Powered by Deep Web Technologies
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.


1

HOMER® Micropower Optimization Model  

SciTech Connect (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

Using HOMER Software, NREL's Micropower Optimization Model, to Explore the Role of Gen-sets in Small Solar Power Systems; Case Study: Sri Lanka  

SciTech Connect (OSTI)

This paper discusses using HOMER Software, NREL's Micropower Optimization Model, to explore the role of gen-sets in small solar power systems in Sri Lanka.

Givler, T.; Lilienthal, P.

2005-05-01T23:59:59.000Z

3

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

4

Building Energy Software Tools Directory: HOMER  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

5

Optimization and life-cycle cost of health clinic PV system for a rural area in southern Iraq using HOMER software  

SciTech Connect (OSTI)

This paper addresses the need for electricity of rural areas in southern Iraq and proposes a photovoltaic (PV) solar system to power a health clinic in that region. The total daily health clinic load is 31.6 kW h and detailed loads are listed. The National Renewable Energy Laboratory (NREL) optimization computer model for distributed power, ''HOMER,'' is used to estimate the system size and its life-cycle cost. The analysis shows that the optimal system's initial cost, net present cost, and electricity cost is US$ 50,700, US$ 60,375, and US$ 0.238/kW h, respectively. These values for the PV system are compared with those of a generator alone used to supply the load. We found that the initial cost, net present cost of the generator system, and electricity cost are US$ 4500, US$ 352,303, and US$ 1.332/kW h, respectively. We conclude that using the PV system is justified on humanitarian, technical, and economic grounds. (author)

Al-Karaghouli, Ali; Kazmerski, L.L. [National Renewable Energy Laboratory, 1617 Cole Blvd., Golden, CO 80401 (United States)

2010-04-15T23:59:59.000Z

6

Renewable Energy Sources Optimization: A Micro-Grid Model Design  

Science Journals Connector (OSTI)

Abstract This paper analyzes the possibility to develop the simple micro-grid model in optimizing the utilization of local renewable energy for on-grid area. The proposed micro-grid model integrates the power plants driven by renewable energy sources employing micro hydro (MHP) and photovoltaic system (PV) which is connected to grid system. This model is analyzed using HOMER and MATLAB software. Based on the load profiles and the availability of water resources, the HOMER simulates the proposed micro-grid model with three options of MHP capacity. The simulation results show that the micro-grid model with the largest capacity MHP produced the lowest energy cost, greatest reduction of CO2 emission, and largest fraction of renewable energy. However, these result required the expensive initial capital cost. In addition, the PV power generation was always recommended with a minimum capacity. Hence, MATLAB results show the performances of the power plants with renewable energy sources were used maximally.

R. Nazir; H.D. Laksono; E.P. Waldi; E. Ekaputra; P. Coveria

2014-01-01T23:59:59.000Z

7

Wind and time in Homeric epic  

E-Print Network [OSTI]

73–83. Scott, W. C. 1966. “Wind Imagery in the Oresteia. ”30–35; West 1961: 133–36. Wind and Time in Homeric Epic ———56. Stern, L. 2004. “‘Paths That Wind through the Thicket of

Purves, AC

2010-01-01T23:59:59.000Z

8

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

9

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

SciTech Connect (OSTI)

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

10

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":""}]}

11

Optimization Online - Multilevel Optimization Modeling for Risk ...  

E-Print Network [OSTI]

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

Jonathan Eckstein

12

Research and Information Services Homer Babbidge Library University of Connecticut  

E-Print Network [OSTI]

Research and Information Services Homer Babbidge Library · University of Connecticut University of Connecticut Index to the Early American Newspaper Microfilm Collection in the Homer Babbidge Library Compiled Connecticut, Delaware, District of Columbia, Georgia, Maine, Massachusetts, New Hampshire, New York, North

Alpay, S. Pamir

13

Optimization Online - Python Optimization Modeling Objects (Pyomo)  

E-Print Network [OSTI]

Dec 30, 2009 ... Abstract: We describe Pyomo, an open source tool for modeling optimization applications in Python. Pyomo can be used to de fine symbolic ...

William Hart

2009-12-30T23:59:59.000Z

14

Optimization of Variational Boussinesq Models  

E-Print Network [OSTI]

Optimization of Variational Boussinesq Models 2 4 6 8 10 2 4 6 8 10 0 0.5 1 1.5 2 1 2 Kapp -Kex 0 of Arts and Sciences). Ivan Lakhturov: Optimization of Variational Boussinesq Models c 2012 Printed Boussinesq Model (VBM). The VBM is a model for waves above a layer of ideal fluid, which conserves mass

Al Hanbali, Ahmad

15

Integration of renewable energy in microgrids coordinated with demand response resources: Economic evaluation of a biomass gasification plant by Homer Simulator  

Science Journals Connector (OSTI)

Abstract This paper deals with how demand response can contribute to the better integration of renewable energy resources such as wind power, solar, small hydro, biomass and CHP. In particular, an economic evaluation performed by means of the micro-power optimization model HOMER Energy has been done, considering a micro-grid supplied by a biomass gasification power plant, operating isolated to the grid and in comparison with other generation technologies. Different scenarios have been simulated considering variations in the power production of the gasified biomass generator and different solutions to guarantee the balance generation/consumption are analyzed, demonstrating as using demand response resources is much more profitable than producing this energy by other conventional technologies by using fossil fuels.

Lina Montuori; Manuel Alcázar-Ortega; Carlos Álvarez-Bel; Alex Domijan

2014-01-01T23:59:59.000Z

16

Geology of the Homer Martin Ranch Area, Mason County, Texas  

E-Print Network [OSTI]

angle bend in the Llano River~ the southwest corner i. s a right angle bend in the east fork of Panther Creek O?3 of a mile east of the Junction of the east and west forks~ the northeast corner is the ]unction of Comanche Creek with the Llano River... geologic study of an area that Joins the Homer Martin Ranch crea on the north, Bryant (1959) did a similar study of the Schep-Panther Creek area that )oins the Homer Martin Ranch area on the west. After a study of the Hickory sandstone, Goolsby (lo57...

Pool, Alexander Stuart

2012-06-07T23:59:59.000Z

17

Toward optimized code generation through model-based optimization  

E-Print Network [OSTI]

Toward optimized code generation through model- based optimization Asma Charfi, Chokri Mraidha with in RTES development is linked to the optimization of their software part. Although automatic code generation and the use of optimizing compilers bring some answers to application optimization issue, we

Paris-Sud XI, Université de

18

Beyond the Generation of Leaves: The Imagery of Trees and Human Life in Homer  

E-Print Network [OSTI]

overcome by his doom, went to Hades, and Gerenian Nestor inHomeric Hymn to Demeter where Hades abducts Persephone from

Stein, Charles David

2013-01-01T23:59:59.000Z

19

Optimal consumption strategies under model uncertainty  

E-Print Network [OSTI]

Optimal consumption strategies under model uncertainty Christian Burgert, Ludger R of finding optimal consumption strategies in an incomplete semimartingale market model under model uncertainty. The quality of a consumption strategy is measured by not only one probability measure

Rüschendorf, Ludger

20

Rural area application of HOMER software for feasibility analysis of hybrid energy system with an improved approach  

Science Journals Connector (OSTI)

For a power supply in a remote rural area where a grid supply is infeasible, a hybrid energy system consisting of a renewable energy mix, with a backup generation, could be a viable alternative. Feasibility analysis and determination of optimal combination of such a system is a complex task owing to the uncertain nature of renewable energies, load demand uncertainty, non-linear characteristic of components and interdependency of process components. HOMER software performs this complicated task in an easy and accurate way by economically analysing various possible alternatives and sorting them out for optimality. However the limitation of results for optimality determination based on single criteria has been improved in the present paper using analytic hierarchy process (AHP). A rural study area has been identified for validation of proposed methodology. The approach provides the most optimal hybrid energy system for the selected study area accommodating many aspects of analysis allowing suitable weightage to each of them.

Abha Rajoriya; Eugene Fernandez

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.


21

Nuclear Design of the HOMER-15 Mars Surface Fission Reactor  

SciTech Connect (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

22

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

23

Optimization Modeling Languages Emmanuel Fragni`ere  

E-Print Network [OSTI]

Optimization Modeling Languages Emmanuel Fragni`ere HEC, Department of Management, University, 1999 1 #12;Abstract The access to advanced optimization software needs more and more sophisticated modeling tools. Optimization modeling languages are tools that facilitate the decision making process based

Gondzio, Jacek

24

Python Optimization Modeling Objects (Pyomo)  

E-Print Network [OSTI]

Dec 29, 2009 ... The introduction of Pyomo was motivated by a variety of factors that have impacted ..... detection of available optimizers, conversion to file formats needed by ..... Company, for the United States Department of Energy's National.

2009-12-29T23:59:59.000Z

25

Optimizing Probabilistic Models for Relational Sequence Learning  

E-Print Network [OSTI]

Optimizing Probabilistic Models for Relational Sequence Learning Nicola Di Mauro, Teresa M features, a feature #12;2 Nicola Di Mauro, Teresa M.A. Basile, Stefano Ferilli, and Floriana Esposito

Di Mauro, Nicola

26

Nonlinear Optimization in Modeling Environments  

E-Print Network [OSTI]

Dec 16, 2004 ... processes, including also living organisms of all scales. .... of a complex system of program code, stochastic simulation, .... Maple (Maplesoft, 2004), Mathematica (Wolfram Research, 2004), and MATLAB (The ..... Edgar, T.F., Himmelblau, D.M., and Lasdon, L.S. (2001) Optimization of Chemical Processes.

Administrator

2005-01-26T23:59:59.000Z

27

Study on Revolving Reserve Optimization Model Considering Demand Response  

Science Journals Connector (OSTI)

Traditional dispatching model could not suit the requirement in power market, optimal dispatching model considering demand response has been established by using optimal theories...

Na Yu; Guoqing Li

2013-01-01T23:59:59.000Z

28

Modeling and optimization of HVAC energy consumption  

Science Journals Connector (OSTI)

A data-driven approach for minimization of the energy to air condition a typical office-type facility is presented. Eight data-mining algorithms are applied to model the nonlinear relationship among energy consumption, control settings (supply air temperature and supply air static pressure), and a set of uncontrollable parameters. The multiple-linear perceptron (MLP) ensemble outperforms other models tested in this research, and therefore it is selected to model a chiller, a pump, a fan, and a reheat device. These four models are integrated into an energy optimization model with two decision variables, the setpoint of the supply air temperature and the static pressure in the air handling unit. The model is solved with a particle swarm optimization algorithm. The optimization results have demonstrated the total energy consumed by the heating, ventilation, and air-conditioning system is reduced by over 7%.

Andrew Kusiak; Mingyang Li; Fan Tang

2010-01-01T23:59:59.000Z

29

Modeling and Optimization of SemiModeling and Optimization of SemiModeling and Optimization of SemiModeling and Optimization of Semi----Interpenetrating Polymer Network (SIPN)Interpenetrating Polymer Network (SIPN)Interpenetrating Polymer Network (SIPN)In  

E-Print Network [OSTI]

Modeling and Optimization of SemiModeling and Optimization of SemiModeling and Optimization of SemiModeling and Optimization of Semi---- Interpenetrating Polymer Network (SIPN)Interpenetrating Polymer Network (SIPN suspension polymerization -- In situ reaction Monomer Initiator Polymerization reactor Project Overview 4

Grossmann, Ignacio E.

30

Optimal Structural Nested Models for Optimal Sequential Decisions  

Science Journals Connector (OSTI)

I describe two new methods for estimating the optimal treatment regime (equivalently, protocol, plan or strategy) from very high dimesional observational and experimental data: (i) g-estimation of an optimal doub...

James M. Robins

2004-01-01T23:59:59.000Z

31

Chapter Four - Model Transformation Using Multiobjective Optimization  

Science Journals Connector (OSTI)

Abstract The evolution of languages and software architectures provides a strong motivation to migrate/transform existing software systems. Thus, more attention is paid to the transformation aspects in model-driven engineering (MDE) along with the growing importance of modeling in software development. However, a major concern in MDE is how to ensure the quality of the model transformation mechanisms. Most of existing work in model transformation has relied on defining languages to express transformation rules. The main goal of existing transformation approaches is to provide rules generating target models, from source models, without errors. However, other important objective is how to minimize the complexity of transformation rules (e.g., the number of rules and number of matching in the same rule) while maximizing the quality of target models. In fact, reducing rule complexity and improving target model quality are important to (1) make rules and target models easy to understand and evolve, (2) find transformation errors easily, and (3) generate optimal target models. In this chapter, we consider the transformation mechanism as a multiobjective problem where the goal is to find the best rules maximizing target model quality and minimizing rule complexity. Our approach starts by randomly generating a set of rules, executing them to generate some target models. Of course, only solutions ensuring full correctness are considered during the optimization process. Then, the quality of the proposed solution (rules) is evaluated by (1) calculating the number of rules and matching metamodels in each rule and (2) assessing the quality of generated target models using a set of quality metrics. To this end, we use the nondominated sorting genetic algorithm (NSGA-II) to automatically generate the best transformation rules satisfying the two conflicting criteria. We report the results of our validation using three different transformation mechanisms. The best solutions provided well-designed target models with a minimal set of rules.

Mohamed Wiem Mkaouer; Marouane Kessentini

2014-01-01T23:59:59.000Z

32

Mathematical Modeling for CostMathematical Modeling for Cost Optimization of PV RecyclingOptimization of PV Recycling  

E-Print Network [OSTI]

Mathematical Modeling for CostMathematical Modeling for Cost Optimization of PV RecyclingOptimization of PV Recycling InfrastructureInfrastructure JunJun--Ki ChoiKi Choi & Vasilis Fthenakis& Vasilis Recycling ­Cost Optimization 1. Where is the optimized location? · Centralized/decentralized collection

33

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

E-Print Network [OSTI]

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

Lin, Xiaodong

34

Reactor Modeling and Recipe Optimization of Polyether Polyol Processes  

E-Print Network [OSTI]

Reactor Modeling and Recipe Optimization of Polyether Polyol Processes Spring 2013 EWO Meeting Yisu.M. Wassick. Reactor Modeling and Recipe Optimization of Polyether Polyol Processes: Polypropylene Glycol Project timeline Development of systematic optimization methods of batch processes Nov. 2009 - Dec. 2011

Grossmann, Ignacio E.

35

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...

Jones, B.; Nelson, D.

2007-01-01T23:59:59.000Z

36

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

37

Ergonomic Modelling and Optimization of the Keyboard Arrangement with an Ant Colony Optimization  

E-Print Network [OSTI]

Ergonomic Modelling and Optimization of the Keyboard Arrangement with an Ant Colony Optimization justified the choice of heuristic ergonomic criteria, a mathematical function for the ergonomic eval- uation the arrangement have any alphanumeric logical order nor is it optimized according to a high hit rate or ergonomic

Paris-Sud XI, Université de

38

Optimization models in finance Ma 450 Darinka Dentcheva Fall 2012 darinka.dentcheva@stevens.edu  

E-Print Network [OSTI]

Optimization models in finance Ma 450 Darinka Dentcheva Fall 2012 darinka and dynamic optimization problems occurring in finance. We shall discuss linear and non-linear optimization models of finance, dynamic (se- quential) optimization, optimization under uncertainty, mathematical

Dentcheva, Darinka

39

Model Identification for Optimal Diesel Emissions Control  

SciTech Connect (OSTI)

In this paper we develop a model based con- troller for diesel emission reduction using system identification methods. Specifically, our method minimizes the downstream readings from a production NOx sensor while injecting a minimal amount of urea upstream. Based on the linear quadratic estimator we derive the closed form solution to a cost function that accounts for the case some of the system inputs are not controllable. Our cost function can also be tuned to trade-off between input usage and output optimization. Our approach performs better than a production controller in simulation. Our NOx conversion efficiency was 92.7% while the production controller achieved 92.4%. For NH3 conversion, our efficiency was 98.7% compared to 88.5% for the production controller.

Stevens, Andrew J.; Sun, Yannan; Song, Xiaobo; Parker, Gordon

2013-06-20T23:59:59.000Z

40

RISK SENSITIVE CONTROL AND AN OPTIMAL INVESTMENT MODEL (II)  

E-Print Network [OSTI]

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

Sheu, Shuenn-Jyi

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

Numerica: a Modeling Language for Global Optimization Pascal Van Hentenryck  

E-Print Network [OSTI]

equilibrium problems, and design problems (e.g., nu­ clear reactor design). The field of global optimizationNumerica: a Modeling Language for Global Optimization Pascal Van Hentenryck Brown University Box or to optimize a nonlinear function subject to nonlinear constraints. This includes appli­ cations

Neumaier, Arnold

42

Applying the Battery Ownership Model in Pursuit of Optimal Battery...  

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

Ownership Model in Pursuit of Optimal Battery Use Strategies 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer...

43

Sensitivity of Optimal Operation of an Activated Sludge Process Model  

E-Print Network [OSTI]

Sensitivity of Optimal Operation of an Activated Sludge Process Model Antonio Araujo, Simone sensitivity analysis of optimal operation conducted on an activated sludge process model based on the test.[7] applied a systematic procedure for control structure design of an activated sludge process

Skogestad, Sigurd

44

Utility system integration and optimization models for nuclear power management  

E-Print Network [OSTI]

A nuclear power management model suitable for nuclear utility systems optimization has been developed for use in multi-reactor fuel management planning over periods of up to ten years. The overall utility planning model ...

Deaton, Paul Ferris

1973-01-01T23:59:59.000Z

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

Optimization of Modelica Models with JModelica.org and Optimica  

E-Print Network [OSTI]

-based modeling ­ Text book style equations · Multi-domain modeling ­ Heterogeneous modeling · Object orientedOptimization of Modelica Models with JModelica.org and Optimica #12;Outline · Modelica · Dynamic's next? #12;What is Modelica? · A language for modeling of complex heterogeneous physical systems · Open

47

Optimization Models for Optimal Investment, Drilling, and Water Management in Shale Gas Supply Chains  

Science Journals Connector (OSTI)

Abstract This paper provides an overview of recent optimization models for shale gas production. We first describe a new mixed-integer optimization model for the design of shale gas infrastructures. It is aimed at optimizing the number of wells to drill, size and location of new gas processing plants, section and length of pipelines for gathering raw gas, delivering dry gas and natural gas liquids, power of gas compressors, and planning of freshwater consumption for well drilling and fracturing. We also describe a detailed operational mixed-integer linear model to optimize life cycle water use for well pads. The objective of the model is to determine the fracturing schedule that minimizes costs for freshwater consumption, transportation, treatment, storage, and disposal.

Ignacio E. Grossmann; Diego C. Cafaro; Linlin Yang

2014-01-01T23:59:59.000Z

48

Computation of optimal policies in replacement models  

Science Journals Connector (OSTI)

......the level of metal particles in an engine oil, or a vibration monitoring...Optimal replacement times--a general set-up J. Appl. Prob. 23...Proportional hazards analysis of diesel engine failure data. Quality & Reliab......

V. MAKIS; A. K. S. JARDINE

1991-01-01T23:59:59.000Z

49

Energy and cost optimization in industrial models  

Science Journals Connector (OSTI)

A program for Linear Energy Optimization (LEO...) which was used to investigate thermodynamical and technical options of reducing the energy-consumption of industrialized countries is extended to handle the cost ...

H. -M. Groscurth; R. Kümmel

1990-01-01T23:59:59.000Z

50

Hybrid fuzzy and optimal modeling for water quality evaluation  

E-Print Network [OSTI]

Hybrid fuzzy and optimal modeling for water quality evaluation Dong Wang, 1 Vijay P. Singh, 2 and Yuansheng Zhu 3 Received 1 September 2006; revised 16 December 2006; accepted 19 January 2007; published 8 May 2007. [1] Water quality evaluation... evaluation issues. In addition, the proposed models are flexible and adaptable for diagnosing the eutrophic status. Citation: Wang, D., V. P. Singh, and Y. Zhu (2007), Hybrid fuzzy and optimal modeling for water quality evaluation, Water Resour. Res., 43, W...

Wang, Dong; Singh, Vijay P.; Zhu, Yuansheng

2007-05-08T23:59:59.000Z

51

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 Bayou Cogen plant in Bayport, Texas in 1997 and has been in use continuously since that time. This program optimizes steam production among four cogen units...

Harper, C.; Nelson, D. A.

2008-01-01T23:59:59.000Z

52

A new hybrid model optimized by an intelligent optimization algorithm for wind speed forecasting  

Science Journals Connector (OSTI)

Abstract Forecasting the wind speed is indispensable in wind-related engineering studies and is important in the management of wind farms. As a technique essential for the future of clean energy systems, reducing the forecasting errors related to wind speed has always been an important research subject. In this paper, an optimized hybrid method based on the Autoregressive Integrated Moving Average (ARIMA) and Kalman filter is proposed to forecast the daily mean wind speed in western China. This approach employs Particle Swarm Optimization (PSO) as an intelligent optimization algorithm to optimize the parameters of the ARIMA model, which develops a hybrid model that is best adapted to the data set, increasing the fitting accuracy and avoiding over-fitting. The proposed method is subsequently examined on the wind farms of western China, where the proposed hybrid model is shown to perform effectively and steadily.

Zhongyue Su; Jianzhou Wang; Haiyan Lu; Ge Zhao

2014-01-01T23:59:59.000Z

53

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

54

An Optimization Model for Eco-Driving at Signalized Intersection  

E-Print Network [OSTI]

This research develops an optimization model for eco-driving at signalized intersection. In urban areas, signalized intersections are the “hot spots” of air emissions and have significant negative environmental and health impacts. Eco-driving is a...

Chen, Zhi

2013-07-15T23:59:59.000Z

55

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...

Alexander, J.

56

Computation of optimal policies in replacement models  

Science Journals Connector (OSTI)

......in a given replacement cycle, and let Zk be the value of...properties, and the replacement cycles are repeated indefini- tely...Optimal replacement times--a general set-up J. Appl. Prob. 23...Proportional hazards analysis of diesel engine failure data. Quality......

V. MAKIS; A. K. S. JARDINE

1991-01-01T23:59:59.000Z

57

Performance and Optimization of Network Building Evacuation Models  

E-Print Network [OSTI]

Performance and Optimization of Network Building Evacuation Models Andrea Weiss, Dr. Jim Mac/G/C/C queues, a simulation program was used to model two buildings on the Umass Amherst campus: Machmer Hall expedient paths are taken. Research Objectives · Create a realistic model of buildings with large

Mountziaris, T. J.

58

Modeling and Optimizing Ergonomic Activities in Automobile Product Development  

E-Print Network [OSTI]

Modeling and Optimizing Ergonomic Activities in Automobile Product Development João Ferreira Anna.silva@acm.org Abstract We collect ergonomic rules and normative rules considerations for automobile business and modeled these activities with a special UML language created for automobile business, VDML (Vehicle Development Modeling

da Silva, Alberto Rodrigues

59

Multi-objective optimization of GENIE Earth system models  

Science Journals Connector (OSTI)

...Multi-objective optimization of GENIE Earth system models Andrew R. Price 1 * Richard...execution and management of Earth system models (ESMs) capable of simulation...Multiobjective tuning of Grid-enabled Earth system models using a non-dominated sorting...

2009-01-01T23:59:59.000Z

60

Modeling and Multi-objective Optimization of Refinery Hydrogen Network  

Science Journals Connector (OSTI)

The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single- objective optimization problem for the hydrogen network, but few account for the multi-objective optimization problem. This paper presents a novel approach for modeling and multi-objective optimization for hydrogen network in refineries. An improved multi-objective optimization model is proposed based on the concept of superstructure. The optimization includes minimization of operating cost and minimization of investment cost of equipment. The proposed methodology for the multi-objective optimization of hydrogen network takes into account flow rate constraints, pressure constraints, purity constraints, impurity constraints, payback period, etc. The method considers all the feasible connections and subjects this to mixed-integer nonlinear programming (MINLP). A deterministic optimization method is applied to solve this multi-objective optimization problem. Finally, a real case study is introduced to illustrate the applicability of the approach.

Yunqiang JIAO; Hongye SU; Zuwei LIAO; Weifeng HOU

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.


61

New Models Help Optimize Development of Bakken Shale Resources | Department  

Broader source: Energy.gov (indexed) [DOE]

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

62

New Models Help Optimize Development of Bakken Shale Resources | Department  

Broader source: Energy.gov (indexed) [DOE]

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

63

System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies  

E-Print Network [OSTI]

System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After;System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies, analyzing, and optimizing of complex diesel exhaust after-treatment systems. The methodology presented

de Weck, Olivier L.

64

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

65

"Performance and Optimization of Building Evacuation Models" Andrea Weiss  

E-Print Network [OSTI]

"Performance and Optimization of Building Evacuation Models" Andrea Weiss Faculty Mentor: Dr. James in ensuring safety of individuals inside a building. In order to determine the most efficient paths, models that can be made when representing a building. By breaking the rooms and hallways into smaller sections

Mountziaris, T. J.

66

Multiperiod Multiproduct Advertising Budgeting. Part II: Stochastic Optimization Modeling  

E-Print Network [OSTI]

Multiperiod Multiproduct Advertising Budgeting. Part II: Stochastic Optimization Modeling C for the Multiperiod Multiproduct Advertising Budgeting problem, so that the expected profit of the advertising of standard opti- mization software. The model has been tested for planning a realistic advertising campaign

Beltran-Royo, Cesar

67

Global and Convex Optimization in Modeling Environments ...  

E-Print Network [OSTI]

Aug 12, 2002 ... In this study, a bipolar transistor is modeled by an electrical circuit. .... power, delivered to the radiation resistance Rr, to input electric power.

Administrator

2002-08-16T23:59:59.000Z

68

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

SciTech Connect (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

69

A joint optimal pricing, rebate value, and lot sizing model  

Science Journals Connector (OSTI)

Delayed incentives in the form of mail-in cash rebates are very popular among manufacturers, and more recently, among retailers. One of the main advantages of rebates is that while they increase demand, a small proportion of consumers redeem them. In this paper, we formulate and solve models for jointly determining the optimal price, rebate face value, and the optimal order quantity for a price and rebate sensitive deterministic demand. The models show that under realistic conditions, offering rebates can have significant pricing and inventory policy implications and can lead to a significant increase in profit.

Moutaz Khouja

2006-01-01T23:59:59.000Z

70

Risk-based Multiobjective Optimization Model for Bridge Maintenance Planning  

SciTech Connect (OSTI)

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

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

2010-05-21T23:59:59.000Z

71

Managing Approximate Models in Evolutionary Aerodynamic Design Optimization  

E-Print Network [OSTI]

Managing Approximate Models in Evolutionary Aerodynamic Design Optimization Yaochu Jin yaochu jin­ mization problems that are discontinuous, multi­modal and multi­objective [1, 2]. Aerodynamic structural to high complexity of the aerodynamic analysis and large number of evaluations needed in the evolutionary

Coello, Carlos A. Coello

72

The PDB_REDO server for macromolecular structure model optimization  

Science Journals Connector (OSTI)

The PDB_REDO pipeline aims to improve macromolecular structures by optimizing the crystallographic refinement parameters and performing partial model building. Here, algorithms are presented that allowed a web-server implementation of PDB_REDO, and the first user results are discussed.

Joosten, R.P.

2014-05-30T23:59:59.000Z

73

An Operational Model for Optimal NonDispatchable Demand Response  

E-Print Network [OSTI]

An Operational Model for Optimal NonDispatchable Demand Response for Continuous PowerintensiveFACTS, $ Demand Response Energy Storage HVDC Industrial Customer PEV Renewable Energy Source: U.S.-Canada Power: To balance supply and demand of a power system, one can manipulate both: supply and demand demand response

Grossmann, Ignacio E.

74

Modeling and Computational Strategies for Optimal Development Planning of Offshore  

E-Print Network [OSTI]

1 Modeling and Computational Strategies for Optimal Development Planning of Offshore Oilfields for offshore oil and gas fields as a basis to include the generic fiscal rules with ringfencing provisions-integer programming. 1 Introduction Offshore oil and gas field development planning has received significant attention

Grossmann, Ignacio E.

75

Utility functions and optimal investment in non-dominated models  

E-Print Network [OSTI]

Utility functions and optimal investment in non-dominated models Laurent DENIS Département de@univ-evry.fr Abstract: In this paper, we provide a framework in which we can set the problem of maximization of utility establish a duality theory for robust utility maximization in this framework. AMS 2000 subject

Paris-Sud XI, Université de

76

Dynamic Modeling and Recipe Optimization of Polyether Polyol Processes  

E-Print Network [OSTI]

Dynamic Modeling and Recipe Optimization of Polyether Polyol Processes Fall 2012 EWO Meeting Yisu Monomer Reactor Basic procedures Starters are first mixed with catalyst in the liquid phase Alkylene oxides in the liquid phase are fed in controlled rates The reactor temperature is controlled by the heat

Grossmann, Ignacio E.

77

Operational Model for C3 Feedstock Optimization on a  

E-Print Network [OSTI]

Chemical and refinery grade feedstocks with different prices and propylene purities. Best operationOperational Model for C3 Feedstock Optimization on a Polypropylene Production Facility Pablo A Polypropylene production facility Chemical and refinery grade feedstocks with different prices and propylene

Grossmann, Ignacio E.

78

Optimization of flagellar swimming by a model sperm  

E-Print Network [OSTI]

The swimming of a bead-spring chain in a viscous incompressible fluid as a model of a sperm is studied in the framework of low Reynolds number hydrodynamics. The optimal mode in the class of planar flagellar strokes of small amplitude is determined on the basis of a generalized eigenvalue problem involving two matrices which can be evaluated from the mobility matrix of the set of spheres constituting the chain. For an elastic chain with a cargo constraint for its spherical head, the actuating forces yielding a nearly optimal stroke can be determined. These can be used in a Stokesian dynamics simulation of large amplitude swimming.

B. U. Felderhof

2014-12-12T23:59:59.000Z

79

Wind-Wave Model with an Optimized Source Function  

E-Print Network [OSTI]

On the basis of the author's earlier results, a new source function for a numerical wind-wave model optimized by the criterion of accuracy and speed of calculation is substantiated. The proposed source function includes (a) an optimized version of the discrete interaction approximation for parametrization of the nonlinear evolution mechanism, (b) a generalized empirical form of the input term modified by adding a special block of the dynamic boundary layer of the atmosphere, and (c) a dissipation term quadratic in the wave spectrum. Particular attention is given to a theoretical substantiation of the least investigated dissipation term. The advantages of the proposed source function are discussed by its comparison to the analogues used in the widespread models of the third generation WAM and WAVEWATCH. At the initial stage of assessing the merits of the proposed model, the results of its testing by the system of academic tests are presented. In the course of testing, some principals of this procedure are form...

Polnikov, Vladislav

2010-01-01T23:59:59.000Z

80

Simulation Models to Optimize the Energy Consumption of Buildings  

E-Print Network [OSTI]

Page 1 of paper submitted to ICEBO 2008 Berlin SIMULATION MODELS TO OPTIMIZE THE ENERGY CONSUMPTION OF BUILDINGS Sebastian Burhenne Fraunhofer-Institute for Solar Energy Systems Freiburg, Germany Dirk Jacob Fraunhofer...-Institute for Solar Energy Systems Freiburg, Germany ABSTRACT In practice, building operation systems are only adjusted during commissioning. This is done manually and leads to failure-free but often inefficient operation. This work deals...

Burhenne, S.; Jacob, D.

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

Life Cycle Optimization of Automobile Replacement:? Model and Application  

Science Journals Connector (OSTI)

Life Cycle Optimization of Automobile Replacement:? Model and Application ... Moreover, manufacturers have been exploring new propulsion systems and fuels, such as hybrid electric vehicles and hydrogen fuel cell vehicles. ... The catalytic activity of samples taken from an oxidation catalyst mounted on diesel-driven automobiles and aged under road conditions was recovered to a significant extent by washing with a dilute solution of citric acid. ...

Hyung Chul Kim; Gregory A. Keoleian; Darby E. Grande; James C. Bean

2003-11-01T23:59:59.000Z

82

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water...  

Broader source: Energy.gov (indexed) [DOE]

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

83

Radiation field modeling and optimization of a compact and modular  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

84

COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis  

Science Journals Connector (OSTI)

We present the Convex Optimization Algorithms Library COAL, a flexible C++framework for modelling and solving convex optimization problems in connection with variational problems of image analysis. COAL connects solver implementations with specific models ... Keywords: convex optimization, image processing, sparse large-scale programming, variational modelling

Dirk Breitenreicher; Jan Lellmann; Christoph Schnörr

2013-10-01T23:59:59.000Z

85

An Optimization Approach for Effective Formalized fUML Model Checking  

E-Print Network [OSTI]

An Optimization Approach for Effective Formalized fUML Model Checking Islam Abdelhalim, Steve that makes use of a restricted CSP model (because it follows certain formalization rules) to optimize; the first one provides optimization advice to the modeller, while the second one au- tomatically applies

Doran, Simon J.

86

Optimal investment, consumption and proportional reinsurance under model uncertainty  

Science Journals Connector (OSTI)

Abstract This paper considers the optimal investment, consumption and proportional reinsurance strategies for an insurer under model uncertainty. The surplus process of the insurer before investment and consumption is assumed to be a general jump–diffusion process. The financial market consists of one risk-free asset and one risky asset whose price process is also a general jump–diffusion process. We transform the problem equivalently into a two-person zero-sum forward–backward stochastic differential game driven by two-dimensional Lévy noises. The maximum principles for a general form of this game are established to solve our problem. Some special interesting cases are studied by using Malliavin calculus so as to give explicit expressions of the optimal strategies.

Xingchun Peng; Fenge Chen; Yijun Hu

2014-01-01T23:59:59.000Z

87

Evaluating and developing parameter optimization and uncertainty analysis methods for a computationally intensive distributed hydrological model  

E-Print Network [OSTI]

This study focuses on developing and evaluating efficient and effective parameter calibration and uncertainty methods for hydrologic modeling. Five single objective optimization algorithms and six multi-objective optimization algorithms were tested...

Zhang, Xuesong

2009-05-15T23:59:59.000Z

88

Modeling and optimization with Optimica and JModelica.org—Languages and tools for solving large-scale dynamic optimization problems  

Science Journals Connector (OSTI)

The Modelica language, targeted at modeling of complex physical systems, has gained increased attention during the last decade. Modelica is about to establish itself as a de facto standard in the modeling community with strong support both within academia and industry. While there are several tools, both commercial and free, supporting simulation of Modelica models few efforts have been made in the area of dynamic optimization of Modelica models. In this paper, an extension to the Modelica language, entitled Optimica, is reported. Optimica enables compact and intuitive formulations of optimization problems, static and dynamic, based on Modelica models. The paper also reports a novel Modelica-based open source project, JModelica.org, specifically targeted at dynamic optimization. JModelica.org supports the Optimica extension and offers an open platform based on established technologies, including Python, C, Java and XML. Examples are provided to demonstrate the capabilities of Optimica and JModelica.org.

J. Åkesson; K.-E. Årzén; M. Gäfvert; T. Bergdahl; H. Tummescheit

2010-01-01T23:59:59.000Z

89

Test cell modeling and optimization for FPD-II  

SciTech Connect (OSTI)

The Fusion Power Demonstration, Configuration II (FPD-II), will ba a DT burning tandem mirror facility with thermal barriers, designed as the next step engineering test reactor (ETR) to follow the tandem mirror ignition test machines. Current plans call for FPD-II to be a multi-purpose device. For approximately the first half of its lifetime, it will operate as a high-Q ignition machine designed to reach or exceed engineering break-even and to demonstrate the technological feasibility of tandem mirror fusion. The second half of its operation will focus on the evaluation of candidate reactor blanket designs using a neutral beam driven test cell inserted at the midplane of the 90 m long cell. This machine called FPD-II+T, uses an insert configuration similar to that used in the MFTF-..cap alpha..+T study. The modeling and optimization of FPD-II+T are the topic of the present paper.

Haney, S.W.; Fenstermacher, M.E.

1985-04-10T23:59:59.000Z

90

Optimal consumption in a growth model with the Cobb-Douglas production function  

E-Print Network [OSTI]

Optimal consumption in a growth model with the Cobb-Douglas production function Hiroaki Morimoto Management, The Chinese University of Hong Kong, Shatin, Hong Kong Abstract An optimal consumption problem, and a synthesis of the optimal consumption policy is presented in the feedback form. Key words. Economic growth

91

Optimization of the structural Gabor functions in a homogeneous velocity model  

E-Print Network [OSTI]

Optimization of the structural Gabor functions in a homogeneous velocity model for a zero-o#11;set functions should be optimized, and the Gabor functions should form a frame. We present a simple attempt functions and the space{wavenumber lattice of their central points are optimized analytically

Cerveny, Vlastislav

92

Optimization of Fed-Batch Saccharomyces cereWisiae Fermentation Using Dynamic Flux Balance Models  

E-Print Network [OSTI]

ARTICLES Optimization of Fed-Batch Saccharomyces cereWisiae Fermentation Using Dynamic Flux Balance metabolism with dynamic mass balances on key extracellular species. Model-based dynamic optimization concentration profiles, and the final batch time are treated as decision variables in the dynamic optimization

Mountziaris, T. J.

93

Chemical reactor models of optimal digestion efficiency with constant foraging costs  

E-Print Network [OSTI]

Chemical reactor models of optimal digestion efficiency with constant foraging costs J. David Logan-batch reactor or plug flow reactor. Specifically, we determine the residence time that optimizes the average net , Anthony Joern , & William Wolesensky January 24, 2003 Abstract We develop quantitative optimization

Logan, David

94

Macroscopic Mechanistic Modeling and Optimization of a Self-Initiated High-Temperature Polymerization Reactor  

E-Print Network [OSTI]

and optimization study of a batch polymerization reactor in which self-initiated free-radical poly- merization of n to calculate an optimal batch-reactor temperature profile that yields an end-batch polymer product with desiredMacroscopic Mechanistic Modeling and Optimization of a Self-Initiated High

Rappe, Andrew M.

95

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

E-Print Network [OSTI]

Economic Nonlinear Model Predictive Control for the Optimization of Gas Pipeline Networks EWO University Oct 12, 2011 Ajit Gopalakrishnan (CMU) Economic NMPC for gas pipeline optimization Oct 12, 2011 1 Gopalakrishnan (CMU) Economic NMPC for gas pipeline optimization Oct 12, 2011 4 / 24 #12;Natural Gas Industry

Grossmann, Ignacio E.

96

Optimization of BEM-based Cooling Channels Injection Moulding Using Model Reduction  

E-Print Network [OSTI]

of optimization variables). However, thermal models involved in the numerical modelling in injection mouldingOptimization of BEM-based Cooling Channels Injection Moulding Using Model Reduction N. Pirc1 , F: Today, around 30% of manufactured plastic goods rely on injection moulding. The cooling time can

Mongeau, Marcel

97

Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic Controlled Variable Selection  

E-Print Network [OSTI]

Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic operation conducted on an activated sludge process model based on the test-bed benchmark simulation model no structure that leads to optimal economic operation, while promptly rejecting disturbances at lower layers

Skogestad, Sigurd

98

Heliostat Field Optimization: A New Computationally Efficient Model and Biomimetic Layout  

E-Print Network [OSTI]

Heliostat Field Optimization: A New Computationally Efficient Model and Biomimetic Layout Corey J for heliostat field layout optimization are introduced. The model, described and validated herein, includes & blocking, aberration and atmospheric attenuation. The model is based on a discretization of the heliostats

99

20.18 Optimization Problems in Air Pollution Modeling Ivan Dimov, and Zahari Zlatev  

E-Print Network [OSTI]

20.18 Optimization Problems in Air Pollution Modeling Ivan Dimov, and Zahari Zlatev ABSTRACT. The appearance of optimization problems in the field of air pollution modeling and their importance arising in air pollution modeling will be considered. We shall present a review of some approaches

Dimov, Ivan

100

The d-Level Nested Logit Model: Assortment and Price Optimization Problems  

E-Print Network [OSTI]

The d-Level Nested Logit Model: Assortment and Price Optimization Problems Guang Li Paat, 2013 @ 2:27pm Abstract We provide a new formulation of the d-level nested logit model using a tree the optimal assort- ment. For a d-level nested logit model with n products, the running time of the algorithm

Topaloglu, Huseyin

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

Modeling and Optimization of the Condensing Steam Turbine Network of a Chemical Plant  

Science Journals Connector (OSTI)

The model manager implements the thermodynamic and empirical modeling structure shown in Figure 3. Two models are newly built or rebuilt for each steam turbine on an offline basis. ... If the RMSE is beyond the predefined threshold, the model manager is used to rebuild the models, to remove the process-model mismatch. ... The optimization client serves to show the current and optimal operating values and the performance indicators on the process flow diagrams wherever the intranet is available. ...

In-Su Han; Young-Hak Lee; Chonghun Han

2005-12-13T23:59:59.000Z

102

Optimization of Switched Reluctance Motor for Efficiency Improvement Using Response Surface Model and Kriging Model  

Science Journals Connector (OSTI)

This paper presented an optimization of switched reluctance motor for higher efficiency. The motor in this study was designed based on the magnetic energy conversion loop according to the power requirements of application system. It's found that besides ... Keywords: switched reluctance motor, optimziation, RSM, Kriging Model

Xueguan Song; Youngchul Park; Jian Li; Joonho Lee

2011-04-01T23:59:59.000Z

103

Advances in Mathematical Programming ModelsAdvances in Mathematical Programming Models for Enterprise-wide Optimization  

E-Print Network [OSTI]

(EWO) EWO involves optimizing the operations of R&D, material supply, manufacturing, distribution of Crude Transfer of Crude Refinery Processing Refinery Processing Schedule Products Schedule ProductsModeling Systems OperationalOperational AnalysisAnalysis Materials RequirementMaterials Requirement Planning

Grossmann, Ignacio E.

104

Multi-model Simulation for Optimal Control of Aeroacoustics.  

SciTech Connect (OSTI)

Flow-generated noise, especially rotorcraft noise has been a serious concern for bothcommercial and military applications. A particular important noise source for rotor-craft is Blade-Vortex-Interaction (BVI)noise, a high amplitude, impulsive sound thatoften dominates other rotorcraft noise sources. Usually BVI noise is caused by theunsteady flow changes around various rotor blades due to interactions with vorticespreviously shed by the blades. A promising approach for reducing the BVI noise isto use on-blade controls, such as suction/blowing, micro-flaps/jets, and smart struc-tures. Because the design and implementation of such experiments to evaluate suchsystems are very expensive, efficient computational tools coupled with optimal con-trol systems are required to explore the relevant physics and evaluate the feasibilityof using various micro-fluidic devices before committing to hardware.In this thesis the research is to formulate and implement efficient computationaltools for the development and study of optimal control and design strategies for com-plex flow and acoustic systems with emphasis on rotorcraft applications, especiallyBVI noise control problem. The main purpose of aeroacoustic computations is todetermine the sound intensity and directivity far away from the noise source. How-ever, the computational cost of using a high-fidelity flow-physics model across thefull domain is usually prohibitive and itmight also be less accurate because of thenumerical diffusion and other problems. Taking advantage of the multi-physics andmulti-scale structure of this aeroacoustic problem, we develop a multi-model, multi-domain (near-field/far-field) method based on a discontinuous Galerkin discretiza-tion. In this approach the coupling of multi-domains and multi-models is achievedby weakly enforcing continuity of normal fluxes across a coupling surface. For ourinterested aeroacoustics control problem, the adjoint equations that determine thesensitivity of the cost functional to changes in control are also solved with same ap-proach by weakly enforcing continuity ofnormal fluxes across a coupling surface.Such formulations have been validated extensively for several aeroacoustics state andcontrol problems.A multi-model based optimal control framework has been constructed and ap-plied to our interested BVI noise control problem. This model problem consists ofthe interaction of a compressible vortex with Bell AH-1 rotor blade with wall-normal3 velocity used as control on the rotor blade surface. The computational domain isdecomposed into the near-field and far-field. The near-field is obtained by numericalsolution of the Navier-Stokes equations while far away from the noise source, wherethe effect of nonlinearities is negligible, the linearized Euler equations are used tomodel the acoustic wave propagation. The BVI wave packet is targeted by definingan objective function that measures the square amplitude of pressure fluctuations inan observation region, at a time interval encompassing the dominant leading edgecompressibility waves. Our control results show that a 12dB reduction in the ob-servation region is obtained. Interestingly, the control mechanism focuses on theobservation region and only minimize the sound level in that region at the expense ofother regions. The vortex strength and trajectory get barely changed. However, theoptimal control does alter the interaction of the vortical and potential fields, whichis the source of BVI noise. While this results in a slight increase in drag, there is asignificant reduction in the temporal gradient of lift leading to a reduction in BVIsound levels.4

Collis, Samuel Scott; Chen, Guoquan

2005-05-01T23:59:59.000Z

105

Gas Network Optimization: A comparison of Piecewise Linear Models  

E-Print Network [OSTI]

Oct 4, 2014 ... ... and advanced MILP formulations for the gas network optimization in dynamic or in steady-state conditions. ... Search, Browse the Repository.

CARLOS M. CORREA-POSADA

2014-10-04T23:59:59.000Z

106

Optimal-Sustainable Management of Multi-Species Fisheries: Lessons from a Predator-Prey Model  

E-Print Network [OSTI]

Optimal-Sustainable Management of Multi-Species Fisheries: Lessons from a Predator-Prey Model):355-377. Please consult that version for citations #12;2 Optimal-Sustainable Management of Multi-Species Fisheries: Lessons from a Predator-Prey Model Abstract: In this paper we define fisheries management as sustainable

Woodward, Richard T.

107

Mooring Line Modelling and Design Optimization of Floating Offshore Wind Turbines  

E-Print Network [OSTI]

Mooring Line Modelling and Design Optimization of Floating Offshore Wind Turbines by Matthew Thomas Mooring Line Modelling and Design Optimization of Floating Offshore Wind Turbines by Matthew Thomas Jair was coupled to the floating wind turbine simulator FAST. The results of the comparison study indicate the need

Victoria, University of

108

OPTIMAL INVESTMENT POLICIES FOR THE HORSE RACE MODEL Thomas S. Ferguson and C. Zachary Gilstein  

E-Print Network [OSTI]

OPTIMAL INVESTMENT POLICIES FOR THE HORSE RACE MODEL Thomas S. Ferguson and C. Zachary Gilstein UCLA and Bell Communications May 1985, revised 2004 Abstract. Optimal investment policies for maximizing the expected value of the utility of an investor's fortune are presented for investment models

Ferguson, Thomas S.

109

Parameter optimization for the Gaussian model of protein foldingq Albert Erkipa  

E-Print Network [OSTI]

of protein folding and ligand docking are large and complex. Few systematic methods have yet been developed apply this parameter optimization method to the recently developed Gaussian model of protein folding Science Ltd. All rights reserved. Keywords: Gaussian model; Protein folding; Parameter optimization 1

Seok, Chaok

110

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...

Ha, Chunghun

2005-11-01T23:59:59.000Z

111

Parameter Optimization in an Intermediate Coupled Climate Model with Biased Physics  

Science Journals Connector (OSTI)

Imperfect physical parameterization schemes in a coupled climate model are an important source of model biases that adversely impact climate prediction. However, how observational information should be used to optimize physical parameterizations ...

Xuefeng Zhang; Shaoqing Zhang; Zhengyu Liu; Xinrong Wu; Guijun Han

112

OLAF _ A General Modeling System to Evaluate and Optimize the Location of an Air  

E-Print Network [OSTI]

OLAF _ A General Modeling System to Evaluate and Optimize the Location of an Air Polluting Facility Project Report J"org Fliege 13 2.1The Meteorological Preprocessor ..................13 2.2The Air Dispersion Model

Fliege, Jörg

113

Optimal SCR Control Using Data-Driven Models  

SciTech Connect (OSTI)

We present an optimal control solution for the urea injection for a heavy-duty diesel (HDD) selective catalytic reduction (SCR). The approach taken here is useful beyond SCR and could be applied to any system where a control strategy is desired and input-output data is available. For example, the strategy could also be used for the diesel oxidation catalyst (DOC) system. In this paper, we identify and validate a one-step ahead Kalman state-space estimator for downstream NOx using the bench reactor data of an SCR core sample. The test data was acquired using a 2010 Cummins 6.7L ISB production engine with a 2010 Cummins production aftertreatment system. We used a surrogate HDD federal test procedure (FTP), developed at Michigan Technological University (MTU), which simulates the representative transients of the standard FTP cycle, but has less engine speed/load points. The identified state-space model is then used to develop a tunable cost function that simultaneously minimizes NOx emissions and urea usage. The cost function is quadratic and univariate, thus the minimum can be computed analytically. We show the performance of the closed-loop controller in using a reduced-order discrete SCR simulator developed at MTU. Our experiments with the surrogate HDD-FTP data show that the strategy developed in this paper can be used to identify performance bounds for urea dose controllers.

Stevens, Andrew J.; Sun, Yannan; Lian, Jianming; Devarakonda, Maruthi N.; Parker, Gordon

2013-04-16T23:59:59.000Z

114

Heterogeneous nuclear reactor models for optimal xenon control  

SciTech Connect (OSTI)

In this study a thermal nuclear reactor is modeled as a two-dimensional lattice of fuel and control rods placed in an infinite-moderator in plane geometry. The two-group diffusion theory approximation is used for neutron transport. Space-time neutron balance equations are written for two groups and reduced to one space-time algebraic equation by using the two-dimensional Fourier transform. This equation is written at all fuel and control rod locations. Iodine-xenon and promethium-samarium dynamic equations are also written at fuel rod locations only. These equations are then linearized about an equilibrium point which is determined from the steady-state form of the original nonlinear system equations. After studying poisonless criticality, with and without control, and the stability of the open-loop system and after checking its controllability, a performance criterion is defined for the xenon-induced spatial flux oscillation problem in the form of a functional to be minimized. Linear-quadratic optimal control theory is then applied to solve the problem.

Gondal, I.A.

1984-01-01T23:59:59.000Z

115

International Journal of Innovations in Engineering and Technology (IJIET) Optimal Rural Microgrid Energy Management Using  

E-Print Network [OSTI]

Abstract-The microgrid concept is a natural evolution of distributed resources that may be used to serve energy to customers in areas where conventional power system approaches cannot satisfy the reliability needs. Microgrids[2] may also provide support to conventional power systems that are too constrained to meet the power demands of customers. This paper presents a case study of a remote village dependent on agriculture, with no grid extension. The remote village consists of 400 people and 200 cattle including poultries, bovines, swine etc. The latitude and longitude of the study area are 30 ° 32 ’ N and 76 ° 39 ’ E respectively. The proposed model consists of Photovoltaic (PV) array, wind energy subsystem, micro hydro, biogas fueled generator and battery storage sub-system. The final goal is to maximize energy output from distributed energy resources (DERs) by Optimization using HOMER. Performance of each component of the model will be evaluated and finally sensitivity analysis will be performed to optimize the system at different conditions.

unknown authors

116

Operational Model forOperational Model forOperational Model forOperational Model for C3 Feedstock Optimization on aC3 Feedstock Optimization on app  

E-Print Network [OSTI]

Optimization on aC3 Feedstock Optimization on app Polypropylene Production FacilityPolypropylene Production for Advanced Process Decision-making Enterprise-Wide Optimization (EWO) Meeting ­ March 13-14, 2012 #12;Project ~95% propylene Refinery PolypropylenePropylene (91%) Grade (RG) Reactor effluent Distillation ~79

Grossmann, Ignacio E.

117

Oneida Tribe of Indians of Wisconsin Energy Optimization Model  

SciTech Connect (OSTI)

Oneida Nation is located in Northeast Wisconsin. The reservation is approximately 96 square miles (8 miles x 12 miles), or 65,000 acres. The greater Green Bay area is east and adjacent to the reservation. A county line roughly splits the reservation in half; the west half is in Outagamie County and the east half is in Brown County. Land use is predominantly agriculture on the west 2/3 and suburban on the east 1/3 of the reservation. Nearly 5,000 tribally enrolled members live in the reservation with a total population of about 21,000. Tribal ownership is scattered across the reservation and is about 23,000 acres. Currently, the Oneida Tribe of Indians of Wisconsin (OTIW) community members and facilities receive the vast majority of electrical and natural gas services from two of the largest investor-owned utilities in the state, WE Energies and Wisconsin Public Service. All urban and suburban buildings have access to natural gas. About 15% of the population and five Tribal facilities are in rural locations and therefore use propane as a primary heating fuel. Wood and oil are also used as primary or supplemental heat sources for a small percent of the population. Very few renewable energy systems, used to generate electricity and heat, have been installed on the Oneida Reservation. This project was an effort to develop a reasonable renewable energy portfolio that will help Oneida to provide a leadership role in developing a clean energy economy. The Energy Optimization Model (EOM) is an exploration of energy opportunities available to the Tribe and it is intended to provide a decision framework to allow the Tribe to make the wisest choices in energy investment with an organizational desire to establish a renewable portfolio standard (RPS).

Troge, Michael [Project Manager

2014-12-30T23:59:59.000Z

118

Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2  

E-Print Network [OSTI]

1 Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2 , Joseph by the recast of Energy Performance of Buildings. The aim of this work is to provide a useful method to deal combines the use of TRNSYS, building energy simulation program, with GenOpt, Generic Optimization program

Paris-Sud XI, Université de

119

RANS-based Aerodynamic Shape Optimization Investigations of the Common Research Model Wing  

E-Print Network [OSTI]

RANS-based Aerodynamic Shape Optimization Investigations of the Common Research Model Wing Zhoujie of Michigan, Ann Arbor, MI The aerodynamic shape optimization of transonic wings requires Reynolds, and viscous effects. While there has been some research dedicated to RANS-based aerodynamic shape optimiza

Papalambros, Panos

120

Chemical-equilibrium model of optimal a-Si:H growth from SiH4  

Science Journals Connector (OSTI)

A model of optimal hydrogenated-amorphous-silicon growth based on bulk chemical reactions involving Si-Si and Si-H bonds is proposed. The optimal growth temperature is determined by the balance between the rate of hydrogen diffusion and the rate of film growth.

K. Winer

1990-04-15T23:59:59.000Z

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

A Network Modeling Approach Optimization of Internet-Based Advertising Strategies and Pricing  

E-Print Network [OSTI]

A Network Modeling Approach for the Optimization of Internet-Based Advertising Strategies and evaluation of optimal Internet mar- keting strategies when a firm is advertising on multiple websites examples are constructed that demonstrate two paradoxes: (1). that advertising on more websites may reduce

Nagurney, Anna

122

Power system analysis project Modeling and Sizing optimization of Stand-alone  

E-Print Network [OSTI]

Power system analysis project Modeling and Sizing optimization of Stand-alone photovoltaic/wind-in, cut-out wind speed and rated power, into the optimization based on the real load of the site and write wind turbine is used to adopt its advantage of low noise and relatively low requirement of the quality

Lavaei, Javad

123

Implementation aspects of interactive multiobjective optimization for modeling environments: the case of GAMS-NIMBUS  

Science Journals Connector (OSTI)

Interactive multiobjective optimization methods have provided promising results in the literature but still their implementations are rare. Here we introduce a core structure of interactive methods to enable their convenient implementation. We also demonstrate ... Keywords: Interactive methods, Modeling languages, Multiple objective programming, NIMBUS method, Pareto optimality

Vesa Ojalehto, Kaisa Miettinen, Timo Laukkanen

2014-07-01T23:59:59.000Z

124

Capacity Constraints Across Nests in Assortment Optimization Under the Nested Logit Model  

E-Print Network [OSTI]

Capacity Constraints Across Nests in Assortment Optimization Under the Nested Logit Model Jacob B Abstract We consider assortment optimization problems when customers choose according to the nested logit in all nests. When each product consumes one unit of capacity, our capacity constraint limits

Topaloglu, Huseyin

125

A novel optimization sizing model for hybrid solar-wind power generation system  

Science Journals Connector (OSTI)

This paper develops the Hybrid Solar-Wind System Optimization Sizing (HSWSO) model, to optimize the capacity sizes of different components of hybrid solar-wind power generation systems employing a battery bank. The HSWSO model consists of three parts: the model of the hybrid system, the model of Loss of Power Supply Probability (LPSP) and the model of the Levelised Cost of Energy (LCE). The flow chart of the HSWSO model is also illustrated. With the incorporated HSWSO model, the sizing optimization of hybrid solar-wind power generation systems can be achieved technically and economically according to the system reliability requirements. A case study is reported to show the importance of the HSWSO model for sizing the capacities of wind turbines, PV panel and battery banks of a hybrid solar-wind renewable energy system.

Hongxing Yang; Lin Lu; Wei Zhou

2007-01-01T23:59:59.000Z

126

Optimal power grid protection through a defender–attacker–defender model  

Science Journals Connector (OSTI)

Abstract Power grid vulnerability is a major concern of our society, and its protection problem is often formulated as a tri-level defender–attacker–defender model. However, this tri-level problem is computationally challenging. In this paper, we design and implement a Column-and-Constraint Generation algorithm to derive its optimal solutions. Numerical results on an IEEE system show that: (i) the developed algorithm identifies optimal solutions in a reasonable time, which significantly outperforms the existing exact algorithm; (ii) the attack solution obtained through solving the attacker–defender model does not lead to the optimal protection plan in general; and (iii) protection using the optimal solution from the defender–attacker–defender model always improves the grid survivability under contingencies. The proposed model and algorithm can be easily modified to accommodate for other critical infrastructure network protection problems.

Wei Yuan; Long Zhao; Bo Zeng

2014-01-01T23:59:59.000Z

127

Geometric modeling and optimization in 3D solar cells : implementation and algorithms  

E-Print Network [OSTI]

Conversion of solar energy in three-dimensional (3D) devices has been essentially untapped. In this thesis, I design and implement a C++ program that models and optimizes a 3D solar cell ensemble embedded in a given ...

Wan, Jin Hao, M. Eng. Massachusetts Institute of Technology

2014-01-01T23:59:59.000Z

128

Tax policy can change the production path: A model of optimal oil extraction in Alaska  

Science Journals Connector (OSTI)

We model the economically optimal dynamic oil production decisions for seven production units (fields) on Alaska's North Slope. We use adjustment cost and discount rate to calibrate the model against historical production data, and use the calibrated model to simulate the impact of tax policy on production rate. We construct field-specific cost functions from average cost data and an estimated inverse production function, which incorporates engineering aspects of oil production into our economic modeling. Producers appear to have approximated dynamic optimality. Consistent with prior research, we find that changing the tax rate alone does not change the economically optimal oil production path, except for marginal fields that may cease production. Contrary to prior research, we find that the structure of tax policy can be designed to affect the economically optimal production path, but at a cost in net social benefit.

Wayne Leighty; C.-Y. Cynthia Lin

2012-01-01T23:59:59.000Z

129

Applying methods of numerical modeling to optimize a plasma burner of atmospheric pressure  

Science Journals Connector (OSTI)

The shape of a plasma burner is optimized by the methods of numerical modeling. Vortex-free flow is created in the burner merely at the expense of selecting the external tube profile rather than by introductio...

S. M. Perminov; V. N. Perminova…

1993-09-01T23:59:59.000Z

130

New methodologies for top-down statistical modeling and optimization of integrated circuits  

E-Print Network [OSTI]

New methodologies intended to facilitate system level design and optimization are developed. Specifically, these methodologies allow: (1) development of system level models for the purpose of gathering statistical data on the performance of large...

Alexander, Daniel D.

2012-06-07T23:59:59.000Z

131

Boolean Modeling of Serotonin mediated Ca2+ Signaling pathway  

E-Print Network [OSTI]

for Boolean Modeling · 5-HTR* = Serotonin · PLC* = 5-HTR or DAG · cAMP* = 5-HTR · PKA* = cAMP · DAG* = PIP2 and (PLC or PLC) · PLC* = DAG · IP3 * = PIP2 and (PLC or PLC) · cGMP* = NO · cGMPK* = cGMP · PKC* = (PLC or PLC) and/or (Ca2+ or Ca2+ER) · TRPC3* = [(IP3R and PLC and CaM) and not HOMER] and Stathmin · HOMER

Albert, Réka

132

Architecture-driven reliability optimization with uncertain model parameters  

Science Journals Connector (OSTI)

It is currently considered good software engineering practice to decide between design alternatives based on quantitative architecture evaluations for different quality attributes, such as reliability and performance. However, the results of these quantitative ... Keywords: Architecture optimization, Monte-Carlo simulation, Parameter uncertainty, Probabilistic quality prediction, Reliability

Indika Meedeniya; Aldeida Aleti; Lars Grunske

2012-10-01T23:59:59.000Z

133

Latitude Based Model for Tilt Angle Optimization for Solar Collectors in the Mediterranean Region  

Science Journals Connector (OSTI)

Abstract This paper inspects the different parameters that intervene in the determination of the optimal tilt angle for maximum solar energy collection. It proposes a method for calculating the optimal tilt angle based upon the values of the daily global solar radiation on a horizontal surface. A computer program using the mathematical model to calculate the solar radiation incident on an inclined surface as a function of the tilt angle is implemented. Four years data of daily global solar radiation on a horizontal surface in 35 sites in different countries of the Mediterranean region is used. The program assumes a due south orientation of the collectors and it determines the optimal tilt angle for maximum solar radiation collection for sites in the Mediterranean region. A regression analysis using the results of the computer simulation is conducted to develop a latitude based tilt angle optimization mathematical model for maximum solar radiation collection for the sites. We tested both a linear and a quadratic model (of the form ax2+bx) for representing the relationship between the annual optimal tilt angle and the site's latitude. The quadratic model is better; it provides very high prediction accuracy. 99.87% of the variation in the annual optimal tilt angle is explained by the variability in site's latitude with an average residual angle of only 0.96° for all 35 sites studied. It also gives an average percentage decrease in the annual solar radiation of only 0.016% when compared with actual optimal tilt angles.

Hassane Darhmaoui; Driss Lahjouji

2013-01-01T23:59:59.000Z

134

Optimizing Large Scale Chemical Transport Models for Multicore Platforms John C. Linford and Adrian Sandu  

E-Print Network [OSTI]

Optimizing Large Scale Chemical Transport Models for Multicore Platforms John C. Linford and Adrian: Chemical Transport Model, Domain Decom- position, Time Splitting, Multicore, Scalability, IBM Cell Broadband Engine, Intel Quad-Core Xeon. Abstract The performance of a typical chemical transport model

Sandu, Adrian

135

International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 06-08, 2012 Bordeaux -France  

E-Print Network [OSTI]

9th International Conference of Modeling, Optimization and Simulation - MOSIM'12 June 06-08, 2012 Physical Systems (CPS), has arisen. In terms of modeling and simulation, CPS--like many technical systems-oriented Modeling and Simulation, Causality, Cyber-Physical System (CPS), algorithmic loop, instantaneous multiple

Boyer, Edmond

136

Optimal Location of Compressed Natural Gas (CNG) Refueling Station Using the Arc Demand Coverage Model  

Science Journals Connector (OSTI)

In this paper a model that locates Compressed Natural Gas (CNG) refueling stations to cover the full volume of vehicle flows is developed and applied. The model inputs consist of a road network include nodes and arcs, the volume of vehicle flows between ... Keywords: Compressed Natural Gas, Arc Demand Coverage Model, Optimal Location, Network

Abtin Boostani; Reza Ghodsi; Ali Kamali Miab

2010-05-01T23:59:59.000Z

137

Optimizing a physical security configuration using a highly detailed simulation model  

E-Print Network [OSTI]

Optimizing a physical security configuration using a highly detailed simulation model Marechal, T. Email: tommarechal@hotmail.com Abstract This chapter focuses on using a highly detailed simulation model. In this chapter describes the use of a highly detailed simulation model to find a superior security configuration

Smith, Alice E.

138

Shared memory optimizations for distributed memory programming models  

Science Journals Connector (OSTI)

In the world of parallel programming, there are two major classes of programming models: shared memory and distributed memory. Shared memory models share all memory by default, and are most effective on multi-processor systems. Distributed memory models ...

Andrew Friedley / Andrew Lumsdaine

2013-01-01T23:59:59.000Z

139

Optimization of the GB/SA Solvation Model for Predicting the Structure of Surface Loops in Proteins  

E-Print Network [OSTI]

Optimization of the GB/SA Solvation Model for Predicting the Structure of Surface Loops in ProteinsVed: October 10, 2005; In Final Form: December 1, 2005 Implicit solvation models are commonly optimized the force field is sometimes not considered. In previous studies, we have developed an optimization

Meirovitch, Hagai

140

Optimization of global model composed of radial basis functions using the term-ranking approach  

SciTech Connect (OSTI)

A term-ranking method is put forward to optimize the global model composed of radial basis functions to improve the predictability of the model. The effectiveness of the proposed method is examined by numerical simulation and experimental data. Numerical simulations indicate that this method can significantly lengthen the prediction time and decrease the Bayesian information criterion of the model. The application to real voice signal shows that the optimized global model can capture more predictable component in chaos-like voice data and simultaneously reduce the predictable component (periodic pitch) in the residual signal.

Cai, Peng; Tao, Chao, E-mail: taochao@nju.edu.cn; Liu, Xiao-Jun [Key Laboratory of Modern Acoustics, Nanjing University, Nanjing 210093 (China)] [Key Laboratory of Modern Acoustics, Nanjing University, Nanjing 210093 (China)

2014-03-15T23:59:59.000Z

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

Mixed integer model for optimizing equipment scheduling and overburden transport in a surface coal mining operation  

SciTech Connect (OSTI)

The lack of available techniques prompted the development of a mixed integer model to optimize the scheduling of equipment and the distribution of overburden in a typical mountaintop removal operation. Using this format, a (0-1) integer model and transportation model were constructed to determine the optimal equipment schedule and optimal overburden distribution, respectively. To solve this mixed integer program, the model was partitioned into its binary and real-valued components. Each problem was successively solved and their values added to form estimates of the value of the mixed integer program. Optimal convergence was indicated when the difference between two successive estimates satisfied some pre-specific accuracy value. The performance of the mixed integer model was tested against actual field data to determine its practical applications. To provide the necessary input information, production data was obtained from a single seam, mountaintop removal operation located in the Appalachian coal field. As a means of analyzing the resultant equipment schedule, the total idle time was calculated for each machine type and each lift location. Also, the final overburden assignments were analyzed by determining the distribution of spoil material for various overburden removal productivities. Subsequent validation of the mixed integer model was conducted in two distinct areas. The first dealt with changes in algorithmic data and their effects on the optimality of the model. The second area concerned variations in problem structure, specifically those dealing with changes in problem size and other user-inputed values such as equipment productivities or required reclamation.

Goodman, G.V.R.

1987-01-01T23:59:59.000Z

142

Empirical Performance Model-Driven Data Layout Optimization and Library Call Selection for Tensor Contraction Expressions  

SciTech Connect (OSTI)

Empirical optimizers like ATLAS have been very effective in optimizing computational kernels in libraries. The best choice of parameters such as tile size and degree of loop unrolling is determined by executing different versions of the computation. In contrast, optimizing compilers use a model-driven approach to program transformation. While the model-driven approach of optimizing compilers is generally orders of magnitude faster than ATLAS-like library generators, its effectiveness can be limited by the accuracy of the performance models used. In this paper, we describe an approach where a class of computations is modeled in terms of constituent operations that are empirically measured, thereby allowing modeling of the overall execution time. The performance model with empirically determined cost components is used to perform data layout optimization together with the selection of library calls and layout transformations in the context of the Tensor Contraction Engine, a compiler for a high-level domain-specific language for expressing computational models in quantum chemistry. The effectiveness of the approach is demonstrated through experimental measurements on representative computations from quantum chemistry.

Lu, Qingda; Gao, Xiaoyang; Krishnamoorthy, Sriram; Baumgartner, Gerald; Ramanujam, J.; Sadayappan, Ponnuswamy

2012-03-01T23:59:59.000Z

143

Optimization Model for Energy Planning with CO2 Emission Considerations  

Science Journals Connector (OSTI)

This paper considers the problem of reducing CO2 emissions from a power grid consisting of a variety of power-generating plants:? coal, natural gas, nuclear, hydroelectric, and alternative energy. ... Approximately 28.5% of OPG electricity is produced through the combustion of fossil fuels, 27% through hydroelectricity, and 44% through nuclear energy, and the remaining 0.5% comes from renewable or other energy sources, such as wind turbines. ... A sensitivity analysis was also performed to evaluate the impact of natural gas prices, coal prices, and retrofit costs on the optimal configuration of the OPG fleet of electricity-generating stations. ...

Haslenda Hashim; Peter Douglas; Ali Elkamel; Eric Croiset

2005-01-12T23:59:59.000Z

144

Optimization Online - A Non-Parametric Structural Hybrid Modeling ...  

E-Print Network [OSTI]

Jun 30, 2014 ... Keywords: Electricity market; Electricity price modeling; Energy trading; Supply stack. Category 1: Applications -- OR and Management ...

Somayeh Moazeni

2014-06-30T23:59:59.000Z

145

A system-level cost-of-energy wind farm layout optimization with landowner modeling  

SciTech Connect (OSTI)

This work applies an enhanced levelized wind farm cost model, including landowner remittance fees, to determine optimal turbine placements under three landowner participation scenarios and two land-plot shapes. Instead of assuming a continuous piece of land is available for the wind farm construction, as in most layout optimizations, the problem formulation represents landowner participation scenarios as a binary string variable, along with the number of turbines. The cost parameters and model are a combination of models from the National Renewable Energy Laboratory (NREL), Lawrence Berkeley National Laboratory, and Windustiy. The system-level cost-of-energy (COE) optimization model is also tested under two land-plot shapes: equally-sized square land plots and unequal rectangle land plots. The optimal COEs results are compared to actual COE data and found to be realistic. The results show that landowner remittances account for approximately 10% of farm operating costs across all cases. Irregular land-plot shapes are easily handled by the model. We find that larger land plots do not necessarily receive higher remittance fees. The model can help site developers identify the most crucial land plots for project success and the optimal positions of turbines, with realistic estimates of costs and profitability. (C) 2013 Elsevier Ltd. All rights reserved.

Chen, Le [Ames Laboratory; MacDonald, Erin [Ames Laboratory

2013-10-01T23:59:59.000Z

146

An Optimization Model for Plug-In Hybrid Electric Vehicles  

SciTech Connect (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] [ORNL; Smith, David E [ORNL] [ORNL

2011-01-01T23:59:59.000Z

147

Green Petroleum Refining -Mathematical Models for Optimizing Petroleum Refining Under Emission Constraints  

E-Print Network [OSTI]

Green Petroleum Refining - Mathematical Models for Optimizing Petroleum Refining Under Emission understand that my thesis may be made electronically available to the public. #12;iii Abstract Petroleum and treating options for petroleum refinery waste streams. The performance of the developed model

Anderson, Charles H.

148

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

Science Journals Connector (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

149

The Need for a Full-Chip and Package Thermal Model for Thermally Optimized IC Designs  

E-Print Network [OSTI]

ceramic ball-grid array (CBGA) pack- age consisting of the chip (die), thermal interface material, heatThe Need for a Full-Chip and Package Thermal Model for Thermally Optimized IC Designs Wei Huang detailed die temperature with a full-chip thermal model at early design stages is important to discover

Skadron, Kevin

150

Identification of Bouc-Wen type models using multi-objective optimization algorithms  

Science Journals Connector (OSTI)

Most of the published literature concerned with the parameter estimation of the Bouc-Wen model of hysteresis via evolutionary algorithms uses a single objective function (the mean square error between the known displacements and the estimated ones) and ... Keywords: Bouc-Wen-Baber-Noori model, Hysteresis, Multi-objective optimization, NSGA-II, System identification

Gilberto A. Ortiz; Diego A. Alvarez; Daniel Bedoya-RuíZ

2013-01-01T23:59:59.000Z

151

Modeling and Computational Strategies for Optimal Development Planning of Offshore Oilfields under Complex Fiscal Rules  

Science Journals Connector (OSTI)

Modeling and Computational Strategies for Optimal Development Planning of Offshore Oilfields under Complex Fiscal Rules ... In particular, we consider a recently proposed multifield site strategic planning model for offshore oil and gas fields as a basis to include the generic fiscal rules with ringfencing provisions. ...

Vijay Gupta; Ignacio E. Grossmann

2012-09-29T23:59:59.000Z

152

Longitudinal Data Analysis Using Multilevel Linear Modeling (MLM): Fitting an Optimal Variance-Covariance Structure  

E-Print Network [OSTI]

LONGITUDINAL DATA ANALYSIS USING MULTILEVEL LINEAR MODELING (MLM): FITTING AN OPTIMAL VARIANCE-COVARIANCE STRUCTURE A Dissertation by YUAN-HSUAN LEE Submitted to the Office of Graduate Studies of Texas A&M University... in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY August 2010 Major Subject: Educational Psychology Longitudinal Data Analysis Using Multilevel Linear Modeling (MLM...

Lee, Yuan-Hsuan

2011-10-21T23:59:59.000Z

153

Modeling of switched reluctance motors based on optimized BP neural networks with parallel chaotic search  

Science Journals Connector (OSTI)

Precise modeling of switched reluctant motor (SRM) is important of switched reluctant motor driving system. In the article, modeling of SRM by a BP neural network with parallel chaotic search (PCS) is presented firstly. Here parallel chaotic search is ... Keywords: BP neural network, optimize, parallel chaotic search, switched reluctant motor

Yong Cheng; Hui Lin

2010-03-01T23:59:59.000Z

154

An optimizing reduced order FDS for the tropical Pacific Ocean reduced gravity model  

E-Print Network [OSTI]

An optimizing reduced order FDS for the tropical Pacific Ocean reduced gravity model Zhendong Luoa) for the tropical Pacific Ocean reduced gravity model. Ensembles of data are compiled from transient solutions computed from the discrete equation system derived by FDS for the tropical Pacific Ocean reduced gravity

Aluffi, Paolo

155

Models for Optimization of Energy Consumption of Pumps in a Wastewater Processing Plant  

E-Print Network [OSTI]

Models for Optimization of Energy Consumption of Pumps in a Wastewater Processing Plant Zijun Zhang in the wastewater preliminary treatment process is discussed. Data- mining algorithms are utilized to develop pump performance models based on industrial data collected at a municipal wastewater processing plant

Kusiak, Andrew

156

Modeling, Optimization, and Experimentation with a Two Stage Mixed Gas Cascaded Joule Thomson Cryoprobe  

E-Print Network [OSTI]

Modeling, Optimization, and Experimentation with a Two Stage Mixed Gas Cascaded Joule Thomson-stage Mixed Gas Joule Thomson (MGJT) cycle is capable of providing compact cooling for cryoprobes". A computational model of a commercially available two stage MGJT cryoprobe donated by American Medical Systems

Wisconsin at Madison, University of

157

Short-term production optimization of offshore oil and gas production using nonlinear model predictive control  

Science Journals Connector (OSTI)

The topic of this paper is the application of nonlinear model predictive control (NMPC) for optimizing control of an offshore oil and gas production facility. Of particular interest is the use of NMPC for direct short-term production optimization, where two methods for (one-layer) production optimization in NMPC are investigated. The first method is the unreachable setpoints method where an unreachable setpoint is used in order to maximize oil production. The ideas from this method are combined with the exact penalty function for soft constraints in a second method, named infeasible soft-constraints. Both methods can be implemented within standard NMPC software tools. The case-study first looks into the use of NMPC for ‘conventional’ pressure control, where disturbance rejection of time-varying disturbances (caused, e.g., by the ‘slugging’ phenomenon) is an issue. Then the above two methods for production optimization are employed, where both methods find the economically optimal operating point. Two different types of reservoir models are studied, using rate-independent and rate-dependent gas/oil ratios. These models lead to different types of optimums. The relative merits of the two methods for production optimization, and advantages of the two one-layer approaches compared to a two-layer structure, are discussed.

Anders Willersrud; Lars Imsland; Svein Olav Hauger; Pål Kittilsen

2013-01-01T23:59:59.000Z

158

Optimization Online - Robustified Reserve Modelling for Wind Power ...  

E-Print Network [OSTI]

Jul 8, 2014 ... Robustified Reserve Modelling for Wind Power Integration in Ramp-Based Unit Commitment. German Morales-España(gmorales ***at*** ...

German Morales-España

2014-07-08T23:59:59.000Z

159

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.

160

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.

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

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.

162

A nonlinear binary programming model for electric distribution systems reliability optimization  

Science Journals Connector (OSTI)

This paper presents a new nonlinear binary programming model aiming to minimize the SAIDI and SAIFI reliability indices of a distribution feeder. Graph theory and a contingency simulation-based technique are used in the explicit formulation of the objective functions to accurately model the protection system response to faults and system reconfiguration practices. To ensure the solution’s feasibility both technical and economic constraints are considered. An alternative economic constraint is proposed, taking into account the current locations of the protective devices and sectionalizing switches, which directly affect the utility costs for reliability improvement. To solve the proposed model, an optimization technique based on the branch-and-bound algorithm is used in this paper. Hence, this technique enables deterministic optimization of distribution feeder reliability by identifying types and locations of protection devices and sectionalizing switches, so that SAIDI and SAIFI reliability indices are minimized. Test cases are presented to illustrate the reliability optimization of a test feeder considering the use of different protection schemes and cost constraints. A value-based reliability optimization formulation is derived from the proposed model and its application to the test feeder is also illustrated. Additionally, the solutions obtained from the proposed model are compared with the solutions obtained from two other state-of-the-art models found in the literature. A comparative study is also carried out to evaluate the efficiency of the genetic algorithm in solving the proposed models.

G.D. Ferreira; A.S. Bretas

2012-01-01T23:59:59.000Z

163

HEURISTIC APPROACH FOR OPTIMAL PARAMETER ESTIMATION OF ELECTRIC LOAD FORECAST MODEL  

Science Journals Connector (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

164

Optimizing the Ptolemaic Model of Planetary and Solar Motion  

E-Print Network [OSTI]

Ptolemy-s planetary model is an ancient geocentric astronomical model, describing the observed motion of the Sun and the planets. Ptolemy accounted for the deviations of planetary orbits from perfect circles by introducing two small and equal shifts into his model. We show that Ptolemy-s choice of shifts allowed him to approximate the true eccentricity of planetary orbits only in the first order, linear in eccentricity. We show that, if the shifts were tuned in the ratio 5/3, the model precision could be improved substantially, perhaps delaying its rejection. The best achievable precision is quadratic in eccentricities. Although, to achieve it fully, one would have to introduce Ptolemaic shifts in the epicycles as well as in deferents the planets.

Rushkin, Ilia

2015-01-01T23:59:59.000Z

165

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

166

An optimisation model for optimal and sustainable distribution  

Science Journals Connector (OSTI)

In many companies, a large share of costs in value chains is due to the distribution logistics. The problem is known as the vehicle routing problem (VRP) and many different algorithms are used for approximate solutions. The main point of the problem is to carry out deliveries from the central storage facility to all customers incurring minimal costs. This paper aims to present development and implementation of such a model and its application for a special distribution and customer network. Although the conceptual idea of the model is primarily based on the economical cost optimisation and consequentially on as much profit as possible, the model can simply be upgraded with ecological or environmentally friendly aspects. So the aim of the model is an optimisation tool upgraded by sustainable development of logistics and distribution.

Rok Strašek

2013-01-01T23:59:59.000Z

167

Hybrid Model for Building Performance Diagnosis and Optimal Control  

E-Print Network [OSTI]

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...

Wang, S.; Xu, X.

2003-01-01T23:59:59.000Z

168

Accounting for the effects of rehabilitation actions on the reliability of flexible pavements: performance modeling and optimization  

E-Print Network [OSTI]

A performance model and a reliability-based optimization model for flexible pavements that accounts for the effects of rehabilitation actions are developed. The developed performance model can be effectively implemented in all the applications...

Deshpande, Vighnesh Prakash

2009-05-15T23:59:59.000Z

169

Multiscale Sagebrush Rangeland Habitat Modeling in the Gunnison Basin of Colorado  

E-Print Network [OSTI]

Multiscale Sagebrush Rangeland Habitat Modeling in the Gunnison Basin of Colorado Open-File Report" in Gunnison Basin, Colorado, 2007 (photograph by Lorie Brummer, U.S. Geological Survey). #12;Multiscale Sagebrush Rangeland Habitat Modeling in the Gunnison Basin of Colorado By Collin G. Homer, Cameron L

Aldridge, Cameron

170

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

171

A continuous model for open pit mine planning? - Optimization Online  

E-Print Network [OSTI]

Sep 15, 2009 ... The model introduced here is posed in a suitable functional space, ... are described by a possibly discontinuous effort density, a scalar function defined on the three- ... Our goal here is to develop a complete existence theory and investigate some qualitative proper- ...... gence, Book Series, Springer Verlag.

2009-09-15T23:59:59.000Z

172

Modeling and optimization of a chiller plant Xiupeng Wei*  

E-Print Network [OSTI]

based on a simulation program [9]. Optimum set point of condensing water temperature for chillers to model a chiller plant that has four chillers, four cooling towers, and two chilled water storage tanks of chillers, cooling towers, pumps and chilled water storage tanks. It is frequently used to air conditioning

Kusiak, Andrew

173

Efficient Dynamic Modeling, Numerical Optimal Control and Experimental Results for Various Gaits  

E-Print Network [OSTI]

. A fully three- dimensional dynamical model of Sony's four-legged robot is used to state an optimal control robots is still a challenge. For a given gait pattern, landing time and point of each leg are prescribed, i.e. they depend on parameters. The trajectory of each joint between lift-off and landing

Stryk, Oskar von

174

Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System  

E-Print Network [OSTI]

or hard disk. The power management hardware/software monitors the state transition in the systemStochastic Modeling and Optimization for Robust Power Management in a Partially Observable System As the hardware and software complexity grows, it is unlikely for the power management hardware/software to have

Qiu, Qinru

175

Performance Optimization by Wire and Buffer Sizing Under the Transmission Line Model \\Lambda  

E-Print Network [OSTI]

Performance Optimization by Wire and Buffer Sizing Under the Transmission Line Model \\Lambda Tai to the time­of­flight delay of a line, it is necessary to consider the transmission line behavior for de­ lay on this formula, we show the property that the minimum delay for a transmission line with reflection occurs when

Chen, Tai-Chen

176

Towards optimal allocation of computer resources: Trade-offs between uncertainty quantification, discretization and model reduction  

Science Journals Connector (OSTI)

The computational complexity of numerical models can be broken down into contributions ranging from spatial, temporal and stochastic resolution, e.g., spatial grid resolution, time step size and number of repeated simulations dedicated to quantify uncertainty. ... Keywords: Computational costs, Optimal design, Stochastic hydrology, Uncertainty quantification

Philipp C. Leube; Felipe P. J. De Barros; Wolfgang Nowak; Ram Rajagopal

2013-12-01T23:59:59.000Z

177

Modeling and Optimizing Hypertextual Search Engines Based on the Reasearch of Larry Page and Sergey Brin  

E-Print Network [OSTI]

Engines April 15, 2009 7 / 57 #12;Introduction - Section II - Outline Terms and Definitions Brief Search' or displayed back to the user in hypertextual format. mek (UVM) Search Engines April 15, 2009 9 / 57 #12;TermsModeling and Optimizing Hypertextual Search Engines Based on the Reasearch of Larry Page and Sergey

Wu, Xindong

178

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

179

Optimized regional and interannual variability of lightning in a global chemical transport model constrained  

E-Print Network [OSTI]

to remove their diurnal sampling bias, we construct a monthly time series of lightning flash rates for 1998, D20307, doi:10.1029/2012JD017934. 1. Introduction [2] The extreme heat in a lightning flash channelOptimized regional and interannual variability of lightning in a global chemical transport model

Jacob, Daniel J.

180

Stochastic Modeling of a Power-Managed System: Construction and Optimization  

E-Print Network [OSTI]

1 Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu of a power-managed electronic system. We formulate the problem of system-level power management-digital components. Dynamic power management ­ which refers to a selective shut-off or slow-down of system components

Pedram, Massoud

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

Lumped thermal model for switched reluctance motor applied to mechanical design optimization  

Science Journals Connector (OSTI)

Switched reluctance motors (SRM) are attracting much attention because of their special advantages. Generated heat, due to losses, can reduce the life time of SRMs. Therefore, taking into account thermal modeling helps to improve their performance and ... Keywords: Conduction, Convection, Motor losses, Optimal design, Switched reluctance motor, Thermal equivalent circuit

Hossein Rouhani; Jawad Faiz; Caro Lucas

2007-03-01T23:59:59.000Z

182

Optimal Production Planning Models for Parallel Batch Reactors with Sequence-dependent Changeovers  

E-Print Network [OSTI]

1 Optimal Production Planning Models for Parallel Batch Reactors with Sequence planning of parallel multi-product batch reactors with sequence-dependent changeovers, a challenging of number of products, reactors or length of the time horizon, we propose a decomposition technique based

Grossmann, Ignacio E.

183

PASI 2011: Process Modeling and Optimization for Energy and Sustainability Mineral Process Design for  

E-Print Network [OSTI]

PASI 2011 PASI 2011: Process Modeling and Optimization for Energy and Sustainability Mineral, high population growth and urbanization, both key metals consumption and GDP are expected to grow the environmental impact, both in per tonne of product and on total amount of emissions and reduction. #12

Grossmann, Ignacio E.

184

Modeling and Optimization of Membrane Reactors for Carbon Capture in Integrated Gasification Combined Cycle Units  

Science Journals Connector (OSTI)

Modeling and Optimization of Membrane Reactors for Carbon Capture in Integrated Gasification Combined Cycle Units ... This paper investigates the alternative of precombustion capture of carbon dioxide from integrated gasification combined cycle (IGCC) plants using membrane reactors equipped with H2-selective zeolite membranes for the water gas shift reaction. ...

Fernando V. Lima; Prodromos Daoutidis; Michael Tsapatsis; John J. Marano

2012-03-08T23:59:59.000Z

185

Modeling and Optimization of the Turbo-Compression Chiller Systems in the LCD Process  

Science Journals Connector (OSTI)

Modeling and Optimization of the Turbo-Compression Chiller Systems in the LCD Process ... The refrigerator can be divided into two parts, as shown in Figure 2: the mechanical part, consisting of a compressor, an expander or a valve, and two heat exchangers (e.g., an evaporator and a condenser); and the chemical-material part of the refrigerant cycle. ...

Changhyun Jeong; Kiwook Song; Jiyeon Nam; Chonghun Han

2012-01-16T23:59:59.000Z

186

An Efficient Multiperiod MINLP Model for Optimal Planning of Offshore Oil and Gas Field Infrastructure  

Science Journals Connector (OSTI)

An Efficient Multiperiod MINLP Model for Optimal Planning of Offshore Oil and Gas Field Infrastructure ... Offshore oil and gas field development represents a very complex problem and involves multibillion dollar investments and profits (Babusiaux et al.(1)). ... This paper focuses on a nonconvex MINLP model for the strategic/tactical planning of the offshore oil and gas fields, which includes sufficient details to make it useful for realistic oilfield development projects, as well as for extensions to include fiscal and uncertainty considerations. ...

Vijay Gupta; Ignacio E. Grossmann

2012-04-07T23:59:59.000Z

187

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

SciTech Connect (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

188

A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models  

Science Journals Connector (OSTI)

In this paper, we propose a new multi-objective evolutionary algorithm-based ensemble optimizer coupled with neural network models for undertaking feature selection and classification problems. Specifically, the Modified micro Genetic Algorithm (MmGA) ... Keywords: Ensemble models, Evolutionary algorithm, Feature selection, Multi-objective optimization, Neural network classifiers

Choo Jun Tan; Chee Peng Lim; Yu-N Cheah

2014-02-01T23:59:59.000Z

189

IFDM modelling for optimal siting of air quality monitoring stations around five oil refineries  

Science Journals Connector (OSTI)

An IFDM modelling study has been conducted to determine the optimal siting of air quality monitoring stations around five oil refineries. The purpose of this immission monitoring network is specified in environmental legislation. The most appropriate output parameter of the IFDM model for this study is the 98th percentile of the moving 24 h averages, P98,m24h. Modelling for the optimal siting of air quality monitoring stations turned out to be different from modelling for permit granting. Of interest is not the peak value of a relevant immission parameter, but the places where this parameter is most likely to have a higher peak value compared with neighbouring places. For this study, modelling has been done for eleven years of hourly meteorological data. The eleven yearly immission fields obtained by modelling are synthesized using the minimum, median and maximum values of the P98,m24h values obtained for each receptor point. This synthesis of the modelling results was complemented with an analysis of the available immission data for the region, so that the resulting air quality monitoring network is expected to monitor the impact of all emissions, not only those emissions that are in the emission inventory used for modelling.

G. Cosemans; G. Dumont; E. Roekens; J.G. Kretzschmar

1997-01-01T23:59:59.000Z

190

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

SciTech Connect (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

191

Study on optimization model of energy collection efficiency and its power generation benefit evaluation of landfill gas  

Science Journals Connector (OSTI)

An optimization model for joint biogas energy collection efficiency that targets the prediction model for landfill gas output dynamics and the optimization model for gas well output has been established. The model was used to comprehensively analyze and evaluate the collection efficiency of a landfill gas well together with the long-term monitoring the gas output of the gas well within Chenjiachong Landfill. The collection efficiency increased by more than 50% than the original collection of landfill biogas and the power generation efficiency increased more than two times after the reservoir area of the landfill was optimized and regulated.

Xue Qiang

2013-01-01T23:59:59.000Z

192

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

SciTech Connect (OSTI)

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

193

Lumped thermal model for switched reluctance motor applied to mechanical design optimization  

Science Journals Connector (OSTI)

Switched reluctance motors (SRM) are attracting much attention because of their special advantages. Generated heat, due to losses, can reduce the life time of SRMs. Therefore, taking into account thermal modeling helps to improve their performance and increase their life time. In this paper, a lumped thermal model of SRM based on the analogue circuit of conductive and convective thermal resistances is proposed. First the heat transfer equations were applied for modeling of each motor part as a thermal equivalent circuit. Then, the thermal modeling of whole SRM was done via assembling all these sub-circuits. For validity of the obtained model on a wide range of geometrical and structural properties of motor, apt heat transfer relations have been used. This comprehensive model is used to investigate the influence of dimensions on heat transfer in SRM. Finally, an optimal design of the stator yoke dimensions has been reached concerning the mechanical aspects without degrading electromagnetic characteristics of SRM.

Hossein Rouhani; Jawad Faiz; Caro Lucas

2007-01-01T23:59:59.000Z

194

Grey-box modeling of an ocean vessel for operational optimization  

Science Journals Connector (OSTI)

Operational optimization of ocean vessels, both off-line and in real-time, is becoming increasingly important due to rising fuel cost and added environmental constraints. Accurate and efficient simulation models are needed to achieve maximum energy efficiency. In this paper a grey-box modeling approach for the simulation of ocean vessels is presented. The modeling approach combines conventional analysis models based on physical principles (a white-box model) with a feed forward neural-network (a black-box model). Two different ways of combining these models are presented, in series and in parallel. The results of simulating several trips of a medium sized container vessel show that the grey-box modeling approach, both serial and parallel approaches, can improve the prediction of the vessel fuel consumption significantly compared to a white-box model. However, a prediction of the vessel speed is only improved slightly. Furthermore, the results give an indication of the potential advantages of grey-box models, which is extrapolation beyond a given training data set and the incorporation of physical phenomena which are not modeled in the white-box models. Finally, included is a discussion on how to enhance the predictability of the grey-box models as well as updating the neural-network in real-time.

Leifur Þ. Leifsson; Hildur Sævarsdóttir; Sven Þ. Sigurðsson; Ari Vésteinsson

2008-01-01T23:59:59.000Z

195

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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:

196

Mathematical modelling approach for determining optimal machining parameters in turning with computer numerical control (CNC) machines  

Science Journals Connector (OSTI)

Due to advancement in the manufacturing technology the application of computer numerical control (CNC) machines have increased manifolds. The determination of machining parameters for optimal results in machining is a part of computer aided process planning. In computer numerical control (CNC) machining, determining optimum or appropriate cutting parameters can minimise machining errors such as tool breakage, tool deflection and tool wear, thus yielding a high productivity or minimum cost. Different mathematical models have been proposed by various researchers in the past for the determination of optimal machining parameters. The present paper attempt's to review the literature regarding 'machining parameter optimisation' for turning operation in CNC machines. Diverse contributing and important factors in mathematical modelling like, the economic criteria's, single and multi-pass turning, optimisation techniques and practical constraints deployed have been considered. A detailed discussion is presented regarding the topic and in the end conclusions are drawn.

Bhaskar Naithani; Santram Chauhan

2012-01-01T23:59:59.000Z

197

Impacts of Optimized Cold & Hot Deck Reset Schedules on Dual Duct VAV Systems - Theory and Model Simulation  

E-Print Network [OSTI]

Impacts of Optimized Cold & Hot Deck Reset Schedules on Dual Duct VAV Systems - Theory and Model Simulation Mingsheng Liu, Ph.D., P.E. Energy Systems Laboratory Texas A&M University College Station, Texas Abstract Optimal hot and cold deck... rate increased from 30% to 70% of the maximum flow. Introduction Simultaneous heating and cooling can be reduced sigmficantly by optimizing cold and hot deck reset schedules in dual duct constant volume systems [Liu et. a1 1994, 1995, 19961...

Liu, M.; Claridge, D. E.

1998-01-01T23:59:59.000Z

198

Data Warehouse Model to Support Optimized Operation and Energy Savings in Buildings  

E-Print Network [OSTI]

University College Cork (Ireland) Department of Civil and Environmental Engineering Data Warehouse Model to support Optimized Operation and Energy Savings in Buildings Paul Stack, Brian Cahill, Farhan Manzoor, Prof. Karsten Menzel 20... October 2011 page 1ICEBO 2011 Session 10 - Brian Cahill University College Cork (Ireland) Department of Civil and Environmental Engineering ICT for Optimised Building Operation (ITOBO) 20 October 2011 ICEBO 2011 Session 10 - Brian Cahill page 2...

Stack, P.; Cahill, B.; Manzoor, F.; Menzel, K.

2011-01-01T23:59:59.000Z

199

Optimization of a Chilled Water Plant Using a Forward Plant Model  

E-Print Network [OSTI]

Optimization of a chilled water plant without storage using a forward plant model Zhiqin Zhanga, PhD William D. Turnera, PhD, PE Qiang Chena, PE Chen Xub, PE Song Denga, PE... at a given setpoint. This setpoint is manually adjusted to be between 25 psid (172 kPa) and 48 psid (331 kPa) all year round to ensure there are no hot complaints from terminals. The cooling tower staging control in place is to stage the number...

Zhang, Z.; Turner, W. D.; Chen, Q.; Xu, C.; Deng, S.

2010-01-01T23:59:59.000Z

200

Optimizing Higher-Order Lagrangian Perturbation Theory for Standard CDM and BSI models  

E-Print Network [OSTI]

We investigate the performance of Lagrangian perturbation theory up to the second order for two scenarios of cosmological large-scale structure formation, SCDM (standard cold dark matter) and BSI (broken scale invariance). The latter model we study as a representative of COBE-normalized CDM models which fit the small-scale power of galaxy surveys. In this context we optimize the performance of the Lagrangian perturbation schemes by smoothing the small-scale fluctuations in the initial data. The results of the so obtained Lagrangian mappings are computed for a set of COBE-normalized SCDM and BSI initial data of different sizes and at different times. We compare these results against those obtained with a numerical PM-code. We find an excellent performance of the optimized Lagrangian schemes down to scales close to the correlation length. This is explained by the counterintuitive fact that nonlinearities in the model can produce more small-scale power, if initially such power is removed. The optimization scheme can be expressed in a way which is independent of the type of fluctuation spectrum and of the size of the simulations.

Arno G. Weiss; Stefan Gottloeber; Thomas Buchert

1995-05-24T23:59:59.000Z

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.


201

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

SciTech Connect (OSTI)

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

202

On the determination of single-crystal plasticity parameters by diffraction: optimization of a polycrystalline plasticity model using a genetic algorithm  

Science Journals Connector (OSTI)

A genetic algorithm was used to successfully optimize the work hardening coefficients of a polycrystalline plasticity model.

Skippon, T.

2012-07-14T23:59:59.000Z

203

Intensity-Modulated Radiotherapy Optimization in a Quasi-Periodically Deforming Patient Model  

SciTech Connect (OSTI)

Purpose: To present the implementation of a probability-based, four-dimensional (4D) intensity-modulated radiotherapy (IMRT) planning approach that explicitly optimizes the accumulated dose to moving tissue, estimated using the patient's probability density function (pdf) of respiratory motion. This is termed 'optimization in tissue's-eye-view'. Methods and Materials: The method incorporates 4D Monte Carlo dose calculation in multiple geometries of a respiratory-correlated CT dataset. The instance doses are weighted according to the breathing pdf and accumulated in a common reference geometry, which involves dose warping based on deformable registration. The algorithm produces deliverable multileaf collimator segments and was tested on a sample lung cancer patient dataset with large target excursion. Accumulated doses of the moving target and organs at risk of this plan were compared with those of corresponding margin-based static IMRT plans for free-breathing and gated treatment, as well as target tracking. Results: Target tracking provided best target coverage. Both the presented 4D IMRT approach for free-breathing treatment and gated treatment gave similar results for target coverage and lung dose, with significantly better target coverage than the margin-based static IMRT plan for free-breathing treatment. Conclusions: The presented 4D planning concept offers an alternative to gating by providing the optimal dose for free-breathing IMRT treatment. Although the focus of this study was 4D lung planning, the approach can be generally applied for IMRT optimization in randomly deforming patient models.

Soehn, Matthias, E-mail: Matthias.Soehn@med.uni-tuebingen.d [Section for Biomedical Physics, University Hospital for Radiation Oncology, Tuebingen (Germany); Weinmann, Martin [Department of Radiotherapy, University Hospital for Radiation Oncology, Tuebingen (Germany); Alber, Markus [Section for Biomedical Physics, University Hospital for Radiation Oncology, Tuebingen (Germany)

2009-11-01T23:59:59.000Z

204

Fast Protein Folding in the Hydrophobic-hydrophilic Model Within Three-eights of Optimal (Extended Abstract)  

E-Print Network [OSTI]

Fast Protein Folding in the Hydrophobic-hydrophilic Model Within Three-eights of Optimal (Extended for the protein folding problem in the hydrophobic- hydrophilic model, Dill (1985). To our knowledge, our al for this model, Dill (1994). The hydrophobic-hydrophilic model abstracts the dominant force of protein folding

Istrail, Sorin

205

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

SciTech Connect (OSTI)

This report summarizes the achievements and final results of this program. The objective of this program is to develop a general model-based sensor network design methodology and tools to address key issues in the design of an optimal sensor network configuration: the type, location and number of sensors used in a network, for online condition monitoring. In particular, the focus in this work is to develop software tools for optimal sensor placement (OSP) and use these tools to design optimal sensor network configuration for online condition monitoring of gasifier refractory wear and radiant syngas cooler (RSC) fouling. The methodology developed will be applicable to sensing system design for online condition monitoring for broad range of applications. The overall approach consists of (i) defining condition monitoring requirement in terms of OSP and mapping these requirements in mathematical terms for OSP algorithm, (ii) analyzing trade-off of alternate OSP algorithms, down selecting the most relevant ones and developing them for IGCC applications (iii) enhancing the gasifier and RSC models as required by OSP algorithms, (iv) applying the developed OSP algorithm to design the optimal sensor network required for the condition monitoring of an IGCC gasifier refractory and RSC fouling. Two key requirements for OSP for condition monitoring are desired precision for the monitoring variables (e.g. refractory wear) and reliability of the proposed sensor network in the presence of expected sensor failures. The OSP problem is naturally posed within a Kalman filtering approach as an integer programming problem where the key requirements of precision and reliability are imposed as constraints. The optimization is performed over the overall network cost. Based on extensive literature survey two formulations were identified as being relevant to OSP for condition monitoring; one based on LMI formulation and the other being standard INLP formulation. Various algorithms to solve these two formulations were developed and validated. For a given OSP problem the computation efficiency largely depends on the “size” of the problem. Initially a simplified 1-D gasifier model assuming axial and azimuthal symmetry was used to test out various OSP algorithms. Finally these algorithms were used to design the optimal sensor network for condition monitoring of IGCC gasifier refractory wear and RSC fouling. The sensors type and locations obtained as solution to the OSP problem were validated using model based sensing approach. The OSP algorithm has been developed in a modular form and has been packaged as a software tool for OSP design where a designer can explore various OSP design algorithm is a user friendly way. The OSP software tool is implemented in Matlab/Simulink© in-house. The tool also uses few optimization routines that are freely available on World Wide Web. In addition a modular Extended Kalman Filter (EKF) block has also been developed in Matlab/Simulink© which can be utilized for model based sensing of important process variables that are not directly measured through combining the online sensors with model based estimation once the hardware sensor and their locations has been finalized. The OSP algorithm details and the results of applying these algorithms to obtain optimal sensor location for condition monitoring of gasifier refractory wear and RSC fouling profile are summarized in this final report.

Kumar, Rajeeva; Kumar, Aditya; Dai, Dan; Seenumani, Gayathri; Down, John; Lopez, Rodrigo

2012-12-31T23:59:59.000Z

206

MINLP model for optimal biocide dosing and maintenance scheduling of seawater cooled plants  

Science Journals Connector (OSTI)

Abstract Nowadays many countries in arid regions around the world suffer from severe water shortages; this situation is steadily becoming a global concern as water resources are being depleted. In this regard, strategies that a few decades ago were not feasible are becoming interesting alternatives; one of them is the use of seawater as cooling fluid in chemical plants. This alternative, however, presents problems in the plant operation, including a rapid biofilm growth (biofouling) that reduces the heat transfer efficiency. To control the biofouling, the use of biocides (usually chlorine) and periodical mechanical maintenances are implemented. In this work a mathematical programming model is presented for the optimal planning of biocide dosing and mechanical maintenance scheduling. The model considers the biocide kinetics along the network, its dependence with temperature and its interaction with the biofilm thickness. The model uses disjunctive programming to select the optimal maintenance scenario, allowing for different levels of biofilm thickness that depend on the plant schedule. The model also includes environmental constraints to prevent the discharge of streams with potentially dangerous loads of chemicals. These constraints include a limit for the concentration of biocide and the end of pipe chemical treatment. The objective function is to minimize the total annual cost, including the cost for the biocide, chemicals used for end of pipe treatment and maintenance. To show the model applicability, a case study for an integrated power/desalination plant cooled with seawater is solved. Several scenarios were tested including daily, biweekly, monthly and bimonthly biocide and end of pipe treatment chemical dosing, and mechanical maintenances from one to up to six times per year. The results indicate that recurrent dosing policies, either biweekly or monthly for operational simplicity, along with a maximum of three treatments per year provide an optimal scenario.

Fabricio Nápoles-Rivera; Abdullah Bin Mahfouz; Arturo Jiménez-Gutiérrez; Mahmoud M. El-Halwagi; José María Ponce-Ortega

2012-01-01T23:59:59.000Z

207

4 - Modeling the Relationship Between Global Warming, Violence, and Crime  

Science Journals Connector (OSTI)

Abstract One of the challenges of global warming research to the social sciences is that physical science research modalities are different. Consequently, efforts to tie it to the social sciences, particularly those related to violence and crime, are difficult to develop. This chapter looks at two models to assess the linkages between global warming and crime. The first, the Homer-Dixon model, uses a resource scarcity model to look at these linkages. According to the Homer-Dixon model, many aspects of global warming produce scarcities such as food shortages, ranch and farmland loss, and clean-water shortages. By tracing the indirect effects of scarcities through intervening variables of migration and state hardening, the model allows us to see various kinds of crime and violence that might happen under global warming conditions. The second model is the Agnew model, developed to assess theoretical linkages between crime and global warming, primarily focusing on social disorganization and strain perspectives. The second model fills a critical shortcoming in the first model; it provides a nuanced notion of crime and crime theory. Hence, it provides a needed “back end” of crime outcomes to tie into the Homer-Dixon model. Also, we discuss the way in which many dimensions of global warming can be modeled relatively straightforwardly into a routine activities perspective, where the social and economic disruptions caused by global warming give rise to new patterns of human activity and, consequently, new patterns of criminal and predatory activities.

John P. Crank; Linda S. Jacoby

2015-01-01T23:59:59.000Z

208

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

E-Print Network [OSTI]

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...

Lively, Charles

2012-07-16T23:59:59.000Z

209

Optimal Evolutionary Wind Turbine Placement in Wind Farms Considering New Models of Shape, Orography and Wind Speed Simulation  

Science Journals Connector (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, s...

B. Saavedra-Moreno; S. Salcedo-Sanz…

2011-01-01T23:59:59.000Z

210

Transmission Line Structure Spotting and Optimization within a Defined Transmission Line Routing Centerline Using Non-Linear Programming Models  

E-Print Network [OSTI]

and optimize structure heights for overhead transmission lines. The modeling tool will address common problems in determining overhead transmission line structure heights and locations. Some of the common problems consist of structure locations often having...

Cockrum, Joshua W.

2010-05-14T23:59:59.000Z

211

An agent based modeling approach for determining optimal price-rebate schemes  

Science Journals Connector (OSTI)

Delayed incentives in the form of cash mail-in rebates have become very popular. While some research has been conducted on consumer perception and behavior toward rebates, little research has been undertaken with respect to a seller’s optimal rebate strategy. We use an agent-based modeling approach for jointly determining optimal price and rebate value. This approach has been previously applied to pricing and can capture some aspects of the problem which are difficult to analyze using traditional mathematical modeling. The model indicates that rebates are much more profitable when their values are jointly determined with price. In addition, the profitability of rebates at a given time depends on past consumers’ experience with rebates and that consumers’ memory of their past rebate redemption behavior plays an important role in determining the profitability of rebates. Also, the analysis shows that agent-based modeling may provide an alternative method for analyzing problems in which interactions between participants in the systems, i.e. consumers, sellers, and regulating agencies, are important in determining the overall behavior of the system.

Moutaz Khouja; Mirsad Hadzikadic; Muhammad Adeel Zaffar

2008-01-01T23:59:59.000Z

212

Global Optimization of Chemical Reactors and Kinetic Optimization  

E-Print Network [OSTI]

Model; 3-D; Monolith; Reactor; Optimization Introduction TheAngeles Global Optimization of Chemical Reactors and KineticGlobal Optimization of Chemical Reactors and Kinetic

ALHUSSEINI, ZAYNA ISHAQ

2013-01-01T23:59:59.000Z

213

Development of an entrained flow gasifier model for process optimization study  

SciTech Connect (OSTI)

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

214

Dynamic modeling and optimal control strategy of waste heat recovery Organic Rankine Cycles  

Science Journals Connector (OSTI)

Organic Rankine Cycles (ORCs) are particularly suitable for recovering energy from low-grade heat sources. This paper describes the behavior of a small-scale ORC used to recover energy from a variable flow rate and temperature waste heat source. A traditional static model is unable to predict transient behavior in a cycle with a varying thermal source, whereas this capability is essential for simulating an appropriate cycle control strategy during part-load operation and start and stop procedures. A dynamic model of the ORC is therefore proposed focusing specifically on the time-varying performance of the heat exchangers, the dynamics of the other components being of minor importance. Three different control strategies are proposed and compared. The simulation results show that a model predictive control strategy based on the steady-state optimization of the cycle under various conditions is the one showing the best results.

Sylvain Quoilin; Richard Aumann; Andreas Grill; Andreas Schuster; Vincent Lemort; Hartmut Spliethoff

2011-01-01T23:59:59.000Z

215

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

SciTech Connect (OSTI)

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

216

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

SciTech Connect (OSTI)

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

2010-01-01T23:59:59.000Z

217

Optimization and modeling studies for obtaining high injection efficiency at the Advanced Photon Source.  

SciTech Connect (OSTI)

In recent years, the optics of the Advanced Photon Source storage ring has evolved to a lower equilibrium emittance (2.5 nm-rad) at the cost of stronger sextupoles and stronger nonlinearities, which have reduced the injection efficiency from the virtual 100% of the high emittance mode. Over the years we have developed a series of optimizations, measurements, and modeling studies of the injection process, which allows us to obtain or maintain low injection losses. The above will be described along with the injection configuration.

Emery, L.; APS Operations Division

2005-01-01T23:59:59.000Z

218

A computer model for optimizing the location of natural gas fueling stations  

Science Journals Connector (OSTI)

Abstract High levels of fine particulate matter and ozone in many major cities are causing increased respiratory problems, increased asthma attacks and premature death. Natural gas vehicles have been reported to emit up to 95% less particulate matter than diesel powered vehicles and up to 90% less ozone-producing carbon monoxide and reactive hydrocarbons. The adoption of natural gas vehicles, therefore, could play a large role in improving air quality in many cities. Because of the many costs associated with the introduction of a new fueling infrastructure, optimum distribution of fueling stations will play a major role in widespread use of natural gas vehicles, especially in the early stages of market penetration. A model was developed that can be used to optimize fueling station placement-based on traffic volume using a Monte Carlo algorithm. In particular, the Monte Carlo method allows for the placement of the fueling stations based upon their proximity to high volume traffic flow and the placement of all the fueling stations are optimized simultaneously. Traffic volume data from Pittsburgh, PA was used in the model simulations.

T.L. Kerzmann; G.A. Buxton; J. Preisser

2014-01-01T23:59:59.000Z

219

Inverse modeling of large-scale spatially distributed vadose zone properties using global optimization  

E-Print Network [OSTI]

optimization Jasper A. Vrugt Institute for Biodiversity and Ecosystem Dynamics, Faculty of Science, University

Vrugt, Jasper A.

220

Mothproofing of wool fabric utilizing ZnO nanoparticles optimized by statistical models  

Science Journals Connector (OSTI)

Abstract Wool with high strength, elasticity, and resiliency has good dye-ability and comfort however could be digested by keratinolytic enzymes. In this research, wool fabric pre-treated with BTCA and then treated with nano ZnO. The treated fabrics showed mothproofing activity against the larvae of carpet beetle, Anthrenus verbasci, as feeding protein fibers. The role of both BTCA and nano ZnO concentrations on mothproofing properties of the wool fabric were optimized using statistical model of response surface methodology (RSM). Mothproofing was investigated through assessing wool weight loss during feeding by A. verbasci. The analysis of variance (ANOVA) was utilized to obtain the optimum models for wool with mothproofing properties. The damages on the wool surface confirmed with scanning electron microscopy and digital camera images. Further transmission and absorbance spectra approved the UV protection properties of the nano ZnO treated wool in both UVA and UVB.

Ali Nazari; Majid Montazer; Mehdi Dehghani-Zahedani

2014-01-01T23:59:59.000Z

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.


221

Modeling and design optimization of switched reluctance machine by boundary element analysis and simulation  

SciTech Connect (OSTI)

Nonlinear boundary element analysis provides a more accurate and detailing tool for the design of switched reluctance machines, than the conventional equivalent-circuit methods. Design optimization through more detailed analysis and simulation can reduce development and prototyping costs and time to market. Firstly, magnetic field modeling of an industrial switched reluctance machine by boundary element method is reported in this paper. Secondly, performance prediction and dynamic simulation of motor and control design are presented. Thirdly, magnetic forces that cause noise and vibration are studied, to include the effects of motor and control design variations on noise in the design process. Testing of the motor in NEMA 215-Frame size is carried out to verify the accuracy of modeling and simulation.

Tang, Y.; Kline, J.A. Sr. [Emerson Motor Technology Center, St. Louis, MO (United States). U.S. Electrical Motors Div.] [Emerson Motor Technology Center, St. Louis, MO (United States). U.S. Electrical Motors Div.

1996-12-01T23:59:59.000Z

222

Model-based optimization of economical grade changes for the Borealis Borstar® polyethylene plant  

Science Journals Connector (OSTI)

Economical grade changes are considered for a Borealis Borstar® polyethylene plant model, incorporating two slurry-phase reactors, one gas-phase reactor and a recycle area with three distillation columns. The model is constructed in the Modelica language and the JModelica.org platform is used for optimization. The cost function expresses the economical profit during a grade change and is formulated using on-grade intervals for seven polymer quality variables such as melt index, density and reactor split factors. Additionally, incentives to produce polymer with quality variables on grade target values, not only inside grade intervals, are added. Twelve inflows and three purge flows are used as decision variables. Two grade changes are thoroughly reviewed, showing the effect of using a cost function that regards plant economy. Resulting trajectories can be divided into three phases with distinguishing features, and the synchronization of inflows and usage of recycle area off-gas flows are important in the grade changes.

Per-Ola Larsson; Johan Åkesson; Niclas Carlsson; Niklas Andersson

2012-01-01T23:59:59.000Z

223

Optimized multicomponent vs. classical geothermometry: Insights from modeling studies at the Dixie Valley geothermal area  

Science Journals Connector (OSTI)

Abstract A new geothermometry approach is explored, incorporating multicomponent geothermometry coupled with numerical optimization to provide more confident estimates of geothermal reservoir temperatures when results of classical geothermometers are inconsistent. This approach is applied to geothermal well and spring waters from the Dixie Valley geothermal area (Nevada), to evaluate the influence of salt brines mixing and dilution of geothermal fluids on calculated temperatures. The main advantage of the optimized multicomponent method over classical geothermometers is its ability to quantify the extent of dilution and gas loss experienced by a geothermal fluid, and to optimize other poorly constrained or unknown parameters (such as Al and Mg concentrations), allowing the reconstruction of the deep reservoir fluid composition and therefore gaining confidence in reservoir temperatures estimations. Because the chemical evolution of deep geothermal fluids is a combination of multiple time-dependent processes that take place when these fluids ascend to the surface, reactive transport modeling is used to assess constraints on the application of solute geothermometers. Simulation results reveal that Al and Mg concentrations of ascending fluids are sensitive to mineral precipitation–dissolution affecting reservoir temperatures inferred with multicomponent geothermometry. In contrast, simulations show that the concentrations of major elements such as Na, K, and SiO2 are less sensitive to re-equilibration. Geothermometers based on these elements give reasonable reservoir temperatures in many cases, except when dilution or mixing with saline waters has taken place. Optimized multicomponent geothermometry yields more representative temperatures for such cases. Taking into account differences in estimated temperatures, and chemical compositions of the Dixie Valley thermal waters, a conceptual model of two main geothermal reservoirs is proposed. The first reservoir is located along the Stillwater range normal fault system and has an estimated temperature of 240–260 °C. It covers the area corresponding to the geothermal field but could extend towards the south-west where deep temperatures of 200–225 °C are estimated. The second reservoir has an estimated temperature of 175–190 °C and extends from well 62-21 to northeastern Hyder, Lower Ranch, Fault Line, and Jersey springs.

L. Peiffer; C. Wanner; N. Spycher; E.L. Sonnenthal; B.M. Kennedy; J. Iovenitti

2014-01-01T23:59:59.000Z

224

Performance Modeling and Optimization of a High Energy CollidingBeam Simulation Code  

SciTech Connect (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 computing platforms. Various all-to-all personalized communication (AAPC) algorithms dominate its communication patterns, for which we developed a sequence of performance models using a series of micro-benchmarks. We find that for SMP based systems the most important performance constraint is node-adapter contention, while for 3D-Torus topologies good performance models are not possible without considering link contention. The best average model prediction error is very low on SMP based systems with of 3% to 7%. On torus based systems errors of 29% are higher but optimized performance can again be predicted within 8% in some cases. These excellent results across five different systems indicate that this methodology for performance modeling can be applied to a large class of algorithms.

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

2006-06-01T23:59:59.000Z

225

A detailed MILP optimization model for combined cooling, heat and power system operation planning  

Science Journals Connector (OSTI)

Abstract A detailed optimization model is presented for planning the short-term operation of combined cooling, heat and power (CCHP) energy systems. The purpose is, given the design of a cogeneration system, to determine an operating schedule that minimizes the total operating and maintenance costs minus the revenue due to the electricity sold to the grid, while taking into account time-varying loads, tariffs and ambient conditions. The model considers the simultaneous use of different prime movers (generating electricity and heat), boilers, compression heat pumps and chillers, and absorption chillers to satisfy given electricity, heat and cooling demands. Heat and cooling load can be stored in storage tanks. Units can have one or two operative variables, highly nonlinear performance curves describing their off-design behavior, and limitations or penalizations affecting their start-up/shut-down operations. To exploit the effectiveness of state-of-the-art Mixed Integer Linear Program (MILP) solvers, the resulting Mixed Integer Nonlinear Programming (MINLP) model is converted into a MILP by appropriate piecewise linear approximation of the nonlinear performance curves. The model, written in the AMPL modeling language, has been tested on several plant test cases. The computational results are discussed in terms of the quality of the solutions, the linearization accuracy and the computational time.

Aldo Bischi; Leonardo Taccari; Emanuele Martelli; Edoardo Amaldi; Giampaolo Manzolini; Paolo Silva; Stefano Campanari; Ennio Macchi

2014-01-01T23:59:59.000Z

226

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

E-Print Network [OSTI]

datasets. 1. Introduction Sea ice is important to the climate system because it insulates the cold polarOptimization of a Sea Ice Model Using Basinwide Observations of Arctic Sea Ice Thickness, Extent 2004, in final form 27 June 2005) ABSTRACT A stand-alone sea ice model is tuned and validated using

Feltham, Daniel

227

Multi-objective optimization for bus body with strength and rollover safety constraints based on surrogate models  

Science Journals Connector (OSTI)

It is important to consider the performances of lightweight, stiffness, strength and rollover safety when designing a bus body. In this paper, the finite element (FE) analysis models including strength, stiffness and rollover crashworthiness of a bus ... Keywords: Bus body, Finite element analysis, Multi-objective optimization, Surrogate model

Ruiyi Su; Liangjin Gui; Zijie Fan

2011-09-01T23:59:59.000Z

228

Systems Modeling and Analysis Industrial Engineers are interested in optimizing the design and operation of complex systems  

E-Print Network [OSTI]

and operation of complex systems composed of people and machines using information, materials and energySystems Modeling and Analysis Industrial Engineers are interested in optimizing the design to produce goods and services. Analyzing such systems with information-driven models is an essential step

Dyer, Bill

229

Optimization of numerical weather/wave prediction models based on information geometry and computational techniques  

Science Journals Connector (OSTI)

The last years a new highly demanding framework has been set for environmental sciences and applied mathematics as a result of the needs posed by issues that are of interest not only of the scientific community but of today's society in general: global warming renewable resources of energy natural hazards can be listed among them. Two are the main directions that the research community follows today in order to address the above problems: The utilization of environmental observations obtained from in situ or remote sensing sources and the meteorological-oceanographic simulations based on physical-mathematical models. In particular trying to reach credible local forecasts the two previous data sources are combined by algorithms that are essentially based on optimization processes. The conventional approaches in this framework usually neglect the topological-geometrical properties of the space of the data under study by adopting least square methods based on classical Euclidean geometry tools. In the present work new optimization techniques are discussed making use of methodologies from a rapidly advancing branch of applied Mathematics the Information Geometry. The latter prove that the distributions of data sets are elements of non-Euclidean structures in which the underlying geometry may differ significantly from the classical one. Geometrical entities like Riemannian metrics distances curvature and affine connections are utilized in order to define the optimum distributions fitting to the environmental data at specific areas and to form differential systems that describes the optimization procedures. The methodology proposed is clarified by an application for wind speed forecasts in the Kefaloniaisland Greece.

2014-01-01T23:59:59.000Z

230

The use of least squares methods in functional optimization of energy use prediction models  

Science Journals Connector (OSTI)

The least squares method (LSM) is used to optimize the coefficients of a closed-form correlation that predicts the annual energy use of buildings based on key envelope design and thermal parameters. Specifically annual energy use is related to a number parameters like the overall heat transfer coefficients of the wall roof and glazing glazing percentage and building surface area. The building used as a case study is a previously energy-audited mosque in a suburb of Kuwait City Kuwait. Energy audit results are used to fine-tune the base case mosque model in the VisualDOE{trade mark serif} software. Subsequently 1625 different cases of mosques with varying parameters were developed and simulated in order to provide the training data sets for the LSM optimizer. Coefficients of the proposed correlation are then optimized using multivariate least squares analysis. The objective is to minimize the difference between the correlation-predicted results and the VisualDOE-simulation results. It was found that the resulting correlation is able to come up with coefficients for the proposed correlation that reduce the difference between the simulated and predicted results to about 0.81%. In terms of the effects of the various parameters the newly-defined weighted surface area parameter was found to have the greatest effect on the normalized annual energy use. Insulating the roofs and walls also had a major effect on the building energy use. The proposed correlation and methodology can be used during preliminary design stages to inexpensively assess the impacts of various design variables on the expected energy use. On the other hand the method can also be used by municipality officials and planners as a tool for recommending energy conservation measures and fine-tuning energy codes.

2012-01-01T23:59:59.000Z

231

Optimal Boussinesq model for shallow-water waves interacting with a microstructure  

Science Journals Connector (OSTI)

In this paper, we consider the propagation of water waves in a long-wave asymptotic regime, when the bottom topography is periodic on a short length scale. We perform a multiscale asymptotic analysis of the full potential theory model and of a family of reduced Boussinesq systems parametrized by a free parameter that is the depth at which the velocity is evaluated. We obtain explicit expressions for the coefficients of the resulting effective Korteweg–de Vries (KdV) equations. We show that it is possible to choose the free parameter of the reduced model so as to match the KdV limits of the full and reduced models. Hence the reduced model is optimal regarding the embedded linear weakly dispersive and weakly nonlinear characteristics of the underlying physical problem, which has a microstructure. We also discuss the impact of the rough bottom on the effective wave propagation. In particular, nonlinearity is enhanced and we can distinguish two regimes depending on the period of the bottom where the dispersion is either enhanced or reduced compared to the flat bottom case.

Josselin Garnier; Roberto A. Kraenkel; André Nachbin

2007-10-12T23:59:59.000Z

232

Modeling and optimization of single-pass laser amplifiers for high-repetition-rate laser pulses  

SciTech Connect (OSTI)

We propose a model for a continuously pumped single-pass amplifier for continuous and pulsed laser beams. The model takes into account Gaussian shape and focusing geometry of pump and seed beam. As the full-wave simulation is complex we have developed a largely simplified numerical method that can be applied to rotationally symmetric geometries. With the tapered-shell model we treat (focused) propagation and amplification of an initially Gaussian beam in a gain crystal. The implementation can be done with a few lines of code that are given in this paper. With this code, a numerical parameter optimization is straightforward and example results are shown. We compare the results of our simple model with those of a full-wave simulation and show that they agree well. A comparison of model and experimental data also shows good agreement. We investigate in detail different regimes of amplification, namely the unsaturated, the fully saturated, and the intermediate regime. Because the amplification process is affected by spatially varying saturation and exhibits a nonlinear response against pump and seed power, no analytical expression for the expected output is available. For modeling of the amplification we employ a four-level system and show that if the fluorescence lifetime of the gain medium is larger than the inverse repetition rate of the seed beam, continuous-wave amplification can be employed to describe the amplification process of ultrashort pulse trains. We limit ourselves to this regime, which implies that if titanium:sapphire is chosen as gain medium the laser repetition rate has to be larger than a few megahertz. We show detailed simulation results for titanium:sapphire for a large parameter set.

Ozawa, Akira; Udem, Thomas; Zeitner, Uwe D.; Haensch, Theodor W.; Hommelhoff, Peter [Max-Planck-Institut fuer Quantenoptik, Hans-Kopfermann-Strasse 1, D-85748 Garching (Germany); Max-Planck-Institut fuer Quantenoptik, Hans-Kopfermann-Strasse 1, D-85748 Garching (Germany); Fraunhofer-Institut fuer Angewandte Optik und Feinmechanik IOF, Albert-Einstein-Strasse 7, D-07745 Jena (Germany); Max-Planck-Institut fuer Quantenoptik, Hans-Kopfermann-Strasse 1, D-85748 Garching (Germany); Max-Planck-Institut fuer Quantenoptik, Hans-Kopfermann-Strasse 1, D-85748 Garching (Germany)

2010-09-15T23:59:59.000Z

233

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

234

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

Broader source: Energy.gov (indexed) [DOE]

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.

235

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

236

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

SciTech Connect (OSTI)

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

237

Improved treatment of uncertainty in hydrologic modeling: Combining the strengths of global optimization and data  

E-Print Network [OSTI]

optimization and data assimilation Jasper A. Vrugt,1 Cees G. H. Diks,2 Hoshin V. Gupta,3 Willem Bouten,1

Vrugt, Jasper A.

238

A Full Demand Response Model in Co-Optimized Energy and  

SciTech Connect (OSTI)

It has been widely accepted that demand response will play an important role in reliable and economic operation of future power systems and electricity markets. Demand response can not only influence the prices in the energy market by demand shifting, but also participate in the reserve market. In this paper, we propose a full model of demand response in which demand flexibility is fully utilized by price responsive shiftable demand bids in energy market as well as spinning reserve bids in reserve market. A co-optimized day-ahead energy and spinning reserve market is proposed to minimize the expected net cost under all credible system states, i.e., expected total cost of operation minus total benefit of demand, and solved by mixed integer linear programming. Numerical simulation results on the IEEE Reliability Test System show effectiveness of this model. Compared to conventional demand shifting bids, the proposed full demand response model can further reduce committed capacity from generators, starting up and shutting down of units and the overall system operating costs.

Liu, Guodong [ORNL; Tomsovic, Kevin [University of Tennessee, Knoxville (UTK)

2014-01-01T23:59:59.000Z

239

A Mixed-Integer Linear Programming Model for Optimizing the Scheduling and Assignment of Tank Farm Operations  

E-Print Network [OSTI]

1 A Mixed-Integer Linear Programming Model for Optimizing the Scheduling and Assignment of Tank) formulation for the Tank Farm Operation Problem (TFOP), which involves simultaneous scheduling of continuous multi-product processing lines and the assignment of dedicated storage tanks to finished products

Grossmann, Ignacio E.

240

Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu and Massoud Pedram  

E-Print Network [OSTI]

1 Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu of a power-managed electronic system. We formulate the problem of system-level power management-digital components. Dynamic power management ­ which refers to selective shut-off or slow-down of system components

Qiu, Qinru

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

Modeling and Optimization of Polymer based Bulk Heterojunction (BH) Solar cell * Biswajit Ray, Pradeep R. Nair, R. Edwin Garca1  

E-Print Network [OSTI]

of the morphology can double the efficiency of BH cells. 1. Introduction Polymer based organic solar cell remains/devices of organic cells to achievable efficiency. The cartoon of a BH solar cell in Fig. 1a illustrates four keyModeling and Optimization of Polymer based Bulk Heterojunction (BH) Solar cell * Biswajit Ray

Alam, Muhammad A.

242

Optimization Online - A binary LP model to the facility layout problem  

E-Print Network [OSTI]

Abstract: In facility layout problems, a major concern is the optimal design or remodeling of the ... Category 1: Applications -- OR and Management Sciences.

Christos Papahristodoulou

243

The Trucking Sector Optimization Model: A tool for predicting carrier and shipper responses to policies aiming to reduce GHG emissions  

Science Journals Connector (OSTI)

Abstract In response to the growing Climate Change problem, governments around the world are seeking to reduce the greenhouse gas (GHG) emissions of trucking. The Trucking Sector Optimization (TSO) model is introduced as a tool for studying the decisions that shippers and carriers make throughout time (focusing on investments in Fuel Saving Technologies), and for evaluating their impact on life-cycle GHG emissions. A case study of fuel taxation in California is used to highlight the importance of (1) modeling the trucking sector comprehensively, (2) modeling the dynamics of the stock of vehicles, and (3) modeling different sources of emissions.

Sebastian E. Guerrero; Samer M. Madanat; Robert C. Leachman

2013-01-01T23:59:59.000Z

244

Power, Efficiency, and Emissions Optimization of a Single Cylinder Direct-Injected Diesel Engine for Testing of Alternative Fuels through Heat Release Modeling  

E-Print Network [OSTI]

Power, Efficiency, and Emissions Optimization of a Single Cylinder Direct-Injected Diesel Engine for Testing of Alternative Fuels through Heat Release Modeling BY Jonathan Michael Stearns Mattson Submitted to the graduate degree program..., Efficiency, and Emissions Optimization of a Single Cylinder Direct-Injected Diesel Engine for Testing of Alternative Fuels through Heat Release Modeling BY Jonathan Michael Stearns Mattson...

Mattson, Jonathan Michael Stearns

2013-08-31T23:59:59.000Z

245

Homer Sanchez Rangeland Management Specialist  

E-Print Network [OSTI]

+/ Ecological sites correlated in ESIS/NASIS 2400 Range & Forest ESDs approved in ESISESD 22 States have ESDs/community/map unit), id map unit component 6. Evaluate data: important community differences and.... a) no soil

246

An optimal penalty method for a hyperbolic system modeling the edge plasma transport in a tokamak  

Science Journals Connector (OSTI)

Abstract The penalization method is used to take account of obstacles, such as the limiter, in a tokamak. Because of the magnetic confinement of the plasma in a tokamak, the transport occurs essentially in the direction parallel to the magnetic field lines. We study a 1D nonlinear hyperbolic system as a simplified model of the plasma transport in the area close to the wall. A penalization which cuts the flux term of the momentum is studied. We show numerically that this penalization creates a Dirac measure at the plasma-limiter interface which prevents us from defining the transport term in the usual distribution sense. Hence, a new penalty method is proposed for this hyperbolic system. For this penalty method, an asymptotic expansion and numerical tests give an optimal rate of convergence without spurious boundary layer. Another two-fields penalization has also been implemented and the numerical convergence analysis when the penalization parameter tends to 0 reveals the presence of a boundary layer.

Philippe Angot; Thomas Auphan; Olivier Guès

2014-01-01T23:59:59.000Z

247

Near-optimal experimental design for model selection in systems biology  

Science Journals Connector (OSTI)

......All 24 shared chemical species are considered...time for each chemical species in the...optimization toolbox for Matlab (Krause, 2010...hypothetico-deductive process. We conclude...Faller D , et al. Simulation methods for optimal...systems biology. Simulation (2003) 79...Supplementary Data - pdf file Supplementary......

Alberto Giovanni Busetto; Alain Hauser; Gabriel Krummenacher; Mikael Sunnåker; Sotiris Dimopoulos; Cheng Soon Ong; Jörg Stelling; Joachim M. Buhmann

2013-10-15T23:59:59.000Z

248

Optimization of Fault Detection/Diagnosis Model for Thermal Storage System Using AIC  

E-Print Network [OSTI]

of the event. In addition, human learning, recognition, and optimal judgment process of any event can be simulated by optimizing the most effective pa-rameters and their numbers for detection and diagnosis by the use of variable selection method. In previous...

Pan, S.; Zheng, M.; Nakahara, N.

2006-01-01T23:59:59.000Z

249

A stochastic optimization model for gas retail with temperature scenarios and oil price parameters  

Science Journals Connector (OSTI)

......paper deals with a new stochastic optimization...information on energy-related indices...paper deals with a new stochastic optimization...formation on energy-related indices...K. (2003) Energy and Power Risk Management. New York: Wiley. JOHANSEN......

F. Maggioni; M. Bertocchi; R. Giacometti; M. T. Vespucci; M. Innorta; E. Allevi

2010-04-01T23:59:59.000Z

250

Review of models and actors in energy mix optimization – can leader visions and decisions align with optimum model strategies for our future energy systems?  

Science Journals Connector (OSTI)

Organizational behavior and stakeholder processes continually influence energy strategy choices and decisions. Although theoretical optimizations can provide guidance for energy mix decisions from a pure physical systems engineering point of view, these solutions might not be optimal from a political or social perspective. Improving the transparency of our vision sharing and strategy making processes in a systematic way is therefore as important as the actual systems engineering solutions proposed by the modeling tools. Energy trend forecasting and back-casting, scenarios and system analysis have matured into powerful modeling tools for providing advice on optimizing our future energy solutions. The integrated use and iterative improvement of all these approaches can result in energy systems that become better optimized. Such an integrated approach is particularly important to those who have decision-making power over our future energy direction. Some of the challenges and opportunities for energy strategists that strive to promote optimal decisions on our future energy solutions are highlighted in this state-of-the-art review.

Ruud Weijermars; Peter Taylor; Olivier Bahn; Subir Ranjan Das; Yi-Ming Wei

2012-01-01T23:59:59.000Z

251

Modeling without categorical variables : a mixed-integer nonlinear program for the optimization of thermal insulation systems.  

SciTech Connect (OSTI)

Optimal design applications are often modeled by using categorical variables to express discrete design decisions, such as material types. A disadvantage of using categorical variables is the lack of continuous relaxations, which precludes the use of modern integer programming techniques. We show how to express categorical variables with standard integer modeling techniques, and we illustrate this approach on a load-bearing thermal insulation system. The system consists of a number of insulators of different materials and intercepts that minimize the heat flow from a hot surface to a cold surface. Our new model allows us to employ black-box modeling languages and solvers and illustrates the interplay between integer and nonlinear modeling techniques. We present numerical experience that illustrates the advantage of the standard integer model.

Abhishek, K.; Leyffer, S.; Linderoth, J. T.; Mathematics and Computer Science; Lehigh Univ.

2010-06-01T23:59:59.000Z

252

Mathematical model of optimal control of a process of periodic verification of measurement devices  

Science Journals Connector (OSTI)

A synthesis of mathematical machinery is presented which allows us to solve the problem of optimizing the extent and periodicity of verification taking into account the parameters of a ... random process of varia...

F. I. Khrapov

1998-07-01T23:59:59.000Z

253

International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 06-08, 2012 Bordeaux -France  

E-Print Network [OSTI]

and implement optimal buffer management techniques. Figure 1. Three pillars of sustainability, adapted from of the network. As defined by Elkington, 1998, sustainability consists of three balanced criteria, including ­ Bordeaux - France "Performance, interoperability and safety for sustainable development" PROTOCOLS

Boyer, Edmond

254

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...

Yang, Mei

2011-10-21T23:59:59.000Z

255

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

E-Print Network [OSTI]

and Control for PEM Fuel Cell Stack System, Proceedings ofmodel for an automotive PEM fuel cell system with imbedded 1Friedman and R.M. Moore, PEM Fuel Cell System Optimization,

Zhao, Hengbing; Burke, Andy

2008-01-01T23:59:59.000Z

256

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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,

257

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

E-Print Network [OSTI]

optimization process minimizing the error between measured and simulated energy consumption. The ?measured? data used in this case was generated by the simulation program and will be referred to as synthetic measured data. The accuracy of calibration...). It is used to prove the possibility of automatic calibration through an optimization process. Synthetic ?data? was generated by the simulation program. This synthetic measured heating and cooling energy consumption data for the prototype building...

Lee, S. U.; Claridge, D.

2002-01-01T23:59:59.000Z

258

Comparison of Optimal Thermodynamic Models of the Tricarboxylic Acid Cycle from Heterotrophs, Cyanobacteria, and Green Sulfur Bacteria  

Science Journals Connector (OSTI)

Comparison of Optimal Thermodynamic Models of the Tricarboxylic Acid Cycle from Heterotrophs, Cyanobacteria, and Green Sulfur Bacteria ... The ability to evaluate the thermodynamics of metabolic pathways allows one to understand the relationship between coupling of energy and material gradients in the environment and the self-organization of stable biological systems, and it is shown that each cycle operates in the direction expected due to its environmental niche. ...

Dennis G. Thomas; Sebastian Jaramillo-Riveri; Douglas J. Baxter; William R. Cannon

2014-11-19T23:59:59.000Z

259

A physically-based heat pump model was connected to an optimization program to form a computer code for use in the design of high-efficiency  

E-Print Network [OSTI]

#12;ABSTRACT A physically-based heat pump model was connected to an optimization program to form a computer code for use in the design of high-efficiency heat pumps. The method used allows efficiency of conventional heat pumps, ten variables were optimized while heating capacity was fixed

Oak Ridge National Laboratory

260

International Conference of Modeling and Simulation -MOSIM'10 -May 10-12, 2010 -Hammamet -Tunisia "Evaluation and optimization of innovative production systems of goods and services"  

E-Print Network [OSTI]

- Tunisia "Evaluation and optimization of innovative production systems of goods and services" CONSISTENCY Factory aims to design, simulate and optimize the production system as early as possible in the product a framework based on a set of multi-layered models representing a production system at the different necessary

Paris-Sud XI, Université de

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

Lattice and off-lattice side chain models of protein folding: Linear time structure prediction better than 86% of optimal  

SciTech Connect (OSTI)

This paper considers the protein structure prediction problem for lattice and off-lattice protein folding models that explicitly represent side chains. Lattice models of proteins have proven extremely useful tools for reasoning about protein folding in unrestricted continuous space through analogy. This paper provides the first illustration of how rigorous algorithmic analyses of lattice models can lead to rigorous algorithmic analyses of off-lattice models. The authors consider two side chain models: a lattice model that generalizes the HP model (Dill 85) to explicitly represent side chains on the cubic lattice, and a new off-lattice model, the HP Tangent Spheres Side Chain model (HP-TSSC), that generalizes this model further by representing the backbone and side chains of proteins with tangent spheres. They describe algorithms for both of these models with mathematically guaranteed error bounds. In particular, the authors describe a linear time performance guaranteed approximation algorithm for the HP side chain model that constructs conformations whose energy is better than 865 of optimal in a face centered cubic lattice, and they demonstrate how this provides a 70% performance guarantee for the HP-TSSC model. This is the first algorithm in the literature for off-lattice protein structure prediction that has a rigorous performance guarantee. The analysis of the HP-TSSC model builds off of the work of Dancik and Hannenhalli who have developed a 16/30 approximation algorithm for the HP model on the hexagonal close packed lattice. Further, the analysis provides a mathematical methodology for transferring performance guarantees on lattices to off-lattice models. These results partially answer the open question of Karplus et al. concerning the complexity of protein folding models that include side chains.

Hart, W.E.; Istrail, S. [Sandia National Labs., Albuquerque, NM (United States). Algorithms and Discrete Mathematics Dept.

1996-08-09T23:59:59.000Z

262

A model for the optimal design of a supply chain network driven by stochastic fluctuations  

E-Print Network [OSTI]

Supply chain optimization schemes have more often than not underplayed the role of inherent stochastic fluctuations in the associated variables. The present article focuses on the associated reengagement and correlated renormalization of supply chain predictions now with the inclusion of stochasticity induced fluctuations in the structure. With a processing production plant in mind that involves stochastically varying production and transportation costs both from the site to the plant as well as from the plant to the customer base, this article proves that the producer may benefit through better outlay in the form of higher sale prices with lowered optimized production costs only through a suitable selective choice of producers whose production cost probability density function abides a Pareto distribution. Lower the Pareto exponent, better is the supply chain prediction for cost optimization. On the other hand, other symmetric (normal) and asymmetric (lognormal) distributions lead to upscaled costs both in t...

Petridis, Kostas; Dey, Prasanta K

2015-01-01T23:59:59.000Z

263

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

264

Optimization in the Parikh-Wilczek tunneling model of Hawking radiation for Kerr-Newman Black Holes  

E-Print Network [OSTI]

In this short report, we investigate the mutual information hidden in the Parikh-Wilczek tunneling model of Hawking radiation for Kerr-Newman black holes. By assuming the radiation as an optimization process, we discuss its effect on time evolution of rotating (charged and uncharged) black holes. For uncharged rotating black holes evaporating under the maximum mutual information optimization, their scale invariant rotation parameter $a_*=a/M$ is almost constant at the early stage but rapidly increase at the very last stage of the evaluation process. The value of rotation parameter at the final state of evaporation depends on the initial condition of the black hole. We also found that the presence of electric charge can cause the black holes lose their angular momentum more rapidly than they lose mass. The charged-rotating black holes asymptotically approach a state which is described by $a_*= 0$ and $Q/M = 1$.

Auttakit Chatrabhuti; Khem Upathambhakul

2014-03-17T23:59:59.000Z

265

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]

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...

Rashed Ali Atta, Hazem Mohamed

2009-06-02T23:59:59.000Z

266

American Institute of Aeronautics and Astronautics Development of a Maintenance Option Model to Optimize  

E-Print Network [OSTI]

to Optimize Offshore Wind Farm Sustainment Peter Sandborn,1 Gilbert Haddad,2 Amir Kashani-Pour2 and Xin Lei2, representing 17-28% of the total levelized cost of offshore wind farms and more for farms that are more than 12 stakeholders. Understanding the life-cycle sustainment requirements of offshore wind farms is an area that has

Sandborn, Peter

267

Optimal policy for a time consistent mean–variance model with regime switching  

Science Journals Connector (OSTI)

......determine the optimal investment policy in the multiperiod...indispensable ingredient of risk control, bankruptcy...market driven by some risk factors, such as economic...indicators, social and political instability, investors...returns across different investment periods should be considered......

Gang Li; Zhi Ping Chen; Jia Liu

2014-09-01T23:59:59.000Z

268

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

Science Journals Connector (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

269

MODEL AND OPTIMIZATION OF ORGANIC PHOTOVOLTAIC CELLS Amelia McNamara  

E-Print Network [OSTI]

advantages. In contrast to the typical silicon-based solar cells, organic cells can be formed from extremely the organic photovoltaic cell, an important topic in the energy industry which has not been well studied. We are especially interested in the optimization of the two active layers in the solar cell, the PEOPT polymer

270

Forecasting GHG emissions using an optimized artificial neural network model based on correlation and principal component analysis  

Science Journals Connector (OSTI)

Abstract The prediction of GHG emissions is very important due to their negative impacts on climate and global warming. The aim of this study was to develop a model for GHG forecasting emissions at the national level using a new approach based on artificial neural networks (ANN) and broadly available sustainability, economical and industrial indicators acting as inputs. The ANN model architecture and training parameters were optimized, with inputs being selected using correlation analysis and principal component analysis. The developed ANN models were compared with the corresponding multiple linear regression (MLR) model, while an ANN model created using transformed inputs (principal components) was compared with a principal component regression (PCR) model. Since the best results were obtained with the ANN model based on correlation analysis, that particular model was selected for the actual 2011 GHG emissions forecasting. The relative errors of the 2010 GHG emissions predictions were used to adjust the ANN model predictions for 2011, which subsequently resulted in the adjusted 2011 predictions having a MAPE value of only 3.60%. Sensitivity analysis showed that gross inland energy consumption had the highest sensitivity to GHG emissions.

Davor Z. Antanasijevi?; Mirjana ?. Risti?; Aleksandra A. Peri?-Gruji?; Viktor V. Pocajt

2014-01-01T23:59:59.000Z

271

Optimal Design and Synthesis of Algal Biorefinery Processes for Biological Carbon Sequestration and Utilization with Zero Direct Greenhouse Gas Emissions: MINLP Model and Global Optimization Algorithm  

Science Journals Connector (OSTI)

Correspondingly, the superstructure is shown in Figure 7, and the border of continuous and discontinuous sections is redefined to cover the feed gas. ... The optimality tolerance for the branch-and-refine algorithm is set to 10–6, and optimality margins of the solving original problem (P1) and the linear relaxation problem (P2) are both zero. ... Sets ...

Jian Gong; Fengqi You

2014-01-03T23:59:59.000Z

272

Reference Model MHK Turbine Array Optimization Study within a Generic River System.  

SciTech Connect (OSTI)

Increasing interest in marine hydrokinetic (MHK) energy has spurred to significant research on optimal placement of emerging technologies to maximize energy conversion and minimize potential effects on the environment. However, these devices will be deployed as an array in order to reduce the cost of energy and little work has been done to understand the impact these arrays will have on the flow dynamics, sediment-bed transport and benthic habitats and how best to optimize these arrays for both performance and environmental considerations. An %22MHK-friendly%22 routine has been developed and implemented by Sandia National Laboratories (SNL) into the flow, sediment dynamics and water-quality code, SNL-EFDC. This routine has been verified and validated against three separate sets of experimental data. With SNL-EFDC, water quality and array optimization studies can be carried out to optimize an MHK array in a resource and study its effects on the environment. The present study examines the effect streamwise and spanwise spacing has on the array performance. Various hypothetical MHK array configurations are simulated within a trapezoidal river channel. Results show a non-linear increase in array-power efficiency as turbine spacing is increased in each direction, which matches the trends seen experimentally. While the sediment transport routines were not used in these simulations, the flow acceleration seen around the MHK arrays has the potential to significantly affect the sediment transport characteristics and benthic habitat of a resource. Evaluation Only. Created with Aspose.Pdf.Kit. Copyright 2002-2011 Aspose Pty Ltd Evaluation Only. Created with Aspose.Pdf.Kit. Copyright 2002-2011 Aspose Pty Ltd

Johnson, Erick; Barco Mugg, Janet; James, Scott; Roberts, Jesse D.

2011-12-01T23:59:59.000Z

273

Application of Modelica/MWorks on modeling, simulation and optimization for electro-hydraulic servo valve system  

Science Journals Connector (OSTI)

Electro-hydraulic servo valve is a typical complicated multi-domain system constituted by mechanical electric hydraulic and magnetic components which is widely used in electro-hydraulic servo systems such as construction machinery heavy equipment weapon and so forth. The traditional method of modeling and simulation of servo valve is based on block diagram or signal flow which cannot describe the servo valve system from components level nor be used in modeling and simulation of overall servo systems. In the procedure of traditional method computational causality must be involved in modeling of servo valve which is inconvenient to execute modification on components or parameters. Modelica is an object-oriented modeling language which is suited for large complex heterogeneous and multi-domain systems. The key features of Modelica are multi-domain object-oriented and non-causal which are suitable for modeling of servo valve and make the model readable reusable and easy to modify. The simulation results show similar curves with traditional method. This new servo valve modeling and simulation method can provide the engineers a more efficient way to design and optimize a servo valve and an overall servo system.

Ming Li; Guang Meng; Jianping Jing; Jinyang Liu; Zuoyang Zhong

2012-01-01T23:59:59.000Z

274

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

Science Journals Connector (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

275

OptIC project: An intercomparison of optimization techniques for parameter estimation in terrestrial biogeochemical models  

E-Print Network [OSTI]

and earth system models, especially for long-term (multian- nual and greater) simulations. Data assimilation

Richardson, Andrew D.

276

2009 - Optimization Online  

E-Print Network [OSTI]

Modeling the Mobile Oil Recovery Problem as a Multiobjective Vehicle Routing Problem ... Optimal Security Response to Attacks on Open Science Grids

277

Optimal control of xenon concentration by observer design under reactor model uncertainty  

SciTech Connect (OSTI)

The state feedback in control theory enjoys many advantages, such as stabilization and improved transient response, which could be beneficially used for control of the xenon oscillation in a power reactor. It is, however, not possible in nuclear reactors to measure the state variables, such as xenon and iodine concentrations. For implementation of the optimal state feedback control law, it is thus necessary to estimate the unmeasurable state variables. This paper uses the Luenberger observer to estimate the xenon and iodine concentrations to be used in a linear quadratic problem with state feedback. To overcome the stiffness problem in reactor kinetics, a singular perturbation method is used.

Cho, Nam Z.; Yang, Chae Y.; Woo, Hae S.

1989-01-01T23:59:59.000Z

278

Energy Saving Model for Sensor Network Using Ant Colony Optimization Algorithm  

Science Journals Connector (OSTI)

In this paper, we propose an energy saving model for sensor network by finding the ... results show that the proposed model reduces the energy consumption by reducing the amount of data...

Doreswamy; S. Narasegouda

2014-01-01T23:59:59.000Z

279

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

E-Print Network [OSTI]

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

Natti, Satish

2010-01-14T23:59:59.000Z

280

Dynamic modeling and optimal control of DFIG wind energy systems using DFT and NSGA-II  

Science Journals Connector (OSTI)

Abstract Once a doubly-fed induction generator (DFIG) is subjected to a disturbance by a change in the wind speed, the stator flux cannot change instantly. Under this condition, rotor back-EMF voltages reflect the effects of stator dynamics on rotor current dynamics, and have an important role on the oscillations of the rotor current. These oscillations decrease the DFIG system reliability and gear lifetime. Moreover, by focusing only on small signal analysis, the dynamic damping performance immediately following such disturbances is often degraded. Additional improvement in performance will be achieved if discrete Fourier transform (DFT) is used to quantify damping characteristic of the rotor current during changes of the operating points. This paper introduces an optimization technique based on non-dominated sorting genetic algorithm-II (NSGA-II) incorporating DFT analysis to achieve better control performance for DFIG system stability. Considering small signal stability, the main purpose of the control system in the present paper is to increase the system damping ratio as well as to guarantee enough stability margin. Eigenvalue analysis and time-domain simulations have been presented to demonstrate that the proposed optimizing method yields better control performance in comparison with one designed using mere eigenvalue relocation.

M. Zamanifar; B. Fani; M.E.H. Golshan; H.R. Karshenas

2014-01-01T23:59:59.000Z

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

COST EFFECTIVE SIMULATION OF THE HYBRID SOLAR/WIND AND DIESEL ENERGY SYSTEM IN RURAL AREA  

Science Journals Connector (OSTI)

This paper describes the optimization of a hybrid energy system model. Currently in Sarawak people living in the rural areas still depend on diesel generators to generate electricity. This increases the demand for fossil fuel creates noise pollution and toxic gas is emitted to the environment. Hence hybrid energy systems were introduced to replace this conventional energy system as well as improving the living standard in the villages. In this paper several hybrid energy system configurations were investigated in order to find out the most cost effective hybrid system through Hybrid Optimization Model for Electric Renewability (Homer) software. Homer simulates optimizes and analyzes the sensitivity variables for each of the system configurations.

Ee. Y. Sim; Nader Barsoum

2008-01-01T23:59:59.000Z

282

Combining multiobjective optimization and Bayesian model averaging to calibrate forecast ensembles of  

E-Print Network [OSTI]

of soil hydraulic models Thomas Wo¨hling1 and Jasper A. Vrugt2 Received 12 May 2008; revised 8 September

Vrugt, Jasper A.

283

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

Broader source: Energy.gov [DOE]

Presentation slides from the US DOE Fuel Cell Technologies Office webinar, Wind-to-Hydrogen Cost Modeling and Project Findings, on held January 17, 2013.

284

A generalized interval probability-based optimization method for training generalized hidden Markov model  

Science Journals Connector (OSTI)

Recently a generalized hidden Markov model (GHMM) was proposed for solving the information fusion problems under aleatory and epistemic uncertainties in engineering application. In GHMM, aleatory uncertainty is captured by the probability measure whereas ... Keywords: Generalized Baum-Welch algorithm, Generalized Jensen inequality, Generalized hidden Markov model, Generalized interval probability, State recognition

Fengyun Xie; Bo Wu; Youmin Hu; Yan Wang; Guangfei Jia; Yao Cheng

2014-01-01T23:59:59.000Z

285

Improving the Performance of Mass-Consistent Numerical Models Using Optimization Techniques  

Science Journals Connector (OSTI)

This paper describes a technique of using a mass-consistent model to derive wind speeds over a microscale region (about 4 km2) of complex terrain. A serious limitation of these numerical models is that the calculated wind field is highly ...

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

1987-06-01T23:59:59.000Z

286

Resource Optimization for CSDF-modeled Streaming Applications with Latency Constraints  

E-Print Network [OSTI]

to execute the application should be minimized for better resource usage and energy efficiency. A few efforts modeled as CSDF graphs, where the actors of a CSDF are executed as strictly periodic tasks. We formalize evaluate our solution approach on a set of 13 real-life streaming applications modeled as CSDF graphs

Stefanov, Todor Plamenov

287

International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 06-08, 2012 Bordeaux -France  

E-Print Network [OSTI]

ALGORITHM FOR A LI-ION BATTERY EQUIVALENT ELECTRICAL CIRCUIT IDENTIFICATION R. AL NAZER, V. CATTIN, diverse equivalent electrical circuits have been used to modelize Li-ion battery behaviour. However (EEC) introduces non integer derivatives to accurately modelize the Li-ion battery behaviour. We

Paris-Sud XI, Université de

288

Development of a stochastic simulation–optimization model for planning electric power systems – A case study of Shanghai, China  

Science Journals Connector (OSTI)

Abstract In this study, a stochastic simulation–optimization model (SSOM) is developed for planning electric power systems (EPS) under uncertainty. SSOM integrates techniques of support-vector-regression (SVR), Monte Carlo simulation, and inexact chance-constrained programming (ICP) into a general framework. SVR coupled Monte Carlo technique is used to predict the electricity consumption amount; ICP is effective for reflecting the reliability of satisfying (or risk of violating) system constraints under uncertainty. The SSOM can not only predict the electricity demand exactly, but also allows uncertainties presented as interval values and probability distributions. The developed SSOM is applied to a real-case study of planning the EPS of Shanghai, with an objective of minimizing system cost and under constraints of resources availability and environmental regulations. Different scenarios associated with SO2-emission policies are analyzed. Results are valuable for (a) facilitating predicting electricity demand, and generating useful solutions including the optimal strategies regarding energy sources allocation, electricity conversion technologies, and capacity expansion schemes, (b) resolving of conflicts and interactions among economic cost, electricity generation pattern, SO2-emission mitigation, and system reliability, and (c) identifying strategies for improving air quality in Shanghai through analyzing the economic and environmental implications associated with SO2-emission reduction policies.

M.J. Piao; Y.P. Li; G.H. Huang

2014-01-01T23:59:59.000Z

289

Convex Optimization Course Welcome Pack  

E-Print Network [OSTI]

1 NATCOR Convex Optimization Course 23rd ­ 27th June 2014 Welcome Pack This pack contains. ABSTRACT Convex optimization is the fundamental process of optimal decision-making. Although mathematically restrictive, many practical problems may be modelled directly as convex optimization problems. Convex

Hall, Julian

290

Optimization Journals, Sites, Societies  

E-Print Network [OSTI]

Optimization Online Links. Optimization related societies. Mathematical Optimization Society · SIAM · INFORMS. Optimization related journals. Mathematical ...

291

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 ...

Tan, Bui-Thanh

292

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

293

Design and optimization of cellular manufacturing systems: a methodology for developing robotic workcell simulation models  

Science Journals Connector (OSTI)

Robotic workcell simulation is a modeling-based problem solving approach developed for the design, analysis, and offline programming of robotic workcells. Current industrial practices show that commercial robotic simulation software packages are able ...

Frank S. Cheng

2000-12-01T23:59:59.000Z

294

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 ...

Ming-Jun Lai

2012-01-22T23:59:59.000Z

295

State-space modeling and optimal control of ship motions in a seastate  

E-Print Network [OSTI]

In this thesis, a new state-space model and motion control algorithm are developed from first principles for the improvement of the seakeeping performance of high-speed vessels equipped with lifting appendages that are ...

Ulusoy, Talha

2006-01-01T23:59:59.000Z

296

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

E-Print Network [OSTI]

a Direct-Hydrogen, Load-Following Fuel Cell Vehicle, SAEversus a Direct-Hydrogen Load-Following Fuel Cell Vehicle,vehicle model of a load-following direct hydrogen fuel cell

Zhao, Hengbing; Burke, Andy

2008-01-01T23:59:59.000Z

297

Geometric modeling and optimization in 3D solar cells : implementation and algorithms .  

E-Print Network [OSTI]

??Conversion of solar energy in three-dimensional (3D) devices has been essentially untapped. In this thesis, I design and implement a C++ program that models and… (more)

Wan, Jin Hao, M. Eng. Massachusetts Institute of; Technology

2014-01-01T23:59:59.000Z

298

Curvature-based criteria for model reduction in chemical kinetics via optimization of trajectories  

E-Print Network [OSTI]

that the computational effort for a full simulation of reactive flows, e.g. of fluid transport involving combustion processes, is computationally extremely expensive. For a simulation in reasonable time reduced models

Gorban, Alexander N.

299

Optimization Online - Nonlinear Optimization Submissions - 2012  

E-Print Network [OSTI]

Reformulation of a model for hierarchical divisive graph modularity ... Approximation of Matrix Rank Function and Its Application to Matrix Rank ... MSS: MATLAB software for L-BFGS trust-region subproblems for large-scale optimization

300

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

SciTech Connect (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. 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

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

A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics  

Science Journals Connector (OSTI)

The distribution of emergency goods to a population affected by a disaster is one of the most fundamental operations in Humanitarian Logistics. In the case of a particularly disruptive event, parts of the distribution infrastructure (e.g., bridges, roads) can be damaged. This damage would make it impossible and/or unsafe for the vehicles to reach all the centers of demand (e.g., towns and villages). In this paper, we propose and solve the problem of planning for recovery of damaged elements of the distribution network, so that the consequent distribution planning would benefit the most. We apply the model, called RecHADS, to a case study based on the 2010 Haiti earthquake. We also show empirically the importance of coordinating recovery and distribution operations optimization.

F. Liberatore; M.T. Ortuño; G. Tirado; B. Vitoriano; M.P. Scaparra

2014-01-01T23:59:59.000Z

302

Optimization of Computational Performance and Accuracy in 3?D Transient CFD Model for CFB Hydrodynamics Predictions  

Science Journals Connector (OSTI)

This work aims to present a pure 3?D CFD model accurate and efficient for the simulation of a pilot scale CFB hydrodynamics. The accuracy of the model was investigated as a function of the numerical parameters in order to derive an optimum model setup with respect to computational cost. The necessity of the in depth examination of hydrodynamics emerges by the trend to scale up CFBCs. This scale up brings forward numerous design problems and uncertainties which can be successfully elucidated by CFD techniques. Deriving guidelines for setting a computational efficient model is important as the scale of the CFBs grows fast while computational power is limited. However the optimum efficiency matter has not been investigated thoroughly in the literature as authors were more concerned for their models accuracy and validity. The objective of this work is to investigate the parameters that influence the efficiency and accuracy of CFB computational fluid dynamics models find the optimum set of these parameters and thus establish this technique as a competitive method for the simulation and design of industrial large scale beds where the computational cost is otherwise prohibitive. During the tests that were performed in this work the influence of turbulence modeling approach time and space density and discretization schemes were investigated on a 1.2 MWth CFB test rig. Using Fourier analysis dominant frequencies were extracted in order to estimate the adequate time period for the averaging of all instantaneous values. The compliance with the experimental measurements was very good. The basic differences between the predictions that arose from the various model setups were pointed out and analyzed. The results showed that a model with high order space discretization schemes when applied on a coarse grid and averaging of the instantaneous scalar values for a 20 sec period adequately described the transient hydrodynamic behaviour of a pilot CFB while the computational cost was kept low. Flow patterns inside the bed such as the core?annulus flow and the transportation of clusters were at least qualitatively captured.

I. Rampidis; A. Nikolopoulos; N. Koukouzas; P. Grammelis; E. Kakaras

2007-01-01T23:59:59.000Z

303

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

Science Journals Connector (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 parametrize the cosmic expansion by the two parameters, w0 and wa, and the linear growth rate of density fluctuations by Linder’s ?, independently. Dark energy models generically predict ??0.55, while the Dvali-Gabadadze-Porrati (DGP) model ??0.68. To determine if future imaging surveys can constrain ? within 20% (or ??survey such as the ongoing 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?several?10??min; a shallow and wide survey is preferred to constrain the ? parameter. While ??survey alone, one can improve the constraints by combining with a follow-up spectroscopic survey like Wide-field Fiber-fed Multi-Object Spectrograph (WFMOS) and/or future cosmic microwave background (CMB) observations.

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

2007-07-09T23:59:59.000Z

304

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\\gammasurvey 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 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

305

Optimization Online - All Areas Submissions - October 2014  

E-Print Network [OSTI]

Gas Network Optimization: A comparison of Piecewise Linear Models CARLOS ... PSMG-A Parallel Structured Model Generator for Mathematical Programming

306

Hybrid Artificial Neural Network?Genetic Algorithm Technique for Modeling and Optimization of Plasma Reactor  

Science Journals Connector (OSTI)

(11)?Fissore, D.; Barresi, A. A.; Manca, D. Modelling of Methanol Synthesis in a Network of Forced Unsteady-state Ring Reactor by Artificial Neural Networks for Control Purposes. ... Trials were performed using one or two hidden layers with the no. of neurons varied from 4 to 30. ...

Istadi; N. A. S. Amin

2006-09-02T23:59:59.000Z

307

Optimal operation of hydrothermal systems with Hydrological Scenario Generation through Bootstrap and Periodic Autoregressive Models  

Science Journals Connector (OSTI)

In electrical power systems with strong hydro generation, the use of adequate techniques to generate synthetic hydrological scenarios is extremely important for the evaluation of the ways the system behaves in order to meet the forecast energy demand. This paper proposes a new model to generate natural inflow energy scenarios in the long-term operation planning of large-sized hydrothermal systems. This model is based on the Periodic Autoregressive Model, PAR (p), where the identification of the p orders is based on the significance of the Partial Autocorrelation Function (PACF) estimated via Bootstrap, an intensive computational technique. The scenarios generated through this new technique were applied to the operation planning of the Brazilian Electrical System (BES), using the previously developed methodology of Stochastic Dynamic Programming based on Convex Hull algorithm (SDP-CHull). The results show that identification via Bootstrap is considerably more parsimonious, leading to the identification of lower orders models in most cases which retains the statistical characteristics of the original series. Additionally it presents a closer total mean operation cost when compared to the cost obtained via historic series.

Reinaldo Castro Souza; André Lu?´s Marques Marcato; Bruno Henriques Dias; Fernando Luiz Cyrino Oliveira

2012-01-01T23:59:59.000Z

308

Computational Modeling and Optimization of a Novel Shock Tube to Study Blast Induced Traumatic Brain Injury  

E-Print Network [OSTI]

. Various 2D models to simulate the shock wave propagation in a shock tube to see the effects of varying shock tube geometry and working fluid on the blast profiles were developed. Ranges of different parameters evaluated are: tube length - 5ft to 25ft; tube...

Anumolu, Pratima

2014-08-06T23:59:59.000Z

309

Optimal Velocity Profile Generation for given Acceleration Limits; The Half-Car Model Case  

E-Print Network [OSTI]

average curvature, or a path of minimum combined cost. Since the dynamics of the vehicle are not included. Velenis and P. Tsiotras Georgia Institute of Technology School of Aerospace Engineering, Atlanta, GA, USA is an extension of [1] where a point-mass model of the vehicle was used. The acceleration envelope of the vehicle

Tsiotras, Panagiotis

310

The JCSG MR pipeline: optimized alignments, multiple models and parallel searches  

Science Journals Connector (OSTI)

The practical limits of molecular replacement can be extended by using several specifically designed protein models based on fold-recognition methods and by exhaustive searches performed in a parallelized pipeline. Updated results from the JCSG MR pipeline, which to date has solved 33 molecular-replacement structures with less than 35% sequence identity to the closest homologue of known structure, are presented.

Schwarzenbacher, R.

2007-12-04T23:59:59.000Z

311

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

SciTech Connect (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

312

A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis  

E-Print Network [OSTI]

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

Grossmann, Ignacio E.

313

Dasatinib (BMS-354825) Pharmacokinetics and Pharmacodynamic Biomarkers in Animal Models Predict Optimal Clinical Exposure  

Science Journals Connector (OSTI)

...Bristol-Myers Squibb Company, Princeton, New Jersey The costs...inhibition correlated with the plasma levels of dasatinib in...inhibition correlated with the plasma levels of dasatinib in...modeling predicted that the plasma concentration of dasatinib...Bristol-Myers Squibb Company, Princeton, New Jersey 08543...

Feng R. Luo; Zheng Yang; Amy Camuso; Richard Smykla; Kelly McGlinchey; Krista Fager; Christine Flefleh; Stephen Castaneda; Ivan Inigo; David Kan; Mei-Li Wen; Robert Kramer; Anne Blackwood-Chirchir; and Francis Y. Lee

2006-12-01T23:59:59.000Z

314

Long Proteins with Unique Optimal Foldings in the H-P Model ?  

E-Print Network [OSTI]

state of proteins is a global energy minimum, and (2) in most cases proteins fold to a unique state model designed to answer qualitative questions about the protein folding process. In this paper we; 1 Introduction Protein folding [14,22,30] is a central problem in molecular and computational

315

Robustness in Combinatorial Optimization and Scheduling Theory ...  

E-Print Network [OSTI]

ten years in the area of combinatorial optimization and scheduling theory .... with robust reformulation of optimization model by adapting robust control ...

2006-09-26T23:59:59.000Z

316

Forecourt and Gas Infrastructure Optimization | Department of...  

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

Optimization Forecourt and Gas Infrastructure Optimization Presentation by Bruce Kelly of Nexant at the Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9,...

317

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

SciTech Connect (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

318

Sporting Good Manufacturing Company: Optimal Manufacturing and Shipping Cost Through Linear Programming Models  

E-Print Network [OSTI]

Figure 15: Example Transshipment Model.............................................................................. 18 vi List of Principal Symbols and Nomenclature SGMC Sporting Good Manufacturing Company LP Linear Programming CEO Chief... Executive Officer COO Chief Operation Officer PKR Pakistani Rupees EMGT Engineering Management O.F. Objective Function A i No. of bats manufactured in factory i; where i = k, l BB i No. of Stumps manufactured in factory i; where i = k, l C i No...

Malik, Ejaz

2009-05-15T23:59:59.000Z

319

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

320

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

SciTech Connect (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

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.


321

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

SciTech Connect (OSTI)

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

322

D-optimal design for Rapid Assessment Model of CO2 flooding in high water cut oil reservoirs  

Science Journals Connector (OSTI)

Abstract Most of major oilfields in China have reached high water cut stage, but still, they contribute to more than 70% of domestic oil production. How to extract more oil from mature oilfields has become a hot topic in petroleum engineering. Carbon dioxide flooding is a win–win strategy because it can enhance oil recovery and simultaneously reduce CO2 emissions into the atmosphere. In order to evaluate the potentials of CO2 flooding in high water cut oil reservoirs, various 3-D heterogeneous geological models were built based on Guan 104 fault block in Dagang Oilfield to perform reservoir simulations. The D-optimal design was applied to build and verify the Rapid Assessment Model of CO2 flooding in high water cut oil reservoirs. Five quantitative variables were considered, including average horizontal permeability, permeability variation coefficient, ratio of vertical to horizontal permeability, net thickness of formation and percentage of recoverable reserves by water flooding. The process of weighting emphasized the contributions of linear terms, quadratic terms and first-order interactions of five quantitative parameters to improved recovery factor and Net Present Value of CO2 flooding. Using the Rapid Assessment Model of CO2 flooding in high water cut oil reservoirs, significant first-order interactions were sorted out and type curves were established and analyzed for the evaluation of technical and economic efficiency of CO2 flooding in high water cut oil reservoirs. Aimed at oil reservoirs with the similar geological conditions and fluid properties as Guan 104 fault block, the Rapid Assessment Model and type curves of CO2 flooding in high water cut oil reservoirs can be applied to predict improved recovery factor and Net Present Value of water-alternating-CO2 flooding at different conditions of reservoir parameters and development parameter. The approach could serve as a guide for the application and spread of CO2-EOR projects.

Zhaojie Song; Zhiping Li; Chunsheng Yu; Jirui Hou; Mingzhen Wei; Baojun Bai; Yunpeng Hu

2014-01-01T23:59:59.000Z

323

Paper No. ICETECH12-108-R0 Lu Page number: 1 Modeling and Optimization of Docking Stations and AUVs for Ice Floe Measurement  

E-Print Network [OSTI]

Paper No. ICETECH12-108-R0 Lu Page number: 1 Modeling and Optimization of Docking Stations to the system. Finally, we create a visualization tool to graphically represent the docking station. INTRODUCTION Some oil and gas companies are drilling and developing fields in the Arctic Ocean, which has

Morton, David

324

Coupled Thermal-Hydrological-Mechanical-Chemical Model And Experiments For Optimization Of Enhanced Geothermal System Development And Production: Evaluation of Stimulation at the Newberry Volcano EGS Demonstration Site  

Broader source: Energy.gov [DOE]

Coupled Thermal-Hydrological-Mechanical-Chemical Model And Experiments For Optimization Of Enhanced Geothermal System Development And Production: Evaluation of Stimulation at the Newberry Volcano EGS Demonstration Site through Natural Isotopic Reactive Tracers and Geochemical Investigation presentation at the April 2013 peer review meeting held in Denver, Colorado.

325

Modeling and Optimization of Direct Chill Casting to Reduce Ingot Cracking  

SciTech Connect (OSTI)

Approximately 68% of the aluminum produced in the United States is first cast into ingots prior to further processing into sheet, plate, extrusions, or foil. The direct chill (DC) semi-continuous casting process has been the mainstay of the aluminum industry for the production of ingots due largely to its robust nature and relative simplicity. Though the basic process of DC casting is in principle straightforward, the interaction of process parameters with heat extraction, microstructural evolution, and development of solidification stresses is too complex to analyze by intuition or practical experience. One issue in DC casting is the formation of stress cracks [1-15]. In particular, the move toward larger ingot cross-sections, the use of higher casting speeds, and an ever-increasing array of mold technologies have increased industry efficiencies but have made it more difficult to predict the occurrence of stress crack defects. The Aluminum Industry Technology Roadmap [16] has recognized the challenges inherent in the DC casting process and the control of stress cracks and selected the development of 'fundamental information on solidification of alloys to predict microstructure, surface properties, and stresses and strains' as a high-priority research need, and the 'lack of understanding of mechanisms of cracking as a function of alloy' and 'insufficient understanding of the aluminum solidification process', which is 'difficult to model', as technology barriers in aluminum casting processes. The goal of this Aluminum Industry of the Future (IOF) project was to assist the aluminum industry in reducing the incidence of stress cracks from the current level of 5% to 2%. Decreasing stress crack incidence is important for improving product quality and consistency as well as for saving resources and energy, since considerable amounts of cast metal could be saved by eliminating ingot cracking, by reducing the scalping thickness of the ingot before rolling, and by eliminating butt sawing. Full-scale industrial implementation of the results of the proposed research would lead to energy savings in excess of 6 trillion Btu by the year 2020. The research undertaken in this project aimed to achieve this objective by a collaboration of industry, university, and national laboratory personnel through Secat, Inc., a consortium of aluminum companies. During the four-year project, the industrial partners and the research team met in 16 quarterly meetings to discuss research results and research direction. The industrial partners provided guidance, facilities, and experience to the research team. The research team went to two industrial plants to measure temperature distributions in commercial 60,000-lb DC casting ingot production. The project focused on the development of a fundamental understanding of ingot cracking and detailed models of thermal conditions, solidification, microstructural evolution, and stress development during the initial transient in DC castings of the aluminum alloys 3004 and 5182. The microstructure of the DC casting ingots was systematically characterized. Carefully designed experiments were carried out at the national laboratory and university facilities as well as at the industrial locations using the industrial production facilities. The advanced computational capabilities of the national laboratories were used for thermodynamic and kinetic simulations of phase transformation, heat transfer and fluid flow, solidification, and stress-strain evolution during DC casting. The achievements of the project are the following: (1) Identified the nature of crack formation during DC casting; (2) Developed a novel method for determining the mechanical properties of an alloy at the nonequilibrium mushy zone of the alloy; (3) Measured heat transfer coefficients (HTCs) between the solidifying ingot and the cooling water jet; (4) Determined the material constitutive model at high temperatures; and (5) Developed computational capabilities for the simulation of cracking formation in DC casting ingot. The models and the database de

Das, S.K.; Ningileri, S.; Long, Z.; Saito, K.; Khraisheh, M.; Hassan, M.H.; Kuwana, K.; Han, Q.; Viswanathan, S.; Sabau, A.S.; Clark, J.; Hyrn, J. (ANL)

2006-08-15T23:59:59.000Z

326

Optimization Neuroimaging'',  

E-Print Network [OSTI]

Canonical Ridge Analysis with Ridge Parameter Optimization F. �. Nielsen, L. K. Hansen and S. C - PLS 1 = k 0 = k optimal k k = optimal k k £ £ 0 #12; Canonical Ridge Analysis with Ridge Parameter Optimization F. �. Nielsen, L. K. Hansen and S. C. Strother The Human Brain Project, P20 MH57180 ``Spatial

Nielsen, Finn Ã?rup

327

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 (OSTI)

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

328

Using Genetic Algorithms to Optimize Bathymetric Surveys for Hydrodynamic Model Input  

E-Print Network [OSTI]

/ L r a t i o (a) Fig. 2.6: Sensitivity of model results to shoal form parameters: (a) Rx / L and Ry / L (b) hs / h. 12 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 0 . 0 5 0 . 1 0 . 1 5 0 . 2 0 . 2 5 0 . 3 h s / h r a t i o R e la ti ve R M S ch a n... . 4 1 . 6 1 . 8 2 - 0 . 0 1 0 0 . 0 1 0 . 0 2 0 . 0 3 0 . 0 4 0 . 0 5 0 . 0 6 0 . 0 7 0 . 0 8 0 . 0 9 R e so lu t i o n ( i n m ) R e la ti ve r m s e rr o r D a t a p o i n t s F i t t o d a t a p o i n t s 0 . 2 0 . 4 0 . 6 0 . 8 1 1...

Manian, Dinesh

2010-07-14T23:59:59.000Z

329

Toward an Optimal Position for IVC Filters: Computational Modeling of the Impact of Renal Vein Inflow  

SciTech Connect (OSTI)

The purpose of this report is to evaluate the hemodynamic effects of renal vein inflow and filter position on unoccluded and partially occluded IVC filters using three-dimensional computational fluid dynamics. Three-dimensional models of the TrapEase and Gunther Celect IVC filters, spherical thrombi, and an IVC with renal veins were constructed. Hemodynamics of steady-state flow was examined for unoccluded and partially occluded TrapEase and Gunther Celect IVC filters in varying proximity to the renal veins. Flow past the unoccluded filters demonstrated minimal disruption. Natural regions of stagnant/recirculating flow in the IVC are observed superior to the bilateral renal vein inflows, and high flow velocities and elevated shear stresses are observed in the vicinity of renal inflow. Spherical thrombi induce stagnant and/or recirculating flow downstream of the thrombus. Placement of the TrapEase filter in the suprarenal vein position resulted in a large area of low shear stress/stagnant flow within the filter just downstream of thrombus trapped in the upstream trapping position. Filter position with respect to renal vein inflow influences the hemodynamics of filter trapping. Placement of the TrapEase filter in a suprarenal location may be thrombogenic with redundant areas of stagnant/recirculating flow and low shear stress along the caval wall due to the upstream trapping position and the naturally occurring region of stagnant flow from the renal veins. Infrarenal vein placement of IVC filters in a near juxtarenal position with the downstream cone near the renal vein inflow likely confers increased levels of mechanical lysis of trapped thrombi due to increased shear stress from renal vein inflow.

Wang, S L; Singer, M A

2009-07-13T23:59:59.000Z

330

A multi-period modelling and optimization approach to the planning of China's power sector with consideration of carbon dioxide mitigation  

Science Journals Connector (OSTI)

A great challenge China's power sector faces is to mitigate its carbon dioxide emissions while satisfying the ever-increasing power demand. Optimal planning of the power sector with consideration of carbon mitigation for a long-term future remains a complex task, involving many technical alternatives and an infinite number of possible plants installations, retrofitting, and decommissioning over the planning horizon. This paper presents a multi-period modelling and optimization framework for the optimal planning of China's power sector between 2010 and 2050. The planning horizon is divided into several time intervals, over which power plants of all types can be installed, retrofitted, or closed. Impacts of carbon mitigation related measures, including carbon cap and price, application of carbon capture and sequestration, are explicitly represented. A case study follows, based on real-life data of existing capacity of China's power sector in 2009, and a year-by-year development plan for China's power sector is proposed.

Dongjie Zhang; Pei Liu; Linwei Ma; Zheng Li; Weidou Ni

2012-01-01T23:59:59.000Z

331

A fluctuational electrodynamics model for the optimization of light-extraction efficiency in thin-film light-emitting diodes  

SciTech Connect (OSTI)

The rapid development of thin film light-emitting diodes (LEDs) has enabled the enhancement of the light extraction beyond geometrical limits but more quantitative understanding of the underlying optical processes is required to fully optimize the extraction. We present first-principle calculations of the light extraction efficiency and optical energy flow in thin-film LEDs. The presented model generalizes the methods of fluctuational electrodynamics to excited semiconductors and simultaneously accounts for wave optical effects, e.g., interference and near-field coupling as well as the internal absorption of the light-emitting material in determining the rate of light emission and internal dissipation in the optical cavity formed by a planar LED. The calculations show that in structures with a metallic mirror, the emissivity of the active region can approach unity at selected wavelengths, even when the nominal emissivity of the active region is only moderate. However, the results also show that near-field coupling of emission from the active region to the mirror can provide a substantial non-radiative loss channel reducing the maximum light extraction efficiency to 0.67 in our example setup. These losses can be partly compensated by the efficient photon recycling enabled by thick active regions that quench emission to confined modes and thereby reduce parasitic absorption.

Heikkilä, Oskari, E-mail: oskari.heikkila@aalto.fi; Oksanen, Jani; Tulkki, Jukka [Department of Biomedical Engineering and Computational Science, Aalto University, Helsinki (Finland)

2013-12-14T23:59:59.000Z

332

Improved Titanium Billet Inspection Sensitivity through Optimized Phased Array Design, Part I: Design Technique, Modeling and Simulation  

SciTech Connect (OSTI)

Reductions in the beam diameter and pulse duration of focused ultrasound for titanium inspections are believed to result in a signal-to-noise ratio improvement for embedded defect detection. It has been inferred from this result that detection limits could be extended to smaller defects through a larger diameter, higher frequency transducer resulting in a reduced beamwidth and pulse duration. Using Continuum Probe Designer{sup TM} (Pat. Pending), a transducer array was developed for full coverage inspection of 8 inch titanium billets. The main challenge in realizing a large aperture phased array transducer for billet inspection is ensuring that the number of elements remains within the budget allotted by the driving electronics. The optimization technique implemented by Continuum Probe Designer{sup TM} yields an array with twice the aperture but the same number of elements as existing phased arrays for the same application. The unequal area element design was successfully manufactured and validated both numerically and experimentally. Part I of this two-part series presents the design, simulation and modeling steps, while Part II presents the experimental validation and comparative study to multizone.

Lupien, Vincent [Acoustic Ideas Inc., 27 Eaton Street, Wakefield, MA 01880 (United States); Hassan, Waled [Honeywell Aerospace, 111 S. 34th Street, M/S 503-118 Phoenix, AZ 85034, Phoenix, AZ 85034 (United States); Dumas, Philippe [Imasonic SA, 15 rue Alain Savary 25000 Besancon (France)

2006-03-06T23:59:59.000Z

333

Biomass combustion for electric power: Allocation and plant siting using non-linear modeling and mixed integer optimization  

Science Journals Connector (OSTI)

Electricity generation from the combustion of biomass feedstocks provides low-carbon energy that is not as geographically constricted as other renewable technologies. This study uses non-linear programming to provide policymakers with scenarios of possible sources of biomass for power generation as well as locations and types of electricity generation facilities utilizing biomass. The scenarios are obtained by combining the output from existing agricultural optimization models with a non-linear mathematical program that calculates the least-cost ways of meeting an assumed biomass electricity standard. The non-linear program considers region-specific cultivation and transportation costs of biomass fuels as well as the costs of building and operating both coal plants capable of co-firing biomass and new dedicated biomass combustion power plants. The results of the model provide geographically detailed power plant allocation patterns that minimize the total cost of meeting the generation requirements which are varying proportions of total U.S. electric power generation under the assumptions made. The amount of each cost component comprising the objective functions of the various requirements are discussed and the results show that approximately two-thirds of the total cost of meeting a biomass electricity standard occurs on the farms and forests that produce the biomass. Plant capital costs and biomass transportation costs comprise the largest share of the remaining costs. The most important policy conclusion is that biomass use in power plants will require significant subsidies perhaps as much as half of their cost if they are to achieve significant penetrations in U.S. electricity markets.

2013-01-01T23:59:59.000Z

334

SciTech Connect: optimal initial conditions for coupling ice...  

Office of Scientific and Technical Information (OSTI)

Conference: optimal initial conditions for coupling ice sheet models to earth system models Citation Details In-Document Search Title: optimal initial conditions for coupling ice...

335

Optimization Online - Optimal Power Grid Protection through A ...  

E-Print Network [OSTI]

Feb 22, 2013 ... Optimal Power Grid Protection through A Defender-Attacker-Defender Model. Wei Yuan (weiyuan ***at*** mail.usf.edu) Long Zhao (longzhao ...

Wei Yuan

2013-02-22T23:59:59.000Z

336

System Modeling and Optimization  

E-Print Network [OSTI]

IFIP was founded in 1960 under the auspices of UNESCO, following the First World Computer Congress held in Paris the previous year. An umbrella organization for societies working in information processing, IFIP’s aim is two-fold: to support information processing within its member countries and to encourage technology transfer to developing nations. As its mission statement clearly states, IFIP’s mission is to be the leading, truly international, apolitical organization which encourages and assists in the development, exploitation and application of information technology for the benefit of all people. IFIP is a non-profitmaking organization, run almost solely by 2500 volunteers. It operates through a number of technical committees, which organize events and publications. IFIP’s events range from an international congress to local seminars, but the most important are: • The IFIP World Computer Congress, held every second year; • Open conferences;

Luis M. Camarinha-matos; Slavisa Tomic; Paula Graça; A. Joe Turner

337

Stochastic Optimization Modeling  

E-Print Network [OSTI]

this approach, in contrast with the approach we use, does not take into account the likelihood of each parameter ...... Fundamentals of convex analysis. Springer

2014-07-04T23:59:59.000Z

338

Robust optimization of the rate of penetration of a drill-string using a stochastic nonlinear dynamical model  

Science Journals Connector (OSTI)

This work proposes a strategy for the robust optimization of the nonlinear dynamics of a drill-string, which is a structure that rotates and digs into the rock to search for oil. The nonparametric probabilistic a...

T. G. Ritto; Christian Soize; R. Sampaio

2010-04-01T23:59:59.000Z

339

Modeling and optimization of hybrid wind–solar-powered reverse osmosis water desalination system in Saudi Arabia  

Science Journals Connector (OSTI)

Abstract A hybrid wind/solar powered reverse osmosis desalination system has been modeled and simulated. The results of the simulation have been used to optimize the system for the minimum cost per cubic meter of the desalinated water. The performance of the hybrid wind/solar powered RO system has been analyzed under Dhahran, Saudi Arabia, weather data for a typical year. The performance has been evaluated under a constant RO load of 1 kW for 12 h/day and 24 h/day. The simulation results revealed that the optimum system that powers a 1-kW RO system for 12 h/day that yields a minimum levelized cost of energy comprises 2 wind turbines, 40 \\{PVs\\} modules and 6 batteries and the levelized cost of energy of such system is found to be 0.624 $/kW h. On the other hand, for a load of 1-kW for 24 h/day, the optimum system consists of 6 wind turbines, 66 \\{PVs\\} modules and 16 batteries with a minimum levelized cost of energy 0.672 $/kW h. Depending on the salinity of the raw water, the energy consumption for desalination ranges between 8 and 20 kW h/m3. This means that the cost of using the proposed optimum hybrid wind/solar system for water desalination will range between $3.693/m3 and $3. 812/m3 which is less than the range reported in the literature.

Esmail M.A. Mokheimer; Ahmet Z. Sahin; Abdullah Al-Sharafi; Ahmad I. Ali

2013-01-01T23:59:59.000Z

340

Development of the Symbolic Manipulator Laboratory modeling package for the kinematic design and optimization of the Future Armor Rearm System robot  

SciTech Connect (OSTI)

A new program package, Symbolic Manipulator Laboratory (SML), for the automatic generation of both kinematic and static manipulator models in symbolic form is presented. Critical design parameters may be identified and optimized using symbolic models as shown in the sample application presented for the Future Armor Rearm System (FARS) arm. The computer-aided development of the symbolic models yields equations with reduced numerical complexity. Important considerations have been placed on the closed form solutions simplification and on the user friendly operation. The main emphasis of this research is the development of a methodology which is implemented in a computer program capable of generating symbolic kinematic and static forces models of manipulators. The fact that the models are obtained trigonometrically reduced is among the most significant results of this work and the most difficult to implement. Mathematica, a commercial program that allows symbolic manipulation, is used to implement the program package. SML is written such that the user can change any of the subroutines or create new ones easily. To assist the user, an on-line help has been written to make of SML a user friendly package. Some sample applications are presented. The design and optimization of the 5-degrees-of-freedom (DOF) FARS manipulator using SML is discussed. Finally, the kinematic and static models of two different 7-DOF manipulators are calculated symbolically.

March-Leuba, S.; Jansen, J.F.; Kress, R.L.; Babcock, S.M. (Oak Ridge National Lab., TN (United States)); Dubey, R.V. (Tennessee Univ., Knoxville, TN (United States). Dept. of Mechanical and Aerospace Engineering)

1992-08-01T23:59:59.000Z

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.


341

Development of the Symbolic Manipulator Laboratory modeling package for the kinematic design and optimization of the Future Armor Rearm System robot. Ammunition Logistics Program  

SciTech Connect (OSTI)

A new program package, Symbolic Manipulator Laboratory (SML), for the automatic generation of both kinematic and static manipulator models in symbolic form is presented. Critical design parameters may be identified and optimized using symbolic models as shown in the sample application presented for the Future Armor Rearm System (FARS) arm. The computer-aided development of the symbolic models yields equations with reduced numerical complexity. Important considerations have been placed on the closed form solutions simplification and on the user friendly operation. The main emphasis of this research is the development of a methodology which is implemented in a computer program capable of generating symbolic kinematic and static forces models of manipulators. The fact that the models are obtained trigonometrically reduced is among the most significant results of this work and the most difficult to implement. Mathematica, a commercial program that allows symbolic manipulation, is used to implement the program package. SML is written such that the user can change any of the subroutines or create new ones easily. To assist the user, an on-line help has been written to make of SML a user friendly package. Some sample applications are presented. The design and optimization of the 5-degrees-of-freedom (DOF) FARS manipulator using SML is discussed. Finally, the kinematic and static models of two different 7-DOF manipulators are calculated symbolically.

March-Leuba, S.; Jansen, J.F.; Kress, R.L.; Babcock, S.M. [Oak Ridge National Lab., TN (United States); Dubey, R.V. [Tennessee Univ., Knoxville, TN (United States). Dept. of Mechanical and Aerospace Engineering

1992-08-01T23:59:59.000Z

342

Optimization 1-1 Convex Optimization & Duality  

E-Print Network [OSTI]

1 Optimization 1-1 Convex Optimization & Duality EEN634, Spring 2007 BASED ON LECTURES GIVEN AT MIT and Princeton Department of ECE, UMiami Optimization 1-2 #12;2 Optimization 1-3 Optimization 1-4 #12;3 Optimization 1-5 Optimization 1-6 #12;4 Optimization 1-7 Optimization 1-8 #12;5 Optimization 1-9 Optimization 1

Fan, Xingzhe

343

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 ).

Sonia Cafieri

2011-06-08T23:59:59.000Z

344

Optimization in Networks  

E-Print Network [OSTI]

The recent surge in the network modeling of complex systems has set the stage for a new era in the study of fundamental and applied aspects of optimization in collective behavior. This Focus Issue presents an extended view of the state of the art in this field and includes articles from a large variety of domains where optimization manifests itself, including physical, biological, social, and technological networked systems.

Adilson E. Motter; Zoltan Toroczkai

2007-07-07T23:59:59.000Z

345

Direct optimization overly optimizes data Kazunori Yoshizawa  

E-Print Network [OSTI]

OPINION Direct optimization overly optimizes data Kazunori Yoshizawa Systematic Entomology optimization is a criterion that recognizes sequence alignment and tree search as a single epistemological optimization criterion, all data partitions are combined and optimized simultaneously along with the same tree

Yoshizawa, Kazunori

346

Modeling and optimization of a test-cell upgrade for MFTF-B operating in the high neutron wall loading mode  

SciTech Connect (OSTI)

Models of the plasma particle and power balances in a tandem mirror with a high-field test-cell insert in the central cell have been used to calculate operating points for test-cell upgrades of the MFTF-B configuration. The code results have been benchmarked against the proposal plasma parameters for the MFTF-..cap alpha..+T configuration operating in the high neutron wall loading mode. Some parametric studies have been done. Using the results from these parametrics an optimized set of operating parameters for an MFTF-..cap alpha..+T-like configuration with a test-cell which will accommodate two 1.5 m long blanket test modules has been generated. This operating point has the same test-cell neutron wall loading as the original configuration and lower input powers to other systems in the device. The neutral beam power per unit blanket module length is also somewhat reduced in the optimized case.

Fenstermacher, M.E.

1985-04-03T23:59:59.000Z

347

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

E-Print Network [OSTI]

anomaly. This initial optimal perturbation corresponds to a zonal salinity gradient around 24°NOptimal Surface Salinity Perturbations of the Meridional Overturning and Heat Transport in a Global of surface salinity perturbations on the North Atlantic circulation over the past few decades. As a step

Huck, Thierry

348

A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics  

Science Journals Connector (OSTI)

The distribution of emergency goods to a population affected by a disaster is one of the most fundamental operations in Humanitarian Logistics. In the case of a particularly disruptive event, parts of the distribution infrastructure (e.g., bridges, roads) ... Keywords: Distribution planning, Humanitarian logistics, Multi-criteria optimization, Recovery

F. Liberatore; M. T. Ortuño; G. Tirado; B. Vitoriano; M. P. Scaparra

2014-02-01T23:59:59.000Z

349

OPTIMIZATION TOPICS LIST Revised April 2012  

E-Print Network [OSTI]

1 OPTIMIZATION TOPICS LIST Revised April 2012 For Fall 2012 and Spring 2013 we will adopt. Bertsimas and J. Tsitsiklis, Introduction to Linear Optimization, Athena Scientific, 1997 2. M. C. Ferris, O and mixed integer models · Existence of optimal solutions, optimality conditions · Branch and bound methods

Radeloff, Volker C.

350

Nuclear energy density optimization  

Science Journals Connector (OSTI)

We carry out state-of-the-art optimization of a nuclear energy density of Skyrme type in the framework of the Hartree-Fock-Bogoliubov theory. The particle-hole and particle-particle channels are optimized simultaneously, and the experimental data set includes both spherical and deformed nuclei. The new model-based, derivative-free optimization algorithm used in this work has been found to be significantly better than standard optimization methods in terms of reliability, speed, accuracy, and precision. The resulting parameter set unedf0 results in good agreement with experimental masses, radii, and deformations and seems to be free of finite-size instabilities. An estimate of the reliability of the obtained parameterization is given, based on standard statistical methods. We discuss new physics insights offered by the advanced covariance analysis.

M. Kortelainen; T. Lesinski; J. Moré; W. Nazarewicz; J. Sarich; N. Schunck; M. V. Stoitsov; S. Wild

2010-08-13T23:59:59.000Z

351

Engineering Optimization, Vol. X, No. X, Month 2007, xxxxxx A value-of-information based approach to simulation model  

E-Print Network [OSTI]

approach to simulation model refinement JITESH H. PANCHAL, CHRIS PAREDIS§, JANET K. ALLEN AND FARROKH expense for its development and execution. Since no simulation model is perfect, any simulation model. Hence, the question faced by a designer is ­ "How much refinement of a simulation model is appropriate

352

Fuel Efficiency and Emissions Optimization of Heavy-Duty Diesel...  

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

and Emissions Optimization of Heavy-Duty Diesel Engines using Model-Based Transient Calibration Fuel Efficiency and Emissions Optimization of Heavy-Duty Diesel Engines using...

353

Energy systems planning and GHG-emission control under uncertainty in the province of Liaoning, China – A dynamic inexact energy systems optimization model  

Science Journals Connector (OSTI)

Abstract In this study, a dynamic interval-parameter optimization model (DIP-REM) has been developed for supporting long-term energy systems planning in association with GHG mitigation in the region of Liaoning province. The model can describe Liaoning province energy planning systems as networks of a series of energy flows, transferring extracted/imported energy resources to end users through a variety of conversion and transmission technologies over a number of periods and address the problem of GHG-emission reduction within a general energy planning systems framework under uncertainty. Two scenarios (including a reference case) are considered corresponding to different GHG-emission mitigation levels for in-depth analysis of interactions existing among energy, socio-economy and environment in the Liaoning province. Useful solutions for Liaoning province energy planning systems have been generated, reflecting trade-offs among energy-related, environmental and economic considerations. The results can not only provide optimal energy resource/service allocation and capacity-expansion plans, but also help decision-makers identify desired policies for GHG mitigation with a cost-effective manner in the region of Liaoning province. Thus, it can be used by decision makers as an effective technique in examining and visualizing impacts of energy and environmental policies, regional development strategies and emission reduction measures within an integrated and dynamic framework.

J. Liu; Q.G. Lin; G.H. Huang; Q. Wu; H.P. Li

2013-01-01T23:59:59.000Z

354

An optimization model for regional micro-grid system management based on hybrid inexact stochastic-fuzzy chance-constrained programming  

Science Journals Connector (OSTI)

Abstract Micro-grid system management considering air pollutant control and carbon dioxide (CO2) mitigation is a challenging task, since many system parameters such as electric demand, resource availability, system cost as well as their interrelationships may appear uncertain. To reflect these uncertainties, effective inexact system-analysis methods are desired. In this study, a hybrid inexact stochastic-fuzzy chance-constrained programming (ITSFCCP) was developed for micro-grid system planning, and interval-parameter programming (IPP), two-stage stochastic programming (TSP) and fuzzy credibility constrained programming (FCCP) methods were integrated into a general framework to manage pollutants and CO2 emissions under uncertainties presented as interval values, fuzzy possibilistic and stochastic probabilities. Moreover, FCCP allowed satisfaction of system constraints at specified confidence level, leading to model solutions with the lowest system cost under acceptable risk magnitudes. The developed model was applied to a case of micro-grid system over a 24-h optimization horizon with a real time and dynamic air pollutant control, and total amount control for CO2 emission. Optimal generation dispatch strategies were derived under different assumptions for risk preferences and emission reduction goals. The obtained results indicated that stable intervals for the objective function and decision variables could be generated, which were useful for helping decision makers identify the desired electric power generation patterns, and CO2 emission reduction under complex uncertainties, and gain in-depth insights into the trade-offs between system economy and reliability.

L. Ji; D.X. Niu; M. Xu; G.H. Huang

2015-01-01T23:59:59.000Z

355

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

356

Stochastic optimization of ferroelectric ceramics for piezoelectric applications  

Science Journals Connector (OSTI)

An optimization model and numerical framework is developed to identify the optimal microstructure of ferroelectric (FE) materials. Piezoelectricity in polycrystalline ceramic FEs differs significantly from that of single crystals because of the presence ... Keywords: Ceramics, Ferroelectrics, Homogenization, Piezoelectricity, Stochastic optimization

K. P. Jayachandran; Jose M. Guedes; Helder C. Rodrigues

2011-08-01T23:59:59.000Z

357

Compressed natural gas behavior in a natural gas vehicle fuel tank during fast filling process: Mathematical modeling, thermodynamic analysis, and optimization  

Science Journals Connector (OSTI)

Abstract Every CNG station includes two main parts: a compressor equipped with inter- and after-coolers and a fast filling process (FFP). In this study, both processes were simulated in a FORTRAN based computer program. To model the compression process of real natural gas, the polytropic work of a three-stage compressor was considered. Moreover, the FFP was modeled based on mass conservation and first law of thermodynamics for a non-adiabatic cylinder. Due to high operating pressure, AGA-8 equation of state (EOS) was utilized for accurate computation of necessary thermodynamic properties. Both applied models for compression and FFP were compared with the real data. In particular, the FFP model was evaluated using experimental data obtained from an operating compressed natural gas (CNG) station in Sanandaj, Iran. The comparison showed a good agreement between model and experimental data. In the last part of this paper, the best operating condition for attaining either the minimum energy consumption in compressors and coolers or the maximum final accumulated mass of gas within NGV cylinders was determined using particle swarm optimization (PSO) algorithm.

Mehrdad Khamforoush; Rahil Moosavi; Tahmasb Hatami

2014-01-01T23:59:59.000Z

358

Linear and Convex Optimization  

E-Print Network [OSTI]

, Assignments, Optional Projects: https://t-square.gatech.edu/portal/site/gtc-6089-dba2-5a47-b722-565937d0333d for submis- sions 04/01/2014 Software environment: MATLAB and CVX CVX is an excellent user-friendly optimization solver working under MATLAB, free download at http://cvxr.com/cvx/ E. Optional bonus modeling

Nemirovski, Arkadi

359

Carver Performance and Optimization  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Optimization Performance and Optimization Performance Monitoring Last edited: 2012-01-09 12:31:03...

360

SEAMOPT - Stirling engine optimization code  

SciTech Connect (OSTI)

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

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

Novel attributes in modeling and optimizing of the new graphene based In{sub x}Ga{sub 1?x}N Schottky barrier solar cells  

SciTech Connect (OSTI)

Based on the ability of In{sub x}Ga{sub 1?x}N materials to optimally span the solar spectrum and their superior radiation resistance, solar cells based on p-type In{sub x}Ga{sub 1?x}N with low indium contents and interfacing with graphene film (G/In{sub x}Ga{sub 1?x}N), is proposed to exploit the benefit of transparency and work function tunability of graphene. Then, their solar power conversion efficiency modeled and optimized using a new analytical approach taking into account all recombination processes and accurate carrier mobility. Furthermore, their performance was compared with graphene on silicon counterparts and G/p-In{sub x}Ga{sub 1?x}N showed relatively smaller short-circuits current (?7?mA/cm{sup 2}) and significantly higher open-circuit voltage (?4?V) and efficiency (?30%). The thickness, doping concentration, and indium contents of p-In{sub x}Ga{sub 1?x}N and graphene work function were found to substantially affect the performance of G/p-In{sub x}Ga{sub 1?x}N.

Arefinia, Zahra [Research Institute for Applied Physics and Astronomy, University of Tabriz, Tabriz 51666-14766 (Iran, Islamic Republic of); Asgari, Asghar, E-mail: asgari@tabrizu.ac.ir [Research Institute for Applied Physics and Astronomy, University of Tabriz, Tabriz 51666-14766 (Iran, Islamic Republic of); School of Electrical, Electronic, and Computer Engineering, University of Western Australia, Crawley, WA 6009 (Australia)

2014-05-21T23:59:59.000Z

362

Optimizing Profits from Hydroelectricity Production  

E-Print Network [OSTI]

Optimizing Profits from Hydroelectricity Production Daniel De Ladurantaye Michel Gendreau Jean the profits obtained by the stochastic model. Keywords: Hydroelectricity, electricity market, prices, dams countries deregulate their electricity market, new challenges appear for hydroelectricity producers

Potvin, Jean-Yves

363

Optimal Decisions: Theory and Practice  

Science Journals Connector (OSTI)

Rules for optimal decisions using some form of quantitative models have been developed and applied in several disciplines including economics, management science, cybernetic and social systems. Two types of mo...

Prof. Jati K. Sengupta

1981-01-01T23:59:59.000Z

364

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

E-Print Network [OSTI]

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

Kanta, Lufthansa Rahman

2011-02-22T23:59:59.000Z

365

Stochastic Modeling for Uncertainty Analysis and Multiobjective Optimization of IGCC System with Single-Stage Coal Gasification  

Science Journals Connector (OSTI)

The work initially focuses on developing a computational fluid dynamics (CFD) model for the single-stage coal gasifier, which is a part of the IGCC system. ... Medium pressure (MP) steam is produced from the heat liberated from this reaction. ...

Yogendra Shastri; Urmila Diwekar

2010-11-22T23:59:59.000Z

366

Hydrogen production by steam-gasification of carbonaceous materials using concentrated solar energy – V. Reactor modeling, optimization, and scale-up  

Science Journals Connector (OSTI)

A chemical reactor for the steam-gasification of carbonaceous particles (e.g. coal, coke) is considered for using concentrated solar radiation as the energy source of high-temperature process heat. A two-phase reactor model that couples radiative, convective, and conductive heat transfer to the chemical kinetics is applied to optimize the reactor geometrical configuration and operational parameters (feedstock's initial particle size, feeding rates, and solar power input) for maximum reaction extent and solar-to-chemical energy conversion efficiency of a 5 kW prototype reactor and its scale-up to 300 kW. For the 300 kW reactor, complete reaction extent is predicted for an initial feedstock particle size up to 35 ?m at residence times of less than 10 s and peak temperatures of 1818 K, yielding high-quality syngas with a calorific content that has been solar-upgraded by 19% over that of the petcoke gasified.

A. Z'Graggen; A. Steinfeld

2008-01-01T23:59:59.000Z

367

Low Rank Coal Optimization  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

368

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

369

Matlab-based Optimization: Optimization Toolbox  

E-Print Network [OSTI]

Matlab-based Optimization: the Optimization Toolbox Gene Cliff (AOE/ICAM - ecliff@vt.edu ) 3:00pm Engineering ICAM: Interdisciplinary Center for Applied Mathematics 1 / 37 #12;Matlab's Optimization Toolbox;Matlab's Optimization Toolbox Classifying Optimization Problems A Soup Can Example Intermezzo

Crawford, T. Daniel

370

Fuzzy Optimality and Evolutionary Multiobjective Optimization  

E-Print Network [OSTI]

Fuzzy Optimality and Evolutionary Multiobjective Optimization M. Farina and P. Amato. Pareto optimality is someway ineffective for optimization problems with several (more than three) objectives. In fact the Pareto optimal set tends to become a wide portion of the whole design domain search

Coello, Carlos A. Coello

371

ONLINE OPTIMIZATION AND SELECTION OF MEASUREMENTS  

E-Print Network [OSTI]

117 Chapter 7 ON­LINE OPTIMIZATION AND SELECTION OF MEASUREMENTS This is the last of three chapters that discuss optimal operation of a general heat exchanger network. A method that combines the use of steady state optimization and decentralized feedback control is proposed. A general steady state model

Skogestad, Sigurd

372

CASCADE OPTIMIZATION AND CONTROL OF BATCH REACTORS  

E-Print Network [OSTI]

CASCADE OPTIMIZATION AND CONTROL OF BATCH REACTORS Xiangming Hua, Sohrab Rohani and Arthur Jutan ajutan@uwo.ca Abstract: In this study, a cascade closed-loop optimization and control strategy for batch reactor. Using model reduction a cascade system is developed, which can effectively combine optimization

Jutan, Arthur

373

On optimizing Jacobi–Davidson method for calculating eigenvalues in low dimensional structures using eight band k · p model  

SciTech Connect (OSTI)

The paper presents two ways of improving the Jacobi–Davidson method for calculating the eigenvalues and eigenvectors described by eight-band k · p model for quantum dots and other low dimensional structures. First, the method is extended by the application of time reversal symmetry operator. This extension allows efficient calculations of the twofold degeneracy present in the multiband k · p model and other interior eigenvalues. Second, the preconditioner for the indefinite matrix which comes from the discretization of the eight band k · p Hamiltonian is presented. The construction of this preconditioner is based on physical considerations about energy band structure in the k · p model. On the basis of two real examples, it is shown that the preconditioner can significantly shorten the time needed to calculate the interior eigenvalues, despite the fact that the memory usage of the preconditioner and Hamiltionian is comparable. Finally, some technical details for implementing the eight band k · p Hamiltonian and the eigensolver are provided.

Andrzejewski, Janusz, E-mail: Janusz.Andrzejewski@pwr.wroc.pl

2013-09-15T23:59:59.000Z

374

Local adaptation to biocontrol agents: A multi-objective data-driven optimization model for the evolution of resistance  

E-Print Network [OSTI]

& Environmental Engineering, 219 Votey Building, Burlington, VT 05405, USA 1. Introduction Biocontrol agents that might co-evolve under different patterns of environmental variation. We develop a model using data on the sensitivity of Japanese beetles, Popilla japonica to the entomopathogenic fungus Metarhizium anisopliae

Vermont, University of

375

Congrs Franais de Mcanique Bordeaux, 26 au 30 aot 2013 Characterization of an optimized model manufactured by  

E-Print Network [OSTI]

technologies emerged. The manufacturing by layers keeps a common characteristic and the additive manufacturing approach applied to additive manufacturing and a specific machine. We suggest to use the numerical model manufactured by rapid prototyping A. SCHNEIDER a , J. GARDAN b , N. GARDAN c a. URCA/IFTS ­ NUM3D

Paris-Sud XI, Université de

376

OPTIMIZING GEO-CELLULAR RESERVOIR MODELING IN A BRAIDED RIVER INCISED VALLEY FILL: POSTLE FIELD, TEXAS COUNTY, OKLAHOMA  

E-Print Network [OSTI]

and simulation are a necessary part of any enhanced oil recovery program. Today there have been many advances fill sandstones. EOR practices, in the form water flood and CO2 miscible flooding in the field have led to the need for reservoir modeling and simulation in order to increase recovery. Incised valley fills

377

Optimizing thermal transport in the Falicov-Kimball model: The binary-alloy picture J. K. Freericks,1  

E-Print Network [OSTI]

material for applications in the space industry or a combustion source. Thermoelectric coolers usually thermoelectric devices have ZT near 1 because few bulk materials have been discovered with much larger values of the Falicov-Kimball model concentrating on locating regions of parameter space where the thermoelectric figure

Freericks, Jim

378

Optimization of a simplified sub-model for NO emission prediction by CFD in large 4-stroke marine diesel engines  

Science Journals Connector (OSTI)

A simplified sub-model for NO emission prediction at pressurized conditions has been put forth at Åbo Akademi University [7,9] including NO formation via the thermal NO path (3 reactions) and via the nitrous oxide intermediate paths (2 + 5 reactions). CFD simulations carried out with the sub-model for marine and off-road diesel engines showed, however, that it significantly – by an order of magnitude – over-predicted NO emission as compared to measurements. The objective of this work was to find the reasons to the discrepancy and to suggest and incorporate improvements. By detailed investigations, a number of programming technical errors and chemical kinetic shortcomings were identified. The improved sub-model and its sub-parts were then tested for CFD simulation of a medium-speed, four-stroke, direct-injection marine diesel engine for different loads and fuels. The importance of NO reduction by soot and hydrocarbons was also investigated. All the sub-models correctly predicted the trend of increasing NO emission with increasing load. In absolute amounts, NO emission was over-predicted by a factor of 2 to 4, if no fitting of rate constants was allowed. Including NO reduction by soot and hydrocarbons, decreased NO emission by ca 4–25% for the cases studied.

Pia Kilpinen

2010-01-01T23:59:59.000Z

379

A model-based optimization framework for the inference on gene regulatory networks from DNA array data  

Science Journals Connector (OSTI)

......perturbation study) to be satisfied exactly. However, in light of the several assumptions that we made including the model...2271-2282. Ideker,T., Thorsson,V., Ranish,J.A., Christmas,R., Buhler,J., Eng,J.K., Bumgarner,R., Goodlett......

Reuben Thomas; Sanjay Mehrotra; Eleftherios T. Papoutsakis; Vassily Hatzimanikatis

2004-11-01T23:59:59.000Z

380

OPTIMIZING YOUR  

E-Print Network [OSTI]

Electric motor-driven systems are estimated to consume over half of all electricity in the United States and over 70 % of all electricity in many industrial plants. This fact sheet presents an overview of electric drive systems and highlights common ways you can improve system efficiency and reliability. By optimizing the efficiency of your motor-driven systems, you can increase productivity while saving significant amounts of energy and money.

unknown authors

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

Optimization Online - Global Optimization Submissions - 2014  

E-Print Network [OSTI]

Zhao Sun. February 2014. Global optimization on the torus, the sphere and the rotation ... RBFOpt: an open-source library for black-box optimization with costly ...

382

Advanced Review Geometry optimization  

E-Print Network [OSTI]

Advanced Review Geometry optimization H. Bernhard Schlegel Geometry optimization is an important part of most quantum chemical calcu- lations. This article surveys methods for optimizing equilibrium geometries, lo- cating transition structures, and following reaction paths. The emphasis is on optimizations

Schlegel, H. Bernhard

383

Optimization Jason Courter  

E-Print Network [OSTI]

Optimization Jason Courter Foundations of Ecology #12;What is optimization? Maximization Minimization Optimization Natural Selection 1. Variation 2. Heritable Variation 3. Differential Reproduction #12;On Optimal use of a Patchy Environment · Robert MacArthur · Eric Pianka http

Jodice, Patrick

384

High level modeling and automated generation of heterogeneous SoC architectures with optimized custom reconfigurable cores and on-chip communication media  

Science Journals Connector (OSTI)

In this paper we propose a framework for modeling and automated generation of heterogeneous SoC architectures with emphasis on reconfigurable component integration and optimized communication media. In order to facilitate rapid development of SoC architectures, communication-centric platforms for data intensive applications, high level modeling of reconfigurable components for quick simulation and a tool for generation of complete SoC architectures is presented. Four different communication-centric platforms based on traditional bus, crossbar, hierarchical bus and novel hybrid communication media are proposed. These communication-centric platforms are proposed to cater for the different communication requirement of future SoC architectures. Multi-Standard telecommunication application is chosen as our target application domain and a case study of WiMAX is used as a real world example to demonstrate the effectiveness of our approach. A system consisting of an ARM processor, reconfigurable FFT and reconfigurable Viterbi decoder is considered with the option of system scalability for future upgrades. Behavior of system with different communication platforms is analyzed for its throughput and power characteristics with different reconfigurable scenarios to show the effectiveness of our approach.

Balal Ahmad; Ali Ahmadinia; Tughrul Arslan

2010-01-01T23:59:59.000Z

385

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

SciTech Connect (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

386

Synchrony-optimized power grids  

E-Print Network [OSTI]

We investigate synchronization in power grids, which we assume to be modeled by a network of Kuramoto oscillators with inertia. More specifically, we study the optimization of the power grid topology to favor the network synchronization. We introduce a rewiring algorithm which consists basically in a hill climb scheme where the edges of the network are swapped in order enhance the main measures of synchronization. As a byproduct of the optimization algorithm, we typically have also the anticipation of the synchronization onset for the optimized network. We perform several robustness tests for the synchrony-optimized power grids, including the impact of consumption peaks. In our analyses, we investigate synthetic random networks, which we consider as hypothetical decentralized power generation situations, and also a network based in the actual power grid of Spain, which corresponds to the current paradigm of centralized power grids. The synchrony-optimized power grids obtained by our algorithm have some intere...

Pinto, Rafael S

2014-01-01T23:59:59.000Z

387

Optimization Online - Digest Archive  

E-Print Network [OSTI]

Optimization Online Digest Archive. Subscribe to the digest. ... Online is supported by the Mathematical Optmization Society. Mathematical Optimization Society.

388

Optimization Online - Category Archive  

E-Print Network [OSTI]

Optimization Online. Browse Submissions By Area. Linear, Cone and Semidefinite ... Optimization Online is supported by the Mathematical Optmization Society.

389

Optimization Online - Coordinators  

E-Print Network [OSTI]

Optimization Online submissions are electronically handled by a team of ... OR and Management Sciences / Integer Programming / Robust Optimization ...

390

Optimization Online - Category Archive  

E-Print Network [OSTI]

Optimization Online. Browse Submissions By Area. Nonlinear Optimization. 2000 · 2001 · 2002 · 2003 · 2004 · 2005 · 2006 · 2007 · 2008 · 2009 · 2010 · 2011 ...

391

Optimization of neutron source  

SciTech Connect (OSTI)

I consider here the optimization of the two component neutron source, allowing beam species and energy to vary. A simple model is developed, based on the earlier publications, that permits the optimum to be obtained simply. The two component plasma, with one species of hot ion (D{sup +} or T{sup +}) and the complementary species of cold ion, is easy to analyze in the case of a spatially uniform cold plasma, as to good approximation the total number of hot ions is important but not their spatial distribution. Consequently, the optimization can ignore spatial effects. The problem of a plasma with both types of hot ions and cold ions is rather more difficult, as the neutron production by hot-hot interactions is sensitive to their spatial distributions. Consequently, consideration of this problem will be delayed to a future memorandum. The basic model is that used in the published articles on the two-component, beam-plasma mirror source. I integrate the Fokker-Planck equation analytically, obtaining good agreement with previous numerical results. This simplifies the optimization, by providing a functional form for the neutron production. The primary result is expressed in terms of the power efficiency: watts of neutrons/watts of primary power. The latter includes the positive ion neutralization efficiency. At 150 keV, the present model obtains an efficiency of 0.66%, compared with 0.53% of the earlier calculation.

Hooper, E.B.

1993-11-09T23:59:59.000Z

392

Optimization Online - GPCG: A case study in the performance and ...  

E-Print Network [OSTI]

Nov 17, 2000 ... Keywords: large-scale optimization, high-performance architectures, ... Software and Modeling Systems (Problem Solving Environments ).

Steve Benson

2000-11-17T23:59:59.000Z

393

Derivative Free Optimization Methods for Optimizing Stirrer ...  

E-Print Network [OSTI]

It also gives a comparison of the two optimization algorithms. Key words: Energy, Numerical Optimization, Derivative-Free Optimization,. Computational Fluid ... numerical simulations are needed for the computation of the fluid flow inside the stirrer for ..... Optimization Methods and Software, 20 (2005) 493-508. [6] A. R. Conn ...

2007-02-01T23:59:59.000Z

394

Optimization Online - Nonlinear Optimization Submissions - 2014  

E-Print Network [OSTI]

Unconstrained Optimization Generalized Inexact Proximal Algorithms: Habit's/ Routine's Formation with Resistance to Change, following Worthwhile Changes

395

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

SciTech Connect (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

396

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

397

Sootblowing optimization for improved boiler performance  

DOE Patents [OSTI]

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

398

Optimization on Solar Panels: Finding the Optimal Output Brian Y. Lu  

E-Print Network [OSTI]

Optimization on Solar Panels: Finding the Optimal Output Brian Y. Lu January 1, 2013 1 Introduction of solar panel: Routing the configuration between solar cells with a switch matrix. However, their result models and control policies for the optimal output of solar panels. The smallest unit on a solar panel

Lavaei, Javad

399

Design of nonlinear MPC by Kriging-based optimization  

E-Print Network [OSTI]

Design of nonlinear MPC by Kriging-based optimization Julien Marzat, Hélène Piet-Lahanier ONERA of Kriging as a surrogate model for optimization. This representation is able to address various optimization is reported to illustrate the resulting performance. Keywords: efficient global optimization, Gaussian process

Paris-Sud XI, Université de

400

The simulation tool for mission-optimized system design  

Science Journals Connector (OSTI)

A method for optimizing system design, considering control strategies, is developed. The method is numerically analyzed for the design of a simple buck converter but then is more generally applicable for mission-optimized design of large and complex ... Keywords: 3D multibody modeling, co-optimization process, gaming environment, mission-optimization

Tianlei Zhang; Jeremiah Shepherd; Jijun Tang; Roger A. Dougal

2011-06-01T23:59:59.000Z

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.


401

Performance evaluation of artificial neural network coupled with generic algorithm and response surface methodology in modeling and optimization of biodiesel production process parameters from shea tree (Vitellaria paradoxa) nut butter  

Science Journals Connector (OSTI)

Abstract This work investigated the potential of shea butter oil (SBO) as feedstock for synthesis of biodiesel. Due to high free fatty acid (FFA) of SBO used, response surface methodology (RSM) was employed to model and optimize the pretreatment step while its conversion to biodiesel was modeled and optimized using RSM and artificial neural network (ANN). The acid value of the SBO was reduced to 1.19 mg KOH/g with oil/methanol molar ratio of 3.3, H2SO4 of 0.15 v/v, time of 60 min and temperature of 45 °C. Optimum values predicted for the transesterification reaction by RSM were temperature of 90 °C, KOH of 0.6 w/v, oil/methanol molar ratio of 3.5, and time of 30 min with actual shea butter oil biodiesel (SBOB) yield of 99.65% (w/w). ANN combined with generic algorithm gave the optimal condition as temperature of 82 °C, KOH of 0.40 w/v, oil/methanol molar ratio of 2.62 and time of 30 min with actual SBOB yield of 99.94% (w/w). Coefficient of determination (R2) and absolute average deviation (AAD) of the models were 0.9923, 0.83% (RSM) and 0.9991, 0.15% (ANN), which demonstrated that ANN model was more efficient than RSM model. Properties of SBOB produced were within biodiesel standard specifications.

Eriola Betiku; Samuel S. Okunsolawo; Sheriff O. Ajala; Olatunde S. Odedele

2015-01-01T23:59:59.000Z

402

Industrial Optimization Compact Course  

E-Print Network [OSTI]

Industrial Optimization Compact Course and Challenge Workshop Optimization plays a crucial role of the processes are typically nonlinear and dyna- mic. Thus, complex dynamic optimization or optimal control in industrial optimization. February 17­20, 2014 ·9.00­17.00 IWR ·Im Neuenheimer Feld 368 ·69120 Heidelberg www

Kirches, Christian

403

The optimization problem Genetic Algorithm  

E-Print Network [OSTI]

The optimization problem Genetic Algorithm Particle Swarm Optimization Experimental results for time-power optimization META, October 27-31, 2014 1 / 25 #12;The optimization problem Genetic Algorithm Particle Swarm Optimization Experimental results Conclusions Time and energy optimization Traditionally

Giménez, Domingo

404

Shrinking Procedures and Optimal Algorithms  

E-Print Network [OSTI]

Jun 18, 2012 ... Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal ...

Saeed Ghadimi

2012-06-18T23:59:59.000Z

405

Optimization Online - Multistage Adaptive Robust Optimization for ...  

E-Print Network [OSTI]

Sep 5, 2014 ... ... with the increasing penetration of wind and solar power generation has ... Keywords: Electric energy systems, multistage robust optimization, ... Multistage Adaptive Robust Optimization for the Unit Commitment Problem.

Alvaro Lorca

2014-09-05T23:59:59.000Z

406

COMBINATORIAL OPTIMIZATION IN TELECOMMUNICATIONS  

E-Print Network [OSTI]

COMBINATORIAL OPTIMIZATION IN TELECOMMUNICATIONS MAURICIO G. C. RESENDE Abstract. Combinatorial to optimally design a SONET ring network. The last problem comes up when planning a global telecommunications network. 1. Introduction Combinatorial optimization problems are abundant in the telecommunications

Resende, Mauricio G. C.

407

Essays on optimal taxation  

E-Print Network [OSTI]

This thesis studies the optimal income tax scheme in four different settings. Chapter 1 focuses on the implications of lack of commitment for the optimal labor and capital income tax rates. It finds that it is optimal to ...

Reis, Catarina (Catarina Luis Monteiro dos)

2007-01-01T23:59:59.000Z

408

Compiler Optimization Jordan Bradshaw  

E-Print Network [OSTI]

Compiler Optimization Jordan Bradshaw #12;Outline Overview Goals and Considerations ­ Scope. 346- 352. Print. "Compiler Optimization." Wikipedia. Wikimedia Foundation, 25 04 2010. Web. 25 Apr 2010. #12;Compiler Optimization Goals: ­ Speed

Valtorta, Marco

409

Pessimistic Bilevel Optimization  

E-Print Network [OSTI]

We study a variant of the pessimistic bilevel optimization problem, which comprises constraints that must be satisfied for any optimal solution of a subordinate (lower-level) optimization problem. We present conditions ...

Wiesemann, Wolfram

410

Optimization Online - Certificates of Optimality and Sensitivity ...  

E-Print Network [OSTI]

Dec 9, 2014 ... Certificates of Optimality and Sensitivity Analysis using Generalized Subadditive Generator Functions: A test study on Knapsack Problems.

Babak Moazzez

2014-12-09T23:59:59.000Z

411

Optimization Online - Semidefinite Optimization Approaches to ...  

E-Print Network [OSTI]

Sep 16, 2014 ... Semidefinite Optimization Approaches to Applications in Facility ... Category 2: Applications -- OR and Management Sciences (Transportation ).

Philipp Hungerlaender

2014-09-16T23:59:59.000Z

412

Optimization modelling of the impacts of a Severn Barrage for a two-way generation scheme using a Continental Shelf model  

Science Journals Connector (OSTI)

Abstract The Severn Estuary has the world's second largest tide range and a barrage across the estuary, located just seawards of Cardiff in Wales and Weston in the South West England, has been proposed for over half a century, with the objective of extracting large amounts of tidal energy. A Severn Barrage, as previously proposed by the Severn Tidal Power Group (STPG), would be the largest renewable energy project for tidal power generation in the world, if built as proposed, and would generate approximately 5% of the UK's electricity needs. However, concerns have been raised over the environmental impacts of such a barrage, including potential increase in flood risk, loss of intertidal habitats etc. In addressing the challenges of maximizing the energy output and minimizing the environmental impacts of such a barrage, this research study has focused on using a Continental Shelf model, based on the modified Environmental Fluid Dynamics Code (EFDC) with a barrage operation module (EFDC_B), to investigate both the far and near field hydrodynamic impacts of a barrage for different operating scenarios. Three scenarios have been considered to simulate the Severn Barrage, operating via two-way generation and using different combinations of turbines and sluices. The first scenario consisted of 216 turbines and 166 sluices installed along the barrage; the second consisted of 382 turbines with no sluices; and the third consisted of 764 turbines and no sluices. The specification of the sluice gates and turbines are the same for all scenarios. The model results indicate that the third scenario has the best mitigating effects for the far-field and near-field flood risks caused by a barrage and produces the most similar results of minimum water depth and maximum velocity distributions to those obtained from simulating the natural conditions of the estuary, i.e. the current conditions. The results also show that the flow patterns around the barrage are closest to those for the existing natural conditions with minimal slight changes in the estuary. Thus, the results clearly indicate that the environmental impacts of a Severn Barrage can be minimized if the barrage is operated for two-way generation and under the third scenario. Although it appears that the energy output for the third scenario is less than that obtained for the other two scenarios, if very low head (VLH) turbines are used, then the third scenario could generate more energy as more turbines could be cited along the barrage structure. Therefore, the study shows that a Severn Barrage, operating in two-way generation and with 764 turbines (ideally VLH turbines), would be the best option to meet the needs of maximizing the energy output, but having a minimal impact on environmental changes in the estuary and far-field.

Juntao Zhou; Shunqi Pan; Roger A. Falconer

2014-01-01T23:59:59.000Z

413

Optimization Online - Digest  

E-Print Network [OSTI]

Complete the form below to subscribe to the free Optimization Online Digest. ... Type your e-mail address to unsubscribe from the Optimization Online Digest.

414

PDSF Performance and Optimization  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Optimization Performance and Optimization Running Jobs Efficiently This page defines job efficiency and how to measure the efficiency of your jobs. Read More PDSF IO Monitoring...

415

Optimal Sequencing of Central Refrigeration Equipment in an Industrial Plant  

E-Print Network [OSTI]

A model was developed to find a viable solution to the problem of selecting the optimal sequence of refrigeration equipment (chillers, cooling towers, pumps) to operate in a Central Utility Plant. The optimal equipment sequence is that sequence...

Fiorino, D. P.; Priest, J. W.

1986-01-01T23:59:59.000Z

416

Optimal Operation for Cogenerating System of Micro-grid Network  

Science Journals Connector (OSTI)

This paper presents a mathematical model for optimal operating cogeneration of Micro-Grid Network. The electrical and thermal energy production ... solution of Optimal operation for cogenerating system of micro-grid

Phil-Hun Cho; Hak-Man Kim; Myong-Chul Shin…

2005-01-01T23:59:59.000Z

417

Towards Design Optimization with OpenModelica Emphasizing Parameter Optimization with Genetic Algorithms  

E-Print Network [OSTI]

, Modelica, modeling, simulation 1. Introduction Model-based product development is an approach where.kocherry@evonik-es.in (John John Kocherry) with a external simulator) or develop their own en- vironment. The disadvantagesTowards Design Optimization with OpenModelica Emphasizing Parameter Optimization with Genetic

Zhao, Yuxiao

418

Optimization Gordon K. Smyth  

E-Print Network [OSTI]

Optimization Gordon K. Smyth Volume 3, pp 1481­1487 in Encyclopedia of Environmetrics (ISBN 0471 #12;Optimization Optimization is the process by which one finds that value of a vector x, say, that maximizes or minimizes a given function f x . The idea of optimization goes to the heart of statistical

Smyth, Gordon K.

419

Finding Optimal Probabilistic Generators for XML Collections  

E-Print Network [OSTI]

Finding Optimal Probabilistic Generators for XML Collections Serge Abiteboul INRIA Saclay ENS (generative) probabilistic model, where optimality here means maximizing the like- lihood of the particular corpus to be generated. Focusing first on the structure of documents, we present an efficient algorithm

Paris-Sud XI, Université de

420

Flow optimization in diving helmets  

SciTech Connect (OSTI)

Improved carbon dioxide transport from the annular space between the head and helmet is necessary to reduce fresh gas flow and associated noise. This paper gives an overview of new techniques for investigating this transport, and for optimizing helmet flow to remove CO{sub 2}. An analytical model predicts inhaled carbon dioxide fraction in terms of helmet and respiration characteristics. Fundamental behavior over a wide range of helmet parameters is computed. An experimental model uses Reynolds scaling with water and dye to simulate fresh gas and carbon dioxide respectively. The water/dye model supports measurement of inhaled dye concentration, and flow visualization. Detailed behavior is investigated for one helmet with air/CO{sub 2} and water/dye experiments. Results support validity of the analytic and water models, provide new insight to CO{sub 2} transport mechanisms, and suggest directions for optimizing helmet design.

Camperman, J.M. [Naval Surface Warfare Center, Panama City, FL (United States). Coastal Systems Station; Tennant, J.S. [Florida Atlantic Univ., Boca Raton, FL (United States). Ocean Engineering Dept.

1996-09-01T23:59:59.000Z

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.


421

Optimal digital compensation networks for acoustic transducers  

Science Journals Connector (OSTI)

A digital compensation network is designed which (1) minimizes deviation from the user?determined optimal transducer response (2) limits the sensitivity to physical perturbations of that response and (3) ensures actuator authority limitations for known and unknown?but?bounded input sequences.H ? H 2 l ? and l 1 transfer function norms translate the design goals and specifications into a convex constrained optimization problem which is solved using semidefinite programming. The methodology can be simply extended to treat transducer arrays and optimal beamforming. A mathematically modeled underwater acoustictransducer provides a numerical example for exploring the optimal trade?off between competing specifications. [This work is partialy supported by SRI International.

Paul J. Titterton Jr.

1997-01-01T23:59:59.000Z

422

Optimization Online - Gradient Sliding for Composite Optimization  

E-Print Network [OSTI]

Abstract: We consider in this paper a class of composite optimization problems whose objective function is given by the summation of a general smooth and ...

Guanghui Lan

423

Optimization Online - Solving Basis Pursuit: Heuristic Optimality ...  

E-Print Network [OSTI]

Jul 15, 2011 ... We propose a heuristic optimality check as a general tool for l^1-minimization, which often allows for early termination by “guessing” a ...

Dirk A. Lorenz

2011-07-15T23:59:59.000Z

424

Optimization Online - Robust Growth-Optimal Portfolios  

E-Print Network [OSTI]

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

Napat Rujeerapaiboon

2014-05-24T23:59:59.000Z

425

GLOBAL OPTIMIZATION BY CONTINUOUS GRASP Optimization ...  

E-Print Network [OSTI]

Mar 8, 2006 ... Journal of Computational Physics, 99(1):28–. 32, 1992. ... Handbook of Test Problems in Local and ... Handbook of Applied Optimization.

2006-03-08T23:59:59.000Z

426

Optimization Online - Distributionally Robust Convex Optimization  

E-Print Network [OSTI]

Feb 4, 2013 ... Abstract: Distributionally robust optimization is a paradigm for decision-making under uncertainty where the uncertain problem data is governed ...

Wolfram Wiesemann

2013-02-04T23:59:59.000Z

427

Optimization Online - Convex and Nonsmooth Optimization ...  

E-Print Network [OSTI]

D. Drusvyatskiy, A.D. Ioffe, A.S. Lewis. February 2014. Nonsmooth Optimization Variational Analysis of Circular Cone Programs Jinchuan Zhou, Jein-Shan Chen

428

Optimization Online - Topology optimization of a mechanical ...  

E-Print Network [OSTI]

Aug 26, 2005 ... Topology optimization of a mechanical component subject to dynamical constraints. Sonia Calvel (sonia.calvel ***at*** voila.fr)

Sonia Calvel

2005-08-26T23:59:59.000Z

429

International Conference of Modeling and Simulation -MOSIM'10 -May 10-12, 2010 -Hammamet -Tunisia "Evaluation and optimization of innovative production systems of goods and services"  

E-Print Network [OSTI]

- Tunisia "Evaluation and optimization of innovative production systems of goods and services" STOCHASTIC.maza@ensem.inpl-nancy.fr ABSTRACT: The productivity and quality requirements have conducted the manufacturing systems to be more systems is of a major importance, since they impact directly on system's productivity and safety. The aim

Paris-Sud XI, Université de

430

Hydrofoil shape optimization by gradient methods  

E-Print Network [OSTI]

A study was carried out to develop and test techniques for the computational optimization of hydrofoil sections and lifting surfaces advancing under a free surface. A mathematical model was developed based on the extension ...

Tozzi, Gregory Michael

2004-01-01T23:59:59.000Z

431

Signal Timing Optimization to Improve Air Quality  

E-Print Network [OSTI]

the gap that the research on signal optimization at intersections lags behind the development of emissions models. The methodology development includes four levels: the vehicle level, the movement level, the intersection level, and the arterial level...

Lv, Jinpeng 1983-

2012-12-11T23:59:59.000Z

432

On the calculated optimization of a gasifier  

Science Journals Connector (OSTI)

The development of an integral model of the processes in a gasification reactor is discussed for analyzing and optimizing technical devices with allowance for the finite rate of a key heterogeneous reaction in th...

P. P. Ivanov; V. I. Kovbasyuk; Yu. V. Medvedev

2012-11-01T23:59:59.000Z

433

Optimization of scrapping decisions: Theory and applications  

Science Journals Connector (OSTI)

Contrary to the variety of models and procedures for optimizing the ordering decision in inventory control theory, no comparable tools exist for the scrapping decision. Thus, the current paper constitutes a ... g...

Dr. H. U. Buhl

1988-01-01T23:59:59.000Z

434

Kernel Optimizations in SORD  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

435

E85 Optimized Engine through Boosting, Spray Optimized DIG, VCR...  

Broader source: Energy.gov (indexed) [DOE]

More Documents & Publications E85 Optimized Engine through Boosting, Spray Optimized GDi, VCR and Variable Valvetrain E85 Optimized Engine Enhanced Ethanol Engine And Vehicle...

436

Design of an Electron Gun using Computer Optimization  

E-Print Network [OSTI]

Design of an Electron Gun using Computer Optimization B. M. Lewis H. T. Tran Department geometry of the system. This optimization framework, to be considered in the context of electron guns the methods of shape optimization to design the cathode of an electron gun. The dynamical equations modeling

437

Synthesis of Optimal Controllers for Cyber Physical Systems Salar Moarref  

E-Print Network [OSTI]

Synthesis of Optimal Controllers for Cyber Physical Systems Salar Moarref November 16, 2012 construction. In this framework, we consider controller synthesis problem: given a model of the system.e. a controller that optimizes a quantitative measure.We review some of the recent works on synthesis of optimal

Plotkin, Joshua B.

438

Multi-objective gene-pool optimal mixing evolutionary algorithms  

Science Journals Connector (OSTI)

The recently introduced Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA), with a lean, but sufficient, linkage model and an efficient variation operator, has been shown to be a robust and efficient methodology for solving single objective (SO) ... Keywords: clustering, linkage tree genetic algorithm, multi-objective optimization, optimal mixing

Ngoc Hoang Luong; Han La Poutré; Peter A.N. Bosman

2014-07-01T23:59:59.000Z

439

Optimization of complex robot applications under real physical limitations  

E-Print Network [OSTI]

Optimization of complex robot applications under real physical limitations Matthieu Guilbert Pierre-Brice Wieber Luc Joly August 30, 2007 Abstract This paper deals with minimum time trajectory optimization difficult or even impossible to model. The structure of the optimization problem allows us to decompose

Paris-Sud XI, Université de

440

A moving horizon solution to the gas pipeline optimization problem  

E-Print Network [OSTI]

A moving horizon solution to the gas pipeline optimization problem EWO MEETING, Fall 2010 Ajit Gopalakrishnan Advisor: L. T. Biegler #12;Background: Gas pipeline optimization 2 Gas pipeline networks optimization Load forecast Weather, load history Controller #12;Pipeline modeling [Baumrucker & Biegler, 09

Grossmann, Ignacio E.

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

Product Design in Enterprise Wide Optimization  

E-Print Network [OSTI]

Product Design in Enterprise Wide Optimization Paul Arch, Michel Berghmans, Hany Farag NOVA · Simulation tools ­ Polymers/Plus ­ process modeling ­ Predici ­ reactor modeling ­ Gap analysis of commercial + M Dn + P1 Termination by combination Pn + Pm Dn+m Reactor model modified to resemble additional

Grossmann, Ignacio E.

442

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

443

Optimal Energy Management of a PHEV Using Trip Information  

Broader source: Energy.gov (indexed) [DOE]

NAVTEQ (Map data) Argonne's Transportation Research and Analysis Computing Center (TRACC) (traffic modeling) 2 2012 DOE VT Merit Review - VSS068 - Optimal Energy...

444

Extreme Optimization Announcements  

E-Print Network [OSTI]

Extreme Optimization Announcements Assignment 3 due tomorrow @ 5pm. No late days on Extreme, we will hold extra office hours during regular section times. #12;Extreme Optimization Extreme University Fall 2014 #12;Extreme Optimization The radiotherapy problem Saving Lives: Radiotherapy Radiation

Chen, Yiling

445

Effects of anisotropy on optimal dense coding  

E-Print Network [OSTI]

We study optimal dense coding with thermal entangled states of a two-qubit anisotropic \\emph{XXZ} model and a Heisenberg model with Dzyaloshinski-Moriya (DM) interactions. The DM interaction is another kind of anisotropic antisymmetric exchange interaction. The effects of these two kinds of anisotropies on dense coding are studied in detail for both the antiferromagnetic and ferromagnetic cases. For the two models, we give the conditions that the parameters of the models have to satisfy for a valid dense coding. We also found that even though there is entanglement, it is unavailable for our optimal dense coding, which is the same as entanglement teleportation.

Guo-Feng Zhang

2008-11-13T23:59:59.000Z

446

Cold Climates Heat Pump Design Optimization  

SciTech Connect (OSTI)

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] [ORNL; Shen, Bo [ORNL] [ORNL

2012-01-01T23:59:59.000Z

447

Optimization Online - Global Optimization Submissions - 2012  

E-Print Network [OSTI]

Proximal Point Method for Minimizing Quasiconvex Locally Lipschitz Functions ... Formulas for calculating the extremum ranks and inertias of a four-term quadratic ... Branch-and-Lift Algorithm for Deterministic Global Optimization in Nonlinear ...

448

Distributionally Robust Convex Optimization - Optimization Online  

E-Print Network [OSTI]

1Imperial College Business School, Imperial College London, United Kingdom. 2College .... to biased optimization results with poor out-of-sample performance. ...... Question. Is there a vector y ? {0,1}. P such that Ey ? f and g y ? ?? ...... (

2013-09-22T23:59:59.000Z

449

Optimal design of reverse osmosis module networks  

SciTech Connect (OSTI)

The structure of individual reverse osmosis modules, the configuration of the module network, and the operating conditions were optimized for seawater and brackish water desalination. The system model included simple mathematical equations to predict the performance of the reverse osmosis modules. The optimization problem was formulated as a constrained multivariable nonlinear optimization. The objective function was the annual profit for the system, consisting of the profit obtained from the permeate, capital cost for the process units, and operating costs associated with energy consumption and maintenance. Optimization of several dual-stage reverse osmosis systems were investigated and compared. It was found that optimal network designs are the ones that produce the most permeate. It may be possible to achieve economic improvements by refining current membrane module designs and their operating pressures.

Maskan, F.; Wiley, D.E.; Johnston, L.P.M.; Clements, D.J.

2000-05-01T23:59:59.000Z

450

Building Energy Optimization Software | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

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

451

U.S. Department of Energy Wind and Water Power Program Funding...  

Broader source: Energy.gov (indexed) [DOE]

Energy Authority will use modeling and analysis to determine the best performing wind energy systems for Alaska. This project includes upgrading the HOMER wind-diesel-solar...

452

Optimized Triple-Junction Solar Cells Using Inverted Metamorphic Approach (Presentation)  

SciTech Connect (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

453

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":""}]}

454

EXPLAIN COSMIC ACCELERATION? FIRST, CORRECT EINSTEIN HOMER G. ELLIS  

E-Print Network [OSTI]

. Keywords: Cosmic acceleration; dark matter/energy; in ation. Cosmologists are perplexed by the discovery matter into galaxies and galactic clusters and superclusters, an even more mysterious `dark energy this dark energy by Einstein's cosmological constant #3;, attributing its source to a negative pressure

Ellis, Homer

455

The Motif of Fate in Homeric Epics and Oedipus Tyrannus  

E-Print Network [OSTI]

has gone to the house of Hades” see Odyssey 3. 410 and 6.between Zeus, Poseidon and Hades (Iliad. 15. 195). ???? and90-151, Odysseus went into Hades, “to consult with the soul

Liu, Chun

2010-01-01T23:59:59.000Z

456

Optimizing Tank Car Safety Design to Reduce Hazardous Materials Transportation Risk  

E-Print Network [OSTI]

1 Optimizing Tank Car Safety Design to Reduce Hazardous Materials Transportation Risk M. Rapik Saat hazardous materials transport risk by rail · Tank Car Design Optimization Model Tank car weight and capacity model Metrics to assess tank car performance Illustration of the optimization model

Barkan, Christopher P.L.

457

Recent advances in surrogate-based optimization  

Science Journals Connector (OSTI)

The evaluation of aerospace designs is synonymous with the use of long running and computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization. Recent advances in surrogate-based design methodology bring the promise of efficient global optimization closer to reality. We review the present state of the art of constructing surrogate models and their use in optimization strategies. We make extensive use of pictorial examples and, since no method is truly universal, give guidance as to each method's strengths and weaknesses.

Alexander I.J. Forrester; Andy J. Keane

2009-01-01T23:59:59.000Z

458

Layering as Optimization Decomposition 3-1 Layering as OptimizationLayering as Optimization  

E-Print Network [OSTI]

1 Layering as Optimization Decomposition 3-1 Layering as OptimizationLayering as Optimization DecompositionDecomposition Layering as Optimization Decomposition 3-2 CONTENTSCONTENTS Introduction (Marta;2 Layering as Optimization Decomposition 3-3 Layering as Optimization Decomposition Introduction By Marta

Fan, Xingzhe

459

Numerical Experiments on Soft X-ray Emission Optimization of Nitrogen Plasma in 3 kJ Plasma Focus SY-1 Using Modified Lee Model  

Science Journals Connector (OSTI)

The X-ray emission properties of nitrogen plasmas are numerically investigated using corona plasma equilibrium model. The X-ray emission intensities... ? , Ly ?

M. Akel; Sh. Al-Hawat; S. Lee

2009-12-01T23:59:59.000Z

460

-International Doctorate Program -Identification, Optimization and Control  

E-Print Network [OSTI]

PDAE Molten Carbonate Fuel Cell Model February 7, 2008 Preprint IOC-12 #12;#12;Optimal Control of a Large PDAE Molten Carbonate Fuel Cell Model Armin Rund , Kati Sternberg, Hans Josef Pesch, and Kurt carbonate fuel cells are well suited for stationary power production and heat supply. In order to enhance

Dettweiler, Michael

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

Strategies for Solving High-Fidelity Aerodynamic Shape Optimization Problems  

E-Print Network [OSTI]

Strategies for Solving High-Fidelity Aerodynamic Shape Optimization Problems Zhoujie Lyu Aerodynamic shape optimization based on high-fidelity models is a computational intensive endeavor. The techniques are tested using the Common Research Model wing benchmark defined by the Aerodynamic Design

Papalambros, Panos

462

Optimizing the aerodynamic efficiency of intermodal freight trains  

E-Print Network [OSTI]

Optimizing the aerodynamic efficiency of intermodal freight trains Yung-Cheng Lai a,*, Christopher form 24 April 2007; accepted 17 May 2007 Abstract We develop an aerodynamic loading assignment model fuel-efficient trains. This is the first use of optimization modeling to address the aerodynamics

Barkan, Christopher P.L.

463

E85 Optimized Engine  

Broader source: Energy.gov (indexed) [DOE]

of work * Approach * Barriers * Performance Measures and Accomplishments * Technology Transfer * Plans for Next Fiscal Year * Summary 2 E85 Optimized Purpose of Work Engine *...

464

3531.ps - Optimization Online  

E-Print Network [OSTI]

Jul 13, 2012 ... Stochastic optimization of a multireservoir hydroelectric system : A decomposition approach. Water Ressource Research, 21(6):779–792, June ...

2012-07-13T23:59:59.000Z

465

Postscript - Optimization Online  

E-Print Network [OSTI]

Technical Report R-6469, AERE Harwell Labo-. ratory, Harwell, Oxfordshire, England, 1970. [21] M. J. D. Powell. A new algorithm for unconstrained optimization ...

466

Accurate prediction of HIV-1 drug response from the reverse transcriptase and protease amino acid sequences using sparse models created by convex optimization  

Science Journals Connector (OSTI)

......Binding Sites Computer Simulation Enzyme Inhibitors chemistry...HIV-1 chemistry Models, Chemical Models, Statistical...arvrevision2003en.pdf). Given the current...testing data. This entire process is then repeated 10 times...predictors, is available in MATLAB via anonymous ftp at......

Matthew Rabinowitz; Lance Myers; Milena Banjevic; Albert Chan; Joshua Sweetkind-Singer; Jessica Haberer; Kelly McCann; Roland Wolkowicz

2006-03-01T23:59:59.000Z

467

Long Proteins with Unique Optimal Foldings in the H-P Model Oswin Aichholzer David Bremner y Erik D. Demaine z Henk Meijer x  

E-Print Network [OSTI]

results about bonds in the H-P model. 1 Introduction Protein folding is a central problem such as drug de- sign. One of the most popular models of protein folding is the hydrophilic-hydrophobic (H of protein folding such as the tendency for the hydrophobic components to fold to the center of a globular

468

Euler's fluid equations: Optimal Control vs Optimization  

E-Print Network [OSTI]

An optimization method used in image-processing (metamorphosis) is found to imply Euler's equations for incompressible flow of an inviscid fluid, without requiring that the Lagrangian particle labels exactly follow the flow lines of the Eulerian velocity vector field. Thus, an optimal control problem and an optimization problem for incompressible ideal fluid flow both yield the \\emph {same} Euler fluid equations, although their Lagrangian parcel dynamics are \\emph{different}. This is a result of the \\emph{gauge freedom} in the definition of the fluid pressure for an incompressible flow, in combination with the symmetry of fluid dynamics under relabeling of their Lagrangian coordinates. Similar ideas are also illustrated for SO(N) rigid body motion.

Darryl D. Holm

2009-09-28T23:59:59.000Z

469

ME465 OPTIMAL DESIGN MWF 3:00 -3:50  

E-Print Network [OSTI]

and unconstrained optimization. Optimality criteria. Optimization using finite element models. Design projects Prerequisite: ME471 or concurrently Important skills required: Course will require extensive use of MATLAB Matlab 2. Optimization Concepts (Ch 4,5) Review of vector calculus: gradients, Hessians; Taylor

Diaz, Alejandro

470

Optimized supply routing at Dell under non-stationary demand  

E-Print Network [OSTI]

This thesis describes the design and implementation of an optimization model to manage inventory at Dell's American factories. Specifically, the model is a mixed integer program which makes routing decisions on incoming ...

Foreman, John William

2008-01-01T23:59:59.000Z

471

Optimal Futures Market Strategies for Energy Service Providers  

Science Journals Connector (OSTI)

The previous chapter focused on developing a stochastic model for the dynamics of electricity prices. Here we show how the bid-based model can be applied to help market participants optimize their decision making...

Petter L. Skantze; Marija D. Ilic

2001-01-01T23:59:59.000Z

472

Stable nonlinear identification from noisy repeated experiments via convex optimization  

E-Print Network [OSTI]

This paper introduces new techniques for using convex optimization to fit input-output data to a class of stable nonlinear dynamical models. We present an algorithm that guarantees consistent estimates of models in this ...

Tobenkin, Mark M.

473

Development of a Dynamic DOE Calibration Model  

Broader source: Energy.gov [DOE]

A dynamic heavy duty diesel engine model was developed. The model can be applied for calibration and control system optimization.

474

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.

475

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.

476

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.

477

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.

478

Synthesis of optimal adsorptive carbon capture processes.  

SciTech Connect (OSTI)

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

479

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

E-Print Network [OSTI]

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...

Davis, Michael A.

2011-10-21T23:59:59.000Z

480

Optimization of SRF Linacs  

SciTech Connect (OSTI)

This work describes preliminary results of a new software tool that allows one to vary parameters and understand the effects on the optimized costs of construction plus 10 year operations of an SRF linac, the associated cryogenic facility, and controls, where operations includes the cost of the electrical utilities but not the labor or other costs. It derives from collaborative work done with staff from Accelerator Science and Technology Centre, Daresbury, UK several years ago while they were in the process of developing a conceptual design for the New Light Source project.[1] The initial goal was to convert a spread sheet format to a graphical interface to allow the ability to sweep different parameter sets. The tools also allow one to compare the cost of the different facets of the machine design and operations so as to better understand the tradeoffs. The work was first published in an ICFA Beam Dynamics News Letter.[2] More recent additions to the software include the ability to save and restore input parameters as well as to adjust the Qo versus E parameters in order to explore the potential costs savings associated with doing so. Additionally, program changes now allow one to model the costs associated with a linac that makes use of energy recovery mode of operation.

Powers, Tom [JLAB

2013-09-01T23:59:59.000Z

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

Reverse Osmosis Optimization  

Broader source: Energy.gov [DOE]

Report assesses techniques for optimizing reverse osmosis (RO) systems to increase RO system performance and water efficiency. It 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.

482

Economic and environmental analysis of power generation expansion in Japan considering Fukushima nuclear accident using a multi-objective optimization model  

Science Journals Connector (OSTI)

Nuclear power has long been a cornerstone of energy policy in Japan, a country with few natural resources of its own. However, following on from the Fukushima Daiichi accident, the Japanese government is now in the throes of reviewing its nuclear power policy. On the other hand, under continuing policies of greenhouse gas reduction, it is crucial to consider scenarios for the country to realize an economic, safe and low-carbon power generation system in the future. Therefore, in the present study, economic and environmental analysis was conducted on the power generation system in Japan up to 2030 using a multi-objective optimization methodology. Four nuclear power scenarios were proposed in light of the nuclear accident: (1) actively anti-nuclear; (2) passively negative towards nuclear; (3) conservative towards nuclear; and (4) active expansion of nuclear power. The obtained capacity mix, generation mix, generation cost, CO2 emissions and fuel consumption of the scenarios were compared and analysed. The obtained results show that the large scale penetration of PV (photovoltaic), wind and LNG (Liquefied Natural Gas) power can partly replace nuclear power, however, removing nuclear power entirely was not suggested from economic, environmental and energy security perspectives.

Qi Zhang; Benjamin C. Mclellan; Tetsuo Tezuka; Keiichi N. Ishihara

2012-01-01T23:59:59.000Z

483

Modellering av Panna 5 Mälarenergi AB.  

E-Print Network [OSTI]

?? Heat and power stations are often in need of optimizations. A simulation model is a tool for findingways to optimize the plant. The scope… (more)

Öberg, Filip

2009-01-01T23:59:59.000Z

484

Optimization Online - Level methods uniformly optimal for composite ...  

E-Print Network [OSTI]

Apr 19, 2011 ... Level methods uniformly optimal for composite and structured nonsmooth convex optimization. Guanghui Lan (glan ***at*** ise.ufl.edu).

Guanghui Lan

2011-04-19T23:59:59.000Z

485

Optimization Online - Global Optimization Toolbox for Maple: An ...  

E-Print Network [OSTI]

Feb 21, 2005 ... Give us feedback · Optimization Journals, Sites, Societies. Optimization Online is supported by the Mathematical Programming Society and by

Janos D. Pinter

2005-02-21T23:59:59.000Z

486

E85 Optimized Engine through Boosting, Spray Optimized GDi, VCR...  

Broader source: Energy.gov (indexed) [DOE]

GDi, VCR and Variable Valvetrain E85 Optimized Engine through Boosting, Spray Optimized GDi, VCR and Variable Valvetrain 2009 DOE Hydrogen Program and Vehicle Technologies Program...

487

NEWTON'S METHOD FOR MULTIOBJECTIVE OPTIMIZATION ...  

E-Print Network [OSTI]

truss optimization [8, 29, 40], design [27, 20, 38], space exploration [34, 41]), statis- tics [5], management ... Moreover, the corresponding optimization process is usually aug- ...... of optimal ressource allocation in job-shop production. European ...

488

Query Optimization Techniques Class Hierarchies  

E-Print Network [OSTI]

Query Optimization Techniques Exploiting Class Hierarchies Sophie Cluet 1 Guido Moerkotte 2 1 INRIA Since the introduction of object base management systems (OBMS), many query optimization techniques tailored for object query languages have been proposed. They adapt known optimization techniques

Mannheim, Universität

489

Efficient numerical surface wave propagation through the optimization of discrete crustal models—a technique based on non-linear dispersion curve matching (DCM)  

Science Journals Connector (OSTI)

......and 8) are the least constrained. 4 Methodology The modification of discrete earth models...and (13), with their respective subsidiary conditions, exist. 4.2 Non-Linear...Schoenberg M. , Muir F., 1989. A calculus for finely layered anisotropic media......

Andreas Fichtner; Heiner Igel

2008-05-01T23:59:59.000Z

490

International Conference of Modeling and Simulation -MOSIM'10 -May 10-12, 2010 -Hammamet -Tunisia "Evaluation and optimization of innovative production systems of goods and services"  

E-Print Network [OSTI]

support system for vehicle routing based on model inversion and data analysis Bernat GACIAS, Pierre LOPEZ.cegarra@univ-jfc.fr ABSTRACT: In this paper, we present a three-phase solving mechanism for the vehicle routing problem and an ecological interface design coming from cognitive ergonomics. We focus our study in how to manage

Paris-Sud XI, Université de

491

Practical Approach to Water System Optimal Operation  

Science Journals Connector (OSTI)

Abstract Optimal pump scheduling is a major consideration when dealing with minimizing operational costs of a water distribution system. Pump operation must balance between three factors. Water balance constraints, including consumer demand and water tank volumes. Hydraulic constraints determining water pump operating point. Electrical tariff rate effecting energy cost. Optimization models may assume linear or discrete pump operation, depending on type and accuracy of the model in use. Linear operation assumes the pump may operate during part of the time step while discrete operation requires the pump to be either on or off during the entire time step. Linear optimization models commonly have short solution times, but cannot contain non-linear constraints such as hydraulic headloss. By such, linear model results may be difficult to implement in a real water system as the hydraulic behavior of the system may render the optimal solution impractical. Likewise, if the pump operation partially uses the time step the pump may be forced to come in and out of duty often causing mechanical ware and tare. Discrete operation provides smooth pump operation and may contain non-linear hydraulic constraint to calculate a more realistic working point for the pump. Discrete models have long solution times due the vast amount of pump operating combinations, which must be explored. Heuristic techniques may be used to shorten solution times but these do not assure global minimization of the solution. The goal of the research is to create a minimum cost optimal operation water distribution system model that utilizes the short solution time of a linear model but also includes non-linear hydraulic constraints effecting pump energy consumption and discrete pump operation. The motivation is to use the model for real-time pump scheduling and for water system design.

E. Price; A. Ostfeld

2014-01-01T23:59:59.000Z

492

Research on Optimal Operation Method of Large Scale Urban Water Distribution System  

Science Journals Connector (OSTI)

Abstract In consideration of using fewer decision variables in building least cost pumping operation optimal, the two-phase optimal method is used as the frame. By abstracting pump stations into high level reservoirs, the water distribution system hydraulic model can be modified into a modality, which can be used in first optimal phase of two-phase optimal method. And by building on feasible pump combination database, a new optimal method in the second optimal phase will be proposed. And the proposed new method in the second optimal phase will be embedded into the first optimal phase, so that the problem of results discordant in different phases of two-phase optimal method will be solved. By introducing new concept and improving present optimal method, a more practical optimal operation method of water distribution system (WDS) will be established. By applying to a large scale water distribution system, the practicability of proposed method has been evaluated.

X. Jin; W. Wu

2014-01-01T23:59:59.000Z

493

Multidimensional effects in optimal control analysis for nuclear reactors  

SciTech Connect (OSTI)

Physically realistic step function control rod models are shown to be unsolvable under traditional formulations of distributed parameter optimal control theory. Extensions to the theory are proposed and derived to allow these systems to be analyzed using straightforward optimality conditions. The extended theory is then applied to a xenon-iodine oscillation problem in two dimensions. The conditions of optimality are found, and analytical insights concerning the importance of the control rod tip for the optimality condition are obtained. The flux influence function is found by solving an eigenvalue problem, and the required normalization condition is found in one of the optimality conditions. The optimality and normalization conditions are solved numerically for a severe xenon transient, and the transient is stabilized by the intervention of the optimal control.

Wyss, G.D.; Alford, R.A.

1988-12-01T23:59:59.000Z

494

Optimal control theory with arbitrary superpositions of waveforms  

E-Print Network [OSTI]

Standard optimal control methods perform optimization in the time domain. However, many experimental settings demand the expression of the control signal as a superposition of given waveforms. Since this type of constraint is not time-local, Optimal Control Theory cannot be used without modifications. Simplex methods, used as a substitute in this case, tend to be less efficient and less reliable than Optimal Control Theory. In this paper, we present an extension to Optimal Control Theory which allows gradient-based optimization for superpositions of arbitrary waveforms. Its key is the use of the Moore-Penrose pseudoinverse as an efficient means of transforming from a time-local to a waveform-based description. To illustrate this optimization technique, we study the parametrically driven harmonic oscillator as model system and reduce its energy, considering both Hamiltonian dynamics and open-system dynamics. We demonstrate the viability and efficiency of the method for these test cases.

Selina Meister; Jürgen T. Stockburger; Rebecca Schmidt; Joachim Ankerhold

2014-08-27T23:59:59.000Z

495

Optimizing Control- A Survey  

E-Print Network [OSTI]

Ipulated Inpute teL point.. planl pIInm.t.erl --_ Figure 2: The Optimizing Control Scheme Figure 2 shows a fairly general arrangement of func tional units, the blocks, and the signal path connecting them. On the lowest level is the plant and the controller... performing the regulatory control of the plant. These two parts form the superblock "controlled plant". The optimizer is on the next higher level. It forms together with the "con trolled plant" the superblock "optimized plant" which is again manipulated...

Preisig, H. A.

496

Optimal Quantum Pumps  

E-Print Network [OSTI]

We study adiabatic quantum pumps on time scales that are short relative to the cycle of the pump. In this regime the pump is characterized by the matrix of energy shift which we introduce as the dual to Wigner's time delay. The energy shift determines the charge transport, the dissipation, the noise and the entropy production. We prove a general lower bound on dissipation in a quantum channel and define optimal pumps as those that saturate the bound. We give a geometric characterization of optimal pumps and show that they are noiseless and transport integral charge in a cycle. Finally we discuss an example of an optimal pump related to the Hall effect.

J. E. Avron; A. Elgart; G. M. Graf; L. Sadun

2001-07-12T23:59:59.000Z

497

Thermophotovoltaic Array Optimization  

SciTech Connect (OSTI)

A systematic approach to thermophotovoltaic (TPV) array design and fabrication was used to optimize the performance of a 192-cell TPV array. The systematic approach began with cell selection criteria that ranked cells and then matched cell characteristics to maximize power output. Following cell selection, optimization continued with an array packaging design and fabrication techniques that introduced negligible electrical interconnect resistance and minimal parasitic losses while maintaining original cell electrical performance. This paper describes the cell selection and packaging aspects of array optimization as applied to fabrication of a 192-cell array.

SBurger; E Brown; K Rahner; L Danielson; J Openlander; J Vell; D Siganporia

2004-07-29T23:59:59.000Z

498

Optimization Online Digest -- January 2005  

E-Print Network [OSTI]

Alexander Shapiro, Huifu Xu. Convex and Nonsmooth Optimization On the Minimum ... C. Jansson, C. Keil. Nonlinear Optimization A generating set search ...

499

Section 3.4: Optimization  

E-Print Network [OSTI]

Apr 2, 2014 ... knowledge to solve certain optimization problems. Optimization problems arise in almost every discipline. They are one of the key applications ...

2014-04-04T23:59:59.000Z

500

Optimization Online Digest -- May 2014  

E-Print Network [OSTI]

Global Optimization An Optimization Approach to the Design of Multi-Size Heliostat fields. E. Carrizosa, C. Domínguez-Bravo, E. Fernández-Cara, M. Quero