Sample records for logistics demand model

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

    SciTech Connect (OSTI)

    Not Available

    1994-04-11T23:59:59.000Z

    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.

  2. Parsimonious additive logistic models Logistic regression is a standard tool in statistics for binary classification. The logistic model

    E-Print Network [OSTI]

    Boyer, Edmond

    a linear regression model. A generalization is the additive logistic model, which replaces each linear term, removes irrelevant variables, and identifies non linear trends. The estimates are computed via the usualParsimonious additive logistic models Logistic regression is a standard tool in statistics

  3. 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

  4. 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...

  5. Travel Demand Modeling

    SciTech Connect (OSTI)

    Southworth, Frank [ORNL; Garrow, Dr. Laurie [Georgia Institute of Technology

    2011-01-01T23:59:59.000Z

    This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.

  6. 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...

  7. 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...

  8. Logistics

    Broader source: Energy.gov [DOE]

    Logistics systems vary based on technology, but these processes generally include harvesting algae from the cultivation system and then dewatering and concentrating the harvested biomass so that it...

  9. 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

  10. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your HomeLatestCenterLogging in Logging in toLogisticalLogistics

  11. 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

  12. 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

  13. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your HomeLatestCenterLogging in Logging in toLogistical

  14. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your HomeLatestCenterLogging in Logging inLogistics User Data

  15. 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

  16. Physically-based demand modeling 

    E-Print Network [OSTI]

    Calloway, Terry Marshall

    1980-01-01T23:59:59.000Z

    Transactions on Automatic Control, vol. AC-19, December 1974, pp. 887-893. L3] |4] LS] [6] [7] LB] C. W. Brice and S. K. Jones, MPhysically-Based Demand Modeling, d EC-77-5-01-5057, RF 3673, Electric Power Institute, Texas A&M University, October 1978.... C. W. Br ice and 5, K, Jones, MStochastically-Based Physical Load Models Topical Report, " EC-77-5-01-5057, RF 3673, Electric Power Institute, Texas A&M University, May 1979. S. K. Jones and C. W. Brice, "Point Process Models for Power System...

  17. Reducing Logistics Footprints and Replenishment Demands: Nano-engineered Silica Aerogels a Proven Method for Water Treatment

    SciTech Connect (OSTI)

    Daily, W; Coleman, S; Love, A; Reynolds, J; O'Brien, K; Gammon, S

    2004-09-22T23:59:59.000Z

    Rapid deployment and the use of objective force aggressively reduce logistic footprints and replenishment demands. Maneuver Sustainment requires that Future Combat Systems be equipped with water systems that are lightweight, have small footprints, and are highly adaptable to a variety of environments. Technologies employed in these settings must be able to meet these demands. Lawrence Livermore National Laboratory has designed and previously field tested nano-engineered materials for the treatment of water. These materials have been either based on silica aerogel materials or consist of composites of these aerogels with granular activated carbon (GAC). Recent tests have proven successful for the removal of contaminants including uranium, hexavalent chromium, and arsenic. Silica aerogels were evaluated for their ability to purify water that had been spiked with the nerve agent VX (O-ethyl S-(2-diisopropylaminoethyl) methylphosphonothiolate). These results demonstrated that silica aerogels were able to remove the VX from the supply water and were nearly 30 times more adsorbent than GAC. This performance could result in REDUCING CHANGEOUT FREQUENCY BY A FACTOR OF 30 or DECREASING the VOLUME of adsorbent BY A FACTOR OF 30; thereby significantly reducing logistic footprints and replenishment demands. The use of the nano-engineered Silica Aerogel/GAC composites would provide a water purification technology that meets the needs of Future Combat Systems.

  18. 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 are new actors in the energy scenario: they gather a group of energy consumers and implement a demand

  19. 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 over the last decades. Initiatives such as Lean Construction and Prefabrication have emerged in the construction industry to reduce the cost of house production and thereby the cost of the house itself

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

    E-Print Network [OSTI]

    de Weck, Olivier L.

    On January 14th, 2004, President Bush set forth a new exploration initiative to achieve a sustained human for the exploration missions, a reduction in cost can be achieved which promotes a more sustainable system to sustain the exploration initiative. Using terrestrial logistics modeling tools that have been extended

  1. 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

  2. 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

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

    E-Print Network [OSTI]

    Grogan, Paul Thomas, 1985-

    2010-01-01T23:59:59.000Z

    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 ...

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. Market Response ModelsMarket Response Models Demand CreationDemand Creation

    E-Print Network [OSTI]

    Brock, David

    Market Response ModelsMarket Response Models andand Demand CreationDemand Creation Dominique MImportance of Marketing Investments Need for a Market Response focusNeed for a Market Response focus Digital data enriched acquisition and retention costsasymmetry between acquisition and retention costs In both cases, longIn both

  10. A generalized logistic model of individual tree mortality for aspen, white spruce, and lodgepole

    E-Print Network [OSTI]

    Macdonald, Ellen

    A generalized logistic model of individual tree mortality for aspen, white spruce, and lodgepole: A generalized logistic model of individual tree mortality was developed for trembling aspen (Populus tremuloides aspen (Populus tremuloides Michx), white spruce (Picea glauca (Moench) Voss), and lodgepole pine (Pinus

  11. Integrated modeling and simulation of lunar exploration campaign logistics

    E-Print Network [OSTI]

    Shull, Sarah A. (Sarah Anderson)

    2007-01-01T23:59:59.000Z

    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 ...

  12. Two Market Models for Demand Response in Power Networks

    E-Print Network [OSTI]

    Low, Steven H.

    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

  13. 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

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

    E-Print Network [OSTI]

    Kao, Ling-Jing

    2001-01-01T23:59:59.000Z

    . 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...

  15. 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

  16. 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. ...

  17. Logistics' Liabilities

    E-Print Network [OSTI]

    Cowen, Deborah

    2011-01-01T23:59:59.000Z

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

  18. COMBINING DIVERSE DATA SOURCES FOR CEDSS, AN AGENT-BASED MODEL OF DOMESTIC ENERGY DEMAND

    E-Print Network [OSTI]

    Gotts, Nicholas Mark; Polhill, Gary; Craig, Tony; Galan-Diaz, Carlos

    2014-01-01T23:59:59.000Z

    Model CEDSS (Community Energy Demand Social Simulator) wasthe determinants of domestic energy demand and covering fivescenarios of domestic energy demand to 2050, and for its

  19. Logistics 46 3 Logistics

    E-Print Network [OSTI]

    Henkel, Werner

    Global Production Logistics led by Prof. Dr.-Ing. Katja Windt and the workgroup Maritime Logis- tics led, an academic network for innovative and maritime education and R & D, is working to- wards establishing

  20. Modelling the Energy Demand of Households in a Combined

    E-Print Network [OSTI]

    Steininger, Karl W.

    . Emissions from passenger transport, households'electricity and heat consumption are growing rapidly despite demand analysis for electricity (e.g. Larsen and Nesbakken, 2004; Holtedahl and Joutz, 2004Modelling the Energy Demand of Households in a Combined Top Down/Bottom Up Approach Kurt Kratena

  1. MODELING THE DEMAND FOR E85 IN THE UNITED STATES

    SciTech Connect (OSTI)

    Liu, Changzheng [ORNL; Greene, David L [ORNL

    2013-10-01T23:59:59.000Z

    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.

  2. An Introduction to Semantic Modeling for Logistical Systems

    E-Print Network [OSTI]

    Brock, David

    Infrastructure ­ A Method for Networking Physical Objects," MIT Smart World Conference. · BROCK, D.L. 2003. "The. "Developing and Implementing a Production Planning DSS for CTI Using Structured Modeling." Interfaces 31 models may exist in different host systems and organizations. #12;A Visualization of M #12;Grid Computing

  3. 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

    2008-06-01T23:59:59.000Z

    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.

  4. Estimation of Random-Coefficient Demand Models: Two Empiricists' Perspective

    E-Print Network [OSTI]

    Metaxoglou, Konstantinos

    We document the numerical challenges we experienced estimating random-coefficient demand models as in Berry, Levinsohn, and Pakes (1995) using two well-known data sets and a thorough optimization design. The optimization ...

  5. A dynamic model of industrial energy demand in Kenya

    SciTech Connect (OSTI)

    Haji, S.H.H. [Gothenburg Univ. (Sweden)

    1994-12-31T23:59:59.000Z

    This paper analyses the effects of input price movements, technology changes, capacity utilization and dynamic mechanisms on energy demand structures in the Kenyan industry. This is done with the help of a variant of the second generation dynamic factor demand (econometric) model. This interrelated disequilibrium dynamic input demand econometric model is based on a long-term cost function representing production function possibilities and takes into account the asymmetry between variable inputs (electricity, other-fuels and Tabour) and quasi-fixed input (capital) by imposing restrictions on the adjustment process. Variations in capacity utilization and slow substitution process invoked by the relative input price movement justifies the nature of input demand disequilibrium. The model is estimated on two ISIS digit Kenyan industry time series data (1961 - 1988) using the Iterative Zellner generalized least square method. 31 refs., 8 tabs.

  6. Detailed Modeling and Response of Demand Response Enabled Appliances

    SciTech Connect (OSTI)

    Vyakaranam, Bharat; Fuller, Jason C.

    2014-04-14T23:59:59.000Z

    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.

  7. 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 dedicated models to forecast the 12 individual months directly. Results indicate better performance is superior to naïve forecasts based on persistence and seasonality, and is better than results quoted

  8. Water supply and demand in an energy supply model

    SciTech Connect (OSTI)

    Abbey, D; Loose, V

    1980-12-01T23:59:59.000Z

    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. 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

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

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01T23:59:59.000Z

    advanced metering and demand response in electricityGoldman, and D. Kathan. “Demand response in U.S. electricity29] DOE. Benefits of demand response in electricity markets

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

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    Automated Demand Response in a Large Office Building”, CECBuilding Control Strategies and Techniques for Demand Response”,Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings

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

    E-Print Network [OSTI]

    Fallon, Michael Brooks

    2012-11-12T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2013-01-01T23:59:59.000Z

    El-Saadany. “A summary of demand response in electricityadvanced metering and demand response in electricityWolak. When it comes to demand response is FERC is own worst

  14. 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.

    2012-07-22T23:59:59.000Z

    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

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

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Dalal, Jyotirmoy

    2014-12-02T23:59:59.000Z

    We present three models for emergency response network design. First, in a deterministic setting, we focus on two critical aspects of emergency logistics: evacuation and relief distribution. We consider a three-tier system comprising evacuation...

  17. 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

  18. An Operational Model for Optimal NonDispatchable Demand Response

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    FACTS, $ Demand Response Energy Storage HVDC Industrial Customer PEV Renewable Energy Source: U.S.-Canada Power

  19. 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

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

    E-Print Network [OSTI]

    Hartman, Raymond Steve

    1978-01-01T23:59:59.000Z

    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, ...

  1. Bias Reduction and Goodness-of-Fit Tests in Conditional Logistic Regression Models

    E-Print Network [OSTI]

    Sun, Xiuzhen

    2011-10-21T23:59:59.000Z

    in conditional logistic regression by solving a modified score equation. The resultant estimator not only reduces bias but also can prevent producing infinite value. Furthermore, we propose a method to calculate the standard error of the resultant estimator. A...

  2. 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 ...

  3. An Econometric Model of the Demand for Food and Nutrition

    E-Print Network [OSTI]

    LaFrance, Jeffrey T.

    1999-01-01T23:59:59.000Z

    Holland, 1978. Blundell, R. “Econometric Approaches to theDemand Behavior. ” Econometric Reviews 5(1986): 89-146. . “Harvey, A. C. The Econometric Analysis of Time Series,

  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. Pseudo Dynamic Transitional Modeling of Building Heating Energy Demand Using Artificial1 Neural Network2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Transitional Modeling of Building Heating Energy Demand Using Artificial1 Neural Network2 Subodh Paudel a, it is39 essential to know energy flows and energy demand of the buildings for the control of heating and40 cooling energy production from plant systems. The energy demand of the building system, thus,41

  7. Cooling energy demand evaluation by means of regression models obtained from dynamic simulations

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Cooling energy demand evaluation by means of regression models obtained from dynamic simulations Ph, Université Lyon1, FRANCE ABSTRACT The forecast of the energy heating/cooling demand would be a good indicator between simple and complex methods of evaluating the cooling energy demand we have proposed to use energy

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Eriksen, Steven Edward

    1978-01-01T23:59:59.000Z

    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 ...

  10. Electrical ship demand modeling for future generation warships

    E-Print Network [OSTI]

    Sievenpiper, Bartholomew J. (Bartholomew Jay)

    2013-01-01T23:59:59.000Z

    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 ...

  11. A Single-Product Inventory Model for Multiple Demand Classes

    E-Print Network [OSTI]

    Arslan, Hasan

    2005-05-27T23:59:59.000Z

    We consider a single-product inventory system that serves multiple demand classes, which differ in their shortage costs or service level requirements. We assume a critical-level control policy, and show the equivalence ...

  12. Modeling Structural Changes in Market Demand and Supply

    E-Print Network [OSTI]

    Park, Beom Su

    2011-10-21T23:59:59.000Z

    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 effect of selected...

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

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01T23:59:59.000Z

    of Automated Demand Response in a Large Office Building”, inBuilding Control Strategies and Techniques for Demand Response.Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

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

    E-Print Network [OSTI]

    Bhunia, Swarup

    energy generation and consumption parameters. The system uses economics inspired supply-demand modelA Supply-Demand Model Based Scalable Energy Management System for Improved Energy Utilization Western Reserve University, *Cleveland State University, +Rockwell Automation, Cleveland, OR, USA Email

  17. Communicating Logistics

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T, Inc.'sEnergyTexas1.Space Data CorporationPastCommunicating Logistics *

  18. ARM - 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadap Documentation TDMADAP : XDC documentationBarrow, AlaskaWhen Floating Ice Melts inLogistics

  19. 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

    1988-01-01T23:59:59.000Z

    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... in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1988 Maj or Subj cot: Forestry THE USE OF LOGISTIC REGRESSION TO MODEL THE PROBABILITY OF OAK WILT OCCURRENCE IN THE TEXAS HILL COUNTRY USING FOREST STAND AND SITE...

  20. 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

    1988-01-01T23:59:59.000Z

    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... in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1988 Maj or Subj cot: Forestry THE USE OF LOGISTIC REGRESSION TO MODEL THE PROBABILITY OF OAK WILT OCCURRENCE IN THE TEXAS HILL COUNTRY USING FOREST STAND AND SITE...

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

    SciTech Connect (OSTI)

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

    2014-01-01T23:59:59.000Z

    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.

  2. 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

    2009-06-28T23:59:59.000Z

    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.

  3. Perspectives for logistics clusters development in Russia

    E-Print Network [OSTI]

    Tantsuyev, Andriy

    2012-01-01T23:59:59.000Z

    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: ...

  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. 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.

    TR-41 1972 A Model for a Linked System of Mulit-Purpose Reservoirs with Stochastic Inflows and Demands G.L. Curry J.C. Helm R.A. Clark Texas Water Resources Institute Texas A&M University ...

  6. 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 ...

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

    E-Print Network [OSTI]

    Cowing, Thomas G.

    1982-01-01T23:59:59.000Z

    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 ...

  8. Exploring a capability-demand interaction model for inclusive design evaluation

    E-Print Network [OSTI]

    Persad, Umesh

    2012-03-06T23:59:59.000Z

    of supporting analytical design evaluation for Inclusive Design. The analytical evaluation process involves evaluating products with user data rather than testing with actual users. The work focuses on the exploration of a capability-demand model of product...

  9. Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control

    E-Print Network [OSTI]

    Mittelmann, Hans D.

    is shown by applying it to a case study involving composition control of a binary distillation column. I is demonstrated in a binary high-purity distillation column case study by Weischedel and McAvoy [7], a demandingOptimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model

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

    SciTech Connect (OSTI)

    NONE

    1995-02-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2013-01-01T23:59:59.000Z

    Modeling and control of aggregated heterogeneous thermostatically controlled loads for ancillary services”. In: Proceedings of the Power SystemsModeling and control of thermostatically controlled loads”. In: Pro- ceedings of 17 th Power Systems

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

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01T23:59:59.000Z

    Modeling and control of aggregated heterogeneous thermostatically controlled loads for ancillary services”. In: Proceedings of the Power SystemsModeling and control of thermostatically controlled loads”. In: Pro- ceedings of 17 th Power Systems

  13. 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

  14. Production, Manufacturing and Logistics Managing inventories in a two-echelon dual-channel

    E-Print Network [OSTI]

    Chiang, Wei-yu Kevin

    Production, Manufacturing and Logistics Managing inventories in a two-echelon dual-channel supply We present a two-echelon dual-channel inventory model in which stocks are kept in both a manufacturer the Internet-based direct channel. The demand of retail customers is met with the on-hand inventory from

  15. A Theory of Travel Decision-Making with Applications for Modeling Active Travel Demand

    E-Print Network [OSTI]

    Bertini, Robert L.

    A Theory of Travel Decision-Making with Applications for Modeling Active Travel Demand by Patrick methods, the research upon which modeling tools are based has yet to settle on a comprehensive theory, and environmental factors. While modeling tools have explained travel primarily through economic theories

  16. 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

    2014-09-05T23:59:59.000Z

    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

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

    SciTech Connect (OSTI)

    NONE

    1995-03-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2012-12-12T23:59:59.000Z

    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

  19. 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.

    1999-01-01T23:59:59.000Z

    declining-block tarrifs: An econometric study using micro-ON WATER CONSERVATION: ECONOMETRIC AN MODEL OF AGGREGATEWater Conservation: An Econometric Model of Aggregate Demand

  20. 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

  1. A Screening Model to Explore Planning Decisions in Automotive Manufacturing Systems under Demand Uncertainty

    E-Print Network [OSTI]

    de Weck, Olivier L.

    In White assembly systems in the automotive industry by applying the developed screening model. It shows3 A Screening Model to Explore Planning Decisions in Automotive Manufacturing Systems under Demand engineering systems, as for automotive manufacturing, often require significant capital investment

  2. The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling

    E-Print Network [OSTI]

    Blei, David M.

    , Chong Wang and David Blei Department of Computer Science, Princeton University {jpaisley,chongw,blei) (Blei et al., 2003) to allow each group of data (e.g., document) to be modeled as a mix- ture over. To address this issue in the finite LDA model, Blei & Lafferty (2007) introduced the correlated topic model

  3. 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

    2014-01-01T23:59:59.000Z

    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.

  4. 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

    2015-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Forrest, Timothy Lee

    2007-04-25T23:59:59.000Z

    ...................................................................................................... 47 7 Significance Levels of Variables in Each Model......................................... 49 A-1 Example of Household Data File Format (Laredo) ..................................... 60 A...-2 Example of Household Data File Format Codes (Laredo) .......................... 62 A-3 Example of Person Data File Format (Laredo)............................................ 63 A-4 Example...

  6. 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

    2014-01-31T23:59:59.000Z

    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.

  7. Pseudo dynamic transitional modeling of building heating energy demand using artificial neural network

    E-Print Network [OSTI]

    Paudel, Subodh; Elmtiri, Mohamed; Kling, Wil L; Corre, Olivier Le; Lacarriere, Bruno

    2014-01-01T23:59:59.000Z

    R. Satake, Prediction of energy demands using neural networkof Building Heating Energy Demand Using Artificial Neuralknow energy flows and energy demand of the buildings for the

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

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01T23:59:59.000Z

    demand response and energy ef?ciency in commercial buildings,”building control strategies and techniques for demand response,”building electricity use with application to demand response,”

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

    SciTech Connect (OSTI)

    Narumalani, S. [Nebraska Univ., Lincoln, NE (United States). Dept. of Geography; Jensen, J.R.; Althausen, J.D.; Burkhalter, S. [South Carolina Univ., Columbia, SC (United States). Dept. of Geography; Mackey, H.E. Jr. [Westinghouse Savannah River Co., Aiken, SC (United States)

    1994-06-01T23:59:59.000Z

    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.

  10. 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.

    2012-04-29T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Zhang, Liqing

    2011-07-01T23:59:59.000Z

    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...

  12. 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

    2014-01-01T23:59:59.000Z

    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 ...

  13. Outsourcing Logistics in the Oil and Gas Industry 

    E-Print Network [OSTI]

    Herrera, Cristina 1988-

    2012-04-30T23:59:59.000Z

    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...

  14. Outsourcing Logistics in the Oil and Gas Industry

    E-Print Network [OSTI]

    Herrera, Cristina 1988-

    2012-04-30T23:59:59.000Z

    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...

  15. 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

    2011-08-15T23:59:59.000Z

    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.

  16. Impacts of increased bioenergy demand on global food markets: an AgMIP economic model intercomparison

    SciTech Connect (OSTI)

    Lotze-Campen, Hermann; von Lampe, Martin; Kyle, G. Page; Fujimori, Shinichiro; Havlik, Petr; van Meijl, Hans; Hasegawa, Tomoko; Popp, Alexander; Schmitz, Christoph; Tabeau, Andrzej; Valin, Hugo; Willenbockel, Dirk; Wise, Marshall A.

    2014-01-01T23:59:59.000Z

    Integrated Assessment studies have shown that meeting ambitious greenhouse gas mitigation targets will require substantial amounts of bioenergy as part of the future energy mix. In the course of the Agricultural Model Comparison and Improvement Project (AgMIP), five global agro-economic models were used to analyze a future scenario with global demand for ligno-cellulosic bioenergy rising to about 100 ExaJoule in 2050. From this exercise a tentative conclusion can be drawn that ambitious climate change mitigation need not drive up global food prices much, if the extra land required for bioenergy production is accessible or if the feedstock, e.g. from forests, does not directly compete for agricultural land. Agricultural price effects across models by the year 2050 from high bioenergy demand in an RCP2.6-type scenario appear to be much smaller (+5% average across models) than from direct climate impacts on crop yields in an RCP8.5-type scenario (+25% average across models). However, potential future scarcities of water and nutrients, policy-induced restrictions on agricultural land expansion, as well as potential welfare losses have not been specifically looked at in this exercise.

  17. Trucking Industry Demand for Urban Shared Use Freight Terminals

    E-Print Network [OSTI]

    Regan, Amelia C.; Golob, Thomas F.

    2003-01-01T23:59:59.000Z

    for Urban Shared Use Terminals Taniguchi, E. , M. Noritake,of public logistics terminals. Transportation Research –Demand for Urban Shared Use Terminals References Aitchison,

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

    SciTech Connect (OSTI)

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

    2014-06-01T23:59:59.000Z

    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.

  19. 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.

    2013-01-01T23:59:59.000Z

    1 Karine Lavigne 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... ICEBO-2013 Groupe ? Technologie Calibrated Results 22 ICEBO-2013 12 Groupe ? Technologie Conclusion 23 ICEBO-2013 > Calibrating model for a demand response objective : Challenging and High Effort > Capturing building and human erratic behaviour...

  20. 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

  1. 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

  2. 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

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

    E-Print Network [OSTI]

    Turitsyn, Konstantin; Ananyev, Maxim; Chertkov, Michael

    2011-01-01T23:59:59.000Z

    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.

  4. Demand Reduction

    Broader source: Energy.gov [DOE]

    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...

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Kesidis, George

    2011-01-01T23:59:59.000Z

    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.

  8. 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

    2012-01-01T23:59:59.000Z

    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) ...

  9. Alternative Fuels, Vehicle Technologies and Urban Logistics

    E-Print Network [OSTI]

    Witt, Maggie

    2012-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Ikeda, Yuichi; Kataoka, Kazuto; Ogimoto, Kazuhiko

    2011-01-01T23:59:59.000Z

    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...

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

    SciTech Connect (OSTI)

    Cowing, T.G.; Dubin, J.A.; McFadden, D.

    1982-01-01T23:59:59.000Z

    The purpose of this report is to evaluate the 1978-1979 National Interim Energy Consumption Survey (NIECS) data base in terms of its usefulness for estimating residential energy demand models based on household appliance choice and utilization decisions. The NIECS contains detailed energy usage information at the household level for 4081 households during the April 1978 to March 1979 period. Among the data included are information on the structural and thermal characteristics of the housing unit, demographic characteristics of the household, fuel usage, appliance characteristics, and actual energy consumption. The survey covers the four primary residential fuels-electricity, natural gas, fuel oil, and liquefied petroleum gas - and includes detailed information on recent household conservation and retrofit activities. Section II contains brief descriptions of the major components of the NIECS data set. Discussions are included on the sample frame and the imputation procedures used in NIECS. There are also two extensive tables, giving detailed statistical and other information on most of the non-vehicle NIECS variables. Section III contains an assessment of the NIECS data, focusing on four areas: measurement error, sample design, imputation problems, and additional data needed to estimate appliance choice/use models. Section IV summarizes and concludes the report.

  12. 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

  13. 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

    2010-05-14T23:59:59.000Z

    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.

  14. A cooperation model and demand-oriented ICT Infrastructure for SME Development and Production Networks in the field of Microsystem

    E-Print Network [OSTI]

    Boyer, Edmond

    A cooperation model and demand-oriented ICT Infrastructure for SME Development and Production of Small Medium Enterprises (SME) in this branch refers to organizational issues, arising from the specific SME´s lack of sufficient human resources and an effective management of cross company knowledge about

  15. Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings in California

    E-Print Network [OSTI]

    Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

    2008-01-01T23:59:59.000Z

    commercial buildings participating in a demand?response (buildings participating in an Automated Demand Response buildings  participating  in  an  event?driven  demand?response  (

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

    Reports and Publications (EIA)

    1998-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Catalina, T.; Virgone, J.

    2011-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Jordan, Rhonda LeNai

    2013-01-01T23:59:59.000Z

    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. ...

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

    SciTech Connect (OSTI)

    Li, Z.

    1998-01-12T23:59:59.000Z

    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.

  20. 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.

    2013-03-01T23:59:59.000Z

    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.

  1. Measuring Coordination Demand in Multirobot Teams Conventional models of multirobot control assume independent robots and tasks. This allows an additive model in which the

    E-Print Network [OSTI]

    Lewis, Michael

    independent robots and tasks. This allows an additive model in which the operator controls robots sequentially model to situations in which robots must cooperate to perform dependent tasks. In the first experiment operators controlled 2 robot teams to perform a box pushing task under high coordination demand

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

    E-Print Network [OSTI]

    Charbonnet, Danielle Andrea

    2003-01-01T23:59:59.000Z

    Committee: Dr. Patricia Haan Dr. Scott Osbom 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 ofhaving a significant impact..., for being an example of diligence and commitment to research. Finally, I would like to thank my committee co-chairs, Dr. Osborn and Dr. Haan. I appreciate your patience and support through the completion of this work. I have learned a great deal from...

  3. improve your position Master of Science Programme Production Logistic

    E-Print Network [OSTI]

    Twente, Universiteit

    and Logistic Management Production and Logistic Management (PLM) is one of the tracks within the Industrial products to customers. PLM is a broad field that requires people with knowledge of and insight in models with service consequences. Programme structure The PLM track works to provide an understanding of the impact

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

    E-Print Network [OSTI]

    Turley, Keith Pool

    1977-01-01T23:59:59.000Z

    labor in Texas increased from -0. 8 in 1951 to -2. 8 in 1975, while the long run wage elasticity of demand increased from -1. 0 to -3. 5 during the same time period. The hypothesis that Mexican immigration has had a direct influence on the supply... be expected to cause a 0. 3 per- cent short-run increase in the supply of hired farm labor in Texas, and a 0. 1 percent short-run decrease in the farm wage rate, while the long-run effect on the wage rate would be a 0. 4 percent decrease from the 1975...

  5. Model for Analysis of Energy Demand (MAED-2) | Open Energy Information

    Open Energy Info (EERE)

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of Energy Demand (MAED-2) Jump to:

  6. 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

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

    SciTech Connect (OSTI)

    Forowicz, T.

    1997-06-01T23:59:59.000Z

    The paper presents an interactive on-line package for calculation of energy and cost demands for residential infiltration and ventilation, with input and output data entry through a web browser. This is a unique tool. It represents a new kind of approach to developing software employing user (client) and server (package provider) computers. The main program, servicing {open_quotes}intelligent{close_quotes} CGI (Common Gateway Interface) calls, resides on the server and dynamically handles the whole package performance and the procedure of calculations. The {open_quotes}computing engine{close_quotes} consists of two parts: RESVENT - the previously existing program for ventilation calculations and ECONOMICS - for heating and cooling system energy and cost calculations. The user interface is designed in such a way, that it allows simultaneous access by many users from all over the world.

  11. The dynamics of the China logistics industry

    E-Print Network [OSTI]

    Cen, Xuepin

    2005-01-01T23:59:59.000Z

    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 ...

  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) 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

  14. Application of real options to reverse logistics process

    E-Print Network [OSTI]

    Kaga, Akihiro, 1975-

    2004-01-01T23:59:59.000Z

    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 ...

  15. 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

  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. 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

  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. 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...

  20. Logistics clusters : prevalence and impact

    E-Print Network [OSTI]

    Rivera Virgüez, Myriam Liliana

    2014-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Coughlin, Katie

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bakhtiary, Esmaeel

    2013-01-15T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Zhang, Liqing

    2011-07-01T23:59:59.000Z

    . . . . . . . . . . . . . . . . . . . . . 71 III.4.1. Factorial Design Experiment . . . . . . . . . . . . 72 III.4.2. Impact of System Parameters on Policy Values . . 73 III.5. Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 IV EXACT MODELS AND OPTIMAL POLICIES FOR SHIP....3.1. Problem Formulation . . . . . . . . . . . . . . . . 93 IV.3.2. Exact Optimal Policy . . . . . . . . . . . . . . . . 95 IV.4. Common Carriage Transportation . . . . . . . . . . . . . 100 IV.4.1. Problem Formulation...

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

    E-Print Network [OSTI]

    Charbonnet, Danielle Andrea

    2003-01-01T23:59:59.000Z

    in the representative river system using benthic chambers. A finite difference model was developed based on Fick's Law of Diffusion. Mass transfer principles are used to perform a mass balance on the oxygen concentrations in the sediment in order to determine SOD...

  5. 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

  6. 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

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

    E-Print Network [OSTI]

    Deonás, Nikolaos, 1978-

    2004-01-01T23:59:59.000Z

    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 ...

  8. 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

  9. 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

  10. 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;

  11. 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

  12. 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

  13. Transportation Demand

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes...

  14. 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...

  15. Unintended environmental impacts of nighttime freight logistics activities

    E-Print Network [OSTI]

    Sathaye, Nakul; Harley, Robert; Madanat, Samer

    2009-01-01T23:59:59.000Z

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

  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. 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

  20. 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

  1. 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

  2. Logistics

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

    Room 253. There is no official hotel or room block. There is no registration fee. LBNL Visitor Info LBNL Map with Building 15 identified PDF Berkeley Lab Guest House Nearby...

  3. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your HomeLatestCenterLogging in Logging in

  4. 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

  5. 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

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

    E-Print Network [OSTI]

    Smith, Emily (Emily C.)

    2010-01-01T23:59:59.000Z

    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 ...

  7. Demand Response for Ancillary Services

    SciTech Connect (OSTI)

    Alkadi, Nasr E [ORNL; Starke, Michael R [ORNL

    2013-01-01T23:59:59.000Z

    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.

  8. Feedstock Logistics | Department of Energy

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6AwardsScorecardLogistics Feedstock

  9. Demand Dispatch-Intelligent

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

    CA Control Areas CO 2 Carbon Dioxide CHP Combined Heat and Power CPP Critical Peak Pricing DG Distributed Generation DOE Department of Energy DR Demand Response DRCC Demand...

  10. Workshop: Modelos Digitais de Elevao: Demandas e Perspectivas (Digital Elevation Models: Demands and Perspectives) Coordenador: Mrcio de Morisson Valeriano (INPE)

    E-Print Network [OSTI]

    in countries like Brazil, concerning land evaluation, planning, management and conservation. Despite this potential benefit, the actual impacts on current survey and mapping procedures are still below its, seldom answered fully and properly. This session will address the demands of MDE analysis for land survey

  11. air passenger demand: Topics by E-print Network

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

    Websites Summary: 1 Aggregated Modeling and Control of Air Conditioning Loads for Demand Response Wei Zhang, Member, IEEE Abstract--Demand response is playing an...

  12. air cargo demand: Topics by E-print Network

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

    Websites Summary: 1 Aggregated Modeling and Control of Air Conditioning Loads for Demand Response Wei Zhang, Member, IEEE Abstract--Demand response is playing an...

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    Addressing Energy Demand through Demand Response:both the avoided energy costs (and demand charges) as wellCoordination of Energy Efficiency and Demand Response,

  15. 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

  16. 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

  17. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01T23:59:59.000Z

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

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

    Energy Savers [EERE]

    Analysis of Transportation and Logistics Challenges Affecting the Deployment of Larger Wind Turbines: Summary of Results J. Cotrell, T. Stehly, J. Johnson, J. O. Roberts, Z....

  19. MANUFACTURING LOGISTICS RESEARCH: TAXONOMY AND DIRECTIONS

    E-Print Network [OSTI]

    Wu, David

    MANUFACTURING LOGISTICS RESEARCH: TAXONOMY AND DIRECTIONS S. DAVID WU Lehigh University, Bethlehem formed in the workshop. To convey this vision we suggest a taxonomy that characterizes research problems

  20. 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,...

  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. Efficient Online Classification using an Ensemble of Bayesian Linear Logistic Regressors

    E-Print Network [OSTI]

    Vijayakumar, Sethu

    a linear logistic regression as the base classifier with Bayesian learning for the regression The Randomly Varying Coefficient model approximates a multivariate non-linear function using a set of localEfficient Online Classification using an Ensemble of Bayesian Linear Logistic Regressors Narayanan

  3. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1992-04-01T23:59:59.000Z

    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.

  4. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1991-09-01T23:59:59.000Z

    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.

  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. Woody Biomass Logistics Robert Keefe1

    E-Print Network [OSTI]

    14 Woody Biomass Logistics Robert Keefe1 , Nathaniel Anderson2 , John Hogland2 , and Ken Muhlenfeld The economics of using woody biomass as a fuel or feedstock for bioenergy applications is often driven by logistical considerations. Depending on the source of the woody biomass, the acquisition cost of the material

  7. 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.

    2014-01-01T23:59:59.000Z

    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.

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

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

    E-Print Network [OSTI]

    El Amrani, Ali (Ali El Jautei)

    2007-01-01T23:59:59.000Z

    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 ...

  15. Visualizing the logistic map with a microcontroller

    E-Print Network [OSTI]

    Juan D. Serna; Amitabh Joshi

    2011-12-25T23:59:59.000Z

    The logistic map is one of the simplest nonlinear dynamical systems that clearly exhibit the route to chaos. In this paper, we explored the evolution of the logistic map using an open-source microcontroller connected to an array of light emitting diodes (LEDs). We divided the one-dimensional interval $[0,1]$ into ten equal parts, and associated and LED to each segment. Every time an iteration took place a corresponding LED turned on indicating the value returned by the logistic map. By changing some initial conditions of the system, we observed the transition from order to chaos exhibited by the map.

  16. Visualizing the logistic map with a microcontroller

    E-Print Network [OSTI]

    Serna, Juan D

    2011-01-01T23:59:59.000Z

    The logistic map is one of the simplest nonlinear dynamical systems that clearly exhibit the route to chaos. In this paper, we explored the evolution of the logistic map using an open-source microcontroller connected to an array of light emitting diodes (LEDs). We divided the one-dimensional interval $[0,1]$ into ten equal parts, and associated and LED to each segment. Every time an iteration took place a corresponding LED turned on indicating the value returned by the logistic map. By changing some initial conditions of the system, we observed the transition from order to chaos exhibited by the map.

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

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01T23:59:59.000Z

    We have studied a low energy building on a campus of theEnergyPlus Model in a Low Energy Campus Building Junqiao HanEnergyPlus Model in a Low Energy Campus Building Junqiao Han

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    Data for Automated Demand Response in Commercial Buildings,Demand Response Infrastructure for Commercial Buildings",demand response and energy efficiency functions into the design of buildings,

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

    E-Print Network [OSTI]

    Hwang, Sung Ook

    2014-12-12T23:59:59.000Z

    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...

  2. Implementation of Benchmarking Transportation Logistics Practices and Future Benchmarking Organizations

    SciTech Connect (OSTI)

    Thrower, A.W. [U.S. Department of Energy, Office of Civilian Radioactive Waste Management, Washington, DC (United States); Patric, J. [Booz Allen Hamilton, Washington, DC (United States); Keister, M. [Idaho National Laboratory, Idaho Falls, ID (United States)

    2008-07-01T23:59:59.000Z

    The purpose of the Office of Civilian Radioactive Waste Management's (OCRWM) Logistics Benchmarking Project is to identify established government and industry practices for the safe transportation of hazardous materials which can serve as a yardstick for design and operation of OCRWM's national transportation system for shipping spent nuclear fuel and high-level radioactive waste to the proposed repository at Yucca Mountain, Nevada. The project will present logistics and transportation practices and develop implementation recommendations for adaptation by the national transportation system. This paper will describe the process used to perform the initial benchmarking study, highlight interim findings, and explain how these findings are being implemented. It will also provide an overview of the next phase of benchmarking studies. The benchmarking effort will remain a high-priority activity throughout the planning and operational phases of the transportation system. The initial phase of the project focused on government transportation programs to identify those practices which are most clearly applicable to OCRWM. These Federal programs have decades of safe transportation experience, strive for excellence in operations, and implement effective stakeholder involvement, all of which parallel OCRWM's transportation mission and vision. The initial benchmarking project focused on four business processes that are critical to OCRWM's mission success, and can be incorporated into OCRWM planning and preparation in the near term. The processes examined were: transportation business model, contract management/out-sourcing, stakeholder relations, and contingency planning. More recently, OCRWM examined logistics operations of AREVA NC's Business Unit Logistics in France. The next phase of benchmarking will focus on integrated domestic and international commercial radioactive logistic operations. The prospective companies represent large scale shippers and have vast experience in safely and efficiently shipping spent nuclear fuel and other radioactive materials. Additional business processes may be examined in this phase. The findings of these benchmarking efforts will help determine the organizational structure and requirements of the national transportation system. (authors)

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

    Office of Environmental Management (EM)

    Initial Comments of Honeywell, Inc. on Policy and Logistical Challenges in Implementing Smart Grid Solutions Initial Comments of Honeywell, Inc. on Policy and Logistical Challenges...

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

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

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

  5. NAP Coalition Response to DOE RFI: Addressing Policy and Logistical...

    Energy Savers [EERE]

    NAP Coalition Response to DOE RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation NAP Coalition Response to DOE RFI: Addressing Policy and Logistical...

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

    Office of Environmental Management (EM)

    2 Logistics and Compatibility with Existing Infrastructure Throughout Supply Chain Challenge 2 Logistics and Compatibility with Existing Infrastructure Throughout Supply Chain...

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

    Energy Savers [EERE]

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

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

    Energy Savers [EERE]

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

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

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

    of DRSG to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges Association of Home Appliance Manufacturers Comments on Smart Grid RFI Addressing Policy and Logistical...

  10. Cargo revenue management for space logistics

    E-Print Network [OSTI]

    Armar, Nii A

    2009-01-01T23:59:59.000Z

    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 response enabling technology development

    E-Print Network [OSTI]

    Arens, Edward; Auslander, David; Huizenga, Charlie

    2008-01-01T23:59:59.000Z

    behavior in developing a demand response future. Phase_II_Demand Response Enabling Technology Development Phase IIYi Yuan The goal of the Demand Response Enabling Technology

  12. Demand Response Spinning Reserve Demonstration

    E-Print Network [OSTI]

    2007-01-01T23:59:59.000Z

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

  13. Demand response enabling technology development

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    Demand Response Enabling Technology Development Phase IEfficiency and Demand Response Programs for 2005/2006,Application to Demand Response Energy Pricing” SenSys 2003,

  14. Automated Demand Response and Commissioning

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    and Demand Response in Commercial Buildings”, Lawrencesystems. Demand Response using HVAC in Commercial BuildingsDemand Response Test in Large Facilities13 National Conference on Building

  15. Electricity Demand and Energy Consumption Management System

    E-Print Network [OSTI]

    Sarmiento, Juan Ojeda

    2008-01-01T23:59:59.000Z

    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...

  16. 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

  17. Energy Demand Staff Scientist

    E-Print Network [OSTI]

    Eisen, Michael

    Energy Demand in China Lynn Price Staff Scientist February 2, 2010 #12;Founded in 1988 Focused,000 2,000 3,000 4,000 5,000 6,000 7,000 2007 USChina #12;Overview:Overview: Key Energy Demand DriversKey Energy Demand Drivers · 290 million new urban residents 1990-2007 · 375 million new urban residents 2007

  18. 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

    2014-07-01T23:59:59.000Z

    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.

  19. Industrial Demand Module

    Gasoline and Diesel Fuel Update (EIA)

    Boiler, Steam, and Cogeneration (BSC) Component. The BSC Component satisfies the steam demand from the PA and BLD Components. In some industries, the PA Component produces...

  20. Demand Response In California

    Broader source: Energy.gov [DOE]

    Presentation covers the demand response in California and is given at the FUPWG 2006 Fall meeting, held on November 1-2, 2006 in San Francisco, California.

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01T23:59:59.000Z

    which combines the two cooling supply fans to just one asquantitatively the two cooling supply fans in the EnergyPlussupply fan has a capacity of 25,000 cfm. Model uses district heating and cooling

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

    E-Print Network [OSTI]

    Rebentisch, Dr. Eric E.

    2004-07-30T23:59:59.000Z

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

  3. 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

  4. 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

  5. Controlling electric power demand

    SciTech Connect (OSTI)

    Eikenberry, J.

    1984-11-15T23:59:59.000Z

    Traditionally, demand control has not been viewed as an energy conservation measure, its intent being to reduce the demand peak to lower the electric bill demand charge by deferring the use of a block of power to another demand interval. Any energy savings were essentially incidental and unintentional, resulting from curtailment of loads that could not be assumed at another time. This article considers a microprocessor-based multiplexed system linked to a minicomputer to control electric power demand in a winery. In addition to delivering an annual return on investment of 55 percent in electric bill savings, the system provides a bonus in the form of alarm and monitoring capability for critical processes.

  6. 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

  7. 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

  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

    2014-12-06T23:59:59.000Z

    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. Electronic Circuit Realization of the Logistic Map

    E-Print Network [OSTI]

    Madhekar Suneel

    2006-03-11T23:59:59.000Z

    An electronic circuit realization of the logistic difference equation is presented using analog electronics. The behavior of the realized system is evaluated against computer simulations of the same. The circuit is found to exhibit the entire range of dynamics of the logistic equation: fixed points, periodicity, period doubling, chaos and intermittency. Quantitative measurements of the dynamics of the realized system are presented and are found to be in good agreement with the theoretical values. Some possible applications of such a realization are briefly discussed.

  10. Supply Chain Logistics Post Recovery Landscape

    E-Print Network [OSTI]

    Minnesota, University of

    #12;6 Rail Rebirth.... ....Key Realities · More Energy Efficient · Lower Emissions · Lower Cost Changes · Green Logistics · Green measures, Certifications, Urban Heat Island, Stormwater, Energy 2,267$ Other Carriers Railroads 63 210$ Water 39 130$ Oil Pipeline 10 33$ Air 40 133$ Forwarders 32

  11. Logistical Networking Sharing More than the Wires

    E-Print Network [OSTI]

    Plank, Jim

    Network as approaches to flexible implementation of advanced network protocols. We describe the Internet. The goal of computer networking is typically taken to be communication, i.e. the transmission of data1 Logistical Networking Sharing More than the Wires Micah Beck, Terry Moore, Jim Plank, Martin

  12. Center for Excellence in Logistics and Distribution

    E-Print Network [OSTI]

    Noble, James S.

    #12;CELDi Focus Areas Logistics Systems Analysis and Design Material Flow Design & Improvement of in our company." · "I took away 4-5 potential ideas to go forward with to the company." · "I found four Center Designated Projects #12;Member Access to CELDi Products Login Page Project Descriptions

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    An Exploration of Australian Petrol Demand: Unobserv- ableRelative Prices: Simulating Petrol Con- sumption Behavior.habit stock variable in a petrol demand regression, they

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

    E-Print Network [OSTI]

    Nnadili, Christopher Dozie, 1978-

    2009-01-01T23:59:59.000Z

    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 ...

  15. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01T23:59:59.000Z

    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

  16. Physically-based demand modeling

    E-Print Network [OSTI]

    Calloway, Terry Marshall

    1980-01-01T23:59:59.000Z

    )) ] t = E[ J' exp [- F(t -t )] T (~ ) dt1 1 os 1 t exp F ~2 ] T (zZ) dz2 0 t t = exp (- 2Ft) 7 f exp LP(&1 + 2 ] C(~2 - ~1) 0 0 d~) d Let the function g be given by 1 + 2)] ELT ( 1) T 34 t t t g(Tly T2) dT1 dT2 J J' g('Tl, s2) dT) dT2 0 0 0 0... + f J g(~1, ~2) d~2 d~l 0 0 The arguments of g are dummy variables, so t t J g(tl, tZ) dtl dt2 = f I g(t2, tl ) d~2 d~ 0 0 0 0 Since g tl' 2 g t2' tl t t '2 J' J' g(~1, ~2) dvl dt2= 2 J' J' g(xl, v2) deal d 2. 0 0 0 0 Now an assumption is made...

  17. 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

  18. 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 ...

  19. CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Manager Kae Lewis Acting Manager Demand Analysis Office Valerie T. Hall Deputy Director Energy Efficiency Demand Forecast report is the product of the efforts of many current and former California Energy

  20. Autonomous Demand Response for Primary Frequency Regulation

    SciTech Connect (OSTI)

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

    2012-02-28T23:59:59.000Z

    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.

  1. CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST

    E-Print Network [OSTI]

    procurement process at the California Public Utilities Commission. This forecast was produced with the Energy Commission demand forecast models. Both the staff draft energy consumption and peak forecasts are slightly and commercial sectors. Keywords Electricity demand, electricity consumption, demand forecast, weather

  2. Demand Response Opportunities and Enabling Technologies for Data Centers: Findings From Field Studies

    E-Print Network [OSTI]

    Ghatikar, Girish

    2014-01-01T23:59:59.000Z

    centers. 4. Demand Response Strategies Building from theBuilding Control Strategies and Techniques for Demand Response.Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Building

  3. Field Test Results of Automated Demand Response in a Large Office Building

    E-Print Network [OSTI]

    Han, Junqiao

    2008-01-01T23:59:59.000Z

    Building Control Strategies and Techniques for Demand Response,Automated Demand Response in a Large Office Building JunqiaoDemand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Building

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

    E-Print Network [OSTI]

    Berenguer Falguera, Gemma

    2012-01-01T23:59:59.000Z

    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,

  5. 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

    2009-01-01T23:59:59.000Z

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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

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

    E-Print Network [OSTI]

    Dalang, Robert C.

    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

  12. 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

  13. 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

  14. 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

  15. ENERGY DEMAND FORECAST METHODS REPORT

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report to the California Energy Demand 2006-2016 Staff Energy Demand Forecast Report STAFFREPORT June 2005 CEC-400. Hall Deputy Director Energy Efficiency and Demand Analysis Division Scott W. Matthews Acting Executive

  16. Demand Forecast INTRODUCTION AND SUMMARY

    E-Print Network [OSTI]

    electricity demand forecast means that the region's electricity needs would grow by 5,343 average megawattsDemand 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

  17. Techno-economic analysis of using corn stover to supply heat and power to a corn ethanol plant - Part 1: Cost of feedstock supply logistics

    SciTech Connect (OSTI)

    Sokhansanj, Shahabaddine [ORNL; Mani, Sudhagar [University of Georgia; Togore, Sam [U.S. Department of Energy; Turhollow Jr, Anthony F [ORNL

    2010-01-01T23:59:59.000Z

    Supply of corn stover to produce heat and power for a typical 170 dam3 dry mill ethanol plant is proposed. The corn ethanol plant requires 5.6 MW of electricity and 52.3 MW of process heat, which creates the annual stover demand of as much as 140 Gg. The corn stover supply system consists of collection, preprocessing, transportation and on-site fuel storage and preparation to produce heat and power for the ethanol plant. Economics of the entire supply system was conducted using the Integrated Biomass Supply Analysis and Logistics (IBSAL) simulation model. Corn stover was delivered in three formats (square bales, dry chops and pellets) to the combined heat and power plant. Delivered cost of biomass ready to be burned was calculated at 73 $ Mg-1 for bales, 86 $ Mg-1 for pellets and 84 $ Mg-1 for field chopped biomass. Among the three formats of stover supply systems, delivered cost of pelleted biomass was the highest due to high pelleting cost. Bulk transport of biomass in the form of chops and pellets can provide a promising future biomass supply logistic system in the US, if the costs of pelleting and transport are minimized.

  18. International Oil Supplies and Demands. Volume 2

    SciTech Connect (OSTI)

    Not Available

    1992-04-01T23:59:59.000Z

    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.

  19. International Oil Supplies and Demands. Volume 1

    SciTech Connect (OSTI)

    Not Available

    1991-09-01T23:59:59.000Z

    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.

  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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITIONPortal DecisionRichlandDelegations,Demand

  1. NERSC/DOE BES Requirements 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLoveReference Materials ReferenceReference MaterialsLogistics

  2. NERSC/DOE HEP 2012 Review 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLoveReference MaterialsReferenceReferenceMartinWilliamLogistics

  3. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your HomeLatestCenterLogging in Logging in toLogistical Multicast

  4. Logistic Solar SA | Open Energy Information

    Open Energy Info (EERE)

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |Jilin ZhongdiantouLichuan CityLiqcrytech LLCLiuzhouLogan CountyLogistic

  5. 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)

    NONE

    1995-04-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    BEST PRACTICES AND RESULTS OF DR IMPLEMENTATION . 31 Encouraging End-User Participation: The Role of Incentives 16 Demand Response

  7. 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.

    2013-03-28T23:59:59.000Z

    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.?

  8. CALIFORNIA ENERGY DEMAND 2014-2024 PRELIMINARY

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 2014-2024 PRELIMINARY FORECAST Volume 1: Statewide Electricity Demand, End-User Natural Gas Demand, and Energy Efficiency The California Energy Demand 2014-2024 Preliminary Forecast, Volume 1: Statewide Electricity Demand

  9. Electrical Demand Control

    E-Print Network [OSTI]

    Eppelheimer, D. M.

    1984-01-01T23:59:59.000Z

    to the reservoir. Util i ties have iiting for a number of years. d a rebate for reducing their When the utility needs to shed is sent to turn off one or mnre mer's electric water heater or equipment. wges have enticed more and more same strategies... an increased need for demand 1 imiting. As building zone size is reduced, total instal led tonnage increases due to inversfty. Each compressor is cycled by a space thermostat. There is no control system to limit the number of compressors running at any...

  10. Demand Response: Load Management Programs 

    E-Print Network [OSTI]

    Simon, J.

    2012-01-01T23:59:59.000Z

    CenterPoint Load 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...

  11. Demand Response: Load Management Programs

    E-Print Network [OSTI]

    Simon, J.

    2012-01-01T23:59:59.000Z

    CenterPoint Load 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...

  12. Satisfiability of Elastic Demand in the Smart Grid

    E-Print Network [OSTI]

    Tomozei, Dan-Cristian

    2010-01-01T23:59:59.000Z

    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.

  13. Ethanol Demand in United States Gasoline Production

    SciTech Connect (OSTI)

    Hadder, G.R.

    1998-11-24T23:59:59.000Z

    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.

  14. Bio-energy Logistics Network Design Under Price-based Supply and Yield Uncertainty 

    E-Print Network [OSTI]

    Memisoglu, Gokhan

    2014-12-10T23:59:59.000Z

    network. In the second study, we consider a two-stage stochastic problem to model farm-to-biorefinery biomass logistics while designing a policy that encourages farmers to plant biomass energy crops by offering them a unit wholesale price. In the first...

  15. PAR and Supply Distribution System The PAR Program is administered by Materials Logistics (Central Distribution)

    E-Print Network [OSTI]

    Oliver, Douglas L.

    Logistics (Central Distribution) Services, a division of Materials Management. · The PAR Program is focused Administration: 1. See attached exhibit Models, 1-3 2. See Related Materials Management Forms 3. Weekly action group meeting(s) established to continue the work and ensuring good supply chain/materials management

  16. 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

  17. 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 personnel, lack of business diversification, reliance on strategic, third-party relationships, financial

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

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

    Smart 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...

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

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

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

  20. Supply chains and carbon......2 Biofuels logistics research ......3

    E-Print Network [OSTI]

    Minnesota, University of

    · Supply chains and carbon......2 · Biofuels logistics research ......3 · Transport and land use ..........4 · Career expo .............................4 A monthly report on transportation research

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

    Energy Savers [EERE]

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

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

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

    Pepco Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical Challenges. Pepco Holdings, Inc. (PHI) is pleased to respond to the US Department of Energy (DOE) request for...

  3. INVENTORY MANAGEMENT WITH PARTIALLY OBSERVED NONSTATIONARY DEMAND

    E-Print Network [OSTI]

    Ludkovski, Mike

    INVENTORY MANAGEMENT WITH PARTIALLY OBSERVED NONSTATIONARY DEMAND ERHAN BAYRAKTAR AND MICHAEL LUDKOVSKI Abstract. We consider a continuous-time model for inventory management with Markov mod- ulated non inventory level. We then solve this equivalent formulation and directly characterize an optimal inventory

  4. Demand Response Programs, 6. edition

    SciTech Connect (OSTI)

    NONE

    2007-10-15T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Aden, Nathaniel

    2010-01-01T23:59:59.000Z

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

  6. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    gas demands are forecast for the four natural gas utilitythe 2006-2016 Forecast. Commercial natural gas demand isforecasts and demand scenarios. Electricity planning area Natural gas

  7. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

  8. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

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

  9. Strategies for Demand Response in Commercial Buildings

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    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

  10. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01T23:59:59.000Z

    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

  11. Home Network Technologies and Automating Demand Response

    E-Print Network [OSTI]

    McParland, Charles

    2010-01-01T23:59:59.000Z

    and Automating Demand Response Charles McParland, Lawrenceand Automating Demand Response Charles McParland, LBNLCommercial and Residential Demand Response Overview of the

  12. Barrier Immune Radio Communications for Demand Response

    E-Print Network [OSTI]

    Rubinstein, Francis

    2010-01-01T23:59:59.000Z

    of Fully Automated Demand Response in Large Facilities,”Fully Automated Demand Response Tests in Large Facilities.for Automated Demand Response. Technical Document to

  13. Wireless Demand Response Controls for HVAC Systems

    E-Print Network [OSTI]

    Federspiel, Clifford

    2010-01-01T23:59:59.000Z

    Strategies Linking Demand Response and Energy Efficiency,”Fully Automated Demand Response Tests in Large Facilities,technical support from the Demand Response Research Center (

  14. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    District Small Business Summer Solutions: Energy and DemandSummer Solutions: Energy and Demand Impacts Monthly Energy> B-2 Coordination of Energy Efficiency and Demand Response

  15. Coupling Renewable Energy Supply with Deferrable Demand

    E-Print Network [OSTI]

    Papavasiliou, Anthony

    2011-01-01T23:59:59.000Z

    World: Renewable Energy and Demand Response Proliferation intogether the renewable energy and demand response communityimpacts of renewable energy and demand response integration

  16. DEMAND CONTROLLED VENTILATION AND CLASSROOM VENTILATION

    E-Print Network [OSTI]

    Fisk, William J.

    2014-01-01T23:59:59.000Z

    of energy and environmental benefits of demand controlledindicate the energy and cost savings for demand controlled24) (California Energy Commission 2008), demand controlled

  17. Demand Controlled Ventilation and Classroom Ventilation

    E-Print Network [OSTI]

    Fisk, William J.

    2014-01-01T23:59:59.000Z

    of energy and environmental benefits of demand controlled indicate the energy and cost savings for  demand controlled 24) (California Energy  Commission 2008), demand controlled 

  18. Hawaiian Electric Company Demand Response Roadmap Project

    E-Print Network [OSTI]

    Levy, Roger

    2014-01-01T23:59:59.000Z

    integrating HECO and Hawaii Energy demand response relatedpotential. Energy efficiency and demand response efforts areBoth  energy  efficiency  and  demand  response  should  

  19. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

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

  20. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

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

  1. Hawaiian Electric Company Demand Response Roadmap Project

    E-Print Network [OSTI]

    Levy, Roger

    2014-01-01T23:59:59.000Z

    and best practices to guide HECO demand response developmentbest practices for DR renewable integration – Technically demand responseof best practices. This is partially because demand response

  2. Strategies for Demand Response in Commercial Buildings

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    Strategies for Demand Response in Commercial Buildings DavidStrategies for Demand Response in Commercial Buildings Davidadjusted for demand response in commercial buildings. The

  3. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Demand Response Systems National Conference on BuildingDemand Response Systems National Conference on BuildingDemand Response Systems National Conference on Building

  4. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    In terms of demand response capability, building operatorsautomated demand response and improve building energy andand demand response features directly into building design

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    DEMAND RESPONSE .7 Wholesale Marketuse at times of high wholesale market prices or when systemenergy expenditure. In wholesale markets, spot energy prices

  6. 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 of appliance specific adapters. Designed and implemented GHS Modeled the demand-side energy management problem (NP-hard) Designed a scheduling algorithm for demand side energy management Showed that our

  7. 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

    2011-04-29T23:59:59.000Z

    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.

  8. Wireless Demand Response Controls for HVAC Systems

    SciTech Connect (OSTI)

    Federspiel, Clifford

    2009-06-30T23:59:59.000Z

    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.

  9. Grid Integration of Aggregated Demand Response, Part 1: Load Availability Profiles and Constraints for the Western Interconnection

    E-Print Network [OSTI]

    Olsen, Daniel J.

    2014-01-01T23:59:59.000Z

    U.S. Department of Energy (DOE) Demand Response and Energy2006-005. California Energy Commission, Demand ForecastingPart 2: Modeling Energy—Limited Demand Response in a

  10. Demand Response and Energy Efficiency

    E-Print Network [OSTI]

    Demand Response & Energy Efficiency International Conference for Enhanced Building Operations ESL-IC-09-11-05 Proceedings of the Ninth International Conference for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 2 ?Less than 5... for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 5 What is Demand Response? ?The temporary reduction of electricity demanded from the grid by an end-user in response to capacity shortages, system reliability events, or high wholesale...

  11. Demand Response Technology Roadmap A

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

    workshop agendas, presentation materials, and transcripts. For the background to the Demand Response Technology Roadmap and to make use of individual roadmaps, the reader is...

  12. ELECTRICITY DEMAND FORECAST COMPARISON REPORT

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION ELECTRICITY DEMAND FORECAST COMPARISON REPORT STAFFREPORT June 2005.................................................................................................................................3 PACIFIC GAS & ELECTRIC PLANNING AREA ........................................................................................9 Commercial Sector

  13. Driving Demand | Department of Energy

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

    strategies, results achieved to date, and advice for other programs. Driving Demand for Home Energy Improvements. This guide, developed by the Lawrence Berkeley National...

  14. Demand Response Technology Roadmap M

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

    between May 2014 and February 2015. The Bonneville Power Administration (BPA) Demand Response Executive Sponsor Team decided upon the scope of the project in May. Two subsequent...

  15. 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

  16. CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST

    E-Print Network [OSTI]

    Energy Commission's final forecasts for 2012­2022 electricity consumption, peak, and natural gas demand Electricity, demand, consumption, forecast, weather normalization, peak, natural gas, self generation CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand

  17. Source Recertification, Refurbishment, and Transfer Logistics

    SciTech Connect (OSTI)

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

    2013-09-01T23:59:59.000Z

    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.

  18. Transportation Demand This

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific and associated technology...

  19. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01T23:59:59.000Z

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

  20. 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

  1. UBC STUDENT HOUSING DEMAND STUDY

    E-Print Network [OSTI]

    Ollivier-Gooch, Carl

    UBC STUDENT HOUSING DEMAND STUDY Presented by Nancy Knight and Andrew Parr FEBRUARY 5, 2010 #12;PURPOSE · To determine the need/demand for future on- campus student housing · To address requests from · A survey of students, and analysis of housing markets, and preparation of a forecast · The timeline

  2. Harnessing the power of demand

    SciTech Connect (OSTI)

    Sheffrin, Anjali; Yoshimura, Henry; LaPlante, David; Neenan, Bernard

    2008-03-15T23:59:59.000Z

    Demand response can provide a series of economic services to the market and also provide ''insurance value'' under low-likelihood, but high-impact circumstances in which grid reliablity is enhanced. Here is how ISOs and RTOs are fostering demand response within wholesale electricity markets. (author)

  3. ERCOT Demand Response Paul Wattles

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    changes or incentives.' (FERC) · `Changes in electric use by demand-side resources from their normalERCOT Demand Response Paul Wattles Senior Analyst, Market Design & Development, ERCOT Whitacre thermostats -- Other DLC Possible triggers: Real-time prices, congestion management, 4CP response paid

  4. Nordic TSOs' Action Plans in enhancing and monitoring Demand Response

    E-Print Network [OSTI]

    THE OPERATIONAL SECURITY OF THE POWER SYSTEM AND TO MAINTAIN THE NATIONAL MOMENTARY BALANCE for the Nordic market model functioning. The importance of demand re- sponse is increasing while the powerNordic TSOs' Action Plans in enhancing and monitoring Demand Response Nordel Market Committee

  5. Automated Demand Response and Commissioning

    SciTech Connect (OSTI)

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

    2005-04-01T23:59:59.000Z

    This paper describes the results from the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability and manage electricity costs. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. We refer to this as Auto-DR. The evaluation of the control and communications must be properly configured and pass through a set of test stages: Readiness, Approval, Price Client/Price Server Communication, Internet Gateway/Internet Relay Communication, Control of Equipment, and DR Shed Effectiveness. New commissioning tests are needed for such systems to improve connecting demand responsive building systems to the electric grid demand response systems.

  6. 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.

    2014-01-06T23:59:59.000Z

    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.

  7. 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

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

    E-Print Network [OSTI]

    Alper, Osman Engin

    2010-01-01T23:59:59.000Z

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

  9. 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

  10. 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

    2010-01-01T23:59:59.000Z

    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 ...

  11. NALDA (Naval Aviation Logistics Data Analysis) CAI (computer aided instruction)

    SciTech Connect (OSTI)

    Handler, B.H. (Oak Ridge K-25 Site, TN (USA)); France, P.A.; Frey, S.C.; Gaubas, N.F.; Hyland, K.J.; Lindsey, A.M.; Manley, D.O. (Oak Ridge Associated Universities, Inc., TN (USA)); Hunnum, W.H. (North Carolina Univ., Chapel Hill, NC (USA)); Smith, D.L. (Memphis State Univ., TN (USA))

    1990-07-01T23:59:59.000Z

    Data Systems Engineering Organization (DSEO) personnel developed a prototype computer aided instruction CAI system for the Naval Aviation Logistics Data Analysis (NALDA) system. The objective of this project was to provide a CAI prototype that could be used as an enhancement to existing NALDA training. The CAI prototype project was performed in phases. The task undertaken in Phase I was to analyze the problem and the alternative solutions and to develop a set of recommendations on how best to proceed. The findings from Phase I are documented in Recommended CAI Approach for the NALDA System (Duncan et al., 1987). In Phase II, a structured design and specifications were developed, and a prototype CAI system was created. A report, NALDA CAI Prototype: Phase II Final Report, was written to record the findings and results of Phase II. NALDA CAI: Recommendations for an Advanced Instructional Model, is comprised of related papers encompassing research on computer aided instruction CAI, newly developing training technologies, instructional systems development, and an Advanced Instructional Model. These topics were selected because of their relevancy to the CAI needs of NALDA. These papers provide general background information on various aspects of CAI and give a broad overview of new technologies and their impact on the future design and development of training programs. The paper within have been index separately elsewhere.

  12. 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

  13. 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

  14. The Value of Lead Logistics Services Oliver Schneider1

    E-Print Network [OSTI]

    Boyer, Edmond

    for Enterprise Sciences (BWI), 8092 Zurich, Switzerland oschneider@ethz.ch 2 Kuehne + Nagel Management AG, 8834 Schindellegi, Switzerland andre.lindner@kuehne-nagel.com Abstract. Logistics Services are one of the most

  15. Logistics in a Low Carbon World Dr Maja I. Piecyk

    E-Print Network [OSTI]

    Painter, Kevin

    Government #12;Potential CO2 Reduction and Costs in Different Sectors (idealised) Logistics Agriculture Other, batteries, solar panels etc. 0 100 200 300 400 500 600 700 800 900 1000 Natural gas Nuclear Coal Wind

  16. Topics in ordinal logistic regression and its applications

    E-Print Network [OSTI]

    Kim, Hyun Sun

    2004-11-15T23:59:59.000Z

    Sample size calculation methods for ordinal logistic regression are proposed to test statistical hypotheses. The author was motivated to do this work by the need for statistical analysis of the red imported ?re ants data. The proposed methods...

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

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Hanover, MD 21076-1320 #12;NASA/CP--2006­214202 NASA Space Exploration Logistics Workshop Proceedings Standard Drive Hanover, MD 21076-1320 (301) 621-0390 #12;4 Massachusetts Institute of Technology SOLE

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

    Broader source: Energy.gov [DOE]

    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.

  19. 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

  20. Automated Demand Response and Commissioning

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    Conference on Building Commissioning: May 4-6, 2005 Motegi,National Conference on Building Commissioning: May 4-6, 2005Demand Response and Commissioning Mary Ann Piette, David S.

  1. Marketing Demand-Side Management

    E-Print Network [OSTI]

    O'Neill, M. L.

    1988-01-01T23:59:59.000Z

    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...

  2. Community Water Demand in Texas

    E-Print Network [OSTI]

    Griffin, Ronald C.; Chang, Chan

    Solutions to Texas water policy and planning problems will be easier to identify once the impact of price upon community water demand is better understood. Several important questions cannot be addressed in the absence of such information...

  3. Demand response enabling technology development

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    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.

  4. Overview of Demand Side Response

    Broader source: Energy.gov [DOE]

    Presentation—given at the Federal Utility Partnership Working Group (FUPWG) Fall 2008 meeting—discusses the utility PJM's demand side response (DSR) capabilities, including emergency and economic responses.

  5. Driving change : evaluating strategies to control automotive energy demand growth in China

    E-Print Network [OSTI]

    Bonde Åkerlind, Ingrid Gudrun

    2013-01-01T23:59:59.000Z

    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 ...

  6. 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.

    2007-05-01T23:59:59.000Z

    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.

  7. Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    A. Barat, D. Watson. 2006 Demand Response Spinning ReserveKueck, and B. Kirby 2008. Demand Response Spinning ReserveReport 2009. Open Automated Demand Response Communications

  8. Demand Response and Open Automated Demand Response Opportunities for Data Centers

    E-Print Network [OSTI]

    Mares, K.C.

    2010-01-01T23:59:59.000Z

    Standardized Automated Demand Response Signals. Presented atand Automated Demand Response in Industrial RefrigeratedActions for Industrial Demand Response in California. LBNL-

  9. Assessing the demand for phytosterol-enriched products

    E-Print Network [OSTI]

    Yuan, Yan

    2009-05-15T23:59:59.000Z

    . Cross-price elasticities also suggest that consumers tend to treat Benecol and Take Control separately from the other margarine brands. We also used the estimated demand system, along with a Nash-Bertrand model of competition to indirectly estimate...

  10. Electricity Distribution Networks: Investment and Regulation, and Uncertain Demand

    E-Print Network [OSTI]

    Jamasb, Tooraj; Marantes, Cristiano

    2011-01-31T23:59:59.000Z

    " and describes a network investment assessment model developed as a tool to identify and assess the investment requirements of distribution networks. A broadening of the scope of network investments to include demand-related measures that can reduce the need...

  11. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 2014­2024 REVISED FORECAST Volume 1: Statewide Electricity Demand, EndUser Natural Gas Demand, and Energy Efficiency SEPTEMBER 2013 CEC2002013004SDV1REV CALIFORNIA The California Energy Demand 2014 ­ 2024 Revised Forecast, Volume 1: Statewide Electricity Demand and Methods

  12. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand The California Energy Demand 2014 ­ 2024 Revised Forecast, Volume 2: Electricity Demand by Utility Planning Area Energy Policy Report. The forecast includes three full scenarios: a high energy demand case, a low

  13. Assessment of Industrial Load for Demand Response across Western Interconnect

    SciTech Connect (OSTI)

    Alkadi, Nasr E [ORNL; Starke, Michael R [ORNL; Ma, Ookie [United States Department of Energy (DOE), Office of Efficiency and Renewable Energy (EERE)

    2013-11-01T23:59:59.000Z

    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.

  14. The interpretation of Charpy impact test data using hyper-logistic fitting functions

    SciTech Connect (OSTI)

    Helm, J.L. [Columbia Univ., New York, NY (United States)

    1996-12-31T23:59:59.000Z

    The hyperbolic tangent function is used almost exclusively for computer assisted curve fitting of Charpy impact test data. Unfortunately, there is no physical basis to justify the use of this function and it cannot be generalized to test data that exhibits asymmetry. Using simple physical arguments, a semi-empirical model is derived and identified as a special case of the so called hyper-logistic equation. Although one solution of this equation is the hyperbolic tangent, other more physically interpretable solutions are provided. From the mathematics of the family of functions derived from the hyper-logistic equation, several useful generalizations are made such that asymmetric and wavy Charpy data can be physically interpreted.

  15. Demand response-enabled residential thermostat controls.

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    human dimension of demand response technology from a caseArens, E. , et al. 2008. Demand Response Enabling TechnologyArens, E. , et al. 2006. Demand Response Enabling Technology

  16. Demand Response as a System Reliability Resource

    E-Print Network [OSTI]

    Joseph, Eto

    2014-01-01T23:59:59.000Z

    Barat, and D. Watson. 2007. Demand Response Spinning ReserveKueck, and B. Kirby. 2009. Demand Response Spinning ReserveFormat of 2009-2011 Demand Response Activity Applications.

  17. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    the California Energy Commission staff's revised forecasts for 2012­2022 electricity consumption, peak Electricity, demand, consumption, forecast, weather normalization, peak, natural gas, self generation REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand

  18. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    Energy Commission staff's revised forecasts for 2012­2022 electricity consumption, peak, and natural Electricity, demand, consumption, forecast, weather normalization, peak, natural gas, self generation REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility

  19. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    California Energy Demand Scenario Projections to 2050 RyanCEC (2003a) California energy demand 2003-2013 forecast.CEC (2005a) California energy demand 2006-2016: Staff energy

  20. National Action Plan on Demand Response

    Broader source: Energy.gov [DOE]

    Presentation—given at the Federal Utility Partnership Working Group (FUPWG) Fall 2008 meeting—discusses the National Assessment of Demand Response study, the National Action Plan for Demand Response, and demand response as related to the energy outlook.

  1. Positively impacting humanitarian response through improved processes. Health and Humanitarian Logistics Training

    E-Print Network [OSTI]

    Li, Mo

    Logistics Training Health & Humanitarian Logistics encompasses a broad range of activities related, including the loss of lives. These challenging logistics and supply chain management problems require and Humanitarian Logistics Courses Two Easy Ways to Register Online: www.pe.gatech.edu/hhl2014 Phone: 404

  2. 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

  3. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    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

  4. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    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).

  5. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    al: Installation and Commissioning Automated Demand ResponseConference on Building Commissioning: April 22 – 24, 2008al: Installation and Commissioning Automated Demand Response

  6. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    annual per-capita electricity consumption by demand15 California electricity consumption projections by demandannual per-capita electricity consumption by demand

  7. Demand Controlled Ventilation and Classroom Ventilation

    E-Print Network [OSTI]

    Fisk, William J.

    2014-01-01T23:59:59.000Z

    use of demand control ventilation systems in general officedemand controlled  ventilation systems, Dennis DiBartolomeo the demand controlled ventilation system increased the rate 

  8. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01T23:59:59.000Z

    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 ...

  9. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

    sector, the demand response potential of California buildinga demand response event prohibit a building’s participationdemand response strategies in California buildings are

  10. Sandia National Laboratories: demand response inverter

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

    demand response inverter ECIS-Princeton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety, Facilities,...

  11. Turkey's energy demand and supply

    SciTech Connect (OSTI)

    Balat, M. [Sila Science, Trabzon (Turkey)

    2009-07-01T23:59:59.000Z

    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.

  12. US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier

    E-Print Network [OSTI]

    US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach Massimo www.cepe.ethz.ch #12;US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach Page 1 of 25 US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier

  13. Benchmarking transportation logistics practices for effective system planning

    SciTech Connect (OSTI)

    Thrower, A.W. [Office of Civilian Radioactive Waste Management, U.S. Dept. of Energy, Washington, DC (United States); Dravo, A.N. [Booz Allen Hamilton, Washington, DC (United States); Keister, M. [Idaho National Laboratory, ID (United States)

    2007-07-01T23:59:59.000Z

    This paper presents preliminary findings of an Office of Civilian Radioactive Waste Management (OCRWM) benchmarking project to identify best practices for logistics enterprises. The results will help OCRWM's Office of Logistics Management (OLM) design and implement a system to move spent nuclear fuel (SNF) and high-level radioactive waste (HLW) to the Yucca Mountain repository for disposal when that facility is licensed and built. This report suggests topics for additional study. The project team looked at three Federal radioactive material logistics operations that are widely viewed to be successful: (1) the Waste Isolation Pilot Plant (WIPP) in Carlsbad, New Mexico; (2) the Naval Nuclear Propulsion Program (NNPP); and (3) domestic and foreign research reactor (FRR) SNF acceptance programs. (authors)

  14. 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

    2009-02-28T23:59:59.000Z

    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.

  15. Dynamic Control of Logistics Queueing Networks

    E-Print Network [OSTI]

    Powell, Warren B.

    research demonstrating the feasibility of linear programming-based models for these large eet assignment exibility than standard linear programs. #12;We consider the problem of managing a homogeneous eet itself. Magnanti & Simpson 1978, in an unpublished technical report, give a series of linear programming

  16. 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

  17. Brussels, Belgium, November 19-22, 2012 Energy Demand Prediction in a Charge Station: A

    E-Print Network [OSTI]

    Boyer, Edmond

    EEVC Brussels, Belgium, November 19-22, 2012 Energy Demand Prediction in a Charge Station over a real database which can be associated with the energy demand generated by electric vehicles simplifying assumptions about the EV drivers' energy demand. To improve the accuracy of the modelling

  18. Demand Response Programs for Oregon

    E-Print Network [OSTI]

    wholesale prices and looming shortages in Western power markets in 2000-01, Portland General Electric programs for large customers remain, though they are not active at current wholesale prices. Other programs demand response for the wholesale market -- by passing through real-time prices for usage above a set

  19. Revelation on Demand Nicolas Anciaux

    E-Print Network [OSTI]

    is willing to reveal the aggregate response (according to his company's policy) to the customer dataRevelation on Demand Nicolas Anciaux 1 · Mehdi Benzine1,2 · Luc Bouganim1 · Philippe Pucheral1 time to support epidemiological studies. In these and many other situations, aggregate data or partial

  20. Water demand management in Kuwait

    E-Print Network [OSTI]

    Milutinovic, Milan, M. Eng. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    Kuwait is an arid country located in the Middle East, with limited access to water resources. Yet water demand per capita is much higher than in other countries in the world, estimated to be around 450 L/capita/day. There ...

  1. obesity demands more than just

    E-Print Network [OSTI]

    Qian, Ning

    #12;The World That Makes Us Fat ***** ***** ***** Overcoming obesity demands more than just. By Melinda Wenner Moyer Illustrations by A. Richard Allen 27 #12;ON ONE LEVEL, of course, obesity has a sim to pollutants. Their research suggests that to solve the problem of obesity--and, ultimately, to prevent it from

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

    E-Print Network [OSTI]

    Benenson, P.

    2010-01-01T23:59:59.000Z

    DEMAND . . . .Demand for Electricity and Power PeakDemand . . • . . ELECTRICITY REQUIREMENTS FOR AGRICULTUREResults . . Coriclusions ELECTRICITY SUPPLY Hydroelectric

  3. Opportunities, Barriers and Actions for Industrial Demand Response in California

    E-Print Network [OSTI]

    McKane, Aimee T.

    2009-01-01T23:59:59.000Z

    and Techniques for Demand Response, report for theand Reliability Demand Response Programs: Final Report.Demand Response

  4. Automated Demand Response Opportunities in Wastewater Treatment Facilities

    E-Print Network [OSTI]

    Thompson, Lisa

    2008-01-01T23:59:59.000Z

    Interoperable Automated Demand Response Infrastructure,study of automated demand response in wastewater treatmentopportunities for demand response control strategies in

  5. Northwest Open Automated Demand Response Technology Demonstration Project

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    Report 2009. Open Automated Demand Response Communicationsand Techniques for Demand Response. California Energyand S. Kiliccote. Estimating Demand Response Load Impacts:

  6. Assessment of Demand Response and Advanced Metering

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    #12;#12;2008 Assessment of Demand Response and Advanced Metering Staff Report Federal Energy metering penetration and potential peak load reduction from demand response have increased since 2006. Significant activity to promote demand response or to remove barriers to demand response occurred at the state

  7. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand, EndUser Natural Gas Demand, and Energy Efficiency DECEMBER 2013 CEC2002013004SFV1 CALIFORNIA and expertise of numerous California Energy Commission staff members in the Demand Analysis Office. In addition

  8. Demand Side Management in Rangan Banerjee

    E-Print Network [OSTI]

    Banerjee, Rangan

    Demand Side Management in Industry Rangan Banerjee Talk at Baroda in Birla Corporate Seminar August 31,2007 #12;Demand Side Management Indian utilities ­ energy shortage and peak power shortage. Supply for Options ­ Demand Side Management (DSM) & Load Management #12;DSM Concept Demand Side Management (DSM) - co

  9. Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models

    E-Print Network [OSTI]

    Washington at Seattle, University of

    diagnosed, quantifying the severity of the ab- normality is much more subjective and not a standard part

  10. Biomass Logistics and Particle Technology Group Purdue Improved Drying

    E-Print Network [OSTI]

    Ginzel, Matthew

    to maintain quality of grain in storage. n Farmers primarily depended on open air solar drying after logistics Grain & pest management Pre-Harvest losses from: Insect, molds and birds Harvesting & handling of PICS, technology Open Air Solar Drying of Maize in Ejura Market, Ashanti Region, Ghana #12;4 Chronology

  11. Smart Grid RFI: Addressing Policy and Logistical Challenges

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

    efficiency of grid operations and more optimal deployment of generation resources. Demand response activities may be able to improve grid efficiency as well. On the consumer...

  12. Near Optimal Demand-Side Energy Management Under Real-time Demand-Response Pricing

    E-Print Network [OSTI]

    Boutaba, Raouf

    Near Optimal Demand-Side Energy Management Under Real-time Demand-Response Pricing Jin Xiao, Jae--In this paper, we present demand-side energy manage- ment under real-time demand-response pricing as a task, demand-response, energy management I. INTRODUCTION The growing awareness of global climate change has

  13. LOGISTIC FUNCTION PROFILE FIT: A least-squares program for fitting interface profiles to an extended logistic function

    SciTech Connect (OSTI)

    Kirchhoff, William H. [Surface and Microanalysis Science Division, National Institute of Standards and Technology, 100 Bureau Drive, Stop 8370, Gaithersburg, Maryland 20899-8370 (United States)

    2012-09-15T23:59:59.000Z

    The extended logistic function provides a physically reasonable description of interfaces such as depth profiles or line scans of surface topological or compositional features. It describes these interfaces with the minimum number of parameters, namely, position, width, and asymmetry. Logistic Function Profile Fit (LFPF) is a robust, least-squares fitting program in which the nonlinear extended logistic function is linearized by a Taylor series expansion (equivalent to a Newton-Raphson approach) with no apparent introduction of bias in the analysis. The program provides reliable confidence limits for the parameters when systematic errors are minimal and provides a display of the residuals from the fit for the detection of systematic errors. The program will aid researchers in applying ASTM E1636-10, 'Standard practice for analytically describing sputter-depth-profile and linescan-profile data by an extended logistic function,' and may also prove useful in applying ISO 18516: 2006, 'Surface chemical analysis-Auger electron spectroscopy and x-ray photoelectron spectroscopy-determination of lateral resolution.' Examples are given of LFPF fits to a secondary ion mass spectrometry depth profile, an Auger surface line scan, and synthetic data generated to exhibit known systematic errors for examining the significance of such errors to the extrapolation of partial profiles.

  14. Final Progress Report, Renewable and Logistics Fuels for Fuel Cells at the Colorado School of Mines

    SciTech Connect (OSTI)

    Sullivan, Neal P

    2012-08-06T23:59:59.000Z

    The objective of this program is to advance the current state of technology of solid-oxide fuel cells (SOFCs) to improve performance when operating on renewable and logistics hydrocarbon fuel streams. Outcomes will include: 1.) new SOFC materials and architectures that address the technical challenges associated with carbon-deposit formation and sulfur poisoning; 2.) new integration strategies for combining fuel reformers with SOFCs; 3.) advanced modeling tools that bridge the scales of fundamental charge-transfer chemistry to system operation and control; and 4.) outreach through creation of the Distinguished Lecturer Series to promote nationwide collaboration with fuel-cell researchers and scientists.

  15. Covering models with time-dependent demand

    E-Print Network [OSTI]

    2007-10-22T23:59:59.000Z

    The different solutions in the search space are given in terms of the variables yk .... symbolize the new facilities to enter the market, and the dark-grey circles ...

  16. RedSeal Comments on "Smart Grid RFI: Addressing Policy and Logistical...

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

    RedSeal Comments on "Smart Grid RFI: Addressing Policy and Logistical Challenges. RedSeal Comments on "Smart Grid RFI: Addressing Policy and Logistical Challenges. RedSeal Comments...

  17. Generalized multi-commodity network flows : case studies in space logistics and complex infrastructure systems

    E-Print Network [OSTI]

    Ishimatsu, Takuto

    2013-01-01T23:59:59.000Z

    In transition to a new era of human space exploration, the question is what the next-generation space logistics paradigm should be. The past studies on space logistics have been mainly focused on a "vehicle" perspective ...

  18. Microsoft Word - NNSA Logistics A-76 Post - MEO VV Review Report...

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

    Microsoft Word - NNSA Logistics A-76 Post - MEO VV Review Report 111.doc Microsoft Word - NNSA Logistics A-76 Post - MEO VV Review Report 111.doc Microsoft Word - NNSA...

  19. Forecasting the demand for electric vehicles: accounting for attitudes and perceptions

    E-Print Network [OSTI]

    Bierlaire, Michel

    prediction, transportation, attitudes and perceptions, hybrid choice models, fractional factorial design: survey design, model estimation and forecasting. We develop a stated preferences (SP) survey with issues related to the application of models designed to forecast demand for new alternatives, most

  20. Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    in Demand Response for Wholesale Ancillary Services Silain Demand Response for Wholesale Ancillary Services Silasuccessfully in the wholesale non- spinning ancillary

  1. Justice and the demands of realism

    E-Print Network [OSTI]

    Munro, Daniel K., 1972-

    2006-01-01T23:59:59.000Z

    The dissertation examines how concerns about the demands of realism should be addressed in political theories of justice. It asks whether the demands of realism should affect the construction of principles of justice and, ...

  2. Industrial Equipment Demand and Duty Factors

    E-Print Network [OSTI]

    Dooley, E. S.; Heffington, W. M.

    Demand and duty factors have been measured for selected equipment (air compressors, electric furnaces, injection molding machines, centrifugal loads, and others) in industrial plants. Demand factors for heavily loaded air compressors were near 100...

  3. q-deformed logistic map with delay feedback

    E-Print Network [OSTI]

    Manish Dev Shrimali; Subhashish Banerjee

    2012-03-14T23:59:59.000Z

    The delay logistic map with two types of q-deformations: Tsallis and Quantum-group type are studied. The stability of the map and its bifurcation scheme is analyzed as a function of the deformation and delay feedback parameters. Chaos is suppressed in a certain region of deformation and feedback parameter space. The steady state obtained by delay feedback is maintained in one type of deformation while chaotic behavior is recovered in another type with increasing delay.

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

    Energy Savers [EERE]

    drivingdemandsocialmedia010611.pdf More Documents & Publications Marketing & Driving Demand: Social Media Tools & Strategies - January 16, 2011 Social Media for Natural...

  5. Hawaiian Electric Company Demand Response Roadmap Project

    E-Print Network [OSTI]

    Levy, Roger

    2014-01-01T23:59:59.000Z

    renewable integration capability. Coordinating and integrating HECO and Hawaii Energy demand response related activities has the potential

  6. Wireless Demand Response Controls for HVAC Systems

    E-Print Network [OSTI]

    Federspiel, Clifford

    2010-01-01T23:59:59.000Z

    temperature-based demand response in buildings that havedemand response advantages of global zone temperature setup in buildings

  7. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

    demand-side management (DSM) framework presented in Table x provides three major areas for changing electric loads in buildings:

  8. Autimated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR 

    E-Print Network [OSTI]

    Kim, J. J.; Yin, R.; Kiliccote, S.

    2013-01-01T23:59:59.000Z

    Open Automated Demand Response (OpenADR), an XML-based information exchange model, is used to facilitate continuous price-responsive operation and demand response participation for large commercial buildings in New York who are subject...

  9. Autimated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR

    E-Print Network [OSTI]

    Kim, J. J.; Yin, R.; Kiliccote, S.

    2013-01-01T23:59:59.000Z

    Open Automated Demand Response (OpenADR), an XML-based information exchange model, is used to facilitate continuous price-responsive operation and demand response participation for large commercial buildings in New York who are subject...

  10. Paper presented at the International Society of Logistics (SOLE) 1999 Symposium, Las Vegas, Nevada, August 30 September 2, 1999.

    E-Print Network [OSTI]

    Paper presented at the International Society of Logistics (SOLE) 1999 Symposium, Las Vegas, Nevada, and challenges to institutional and logistical processes for exploiting prognostics. Introduction Prognostics technologies, the analytical challenges involving predictive methods, and the logistical challenges centering

  11. Designing and implementing a framework for process-oriented logistics-costs measurement

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Designing and implementing a framework for process-oriented logistics-costs measurement. Measurements of logistics costs are necessary for manufacturing companies to be able to evaluate the cost Friedrichshafen AG faced during the implementation of a process-oriented logistics-costs measurement framework

  12. Our MSc Logistics and Supply Chain Management is designed to give you state of the

    E-Print Network [OSTI]

    Painter, Kevin

    About Our MSc Logistics and Supply Chain Management is designed to give you state of the art logistics and supply chain knowledge to help you deliver competitive advantage in your future career. We experience over the academic year. The programme is accredited by The Chartered Institute of Logistics

  13. Logistics Information Systems for Human Space Exploration: State of the Art and Emerging Technologies

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Logistics Information Systems for Human Space Exploration: State of the Art and Emerging the lessons learned from past experiences with space logistics and supply chain management. This paper offers an overview of the current state of the art in logistics management for space exploration focused

  14. A conceptual framework to understand retailers' logistics1 and transport organization illustrated for groceries' goods2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A conceptual framework to understand retailers' logistics1 and transport organization ­ illustrated38 * Corresponding author9 10 11 1 IFSTTAR,12 Production Systems, logistics, Transport Organisation as retailers, through in-house or51 outsourced logistics deliveries to points of sale, have a high share

  15. KEYNOTE SPEAKER: Gary Petersen, Director of Transportation, General Mills 8th Annual Freight and Logistics Symposium

    E-Print Network [OSTI]

    Minnesota, University of

    and Logistics Symposium Rising costs and low capacity mean major changes for the transportation industry. Freight and logistics professionals, researchers, and policymakers examined forces of change affecting Freight and Logistics Symposium. CTS director Robert Johns and Council of Supply Chain Management

  16. Assessing urban logistics pooling sustainability via a hierarchic dashboard from a group decision perspective

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Assessing urban logistics pooling sustainability via a hierarchic dashboard from a group decision to measure the sustainable performance of urban logistics pooling systems. To do this, we start by defining it, since the method is able to be replicated in any context of group decision in urban logistics

  17. Generic Mechanisms for Coordinating Operations and Sharing Financial Benefits in Collaborative Logistics

    E-Print Network [OSTI]

    Boyer, Edmond

    Logistics Jean-François Audy1 , Sophie D'Amours1 , Nadia Lehoux1 and Mikael Rönnqvist2 1 Laval University.Lehoux@gmc.ulaval.ca, Mikael.Ronnqvist@nhh.no} Abstract. Collaborative logistics is increasingly emerging as a new opportunity coordination mechanisms to support collaborative logistics. These mechanisms are differentiated

  18. Costs and benefits of logistics pooling for urban freight distribution: scenario

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Costs and benefits of logistics pooling for urban freight distribution: scenario simulation Collaborative 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

  19. Program Details Investing in your education with the Master of Management -Logistics and Supply Chain

    E-Print Network [OSTI]

    Program Details Investing in your education with the Master of Management - Logistics and Supply business world. The course based Master of Management - Logistics and Supply Chain Management will prepare you for a leadership position within the Logistics industry in Canada or abroad. You will study

  20. What Drives the Choice of a Third Party Logistics Provider? Edward Anderson , Tim Coltman*

    E-Print Network [OSTI]

    Coltman, Tim

    1 What Drives the Choice of a Third Party Logistics Provider? Edward Anderson , Tim Coltman and the direction of the research project. #12;2 What Drives the Choice of a Third Party Logistics Provider of their distinctive value propositions ­ a fact one would also expect holds true when companies choose a logistics

  1. Our MSc in Maritime Logistics and Supply Chain Management is designed to give you state

    E-Print Network [OSTI]

    Painter, Kevin

    About Our MSc in Maritime Logistics and Supply Chain Management is designed to give you state of the art knowledge in international shipping and global logistics in addition to an excellent foundation in key supply chain management concepts and logistics practice. We have a full programme of courses, site

  2. Freight & Logistics Success of Supply Chain in the Public and Private

    E-Print Network [OSTI]

    Minnesota, University of

    Freight & Logistics Symposium Success of Supply Chain in the Public and Private Sector #12;Tim Thoma International Logistics + Compliance Manager at Northern Tool + Equipment 25 years experience in Intl Logistics BA International Business / German from UST Lifelong resident of the area #12;Northern

  3. The Rockefeller Foundation to Host Bellagio Center Conference on Humanitarian Logistics: Networks for Africa

    E-Print Network [OSTI]

    Nagurney, Anna

    The Rockefeller Foundation to Host Bellagio Center Conference on Humanitarian Logistics: Networks to the Rockefeller Foundation; http://rockfound.org to organize a conference on "Humanitarian Logistics: Networks some of the underlying themes that will be discussed in depth. Logistics networks, in times of need

  4. Osnabrcker Studierende der Wirtschaftsinformatik erstellen ersten Online-Nachhaltigkeitsbericht fr Hellmann Worldwide Logistics

    E-Print Network [OSTI]

    Steinhoff, Heinz-Jürgen

    -Nachhaltigkeitsbericht für Hellmann Worldwide Logistics Auf Initiative von Prof. Dr. Lohmeier und Prof. Dr. Teuteberg wurde Osnabrücker Unternehmens Hellmann Worldwide Logistics (10.735 Mitarbeiter und 2,67 Milliarden Euro Umsatz PDF-Dokument verfügba- ren Nachhaltigkeitsbericht von Hellmann Worldwide Logistics in einen mit vielen

  5. International Logistics and Supply Chain Congress' 2007 November 8-9, 2007, Istanbul, TURKIYE

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ©International Logistics and Supply Chain Congress' 2007 November 8-9, 2007, Istanbul, TURKIYE 1 THE THIRD PARTY LOGISTICS SELECTION: A REVIEW OF LITERATURE Aicha Aguezzoul1 1 Aicha Aguezzoul, Centre, France, aicha.aguezzoul@univ-metz.fr Abstract The outsourcing of logistics activities to third

  6. OIM 413 Logistics and Transportation Class Time: Tuesdays and Thursdays: 9:30-10:45AM

    E-Print Network [OSTI]

    Nagurney, Anna

    OIM 413 ­ Logistics and Transportation Fall 2013 Class Time: Tuesdays and Thursdays: 9:30-10:45AM success and application is transportation and logistics. Indeed, the timely distribution of goods and logistics. The course covers some of the fundamental methodologies and analytical tools. The course consists

  7. AN INTEGRATION TECHNOLOGY FOR LONG DISTANCE LOGISTICS AND SUPPLY CHAIN MANAGEMENT

    E-Print Network [OSTI]

    Peng, Yun

    1 AN INTEGRATION TECHNOLOGY FOR LONG DISTANCE LOGISTICS AND SUPPLY CHAIN MANAGEMENT Hyunbo Cho will continue to grow. That trade depends on many intercontinental, long-distance, logistics partners. Those) ensure interoperability among logistics applications; (2) provide shipment visibility to all trading

  8. REDESIGNING A PHYSICAL DISTRIBUTION AND LOGISTICS SYSTEM: THE FEBAL CUCINE CASE STUDY 1

    E-Print Network [OSTI]

    Di Pillo, Gianni

    1 REDESIGNING A PHYSICAL DISTRIBUTION AND LOGISTICS SYSTEM: THE FEBAL CUCINE CASE STUDY 1 Fabio ABSTRACT The authors examine the questions of physical distribution and logistics management developed within the framework of an European project named ECOSELL is presented. Keywords: Logistics

  9. Applicability of Logistics Management in Lean Construction: a Case Study Approach in Brazilian Building Companies

    E-Print Network [OSTI]

    Tommelein, Iris D.

    Applicability of Logistics Management in Lean Construction: a Case Study Approach in Brazilian Building Companies Proceedings IGLC-7 147 APPLICABILITY OF LOGISTICS MANAGEMENT IN LEAN CONSTRUCTION Cardoso2 ABSTRACT Logistics management concepts and tools currently have a great value for several

  10. Design of Robust Distribution Networks Run by fourth Party Logistics Service Providers

    E-Print Network [OSTI]

    Armbruster, Dieter

    Design of Robust Distribution Networks Run by fourth Party Logistics Service Providers M logistics service provider (LSP), who faces the problem of distributing different products from suppliers distributions. 1 Introduction The logistics networks considered in this paper consist of production facilities

  11. The deployment of urban logistics solutions from research, development and pilot results

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    The deployment of urban logistics solutions from research, development and pilot results Lessons logistics solutions is one of the main pending questions in the field of urban goods transport research demonstration project, this paper presents the main issues related to the deployment of urban logistics

  12. Proceedings of the 3rd International Conference on Information Systems, Logistics and Supply Chain

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Proceedings of the 3rd International Conference on Information Systems, Logistics and Supply-16 Sustainable supply chain management in city logistics solutions: an experience's comeback from Cityporto Padua.gonzales-feliu}@let.ish-lyon.cnrs.fr Abstract : The sustainable logistics and transportation studies constitute a primordial research axis

  13. Design and scenario assessment for collaborative logistics and freight transport systems

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Design and scenario assessment for collaborative logistics and freight transport systems Jesus Collaboration between partners is a very popular subject in both logistics and decision support research of logistics and freight transport, as well as to describe the links between freight transport and supply chain

  14. Freight logistics services for rural economies: User needs and future challenges Angela Cristina Marqui

    E-Print Network [OSTI]

    Edwards, Pete

    Freight logistics services for rural economies: User needs and future challenges Angela Cristina requirements for logistics and transport services of small and micro rural businesses. This paper explores for the logistics requirements of rural businesses calls for intelligent software platforms that provide solutions

  15. Wood Supply Chain Optimisation 2010Forest to Market Innovations to Improve Logistics & Operations

    E-Print Network [OSTI]

    Wood Supply Chain Optimisation 2010Forest to Market ­ Innovations to Improve Logistics & Operations INTERNATIONALTRENDS IN LOGISTICS AND SUPPLY CHAIN MANAGEMENT 9.30am Managing Supply Chain Emissions to Gain and GPS tracking to Improve transport logistics. A case study on HVP Plantations implementation of a new

  16. Agent-based Control for Material Handling Systems in In-House Logistics

    E-Print Network [OSTI]

    Agent-based Control for Material Handling Systems in In-House Logistics Towards Cyber-Physical Systems in In-House-Logistics Utilizing Realsize Evaluation of Agent-based Material Handling Technology Werthmann Intelligent Production and Logistics Systems BIBA ­ Bremer Institut für Produktion und Logistik

  17. 394 ICOVACS 2010 International Conference on Value Chain Sustainability HUMANITARIAN LOGISTICS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    394 ICOVACS 2010 ­ International Conference on Value Chain Sustainability HUMANITARIAN LOGISTICS SIMULATION AND OPTIMIZATION METHODS FOR LOGISTICS POOLING IN THE OUTBOUND SUPPLY CHAIN Jesus Gonzalez Feliu1 , Carlos Peris Pla2 , and Dina Rakotonarivo3 Abstract Logistics pooling and collaborative transportation

  18. AN INTEGRATED PLANNING-SIMULATION-ARCHITECTURE APPROACH FOR LOGISTICS SHARING MANAGEMENT

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    AN INTEGRATED PLANNING-SIMULATION-ARCHITECTURE APPROACH FOR LOGISTICS SHARING MANAGEMENT: A CASE In logistics, freight transportation is a major source of income in a country's economy. One of the most popular strategies is logistics sharing, which is a complex problem due to the involved stakeholders

  19. THE STATE OF DEMAND RESPONSE IN CALIFORNIA

    E-Print Network [OSTI]

    THE STATE OF DEMAND RESPONSE IN CALIFORNIA Prepared For: California Energy in this report. #12; ABSTRACT By reducing system loads during criticalpeak times, demand response (DR) can.S. and internationally and lay out ideas that could help move California forward. KEY WORDS demand response, peak

  20. THE STATE OF DEMAND RESPONSE IN CALIFORNIA

    E-Print Network [OSTI]

    THE STATE OF DEMAND RESPONSE IN CALIFORNIA Prepared For: California Energy in this report. #12; ABSTRACT By reducing system loads during criticalpeak times, demand response can help reduce the threat of planned rotational outages. Demand response is also widely regarded as having

  1. Demand Response Resources in Pacific Northwest

    E-Print Network [OSTI]

    Demand Response Resources in Pacific Northwest Chuck Goldman Lawrence Berkeley National Laboratory cagoldman@lbl.gov Pacific Northwest Demand Response Project Portland OR May 2, 2007 #12;Overview · Typology Annual Reports ­ Journal articles/Technical reports #12;Demand Response Resources · Incentive

  2. Barrier Immune Radio Communications for Demand Response

    E-Print Network [OSTI]

    LBNL-2294E Barrier Immune Radio Communications for Demand Response F. Rubinstein, G. Ghatikar, J Ann Piette of Lawrence Berkeley National Laboratory's (LBNL) Demand Response Research Center (DRRC and Environment's (CIEE) Demand Response Emerging Technologies Development (DRETD) Program, under Work for Others

  3. Demand Response and Ancillary Services September 2008

    E-Print Network [OSTI]

    Demand Response and Ancillary Services September 2008 #12;© 2008 EnerNOC, Inc. All Rights Reserved programs The purpose of this presentation is to offer insight into the mechanics of demand response and industrial demand response resources across North America in both regulated and restructured markets As of 6

  4. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    LBNL-62226 Demand Responsive Lighting: A Scoping Study F. Rubinstein, S. Kiliccote Energy Environmental Technologies Division January 2007 #12;LBNL-62226 Demand Responsive Lighting: A Scoping Study in this report was coordinated by the Demand Response Research Center and funded by the California Energy

  5. Transportation Energy: Supply, Demand and the Future

    E-Print Network [OSTI]

    Saldin, Dilano

    Transportation Energy: Supply, Demand and the Future http://www.uwm.edu/Dept/CUTS//2050/energy05 as a source of energy. Global supply and demand trends will have a profound impact on the ability to use our) Transportation energy demand in the U.S. has increased because of the greater use of less fuel efficient vehicles

  6. Demand Side Bidding. Final Report

    SciTech Connect (OSTI)

    Spahn, Andrew

    2003-12-31T23:59:59.000Z

    This document sets forth the final report for a financial assistance award for the National Association of Regulatory Utility Commissioners (NARUC) to enhance coordination between the building operators and power system operators in terms of demand-side responses to Location Based Marginal Pricing (LBMP). Potential benefits of this project include improved power system reliability, enhanced environmental quality, mitigation of high locational prices within congested areas, and the reduction of market barriers for demand-side market participants. NARUC, led by its Committee on Energy Resources and the Environment (ERE), actively works to promote the development and use of energy efficiency and clean distributive energy policies within the framework of a dynamic regulatory environment. Electric industry restructuring, energy shortages in California, and energy market transformation intensifies the need for reliable information and strategies regarding electric reliability policy and practice. NARUC promotes clean distributive generation and increased energy efficiency in the context of the energy sector restructuring process. NARUC, through ERE's Subcommittee on Energy Efficiency, strives to improve energy efficiency by creating working markets. Market transformation seeks opportunities where small amounts of investment can create sustainable markets for more efficient products, services, and design practices.

  7. Demand Response Valuation Frameworks Paper

    SciTech Connect (OSTI)

    Heffner, Grayson

    2009-02-01T23:59:59.000Z

    While there is general agreement that demand response (DR) is a valued component in a utility resource plan, there is a lack of consensus regarding how to value DR. Establishing the value of DR is a prerequisite to determining how much and what types of DR should be implemented, to which customers DR should be targeted, and a key determinant that drives the development of economically viable DR consumer technology. Most approaches for quantifying the value of DR focus on changes in utility system revenue requirements based on resource plans with and without DR. This ''utility centric'' approach does not assign any value to DR impacts that lower energy and capacity prices, improve reliability, lower system and network operating costs, produce better air quality, and provide improved customer choice and control. Proper valuation of these benefits requires a different basis for monetization. The review concludes that no single methodology today adequately captures the wide range of benefits and value potentially attributed to DR. To provide a more comprehensive valuation approach, current methods such as the Standard Practice Method (SPM) will most likely have to be supplemented with one or more alternative benefit-valuation approaches. This report provides an updated perspective on the DR valuation framework. It includes an introduction and four chapters that address the key elements of demand response valuation, a comprehensive literature review, and specific research recommendations.

  8. Secure Demand Shaping for Smart Grid On constructing probabilistic demand response schemes

    E-Print Network [OSTI]

    Sastry, S. Shankar

    Secure Demand Shaping for Smart Grid On constructing probabilistic demand response schemes. Developing novel schemes for demand response in smart electric gird is an increasingly active research area/SCADA for demand response in smart infrastructures face the following dilemma: On one hand, in order to increase

  9. Patterns of crude demand: Future patterns of demand for crude oil as a func-

    E-Print Network [OSTI]

    Langendoen, Koen

    #12;2 #12;Patterns of crude demand: Future patterns of demand for crude oil as a func- tion schemes, and/or change quality of the feedstock (crude). Demand for crude oil is growing, especially perspective. This thesis aims pre- cisely at understanding the quality of oil from a demand side perspective

  10. Control and Optimization Meet the Smart Power Grid - Scheduling of Power Demands for Optimal Energy Management

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

    2010-01-01T23:59:59.000Z

    The smart power grid aims at harnessing information and communication technologies to enhance reliability and enforce sensible use of energy. Its realization is geared by the fundamental goal of effective management of demand load. In this work, we envision a scenario with real-time communication between the operator and consumers. The grid operator controller receives requests for power demands from consumers, with different power requirement, duration, and a deadline by which it is to be completed. The objective is to devise a power demand task scheduling policy that minimizes the grid operational cost over a time horizon. The operational cost is a convex function of instantaneous power consumption and reflects the fact that each additional unit of power needed to serve demands is more expensive as demand load increases.First, we study the off-line demand scheduling problem, where parameters are fixed and known. Next, we devise a stochastic model for the case when demands are generated continually and sched...

  11. U.S. Energy Demand, Offshore Oil Production and

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    U.S. Energy Demand, Offshore Oil Production and BP's Macondo Well Spill Tad Patzek, Petroleum form well-rounded petroleum engineers, and deliver science and technology to O&G Industry, while trying that run the U.S. Complexity, models, risks Gulf of Mexico's oil and gas production Conclusions ­ p.3/4 #12

  12. Exhausting Battery Statistics Understanding the energy demands on mobile handsets

    E-Print Network [OSTI]

    Cambridge, University of

    energy models and resources managers designed for laptops [20] and data cen- ters [4] inapplicableExhausting Battery Statistics Understanding the energy demands on mobile handsets Narseo Vallina.surname@telekom.de ABSTRACT Despite the advances in battery technologies, mobile phones still suffer from severe energy

  13. Chapter 3 Airline Economics, Markets & Demand Learning Objectives

    E-Print Network [OSTI]

    of traffic o Yield o Capacity/ Available Seat Miles (ASM) o Unit Cost o Load Factor = Passengers/ Capacity Average Leg Load Factor Average Network Load Factor o Rejected Demand/Spill · Basic Airline Profit / Frequency Share Model "S-curve" #12;The student will be able to perform the following analysis (i

  14. Open Automated Demand Response Communications Specification (Version 1.0)

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01T23:59:59.000Z

    and Techniques for Demand Response. May 2007. LBNL-59975.to facilitate automating  demand response actions at the Interoperable Automated Demand Response Infrastructure,

  15. Role of Standard Demand Response Signals for Advanced Automated Aggregation

    E-Print Network [OSTI]

    Kiliccote, Sila

    2013-01-01T23:59:59.000Z

    for the Open Automated Demand Response (OpenADR) StandardsControl for Automated Demand Response, Grid Interop, 2009. [C. McParland, Open Automated Demand Response Communications

  16. Northwest Open Automated Demand Response Technology Demonstration Project

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    reliability signals for demand response GTA HTTPS HVAC IT kWand Commissioning Automated Demand Response Systems. ”and Techniques for Demand Response. California Energy

  17. Scenarios for Consuming Standardized Automated Demand Response Signals

    E-Print Network [OSTI]

    Koch, Ed

    2009-01-01T23:59:59.000Z

    of Fully Automated Demand Response in Large Facilities.Fully Automated Demand Response Tests in Large Facilities.Interoperable Automated Demand Response Infrastructure.

  18. Demand Response in U.S. Electricity Markets: Empirical Evidence

    E-Print Network [OSTI]

    Cappers, Peter

    2009-01-01T23:59:59.000Z

    Reliability Corporation. Demand response data task force:Energy. Benefits of demand response in electricity marketsAssessment of demand response & advanced metering, staff

  19. Demand Response Opportunities in Industrial Refrigerated Warehouses in California

    E-Print Network [OSTI]

    Goli, Sasank

    2012-01-01T23:59:59.000Z

    and Open Automated Demand Response. In Grid Interop Forum.work was sponsored by the Demand Response Research Center (load-management.php. Demand Response Research Center (2009).

  20. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    Goodin. 2009. “Open Automated Demand Response Communicationsin Demand Response for Wholesale Ancillary Services. ” InOpen Automated Demand Response Demonstration Project. LBNL-

  1. Coordination of Retail Demand Response with Midwest ISO Markets

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2008-01-01T23:59:59.000Z

    Robinson, Michael, 2008, "Demand Response in Midwest ISOPresentation at MISO Demand Response Working Group Meeting,Coordination of Retail Demand Response with Midwest ISO

  2. Direct versus Facility Centric Load Control for Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2010-01-01T23:59:59.000Z

    Interoperable Automated Demand Response Infrastructure.and Techniques for Demand Response. LBNL Report 59975. Mayand Communications for Demand Response and Energy Efficiency

  3. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01T23:59:59.000Z

    A. Barat, D. Watson. Demand Response Spinning ReserveOpen Automated Demand Response Communication Standards:Dynamic Controls for Demand Response in a New Commercial

  4. Open Automated Demand Response for Small Commerical Buildings

    E-Print Network [OSTI]

    Dudley, June Han

    2009-01-01T23:59:59.000Z

    of Fully Automated Demand  Response in Large Facilities.  Fully Automated Demand Response Tests in Large Facilities.  Open Automated  Demand Response Communication Standards: 

  5. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01T23:59:59.000Z

    description of six energy and demand management concepts.how quickly it can modify energy demand. This is not a newimprovements in both energy efficiency and demand response (

  6. India Energy Outlook: End Use Demand in India to 2020

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    Institute, “Curbing Global Energy Demand Growth: The Energyup Assessment of Energy Demand in India Transportationa profound effect on energy demand. Policy analysts wishing

  7. Sandia National Laboratories: How a Grid Manager Meets Demand...

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

    Demand (Load) How a Grid Manager Meets Demand (Load) In the "historical" electric grid, power-generating plants fell into three categories: No daily electrical demand data plot...

  8. Opportunities, Barriers and Actions for Industrial Demand Response in California

    E-Print Network [OSTI]

    McKane, Aimee T.

    2009-01-01T23:59:59.000Z

    13 Table 2. Demand Side Management Framework for IndustrialDR Strategies The demand-side management (DSM) frameworkpresented in Table 2. Demand Side Management Framework for

  9. SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY | Department of...

    Energy Savers [EERE]

    SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY As a city that experiences seasonal...

  10. Northwest Open Automated Demand Response Technology Demonstration Project

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    Building Control Strategies and Techniques for Demand Response.Building Systems and DR Strategies 16 Demand ResponseDemand Response Systems. ” Proceedings, 16 th National Conference on Building

  11. LEED Demand Response Credit: A Plan for Research towards Implementation

    E-Print Network [OSTI]

    Kiliccote, Sila

    2014-01-01T23:59:59.000Z

    in California. DEMAND RESPONSE AND COMMERCIAL BUILDINGSload and demand response against other buildings and alsoDemand Response and Energy Efficiency in Commercial Buildings",

  12. Open Automated Demand Response Communications Specification (Version 1.0)

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01T23:59:59.000Z

    Keywords: demand response, buildings, electricity use, Interface  Automated Demand Response  Building Automation of demand response in  commercial buildings.   One key 

  13. Results and commissioning issues from an automated demand response pilot

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, Dave; Sezgen, Osman; Motegi, Naoya

    2004-01-01T23:59:59.000Z

    Management and Demand Response in Commercial Buildings", L BAutomated Demand Response National Conference on BuildingAutomated Demand Response National Conference on Building

  14. Scenarios for Consuming Standardized Automated Demand Response Signals

    E-Print Network [OSTI]

    Koch, Ed

    2009-01-01T23:59:59.000Z

    Keywords: Demand response, automation, commercial buildings,Demand Response and Energy Efficiency in Commercial Buildings,Building Control Strategies and Techniques for Demand Response.

  15. Open Automated Demand Response for Small Commerical Buildings

    E-Print Network [OSTI]

    Dudley, June Han

    2009-01-01T23:59:59.000Z

    Demand  Response for Small Commercial Buildings.   CEC?500?automated demand response  For small commercial buildings, AUTOMATED DEMAND RESPONSE FOR SMALL COMMERCIAL BUILDINGS

  16. Automated Demand Response Strategies and Commissioning Commercial Building Controls

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Linkugel, Eric

    2006-01-01T23:59:59.000Z

    for Demand Response in New and Existing Commercial BuildingsDemand Response Strategies and National Conference on BuildingDemand Response Strategies and Commissioning Commercial Building

  17. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    for Automated Demand Response in Commercial Buildings. Inbased demand response information to building controlDemand Response Standard for the Residential Sector. California Energy Commission, PIER Buildings

  18. Northwest Open Automated Demand Response Technology Demonstration Project

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    is manual demand response where building staff receive acommercial buildings’ demand response technologies andBuilding Control Strategies and Techniques for Demand Response.

  19. Direct versus Facility Centric Load Control for Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2010-01-01T23:59:59.000Z

    Keywords: Demand response, automation, commercial buildings,Demand Response and Energy Efficiency in Commercial Buildings,Building Control Strategies and Techniques for Demand Response.

  20. Sample size for logistic regression with small response probability

    SciTech Connect (OSTI)

    Whittemore, A S

    1980-03-01T23:59:59.000Z

    The Fisher information matrix for the estimated parameters in a multiple logistic regression can be approximated by the augmented Hessian matrix of the moment generating function for the covariates. The approximation is valid when the probability of response is small. With its use one can obtain a simple closed form estimate of the asymptotic covariance matrix of the maximum likelihood parameter estimates, and thus approximate sample sizes needed to test hypotheses about the parameters. The method is developed for selected distributions of a single covariate, and for a class of exponential-type distributions of several covariates. It is illustrated with an example concerning risk factors for coronary heart disease.