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We encourage you to perform a real-time search of NLEBeta
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1

HOMER® Micropower Optimization Model  

DOE Green Energy (OSTI)

NREL has developed the HOMER micropower optimization model. The model can analyze all of the available small power technologies individually and in hybrid configurations to identify least-cost solutions to energy requirements. This capability is valuable to a diverse set of energy professionals and applications. NREL has actively supported its growing user base and developed training programs around the model. These activities are helping to grow the global market for solar technologies.

Lilienthal, P.

2005-01-01T23:59:59.000Z

2

HOMER: The Micropower Optimization Model  

Science Conference Proceedings (OSTI)

HOMER, the micropower optimization model, helps users to design micropower systems for off-grid and grid-connected power applications. HOMER models micropower systems with one or more power sources including wind turbines, photovoltaics, biomass power, hydropower, cogeneration, diesel engines, cogeneration, batteries, fuel cells, and electrolyzers. Users can explore a range of design questions such as which technologies are most effective, what size should components be, how project economics are affected by changes in loads or costs, and is the renewable resource adequate.

Not Available

2004-03-01T23:59:59.000Z

3

HOMER: The Micropower Optimization Model. National Renewable...  

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

HOMER, the micro- power optimization model, helps you design off-grid and grid-connected systems. You can use HOMER to perform analyses to explore a wide range of design questions:...

4

HOMER | Open Energy Information  

Open Energy Info (EERE)

HOMER HOMER Jump to: navigation, search Tool Summary LAUNCH TOOL Name: HOMER Energy Modeling Software Agency/Company /Organization: National Renewable Energy Laboratory Partner: HOMER Energy Sector: Energy Focus Area: Biomass, - Biofuels, - Landfill Gas, Greenhouse Gas, Hydrogen, Solar, - Solar PV, Water Power, Wind Phase: Determine Baseline, Evaluate Options, Develop Goals, Prepare a Plan, Get Feedback, Evaluate Effectiveness and Revise as Needed Topics: Best Practices Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.homerenergy.com/ Cost: Free, Paid OpenEI Keyword(s): HOMER Energy Modeling Software, HOMER, EERE tool Equivalent URI: cleanenergysolutions.org/content/homer-model-evaluate-design-options-g Language: English

5

Building Energy Software Tools Directory: HOMER  

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

HOMER HOMER Evaluates design options for both off-grid and grid-connected power systems for remote, stand-alone, and distributed generation (DG) applications. HOMER's optimization and sensitivity analysis algorithms allow you to evaluate the economic and technical feasibility of a large number of technology options and to account for variation in technology costs and energy resource availability. HOMER models both conventional and renewable energy technologies. Screen Shots Keywords remote power, distributed generation, optimization, off-grid, grid-connected, stand-alone Validation/Testing Validation results are available upon request. Expertise Required Basic familiarity with Windows and the technology of small power systems. Users 3000 users in 142 countries. Approximately 1/3 are in the U.S., 1/3 in

6

Optimization of renewable power system for small scale seawater reverse osmosis desalination unit in Mrair-Gabis village, Libya  

Science Conference Proceedings (OSTI)

Potential of renewable power system for small scale seawater reverse osmosis desalination unit in Mrair-Gabis village, Libya is evaluated. HOMER optimization model is used to evaluate the different possible configuration options for supplying the electrical ... Keywords: HOMER, Mrair-Gabis-Libya, power system, reverse osmosis seawater desalination

Kh. Abulqasem; M. A. Alghoul; M. N. Mohammed; Alshrif. Mustafa; Kh. Glaisa; Nowshad. Amin; A. Zaharim; K. Sopian

2011-07-01T23:59:59.000Z

7

Meteorological Assessment of Homer's Odyssey  

Science Conference Proceedings (OSTI)

A chronology of the meteorological events described by Homer in the Odyssey following the Achæans’ conquest of Troy (ca. 1200 B.C.) is developed. Application of polar front theory to the voyages of six separate fleets as they sailed from Troy ...

Randall S. Cerveny

1993-06-01T23:59:59.000Z

8

NETL: News Release - DOE Opens Nomination Process for 2002 Homer...  

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

Nomination Process For 2002 Homer Lowry Award Award Honors Outstanding Achievement By Fossil Fuels Scientist or Engineer WASHINGTON, DC - Homer H. Lowry Award The U.S....

9

Homer Electric Assn Inc | Open Energy Information  

Open Energy Info (EERE)

Homer Electric Assn Inc Homer Electric Assn Inc Jump to: navigation, search Name Homer Electric Assn Inc Place Alaska Utility Id 19558 Utility Location Yes Ownership C NERC Location AK ISO Other Yes Operates Generating Plant Yes Activity Generation Yes Activity Buying Transmission Yes Activity Distribution Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Commercial Industrial Industrial Large General Service Commercial Outdoor Lighting 175 watt lamp Lighting Outdoor Lighting 250 Lighting

10

Optimization of Electric Power Systems for Off-Grid Domestic Applications: An Argument for Wind/Photovoltaic Hybrids  

SciTech Connect

The purpose of this research was to determine the optimal configuration of home power systems relevant to different regions in the United States. The hypothesis was that, regardless of region, the optimal system would be a hybrid incorporating wind technology, versus a photovoltaic hybrid system without the use of wind technology. The method used in this research was HOMER, the Hybrid Optimization Model for Electric Renewables. HOMER is a computer program that optimizes electrical configurations under user-defined circumstances. According to HOMER, the optimal system for the four regions studied (Kansas, Massachusetts, Oregon, and Arizona) was a hybrid incorporating wind technology. The cost differences between these regions, however, were dependent upon regional renewable resources. Future studies will be necessary, as it is difficult to estimate meteorological impacts for other regions.

Jennings, W.; Green, J.

2001-01-01T23:59:59.000Z

11

Homer, Alaska: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Homer, Alaska: Energy Resources Homer, Alaska: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 59.6425°, -151.5483333° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":59.6425,"lon":-151.5483333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

12

Optimization Online - Python Optimization Modeling Objects (Pyomo)  

E-Print Network (OSTI)

Sep 24, 2008 ... sandia.gov). Abstract: We describe Pyomo, an open-source tool for modeling optimization applications in Python. Pyomo can be used to define ...

13

Optimization Online - Python Optimization Modeling Objects (Pyomo)  

E-Print Network (OSTI)

Dec 30, 2009 ... Python Optimization Modeling Objects (Pyomo). William Hart(wehart ***at*** sandia.gov) Jean-Paul Watson(jwatson ***at*** sandia.gov)

14

New American Home(R) 2006  

SciTech Connect

The New American Home(R) is a ''real-world'' laboratory demonstrating concepts, materials, designs, and construction techniques that can be replicated--in whole or in part--in housing built any place and in any price range. Since its inception in 1984, TNAH has the unique distinction of being both a show house and a for-sale product, balancing architectural freedom and the bottom line. It is a collection of ideas for the industry to take away and put into hundreds of thousands of homes across the country each year. TNAH 2006 was built with technical support from IBACOS and on-site support from IHP.

Not Available

2005-11-01T23:59:59.000Z

15

Optimization Online - Optimizing Preventive Maintenance Models  

E-Print Network (OSTI)

Jun 29, 2004 ... Optimizing Preventive Maintenance Models ... It is assumed that there is a known model which predicts the frequency of system failure as a function of ... Category 2: Applications -- OR and Management Sciences (Scheduling ).

16

Project: Sustainability Modeling and Optimization  

Science Conference Proceedings (OSTI)

... and the capabilities to formulate simulation and optimization models. ... “Energy Efficiency Analysis for a Casting Production System,” Berglund ...

2012-12-27T23:59:59.000Z

17

Turing and the Development of Computational Steven Homer  

E-Print Network (OSTI)

Turing and the Development of Computational Complexity Steven Homer Department of Computer Science Boston University Boston, MA 02215 Alan L. Selman Department of Computer Science and Engineering State to a device with explicit steps of operations and use of resources. This invention led in a most natural way

Texas at Arlington, University of

18

Turing and the Development of Computational Steven Homer  

E-Print Network (OSTI)

Turing and the Development of Computational Complexity Steven Homer Department of Computer Science Boston University Boston, MA 02215 Alan L. Selman Department of Computer Science and Engineering State's beautiful capture of the concept of computability by the "Turing ma- chine" linked computability to a device

Texas at Arlington, University of

19

Nuclear Design of the HOMER-15 Mars Surface Fission Reactor  

Science Conference Proceedings (OSTI)

The next generation of robotic missions to Mars will most likely require robust power sources in the range of 3 to 20 kWe. Fission systems are well suited to provide safe, reliable, and economic power within this range. The goal of this study is to design a compact, low-mass fission system that meets Mars surface power requirements, while maintaining a high level of safety and reliability at a relatively low cost. The Heat pipe Power System (HPS) is one possible approach for producing near-term, low-cost, space fission power. The goal of the HPS project is to devise an attractive space fission system that can be developed quickly and affordably. The primary ways of doing this are by using existing technology and by designing the system for inexpensive testing. If the system can be designed to allow highly prototypic testing with electrical heating, then an exhaustive test program can be carried out quickly and inexpensively, and thorough testing of the actual flight unit can be performed - which is a major benefit to reliability. Over the past 4 years, three small HPS proof-of-concept technology demonstrations have been conducted, and each has been highly successful. The Heat pipe-Operated Mars Exploration Reactor (HOMER) is a derivative of the HPS designed especially for producing power on the surface of Mars. The HOMER-15 is a 15-kWt reactor that couples with a 3-kWe Stirling engine power system. The reactor contains stainless-steel (SS)-clad uranium nitride (UN) fuel pins that are structurally and thermally bonded to SS/sodium heat pipes. Fission energy is conducted from the fuel pins to the heat pipes, which then carry the heat to the Stirling engine. This paper describes conceptual design and nuclear performance the HOMER-15 reactor. (author)

Poston, David I. [Nuclear Systems Design Group, Decision Applications Division, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545 (United States)

2002-07-01T23:59:59.000Z

20

Biotrans: Cost Optimization Model | Open Energy Information  

Open Energy Info (EERE)

Biotrans: Cost Optimization Model Biotrans: Cost Optimization Model Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Biotrans: Cost Optimization Model Focus Area: Ethanol Topics: Market Analysis Website: www.ecn.nl/units/ps/models-and-tools/biotrans/ Equivalent URI: cleanenergysolutions.org/content/biotrans-cost-optimization-model,http Language: English Policies: Deployment Programs DeploymentPrograms: Demonstration & Implementation BIOTRANS optimizes the biofuel supply chain allocation by finding the least-cost configuration of resources and trade to meet a specified biofuel demand in the European transportation sector. The user can constrain the optimization by inputting a number of economic and technological assumptions for a specific target year. References Retrieved from

Note: This page contains sample records for the topic "optimization model homer" 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

Optimization models for ATM network planning  

Science Conference Proceedings (OSTI)

This article describes mathematical programming models that have been developed and employed to evaluate configuration strategies for metropolitan ATM telecommunication networks. The models determine the optimal placement of ATM switch hardware and fiber ... Keywords: ATM, network optimization, telecommunications

Dennis C. Dietz; Amie J. Elcan; Daphne E. Skipper

2003-04-01T23:59:59.000Z

22

Numerical Modeling and Optimization of Microstructure Evolution ...  

Science Conference Proceedings (OSTI)

Presentation Title, Numerical Modeling and Optimization of Microstructure Evolution ... A Hybrid Model on Low Energy Ion Beam Processing Leading to Phase ...

23

Constructing optimal designs for fitting pharmacokinetic models  

Science Conference Proceedings (OSTI)

We consider some computational issues that arise when searching for optimal designs for pharmacokinetic (PK) studies. Special factors that distinguish these are (i) repeated observations are taken from each subject and the observations are usually described ... Keywords: Bayesian optimal design, D-optimality, general optimisation, nonlinear mixed model, pharmacokinetic model

B. Jones; J. Wang

1999-07-01T23:59:59.000Z

24

Modeling and optimization of permanent magnetic motors  

E-Print Network (OSTI)

This thesis develops analytic models for the prediction and optimization of radial-flux permanent magnet motor torque and efficiency. It also facilitates the design optimization of electromagnetically-powered rotorcraft ...

Pinkham, Andrew P

2008-01-01T23:59:59.000Z

25

Model test optimization using the virtual environment for test optimization  

SciTech Connect

We present a software environment integrating analysis and test-based models to support optimal modal test design through a Virtual Environment for Test Optimization (VETO). The VETO assists analysis and test engineers to maximize the value of each modal test. It is particularly advantageous for structural dynamics model reconciliation applications. The VETO enables an engineer to interact with a finite element model of a test object to optimally place sensors and exciters and to investigate the selection of data acquisition parameters needed to conduct a complete modal survey. Additionally, the user can evaluate the use of different types of instrumentation such as filters, amplifiers and transducers for which models are available in the VETO. The dynamic response of most of the virtual instruments (including the device under test) are modeled in the state space domain. Design of modal excitation levels and appropriate test instrumentation are facilitated by the VETO`s ability to simulate such features as unmeasured external inputs, A/D quantization effects, and electronic noise. Measures of the quality of the experimental design, including the Modal Assurance Criterion, and the Normal Mode Indicator Function are available. The VETO also integrates tools such as Effective Independence and minamac to assist in selection of optimal sensor locations. The software is designed about three distinct modules: (1) a main controller and GUI written in C++, (2) a visualization model, taken from FEAVR, running under AVS, and (3) a state space model and time integration module built in SIMULINK. These modules are designed to run as separate processes on interconnected machines.

Klenke, S.E.; Reese, G.M.; Schoof, L.A.; Shierling, C.

1995-11-01T23:59:59.000Z

26

Efficient Production Optimization Using Flow Network Models  

E-Print Network (OSTI)

Reservoir simulation is an important tool for decision making and field development management. It enables reservoir engineers to predict reservoir production performance, update an existing model to reproduce monitoring data, assess alternative field development scenarios and design robust production optimization strategies by taking into account the existing uncertainties. A big obstacle in automating model calibration and production optimization approaches is the massive computation required to predict the response of real reservoirs under proposed changes in the model inputs. To speed up reservoir response predictions without compromising accuracy, fast surrogate models have been proposed. These models are either derived by preserving the physics of the involved processes (e.g. mass balance equations) to provide reliable long-range predictions or are developed based solely on statistical relations, in which case they can only provide short-range predictions due to the absence of the physical processes that govern the long-term behavior of the reservoir. We present an alternative solution that combines the advantages of both statistics-based and physics-based methods by deriving the flow predictions in complex two-dimensional models from one-dimensional flow network models. The existing injection/production wells in the original model form the nodes or vertices of the flow network. Each pair of wells (nodes) in the flow network is connected using a one-dimensional numerical simulation model; hence, the entire reservoir is reduced to a connected network of one-dimensional simulation models where the coupling between the individual one-dimensional models is enforced at the nodes where network edges intersect. The proposed flow network model provides a useful and fast tool for characterizing inter-well connectivity, estimating drainage volume between each pair of wells, and predicting reservoir production over an extended period of time for optimization purposes. We estimate the parameters of the flow network model using a robust training approach to ensure that the flow network model reproduces the response of the original full model under a wide range of development strategies. This step helps preserve the flow network model's predictive power during the production optimization when development strategies can change at different iterations. The robust networks training and the subsequent production optimization iterations are computationally efficient as they are performed with the faster flow network model. We demonstrate the effectiveness and applicability of our proposed flow network modeling approach to rapid production optimization using two-phase waterflooding simulations in synthetic and benchmark models.

Lerlertpakdee, Pongsathorn

2012-08-01T23:59:59.000Z

27

Optimal statistical model for forecasting ozone  

Science Conference Proceedings (OSTI)

The objective of this paper is to apply time series analysis and multiple regression method to ozone data in order to obtain the optimal statistical model for forecasting next day ozone level. The best estimated model is then used to produce one-step ... Keywords: ARMA (p, q), Durbin-Watson Statistic, MAPE, R-square, multiple regression

M. Abdollahian; R. Foroughi; N. Debnath

2006-04-01T23:59:59.000Z

28

Python Optimization Modeling Objects (Pyomo)  

E-Print Network (OSTI)

Dec 29, 2009 ... support open source analysis tools, limitations for software deployment on classified computers, and ..... This command summarizes the information in the Pyomo model, but it does not print ..... mstr inst . market [p , t ] \\ .... a Lockheed Martin Company, for the United States Department of Energy's National.

29

Robust and Stochastically Weighted Multiobjective Optimization Models and Reformulations  

Science Conference Proceedings (OSTI)

We introduce and study a family of models for multiexpert multiobjective/criteria decision making. These models use a concept of weight robustness to generate a risk-averse decision. In particular, the multiexpert multicriteria robust weighted sum approach ... Keywords: McRow, Pareto optimality, multicriterion optimization, multiexpert optimization, robust optimization, weighted sum method

Jian Hu; Sanjay Mehrotra

2012-07-01T23:59:59.000Z

30

Optimal Control Design with Limited Model Information  

E-Print Network (OSTI)

We introduce the family of limited model information control design methods, which construct controllers by accessing the plant's model in a constrained way, according to a given design graph. We investigate the achievable closed-loop performance of discrete-time linear time-invariant plants under a separable quadratic cost performance measure with structured static state-feedback controllers. We find the optimal control design strategy (in terms of the competitive ratio and domination metrics) when the control designer has access to the local model information and the global interconnection structure of the plant-to-be-controlled. At last, we study the trade-off between the amount of model information exploited by a control design method and the best closed-loop performance (in terms of the competitive ratio) of controllers it can produce.

Farokhi, F; Johansson, K H

2011-01-01T23:59:59.000Z

31

Provably near-optimal algorithms for multi-stage stochastic optimization models in operations management  

E-Print Network (OSTI)

Many if not most of the core problems studied in operations management fall into the category of multi-stage stochastic optimization models, whereby one considers multiple, often correlated decisions to optimize a particular ...

Shi, Cong, Ph.D. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

32

Generating exact D-optimal designs for polynomial models  

Science Conference Proceedings (OSTI)

This paper compares several optimization algorithms that can be used to generate exact D-optimal designs (i.e., designs for a specified number of runs) for any polynomial model. The merits and limitations of each algorithm are demonstrated on ... Keywords: general linear regression, mathematical optimization, optimal experimental design

Jacob E. Boon

2007-03-01T23:59:59.000Z

33

Surrogate modeling in the evolutionary optimization of catalytic materials  

Science Conference Proceedings (OSTI)

The search for best performing catalysts leads to high-dimensional optimization tasks. They are by far most frequently tackled using evolutionary algorithms, usually implemented in systems developed specifically for the area of catalysis. Their fitness ... Keywords: applications in chemistry, evolutionary optimization, mixed optimization, model suitability, surrogate modelling

Martin Holena; David Linke; Lukas Bajer

2012-07-01T23:59:59.000Z

34

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

35

Timing modeling and optimization under the transmission line model  

E-Print Network (OSTI)

Abstract—As the operating frequency increases to gigahertz and the rise time of a signal is less than or comparable to the time-of-flight delay of a wire, it is necessary to consider the transmission line behavior for delay computation. We present in this paper, an analytical formula for the delay computation under the transmission line model. Extensive simulations with SPICE show the high fidelity of the formula. Compared with previous works, our model leads to smaller average errors in delay estimation. Based on this formula, we show the property that the minimum delay for a transmission line with reflection occurs when the number of round trips is minimized (i.e., equals one). Besides, we show that the delay of a circuit path is a posynomial function in wire and buffer sizes, implying that a local optimum is equal to the global optimum. Thus, we can apply any efficient search algorithm such as the well-known gradient search procedure to compute the globally optimal solution. Experimental results show that simultaneous wire and buffer sizing is very effective for performance optimization under the transmission line model. Index Terms—Buffer sizing, delay model, inductance, interconnect, performance optimization, transmission line, wire sizing.

Tai-chen Chen; Song-ra Pan; Yao-wen Chang

2004-01-01T23:59:59.000Z

36

Optimizing reservoir management through fracture modeling  

DOE Green Energy (OSTI)

Fracture flow will become increasingly important to optimal reservoir management as exploration of geothermal reservoirs continues and as injection of spent fluid increases. The Department of Energy conducts research focused on locating and characterizing fractures, modeling the effects of fractures on movement of fluid, solutes, and heat throughout a reservoir, and determining the effects of injection on long-term reservoir production characteristics in order to increase the ability to predict with greater certainty the long-term performance of geothermal reservoirs. Improvements in interpreting and modeling geophysical techniques such as gravity, self potential, and aeromagnetics are yielding new information for the delineation of active major conduits for fluid flow. Vertical seismic profiling and cross-borehole electromagnetic techniques also show promise for delineating fracture zones. DOE funds several efforts for simulating geothermal reservoirs. Lawrence Berkeley Laboratory has adopted a continuum treatment for reservoirs with a fracture component. Idaho National Engineering Laboratory has developed simulation techniques which utilize discrete fractures and interchange of fluid between permeable matrix and fractures. Results of these research projects will be presented to industry through publications and appropriate public meetings. 9 refs.

Renner, J.L.

1988-01-01T23:59:59.000Z

37

Advanced Software for Nonlinear Systems Modeling and Optimization  

E-Print Network (OSTI)

Dec 16, 2004... [-3,3]2; observe also the location of the optimal solution (green dot). ... potential energy models in computational chemistry (Pintér, 2000, ...

38

Optimization Online - Use of quadratic models with mesh adaptive ...  

E-Print Network (OSTI)

Mar 6, 2011 ... Use of quadratic models with mesh adaptive direct search for constrained black box optimization. Andrew R Conn (arconn ***at*** us.ibm.com)

39

Through-process Modeling for Cold Spray Alloy Optimization  

Science Conference Proceedings (OSTI)

Presentation Title, Through-process Modeling for Cold Spray Alloy Optimization ... repairability, and energy efficiency are highly desirable in many industries.

40

Modeling recreational systems using optimization techniques and ...  

E-Print Network (OSTI)

E-mail: oleg.shcherbina@univie.ac.at. E. Shembeleva. University of ...... 43. Godart, J.-M. (2005). Challenges in Real World Sightseeing Tour Optimization Using.

Note: This page contains sample records for the topic "optimization model homer" 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

Optimization Online - Nonlinear Model Predictive Control via ...  

E-Print Network (OSTI)

Aug 15, 2002 ... Citation: Optimization Technical Report 02-06, August, 2002, Computer Sciences Department, University of Wisconsin. Texas-Wisconsin ...

42

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

43

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

44

Optimization models of gas recovery and gas condensate processing  

Science Conference Proceedings (OSTI)

We present a complex of mathematical models that formalize gas recovery and processing. Optimization problems for gas recovery and gas condensate processing are stated and corresponding solution algorithms are suggested. These mathematical models provide ...

M. Kh. Prilutskii; V. E. Kostyukov

2012-05-01T23:59:59.000Z

45

Local energy management through mathematical modeling and optimization  

E-Print Network (OSTI)

(cont.) Extensions to the core TOTEM model include a demand charge model, used for making daily optimal control decisions when the electric bill includes a charge based on the monthly maximum power draw. The problem of ...

Craft David (David Loren), 1973-

2004-01-01T23:59:59.000Z

46

Online Modeling in the Process Industry for Energy Optimization  

E-Print Network (OSTI)

"This paper discusses how steady state models are being used in the process industry to perform online energy optimization of steam and electrical systems. It presents process demands commonly found in the processing industry in terms of steam and electricity. It further discusses the methods of providing this energy for refineries, petrochemical plants, and other processing plants - chemical, paper, and metal. A typical system flow diagram is used to highlight the energy system network and describe areas where steady-state models are used. The types of models used are discussed, and a scheme for putting the models together to provide total process plant energy optimization is summarized. The types of optimization which can be implemented in a process plant is thus presented. The paper points out what steady-state modeling is needed to do online optimization of an energy network in a processing plant. Finally, a discussion of the economics on online energy optimization is presented."

Alexander, J.

1988-09-01T23:59:59.000Z

47

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

48

Nonlinear regression model generation using hyperparameter optimization  

Science Conference Proceedings (OSTI)

An algorithm of the inductive model generation and model selection is proposed to solve the problem of automatic construction of regression models. A regression model is an admissible superposition of smooth functions given by experts. Coherent Bayesian ... Keywords: Coherent Bayesian inference, Hyperparameters, Model generation, Model selection, Regression

Vadim Strijov; Gerhard Wilhelm Weber

2010-08-01T23:59:59.000Z

49

Optimization model based on genetic algorithms for oil wells  

Science Conference Proceedings (OSTI)

The Processes of optimization of oil wells involve an objective function that maximizes the commercial price and minimizes the production cost. For the solution of this type of problem, in the last decade the evolutionary technologies have demonstrated ... Keywords: evolutionary computation, model of production of well, problem of optimization, wells by artificial gas lift

Edgar Camargo; José Aguilar; Addison Ríos; Francklin Rivas; Joseph Aguilar-Martin

2010-12-01T23:59:59.000Z

50

Modeling and Optimizing the Thermal Stress Distribution in a ...  

Science Conference Proceedings (OSTI)

Conference Tools for Materials Science & Technology 2012 ... Presentation Title, Modeling and Optimizing the Thermal Stress Distribution in a Plasma Spray System for ... and analyzed for an applied thermal load in COMSOL® Multiphysics®.

51

Optimal Perturbations in the Eady Model: Resonance versus PV Unshielding  

Science Conference Proceedings (OSTI)

Using a nonmodal decomposition technique based on the potential vorticity (PV) perspective, the optimal perturbation or singular vector (SV) of the Eady model without upper rigid lid is studied for a kinetic energy norm. Special emphasis is put ...

H. de Vries; J. D. Opsteegh

2005-02-01T23:59:59.000Z

52

Optimizing Parameters in an Atmospheric General Circulation Model  

Science Conference Proceedings (OSTI)

An efficient method to optimize the parameter values of the subgrid parameterizations of an atmospheric general circulation model is described. The method is based on the downhill simplex minimization of a cost function computed from the ...

C. A. Severijns; W. Hazeleger

2005-09-01T23:59:59.000Z

53

Optimal Forcing Patterns for Coupled Models of ENSO  

Science Conference Proceedings (OSTI)

The optimal forcing patterns for El Niño–Southern Oscillation (ENSO) are examined for a hierarchy of hybrid coupled models using generalized stability theory. Specifically two cases are considered: one where the forcing is stochastic in time, and ...

Andrew M. Moore; Javier Zavala-Garay; Youmin Tang; Richard Kleeman; Anthony T. Weaver; Jérôme Vialard; Kamran Sahami; David L. T. Anderson; Michael Fisher

2006-09-01T23:59:59.000Z

54

Gas permeation carbon capture --- Process modeling and optimization  

SciTech Connect

A multi-staged gas permeation carbon capture process model was developed in Aspen Custom Modeler{reg_sign} (ACM) and optimized in the context of the retrofit of a 550 MW subcritical pulverized coal (PC) power plant. The gas permeation stages in the process are described by a custom multi-component, hollowfiber membrane model. Gas transport across the asymmetric membrane was modeled according to the solution-diffusion model for the selective skin layer and the assumption of negligible flux resistance by the porous support. Counter-current, one-dimensional plug flow was assumed with permeate pressure drop in the fiber lumen side due to capillary constrained flow. A modular optimization framework was used to minimize the levelized cost of electricity (LCOE) by optimizing a set of key process variables. The framework allows the external control of multiple simulation modules from different software packages from a common interface.

Morinelly, Juan; Miller, David

2011-01-01T23:59:59.000Z

55

New Models Help Optimize Development of Bakken Shale Resources | Department  

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

Models Help Optimize Development of Bakken Shale Resources Models Help Optimize Development of Bakken Shale Resources New Models Help Optimize Development of Bakken Shale Resources February 7, 2012 - 12:00pm Addthis Washington, DC - Exploration and field development in the largest continuous oil play in the lower 48 states, located in North Dakota and eastern Montana, will be guided by new geo-models developed with funding from the Department of Energy's (DOE) Office of Fossil Energy (FE). The three-year project to develop exploration and reservoir models for the Bakken Shale resource play was conducted by the Colorado School of Mines (CSM), through research funded by FE's Oil and Natural Gas Program. A "play" is a shale formation containing significant accumulations of natural gas or oil. The U.S. Geological Survey estimates the Bakken Shale

56

New Models Help Optimize Development of Bakken Shale Resources | Department  

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

New Models Help Optimize Development of Bakken Shale Resources New Models Help Optimize Development of Bakken Shale Resources New Models Help Optimize Development of Bakken Shale Resources February 7, 2012 - 12:00pm Addthis Washington, DC - Exploration and field development in the largest continuous oil play in the lower 48 states, located in North Dakota and eastern Montana, will be guided by new geo-models developed with funding from the Department of Energy's (DOE) Office of Fossil Energy (FE). The three-year project to develop exploration and reservoir models for the Bakken Shale resource play was conducted by the Colorado School of Mines (CSM), through research funded by FE's Oil and Natural Gas Program. A "play" is a shale formation containing significant accumulations of natural gas or oil. The U.S. Geological Survey estimates the Bakken Shale

57

Optimal aggregation of linear time series models  

Science Conference Proceedings (OSTI)

Aggregation is a central and mainly unsolved problem in econometrics. When considering linear time series models, a widely used method is to replace the disaggregate model by an aggregative one in which the variables are grouped and replaced by sums ... Keywords: Aggregation, Industrial classification, Threshold accepting

J. Chipman; P. Winker

2005-04-01T23:59:59.000Z

58

Optimal Accuracy in Semi-Lagrangian Models  

Science Conference Proceedings (OSTI)

A one-dimensional semi-implicit semi-Lagrangian (SISL) linear model and a nonlinear SISL global shallow-water model are employed to investigate the sensitivity of the solutions on (i) the order of interpolation applied at the departure points, (...

Fredrick H. M. Semazzi; Paul Dekker

1994-09-01T23:59:59.000Z

59

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

60

NETL: Gasification Systems - Model Based Optimal Sensor Network Design for  

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

Model Based Optimal Sensor Network Design for Condition Monitoring Model Based Optimal Sensor Network Design for Condition Monitoring Project Number: FE0005712 General Electric (GE) Global Research is developing an advanced model-based optimal sensor network to monitor the condition of the gasification section in an integrated gasification combined cycle (IGCC) plant. The work builds on model-based controls aimed at enhancing efficiency and operational flexibility through increased automation. Within an overall strategy of employing model-based online monitoring and predictive controls, GE Global Research is extending existing models for the gasifier and radiant syngas cooler to include the effects of degradation and fouling on the sensed variables like temperature etc., and will implement an estimation algorithm to assess the extent of gasifier refractory degradation and radiant syngas cooler fouling. An optimization-based solution will be employed to optimally place the hardware sensors utilized in the estimation algorithm in order to achieve the monitoring requirements at the lowest cost. The performance of the sensor placement algorithm and resulting monitoring solution will be demonstrated through simulations using representative test cases. The overall approach is one of the first to be applicable to condition monitoring of critical components in IGCC plants.

Note: This page contains sample records for the topic "optimization model homer" 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

An optimization approach to kinetic model reduction for combustion chemistry  

E-Print Network (OSTI)

Model reduction methods are relevant when the computation time of a full convection-diffusion-reaction simulation based on detailed chemical reaction mechanisms is too large. In this article, we review a model reduction approach based on optimization of trajectories and show its applicability to realistic combustion models. As most model reduction methods, it identifies points on a slow invariant manifold based on time scale separation in the dynamics of the reaction system. The numerical approximation of points on the manifold is achieved by solving a semi-infinite optimization problem, where the dynamics enter the problem as constraints. The proof of existence of a solution for an arbitrarily chosen dimension of the reduced model (slow manifold) is extended to the case of realistic combustion models including thermochemistry by considering the properties of proper maps. The model reduction approach is finally applied to three models based on realistic reaction mechanisms: 1. ozone decomposition as a small t...

Lebiedz, Dirk

2013-01-01T23:59:59.000Z

62

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

63

Global and Convex Optimization in Modeling Environments ...  

E-Print Network (OSTI)

Aug 12, 2002 ... This model is a frequently used classical GO test ..... The results are automatically written to a summary and a detailed report file. ..... radiated acoustic power, delivered to the radiation resistance Rr, to input electric power.

64

Infrared Radiance Modeling by Optimal Spectral Sampling  

Science Conference Proceedings (OSTI)

This paper describes a rapid and accurate technique for the numerical modeling of band transmittances and radiances in media with nonhomogeneous thermodynamic properties (i.e., temperature and pressure), containing a mixture of absorbing gases ...

Jean-Luc Moncet; Gennady Uymin; Alan E. Lipton; Hilary E. Snell

2008-12-01T23:59:59.000Z

65

An integrated model for optimizing weld quality  

SciTech Connect

Welding has evolved in the last few decades from almost an empirical art to an activity embodying the most advanced tools of, various basic and applied sciences. Significant progress has been made in understanding the welding process and welded materials. The improved knowledge base has been useful in automation and process control. In view of the large number of variables involved, creating an adequately large database to understand and control the welding process is expensive and time consuming, if not impractical. A recourse is to simulate welding processes through a set of mathematical equations representing the essential physical processes of welding. Results obtained from the phenomenological models depend crucially on the quality of the physical relations in the models and the trustworthiness of input data. In this paper, recent advances in the mathematical modeling of fundamental phenomena in welds are summarized. State of the art mathematical models, advances in computational techniques, emerging high performance computers, and experimental validation techniques have provided significant insight into the fundamental factors that control the development of the weldment. Current status and scientific issues in heat and fluid flow in welds, heat source metal interaction, and solidification microstructure are assessed. Future research areas of major importance for understanding the fundamental phenomena in weld behavior are identified.

Zacharia, T.; Radhakrishnan, B. [Oak Ridge National Lab., TN (United States); Paul, A.J.; Cheng, C. [Concurrent Technologies Corp., Johnstown, PA (United States)

1995-06-01T23:59:59.000Z

66

Safety Evaluation Report for the Claiborne Enrichment Center, Homer, Louisiana (Docket No. 70-3070)  

Science Conference Proceedings (OSTI)

This report documents the US Nuclear Regulatory Commission (NRC) staff review and safety evaluation of the Louisiana Energy Services, L.P. (LES, the applicant) application for a license to possess and use byproduct, source, and special nuclear material and to enrich natural uranium to a maximum of 5 percent U-235 by the gas centrifuge process. The plant, to be known as the Claiborne Enrichment Center (CEC), would be constructed near the town of Homer in Claiborne Parish, Louisiana. At full production in a given year, the plant will receive approximately 4,700 tonnes of feed UF{sub 6} and produce 870 tonnes of low-enriched UF{sub 6}, and 3,830 tonnes of depleted UF{sub 6} tails. Facility construction, operation, and decommissioning are expected to last 5, 30, and 7 years, respectively. The objective of the review is to evaluate the potential adverse impacts of operation of the facility on worker and public health and safety under both normal operating and accident conditions. The review also considers the management organization, administrative programs, and financial qualifications provided to assure safe design and operation of the facility. The NRC staff concludes that the applicant`s descriptions, specifications, and analyses provide an adequate basis for safety review of facility operations and that construction and operation of the facility does not pose an undue risk to public health and safety.

Not Available

1994-01-01T23:59:59.000Z

67

Modeling and Optimization of a Bioethanol Production Facility  

E-Print Network (OSTI)

The primary objective of this work is to identify the optimal bioethanol production plant capacity and configuration based on currently available technology for all the processing sections involved. To effect this study, a systematic method is utilized which involves the development of a superstructure for the overall technology selection, process simulation and model regression of each processing step as well as equipment costing and overall economic evaluation. The developed optimization model is also designed to incorporate various biomass feedstocks as well as realistic maximum equipment sizing thereby ensuring pragmatism of the work. For this study, the criterion for optimization is minimum ethanol price. The secondary and more interesting aim of this work was to develop a systematic method for evaluating the economics of biomass storage due to seasonal availabilities. In essence, a mathematical model was developed to link seasonal availabilities with plant capacity with subsequent integration into the original model developed. Similarly, the criterion for optimization is minimum ethanol price. The results of this work reveal that the optimal bioethanol production plant capacity is ~2800 MT biomass/day utilizing Ammonia Fiber Explosion pretreatment technology and corn stover as the preferred biomass feedstock. This configuration provides a minimum ethanol price of $1.96/gal. Results also show that this optimal pretreatment choice has a relatively high sensitivity to chemical cost thereby increasing the risk of implementation. Secondary to this optimal selection was lime pretreatment using switchgrass which showed a fairly stable sensitivity to market chemical cost. For the storage economics evaluation, results indicated that biomass storage is not economical beyond a plant capacity of ~98 MMgal/yr with an average biomass shortage period of 3 months. The study also showed that for storage to be economical at all plant capacities, the storage scheme employed should be general open air land use with a corresponding biomass loss rate as defined in the study of 0.5 percent per month.

Gabriel, Kerron Jude

2011-08-01T23:59:59.000Z

68

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

69

GRAVITATIONAL LENS MODELING WITH GENETIC ALGORITHMS AND PARTICLE SWARM OPTIMIZERS  

Science Conference Proceedings (OSTI)

Strong gravitational lensing of an extended object is described by a mapping from source to image coordinates that is nonlinear and cannot generally be inverted analytically. Determining the structure of the source intensity distribution also requires a description of the blurring effect due to a point-spread function. This initial study uses an iterative gravitational lens modeling scheme based on the semilinear method to determine the linear parameters (source intensity profile) of a strongly lensed system. Our 'matrix-free' approach avoids construction of the lens and blurring operators while retaining the least-squares formulation of the problem. The parameters of an analytical lens model are found through nonlinear optimization by an advanced genetic algorithm (GA) and particle swarm optimizer (PSO). These global optimization routines are designed to explore the parameter space thoroughly, mapping model degeneracies in detail. We develop a novel method that determines the L-curve for each solution automatically, which represents the trade-off between the image {chi}{sup 2} and regularization effects, and allows an estimate of the optimally regularized solution for each lens parameter set. In the final step of the optimization procedure, the lens model with the lowest {chi}{sup 2} is used while the global optimizer solves for the source intensity distribution directly. This allows us to accurately determine the number of degrees of freedom in the problem to facilitate comparison between lens models and enforce positivity on the source profile. In practice, we find that the GA conducts a more thorough search of the parameter space than the PSO.

Rogers, Adam; Fiege, Jason D. [Department of Physics and Astronomy, University of Manitoba, Winnipeg, Manitoba R3T-2N2 (Canada)

2011-02-01T23:59:59.000Z

70

Optimal reinsurance/investment problems for general insurance models  

E-Print Network (OSTI)

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

Liu, Yuping; 10.1214/08-AAP582

2009-01-01T23:59:59.000Z

71

A Model to Optimize Green Energy Supply Chain  

Science Conference Proceedings (OSTI)

Bioenergy is renewable energy derived from biological sources, to be used for production of heat, electricity and transportation fuels. The collection of biomass is a logistic process from different source locations to energy plants. The biomass-to-energy ... Keywords: supply chain, green, optimize, model

Na Liu

2012-10-01T23:59:59.000Z

72

A stochastic control model for optimal timing of climate policies  

Science Conference Proceedings (OSTI)

A stochastic control model is proposed as a paradigm for the design of optimal timing of greenhouse gas (GHG) emission abatement. The resolution of uncertainty concerning climate sensitivity and the technological breakthrough providing access to a carbon-free ... Keywords: Climate policies, Environmental hedging strategies, Piecewise deterministic Markov process, Stochastic control

O. Bahn; A. Haurie; R. Malhamé

2008-06-01T23:59:59.000Z

73

Metaheuristics for strain optimization using transcriptional information enriched metabolic models  

Science Conference Proceedings (OSTI)

The identification of a set of genetic manipulations that result in a microbial strain with improved production capabilities of a metabolite with industrial interest is a big challenge in Metabolic Engineering. Evolutionary Algorithms and Simulated Annealing ... Keywords: flux-balance analysis, metabolic engineering, set based representations, strain optimization, transcriptional models

Paulo Vilaça; Paulo Maia; Isabel Rocha; Miguel Rocha

2010-04-01T23:59:59.000Z

74

Hybrid Model for Building Performance Diagnosis and Optimal Control  

E-Print Network (OSTI)

Modern buildings require continuous performance monitoring, automatic diagnostics and optimal supervisory control. For these applications, simplified dynamic building models are needed to predict the cooling and heating requirement viewing the building as a whole system. This paper proposes a new hybrid model. Half of the model is represented by detailed physical parameters and another half is described by identified parameters. 3R2C thermal network model, which consists of three resistances and two capacitances, is used to simulate building envelope whose parameters are determined in frequency domain using the theoretical frequency characteristics of the envelope. Internal mass is represented by a 2R2C thermal network model, which consists of three resistances and two capacitances. The resistances and capacitances of the 2R2C model are assumed to be constant. A GA (genetic algorithm)-based method is developed for model parameter identification by searching the optimal parameters of 3R2C models of envelopes in frequency domain and that of the 2R2C model of the building internal mass in time domain. As the model is based on the physical characteristics, the hybrid model can be used to predict the cooling and heating energy consumption of buildings accurately in wide range of operation conditions.

Wang, S.; Xu, X.

2003-01-01T23:59:59.000Z

75

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

E-Print Network (OSTI)

maintenance and repair policies in infrastructure managementOptimal maintenance decisions for pavement management. ” J.Maintenance; Optimization; Probabilistic models; Adaptive systems; Uncertainty principles . Introduction Infrastructure management

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

2006-01-01T23:59:59.000Z

76

CPOPT : optimization for fitting CANDECOMP/PARAFAC models.  

Science Conference Proceedings (OSTI)

Tensor decompositions (e.g., higher-order analogues of matrix decompositions) are powerful tools for data analysis. In particular, the CANDECOMP/PARAFAC (CP) model has proved useful in many applications such chemometrics, signal processing, and web analysis; see for details. The problem of computing the CP decomposition is typically solved using an alternating least squares (ALS) approach. We discuss the use of optimization-based algorithms for CP, including how to efficiently compute the derivatives necessary for the optimization methods. Numerical studies highlight the positive features of our CPOPT algorithms, as compared with ALS and Gauss-Newton approaches.

Dunlavy, Daniel M.; Kolda, Tamara Gibson; Acar, Evrim

2008-10-01T23:59:59.000Z

77

Optimal Control of the Solid Fuel Ignition Model with H1-Cost  

Science Conference Proceedings (OSTI)

Optimal control problems for the stationary as well as the time-dependent solid fuel ignition model are investigated. Existence of optimal controls is proved, and optimality systems are derived. The analysis is based on a closedness lemma for the exponential ... Keywords: control of exponential nonlinearity, explosion phenomena, optimal control, optimality conditions

Kazufumi Ito; Karl Kunisch

2001-05-01T23:59:59.000Z

78

Optimal Consumption Problem in a Diffusion Short-Rate Model  

E-Print Network (OSTI)

We consider a problem of an optimal consumption strategy on the infinite time horizon when the short-rate is a diffusion process. General existence and uniqueness theorem is illustrated by the Vasicek and so-called invariant interval models. We show also that when the short-rate dynamics is given by a Brownian motion or a geometric Brownian motion, then the value function is infinite.

Synowiec, Daniel

2009-01-01T23:59:59.000Z

79

Radiation field modeling and optimization of a compact and modular  

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

Radiation field modeling and optimization of a compact and modular Radiation field modeling and optimization of a compact and modular multi-plate photocatalytic reactor (MPPR) for air/water purification by Monte Carlo method Title Radiation field modeling and optimization of a compact and modular multi-plate photocatalytic reactor (MPPR) for air/water purification by Monte Carlo method Publication Type Journal Article Year of Publication 2013 Authors Zazueta, Ana Luisa Loo, Hugo Destaillats, and Gianluca Li Puma Journal Chemical Engineering Journal Volume 217 Pagination 475-485 Date Published 02/01/2013 Abstract The radiation field in a multi-plate photocatalytic reactor (MPPR) for air or water purification was modeled and optimized using a Monte Carlo stochastic method. The MPPR consists of parallel photocatalytic plates irradiated by cylindrical UV lamps orthogonal to the plates. The photocatalyst titanium dioxide (TiO2) is supported on the plates as a thin film. The photoreactor design is compact and offers a large irradiated photocatalytic surface area, a high degree of photon utilization, low pressure drop and a modular design which can facilitate scale-up. These features are desirable for the decontamination of indoor air in ventilation ducts or for water detoxification. The Monte Carlo method was applied to determine three dimensionless reactor performance parameters: the photon absorption efficiency (Φ), the uniformity of the distribution of the dimensionless radiation intensity (η) and the overall photonic efficiency (Φ). The emission of photons from the light sources was simulated by the extensive source with superficial emission (ESSE) model. Simulations were performed by varying the catalyst reflectivity albedo, the number and the diameter of lamps, and the dimensions and spacing of the photocatalytic plates. Optimal design for a basic reactor module with one lamp was accomplished for lamp-diameter-to-plate-height ratio (β) of 0.7, while the plate-spacing-to-plate-height ratio (α) was correlated by [αoptimum = 0.191 β2 - 0.5597 β + 0.3854]. A multilamp arrangement leads to a feasible increase in the size and number of the plates and the irradiated photocatalytic surface area. The optimum design was validated by measuring the apparent quantum yield of the oxidation of toluene (7 ppmv) in a humidified air stream using immobilized TiO2 (Degussa P25). Experiments performed varying the geometrical parameter α correlated well with the model calculations, with maximum apparent quantum yield for α = 0.137. The results are directly transferable to the treatment of water by photocatalysis.

80

Particle swarm optimization based on model space theory and its application on transmission network planning  

Science Conference Proceedings (OSTI)

A model space and space compression theory is developed. The theory defined an N-1 security network as a model, and then defined a model space according a given model. Using this theory in Particle Swarm Optimization can prevent particles form searching ... Keywords: model, model space, model structure mutation, particle swarm optimization, transmission network expansion planning

Yi-Xiong Jin; Juan Su

2007-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

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

82

Optimization Online - Coordinators  

E-Print Network (OSTI)

... Programming); William Hart — Sandia National Laboratory; (Combinatorial Optimization / Global Optimization / Optimization Software and Modeling Systems

83

Optimal design of aeroengine turbine disc based on kriging surrogate models  

Science Conference Proceedings (OSTI)

A design optimization method based on kriging surrogate models is proposed and applied to the shape optimization of an aeroengine turbine disc. The kriging surrogate model is built to provide rapid approximations of time-consuming computations. For improving ... Keywords: Design of experiments, Differential evolutionary algorithm, Kriging method, Optimal design, Surrogate model, Turbine disc

Zhangjun Huang; Chengen Wang; Jian Chen; Hong Tian

2011-01-01T23:59:59.000Z

84

Optimal control of CPR procedure using hemodynamic circulation model  

DOE Patents (OSTI)

A method for determining a chest pressure profile for cardiopulmonary resuscitation (CPR) includes the steps of representing a hemodynamic circulation model based on a plurality of difference equations for a patient, applying an optimal control (OC) algorithm to the circulation model, and determining a chest pressure profile. The chest pressure profile defines a timing pattern of externally applied pressure to a chest of the patient to maximize blood flow through the patient. A CPR device includes a chest compressor, a controller communicably connected to the chest compressor, and a computer communicably connected to the controller. The computer determines the chest pressure profile by applying an OC algorithm to a hemodynamic circulation model based on the plurality of difference equations.

Lenhart, Suzanne M. (Knoxville, TN); Protopopescu, Vladimir A. (Knoxville, TN); Jung, Eunok (Seoul, KR)

2007-12-25T23:59:59.000Z

85

Optimization  

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

failure events, including standard model, checkpoint model, Markov Renewal Process, Bayesian model, and automatic- repeat-request (ARQ) model. They cannot be directly used in...

86

Optimization Online - Modeling the Mobile Oil Recovery Problem as ...  

E-Print Network (OSTI)

Feb 6, 2009 ... The goal of the MOR optimization Problem (MORP) is to optimize both the oil extraction and the travel costs. We describe several formulations ...

87

Optimal Control of Distributed Energy Resources using Model Predictive Control  

Science Conference Proceedings (OSTI)

In an isolated power system (rural microgrid), Distributed Energy Resources (DERs) such as renewable energy resources (wind, solar), energy storage and demand response can be used to complement fossil fueled generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging. In this paper, an optimal control strategy is proposed to coordinate energy storage and diesel generators to maximize wind penetration while maintaining system economics and normal operation. The problem is formulated as a multi-objective optimization problem with the goals of minimizing fuel costs and changes in power output of diesel generators, minimizing costs associated with low battery life of energy storage and maintaining system frequency at the nominal operating value. Two control modes are considered for controlling the energy storage to compensate either net load variability or wind variability. Model predictive control (MPC) is used to solve the aforementioned problem and the performance is compared to an open-loop look-ahead dispatch problem. Simulation studies using high and low wind profiles, as well as, different MPC prediction horizons demonstrate the efficacy of the closed-loop MPC in compensating for uncertainties in wind and demand.

Mayhorn, Ebony T.; Kalsi, Karanjit; Elizondo, Marcelo A.; Zhang, Wei; Lu, Shuai; Samaan, Nader A.; Butler-Purry, Karen

2012-07-22T23:59:59.000Z

88

Implications of a Regime-Switching Model on Natural Gas Storage Valuation and Optimal Operation  

E-Print Network (OSTI)

Implications of a Regime-Switching Model on Natural Gas Storage Valuation and Optimal Operation-switching model for the risk adjusted natural gas spot price and study the implications of the model on the valuation and optimal operation of natural gas storage facilities. We calibrate the model parameters to both

Forsyth, Peter A.

89

Using Genetic Algorithms to Optimize Bathymetric Sampling for Predictive Model Input  

Science Conference Proceedings (OSTI)

This paper describes the use of an optimization method to effectively reduce the required bathymetric sampling for forcing a numerical forecast model by using the model’s sensitivity to this input. A genetic algorithm is developed to gradually ...

Dinesh Manian; James M. Kaihatu; Emily M. Zechman

2012-03-01T23:59:59.000Z

90

An Efficient Stochastic Bayesian Approach to Optimal Parameter and Uncertainty Estimation for Climate Model Predictions  

Science Conference Proceedings (OSTI)

One source of uncertainty for climate model predictions arises from the fact that climate models have been optimized to reproduce observational means. To quantify the uncertainty resulting from a realistic range of model configurations, it is ...

Charles Jackson; Mrinal K. Sen; Paul L. Stoffa

2004-07-01T23:59:59.000Z

91

Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies  

Science Conference Proceedings (OSTI)

We present a risk-group oriented chronic disease progression model embedded within a metaheuristic-based optimization of the policy variables. Policy-makers are provided with Pareto-optimal screening schedules for risk groups by considering cost and ... Keywords: chronic disease policy analysis, decision analysis, dynamic resource allocation, health care, metaheuristics, multicriteria optimization, prevention

Marion S. Rauner; Walter J. Gutjahr; Kurt Heidenberger; Joachim Wagner; Joseph Pasia

2010-09-01T23:59:59.000Z

92

Intelligent process modeling and optimization of die-sinking electric discharge machining  

Science Conference Proceedings (OSTI)

This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using finite element method (FEM) has been integrated with the soft computing techniques like artificial ... Keywords: Artificial neural networks (ANN), Electric discharge machining (EDM), Finite element method (FEM), Non-dominated sorting genetic algorithm (NSGA), Process modeling and optimization, Scaled conjugate gradient algorithm (SCG)

S. N. Joshi; S. S. Pande

2011-03-01T23:59:59.000Z

93

ARIMA Model Estimated by Particle Swarm Optimization Algorithm for Consumer Price Index Forecasting  

Science Conference Proceedings (OSTI)

This paper presents an ARIMA model which uses particle swarm optimization algorithm (PSO) for model estimation. Because the traditional estimation method is complex and may obtain very bad results, PSO which can be implemented with ease and has a powerful ... Keywords: ARIMA model, Consumer price index, Moment estimation, Particle swarm optimization algorithm

Hongjie Wang; Weigang Zhao

2009-11-01T23:59:59.000Z

94

Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM .  

E-Print Network (OSTI)

??A genetic algorithm was used to optimize the power output of multi-junction solar cells. Solar cell operation was modeled using the Silvaco ATLASTM software. The… (more)

Utsler, James

2006-01-01T23:59:59.000Z

95

Techniques for Battery Health Conscious Power Management via Electrochemical Modeling and Optimal Control.  

E-Print Network (OSTI)

??This dissertation combines electrochemical battery models and optimal control theory to study power management in energy storage/conversion systems. This topic is motivated by the need… (more)

Moura, Scott J.

2011-01-01T23:59:59.000Z

96

Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies (Presentation)  

DOE Green Energy (OSTI)

This Annual Merit Review presentation describes the application of the Battery Ownership Model for strategies for optimal battery use in electric drive vehicles (PEVs, PHEVs, and BEVs).

Neubauer, J.; Ahmad, P.; Brooker, A.; Wood, E.; Smith, K.; Johnson, C.; Mendelsohn, M.

2012-05-01T23:59:59.000Z

97

Fuzzy-Pareto-dominance driven possibilistic model based planning of electrical distribution systems using multi-objective particle swarm optimization  

Science Conference Proceedings (OSTI)

This paper presents a fuzzy-Pareto dominance driven possibilistic model based planning of electrical distribution systems using multi-objective particle swarm optimization (MOPSO). This multi-objective planning model captures the possibilistic variations ... Keywords: Electrical distribution system planning, Fuzzy-Pareto-dominance, Multi-objective optimization, Pareto-optimality, Particle swarm optimization, Possibilistic load model

N. C. Sahoo; S. Ganguly; D. Das

2012-01-01T23:59:59.000Z

98

Continuously Optimized Reliable Energy (CORE) Microgrid: Models & Tools (Fact Sheet)  

SciTech Connect

This brochure describes Continuously Optimized Reliable Energy (CORE), a trademarked process NREL employs to produce conceptual microgrid designs. This systems-based process enables designs to be optimized for economic value, energy surety, and sustainability. Capabilities NREL offers in support of microgrid design are explained.

Not Available

2013-07-01T23:59:59.000Z

99

Using the NOABL flow model and mathematical optimization as a micrositing tool  

DOE Green Energy (OSTI)

This report describes the use of an improved mass-consistent model that is intended for diagnosing wind fields in complex terrain. The model was developed by merging an existing mass-consistent model, the NOABL model, with an optimization procedure. The optimization allows objective calculation of important model input parameters that previously had been supplied through guesswork; in this manner, the accuracy of the calculated winds has been greatly increased. The report covers such topics as the software structure of the model, assembling an input file, processing the model's output, and certain cautions about the model's operation. The use of the model is illustrated by a test case.

Wegley, H.L.; Barnard, J.C.

1986-11-01T23:59:59.000Z

100

Modeling Residual Chlorine Decay for Optimization of Booster Chlorination in Urban-rural Water Distribution System  

Science Conference Proceedings (OSTI)

The key procedure of optimization of the control of the booster chlorination is modeling the relationship between the concentration of the spot of the booster chlorination (after dosing) and the concentration of the monitoring points on the remote end ... Keywords: Residual chlorine decay, Hybrid transfer function model, Optimization of booster chlorination, Urban-rural water distribution system

Jingqing Liu; Zuozi Huang; Shengwei Tan

2012-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

BaF2for microlithography applications: Modeling, simulation and optimization of the crystal growth process  

Science Conference Proceedings (OSTI)

Optimization is the ultimate goal of numerical modeling of crystal growth processes. We present the most important physical phenomena to establish a numerical process model for an industrial vertical gradient freeze (VGF) process of barium fluoride (BaF"2). ... Keywords: 44.05.+e, 81.10.Fq, Heat and mass transfer, Heat radiation, Process optimization

Rainer Backofen; Angel Ribalta; Axel Voigt; Dirk Wulff-Molder

2007-06-01T23:59:59.000Z

102

Optimal control of nonlinear dynamic econometric models: An algorithm and an application  

Science Conference Proceedings (OSTI)

OPTCON is an algorithm for the optimal control of nonlinear stochastic systems which is particularly applicable to econometric models. It delivers approximate numerical solutions to optimum control problems with a quadratic objective function for nonlinear ... Keywords: Algorithms, Econometric modeling, Optimal control, Policy applications, Stochastic control

V. Blueschke-Nikolaeva; D. Blueschke; R. Neck

2012-11-01T23:59:59.000Z

103

Applications of agent-based models for optimization problems: A literature review  

Science Conference Proceedings (OSTI)

Agent based models (ABM) have been recently applied to solve optimization problems whose domains present several inter-related components in a distributed and heterogeneous environment. In this work we illustrate the state of the art related to the use ... Keywords: Agent-based modeling, Heuristics, Optimization problems

M. Barbati; G. Bruno; A. Genovese

2012-04-01T23:59:59.000Z

104

MODEL AND OPTIMIZATION OF ORGANIC PHOTOVOLTAIC CELLS Amelia McNamara  

E-Print Network (OSTI)

MODEL AND OPTIMIZATION OF ORGANIC PHOTOVOLTAIC CELLS By Amelia McNamara Jordan Seering and Yi Zeng: 612/626-7370 URL: http://www.ima.umn.edu #12;Model and Optimization of Organic Photovoltaic Cells the organic photovoltaic cell, an important topic in the energy industry which has not been well studied. We

105

Modeling risk and simulation-based optimization of channel depths at Cam Pha Coal Port  

Science Conference Proceedings (OSTI)

This paper presents a simulation-based method and a risk model of ship grounding for a long-term optimization of channel depths. The long-term optimization of channel depths should be considered a two-stage process: Firstly, establishing a ship entrance ... Keywords: entrance channel, risk modeling, ship grounding, simulation

N. M. Quy; J. K. Vrijling; P. H. A. J. M Gelder; R. Groenveld

2007-10-01T23:59:59.000Z

106

Stochastic optimization of a biologically plausible spino-neuromuscular system model  

Science Conference Proceedings (OSTI)

Simulations and modeling techniques are becoming increasingly important in understanding the behavior of biological systems. Detailed models help researchers answer questions in diverse areas such as the behavior of bacteria and viruses and aiding in ... Keywords: Biological neural networks, Breeding swarm optimizers, Genetic algorithms, Particle swarm optimizers

Stanley Gotshall; Kathy Browder; Jessica Sampson; Terence Soule; Richard Wells

2007-12-01T23:59:59.000Z

107

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

Science Conference Proceedings (OSTI)

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

Yu. M. Tsodikov; Ya. Yu. Tsodikova

2001-04-01T23:59:59.000Z

108

Optimal foreign borrowing in a multisector dynamic equilibrium model for Brazil  

E-Print Network (OSTI)

This paper shows how a dynamic multisector equilibrium model can be formulated to be able to analyze the optimal borrowing policy of a developing country. It also describes how a non-linear programming model with the ...

Tourinho, Octv?io A. F.

1985-01-01T23:59:59.000Z

109

Kinetic modeling and automated optimization in microreactor systems  

E-Print Network (OSTI)

The optimization, kinetic investigation, or scale-up of a reaction often requires significant time and materials. Silicon microreactor systems have been shown advantageous for studying chemical reactions due to their small ...

Moore, Jason Stuart

2013-01-01T23:59:59.000Z

110

Modeling and Optimization for Transportation Systems Planning and Operations  

E-Print Network (OSTI)

In this paper, we focus on a number of applications of network optimization techniques to transportation systems analysis. In particular, network analysis problems, network design problems, and network management problems ...

Gartner, Nathan H.

111

Origins of Model–Data Discrepancies in Optimal Fingerprinting  

Science Conference Proceedings (OSTI)

Two approaches to distinguishing anthropogenic greenhouse gas and sulfate aerosol signals in the observed surface temperature record are compared. Both rely on a variant of general regression called “optimal fingerprinting.” One approach is ...

Gabriele C. Hegerl; Myles R. Allen

2002-06-01T23:59:59.000Z

112

Thermodynamic modeling and optimization of a screw compressor chiller and cooling tower system  

E-Print Network (OSTI)

This thesis presents a thermodynamic model for a screw chiller and cooling tower system for the purpose of developing an optimized control algorithm for the chiller plant. The thermodynamic chiller model is drawn from the thermodynamic models developed by Gordon and Ng (1996). However, the entropy production in the compressor is empirically related to the pressure difference measured across the compressor. The thermodynamic cooling tower model is the Baker & Shryock cooling tower model that is presented in ASHRAE Handbook - HVAC Systems and Equipment (1992). The models are coupled to form a chiller plant model which can be used to determine the optimal performance. Two correlations are then required to optimize the system: a wet-bulb/setpoint correlation and a fan speed/pump speed correlation. Using these correlations, a "quasi-optimal" operation can be achieved which will save 17% of the energy consumed by the chiller plant.

Graves, Rhett David

2003-12-01T23:59:59.000Z

113

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

114

A Hypergraph Framework for Optimal Model-Based Decomposition ofDesign Problems  

Science Conference Proceedings (OSTI)

Decomposition of large engineering system models is desirable since increased model size reduces reliability and speed of numerical solution algorithms. The article presents a methodology for optimal model-based decomposition (OMBD) of design problems, ... Keywords: decomposition, hypergraph partitioning, large-scale design, model decomposition, multidisciplinary design

Nestor F. Michelena; Panos Y. Papalambros

1997-09-01T23:59:59.000Z

115

Hybrid search algorithm to optimize scheduling problems for TCPN models  

Science Conference Proceedings (OSTI)

Scheduling of manufacturing or logistic processes takes high importance as a key factor to improve competitiveness in industrial systems. The state space analysis of Timed Coloured Petri Nets is an accepted simulation-optimization approach which suffers ... Keywords: decision support systems, discrete event systems, scheduling, state space, timed coloured Petri nets

Miguel Mujica; Miquel Angel Piera

2010-07-01T23:59:59.000Z

116

Modeling and optimization of stencil printing operations: A comparison study  

Science Conference Proceedings (OSTI)

This paper presents a comparison study for the optimization of stencil printing operations using hybrid intelligence technique and response surface methodology (RSM). An average 60% of soldering defects are attributed to solder paste stencil printing ... Keywords: DPMO, Fuzzy quality loss function, Genetic algorithms, Neural network, Printed circuit board, Stencil printing, Surface mount technology

Tsung-Nan Tsai

2008-04-01T23:59:59.000Z

117

Buffer memory optimization for video codec application modeled in Simulink  

Science Conference Proceedings (OSTI)

Reduction of the on-chip memory size is a key issue in video codec system design. Because video codec applications involve complex algorithms that are both data-intensive and control-dependent, memory optimization based on global and precise analysis ... Keywords: Simulink, memory size reduction, video codec application

Sang-Il Han; Xavier Guerin; Soo-Ik Chae; Ahmed A. Jerraya

2006-07-01T23:59:59.000Z

118

A novel decomposition and distributed computing approach for the solution of large scale optimization models  

Science Conference Proceedings (OSTI)

Abstract: Biomass feedstock production is an important component of the biomass based energy sector. Seasonal and distributed collection of low energy density material creates unique challenges, and optimization of the complete value chain is critical ... Keywords: Agent-based modeling, Biomass feedstock, Computation, Decomposition, Optimization

Yogendra Shastri; Alan Hansen; Luis Rodríguez; K. C. Ting

2011-03-01T23:59:59.000Z

119

CFD optimization for GDI spray model tuning and enhancement of engine performance  

Science Conference Proceedings (OSTI)

Coupling a 3D Computational Fluid Dynamics (CFD) tool with a rigorous method of decision making is becoming indispensable in the design process of complex systems, as internal combustion engines. CFD based optimization (CFD-O) is here carried out on ... Keywords: CFD based optimization, Charge stratification, Gasoline direct injection, Multidimensional modelling, Spark ignition engines, Split injection

M. Costa; U. Sorge; L. Allocca

2012-07-01T23:59:59.000Z

120

The New Optimal Model and Realizing of Automatic Rubber Ball Cleaning System for Condenser  

Science Conference Proceedings (OSTI)

An optimal model of rubber ball cleaning system for condenser is proposed in this paper. Based on on-line measurement of fouling resistance, the fouling growth time (set as cleaning time interval in this paper) is fixed and the best running time of rubber ... Keywords: fouling resistance, optimal mode, rubber ball cleaning system for condenser, system realizing

Gong Wang; Yi Xia

2011-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

MathematicalGeology, Vol. 11,No. I,1979 Modeling and Optimizing a Gas-Water Reservoir  

E-Print Network (OSTI)

Recovery with waterflooding'*- Mark E.Johnson,2EllisA. Mona&: and Michael S. Watermad Accepted practice the optimal production strategy. Essentially, this strategy is to refrain from waterflooding until the minimum strategy to be optimal. THE GAS-WATERFLOOD RESERVOIR MODEL The mathematical details of the gas-waterflood

Waterman, Michael S.

122

Exploring the Modeling Capacity of Two-stage Robust Optimization  

E-Print Network (OSTI)

Jun 13, 2013 ... Numerical experiments on those models are performed using a practical data set, which illustrate their modeling strength, economic outcomes ...

123

Using Evolution Strategy with Meta-models for Well Placement Optimization  

E-Print Network (OSTI)

Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in well productivity, well placement decision is an important issue in field development. Considering complex reservoir geology and high reservoir heterogeneities, stochastic optimization methods are the most suitable approaches for optimum well placement. This paper proposes an optimization methodology to determine optimal well location and trajectory based upon the Covariance Matrix Adaptation - Evolution Strategy (CMA-ES) which is a variant of Evolution Strategies recognized as one of the most powerful derivative-free optimizers for continuous optimization. To improve the optimization procedure, two new techniques are investigated: (1). Adaptive penalization with rejection is developed to handle well placement constraints. (2). A meta-model, based on locally weighted regression, is incorporated into CMA-ES using an approximate ranking ...

Bouzarkouna, Zyed; Auger, Anne

2010-01-01T23:59:59.000Z

124

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

125

Optimal numerical realization of the energy balance equation for wind wave models  

Science Conference Proceedings (OSTI)

The optimal numerical realization of the energy balance equation in wind wave models is proposed. The scheme is separated into two parts: the numerical source term integration and the energy propagation numerical realization. The first one is based on ...

Igor V. Lavrenov

2003-06-01T23:59:59.000Z

126

Application of computational intelligence in modeling and optimization of HVAC systems.  

E-Print Network (OSTI)

?? HVAC (Heating Ventilating and Air-Conditioning) system is multivariate, nonlinear, and shares time-varying characteristics. It poses challenges for both system modeling and performance optimization. Traditional… (more)

Li, Mingyang

2009-01-01T23:59:59.000Z

127

The Application of an Evolutionary Algorithm to the Optimization of a Mesoscale Meteorological Model  

Science Conference Proceedings (OSTI)

It is shown that a simple evolutionary algorithm can optimize a set of mesoscale atmospheric model parameters with respect to agreement between the mesoscale simulation and a limited set of synthetic observations. This is illustrated using the ...

Lance O’Steen; David Werth

2009-02-01T23:59:59.000Z

128

Design optimization and analysis of coated particle fuel using advanced fuel performance modeling techniques  

E-Print Network (OSTI)

Modifying material properties provides another approach to optimize coated particle fuel used in pebble bed reactors. In this study, the MIT fuel performance model (TIMCOAT) was applied after benchmarking against the ...

Soontrapa, Chaiyod

2005-01-01T23:59:59.000Z

129

Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain  

E-Print Network (OSTI)

We develop results for the use of LASSO and Post-LASSO methods to form first-stage predictions and estimate optimal instruments in linear instrumental variables (IV) models with many instruments, p, that apply even when p ...

Belloni, Alexandre

2011-07-12T23:59:59.000Z

130

Modeling, Optimization and Economic Evaluation of Residual Biomass Gasification  

E-Print Network (OSTI)

Gasification is a thermo-chemical process which transforms biomass into valuable synthesis gas. Integrated with a biorefinery it can address the facility’s residue handling challenges and input demands. A number of feedstock, technology, oxidizer and product options are available for gasification along with combinations thereof. The objective of this work is to create a systematic method for optimizing the design of a residual biomass gasification unit. In detail, this work involves development of an optimization superstructure, creation of a biorefining scenario, process simulation, equipment sizing & costing, economic evaluation and optimization. The superstructure accommodates different feedstocks, reactor technologies, syngas cleaning options and final processing options. The criterion for optimization is annual worth. A biorefining scenario for the production of renewable diesel fuel from seed oil is developed; gasification receives the residues from this biorefinery. Availability of Soybeans, Jatropha, Chinese Tallow and woody biomass material is set by land use within a 50-mile radius. Four reactor technologies are considered, based on oxidizer type and operating pressure, along with three syngas cleaning methods and five processing options. Results show that residual gasification is profitable for large-scale biorefineries with the proper configuration. Low-pressure air gasification with filters, water-gas shift and hydrogen separation is the most advantageous combination of technology and product with an annual worth of $9.1 MM and a return on investment of 10.7 percent. Low-pressure air gasification with filters and methanol synthesis is the second most advantageous combination with an annual worth of $9.0 MM. Gasification is more economic for residue processing than combustion or disposal, and it competes well with natural gas-based methanol synthesis. However, it is less economic than steam-methane reforming of natural gas to hydrogen. Carbon dioxide credits contribute to profitability, affecting some configurations more than others. A carbon dioxide credit of $33/t makes the process competitive with conventional oil and gas development. Sensitivity analysis demonstrates a 10 percent change in hydrogen or electricity price results in a change to the optimal configuration of the unit. Accurate assessment of future commodity prices is critical to maximizing profitability.

Georgeson, Adam

2010-12-01T23:59:59.000Z

131

Modeling of EOG and electrode position optimization for human-computer interface  

Science Conference Proceedings (OSTI)

The aim of this work was to model electro-oculogram (EOG) to find optimal electrode positions for wearable human-computer interface system. The system is a head cap developed in our institute and with it we can measure EOG and facial electromyography ... Keywords: EOG, electrode positions, modeling, volume conductor model

Niina Nöjd; Jari Hyttinen

2008-03-01T23:59:59.000Z

132

Quantification, Optimization and Uncertainty Modeling in Information Security Risks: A Matrix-Based Approach  

Science Conference Proceedings (OSTI)

In this paper, the authors present a quantitative model for estimating security risk exposure for a firm. The model includes a formulation for the optimization of controls as well as determining sensitivity of the exposure of assets to different threats. ... Keywords: Cost Benefit Analysis, Data Simulation, Decision Models, IS Risk Management, Investment Justification, Security Management, Security Risk

Sanjay Goel; Eitel J.M. Lauría

2010-04-01T23:59:59.000Z

133

Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm  

Science Conference Proceedings (OSTI)

The use of inverse system model as a controller might be an efficient way in controlling non-linear systems. It is also a known fact that fuzzy logic modeling is a powerful tool in representing nonlinear systems. Therefore, inverse fuzzy model can be ... Keywords: Big Bang-Big Crunch optimization, Fuzzy logic controller, Fuzzy model inversion, Heat transfer process, Inverse model based control, pH process

Tufan Kumbasar; Ibrahim Eksin; Mujde Guzelkaya; Engin Yesil

2011-09-01T23:59:59.000Z

134

An Optimization Model for Plug-In Hybrid Electric Vehicles  

DOE Green Energy (OSTI)

The necessity for environmentally conscious vehicle designs in conjunction with increasing concerns regarding U.S. dependency on foreign oil and climate change have induced significant investment towards enhancing the propulsion portfolio with new technologies. More recently, plug-in hybrid electric vehicles (PHEVs) have held great intuitive appeal and have attracted considerable attention. PHEVs have the potential to reduce petroleum consumption and greenhouse gas (GHG) emissions in the commercial transportation sector. They are especially appealing in situations where daily commuting is within a small amount of miles with excessive stop-and-go driving. The research effort outlined in this paper aims to investigate the implications of motor/generator and battery size on fuel economy and GHG emissions in a medium-duty PHEV. An optimization framework is developed and applied to two different parallel powertrain configurations, e.g., pre-transmission and post-transmission, to derive the optimal design with respect to motor/generator and battery size. A comparison between the conventional and PHEV configurations with equivalent size and performance under the same driving conditions is conducted, thus allowing an assessment of the fuel economy and GHG emissions potential improvement. The post-transmission parallel configuration yields higher fuel economy and less GHG emissions compared to pre-transmission configuration partly attributable to the enhanced regenerative braking efficiency.

Malikopoulos, Andreas [ORNL; Smith, David E [ORNL

2011-01-01T23:59:59.000Z

135

Assessing FPAR Source and Parameter Optimization Scheme in Application of a Diagnostic Carbon Flux Model  

Science Conference Proceedings (OSTI)

The combination of satellite remote sensing and carbon cycle models provides an opportunity for regional to global scale monitoring of terrestrial gross primary production, ecosystem respiration, and net ecosystem production. FPAR (the fraction of photosynthetically active radiation absorbed by the plant canopy) is a critical input to diagnostic models, however little is known about the relative effectiveness of FPAR products from different satellite sensors nor about the sensitivity of flux estimates to different parameterization approaches. In this study, we used multiyear observations of carbon flux at four eddy covariance flux tower sites within the conifer biome to evaluate these factors. FPAR products from the MODIS and SeaWiFS sensors, and the effects of single site vs. cross-site parameter optimization were tested with the CFLUX model. The SeaWiFs FPAR product showed greater dynamic range across sites and resulted in slightly reduced flux estimation errors relative to the MODIS product when using cross-site optimization. With site-specific parameter optimization, the flux model was effective in capturing seasonal and interannual variation in the carbon fluxes at these sites. The cross-site prediction errors were lower when using parameters from a cross-site optimization compared to parameter sets from optimization at single sites. These results support the practice of multisite optimization within a biome for parameterization of diagnostic carbon flux models.

Turner, D P; Ritts, W D; Wharton, S; Thomas, C; Monson, R; Black, T A

2009-02-26T23:59:59.000Z

136

Optimization Online - A stochastic multiscale model for electricity ...  

E-Print Network (OSTI)

May 30, 2011 ... A stochastic multiscale model for electricity generation capacity expansion. Panos Parpas(pparpas ***at*** mit.edu) Mort Webster(mort ***at*** ...

137

Two-stage Models and Algorithms for Optimizing Infrastructure ...  

E-Print Network (OSTI)

Jun 20, 2012 ... Abstract: This paper models an infrastructure as a network with sets of supply, transshipment, and demand nodes. A subset of potential arcs ...

138

Optimization and Modeling of an Emulsion Polymerization Reactor.  

E-Print Network (OSTI)

??A mathematical model was developed to simulate emulsion polymerization in batch, semi-batch and continuous reactors for monomers with high water solubility and significant desorption such… (more)

Ghadi, Narges

2004-01-01T23:59:59.000Z

139

Optimization Online - An Inventory-Location Model: Formulation ...  

E-Print Network (OSTI)

Jun 5, 2001 ... Abstract: We introduce a new distribution center (DC) location model that incorporates working inventory and safety stock inventory costs at the ...

140

Posterior Sampling using Particle Swarm Optimizers and Model Reduction Techniques  

Science Conference Proceedings (OSTI)

Inverse problems are ill-posed and posterior sampling is a way of providing an estimate of the uncertainty based on a finite set of the family of models that fit the observed data within the same tolerance. Monte Carlo methods are used for this purpose ... Keywords: High Dimensional Spaces, Inverse Problems, Model Reduction Techniques, Particle Swarm, Posterior Sampling

J. L. Fernández Martínez; E. García Gonzalo; Z. Fernández Muñiz; G. Mariethoz; T. Mukerji

2010-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

Integrated: Geospatial Toolkit GIS data for Oaxaca from NREL | OpenEI  

Open Energy Info (EERE)

Oaxaca from NREL Oaxaca from NREL Dataset Summary Description The Geospatial Toolkit (GsT) is a map viewer developed by the National Renewable Energy Laboratory (NREL). The toolkit helps energy planners, project developers, researchers and others identify areas of a country that show good potential for renewable energy projects. The toolkit displays renewable energy data along with information about the geography, location of population centers, borders, and transportation and power infrastructure. The toolkit is integrated with HOMER, a power system simulation and optimization model, originally developed at NREL and currently owned by HOMER Energy LLC. HOMER integration with the toolkit makes it possible to automatically populate HOMER inputs using weather data from the toolkit to help you get started with your HOMER analysis. The toolkit also displays preliminary HOMER results that you can see without running the model.

142

Integrated: Geospatial Toolkit GIS data for Bhutan from NREL | OpenEI  

Open Energy Info (EERE)

Bhutan from NREL Bhutan from NREL Dataset Summary Description The Geospatial Toolkit (GsT) is a map viewer developed by the National Renewable Energy Laboratory (NREL). The toolkit helps energy planners, project developers, researchers and others identify areas of a country that show good potential for renewable energy projects. The toolkit displays renewable energy data along with information about the geography, location of population centers, borders, and transportation and power infrastructure. The toolkit is integrated with HOMER, a power system simulation and optimization model, originally developed at NREL and currently owned by HOMER Energy LLC. HOMER integration with the toolkit makes it possible to automatically populate HOMER inputs using weather data from the toolkit to help you get started with your HOMER analysis. The toolkit also displays preliminary HOMER results that you can see without running the model.

143

Integrated: Geospatial Toolkit GIS data for India from NREL | OpenEI  

Open Energy Info (EERE)

India from NREL India from NREL Dataset Summary Description The Geospatial Toolkit (GsT) is a map viewer developed by the National Renewable Energy Laboratory (NREL). The toolkit helps energy planners, project developers, researchers and others identify areas of a country that show good potential for renewable energy projects. The toolkit displays renewable energy data along with information about the geography, location of population centers, borders, and transportation and power infrastructure. The toolkit is integrated with HOMER, a power system simulation and optimization model, originally developed at NREL and currently owned by HOMER Energy LLC. HOMER integration with the toolkit makes it possible to automatically populate HOMER inputs using weather data from the toolkit to help you get started with your HOMER analysis. The toolkit also displays preliminary HOMER results that you can see without running the model.

144

Optimal state estimation for improved power measurements and model verification: Theory  

Science Conference Proceedings (OSTI)

To improve energy efficiency in computer systems and data centers, accurate models of the power consumption are needed for analysis and advanced control algorithms. Developing models requires deep understanding not only of the components themselves but ... Keywords: system level model analysis, energy efficiency, optimal state estimation, improved power measurement, computer systems, data centers, power consumption, mathematical methods, sensor fusion, data center powering structure, cooling system, parameter identifying estimator, model parameter

T. Malkamaki; S. J. Ovaska

2011-07-01T23:59:59.000Z

145

A Modeling and Optimization Approach for Multiple Energy Carrier Power Flow  

E-Print Network (OSTI)

Abstract — This paper presents a general power flow and optimization approach for power systems including multiple energy carriers, such as electricity, natural gas, and district heat. The model is based on a conceptual approach for the inclusion of distributed resources. Couplings between the different energy carriers are regarded explicitly, enabling investigations in power flow and marginal price interactions. Optimal demand, conversion, and transmission of multiple energy carriers within a system is formulated as a combined optimal power flow problem. A numerical example demonstrates how the method can be used for different system studies. I.

Martin Geidl; Göran Andersson

2005-01-01T23:59:59.000Z

146

Interconnect modeling and optimization in deep sub-micron technologies  

E-Print Network (OSTI)

Interconnect will be a major bottleneck for deep sub-micron technologies in the years to come. This dissertation addresses the communication aspect from a power consumption and transmission speed perspective. A model for ...

Sotiriadis, Paul Peter P. (Paul Peter Peter-Paul), 1973-

2002-01-01T23:59:59.000Z

147

Optimally Merging Precipitation to Minimize Land Surface Modeling Errors  

Science Conference Proceedings (OSTI)

This paper introduces a new method to improve land surface model skill by merging different available precipitation datasets, given that an accurate land surface parameter ground truth is available. Precipitation datasets are merged with the ...

M. Tugrul Yilmaz; Paul Houser; Roshan Shrestha; Valentine G. Anantharaj

2010-03-01T23:59:59.000Z

148

A novel combination of Particle Swarm Optimization and Genetic Algorithm for Pareto optimal design of a five-degree of freedom vehicle vibration model  

Science Conference Proceedings (OSTI)

In this paper, at first, a novel combination of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is introduced. This hybrid algorithm uses the operators such as mutation, traditional or classical crossover, multiple-crossover, and PSO formula. ... Keywords: Genetic Algorithm, Hybrid algorithms, Multi-objective problems, Particle Swarm Optimization, Single-objective problems, Vehicle vibration model

M. J. Mahmoodabadi; A. Adljooy Safaie; A. Bagheri; N. Nariman-Zadeh

2013-05-01T23:59:59.000Z

149

A watershed-scale design optimization model for stormwater best management practices  

Science Conference Proceedings (OSTI)

U.S. Environmental Protection Agency developed a decision-support system, System for Urban Stormwater Treatment and Analysis Integration (SUSTAIN), to evaluate alternative plans for stormwater quality management and flow abatement techniques in urban ... Keywords: BMP modeling, Best management practices (BMPs), Cost-effectiveness, Decision-support system, Design optimization model, Green infrastructure (GI), Low impact development (LID), Stormwater management

Joong Gwang Lee; Ariamalar Selvakumar; Khalid Alvi; John Riverson; Jenny X. Zhen; Leslie Shoemaker; Fu-Hsiung Lai

2012-11-01T23:59:59.000Z

150

Modeling and Parameter Optimization for an Articulating Electro Hydraulic Forest Machinery  

Science Conference Proceedings (OSTI)

This paper focuses on modeling and parameter estimation for the electro hydraulic actuation system of an articulated forestry machine. The linear graph method is implemented in deriving mathematical models of the swing, boom and stick subsystems. Actuation ... Keywords: Forest Machinery, Articulating Electro Hydraulic, Parameter Optimization

Wei-Zhan Guo; Liu-Jin Hao; Yu Ying; Wu-Jia Di

2010-01-01T23:59:59.000Z

151

A dynamic model for optimally phasing in CO2 capture and storage infrastructure  

Science Conference Proceedings (OSTI)

CO"2 capture and storage (CCS) is a climate-change mitigation strategy that requires an investment of many billions of dollars and tens of thousands of miles of dedicated CO"2 pipelines. To be effective, scientists, stakeholders, and policy makers will ... Keywords: CO2 capture and storage, Climate-change policy, Infrastructure modeling, Pipeline modeling, SimCCS, Spatiotemporal optimization

Richard S. Middleton; Michael J. Kuby; Ran Wei; Gordon N. Keating; Rajesh J. Pawar

2012-11-01T23:59:59.000Z

152

Deterministic regression model and visual basic code for optimal forecasting of financial time series  

Science Conference Proceedings (OSTI)

A new, non-statistical method is presented for analysis of the past history and current evolution of economic and financial processes. The method is based on the sliding model approach using linear differential or difference equations applied to discrete ... Keywords: Optimal forecasting in finance, Sliding deterministic regression models

Alejandro Balbás; Beatriz Balbás; Inna Galperin; Efim Galperin

2008-11-01T23:59:59.000Z

153

Developing a computationally efficient dynamic multilevel hybrid optimization scheme using multifidelity model interactions.  

SciTech Connect

Many engineering application problems use optimization algorithms in conjunction with numerical simulators to search for solutions. The formulation of relevant objective functions and constraints dictate possible optimization algorithms. Often, a gradient based approach is not possible since objective functions and constraints can be nonlinear, nonconvex, non-differentiable, or even discontinuous and the simulations involved can be computationally expensive. Moreover, computational efficiency and accuracy are desirable and also influence the choice of solution method. With the advent and increasing availability of massively parallel computers, computational speed has increased tremendously. Unfortunately, the numerical and model complexities of many problems still demand significant computational resources. Moreover, in optimization, these expenses can be a limiting factor since obtaining solutions often requires the completion of numerous computationally intensive simulations. Therefore, we propose a multifidelity optimization algorithm (MFO) designed to improve the computational efficiency of an optimization method for a wide range of applications. In developing the MFO algorithm, we take advantage of the interactions between multi fidelity models to develop a dynamic and computational time saving optimization algorithm. First, a direct search method is applied to the high fidelity model over a reduced design space. In conjunction with this search, a specialized oracle is employed to map the design space of this high fidelity model to that of a computationally cheaper low fidelity model using space mapping techniques. Then, in the low fidelity space, an optimum is obtained using gradient or non-gradient based optimization, and it is mapped back to the high fidelity space. In this paper, we describe the theory and implementation details of our MFO algorithm. We also demonstrate our MFO method on some example problems and on two applications: earth penetrators and groundwater remediation.

Hough, Patricia Diane (Sandia National Laboratories, Livermore, CA); Gray, Genetha Anne (Sandia National Laboratories, Livermore, CA); Castro, Joseph Pete Jr. (; .); Giunta, Anthony Andrew

2006-01-01T23:59:59.000Z

154

Stochastic Optimization Models for Rapid Detection of Viruses in Cellphone Networks  

E-Print Network (OSTI)

We develop a class of models to represent the dynamics of a virus spreading in a cellphone network, employing a taxonomy that includes five key characteristics. Based on the resulting dynamics governing the spread, we present optimization models to rapidly detect the virus, subject to resource limitations. We consider two goals, maximizing the probability of detecting a virus by a time threshold and minimizing the expected time to detection, which can be applied to all spread models we consider. We establish a submodularity result for these two objective functions that ensures that a greedy algorithm yields a well-known constant-factor (63%) approximation. We relate the latter optimization problem, under a specific virus-spread mechanism from our class of models, to a classic facility-location model. And, for the former objective function, we provide a sample-path optimization model that yields an asymptotically-optimal design for locating the detection devices, as the number of samples grows large. Finally, using call data from a large carrier, we estimate the degree distribution in a contact network, which is central to building random networks to study our models and solution methods. 1

Jinho Lee; John J. Hasenbein; David P. Morton

2011-01-01T23:59:59.000Z

155

Optimization of a Two-Fluid Hydrodynamic Model of Churn-Turbulent Flow  

DOE Green Energy (OSTI)

A hydrodynamic model of two-phase, churn-turbulent flows is being developed using the computational multiphase fluid dynamics (CMFD) code, NPHASE-CMFD. The numerical solutions obtained by this model are compared with experimental data obtained at the TOPFLOW facility of the Institute of Safety Research at the Forschungszentrum Dresden-Rossendorf. The TOPFLOW data is a high quality experimental database of upward, co-current air-water flows in a vertical pipe suitable for validation of computational fluid dynamics (CFD) codes. A five-field CMFD model was developed for the continuous liquid phase and four bubble size groups using mechanistic closure models for the ensemble-averaged Navier-Stokes equations. Mechanistic models for the drag and non-drag interfacial forces are implemented to include the governing physics to describe the hydrodynamic forces controlling the gas distribution. The closure models provide the functional form of the interfacial forces, with user defined coefficients to adjust the force magnitude. An optimization strategy was devised for these coefficients using commercial design optimization software. This paper demonstrates an approach to optimizing CMFD model parameters using a design optimization approach. Computed radial void fraction profiles predicted by the NPHASE-CMFD code are compared to experimental data for four bubble size groups.

Donna Post Guillen

2009-07-01T23:59:59.000Z

156

Emissions and Energy: An Integral Approach Using an Online Energy Management and Optimization Model  

E-Print Network (OSTI)

With the expected legislation on the horizon in the U.S., the cost of CO2 emissions will have significant impact on industrial plant operations in the near future. Our purpose in this presentation is to show real industrial examples in which, with the existing equipment, continuous CO2 emissions reductions were achieved while, at the same time, optimizing the energy systems using an online model. We will show the importance of including the cost of CO2 emissions and how they should properly be taken into account when managing energy systems. Furthermore, we will illustrate how an optimization model is used for evaluating case studies to suggest the most cost effective energy system modifications while taking into account CO2 emissions costs. Several examples and results corresponding to the application of such systems to refineries will be discussed. In addition, the integration of CO2 emission costs and constraints into the online energy system models and their optimization is also explained.

Ruiz, D.; Ruiz, C.; Santollani, O.; Reitmeier, T.

2010-01-01T23:59:59.000Z

157

HEURISTIC APPROACH FOR OPTIMAL PARAMETER ESTIMATION OF ELECTRIC LOAD FORECAST MODEL  

Science Conference Proceedings (OSTI)

Load forecasting is a crucial aspect of electric power system planning and operation. This paper presents a heuristic approach for optimal parameter estimation of long term load forecast models. The problem is viewed as an optimization one in which the goal is to minimize the total estimation error by properly adjusting the model coefficients. A particle swarm optimization algorithm is developed to minimize the error associated with the estimated model parameters. Real data of Egyptian network is used to perform this study. Results are reported and compared to those obtained using the well known least error squares estimation technique. Comparison results are in favor of the proposed approach which signifies its potential as a promising estimation tool.

M. R. AlRashidi; K. M. EL?Naggar

2009-01-01T23:59:59.000Z

158

Modeling NOx emissions from coal-fired utility boilers using support vector regression with ant colony optimization  

Science Conference Proceedings (OSTI)

Modeling NO"x emissions from coal fired utility boiler is critical to develop a predictive emissions monitoring system (PEMS) and to implement combustion optimization software package for low NO"x combustion. This paper presents an efficient NO"x emissions ... Keywords: Ant colony optimization, Artificial neural networks, Combustion modeling, NOx emissions modeling, Support vector regression

Hao Zhou; Jia Pei Zhao; Li Gang Zheng; Chun Lin Wang; Ke Fa Cen

2012-02-01T23:59:59.000Z

159

A partitioner-centric model for SAMR partitioning trade-off optimization : Part II.  

SciTech Connect

Optimal partitioning of structured adaptive mesh applications necessitates dynamically determining and optimizing for the most time-inhibiting factor, such as data migration and communication volume. However, a trivial monitoring of an application evaluates the current partitioning rather than the inherent properties of the grid hierarchy. We present a model that given a structured adaptive grid, determines ab initio to what extent the partitioner should focus on reducing the amount of data migration to reduce execution time. This model contributes to the meta-partitioner, our ultimate aim of being able to select and configure the optimal partitioner based on the dynamic properties of the grid hierarchy and the computer. We validate the predictions of this model by comparing them with actual measurements (via traces) from four different adaptive simulations. The results show that the proposed model generally captures the inherent optimization-need in SAMR applications. We conclude that our model is a useful contribution, since tracking and adapting to the dynamic behavior of such applications lead to potentially large decreases in execution times.

Steensland, Johan; Ray, Jaideep

2004-03-01T23:59:59.000Z

160

Multidisciplinary Modeling, Control, and Optimization of a Solid Oxide Fuel Cell/Gas Turbine Hybrid Power System.  

E-Print Network (OSTI)

??This thesis describes a systematical study, including multidisciplinary modeling, simulation, control, and optimization, of a fuel cell - gas turbine hybrid power system that aims… (more)

Abbassi Baharanchi, Atid

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

doi:10.1155/2012/769702 Review Article Modeling of Biological Intelligence for SCM System Optimization  

E-Print Network (OSTI)

License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This article summarizes some methods from biological intelligence for modeling and optimization of supply chain management (SCM) systems, including genetic algorithms, evolutionary programming, differential evolution, swarm intelligence, artificial immune, and other biological intelligence related methods. An SCM system is adaptive, dynamic, open self-organizing, which is maintained by flows of information, materials, goods, funds, and energy. Traditional methods for modeling and optimizing complex SCM systems require huge amounts of computing resources, and biological intelligence-based solutions can often provide valuable alternatives for efficiently solving problems. The paper summarizes the recent related methods for the design and optimization of SCM systems, which covers the most widely used genetic algorithms and other evolutionary algorithms. 1.

Shengyong Chen; Yujun Zheng; Carlo Cattani; Wanliang Wang

2011-01-01T23:59:59.000Z

162

Reliability-yield allocation for semiconductor integrated circuits: modeling and optimization  

E-Print Network (OSTI)

This research develops yield and reliability models for fault-tolerant semiconductor integrated circuits and develops optimization algorithms that can be directly applied to these models. Since defects cause failures in microelectronics systems, accurate yield and reliability models considering these defects as well as optimization techniques determining efficient defect-tolerant schemes are essential in semiconductor manufacturing and nanomanufacturing to ensure manufacturability and productivity. The defect-based yield model considers various types of failures, fault-tolerant schemes such as hierarchical redundancy and error correcting code, and burn-in effects, simultaneously. The reliability model counts on carry-over single-cell failures accompanied by the failure rate of the semiconductor integrated circuits under the assumption of an error correcting code policy. The redundancy allocation problem, which seeks to ?nd an optimal allocation of redundancy that maximizes system reliability, is one of the representative problems in reliability optimization. The problem is typically formulated as a nonconvex integer nonlinear programming problem that is nonseparable and coherent. Two iterative heuristics, tree and scanning heuristics, and variants are studied to obtain local optima and a branch-and-bound algorithm is proposed to ?nd the global optimum for redundancy allocation problems. The proposed algorithms engage a multiple-search paths strategy to accelerate efficiency. Experimental results of these algorithms indicate that they are superior to the existing algorithms in terms of computation time and solution quality. An example of memory semiconductor integrated circuits is presented to show the applicability of both the yield and reliability models and the optimization algorithms to fault-tolerant semiconductor integrated circuits.

Ha, Chunghun

2004-08-01T23:59:59.000Z

163

An extremal optimization search method for the protein folding problem: the go-model example  

Science Conference Proceedings (OSTI)

The protein folding problem consists of predicting the functional (native)structure of the protein given its linear sequence of amino acids. Despite extensive progress made in understanding the process of protein folding, this problem still remains ... Keywords: extremal optimization, go-model, protein folding

Alena Shmygelska

2007-07-01T23:59:59.000Z

164

Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles  

E-Print Network (OSTI)

of emissions to global climate change. Although electric cars and buses have been the focus of much of electricModelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles by Matthew Blair Supervisors: Dr. Zuomin Dong ABSTRACT Electric vehicles, as an emerging transportation platform, have been

Victoria, University of

165

Modeling of Optimal Oil Production and Comparing with Actual and Contractual Oil Production: Iran Case  

E-Print Network (OSTI)

Modeling of Optimal Oil Production and Comparing with Actual and Contractual Oil Production: Iran, Davis Introduction · The Iran Oil Project, initiated in 2007, aims to find the inefficiencies and their possible sources in Iranian oil and gas policies. Background Information Assumptions · Perfect Competition

California at Davis, University of

166

Optimization of scale and parametrization for terrain segmentation: An application to soil-landscape modeling  

Science Conference Proceedings (OSTI)

This paper presents a procedure to optimize parametrization and scale for terrain-based environmental modeling. The workflow was exemplified on crop yield data, which is assumed to represent a proxy for soil productivity. Focal mean statistics were used ... Keywords: Curvature, Focal mean statistics, OBIA, Regression, Soil productivity., Terrain segmentation

Lucian Drgu; Thomas Schauppenlehner; Andreas Muhar; Josef Strobl; Thomas Blaschke

2009-09-01T23:59:59.000Z

167

Modeling and optimizing maintenance schedule for energy systems subject to degradation  

Science Conference Proceedings (OSTI)

In recent years, with the increasing investment on distributed energy system (DES), maintenance management has played an important role in improving the system performance. This paper aims to integrate the conception of the multiple attribute value theory ... Keywords: Distributed energy system, Imperfect maintenance, Multi-attribute model, Optimal schedule, Sequential preventive maintenance

Tangbin Xia; Lifeng Xi; Xiaojun Zhou; Shichang Du

2012-11-01T23:59:59.000Z

168

Nonlinear controller optimization of a power system based on reduced multivariate polynomial model  

Science Conference Proceedings (OSTI)

This paper describes the design of a nonlinear controller in a power system by using the reduced multivariate polynomial (RMP) optimization algorithm with the one-shot training property. The RMP model is applied to estimate its Hessian matrix in addition ...

Seung-Mook Baek; Jung-Wook Park

2009-06-01T23:59:59.000Z

169

Models, Calculation and Optimization of Gas Networks, Equipment and Contracts for Design, Operation, Booking and Accounting  

E-Print Network (OSTI)

There are proposed models of contracts, technological equipment and gas networks and methods of their optimization. The flow in network undergoes restrictions of contracts and equipment to be operated. The values of sources and sinks are provided by contracts. The contract models represent (sub-) networks. The simplest contracts represent either nodes or edges. Equipment is modeled by edges. More sophisticated equipment is represented by sub-networks. Examples of such equipment are multi-poles and compressor stations with many entries and exits. The edges can be of different types corresponding to equipment and contracts. On such edges, there are given systems of equation and inequalities simulating the contracts and equipment. On this base, the methods proposed that allow: calculation and control of contract values for booking on future days and for accounting of sales and purchases; simulation and optimization of design and of operation of gas networks. These models and methods are realized in software syst...

Ostromuhov, Leonid A

2011-01-01T23:59:59.000Z

170

OPTCON: an algorithm for the optimal control of nonlinear stochastic models  

Science Conference Proceedings (OSTI)

Keywords: control algorithm, dynamic systems, nonlinear systems, optimal control, optimal economic policies, stochastic control

Josef Matulka; Reinhard Neck

1992-01-01T23:59:59.000Z

171

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

E-Print Network (OSTI)

Portfolios of contemporary integrated petroleum companies consist of a few dozen Exploration and Production (E&P) projects that are usually spread all over the world. Therefore, it is important not only to manage individual projects by themselves, but to also take into account different interactions between projects in order to manage whole portfolios. This study is the step-by-step representation of the method of optimizing portfolios of risky petroleum E&P projects, an illustrated method based on Markowitz’s Portfolio Theory. This method uses the covariance matrix between projects’ expected return in order to optimize their portfolio. The developed computer model consists of four major modules. The first module generates petroleum price forecasts. In our implementation we used the price forecasting method based on Sequential Gaussian Simulation. The second module, Monte Carlo, simulates distribution of reserves and a set of expected production profiles. The third module calculates expected after tax net cash flows and estimates performance indicators for each realization, thus yielding distribution of return for each project. The fourth module estimates covariance between return distributions of individual projects and compiles them into portfolios. Using results of the fourth module, analysts can make their portfolio selection decisions. Thus, an advanced computer model for optimization of the portfolio of petroleum assets has been developed. The model is implemented in a MATLAB® computational environment and allows optimization of the portfolio using three different return measures (NPV, GRR, PI). The model has been successfully applied to the set of synthesized projects yielding reasonable solutions in all three return planes. Analysis of obtained solutions has shown that the given computer model is robust and flexible in terms of input data and output results. Its modular architecture allows further inclusion of complementary “blocks” that may solve optimization problems utilizing different measures (than considered) of risk and return as well as different input data formats.

Aibassov, Gizatulla

2007-12-01T23:59:59.000Z

172

Optimizing fracture stimulation using treatment-well tiltmeters and integrated fracture modeling  

Science Conference Proceedings (OSTI)

This paper covers the optimization of hydraulic fracture treatments in a new coalbed methane (CBM) reservoir in Wyoming. A multiwell pilot project was conducted in the Copper Ridge (CR) field to assess future development potential. Hydraulic fracture mapping was successfully performed with treatment-well tiltmeters on six wells including the first-ever used on propped treatments. The mapped fracture height was then used to calibrate the fracture model, perform on-site fracture-design changes, and optimize future fracture treatments. This paper shows how early use of fracture diagnostics can assist in the development of a new reservoir.

Mayerhofer, M.; Stutz, L.; Davis, E.; Wolhart, S. [Pinnacle Technology Houston, Houston, TX (United States)

2006-05-15T23:59:59.000Z

173

Optimal control of remote hybrid power systems. Part 1: Simplified model  

SciTech Connect

In this two-part study, time-series models are used to determine optimal dispatch strategies, in conjunction with optimally-sized components, in remote hybrid power systems. The objective of the dispatch optimization is to minimize the costs associated with diesel fuel, diesel starts, and battery erosion, based on a thorough economic analysis of present worth life-cycle cost. An ideal predictive control strategy is used as a basis of comparison. In Part 1 (reported here), a simplified time-series model is used to obtain preliminary conceptual results. These results illustrate the nature of the optimal dispatch strategy and indicate that a simple SOC setpoint strategy can be practically as effective as the ideal predictive control. In Part 2 (at a later date), a more detailed model will be used to obtain more accurate, quantitative results. The authors anticipate that these results will be correlated to dimensionless economic, design, and performance parameters, rendering them useful as design guidelines over a wide variety of load profiles, climates, equipment specifications, and economic variables.

Barley, C D [Colorado State Univ., Fort Collins, CO (United States). Mechanical Engineering Dept.; [National Renewable Energy Lab., Golden, CO (United States). Wind Technology Div.; Winn, C B [Colorado State Univ., Fort Collins, CO (United States); Flowers, L; Green, H J [National Renewable Energy Lab., Golden, CO (United States). Wind Technology Div.

1995-04-01T23:59:59.000Z

174

Aggregate Models based on Improved Group Methods for Simulation and Optimization of Distillation Systems  

E-Print Network (OSTI)

This note deals with aggregate models for complex distillation systems in largescale flowsheets. Group methods were originally devised for simple absorber and stripper calculations with no major extensions for handling distillation. In this work, group methods are systematically analyzed and further improved by modifying some of the previously proposed approximations. As a result, the improved group method exhibits accurate predictions and this is demonstrated using simulation and optimization case studies for a variety of chemical systems and operating conditions. It is observed that the prediction of output variables is in close agreement with that of the rigorous equilibrium stage model. In case of optimization problems, the optimal number of trays and feed locations differ by only one or two trays. The aggregate model can be applied in a sequence of steps in order to improve the reliability and robustness of the solution procedure. A rounding heuristic is also proposed which can provide near-optimal solutions with a significant reduction in computational time. ?To whom correspondence should be addressed.

Ravindra S. Kamath; Ignacio E. Grossmann; Lorenz T. Biegler

2009-01-01T23:59:59.000Z

175

Model Predictive Control-based Optimal Coordination of Distributed Energy Resources  

SciTech Connect

Distributed energy resources, such as renewable energy resources (wind, solar), energy storage and demand response, can be used to complement conventional generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging, especially in isolated systems. In this paper, an optimal control strategy is proposed to coordinate energy storage and diesel generators to maximize wind penetration while maintaining system economics and normal operation performance. The goals of the optimization problem are to minimize fuel costs and maximize the utilization of wind while considering equipment life of generators and energy storage. Model predictive control (MPC) is used to solve a look-ahead dispatch optimization problem and the performance is compared to an open loop look-ahead dispatch problem. Simulation studies are performed to demonstrate the efficacy of the closed loop MPC in compensating for uncertainties and variability caused in the system.

Mayhorn, Ebony T.; Kalsi, Karanjit; Lian, Jianming; Elizondo, Marcelo A.

2013-01-07T23:59:59.000Z

176

Hybrid Powertrain Optimization for Plug-In Microgrid Power Generation Automated Modeling Laboratory Slide 1 of 28  

E-Print Network (OSTI)

Hybrid Powertrain Optimization for Plug-In Microgrid Power Generation Automated Modeling LaboratoryPlug--InIn MicrogridMicrogrid Power GenerationPower Generation Scott J. MouraScott J. Moura DongsukDongsuk KumKum Hosam Powertrain Optimization for Plug-In Microgrid Power Generation Automated Modeling Laboratory Slide 2 of 28

Krstic, Miroslav

177

Reflections on Monetary Policy Choices in the Open Economy: Implications from an Optimizing Model  

E-Print Network (OSTI)

The purpose of this paper is to provide some intuition and insight into monetary policy choices faced in the open economy. The approach we pursue is to ‘inspect the mechanism ’ of the two country Clarida, Gali, Gertler (2002) optimizing model by focusing on the three main building blocks that can be derived from it: the ‘open economy ’ IS curve, the open economy Phillips curve, and the open economy Taylor rule. We emphasize the following results that are based open a benchmark specification of the model which assume that the elasticity of intertemporal substitution in consumption is less than 1. First, there will in general be a spillover from foreign output to potential domestic output. Second, there will in general be a spillover from foreign output growth to the domestic neutral real interest rate. Third, we show that a more open economy has a flatter IS curve. Fourth, we show that a more open economy has a flatter Phillips curve. We discuss that a more open economy places a larger weight on inflation stabilization in the appropriately derived quadratic approximation to the social welfare function. Sixth, we review that optimal monetary policy in the open economy can be written as a Taylor rule in the neutral real interest rate and expected domestic inflation. Seventh, we show that in a more open economy the optimal Taylor rule coefficient on expected inflation is smaller than in a more closed economy, so that the central bank needs to lean less against the wind for any given inflation shock. Eighth, while a Taylor rule is one way to write the optimal policy rule, the optimal policy rule can also be written as an augmented Taylor rule that includes the rate of nominal exchange rate depreciation and the home ? foreign growth differential. Ninth, there is a presumption that, under optimal monetary policy, bad news about inflation will be good news for the exchange rate. Reflections on Monetary Policy Choices in the Open Economy:

Richard H. Clarida; Richard H. Clarida

2007-01-01T23:59:59.000Z

178

A diffusion theory model for optimization calculations of cold neutron sources  

DOE Green Energy (OSTI)

This summary describes a simple two-group diffusion model of an infinite slab, liquid deuterium (LD/sub 2/) cold source. The simplicity of the model permits us to obtain an analytical solution from which we can deduce the reason for the optimum thickness based solely on diffusion type phenomena. Also, a second more sophisticated model is described, and the results compared to a deterministic transport calculation. The good (particularly qualitative) agreement between the results suggests that diffusion theory methods can be used in parametric and optimization studies in order to avoid the generally more expensive transport calculations. 5 refs., 1 fig.

Azmy, Y.Y.

1987-01-01T23:59:59.000Z

179

Overview of the principal Brookhaven energy system optimization models. [BESOM, three variants, and two applications  

Science Conference Proceedings (OSTI)

The Brookhaven Energy System Optimization Model (BESOM), three of its variants, and two examples of characteristic applications are described. BESOM is a linear-programming model that was developed for the quantitative evaluation of energy technologies and policies within a systems framework. The model is designed to examine interfuel substitutions in the context of constraints on the availability of competing resources and technologies. BESOM provides a snapshot of the national energy system configuration, while MARKAL and TESOM provide, respectively, a farsighted time dimension and a simulation capability for the examination of the evolution of a national energy system over a time horizon.

Kydes, A S

1980-11-01T23:59:59.000Z

180

Observations on the Optimality Tolerance in the CAISO 33% RPS Model  

DOE Green Energy (OSTI)

In 2008 Governor Schwarzenegger of California issued an executive order requiring that 33 percent of all electricity in the state in the year 2020 should come from renewable resources such as wind, solar, geothermal, biomass, and small hydroelectric facilities. This 33% renewable portfolio standard (RPS) was further codified and signed into law by Governor Brown in 2011. To assess the market impacts of such a requirement, the California Public Utilities Commission (CPUC) initiated a study to quantify the cost, risk, and timing of achieving a 33% RPS by 2020. The California Independent System Operator (CAISO) was contracted to manage this study. The production simulation model used in this study was developed using the PLEXOS software package, which allows energy planners to optimize long-term system planning decisions under a wide variety of system constraints. In this note we describe our observations on varying the optimality tolerance in the CAISO 33% RPS model. In particular, we observe that changing the optimality tolerance from .05% to .5% leads to solutions over 5 times faster, on average, producing very similar solutions with a negligible difference in overall distance from optimality.

Yao, Y; Meyers, C; Schmidt, A; Smith, S; Streitz, F

2011-09-22T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

Combining multi-objective optimization and bayesian model averaging to calibrate forecast ensembles of soil hydraulic models  

SciTech Connect

Most studies in vadose zone hydrology use a single conceptual model for predictive inference and analysis. Focusing on the outcome of a single model is prone to statistical bias and underestimation of uncertainty. In this study, we combine multi-objective optimization and Bayesian Model Averaging (BMA) to generate forecast ensembles of soil hydraulic models. To illustrate our method, we use observed tensiometric pressure head data at three different depths in a layered vadose zone of volcanic origin in New Zealand. A set of seven different soil hydraulic models is calibrated using a multi-objective formulation with three different objective functions that each measure the mismatch between observed and predicted soil water pressure head at one specific depth. The Pareto solution space corresponding to these three objectives is estimated with AMALGAM, and used to generate four different model ensembles. These ensembles are post-processed with BMA and used for predictive analysis and uncertainty estimation. Our most important conclusions for the vadose zone under consideration are: (1) the mean BMA forecast exhibits similar predictive capabilities as the best individual performing soil hydraulic model, (2) the size of the BMA uncertainty ranges increase with increasing depth and dryness in the soil profile, (3) the best performing ensemble corresponds to the compromise (or balanced) solution of the three-objective Pareto surface, and (4) the combined multi-objective optimization and BMA framework proposed in this paper is very useful to generate forecast ensembles of soil hydraulic models.

Vrugt, Jasper A [Los Alamos National Laboratory; Wohling, Thomas [NON LANL

2008-01-01T23:59:59.000Z

182

Implications of a Regime-Switching Model on Natural Gas Storage Valuation and Optimal Operation  

E-Print Network (OSTI)

In this paper, we propose a one-factor regime-switching model for the risk adjusted natural gas spot price and study the implications of the model on the valuation and optimal operation of natural gas storage facilities. We calibrate the model parameters to both market futures and options on futures. Calibration results indicate that the regime-switching model is a better fit to market data compared to a one-factor mean-reverting model similar to those used by other authors to value gas storage. We extend a semi-Lagrangian timestepping scheme from Chen and Forsyth (2007) to solve the gas storage pricing problem, essentially a stochastic control problem, and conduct a convergence analysis of the scheme. Numerical results also indicate that the regime-switching model can generate operational strategies for gas storage facilities that reflect the existence of multiple regimes in the market as well as the regime shifts due to various exogenous events.

Zhuliang Chen; Peter A. Forsyth

2007-01-01T23:59:59.000Z

183

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

E-Print Network (OSTI)

New maintenance techniques for circuit breakers are studied in this dissertation by proposing a probabilistic maintenance model and a new methodology to assess circuit breaker condition utilizing its control circuit data. A risk-based decision approach is proposed at system level making use of the proposed new methodology, for optimizing the maintenance schedules and allocation of resources. This dissertation is focused on developing optimal maintenance strategies for circuit breakers, both at component and system level. A probabilistic maintenance model is proposed using similar approach recently introduced for power transformers. Probabilistic models give better insight into the interplay among monitoring techniques, failure modes and maintenance techniques of the component. The model is based on the concept of representing the component life time by several deterioration stages. Inspection and maintenance is introduced at each stage and model parameters are defined. A sensitivity analysis is carried to understand the importance of model parameters in obtaining optimal maintenance strategies. The analysis covers the effect of inspection rate calculated for each stage and its impact on failure probability, inspection cost, maintenance cost and failure cost. This maintenance model is best suited for long-term maintenance planning. All simulations are carried in MATLAB and how the analysis results may be used to achieve optimal maintenance schedules is discussed. A new methodology is proposed to convert data from the control circuit of a breaker into condition of the breaker by defining several performance indices for breaker assemblies. Control circuit signal timings are extracted and a probability distribution is fitted to each timing parameter. Performance indices for various assemblies such as, trip coil, close coil, auxiliary contacts etc. are defined based on the probability distributions. These indices are updated using Bayesian approach as the new data arrives. This process can be made practical by approximating the Bayesian approach calculating the indices on-line. The quantification of maintenance is achieved by computing the indices after a maintenance action and comparing with those of previously estimated ones. A risk-based decision approach to maintenance planning is proposed based on the new methodology developed for maintenance quantification. A list of events is identified for the test system under consideration, and event probability, event consequence, and hence the risk associated with each event is computed. Optimal maintenance decisions are taken based on the computed risk levels for each event. Two case studies are presented to evaluate the performance of the proposed new methodology for maintenance quantification. The risk-based decision approach is tested on IEEE Reliability Test System. All simulations are carried in MATLAB and the discussions of results are provided.

Natti, Satish

2008-12-01T23:59:59.000Z

184

From the Optimizing Thermostat to a Smart Energy Management System: Models,  

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

From the Optimizing Thermostat to a Smart Energy Management System: Models, From the Optimizing Thermostat to a Smart Energy Management System: Models, Benchmark, and Insights Speaker(s): Yong Liang Date: May 1, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page Nowadays, users in the retail electricity market only need to pay a fixed rate for electricity. This strategy results in lack of coordination between demand and supply and costs significant waste. A shift from fixed rate pricing in retail markets could potentially yield many benefits. Time-varying pricing promotes the substitution of off-peak consumption for peak consumption, reducing strain on the electrical system, the need for costly and inefficient "peaker" plants, and waste in electricity delivery. However, existing research supports what common sense suggests:

185

HIGH DETAIL STATIONARY OPTIMIZATION MODELS FOR GAS NETWORKS --PART 1: MODEL COMPONENTS.  

E-Print Network (OSTI)

SCHMIDT, MARC C. STEINBACH, BERNHARD M. WILLERT Abstract. Economic reasons and the regulation of gas markets create a growing need for mathematical optimization in natural gas networks. Real life planning after fixing discrete decisions with coarsely approximated physics. 1. Introduction Natural gas plays

Steinbach, Marc

186

An optimized model and test of the China's first high temperature parabolic trough solar receiver  

SciTech Connect

The vacuum solar receiver is the key component of a parabolic trough solar plant, which plays a prominent role in the gross system efficiency. Recently, China's first high temperature vacuum receiver, Sanle-3 HCE, has been developed and produced by Southeast University and Sanle Electronic Group. Before being utilized in China's first parabolic trough solar plant, accurately estimating the thermal properties of this new receiver is important. This paper first establishes and optimizes a 1-D theoretical model at Matlab program to compute the receiver's major heat loss through glass envelope, and then systematically analyzes the major influence factors of heat loss. With the laboratorial steady state test stand, the heat losses of both good vacuum and non-vacuum Sanle-3 receivers were surveyed. Comparison shows the original 1-D model agrees with the ends covered test while remarkably deviating from end exposed test. For the purpose of identifying the influence of receiver's end to total heat loss, an additional 3-D model is built by CFD software to further investigate the different heat transfer processes of receiver's end components. The 3-D end model is verified by heating power and IR temperature distribution images in the test. Combining the optimized 1-D model with the new 3-D end model, the comparison with test data shows a good accordance. At the same time the heat loss curve and emittance curve of this new receiver are given and compared with those of several other existing receivers as references. (author)

Gong, Guangjie; Huang, Xinyan; Wang, Jun; Hao, Menglong [Southeast University, Nanjing (China)

2010-12-15T23:59:59.000Z

187

A multiperiod optimization model to schedule large-scale petroleum development projects  

E-Print Network (OSTI)

This dissertation solves an optimization problem in the area of scheduling large-scale petroleum development projects under several resources constraints. The dissertation focuses on the application of a metaheuristic search Genetic Algorithm (GA) in solving the problem. The GA is a global search method inspired by natural evolution. The method is widely applied to solve complex and sizable problems that are difficult to solve using exact optimization methods. A classical resource allocation problem in operations research known under Knapsack Problems (KP) is considered for the formulation of the problem. Motivation of the present work was initiated by certain petroleum development scheduling problem in which large-scale investment projects are to be selected subject to a number of resources constraints in several periods. The constraints may occur from limitations in various resources such as capital budgets, operating budgets, and drilling rigs. The model also accounts for a number of assumptions and business rules encountered in the application that motivated this work. The model uses an economic performance objective to maximize the sum of Net Present Value (NPV) of selected projects over a planning horizon subject to constraints involving discrete time dependent variables. Computational experiments of 30 projects illustrate the performance of the model. The application example is only illustrative of the model and does not reveal real data. A Greedy algorithm was first utilized to construct an initial estimate of the objective function. GA was implemented to improve the solution and investigate resources constraints and their effect on the assets value. The timing and order of investment decisions under constraints have the prominent effect on the economic performance of the assets. The application of an integrated optimization model provides means to maximize the financial value of the assets, efficiently allocate limited resources and to analyze more scheduling alternatives in less time.

Husni, Mohammed Hamza

2008-12-01T23:59:59.000Z

188

Optimal Cluster Mill Pass Scheduling With an Accurate and Rapid New Strip Crown Model  

Science Conference Proceedings (OSTI)

Besides the requirement to roll coiled sheet at high levels of productivity, the optimal pass scheduling of cluster-type reversing cold mills presents the added challenge of assigning mill parameters that facilitate the best possible strip flatness. The pressures of intense global competition, and the requirements for increasingly thinner, higher quality specialty sheet products that are more difficult to roll, continue to force metal producers to commission innovative flatness-control technologies. This means that during the on-line computerized set-up of rolling mills, the mathematical model should not only determine the minimum total number of passes and maximum rolling speed, it should simultaneously optimize the pass-schedule so that desired flatness is assured, either by manual or automated means. In many cases today, however, on-line prediction of strip crown and corresponding flatness for the complex cluster-type rolling mills is typically addressed either by trial and error, by approximate deflection models for equivalent vertical roll-stacks, or by non-physical pattern recognition style models. The abundance of the aforementioned methods is largely due to the complexity of cluster-type mill configurations and the lack of deflection models with sufficient accuracy and speed for on-line use. Without adequate assignment of the pass-schedule set-up parameters, it may be difficult or impossible to achieve the required strip flatness. In this paper, we demonstrate optimization of cluster mill pass-schedules using a new accurate and rapid strip crown model. This pass-schedule optimization includes computations of the predicted strip thickness profile to validate mathematical constraints. In contrast to many of the existing methods for on-line prediction of strip crown and flatness on cluster mills, the demonstrated method requires minimal prior tuning and no extensive training with collected mill data. To rapidly and accurately solve the multi-contact problem and predict the strip crown, a new customized semi-analytical modeling technique that couples the Finite Element Method (FEM) with classical solid mechanics was developed to model the deflection of the rolls and strip while under load. The technique employed offers several important advantages over traditional methods to calculate strip crown, including continuity of elastic foundations, non-iterative solution when using predetermined foundation moduli, continuous third-order displacement fields, simple stress-field determination, and a comparatively faster solution time.

Malik, Arif S.; Grandhi, Ramana V. [Dept. of Mechanical Engineering, Wright State University, 3640 Col. Glenn Hwy., Dayton, OH 45435 (United States); Zipf, Mark E. [Intergrated Industrial Systems, Inc., 475 Main St., Yalesville, CT 06492 (United States)

2007-05-17T23:59:59.000Z

189

Abstract--An optimization model that incorporates demand in the paradigm of smart grids and distributed generation is  

E-Print Network (OSTI)

, Maximum expected demand in the optimization period Cost associated to energy generated by demand from1 Abstract--An optimization model that incorporates demand in the paradigm of smart grids and distributed generation is formulated. The objective is to transform the demand into an active agent that helps

Catholic University of Chile (Universidad Católica de Chile)

190

Stochastic hydro-economic modeling for optimal management of agricultural groundwater nitrate pollution under hydraulic conductivity uncertainty  

Science Conference Proceedings (OSTI)

In decision-making processes, reliability and risk aversion play a decisive role. This paper presents a framework for stochastic optimization of control strategies for groundwater nitrate pollution from agriculture under hydraulic conductivity uncertainty. ... Keywords: Fertilizer allocation, Groundwater, Nitrates, Optimization, Stochastic management model, Uncertainty

S. Peña-Haro; M. Pulido-Velazquez; C. Llopis-Albert

2011-08-01T23:59:59.000Z

191

A Research on Production Optimization of Coupled Surface and Subsurface Model  

E-Print Network (OSTI)

One of the main objectives in the Oil & Gas Industry is to constantly improve the reservoir management capabilities by using production optimization strategies that can positively impact the so-called net-present value (NPV) of a given project. In order to achieve this goal the industry is faced with the difficult task of maximizing hydrocarbon production and minimizing unwanted fluids, such as water, while sustaining or even enhancing the reservoir recovery factor by handling properly the fluids at surface facilities. A key element in this process is the understanding of the interactions between subsurface and subsurface dynamics in order to provide insightful production strategies which honor reservoir management surface facility constraints. The implementation of the ideal situation of fully coupling surface/subsurface has been hindered by the required computational efforts involved in the process. Consequently, various types of partially coupling that require less computational efforts are practically implemented. Due to importance of coupling surface and subsurface model on production optimization and taking the advantage of advancing computational performance, this research explores the concept of surface and subsurface model couplings and production optimization. The research aims at demonstrating the role of coupling of surface and subsurface model on production optimization under simple production constraint (i.e. production and injection pressure limit). The normal production prediction runs with various reservoir description (homogeneous-low permeability, homogeneous-high permeability, and heterogeneous permeability) and different fluid properties (dead-oil PVT and lived-oil PVT) were performed in order to understand the effect of coupling level, and coupling scheme with different reservoir descriptions and fluid properties on production and injection rate prediction. The result shows that for dead-oil PVT, the production rate from different coupling schemes in homogeneous and heterogeneous reservoir is less sensitive than lived-oil PVT cases. For lived-oil PVT, the production rate from different coupling schemes in homogeneous high permeability and heterogeneous permeability are more sensitive than homogeneous low permeability. The production optimization on water flooding under production and injection constraint cases is considered here also.

Iemcholvilert, Sevaphol

2013-08-01T23:59:59.000Z

192

Multidataset Study of Optimal Parameter and Uncertainty Estimation of a Land Surface Model with Bayesian Stochastic Inversion and Multicriteria Method  

Science Conference Proceedings (OSTI)

This study evaluates the ability of Bayesian stochastic inversion (BSI) and multicriteria (MC) methods to search for the optimal parameter sets of the Chameleon Surface Model (CHASM) using prescribed forcing to simulate observed sensible and ...

Youlong Xia; Mrinal K. Sen; Charles S. Jackson; Paul L. Stoffa

2004-10-01T23:59:59.000Z

193

Impact of Geographic-Dependent Parameter Optimization on Climate Estimation and Prediction: Simulation with an Intermediate Coupled Model  

Science Conference Proceedings (OSTI)

Because of the geographic dependence of model sensitivities and observing systems, allowing optimized parameter values to vary geographically may significantly enhance the signal in parameter estimation. Using an intermediate atmosphere–ocean–land ...

Xinrong Wu; Shaoqing Zhang; Zhengyu Liu; Anthony Rosati; Thomas L. Delworth; Yun Liu

2012-12-01T23:59:59.000Z

194

Development of an entrained flow gasifier model for process optimization study  

SciTech Connect

Coal gasification is a versatile process to convert a solid fuel in syngas, which can be further converted and separated in hydrogen, which is a valuable and environmentally acceptable energy carrier. Different technologies (fixed beds, fluidized beds, entrained flow reactors) are used, operating under different conditions of temperature, pressure, and residence time. Process studies should be performed for defining the best plant configurations and operating conditions. Although 'gasification models' can be found in the literature simulating equilibrium reactors, a more detailed approach is required for process analysis and optimization procedures. In this work, a gasifier model is developed by using AspenPlus as a tool to be implemented in a comprehensive process model for the production of hydrogen via coal gasification. It is developed as a multizonal model by interconnecting each step of gasification (preheating, devolatilization, combustion, gasification, quench) according to the reactor configuration, that is in entrained flow reactor. The model removes the hypothesis of equilibrium by introducing the kinetics of all steps and solves the heat balance by relating the gasification temperature to the operating conditions. The model allows to predict the syngas composition as well as quantity the heat recovery (for calculating the plant efficiency), 'byproducts', and residual char. Finally, in view of future works, the development of a 'gasifier model' instead of a 'gasification model' will allow different reactor configurations to be compared.

Biagini, E.; Bardi, A.; Pannocchia, G.; Tognotti, L. [Consorzio Pisa Ric, Pisa (Italy). Div Energia Ambiente

2009-10-15T23:59:59.000Z

195

Optimal cytoplasmatic density and flux balance model under macromolecular crowding effects  

E-Print Network (OSTI)

Macromolecules occupy between 34 and 44% of the cell cytoplasm, about half the maximum pack- ing density of spheres in three dimension. Yet, there is no clear understanding of what is special about this value. To address this fundamental question we investigate the effect of macromolecular crowding on cell metabolism. We develop a cell scale flux balance model capturing the main features of cell metabolism at different nutrient uptakes and macromolecular densities. Using this model we show there are two metabolic regimes at low and high nutrient uptakes. The latter regime is charac- terized by an optimal cytoplasmatic density where the increase of reaction rates by confinement and the decrease by diffusion slow-down balance. More important, the predicted optimal density is in the range of the experimentally determined density of E. coli. We conclude that cells have evolved to a cytoplasmatic density resulting in the maximum metabolic rate given the nutrient availability and macromolecular crowding effects and report a flux balance model accounting for its effect.

Alexei Vazquez

2009-10-11T23:59:59.000Z

196

A Technical Review on Biomass Processing: Densification, Preprocessing, Modeling and Optimization  

SciTech Connect

It is now a well-acclaimed fact that burning fossil fuels and deforestation are major contributors to climate change. Biomass from plants can serve as an alternative renewable and carbon-neutral raw material for the production of bioenergy. Low densities of 40–60 kg/m3 for lignocellulosic and 200–400 kg/m3 for woody biomass limits their application for energy purposes. Prior to use in energy applications these materials need to be densified. The densified biomass can have bulk densities over 10 times the raw material helping to significantly reduce technical limitations associated with storage, loading and transportation. Pelleting, briquetting, or extrusion processing are commonly used methods for densification. The aim of the present research is to develop a comprehensive review of biomass processing that includes densification, preprocessing, modeling and optimization. The specific objective include carrying out a technical review on (a) mechanisms of particle bonding during densification; (b) methods of densification including extrusion, briquetting, pelleting, and agglomeration; (c) effects of process and feedstock variables and biomass biochemical composition on the densification (d) effects of preprocessing such as grinding, preheating, steam explosion, and torrefaction on biomass quality and binding characteristics; (e) models for understanding the compression characteristics; and (f) procedures for response surface modeling and optimization.

Jaya Shankar Tumuluru; Christopher T. Wright

2010-06-01T23:59:59.000Z

197

Brandon Newell  

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

School where he focused his research on the impact of utilizing the HOMER Micropower Optimization tool for modeling Marine Corps expeditionary energy. He also holds a B.S. in...

198

Technologies Recently Available for Licensing - 1999  

DOE Green Energy (OSTI)

An NREL Technology Transfer fact sheet describing four technologies that are available for licensing: steel weld weakness detection, cadmium telluride solar cell enhancement, HOMER model for choosing optimal electrical systems for remote areas, and inner-flame matrix burner.

Brown, H.; Touryan, K.

1999-09-07T23:59:59.000Z

199

Hydraulic Fracture Optimization with a Pseudo-3D Model in Multi-layered Lithology  

E-Print Network (OSTI)

Hydraulic Fracturing is a technique to accelerate production and enhance ultimate recovery of oil and gas while fracture geometry is an important aspect in hydraulic fracturing design and optimization. Systematic design procedures are available based on the so-called two-dimensional models (2D) focus on the optimization of fracture length and width, assuming one can estimate a value for fracture height, while so-called pseudo three dimensional (p-3D) models suitable for multi-layered reservoirs aim to maximize well production by optimizing fracture geometry, including fracture height, half-length and width at the end of the stimulation treatment. The proposed p-3D approach to design integrates four parts: 1) containment layers discretization to allow for a range of plausible fracture heights, 2) the Unified Fracture Design (UFD) model to calculate the fracture half-length and width, 3) the PKN or KGD models to predict hydraulic fracture geometry and the associated net pressure and other treatment parameters, and, finally, 4) Linear Elastic Fracture Mechanics (LEFM) to calculate fracture height. The aim is to find convergence of fracture height and net pressure. Net pressure distribution plays an important role when the fracture is propagating in the reservoir. In multi-layered reservoirs, the net pressure of each layer varies as a result of different rock properties. This study considers the contributions of all layers to the stress intensity factor at the fracture tips to find the final equilibrium height defined by the condition where the fracture toughness equals the calculated stress intensity factor based on LEFM. Other than maximizing production, another obvious application of this research is to prevent the fracture from propagating into unintended layers (i.e. gas cap and/or aquifer). Therefore, this study can aid fracture design by pointing out: (1) Treating pressure needed to optimize fracture geometry, (2) The containment top and bottom layers of a multi-layered reservoir, (3) The upwards and downwards growth of the fracture tip from the crack center.

Yang, Mei

2011-08-01T23:59:59.000Z

200

Modeling Resource, Infrastructure, and Policy Cost Layers for Optimizing Renewable Energy Investment and Deployment  

SciTech Connect

This paper presents a framework for creating a common spatial canvass that can bring together considerations of resource availability, infrastructure reliability, and development costs while strategizing renewable energy investment. We describe the underlying models and methodologies that annotate an investment plan for potential sites over a time-period with costs and constraints which may be imposed on distance from infrastructure, system impact on infrastructure, and policy incentives. The framework is intended as an enabler for visualization, optimization and decision making across diverse dimensions while searching for lucrative investment-plans.

Sukumar, Sreenivas R [ORNL; Olama, Mohammed M [ORNL; Shankar, Mallikarjun [ORNL; Hadley, Stanton W [ORNL; Nutaro, James J [ORNL; Protopopescu, Vladimir A [ORNL; Malinchik, Sergey [Lockheed Martin Corporation; Ives, Barry [Lockheed Martin Corporation

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" from the National Library of EnergyBeta (NLEBeta).
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201

Automatic Calibration of a Building Energy Simulation Model Using a Global Optimization Program  

E-Print Network (OSTI)

A simulation model used to analyze the energy performance of an existing building should be calibrated to measured consumption data from the building so the simulation output closely follows the measured time series energy consumption data and shows the same temperature dependence. This paper has used optimization software to show that a simple simulation program which is a coding of the ASHRAE 'Simplified Energy Analysis Procedure' can be automatically calibrated to “measured” data. The “measured data” used in this case study was simulation data to which a small amount of white noise had been added.

Lee, S. U.; Claridge, D.

2002-01-01T23:59:59.000Z

202

Improving the performance of mass-consistent numerical models using optimization techniques  

DOE Green Energy (OSTI)

This report describes a technique of using a mass-consistent model to derive wind speeds over a microscale region of complex terrain. A serious limitation in the use of these numerical models is that the calculated wind field is highly sensitive to some input parameters, such as those specifying atmospheric stability. Because accurate values for these parameters are not usually known, confidence in the calculated winds is low. However, values for these parameters can be found by tuning the model to existing wind observations within a microscale area. This tuning is accomplished by using a single-variable, unconstrained optimization procedure that adjusts the unknown parameters so that the error between the observed winds and model calculations of these winds is minimized. Model verification is accomplished by using eight sets of hourly averaged wind data. These data are obtained from measurements made at approximately 30 sites covering a wind farm development in the Altamont Pass area. When the model is tuned to a small subset of the 30 sites, an accurate determination of the wind speeds was made for the remaining sites in six of the eight cases. (The two that failed were low wind speed cases.) Therefore, when this technique is used, numerical modeling shows great promise as a tool for microscale siting of wind turbines in complex terrain.

Barnard, J.C.; Wegley, H.L.; Hiester, T.R.

1985-09-01T23:59:59.000Z

203

BGNN Neural Network Based on Improved E.Coli Foraging Optimization Algorithm Used in the Nonlinear Modeling of Hydraulic Turbine  

Science Conference Proceedings (OSTI)

A novel Bayesian-Gaussian neural network (BGNN) is proposed in this paper for the nonlinear modeling of hydraulic turbine which is difficult to obtain its mathematical model because of its complex and nonlinear characteristics. The topology and connection ... Keywords: BGNN, Hydraulic turbine, Improved E.Coli foraging optimization algorithm, Nonlinear modeling

Yijian Liu; Yanjun Fang

2009-05-01T23:59:59.000Z

204

Modeling And Optimal Design Of A Central Solar Heating Plant With Heat Storage In The Ground Using Modelica  

E-Print Network (OSTI)

The paper discusses the modeling of a central solar heating plant with seasonal storage in the ground using the new object-oriented physical systems modeling language Modelica. Main emphasis is put on the hierarchical decomposition of the system model and on the re-engineering of an existing Fortran code for the ground store model. The object-oriented physical system model is compiled to a mathematical description in the form of ordinary di#erential equations #ODE#. The ODE model is used to formulate and solve nonlinear optimization problems. We show design optimization results obtained for given weather conditions in Switzerland. The heating system is designed to cover the annual load of a housing area for space heating of about 500 MWh to 95# by solar. The optimization results have been validated with the help of initial-value simulations using TRNSYS, a special-purpose simulation software for thermal energy systems.

R. Franke

1998-01-01T23:59:59.000Z

205

Development and Control of Autonomous, Biped Locomotion using Efficient Modeling, Simulation, and Optimization Techniques  

E-Print Network (OSTI)

. The optimization of the stability or energy performance indices subject to the system dynamics and constraints

Stryk, Oskar von

206

Optimization Online Digest -- February 2013  

E-Print Network (OSTI)

Extension of Completely Positive Cone Relaxation to Polynomial Optimization ... Optimal Power Grid Protection through A Defender-Attacker-Defender Model

207

Complete model of a spherical gravitational wave detector with capacitive transducers. Calibration and sensitivity optimization  

E-Print Network (OSTI)

We report the results of a detailed numerical analysis of a real resonant spherical gravitational wave antenna operating with six resonant two-mode capacitive transducers read out by superconducting quantum interference devices (SQUID) amplifiers. We derive a set of equations to describe the electro-mechanical dynamics of the detector. The model takes into account the effect of all the noise sources present in each transducer chain: the thermal noise associated with the mechanical resonators, the thermal noise from the superconducting impedance matching transformer, the back-action noise and the additive current noise of the SQUID amplifier. Asymmetries in the detector signal-to-noise ratio and bandwidth, coming from considering the transducers not as point-like objects but as sensor with physically defined geometry and dimension, are also investigated. We calculate the sensitivity for an ultracryogenic, 30 ton, 2 meter in diameter, spherical detector with optimal and non-optimal impedance matching of the electrical read-out scheme to the mechanical modes. The results of the analysis is useful not only to optimize existing smaller mass spherical detector like MiniGrail, in Leiden, but also as a technological guideline for future massive detectors. Furthermore we calculate the antenna patterns when the sphere operates with one, three and six resonators. The sky coverage for two detectors based in The Netherlands and Brasil and operating in coincidence is also estimated. Finally, we describe and numerically verify a calibration and filtering procedure useful for diagnostic and detection purposes in analogy with existing resonant bar detectors.

Luciano Gottardi

2006-08-20T23:59:59.000Z

208

Modeling and optimization of the growth rate for ZnO thin films using neural networks and genetic algorithms  

Science Conference Proceedings (OSTI)

The process modeling for the growth rate in pulsed laser deposition (PLD)-grown ZnO thin films was investigated using neural networks (NNets) based on the back-propagation (BP) algorithm and the process recipes was optimized via genetic algorithms (GAs). ... Keywords: Genetic algorithms, Neural networks, PLD, Process modeling, ZnO

Young-Don Ko; Pyung Moon; Chang Eun Kim; Moon-Ho Ham; Jae-Min Myoung; Ilgu Yun

2009-03-01T23:59:59.000Z

209

Water Transport in PEM Fuel Cells: Advanced Modeling, Material Selection, Testing, and Design Optimization  

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

in PEM Fuel Cells: in PEM Fuel Cells: Advanced Modeling, Material Selection, Testing, and Design Optimization J. Vernon Cole and Ashok Gidwani CFDRC Prepared for: DOE Hydrogen Fuel Cell Kickoff Meeting February 13, 2007 This presentation does not contain any proprietary or confidential information. Background Water Management Issues Arise From: ƒ Generation of water by cathodic reaction ƒ Membrane humidification requirements ƒ Capillary pressure driven transport through porous MEA and GDL materials ƒ Scaling bipolar plate channel dimensions J.H. Nam and M. Kaviany, Int. J. Heat Mass Transfer, 46, pp. 4595-4611 (2003) Relevant Barriers and Targets ƒ Improved Gas Diffusion Layer, Flow Fields, Membrane Electrode Assemblies Needed to Improve Water Management: * Flooding blocks reactant transport

210

L3 Milestone Use Computational Model to Design and Optimize Welding Conditions to Suppress Helium  

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

L3 Milestone L3 Milestone Use Computational Model to Design and Optimize Welding Conditions to Suppress Helium Cracking during Welding June 2012 Wei Zhang and Zhili Feng, ORNL Eric Willis, EPRI Background and Objectives Today, welding is widely used for repair, maintenance and upgrade of nuclear reactor components. As a critical technology to extend the service life of nuclear power plants beyond 60 years, weld technology must be further developed to meet new challenges associated with the aging of the plants, such as control and mitigation of the detrimental effects of weld residual stresses and repair of highly irradiated materials. To meet this goal, fundamental understanding of the "welding" effect is necessary for development of new and improved welding technologies.

211

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production  

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

Hour-by-Hour Cost Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Genevieve Saur (PI), Chris Ainscough (Presenter), Kevin Harrison, Todd Ramsden National Renewable Energy Laboratory January 17 th , 2013 This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Acknowledgements * This work was made possible by support from the U.S. Department of Energy's Fuel Cell Technologies Office within the Office of Energy Efficiency and Renewable Energy (EERE). http://www.eere.energy.gov/topics/hydrogen_fuel_cells.html * NREL would like to thank our DOE Technology Development Managers for this project, Sara Dillich, Eric Miller, Erika Sutherland, and David Peterson. * NREL would also like to acknowledge the indirect

212

A Robust and Optimal Anonymous Procedure for Condorcet’s Model*  

E-Print Network (OSTI)

In Condorcet’s model of information aggregation, a group of people decides among two alternatives, with each person getting an independent bit of evidence about which alternative is objectively superior. I define the “supermajority penalty ” (SP) procedure and show that it is incentive compatible for all possible preferences and prior beliefs and is in this sense completely robust. I also show that for an unbiased person, the SP procedure is the optimal anonymous incentive compatible procedure when there are significant biases in both directions (when at least one person is biased toward one alternative and at least one person is biased toward the other). The SP procedure is not monotonic, but this is not unusual: I show that when there are significant biases in both directions, all nontrivial anonymous incentive compatible procedures are non-monotonic.

Michael Suk-young Chwe

2008-01-01T23:59:59.000Z

213

Online Robot Dead Reckoning Localization Using Maximum Relative Entropy Optimization With Model Constraints  

SciTech Connect

The principle of Maximum relative Entropy optimization was analyzed for dead reckoning localization of a rigid body when observation data of two attached accelerometers was collected. Model constraints were derived from the relationships between the sensors. The experiment's results confirmed that accelerometers each axis' noise can be successfully filtered utilizing dependency between channels and the dependency between time series data. Dependency between channels was used for a priori calculation, and a posteriori distribution was derived utilizing dependency between time series data. There was revisited data of autocalibration experiment by removing the initial assumption that instantaneous rotation axis of a rigid body was known. Performance results confirmed that such an approach could be used for online dead reckoning localization.

Urniezius, Renaldas [Kaunas University of Technology, Kaunas (Lithuania)

2011-03-14T23:59:59.000Z

214

Modeling and Layout Optimization of VLSI Devices and Interconnects In Deep Submicron Design  

E-Print Network (OSTI)

. Jeppson, "CMOS Circuit Speed and Buffer Optimization," IEEE Trans. on Computer-Aided Design, 1987, pp. 270

Cong, Jason "Jingsheng"

215

Non-causal models in long term planning via set contractive optimal control methods  

Science Conference Proceedings (OSTI)

The notion of consistency for optimal plans introduced in [F.E. Kydland, E.C. Prescott, Rules rather than decisions: The inconsistency of optimal plans, J. Polit. Econ. 85 (3) (1977) 473-491] is studied in relation to dynamic programming and to multi-objective ... Keywords: Balance set, Long term optimal planning, Pareto solutions

E. A. Galperin; I. Galperin

2007-06-01T23:59:59.000Z

216

SMBO: A self-organizing model of marriage in honey-bee optimization  

Science Conference Proceedings (OSTI)

This paper proposes a novel swarm intelligence technique, which is an adaptation of Abbass's marriage in honey-bee optimization (MBO), with the aim to achieve better overall performance than the original version of the MBO while also lowering the computation ... Keywords: Artificial bee, Function optimization, Marriage in honey-bee optimization, Swarm intelligence

Arit Thammano; Patcharawadee Poolsamran

2012-04-01T23:59:59.000Z

217

Model to study the effect of workforce on a safety equipment and its optimization  

Science Conference Proceedings (OSTI)

Many industrial sectors are concerned on developing optimal maintenance planning because of the importance of maintenance on the economy and safety. Traditionally, the maintenance planning is formulated in terms of a multi-objective optimization problem ... Keywords: Availability, Maintainability, Particle Swarm Optimization, Reliability

S. Carlos; A. SáNchez; S. Martorell

2011-10-01T23:59:59.000Z

218

Model Calibration, Drainage Volume Calculation and Optimization in Heterogeneous Fractured Reservoirs  

E-Print Network (OSTI)

We propose a rigorous approach for well drainage volume calculations in gas reservoirs based on the flux field derived from dual porosity finite-difference simulation and demonstrate its application to optimize well placement. Our approach relies on a high frequency asymptotic solution of the diffusivity equation and emulates the propagation of a 'pressure front' in the reservoir along gas streamlines. The proposed approach is a generalization of the radius of drainage concept in well test analysis (Lee 1982), which allows us not only to compute rigorously the well drainage volumes as a function of time but also to examine the potential impact of infill wells on the drainage volumes of existing producers. Using these results, we present a systematic approach to optimize well placement to maximize the Estimated Ultimate Recovery. A history matching algorithm is proposed that sequentially calibrates reservoir parameters from the global-to-local scale considering parameter uncertainty and the resolution of the data. Parameter updates are constrained to the prior geologic heterogeneity and performed parsimoniously to the smallest spatial scales at which they can be resolved by the available data. In the first step of the workflow, Genetic Algorithm is used to assess the uncertainty in global parameters that influence field-scale flow behavior, specifically reservoir energy. To identify the reservoir volume over which each regional multiplier is applied, we have developed a novel approach to heterogeneity segmentation from spectral clustering theory. The proposed clustering can capture main feature of prior model by using second eigenvector of graph affinity matrix. In the second stage of the workflow, we parameterize the high-resolution heterogeneity in the spectral domain using the Grid Connectivity based Transform to severely compress the dimension of the calibration parameter set. The GCT implicitly imposes geological continuity and promotes minimal changes to each prior model in the ensemble during the calibration process. The field scale utility of the workflow is then demonstrated with the calibration of a model characterizing a structurally complex and highly fractured reservoir.

Kang, Suk Sang 1975-

2012-12-01T23:59:59.000Z

219

Design Optimization and Construction of the Thyratron/PFN Based Cost Model Modulator for the NLC  

SciTech Connect

As design studies and various R and D efforts continue on Next Linear Collider (NLC) systems, much R and D work is being done on X-Band klystron development, and development of pulse modulators to drive these X-Band klystrons. A workshop on this subject was held at SLAC in June of 1998, and a follow-up workshop is scheduled at SLAC June 23-25, 1999. At the 1998 workshop, several avenues of R and D were proposed using solid state switching, induction LINAC principles, high voltage hard tubes, and a few more esoteric ideas. An optimized version of the conventional thyratron-PFN-pulse transformer modulator for which there is extensive operating experience is also a strong candidate for use in the NLC. Such a modulator is currently under construction for base line demonstration purposes. The performance of this ''Cost Model'' modulator will be compared to other developing technologies. Important parameters including initial capital cost, operating maintenance cost, reliability, maintainability, power efficiency, in addition to the usual operating parameters of pulse flatness, timing and pulse height jitter, etc. will be considered in the choice of a modulator design for the NLC. This paper updates the progress on this ''Cost Model'' modulator design and construction.

Koontz, Roland F

1999-03-15T23:59:59.000Z

220

Power system simulation and optimization models for planning nuclear refueling cycles  

SciTech Connect

From Operation Research Society of America; San Diego, California, USA (12 Nov 1973). The mid-range system being modeled may include a mix of fossil, nuclear, hydro, pumped-storage, and peaking units. For any predetermined nuclear refueling schedule, the program (ORSIM) determines an approximately optical plan of operation for the system. This includes the determination of a maintenance schedule for the non-nuclear units and a schedule of energy delivery for each plant in the system. The criterion of optimality is the minimization of the total discounted operating cost of the system over the specified study period. Over this period, the model computes the expected station load factors, the loss of load probability and unserved energy for the system, and the production costs of operating so as to meet the forecasted loads on the system. The code takes account of variations and growth in demand over the planning horizon, occurrence of unit forced outages, planned shutdowns for nuclear refuelings, maintenance scheduling, allocations of fixed hydro and nuclear energies, and interactions between nuclear unit reloadings and fuel costs. 13 references. (auth)

Turnage, J.C.; Bennett, L.L.; Joy, D.S.; Prince, B.E.

1973-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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 and optimization of an adaptive dynamic load shedding using the ANFIS-PSO algorithm  

Science Conference Proceedings (OSTI)

This paper presents a new optimal adaptive dynamic load-shedding scheme for a large steelmaking industry with cogeneration units. The proposed method is based on the initial rate of a frequency change (df0/dt) and is coordinated with tie-lines frequency ... Keywords: adaptive network-based fuzzy inference system, artificial neural network, frequency stability, optimal load shedding, particle swarm optimization, under-frequency relays

Ghader Isazadeh; Rahmat-Allah Hooshmand; Amin Khodabakhshian

2012-02-01T23:59:59.000Z

222

Optimal evolutionary wind turbine placement in wind farms considering new models of shape, orography and wind speed simulation  

Science Conference Proceedings (OSTI)

In this paper we present a novel evolutionary algorithm for optimal positioning of wind turbines in wind farms. We consider a realistic model for the wind farm, which includes orography, shape of the wind farm, simulation of the wind speed and direction, ...

B. Saavedra-Moreno; S. Salcedo-Sanz; A. Paniagua-Tineo; J. Gascón-Moreno; J. A. Portilla-Figueras

2011-06-01T23:59:59.000Z

223

Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error Paul E. Johnson and David G . Long  

E-Print Network (OSTI)

Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error -Wind I Paul E. Johnson (which relates the wind to the normalized radar cross section, NRCS, of the ocean surface) is uncertainty in the NRCS for given wind conditions. When the estimated variability is in- cluded in the maximum likelihood

Long, David G.

224

Designing a cost-effective CO2 storage infrastructure using a GIS based linear optimization energy model  

Science Conference Proceedings (OSTI)

Large-scale deployment of carbon capture and storage needs a dedicated infrastructure. Planning and designing of this infrastructure require incorporation of both temporal and spatial aspects. In this study, a toolbox has been developed that integrates ... Keywords: CCS, CHP, CO2 capture transport and storage, Energy systems model, Ft, GIS, IGCC, Linear optimization, MARKAL, NGCC, O&M&M, PC

Machteld van den Broek; Evelien Brederode; Andrea Ramírez; Leslie Kramers; Muriel van der Kuip; Ton Wildenborg; Wim Turkenburg; André Faaij

2010-12-01T23:59:59.000Z

225

Parametric Optimization of Linear and Non-Linear Models via Parallel Computing to Enhance Web-Spatial DSS Interactivity  

Science Conference Proceedings (OSTI)

A web based Spatial Decision Support System web SDSS has been implemented in Thessaly, the most significant arable cropping region in Greece, to evaluate energy crop supply. The web SDSS uses an optimization module to support the decision process launching ... Keywords: Common Agricultural Policy CAP, Farm Model, Parallel Programming, Positive Mathematical Programming PMP, Spatial Decision Support Systems SDSS

D. Kremmydas; A. Petsakos; S. Rozakis

2012-01-01T23:59:59.000Z

226

Modeling and optimization of a thermosiphon for passive thermal management systems .  

E-Print Network (OSTI)

??An optimally designed thermosiphon for power electronics cooling is developed. There exists a need for augmented grid assets to facilitate power routing and decrease line… (more)

Loeffler, Benjamin Haile

2012-01-01T23:59:59.000Z

227

The development of multi-objective optimization model for excess bagasse utilization: A case study for Thailand  

Science Conference Proceedings (OSTI)

In this paper, a multi-objective optimization model is proposed as a tool to assist in deciding for the proper utilization scheme of excess bagasse produced in sugarcane industry. Two major scenarios for excess bagasse utilization are considered in the optimization. The first scenario is the typical situation when excess bagasse is used for the onsite electricity production. In case of the second scenario, excess bagasse is processed for the offsite ethanol production. Then the ethanol is blended with an octane rating of 91 gasoline by a portion of 10% and 90% by volume respectively and the mixture is used as alternative fuel for gasoline vehicles in Thailand. The model proposed in this paper called 'Environmental System Optimization' comprises the life cycle impact assessment of global warming potential (GWP) and the associated cost followed by the multi-objective optimization which facilitates in finding out the optimal proportion of the excess bagasse processed in each scenario. Basic mathematical expressions for indicating the GWP and cost of the entire process of excess bagasse utilization are taken into account in the model formulation and optimization. The outcome of this study is the methodology developed for decision-making concerning the excess bagasse utilization available in Thailand in view of the GWP and economic effects. A demonstration example is presented to illustrate the advantage of the methodology which may be used by the policy maker. The methodology developed is successfully performed to satisfy both environmental and economic objectives over the whole life cycle of the system. It is shown in the demonstration example that the first scenario results in positive GWP while the second scenario results in negative GWP. The combination of these two scenario results in positive or negative GWP depending on the preference of the weighting given to each objective. The results on economics of all scenarios show the satisfied outcomes.

Buddadee, Bancha [National Center of Excellence for Environmental and Hazardous Waste Management, Chulalongkorn University, Bangkok 10330 (Thailand)], E-mail: bancha_eng@yahoo.com; Wirojanagud, Wanpen [Research Center of Environmental and Hazardous Substance Management, Department of Environmental Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002 (Thailand)], E-mail: wanpen@kku.ac.th; Watts, Daniel J. [Center for Environmental Engineering and Science, New Jersey Institute of Technology, Newark, New Jersey 07102 (United States)], E-mail: daniel.watts@njit.edu; Pitakaso, Rapeepan [Department of Industrial Engineering, Faculty of Engineering, Ubonratchathani University, Ubonratchathani 34190 (Thailand)], E-mail: enrapepi@ubu.ac.th

2008-08-15T23:59:59.000Z

228

Optical modeling toward optimizing monitoring of intestinal perfusion in trauma patients  

Science Conference Proceedings (OSTI)

Trauma is the number one cause of death for people between the ages 1 and 44 years in the United States. In addition, according to the Centers of Disease Control and Prevention, injury results in over 31 million emergency department visits annually. Minimizing the resuscitation period in major abdominal injuries increases survival rates by correcting impaired tissue oxygen delivery. Optimization of resuscitation requires a monitoring method to determine sufficient tissue oxygenation. Oxygenation can be assessed by determining the adequacy of tissue perfusion. In this work, we present the design of a wireless perfusion and oxygenation sensor based on photoplethysmography. Through optical modeling, the benefit of using the visible wavelengths 470, 525 and 590nm (around the 525nm hemoglobin isobestic point) for intestinal perfusion monitoring is compared to the typical near infrared (NIR) wavelengths (805nm isobestic point) used in such sensors. Specifically, NIR wavelengths penetrate through the thin intestinal wall (~4mm) leading to high background signals. However, these visible wavelengths have two times shorter penetration depth that the NIR wavelengths. Monte-Carlo simulations show that the transmittance of the three selected wavelengths is lower by 5 orders of magnitude depending on the perfusion state. Due to the high absorbance of hemoglobin in the visible range, the perfusion signal carried by diffusely reflected light is also enhanced by an order of magnitude while oxygenation signal levels are maintained. In addition, short source-detector separations proved to be beneficial for limiting the probing depth to the thickness of the intestinal wall.

Akl, Tony [Texas A& M University; Wilson, Mark A. [University of Pittsburgh School of Medicine, Pittsburgh PA; Ericson, Milton Nance [ORNL; Cote, Gerard L. [Texas A& M University

2013-01-01T23:59:59.000Z

229

Modeling and optimization of geothermal power plants using the binary fluid cycle  

SciTech Connect

A computer simulation of a binary fluid cycle power plant for use with geothermal energy sources, and the subsequent optimization of this power plant type over a range of geothermal source conditions are described. The optimization technique employed for this analysis was based upon the principle of maximum use of geothermal energy.

Walter, R.A.

1976-09-01T23:59:59.000Z

230

Real world disassembly modeling and sequencing problem: Optimization by Algorithm of Self-Guided Ants (ASGA)  

Science Conference Proceedings (OSTI)

Decrease in product life along with the advent of stringent regulations and environmental consciousness have led to increased concern for methodological product recovery through disassembly operations. This research proposes a fuzzy disassembly optimization ... Keywords: Ant colony optimization, Disassembly, Fuzzy logic, Product recovery

Mukul Tripathi; Shubham Agrawal; Mayank Kumar Pandey; Ravi Shankar; M. K. Tiwari

2009-06-01T23:59:59.000Z

231

Modeling of a QoS Matching and Optimization Function for Multimedia Services in the NGN  

Science Conference Proceedings (OSTI)

A key challenge for Next Generation Networks (NGN) is providing support for the negotiation and dynamic adaptation of Quality of Service (QoS) parameters. In this paper we propose a novel QoS Matching and Optimization Function (Q-MOF) ... Keywords: QoS matching, QoS optimization, multimedia services, next generation network

Lea Skorin-Kapov; Maja Matijasevic

2009-10-01T23:59:59.000Z

232

Optimal wire sizing and buffer insertion for low power and a generalized delay model  

Science Conference Proceedings (OSTI)

We present efficient, optimal algorithms for timing optimization by discrete wire sizing and buffer insertion. Our algorithms are able to minimize dynamic power dissipation subject to given timing constraints. In addition, we compute the complete power-delay ... Keywords: Timing Optization, Elmore Delay, Dynamic Power Dissipation, Dynamic Programming, Signal Slew

John Lillis; Chung-Kuan Cheng; Ting-Ting Y. Lin

1995-12-01T23:59:59.000Z

233

Optimal allocation of policy limits and deductibles in a model with mixture risks and discount factors  

Science Conference Proceedings (OSTI)

By maximizing the expected utility, we study the optimal allocation of policy limits and deductibles from the viewpoint of a policyholder, where the dependence structure of losses is unknown. In Cheung (2007) [K.C. Cheung, Optimal allocation of policy ... Keywords: 49K30, 91B30, Comonotonicity, Conditional expectation, Hazard rate order, Likelihood ratio order, Loss frequency, Stochastic orders

Fengxia Hu; Rongming Wang

2010-09-01T23:59:59.000Z

234

OPAH a model for optimal design of multipurpose small hydropower plants  

Science Conference Proceedings (OSTI)

The investment in small hydropower plants requires the analysis of hydrological, technical, operational, budgetary, economical and financial aspects. The analysis of each possible configuration demands the joint action of several technicians, consuming ... Keywords: Design optimization, Economical and financial risk analysis, Multipurpose NLP optimization, Small hydropower

J. P. P. G. Lopes de Almeida; A. G. Henri Lejeune; J. A. A. Sá Marques; M. Conceição Cunha

2006-04-01T23:59:59.000Z

235

Modeling throughput sampling size for a cloud-hosted data scheduling and optimization service  

Science Conference Proceedings (OSTI)

As big-data processing and analysis dominates the usage of the Cloud systems, the need for Cloud-hosted data scheduling and optimization services increases. One key component for such a service is to provide available bandwidth and achievable throughput ... Keywords: Distributed applications, Distributed systems, Network protocols, Optimization

Esma Yildirim, Jangyoung Kim, Tevfik Kosar

2013-09-01T23:59:59.000Z

236

Technology Optimization Process for Heavy Hybrid Electric Vehicle Systems Using Computational Models  

DOE Green Energy (OSTI)

We have developed a computer-based technology optimization process to define vehicle systems that meet specified goals and constraints using a minimum amount of resources. In this paper, we describe the technology optimization process, with a focus on technical target setting, and illustrate its use with a simple example.

OKeefe, M.; Walkowicz, K.; Hendricks, T.

2005-01-01T23:59:59.000Z

237

International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 6-8, 2012 -Bordeaux -France  

E-Print Network (OSTI)

the optimal dates of inspection. The lifetime of the system investigated in (Tadikamalla, 1979) follows by sequential inspections. According to statistical knowledge of degradation level, a preventive maintenance is given. The objective of the inspection and maintenance policy is to find an optimal vector of inspection

Paris-Sud XI, Université de

238

Inference of the optimal pretarget electron beam parameters in a Monte Carlo virtual linac model through simulated annealing  

Science Conference Proceedings (OSTI)

The purpose of this study was to develop an efficient method to determine the optimal intensity distribution of the pretarget electron beam in a Monte Carlo (MC) accelerator model able to most accurately reproduce a set of measured photon field profiles for a given accelerator geometry and nominal photon beam energy. The method has the ability to reduce the number of simulations required to commission a MC accelerator model and has achieved better agreement with measurement than other methods described in literature. The method begins from a cylindrically symmetric pretarget electron beam (radius of 0.5 cm) of uniform intensity. This beam is subdivided into annular regions of fluence for which each region is individually transported through the accelerator head and into a water phantom. A simulated annealing search is then performed to determine the optimal combination of weights of the annular fluences that provide a best match between the measured dose distributions and the weighted sum of annular dose distributions for particular pretarget electron energy. When restricted to Gaussian intensity distributions, the optimization determined an optimal FWHM=1.34 mm for 18.0 MeV electrons, with a RMSE=0.49% on 40x40 cm{sup 2} lateral profiles. When allowed to deviate from Gaussian intensities a further reduction in RMSE was achieved. For our Clinac 21 EX accelerator MC model (based on the 1996 Varian Oncology Systems, Monte Carlo Project package), the optimal unrestricted intensity distribution was found to be a Gaussian-like solution (18.0 MeV, FWHM=1.10 mm, 40x40 cm{sup 2} profile, and RMSE=0.15%) with the presence of an extra focal halo contribution on the order of 10% of the maximum Gaussian intensity. Using the optimally derived intensity, 10x10 and 4x4 cm{sup 2} profiles were found to be in agreement with measurement with a maximum RMSE=0.49%. The optimized Gaussian and unrestricted values of the electron beam FWHM were both within the range of those inferred by focal spot image measurements performed by Jaffray et al.[''X-ray sources of medical linear accelerators: Focal and extra-focal radiation,'' Med. Phys. 20, 1417-1427 (1993)]. The inference of an extra focal pretarget electron component may be an indicator of a deficiency in the MC model and needs further investigation.

Bush, Karl; Zavgorodni, Sergei; Beckham, Wayne [Department of Physics and Astronomy, University of Victoria, P. O. Box 3055 STN CSC, Victoria, British Columbia V8W 3P6 (Canada); Department of Medical Physics, British Columbia Cancer Agency-Vancouver Island Center, Victoria, British Columbia V8R 6V5 (Canada) and Department of Physics and Astronomy, University of Victoria, Victoria, British Columbia V8R 6V5 (Canada)

2009-06-15T23:59:59.000Z

239

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

E-Print Network (OSTI)

The aim of this work is to extend the capital growth theory developed by Kelly, Breiman, Cover and others to asset market models with transaction costs. We define a natural generalization of the notion of a numeraire portfolio proposed by Long and show how such portfolios can be used for constructing growth-optimal investment strategies. The analysis is based on the classical von Neumann-Gale model of economic dynamics, a stochastic version of which we use as a framework for the modelling of financial markets with frictions.

Bahsoun, Wael; Taksar, Michael I

2009-01-01T23:59:59.000Z

240

Optimization models for joint airline pricing and seat inventory control : multiple products, multiple periods  

E-Print Network (OSTI)

Pricing and revenue management are two essential levers to optimize the sales of an airline's seat inventory and maximize revenues. Over the past few decades, they have generated a great deal of research but have typically ...

Cizaire, Claire (Claire Jia Ling)

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

Network-Level Reliability-Based Bridge Inspection, Maintenance and Replacement Optimization Model  

E-Print Network (OSTI)

maintenance and inspection, led to the development of bridge management systemsmaintenance and rehabilitation decisions. Experience with infrastructure management systemsManagement System (PMS) to optimize pavement rehabilitation expenditures has saved over $200 million in maintenance and

Robelin, Charles-Antoine; Madanat, S M

2006-01-01T23:59:59.000Z

242

Modeling and Optimization of Seawater Intrusion Barriers in Southern California Coastal Plain  

E-Print Network (OSTI)

Water Resources Planning and Management, ASCE, 114(2): Yeh,and W. W-G. Yeh. 2005. Optimization of Water distributionWater Resources Research 26(10): 2317-2329. April, 2006 Yeh

Yeh, William W-G.; Bray, Ben

2006-01-01T23:59:59.000Z

243

Model-Based Optimal Sensor Network Design for Condition Monitoring in an IGCC Plant  

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

Optimal Sensor Network Optimal Sensor Network Design for Condition Monitoring in an IGCC Plant Background The U.S. Department of Energy's National Energy Technology Laboratory (NETL) develops affordable and clean energy from coal and other fossil fuels to secure a sustainable energy economy. To further this mission, NETL funds research and development of advanced sensor and control technologies that can function under the extreme operating conditions often found in advanced power systems,

244

Integrated Multi-Well Reservoir and Decision Model to Determine Optimal Well Spacing in Unconventional Gas Reservoirs  

E-Print Network (OSTI)

Optimizing well spacing in unconventional gas reservoirs is difficult due to complex heterogeneity, large variability and uncertainty in reservoir properties, and lack of data that increase the production uncertainty. Previous methods are either suboptimal because they do not consider subsurface uncertainty (e.g., statistical moving-window methods) or they are too time-consuming and expensive for many operators (e.g., integrated reservoir characterization and simulation studies). This research has focused on developing and extending a new technology for determining optimal well spacing in tight gas reservoirs that maximize profitability. To achieve the research objectives, an integrated multi-well reservoir and decision model that fully incorporates uncertainty was developed. The reservoir model is based on reservoir simulation technology coupled with geostatistical and Monte Carlo methods to predict production performance in unconventional gas reservoirs as a function of well spacing and different development scenarios. The variability in discounted cumulative production was used for direct integration of the reservoir model with a Bayesian decision model (developed by other members of the research team) that determines the optimal well spacing and hence the optimal development strategy. The integrated model includes two development stages with a varying Stage-1 time span. The integrated tools were applied to an illustrative example in Deep Basin (Gething D) tight gas sands in Alberta, Canada, to determine optimal development strategies. The results showed that a Stage-1 length of 1 year starting at 160-acre spacing with no further downspacing is the optimal development policy. It also showed that extending the duration of Stage 1 beyond one year does not represent an economic benefit. These results are specific to the Berland River (Gething) area and should not be generalized to other unconventional gas reservoirs. However, the proposed technology provides insight into both the value of information and the ability to incorporate learning in a dynamic development strategy. The new technology is expected to help operators determine the combination of primary and secondary development policies early in the reservoir life that profitably maximize production and minimize the number of uneconomical wells. I anticipate that this methodology will be applicable to other tight and shale gas reservoirs.

Ortiz Prada, Rubiel Paul

2010-12-01T23:59:59.000Z

245

Shape Optimization for Navier-Stokes Equations with Algebraic Turbulence Model: Numerical Analysis and Computation  

SciTech Connect

We study the shape optimization problem for the paper machine headbox which distributes a mixture of water and wood fibers in the paper making process. The aim is to find a shape which a priori ensures the given velocity profile on the outlet part. The mathematical formulation leads to the optimal control problem in which the control variable is the shape of the domain representing the header, the state problem is represented by the generalized Navier-Stokes system with nontrivial boundary conditions. This paper deals with numerical aspects of the problem.

Haslinger, Jaroslav, E-mail: hasling@karlin.mff.cuni.cz [Charles University, Department of Numerical Mathematics, Faculty of Mathematics and Physics (Czech Republic); Stebel, Jan, E-mail: stebel@math.cas.cz [Academy of Sciences of the Czech Republic, Institute of Mathematics (Czech Republic)

2011-04-15T23:59:59.000Z

246

Optimization Online - All Areas Submissions - October 2013  

E-Print Network (OSTI)

All Areas Submissions - October 2013. Network Optimization Optimization Models for Differentiating Quality of Service Levels in Probabilistic Network Capacity ...

247

Optimization Online  

E-Print Network (OSTI)

NEOS Optimization Server · NEOS Optimization Guide · Linear Programming FAQ · Nonlinear Programming FAQ · Mathematical Programming Glossary ...

248

A generalized multistage optimization modeling framework for life cycle assessment-based integrated solid waste management  

Science Conference Proceedings (OSTI)

Solid waste management (SWM) is an integral component of civil infrastructure and the global economy, and is a growing concern due to increases in population, urbanization, and economic development. In 2011, 1.3 billion metric tons of municipal solid ... Keywords: Decision support, Life cycle assessment, Multi-stage, Optimization, Solid waste

James W. Levis, Morton A. Barlaz, Joseph F. Decarolis, S. Ranji Ranjithan

2013-12-01T23:59:59.000Z

249

Fuzzy possibilistic modeling and sensitivity analysis for optimal fuel gas scheduling in refinery  

Science Conference Proceedings (OSTI)

In refinery, fuel gas which is continuously generated during the production process is one of the most important energy sources. Optimal scheduling of fuel gas system helps the refinery to achieve energy cost reduction and cleaner production. However, ... Keywords: Fuel gas, Fuzzy possibilistic programming, Marginal value analysis, Refinery, Scheduling, Sensitivity analysis

J. D. Zhang; G. Rong

2010-04-01T23:59:59.000Z

250

An Optimization Model for Locating and Sizing Emergency Medical Service Stations  

Science Conference Proceedings (OSTI)

Emergency medical services (EMS) play a crucial role in the overall quality and performance of health services. The performance of these systems heavily depends on operational success of emergency services in which emergency vehicles, medical personnel ... Keywords: Emergency medical services, Location problems, Optimization, Resource allocation

Nusin Coskun; Rizvan Erol

2010-02-01T23:59:59.000Z

251

GA-SVM feasibility model and optimization kernel applied to analog IC design automation  

Science Conference Proceedings (OSTI)

An efficient use of macromodeling techniques is pointed out as an effective approach to improve the convergence and speed of the optimization process. The methodology presented in this paper is based on a learning scheme using Support Vector Machines(SVMs) ... Keywords: analog integrated circuit synthesis, genetic algorithms, support vector machines

Manuel Barros; Jorge Guilherme; Nuno Horta

2007-03-01T23:59:59.000Z

252

System reliability prediction model based on evidential reasoning algorithm with nonlinear optimization  

Science Conference Proceedings (OSTI)

In this paper, a novel reliability prediction technique based on the evidential reasoning (ER) algorithm is developed and applied to forecast reliability in turbocharger engine systems. The focus of this study is to examine the feasibility and validity ... Keywords: Evidential reasoning, Forecasting, Nonlinear optimization, Reliability

Chang-Hua Hu; Xiao-Sheng Si; Jian-Bo Yang

2010-03-01T23:59:59.000Z

253

Economic Nonlinear Model Predictive Control for the Optimization of Gas Pipeline Networks  

E-Print Network (OSTI)

% Electric power generation. Wide scope for optimization 1 Production - Well placement to maximize recovery, production scheduling. Transportation - Network design, compressor location, fuel usage minimization Market Electricity Pricing Electricity Pricing Compressors can run either by 7 Combustion of a part of the natural

Grossmann, Ignacio E.

254

Prudhoe Bay Oil Production Optimization: Using Virtual intelligence Techniques, Stage One: Neural Model Building  

E-Print Network (OSTI)

SPE 77659 Prudhoe Bay Oil Production Optimization: Using Virtual intelligence Techniques, Stage One Exploration (Alaska) and Carl D. Sisk SPE, BP Exploration Copyright 2002, Society of Petroleum Engineers Inc, TX 75083-3836, U.S.A., fax 01-972-952-9435. Abstract Field data from the Prudhoe Bay oil field

Mohaghegh, Shahab

255

Heterogeneous particle swarm optimizers  

Science Conference Proceedings (OSTI)

Particle swarm optimization (PSO) is a swarm intelligence technique originally inspired by models of flocking and of social influence that assumed homogeneous individuals. During its evolution to become a practical optimization tool, some heterogeneous ...

Marco A. Montes De Oca; Jorge Peña; Thomas Stützle; Carlo Pinciroli; Marco Dorigo

2009-05-01T23:59:59.000Z

256

A mixed-integer linear optimization model for local energy system planning based on simplex and branch-and-bound algorithms  

Science Conference Proceedings (OSTI)

A Mixed-integer linear optimization model is developed to support the decision making for the sustainable use of energy in the local area. It details exploitation of primary energy sources, electrical and thermal generation, enduse sectors and emissions. ... Keywords: branch-and-bound algorithm, local energy system, low-carbon society, mixed-integer linear optimization, simplex algorithm

Hongbo Ren; Weisheng Zhou; Weijun Gao; Qiong Wu

2010-09-01T23:59:59.000Z

257

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

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

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

258

E-AMOM: An Energy-Aware Modeling and Optimization Methodology for Scientific Applications on Multicore Systems  

E-Print Network (OSTI)

Power consumption is an important constraint in achieving efficient execution on High Performance Computing Multicore Systems. As the number of cores available on a chip continues to increase, the importance of power consumption will continue to grow. In order to achieve improved performance on multicore systems scientific applications must make use of efficient methods for reducing power consumption and must further be refined to achieve reduced execution time. In this dissertation, we introduce a performance modeling framework, E-AMOM, to enable improved execution of scientific applications on parallel multicore systems with regards to a limited power budget. We develop models for each application based upon performance hardware counters. Our models utilize different performance counters for each application and for each performance component (runtime, system power consumption, CPU power consumption, and memory power consumption) that are selected via our performance-tuned principal component analysis method. Models developed through E-AMOM provide insight into the performance characteristics of each application that affect performance for each component on a parallel multicore system. Our models are more than 92% accurate across both Hybrid (MPI/OpenMP) and MPI implementations for six scientific applications. E-AMOM includes an optimization component that utilizes our models to employ run-time Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Concurrency Throttling to reduce power consumption of the scientific applications. Further, we optimize our applications based upon insights provided by the performance models to reduce runtime of the applications. Our methods and techniques are able to save up to 18% in energy consumption for Hybrid (MPI/OpenMP) and MPI scientific applications and reduce the runtime of the applications up to 11% on parallel multicore systems.

Lively, Charles

2012-05-01T23:59:59.000Z

259

The Ocean–Land–Atmosphere Model: Optimization and Evaluation of Simulated Radiative Fluxes and Precipitation  

Science Conference Proceedings (OSTI)

This work continues the presentation and evaluation of the Ocean–Land–Atmosphere Model (OLAM), focusing on the model’s ability to represent radiation and precipitation. OLAM is a new, state-of-the-art earth system model, capable of user-specified ...

David Medvigy; Robert L. Walko; Martin J. Otte; Roni Avissar

2010-05-01T23:59:59.000Z

260

Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective  

Science Conference Proceedings (OSTI)

One of the purposes of Systems Biology is the quantitative modeling of biochemical networks. In this effort, the use of dynamical mathematical models provides for powerful tools in the prediction of the phenotypical behavior of microorganisms under distinct ...

Pedro Evangelista; Isabel Rocha; Eugénio C. Ferreira; Miguel Rocha

2009-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

Web based portfolio optimization  

Science Conference Proceedings (OSTI)

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

Todor Stoilov; Krasimira Stoilova

2009-06-01T23:59:59.000Z

262

Cost optimization of a hybrid composite flywheel rotor with a split-type hub using combined analytical/numerical models  

Science Conference Proceedings (OSTI)

A procedure to find the optimal design of a flywheel with a split-type hub is presented. Since cost plays a decisive role in stationary flywheel energy storage applications, a trade-off between energy and cost is required. Applying a scaling technique, ... Keywords: Cost optimization, Flywheel energy storage, Flywheel rotors, Multifidelity optimization, Split-type hub, Surrogate-based optimization

Malte Krack; Marc Secanell; Pierre Mertiny

2011-07-01T23:59:59.000Z

263

Portfolio Optimization with Stochastic Dominance Constraints  

E-Print Network (OSTI)

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

264

Optimization Online - StAMPL: A Filtration-Oriented Modeling Tool ...  

E-Print Network (OSTI)

Dec 26, 2006 ... Using this approach, we are able to represent models in a very clean, simple, and scalable format, while maintaining almost all the power of the ...

265

Numerical Modeling of Heat Pipe Radiator and Fin Size Optimization for Low and No Gravity Environments.  

E-Print Network (OSTI)

??A heat-pipe radiator element has been designed and modeled to study the efficiency of heat transfer for low and no gravity environments, like in lunar… (more)

Bieger, Virginia Ruth

2013-01-01T23:59:59.000Z

266

Modeling and Optimization of PEMFC Systems and its Application to Direct Hydrogen Fuel Cell Vehicles  

E-Print Network (OSTI)

Polymer Electrolyte Fuel Cell Model, J. Electrochem. Soc. ,in Polymer Electrolyte Fuel Cells, J. Electrochem. Soc. ,Solid-Polymer- Electrolyte Fuel Cell, J. Electrochem. Soc. ,

Zhao, Hengbing; Burke, Andy

2008-01-01T23:59:59.000Z

267

Application note: Parallelization and optimization of spatial analysis for large scale environmental model data assembly  

Science Conference Proceedings (OSTI)

Spatial-temporal modelling of environmental systems such as agriculture, forestry, and water resources requires high resolution input data. Assembling and summarizing this data in the appropriate format for model input often requires a series of spatial ... Keywords: Array-based algorithm, Climate data, GIS, High-performance computing, Zonal statistics

Gang Zhao; Brett A. Bryan; Darran King; Xiaodong Song; Qiang Yu

2012-11-01T23:59:59.000Z

268

Global optimization method for combined spherical-cylindrical wrapping in musculoskeletal upper limb modelling  

Science Conference Proceedings (OSTI)

In musculoskeletal modelling, many muscles cannot be represented as straight lines from origin to insertion because the bony and musculotendinous morphology of neighboring structures causes them to wrap. The majority of these passive structures can be ... Keywords: Deltoid, Muscle wrapping, Musculoskeletal modelling

A. Audenaert; E. Audenaert

2008-10-01T23:59:59.000Z

269

Optimal Policies and Approximations for a Bayesian Linear Regression Inventory Model  

Science Conference Proceedings (OSTI)

In this paper, we consider a periodic review inventory problem where demand in each period is modeled by linear regression. We use a Bayesian formulation to update the regression parameters as new information becomes available. We find that a state-dependent ... Keywords: Bayesian regression, approximations heuristics, inventory production, stochastic models

Katy S. Azoury; Julia Miyaoka

2009-05-01T23:59:59.000Z

270

Optimization of Parameters of the Chemic Kinetic Model by Improved Genetic Algorithms  

Science Conference Proceedings (OSTI)

Detailed kinetic model is one of the most important basic research items that the chemic synthesis techniques will have been commercialized from laboratory. A great breakthrough has been made in the detailed mechanistic kinetics of the chemic synthesis, ... Keywords: Genetic Algorithm, kinetic model, parameter

Rui-feng Han; Yu-li Yang; Yong-kui Zhang

2009-01-01T23:59:59.000Z

271

Environmental & economical optimization for municipal solid waste collection problems, a modeling and algorithmic approach case study  

Science Conference Proceedings (OSTI)

Increasing environmental concerns and interests in material and energy conservation have lead to increasing advancement in the management of solid waste over the past two decades. The field of modeling of waste management system, as opposed to the modeling ... Keywords: CO2 emission, MSW collection and routing, MSW costs analysis, network design

F. Rhoma; Z. Zhang; Y. Luo; B. Noche

2010-05-01T23:59:59.000Z

272

Bootstrapping a hop-optimal network in the weak sensor model  

Science Conference Proceedings (OSTI)

Sensor nodes are very weak computers that get distributed at random on a surface. Once deployed, they must wake up and form a radio network. Sensor network bootstrapping research thus has three parts: One must model the restrictions on sensor nodes; ... Keywords: Ad hoc network, contention resolution, maximal independent set, radio network, random geometric graphs, sensor network, weak sensor model

Martin Farach-Colton; Rohan J. Fernandes; Miguel A. Mosteiro

2009-10-01T23:59:59.000Z

273

Implications of a Regime-Switching Model on Natural Gas Storage Valuation and Optimal Operation  

E-Print Network (OSTI)

approximate the seasonality trend in the futures price data. Meanwhile, the table reveals a strong annual-switching model for the risk adjusted natural gas spot price and study the implications of the model) to solve the gas storage pricing problem, essentially a stochastic control problem, and conduct

Forsyth, Peter A.

274

A model for optimizing file access patterns using spatio-temporal parallelism  

Science Conference Proceedings (OSTI)

For many years now, I/O read time has been recognized as the primary bottleneck for parallel visualization and analysis of large-scale data. In this paper, we introduce a model that can estimate the read time for a file stored in a parallel filesystem ... Keywords: I/O, data analysis, modeling, parallel techniques, visualization

Boonthanome Nouanesengsy, John Patchett, James Ahrens, Andrew Bauer, Aashish Chaudhary, Ross Miller, Berk Geveci, Galen M. Shipman, Dean N. Williams

2013-11-01T23:59:59.000Z

275

Probabilistic versus possibilistic risk assessment models for optimal service level agreements in grid computing  

Science Conference Proceedings (OSTI)

We present a probabilistic and a possibilistic model for assessing the risk of a service level agreement for a computing task in a cluster/grid environment. These models can also be applied to cloud computing. Using the predictive probabilistic approach ... Keywords: Grid and cloud computing, Predictive possibilities, Predictive probabilities, Service level agreement (SLA)

Christer Carlsson; Robert Fullér

2013-03-01T23:59:59.000Z

276

Nearly optimal bounds for distributed wireless scheduling in the SINR model  

Science Conference Proceedings (OSTI)

We study the wireless scheduling problem in the physically realistic SINR model. More specifically: we are given a set of n links, each a sender-receiver pair. We would like to schedule the links using the minimum number of slots, using the SINR ... Keywords: SINR model, distributed scheduling, wireless networks

Magnús M. Halldórsson; Pradipta Mitra

2011-07-01T23:59:59.000Z

277

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

278

Adaptive design optimization: A mutual information-based approach to model discrimination in cognitive science  

Science Conference Proceedings (OSTI)

Discriminating among competing statistical models is a pressing issue for many experimentalists in the field of cognitive science. Resolving this issue begins with designing maximally informative experiments. To this end, the problem to be solved in ...

Daniel R. Cavagnaro; Jay I. Myung; Mark A. Pitt; Janne V. Kujala

2010-04-01T23:59:59.000Z

279

Solution of Nonlinear Finite Difference Ocean Models by Optimization Methods with Sensitivity and Observational Strategy Analysis  

Science Conference Proceedings (OSTI)

Dynamical models driven by “observed” forcing fields (e.g., the wind) have a true solution uncertainty owing to observational errors in the driving. This uncertainty is usually hidden from view because conventional numerical methods do not easily ...

Jens Schröter; Carl Wunsch

1986-11-01T23:59:59.000Z

280

Optimization under moment, robust, and data-driven models of uncertainty  

E-Print Network (OSTI)

We study the problem of moments and present two diverse applications that apply both the hierarchy of moment relaxation and the moment duality theory. We then propose a moment-based uncertainty model for stochastic ...

Doan, Xuan Vinh

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

Model-constrained optimization methods for reduction of parameterized large-scale systems  

E-Print Network (OSTI)

Most model reduction techniques employ a projection framework that utilizes a reduced-space basis. The basis is usually formed as the span of a set of solutions of the large-scale system, which are computed for selected ...

Bui-Thanh, Tan

2007-01-01T23:59:59.000Z

282

Optimization Online - Augmented L1 and Nuclear-Norm Models with ...  

E-Print Network (OSTI)

Jan 22, 2012 ... Augmented L1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm. Ming-Jun Lai (mjlai ***at*** math.uga.edu) Wotao Yin ...

283

Modeling and sensitivity analysis of aircraft geometry for multidisciplinary optimization problems  

E-Print Network (OSTI)

A new geometry management paradigm for aircraft design utilizes Computer Aided Design (CAD) systems as the source for consistent geometry models across design phases and analysis tools. Yet various challenges inhibit the ...

Lazzara, David S. (David Sergio), 1980-

2012-01-01T23:59:59.000Z

284

An Integrated Approach to Coal Gasifier Testing, Modeling, and Process Optimization  

SciTech Connect

Gasification is an important method of converting coal into clean burning fuels and high-value industrial chemicals. However, gasifier reliability can be severely limited by rapid degradation of the refractory lining in hot-wall gasifiers. The Pacific Northwest National Laboratory (PNNL) is performing multidisciplinary research to provide the experimental data and the engineering models needed to control gasifier operation for extended refractory life. Our experimental program includes prediction of slag viscosity using empirical viscosity models encompassing US coals, characterization of selected slag-refractory interaction including transport of slag/refractory components at the slag-refractory interface, and measurement of slag penetration into refractories as a function of time and temperature. The experimental data is used in slag flow, slag penetration, and refractory damage models to predict the operating temperature limits for increased refractory life. A simplified entrained flow gasifier model is also being developed to simulate one-dimensional axial flow with average axial velocity, coal devolatilization, and combustion kinetics. Combining the slag flow, refractory degradation, and gasifier models will provide a powerful tool to predict the coal and oxidant feed rates and control the gasifier operation to balance coal conversion efficiency with increased refractory life. A research scale gasifier has also been constructed at PNNL to provide syngas for coal conversion and carbon sequestration research, and also valuable datasets on operating conditions for validating the modeling results.

Sundaram, S. K.; Johnson, Kenneth I.; Matyas, Josef; Williford, Ralph E.; Pilli, Siva Prasad; Korolev, Vladimir N.

2009-10-01T23:59:59.000Z

285

Optimizing Patterns of Land Use to Reduce Peak Runoff Flow and Nonpoint Source Pollution with an Integrated Hydrological and Land-Use Model  

Science Conference Proceedings (OSTI)

The goal of this study is to develop and apply a methodology for delineating optimal land-use patterns that minimize peak runoff flow at watershed outlets by coupling a hydrological model and a land-use model. Under the assumption supported in ...

In-Young Yeo; Steven I. Gordon; Jean-Michel Guldmann

2004-05-01T23:59:59.000Z

286

Estimation of the Cressman Term for a Barotropic Model through Optimization with Use of the Adjoint Model  

Science Conference Proceedings (OSTI)

This paper presents an estimate of the Cressman term that appears in the divergent barotropic model as a corrector of planetary-wave retrogression. In contrast with earlier studies, the term varies as a function of geographical location. The ...

Juhani Rinne; Heikki Järvinen

1993-03-01T23:59:59.000Z

287

Optimizing future imaging survey of galaxies to confront dark energy and modified gravity models  

E-Print Network (OSTI)

We consider the extent to which future imaging surveys of galaxies can distinguish between dark energy and modified gravity models for the origin of the cosmic acceleration. Dynamical dark energy models may have similar expansion rates as models of modified gravity, yet predict different growth of structure histories. We parameterize the cosmic expansion by the two parameters, $w_0$ and $w_a$, and the linear growth rate of density fluctuations by Linder's $\\gamma$, independently. Dark energy models generically predict $\\gamma \\approx 0.55$, while the DGP model $\\gamma \\approx 0.68$. To determine if future imaging surveys can constrain $\\gamma$ within 20 percent (or $\\Delta\\gamma<0.1$), we perform the Fisher matrix analysis for a weak lensing survey such as the on-going Hyper Suprime-Cam (HSC) project. Under the condition that the total observation time is fixed, we compute the Figure of Merit (FoM) as a function of the exposure time $\\texp$. We find that the tomography technique effectively improves the FoM, which has a broad peak around $\\texp\\simeq {\\rm several}\\sim 10$ minutes; a shallow and wide survey is preferred to constrain the $\\gamma$ parameter. While $\\Delta\\gamma < 0.1$ cannot be achieved by the HSC weak-lensing survey alone, one can improve the constraints by combining with a follow-up spectroscopic survey like WFMOS and/or future CMB observations.

Kazuhiro Yamamoto; David Parkinson; Takashi Hamana; Robert C. Nichol; Yasushi Suto

2007-04-23T23:59:59.000Z

288

Optimization of steady-state and hybrid operations in a tokamak fusion reactor by using divertor scaling models  

SciTech Connect

Steady-state and hybrid-mode operation of a tokamak fusion reactor is investigated by power balance calculations, and operation points are optimized with respect to divertor heat load. The dependence of the divertor heat load on a variety of models is also discussed. Several schemes to reduce the heat load are investigated, and the goal of physics research and development is clarified. Hybrid-mode operation appears to be suitable for technology testing, which requires a long burn time and a high neutron wall load. The divertor heat load can be reduced to the ignition-mode level without impurity seeding if the energy confinement is enhanced by 10%. The relation between the divertor heat load and the controllability of the current profile, that is, the fraction of the beam-driven current, is also discussed. 9 refs., 17 figs., 4 tabs.

Murakami, Yoshiki; Sugihara, Masayoshi (Japan Atomic Energy Research Institute, Naka-machi (Japan))

1993-12-01T23:59:59.000Z

289

Performance modeling and optimization of a high energy colliding beam simulation code  

Science Conference Proceedings (OSTI)

An accurate modeling of the beam-beam interaction is essential to maximizing the luminosity in existing and future colliders. BeamBeam3D was the first parallel code that can be used to study this interaction fully self-consistently on high-performance ...

Hongzhang Shan; Erich Strohmaier; Ji Qiang; David H. Bailey; Kathy Yelick

2006-11-01T23:59:59.000Z

290

Modeling and optimization for the joint replenishment and delivery problem with heterogeneous items  

Science Conference Proceedings (OSTI)

In the real world, some heterogeneous items are prohibited from being transported together or penalty cost occurs when transporting them together. This paper firstly proposes the joint replenishment and delivery (JRD) model where a warehouse procures ... Keywords: Adaptive hybrid differential evolution, Delivery, Genetic algorithm, Heterogeneous items, Joint replenishment

Hui Qu, Lin Wang, Yu-Rong Zeng

2013-12-01T23:59:59.000Z

291

An integrated approach to coal gasifier testing, modeling, and process optimization  

Science Conference Proceedings (OSTI)

Gasification is an important method of converting coal into clean-burning fuels and high-value industrial chemicals. However, gasifier reliability can be severely limited by rapid degradation of the refractory lining in hot-wall gasifiers. This paper describes an integrated approach to provide the experimental data and engineering models needed to better understand how to control gasifier operation for extended refractory life. The experimental program includes slag viscosity testing and measurement of slag penetration into refractories as a function of time and temperature. The experimental data is used in slag flow, slag penetration, and refractory damage models to predict the limits on operating temperature for increased refractory life. A simplified entrained flow gasifier model is also described to simulate one-dimensional axial flow with average axial velocity, coal devolatilization, and combustion kinetics. The goal of this experimental and model program is to predict coal and oxidant feed rates and to control the gasifier operation to balance coal conversion efficiency with increased refractory life. 26 refs., 7 figs., 3 tabs.

S.K. Sundaram; K.I. Johnson; J. Matyas; R.E. Williford; S.P. Pilli; V.N. Korolev [Pacific Northwest National Laboratory, Richland, WA (United States)

2009-09-15T23:59:59.000Z

292

Statistical Power and Performance Modeling for Optimizing the Energy Efficiency of Scientific Computing  

Science Conference Proceedings (OSTI)

High-performance computing (HPC) has become an indispensable resource in science and engineering, and it has oftentimes been referred to as the "thirdpillar" of science, along with theory and experimentation. Performance tuning is a key aspect in utilizing ... Keywords: energy-efficiency tuning, green supercomputing, regression modeling

Balaji Subramaniam; Wu-chun Feng

2010-12-01T23:59:59.000Z

293

Optimization strategies for discrete multi-material stiffness optimization  

Science Conference Proceedings (OSTI)

Design of composite laminated lay-ups are formulated as discrete multi-material selection problems. The design problem can be modeled as a non-convex mixed-integer optimization problem. Such problems are in general only solvable to global optimality ... Keywords: Integer optimization, Laminated composite materials, Optimal design, Sensitivity analysis, Solution strategies

Christian Frier Hvejsel; Erik Lund; Mathias Stolpe

2011-08-01T23:59:59.000Z

294

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

E-Print Network (OSTI)

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

de Lachapelle, David Morton

2010-01-01T23:59:59.000Z

295

Natural circulation steam generator model for optimal steam generator water level control  

SciTech Connect

Several authors have cited the control of steam generator water level as an important problem in the operation of pressurized water reactor plants. In this paper problems associated with steam generator water level control are identified, and advantages of modern estimation and control theory in dealing with these problems are discussed. A new state variable steam generator model and preliminary verification results using data from the loss of fluid test (LOFT) plant are also presented.

Feeley, J.J.

1979-06-01T23:59:59.000Z

296

Modeling and Simulation Optimization and Feasibility Studies for the Neutron Detection without Helium-3 Project  

Science Conference Proceedings (OSTI)

This report details the results of the modeling and simulation work accomplished for the ‘Neutron Detection without Helium-3’ project during the 2011 and 2012 fiscal years. The primary focus of the project is to investigate commercially available technologies that might be used in safeguards applications in the relatively near term. Other technologies that are being developed may be more applicable in the future, but are outside the scope of this study.

Ely, James H.; Siciliano, Edward R.; Swinhoe, Martyn T.; Lintereur, Azaree T.

2013-01-01T23:59:59.000Z

297

WaterTransport in PEM Fuel Cells: Advanced Modeling, Material Selection, Testing and Design Optimization  

Science Conference Proceedings (OSTI)

Water management in Proton Exchange Membrane, PEM, Fuel Cells is challenging because of the inherent conflicts between the requirements for efficient low and high power operation. Particularly at low powers, adequate water must be supplied to sufficiently humidify the membrane or protons will not move through it adequately and resistance losses will decrease the cell efficiency. At high power density operation, more water is produced at the cathode than is necessary for membrane hydration. This excess water must be removed effectively or it will accumulate in the Gas Diffusion Layers, GDLs, between the gas channels and catalysts, blocking diffusion paths for reactants to reach the catalysts and potentially flooding the electrode. As power density of the cells is increased, the challenges arising from water management are expected to become more difficult to overcome simply due to the increased rate of liquid water generation relative to fuel cell volume. Thus, effectively addressing water management based issues is a key challenge in successful application of PEMFC systems. In this project, CFDRC and our partners used a combination of experimental characterization, controlled experimental studies of important processes governing how water moves through the fuel cell materials, and detailed models and simulations to improve understanding of water management in operating hydrogen PEM fuel cells. The characterization studies provided key data that is used as inputs to all state-of-the-art models for commercially important GDL materials. Experimental studies and microscopic scale models of how water moves through the GDLs showed that the water follows preferential paths, not branching like a river, as it moves toward the surface of the material. Experimental studies and detailed models of water and airflow in fuel cells channels demonstrated that such models can be used as an effective design tool to reduce operating pressure drop in the channels and the associated costs and weight of blowers and pumps to force air and hydrogen gas through the fuel cell. Promising improvements to materials structure and surface treatments that can potentially aid in managing the distribution and removal of liquid water were developed; and improved steady-state and freeze-thaw performance was demonstrated for a fuel cell stack under the self-humidified operating conditions that are promising for stationary power generation with reduced operating costs.

J. Vernon Cole; Abhra Roy; Ashok Damle; Hari Dahr; Sanjiv Kumar; Kunal Jain; Ned Djilai

2012-10-02T23:59:59.000Z

298

DEVELOPMENT OF A KINETIC MODEL OF BOEHMITE DISSOLUTION IN CAUSTIC SOLUTIONS APPLIED TO OPTIMIZE HANFORD WASTE PROCESSING  

SciTech Connect

Boehmite (e.g., aluminum oxyhydroxide) is a major non-radioactive component in Hanford and Savannah River nuclear tank waste sludge. Boehmite dissolution from sludge using caustic at elevated temperatures is being planned at Hanford to minimize the mass of material disposed of as high-level waste (HLW) during operation of the Waste Treatment Plant (WTP). To more thoroughly understand the chemistry of this dissolution process, we have developed an empirical kinetic model for aluminate production due to boehmite dissolution. Application of this model to Hanford tank wastes would allow predictability and optimization of the caustic leaching of aluminum solids, potentially yielding significant improvements to overall processing time, disposal cost, and schedule. This report presents an empirical kinetic model that can be used to estimate the aluminate production from the leaching of boehmite in Hanford waste as a function of the following parameters: (1) hydroxide concentration; (2) temperature; (3) specific surface area of boehmite; (4) initial soluble aluminate plus gibbsite present in waste; (5) concentration of boehmite in the waste; and (6) (pre-fit) Arrhenius kinetic parameters. The model was fit to laboratory, non-radioactive (e.g. 'simulant boehmite') leaching results, providing best-fit values of the Arrhenius A-factor, A, and apparent activation energy, E{sub A}, of A = 5.0 x 10{sup 12} hour{sup -1} and E{sub A} = 90 kJ/mole. These parameters were then used to predict boehmite leaching behavior observed in previously reported actual waste leaching studies. Acceptable aluminate versus leaching time profiles were predicted for waste leaching data from both Hanford and Savannah River site studies.

DISSELKAMP RS

2011-01-06T23:59:59.000Z

299

Optimization and AMS Modeling for Design of an Electrostatic Vibration Energy Harvester’s Conditioning Circuit with an Auto-Adaptive Process to the External Vibration Changes  

E-Print Network (OSTI)

Abstract-This paper presents an analysis and system-level design of a capacitive harvester of vibration energy composed from a mechanical resonator, capacitive transducer and a conditioning circuit based on the BUCK DC-DC converter architecture. The goal of the study is to identify optimal power performance of the system, to understand the electromechanical coupling phenomena and to propose the optimal timing of switching between charge pump and flyback circuits. To achieve the study we provided a VHDL-AMS/ELDO mixed model based on physical equations describing the resonator and transducer operation. To test different algorithms of the switching, we developed a behavioral functional model of the switch commuting between the two operation phases. We demonstrated that to guarantee an optimal power generation, switching should be driven by the internal state of the circuit. This paper provides the keys of the underlying analysis and provides a basic algorithm of the switch “intelligent ” command. I.

Dimitri Galayko; Ayyaz Mahmood Paracha

2008-01-01T23:59:59.000Z

300

Energy optimization system  

DOE Patents (OSTI)

A system for optimizing customer utility usage in a utility network of customer sites, each having one or more utility devices, where customer site is communicated between each of the customer sites and an optimization server having software for optimizing customer utility usage over one or more networks, including private and public networks. A customer site model for each of the customer sites is generated based upon the customer site information, and the customer utility usage is optimized based upon the customer site information and the customer site model. The optimization server can be hosted by an external source or within the customer site. In addition, the optimization processing can be partitioned between the customer site and an external source.

Zhou, Zhi; de Bedout, Juan Manuel; Kern, John Michael; Biyik, Emrah; Chandra, Ramu Sharat

2013-01-22T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

Modeling and Optimization of Matrix Acidizing in Horizontal Wells in Carbonate Reservoirs  

E-Print Network (OSTI)

In this study, the optimum conditions for wormhole propagation in horizontal well carbonate acidizing was investigated numerically using a horizontal well acidizing simulator. The factors that affect the optimum conditions are rock mineralogy, acid concentration, temperature and acid flux in the formation. The work concentrated on the investigation of the acid flux. Analytical equations for injection rate schedule for different wormhole models. In carbonate acidizing, the existence of the optimum injection rate for wormhole propagation has been confirmed by many researchers for highly reactive acid/rock systems in linear core-flood experiments. There is, however, no reliable technique to translate the laboratory results to the field applications. It has also been observed that for radial flow regime in field acidizing treatments, there is no single value of acid injection rate for the optimum wormhole propagation. In addition, the optimum conditions are more difficult to achieve in matrix acidizing long horizontal wells. Therefore, the most efficient acid stimulation is only achieved with continuously increasing acid injection rates to always maintain the wormhole generation at the tip of the wormhole at its optimum conditions. Examples of acid treatments with the increasing rate schedules were compared to those of the single optimum injection rate and the maximum allowable rate. The comparison study showed that the increasing rate treatments had the longest wormhole penetration and, therefore, the least negative skin factor for the same amount of acid injected into the formations. A parametric study was conducted for the parameters that have the most significant effects on the wormhole propagation conditions such as injected acid volume, horizontal well length, acid concentration, and reservoir heterogeneity. The results showed that the optimum injection rate per unit length increases with increasing injected acid volume. And it was constant for scenarios with different lateral lengths for a given system of rock/ acid and injected volume. The study also indicated that for higher acid concentration the optimum injection rate was lower. It does exist for heterogeneous permeability formations. Field treatment data for horizontal wells in Middle East carbonate reservoirs were also analyzed for the validation of the numerical acidizing simulator.

Tran, Hau

2013-05-01T23:59:59.000Z

302

An expert system design for a crude oil distillation column with the neural networks model and the process optimization using genetic algorithm framework  

Science Conference Proceedings (OSTI)

In this study an expert system of a crude oil distillation column is designed to predict the unknown values of required product flow and temperature in required input feed characteristics. The system is also capable to optimize the distillation process ... Keywords: Distillation column, Expert system, Genetic algorithms, Neural networks model

S. Motlaghi; F. Jalali; M. Nili Ahmadabadi

2008-11-01T23:59:59.000Z

303

The use of capacitance-resistance models to optimize injection allocation and well location in water floods.  

E-Print Network (OSTI)

??Reservoir management strategies traditionally attempt to combine and balance complex geophysical, petrophysical, thermodynamic and economic factors to determine an optimal method to recover hydrocarbons from… (more)

Weber, Daniel Brent

2009-01-01T23:59:59.000Z

304

Comprehensive Energy Assessment: EE and RE Project Optimization Modeling for United States Pacific Command (USPACOM) American Recovery and Reinvestment Act (ARRA) FEMP Technical Assistance  

SciTech Connect

This report summarizes a study and corresponding model development conducted in support of the United States Pacific Command (USPACOM) as part of the Federal Energy Management Program (FEMP) American Reinvestment and Recovery Act (ARRA). This research was aimed at developing a mathematical programming framework and accompanying optimization methodology in order to simultaneously evaluate energy efficiency (EE) and renewable energy (RE) opportunities. Once developed, this research then demonstrated this methodology at a USPACOM installation - Camp H.M. Smith, Hawaii. We believe this is the first time such an integrated, joint EE and RE optimization methodology has been constructed and demonstrated.

Brigantic, Robert T.; Papatyi, Anthony F.; Perkins, Casey J.

2010-09-30T23:59:59.000Z

305

Application of stochastic optimization method for an urban corridor  

Science Conference Proceedings (OSTI)

This paper presents a stochastic traffic signal optimization method that consists of the CORSIM microscopic traffic simulation model and a heuristic optimizer. For the heuristic optimizer, the performance of three widely used optimization methods (i.e., ...

Ilsoo Yun; Byungkyu "Brian" Park

2006-12-01T23:59:59.000Z

306

Optimization Online - Optimal Design of Electrical Machines ...  

E-Print Network (OSTI)

Jun 8, 2011 ... Optimal Design of Electrical Machines: Mathematical Programming ... Science and Engineering (Multidisciplinary Design Optimization ).

307

Falling into time in Homer's 'Iliad'  

E-Print Network (OSTI)

of agelessness through ambrosia and nectar. As she argues,but the infusion of ambrosia and nectar works to hold back

Purves, A

2006-01-01T23:59:59.000Z

308

Building Energy Software Tools Directory: HOMER  

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

Tools by Country Australia Austria Belarus Belgium Brazil Canada Chile China Czech Republic Denmark Finland France Germany India Ireland Israel Italy Japan Netherlands New Zealand...

309

Decadal Predictability of the Atlantic Ocean in a Coupled GCM: Forecast Skill and Optimal Perturbations Using Linear Inverse Modeling  

Science Conference Proceedings (OSTI)

The decadal predictability of three-dimensional Atlantic Ocean anomalies is examined in a coupled global climate model [the third climate configuration of the Met Office Unified Model (HadCM3)] using a linear inverse modeling (LIM) approach. It ...

Ed Hawkins; Rowan Sutton

2009-07-01T23:59:59.000Z

310

Analysis of hybrid power system incorporating squirrel cage induction generators  

Science Conference Proceedings (OSTI)

This paper presents generic model of hybrid power system consisting in a combined solution one wind turbine with asynchronous generator and on hydro generator with synchronous machine. This technology was developed by to reduce the cost of supplying ... Keywords: asynchronous generator, homer, optimal design, renewable energy, variable speed generation, voltage and frequency controller, water flow

Sorin Ioan Deaconu; Marcel Topor; Gabriel Nicolae Popa; Diana Bistrian

2009-07-01T23:59:59.000Z

311

Optimal Coupling of Energy Infrastructures  

E-Print Network (OSTI)

This paper presents a framework for integrated modeling and optimization of energy systems with multiple energy carriers. Based on the concept of energy hubs, a generic steadystate model for describing conversion and storage of multiple energy carriers, such as electricity, natural gas, hydrogen, or district heating, is developed and used for system optimization. Besides operational optimization of energy flows, the optimal structure of the system is investigated. Mathematically, the problems are stated as (mixed-integer) nonlinear programming problems. An example demonstrates the use and potential applications of the proposed method and highlights its features.

M. Geidl; G. Andersson

2007-01-01T23:59:59.000Z

312

Hydraulic turbine governing system identification using T-S fuzzy model optimized by chaotic gravitational search algorithm  

Science Conference Proceedings (OSTI)

Hydraulic turbine governing system (HTGS) is a complicated nonlinear system that controls the frequency and power output of hydroelectric generating unit (HGU). The modeling of HTGS is an important and difficult task, because some components, like hydraulic ... Keywords: Chaotic gravitational search algorithm, Fuzzy c-regression model, Heuristic algorithms, Hydraulic turbine governing system, System identification, Takagi-Sugeno model

Chaoshun Li, Jianzhong Zhou, Jian Xiao, Han Xiao

2013-10-01T23:59:59.000Z

313

Heat pump simulation model and optimal variable-speed control for a wide range of cooling conditions  

E-Print Network (OSTI)

The steady-state air-to-air heat pump model presented in this thesis was developed from the first principles. The main objective was to develop a heat pump model that can be used as a part of larger simulation models, and ...

Zakula, Tea

2010-01-01T23:59:59.000Z

314

PII-56: Multi-Objective Optimization of Wrought Magnesium Alloy ...  

Science Conference Proceedings (OSTI)

Specifically, we have developed an integrated modeling and optimization framework in ... Model Validation for Microstructural Sensitivities Using High Energy ...

315

The Hydrogen Infrastructure Transition (HIT) Model and Its Application in Optimizing a 50-year Hydrogen Infrastructure for Urban Beijing  

E-Print Network (OSTI)

a Hydrogen Energy Infrastructure." Annual Review of EnergyZoia (2005). "Hydrogen infrastructure strategic planning06—05 The Hydrogen Infrastructure Transition Model (HIT) &

Lin, Zhenhong; Ogden, Joan M; Fan, Yueyue; Sperling, Dan

2006-01-01T23:59:59.000Z

316

The Hydrogen Infrastructure Transition Model (HIT) & Its Application in Optimizing a 50-year Hydrogen Infrastructure for Urban Beijing  

E-Print Network (OSTI)

a Hydrogen Energy Infrastructure." Annual Review of EnergyZoia (2005). "Hydrogen infrastructure strategic planning06—05 The Hydrogen Infrastructure Transition Model (HIT) &

Lin, Zhenhong; Ogden, J; Fan, Yueyue; Sperling, Dan

2006-01-01T23:59:59.000Z

317

Pathwise Optimization for Optimal Stopping Problems  

Science Conference Proceedings (OSTI)

We introduce the pathwise optimization (PO) method, a new convex optimization procedure to produce upper and lower bounds on the optimal value (the “price”) of a high-dimensional optimal stopping problem. The PO method builds on a dual characterization ... Keywords: American options, Bermudian options, dynamic programming, optimal control, optimal stopping

Vijay V. Desai; Vivek F. Farias; Ciamac C. Moallemi

2012-12-01T23:59:59.000Z

318

Rigorous Kinetic Modeling, Optimization, and Operability Studies of a Modified Claus Unit for an Integrated Gasification Combined Cycle (IGCC) Power Plant with CO{sub 2} Capture  

Science Conference Proceedings (OSTI)

The modified Claus process is one of the most common technologies for sulfur recovery from acid gas streams. Important design criteria for the Claus unit, when part of an Integrated Gasification Combined Cycle (IGCC) power plant, are the ability to destroy ammonia completely and the ability to recover sulfur thoroughly from a relatively low purity acid gas stream without sacrificing flame stability. Because of these criteria, modifications to the conventional process are often required, resulting in a modified Claus process. For the studies discussed here, these modifications include the use of a 95% pure oxygen stream as the oxidant, a split flow configuration, and the preheating of the feeds with the intermediate pressure steam generated in the waste heat boiler (WHB). In the future, for IGCC plants with CO{sub 2} capture, the Claus unit must satisfy emission standards without sacrificing the plant efficiency in the face of typical disturbances of an IGCC plant, such as rapid change in the feed flow rates due to load-following and wide changes in the feed composition because of changes in the coal feed to the gasifier. The Claus unit should be adequately designed and efficiently operated to satisfy these objectives. Even though the Claus process has been commercialized for decades, most papers concerned with the modeling of the Claus process treat the key reactions as equilibrium reactions. Such models are validated by manipulating the temperature approach to equilibrium for a set of steady-state operating data, but they are of limited use for dynamic studies. One of the objectives of this study is to develop a model that can be used for dynamic studies. In a Claus process, especially in the furnace and the WHB, many reactions may take place. In this work, a set of linearly independent reactions has been identified, and kinetic models of the furnace flame and anoxic zones, WHB, and catalytic reactors have been developed. To facilitate the modeling of the Claus furnace, a four-stage method was devised so as to determine which set of linearly independent reactions would best describe the product distributions from available plant data. Various approaches are taken to derive the kinetic rate expressions, which are either missing in the open literature or found to be inconsistent. A set of plant data is used for optimal estimation of the kinetic parameters. The final model agrees well with the published plant data. Using the developed kinetics models of the Claus reaction furnace, WHB, and catalytic stages, two optimization studies are carried out. The first study shows that there exists an optimal steam pressure generated in the WHB that balances hydrogen yield, oxygen demand, and power generation. In the second study, it is shown that an optimal H{sub 2}S/SO{sub 2} ratio exists that balances single-pass conversion, hydrogen yield, oxygen demand, and power generation. In addition, an operability study has been carried out to examine the operating envelope in which both the H{sub 2}S/SO{sub 2} ratio and the adiabatic flame temperature can be controlled in the face of disturbances typical for the operation of an IGCC power plant with CO{sub 2} capture. Impact of CO{sub 2} capture on the Claus process has also been discussed.

Jones, Dustin; Bhattacharyya, Debangsu; Turton, Richard; Zitney, Stephen E

2011-12-15T23:59:59.000Z

319

Rigorous Kinetic Modeling and Optimization Study of a Modified Claus Unit for an Integrated Gasification Combined Cycle (IGCC) Power Plant with CO{sub 2} Capture  

SciTech Connect

The modified Claus process is one of the most common technologies for sulfur recovery from acid gas streams. Important design criteria for the Claus unit, when part of an Integrated Gasification Combined Cycle (IGCC) power plant, are the ability to destroy ammonia completely and the ability to recover sulfur thoroughly from a relatively low purity acid gas stream without sacrificing flame stability. Because of these criteria, modifications to the conventional process are often required, resulting in a modified Claus process. For the studies discussed here, these modifications include the use of a 95% pure oxygen stream as the oxidant, a split flow configuration, and the preheating of the feeds with the intermediate pressure steam generated in the waste heat boiler (WHB). In the future, for IGCC plants with CO{sub 2} capture, the Claus unit must satisfy emission standards without sacrificing the plant efficiency in the face of typical disturbances of an IGCC plant, such as rapid change in the feed flow rates due to load-following and wide changes in the feed composition because of changes in the coal feed to the gasifier. The Claus unit should be adequately designed and efficiently operated to satisfy these objectives. Even though the Claus process has been commercialized for decades, most papers concerned with the modeling of the Claus process treat the key reactions as equilibrium reactions. Such models are validated by manipulating the temperature approach to equilibrium for a set of steady-state operating data, but they are of limited use for dynamic studies. One of the objectives of this study is to develop a model that can be used for dynamic studies. In a Claus process, especially in the furnace and the WHB, many reactions may take place. In this work, a set of linearly independent reactions has been identified, and kinetic models of the furnace flame and anoxic zones, WHB, and catalytic reactors have been developed. To facilitate the modeling of the Claus furnace, a four-stage method was devised so as to determine which set of linearly independent reactions would best describe the product distributions from available plant data. Various approaches are taken to derive the kinetic rate expressions, which are either missing in the open literature or found to be inconsistent. A set of plant data is used for optimal estimation of the kinetic parameters. The final model agrees well with the published plant data. Using the developed kinetics models of the Claus reaction furnace, WHB, and catalytic stages, two optimization studies are carried out. The first study shows that there exists an optimal steam pressure generated in the WHB that balances hydrogen yield, oxygen demand, and power generation. In the second study, it is shown that an optimal H{sub 2}S/SO{sub 2} ratio exists that balances single-pass conversion, hydrogen yield, oxygen demand, and power generation. In addition, an operability study has been carried out to examine the operating envelope in which both the H{sub 2}S/SO{sub 2} ratio and the adiabatic flame temperature can be controlled in the face of disturbances typical for the operation of an IGCC power plant with CO{sub 2} capture. Impact of CO{sub 2} capture on the Claus process has also been discussed.

Jones, Dustin; Bhattacharyya, Debangsu; Turton, Richard; Zitney, Stephen E.

2012-02-08T23:59:59.000Z

320

Modeling and optimization of a modified claus process as part of an integrted gasification combined cycle (IGCC) power plant with CO2 capture  

DOE Green Energy (OSTI)

The modified Claus process is one of the most common technologies for sulfur recovery from acid gas streams. Important design criteria for the Claus unit, when part of an Integrated Gasification Combined Cycle (IGCC) power plant, are the ability to destroy ammonia completely and recover sulfur thoroughly from a relatively low purity acid gas stream without sacrificing flame stability. Due to these criteria, modifications are often required to the conventional process, resulting in a modified Claus process. For the studies discussed here, these modifications include the use of a 95% pure oxygen stream as the oxidant, a split flow configuration, and the preheating of the feeds with the intermediate pressure steam generated in the waste heat boiler (WHB). In the future, for IGCC plants with CO2 capture, the Claus unit must satisfy emission standards without sacrificing the plant efficiency in the face of typical disturbances of an IGCC plant such as rapid change in the feed flowrates due to load-following and wide changes in the feed composition because of changes in the coal feed to the gasifier. The Claus unit should be adequately designed and efficiently operated to satisfy these objectives. Even though the Claus process has been commercialized for decades, most papers concerned with the modeling of the Claus process treat the key reactions as equilibrium reactions. Such models are validated by manipulating the temperature approach to equilibrium for a set of steady-state operating data, but are of limited use for dynamic studies. One of the objectives of this study is to develop a model that can be used for dynamic studies. In a Claus process, especially in the furnace and the WHB, many reactions may take place. In this work, a set of linearly independent reactions has been identified and kinetic models of the furnace flame and anoxic zones, WHB, and catalytic reactors have been developed. To facilitate the modeling of the Claus furnace, a four-stage method was devised so as to determine which set of linearly independent reactions would best describe the product distributions from available plant data. Various approaches are taken to derive the kinetic rate expressions which are either missing in the open literature or found to be inconsistent. A set of plant data is used for optimal estimation of the kinetic parameters. The final model agrees well with the published plant data. Using the developed kinetics models of the Claus reaction furnace, WHB, and catalytic stages, two optimization studies are carried out. The first study shows that there exists an optimal steam pressure generated in the WHB that balances hydrogen yield, oxygen demand, and power generation. In the second study, it is shown that an optimal H2S/SO2 ratio exists that balances single-pass conversion, hydrogen yield, oxygen demand, and power generation. In addition, an operability study has been carried out to examine the operating envelope in which both H2S/SO2 ratio and adiabatic flame temperature can be controlled in the face of disturbances typical for the operation of an IGCC power plant with CO2 capture. Impact of CO2 capture on the Claus process has also been discussed.

Jones, D.; Bhattacharyya, D.; Turton, R.; Zitney, S.

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" from the National Library of EnergyBeta (NLEBeta).
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321

A new hybrid for improvement of auto-regressive integrated moving average models applying particle swarm optimization  

Science Conference Proceedings (OSTI)

A time series forecasting is an active research applied significantly in a variety of economics areas. Over the past three decades an auto-regressive integrated moving average (ARIMA) model, as one of the most important time series models, has been applied ... Keywords: ARIMA, Forecasting, PSOARIMA

Shahrokh Asadi; Akbar Tavakoli; Seyed Reza Hejazi

2012-04-01T23:59:59.000Z

322

Cogeneration and community design: performance based model for optimization of the design of U.S. residential communities utilizing cogeneration systems in cold climates  

E-Print Network (OSTI)

The integration of cogeneration technologies in residential communities has the potential of reducing energy demand and harmful emissions. This study investigated the impact of selected design parameters on the environmental and economic performances of cogeneration systems integrated into residential communities in cold U.S. climates following a centralized or a decentralized integration approach. Parameters investigated include: 1) density, 2) use mix, 3) street configuration, 4) housing typology, 5) envelope and building systems' efficiencies, 6) renewable energy utilization, 7) cogeneration system type, 8) size, and 9) operation strategy. Based on this, combinations of design characteristics achieving an optimum system performance were identified. The study followed a two-phased mixed research model: first, studies of residential community design and three case studies of sustainable residential communities were analyzed to identify key design parameters; subsequently, simulation tools were utilized to assess the impact of each parameter on cogeneration system performance and to optimize the community design to improve that performance. Assessment procedures included: developing a base-line model representing typical design characteristics of U.S. residential communities; assessing the system performance within this model, for each integration approach, using three performance indicators: reduction in primary energy use, reduction in CO2 emissions; and internal rate of return; assessing the impact of each parameter on the system performance through developing 46 design variations of the base-line model representing changes in these parameters and calculating the three indicators for each variation; using a multi-attribute decision analysis methodology to evaluate the relative impact of each parameter on the system performance; and finally, developing two design optimization scenarios for each integration approach. Results show that, through design optimization, existing cogeneration technologies can be economically feasible and cause reductions of up to 18% in primary energy use and up to 42% in CO2 emissions, with the centralized approach offering a higher potential for performance improvements. A significant correlation also existed between design characteristics identified as favorable for cogeneration system performance and those of sustainable residential communities. These include high densities, high mix of uses, interconnected street networks, and mixing of housing typologies. This indicates the higher potential for integrating cogeneration systems in sustainable residential communities.

Rashed Ali Atta, Hazem Mohamed

2006-08-01T23:59:59.000Z

323

Optimal Surface Salinity Perturbations of the Meridional Overturning and Heat Transport in a Global Ocean General Circulation Model  

Science Conference Proceedings (OSTI)

Recent observations and modeling studies have stressed the influence of surface salinity perturbations on the North Atlantic circulation over the past few decades. As a step toward the estimation of the sensitivity of the thermohaline circulation ...

Florian Sévellec; Thierry Huck; Mahdi Ben Jelloul; Nicolas Grima; Jérôme Vialard; Anthony Weaver

2008-12-01T23:59:59.000Z

324

Plenary lecture 8: on the optimality of a general production lot size inventory models with variable parameters  

Science Conference Proceedings (OSTI)

A general production lot size dynamic inventory model with deteriorating items for which the rates of demand, production, deterioration as well as the cost parameters are arbitrary and known functions of time is considered in this paper. Shortages are ...

Zaid Balkhi

2009-06-01T23:59:59.000Z

325

Data Assimilation by Optimal Control Method in a 3D Coastal Oceanic Model: The Problem of Discretization  

Science Conference Proceedings (OSTI)

A methodology to proceed from the continuous to the discrete formulation of a control problem is described. The aim of a boundary control procedure is to identify boundary forcing to ensure the best fit between data and model results by ...

Jean-Michel Lellouche; Jean-Luc Devenon; Ivan Dekeyser

1998-04-01T23:59:59.000Z

326

Optimizing performance of ceramic pot filters in Northern Ghana and modeling flow through paraboloid-shaped filters/  

E-Print Network (OSTI)

This work aimed to inform the design of ceramic pot filters to be manufactured by the organization Pure Home Water (PHW) in Northern Ghana, and to model the flow through an innovative paraboloid-shaped ceramic pot filter. ...

Miller, Travis Reed

2010-01-01T23:59:59.000Z

327

Determining the optimal spatial distribution of weather station networks for hydrological modelling purposes using RCM datasets: An experimental approach  

Science Conference Proceedings (OSTI)

In many hydrological studies, the main limiting factor in model performance is the low meteorological data quality. In some cases, no meteorological records even exist. Installing weather stations becomes a necessity in these areas when water ...

Richard Arsenault; François Brissette

328

Optimization of a coupling scheme between MCNP5 and SUBCHANFLOW for high fidelity modeling of LWR reactors  

Science Conference Proceedings (OSTI)

In order to increase the accuracy and the degree of spatial resolution of core design studies, coupled Three-Dimensional (3D) neutronics (deterministic and Monte Carlo) and 3D thermal hydraulics (CFD and sub-channel) codes are being developed worldwide. In this paper the optimization of a coupling between MCNP5 code and an in-house development thermal-hydraulics code SUBCHANFLOW is presented. Various improvements of the coupling methodology are presented. With the help of novel interpolation tool a consistent methodology for the preparation of thermal scattering data library have been developed, ensuring that inelastic scattering from bound nuclei is treated at the correct moderator temperature. Trough the utilization of a hybrid coupling with discrete energy Monte-Carlo code KENO a methodology for acceleration of the coupled calculation is being demonstrated. In this approach an additional coupling between KENO and SUBCHANFLOW was developed, the converged results of which are used as initial conditions for the MCNP-SUBCHANFLOW coupling. Acceleration of fission source distribution convergence, by sampling fission source distribution from the power distribution obtained by KENO is also demonstrated. (authors)

Ivanov, A.; Sanchez, V.; Imke, U. [Karlsruhe Inst. of Technology, Inst. for Neutron Physics and Reactor Technology, Herman-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen (Germany); Ivanov, K. [Karlsruhe Inst. of Technology, Inst. for Neutron Physics and Reactor Technology, Herman-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen (Germany); Pennsylvania State Univ., Dept. of Mechanical and Nuclear Engineering, 206 Reber, Univ. Park, PA 16802 (United States)

2012-07-01T23:59:59.000Z

329

SEAMOPT - Stirling engine optimization code  

SciTech Connect

Experience is described with use of a fast-running Stirling engine optimization code developed at Argonne intended for public release. Stirling engine modeling is provided by the SEAM1 thermodynamic code. An interface was written to combine SEAM1 with a general optimization code and assess maximum component stress levels. Thus full engine thermodynamic and structural simulation is done during the optimization process. Several examples of the use of this code to optimize the GPU-3 engine are described. In one case efficiency was improved by over 25%.

Heames, T.J.; Daley, J.G.

1984-01-01T23:59:59.000Z

330

MathOptimizer: A nonlinear optimization package for Mathematica ...  

E-Print Network (OSTI)

introduce MathOptimizer's key features and discuss its usage options that support a ..... The option Samples determines the total number of sample points in each ..... and scientific fields such as numerical integration, potential energy models, ...

331

Optimization of a dual-energy contrast-enhanced technique for a photon-counting digital breast tomosynthesis system: I. A theoretical model  

SciTech Connect

Purpose: Dual-energy (DE) iodine contrast-enhanced x-ray imaging of the breast has been shown to identify cancers that would otherwise be mammographically occult. In this article, theoretical modeling was performed to obtain optimally enhanced iodine images for a photon-counting digital breast tomosynthesis (DBT) system using a DE acquisition technique. Methods: In the system examined, the breast is scanned with a multislit prepatient collimator aligned with a multidetector camera. Each detector collects a projection image at a unique angle during the scan. Low-energy (LE) and high-energy (HE) projection images are acquired simultaneously in a single scan by covering alternate collimator slits with Sn and Cu filters, respectively. Sn filters ranging from 0.08 to 0.22 mm thickness and Cu filters from 0.11 to 0.27 mm thickness were investigated. A tube voltage of 49 kV was selected. Tomographic images, hereafter referred to as DBT images, were reconstructed using a shift-and-add algorithm. Iodine-enhanced DBT images were acquired by performing a weighted logarithmic subtraction of the HE and LE DBT images. The DE technique was evaluated for 20-80 mm thick breasts. Weighting factors, w{sub t}, that optimally cancel breast tissue were computed. Signal-difference-to-noise ratios (SDNRs) between iodine-enhanced and nonenhanced breast tissue normalized to the square root of the mean glandular dose (MGD) were computed as a function of the fraction of the MGD allocated to the HE images. Peak SDNR/{radical}(MGD) and optimal dose allocations were identified. SDNR/{radical}(MGD) and dose allocations were computed for several practical feasible system configurations (i.e., determined by the number of collimator slits covered by Sn and Cu). A practical system configuration and Sn-Cu filter pair that accounts for the trade-off between SDNR, tube-output, and MGD were selected. Results: w{sub t} depends on the Sn-Cu filter combination used, as well as on the breast thickness; to optimally cancel 0% with 50% glandular breast tissue, w{sub t} values were found to range from 0.46 to 0.72 for all breast thicknesses and Sn-Cu filter pairs studied. The optimal w{sub t} values needed to cancel all possible breast tissue glandularites vary by less than 1% for 20 mm thick breasts and 18% for 80 mm breasts. The system configuration where one collimator slit covered by Sn is alternated with two collimator slits covered by Cu delivers SDNR/{radical}(MGD) nearest to the peak value. A reasonable compromise is a 0.16 mm Sn-0.23 mm Cu filter pair, resulting in SDNR values between 1.64 and 0.61 and MGD between 0.70 and 0.53 mGy for 20-80 mm thick breasts at the maximum tube current. Conclusions: A DE acquisition technique for a photon-counting DBT imaging system has been developed and optimized.

Carton, Ann-Katherine; Ullberg, Christer; Lindman, Karin; Acciavatti, Raymond; Francke, Tom; Maidment, Andrew D. A. [University of Pennsylvania, Philadelphia, Pennsylvania 19104 (United States); XCounter AB, Svaerdvaegen 11, SE-182 33 Danderyd (Sweden); University of Pennsylvania, Philadelphia, Pennsylvania 19104 (United States); XCounter AB, Svaerdvaegen 11, SE-182 33 Danderyd (Sweden); University of Pennsylvania, Philadelphia, Pennsylvania 19104 (United States)

2010-11-15T23:59:59.000Z

332

Development of a Laboratory Verified Single-Duct VAV System Model with Fan Powered Terminal Units Optimized Using Computational Fluid Dynamics  

E-Print Network (OSTI)

Single Duct Variable Air Volume (SDVAV) systems use series and parallel Fan Powered Terminal Units to control the air flow in conditioned spaces. This research developed a laboratory verified model of SDVAV systems that used series and parallel fan terminal units where the fan speeds were controlled by either Silicon Controlled Rectifiers (SCR) or Electronically Commutated Motors (ECM) motors. As part of the research, the model was used to compare the performance of the systems and to predict the harmonics generated by ECM systems. All research objectives were achieved. The CFD model, which was verified with laboratory measurements, showed the potential to identify opportunities for improvement in the design of the FPTU and accurately predicted the static pressure drop as air passed through the unit over the full operating range of the FPTU. Computational fluid dynamics (CFD) models of typical a FPTU were developed and used to investigate opportunities for optimizing the design of FPTUs. The CFD model identified key parameters required to conduct numerical simulations of FPTU and some of the internal components used to manufacture the units. One key internal component was a porous baffle used to enhance mixing when primary air and induced air entered the mixing chamber. The CFD analysis showed that a pressure-drop based on face velocity model could be used to accurately predict the performance of the FPTU. The SDVAV simulation results showed that parallel FPTUs used less energy overall than series systems that used SCR motors as long as primary air leakage was not considered. Simulation results also showed that series ECM FPTUs used about the same amount of energy, within 3 percent, of parallel FPTU even when leakage was not considered. A leakage rate of 10 percent was enough to reduce the performance of the parallel FPTU to the level of the series SCR system and the series ECM FPTUs outperformed the parallel FPTUs at all weather locations used in the study.

Davis, Michael A.

2010-08-01T23:59:59.000Z

333

Low Rank Coal Optimization  

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

Low Rank Coal Optimization Low Rank Coal Optimization NETL Office of Research and Development Project Number: FWP-2012.03.03 Task 4 Project Description NETL's in-house research team is using an integrated approach to combine theory, computational modeling, experiment, and industrial input to develop physics-based methods, models, and tools to support the development and deployment of advanced gasification based devices and systems. The activities in this effort include developing and applying computational and modeling tools to simulate complex flows in applications such as transport or entrained flow gasifiers. TRIG Model Development - The primary objective of this work is to develop a hierarchy of models for numerical simulations of TRIG co-feed conditions that span fast running reduced order models (ROM's) to high fidelity multiphase computational fluid dynamics (CFD) models. Each model will have uncertainty quantification associated with its predictions to allow a user to choose a model based on the trade-offs between computational speed and uncertainty in the predictions.

334

Optimization of a Sea Ice Model Using Basinwide Observations of Arctic Sea Ice Thickness, Extent, and Velocity  

Science Conference Proceedings (OSTI)

A stand-alone sea ice model is tuned and validated using satellite-derived, basinwide observations of sea ice thickness, extent, and velocity from the years 1993 to 2001. This is the first time that basin-scale measurements of sea ice thickness ...

Paul A. Miller; Seymour W. Laxon; Daniel L. Feltham; Douglas J. Cresswell

2006-04-01T23:59:59.000Z

335

Abstract--A bi-objective optimization model of power and power changes generated by a wind turbine is discussed in this  

E-Print Network (OSTI)

for optimizing the power of the DFIG (Doubly Fed Induction Generator). Abdelli et al. [5] applied a multi

Kusiak, Andrew

336

OPTIMIZATION OF THE CATHODE LONG-TERM STABILITY IN MOLTEN CARBONATE FUEL CELLS: EXPERIMENTAL STUDY AND MATHEMATICAL MODELING  

DOE Green Energy (OSTI)

The dissolution of NiO cathodes during cell operation is a limiting factor to the successful commercialization of molten carbonate fuel cells (MCFCs). Lithium cobalt oxide coating onto the porous nickel electrode has been adopted to modify the conventional MCFC cathode which is believed to increase the stability of the cathodes in the carbonate melt. The material used for surface modification should possess thermodynamic stability in the molten carbonate and also should be electro catalytically active for MCFC reactions. Lithium Cobalt oxide was coated on Ni cathode by a sol-gel coating. The morphology and the LiCoO{sub 2} formation of LiCoO{sub 2} coated NiO was studied using scanning electron microscopy and X-Ray diffraction studies respectively. The electrochemical performance lithium cobalt oxide coated NiO cathodes were investigated with open circuit potential measurement and current-potential polarization studies. These results were compared to that of bare NiO. Dissolution of nickel into the molten carbonate melt was less in case of lithium cobalt oxide coated nickel cathodes. LiCoO{sub 2} coated on the surface prevents the dissolution of Ni in the melt and thereby stabilizes the cathode. Finally, lithium cobalt oxide coated nickel shows similar polarization characteristics as nickel oxide. Conventional theoretical models for the molten carbonate fuel cell cathode are based on the thin film agglomerate model. The principal deficiency of the agglomerate model, apart from the simplified pore structure assumed, is the lack of measured values for film thickness and agglomerate radius. Both these parameters cannot be estimated appropriately. Attempts to estimate the thickness of the film vary by two orders of magnitude. To avoid these problems a new three phase homogeneous model has been developed using the volume averaging technique. The model considers the potential and current variation in both liquid and solid phases. Using this approach, volume averaged concentrations of both gaseous and liquid phase reactants are obtained separately. The polarization characteristics of the electrode have been studied for different electrode parameters. The effect of different design parameters on the electrode performance has also been analyzed. Finally, the model has been used to analyze the impedance response of the MCFC cathode.

Dr. Ralph E. White; Dr. Branko N. Popov

2001-10-01T23:59:59.000Z

337

Modeling and Validation of Performance Limitations for the Optimal Design of Interferometric and Intensity-Modulated Fiber Optic Displacement Sensors  

Science Conference Proceedings (OSTI)

Optical fiber sensors offer advantages over traditional electromechanical sensors, making them particularly well-suited for certain measurement applications. Generally speaking, optical fiber sensors respond to a desired measurand through modulation of an optical signal's intensity, phase, or wavelength. Practically, non-contacting fiber optic displacement sensors are limited to intensity-modulated and interferometric (or phase-modulated) methodologies. Intensity-modulated fiber optic displacement sensors relate target displacement to a power measurement. The simplest intensity-modulated sensor architectures are not robust to environmental and hardware fluctuations, since such variability may cause changes in the measured power level that falsely indicate target displacement. Differential intensity-modulated sensors have been implemented, offering robustness to such intensity fluctuations, and the speed of these sensors is limited only by the combined speed of the photodetection hardware and the data acquisition system (kHz-MHz). The primary disadvantages of intensity-modulated sensing are the relatively low accuracy (?m-mm for low-power sensors) and the lack of robustness, which consequently must be designed, often with great difficulty, into the sensor's architecture. White light interferometric displacement sensors, on the other hand, offer increased accuracy and robustness. Unlike their monochromatic-interferometer counterparts, white light interferometric sensors offer absolute, unambiguous displacement measurements over large displacement ranges (cm for low-power, 5 mW, sources), necessitating no initial calibration, and requiring no environmental or feedback control. The primary disadvantage of white light interferometric displacement sensors is that their utility in dynamic testing scenarios is limited, both by hardware bandwidth and by their inherent high-sensitivity to Doppler-effects. The decision of whether to use either an intensity-modulated interferometric sensor depends on an appropriate performance function (e.g., desired displacement range, accuracy, robustness, etc.). In this dissertation, the performance limitations of a bundled differential intensity-modulated displacement sensor are analyzed, where the bundling configuration has been designed to optimize performance. The performance limitations of a white light Fabry-Perot displacement sensor are also analyzed. Both these sensors are non-contacting, but they have access to different regions of the performance-space. Further, both these sensors have different degrees of sensitivity to experimental uncertainty. Made in conjunction with careful analysis, the decision of which sensor to deploy need not be an uninformed one.

Moro, Erik A. [Los Alamos National Laboratory

2012-06-07T23:59:59.000Z

338

OPTIMIZATION OF THE CATHODE LONG-TERM STABILITY IN MOLTEN CARBONATE FUEL CELLS: EXPERIMENTAL STUDY AND MATHEMATICAL MODELING  

DOE Green Energy (OSTI)

The dissolution of NiO cathodes during cell operation is a limiting factor to the successful commercialization of molten carbonate fuel cells (MCFCs). Lithium cobalt oxide coating onto the porous nickel electrode has been adopted to modify the conventional MCFC cathode which is believed to increase the stability of the cathodes in the carbonate melt. The material used for surface modification should possess thermodynamic stability in the molten carbonate and also should be electro catalytically active for MCFC reactions. Two approaches have been adopted to get a stable cathode material. First approach is the use of LiNi{sub 0.8}Co{sub 0.2}O{sub 2}, a commercially available lithium battery cathode material and the second is the use of tape cast electrodes prepared from cobalt coated nickel powders. The morphology and the structure of LiNi{sub 0.8}Co{sub 0.2}O{sub 2} and tape cast Co coated nickel powder electrodes were studied using scanning electron microscopy and X-Ray diffraction studies respectively. The electrochemical performance of the two materials was investigated by electrochemical impedance spectroscopy and polarization studies. A three phase homogeneous model was developed to simulate the performance of the molten carbonate fuel cell cathode. The homogeneous model is based on volume averaging of different variables in the three phases over a small volume element. The model gives a good fit to the experimental data. The model has been used to analyze MCFC cathode performance under a wide range of operating conditions.

Dr. Ralph E. White; Dr. Branko N. Popov

2002-04-01T23:59:59.000Z

339

Deriving a Near-optimal Power Management Policy Using Model-Free Reinforcement Learning and Bayesian Classification  

E-Print Network (OSTI)

generating rate. The state transition matrix is given by: 0.02 0.01 0.01 0.005 0.01 0.005 0.005 0.005 0 states for the RL algorithm. In this DPM framework, power and latency tradeoffs can be precisely for the given controllable MDP can be found only if we have knowledge (and model) of the state transition

Pedram, Massoud

340

A graph theoretical model for the total balancedness of combinatorial optimization games, Revista de la Unión Matemática Argentina 53  

E-Print Network (OSTI)

Abstract. In this paper we present a model for the study of the total balancedness of packing and covering games, concerning some aspects of graph theory. We give an alternative proof of van Velzen’s characterization of totally balanced covering games. We introduce new types of graph perfection, which allows us to give another approach to the open problem of characterizing totally balanced packing games. 1.

M. Escalante; V. Leoni; G. Nasini

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

A review of recent advances in global optimization  

Science Conference Proceedings (OSTI)

This paper presents an overview of the research progress in deterministic global optimization during the last decade (1998---2008). It covers the areas of twice continuously differentiable nonlinear optimization, mixed-integer nonlinear optimization, ... Keywords: Bilevel optimization, DAE, Global optimization, MINLP, NLP, Nonfactorable models, SIP

C. A. Floudas; C. E. Gounaris

2009-09-01T23:59:59.000Z

342

Performance and Optimization  

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

and Optimization Performance and Optimization Compiler Comparisons Using a set of benchmarks described below, different optimization options for the different compilers on...

343

OPTIMIZATION OF THE CATHODE LONG-TERM STABILITY IN MOLTEN CARBONATE FUEL CELLS: EXPERIMENTAL STUDY AND MATHEMATICAL MODELING  

DOE Green Energy (OSTI)

This project focused on addressing the two main problems associated with state of art Molten Carbonate Fuel Cells, namely loss of cathode active material and stainless steel current collector deterioration due to corrosion. We followed a dual approach where in the first case we developed novel materials to replace the cathode and current collector currently used in molten carbonate fuel cells. In the second case we improved the performance of conventional cathode and current collectors through surface modification. States of art NiO cathode in MCFC undergo dissolution in the cathode melt thereby limiting the lifetime of the cell. To prevent this we deposited cobalt using an electroless deposition process. We also coated perovskite (La{sub 0.8}Sr{sub 0.2}CoO{sub 3}) in NiO thorough a sol-gel process. The electrochemical oxidation behavior of Co and perovskites coated electrodes is similar to that of the bare NiO cathode. Co and perovskite coatings on the surface decrease the dissolution of Ni into the melt and thereby stabilize the cathode. Both, cobalt and provskites coated nickel oxide, show a higher polarization compared to that of nickel oxide, which could be due to the reduced surface area. Cobalt substituted lithium nickel oxide (LiNi{sub 0.8}Co{sub 0.2}O{sub 2}) and lithium cobalt oxide were also studied. LiNi{sub x}Co{sub 1-x}O{sub 2} was synthesized by solid-state reaction procedure using lithium nitrate, nickel hydroxide and cobalt oxalate precursor. LiNi{sub x}Co{sub 1-x}O{sub 2} showed smaller dissolution of nickel than state of art nickel oxide cathode. The performance was comparable to that of nickel oxide. The corrosion of the current collector in the cathode side was also studied. The corrosion characteristics of both SS304 and SS304 coated with Co-Ni alloy were studied. This study confirms that surface modification of SS304 leads to the formation of complex scales with better barrier properties and better electronic conductivity at 650 C. A three phase homogeneous model was developed to simulate the performance of the molten carbonate fuel cell cathode and the complete fuel cell. The homogeneous model is based on volume averaging of different variables in the three phases over a small volume element. This approach can be used to model porous electrodes as it represents the real system much better than the conventional agglomerate model. Using the homogeneous model the polarization characteristics of the MCFC cathode and fuel cell were studied under different operating conditions. Both the cathode and the full cell model give good fits to the experimental data.

Hector Colonmer; Prabhu Ganesan; Nalini Subramanian; Dr. Bala Haran; Dr. Ralph E. White; Dr. Branko N. Popov

2002-09-01T23:59:59.000Z

344

Optimization Online - Stochastic Optimization Approach to Water ...  

E-Print Network (OSTI)

Mar 18, 2012 ... Optimization Online. Stochastic Optimization Approach to Water Management in Cooling-Constrained Power Plants. Juan M. Salazar(juan ...

345

Optimization Online - Global Optimization Submissions - 2011  

E-Print Network (OSTI)

Optimization and homotopy methods for the Gibbs free energy of magmatic mixtures ... On DC. optimization algorithms for solving minmax flow problems

346

Particle swarm optimization in high dimensional spaces  

Science Conference Proceedings (OSTI)

Global optimization methods including Particle Swarm Optimization are usually used to solve optimization problems when the number of parameters is small (hundreds). In the case of inverse problems the objective (or fitness) function used for sampling ... Keywords: PSO, inverse problems, model reduction techniques, uncertainty

Juan L. Fernández-Martínez; Tapan Mukerji; Esperanza García-Gonzalo

2010-09-01T23:59:59.000Z

347

Robust optimal decisions with imprecise forecasts  

Science Conference Proceedings (OSTI)

A robust minimax approach for optimal investment decisions with imprecise return forecasts and risk estimations in financial portfolio management is considered. Single-period and multi-period mean-variance optimization models are extended to worst-case ... Keywords: Minimax, Rival scenarios, Robust optimization

Nalan Gülp?nar; Berc Rustem

2007-04-01T23:59:59.000Z

348

Modeling of Salivary Production Recovery After Radiotherapy Using Mixed Models: Determination of Optimal Dose Constraint for IMRT Planning and Construction of Convenient Tools to Predict Salivary Function  

Science Conference Proceedings (OSTI)

Purpose: The mathematical relationship between the dose to the parotid glands and salivary gland production needs to be elucidated. This study, which included data from patients included in a French prospective study assessing the benefit of intensity-modulated radiotherapy (RT), sought to elaborate a convenient and original model of salivary recovery. Methods and Materials: Between January 2001 and December 2004, 44 patients were included (35 with oropharyngeal and 9 with nasopharyngeal cancer). Of the 44 patients, 24 were treated with intensity-modulated RT, 17 with three-dimensional conformal RT, and 2 with two-dimensional RT. Stimulated salivary production was collected for {gland were modeled using a mixed model. Several models were developed to assess the best-fitting variable for the dose level to the parotid gland. Results: Models developed with the dose to the contralateral parotid fit the data slightly better than those with the dose to both parotids, suggesting that contralateral and ipsilateral parotid glands are not functionally equivalent even with the same dose level to the glands. The best predictive dose-value variable for salivary flow recovery was the volume of the contralateral parotid gland receiving >40 Gy. Conclusion: The results of this study show that the recommendation of a dose constraint for intensity-modulated RT planning should be established at the volume of the contralateral parotid gland receiving >40 Gy rather than the mean dose. For complete salivary production recovery after 24 months, the volume of the contralateral parotid gland receiving >40 Gy should be gland.

Ortholan, Cecile [Department of Radiotherapy, Centre Antoine-Lacassagne, Canceropole PACA, Nice (France)], E-mail: c.ortholan@wanadoo.fr; Chamorey, Emmanuel Phar [Department of Biostatistics, Centre Antoine-Lacassagne, Canceropole PACA, Nice (France); Benezery, Karen; Thariat, Juliette [Department of Radiotherapy, Centre Antoine-Lacassagne, Canceropole PACA, Nice (France); Dassonville, Olivier; Poissonnet, Gilles; Bozec, Alexandre [Department of Otolaryngology, Head and Neck Surgery, Centre Antoine-Lacassagne, Canceropole PACA, Nice (France); Follana, Philippe; Peyrade, Frederique [Department of Medical Oncology, Centre Antoine-Lacassagne, Canceropole PACA, Nice (France); Sudaka, Anne [Department of Pathology, Centre Antoine-Lacassagne, Canceropole PACA, Nice (France); Gerard, Jean Pierre; Bensadoun, Rene Jean [Department of Radiotherapy, Centre Antoine-Lacassagne, Canceropole PACA, Nice (France)

2009-01-01T23:59:59.000Z

349

OPTIMIZATION OF THE CATHODE LONG-TERM STABILITY IN MOLTEN CARBONATE FUEL CELLS: EXPERIMENTAL STUDY AND MATHEMATICAL MODELING  

DOE Green Energy (OSTI)

The dissolution of NiO cathodes during cell operation is a limiting factor to the successful commercialization of molten carbonate fuel cells (MCFCs). Microencapsulation of the NiO cathode has been adopted as a surface modification technique to increase the stability of NiO cathodes in the carbonate melt. The material used for surface modification should possess thermodynamic stability in the molten carbonate and also should be electro catalytically active for MCFC reactions. A simple first principles model was developed to understand the influence of exchange current density and conductivity of the electrode material on the polarization of MCFC cathodes. The model predictions suggest that cobalt can be used to improve the corrosion resistance of NiO cathode without affecting its performance. Cobalt was deposited on NiO cathode by electroless deposition. The morphology and thermal oxidation behavior of Co coated NiO was studied using scanning electron microscopy and thermal gravimetric analysis respectively. The electrochemical performance of cobalt encapsulated NiO cathodes were investigated with open circuit potential measurement and current-potential polarization studies. These results were compared to that of bare NiO. The electrochemical oxidation behavior of cobalt-coated electrodes is similar to that of the bare NiO cathode. Dissolution of nickel into the molten carbonate melt was less in case of cobalt encapsulated nickel cathodes. Co coated on the surface prevents the dissolution of Ni in the melt and thereby stabilizes the cathode. Finally, cobalt coated nickel shows similar polarization characteristics as nickel oxide. A similar surface modification technique has been used to improve the performance of the SS 304 current collectors used in MCFC cells. SS 304 was encapsulated with nanostructured layers of NiCo and NiMo by electroless deposition. The corrosion behavior of bare and surface modified SS 304 in molten carbonate under cathode gas atmosphere was investigated with cyclic voltammetry, open circuit potential studies, Tafel polarization, impedance analysis and atomic absorption spectroscopy. This study confirms that the presence of surface modification leads to the formation of complex scales with better barrier properties and electronic conductivity.

Dr. Ralph E. White

2000-09-30T23:59:59.000Z

350

A novel elitist multiobjective optimization algorithm: multiobjective ...  

E-Print Network (OSTI)

Apr 5, 2007 ... De Sousa F L, Vlassov V, Ramos F M. Generalized extremal optimization: An application in heat pipe design. Applied Mathematical Modeling ...

351

Multistage Optimization  

E-Print Network (OSTI)

ment problems, and it can be found in multistage decision models for electricity management as well. ..... T) describes the random demand (of, say, flowers).

352

Optimization and AMS Modeling for Design of an Electrostatic Vibration Energy Harvester's Conditioning Circuit with an Auto-Adaptive Process to the External Vibration Changes  

E-Print Network (OSTI)

Electrostatic transducers for vibration energy scavenging have been an object to numerous studies, but are still facing major issues relating to their conditioning circuit. One of the most popular ones uses a charge pump and a flyback circuit based on a Buck DC-DC converter (Fig. 1). A commutation between the energy accumulation in the charge pump and the recharge of the buffer capacitor Cres is assured by a switch which is the major bottleneck in the energy harvester circuit. The commutation timing of the switch determines the efficiency of the energy harvesting. In previous papers [1] the switch commutates periodically with some fixed duty ratio. However, this solution is not appropriate when the environment parameters, e.g. the vibration frequency, change. We found that the switching should be ordered by the internal state of the circuit, an not by some fixed timing scenario. We presents how to find the optimal operation mode of the harvester. To validate the study, the system was modeled using a mixed VHD...

Galayko, Dimitri; Paracha, Ayyaz Mahmood

2008-01-01T23:59:59.000Z

353

Optimal segmentation and packaging process  

DOE Patents (OSTI)

A process for improving packaging efficiency uses three dimensional, computer simulated models with various optimization algorithms to determine the optimal segmentation process and packaging configurations based on constraints including container limitations. The present invention is applied to a process for decontaminating, decommissioning (D&D), and remediating a nuclear facility involving the segmentation and packaging of contaminated items in waste containers in order to minimize the number of cuts, maximize packaging density, and reduce worker radiation exposure. A three-dimensional, computer simulated, facility model of the contaminated items are created. The contaminated items are differentiated. The optimal location, orientation and sequence of the segmentation and packaging of the contaminated items is determined using the simulated model, the algorithms, and various constraints including container limitations. The cut locations and orientations are transposed to the simulated model. The contaminated items are actually segmented and packaged. The segmentation and packaging may be simulated beforehand. In addition, the contaminated items may be cataloged and recorded.

Kostelnik, Kevin M. (Idaho Falls, ID); Meservey, Richard H. (Idaho Falls, ID); Landon, Mark D. (Idaho Falls, ID)

1999-01-01T23:59:59.000Z

354

Python Optimization Modeling Objects (Pyomo)  

E-Print Network (OSTI)

Python's clean syntax allows Pyomo to express mathematical concepts with a reasonably intuitive syntax. Further, Pyomo can be used within an interactive.

355

Sootblowing optimization for improved boiler performance  

SciTech Connect

A sootblowing control system that uses predictive models to bridge the gap between sootblower operation and boiler performance goals. The system uses predictive modeling and heuristics (rules) associated with different zones in a boiler to determine an optimal sequence of sootblower operations and achieve boiler performance targets. The system performs the sootblower optimization while observing any operational constraints placed on the sootblowers.

James, John Robert; McDermott, John; Piche, Stephen; Pickard, Fred; Parikh, Neel J

2013-07-30T23:59:59.000Z

356

Sootblowing optimization for improved boiler performance  

SciTech Connect

A sootblowing control system that uses predictive models to bridge the gap between sootblower operation and boiler performance goals. The system uses predictive modeling and heuristics (rules) associated with different zones in a boiler to determine an optimal sequence of sootblower operations and achieve boiler performance targets. The system performs the sootblower optimization while observing any operational constraints placed on the sootblowers.

James, John Robert; McDermott, John; Piche, Stephen; Pickard, Fred; Parikh, Neel J.

2012-12-25T23:59:59.000Z

357

Optimal Sizing of a Stand-alone Wind/Photovoltaic Generation Unit using Particle Swarm Optimization  

Science Conference Proceedings (OSTI)

A hybrid wind/photovoltaic generation system is designed to supply power demand. The aim of this design is minimization of the overall cost of the generation scheme over 20 years of operation. Full demand supply is modeled as constraint for optimization ... Keywords: genetic algorithm, optimal sizing, particle swarm optimization, photovoltaic, wind energy

Ali Kashefi Kaviani; Hamid Reza Baghaee; Gholam Hossein Riahy

2009-02-01T23:59:59.000Z

358

Quantum and biogeography based optimization for a class of combinatorial optimization  

Science Conference Proceedings (OSTI)

In this paper, an algorithm named Quantum and Biogeography based Optimization(QBO) is proposed to investigate the possibility of optimization by evolving multiple Quantum Probability Models(QPMs) via evolutionary strategies inspired by the mathematics ... Keywords: 0/1 knapsack problem, biogeography based optimization, emigration, immigration, quantum inspired evolutionary algorithms

Lixiang Tan; Li Guo

2009-06-01T23:59:59.000Z

359

Optimization Online - Nonlinear Optimization Submissions - 2012  

E-Print Network (OSTI)

Mariano Beguerisse-Díaz, Baojun Wang, Radhika Desikan, Mauricio Barahona. Unconstrained Optimization Globally Convergent Evolution Strategies and ...

360

Optimization Online - Robust Optimization Submissions - 2011  

E-Print Network (OSTI)

Sanjay Mehrotra, He Zhang. Robust Energy Cost Optimization of Water Distribution System with Uncertain Demand Alexander Goryashko, Arkadi Nemirovski.

Note: This page contains sample records for the topic "optimization model homer" 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

Optimization Online - Robust Optimization Submissions - 2013  

E-Print Network (OSTI)

Robust Optimization Submissions - 2013. January 2013. Robust Least Square Semidefinite Programming with Applications to Correlation Stress Testing

362

Optimization Online - Optimizing Trading Decisions for Hydro ...  

E-Print Network (OSTI)

Dec 10, 2011 ... Optimizing Trading Decisions for Hydro Storage Systems using Approximate ... Keywords: OR in Energy, Approximate Dynamic Programming, ...

363

2010 - Optimization Online  

E-Print Network (OSTI)

Minimum wight Topology optimization subject to unsteady heat equation and space-time pointwise ... Optimal adaptive control of cascading power grid failures

364

Performance and Optimization  

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

1-800-66-NERSC, option 3 or 510-486-8611 Home For Users Computational Systems Edison Performance and Optimization Performance and Optimization Note: all the performance...

365

Robustness and Errors in Quantum Optimal Control  

E-Print Network (OSTI)

We introduce a new approach to quantify the robustness of optimal control of closed quantum systems. Our theory allows to assess the degree of distortion that can be applied to a set of known optimal control parameters, which are solutions of an optimal control problem. The formalism is applied to an exactly solvable model and to the Landau-Zener model, whose optimal control problem is solvable only numerically. The presented method is of importance for any application where a high degree of controllability of the quantum system dynamics is required.

Calarco, Antonio Negretti; Rosario Fazio; Tommaso

2010-01-01T23:59:59.000Z

366

Optimal Scheduling of Cogeneration Plants  

E-Print Network (OSTI)

A cogeneration plant, feeding its output water into a district-heating grid, may include several types of energy producing units. The most important being the cogeneration unit, which produces both heat and electricity. Most plants also have a heat water storage. Finding the optimal production of both heat and electricity and the optimal use of the storage is a difficult optimization problem. This paper formulates a general approach for the mathematical modeling of a cogeneration plant. The model objective function is nonlinear, with nonlinear constraints. Internal plant temperatures, mass flows, storage losses, minimal up and down times and time depending start-up costs are considered. The unit commitment, i.e. the units on and off modes, is found with an algorithm based on Lagrangian relaxation. The dual search direction is given by the subgradient method and the step length by the Polyak rule II. The economic dispatch problem, i.e. the problem of determining the units production giv...

Erik Dotzauer; Kenneth Holmström

1997-01-01T23:59:59.000Z

367

Bayesian Inference with Optimal Maps  

E-Print Network (OSTI)

We present a new approach to Bayesian inference that entirely avoids Markov chain simulation, by constructing a map that pushes forward the prior measure to the posterior measure. Existence and uniqueness of a suitable measure-preserving map is established by formulating the problem in the context of optimal transport theory. We discuss various means of explicitly parameterizing the map and computing it efficiently through solution of an optimization problem, exploiting gradient information from the forward model when possible. The resulting algorithm overcomes many of the computational bottlenecks associated with Markov chain Monte Carlo. Advantages of a map-based representation of the posterior include analytical expressions for posterior moments and the ability to generate arbitrary numbers of independent posterior samples without additional likelihood evaluations or forward solves. The optimization approach also provides clear convergence criteria for posterior approximation and facilitates model selectio...

Moselhy, Tarek A El

2011-01-01T23:59:59.000Z

368

Metamodels for Planar 3R Workspace Optimization.  

Science Conference Proceedings (OSTI)

Robotic workspace optimization is a central element of robot system design. To formulate the optimization problem, the complex relationships between design variables, tuning parameters, and performance indices need to be accurately and efficiently represented. The nature of the relationships suggests that metamodels, or models of the models, should be used to derive suitable objective functions. A comparison of two metamodeling techniques for robotic workspace optimization problems for several trial cases suggests that non-uniform rational B-spline models, derived from computer graphics and computer-aided design techniques, are as suitable as response surface models to solve planar 3R workspace optimization problems. Promising nonlinear modeling results with B-spline models suggest future work is justified and performance gains can be realized.

Turner, C. J. (Cameron J.)

2002-01-01T23:59:59.000Z

369

Bacterial Foraging Optimization  

Science Conference Proceedings (OSTI)

The bacterial foraging optimization BFO algorithm mimics how bacteria forage over a landscape of nutrients to perform parallel nongradient optimization. In this article, the author provides a tutorial on BFO, including an overview of the biology of bacterial ... Keywords: Bacteria Foraging, Bacteria Foraging Optimization, Bacteria Motility, Control, Distributed Control, Optimization

Kevin M. Passino

2010-01-01T23:59:59.000Z

370

Wind Electrolysis: Hydrogen Cost Optimization  

DOE Green Energy (OSTI)

This report describes a hydrogen production cost analysis of a collection of optimized central wind based water electrolysis production facilities. The basic modeled wind electrolysis facility includes a number of low temperature electrolyzers and a co-located wind farm encompassing a number of 3MW wind turbines that provide electricity for the electrolyzer units.

Saur, G.; Ramsden, T.

2011-05-01T23:59:59.000Z

371

Modal test optimization using VETO (Virtual Environment for Test Optimization)  

SciTech Connect

We present a software environment integrating analysis and test-based models to support optimal modal test design through a Virtual Environment for Test Optimization (VETO). A goal in developing this software tool is to provide test and analysis organizations with a capability of mathematically simulating the complete test environment in software. Derived models of test equipment, instrumentation and hardware can be combined within the VETO to provide the user with a unique analysis and visualization capability to evaluate new and existing test methods. The VETO assists analysis and test engineers in maximizing the value of each modal test. It is particularly advantageous for structural dynamics model reconciliation applications. The VETO enables an engineer to interact with a finite element model of a test object to optimally place sensors and exciters and to investigate the selection of data acquisition parameters needed to conduct a complete modal survey. Additionally, the user can evaluate the use of different types of instrumentation such as filters, amplifiers and transducers for which models are available in the VETO. The dynamic response of most of the virtual instruments (including the device under test) is modeled in the state space domain. Design of modal excitation levels and appropriate test instrumentation are facilitated by the VETO`s ability to simulate such features as unmeasured external inputs, A/D quantization effects, and electronic noise. Measures of the quality of the experimental design, including the Modal Assurance Criterion, and the Normal Mode Indicator Function are available.

Klenke, S.E.; Reese, G.M.; Schoof, L.A.; Shierling, C.

1996-01-01T23:59:59.000Z

372

Optimization Online - Benchmark of Some Nonsmooth Optimization ...  

E-Print Network (OSTI)

Mar 1, 2006 ... Benchmark of Some Nonsmooth Optimization Solvers for Computing Nonconvex Proximal Points. Warren Hare (whare ***at*** cecm.sfu.ca)

373

Optimization Online - Nonlinear Optimization Submissions - 2013  

E-Print Network (OSTI)

Optimization of running strategies based on anaerobic energy and variations of velocity. Amandine Aftalion, J. Frédéric Bonnans. Convergence Analysis of DC ...

374

Optimization Online - Energy Security: a robust optimization ...  

E-Print Network (OSTI)

Sep 9, 2010 ... Energy Security: a robust optimization approach to design a robust European energy supply via TIAM. F Babonneau(fbabonneau ***at*** ...

375

Optimization Online - Projection methods in conic optimization  

E-Print Network (OSTI)

Mar 8, 2011 ... Citation: To appear as a contributed chapter of "Handbook of Semidefinite, Cone and Polynomial Optimization" edited by M. Anjos and J. B. ...

376

Optimization Online - Robust Optimization Submissions - 2012  

E-Print Network (OSTI)

An Exact Algorithm for Power Grid Interdiction Problem with Line Switching Long Zhao, Bo Zeng. An Exact Algorithm for Two-stage Robust Optimization with ...

377

A multiobjective, multidisciplinary design optimization methodology for the conceptual design of distributed satellite systems  

E-Print Network (OSTI)

A multiobjective, multidisciplinary design optimization methodology for mathematically modeling the distributed satellite system (DSS) conceptual design problem as an optimization problem has been developed to advance the ...

Jilla, Cyrus D., 1974-

2002-01-01T23:59:59.000Z

378

Thermodynamic Optimization of Lithia-Alumina  

SciTech Connect

The optimization of thermodynamic parameters in the Li2O-Al2O3 system using available thermodynamic and assessed phase diagram data is discussed. A procedure for obtaining a suitable associate species solution model for the liquid in this system is presented. It is shown that if the eutectic near the pure alumina composition is ignored during the optimization, the optimized thermodynamic parameters in this system result in a phase diagram that is in reasonable agreement with the experimental one. Optimized thermodynamic parameters for the associate species in the associate species liquid model and the solids in this system are provided. An optimized associate-regular solution model with a reduced number of associates in the liquid is also provided as a comparison.

Kulkarni, Nagraj S [ORNL; Besmann, Theodore M [ORNL; Spear, K. E. [Casitacalc

2008-01-01T23:59:59.000Z

379

Effects of Sea Level Data Assimilation by Ensemble Optimal Interpolation and 3D Variational Data Assimilation on the Simulation of Variability in a Tropical Pacific Model  

Science Conference Proceedings (OSTI)

Sea level anomalies (SLA) from the Ocean Topography Experiment (TOPEX)/Poseidon are assimilated with three-dimensional variational data assimilation (3DVAR) and ensemble optimal interpolation (EnOI) for the period of 1997–2001. When sea level data ...

Weiwei Fu; Jiang Zhu

2011-12-01T23:59:59.000Z

380

A neural network model based on the multi-stage optimization approach for short-term food price forecasting in China  

Science Conference Proceedings (OSTI)

Many studies have demonstrated that back-propagation neural network can be effectively used to uncover the nonlinearity in the financial markets. Unfortunately, back-propagation algorithm suffers the problems of slow convergence, inefficiency, and lack ... Keywords: Artificial neural network, Back-propagation, Food price forecasting, Multi-stage optimization approach, Time series forecasting

Zou Haofei; Xia Guoping; Yang Fangting; Yang Han

2007-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "optimization model homer" 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

Optimal excitation of interannual atlantic meridional overturning circulation variability  

E-Print Network (OSTI)

The optimal excitation of Atlantic meridional overturning circulation (MOC) anomalies is investigated in an ocean general circulation model with an idealized configuration. The optimal three-dimensional spatial structure ...

Zanna, Laure

382

Distributed rate allocation for inelastic flows: Optimization frameworks, optimality conditions, and optimal algorithms  

E-Print Network (OSTI)

Abstract—A common assumption behind the recent surge in research activities on network utility maximization is that the traffic flows are elastic, which implies that the utility functions are concave and there are no hard limits on the rate allocated to each flow. These critical assumptions lead to the tractability of the analytic models of utility maximization, but also limits the applicability of the resulting rate allocation protocols. This paper focuses on inelastic flows and removes these restrictive and often invalid assumptions. We present several optimization frameworks, optimality conditions, and optimal algorithms. First we consider nonconcave utility functions, which turn utility maximization into nonconvex, constrained optimization problems that are well-known to be extremely difficult. We first show a surprising result that under certain conditions, the standard pricing algorithm for rate allocation will still converge to the globally optimal rate allocation. When the existing distributed algorithm fails, we present a new algorithm that produces the globally optimal rate allocation, with the worst case complexity being polynomial time in the number of users but exponential time in the number of links. In the second part of the paper, we provide a general problem formulation of rate allocation among time-sensitive flows from real-time and streaming applications, as well as a decomposition into subproblems coordinated by pricing. After simplifying the subproblems by leveraging the optimization structures, we highlight the difficult issues of causality and time-scale, and propose an effective pricing-based heuristics for admission control and an optimal algorithm for a special case formulation.

Mung Chiang; Shengyu Zhang; Prashanth H

2005-01-01T23:59:59.000Z

383

Optimal Pricing in Networks with Externalities  

Science Conference Proceedings (OSTI)

We study the optimal pricing strategies of a monopolist selling a divisible good (service) to consumers who are embedded in a social network. A key feature of our model is that consumers experience a (positive) local network effect. In particular, ... Keywords: externalities, optimal pricing, social networks

Ozan Candogan; Kostas Bimpikis; Asuman Ozdaglar

2012-07-01T23:59:59.000Z

384

Prudhoe Bay Oil Production Optimization: Using Virtual  

E-Print Network (OSTI)

total field oil production by optimizing the gas discharge rates and pressures at the separation1 Prudhoe Bay Oil Production Optimization: Using Virtual Intelligence Techniques, Stage One: Neural Model Building Shahab D. Mohaghegh, West Virginia University Lynda A. Hutchins, BP Exploration (Alaska

Mohaghegh, Shahab

385

2007 Topics Optimization Of Romp Poly(Norbornene) As A Catalyst  

E-Print Network (OSTI)

W. Simmons 1988 John Crawford, Jr. Spencer F. Eccles Tom C. Korologos Dorothy Snow 1989 Bruce L Spencer Williams 1963 Grant Johannesen V. Fae Thomas Wallace Stegner G. Stanley McAllister 1964 Homer R W. Burt Robert L. Chambers Bryon A. Hunter #12;1979 Bernard P. Brockbank R. Adams Cowley, M

Bommarius, Andreas

386

Design, optimization and predictions of a coupled model of the cell cycle, circadian clock, DNA repair system, irinotecan metabolism and exposure control under temporal logic constraints  

Science Conference Proceedings (OSTI)

In systems biology, the number of available models of cellular processes has increased rapidly, but re-using models in different contexts or for different questions remains a challenging issue. In this paper, we study the coupling of different models ... Keywords: Cell cycle, Constraint solving, DNA damage, Irinotecan, Model checking, Model coupling, Parameter learning, Temporal logic

Elisabetta De Maria; François Fages; Aurélien Rizk; Sylvain Soliman

2011-05-01T23:59:59.000Z

387

Kernel Optimizations in SORD  

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

Kernel Optimizations in SORD Kernel Optimizations in SORD earthquake dynamic rupture code Geoffrey P. Ely Leadership Computing Facility Argonne National Laboratory MiraCon March 7, 2013 S C E C an NSF+USGS center Acknowledgements Tareq Malas King Abdullah Univ. of Science & Technology Vitali Morozov Argonne Leadership Computing Facility Karen Magerlein IBM Watson Research Center Simulation Scale Outer length scale: ~500km Inner length scale: ~50m Mesh points: ~10 12 Spatial Derivatives f (⇠) = n X ↵, , =0 N ↵ (⇠)f ↵ rf = @f @⇠ · J 1 x y z ⇠ ⌘ ⇣ Equations of Motion Viscoelastic Solid (Kelvin-Voigt Model) Free surface boundary condition ¨ u = 1 ⇢ r · g = r(u + ˙ u) = trace(g) + µ(g + g T ) ⇢ density , µ elastic moduli viscosity u displacement stress tensor ⌧ = · ˆ n = 0 ! Kernel with 12 Streams do l = 1, 400 do k = 1, 400

388

Combining Optimization and Simulation for Strategic and Operational Industrial Gas Production and Distribution  

E-Print Network (OSTI)

of liquefied atmo- spheric gases. A simulation engine that interacts with the optimization models is used-wide Optimization; Simulation Optimization; 1 Introduction Liquid oxygen (lox) and liquid nitrogen (lni

Linderoth, Jeffrey T.

389

Nonnormal Multidecadal Response of the Thermohaline Circulation Induced by Optimal Surface Salinity Perturbations  

Science Conference Proceedings (OSTI)

Optimal perturbations of sea surface salinity are obtained for an idealized North Atlantic basin using a 3D planetary geostrophic model—optimality is defined with respect to the intensity of the meridional overturning circulation. Both optimal ...

Florian Sévellec; Thierry Huck; Mahdi Ben Jelloul; Jérôme Vialard

2009-04-01T23:59:59.000Z

390

Design of a building structural skin using multi-objective optimization techniques  

E-Print Network (OSTI)

Multi-disciplinary System Design Optimization was used to design the geometry and to select the materials for the structural facade of a building. A multi-objective optimization model was developed, capable of optimizing ...

Merello, Riccardo

2006-01-01T23:59:59.000Z

391

Optimized nanoporous materials.  

Science Conference Proceedings (OSTI)

Nanoporous materials have maximum practical surface areas for electrical charge storage; every point in an electrode is within a few atoms of an interface at which charge can be stored. Metal-electrolyte interfaces make best use of surface area in porous materials. However, ion transport through long, narrow pores is slow. We seek to understand and optimize the tradeoff between capacity and transport. Modeling and measurements of nanoporous gold electrodes has allowed us to determine design principles, including the fact that these materials can deplete salt from the electrolyte, increasing resistance. We have developed fabrication techniques to demonstrate architectures inspired by these principles that may overcome identified obstacles. A key concept is that electrodes should be as close together as possible; this is likely to involve an interpenetrating pore structure. However, this may prove extremely challenging to fabricate at the finest scales; a hierarchically porous structure can be a worthy compromise.

Braun, Paul V. (University of Illinois at Urbana-Champaign, Urbana, IL); Langham, Mary Elizabeth; Jacobs, Benjamin W.; Ong, Markus D.; Narayan, Roger J. (North Carolina State University, Raleigh, NC); Pierson, Bonnie E. (North Carolina State University, Raleigh, NC); Gittard, Shaun D. (North Carolina State University, Raleigh, NC); Robinson, David B.; Ham, Sung-Kyoung (Korea Basic Science Institute, Gangneung, South Korea); Chae, Weon-Sik (Korea Basic Science Institute, Gangneung, South Korea); Gough, Dara V. (University of Illinois at Urbana-Champaign, Urbana, IL); Wu, Chung-An Max; Ha, Cindy M.; Tran, Kim L.

2009-09-01T23:59:59.000Z

392

Optimization of Cooling Water  

E-Print Network (OSTI)

A cooling water system can be optimized by operation at the highest possible cycles of concentration without risking sealing and fouling on heat exchanger surfaces. The way to optimize will be shown, with a number of examples of new systems.

Matson, J.

1985-05-01T23:59:59.000Z

393

Nonconvex robust optimization  

E-Print Network (OSTI)

We propose a novel robust optimization technique, which is applicable to nonconvex and simulation-based problems. Robust optimization finds decisions with the best worst-case performance under uncertainty. If constraints ...

Teo, Kwong Meng

2007-01-01T23:59:59.000Z

394

Erosion and Optimal Transport  

E-Print Network (OSTI)

383 pp. EROSION AND OPTIMAL TRANSPORT [23] I. Ekeland and T.and D. Simons, Sediment transport capacity of overland ?ow,measure spaces via optimal transport, Ann. of Math. (2),

Birnir, Bjorn; Rowlett, Julie

2010-01-01T23:59:59.000Z

395

NETL: Gasification Systems - Low Rank Coal Optimization  

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

Area Low Rank Coal Optimization Project No.: Adv Gas-FY131415 Task 4 NETL's in-house research team is using an integrated approach to combine theory, computational modeling,...

396

Efficient simulation-based discrete optimization  

Science Conference Proceedings (OSTI)

In many practical applications of simulation it is desirable to optimize the levels of integer or binary variables that are inputs for the simulation model. In these cases, the objective function must often be estimated through an expensive simulation ...

Seth D. Guikema; Rachel A. Davidson; Zehra Ça?nan

2004-12-01T23:59:59.000Z

397

Low Power Oriented CMOS Circuit Optimization Protocol  

Science Conference Proceedings (OSTI)

Low power oriented circuit optimization consists in selecting the best alternative between gate sizing, buffer insertion and logic structure transformation, for satisfying a delay constraint at minimum area cost. In this paper we used a closed form model ...

A. Verle; X. Michel; N. Azemard; P. Maurine; D. Auvergne

2005-03-01T23:59:59.000Z

398

Optimizing Crop Insurance under Climate Variability  

Science Conference Proceedings (OSTI)

This paper studies the selection of optimal crop insurance under climate variability and fluctuating market prices. A model was designed to minimize farmers’ expected losses (including insurance costs) while using the conditional-value-at-risk ...

Juan Liu; Chunhua Men; Victor E. Cabrera; Stan Uryasev; Clyde W. Fraisse

2008-10-01T23:59:59.000Z

399

An Optimal Algorithm for Purging Regular Schemes  

Science Conference Proceedings (OSTI)

A joint application of four optimizing transformations for purging imperative programs—elimination of useless statements, unwinding of degenerate loops, removal from loops, and removal from branch statements—is considered. A model of regular ...

D. L. Uvarov

2000-11-01T23:59:59.000Z

400

568.ps - Optimization Online  

E-Print Network (OSTI)

was implemented in the interactive system for universal functional optimization UFO. Results of extensive numerical experiments are reported. Keywords.

Note: This page contains sample records for the topic "optimization model homer" 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

Particle Swarm Optimization Based Reactive Power Optimization  

E-Print Network (OSTI)

Reactive power plays an important role in supporting the real power transfer by maintaining voltage stability and system reliability. It is a critical element for a transmission operator to ensure the reliability of an electric system while minimizing the cost associated with it. The traditional objectives of reactive power dispatch are focused on the technical side of reactive support such as minimization of transmission losses. Reactive power cost compensation to a generator is based on the incurred cost of its reactive power contribution less the cost of its obligation to support the active power delivery. In this paper an efficient Particle Swarm Optimization (PSO) based reactive power optimization approach is presented. The optimal reactive power dispatch problem is a nonlinear optimization problem with several constraints. The objective of the proposed PSO is to minimize the total support cost from generators and reactive compensators. It is achieved by maintaining the whole system power loss as minimum...

Sujin, P R; Linda, M Mary

2010-01-01T23:59:59.000Z

402

Optimal segmentation and packaging process  

DOE Patents (OSTI)

A process for improving packaging efficiency uses three dimensional, computer simulated models with various optimization algorithms to determine the optimal segmentation process and packaging configurations based on constraints including container limitations. The present invention is applied to a process for decontaminating, decommissioning (D and D), and remediating a nuclear facility involving the segmentation and packaging of contaminated items in waste containers in order to minimize the number of cuts, maximize packaging density, and reduce worker radiation exposure. A three-dimensional, computer simulated, facility model of the contaminated items are created. The contaminated items are differentiated. The optimal location, orientation and sequence of the segmentation and packaging of the contaminated items is determined using the simulated model, the algorithms, and various constraints including container limitations. The cut locations and orientations are transposed to the simulated model. The contaminated items are actually segmented and packaged. The segmentation and packaging may be simulated beforehand. In addition, the contaminated items may be cataloged and recorded. 3 figs.

Kostelnik, K.M.; Meservey, R.H.; Landon, M.D.

1999-08-10T23:59:59.000Z

403

Adaptive extremal optimization by detrended fluctuation analysis  

SciTech Connect

Global optimization is one of the key challenges in computational physics as several problems, e.g. protein structure prediction, the low-energy landscape of atomic clusters, detection of community structures in networks, or model-parameter fitting can be formulated as global optimization problems. Extremal optimization (EO) has become in recent years one particular, successful approach to the global optimization problem. As with almost all other global optimization approaches, EO is driven by an internal dynamics that depends crucially on one or more parameters. Recently, the existence of an optimal scheme for this internal parameter of EO was proven, so as to maximize the performance of the algorithm. However, this proof was not constructive, that is, one cannot use it to deduce the optimal parameter itself a priori. In this study we analyze the dynamics of EO for a test problem (spin glasses). Based on the results we propose an online measure of the performance of EO and a way to use this insight to reformulate the EO algorithm in order to construct optimal values of the internal parameter online without any input by the user. This approach will ultimately allow us to make EO parameter free and thus its application in general global optimization problems much more efficient.

Hamacher, K. [Bioinformatics and Theoretical Biology Group, Technical University Darmstadt, Schnittspahnstr. 10, 64287 Darmstadt (Germany)], E-mail: hamacher@bio.tu-darmstadt.de

2007-12-10T23:59:59.000Z

404

Multi-fidelity optimization for sheet metal forming process  

Science Conference Proceedings (OSTI)

Traditional design optimization for industry problems often requires many runs of costly high-fidelity finite element models. Multi-fidelity techniques offer a means to reducing prohibitive computational cost by combining cheap low-fidelity analyses ... Keywords: Drawbead design, Moving least squares (MLS), Multi-fidelity optimization, Multiobjective optimization, Response surface method (RSM), Sheet-metal forming

Guangyong Sun; Guangyao Li; Shiwei Zhou; Wei Xu; Xujing Yang; Qing Li

2011-07-01T23:59:59.000Z

405

Credit portfolio management using two-level particle swarm optimization  

Science Conference Proceedings (OSTI)

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

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

2013-07-01T23:59:59.000Z

406

An optimization of granular network by evolutionary methods  

Science Conference Proceedings (OSTI)

In this paper, we present an optimization method of GN (Granular Network) based on evolutionary methods such as PSO (Particle Swarm optimization) and GA (Genetic Algorithm). The GN is constructed by linguistic model using CFCM (Context-based Fuzzy C-Means) ... Keywords: context-based fuzzy c-means, genetic algorithm, granular network, information granules, particle swarm optimization

Yun-Hee Han; Keun-Chang Kwak

2010-02-01T23:59:59.000Z

407

Agent-Based Spatial Query Optimization in a Grid Environment  

Science Conference Proceedings (OSTI)

Resource management and optimization among autonomous spatial databases in a grid environment is always a challenge task. In this paper, we introduce a BDI Agent model for cooperating complex spatial query optimization task in a grid environment. Spatial ... Keywords: BDI Agent, grid, spatial query optimization

Yufei Bai; Xiujun Ma; Kunqing Xie; Cuo Cai; Ke Li

2008-12-01T23:59:59.000Z

408

Pareto-optimal glowworm swarms optimization for smart grids management  

Science Conference Proceedings (OSTI)

This paper presents a novel nature-inspired multi-objective optimization algorithm. The method extends the glowworm swarm particles optimization algorithm with algorithmical enhancements which allow to identify optimal pareto front in the objectives ... Keywords: evolutionary optimization, micro-grids, pareto optimization, swarm-optimization

Eleonora Riva Sanseverino; Maria Luisa Di Silvestre; Roberto Gallea

2013-04-01T23:59:59.000Z

409

Optimal fault location  

E-Print Network (OSTI)

Basic goal of power system is to continuously provide electrical energy to the users. Like with any other system, failures in power system can occur. In those situations it is critical that correct remedial actions are applied as soon as possible after the accurate fault condition and location are detected. This thesis has been focusing on automated fault location procedure. Different fault location algorithms, classified according to the spatial placement of physical measurements on single ended, multiple ended and sparse system-wide, are investigated. As outcome of this review, methods are listed as function of different parameters that influence their accuracy. This comparison is than used for generating procedure for optimal fault location algorithm selection. According to available data, and position of the fault with respect to the data, proposed procedure decides between different algorithms and selects an optimal one. A new approach is developed by utilizing different data structures such as binary tree and serialization in order to efficiently implement algorithm decision engine. After accuracy of algorithms is strongly influenced by available input data, different data sources are recommended in proposed architecture such as the digital fault recorders, circuit breaker monitoring, SCADA, power system model and etc. Algorithm for determining faulted section is proposed based on the data from circuit breaker monitoring devices. This algorithm works in real time by recognizing to which sequence of events newly obtained recording belongs. Software prototype of the proposed automated fault location analysis is developed using Java programming language. Fault location analysis is automatically triggered by appearance of new event files in a specific folder. The tests were carried out using the real life transmission system as an example.

Knezev, Maja

2007-12-01T23:59:59.000Z

410

Cold Climates Heat Pump Design Optimization  

SciTech Connect

Heat pumps provide an efficient heating method; however they suffer from sever capacity and performance degradation at low ambient conditions. This has deterred market penetration in cold climates. There is a continuing effort to find an efficient air source cold climate heat pump that maintains acceptable capacity and performance at low ambient conditions. Systematic optimization techniques provide a reliable approach for the design of such systems. This paper presents a step-by-step approach for the design optimization of cold climate heat pumps. We first start by describing the optimization problem: objective function, constraints, and design space. Then we illustrate how to perform this design optimization using an open source publically available optimization toolbox. The response of the heat pump design was evaluated using a validated component based vapor compression model. This model was treated as a black box model within the optimization framework. Optimum designs for different system configurations are presented. These optimum results were further analyzed to understand the performance tradeoff and selection criteria. The paper ends with a discussion on the use of systematic optimization for the cold climate heat pump design.

Abdelaziz, Omar [ORNL; Shen, Bo [ORNL

2012-01-01T23:59:59.000Z

411

On DC. optimization algorithms for solving minmax flow problems ?  

E-Print Network (OSTI)

Jun 17, 2011 ... Email: ldmuu@math.ac.vn. Le Quang Thuy ..... programming and DCA revisited with DC models of real world nonconvex optimization problems ...

412

On DC. optimization algorithms for solving minmax flow problems  

E-Print Network (OSTI)

Jun 16, 2011 ... math.ac.vn) ... (Difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems, ...

413

Optimizing the Squeeze Casting Process of Carbon Fiber ...  

Science Conference Proceedings (OSTI)

Numerical Modeling of Centrifugally Cast HSS Rolls · Numerical Simulation of Electro-magnetic Turbulent Inhibitor Technology in a Tundish · Optimizing the ...

414

The Gasifier Optimization and Plant Supporting Systems area focuses...  

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

Gasifier Optimization and Plant Supporting Systems area focuses on the development of technologies and models to improve the performance of advanced gasifiers. Specifically,...

415

An Exact Penalty Global Optimization Approach for Mixed-Integer ...  

E-Print Network (OSTI)

Handbook on Modelling for Discrete Optimization, Springer US, Vol. 88, pp. 39- 60, 2006. [17] Raghavachari M., On Connections Between Zero-One Integer ...

416

Key Findings from the NBI PIER Project: Optimization of Airside...  

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

reset for energy savings and to prevent operation in surge; a new way of modeling fan performance; and an optimized approach for selecting and controlling VAV boxes. The...

417

Solving Security Constrained Optimal Power Flow Problems by a ...  

E-Print Network (OSTI)

The optimal power flow (OPF) problem describes a minimum cost electricity gener- ation model that takes into account ...... Electricity Market, 2008. EEM 2008 .

418

Optimization Online Digest -- July 2003  

E-Print Network (OSTI)

Mathematical optimization for the inverse problem of intensity modulated ... The global optimization of Morse clusters by potential energy transformations

419

Optimization Online Digest -- February 2011  

E-Print Network (OSTI)

... Optimization for Power System Configuration with Renewable Energy in Remote Areas ... Robust Energy Cost Optimization of Water Distribution System with ...

420

Optimization Online Digest -- November 2004  

E-Print Network (OSTI)

Friedrich Eisenbrand, Gianpaolo Oriolo, Gautier Stauffer, Paolo Ventura. Convex and Nonsmooth Optimization Finding optimal algorithmic parameters using a ...

Note: This page contains sample records for the topic "optimization model homer" 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

Source Code Optimization and Pro ling of Energy Consumption in Embedded Systems  

E-Print Network (OSTI)

Energy Model L2 Cache Memory L1 Cache Energy Model Energy Model Processor Core Model DC-DC ConverterSource Code Optimization and Pro ling of Energy Consumption in Embedded Systems Tajana Simunic in optimizing software performance and energy in embed- ded systems. Code optimizations are applied at three

Simunic, Tajana

422

MDP Optimal Control under Temporal Logic Constraints  

E-Print Network (OSTI)

In this paper, we develop a method to automatically generate a control policy for a dynamical system modeled as a Markov Decision Process (MDP). The control specification is given as a Linear Temporal Logic (LTL) formula over a set of propositions defined on the states of the MDP. We synthesize a control policy such that the MDP satisfies the given specification almost surely, if such a policy exists. In addition, we designate an "optimizing proposition" to be repeatedly satisfied, and we formulate a novel optimization criterion in terms of minimizing the expected cost in between satisfactions of this proposition. We propose a sufficient condition for a policy to be optimal, and develop a dynamic programming algorithm that synthesizes a policy that is optimal under some conditions, and sub-optimal otherwise. This problem is motivated by robotic applications requiring persistent tasks, such as environmental monitoring or data gathering, to be performed.

Ding, Xu Chu; Belta, Calin; Rus, Daniela

2011-01-01T23:59:59.000Z

423

Building Energy Optimization Software | Department of Energy  

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

Energy Energy Optimization Software Building Energy Optimization Software BEopt 2.1 Now Available! BEopt Version 2.1 is now available and includes major features such as: mini-split heat pumps and room air conditioners (E+); new modeling inputs; component-based air leakage estimate for existing buildings; and more. Read about the new features and visit the BEopt website to download. To help meet Building America's goal to develop market-ready energy solutions that improve efficiency of new and existing homes, the National Renewable Energy Laboratory (NREL) developed the Building Energy Optimization (BEopt) software tool. This specialized computer program is designed to identify optimally efficient designs for new and existing homes at the lowest possible cost. BEopt produces detailed simulation-based analysis and design optimization

424

Optimizing luminescent solar concentrator design.  

DOE Green Energy (OSTI)

Luminescent Solar Concentrators (LSCs) use fluorescent materials and light guides to convert direct and diffuse sunlight into concentrated wavelength-shifted light that produces electrical power in small photovoltaic (PV) cells with the goal of significantly reducing the cost of solar energy utilization. In this paper we present an optimization analysis based on the implementation of a genetic algorithm (GA) subroutine to a numerical ray-tracing Monte Carlo model of an LSC, SIMSOLAR-P. The initial use of the GA implementation in SIMSOLAR-P is to find the optimal parameters of a hypothetical 'perfect luminescent material' that obeys the Kennard Stepanov (K-S) thermodynamic relationship between emission and absorption. The optimization balances the efficiency losses in the wavelength shift and PV conversion with the efficiency losses due to re-scattering of light out of the collector. The theoretical limits of efficiency are provided for one, two and three layer configurations; the results show that a single layer configuration is far from optimal and adding a second layer in the LSC with wavelength shifted material in the near infrared region significantly increases the power output, while the gain in power by adding a third layer is relatively small. The results of this study provide a theoretical upper limit to the performance of an LSC and give guidance for the properties required for luminescent materials, such as quantum nanocrystals, to operate efficiently in planar LSC configurations.

Hernandez-Noyola, H.; Potterveld, D. H.; Holt, R. J.; Darling, S. B. (Center for Nanoscale Materials); ( PHY)

2012-01-01T23:59:59.000Z

425

Cooling Plant Optimization Guide  

Science Conference Proceedings (OSTI)

Central cooling plants or district cooling systems account for 22 percent of energy costs for cooling commercial buildings. Improving the efficiency of central cooling plants will significantly impact peak demand and energy usage for both building owners and utilities. This guide identifies opportunities for optimizing a central cooling plant and provides a simplified optimization procedure. The guide focuses on plant optimization from the standpoint of minimizing energy costs and maximizing efficiencies...

1998-09-29T23:59:59.000Z

426

Optimization Online - Test  

E-Print Network (OSTI)

Jan 25, 2006 ... Test. Andrew Goldberg (goldberg ***at*** cs.wisc.edu). Abstract: Test. Keywords: Test. Category 1: Infinite Dimensional Optimization ...

427

Nonlinear Optimization Test  

E-Print Network (OSTI)

Jun 8, 2000 ... Nonlinear Optimization Test Goux Jean-Pierre Abstract : this is my abstract. Keywords : this are keywords. Citation: : this is a citation. Download ...

428

Postscript - Optimization Online  

E-Print Network (OSTI)

design of an industrial electric motor. This allows to show that ...... We consider the optimal design of Interior Permanent Magnet (IPM) syn-. chronous motors [19

429

Distributionally Robust Convex Optimization  

E-Print Network (OSTI)

function of the respective optimization problem, and the upper curve reports the out-of-sample results from a .... Duxbury Thomson Learning, 2nd edition, 2002.

430

Homotopy optimization methods for global optimization.  

SciTech Connect

We define a new method for global optimization, the Homotopy Optimization Method (HOM). This method differs from previous homotopy and continuation methods in that its aim is to find a minimizer for each of a set of values of the homotopy parameter, rather than to follow a path of minimizers. We define a second method, called HOPE, by allowing HOM to follow an ensemble of points obtained by perturbation of previous ones. We relate this new method to standard methods such as simulated annealing and show under what circumstances it is superior. We present results of extensive numerical experiments demonstrating performance of HOM and HOPE.

Dunlavy, Daniel M.; O'Leary, Dianne P. (University of Maryland, College Park, MD)

2005-12-01T23:59:59.000Z

431

Homer Glen, Illinois: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Illinois: Energy Resources Illinois: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6000317°, -87.9381112° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.6000317,"lon":-87.9381112,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

432

The Motif of Fate in Homeric Epics and Oedipus Tyrannus  

E-Print Network (OSTI)

and Myths in Ancient Greece. New Haven: Yale UniversitySacred Space in Ancient Greece. New York: Oxford Universitythe Oedipus Rex. ” Greece and Rome, Secondary Series, Vol.

Liu, Chun

2010-01-01T23:59:59.000Z

433

Modeling, Optimization and Power Efficiency Comparison of High-speed Inter-chip Electrical and Optical Interconnect Architectures in Nanometer CMOS Technologies  

E-Print Network (OSTI)

Inter-chip input-output (I/O) communication bandwidth demand, which rapidly scaled with integrated circuit scaling, has leveraged equalization techniques to operate reliably on band-limited channels at additional power and area complexity. High-bandwidth inter-chip optical interconnect architectures have the potential to address this increasing I/O bandwidth. Considering future tera-scale systems, power dissipation of the high-speed I/O link becomes a significant concern. This work presents a design flow for the power optimization and comparison of high-speed electrical and optical links at a given data rate and channel type in 90 nm and 45 nm CMOS technologies. The electrical I/O design framework combines statistical link analysis techniques, which are used to determine the link margins at a given bit-error rate (BER), with circuit power estimates based on normalized transistor parameters extracted with a constant current density methodology to predict the power-optimum equalization architecture, circuit style, and transmit swing at a given data rate and process node for three different channels. The transmitter output swing is scaled to operate the link at optimal power efficiency. Under consideration for optical links are a near-term architecture consisting of discrete vertical-cavity surface-emitting lasers (VCSEL) with p-i-n photodetectors (PD) and three long-term integrated photonic architectures that use waveguide metal-semiconductor-metal (MSM) photodetectors and either electro-absorption modulator (EAM), ring resonator modulator (RRM), or Mach-Zehnder modulator (MZM) sources. The normalized transistor parameters are applied to jointly optimize the transmitter and receiver circuitry to minimize total optical link power dissipation for a specified data rate and process technology at a given BER. Analysis results shows that low loss channel characteristics and minimal circuit complexity, together with scaling of transmitter output swing, allows electrical links to achieve excellent power efficiency at high data rates. While the high-loss channel is primarily limited by severe frequency dependent losses to 12 Gb/s, the critical timing path of the first tap of the decision feedback equalizer (DFE) limits the operation of low-loss channels above 20 Gb/s. Among the optical links, the VCSEL-based link is limited by its bandwidth and maximum power levels to a data rate of 24 Gb/s whereas EAM and RRM are both attractive integrated photonic technologies capable of scaling data rates past 30 Gb/s achieving excellent power efficiency in the 45 nm node and are primarily limited by coupling and device insertion losses. While MZM offers robust operation due to its wide optical bandwidth, significant improvements in power efficiency must be achieved to become applicable for high density applications.

Palaniappan, Arun

2010-12-01T23:59:59.000Z

434

Optimal Porosity Distribution for Minimized Ohmic Drop across a Porous Electrode  

E-Print Network (OSTI)

This paper considers the design of spatially varying porosity profiles in next-generation electrodes based on simultaneous optimization of a porous-electrode model. Model-based optimal design (not including the solid-phase ...

Braatz, Richard D.

435

Optimal consumption policies in illiquid markets  

E-Print Network (OSTI)

We investigate optimal consumption policies in the liquidity risk model introduced in Pham and Tankov (2007). Our main result is to derive smoothness results for the value functions of the portfolio/consumption choice problem. As an important consequence, we can prove the existence of the optimal control (portfolio/consumption strategy) which we characterize both in feedback form in terms of the derivatives of the value functions and as the solution of a second-order ODE. Finally, numerical illustrations of the behavior of optimal consumption strategies between two trading dates are given.

Cretarola, Alessandra; Pham, Huyên; Tankov, Peter

2008-01-01T23:59:59.000Z

436

A new modeling approach of STLF with integrated dynamics mechanism and based on the fusion of dynamic optimal neighbor phase points and ICNN  

Science Conference Proceedings (OSTI)

Based on the time evolution similarity principle of the topological neighbor phase points in the Phase Space Reconstruction (PSR), a new modeling approach of Short-Term Load Forecasting (STLF) with integrated dynamics mechanism and based on the fusion ...

Zhisheng Zhang; Yaming Sun; Shiying Zhang

2006-05-01T23:59:59.000Z

437

Afghanistan Geospatial Toolkit - Full Data | OpenEI  

Open Energy Info (EERE)

Full Data Full Data Dataset Summary Description (Abstract): This Geospatial Toolkit contains the full (with high resolution data) version of the GsT interfaced to HOMER for Afghanistan. (Purpose): The products contained on this web site were developed by the U.S. National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). (Supplemental Information): The GsT allows the user to examine the resource data in a geospatial context along with other key information relevant to renewable energy development, such as transportation networks, transmission corridors, existing power facilities, load centers, terrain conditions, and land use. Working within the GsT, the user can also incorporate location-specific data directly into NREL's Micropower Optimization Model, HOMER, to design least-cost hybrid renewable power systems to meet electric-load requirements at the village level.

438

Pakistan Geospatial Toolkit - Data Lite | OpenEI  

Open Energy Info (EERE)

Data Lite Data Lite Dataset Summary Description (Abstract): This Geospatial Toolkit contains the lite (with lower resolution data) version of the GsT interfaced to HOMER for Pakistan. (Purpose): The products contained on this web site were developed by the U.S. National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). (Supplemental Information): The GsT allows the user to examine the resource data in a geospatial context along with other key information relevant to renewable energy development, such as transportation networks, transmission corridors, existing power facilities, load centers, terrain conditions, and land use. Working within the GsT, the user can also incorporate location-specific data directly into NREL's Micropower Optimization Model, HOMER, to design least-cost hybrid renewable power systems to meet electric-load requirements at the village level.

439

Pakistan Geospatial Toolkit - Full Data | OpenEI  

Open Energy Info (EERE)

Full Data Full Data Dataset Summary Description (Abstract): This Geospatial Toolkit contains the full (with high resolution data) version of the GsT interfaced to HOMER for Pakistan. (Purpose): The products contained on this web site were developed by the U.S. National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). (Supplemental Information): The GsT allows the user to examine the resource data in a geospatial context along with other key information relevant to renewable energy development, such as transportation networks, transmission corridors, existing power facilities, load centers, terrain conditions, and land use. Working within the GsT, the user can also incorporate location-specific data directly into NREL's Micropower Optimization Model, HOMER, to design least-cost hybrid renewable power systems to meet electric-load requirements at the village level.

440

Afghanistan Geospatial Toolkit - Data Lite | OpenEI  

Open Energy Info (EERE)

Data Lite Data Lite Dataset Summary Description (Abstract): This Geospatial Toolkit contains the lite (with lower resolution data) version of the GsT interfaced to HOMER for Afghanistan. (Purpose): The products contained on this web site were developed by the U.S. National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). (Supplemental Information): The GsT allows the user to examine the resource data in a geospatial context along with other key information relevant to renewable energy development, such as transportation networks, transmission corridors, existing power facilities, load centers, terrain conditions, and land use. Working within the GsT, the user can also incorporate location-specific data directly into NREL's Micropower Optimization Model, HOMER, to design least-cost hybrid renewable power systems to meet electric-load requirements at the village level.

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


441

Optimized Triple-Junction Solar Cells Using Inverted Metamorphic Approach (Presentation)  

DOE Green Energy (OSTI)

Record efficiencies with triple-junction inverted metamorphic designs, modeling useful to optimize, and consider operating conditions before choosing design.

Geisz, J. F.

2008-11-01T23:59:59.000Z

442

Simulation and Optimization of Wind Farm Operations under Stochastic Conditions  

E-Print Network (OSTI)

This dissertation develops a new methodology and associated solution tools to achieve optimal operations and maintenance strategies for wind turbines, helping reduce operational costs and enhance the marketability of wind generation. The integrated framework proposed includes two optimization models for enabling decision support capability, and one discrete event-based simulation model that characterizes the dynamic operations of wind power systems. The problems in the optimization models are formulated as a partially observed Markov decision process to determine an optimal action based on a wind turbine's health status and the stochastic weather conditions. The rst optimization model uses homogeneous parameters with an assumption of stationary weather characteristics over the decision horizon. We derive a set of closed-form expressions for the optimal policy and explore the policy's monotonicity. The second model allows time-varying weather conditions and other practical aspects. Consequently, the resulting strategy are season-dependent. The model is solved using a backward dynamic programming method. The bene ts of the optimal policy are highlighted via a case study that is based upon eld data from the literature and industry. We nd that the optimal policy provides options for cost-e ective actions, because it can be adapted to a variety of operating conditions. Our discrete event-based simulation model incorporates critical components, such as a wind turbine degradation model, power generation model, wind speed model, and maintenance model. We provide practical insights gained by examining di erent maintenance strategies. To the best of our knowledge, our simulation model is the rst discrete-event simulation model for wind farm operations. Last, we present the integration framework, which incorporates the optimization results in the simulation model. Preliminary results reveal that the integrated model has the potential to provide practical guidelines that can reduce the operation costs as well as enhance the marketability of wind energy.

Byon, Eunshin

2010-05-01T23:59:59.000Z

443

Optimal Deterministic and Stochastic Macroeconomic Policies for Slovenia: An Application of the OPTCON Algorithm  

Science Conference Proceedings (OSTI)

This paper reports about applications of optimal control theory to the analysis of macroeconomic policies for Slovenia during its way into the Euro Area. For this purpose, the model SLOPOL4, a macroeconometric model for Slovenia, is used. Optimal policies ... Keywords: C5, E5, E6, Econometric model, Macroeconomic policy, O5, Optimal control, Sensitivity analysis, Slovenia, Stochastic control

Reinhard Neck; Gottfried Haber; Klaus Weyerstrass

2010-06-01T23:59:59.000Z

444

Proceedings of the Third International Conference on Modeling, Simulation and Applied Optimization Sharjah, U.A.E January 20-22, 2009  

E-Print Network (OSTI)

investigated, as evidenced by the shear volume of publications on the topic. However, still there remains Sharjah, U.A.E January 20-22, 2009 Paper ID: 42423 ICMSA0'09-1 A RIGOROUS DIFFUSIVITY EQUATION model. 1. INTRODUCTION Rock and fluid properties play an important role during fluid flow in porous

Hossain, M. Enamul

445

Synthesis of optimal adsorptive carbon capture processes.  

SciTech Connect

Solid sorbent carbon capture systems have the potential to require significantly lower regeneration energy compared to aqueous monoethanol amine (MEA) systems. To date, the majority of work on solid sorbents has focused on developing the sorbent materials themselves. In order to advance these technologies, it is necessary to design systems that can exploit the full potential and unique characteristics of these materials. The Department of Energy (DOE) recently initiated the Carbon Capture Simulation Initiative (CCSI) to develop computational tools to accelerate the commercialization of carbon capture technology. Solid sorbents is the first Industry Challenge Problem considered under this initiative. An early goal of the initiative is to demonstrate a superstructure-based framework to synthesize an optimal solid sorbent carbon capture process. For a given solid sorbent, there are a number of potential reactors and reactor configurations consisting of various fluidized bed reactors, moving bed reactors, and fixed bed reactors. Detailed process models for these reactors have been modeled using Aspen Custom Modeler; however, such models are computationally intractable for large optimization-based process synthesis. Thus, in order to facilitate the use of these models for process synthesis, we have developed an approach for generating simple algebraic surrogate models that can be used in an optimization formulation. This presentation will describe the superstructure formulation which uses these surrogate models to choose among various process alternatives and will describe the resulting optimal process configuration.

chang, Y.; Cozad, A.; Kim, H.; Lee, A.; Vouzis, P.; Konda, M.; Simon, A.; Sahinidis, N.; Miller, D.

2011-01-01T23:59:59.000Z

446

Maximin D-optimal designs for binary longitudinal responses  

Science Conference Proceedings (OSTI)

Optimal design problems for logistic mixed effects models for binary longitudinal responses are considered. A function of the approximate information matrix under the framework of the Penalized Quasi Likelihood (PQL) and a generalized linear mixed model ...

Fetene B. Tekle; Frans E. S. Tan; Martijn P. F. Berger

2008-08-01T23:59:59.000Z

447

Optimal Detection of Regional Trends Using Global Data  

Science Conference Proceedings (OSTI)

A complete accounting of model uncertainty in the optimal detection of climate signals requires normalization of the signals produced by climate models; however, there is not yet a well-defined rule for the normalization. This study seeks to ...

Stephen S. Leroy; James G. Anderson

2010-08-01T23:59:59.000Z

448

Optimization Online - Optimal Job Scheduling with Day-ahead Price ...  

E-Print Network (OSTI)

Aug 17, 2011 ... Optimization Online. Optimal Job Scheduling with Day-ahead Price and Random Local Distributed Generation: A Two-stage Robust Approach.

449

Optimal Stopping with Information Constraint  

SciTech Connect

We study the optimal stopping problem proposed by Dupuis and Wang (Adv. Appl. Probab. 34:141-157, 2002). In this maximization problem of the expected present value of the exercise payoff, the underlying dynamics follow a linear diffusion. The decision maker is not allowed to stop at any time she chooses but rather on the jump times of an independent Poisson process. Dupuis and Wang (Adv. Appl. Probab. 34:141-157, 2002), solve this problem in the case where the underlying is a geometric Brownian motion and the payoff function is of American call option type. In the current study, we propose a mild set of conditions (covering the setup of Dupuis and Wang in Adv. Appl. Probab. 34:141-157, 2002) on both the underlying and the payoff and build and use a Markovian apparatus based on the Bellman principle of optimality to solve the problem under these conditions. We also discuss the interpretation of this model as optimal timing of an irreversible investment decision under an exogenous information constraint.

Lempa, Jukka, E-mail: jlempa@cma.uio.no [University of Oslo, Centre of Mathematics for Applications (Norway)

2012-10-15T23:59:59.000Z

450

Phi-array: A novel method for fitness visualization and decision making in evolutionary design optimization  

Science Conference Proceedings (OSTI)

There is a growing interest in integrating model based evolutionary optimization in engineering design decision making for effective search of the solution space. Most applications of evolutionary optimization are concerned with the search for optimal ... Keywords: Artificial lighting, Decision making, Design exploration, Evolutionary optimization, Fitness visualization, Phi-array

Monjur Mourshed; Shariful Shikder; Andrew D. F. Price

2011-10-01T23:59:59.000Z

451

Risk and robust optimization  

E-Print Network (OSTI)

This thesis develops and explores the connections between risk theory and robust optimization. Specifically, we show that there is a one-to-one correspondence between a class of risk measures known as coherent risk measures ...

Brown, David Benjamin, Ph. D. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

452

Polyethylene fiber drawing optimization  

E-Print Network (OSTI)

Polymer fiber drawing creates fibers with enhanced thermal conductivity and strength compared to bulk polymer because drawing aligns the molecular chains. I optimize the polymer fiber drawing method in order to achieve ...

Chiloyan, Vazrik

2011-01-01T23:59:59.000Z

453

Optimizing workflow data footprint  

Science Conference Proceedings (OSTI)

In this paper we examine the issue of optimizing disk usage and scheduling large-scale scientific workflows onto distributed resources where the workflows are data-intensive, requiring large amounts of data storage, and the resources have limited storage ...

Gurmeet Singh; Karan Vahi; Arun Ramakrishnan; Gaurang Mehta; Ewa Deelman; Henan Zhao; Rizos Sakellariou; Kent Blackburn; Duncan Brown; Stephen Fairhurst; David Meyers; G. Bruce Berriman; John Good; Daniel S. Katz

2007-12-01T23:59:59.000Z

454

Optimal transport strategies  

E-Print Network (OSTI)

It is generally presupposed that the shapes and mechanisms encountered in nature have evolved in such a way as to maximize the robustness of a species. However, most such optimization problems arising in biology are ...

Kim, Wonjung, Ph. D. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

455

Optimal distance separating halfspace  

E-Print Network (OSTI)

Plastria & Carrizosa / Optimal distance separating halfspace. 2. 1 Gauge Distance to a Hyperplane. Let ? be a gauge on Rd with unit ball B, i.e. B is a compact ...

456

Optimization of Hot Standby  

E-Print Network (OSTI)

Energy Optimization is one of the key issues facing the chemical process industries today. The drivers are both economic and environmental. Utilities are among the top operating expenses for manufacturers, reflecting elevated energy prices and the energy

de Souza, J.; Holden, D.

2004-01-01T23:59:59.000Z

457

1052.ps - Optimization Online  

E-Print Network (OSTI)

a natural approach of formulating problems where it is necessary to simultaneously. optimize the system ... deign of gas or water transmission networks. ..... region of the linear programming relaxation is compressed because of the decrease.

458

1093.ps - Optimization Online  

E-Print Network (OSTI)

The Semidefinite Program (SDP) is a fundamental problem in mathematical .... SDPs arising from quantum chemistry [11, 24] and polynomial optimization [17, 19], ...... R. Saigal and L. Vandenberghe, Handbook of Semidefinite Programming ,.

459

View - Optimization Online  

E-Print Network (OSTI)

accuracy and v(xk) is not sufficiently small, or if the new constraint violation satisfies ...... RRR 12-94, Rutgers University, New Brunswick, NJ, USA. ... Nonlinear Optimization, Technical Report, Rutherford Appleton Laboratory, Chilton, Ox-.

460

Optimal Parametric Auctions  

E-Print Network (OSTI)

We study the problem of profit maximization in auctions of one good where the buyers' valuations are drawn from independent distributions. When these distributions are known to the seller, Myerson's optimal auction is a ...

Azar, Pablo

2012-05-08T23:59:59.000Z

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


461

Optimization Online Digest -- January 2001  

E-Print Network (OSTI)

E. Alper Yildirim, Michael J. Todd. Network Optimization Newton Algorithms for Large-Scale Strictly Convex Separable Network Optimization Aleksandar Donev  ...

462

Optimization of Lithium Titanate Electrodes  

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

Optimization of Lithium Titanate Electrodes Title Optimization of Lithium Titanate Electrodes Publication Type Journal Article Year of Publication 2006 Authors Christensen, John,...

463

Mixed-Integer Nonlinear Optimization  

E-Print Network (OSTI)

Nov 22, 2012 ... Our goal is to find the minimum cost design by choosing optimal ..... et al., 1998), the optimal response to catastrophic oil spills such as the ...

464

Optimization Online Digest -- January 2013  

E-Print Network (OSTI)

Optimization Online Digest — January 2013. Applications — OR and Management Sciences A two-step optimization approach for job shop scheduling problem ...

465

Regional refining models for alternative fuels using shale and coal synthetic crudes: identification and evaluation of optimized alternative fuels. Annual report, March 20, 1979-March 19, 1980  

DOE Green Energy (OSTI)

The initial phase has been completed in the project to evaluate alternative fuels for highway transportation from synthetic crudes. Three refinery models were developed for Rocky Mountain, Mid-Continent and Great Lakes regions to make future product volumes and qualities forecast for 1995. Projected quantities of shale oil and coal oil syncrudes were introduced into the raw materials slate. Product slate was then varied from conventional products to evaluate maximum diesel fuel and broadcut fuel in all regions. Gasoline supplement options were evaluated in one region for 10% each of methanol, ethanol, MTBE or synthetic naphtha in the blends along with syncrude components. Compositions and qualities of the fuels were determined for the variation in constraints and conditions established for the study. Effects on raw materials, energy consumption and investment costs were reported. Results provide the basis to formulate fuels for laboratory and engine evaluation in future phases of the project.

Sefer, N.R.; Russell, J.A.

1980-11-01T23:59:59.000Z

466

Control vector optimal structure for minimal-time networks optimization  

Science Conference Proceedings (OSTI)

The methodology for the electronic networks optimization was elaborated by means of the optimal control theory approach. In this case the problem of the electronic system design is formulated as a classical problem of functional minimization of the optimal ... Keywords: Lyapunov function, circuit optimization, control theory application, minimal-time system design

Alexander Zemliak; Miguel Torres; Antonio Michua

2010-01-01T23:59:59.000Z

467

Optimal Carbon Capture and Storage policies  

E-Print Network (OSTI)

Following the IPCC's report (2005), which recommended the development and the use of carbon capture and sequestration (CCS) technologies in order to achieve the environmental goals, de ned by the Kyoto Protocol, the issue addressed in this paper concerns the optimal strategy regarding the long-term use of CCS technologies. The aim of this paper is to study the optimal carbon capture and sequestration policy. The CCS technologies has motivated a number of empirical studies, via complex integrated assessment models. This literature always considers that the existing technology allows sequestrating a fraction of the carbon emissions and concludes that the early introduction of sequestration can lead to a substantial decrease in the cost of environmental externality. But, the level of complexity of such operational models, aimed at de ning some speci c climate policies. We develop a very simple growth model so as to obtain analytical and tractable results and therefore exhibit the main driving forces that should determine the optimal CSS policy. We show within this stylized framework that, under some conditions on the cost of extractions, CSS may be a long-term solution for the carbon emissions problem. Besides, it is also shown that the social planner will optimally choose to decrease the rate of capture and sequestration. Besides, we also introduce the decentralization of this simple economy, by considering the individual program of the fossil resource-holder and the one of the representative consumer. This helps us to compute analytically the optimal environmental policy, that is the optimal tax scheme, and also the optimal fossil fuel price pro le.

Alain Ayong; Le Kama; Mouez Fodha; Gilles La Orgue

2009-01-01T23:59:59.000Z

468

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

E-Print Network (OSTI)

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

Gerhold, Stefan; Schachermayer, Walter

2010-01-01T23:59:59.000Z

469

Modeling and optimization of operating parameters for a test-cell option of the Fusion Power Demonstration-II tandem mirror design  

SciTech Connect

Models of tandem mirror devices operated with a test-cell insert have been used to calculate operating parameters for FPD-II+T, an upgrade of the Fusion Power Demonstration-II device. Two test-cell configurations were considered, one accommodating two 1.5 m blanket test modules and the other having four. To minimize the cost of the upgrade, FPD-II+T utilizes the same coil arrangement and machine dimensions outside of the test cell as FPD-II, and the requirements on the end cell systems have been held near or below those for FPD-II. The maximum achievable test cell wall loading found for the short test-cell was 3.5 MW/m/sup 2/ while 6.0 MW/m/sup 2/ was obtainable in the long test-cell configuration. The most severe limitation on the achievable wall loading is the upper limit on test-cell beta set by MHD stability calculations. Modification of the shape of the magnetic field in the test-cell by improving the magnet design could raise this beta limit and lead to improved test-cell performance.

Haney, S.W.; Fenstermacher, M.E.

1985-04-03T23:59:59.000Z

470

Hopper Performance and Optimization  

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

Optimization Optimization Performance and Optimization Compiler Comparisons Comparison of different compilers with different options on several benchmarks. Read More » Using OpenMP Effectively Performance implications and case studies of codes combining MPI and OpenMP Read More » Reordering MPI Ranks Reordering MPI ranks can result in improved application performance depending on the communication patterns of the application. Read More » Application Performance Variability on Hopper How an application is placed across Hopper's roughly 6300 compute nodes can affect its performance. See a study of application runtimes vs node placement. Read More » Hopper Performance Monitoring Benchmarking performance of scientific applications on Hopper Read More » Hopper:Improving I/O performance to GSCRATCH and PROJECT

471

Reverse Osmosis Optimization  

SciTech Connect

This technology evaluation was prepared by Pacific Northwest National Laboratory on behalf of the U.S. Department of Energy’s Federal Energy Management Program (FEMP). ¬The technology evaluation assesses techniques for optimizing reverse osmosis (RO) systems to increase RO system performance and water efficiency. This evaluation provides a general description of RO systems, the influence of RO systems on water use, and key areas where RO systems can be optimized to reduce water and energy consumption. The evaluation is intended to help facility managers at Federal sites understand the basic concepts of the RO process and system optimization options, enabling them to make informed decisions during the system design process for either new projects or recommissioning of existing equipment. This evaluation is focused on commercial-sized RO systems generally treating more than 80 gallons per hour.¬

McMordie-Stoughton, Katherine L.; Duan, Xiaoli; Wendel, Emily M.

2013-08-26T23:59:59.000Z

472

Lattice Boltzmann Simulation Optimization  

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

Boltzmann Boltzmann Simulation Optimization on Leading Multicore Platforms Selected as Best Paper in Application Track, IPDPS 2008, April 14-28, Miami, Florida, USA Samuel Williams † , Jonathan Carter , Leonid Oliker John Shalf , Katherine Yelick † CRD/NERSC, Lawrence Berkeley National Laboratory Berkeley, CA 94720 † CS Division, University of California at Berkeley, Berkeley, CA 94720 {SWWilliams, JTCarter, LOliker, JShalf, KAYelick}@lbl.gov Abstract We present an auto-tuning approach to optimize ap- plication performance on emerging multicore architec- tures. The methodology extends the idea of search- based performance optimizations, popular in linear al- gebra and FFT libraries, to application-specific com- putational kernels. Our work applies this strategy to a lattice Boltzmann application (LBMHD) that histor- ically has made poor use of scalar microprocessors

473

Optimization Online - Optimal Scenario Tree Reduction for ...  

E-Print Network (OSTI)

Nov 21, 2008 ... Abstract: The mid-term operation planning of hydro-thermal power ... Chain of Models for Setting the Energy Dispatch and Spot Price in the ...

474

The impact of environmental factors on human life-history evolution: an optimization  

E-Print Network (OSTI)

life-history evolution, infection stresses, life expectancy, optimal energy allocation, size is vtEt, the amount of energy allocated to Evolutionary optimization model of human life history 1201, E.V. 2001. Evolution of life history: models based on optimization of energy allocation (in Russian

475

Combining stochastic dynamic programming (SDP) and artificial neural networks (ANN) in optimal reservoir operation  

Science Conference Proceedings (OSTI)

After development of any optimization model a post-optimization simulation is needed for two purposes: 1) Checking and evaluating of system performance and 2) Computing performance criteria. The common rule is developing a simulation model in the form ... Keywords: ANN, SDP, optimal reservoir operation

Omid Bozorg Haddad; Saeed Alimohammadi

2005-06-01T23:59:59.000Z

476

Distributed Optimization System  

DOE Patents (OSTI)

A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.

Hurtado, John E. (Albuquerque, NM); Dohrmann, Clark R. (Albuquerque, NM); Robinett, III, Rush D. (Tijeras, NM)

2004-11-30T23:59:59.000Z

477

Energy Harvesting Communication Networks: Optimization and Demonstration  

E-Print Network (OSTI)

of energy. E-CROPS will combine theoret- ical modelling and performance analysis with experimen- tal1 Energy Harvesting Communication Networks: Optimization and Demonstration (The E-CROPS Project of Electrical Engineering, Imperial College London, London, UK 2 Mobile Communications Department, Institut

Uysal-Biyikoglu, Elif

478

Saturated poroelastic actuators generated by topology optimization  

Science Conference Proceedings (OSTI)

In this paper the fluid-structure interaction problem of a saturated porous media is considered. The pressure coupling properties of porous saturated materials change with the microstructure and this is utilized in the design of an actuator using a topology ... Keywords: Coupled problems, FSI, Homogenization, Multi-scale modeling, Topology optimization

Casper Schousboe Andreasen; Ole Sigmund

2011-05-01T23:59:59.000Z

479

The optimal harvesting problem under risk aversion  

E-Print Network (OSTI)

Apr 3, 2012 ... cost of thermal fuel and penalties coming from energy shortages Guigues and ..... dynamics has been extensively used to model asset prices in financial markets and therefore represents a ..... any information about what the optimal policy is when it does not hold. ..... We perform asymptotic analysis on the.

480

Variables optimization of building air conditioning system  

Science Conference Proceedings (OSTI)

A heating and climatizer system based on selective absorption of solar energy by a selective collector. The experimental study shows that the performance of this system depends on several variables: the nature of the colporteur fluid, the flow of the ... Keywords: heating and climatisation, modelation and optimization, solar energy

Marius-Constantin Popescu; Cornelia Aida Bulucea; Gheorghe Manolea; Cristian Vladu

2009-10-01T23:59:59.000Z

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


481

Optimization of students' anti-epidemic prophylaxis  

Science Conference Proceedings (OSTI)

A possibility of applying a method of optimal control theory to constructing economical modes of students' prophylaxis during a seasonal growth of acute respiratory diseases is studied. A model of seasonal growth is represented and two schemes are compared: ... Keywords: 02.30.Yy

I. D. Kolesin; E. M. Zhitkova

2008-07-01T23:59:59.000Z

482

Robust Portfolio Optimization with Derivative Insurance Guarantees  

E-Print Network (OSTI)

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

Steve Zymler; Berç Rustem; Daniel Kuhn

2010-01-01T23:59:59.000Z

483

Optimizing sensor movement planning for energy efficiency  

Science Conference Proceedings (OSTI)

Conserving the energy for motion is an important yet not-well-addressed problem in mobile sensor networks. In this article, we study the problem of optimizing sensor movement for energy efficiency. We adopt a complete energy model to characterize the ... Keywords: Mobile sensor, energy efficiency

Guiling Wang; Mary Jane Irwin; Haoying Fu; Piotr Berman; Wensheng Zhang; Tom La Porta

2011-02-01T23:59:59.000Z

484

A unified optimization framework for robust pseudo-relevance feedback algorithms  

Science Conference Proceedings (OSTI)

We present a flexible new optimization framework for finding effective, reliable pseudo-relevance feedback models that unifies existing complementary approaches in a principled way. The result is an algorithmic approach that not only brings together ... Keywords: optimization, query expansion

Joshua V. Dillon; Kevyn Collins-Thompson

2010-10-01T23:59:59.000Z