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Sample records for logistics demand model

  1. Abstract --Most logistics network design models assume exogenous customer demand that is independent of the service

    E-Print Network [OSTI]

    Graves, Stephen C.

    Abstract -- Most logistics network design models assume exogenous customer demand for the network design decision making process. Index Terms -- Logistics Network Design, Demand Classes, Benefits. In most logistics network design models, the customer demand is exogenous and defined as a uniform

  2. Reducing Logistics Footprints and Replenishment Demands: Nano...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Reducing Logistics Footprints and Replenishment Demands: Nano-engineered Silica Aerogels a Proven Method for Water Treatment Citation Details In-Document Search...

  3. EIA model documentation: World oil refining logistics demand model,``WORLD`` reference manual. Version 1.1

    SciTech Connect (OSTI)

    Not Available

    1994-04-11

    This manual is intended primarily for use as a reference by analysts applying the WORLD model to regional studies. It also provides overview information on WORLD features of potential interest to managers and analysts. Broadly, the manual covers WORLD model features in progressively increasing detail. Section 2 provides an overview of the WORLD model, how it has evolved, what its design goals are, what it produces, and where it can be taken with further enhancements. Section 3 reviews model management covering data sources, managing over-optimization, calibration and seasonality, check-points for case construction and common errors. Section 4 describes in detail the WORLD system, including: data and program systems in overview; details of mainframe and PC program control and files;model generation, size management, debugging and error analysis; use with different optimizers; and reporting and results analysis. Section 5 provides a detailed description of every WORLD model data table, covering model controls, case and technology data. Section 6 goes into the details of WORLD matrix structure. It provides an overview, describes how regional definitions are controlled and defines the naming conventions for-all model rows, columns, right-hand sides, and bounds. It also includes a discussion of the formulation of product blending and specifications in WORLD. Several Appendices supplement the main sections.

  4. Logistic Model Trees Niels Landwehr

    E-Print Network [OSTI]

    Frank, Eibe

    Logistic Model Trees Niels Landwehr Institute for Computer Science, University of Freiburg for classification problems, using logistic regression instead of linear regression. We use a stagewise fitting process to construct the logistic regression models that can select relevant attributes in the data

  5. Logistic Model Trees + Niels Landwehr

    E-Print Network [OSTI]

    Frank, Eibe

    Logistic Model Trees + Niels Landwehr Institute for Computer Science, University of Freiburg for classification problems, using logistic regression instead of linear regression. We use a stagewise fitting process to construct the logistic regression models that can select relevant attributes in the data

  6. LOGISTIC POPULATION MODEL In the logistic population model ...

    E-Print Network [OSTI]

    2015-08-26

    In the logistic population model, the population growth rate obeys. dP dt. = r(1 ?. P c. )P, P(0) = P0. To solve this equation, we proceed as follow. dP dt. = r(1 ?. P.

  7. Logistic Growth The logistic equation is a model of limited population growth. The exponential growth model

    E-Print Network [OSTI]

    Ikenaga, Bruce

    9­28­1998 Logistic Growth The logistic equation is a model of limited population growth of organisms runs out of food, encounters predators, or fouls its own environment with waste. The logistic the carrying capacity. Example. A population of roaches grows logistically in Calvin Butterball's kitchen

  8. Logistics Network Models Instructor: Dr. Ali Akgunduz, Office: EV 4.217, Tel: 514-848-2424 ext 3179

    E-Print Network [OSTI]

    Akgunduz, Ali

    1 INDU 498 Logistics Network Models Instructor: Dr. Ali Akgunduz, Office: EV 4.217, Tel: 514-848-2424 ext 3179 Text Book: 1. Introduction to Logistics Systems Planning and Control, G. Ghiani, G. Laporte networks Ground carriers Logistic issues for companies 2 SUPPLY CHAIN MODELS Demand chains Demand

  9. Logistics

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

    Logistics Logistics Location and Schedule Large Scale Production Computing and Storage Requirements for Basic Energy Sciences: Target 2017 BES ASCR NERSC Requirements Review...

  10. Logistics

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

    Logistics Logistics The review will be held at the Hyatt Regency Bethesda for all of April 29 and in the morning of April 30, finishing with lunch from 12-1pm. MAKING RESERVATIONS...

  11. Logistics

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

    Logistics Logistics Location and Schedule The meeting will be held in a single day on site at Lawrence Berkeley National Laboratory in Building 15, Conference Room 253. There is no...

  12. Modeling Interplanetary Logistics: A Mathematical Model for Mission Planning

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Modeling Interplanetary Logistics: A Mathematical Model for Mission Planning Christine Taylor, Miao design is how to best design the logistics required to sustain the exploration initiative. Using terrestrial logistics modeling tools that have been extended to encompass the dynamics and requirements

  13. Applying waste logistics modeling to regional planning

    SciTech Connect (OSTI)

    Holter, G.M.; Khawaja, A.; Shaver, S.R.; Peterson, K.L.

    1995-05-01

    Waste logistics modeling is a powerful analytical technique that can be used for effective planning of future solid waste storage, treatment, and disposal activities. Proper waste management is essential for preventing unacceptable environmental degradation from ongoing operations, and is also a critical part of any environmental remediation activity. Logistics modeling allows for analysis of alternate scenarios for future waste flowrates and routings, facility schedules, and processing or handling capacities. Such analyses provide an increased understanding of the critical needs for waste storage, treatment, transport, and disposal while there is still adequate lead time to plan accordingly. They also provide a basis for determining the sensitivity of these critical needs to the various system parameters. This paper discusses the application of waste logistics modeling concepts to regional planning. In addition to ongoing efforts to aid in planning for a large industrial complex, the Pacific Northwest Laboratory (PNL) is currently involved in implementing waste logistics modeling as part of the planning process for material recovery and recycling within a multi-city region in the western US.

  14. Matrix Modeling Methods for Spaceflight Campaign Logistics Analysis

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Matrix Modeling Methods for Spaceflight Campaign Logistics Analysis Afreen Siddiqi and Olivier L-based modeling approach for analyzing spaceflight campaign logistics. A campaign is considered to be a series logistics properties. A logistics strategy index is proposed for quantifying manifesting strategies

  15. Construction Logistics Improvements using the SCOR model Tornet Case

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Construction Logistics Improvements using the SCOR model ­Tornet Case Fredrik Persson1 , Jonas are emerging that leads to cost reductions in construction. In this strive towards improvement, logistics on cost savings from the logistics perspective in different areas of the logistic system. Keywords

  16. Logistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCenter (LMI-EFRC)Lodging Lodging MeetingLogisticalLogistics

  17. Logistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCenter (LMI-EFRC)Lodging LodgingLogistics Logistics The review

  18. Logistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCenter (LMI-EFRC)Lodging Lodging MeetingLogistical

  19. Integrated Modeling and Simulation of Lunar Exploration Campaign Logistics

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Integrated Modeling and Simulation of Lunar Exploration Campaign Logistics by Sarah A. Shull B #12;Integrated Modeling and Simulation of Lunar Exploration Campaign Logistics by Sarah A. Shull to establish a manned outpost on the lunar surface, it is essential to consider the logistics of both

  20. Integrated Modeling and Simulation of Lunar Exploration Campaign Logistics

    E-Print Network [OSTI]

    Integrated Modeling and Simulation of Lunar Exploration Campaign Logistics Sarah A. Shull, Olivier Campaign Logistics by Sarah A. Shull B.S.E. Aerospace Engineering (2001) The University of Michigan) #12;4 Integrated Modeling and Simulation of Lunar Exploration Campaign Logistics by Sarah A. Shull

  1. A Mathematical Model for Interplanetary Logistics Ms. Christine Taylor

    E-Print Network [OSTI]

    de Weck, Olivier L.

    A Mathematical Model for Interplanetary Logistics Ms. Christine Taylor Research Assistant. A primary question for space exploration mission design is how to best design the logistics re- quired to sustain the exploration initiative. Using terrestrial logistics modeling tools that have been extended

  2. Logistic Model Trees Niels Landwehr1,2

    E-Print Network [OSTI]

    Frank, Eibe

    Logistic Model Trees Niels Landwehr1,2 , Mark Hall2 , and Eibe Frank2 1 Department of Computer problems, using logistic regression instead of linear regression. We use a stagewise fitting process to construct the logistic regression models that can select relevant attributes in the data in a natural way

  3. A MODELING APPROACH FOR LOCATING LOGISTICS PLATFORMS FOR FAST PARCEL

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 29 A MODELING APPROACH FOR LOCATING LOGISTICS PLATFORMS FOR FAST PARCEL DELIVERY IN URBAN AREAS for optimizing, in a sustainable way (i.e. economical, eco-friendly and societal), the location of logistics has a logistics platform right in its centre (ARENC: 41362 m2 of warehouses and offices

  4. Logistic Growth Logistic growth is a simple model for predicting the size y(t) of a population as a

    E-Print Network [OSTI]

    Feldman, Joel

    Logistic Growth Logistic growth is a simple model for predicting the size y(t) of a population the differential equation y (t) = by(t) Logistic growth adds one more wrinkle to this model. It assumes available to each member decreases. This in turn causes the net birth rate b to decrease. In the logistic

  5. Physically-based demand modeling 

    E-Print Network [OSTI]

    Calloway, Terry Marshall

    1980-01-01

    nts on the demand. Of course the demand of a real a1r cond1t1oner has lower and upper bounds equal to 0 and 0 , respec- u tively. A constra1ned system can be simulated numerically, but there 1s no explicit system response formula s1m11ar... sect1on. It may now be instruct1ve to relate this model to that of Jones and Bri ce [5] . The average demand pred1 cted by their model is the expected value of the product of a load response factor 0 and a U sw1tching process H(t), which depends...

  6. Logistics modeling of future solid waste storage, treatment, and disposal

    SciTech Connect (OSTI)

    Holter, G.M.; Stiles, D.L.; Shaver, S.R.; Armacost, L.L.

    1993-11-01

    Logistics modeling is a powerful analytical technique for effective planning of waste storage, treatment, and disposal activities. Logistics modeling facilitates analyses of alternate scenarios for future waste flows, facility schedules, and processing or handling capacities. These analyses provide an increased understanding of the specific needs for waste storage, treatment, and disposal while adequate time remains to plan accordingly. They also help to determine the sensitivity of these needs to various system parameters. This paper discusses a logistics modeling system developed by the Pacific Northwest Laboratory (PNL) to aid in solid waste planning for a large industrial complex managing many different types and classifications of waste. The basic needs for such a system are outlined, and the approach adopted in developing the system is described. A key component of this approach is the development of a conceptual model that provides a flexible framework for modeling the waste management system and addressing the range of logistics and economic issues involved. Developing an adequate description of the waste management system being analyzed is discussed. Examples are then provided of the types of analyses that have been conducted. The potential application of this modeling system to different settings is also examined.

  7. Modeling Energy Demand Aggregators for Residential Consumers

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Modeling Energy Demand Aggregators for Residential Consumers G. Di Bella, L. Giarr`e, M. Ippolito, A. Jean-Marie, G. Neglia and I. Tinnirello § January 2, 2014 Abstract Energy demand aggregators- response paradigm. When the energy provider needs to reduce the current energy demand on the grid, it can

  8. MODELLING WOODLAND RECREATION DEMAND USING GEOGRAPHICAL

    E-Print Network [OSTI]

    Bateman, Ian J.

    MODELLING WOODLAND RECREATION DEMAND USING GEOGRAPHICAL INFORMATION SYSTEMS: A BENEFIT TRANSFER;MODELLING WOODLAND RECREATION DEMAND USING GEOGRAPHICAL INFORMATION SYSTEMS: A BENEFIT TRANSFER STUDY by Ian Research Promotion Fund. ISSN 0967-8875 #12;Abstract This paper utilizes geographical information systems

  9. Logistic Models with Time-Dependent Coefficients and Some of Their Applications

    E-Print Network [OSTI]

    Raquel M. Lopez; Benjamin R. Morin; Sergei K. Suslov

    2010-08-15

    We discuss explicit solutions of the logistic model with variable parameters. Classical data on the sunflower seeds growth are revisited as a simple application of the logistic model with periodic coefficients. Some applications to related biological systems are briefly reviewed.

  10. Modelling of Large Logistics Networks On Non-Ergodic Infinite-State Stochastic Petri Nets

    E-Print Network [OSTI]

    Bause, Falko

    1 Modelling of Large Logistics Networks SFB 559 On Non-Ergodic Infinite-State Stochastic Petri Nets-sensitive GSPNs · E-sensitivity and non-ergodicity · Conclusions #12;2 Modelling of Large Logistics Networks SFB 559 Applications Methods SFB 559 Modelling of Large Logistics Networks M12 Decision Support M9 Data

  11. A FLEXIBLE, MODULAR APPROACH TO INTEGRATED SPACE EXPLORATION CAMPAIGN LOGISTICS MODELING, SIMULATION, AND ANALYSIS

    E-Print Network [OSTI]

    de Weck, Olivier L.

    A FLEXIBLE, MODULAR APPROACH TO INTEGRATED SPACE EXPLORATION CAMPAIGN LOGISTICS MODELING Students #12;2 A FLEXIBLE, MODULAR APPROACH TO INTEGRATED SPACE EXPLORATION CAMPAIGN LOGISTICS MODELING in Aeronautics and Astronautics #12;3 Abstract A space logistics modeling framework to support space exploration

  12. Modeling Interplanetary Logistics: A Mathematical Model for Mission Planning

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Bush set forth a new exploration initiative to achieve a sustained human presence in space. Included missions, a reduction in cost can be achieved which promotes a more sustainable system architecture design is how to best design the logistics required to sustain the exploration initiative. Using

  13. A flexible, modular approach to integrated space exploration campaign logistics modeling, simulation, and analysis

    E-Print Network [OSTI]

    Grogan, Paul Thomas, 1985-

    2010-01-01

    A space logistics modeling framework to support space exploration to remote environments is the target of research within the MIT Space Logistics Project. This thesis presents a revised and expanded framework providing ...

  14. A Logistic Branching Process Alternative to the Wright-Fisher Model R. B. Campbell

    E-Print Network [OSTI]

    Campbell, Russell Bruce

    A Logistic Branching Process Alternative to the Wright-Fisher Model R. B. Campbell Department://www.math.uni.edu/campbell (319) 273-2447 Running head: Logistic Branching Process Keywords: Branching Process, Coalescent approximation to the Wright-Fisher model. A logistic branching process is introduced in order to limit

  15. Logistic Model Trees Niels Landwehr 1,2 , Mark Hall 2 , and Eibe Frank 2

    E-Print Network [OSTI]

    Frank, Eibe

    Logistic Model Trees Niels Landwehr 1,2 , Mark Hall 2 , and Eibe Frank 2 1 Department of Computer problems, using logistic regression instead of linear regression. We use a stagewise fitting process to construct the logistic regression models that can select relevant attributes in the data in a natural way

  16. IEMS 490: Special topics: Operations Research Modeling in Humanitarian and Non-Profit Logistics

    E-Print Network [OSTI]

    Smilowitz, Karen

    IEMS 490: Special topics: Operations Research Modeling in Humanitarian and Non-Profit Logistics228) Course Description This course will cover a range of topics related to the modeling of logistics. Course material focuses on formulating complex logistics problems, teaching students to trans- late real

  17. Int. J. , Vol. x, No. x, xxxx 1 Modelling and Analysis of Service Parts Logistics Systems

    E-Print Network [OSTI]

    Rossetti, Manuel D.

    Int. J. , Vol. x, No. x, xxxx 1 Modelling and Analysis of Service Parts Logistics Systems Fernando, the behaviour of the service parts logistics system (SPLS) is approximated with a modified M/G/1 HOL queuing policy. Keywords: Service parts logistics, optimisation, genetic algorithms, M/G/1 queuing model

  18. A FLEXIBLE, MODULAR APPROACH TO INTEGRATED SPACE EXPLORATION CAMPAIGN LOGISTICS MODELING, SIMULATION, AND ANALYSIS

    E-Print Network [OSTI]

    de Weck, Olivier L.

    A FLEXIBLE, MODULAR APPROACH TO INTEGRATED SPACE EXPLORATION CAMPAIGN LOGISTICS MODELING Students #12;#12;3 Abstract A space logistics modeling framework to support space exploration to remote environments is the target of research within the MIT Space Logistics Project. This thesis presents a revised

  19. Logistic Regression and Bayesian Model Selection in Estimation of Probability of Success

    E-Print Network [OSTI]

    Shemyakin, Arkady

    1 1 Logistic Regression and Bayesian Model Selection in Estimation of Probability of Success Arkady ABSTRACT Logistic regression and linear discriminant analysis are used to estimate probability of success X is analyzed as an explanatory variable. A comparison is made between logistic regression technique

  20. AN INTRODUCTION TO SEMANTIC MODELING FOR LOGISTICAL SYSTEMS David L. Brock

    E-Print Network [OSTI]

    Brock, David

    logistics at the forefront of management for many firms. Recent developments, such asAuto-ID technology and interact with the phys- ical world. Such computing systems open new opportunities for logistics managementAN INTRODUCTION TO SEMANTIC MODELING FOR LOGISTICAL SYSTEMS by David L. Brock Massachusetts

  1. Modeling the Logistics Performance in Developing Countries: An exploratory study of Moroccan context

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Modeling the Logistics Performance in Developing Countries: An exploratory study of Moroccan to raise their levels of logistics performance. This article is a research progress; it presents, Technological Practices, Supply Chain performance, Morocco. 1. INTRODUCTION: Logistic in Morocco is still

  2. American Institute of Aeronautics and Astronautics Space Logistics Modeling and Simulation Analysis using

    E-Print Network [OSTI]

    de Weck, Olivier L.

    American Institute of Aeronautics and Astronautics 1 Space Logistics Modeling and Simulation at the International Space Station in low-Earth orbit, logistics is complicated by flights arriving from five launch sites on Earth. The future challenges of space logistics given complex campaigns of interconnected

  3. Decision Support Modeling and analysis of an auction-based logistics market

    E-Print Network [OSTI]

    Karaesmen, Fikri

    Decision Support Modeling and analysis of an auction-based logistics market Semra Agrali a , Barisß a logistics spot market where the transportation orders from a number of firms are matched with two types that have lower costs. In order to analyze the effects of implementing a logistics spot market

  4. Logistics 46 3 Logistics

    E-Print Network [OSTI]

    Henkel, Werner

    Logistics #12;Logistics 46 3 Logistics Logistics plays an increasingly important role in society there are currently two workgroups active in the field of international logistics engineering research. The workgroup Global Production Logistics led by Prof. Dr.-Ing. Katja Windt and the workgroup Maritime Logis- tics led

  5. Gibbs Sampling for Logistic Normal Topic Models with Graph-Based Priors

    E-Print Network [OSTI]

    McCallum, Andrew

    in the T - 1 simplex (i.e., a T-dimensional logistic normal random variable) can be generated as follows: 1Gibbs Sampling for Logistic Normal Topic Models with Graph-Based Priors David Mimno, Hanna M relationships. Models for spatial and temporal data often rely on real-valued state space models such as dynamic

  6. Integrated modeling and simulation of lunar exploration campaign logistics

    E-Print Network [OSTI]

    Shull, Sarah A. (Sarah Anderson)

    2007-01-01

    As NASA prepares to establish a manned outpost on the lunar surface, it is essential to consider the logistics of both the construction and operation of this outpost. This thesis presents an interplanetary supply chain ...

  7. An Operational Model for Optimal NonDispatchable Demand Response

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    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

  8. A regression model with a hidden logistic process for signal parametrization

    E-Print Network [OSTI]

    Chamroukhi, Faicel

    A regression model with a hidden logistic process for signal parametrization F. Chamroukhi, A. Samé/UTC-France) ESANN 2009 April 24 2009 2 / 21 #12;Context Context: Predictive maintenance of the French railway 2009 6 / 21 #12;The proposed regression approach A regression model with a hidden logistic process

  9. Univariate Modeling and Forecasting of Monthly Energy Demand Time Series

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    Univariate Modeling and Forecasting of Monthly Energy Demand Time Series Using Abductive and Neural networks, Neural networks, Modeling, Forecasting, Energy demand, Time series forecasting, Power system demand time series based only on data for six years to forecast the demand for the seventh year. Both

  10. Two Market Models for Demand Response in Power Networks

    E-Print Network [OSTI]

    Wierman, Adam

    Two Market Models for Demand Response in Power Networks Lijun Chen, Na Li, Steven H. Low and John C-- In this paper, we consider two abstract market models for designing demand response to match power supply as oligopolistic markets, and propose distributed demand response algorithms to achieve the equilibria. The models

  11. Examining Uncertainty in Demand Response Baseline Models and

    E-Print Network [OSTI]

    LBNL-5096E Examining Uncertainty in Demand Response Baseline Models and Variability in Automated of California. #12;Examining Uncertainty in Demand Response Baseline Models and Variability in Automated.e. dynamic prices). Using a regression-based baseline model, we define several Demand Response (DR

  12. Logistic regression models for predicting trip reporting accuracy in GPS-enhanced household travel surveys 

    E-Print Network [OSTI]

    Forrest, Timothy Lee

    2007-04-25

    This thesis presents a methodology for conducting logistic regression modeling of trip and household information obtained from household travel surveys and vehicle trip information obtained from global positioning systems (GPS) to better understand...

  13. Mining customer credit by using neural network model with logistic regression approach 

    E-Print Network [OSTI]

    Kao, Ling-Jing

    2001-01-01

    . The objective of this research was to investigate the methodologies to mine customer credit history for the bank industry. Particularly, combination of logistic regression model and neural network technique are proposed to determine if the predictive capability...

  14. A Spatio-Temporal Point Process Model for Ambulance Demand

    E-Print Network [OSTI]

    Woodard, Dawn B.

    (EMS) managers need accurate demand estimates to mini- mize response times to emergencies and keep. Several studies have modeled aggregate ambulance demand as a temporal process. Channouf et al. (2007) use by combining a dynamic latent factor structure with integer time series models. Other aggregate demand studies

  15. ENHANCING DISCRETE CHOICE DEMAND MODELING FOR DECISION-BASED DESIGN

    E-Print Network [OSTI]

    Chen, Wei

    the Decision-Based Design framework. Even though demand modeling techniques exist in market research, little design, in particular that facilitates engineering decision-making. In market research, two major demand1 ENHANCING DISCRETE CHOICE DEMAND MODELING FOR DECISION-BASED DESIGN In Press of ASME Journal

  16. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. A Mathematical Model for Interplanetary Logistics

    E-Print Network [OSTI]

    de Weck, Olivier L.

    permission. A Mathematical Model for Interplanetary Logistics Christine Taylor; Miao Song; Diego Klabjan; Olivier de Weck; David Simchi-Levi Logistics Spectrum; Jan-Mar 2007; 41, 1; Military Module pg. 23 #12

  17. Logistics Network Design with Differentiated Delivery Lead-Time: Benefits and Insights

    E-Print Network [OSTI]

    Cheong, Michelle L.F.

    Most logistics network design models assume exogenous customer demand that is independent of the service time or level. This paper examines the benefits of segmenting demand according to lead-time sensitivity of customers. ...

  18. Logistics' Liabilities

    E-Print Network [OSTI]

    Cowen, Deborah

    2011-01-01

    Lalonde, B. 1994. “Perspectives on Logistics Management. ”In The Logistics Handbook. Robeson, J.F. and Copacino, W.Distribution . 1, October. Logistics Management Institute (

  19. A regression model with a hidden logistic process for feature extraction from time series

    E-Print Network [OSTI]

    Chamroukhi, Faicel

    A regression model with a hidden logistic process for feature extraction from time series Faicel from time series is proposed in this paper. This approach consists of a specific regression model Reweighted Least-Squares (IRLS) algorithm. A piecewise regression algorithm and its iterative variant have

  20. Grid Integration of Aggregated Demand Response, Part 2: Modeling Demand Response in a Production Cost Model

    Broader source: Energy.gov [DOE]

    Renewable integration studies have evaluated many challenges associated with deploying large amounts of variable wind and solar generation technologies. These studies can evaluate operational impacts associated with variable generation, benefits of improved wind and solar resource forecasting, and trade-offs between institutional changes, including increasing balancing area cooperation and technical changes such as installing new flexible generation. Demand response (DR) resources present a potentially important source of grid flexibility and can aid in integrating variable generation; however, integration analyses have not yet incorporated these resources explicitly into grid simulation models as part of a standard toolkit for resource planners.

  1. Development of the Integrated Biomass Supply Analysis and Logistics Model (IBSAL)

    SciTech Connect (OSTI)

    Sokhansanj, Shahabaddine [ORNL; Webb, Erin [ORNL; Turhollow Jr, Anthony F [ORNL

    2008-06-01

    The Integrated Biomass Supply & Logistics (IBSAL) model is a dynamic (time dependent) model of operations that involve collection, harvest, storage, preprocessing, and transportation of feedstock for use at a biorefinery. The model uses mathematical equations to represent individual unit operations. These unit operations can be assembled by the user to represent the working rate of equipment and queues to represent storage at facilities. The model calculates itemized costs, energy input, and carbon emissions. It estimates resource requirements and operational characteristics of the entire supply infrastructure. Weather plays an important role in biomass management and thus in IBSAL, dictating the moisture content of biomass and whether or not it can be harvested on a given day. The model calculates net biomass yield based on a soil conservation allowance (for crop residue) and dry matter losses during harvest and storage. This publication outlines the development of the model and provides examples of corn stover harvest and logistics.

  2. Logistic Regression Models In the linear regression model X + , there are two types of variables explanatory variables 1 2, ,.., kX X X

    E-Print Network [OSTI]

    Shalabh

    1 Chapter 14 Logistic Regression Models In the linear regression model X + , there are two types two possible values 0 and 1. In such a case, the logistic regression is used. For example, y can function of a random variable. In particular, the logistic distribution, whose cumulative distribution

  3. MODELING THE DEMAND FOR E85 IN THE UNITED STATES

    SciTech Connect (OSTI)

    Liu, Changzheng; Greene, David L

    2013-10-01

    How demand for E85 might evolve in the future in response to changing economics and policies is an important subject to include in the National Energy Modeling System (NEMS). This report summarizes a study to develop an E85 choice model for NEMS. Using the most recent data from the states of Minnesota, North Dakota, and Iowa, this study estimates a logit model that represents E85 choice as a function of prices of E10 and E85, as well as fuel availability of E85 relative to gasoline. Using more recent data than previous studies allows a better estimation of non-fleet demand and indicates that the price elasticity of E85 choice appears to be higher than previously estimated. Based on the results of the econometric analysis, a model for projecting E85 demand at the regional level is specified. In testing, the model produced plausible predictions of US E85 demand to 2040.

  4. THE GREATER TORONTO AREA TRAVEL DEMAND MODELLING SYSTEM

    E-Print Network [OSTI]

    Toronto, University of

    by the then Metropolitan Toronto Planning Department and the Ministry of Transportation, Ontario. Support and advice Post-Run Report 32 4.5 Base 1996 Files for Use in Post-Run Utilities 33 #12;GTA Travel Demand Modelling

  5. Detailed Modeling and Response of Demand Response Enabled Appliances

    SciTech Connect (OSTI)

    Vyakaranam, Bharat; Fuller, Jason C.

    2014-04-14

    Proper modeling of end use loads is very important in order to predict their behavior, and how they interact with the power system, including voltage and temperature dependencies, power system and load control functions, and the complex interactions that occur between devices in such an interconnected system. This paper develops multi-state time variant residential appliance models with demand response enabled capabilities in the GridLAB-DTM simulation environment. These models represent not only the baseline instantaneous power demand and energy consumption, but the control systems developed by GE Appliances to enable response to demand response signals and the change in behavior of the appliance in response to the signal. These DR enabled appliances are simulated to estimate their capability to reduce peak demand and energy consumption.

  6. The use of a new logistic regression model for predicting the outcome of pregnancies of unknown location

    E-Print Network [OSTI]

    .8, a positive predictive value of 27.5% and a negative predictive value of 99.4%. CONCLUSIONS: The logisticThe use of a new logistic regression model for predicting the outcome of pregnancies of unknown, London UK. E-mail: gcondous@hotmail.com BACKGROUND: The aim of this study was to generate and evaluate

  7. Simple variation of the logistic map as a model to invoke questions on cellular protein trafficking

    E-Print Network [OSTI]

    Sepehr Ehsani

    2012-06-25

    Many open problems in biology, as in the physical sciences, display nonlinear and 'chaotic' dynamics, which, to the extent possible, cannot be reasonably understood. Moreover, mathematical models which aim to predict/estimate unknown aspects of a biological system cannot provide more information about the set of biologically meaningful (e.g., 'hidden') states of the system than could be understood by the designer of the model ab initio. Here, the case is made for the utilization of such models to shift from a 'predictive' to a 'questioning' nature, and a simple natural-logarithm variation of the logistic polynomial map is presented that can invoke questions about protein trafficking in eukaryotic cells.

  8. Water supply and demand in an energy supply model

    SciTech Connect (OSTI)

    Abbey, D; Loose, V

    1980-12-01

    This report describes a tool for water and energy-related policy analysis, the development of a water supply and demand sector in a linear programming model of energy supply in the United States. The model allows adjustments in the input mix and plant siting in response to water scarcity. Thus, on the demand side energy conversion facilities can substitute more costly dry cooling systems for conventional evaporative systems. On the supply side groundwater and water purchased from irrigators are available as more costly alternatives to unappropriated surface water. Water supply data is developed for 30 regions in 10 Western states. Preliminary results for a 1990 energy demand scenario suggest that, at this level of spatial analysis, water availability plays a minor role in plant siting. Future policy applications of the modeling system are discussed including the evaluation of alternative patterns of synthetic fuels development.

  9. Aggregate Model for Heterogeneous Thermostatically Controlled Loads with Demand Response

    SciTech Connect (OSTI)

    Zhang, Wei; Kalsi, Karanjit; Fuller, Jason C.; Elizondo, Marcelo A.; Chassin, David P.

    2012-07-22

    Due to the potentially large number of Distributed Energy Resources (DERs) – demand response, distributed generation, distributed storage - that are expected to be deployed, it is impractical to use detailed models of these resources when integrated with the transmission system. Being able to accurately estimate the fast transients caused by demand response is especially important to analyze the stability of the system under different demand response strategies. On the other hand, a less complex model is more amenable to design feedback control strategies for the population of devices to provide ancillary services. The main contribution of this paper is to develop aggregated models for a heterogeneous population of Thermostatic Controlled Loads (TCLs) to accurately capture their collective behavior under demand response and other time varying effects of the system. The aggregated model efficiently includes statistical information of the population and accounts for a second order effect necessary to accurately capture the collective dynamic behavior. The developed aggregated models are validated against simulations of thousands of detailed building models using GridLAB-D (an open source distribution simulation software) under both steady state and severe dynamic conditions caused due to temperature set point changes.

  10. Energy Demand Modelling Introduction to the PhD project

    E-Print Network [OSTI]

    Energy Demand Modelling Introduction to the PhD project Erika Zvingilaite Risø DTU System Analysis for optimization of energy systems Environmental effects Global externalities cost of CO2 Future scenarios for the Nordic energy systems 2010, 2020, 2030, 2040, 2050 (energy-production, consumption, emissions, net costs

  11. Using Utility Information to Calibrate Customer Demand Management Behavior Models

    E-Print Network [OSTI]

    Using Utility Information to Calibrate Customer Demand Management Behavior Models Murat Fahrio ­ Madison Report PSerc 99­06 June 10, 1999 Abstract In times of stress customers can help a utility by means be optimized if the utility can estimate the outage or substitution costs of its customers. This report

  12. Modeling In situ sediment oxygen demand in the Arroyo Colorado 

    E-Print Network [OSTI]

    Kasprzak, Kevin Ray

    2001-01-01

    and are targeted for rehabilitation under the Total Maximum Daily Load (TMDL) program. In some rivers, sediment oxygen demand (SOD) accounts for as much as 50% of the total oxygen depletion, making SOD a critical element in water quality modeling studies. SOD...

  13. Logistic regression Weakly informative priors

    E-Print Network [OSTI]

    Gelman, Andrew

    Logistic regression Weakly informative priors Conclusions Bayesian generalized linear models default p #12;Logistic regression Weakly informative priors Conclusions Classical logistic regression The problem of separation Bayesian solution Logistic regression -6 -4 -2 0 2 4 6 0.00.20.40.60.81.0 y = logit

  14. New generation of software? Modeling of energy demands for residential ventilation with HTML interface

    E-Print Network [OSTI]

    Forowicz, T

    1997-01-01

    New generation of software? Modeling of energy demands for residential ventilation with HTML interface

  15. Communicating Logistics

    Office of Environmental Management (EM)

    Communicating Logistics * Delayed or nonexistent communication * Lack of consistency-follow protocols * No overarching coordination * DUF6 communication is poor * Lesson learned:...

  16. A Probabilistic Deformation Demand Model and Fragility Estimates for Asymmetric Offshore Jacket Platforms 

    E-Print Network [OSTI]

    Fallon, Michael Brooks

    2012-11-12

    to assess the deformation demand on asymmetric offshore jacket platforms subject to wave and current loadings. The probabilistic model is constructed by adding correction terms and a model error to an existing deterministic deformation demand model...

  17. Electric Water Heater Modeling and Control Strategies for Demand Response

    SciTech Connect (OSTI)

    Diao, Ruisheng; Lu, Shuai; Elizondo, Marcelo A.; Mayhorn, Ebony T.; Zhang, Yu; Samaan, Nader A.

    2012-07-22

    Abstract— Demand response (DR) has a great potential to provide balancing services at normal operating conditions and emergency support when a power system is subject to disturbances. Effective control strategies can significantly relieve the balancing burden of conventional generators and reduce investment on generation and transmission expansion. This paper is aimed at modeling electric water heaters (EWH) in households and tests their response to control strategies to implement DR. The open-loop response of EWH to a centralized signal is studied by adjusting temperature settings to provide regulation services; and two types of decentralized controllers are tested to provide frequency support following generator trips. EWH models are included in a simulation platform in DIgSILENT to perform electromechanical simulation, which contains 147 households in a distribution feeder. Simulation results show the dependence of EWH response on water heater usage . These results provide insight suggestions on the need of control strategies to achieve better performance for demand response implementation. Index Terms— Centralized control, decentralized control, demand response, electrical water heater, smart grid

  18. Value of Demand Response: Quantities from Production Cost Modeling (Presentation)

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01

    Demand response (DR) resources present a potentially important source of grid flexibility particularly on future systems with high penetrations of variable wind and solar power generation. However, managed loads in grid models are limited by data availability and modeling complexity. This presentation focuses on the value of co-optimized DR resources to provide energy and ancillary services in a production cost model. There are significant variations in the availabilities of different types of DR resources, which affect both the operational savings as well as the revenue for each DR resource. The results presented include the system-wide avoided fuel and generator start-up costs as well as the composite revenue for each DR resource by energy and operating reserves. In addition, the revenue is characterized by the capacity, energy, and units of DR enabled.

  19. A MODEL FOR THE FLEET SIZING OF DEMAND RESPONSIVE TRANSPORTATION SERVICES WITH TIME WINDOWS

    E-Print Network [OSTI]

    Dessouky, Maged

    A MODEL FOR THE FLEET SIZING OF DEMAND RESPONSIVE TRANSPORTATION SERVICES WITH TIME WINDOWS Marco a demand responsive transit service with a predetermined quality for the user in terms of waiting time models; Continuous approximation models; Paratransit services; Demand responsive transit systems. #12;3 1

  20. Space Logistics Modeling and Simulation Analysis using SpaceNet: Four Application Cases

    E-Print Network [OSTI]

    Grogan, Paul Thomas

    The future of space exploration will not be limited to sortie-style missions to single destinations. Even in present exploration taking place at the International Space Station in low-Earth orbit, logistics is complicated ...

  1. A Hierarchical Task Model for Dispatching in Computer-Assisted Demand-Responsive Paratransit Operation

    E-Print Network [OSTI]

    Dessouky, Maged

    A Hierarchical Task Model for Dispatching in Computer- Assisted Demand-Responsive Paratransit Model for Dispatching in Computer-Assisted Demand-Responsive Paratransit Operation ABSTRACT, Dispatch Training #12;1 INTRODUCTION Demand-responsive paratransit service is on the rise. For example

  2. Workshop Logistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0Photos andSeminarsDesignInLogistics Workshop Logistics

  3. A critical review of single fuel and interfuel substitution residential energy demand models

    E-Print Network [OSTI]

    Hartman, Raymond Steve

    1978-01-01

    The overall purpose of this paper is to formulate a model of residential energy demand that adequately analyzes all aspects of residential consumer energy demand behavior and properly treats the penetration of new technologies, ...

  4. Reduced-Order Modeling of Aggregated Thermostatic Loads With Demand Response

    E-Print Network [OSTI]

    Zhang, Wei

    Reduced-Order Modeling of Aggregated Thermostatic Loads With Demand Response Wei Zhang, Jianming Lian, Chin-Yao Chang, Karanjit Kalsi and Yannan Sun Abstract-- Demand Response is playing population of appliances under demand response is especially important to evaluate the effec- tiveness

  5. Aggregated Modeling and Control of Air Conditioning Loads for Demand Response

    E-Print Network [OSTI]

    Zhang, Wei

    1 Aggregated Modeling and Control of Air Conditioning Loads for Demand Response Wei Zhang, Member, IEEE Abstract--Demand response is playing an increasingly impor- tant role in the efficient loads is especially important to evaluate the effec- tiveness of various demand response strategies

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

    SciTech Connect (OSTI)

    1998-01-01

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

  7. A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu

    E-Print Network [OSTI]

    A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu , Anthony E. Brockwell to as a dynamic supply-demand model, to simultaneously capture electricity price and usage time series. This model, and Duane J. Seppi Abstract We introduce a new model for electricity prices, based on the principle

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01

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

  9. Model documentation report: Industrial sector demand module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-01-01

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects. The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2015) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of industrial output. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

  10. Gifi goes Logistic

    E-Print Network [OSTI]

    Jan de Leeuw

    2011-01-01

    Gifi goes Logistic cs atisti StUcla Gifi Goes Logistic Jan de Leeuw Abstract The techniquesalternative system here using logistic likelihood functions,

  11. Gifi goes Logistic

    E-Print Network [OSTI]

    Leeuw, Jan de

    2006-01-01

    Gifi goes Logistic cs atisti StUcla Gifi Goes Logistic Jan de Leeuw Abstract The techniquesalternative system here using logistic likelihood functions,

  12. Demand models for U.S. domestic air passenger markets

    E-Print Network [OSTI]

    Eriksen, Steven Edward

    1978-01-01

    The airline industry in recent years has suffered from the adverse effects of top level planning decisions based upon inaccurate demand forecasts. The air carriers have recognized the immediate need to develop their ...

  13. Modeling, Analysis, and Control of Demand Response Resources

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2013-01-01

    that pre-cool, rebound, or otherwise shift energy use to theexhibit almost no rebound and save some energy on DR days,min) Rebound (kW) Daily peak demand (%) Daily energy (%)

  14. Modeling, Analysis, and Control of Demand Response Resources

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01

    that pre-cool, rebound, or otherwise shift energy use to theexhibit almost no rebound and save some energy on DR days,min) Rebound (kW) Daily peak demand (%) Daily energy (%)

  15. Modeling Structural Changes in Market Demand and Supply 

    E-Print Network [OSTI]

    Park, Beom Su

    2011-10-21

    Economic events may cause structural changes in markets. To know the effect of the economic event we should analyze the structural changes in the market demand and supply. The purpose of this dissertation is to analyze the ...

  16. Stochastic capacity modeling to support demand/capacity gap planning

    E-Print Network [OSTI]

    Niles, Augusta (Augusta L.)

    2014-01-01

    Capacity strategy has established methods of dealing with uncertainty in future demand. This project advances the concept of capacity strategy under conditions of uncertainty in cases where capacity is the primary source ...

  17. Electrical ship demand modeling for future generation warships

    E-Print Network [OSTI]

    Sievenpiper, Bartholomew J. (Bartholomew Jay)

    2013-01-01

    The design of future warships will require increased reliance on accurate prediction of electrical demand as the shipboard consumption continues to rise. Current US Navy policy, codified in design standards, dictates methods ...

  18. Cogeneration System Size Optimization Constant Capacity and Constant Demand Models 

    E-Print Network [OSTI]

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

    1993-01-01

    is made up by auxiliary boilers. 2. Isolated Operation, Thermal Load Following: the system is sized to match or exceed the maximum thermal load. Any electrical load deficit is made up by auxiliary generator. 3. Electrically Baseloaded, the system... is sized to meet - or slightly exceed the minimum electrical demand. 4. Thermally Baseloaded, the system is sized to meet - or slightly exceed the minimum thermal demand. 5. Maximum Legal System Size, as determined by the Public Utilities...

  19. Workshop Logistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0Photos andSeminarsDesignIn theWorkingUsAgendaLogistics

  20. Models for estimating saturation flow and maximum demand at closely spaced intersections 

    E-Print Network [OSTI]

    Nanduri, Sreelata

    1995-01-01

    This thesis describes models for saturation flow and maximum demand at closely spaced intersections. The effects of queue interaction between these two intersections are taken into account in both models. The saturation flow model is based...

  1. The use of logistic regression to model the probability of oak wilt occurrence in the Texas hill country using forest stand and site characteristics 

    E-Print Network [OSTI]

    Dignum, David Rory

    1988-01-01

    , such as logistic regression analysis, to differentiate b G. ~f if . d d . ' f d d b d d and site characteristics. Had a significant logistic model been produced, landowners would have been able to reduce the risk of incidence through proper management. Stand...THE USE OF LOGISTIC REGRESSION TO MODEL THE PROBABILITY OF OAK MILT OCCURRENCE IN THE TEXAS HILL COUNTRY USING FOREST STAND AND SITE CHARACTERISTICS A Thesis by DAVID RORY DIGNUM Submitted to the Graduate College of Texas Afdi University...

  2. Modeling Field-level Irrigation Demands with Changing Weather and Crop Choices

    E-Print Network [OSTI]

    MardanDoost, Babak

    2015-05-31

    . The presented water budget model is capable of estimate daily water demand over space and time under predicted climate and land-use change. The model-predicted irrigation demand was developed based on crop-specific evapotranspiration, weather data, and with 2007...

  3. A Full Demand Response Model in Co-Optimized Energy and

    SciTech Connect (OSTI)

    Liu, Guodong; Tomsovic, Kevin

    2014-01-01

    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.

  4. In Proceedings of the 1999 Winter Simulation Conference, Phoenix, AZ. BPR AND LOGISTICS: THE ROLE OF COMPUTATIONAL MODELS

    E-Print Network [OSTI]

    In Proceedings of the 1999 Winter Simulation Conference, Phoenix, AZ. BPR AND LOGISTICS: THE ROLE- gistics, and the cost of logistics is roughly 10% of GDP in the US. Designing, managing, and improving indus- trial logistics systems has never been more challenging, or more critical to competitive success

  5. Repeated Auction Games and Learning Dynamics in Electronic Logistics Marketplaces

    E-Print Network [OSTI]

    Bertini, Robert L.

    Repeated Auction Games and Learning Dynamics in Electronic Logistics Marketplaces: Complexity still satisfy the customer's level of service demands. Specifically, this chapter considers the reverse

  6. Pensacola Smart Grid RFI Addressing Policy and Logistical Challenges...

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

    Logistical Challenges. Providing comment on: Consumer facing programs such as feedback, demand response, energy efficiency, and automation strategies. Pensacola Smart Grid RFI...

  7. Perspectives for logistics clusters development in Russia

    E-Print Network [OSTI]

    Tantsuyev, Andriy

    2012-01-01

    This thesis is a normative work aimed at identifying locations in Russia with high, medium and unclear potentials for logistics cluster development. As a framework this work uses four different models of logistics clusters: ...

  8. Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles

    SciTech Connect (OSTI)

    Yamaguchi, Nobuyuki; Han, Junqiao; Ghatikar, Girish; Piette, Mary Ann; Asano, Hiroshi; Kiliccote, Sila

    2009-06-28

    This paper provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. The proposed models examined their performances from the viewpoint of validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial customers who participated in the 2008 Critical Peak Pricing program including Manual and Automated Demand Response.

  9. Analytical study and cost modeling of secondary aluminum consumption for alloy producers under uncertain demands

    E-Print Network [OSTI]

    Li, Yaoqi

    2008-01-01

    A series of case studies on raw materials inventory strategy for both wrought and cast aluminum alloy productions were conducted under recourse-based modeling framework with the explicit considerations of the demand ...

  10. Smart finite state devices: A modeling framework for demand response technologies

    E-Print Network [OSTI]

    Turitsyn, Konstantin

    We introduce and analyze Markov Decision Process (MDP) machines to model individual devices which are expected to participate in future demand-response markets on distribution grids. We differentiate devices into the ...

  11. Residential energy demand modeling and the NIECS data base : an evaluation

    E-Print Network [OSTI]

    Cowing, Thomas G.

    1982-01-01

    The purpose of this report is to evaluate the 1978-79 National Interim Energy Consumption Survey (NIECS) data base in terms of its usefulness for estimating residential energy demand models based on household appliance ...

  12. A Model for Estimating Demand for Irrigation Water on the Texas High Plains 

    E-Print Network [OSTI]

    Condra, G. D.; Lacewell, R. D.; Sprott, J. M.; Adams, B. M.

    1975-01-01

    and soybeans. Inputs that can be evaluated include irrigation water, natural gas, diesel, nitrogen fertilizer and herbicides. The primary focus of this work was to estimate the demand for irrigation water in the study area. The model was applied using...

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

    SciTech Connect (OSTI)

    NONE

    1995-02-01

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

  14. THE GREATER TORONTO AREA TRAVEL DEMAND MODELLING SYSTEM

    E-Print Network [OSTI]

    Toronto, University of

    . Miller Bahen-Tanenbaum Professor Department of Civil Engineering University of Toronto Joint Program Distribution 32 4.5.3 Mode Split 32 4.6 Modelling Socio-Economic Attributes 32 #12;4 TABLE OF CONTENTS, cont with a basic understanding of what the model does, the key assumptions upon which the model is built

  15. Transportation Sector Demand Module of the National Energy Modeling System: Model Documentation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of the National Energy Modeling System: Model Documentation

  16. A Model of Household Demand for Activity Participation and Mobility

    E-Print Network [OSTI]

    Golob, Thomas F.

    1996-01-01

    T.F. R. Kitamura and C. Lula (1994) “Modeling the Effects ofGolob, Kitamura and Lula, 1994) to modify a conventional

  17. Modeling of Electric Water Heaters for Demand Response: A Baseline PDE Model

    SciTech Connect (OSTI)

    Xu, Zhijie; Diao, Ruisheng; Lu, Shuai; Lian, Jianming; Zhang, Yu

    2014-09-05

    Demand response (DR)control can effectively relieve balancing and frequency regulation burdens on conventional generators, facilitate integrating more renewable energy, and reduce generation and transmission investments needed to meet peak demands. Electric water heaters (EWHs) have a great potential in implementing DR control strategies because: (a) the EWH power consumption has a high correlation with daily load patterns; (b) they constitute a significant percentage of domestic electrical load; (c) the heating element is a resistor, without reactive power consumption; and (d) they can be used as energy storage devices when needed. Accurately modeling the dynamic behavior of EWHs is essential for designing DR controls. Various water heater models, simplified to different extents, were published in the literature; however, few of them were validated against field measurements, which may result in inaccuracy when implementing DR controls. In this paper, a partial differential equation physics-based model, developed to capture detailed temperature profiles at different tank locations, is validated against field test data for more than 10 days. The developed model shows very good performance in capturing water thermal dynamics for benchmark testing purposes

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

    E-Print Network [OSTI]

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

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

    SciTech Connect (OSTI)

    1997-01-01

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

  20. Development and Validation of Aggregated Models for Thermostatic Controlled Loads with Demand Response

    SciTech Connect (OSTI)

    Kalsi, Karanjit; Elizondo, Marcelo A.; Fuller, Jason C.; Lu, Shuai; Chassin, David P.

    2012-01-04

    Demand response is playing an increasingly important role in smart grid research and technologies being examined in recently undertaken demonstration projects. The behavior of load as it is affected by various load control strategies is important to understanding the degree to which different classes of end-use load can contribute to demand response programs at various times. This paper focuses on developing aggregated control models for a population of thermostatically controlled loads. The effects of demand response on the load population dynamics are investigated.

  1. FUTURE LOGISTICS LIVING LABORATORY

    E-Print Network [OSTI]

    Heiser, Gernot

    FUTURE LOGISTICS LIVING LABORATORY Delivering Innovation The Future Logistics Living Lab that will provide logistics solutions for the future. The Living Lab is a demonstration, exhibition and work space by a group of logistics companies, research organisations, universities, and IT providers that includes NICTA

  2. Reduced-Order Modeling of Aggregated Thermostatic Loads With Demand Response

    SciTech Connect (OSTI)

    Zhang, Wei; Lian, Jianming; Chang, Chin-Yao; Kalsi, Karanjit; Sun, Yannan

    2012-12-12

    Demand Response is playing an increasingly important role in smart grid control strategies. Modeling the behavior of populations of appliances under demand response is especially important to evaluate the effectiveness of these demand response programs. In this paper, an aggregated model is proposed for a class of Thermostatically Controlled Loads (TCLs). The model efficiently includes statistical information of the population, systematically deals with heterogeneity, and accounts for a second-order effect necessary to accurately capture the transient dynamics in the collective response. However, an accurate characterization of the collective dynamics however requires the aggregate model to have a high state space dimension. Most of the existing model reduction techniques require the stability of the underlying system which does not hold for the proposed aggregated model. In this work, a novel model reduction approach is developed for the proposed aggregated model, which can significantly reduce its complexity with small performance loss. The original and the reducedorder aggregated models are validated against simulations of thousands of detailed building models using GridLAB-D, which is a realistic open source distribution simulation software. Index Terms – demand response, aggregated model, ancillary

  3. Relay Network Design in Logistics and Telecommunications: Models and Solution Approaches 

    E-Print Network [OSTI]

    Kewcharoenwong, Panitan

    2011-08-08

    I.1. Background . . . . . . . . . . . . . . . . . . . . . . . . . 3 I.1.1. Full Truckload Transportation . . . . . . . . . . . 3 I.1.2. Telecommunications . . . . . . . . . . . . . . . . . 6 I.1.3. Motivation and Scope of the Dissertation... . . . . . . . . . . . . 69 IV.1.6. Concluding Remarks . . . . . . . . . . . . . . . . 87 IV.2. Model 2: RNDP with Link-Imbalance and Link-Capacity Constraints . . . . . . . . . . . . . . . . . . . . . . . . . . 88 IV.2.1. The Model...

  4. Hydrogen Demand and Resource Analysis (HyDRA) Model

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing Tool Fits the Bill FinancingDepartment ofPowerScenario Analysis Model (HDSAM)

  5. Residential Sector Demand Module of the National Energy Modeling System

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearby the(Dollars1.840 2.318 3.1195) Model8)3 November4)

  6. Modeling demand for electric vehicles: the effect of car users' attitudes and perceptions

    E-Print Network [OSTI]

    Bierlaire, Michel

    Modeling demand for electric vehicles: the effect of car users' attitudes and perceptions Aur Abstract The near arrival of electric vehicles on the car market generates a need for new models in order electric cars and petrol-driven ones and in particular which include the respondents' own cars

  7. The Future of Food Demand: Understanding Differences in Global Economic Models

    SciTech Connect (OSTI)

    Valin, Hugo; Sands, Ronald; van der Mensbrugghe, Dominique; Nelson, Gerald; Ahammad, Helal; Blanc, Elodie; Bodirsky, Benjamin; Fujimori, Shinichiro; Hasegawa, Tomoko; Havlik, Petr; Heyhoe, Edwina; Kyle, G. Page; Mason d'Croz, Daniel; Paltsev, S.; Rolinski, Susanne; Tabeau, Andrzej; van Meijl, Hans; von Lampe, Martin; Willenbockel, Dirk

    2014-01-01

    Understanding the capacity of agricultural systems to feed the world population under climate change requires a good prospective vision on the future development of food demand. This paper reviews modeling approaches from ten global economic models participating to the AgMIP project, in particular the demand function chosen and the set of parameters used. We compare food demand projections at the horizon 2050 for various regions and agricultural products under harmonized scenarios. Depending on models, we find for a business as usual scenario (SSP2) an increase in food demand of 59-98% by 2050, slightly higher than FAO projection (54%). The prospective for animal calories is particularly uncertain with a range of 61-144%, whereas FAO anticipates an increase by 76%. The projections reveal more sensitive to socio-economic assumptions than to climate change conditions or bioenergy development. When considering a higher population lower economic growth world (SSP3), consumption per capita drops by 9% for crops and 18% for livestock. Various assumptions on climate change in this exercise do not lead to world calorie losses greater than 6%. Divergences across models are however notable, due to differences in demand system, income elasticities specification, and response to price change in the baseline.

  8. Integration of geographic information systems and logistic multiple regression for aquatic macrophyte modeling

    SciTech Connect (OSTI)

    Narumalani, S.; Jensen, J.R.; Althausen, J.D.; Burkhalter, S.; Mackey, H.E. Jr.

    1994-06-01

    Since aquatic macrophytes have an important influence on the physical and chemical processes of an ecosystem while simultaneously affecting human activity, it is imperative that they be inventoried and managed wisely. However, mapping wetlands can be a major challenge because they are found in diverse geographic areas ranging from small tributary streams, to shrub or scrub and marsh communities, to open water lacustrian environments. In addition, the type and spatial distribution of wetlands can change dramatically from season to season, especially when nonpersistent species are present. This research, focuses on developing a model for predicting the future growth and distribution of aquatic macrophytes. This model will use a geographic information system (GIS) to analyze some of the biophysical variables that affect aquatic macrophyte growth and distribution. The data will provide scientists information on the future spatial growth and distribution of aquatic macrophytes. This study focuses on the Savannah River Site Par Pond (1,000 ha) and L Lake (400 ha) these are two cooling ponds that have received thermal effluent from nuclear reactor operations. Par Pond was constructed in 1958, and natural invasion of wetland has occurred over its 35-year history, with much of the shoreline having developed extensive beds of persistent and non-persistent aquatic macrophytes.

  9. Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance

    SciTech Connect (OSTI)

    University of California, Berkeley; Addy, Nathan; Kiliccote, Sila; Mathieu, Johanna; Callaway, Duncan S.

    2012-06-13

    Accurate evaluation of the performance of buildings participating in Demand Response (DR) programs is critical to the adoption and improvement of these programs. Typically, we calculate load sheds during DR events by comparing observed electric demand against counterfactual predictions made using statistical baseline models. Many baseline models exist and these models can produce different shed calculations. Moreover, modelers implementing the same baseline model can make different modeling implementation choices, which may affect shed estimates. In this work, using real data, we analyze the effect of different modeling implementation choices on shed predictions. We focused on five issues: weather data source, resolution of data, methods for determining when buildings are occupied, methods for aligning building data with temperature data, and methods for power outage filtering. Results indicate sensitivity to the weather data source and data filtration methods as well as an immediate potential for automation of methods to choose building occupied modes.

  10. Aggregated Modeling of Thermostatic Loads in Demand Response: A Systems and Control Perspective

    SciTech Connect (OSTI)

    Kalsi, Karanjit; Chassin, Forrest S.; Chassin, David P.

    2011-12-12

    Demand response is playing an increasingly important role in smart grid research and technologies being examined in recently undertaken demonstration projects. The behavior of load as it is affected by various load control strategies is important to understanding the degree to which different classes of end-use load can contribute to demand response programs at various times. This paper focuses on developing aggregated models for a homogeneous population of thermostatically controlled loads. The different types of loads considered in this paper include, but are not limited to, water heaters and HVAC units. The effects of demand response and user over-ride on the load population dynamics are investigated. The controllability of the developed lumped models is validated which forms the basis for designing different control strategies.

  11. Service based logistics optimization

    E-Print Network [OSTI]

    Price, Gregory D., Jr

    2014-01-01

    This thesis explores the use of a service based logistics optimization (SBLO) methodology for an inbound reverse logistics network. Currently, Quest Diagnostics solves the vehicle routing problem with time windows (VRPTW) ...

  12. The Potential for Using Transit Infrastructure for Air Freight Cargo Movement: Feasibility Analysis of Freight Train Operation Logistics, Phase II

    E-Print Network [OSTI]

    Lu, Xiao-Yun

    2015-01-01

    Freight Train Operation Logistics 6. PERFORMING ORGANIZATIONsupply chain in an urban logistics context, METRAN Nationaland A. Papson, Modeling the Logistics of FedEx International

  13. A Supply-Demand Model Based Scalable Energy Management System for Improved Energy

    E-Print Network [OSTI]

    Bhunia, Swarup

    A Supply-Demand Model Based Scalable Energy Management System for Improved Energy Utilization: sxn124@case.edu Abstract-Harvesting energy from the environment can play an important role in reducing the dependency of an electronic system to primary energy sources (i.e. AC power or battery). For reliable

  14. CliCrop: a Crop Water-Stress and Irrigation Demand Model for an Integrated

    E-Print Network [OSTI]

    CliCrop: a Crop Water-Stress and Irrigation Demand Model for an Integrated Global Assessment Blanc and C. Adam Schlosser Report No. 214 April 2012 #12;The MIT Joint Program on the Science Change Science (CGCS) and the Center for Energy and Environmental Policy Research (CEEPR). These two

  15. Modeling Framework and Validation of a Smart Grid and Demand Response System for Wind Power Integration

    SciTech Connect (OSTI)

    Broeer, Torsten; Fuller, Jason C.; Tuffner, Francis K.; Chassin, David P.; Djilali, Ned

    2014-01-31

    Electricity generation from wind power and other renewable energy sources is increasing, and their variability introduces new challenges to the power system. The emergence of smart grid technologies in recent years has seen a paradigm shift in redefining the electrical system of the future, in which controlled response of the demand side is used to balance fluctuations and intermittencies from the generation side. This paper presents a modeling framework for an integrated electricity system where loads become an additional resource. The agent-based model represents a smart grid power system integrating generators, transmission, distribution, loads and market. The model incorporates generator and load controllers, allowing suppliers and demanders to bid into a Real-Time Pricing (RTP) electricity market. The modeling framework is applied to represent a physical demonstration project conducted on the Olympic Peninsula, Washington, USA, and validation simulations are performed using actual dynamic data. Wind power is then introduced into the power generation mix illustrating the potential of demand response to mitigate the impact of wind power variability, primarily through thermostatically controlled loads. The results also indicate that effective implementation of Demand Response (DR) to assist integration of variable renewable energy resources requires a diversity of loads to ensure functionality of the overall system.

  16. Modeling the Capacity and Emissions Impacts of Reduced Electricity Demand. Part 1. Methodology and Preliminary Results.

    E-Print Network [OSTI]

    Coughlin, Katie

    2013-01-01

    Impacts of Reduced Electricity Demand. Part 1. MethodologyImpacts of Reduced Electricity Demand. Part 1. MethodologyFigure 3: Commercial electricity demand with and without the

  17. Modeling the Capacity and Emissions Impacts of Reduced Electricity Demand. Part 1. Methodology and Preliminary Results.

    E-Print Network [OSTI]

    Coughlin, Katie

    2013-01-01

    pdf. ———. 2011b. Residential Demand Module of the Nationaland the Commercial and Residential Demand Modules (DOE EIAcommercial and residential electricity demand projections

  18. Estimation of a supply and demand model for the hired farm labor market in Texas 

    E-Print Network [OSTI]

    Turley, Keith Pool

    1977-01-01

    ESTIMATION OF A SUPPLY AND DEMAND MODEL FOR THE HIRED FARM LABOR MARKET IN TEXAS A Thesis by KEITH POOL TURLEY Submitted to the Craduate College of Texas ARM University in partial fulfillment of the requirement for the degree of MASTER... Or SCIENCI. December 1977 Major Subject: Agricultural Economics ESTIMATION OF A SUPPLY AND DEMAND NODEL FOR THE HIRED FARM LABOR MARKET IN TEXAS A Thesis by KEITH POOL TURLEY Approved as to style and content by: Ch rman of Comm' tee) Member Mem r...

  19. Modeling of GE Appliances in GridLAB-D: Peak Demand Reduction

    SciTech Connect (OSTI)

    Fuller, Jason C.; Vyakaranam, Bharat GNVSR; Prakash Kumar, Nirupama; Leistritz, Sean M.; Parker, Graham B.

    2012-04-29

    The widespread adoption of demand response enabled appliances and thermostats can result in significant reduction to peak electrical demand and provide potential grid stabilization benefits. GE has developed a line of appliances that will have the capability of offering several levels of demand reduction actions based on information from the utility grid, often in the form of price. However due to a number of factors, including the number of demand response enabled appliances available at any given time, the reduction of diversity factor due to the synchronizing control signal, and the percentage of consumers who may override the utility signal, it can be difficult to predict the aggregate response of a large number of residences. The effects of these behaviors can be modeled and simulated in open-source software, GridLAB-D, including evaluation of appliance controls, improvement to current algorithms, and development of aggregate control methodologies. This report is the first in a series of three reports describing the potential of GE's demand response enabled appliances to provide benefits to the utility grid. The first report will describe the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The second and third reports will explore the potential of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation and the effects on volt-var control schemes.

  20. Aggregated Modeling and Control of Air Conditioning Loads for Demand Response

    SciTech Connect (OSTI)

    Zhang, Wei; Lian, Jianming; Chang, Chin-Yao; Kalsi, Karanjit

    2013-06-21

    Demand response is playing an increasingly important role in the efficient and reliable operation of the electric grid. Modeling the dynamic behavior of a large population of responsive loads is especially important to evaluate the effectiveness of various demand response strategies. In this paper, a highly-accurate aggregated model is developed for a population of air conditioning loads. The model effectively includes statistical information of the population, systematically deals with load heterogeneity, and accounts for second-order dynamics necessary to accurately capture the transient dynamics in the collective response. Based on the model, a novel aggregated control strategy is designed for the load population under realistic conditions. The proposed controller is fully responsive and achieves the control objective without sacrificing end-use performance. The proposed aggregated modeling and control strategies are validated through realistic simulations using GridLAB-D. Extensive simulation results indicate that the proposed approach can effectively manage a large number of air conditioning systems to provide various demand response services, such as frequency regulation and peak load reduction.

  1. Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions 

    E-Print Network [OSTI]

    Zhang, Liqing

    2011-07-01

    Peters August 2011 Major Subject: Industrial Engineering iii ABSTRACT Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions. (August 2011) Liqing Zhang, B.S.; M.S., Tsinghua University, P.R. China Chair... An Illustration of (Q,~s, ~S) Policy ( m = ? s1n?Qn C ? + 1 ) . . . . . . . . 52 5 Optimal Policies for Special Case . . . . . . . . . . . . . . . . . . . . 71 6 Influence of Parameter K . . . . . . . . . . . . . . . . . . . . . . . . 74 7 Influence...

  2. New modeling and control solutions for integrated microgrid system with respect to thermodynamics properties of generation and demand

    E-Print Network [OSTI]

    Liu, Fang-Yu, S.M. Massachusetts Institute of Technology

    2014-01-01

    This thesis investigates microgrid control stability with respect to thermodynamics behaviors of generation and demand. First, a new integrated microgrid model is introduced. This model consists of a combined cycle power ...

  3. Outsourcing Logistics in the Oil and Gas Industry 

    E-Print Network [OSTI]

    Herrera, Cristina 1988-

    2012-04-30

    The supply chain challenges that the Oil and Gas industry faces in material logistics have enlarged in the last few decades owing to an increased hydro-carbon demand. Many reasons justify the challenges, such as exploration activities which have...

  4. Examining Uncertainty in Demand Response Baseline Models and Variability in Automated Response to Dynamic Pricing

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Callaway, Duncan S.; Kiliccote, Sila

    2011-08-15

    Controlling electric loads to deliver power system services presents a number of interesting challenges. For example, changes in electricity consumption of Commercial and Industrial (C&I) facilities are usually estimated using counterfactual baseline models, and model uncertainty makes it difficult to precisely quantify control responsiveness. Moreover, C&I facilities exhibit variability in their response. This paper seeks to understand baseline model error and demand-side variability in responses to open-loop control signals (i.e. dynamic prices). Using a regression-based baseline model, we define several Demand Response (DR) parameters, which characterize changes in electricity use on DR days, and then present a method for computing the error associated with DR parameter estimates. In addition to analyzing the magnitude of DR parameter error, we develop a metric to determine how much observed DR parameter variability is attributable to real event-to-event variability versus simply baseline model error. Using data from 38 C&I facilities that participated in an automated DR program in California, we find that DR parameter errors are large. For most facilities, observed DR parameter variability is likely explained by baseline model error, not real DR parameter variability; however, a number of facilities exhibit real DR parameter variability. In some cases, the aggregate population of C&I facilities exhibits real DR parameter variability, resulting in implications for the system operator with respect to both resource planning and system stability.

  5. December 2009 ARMY MEDICAL LOGISTICS

    E-Print Network [OSTI]

    US Army Corps of Engineers

    FM 4-02.1 December 2009 ARMY MEDICAL LOGISTICS DISTRIBUTION RESTRICTION: Approved for public Medical Logistics Contents Page PREFACE...................................................................................................ix Chapter 1 OVERVIEW OF ARMY MEDICAL LOGISTICS................................................. 1-1 Section

  6. Logistic Map Potentials

    E-Print Network [OSTI]

    Thomas Curtright; Andrzej Veitia

    2010-05-27

    We develop and illustrate methods to compute all single particle potentials that underlie the logistic map, x --> sx(1-x) for 02. We illustrate the methods numerically for the cases s=5/2 and s=10/3.

  7. Better Buildings Residential Network Driving Demand Peer Exchange...

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

    Driving Demand Peer Exchange Call Series: Leveraging Holidays and Other Events Call Slides and Discussion Summary November 7, 2013 Agenda Call Logistics and Introductions ...

  8. Effective Distribution Policies Utilizing Logistics Contracting Hyun-Soo Ahn Osman Engin Alper Philip Kaminsky

    E-Print Network [OSTI]

    Kaminsky, Philip M.

    Effective Distribution Policies Utilizing Logistics Contracting Hyun-Soo Ahn · Osman Engin Alper@ieor.berkeley.edu · kaminsky@ieor.berkeley.edu Logistics outsourcing is becoming a more widely utilized practice across many of a production- distribution system with stochastic demand and logistics outsourcing. For our initial

  9. On Planning and Design of Logistics Systems for Uncertain Environments

    E-Print Network [OSTI]

    Daganzo, Carlos F.

    On Planning and Design of Logistics Systems for Uncertain Environments Carlos F. Daganzo Department and design of logistics systems when the environment in which they are to be operated cannot be modeled introduced by uncertainty in the planning and design of logistics systems, and (ii) to suggest approximate

  10. Smart Finite State Devices: A Modeling Framework for Demand Response Technologies

    E-Print Network [OSTI]

    Turitsyn, Konstantin; Ananyev, Maxim; Chertkov, Michael

    2011-01-01

    We introduce and analyze Markov Decision Process (MDP) machines to model individual devices which are expected to participate in future demand-response markets on distribution grids. We differentiate devices into the following four types: (a) optional loads that can be shed, e.g. light dimming; (b) deferrable loads that can be delayed, e.g. dishwashers; (c) controllable loads with inertia, e.g. thermostatically-controlled loads, whose task is to maintain an auxiliary characteristic (temperature) within pre-defined margins; and (d) storage devices that can alternate between charging and generating. Our analysis of the devices seeks to find their optimal price-taking control strategy under a given stochastic model of the distribution market.

  11. A hybrid inventory management system respondingto regular demand and surge demand

    SciTech Connect (OSTI)

    Mohammad S. Roni; Mingzhou Jin; Sandra D. Eksioglu

    2014-06-01

    This paper proposes a hybrid policy for a stochastic inventory system facing regular demand and surge demand. The combination of two different demand patterns can be observed in many areas, such as healthcare inventory and humanitarian supply chain management. The surge demand has a lower arrival rate but higher demand volume per arrival. The solution approach proposed in this paper incorporates the level crossing method and mixed integer programming technique to optimize the hybrid inventory policy with both regular orders and emergency orders. The level crossing method is applied to obtain the equilibrium distributions of inventory levels under a given policy. The model is further transformed into a mixed integer program to identify an optimal hybrid policy. A sensitivity analysis is conducted to investigate the impact of parameters on the optimal inventory policy and minimum cost. Numerical results clearly show the benefit of using the proposed hybrid inventory model. The model and solution approach could help healthcare providers or humanitarian logistics providers in managing their emergency supplies in responding to surge demands.

  12. Demand Reduction

    Office of Energy Efficiency and Renewable Energy (EERE)

    Grantees may use funds to coordinate with electricity supply companies and utilities to reduce energy demands on their power systems. These demand reduction programs are usually coordinated through...

  13. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

    World crude oil and natural gas: a demand and supply model.analysis of the demand for oil in the Middle East. EnergyEstimates elasticity of demand for crude oil, not gasoline.

  14. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

    World crude oil and natural gas: a demand and supply model.analysis of the demand for oil in the Middle East. EnergyEstimates elasticity of demand for crude oil, not gasoline.

  15. ENERGY DEMAND FORECAST METHODS REPORT

    E-Print Network [OSTI]

    ....................................................................................................1-16 Energy Consumption Data...............................................1-15 Data Sources for Energy Demand Forecasting ModelsCALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report

  16. Side-payment profitability and interacting eyeball ISPs under convex demand-response modeling congestion-sensitive applications

    E-Print Network [OSTI]

    Kesidis, George

    2011-01-01

    This paper is concerned with the issue of side payments between content providers (CPs) and Internet service (access bandwidth) providers (ISPs) in an Internet that is potentially not neutral. We herein generalize past results modeling the ISP and CP interaction as a noncooperative game in two directions. We consider different demand response models (price sensitivities) for different provider types in order to explore when side payments are profitable to the ISP. Also, we consider convex (non-linear) demand response to model demand triggered by traffic which is sensitive to access bandwidth congestion, particularly delay-sensitive interactive real-time applications. Finally, we consider a model with two competing "eyeball" ISPs with transit pricing of net traffic at their peering point to study the effects of caching remote content.

  17. Alternative Fuels, Vehicle Technologies and Urban Logistics

    E-Print Network [OSTI]

    Witt, Maggie

    2012-01-01

    Technologies and Urban Logistics Policy Note prepared byvehicle technologies, urban logistics, and VMT reduction. It

  18. The addition of a US Rare Earth Element (REE) supply-demand model improves the characterization and scope of the United States Department of Energy's effort to forecast US REE Supply and Demand

    E-Print Network [OSTI]

    Mancco, Richard

    2012-01-01

    This paper presents the development of a new US Rare Earth Element (REE) Supply-Demand Model for the explicit forecast of US REE supply and demand in the 2010 to 2025 time period. In the 2010 Department of Energy (DOE) ...

  19. Supply Chain Logistics Post Recovery Landscape

    E-Print Network [OSTI]

    Minnesota, University of

    1 Supply Chain Logistics ­ Post Recovery Landscape Freight and Logistics Symposium Center.... · Logistics Perspective · Transportation · Trucking, Rail, Ocean, River, Fuel · Global Sourcing & U.S. Logistics · Land Bridges, Inland ports, Import Warehouses, Plant Locations · Domestic Logistics · Retail

  20. A Unit Commitment Model with Demand Response for the Integration of Renewable Energies

    E-Print Network [OSTI]

    Ikeda, Yuichi; Kataoka, Kazuto; Ogimoto, Kazuhiko

    2011-01-01

    The output of renewable energy fluctuates significantly depending on weather conditions. We develop a unit commitment model to analyze requirements of the forecast output and its error for renewable energies. Our model obtains the time series for the operational state of thermal power plants that would maximize the profits of an electric power utility by taking into account both the forecast of output its error for renewable energies and the demand response of consumers. We consider a power system consisting of thermal power plants, photovoltaic systems (PV), and wind farms and analyze the effect of the forecast error on the operation cost and reserves. We confirm that the operation cost was increases with the forecast error. The effect of a sudden decrease in wind power is also analyzed. More thermal power plants need to be operated to generate power to absorb this sudden decrease in wind power. The increase in the number of operating thermal power plants within a short period does not affect the total opera...

  1. Freight Transportation Demand: Energy-Efficient Scenarios for a Low-Carbon Future

    Broader source: Energy.gov [DOE]

    Freight transportation demand is projected to grow to 27.5 billion tons in 2040, and by extrapolation, to nearly 30.2 billion tons in 2050, requiring ever-greater amounts of energy. This report describes the current and future demand for freight transportation in terms of tons and ton-miles of commodities moved by truck, rail, water, pipeline, and air freight carriers. It outlines the economic, logistics, transportation, and policy and regulatory factors that shape freight demand; the possible trends and 2050 outlook for these factors, and their anticipated effect on freight demand and related energy use.After describing federal policy actions that could influence freight demand, the report then summarizes the available analytical models for forecasting freight demand, and identifies possible areas for future action.

  2. Model Documentation Report: Industrial Sector Demand Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear JanFeet) Working4) Model

  3. Model Documentation Report: Residential Sector Demand Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear5) Model Documentation

  4. Model Documentation Report: Residential Sector Demand Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear5) Model Documentation6)

  5. Model Documentation Report: Residential Sector Demand Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear5) Model Documentation6)8)

  6. Residential Demand Module of the National Energy Modeling System: Model Documentation 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearby the(Dollars1.840 2.318 3.1195) Model8)3 November 2013

  7. Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

    SciTech Connect (OSTI)

    Dudley, Junqiao Han; Black, Doug; Apte, Mike; Piette, Mary Ann; Berkeley, Pam

    2010-05-14

    We have studied a low energy building on a campus of the University of California. It has efficient heating, ventilation, and air conditioning (HVAC) systems, consisting of a dual-fan/dual-duct variable air volume (VAV) system. As a major building on the campus, it was included in two demand response (DR) events in the summers of 2008 and 2009. With chilled water supplied by thermal energy storage in the central plant, cooling fans played a critical role during DR events. In this paper, an EnergyPlus model of the building was developed and calibrated. We compared both whole-building and HVAC fan energy consumption with model predictions to understand why demand savings in 2009 were much lower than in 2008. We also used model simulations of the study building to assess pre-cooling, a strategy that has been shown to improve demand saving and thermal comfort in many types of building. This study indicates a properly calibrated EnergyPlus model can reasonably predict demand savings from DR events and can be useful for designing or optimizing DR strategies.

  8. A DIRECT-DEMAND MODEL FOR BICYCLE COUNTS:1 THE IMPACTS OF LEVEL OF SERVICE AND OTHER FACTORS2

    E-Print Network [OSTI]

    Kockelman, Kara M.

    1 A DIRECT-DEMAND MODEL FOR BICYCLE COUNTS:1 THE IMPACTS OF LEVEL OF SERVICE AND OTHER FACTORS2 3 Keywords: Transportation Planning, Bicycle, Cycling, Bike Lanes, Traffic Counts, Level of23 Service24 25 alone. Unfortunately, most municipalities do not conduct31 comprehensive bicycle counts to determine

  9. Estimating traffic flows and environmental effects of urban commercial supply in global city logistics decision support

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    logistics decision support Jesús González Feliu Laboratoire d'Economie des Transports Frédéric Henriot for the entire urban logistics system. The model shows the relation between several aspects of commercial on representative scenarios are proposed. Introduction City logistics studies the urban part of the logistic chain

  10. American Institute of Aeronautics and Astronautics Comparative Usability Study of Two Space Logistics

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Logistics Analysis Tools Paul T. Grogan* , Chaiwoo Lee , and Olivier L. de Weck Massachusetts Institute tools to help plan and analyze logistics. To encourage their use, space logistics tools must be usable logistics analysis requires the integrated modeling of many components including launch vehicles, in- space

  11. Incorporating endogenous demand dynamics into long-term capacity expansion power system models for Developing countries

    E-Print Network [OSTI]

    Jordan, Rhonda LeNai

    2013-01-01

    This research develops a novel approach to long-term power system capacity expansion planning for developing countries by incorporating endogenous demand dynamics resulting from social processes of technology adoption. ...

  12. A finite difference model for predicting sediment oxygen demand in streams 

    E-Print Network [OSTI]

    Charbonnet, Danielle Andrea

    2003-01-01

    Sediment oxygen demand (SOD) is a significant part of the dissolved oxygen budget in waterways, comprising up to 50% in some systems. It, therefore, has the potential of having a significant impact on the environment. ...

  13. Cooling Energy Demand Evaluation by Meansof Regression Models Obtained From Dynamic Simulations 

    E-Print Network [OSTI]

    Catalina, T.; Virgone, J.

    2011-01-01

    The forecast of the energy heating/cooling demand would be a good indicator for the choice between different conception solutions according to the building characteristics and the local climate. A previous study (Catalina T. et al 2008...

  14. Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model (Released in the STEO March 1998)

    Reports and Publications (EIA)

    1998-01-01

    The blending of oxygenates, such as fuel ethanol and methyl tertiary butyl ether (MTBE), into motor gasoline has increased dramatically in the last few years because of the oxygenated and reformulated gasoline programs. Because of the significant role oxygenates now have in petroleum product markets, the Short-Term Integrated Forecasting System (STIFS) was revised to include supply and demand balances for fuel ethanol and MTBE. The STIFS model is used for producing forecasts in the Short-Term Energy Outlook. A review of the historical data sources and forecasting methodology for oxygenate production, imports, inventories, and demand is presented in this report.

  15. Ownership transfer for non-federate object and time management in developing an hla compliant logistics model.

    SciTech Connect (OSTI)

    Li, Z.

    1998-01-12

    A seaport simulation model, PORTSIM, has been developed for the Department of Defense (DOD) at Argonne National Laboratory. PORTSIM simulates the detailed processes of cargo loading and unloading in a seaport and provides throughput capability, resource utilization, and other important information on the bottlenecks in a seaport operation, which are crucial data in determining troop and equipment deployment capability. There are two key problems to solve in developing the HLA-compliant PORTSIM model. The first is the cargo object ownership transfer problem. In PORTSIM, cargo items, e.g. vehicles, containers, and pallets, are objects having asset attributes. Cargo comes to a seaport for loading or unloading. The ownership of a cargo object transfers from its carrier to the port and then from the port to a new carrier. Each owner of the cargo object is responsible for publishing and updating the attributes of the cargo object when it has the ownership. This creates a unique situation in developing the PORTSIM federate object model, that is, the ownership of the object instead of the attributes needs to be changed in handling the cargo object in the PORTSIM federate. The ownership management service provided by the current RTI does not directly address this issue. The second is the time management issue. PORTSIM is an event-driven simulation that models seaport operations over time. To make PORTSIM HLA compliant, time management must be addressed to allow for synchronization with other simulation models. This paper attempts to address these two issues and methodologies developed for solving these two problems.

  16. Reducing Logistics Footprints and Replenishment Demands: Nano-engineered

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTech ConnectSpeedingConnect(Conference) |(Patent) | SciTech ConnectRedSilica

  17. Reducing Logistics Footprints and Replenishment Demands: Nano-engineered

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTech ConnectSpeedingConnect(Conference) |(Patent) | SciTech ConnectRedSilicaSilica

  18. Automated Transportation Logistics and Analysis System (ATLAS...

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

    Packaging and Transportation Automated Transportation Logistics and Analysis System (ATLAS) Automated Transportation Logistics and Analysis System (ATLAS) The Department of...

  19. Examining Uncertainty in Demand Response Baseline Models and Variability in Automated Response to Dynamic Pricing

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01

    that pre-cool, rebound, or otherwise shift energy use to theexhibit almost no rebound and save some energy on DR days,kW) Rebound (kW) Daily Peak Demand (kW) Daily Energy (kWh) a

  20. Calibration of an EnergyPlus Building Energy Model to Assess the Impact of Demand Response Measures 

    E-Print Network [OSTI]

    Lavigne, K.; Sansregret, S.; Daoud, A.; Leclair, L. A.

    2013-01-01

    Simon Sansregret Ahmed DaoudLouis-Alexandre Leclaire CALIBRATION OF AN ENERGYPLUS BUILDING ENERGY MODEL TO ASSESS THE IMPACT OF DEMAND RESPONSE MEASURES ICEBO 2013, Montr?al Groupe ? Technologie2 ICEBO-2013 Contextualization > Hydro..., Static fan pressure, Plug load intensity, etc. > Establish an optimization plan (? ? simulated and measured profiles) ? Parameter selection and their limits ? Calibration period (annual or specific period) ? Objective function and type of algorithm...

  1. Transportation Energy Futures Series: Freight Transportation Demand: Energy-Efficient Scenarios for a Low-Carbon Future

    SciTech Connect (OSTI)

    Grenzeback, L. R.; Brown, A.; Fischer, M. J.; Hutson, N.; Lamm, C. R.; Pei, Y. L.; Vimmerstedt, L.; Vyas, A. D.; Winebrake, J. J.

    2013-03-01

    Freight transportation demand is projected to grow to 27.5 billion tons in 2040, and to nearly 30.2 billion tons in 2050. This report describes the current and future demand for freight transportation in terms of tons and ton-miles of commodities moved by truck, rail, water, pipeline, and air freight carriers. It outlines the economic, logistics, transportation, and policy and regulatory factors that shape freight demand, the trends and 2050 outlook for these factors, and their anticipated effect on freight demand. After describing federal policy actions that could influence future freight demand, the report then summarizes the capabilities of available analytical models for forecasting freight demand. This is one in a series of reports produced as a result of the Transportation Energy Futures project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for reducing GHGs and petroleum dependence related to transportation.

  2. Water demands for electricity generation in the U.S.: Modeling different scenarios for the water–energy nexus

    SciTech Connect (OSTI)

    Liu, Lu; Hejazi, Mohamad I.; Patel, Pralit L.; Kyle, G. Page; Davies, Evan; Zhou, Yuyu; Clarke, Leon E.; Edmonds, James A.

    2015-05-01

    Water withdrawal for electricity generation in the United States accounts for approximately half the total freshwater withdrawal. With steadily growing electricity demands, a changing climate, and limited water supplies in many water-scarce states, meeting future energy and water demands poses a significant socio-economic challenge. Employing an integrated modeling approach that can capture the energy-water interactions at regional and national scales is essential to improve our understanding of the key drivers that govern those interactions and the role of national policies. In this study, the Global Change Assessment Model (GCAM), a technologically-detailed integrated model of the economy, energy, agriculture and land use, water, and climate systems, was extended to model the electricity and water systems at the state level in the U.S. (GCAM-USA). GCAM-USA was employed to estimate future state-level electricity generation and consumption, and their associated water withdrawals and consumption under a set of six scenarios with extensive details on the generation fuel portfolio, cooling technology mix, and their associated water use intensities. Six scenarios of future water demands of the U.S. electric-sector were explored to investigate the implications of socioeconomics development and growing electricity demands, climate mitigation policy, the transition of cooling systems, electricity trade, and water saving technologies. Our findings include: 1) decreasing water withdrawals and substantially increasing water consumption from both climate mitigation and the conversion from open-loop to closed-loop cooling systems; 2) open trading of electricity benefiting energy scarce yet demand intensive states; 3) within state variability under different driving forces while across state homogeneity under certain driving force ; 4) a clear trade-off between water consumption and withdrawal for the electricity sector in the U.S. The paper discusses this withdrawal-consumption trade-off in the context of current national policies and regulations that favor decreasing withdrawals (increasing consumptive use), and the role of water saving technologies. The highly-resolved nature of this study both geographically and technologically provides a useful platform to address scientific and policy relevant and emerging issues at the heart of the water-energy nexus in the U.S.

  3. Supply Chain Supernetworks Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Supernetworks with Random Demands June Dong and Ding Zhang Department of Marketing of three tiers of decision-makers: the manufacturers, the distributors, and the retailers, with the demands equilibrium model with electronic commerce and with random demands for which modeling, qualitative analysis

  4. Intelligent Fleet Logistics IFL is developing technologies to helping freight, logistics

    E-Print Network [OSTI]

    Heiser, Gernot

    Intelligent Fleet Logistics IFL is developing technologies to helping freight, logistics in logistics and supply chain management. · We are seeking customers and financial partners to scale a stand

  5. Revelation on Demand Nicolas Anciaux

    E-Print Network [OSTI]

    Revelation on Demand Nicolas Anciaux 1 · Mehdi Benzine1,2 · Luc Bouganim1 · Philippe Pucheral1 "revelation on demand". Keywords: Confidentiality and privacy, Secure device, Data warehousing, Indexing model

  6. Logistic Regression and Artificial Neural Networks for Classification of Ovarian Tumors

    E-Print Network [OSTI]

    Logistic Regression and Artificial Neural Networks for Classification of Ovarian Tumors C. Lu1 , J to generate and evaluate both logistic regression models and artificial neural network (ANN) models to predict, including explorative univariate and multivariate analysis, and the development of the logistic regression

  7. LOGISTICS: A SYSTEMS ORIENTED W.M.P. van der Aalst

    E-Print Network [OSTI]

    van der Aalst, Wil

    LOGISTICS: A SYSTEMS ORIENTED APPROACH W.M.P. van der Aalst Department of Mathematics and Computing@win.tue.nl phone: ­31 40 473637 fax: ­31 40 442150 KEYWORDS: Logistics, Dynamic modelling, Petri nets, Formal specification. ABSTRACT A framework for the modelling and specification of logistic systems is presented

  8. LOGISTICS: A SYSTEMS ORIENTED W.M.P. van der Aalst

    E-Print Network [OSTI]

    van der Aalst, Wil

    LOGISTICS: A SYSTEMS ORIENTED APPROACH W.M.P. van der Aalst Department of Mathematics and Computing@win.tue.nl phone: -31 40 473637 fax: -31 40 442150 KEYWORDS: Logistics, Dynamic modelling, Petri nets, Formal specification. ABSTRACT A framework for the modelling and specification of logistic systems is presented

  9. Current Directions in Freight and Logistics Industry

    E-Print Network [OSTI]

    Minnesota, University of

    Current Directions in Freight and Logistics Industry CTS Freight and Logistics Symposium November- the-box #12;Perspective Be sure to look-up from time-to-time #12;Why Discuss Freight and Logistics....Large Part of the Economy Logistics Cost As A Percent of GDP ­ 10% Source: CSCMP State of Logistics 2007 #12

  10. The dynamics of the China logistics industry

    E-Print Network [OSTI]

    Cen, Xuepin

    2005-01-01

    As required by the WTO accession, China is opening its logistics industry to international logistics companies. What are these companies' strategies in the China market, and how are Chinese domestic logistics companies ...

  11. Center for Excellence in Logistics and Distribution

    E-Print Network [OSTI]

    Noble, James S.

    Center for Excellence in Logistics and Distribution (CELDi) James S. Noble, MU Site Director Logistics Network Design in a PBL Environment The Boeing Company Research Team: James Noble (PI), Wooseung · Reverse logistics network evaluation tool · Network configuration · Network operation Broader

  12. Logistics Outsourcing and 3PL Challenges

    E-Print Network [OSTI]

    Cheong, Michelle L.F.

    Logistics has been an important part of every economy and every business entity. The worldwide trend in globalization has led to many companies outsourcing their logistics function to Third-Party Logistics (3PL) companies, ...

  13. Center for Excellence in Logistics and Distribution

    E-Print Network [OSTI]

    Noble, James S.

    Center for Excellence in Logistics and Distribution (CELDi) A National Science Foundation sponsored providing innovative solutions for logistics and distribution excellence with our member organizations. What organizations to achieve logistics and distribution excellence by delivering meaningful, innovative

  14. Logistics clusters : prevalence and impact

    E-Print Network [OSTI]

    Rivera Virgüez, Myriam Liliana

    2014-01-01

    Governments around the world are investing significant resources in the development and expansion of logistics clusters. This dissertation analyzes the cluster phenomenon focusing on four topics. First, it develops a ...

  15. Fourteenth Annual Freight & Logistics Symposium December 2010

    E-Print Network [OSTI]

    Minnesota, University of

    Fourteenth Annual Freight & Logistics Symposium December 2010 Sustainability: Does It Make Cents social responsibility ·Transparency ·Sustainable logistics ·Fuel efficiency ·Energy efficiency ·Quality

  16. NERSC/DOE BES Requirements Workshop Logistics

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

    Logistics Workshop Logistics Goals This workshop is being organized by the Department of Energy's Office of Basic Energy Sciences and Office of Advanced Scientific Computing...

  17. NERSC/DOE ASCR Requirements Workshop Logistics

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

    Logistics Workshop Logistics Large Scale Computing and Storage Requirements for Advanced Scientific Computing Research January 5-6, 2011 Location The workshop will be held at...

  18. NERSC/DOE FES Requirements Workshop Logistics

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

    Logistics Workshop Logistics Large Scale Computing and Storage Requirements for Fusion Energy Sciences An FES ASCR NERSC Workshop August 3-4, 2010 Goals This workshop is being...

  19. Application of real options to reverse logistics process

    E-Print Network [OSTI]

    Kaga, Akihiro, 1975-

    2004-01-01

    In this thesis, real options are used to identify the optimal model for the reverse logistics process of a technology company in the circuit board business. Currently, customers return defective boards and the company ...

  20. Optimal Demand Response and Power Flow

    E-Print Network [OSTI]

    Willett, Rebecca

    Optimal Demand Response and Power Flow Steven Low Computing + Math Sciences Electrical Engineering #12;Outline Optimal demand response n With L. Chen, L. Jiang, N. Li Optimal power flow n With S. Bose;Optimal demand response Model Results n Uncorrelated demand: distributed alg n Correlated demand

  1. Modeling the Capacity and Emissions Impacts of Reduced Electricity Demand. Part 1. Methodology and Preliminary Results.

    E-Print Network [OSTI]

    Coughlin, Katie

    2013-01-01

    2011).pdf. ———. 2012a. “Annual Energy Outlook (AEO) 2012. ”2013. “Annual Energy Outlook - Model Documentation. ”forecast, the Annual Energy Outlook (AEO) (DOE EIA 2012a).

  2. A Logistic Additive Approach for Relation Prediction in Multi-relational Data

    E-Print Network [OSTI]

    Tresp, Volker

    A Logistic Additive Approach for Relation Prediction in Multi-relational Data Xueyan Jiang2 of initializing the components of a logistic ad- ditive model by matrix factorization and a phase of further-relational datasets are conducted to validate the logistic additive approach. 1 Introduction Considering the problem

  3. Logistical Computing and Internetworking: Middleware for the Use of Storage in Communication

    E-Print Network [OSTI]

    Plank, Jim

    Logistical Computing and Internetworking: Middleware for the Use of Storage in Communication Micah is at the following URL: http://www.cs.utk.edu/~plank/plank/papers/AMS2001.html Abstract The Logistical Computing and not in the network. By contrast, our concept of logistical QoS is a generalization of the typical model that permits

  4. OIM 413 Logistics and Transportation Class Time: Tuesdays and Thursdays: 10:00-11:15AM

    E-Print Network [OSTI]

    Nagurney, Anna

    OIM 413 ­ Logistics and Transportation Fall 2014 Class Time: Tuesdays and Thursdays: 10:00-11:15AM and operations management techniques have had wide success and application is transportation and logistics models and algorithms for problems in transportation and logistics. The course covers some

  5. A Model for a Linked System of Multi-Purpose Reservoirs with Stochastic Inflows and Demands 

    E-Print Network [OSTI]

    Curry, G. L.; Helm, J. C.; Clark, R. A.

    1972-01-01

    In Chapter I of this report a model of a single multi-purpose reservoir with stochastic inflows is addressed. The objective of the model is the development of an optimal operating policy for given time sequence of minimum and maximum reservoir...

  6. On the Inclusion of Energy-Shifting Demand Response in Production Cost Models: Methodology and a Case Study

    SciTech Connect (OSTI)

    O'Connell, Niamh; Hale, Elaine; Doebber, Ian; Jorgenson, Jennie

    2015-07-20

    In the context of future power system requirements for additional flexibility, demand response (DR) is an attractive potential resource. Its proponents widely laud its prospective benefits, which include enabling higher penetrations of variable renewable generation at lower cost than alternative storage technologies, and improving economic efficiency. In practice, DR from the commercial and residential sectors is largely an emerging, not a mature, resource, and its actual costs and benefits need to be studied to determine promising combinations of physical DR resource, enabling controls and communications, power system characteristics, regulatory environments, market structures, and business models. The work described in this report focuses on the enablement of such analysis from the production cost modeling perspective. In particular, we contribute a bottom-up methodology for modeling load-shifting DR in production cost models. The resulting model is sufficiently detailed to reflect the physical characteristics and constraints of the underlying flexible load, and includes the possibility of capturing diurnal and seasonal variations in the resource. Nonetheless, the model is of low complexity and thus suitable for inclusion in conventional unit commitment and market clearing algorithms. The ability to simulate DR as an operational resource on a power system over a year facilitates an assessment of its time-varying value to the power system.

  7. InDemandInDemandInDemand Energize Your Career

    E-Print Network [OSTI]

    Wolberg, George

    InDemandInDemandInDemand Energize Your Career You can join the next generation of workers who in Energy #12;#12;In Demand | 1 No, this isn't a quiz...but if you answered yes to any or all and Training Administration wants you to have this publication, In Demand: Careers in Energy. It will let you

  8. Model of medical supply demand and astronaut health for long-duration human space flight

    E-Print Network [OSTI]

    Assad, Albert

    2009-01-01

    The medical care of space crews is the primary limiting factor in the achievement of long-duration space missions. (Nicogossian 2003) The goal of this thesis was to develop a model of long-duration human space flight ...

  9. Short-Term Energy Outlook Model Documentation: Hydrocarbon Gas Liquids Supply and Demand

    Reports and Publications (EIA)

    2015-01-01

    The hydrocarbon gas liquids (ethane, propane, butanes, and natural gasoline) module of the Short-Term Energy Outlook (STEO) model is designed to provide forecasts of U.S. production, consumption, refinery inputs, net imports, and inventories.

  10. Probabilistic Seismic Demand Model and Fragility Estimates for Symmetric Rigid Blocks Subject to Rocking Motions 

    E-Print Network [OSTI]

    Bakhtiary, Esmaeel

    2013-01-15

    This thesis presents a probability model to predict the maximum rotation of rocking bodies exposed to seismic excitations given specific earthquake intensity measures. After obtaining the nonlinear equations of motion and clarification...

  11. Models and Solution Approaches for Emergency Response Network Design Integrating Supply and Demand Sides 

    E-Print Network [OSTI]

    Dalal, Jyotirmoy

    2014-12-02

    . Our model captures the trade-offs between system cost and critical time to start relief distribution, and can aid an emergency manager in strategic decision making under various uncertainties. Our third study combines the stochastic and robust...

  12. Modeling Decision of Choice Among Finite Alternative: Applications to Marketing and to Transportation Demand Theory

    E-Print Network [OSTI]

    Hauser, John R.

    A methodology to improve the effectiveness of the design of innovation is proposed based on knowledge in the fields of psychometrics, utility theory and stochastic choice modeling. It is comprised of a consumer response ...

  13. Route to chaos in generalized logistic map

    E-Print Network [OSTI]

    Rafa? Rak; Ewa Rak

    2015-02-01

    Motivated by a possibility to optimize modelling of the population evolution we postulate a generalization of the well-know logistic map. Generalized difference equation reads: \\begin{equation} x_{n+1}=rx^p_n(1-x^q_n), \\end{equation} $x\\in[0,1],\\;(p,q)>0,\\;n=0,1,2,...$, where the two new parameters $p$ and $q$ may assume any positive values. The standard logistic map thus corresponds to the case $p=q=1$. For such a generalized equation we illustrate the character of the transition from regularity to chaos as a function of $r$ for the whole spectrum of $p$ and $q$ parameters. As an example we consider the case for $p=1$ and $q=2$ both in the periodic and chaotic regime. We focus on the character of the corresponding bifurcation sequence and on the quantitative nature of the resulting attractor as well as its universal attribute (Feigenbaum constant).

  14. Logistical Networking Sharing More than the Wires

    E-Print Network [OSTI]

    Plank, Jim

    1 Logistical Networking Sharing More than the Wires Micah Beck, Terry Moore, Jim Plank, Martin: logistical networking, active networking, storage, caching, electronic mail Abstract: Logistical Networking into account all the network's underlying physical resources. In this paper we contrast Logistical and Active

  15. University of North Florida Logistics and Supply

    E-Print Network [OSTI]

    Asaithambi, Asai

    AST&L University of North Florida Logistics and Supply Chain Management Logistics and distribution skills training to begin and advance your career #12;Certification in Transportation and Logistics Cohort Program The UNF Certification in Transportation and Logistics (CTL) Cohort Program is a jointly sponsored

  16. VideoonDemandVideoonDemandVideoonDemand Video on Demand Testbed

    E-Print Network [OSTI]

    Eleftheriadis, Alexandros

    VideoonDemandVideoonDemandVideoonDemand Columbia's Video on Demand Testbed and Interoperability Experiment Columbia's Video on Demand Testbed and Interoperability Experiment S.-F. Chang and A Columbia UniversityColumbia University www.www.ctrctr..columbiacolumbia..eduedu/advent/advent #12;VideoonDemandVideoonDemandVideoonDemand

  17. VideoonDemandVideoonDemandVideoonDemand Video on Demand Testbed

    E-Print Network [OSTI]

    Eleftheriadis, Alexandros

    #12;VideoonDemandVideoonDemandVideoonDemand Columbia's Video on Demand Testbed and Interoperability Experiment Columbia's Video on Demand Testbed and Interoperability Experiment H.H. KalvaKalva, A.www.eeee..columbiacolumbia..eduedu/advent/advent #12;VideoonDemandVideoonDemandVideoonDemand VoD Testbed ArchitectureVoD Testbed Architecture Video

  18. Residential Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

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

  19. Logistical and transportation infrastructure in Asia : potential for growth and development to support increasing trade with Europe

    E-Print Network [OSTI]

    Deonás, Nikolaos, 1978-

    2004-01-01

    This thesis examines the implications of the rapid growth in demand for trade between Europe and Asia for the existing transportation network and logistical infrastructure. In general terms, technologies need to improve ...

  20. Demand Response and Open Automated Demand Response

    E-Print Network [OSTI]

    LBNL-3047E Demand Response and Open Automated Demand Response Opportunities for Data Centers G described in this report was coordinated by the Demand Response Research Center and funded by the California. Demand Response and Open Automated Demand Response Opportunities for Data Centers. California Energy

  1. FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007

    E-Print Network [OSTI]

    ......................................................................... 11 3. Demand Side Management (DSM) Program Impacts................................... 13 4. Demand Sylvia Bender Manager DEMAND ANALYSIS OFFICE Scott W. Matthews Chief Deputy Director B.B. Blevins Forecast Methods and Models ....................................................... 14 5. Demand-Side

  2. Cohen Event Logistics Application Page 1 of 2 Cohen Auditorium Event Logistics Application

    E-Print Network [OSTI]

    Tufts University

    Cohen Event Logistics Application Page 1 of 2 Rev 8/10 Cohen Auditorium Event Logistics Application Event Logistics Application Page 2 of 2 Rev 8/10 I am authorized by the aforementioned sponsor to submit

  3. CliCrop: a Crop Water-Stress and Irrigation Demand Model for an Integrated Global Assessment Model Approach

    E-Print Network [OSTI]

    Fant, C.A.

    This paper describes the use of the CliCrop model in the context of climate change general assessment

  4. EOC Title: Logistics Section Chief General Description The Logistics Section Chief is responsible for providing facilities, services, and

    E-Print Network [OSTI]

    Walker, Matthew P.

    LOGISTICS EOC Title: Logistics Section Chief General Description The Logistics Section Chief EOC operating requirements. Key Role & Responsibilities · Ensure the logistics function is carried out Staff for Complex Incidents Training for Section Chiefs · Logistics Section Chief Training #12;

  5. High Temperatures & Electricity Demand

    E-Print Network [OSTI]

    High Temperatures & Electricity Demand An Assessment of Supply Adequacy in California Trends.......................................................................................................1 HIGH TEMPERATURES AND ELECTRICITY DEMAND.....................................................................................................................7 SECTION I: HIGH TEMPERATURES AND ELECTRICITY DEMAND ..........................9 BACKGROUND

  6. Logistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCenter (LMI-EFRC)Lodging Lodging

  7. Commoditization of the third party logistics industry

    E-Print Network [OSTI]

    Manatayev, Yerlan Yergalievich, 1980-

    2004-01-01

    Third party logistics companies in the US emerged in the 1980s and have been providing valuable service for companies willing to outsource logistics. Since then the industry has been growing substantially both in terms ...

  8. Fusion Energy Sciences Review Meeting Logistics

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

    Logistics Logistics Location and Schedule The day-and-a-half workshop was held all day Tuesday, March 19 and on the morning of Wednesday, March 20, 2013. Hotel Hilton Washington...

  9. Advanced Demand Responsive Lighting

    E-Print Network [OSTI]

    Advanced Demand Responsive Lighting Host: Francis Rubinstein Demand Response Research Center demand responsive lighting systems ­ Importance of dimming ­ New wireless controls technologies · Advanced Demand Responsive Lighting (commenced March 2007) #12;Objectives · Provide up-to-date information

  10. A Periodic Solution to Impulsive Logistic Equation

    E-Print Network [OSTI]

    Gyong-Chol Kim; Hyong-Chol O; Sang-Mun Kim; Chol Kim

    2014-03-28

    In this paper is provided a new representation of periodic solution to the impulsive Logistic equation considered in [7].

  11. Multinomial Logistic Regression Ensembles This article proposes a method for multiclass classification problems using ensem-

    E-Print Network [OSTI]

    Ahn, Hongshik

    -dimensional data using the logistic regression model as a base clas- sifier. CERP is similar to random subspace (Ho classification problems using ensem- bles of multinomial logistic regression models. A multinomial logit model is used as a base classifier in ensembles from random partitions of predictors. The multinomial logit

  12. Dynamic Control of Logistics Queueing Networks

    E-Print Network [OSTI]

    Powell, Warren B.

    Dynamic Control of Logistics Queueing Networks for Large-Scale Fleet Management Warren B. Powell problems in an optimal control setting, using a novel formulation called a Logistics Queueing Network LQN management problem, called a logistics queueing network. The solution approach starts with the 1 #12

  13. VERHULST'S LOGISTIC CURVE DAVID M. BRADLEY

    E-Print Network [OSTI]

    Bradley, David

    VERHULST'S LOGISTIC CURVE DAVID M. BRADLEY 1. Introduction Students tend to regard the elongated ``S­shaped'' [3, 6, 8] logistic curve of pop­ ulation dynamics (fig. 1) as somewhat exotic, 5, 6, 7, 8, 9, 10, 11]. My purpose here is to show how the logistic curve may be derived more

  14. VERHULST'S LOGISTIC CURVE DAVID M. BRADLEY

    E-Print Network [OSTI]

    Bradley, David

    VERHULST'S LOGISTIC CURVE DAVID M. BRADLEY 1. Introduction Students tend to regard the elongated "S-shaped" [3, 6, 8] logistic curve of pop- ulation dynamics (fig. 1) as somewhat exotic. It is typically, 8, 9, 10, 11]. My purpose here is to show how the logistic curve may be derived more directly

  15. VERHULST'S LOGISTIC CURVE DAVID M. BRADLEY

    E-Print Network [OSTI]

    Bradley, David

    VERHULST'S LOGISTIC CURVE DAVID M. BRADLEY 1.Introduction Students tend to regard the elongated "S-shaped" [3, 6, 8] logistic curve here is to show how the logistic curve may be derived more directly as a simple consequence of the more

  16. Center for Excellence in Logistics and Distribution

    E-Print Network [OSTI]

    Noble, James S.

    Center for Excellence in Logistics and Distribution (CELDi) A National Science Foundation sponsored/UCRC) CELDi has the mission of enabling member organizations to achieve logistics and distribution excellence partnerships achieve logistics and distribution excellence by: 1. Solving real problems that achieve bottom

  17. Planning Organization & Logistics Deputy Director General

    E-Print Network [OSTI]

    Adin, Ron

    " Planning Organization & Logistics Deputy Director General Tel: 03 531 8553 : Fax: 03 535 4925 : P-O.Logistics@mail.biu.ac.il Bar-Ilan University, Ramat Gan 52900, Israel · www.6. , . , . #12; " Planning Organization & Logistics Deputy Director General Tel: 03 531 8553 : Fax: 03 535

  18. Toni L. Meier Director, Logistics Management Integration

    E-Print Network [OSTI]

    Toni L. Meier Director, Logistics Management Integration Department Naval Air Systems Command Ms. Meier is currently the Director, Logistics Management Integration Department. As the Director she is responsible for life cycle integrated logistics support of 3,900 Naval Aviation aircraft and weapons programs

  19. While at Paranal Arrival at Reception (Logistics)

    E-Print Network [OSTI]

    Liske, Jochen

    While at Paranal Arrival at Reception (Logistics) Meals General Health Recommendations Safety member and most of their belongings are stored in the closets and/or room. Logistics can provide youLockers in the Control Building and base camp as well as a safe in the Logistics office are available to store your

  20. International Conference: Humanitarian Logistics: Networks for Africa

    E-Print Network [OSTI]

    Nagurney, Anna

    International Conference: Humanitarian Logistics: Networks for Africa http Agnes Nyaguthie, Oxfam-GB, Pretoria, South Africa The Important Role of Humanitarian Logistics 10 in Humanitarian Logistics: A Southern African Perspective 12:20-12:40 PM Discussion #12;1:00-2:30 PM Lunch 2

  1. Center for Excellence in Logistics and Distribution

    E-Print Network [OSTI]

    Noble, James S.

    Center for Excellence in Logistics and Distribution (CELDi) James S. Noble, MU Site Director Center Designated Projects Logistics Network Design for Less-than-Truckload Consolidation Helping Green Belts Use What They Know 3 #12;Development of Logistics Efficiency Metrics Supply Chain Networks

  2. MANUFACTURING LOGISTICS RESEARCH: TAXONOMY AND DIRECTIONS

    E-Print Network [OSTI]

    Wu, David

    MANUFACTURING LOGISTICS RESEARCH: TAXONOMY AND DIRECTIONS S. DAVID WU Lehigh University, Bethlehem research directions and opportunities in manufacturing logistics based on recommendations from an NSF in manufacturing logistics by the physical entities (systems) involved, the level-of-abstraction, the focus

  3. THE PERFORMANCE OF QUEUING THEORETIC VIDEO ON DEMAND ALGORITHMS

    E-Print Network [OSTI]

    THE PERFORMANCE OF QUEUING THEORETIC VIDEO ON DEMAND ALGORITHMS BOURAS C.(1)(2), GAROFALAKIS J.(1,Greece KEYWORDS Video On Demand (VOD), Performance of Algorithms, Simulation, Modeling ABSTRACT Video On Demand on state-of-the-art technologies is Video On Demand (VOD). A Video On Demand System provides on demand

  4. Price and Non-Price Influences on Water Conservation: An Econometric Model of Aggregate Demand under Nonlinear Budget Constraint

    E-Print Network [OSTI]

    Corral, Leonardo; Fisher, Anthony C.; Hatch, Nile W.

    1999-01-01

    to urban drought in Central California, Water Re- sourcesCalifornia's water consumption in 1991, the most severe year of the drought,water demand since. the 198'7-1995 drought in Southern California.

  5. Overview of AREVA Logistics Business Unit Capabilities and Expertise...

    Office of Environmental Management (EM)

    AREVA Logistics Business Unit Capabilities and Expertise Overview of AREVA Logistics Business Unit Capabilities and Expertise Overview of AREVA Logistics Business Unit capabilities...

  6. Unintended environmental impacts of nighttime freight logistics activities

    E-Print Network [OSTI]

    Sathaye, Nakul; Harley, Robert; Madanat, Samer

    2009-01-01

    comprehensive assessments of logistics policies, which Recent Advances in City Logistics  pp.  245?258 Elsevier.  Approaches in City Logistics:  Inner?City Night Delivery.  

  7. LoDN: Logistical Distribution Network Logistical Computing and Internetworking Laboratory

    E-Print Network [OSTI]

    Plank, Jim

    LoDN: Logistical Distribution Network Logistical Computing and Internetworking Laboratory Computer, Stephen Soltesz gelas@cs.utk.edu This paper introduces the Logistical Distributed Network (LoDN) tool and popularity [1]. Logistical Networking makes it possible to deploy a globally scalable storage service

  8. Developmental Integrative BiologyLogistics Logistics management has become a source of competitive advantage and value

    E-Print Network [OSTI]

    Tarau, Paul

    Developmental Integrative BiologyLogistics Logistics management has become a source of competitive recognized as a hub of expertise in logistics and supply chain management, offering an exceptional base. The UNT Complex Logistics Systems research cluster leverages university areas of expertise

  9. A sustainable urban logistics dashboard from the perspective of a group of logistics managers

    E-Print Network [OSTI]

    Boyer, Edmond

    A sustainable urban logistics dashboard from the perspective of a group of logistics managers Laboratoire d'Economie des Transports, Lyon, France Abstract Urban logistics has now become a priority issue logistics managers, one of the categories of stakeholders given less consideration by public authorities

  10. Toledo Regional Economic PlanToledo Regional Economic Plan Transportation and LogisticsTransportation and Logistics

    E-Print Network [OSTI]

    Azad, Abdul-Majeed

    Toledo Regional Economic PlanToledo Regional Economic Plan Transportation and LogisticsTransportation and Logistics Industry SectorIndustry Sector Submitted by:Submitted by: Transportation and Logistics Working GroupTransportation and Logistics Working Group September 2009September 2009 #12;22 Transportation

  11. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

    A Joint Model of the Global Crude Oil Market and the U.S.Noureddine. 2002. World crude oil and natural gas: a demandelasticity of demand for crude oil, not gasoline. Results

  12. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

    A Joint Model of the Global Crude Oil Market and the U.S.Noureddine. 2002. World crude oil and natural gas: a demandelasticity of demand for crude oil, not gasoline. Results

  13. Reducing the demand forecast error due to the bullwhip effect in the computer processor industry

    E-Print Network [OSTI]

    Smith, Emily (Emily C.)

    2010-01-01

    Intel's current demand-forecasting processes rely on customers' demand forecasts. Customers do not revise demand forecasts as demand decreases until the last minute. Intel's current demand models provide little guidance ...

  14. 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)

    March-Leuba, S.; Jansen, J.F.; Kress, R.L.; Babcock, S.M.; Dubey, R.V.

    1992-08-01

    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.

  15. Demand Response for Ancillary Services

    SciTech Connect (OSTI)

    Alkadi, Nasr E; Starke, Michael R

    2013-01-01

    Many demand response resources are technically capable of providing ancillary services. In some cases, they can provide superior response to generators, as the curtailment of load is typically much faster than ramping thermal and hydropower plants. Analysis and quantification of demand response resources providing ancillary services is necessary to understand the resources economic value and impact on the power system. Methodologies used to study grid integration of variable generation can be adapted to the study of demand response. In the present work, we describe and illustrate a methodology to construct detailed temporal and spatial representations of the demand response resource and to examine how to incorporate those resources into power system models. In addition, the paper outlines ways to evaluate barriers to implementation. We demonstrate how the combination of these three analyses can be used to translate the technical potential for demand response providing ancillary services into a realizable potential.

  16. Industrial Fellowship in Logistics Apply the tools of logistics science to analyze, modify or rebuild the logistics system of an industry-leader

    E-Print Network [OSTI]

    Lee, Chi-Guhn

    Industrial Fellowship in Logistics Project Apply the tools of logistics science to analyze, modify or rebuild the logistics system of an industry-leader automotive supplier company. Understand the logistics of logistics network, and investigate and quantify potential savings. Design the concept of a computerized

  17. Hawaii demand-side management resource assessment. Final report, Reference Volume 4: The DBEDT DSM assessment model user`s manual

    SciTech Connect (OSTI)

    1995-04-01

    The DBEDT DSM Assessment Model (DSAM) is a spreadsheet model developed in Quattro Pro for Windows that is based on the integration of the DBEDT energy forecasting model, ENERGY 2020, with the output from the building energy use simulation model, DOE-2. DOE-2 provides DSM impact estimates for both energy and peak demand. The ``User`s Guide`` is designed to assist DBEDT staff in the operation of DSAM. Supporting information on model structure and data inputs are provided in Volumes 2 and 3 of the Final Report. DSAM is designed to provide DBEDT estimates of the potential DSM resource for each county in Hawaii by measure, program, sector, year, and levelized cost category. The results are provided for gas and electric and for both energy and peak demand. There are two main portions of DSAM, the residential sector and the commercial sector. The basic underlying logic for both sectors are the same. However, there are some modeling differences between the two sectors. The differences are primarily the result of (1) the more complex nature of the commercial sector, (2) memory limitations within Quattro Pro, and (3) the fact that the commercial sector portion of the model was written four months after the residential sector portion. The structure for both sectors essentially consists of a series of input spreadsheets, the portion of the model where the calculations are performed, and a series of output spreadsheets. The output spreadsheets contain both detailed and summary tables and graphs.

  18. Required Coordination with ITER Logistical Services Provider

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

    Project Office (USIPO) will issue Task Orders directly to the LSP for transportation, logistics, and customs clearance associated with items delivered under this Agreement. Seller...

  19. Supervisory Logistics Management Specialist | Department of Energy

    Office of Environmental Management (EM)

    serve as the Director for the Office of Operations and Readiness with responsibility for logistics management operations that involve planning, directing, implementing and...

  20. Analysis of Transportation and Logistics Challenges Affecting...

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

    The objectives of this study were to identify the transportation and logistics challenges, assess the associated impacts, and provide recommendations for strategies and specific...

  1. NERSC/DOE HEP 2012 Review Logistics

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

    Logistics Hotel Information Location The review was held at the Hilton Washington DCRockville Executive Meeting Center. Address is 1750 Rockville Pike, Rockville, Maryland, 20852....

  2. NERSC/DOE BER Requirements Meeting Logistics

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

    Logistics Hotel Information Location The workshop was held at the Hilton Washington DCRockville Executive Meeting Center. Address is 1750 Rockville Pike, Rockville, Maryland,...

  3. Addressing Energy Demand through Demand Response: International Experiences and Practices

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    of integrating demand response and energy efficiencyand D. Kathan (2009), Demand Response in U.S. ElectricityFRAMEWORKS THAT PROMOTE DEMAND RESPONSE 3.1. Demand Response

  4. Demand Response for Ancillary Services

    Broader source: Energy.gov [DOE]

    Methodologies used to study grid integration of variable generation can be adapted to the study of demand response. In the present work, we describe and implement a methodology to construct detailed temporal and spatial representations of demand response resources and to incorporate those resources into power system models. In addition, the paper outlines ways to evaluate barriers to implementation. We demonstrate how the combination of these three analyses can be used to assess economic value of the realizable potential of demand response for ancillary services.

  5. S+R Optimization in Logistics Stochastic and Robust Optimization in Logistics

    E-Print Network [OSTI]

    Erera, Alan

    S+R Optimization in Logistics Stochastic and Robust Optimization in Logistics eln irerI 1he upply@isye.gatech.edu 1/ 78 #12;S+R Optimization in Logistics Introductions eout we et qeorgi eh for W yers eserhFisyeFgtehFeduGvlerer 2/ 78 #12;S+R Optimization in Logistics Introductions eout we et qeorgi eh for W yers eserh

  6. LogisticLDA: Regularizing Latent Dirichlet Allocation by Logistic Regression

    E-Print Network [OSTI]

    : upstream and downstream models. In "upstream" models, hidden topics are generated by conditioning 160­169 #12;a document). Examples of upstream models include the Dirichlet Multinomial Regression model (DMR) (Mimno and McCallum, 2008), and the Theme Model (Li and Perona, 2005). Although upstream

  7. Decentralized demand management for water distribution 

    E-Print Network [OSTI]

    Zabolio, Dow Joseph

    1989-01-01

    OF THE DEMAND CURVE 30 31 35 39 Model Development Results 39 45 VI CONTROLLER DESIGN AND COSTS 49 Description of Controller Production and Installation Costs 49 50 VII SYSTEM EVALUATION AND ECONOMICS 53 System Response and Degree of Control... Patterns 9 Typical Winter Diurnal Patterns 10 Trace of Marginal Pump Efficiency and Hourly Demand 11 Original Demand Distribution and Possible Redistributions 33 34 40 41 43 46 12 Typical Nodal Responses to Demand Change 54 ix LIST OF TABLES...

  8. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01

    benefits of Demand Side Management (DSM) are insufficient toefficiency, demand side management (DSM) cost effectivenessResearch Center Demand Side Management Demand Side Resources

  9. Residential Demand Sector Data, Commercial Demand Sector Data, Industrial Demand Sector Data - Annual Energy Outlook 2006

    SciTech Connect (OSTI)

    2009-01-18

    Tables describing consumption and prices by sector and census division for 2006 - includes residential demand, commercial demand, and industrial demand

  10. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1992-04-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  11. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  12. Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework

    SciTech Connect (OSTI)

    Zhou, Yuyu; Clarke, Leon E.; Eom, Jiyong; Kyle, G. Page; Patel, Pralit L.; Kim, Son H.; Dirks, James A.; Jensen, Erik A.; Liu, Ying; Rice, Jennie S.; Schmidt, Laurel C.; Seiple, Timothy E.

    2014-01-01

    As long-term socioeconomic transformation and energy service expansion show large spatial heterogeneity, advanced understanding of climate impact on building energy use at the sub-national level will offer useful insights into climate policy and regional energy system planning. In this study, we presented a detailed building energy model with a U.S. state-level representation, nested in the GCAM integrated assessment framework. We projected state-level building energy demand and its spatial pattern over the century, considering the impact of climate change based on the estimates of heating and cooling degree days derived from downscaled USGS CASCaDE temperature data. The result indicates that climate change has a large impact on heating and cooling building energy and fuel use at the state level, exhibiting large spatial heterogeneity across states (ranges from -10% to +10%). The sensitivity analysis reveals that the building energy demand is subject to multiple key factors, such as the magnitude of climate change, the choice of climate models, and the growth of population and GDP, and that their relative contributions vary greatly across the space. The scale impact in building energy use modeling highlights the importance of constructing a building energy model with the spatially-explicit representation of socioeconomics, energy system development, and climate change. These findings will help the climate-based policy decision and energy system, especially utility planning related to building sector at the U.S. state and regional level facing the potential climate change.

  13. Logistic maps General systems Motivating examples in dynamical systems

    E-Print Network [OSTI]

    Climenhaga, Vaughn

    Logistic maps General systems Motivating examples in dynamical systems Vaughn Climenhaga University of Houston October 16, 2012 Vaughn Climenhaga (University of Houston) October 16, 2012 1 / 7 #12;Logistic #12;Logistic maps General systems The logistic map Logistic map: f (x) = x(1 - x) 0 4 x f(x) = 0

  14. Logistical quality of service in NetSolve , H. Casanovaa

    E-Print Network [OSTI]

    Dongarra, Jack

    Logistical quality of service in NetSolve M. Becka , H. Casanovaa , J. Dongarraa,*, T. Moorea , J logistical Quality of Service (logistical QoS). The concept of logistical QoS is a generalization to innovate. Our project focuses on the development of logistical QoS as enabling network functionality

  15. Institute of Operations Research Discrete Optimization and Logistics

    E-Print Network [OSTI]

    Al Hanbali, Ahmad

    Institute of Operations Research Discrete Optimization and Logistics 1 Prof. Dr. Stefan Nickel ­ Health Care Logistics: Overview Health Care Logistics 11/28/2013 #12;Institute of Operations Research Discrete Optimization and Logistics 2 Prof. Dr. Stefan Nickel ­ Health Care Logistics: Overview Health Care

  16. Dr. Dale S. Rogers Professor, Logistics & Supply Chain Management

    E-Print Network [OSTI]

    Lin, Xiaodong

    Dr. Dale S. Rogers Professor, Logistics & Supply Chain Management Co-Director, Center for Supply Chain Management Rutgers University Rutgers VICS Logistics Summit September 27, 2011 New Brunswick, NJ The Future of Global Logistics #12;The Future of Global Logistics Future of Global Logistics · Introduction

  17. Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01

    Performance with an EnergyPlus Model in a Low Energy CampusPerformance with an EnergyPlus Model in a Low Energy Campusevents. In this paper, an EnergyPlus model of the building

  18. Activity-based Travel Demand Model with Time-use and Microsimulation incorporating Intra-household Interactions

    E-Print Network [OSTI]

    Kim, Hee-Kyung

    2008-01-01

    production function, the optimal allocation of time tofunction, the structural model of household resource allocationfunction. Domestic production model The optimal allocation

  19. Logistic Modeling of a Religious Sect Features

    E-Print Network [OSTI]

    Ausloos, Marcel

    2013-01-01

    The financial characteristics of sects are challenging topics. The present paper concerns the Antoinist Cult community (ACC), which has appeared at the end of the 19-th century in Belgium, have had quite an expansion, and is now decaying. The historical perspective is described in an Appendix. Although surely of marginal importance in religious history, the numerical and analytic description of the ACC growth AND decay evolution per se should hopefully permit generalizations toward behaviors of other sects, with either longer life time, i.e. so called religions or churches, or to others with shorter life time. Due to the specific aims and rules of the community, in particular the lack of proselytism, and strict acceptance of only anonymous financial gifts, an indirect measure of their member number evolution can only be studied. This is done here first through the time dependence of new temple inaugurations, between 1910 and 1940. Besides, the community yearly financial reports can be analyzed. They are legal...

  20. A Fully Bayesian Bayesian Approach to Logistic Regression

    E-Print Network [OSTI]

    Shin, Joanne

    2015-01-01

    Making . . . . . 2.1 Traditional Logistic Regression . . .2.2 Fully Bayesian Logistic Regression 2.2.1 Learning theFully Bayesian (blue) Logistic Regression for three separate

  1. IRT Goodness-of-Fit Using Approaches from Logistic Regression

    E-Print Network [OSTI]

    Mair, Patrick; Reise, Steven P.; Bentler, Peter M.

    2008-01-01

    connect IRT and logistic regression, we represent the matrixApproaches from Logistic Regression us write the log-oddsApproaches from Logistic Regression Cox DR, Snell EJ (1989).

  2. Choquistic Regression: Generalizing Logistic Regression Using the Choquet Integral

    E-Print Network [OSTI]

    Hüllermeier, Eyke

    Choquistic Regression: Generalizing Logistic Regression Using the Choquet Integral Ali Fallah, called choquistic regression, which generalizes conventional logistic regression and takes advantage regression (2) Generalization to choquistic regression (3) First experimental results 2 #12;Logistic

  3. IRT Goodness-of-Fit Using Approaches from Logistic Regression

    E-Print Network [OSTI]

    Patrick Mair; Steven P. Reise; Peter M. Bentler

    2011-01-01

    connect IRT and logistic regression, we represent the matrixApproaches from Logistic Regression us write the log-oddsApproaches from Logistic Regression Cox DR, Snell EJ (1989).

  4. IS URBAN LOGISTICS POOLING VIABLE? A MULTISTAKEHOLDER MULTICRITERIA ANALYSIS

    E-Print Network [OSTI]

    Boyer, Edmond

    IS URBAN LOGISTICS POOLING VIABLE? A MULTISTAKEHOLDER MULTICRITERIA ANALYSIS Jesus Gonzalez. Urban consolidation and logistics sharing. III. Multi-stakeholder mutli-criteria methodology. A of application. V. Conclusion. ABSTRACT Collaborative transportation and logistics pooling are relatively new

  5. THE INSTITUTE OF TRANSPORT AND LOGISTICS STUDIES (ITLS)

    E-Print Network [OSTI]

    Viglas, Anastasios

    THE INSTITUTE OF TRANSPORT AND LOGISTICS STUDIES (ITLS) Aviation Management THE UNIVERSITY, terminal management and cargo logistics, supply chain management, distribution, international freight. 2002 Graduate Frederic Horst has worked as National Project Officer­ Logistics and Synergies at Veolia

  6. The impact of international logistics parks on global supply chains

    E-Print Network [OSTI]

    El Amrani, Ali (Ali El Jautei)

    2007-01-01

    With the globalization of industries since the 1980's, logistics parks have emerged as a solution for the consolidation of operations and logistics services for global companies. In the beginning, logistics parks were ...

  7. Welcome to Q?rius Field Trip Logistics

    E-Print Network [OSTI]

    Miller, Scott

    · Welcome to Q?rius · Field Trip Logistics · Getting the Most from Q?rius · Class Overview.qrius.si.edu4 FIELD TRIP LOGISTICS FIELD TRIP LOGISTICS GETTING READY · Carefully review your confirmation

  8. Towards Better Approaches To Decision Support in Logistics Problems

    E-Print Network [OSTI]

    Davidson, Ian

    Towards Better Approaches To Decision Support in Logistics Problems Ian Davidson and Ryszard a decision support framework for logistics problems. The research covers methodologies, technologies and software tools. The framework considers typical characteristics of real-world logistics problems, common

  9. Towards Better Approaches To Decision Support in Logistics Problems

    E-Print Network [OSTI]

    Davidson, Ian

    Towards Better Approaches To Decision Support in Logistics Problems Ian Davidson and Ryszard a decision support framework for logistics problems. The research covers methodologies, technologies and software tools. The framework considers typical characteristics of real­world logistics problems, common

  10. Cargo revenue management for space logistics

    E-Print Network [OSTI]

    Armar, Nii A

    2009-01-01

    This thesis covers the development of a framework for the application of revenue management, specifically capacity control, to space logistics for use in the optimization of mission cargo allocations, which in turn affect ...

  11. DEMAND INTERPROCEDURAL PROGRAM ANALYSIS

    E-Print Network [OSTI]

    Reps, Thomas W.

    1 DEMAND INTERPROCEDURAL PROGRAM ANALYSIS USING LOGIC DATABASES Thomas W. Reps Computer Sciences@cs.wisc.edu ABSTRACT This paper describes how algorithms for demand versions of inerprocedural program­ analysis for all elements of the program. This paper concerns the solution of demand versions of interprocedural

  12. Capacity Demand Power (GW)

    E-Print Network [OSTI]

    California at Davis, University of

    Capacity Demand Power (GW) Hour of the Day The "Dip" Electricity Demand in Electricity Demand Every weekday, Japan's electricity use dips about 6 GW at 12 but it also shows that: · Behavior affects naHonal electricity use in unexpected ways

  13. Demand Response Assessment INTRODUCTION

    E-Print Network [OSTI]

    Demand Response Assessment INTRODUCTION This appendix provides more detail on some of the topics raised in Chapter 4, "Demand Response" of the body of the Plan. These topics include 1. The features, advantages and disadvantages of the main options for stimulating demand response (price mechanisms

  14. Individual-level and Population-level Historical Prey Demand of San Francisco Estuary Striped Bass Using a Bioenergetics Model

    E-Print Network [OSTI]

    2012-01-01

    analysis of fish bioenergetics models. Canadian Journal ofDE, Kitchell JF. 1997. Fish bioenergetics 3.0. Madison (WI):2002. Evaluation of a mysis bioenergetics model. Journal of

  15. Smart Grid RFI: Addressing Policy and Logistical Challenges....

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

    Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the...

  16. Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical...

    Energy Savers [EERE]

    Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges Southern Company:...

  17. Steffes Corporation Smart Grid RFI: Addressing Policy and Logistical...

    Office of Environmental Management (EM)

    Steffes Corporation Smart Grid RFI: Addressing Policy and Logistical Challenges Steffes Corporation Smart Grid RFI: Addressing Policy and Logistical Challenges Steffes Corporation...

  18. Pepco Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical...

    Energy Savers [EERE]

    Pepco Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical Challenges Pepco Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical Challenges Pepco Holdings,...

  19. NBP RFI-Addressing Policy and Logistical Challenges to Smart...

    Office of Environmental Management (EM)

    NBP RFI-Addressing Policy and Logistical Challenges to Smart Grid Implementation. September 10, 2009 NBP RFI-Addressing Policy and Logistical Challenges to Smart Grid...

  20. SESUGHandbookInternational Logistics Fall 2014 -Update 01 Page: ii 1 International Logistics at Jacobs University 1

    E-Print Network [OSTI]

    Bernacchia, Alberto

    #12;SES­UG­Handbook­International Logistics Fall 2014 - Update 01 Page: ii Contents 1 International Logistics at Jacobs University 1 1.1 Preface of the International Logistics Bachelor Program . . . . . . . . . . . . . . 4 2 Requirements for a Bachelor Degree

  1. SESUGHandbookInternational Logistics Fall 2013 -Update 03 Page: ii 1 International Logistics at Jacobs University 1

    E-Print Network [OSTI]

    Bernacchia, Alberto

    #12;SES­UG­Handbook­International Logistics Fall 2013 - Update 03 Page: ii Contents 1 International Logistics at Jacobs University 1 1.1 Preface of the International Logistics Bachelor Program . . . . . . . . . . . . . . 4 2 Requirements for a Bachelor Degree

  2. Methods and Analysis for Recovery Logistics Networks with Uncertainty and Channel Selection Considerations 

    E-Print Network [OSTI]

    Hwang, Sung Ook

    2014-12-12

    In this dissertation, we develop models and methodologies for effective design and efficient operation of product recovery logistics networks. Recovery networks, employed for recycle-reuse-refurbish-remanufacture purposes, constitute an ever...

  3. Real lessons for venture capitalists in multimodal logistics systems : where does profitability come from?

    E-Print Network [OSTI]

    Veniamis, Nikolas Th

    2006-01-01

    In this thesis we review three case studies in multimodal logistics and transportation systems and analyze the reasons that lead to failure or success. We present the business idea and model of each case study and study ...

  4. Reverse logistics for consumer electronics : forecasting failures, managing inventory, and matching warranties

    E-Print Network [OSTI]

    Calmon, André du Pin

    2015-01-01

    The goal of this thesis is to describe, model, and optimize reverse logistics systems commonly used in the Consumer Electronics industry. The context and motivation for this work stem from a collaboration with an industrial ...

  5. Addressing Energy Demand through Demand Response: International Experiences and Practices

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    DECC aggregator managed portfolio automated demand responseaggregator designs their own programs, and offers demand responseaggregator is responsible for designing and implementing their own demand response

  6. Automated Demand Response and Commissioning

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

    2005-01-01

    Fully-Automated Demand Response Test in Large Facilities14in DR systems. Demand Response using HVAC in Commercialof Fully Automated Demand Response in Large Facilities”

  7. Demand Response Spinning Reserve Demonstration

    E-Print Network [OSTI]

    2007-01-01

    F) Enhanced ACP Date RAA ACP Demand Response – SpinningReserve Demonstration Demand Response – Spinning Reservesupply spinning reserve. Demand Response – Spinning Reserve

  8. Demand Response Programs for Oregon

    E-Print Network [OSTI]

    Demand Response Programs for Oregon Utilities Public Utility Commission May 2003 Public Utility ....................................................................................................................... 1 Types of Demand Response Programs............................................................................ 3 Demand Response Programs in Oregon

  9. The Inverse Variational Problem and Logistic Self-Regulated Systems

    E-Print Network [OSTI]

    A. G. Munoz S.; D. Sierra Porta; T. Soldovieri

    2003-12-10

    There exists in nature many examples of systems presenting self-limiting behaviour: population dynamics, structure engineering, Townsend's electron breakdown, nuclear decay in radioactive equilibrium, histeresis process, meteorological models, etcetera. In this work we call attention to the advantages the use of a variational formulation should provide to the study of self-regulated systems, such as a unified description of the related phenomena, further comprehension of the internal structure and symmetries of the related equations, and the determination of the equilibria points via the energy function. We study the case of logistic systems, obtaining explicitly several s-equivalent Lagrangeans corresponding to the Verhulst's equation. Some dynamical properties are discussed in the light of this approach. Expressions for the mean energy function are also obtained. Keywords: logistic equation, Verhulst's Lagrangean, self-regulated systems. PACS: 02.30.Zz, 45.20.Jj, 87.23.Cc

  10. Electricity Demand and Energy Consumption Management System

    E-Print Network [OSTI]

    Sarmiento, Juan Ojeda

    2008-01-01

    This project describes the electricity demand and energy consumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

  11. Cuckoo: Scaling Microblogging Services with Divergent Traffic Demands.

    E-Print Network [OSTI]

    Fu, Xiaoming

    Airline Pilot Demand Projections #12;What this is- A Model of Pilot Demand for United States/Destination Airline Pilot Demand SouthWest, United, AA, JetBlue, Etc Airlines with their own branded marketing Retirements (note- if they retire early it just moves up the need for their replacement and adds little demand

  12. AUTOMATION OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S.

    E-Print Network [OSTI]

    Povinelli, Richard J.

    AUTOMATION OF ENERGY DEMAND FORECASTING by Sanzad Siddique, B.S. A Thesis submitted to the Faculty OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S. Marquette University, 2013 Automation of energy demand of the energy demand forecasting are achieved by integrating nonlinear transformations within the models

  13. JOURNAL OF LATEX CLASS FILES 1 Robust Logistic Regression

    E-Print Network [OSTI]

    Hero, Alfred O.

    JOURNAL OF LATEX CLASS FILES 1 Robust Logistic Regression with Bounded Data Uncertainties Patrick L a formulation of robust logistic regression under bounded data uncertainties. The robust estimates are obtained compare the results of 1-Logistic Regression against 1-Robust Logistic Regression on a real gene

  14. Implementing Enterprise Lean A Look at Ogden Air Logistics Center

    E-Print Network [OSTI]

    Rebentisch, Dr. Eric E.

    2004-07-30

    This paper documents the enterprise-wide lean implementation effort at Ogden Air Logistics Center, Hill

  15. The Gravity of Annual Freight and Logistics Symposium

    E-Print Network [OSTI]

    Minnesota, University of

    The Gravity of Logistics 17th Annual Freight and Logistics Symposium A Summary Report | December 6 to those who want them --the "gravity" of logistics--depends on infrastructure that can support and sustainth Annual State of Logistics Report--IsThis the New Normal? Rosalyn Wilson, Senior Business Analyst

  16. URBAN LOGISTICS BY RAIL AND WATERWAYS IN FRANCE AND JAPAN

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 URBAN LOGISTICS BY RAIL AND WATERWAYS IN FRANCE AND JAPAN Main author: Diana Diziain, Greater-Est, France KEYWORDS: rail, waterways, intermodal logistics, urban freight, city logistics ABSTRACT been carried out on intermodal logistic policies at national scales. However, in urban areas, the use

  17. 1SMARTER Supply Chain Connections Third Party Logistics

    E-Print Network [OSTI]

    Minnesota, University of

    1SMARTER Supply Chain Connections Third Party Logistics: Challenges and the Speed of Change Meg Schmidt Duncan Senior Manager of Carrier Relations Koch Logistics #12;Third Party Logistics Growth · Third party logistics revenue is growing at a rate double the US GDP ­ Global Fortune 500 3PL market revenue

  18. Bachelor`s Degree Program (BSc) International Logistics

    E-Print Network [OSTI]

    Bernacchia, Alberto

    Bachelor`s Degree Program (BSc) International Logistics Management and Engineering #12;SES­UG­Handbook­International Logistics Fall 2012 - Update 02 Page: ii Contents 1 International Logistics at Jacobs University 1 1.6 The Structure of the International Logistics Bachelor Program . . . . . . . . . . . . . . 4 2 Requirements

  19. Logistics: A Step Towards Lean Construction Proceedings IGLC-7 121

    E-Print Network [OSTI]

    Tommelein, Iris D.

    Logistics: A Step Towards Lean Construction Proceedings IGLC-7 121 LOGISTICS: A STEP TOWARDS LEAN of these experimental operations with a special emphasis on site logistics, which is considered as a step towards lean WORDS Logistics, lean construction, quality, transport. 1 Head of project "Site and Industry

  20. Speech at the Logistics Anchor Madeline Bates and Rusty Bobrow

    E-Print Network [OSTI]

    Using BBN VALAD: Speech at the Logistics Anchor Desk Madeline Bates and Rusty Bobrow BBN Systems-Activated Logistics An- chor Desk), which provides a spoken language interface to a logistics information system. Logistics experts can use their natural voice to ask for different types of information or to control

  1. Projecting Electricity Demand in 2050

    SciTech Connect (OSTI)

    Hostick, Donna J.; Belzer, David B.; Hadley, Stanton W.; Markel, Tony; Marnay, Chris; Kintner-Meyer, Michael CW

    2014-07-01

    This paper describes the development of end-use electricity projections and load curves that were developed for the Renewable Electricity (RE) Futures Study (hereafter RE Futures), which explored the prospect of higher percentages (30% ? 90%) of total electricity generation that could be supplied by renewable sources in the United States. As input to RE Futures, two projections of electricity demand were produced representing reasonable upper and lower bounds of electricity demand out to 2050. The electric sector models used in RE Futures required underlying load profiles, so RE Futures also produced load profile data in two formats: 8760 hourly data for the year 2050 for the GridView model, and in 2-year increments for 17 time slices as input to the Regional Energy Deployment System (ReEDS) model. The process for developing demand projections and load profiles involved three steps: discussion regarding the scenario approach and general assumptions, literature reviews to determine readily available data, and development of the demand curves and load profiles.

  2. Exponential Demand Simulation Tool

    E-Print Network [OSTI]

    Reed, Derek D.

    2015-05-15

    Operant behavioral economics investigates the relation between environmental constraint and reinforcer consumption. The standard approach to quantifying this relation is through the use of behavioral economic demand curves. ...

  3. Managing Increased Charging Demand

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

    Managing Increased Charging Demand Carrie Giles ICF International, Supporting the Workplace Charging Challenge Workplace Charging Challenge Do you already own an EV? Are you...

  4. A DEMAND-DRIVEN APPROACH FOR EFFICIENT INTERPROCEDURAL

    E-Print Network [OSTI]

    Gupta, Rajiv

    Impact of Socially Based Demand on the Efficiency of Caching Strategy Buster O. Holzbauer a model for router visits and user demand based on social relations. We then used this model to create networks; demand model I. INTRODUCTION In recent years the number of portable devices that can use content

  5. DSC Logistics Internship/Coop Program DSC Logistics is currently starting an internship/coop program and is looking to

    E-Print Network [OSTI]

    Heller, Barbara

    DSC Logistics Internship/Coop Program DSC Logistics is currently starting an internship. Candidates with Supply Chain Management, Analytics, Transportation/Logistics, or Marketing Communications.stanley@dsclogistics.com. For more information about DSC visit www.dsclogistics.com. #12;DSC Logistics, a leading supply chain

  6. Fig. 1. Comparison of search times on original logistics problems. Fig 2. Number of variables in logistics formulas after simplification.

    E-Print Network [OSTI]

    Kautz, Henry

    Fig. 1. Comparison of search times on original logistics problems. Fig 2. Number of variables in logistics formulas after simplification. Fig. 3. Number of clauses in logistics formulas after number of clauses log.a log.b log.c #12; Fig. 4: Solution times for walksat on logistics with different

  7. Electrical Demand Management 

    E-Print Network [OSTI]

    Fetters, J. L.; Teets, S. J.

    1983-01-01

    The Demand Management Plan set forth in this paper has proven to be a viable action to reduce a 3 million per year electric bill at the Columbus Works location of Western Electric. Measures are outlined which have reduced the peak demand 5% below...

  8. Calculating Impacts of Energy Standards on Energy Demand in U.S. Buildings under Uncertainty with an Integrated Assessment Model: Technical Background Data

    SciTech Connect (OSTI)

    Scott, Michael J.; Daly, Don S.; Hathaway, John E.; Lansing, Carina S.; Liu, Ying; McJeon, Haewon C.; Moss, Richard H.; Patel, Pralit L.; Peterson, Marty J.; Rice, Jennie S.; Zhou, Yuyu

    2014-12-06

    This report presents data and assumptions employed in an application of PNNL’s Global Change Assessment Model with a newly-developed Monte Carlo analysis capability. The model is used to analyze the impacts of more aggressive U.S. residential and commercial building-energy codes and equipment standards on energy consumption and energy service costs at the state level, explicitly recognizing uncertainty in technology effectiveness and cost, socioeconomics, presence or absence of carbon prices, and climate impacts on energy demand. The report provides a summary of how residential and commercial buildings are modeled, together with assumptions made for the distributions of state–level population, Gross Domestic Product (GDP) per worker, efficiency and cost of residential and commercial energy equipment by end use, and efficiency and cost of residential and commercial building shells. The cost and performance of equipment and of building shells are reported separately for current building and equipment efficiency standards and for more aggressive standards. The report also details assumptions concerning future improvements brought about by projected trends in technology.

  9. Folded Bifurcation in Coupled Asymmetric Logistic Maps

    E-Print Network [OSTI]

    Shoichi Midorikawa; Takayuki Kubo; Taksu Cheon

    1995-12-28

    A system of coupled two logistic maps, one periodic and the other chaotic, is studied. It is found that with the variation of the coupling strength, the system displays several curious features such as the appearance of quadrupling of period, occurrence of isolated period three attractor and the coexistence of the Hopf and pitchfork bifurcations. Possible applications and extensions are discussed.

  10. CAS CS 565, Data Mining Course logistics

    E-Print Network [OSTI]

    Terzi, Evimaria

    CAS CS 565, Data Mining #12;Course logistics · Course webpage: ­ http://www.cs.bu.edu/~evimaria/cs565-11.html · Schedule: Mon ­ Wed, 2:30-4:00 · Instructor: Evimaria Terzi, evimaria@cs.bu.edu · Office@bu.edu #12;Topics to be covered (tentative) · Introduction to data mining and prototype problems · Frequent

  11. CAS CS 565, Data Mining Course logistics

    E-Print Network [OSTI]

    Terzi, Evimaria

    CAS CS 565, Data Mining #12;Course logistics · Course webpage: ­ www.cs.bu.edu/~evimaria/teaching.html · Schedule: Mon ­ Wed, 4-5:30 · Instructor: Evimaria Terzi, evimaria@cs.bu.edu · Office hours: Mon 2:30-4pm (tentative) · Introduction to data mining and prototype problems · Frequent pattern mining ­ Frequent

  12. Dynamic and Robust Capacitated Facility Location in Time Varying Demand Environments 

    E-Print Network [OSTI]

    Torres Soto, Joaquin

    2010-07-14

    This dissertation studies models for locating facilities in time varying demand environments. We describe the characteristics of the time varying demand that motivate the analysis of our location models in terms of total demand and the change...

  13. Floating offshore wind farms : demand planning & logistical challenges of electricity generation

    E-Print Network [OSTI]

    Nnadili, Christopher Dozie, 1978-

    2009-01-01

    Floating offshore wind farms are likely to become the next paradigm in electricity generation from wind energy mainly because of the near constant high wind speeds in an offshore environment as opposed to the erratic wind ...

  14. PROTOTYPE IMPLEMENTATION OF A DEMAND DRIVEN NETWORK MONITORING ARCHITECTURE

    E-Print Network [OSTI]

    Markatos, Evangelos P.

    1 An Evaluation of Communication Demand of Auction Protocols in Grid Environments MARCOS DIAS DE over other economic models. However, some auction models present drawbacks regarding the high demand of communication when applied to large-scale scenarios. In a complex Grid environment, the communication demand can

  15. Demand Dispatch-Intelligent

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

    such as wind, solar, and electric vehicles as well as dispatchable loads and microgrids. Many of these resources will be "behind-the-meter" (i.e., demand resources) and...

  16. C*-algebras associated with reversible extensions of logistic maps

    E-Print Network [OSTI]

    Kwasniewski, B K

    2010-01-01

    A construction of reversible extensions of dynamical systems which applies to arbitrary mappings (not necessarily with open range) is presented. It is based on calculating the maximal ideal space of C*-algebras that extends endomorphisms to partial automorphisms via partial isometric representations, and involves a newfound set of "parameters" (the role of parameters play chosen sets or ideals). Additionally, it is characterised as a universal object. As model examples, we give a thorough description of reversible extensions of logistic maps, and a classification of systems associated with compression of unitaries generating homeomorphisms of the circle.

  17. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

    H. , and James M. Gri¢ n. 1983. Gasoline demand in the OECDof dynamic demand for gasoline. Journal of Econometrics 77(An empirical analysis of gasoline demand in Denmark using

  18. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

    shift in the short-run price elasticity of gasoline demand.A meta-analysis of the price elasticity of gasoline demand.2007. Consumer demand un- der price uncertainty: Empirical

  19. Pattern formation and nonlocal logistic growth

    E-Print Network [OSTI]

    Nadav M. Shnerb

    2004-03-25

    Logistic growth process with nonlocal interactions is considered in one dimension. Spontaneous breakdown of translational invariance is shown to take place at some parameter region, and the bifurcation regime is identified for short and long range interactions. Domain walls between regions of different order parameter are expressed as soliton solutions of the reduced dynamics for nearest neighbor interactions. The analytic results are confirmed by numerical simulations.

  20. Infrastructure and Logistics | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof EnergyApril 2014 | Department ofInfrastructure and Logistics

  1. Numerical Chaos in a Fractional Order Logistic Map

    E-Print Network [OSTI]

    Joakim Munkhammar

    2010-11-10

    In this paper we investigate a fractional order logistic map and its discrete time dynamics. We show some basic properties of the fractional logistic map and numerically study its period-doubling route to chaos.

  2. The Defense Logistics Agency, Hydrogen-Powered Forklift Test...

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

    The Defense Logistics Agency, Hydrogen-Powered Forklift Test-Bed Brief The Defense Logistics Agency, Hydrogen-Powered Forklift Test-Bed Brief This presentation by Leo Grassilli...

  3. The Defense Logistics Agency, Hydrogen-Powered Forklift Test...

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

    Defense Logistics Agency, Hydrogen-Powered Forklift Test-Bed Brief The Defense Logistics Agency, Hydrogen-Powered Forklift Test-Bed Brief This presentation by Leo Grassilli focuses...

  4. Comparative Usability Study of Two Space Logistics Analysis Tools

    E-Print Network [OSTI]

    Lee, Chairwoo

    Future space exploration missions and campaigns will require sophisticated tools to help plan and analyze logistics. To encourage their use, space logistics tools must be usable: a design concept encompassing terms such ...

  5. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

    Sterner. 1991. Analysing gasoline demand elasticities: A2011. Measuring global gasoline and diesel price and incomeMutairi. 1995. Demand for gasoline in Kuwait: An empirical

  6. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01

    No. ER06-615-000 CAISO Demand Response Resource User Guide -8 2.1. Demand Response Provides a Range of Benefits to8 2.2. Demand Response Benefits can be Quantified in Several

  7. MAGENTA Technology: MultiAgent Systems for Industrial Logistics

    E-Print Network [OSTI]

    Woolridge, Mike

    MAGENTA Technology: Multi­Agent Systems for Industrial Logistics Jon Himoff 1 Petr Skobelev 1, and illustrate its practical use by describing a field­tested application in the area of logistics for debugging systems. The application we describe is a field­ tested scheduling/logistics system for Tankers

  8. A Literature Survey on Information Logistics Bernd Michelberger1

    E-Print Network [OSTI]

    Ulm, Universität

    . The notion of information logistics (IL) has been introduced as a new information management paradigm. Goal such as material logistics and lean management have been both adopted and adapted. Generally, IL is independentA Literature Survey on Information Logistics Bernd Michelberger1 , Ralph-Josef Andris2 , Hasan

  9. Renowned Logistics Expert to Launch Book at TRANSLOG 2012

    E-Print Network [OSTI]

    Hitchcock, Adam P.

    Renowned Logistics Expert to Launch Book at TRANSLOG 2012: Complimentary Copies with Registration Institute of Technology (MIT) Center for Transportation and Logistics will present the Canadian launch of his new book entitled "Logistics Clusters: Delivering Value and Driving Growth" at TRANSLOG 2012. Dr

  10. SCH-MGMT 597LG Humanitarian Logistics Spring 2014

    E-Print Network [OSTI]

    Nagurney, Anna

    SCH-MGMT 597LG ­ Humanitarian Logistics and Healthcare Spring 2014 Class Time: Tuesdays of people affected by them. Logistics plays a central role in all phases of disaster management and supporting humanitarian operations. The fundamental task of a logistics system is to deliver the appropriate

  11. The Value of Lead Logistics Services Oliver Schneider1

    E-Print Network [OSTI]

    Boyer, Edmond

    The Value of Lead Logistics Services Oliver Schneider1 , André Lindner2 1 ETH Zurich, Center Schindellegi, Switzerland andre.lindner@kuehne-nagel.com Abstract. Logistics Services are one of the most was developed in a collaborative action research project with a world leading provider of lead logistics

  12. Revision Date 01.11.13 PROCUREMENT SERVICES -LOGISTICS

    E-Print Network [OSTI]

    Crews, Stephen

    Revision Date 01.11.13 PROCUREMENT SERVICES - LOGISTICS Reading and Reconciling an ePro and MMD with your FACSID. Prerequisites: None Find Help: Email logistics_team@unc.edu #12;Procurement Services - Logistics Reading and Reconciling an ePro and MMD Statement Revision Date 01.11.13 Page 2 of 6 Departmental

  13. Urban logistics pooling viabililty analysis via a multicriteria multiactor method

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Urban logistics pooling viabililty analysis via a multicriteria multiactor method Jesus Gonzalez transportation and logistics pooling are relatively new concepts in research, but are very popular in practice. In the last years, collaborative transportation seems a good city logistics alternative to classical urban

  14. NASA/CP--2006214202 NASA Space Exploration Logistics Workshop

    E-Print Network [OSTI]

    de Weck, Olivier L.

    NASA/CP--2006­214202 NASA Space Exploration Logistics Workshop Proceedings January 17-18, 2006 Hanover, MD 21076-1320 #12;NASA/CP--2006­214202 NASA Space Exploration Logistics Workshop Proceedings January 17-18, 2006 Washington, DC The first Space Exploration Logistics Workshop, hosted by MIT and SOLE

  15. SCH-MGMT 597LG Humanitarian Logistics Spring 2012

    E-Print Network [OSTI]

    Nagurney, Anna

    SCH-MGMT 597LG ­ Humanitarian Logistics and Healthcare Spring 2012 Class Time: Tuesdays of people affected by them. Logistics plays a central role in all phases of disaster management and supporting humanitarian operations. The fundamental task of a logistics system is to deliver the appropriate

  16. Global Logistics Systems Adapted from an Affiliates seminar

    E-Print Network [OSTI]

    Brock, David

    Global Logistics Systems Adapted from an Affiliates seminar held at MIT on March 14-15, 2001 #12 to be entered more than 10 times #12;Edmund W. Schuster Director, MIT Affiliates Program in Logistics · The New vary from country to country? · Alliances: What are the trends in logistics alliances? · U

  17. Cargo Revenue Management for Space Logistics Nii A. Armar

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Cargo Revenue Management for Space Logistics by Nii A. Armar B.S., Aerospace Engineering for Space Logistics by Nii A. Armar Submitted to the Department of Aeronautics and Astronautics on November of revenue management, specifically capacity control, to space logistics for use in the optimization

  18. Approximate Dynamic Programming in Transportation and Logistics: A Unified Framework

    E-Print Network [OSTI]

    Powell, Warren B.

    Approximate Dynamic Programming in Transportation and Logistics: A Unified Framework Warren B Engineering Princeton University, Princeton, NJ 08544 European J. of Transportation and Logistics, Vol. 1, No optimization has enjoyed a rich place in transportation and logistics, where it repre- sents a mature field

  19. Lean Supply Chain Management Value Stream Mapping & Logistics Costs Tracking

    E-Print Network [OSTI]

    Psaltis, Demetri

    Lean Supply Chain Management Value Stream Mapping & Logistics Costs Tracking Supply Chain (physical, informational, financial) in order to have better insight on the logistics costs and the transit Stream Mapping method. The analysis is mainly focused on the global logistics and the production planning

  20. August 2009 Inbound Logistics In today's global business environment,

    E-Print Network [OSTI]

    August 2009 · Inbound Logistics In today's global business environment, it's not enough simply if you don't know what you're capable of? Inbound Logistics' inaugural 25 Green Supply Chain Partners (G, and justification for why they are a cut above. INBOUND LOGISTICS' 25GREENSUPPLY CHAINPARTNERS #12;2 0 0 9 INBOUND

  1. SCH-MGMT 597LG: Humanitarian Logistics Spring 2015

    E-Print Network [OSTI]

    Nagurney, Anna

    SCH-MGMT 597LG: Humanitarian Logistics and Healthcare Spring 2015 Class Time: Mondays of people affected by them. Logistics plays a central role in all phases of disaster management and supporting humanitarian operations. The fundamental task of a logistics system is to deliver the appropriate

  2. The Comparative Logistics Project www.ed-w.info

    E-Print Network [OSTI]

    Brock, David

    The Comparative Logistics Project www.ed-w.info The Impact of e-Commerce on the Japanese Raw Fish Supply Chain Edmund W. Schuster and Kazunari Watanabe #12;The Comparative Logistics Project www in the Japanese market #12;The Comparative Logistics Project www.ed-w.info 1. Introduction (continued) · E

  3. Optimal Demand Response Libin Jiang

    E-Print Network [OSTI]

    Optimal Demand Response Libin Jiang Steven Low Computing + Math Sciences Electrical Engineering Caltech Oct 2011 #12;Outline Caltech smart grid research Optimal demand response #12;Global trends 1

  4. Bioenergy Demand in a Market Driven Forest Economy (U.S. South...

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

    to model supply over time * Then look at the impact of various demand scenarios * Pellet demand scenarios and carbon consequences dominate current research - biofuels not so...

  5. A New Approach in Supply Chain Design: studies in reverse logistics and nonprofit settings

    E-Print Network [OSTI]

    Berenguer Falguera, Gemma

    2012-01-01

    integrated forward/reverse logistics network design.Design: studies in reverse logistics and nonprofit settingsDesign: studies in reverse logistics and nonprofit settings

  6. A New Approach in Supply Chain Design: studies in reverse logistics and nonprofit settings

    E-Print Network [OSTI]

    Berenguer Falguera, Gemma

    2012-01-01

    A. Apte. Humanitarian logistics: A new field of research andtional Journal of Logistics Research and Applications, 11:the green supply chain. Logistics Information Manage- ment,

  7. Economic Crisis and the Logistics Industry: Financial Insecurity for Warehouse Workers in the Inland Empire

    E-Print Network [OSTI]

    Bonacich, Edna; De Lara, Juan David

    2009-01-01

    Growing the SACOG Region’s Logistics Sector: How Much, HowEconomic Crisis and the Logistics Industry Acknowledgements13 Economic Crisis and the Logistics Industry: Financial

  8. Estimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand

    E-Print Network [OSTI]

    Carlini, David

    Estimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand Amos Golan* Jeffrey an almost ideal demand system for five types of meat using cross-sectional data from Mexico, where most households did not buy at least one type of meat during the survey week. The system of demands is shown

  9. Peer-Assisted On-Demand Streaming: Characterizing Demands and

    E-Print Network [OSTI]

    Li, Baochun

    Peer-Assisted On-Demand Streaming: Characterizing Demands and Optimizing Supplies Fangming Liu Abstract--Nowadays, there has been significant deployment of peer-assisted on-demand streaming services over the Internet. Two of the most unique and salient features in a peer-assisted on-demand streaming

  10. Spatial heterogeneity and the importance of patchiness in marine metapopulations: an analysis of coupled discrete logistic equations 

    E-Print Network [OSTI]

    Rank, Jeffery Aaron

    2001-01-01

    , the latter application will grow increasingly important in light of the large potential CO? sink via photosynthesis in phytoplankton. Discrete time logistic population models can be coupled to represent metapopulations of plankton. Such coupling...

  11. Autonomous Demand Response for Primary Frequency Regulation

    SciTech Connect (OSTI)

    Donnelly, Matt; Trudnowski, Daniel J.; Mattix, S.; Dagle, Jeffery E.

    2012-02-28

    The research documented within this report examines the use of autonomous demand response to provide primary frequency response in an interconnected power grid. The work builds on previous studies in several key areas: it uses a large realistic model (i.e., the interconnection of the western United States and Canada); it establishes a set of metrics that can be used to assess the effectiveness of autonomous demand response; and it independently adjusts various parameters associated with using autonomous demand response to assess effectiveness and to examine possible threats or vulnerabilities associated with the technology.

  12. Fuse Control for Demand Side Management: A Stochastic Pricing Analysis

    E-Print Network [OSTI]

    Oren, Shmuel S.

    a service contract for load curtailment. Index Terms--Demand side management, aggregated demand response Reliability Technology Solutions (CERTS) for the project Business Model for Retail Aggregation of ResponsiveFuse Control for Demand Side Management: A Stochastic Pricing Analysis Journal: IEEE Transactions

  13. EnerNOC Inc. Commercial & Industrial Demand Response

    E-Print Network [OSTI]

    © EnerNOC Inc. Commercial & Industrial Demand Response: An Overview of the Utility/Aggregator Business Model Pacific Northwest Demand Response Project April 28, 2011 #12;22 Agenda Introduction Ener #12;77 Whos EnerNOC? Market Leader in C&I Demand Response and Industrial Energy Efficiency More than

  14. User Data Forum and HPCOR Logistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 - 19PortalStatusUser Agreements UserLogistics User

  15. Logistical Multicast for Data Distribution linkbordercolor

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCenter (LMI-EFRC)Lodging Lodging MeetingLogistical Multicast

  16. Energy Demand Staff Scientist

    E-Print Network [OSTI]

    Eisen, Michael

    #12;Sources: China National Bureau of Statistics; U.S. Energy Information Administration, Annual Energy Outlook. Overview:Overview: Energy Use in China and the U.S.Energy Use in China and the U.S. 5 0Energy Demand in China Lynn Price Staff Scientist February 2, 2010 #12;Founded in 1988 Focused

  17. A tale of two houses: the human dimension of demand response enabling technology from a case study of an adaptive wireless thermostat.

    E-Print Network [OSTI]

    Peffer, Therese; Arens, Edward A; Chen, Xue; Jang, Jaehwi; Auslander, David M.

    2008-01-01

    technology to enable residential Demand Response (DR) is aalternative model for a residential demand response enablinguse it. Existing Residential Demand Response (DR) Programs

  18. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

    McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

    2008-01-01

    fraction of residential and commercial demands, leading16 Residential electricity demand endspecific residential electricity demands into electricity

  19. Demand Forecast INTRODUCTION AND SUMMARY

    E-Print Network [OSTI]

    Demand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required in electricity demand is, of course, crucial to determining the need for new electricity resources and helping of any forecast of electricity demand and developing ways to reduce the risk of planning errors

  20. International Oil Supplies and Demands. Volume 1

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world`s dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group`s thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  1. International Oil Supplies and Demands. Volume 2

    SciTech Connect (OSTI)

    Not Available

    1992-04-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world`s dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group`s thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  2. 16th Annual Freight and Logistics Symposium

    E-Print Network [OSTI]

    Minnesota, University of

    performance and results, prices and demand for oil, our ability to make acquisitions on economically-sufficiency and prices well below global levels by 2017 Source: RBN 2012 12/7/2012 10 #12;North Dakota Crude Oil. ("Dakota Plains" or the "Company") during the course of this presentation that are not historical facts

  3. Hawaii demand-side management resource assessment. Final report, Reference Volume 3 -- Residential and commercial sector DSM analyses: Detailed results from the DBEDT DSM assessment model; Part 1, Technical potential

    SciTech Connect (OSTI)

    1995-04-01

    The Hawaii Demand-Side Management Resource Assessment was the fourth of seven projects in the Hawaii Energy Strategy (HES) program. HES was designed by the Department of Business, Economic Development, and Tourism (DBEDT) to produce an integrated energy strategy for the State of Hawaii. The purpose of Project 4 was to develop a comprehensive assessment of Hawaii`s demand-side management (DSM) resources. To meet this objective, the project was divided into two phases. The first phase included development of a DSM technology database and the identification of Hawaii commercial building characteristics through on-site audits. These Phase 1 products were then used in Phase 2 to identify expected energy impacts from DSM measures in typical residential and commercial buildings in Hawaii. The building energy simulation model DOE-2.1E was utilized to identify the DSM energy impacts. More detailed information on the typical buildings and the DOE-2.1E modeling effort is available in Reference Volume 1, ``Building Prototype Analysis``. In addition to the DOE-2.1E analysis, estimates of residential and commercial sector gas and electric DSM potential for the four counties of Honolulu, Hawaii, Maui, and Kauai through 2014 were forecasted by the new DBEDT DSM Assessment Model. Results from DBEDTs energy forecasting model, ENERGY 2020, were linked with results from DOE-2.1E building energy simulation runs and estimates of DSM measure impacts, costs, lifetime, and anticipated market penetration rates in the DBEDT DSM Model. Through its algorithms, estimates of DSM potential for each forecast year were developed. Using the load shape information from the DOE-2.1E simulation runs, estimates of electric peak demand impacts were developed. Numerous tables and figures illustrating the technical potential for demand-side management are included.

  4. Anomalous synchronization threshold in coupled logistic maps

    E-Print Network [OSTI]

    C. Anteneodo; A. M. Batista; R. L. Viana

    2005-04-05

    We consider regular lattices of coupled chaotic maps. Depending on lattice size, there may exist a window in parameter space where complete synchronization is eventually attained after a transient regime. Close outside this window, an intermittent transition to synchronization occurs. While asymptotic transversal Lyapunov exponents allow to determine the synchronization threshold, the distribution of finite-time Lyapunov exponents, in the vicinity of the critical frontier, is expected to provide relevant information on phenomena such as intermittency. In this work we scrutinize the distribution of finite-time exponents when the local dynamics is ruled by the logistic map $x \\mapsto 4x(1-x)$. We obtain a theoretical estimate for the distribution of finite-time exponents, that is markedly non-Gaussian. The existence of correlations, that spoil the central limit approximation, is shown to modify the typical intermittent bursting behavior. The present scenario could apply to a wider class of systems with different local dynamics and coupling schemes.

  5. Addressing Energy Demand through Demand Response: International Experiences and Practices

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    retail regulatory authority prohibit such activity. Demand response integration into US wholesale power marketsretail or wholesale level. 17 While demand response began participating at scale in wholesale power markets

  6. What in the World Are "Feedstock Logistics"? | Department of...

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

    Logistics." After the farmer or other grower plants and maintains the crop, each energy feedstock, depending on its type, must be harvested, baled or chipped, and dried....

  7. Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical...

    Office of Environmental Management (EM)

    Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation Okaloosa Gas District Smart Grid RFI: Addressing Policy and...

  8. Smart Grid RFI: Addressing Policy and Logistical Challenges,...

    Office of Environmental Management (EM)

    Challenges, Comments from the Edison Electric Institute Smart Grid RFI: Addressing Policy and Logistical Challenges, Comments from the Edison Electric Institute The Edison Electric...

  9. Smart Grid RFI: Addressing Policy and Logistical Challenges....

    Office of Environmental Management (EM)

    Challenges. Comments of the Alliance to Save Energy. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. The Alliance to Save...

  10. Initial Comments of Honeywell, Inc. on Policy and Logistical...

    Energy Savers [EERE]

    of Honeywell, Inc. on Policy and Logistical Challenges in Implementing Smart Grid Solutions More Documents & Publications NBP RFI: Communications Requirements- Honeywell...

  11. Challenge # 2 Logistics and Compatibility with Existing Infrastructure...

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

    compatible fuels 6. How do we identify low-cost options? Challenge 2. Logistics and Compatibility with Existing Infrastructure Throughout Supply Chain EERE Business...

  12. Overview of AREVA Logistics Business Unit Capabilities and Expertise

    Office of Environmental Management (EM)

    Presentation Outline Presentation Outline Overview of AREVA Logistics Business Unit capabilities and E ti Expertise Overview of Transnuclear Inc Transportation Capabilities in the...

  13. Feedstock Supply and Logistics: Biomass as a Commodity

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

    technology. Photos: AGCO, Auburn University (top); INL (bottom) Feedstock Supply and Logistics: Biomass as a Commodity Providing biomass for conversion into high-quality biofuels,...

  14. Addressing Policy and Logistical Challenges to Smart Grid Implementati...

    Office of Environmental Management (EM)

    Grid Implementation: Comments by the Office of the Ohio Consumers' Counsel Addressing Policy and Logistical Challenges to Smart Grid Implementation: Comments by the Office of the...

  15. Addressing Policy and Logistical Challenges to Smart Grid Implementati...

    Office of Environmental Management (EM)

    Implementation: Federal Register Notice Volume 75, No. 180 - Sep. 17, 2010 Addressing Policy and Logistical Challenges to Smart Grid Implementation: Federal Register Notice Volume...

  16. Addressing Policy and Logistical Challenges to smart grid Implementati...

    Office of Environmental Management (EM)

    smart grid Implementation: eMeter Response to Department of Energy RFI Addressing Policy and Logistical Challenges to smart grid Implementation: eMeter Response to Department of...

  17. Smart Grid RFI: Addressing Policy and Logistical Challenges

    Office of Environmental Management (EM)

    via smartgridpolicy@hq.doe.gov Smart Grid Request for Information: Addressing Policy and Logistical Challenges Comments of the Alliance to Save Energy The Alliance to Save...

  18. Energy Department Announces $7 Million to Develop Advanced Logistics...

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

    Biofuels Projects to Receive up to 21 Million in Funding FDC Enterprise's Feedstock Logistics award has developed a single pass harvester, which is shown gathering corn stover...

  19. Climate policy implications for agricultural water demand

    SciTech Connect (OSTI)

    Chaturvedi, Vaibhav; Hejazi, Mohamad I.; Edmonds, James A.; Clarke, Leon E.; Kyle, G. Page; Davies, Evan; Wise, Marshall A.; Calvin, Katherine V.

    2013-03-28

    Energy, water and land are scarce resources, critical to humans. Developments in each affect the availability and cost of the others, and consequently human prosperity. Measures to limit greenhouse gas concentrations will inevitably exact dramatic changes on energy and land systems and in turn alter the character, magnitude and geographic distribution of human claims on water resources. We employ the Global Change Assessment Model (GCAM), an integrated assessment model to explore the interactions of energy, land and water systems in the context of alternative policies to limit climate change to three alternative levels: 2.5 Wm-2 (445 ppm CO2-e), 3.5 Wm-2 (535 ppm CO2-e) and 4.5 Wm-2 (645 ppm CO2-e). We explore the effects of two alternative land-use emissions mitigation policy options—one which taxes terrestrial carbon emissions equally with fossil fuel and industrial emissions, and an alternative which only taxes fossil fuel and industrial emissions but places no penalty on land-use change emissions. We find that increasing populations and economic growth could be anticipated to almost triple demand for water for agricultural systems across the century even in the absence of climate policy. In general policies to mitigate climate change increase agricultural demands for water still further, though the largest changes occur in the second half of the century, under both policy regimes. The two policies examined profoundly affected both the sources and magnitudes of the increase in irrigation water demands. The largest increases in agricultural irrigation water demand occurred in scenarios where only fossil fuel emissions were priced (but not land-use change emission) and were primarily driven by rapid expansion in bioenergy production. In these scenarios water demands were large relative to present-day total available water, calling into question whether it would be physically possible to produce the associated biomass energy. We explored the potential of improved water delivery and irrigation system efficiencies. These could potentially reduce demands substantially. However, overall demands remained high under our fossil-fuel-only tax policy. In contrast, when all carbon was priced, increases in agricultural water demands were smaller than under the fossil-fuel-only policy and were driven primarily by increased demands for water by non-biomass crops such as rice. Finally we estimate the geospatial pattern of water demands and find that regions such as China, India and other countries in south and east Asia might be expected to experience greatest increases in water demands.?

  20. Demand Dispatch-Intelligent

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2DepartmentDelta Dental Claim Form PDF iconDemand

  1. by popular demand: Addiction II

    E-Print Network [OSTI]

    Niv, Yael

    by popular demand: Addiction II PSY/NEU338:Animal learning and decision making: Psychological, size of other non-drug rewards, and cost (but ultimately the demand is inelastic, or at least

  2. Demand Response: Load Management Programs 

    E-Print Network [OSTI]

    Simon, J.

    2012-01-01

    Management Programs CATEE Conference October, 2012 Agenda Outline I. General Demand Response Definition II. General Demand Response Program Rules III. CenterPoint Commercial Program IV. CenterPoint Residential Programs V. Residential Discussion... Points Demand Response Definition of load management per energy efficiency rule 25.181: ? Load control activities that result in a reduction in peak demand, or a shifting of energy usage from a peak to an off-peak period or from high-price periods...

  3. Satisfiability of Elastic Demand in the Smart Grid

    E-Print Network [OSTI]

    Tomozei, Dan-Cristian

    2010-01-01

    We study a stochastic model of electricity production and consumption where appliances are adaptive and adjust their consumption to the available production, by delaying their demand and possibly using batteries. The model incorporates production volatility due to renewables, ramp-up time, uncertainty about actual demand versus planned production, delayed and evaporated demand due to adaptation to insufficient supply. We study whether threshold policies stabilize the system. The proofs use Markov chain theory on general state space.

  4. A Test Bed for Self-regulating Distribution Systems: Modeling Intergrated Renewable Energy and Demand Response in the GridLAB-D/MATLAB Environment

    SciTech Connect (OSTI)

    Wang, Dan; de Wit, Braydon; Parkinson, Simon; Fuller, Jason C.; Chassin, David P.; Crawford, Curran; Djilali, Ned

    2012-01-16

    This paper discusses the development of a simulation test bed permitting the study of integrated renewable energy generators and controlled distributed heat pumps operating within distribution systems. The test bed is demonstrated in this paper by addressing the important issue of the self-regulating effect of consumer-owned air-source heat pumps on the variability induced by wind power integration, particularly when coupled with increased access to demand response realized through a centralized load control strategy.

  5. Ethanol Demand in United States Gasoline Production

    SciTech Connect (OSTI)

    Hadder, G.R.

    1998-11-24

    The Oak Ridge National Laboratory (OWL) Refinery Yield Model (RYM) has been used to estimate the demand for ethanol in U.S. gasoline production in year 2010. Study cases examine ethanol demand with variations in world oil price, cost of competing oxygenate, ethanol value, and gasoline specifications. For combined-regions outside California summer ethanol demand is dominated by conventional gasoline (CG) because the premised share of reformulated gasoline (RFG) production is relatively low and because CG offers greater flexibility for blending high vapor pressure components like ethanol. Vapor pressure advantages disappear for winter CG, but total ethanol used in winter RFG remains low because of the low RFG production share. In California, relatively less ethanol is used in CG because the RFG production share is very high. During the winter in California, there is a significant increase in use of ethanol in RFG, as ethanol displaces lower-vapor-pressure ethers. Estimated U.S. ethanol demand is a function of the refiner value of ethanol. For example, ethanol demand for reference conditions in year 2010 is 2 billion gallons per year (BGY) at a refiner value of $1.00 per gallon (1996 dollars), and 9 BGY at a refiner value of $0.60 per gallon. Ethanol demand could be increased with higher oil prices, or by changes in gasoline specifications for oxygen content, sulfur content, emissions of volatile organic compounds (VOCS), and octane numbers.

  6. Chord on Demand Alberto Montresor

    E-Print Network [OSTI]

    Jelasity, Márk

    Chord on Demand Alberto Montresor University of Bologna, Italy montresor@cs.unibo.it M´ark Jelasity to solve a specific task on demand. We introduce T- CHORD, that can build a Chord network efficiently to solve a specific task on demand. Existing join protocols are not designed to handle the massive

  7. Chord on Demand Alberto Montresor

    E-Print Network [OSTI]

    Chord on Demand Alberto Montresor University of Bologna, Italy montresor@cs.unibo.it Mark Jelasity to solve a specific task on demand. We introduce T- CHORD, that can build a Chord network efficiently on demand. Existing join protocols are not designed to handle the massive concurrency involved in a jump

  8. ERCOT Demand Response Paul Wattles

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    ERCOT Demand Response Paul Wattles Senior Analyst, Market Design & Development, ERCOT Whitacre;Definitions of Demand Response · `The short-term adjustment of energy use by consumers in response to price to market or reliability conditions.' (NAESB) #12;Definitions of Demand Response · The common threads

  9. Assessment of Demand Response Resource

    E-Print Network [OSTI]

    Assessment of Demand Response Resource Potentials for PGE and Pacific Power Prepared for: Portland January 15, 2004 K:\\Projects\\2003-53 (PGE,PC) Assess Demand Response\\Report\\Revised Report_011504.doc #12;#12;quantec Assessment of Demand Response Resource Potentials for I-1 PGE and Pacific Power I. Introduction

  10. Source Recertification, Refurbishment, and Transfer Logistics

    SciTech Connect (OSTI)

    Gastelum, Zoe N.; Duckworth, Leesa L.; Greenfield, Bryce A.; Doll, Stephanie R.

    2013-09-01

    The 2012 Gap Analysis of Department of Energy Radiological Sealed Sources, Standards, and Materials for Safeguards Technology Development [1] report, and the subsequent Reconciliation of Source Needs and Surpluses across the U.S. Department of Energy National Laboratory Complex [2] report, resulted in the identification of 33 requests for nuclear or radiological sealed sources for which there was potentially available, suitable material from within the U.S. Department of Energy (DOE) complex to fill the source need. Available, suitable material was defined by DOE laboratories as material slated for excess, or that required recertification or refurbishment before being used for safeguards technology development. This report begins by outlining the logistical considerations required for the shipment of nuclear and radiological materials between DOE laboratories. Then, because of the limited need for transfer of matching sources, the report also offers considerations for an alternative approach – the shipment of safeguards equipment between DOE laboratories or technology testing centers. Finally, this report addresses repackaging needs for the two source requests for which there was available, suitable material within the DOE complex.

  11. Logistic distribution (from http://www.math.wm.edu/~leemis/chart/UDR/UDR.html) The shorthand X logistic(,) is used to indicate that the random variable X has the logistic

    E-Print Network [OSTI]

    Leemis, Larry

    Logistic distribution (from http://www.math.wm.edu/~leemis/chart/UDR/UDR.html) The shorthand X logistic(,) is used to indicate that the random variable X has the logistic distribution with parameters and . A logistic random variable X with positive scale parameter and positive shape parameter has probability

  12. The Effect of CO2 Pricing on Conventional and Non- Conventional Oil Supply and Demand

    E-Print Network [OSTI]

    Méjean, Aurélie; Hope, Chris

    demand modelling Meling (StatoilHydro) 1.6%/year No detailed demand modelling Total 1.4%/year No detailed demand modelling Exxon Mobil 1.4%/year Detailed demand modelling Energyfiles 1.8%/year Demand not modelled, exogenous rate Adapted from (UKERC... of unconventional oil and gas) “By 2015, growth in the production of easily accessible oil and gas will not match the projected rate of demand growth.” UKERC (2009b p33) ExxonMobil 2008 101 in 2030 (excl. non-conventional oil) No peak before 2030 UKERC...

  13. FROM PLANT AND LOGISTICS CONTROL TO MULTI-ENTERPRISE COLLABORATION: Milestone report of the Manufacturing & Logistics Systems Coordinating Committee

    E-Print Network [OSTI]

    Boyer, Edmond

    , product life cycles shrink, and profit margins decrease. In addition, the capital costs of manufacturing of the Manufacturing & Logistics Systems Coordinating Committee S.Y. Nofa* , G. Morelb , L. Monostoric , A. Molinad , F-765-494-1299 Abstract: Current and emerging manufacturing and logistics systems are posing new challenges

  14. Demand Response Programs, 6. edition

    SciTech Connect (OSTI)

    2007-10-15

    The report provides a look at the past, present, and future state of the market for demand/load response based upon market price signals. It is intended to provide significant value to individuals and companies who are considering participating in demand response programs, energy providers and ISOs interested in offering demand response programs, and consultants and analysts looking for detailed information on demand response technology, applications, and participants. The report offers a look at the current Demand Response environment in the energy industry by: defining what demand response programs are; detailing the evolution of program types over the last 30 years; discussing the key drivers of current initiatives; identifying barriers and keys to success for the programs; discussing the argument against subsidization of demand response; describing the different types of programs that exist including:direct load control, interruptible load, curtailable load, time-of-use, real time pricing, and demand bidding/buyback; providing examples of the different types of programs; examining the enablers of demand response programs; and, providing a look at major demand response programs.

  15. Generating Demand for Multifamily Building Upgrades | Department...

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

    Demand for Multifamily Building Upgrades Generating Demand for Multifamily Building Upgrades Better Buildings Residential Network Peer Exchange Call Series: Generating Demand for...

  16. China's Coal: Demand, Constraints, and Externalities

    E-Print Network [OSTI]

    Aden, Nathaniel

    2010-01-01

    raising transportation oil demand. Growing internationalcoal by wire could reduce oil demand by stemming coal roadEastern oil production. The rapid growth of coal demand

  17. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    of Energy demand-side management energy information systemdemand response. Demand-side management (DSM) program goalsa goal for demand-side management (DSM) coordination and

  18. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01

    3 2.1 Demand-Side Managementbuildings. The demand side management framework is discussedIssues 2.1 Demand-Side Management Framework Forecasting

  19. Home Network Technologies and Automating Demand Response

    E-Print Network [OSTI]

    McParland, Charles

    2010-01-01

    LBNL Commercial and Residential Demand Response Overview ofmarket [5]. Residential demand reduction programs have beenin the domain of residential demand response. There are a

  20. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

    Kiliccote, Sila; Global Energy Partners; Pacific Gas and Electric Company

    2008-01-01

    their partnership in demand response automation research andand Techniques for Demand Response. LBNL Report 59975. Mayof Fully Automated Demand Response in Large Facilities.

  1. Coupling Renewable Energy Supply with Deferrable Demand

    E-Print Network [OSTI]

    Papavasiliou, Anthony

    2011-01-01

    8.4 Demand Response Integration . . . . . . . . . . .for each day type for the demand response study - moderatefor each day type for the demand response study - deep

  2. Strategies for Demand Response in Commercial Buildings

    E-Print Network [OSTI]

    Watson, David S.; Kiliccote, Sila; Motegi, Naoya; Piette, Mary Ann

    2006-01-01

    Fully Automated Demand Response Tests in Large Facilities”of Fully Automated Demand Response in Large Facilities”,was coordinated by the Demand Response Research Center and

  3. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01

    2 2.0 Demand ResponseFully Automated Demand Response Tests in Large Facilities,was coordinated by the Demand Response Research Center and

  4. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    and D. Kathan (2009). Demand Response in U.S. ElectricityEnergy Financial Group. Demand Response Research Center [2008). Assessment of Demand Response and Advanced Metering.

  5. Hawaiian Electric Company Demand Response Roadmap Project

    E-Print Network [OSTI]

    Levy, Roger

    2014-01-01

    Like HECO actual utility demand response implementations canindustry-wide utility demand response applications tend toobjective. Figure 4. Demand Response Objectives 17  

  6. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01

    23 ii Retail Demand Response in SPP List of Figures and10 Figure 3. Demand Response Resources by11 Figure 4. Existing Demand Response Resources by Type of

  7. Demand Response - Policy | Department of Energy

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

    Coordination of Energy Efficiency and Demand Response Demand Response in U.S. Electricity Markets: Empirical Evidence 2009 Retail Demand Response in Southwest Power Pool (January...

  8. Demand Response as a System Reliability Resource

    E-Print Network [OSTI]

    Joseph, Eto

    2014-01-01

    Barat, and D. Watson. 2007. Demand Response Spinning ReserveKueck, and B. Kirby. 2009. Demand Response Spinning Reserveand B. Kirby. 2012. The Demand Response Spinning Reserve

  9. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

    McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

    2008-01-01

    duty fuel demand in alternate scenarios. ..for light-duty fuel demand in alternate scenarios. Minimum52 Heavy-duty vehicle fuel demand for each alternate

  10. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

    McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

    2008-01-01

    2006-2016: Staff energy demand forecast (Revised SeptemberCEC (2005b) Energy demand forecast methods report.California energy demand 2003-2013 forecast. California

  11. Division of IT Convergence Engineering Optimal Demand-Side Energy Management Under

    E-Print Network [OSTI]

    Boutaba, Raouf

    Division of IT Convergence Engineering Optimal Demand-Side Energy Management Under Real-time Demand and wastage through better demand-side management and control is considered a key solution ingredient of appliance specific adapters. Designed and implemented GHS Modeled the demand-side energy management

  12. Wireless Demand Response Controls for HVAC Systems

    SciTech Connect (OSTI)

    Federspiel, Clifford

    2009-06-30

    The objectives of this scoping study were to develop and test control software and wireless hardware that could enable closed-loop, zone-temperature-based demand response in buildings that have either pneumatic controls or legacy digital controls that cannot be used as part of a demand response automation system. We designed a SOAP client that is compatible with the Demand Response Automation Server (DRAS) being used by the IOUs in California for their CPP program, design the DR control software, investigated the use of cellular routers for connecting to the DRAS, and tested the wireless DR system with an emulator running a calibrated model of a working building. The results show that the wireless DR system can shed approximately 1.5 Watts per design CFM on the design day in a hot, inland climate in California while keeping temperatures within the limits of ASHRAE Standard 55: Thermal Environmental Conditions for Human Occupancy.

  13. Centralized and Decentralized Control for Demand Response

    SciTech Connect (OSTI)

    Lu, Shuai; Samaan, Nader A.; Diao, Ruisheng; Elizondo, Marcelo A.; Jin, Chunlian; Mayhorn, Ebony T.; Zhang, Yu; Kirkham, Harold

    2011-04-29

    Demand response has been recognized as an essential element of the smart grid. Frequency response, regulation and contingency reserve functions performed traditionally by generation resources are now starting to involve demand side resources. Additional benefits from demand response include peak reduction and load shifting, which will defer new infrastructure investment and improve generator operation efficiency. Technical approaches designed to realize these functionalities can be categorized into centralized control and decentralized control, depending on where the response decision is made. This paper discusses these two control philosophies and compares their relative advantages and disadvantages in terms of delay time, predictability, complexity, and reliability. A distribution system model with detailed household loads and controls is built to demonstrate the characteristics of the two approaches. The conclusion is that the promptness and reliability of decentralized control should be combined with the predictability and simplicity of centralized control to achieve the best performance of the smart grid.

  14. Wuhan Logistics Platform Smarter City & Smarter Logistics In March 2009, the Chinese State Council issued the "Plan for the Restructure and Revitalization of the

    E-Print Network [OSTI]

    Wuhan Logistics Platform ­ Smarter City & Smarter Logistics Background In March 2009, the Chinese State Council issued the "Plan for the Restructure and Revitalization of the Logistics Industry". The government plan is for China to build up a modern logistics industry based on information integration

  15. Demand Response Technology Roadmap A

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

    meetings and workshops convened to develop content for the Demand Response Technology Roadmap. The project team has developed this companion document in the interest of providing...

  16. Supply Chain Supernetworks With Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Supernetworks With Random Demands June Dong Ding Zhang School of Business State Field Warehouses: stocking points Customers, demand centers sinks Production/ purchase costs Inventory Customer Demand Customer Demand Retailer OrdersRetailer Orders Distributor OrdersDistributor Orders

  17. Marketing & Driving Demand Collaborative - Social Media Tools...

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

    & Driving Demand Collaborative - Social Media Tools & Strategies Marketing & Driving Demand Collaborative - Social Media Tools & Strategies Presentation slides from the Better...

  18. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01

    Data Collection for Demand-side Management for QualifyingPrepared by Demand-side Management Task Force of the

  19. Honeywell Demonstrates Automated Demand Response Benefits for...

    Office of Environmental Management (EM)

    Honeywell Demonstrates Automated Demand Response Benefits for Utility, Commercial, and Industrial Customers Honeywell Demonstrates Automated Demand Response Benefits for Utility,...

  20. Effects of the drought on California electricity supply and demand

    E-Print Network [OSTI]

    Benenson, P.

    2010-01-01

    Acknowledgments SUMMARY Electricity Demand ElectricityAdverse Impacts ELECTRICITY DEMAND . . . .Demand forElectricity Sales Electricity Demand by Major Utility

  1. An analysis of reverse logistics technology and service for hi-tech industry

    E-Print Network [OSTI]

    Li, Jinfan, 1976-

    2004-01-01

    This thesis provides a method for hi-tech companies to evaluate reverse logistic software and services. To clarify what is reverse logistics, the definition and features of reverse logistics are first introduced. The reasons ...

  2. Introduction Course Logistics Sets and Elements CMPSCI 240: Reasoning about Uncertainty

    E-Print Network [OSTI]

    McGregor, Andrew

    Introduction Course Logistics Sets and Elements CMPSCI 240: Reasoning about Uncertainty Lecture 1 Course Logistics Sets and Elements What's this course about. . . Course description: Development arguments and using mathematical concepts. #12;Introduction Course Logistics Sets and Elements Probability

  3. Lessons for China from a comparison of logistics in the U.S. and China

    E-Print Network [OSTI]

    Xiong, Ming, S.M. Massachusetts Institute of Technology

    2010-01-01

    Logistics efficiency is low in China. In 2008, total logistics costs accounted for 18.1% of gross domestic product (GDP) in China, which was almost twice that of the United States. Increasing logistics efficiency can save ...

  4. RESEARCH PAPER www.landesbioscience.com Cellular Logistics e29191-1

    E-Print Network [OSTI]

    Ungermann, Christian

    RESEARCH PAPER www.landesbioscience.com Cellular Logistics e29191-1 Cellular Logistics 4, e29191-specific HOPS subunits reveal their distinct interaction with Ypt7 and vacuoles. Cellular Logistics 2014; 4:e

  5. Optimal Policy Structures of Stochastic Supply Chains with Outsourced Logistics Agreements

    E-Print Network [OSTI]

    Alper, Osman Engin

    2010-01-01

    to-Stock Production 4.1 Logistics Agreements with ScheduledShipments . 4.2 Logistics Agreements with Options andCapacity . . 4.5 Logistics Agreements with Flexible

  6. High Level Overview of DOE Biomass Logistics II Project Activities

    Office of Energy Efficiency and Renewable Energy (EERE)

    Breakout Session 1B—Integration of Supply Chains I: Breaking Down Barriers High Level Overview of DOE Biomass Logistics II Project Activities Kevin Comer, Associate Principal, Antares Group Inc.

  7. Investigation of structural changes in residential electricity demand

    SciTech Connect (OSTI)

    Chern, W.S.; Bouis, H.E.

    1982-09-23

    The purpose of this study was to investigate the stability of aggregate national residential electricity demand coefficients over time. The hypothesis is maintained that the aggregate residential demand is the sum of various end-use demand components. Since the end-use composition changes over time, the demand relationship may change as well. Since the end-use composition differs among regions, the results obtained from this study can be used for making inferences about regional differences in electricity demand relationships. There are two additional sources for a possible structural change. One is that consumers may react differently to declining and rising prices, secondly, the impact of the 1973 oil embargo may have shifted demand preferences. The electricity demand model used for this study is presented. A moving regression method was employed to investigate changes in residential electricity demand over time. The statistical results show a strikingly consistent pattern of change for most of the structural variables. The most important finding of this study is that the estimated structure of residential electricity demand changes systematically over time as a result of changes in the characteristics (both durability and saturation level) of the stock of appliances. Furthermore, there is not strong evidence that the structural changes in demand occurred due to either the reversal of the declining trend of electricity prices or the impact of the 1973 oil embarge. (LCL)

  8. Oil-Price Shocks: Beyond Standard Aggregate Demand/Aggregate

    E-Print Network [OSTI]

    Dahlquist, Kam D.

    Oil-Price Shocks: Beyond Standard Aggregate Demand/Aggregate Supply Analysis S. Kirk Elwood Abstract: The author explores the problems of portraying oil-price shocks using the aggregate demand/aggregate supply model. Although oil-price shocks are the most commonly cited examples of aggregate supply shocks

  9. Bolt: On-Demand Infinite Loop Escape in Unmodified Binaries

    E-Print Network [OSTI]

    Rinard, Martin

    . Bolt supports an on- demand usage model--a user can attach Bolt to a running application at any point the application has successfully escaped from the loop, Bolt detaches from the application. To support the onBolt: On-Demand Infinite Loop Escape in Unmodified Binaries Michael Kling Sasa Misailovic Michael

  10. DEMAND CONTROLLED VENTILATION AND CLASSROOM VENTILATION

    SciTech Connect (OSTI)

    Fisk, William J.; Mendell, Mark J.; Davies, Molly; Eliseeva, Ekaterina; Faulkner, David; Hong, Tienzen; Sullivan, Douglas P.

    2014-01-06

    This document summarizes a research effort on demand controlled ventilation and classroom ventilation. The research on demand controlled ventilation included field studies and building energy modeling. Major findings included: ? The single-location carbon dioxide sensors widely used for demand controlled ventilation frequently have large errors and will fail to effectively control ventilation rates (VRs).? Multi-location carbon dioxide measurement systems with more expensive sensors connected to multi-location sampling systems may measure carbon dioxide more accurately.? Currently-available optical people counting systems work well much of the time but have large counting errors in some situations. ? In meeting rooms, measurements of carbon dioxide at return-air grilles appear to be a better choice than wall-mounted sensors.? In California, demand controlled ventilation in general office spaces is projected to save significant energy and be cost effective only if typical VRs without demand controlled ventilation are very high relative to VRs in codes. Based on the research, several recommendations were developed for demand controlled ventilation specifications in the California Title 24 Building Energy Efficiency Standards.The research on classroom ventilation collected data over two years on California elementary school classrooms to investigate associations between VRs and student illness absence (IA). Major findings included: ? Median classroom VRs in all studied climate zones were below the California guideline, and 40percent lower in portable than permanent buildings.? Overall, one additional L/s per person of VR was associated with 1.6percent less IA. ? Increasing average VRs in California K-12 classrooms from the current average to the required level is estimated to decrease IA by 3.4percent, increasing State attendance-based funding to school districts by $33M, with $6.2 M in increased energy costs. Further VR increases would provide additional benefits.? Confirming these findings in intervention studies is recommended. ? Energy costs of heating/cooling unoccupied classrooms statewide are modest, but a large portion occurs in relatively few classrooms.

  11. OFFICE of MATERIALS & LOGISTICS MANAGEMENT CAPITAL ASSET INVENTORY CERTIFICATE --IC-10

    E-Print Network [OSTI]

    Oliver, Douglas L.

    OFFICE of MATERIALS & LOGISTICS MANAGEMENT CAPITAL ASSET INVENTORY CERTIFICATE -- IC-10 DATE: From: Jack Ferraro University Director Office of Materials & Logistics Management (MLM) LB058, MC 2012

  12. Office of Business Development UTSC Farmers Market Programmer and Logistics Coordinator

    E-Print Network [OSTI]

    Boonstra, Rudy

    Office of Business Development UTSC Farmers Market Programmer and Logistics and Farmers Market logistics including but not limited to; confirming farmers, parking

  13. Office of Business Development UTSC Farmers Market Programmer and Logistics Coordinator

    E-Print Network [OSTI]

    Boonstra, Rudy

    and Logistics Coordinator The terms and conditions of employment are governed programming and Farmers Market logistics including but not limited to; confirming

  14. Addressing Energy Demand through Demand Response: International Experiences and Practices

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    electricity. In this manner, demand side management is directly integrated into the wholesale capacity marketcapacity market U.S. Federal Energy Regulatory Commission Florida Reliability Coordinating Council incremental auctions independent electricity

  15. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

    global gasoline and diesel price and income elasticities.shift in the short-run price elasticity of gasoline demand.Habits and Uncertain Relative Prices: Simulating Petrol Con-

  16. California Baseline Energy Demands to 2050 for Advanced Energy Pathways

    E-Print Network [OSTI]

    McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

    2008-01-01

    demands. Residential and commercial demand has a significantDemand by Sector Residential Peak Demand (MW) Commercialwe convert residential electricity demand based upon climate

  17. Supply Chain Networks, Electronic Commerce, and Supply Side and Demand Side Risk

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Networks, Electronic Commerce, and Supply Side and Demand Side Risk Anna Nagurney as well as demand side risk are included in the formulation. The model consists of three tiers of decision chain network equilibrium model with electronic com- merce and with supply side and demand side risk

  18. Residential Sector Demand Module

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearby the(Dollars1.840 2.318 3.1195) Model8)3 November

  19. Seasonality in air transportation demand

    E-Print Network [OSTI]

    Reichard Megwinoff, H?tor Nicolas

    1988-01-01

    This thesis investigates the seasonality of demand in air transportation. It presents three methods for computing seasonal indices. One of these methods, the Periodic Average Method, is selected as the most appropriate for ...

  20. Demand response enabling technology development

    E-Print Network [OSTI]

    2006-01-01

    Monitoring in an Agent-Based Smart Home, Proceedings of theConference on Smart Homes and Health Telematics, September,Smart Meter Motion sensors Figure 1: Schematic of the Demand Response Electrical Appliance Manager in a Home.

  1. Full Rank Rational Demand Systems

    E-Print Network [OSTI]

    LaFrance, Jeffrey T; Pope, Rulon D.

    2006-01-01

    Dover Publications 1972. Barnett, W.A. and Y.W. Lee. “TheEconometrica 53 (1985): 1421- Barnett, W.A. , Lee, Y.W. ,Laurent demand systems (Barnett and Lee 1985; Barnett, Lee,

  2. Marketing Demand-Side Management 

    E-Print Network [OSTI]

    O'Neill, M. L.

    1988-01-01

    Demand-Side Management is an organizational tool that has proven successful in various realms of the ever changing business world in the past few years. It combines the multi-faceted desires of the customers with the increasingly important...

  3. Demand Response Spinning Reserve Demonstration

    SciTech Connect (OSTI)

    Eto, Joseph H.; Nelson-Hoffman, Janine; Torres, Carlos; Hirth,Scott; Yinger, Bob; Kueck, John; Kirby, Brendan; Bernier, Clark; Wright,Roger; Barat, A.; Watson, David S.

    2007-05-01

    The Demand Response Spinning Reserve project is a pioneeringdemonstration of how existing utility load-management assets can providean important electricity system reliability resource known as spinningreserve. Using aggregated demand-side resources to provide spinningreserve will give grid operators at the California Independent SystemOperator (CAISO) and Southern California Edison (SCE) a powerful, newtool to improve system reliability, prevent rolling blackouts, and lowersystem operating costs.

  4. Driving change : evaluating strategies to control automotive energy demand growth in China

    E-Print Network [OSTI]

    Bonde Åkerlind, Ingrid Gudrun

    2013-01-01

    As the number of vehicles in China has relentlessly grown in the past decade, the energy demand, fuel demand and greenhouse gas emissions associated with these vehicles have kept pace. This thesis presents a model to project ...

  5. Hawaii demand-side management resource assessment. Final report, Reference Volume 5: The DOETRAN user`s manual; The DOE-2/DBEDT DSM forecasting model interface

    SciTech Connect (OSTI)

    1995-04-01

    The DOETRAN model is a DSM database manager, developed to act as an intermediary between the whole building energy simulation model, DOE-2, and the DBEDT DSM Forecasting Model. DOETRAN accepts output data from DOE-2 and TRANslates that into the format required by the forecasting model. DOETRAN operates in the Windows environment and was developed using the relational database management software, Paradox 5.0 for Windows. It is not necessary to have any knowledge of Paradox to use DOETRAN. DOETRAN utilizes the powerful database manager capabilities of Paradox through a series of customized user-friendly windows displaying buttons and menus with simple and clear functions. The DOETRAN model performs three basic functions, with an optional fourth. The first function is to configure the user`s computer for DOETRAN. The second function is to import DOE-2 files with energy and loadshape data for each building type. The third main function is to then process the data into the forecasting model format. As DOETRAN processes the DOE-2 data, graphs of the total electric monthly impacts for each DSM measure appear, providing the user with a visual means of inspecting DOE-2 data, as well as following program execution. DOETRAN provides three tables for each building type for the forecasting model, one for electric measures, gas measures, and basecases. The optional fourth function provided by DOETRAN is to view graphs of total electric annual impacts by measure. This last option allows a comparative view of how one measure rates against another. A section in this manual is devoted to each of the four functions mentioned above, as well as computer requirements and exiting DOETRAN.

  6. Robust DWDM Routing and Provisioning under Polyhedral Demand ...

    E-Print Network [OSTI]

    In the worst case, this cut should be able to support full demand/supply of set ..... size 1. For each model, we list the percentage gap of the LP relaxation from the.

  7. Inventory Management of Perishable Goods under Demand Variability 

    E-Print Network [OSTI]

    Ayoub, Wisam Hanna

    2013-08-01

    science and economic parameters examining the impacts of different demand specifications on the cost minimization and profit maximization problem of fluid milk. The square root model from the food science literature is used to estimate the shelf...

  8. Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01

    A. Barat, D. Watson. 2006 Demand Response Spinning ReserveKueck, and B. Kirby 2008. Demand Response Spinning ReserveReport 2009. Open Automated Demand Response Communications

  9. Demand Response and Open Automated Demand Response Opportunities for Data Centers

    E-Print Network [OSTI]

    Mares, K.C.

    2010-01-01

    Standardized Automated Demand Response Signals. Presented atand Automated Demand Response in Industrial RefrigeratedActions for Industrial Demand Response in California. LBNL-

  10. Assessment of Industrial Load for Demand Response across Western Interconnect

    SciTech Connect (OSTI)

    Alkadi, Nasr E; Starke, Michael R; Ma, Ookie

    2013-11-01

    Demand response (DR) has the ability to both increase power grid reliability and potentially reduce operating system costs. Understanding the role of demand response in grid modeling has been difficult due to complex nature of the load characteristics compared to the modeled generation and the variation in load types. This is particularly true of industrial loads, where hundreds of different industries exist with varying availability for demand response. We present a framework considering industrial loads for the development of availability profiles that can provide more regional understanding and can be inserted into analysis software for further study. The developed framework utilizes a number of different informational resources, algorithms, and real-world measurements to perform a bottom-up approach in the development of a new database with representation of the potential demand response resource in the industrial sector across the U.S. This tool houses statistical values of energy and demand response (DR) potential by industrial plant and geospatially locates the information for aggregation for different territories without proprietary information. This report will discuss this framework and the analyzed quantities of demand response for Western Interconnect (WI) in support of evaluation of the cost production modeling with power grid modeling efforts of demand response.

  11. Logistic Growth: Quadratic, No Time Delay, K Constant b = [K -N(0)]/N(0)

    E-Print Network [OSTI]

    Caraco, Thomas

    Logistic Growth: Quadratic, No Time Delay, K Constant #12;b = [K - N(0)]/N(0) Logistic Population-Cummings Protozoan, small metazoan & large mammal: Logistic growth (app.), Increasing time to max dN/dt #12;Gause, sociology, technology How might logistic growth's assumptions fail biologically? #12;Density

  12. Assistant Professor of Logistics and Supply Chain Management--Search #67350 College of Business Administration

    E-Print Network [OSTI]

    Hutcheon, James M.

    Assistant Professor of Logistics and Supply Chain Management--Search #67350 College of Business Administration Department of Logistics and Supply Chain Management The Department of Logistics and Supply Chain Professor of Logistics and Supply Chain Management position. Georgia Southern University, classified

  13. Proceedings IGLC-15, July 2007, Michigan, USA LOGISTICS CENTERS TO SUPPORT PROJECT-

    E-Print Network [OSTI]

    Kaminsky, Philip M.

    181 Proceedings IGLC-15, July 2007, Michigan, USA LOGISTICS CENTERS TO SUPPORT PROJECT- BASED. Managing logistics is one component at the core of such strategies. An effective logistics system ensures and rewarding all participants based on value added to the supply chain. As a component of a logistics system

  14. Consumer demand and labor supply : goods, monetary assets, and time

    E-Print Network [OSTI]

    Barnett, William A.

    1981-01-01

    . Chapter 9 presents estimates of a new implicit utility demand model Acknowledgements I am indebted to Kenneth Kopecky, Alfred Norman, and Ryuzo Sato for their collaboration in. the research which forms the basis for Chapter 9. Much of the work, in.... Chapter 9 presents estimates of a new implicit utility demand model Acknowledgements I am indebted to Kenneth Kopecky, Alfred Norman, and Ryuzo Sato for their collaboration in. the research which forms the basis for Chapter 9. Much of the work, in...

  15. Logistics & Fees - Combustion Energy Frontier Research Center

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCenter (LMI-EFRC)Lodging LodgingLogistics Logistics The

  16. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    relatively high economic/demographic growth, relatively low electricity and natural gas rates REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand Bill Junker Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS

  17. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

    high economic/demographic growth, relatively low electricity and natural gas rates, and relatively low CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION

  18. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

    relatively high economic/demographic growth, relatively low electricity and natural gas rates CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand Gough Office Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS

  19. Demand Response as a System Reliability Resource

    E-Print Network [OSTI]

    Joseph, Eto

    2014-01-01

    Barat, and D. Watson. 2007. Demand Response Spinning ReserveKueck, and B. Kirby. 2009. Demand Response Spinning ReserveFormat of 2009-2011 Demand Response Activity Applications.

  20. Exponential Communication Ine ciency of Demand Queries

    E-Print Network [OSTI]

    Sandholm, Tuomas W.

    FORECAST COMBINATION IN REVENUE MANAGEMENT DEMAND FORECASTING SILVIA RIEDEL A thesissubmitted Combination in RevenueManagement Demand Forecasting Abstract The domain of multi level forecastcombination

  1. Generating Demand for Multifamily Building Upgrades | Department...

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

    Generating Demand for Multifamily Building Upgrades Generating Demand for Multifamily Building Upgrades Better Buildings Residential Network Peer Exchange Call Series: Generating...

  2. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    demand response: ? Distribution utility ? ISO ? Aggregator (demand response less obstructive and inconvenient for the customer (particularly if DR resources are aggregated by a load aggregator).

  3. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

    McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

    2008-01-01

    annual per-capita electricity consumption by demand15 California electricity consumption projections by demandannual per-capita electricity consumption by demand

  4. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    California Long-term Energy Efficiency Strategic Plan. B-2 Coordination of Energy Efficiency and Demand Response> B-4 Coordination of Energy Efficiency and Demand Response

  5. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    Energy Efficiency, Demand Response, and Peak Load Managementdemand response, and load management programs in the Ebefore they undertake load management and demand response

  6. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01

    Sales and operational planning that incorporates unconstrained demand forecasts has been expected to improve long term corporate profitability. Companies are considering such unconstrained demand forecasts in their decisions ...

  7. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    > B-2 Coordination of Energy Efficiency and Demand Response> B-4 Coordination of Energy Efficiency and Demand Responseand integration is: Energy efficiency, energy conservation,

  8. Generating Demand for Multifamily Building Upgrades | Department...

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

    Generating Demand for Multifamily Building Upgrades Generating Demand for Multifamily Building Upgrades May 14, 2015 12:30PM to 2:00PM EDT Learn more...

  9. Demand Response Programs Oregon Public Utility Commission

    E-Print Network [OSTI]

    Demand Response Programs Oregon Public Utility Commission January 6, 2005 Mike Koszalka Director;Demand Response Results, 2004 Load Control ­ Cool Keeper ­ ID Irrigation Load Control Price Responsive

  10. Turkey's energy demand and supply

    SciTech Connect (OSTI)

    Balat, M. [Sila Science, Trabzon (Turkey)

    2009-07-01

    The aim of the present article is to investigate Turkey's energy demand and the contribution of domestic energy sources to energy consumption. Turkey, the 17th largest economy in the world, is an emerging country with a buoyant economy challenged by a growing demand for energy. Turkey's energy consumption has grown and will continue to grow along with its economy. Turkey's energy consumption is high, but its domestic primary energy sources are oil and natural gas reserves and their production is low. Total primary energy production met about 27% of the total primary energy demand in 2005. Oil has the biggest share in total primary energy consumption. Lignite has the biggest share in Turkey's primary energy production at 45%. Domestic production should be to be nearly doubled by 2010, mainly in coal (lignite), which, at present, accounts for almost half of the total energy production. The hydropower should also increase two-fold over the same period.

  11. Demand Response and Energy Efficiency 

    E-Print Network [OSTI]

    2009-01-01

    stream_source_info ESL-IC-09-11-05.pdf.txt stream_content_type text/plain stream_size 14615 Content-Encoding ISO-8859-1 stream_name ESL-IC-09-11-05.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Demand Response... 4 An Innovative Solution to Get the Ball Rolling ? Demand Response (DR) ? Monitoring Based Commissioning (MBCx) EnerNOC has a solution involving two complementary offerings. ESL-IC-09-11-05 Proceedings of the Ninth International Conference...

  12. Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral

    E-Print Network [OSTI]

    Hüllermeier, Eyke

    Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral Ali Fallah a generalization of logis- tic regression based on the Choquet integral. The basic idea of our approach, referred to as choquistic regression, is to replace the linear function of pre- dictor variables, which is commonly used

  13. Title: CanMap RouteLogistics: Ontario Data Creator /

    E-Print Network [OSTI]

    Title: CanMap RouteLogistics: Ontario Data Creator / Copyright Owner: DMTI Spatial Inc. Publisher and highways as well as streetfiles/names for Ontario. It also includes some topographic features from (west), -74 (east), 57 (north), 41.5 (south) Index Map: N/A Keywords (Place): Ontario #12;Keywords

  14. A Context Framework for Process-oriented Information Logistics

    E-Print Network [OSTI]

    Ulm, Universität

    approach. The basic idea is to provide the right process information, in the right format and quality) is a promising approach. Goal is to provide the right process information, in the right format and qualityA Context Framework for Process-oriented Information Logistics Bernd Michelberger1 , Bela Mutschler

  15. improve your position Master of Science Programme Production Logistic

    E-Print Network [OSTI]

    Twente, Universiteit

    's thesis. At the core of the PLM track is the design, planning and control of the primary process ­ from: providing stock management and production planning at AKZO Oleochemicals (Emmerich, Germany) improvingimprove your position Master of Science Programme Production Logistic and Management Production

  16. The branching process with logistic growth By Amaury Lambert

    E-Print Network [OSTI]

    Lambert, Amaury

    in ecology, and translates mathematically into a quadratic death rate. The logistic branching process, or LB) combined with constant coagulation rate (the death rate is proportional to the number of possible, the first birth will arrive at rate n and the first death at rate dn+cn(n-1). This size-dependence complies

  17. Nonstationary Logistic Regression William D. Penny and Stephen J. Roberts

    E-Print Network [OSTI]

    Roberts, Stephen

    Nonstationary Logistic Regression William D. Penny and Stephen J. Roberts Technical Report, Neural, Technology and Medicine, London SW7 2BT., U.K. w.penny@ic.ac.uk, s.j.roberts@ic.ac.uk May 5, 1999 Abstract We

  18. A Cross-Sectional Investigation of the Determinants of Urban Residential Water Demand in the United States, 1960 and 1970 

    E-Print Network [OSTI]

    Foster, H.S., Jr.; Beattie, B. R.

    1978-01-01

    This research was undertaken to specify and estimate a model relating household demand for urban water to its principal determinants. Four specific tasks were accomplished: 1. An appropriate economic demand model for ...

  19. Open Automated Demand Response Communications Specification (Version 1.0)

    SciTech Connect (OSTI)

    Piette, Mary Ann; Ghatikar, Girish; Kiliccote, Sila; Koch, Ed; Hennage, Dan; Palensky, Peter; McParland, Charles

    2009-02-28

    The development of the Open Automated Demand Response Communications Specification, also known as OpenADR or Open Auto-DR, began in 2002 following the California electricity crisis. The work has been carried out by the Demand Response Research Center (DRRC), which is managed by Lawrence Berkeley National Laboratory. This specification describes an open standards-based communications data model designed to facilitate sending and receiving demand response price and reliability signals from a utility or Independent System Operator to electric customers. OpenADR is one element of the Smart Grid information and communications technologies that are being developed to improve optimization between electric supply and demand. The intention of the open automated demand response communications data model is to provide interoperable signals to building and industrial control systems that are preprogrammed to take action based on a demand response signal, enabling a demand response event to be fully automated, with no manual intervention. The OpenADR specification is a flexible infrastructure to facilitate common information exchange between the utility or Independent System Operator and end-use participants. The concept of an open specification is intended to allow anyone to implement the signaling systems, the automation server or the automation clients.

  20. Abstract --Due to the potentially large number of Distributed Energy Resources (DERs) demand response, distributed

    E-Print Network [OSTI]

    Zhang, Wei

    to accurately estimate the transients caused by demand response is especially important to analyze the stability of the system under different demand response strategies, where dynamics on time scales of seconds to minutes demand response. The aggregated model efficiently includes statistical information of the population