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Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Application of a Combination Forecasting Model in Logistics Parks' Demand  

Science Journals Connector (OSTI)

Logistics parks’ demand is an important basis of establishing the development policy of logistics industry and logistics infrastructure for planning. In order to improve the forecast accuracy of logistics parks’ demand, a combination forecasting ... Keywords: Logistics parks' demand, combine, simulated annealing algorithm, grey forecast model, exponential smoothing method

Chen Qin; Qi Ming

2010-05-01T23:59:59.000Z

2

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

SciTech Connect (OSTI)

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.

Not Available

1994-04-11T23:59:59.000Z

3

Logistic Model Trees + Niels Landwehr  

E-Print Network [OSTI]

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

Frank, Eibe

4

Logistic Model Trees Niels Landwehr  

E-Print Network [OSTI]

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

Frank, Eibe

5

Logistic Gifi: A Logistic Distance Association Model for Exploratory Analysis of Categorical Data  

E-Print Network [OSTI]

likelihood esti- mates in logistic regression models.de Leeuw. Gifi goes logistic. SCASA Keynote, UCLA Department2005. [16] J de Leeuw. Logistic unfolding. UCLA Department

Evans, Gary William

2014-01-01T23:59:59.000Z

6

Logistics systems modeling and simulation  

Science Journals Connector (OSTI)

Modern logistics systems are much more than simply networks of material flow. They involve collaboration between firms that are also competitors. The supply chain can be a key consideration in product design, with its design and operations influenced ...

George Thiers; Leon McGinnis

2011-12-01T23:59:59.000Z

7

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...

8

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

E-Print Network [OSTI]

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

Akgunduz, Ali

9

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...

10

Logistics  

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

Logistics User Data Forum and HPCOR Logistics Joint Facilities User Forum on Data Intensive Computing June 16-18, 2014 Oakland City Center Conference Center 500 12th Street, Suite...

11

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...

12

Modeling Interplanetary Logistics: A Mathematical Model for Mission Planning  

E-Print Network [OSTI]

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

de Weck, Olivier L.

13

Detecting Non-Ergodic Simulation Models of Logistics Networks  

E-Print Network [OSTI]

Detecting Non-Ergodic Simulation Models of Logistics Networks Falko Bause LS Informatik IV logistics networks. Also within the Collaborative Research Center 559 "Modelling of Large Logistics Networks to be made available in the process chain mod- elling world of the logistics area, additionally supported

Bause, Falko

14

Matrix Modeling Methods for Spaceflight Campaign Logistics Analysis  

E-Print Network [OSTI]

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

de Weck, Olivier L.

15

Construction Logistics Improvements using the SCOR model Tornet Case  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

16

A mesoscopic approach to modeling and simulation of logistics processes  

Science Journals Connector (OSTI)

Simulation models are important for planing, implementing and operating logistics systems since they can depict their dynamic system behavior. In the field of logistics, discrete-event models are widely used. Their creation and computation is often very ...

Tobias Reggelin; Juri Tolujew

2011-12-01T23:59:59.000Z

17

Logistic Model Trees Niels Landwehr1,2  

E-Print Network [OSTI]

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

Frank, Eibe

18

A Mathematical Model for Interplanetary Logistics Ms. Christine Taylor  

E-Print Network [OSTI]

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

de Weck, Olivier L.

19

Integrated Modeling and Simulation of Lunar Exploration Campaign Logistics  

E-Print Network [OSTI]

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

de Weck, Olivier L.

20

Integrated Modeling and Simulation of Lunar Exploration Campaign Logistics  

E-Print Network [OSTI]

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

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

A MODELING APPROACH FOR LOCATING LOGISTICS PLATFORMS FOR FAST PARCEL  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

22

Energy Demand Modeling  

Science Journals Connector (OSTI)

From the end of World War II until the early 1970s there was a strong and steady increase in the demand for energy. The abundant supplies of fossil and other ... an actual fall in the real price of energy of abou...

S. L. Schwartz

1980-01-01T23:59:59.000Z

23

A Framework to Compare OR Models for Humanitarian Logistics  

Science Journals Connector (OSTI)

Abstract A multitude of OR models – mainly mathematical programs – has been published in relevant journals to support decision-making in the field of humanitarian logistics. Due to the effort that comes with their application, these models are often not adapted by practitioners in humanitarian organizations. Clearly, one part of the effort relates to the comparison process in which the decision-maker has to choose the most appropriate model out of the available OR models. In this contribution, a framework is presented that should help decision-makers in the field of humanitarian logistics to compare available OR models. Three different ways how to compare OR models are introduced: based on the decision they support, based on the decision criteria and metrics they use, and based on their underlying methodology and assumptions. To serve as an illustration, two mathematical programs for the specification of stationary warehouses for relief items are compared with the help of this framework. In the long run, this framework will guide users of a methodological toolkit for humanitarian logistics to the most appropriate OR model for their decision problem. The development of such a methodological toolkit is the overarching goal of this work-in-progress.

Henning Gösling; Jutta Geldermann

2014-01-01T23:59:59.000Z

24

Model-driven Logistics Engineering – Challenges of Model and Object Transformation  

Science Journals Connector (OSTI)

Abstract Production and logistics systems are part of a complex world with global sourcing and sales. In order to run production and logistics systems efficiently, plenty of different IT systems are needed. Thereby, production and logistics processes have to pass different systems with different purposes. In order to plan, control and coordinate such processes accurately, conceptual modeling techniques are needed, which overcome the gap between different domains and purposes as well as design and operational levels. Two main approaches of model-driven engineering (MDE) are suitable to face these problems; domain specific modeling languages (DSML) and model transformation methods. This paper develops the concept of model-driven logistics engineering by analyzing the domains of production and logistics. The objective is to identify characteristics of their inherent object transformation and to present aspects of model transformation. At least, the essentials of model-driven logistics engineering are defined and promising approaches of the field of model-driven engineering are presented.

Michael Lütjen; Hans-Jörg Kreowski; Marco Franke; Klaus-Dieter Thoben; Michael Freitag

2014-01-01T23:59:59.000Z

25

Modeling Energy Demand Aggregators for Residential Consumers  

E-Print Network [OSTI]

The current world-wide increase of energy demand cannot be matched by energy production and power grid updateModeling 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

Paris-Sud XI, Université de

26

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

E-Print Network [OSTI]

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

Bause, Falko

27

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

E-Print Network [OSTI]

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

de Weck, Olivier L.

28

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

E-Print Network [OSTI]

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 ...

Grogan, Paul Thomas, 1985-

2010-01-01T23:59:59.000Z

29

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

E-Print Network [OSTI]

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

Smilowitz, Karen

30

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

E-Print Network [OSTI]

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

Rossetti, Manuel D.

31

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

E-Print Network [OSTI]

Decision Support Modeling and analysis of an auction-based logistics market Semra Agrali a , BarisÃ? 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

Karaesmen, Fikri

32

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

33

Logistics 46 3 Logistics  

E-Print Network [OSTI]

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

Henkel, Werner

34

China End-Use Energy Demand Modeling  

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

China End-Use Energy Demand Modeling China End-Use Energy Demand Modeling Speaker(s): Nan Zhou Date: October 8, 2009 (All day) Location: 90-3122 As a consequence of soaring energy demand due to the staggering pace of its economic growth, China overtook the United States in 2007 to become the world's biggest contributor to CO2 emissions (IEA, 2007). Since China is still in an early stage of industrialization and urbanization, economic development promises to keep China's energy demand growing strongly. Furthermore, China's reliance on fossil fuel is unlikely to change in the long term, and increased needs will only heighten concerns about energy security and climate change. In response, the Chinese government has developed a series of policies and targets aimed at improving energy efficiency, including both short-term targets and long-term strategic

35

Physically-based demand modeling  

E-Print Network [OSTI]

for d1fferent values of insulation or control tempera- ture. Also, the results of var1ous load management. scenarios may be evaluated. 26 REFERENCES LZ] D. P. Lijesen and J. Rosing, MAdaptive Forecasting of Hourly Loads Based on Load Measurement...) Terry Marshall Calloway, B. S, , Northeast Louisiana University B. S. , Louisiana Tech University Chairman of Advisory Committee: Dr. C. W. Brice, III This thesis proposes a new methodology for modeling short-term (one hour to one day) air...

Calloway, Terry Marshall

1980-01-01T23:59:59.000Z

36

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

E-Print Network [OSTI]

A Logistic Branching Process Alternative to the Wright-Fisher Model R. B. Campbell Department, Population Regulation Introduction Most of the theoretical work in population genetics is based on the Wright approximation to the Wright-Fisher model. A logistic branching process is introduced in order to limit

Campbell, Russell Bruce

37

An Operational Model for Optimal NonDispatchable Demand Response  

E-Print Network [OSTI]

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

Grossmann, Ignacio E.

38

Inventory logistics cost analysis model for the proposed EU intermodal loading unit -- A business case  

Science Journals Connector (OSTI)

This study focuses on the new initiative of the European Union (EU) which deals with simplifying the intermodal product shipment approach that may lead to improvement in the available transportation logistics infrastructure. The analysis involves determining ... Keywords: Intermodal loading unit, buffer stock, intermodal platforms, intermodal transportation, inventory in transit, logistics cost model, multimodal transportation

Sameer Kumar

2008-08-01T23:59:59.000Z

39

Orthodontics diagnostic based on multinomial logistic regression model  

Science Journals Connector (OSTI)

The main objective of this study is evaluate the influence of several covariates in the occurrence of two types of vertical jaw dysplasia (open bite and deepbite) in orthodontics field. The study of vertical jaw dysplasia is of great interest to the ... Keywords: deepbite, hyoid bone (HB), logit, multinomial logistic regression, open bite, stepwise

Ana Cristina Braga; Vanda Urzal; A. Pinhão Ferreira

2013-06-01T23:59:59.000Z

40

Modeling supermarket refrigeration energy use and demand  

SciTech Connect (OSTI)

A computer model has been developed that can predict the performance of supermarket refrigeration equipment to within 3% of field test measurements. The Supermarket Refrigeration Energy Use and Demand Model has been used to simulate currently available refrigerants R-12, R-502 and R-22, and is being further developed to address alternative refrigerants. This paper reports that the model is expected to be important in the design, selection and operation of cost-effective, high-efficiency refrigeration systems. It can profile the operation and performance of different types of compressors, condensors, refrigerants and display cases. It can also simulate the effects of store humidity and temperature on display cases; the efficiency of various floating head pressure setpoints, defrost alternatives and subcooling methods; the efficiency and amount of heat reclaim from refrigeration systems; and the influence of other variables such as store lighting and building design. It can also be used to evaluate operational strategies such as variable-speed drive or cylinder unloading for capacity control. Development of the model began in 1986 as part of a major effort, sponsored by the U.S. electric utility industry, to evaluate energy performance of then conventional single compressor and state-of-the-art multiplex refrigeration systems, and to characterize the contribution of a variety of technology enhancement features on system energy use and demand.

Blatt, M.H.; Khattar, M.K. (Electric Power Research Inst., Palo Alto, CA (US)); Walker, D.H. (Foster Miller Inc., Waltham, MA (US))

1991-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

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

E-Print Network [OSTI]

. 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...

Kao, Ling-Jing

2001-01-01T23:59:59.000Z

42

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

E-Print Network [OSTI]

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

Forrest, Timothy Lee

2007-04-25T23:59:59.000Z

43

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

E-Print Network [OSTI]

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

de Weck, Olivier L.

44

Examining Uncertainty in Demand Response Baseline Models and  

E-Print Network [OSTI]

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

45

Two Market Models for Demand Response in Power Networks  

E-Print Network [OSTI]

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

Low, Steven H.

46

LEAN LOGISTICS  

Science Journals Connector (OSTI)

Lean logistics is the application of lean management principles ... from mass production, and depended on new logistics approaches to make it successful. Specifically,... Agile logistics (enterprise...

2000-01-01T23:59:59.000Z

47

Logistics' Liabilities  

E-Print Network [OSTI]

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

Cowen, Deborah

2011-01-01T23:59:59.000Z

48

Study on Revolving Reserve Optimization Model Considering Demand Response  

Science Journals Connector (OSTI)

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

Na Yu; Guoqing Li

2013-01-01T23:59:59.000Z

49

Transportation energy demand: Model development and use  

Science Journals Connector (OSTI)

This paper describes work undertaken and sponsored by the Energy Commission to improve transportation energy demand forecasting and policy analysis for California. Two ... , the paper discusses some of the import...

Chris Kavalec

1998-06-01T23:59:59.000Z

50

Reliability modeling of demand response considering uncertainty of customer behavior  

Science Journals Connector (OSTI)

Abstract Demand response (DR) has been considered as a generation alternative to improve the reliability indices of the system and load point. However, when the demand resources scheduled in the DR market fail to result in demand reductions, it can potentially bring new problems associated with maintaining a reliable supply. In this paper, a reliability model of the demand resource is constructed considering customers’ behaviors in the same form as conventional generation units, where the availability and unavailability are associated with the simple two-state model. The reliability model is generalized by a multi-state model. In the integrated power market with DR, market players provide the demand reduction and generation, which are represented by an equivalent multi-state demand response and generation, respectively. The reliability indices of the system and load point are evaluated using the optimal power flow by minimizing the summation of load curtailments with various constraints.

Hyung-Geun Kwag; Jin-O Kim

2014-01-01T23:59:59.000Z

51

An Introduction to Semantic Modeling for Logistical Systems  

E-Print Network [OSTI]

(Internet or Intranet) #12;The Future... Supply chains that sense and respond to the physical world on the flow of data for effective management. · Auto-ID and other technologies will increase the flow of data Data Project ­ Technologies, Infrastructure and Standards for Distributed Interoperable Modeling

Brock, David

52

Letter to the Editor Underestimation of Disease Progress Rates with the Logistic, Monomolecular, and Gompertz Models  

E-Print Network [OSTI]

, with m as the parameter of shape for infected (or diseased). A corollary to this assumption is that all of underestimation (eq. 4). tissue can expand into healthy tissue. Both of these factors can change with time (24 logistic models (Fig. 1). The effect is examined from both ....09 theoretical and empirical perspectives

Neher, Deborah A.

53

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

54

LOGISTICS SUPPORT  

Science Journals Connector (OSTI)

The basic logistics activities such as transportation, inventory management, ... to deliver high levels of customer satisfaction. Logistics support functions perform those activities which move ... strategy and p...

2000-01-01T23:59:59.000Z

55

Modeling, Analysis, and Control of Demand Response Resources  

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

Modeling, Analysis, and Control of Demand Response Resources Modeling, Analysis, and Control of Demand Response Resources Speaker(s): Johanna Mathieu Date: April 27, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Sila Kiliccote While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can play an active role in power systems via Demand Response (DR). Recent DR programs have focused on peak load reduction in commercial buildings and industrial facilities (C&I facilities). We present a regression-based baseline model, which allows us to quantify DR performance. We use this baseline model to understand the performance of C&I facilities participating in an automated dynamic pricing DR program in California. In this program, facilities are

56

The Supply and Demand Models Based on Electricity Consumption  

Science Journals Connector (OSTI)

Analyzing how the supply and demand of a commodity changes as a function of its price is one of the many purposes of the field of economics. The supply and demand model of a commodity is also the most efficient a...

Zhaoguang Hu; Zheng Hu

2013-01-01T23:59:59.000Z

57

MODELING THE DEMAND FOR E85 IN THE UNITED STATES  

SciTech Connect (OSTI)

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.

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

2013-10-01T23:59:59.000Z

58

Building Energy Software Tools Directory: Energy Demand Modeling  

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

Energy Demand Modeling Energy Demand Modeling The software is intended to be used for Energy Demand Modeling. This can be utilized from regional to national level. A Graphical User Interface of the software takes the input from the user in a quite logical and sequential manner. These input leads to output in two distinct form, first, it develops a Reference Energy System, which depicts the flow of energy from the source to sink with all the losses incorporated and second, it gives a MATLAB script file for advance post processing like graphs, visualization and optimizations to develop and evaluate the right energy mix policy frame work for a intended region. Keywords Reference Energy System, Software, GUI, Planning, Energy Demand Model EDM, Energy Policy Planning Validation/Testing

59

Detailed Modeling and Response of Demand Response Enabled Appliances  

SciTech Connect (OSTI)

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.

Vyakaranam, Bharat; Fuller, Jason C.

2014-04-14T23:59:59.000Z

60

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

Gasoline and Diesel Fuel Update (EIA)

COMMERCIAL DEMAND MODULE COMMERCIAL DEMAND MODULE blueball.gif (205 bytes) Floorspace Submodule blueball.gif (205 bytes) Energy Service Demand Submodule blueball.gif (205 bytes) Equipment Choice Submodule blueball.gif (205 bytes) Energy Consumption Submodule The commercial demand module (CDM) forecasts energy consumption by Census division for eight marketed energy sources plus solar thermal energy. For the three major commercial sector fuels, electricity, natural gas and distillate oil, the CDM is a "structural" model and its forecasts are built up from projections of the commercial floorspace stock and of the energy-consuming equipment contained therein. For the remaining five marketed "minor fuels," simple econometric projections are made. The commercial sector encompasses business establishments that are not

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Water supply and demand in an energy supply model  

SciTech Connect (OSTI)

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.

Abbey, D; Loose, V

1980-12-01T23:59:59.000Z

62

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

63

Using Utility Information to Calibrate Customer Demand Management Behavior Models  

E-Print Network [OSTI]

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

64

Application-oriented modelling of domestic energy demand  

Science Journals Connector (OSTI)

Abstract Detailed residential energy consumption data can be used to offer advanced services and provide new business opportunities to all participants in the energy supply chain, including utilities, distributors and customers. The increasing interest in the residential consumption data is behind the roll-out of smart meters in large areas and led to intensified research efforts in new data acquisition technologies for the energy sector. This paper introduces a novel model for generation of residential energy consumption profiles based on the energy demand contribution of each household appliance and calculated by using a probabilistic approach. The model takes into consideration a wide range of household appliances and its modular structure provides a high degree of flexibility. Residential consumption data generated by the proposed model are suitable for development of new services and applications such as residential real-time pricing schemes or tools for energy demand prediction. To demonstrate the main features of the model, an individual household consumption was created and the effects of a possible change in the user behaviour and the appliance configuration presented. In order to show the flexibility offered in creation of the aggregated demand, the detailed simulation results of an energy demand management algorithm applied to an aggregated user group are used.

J.K. Gruber; S. Jahromizadeh; M. Prodanovi?; V. Rako?evi?

2014-01-01T23:59:59.000Z

65

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network [OSTI]

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

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

66

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

Gasoline and Diesel Fuel Update (EIA)

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

67

Modeling Fossil Energy Demands of Primary Nonferrous Metal Production: The Case of Copper  

Science Journals Connector (OSTI)

Modeling Fossil Energy Demands of Primary Nonferrous Metal Production: The Case of Copper ... Alumbrera (Argentina) ...

Pilar Swart; Jo Dewulf

2013-11-22T23:59:59.000Z

68

Electric Water Heater Modeling and Control Strategies for Demand Response  

SciTech Connect (OSTI)

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

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

2012-07-22T23:59:59.000Z

69

Modeling, Analysis, and Control of Demand Response Resources.  

E-Print Network [OSTI]

??While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role in… (more)

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

70

Modeling, Analysis, and Control of Demand Response Resources.  

E-Print Network [OSTI]

?? While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role… (more)

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

71

Ordinal Logistic Regression Model of Failure Mode and Effects Analysis (FMEA) in Pharmaceutical Tabletting Tools  

Science Journals Connector (OSTI)

The main objective of this paper is to use Ordinal Logistic Regression Modeling (OLRM) to predict and to investigate the relationship(s) between the different types of failures encountered in tableting tools of pharmaceutical industry and relevant tablet- and punch attributes. This would help minimize the occurrence of such failures in and avoid potential failure occurrences in future punch designs. Three punch attributes (punch diameter, location and shape) and five product attributes (tablet mass (gm), hardness (Kp), thickness (mm), moisture content (percent loss on drying (LOD %)) and sieve size (mm)) have been investigated in terms of their relative contributions towards different failure types. The present OLRM model has been successfully applied to the predict failure types according to the aforementioned factors. Furthermore, OLRM quantitatively links and evaluates the effects and contribution of each of these factors to the occurrence of different failure types. The OLRM methodology has been validated conveniently and proved to be powerful prediction tool. This is indicated by the marginal 2.4% error percentage encountered.

Mohammad D. AL-Tahat; Abdul Kareem M. Abdul Jawwad; Yousef L. Abu Nahleh

2013-01-01T23:59:59.000Z

72

The National Energy Modeling System: An Overview 2000 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. Figure 7. Industrial Demand Module Structure Industrial energy demand is projected as a combination of “bottom up” characterizations of the energy-using technology and “top down” econometric estimates of behavior. The influence of energy prices on industrial energy consumption is modeled in terms of the efficiency of use of existing capital, the efficiency of new capital acquisitions, and the mix of fuels utilized, given existing capital stocks. Energy conservation from technological change is represented over time by trend-based “technology possibility curves.” These curves represent the aggregate efficiency of all new technologies that are likely to penetrate the future markets as well as the aggregate improvement in efficiency of 1994 technology.

73

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

E-Print Network [OSTI]

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 ...

Grogan, Paul Thomas

74

Modelling future private car energy demand in Ireland  

Science Journals Connector (OSTI)

Targeted measures influencing vehicle technology are increasingly a tool of energy policy makers within the EU as a means of meeting energy efficiency, renewable energy, climate change and energy security goals. This paper develops the modelling capacity for analysing and evaluating such legislation, with a focus on private car energy demand. We populate a baseline car stock and car activity model for Ireland to 2025 using historical car stock data. The model takes account of the lifetime survival profile of different car types, the trends in vehicle activity over the fleet and the fuel price and income elasticities of new car sales and total fleet activity. The impacts of many policy alternatives may only be simulated by such a bottom-up approach, which can aid policy development and evaluation. The level of detail achieved provides specific insights into the technological drivers of energy consumption, thus aiding planning for meeting climate targets. This paper focuses on the methodology and baseline scenario. Baseline results for Ireland forecast a decline in private car energy demand growth (0.2%, compared with 4% in the period 2000–2008), caused by the relative growth in fleet efficiency compared with activity.

Hannah E. Daly; Brian P. Ó Gallachóir

2011-01-01T23:59:59.000Z

75

Communicating Logistics  

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

Logistics Logistics * Delayed or nonexistent communication * Lack of consistency-follow protocols * No overarching coordination * DUF6 communication is poor * Lesson learned: need enhanced, on-going, open communication prior to planning Routing * Re-examine avoiding population centers * Analyze delta between mixed vs. dedicated trains * Flexibility is key component of planning * Selection needs to include state infrastructure Inspections * Cooperate with federal, state, local parties for an integrated role * Schedule during planning process * Coordination to improve use of limited resources * Integrate new technologies TRANSCOM * Needs full funding * Continuous improvement of technology * Great when working * Protocols for assuring data accuracy * Back-up procedure when system is down Incidents & Accidents

76

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

SciTech Connect (OSTI)

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.

Hummon, M.

2014-04-01T23:59:59.000Z

77

LEAPs and Bounds—an Energy Demand and Constraint Optimised Model of the Irish Energy System  

Science Journals Connector (OSTI)

This paper builds a model of energy demand and supply for Ireland with a focus on evaluating, and providing insights for, energy efficiency policies. The demand-side comprises sectoral sub-models, with a ... line...

Fionn Rogan; Caiman J. Cahill; Hannah E. Daly; Denis Dineen…

2014-06-01T23:59:59.000Z

78

The National Energy Modeling System: An Overview 2000 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. Figure 5. Residential Demand Module Structure RDM incorporates the effects of four broadly-defined determinants of energy consumption: economic and demographic effects, structural effects, technology turnover and advancement effects, and energy market effects. Economic and demographic effects include the number, dwelling type (single-family, multi-family or mobile homes), occupants per household, and location of housing units. Structural effects include increasing average dwelling size and changes in the mix of desired end-use services provided by energy (new end uses and/or increasing penetration of current end uses, such as the increasing popularity of electronic equipment and computers). Technology effects include changes in the stock of installed equipment caused by normal turnover of old, worn out equipment with newer versions which tend to be more energy efficient, the integrated effects of equipment and building shell (insulation level) in new construction, and in the projected availability of even more energy-efficient equipment in the future. Energy market effects include the short-run effects of energy prices on energy demands, the longer-run effects of energy prices on the efficiency of purchased equipment and the efficiency of building shells, and limitations on minimum levels of efficiency imposed by legislated efficiency standards.

79

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

E-Print Network [OSTI]

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

Dessouky, Maged

80

Demand Response Analysis in Smart Grids Using Fuzzy Clustering Model  

Science Journals Connector (OSTI)

This paper focuses on an analysis of demand response in a smart grid context, presenting the ... A fuzzy subtractive clustering method is applied to demand response on several domestic consumption scenarios and r...

R. Pereira; A. Fagundes; R. Melício…

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Modelling of networks of production and logistics and analysis of their nonlinear dynamics  

Science Journals Connector (OSTI)

Present networks of production and logistics are characterised by increasing dynamical and structural complexity. Along with the nonlinear dynamics of such networks, an efficient planning and control can typically not be guaranteed and economic risks ... Keywords: operation and production management, optimization, supply chain management

Bernd Scholz-Reiter; Uwe Hinrichs; Reik Donner; Annette Witt

2006-05-01T23:59:59.000Z

82

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

E-Print Network [OSTI]

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

Dessouky, Maged

83

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

E-Print Network [OSTI]

Simple models of district heating systems for load and demand side management and operational heating systems for load and demand side management and operational optimisation Simple modeller and demand side management and operational optimisation © 2004 by the authors, Department of Mechanical

84

Modelling Ad hoc On-demand Distance Vector (AODV) Protocol with Timed Automata  

E-Print Network [OSTI]

protocols using Ad hoc On-demand Distance Vector AODV [DPR02] as our test protocol. AODV is one of mobile adModelling Ad hoc On-demand Distance Vector (AODV) Protocol with Timed Automata Sibusisiwe Chiyangwa On-demand Distance Vector protocol (AODV). Keywords: automatic veri#12;cation, model checking, real

Oxford, University of

85

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

E-Print Network [OSTI]

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, ...

Hartman, Raymond Steve

1978-01-01T23:59:59.000Z

86

A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection  

Science Journals Connector (OSTI)

Abstract City logistics (CL) tends to increase efficiency and mitigate the negative effects of logistics processes and activities and at the same time to support the sustainable development of urban areas. Accordingly, various measures and initiatives are applying and various conceptual solutions are defining. The effects vary depending on the characteristics of the city. This paper proposes a framework for the selection of the CL concept which would be most appropriate for different participants, stakeholders, and which would comply with attributes of the surroundings. CL participants have different, usually conflicting goals and interests, so it is necessary to define a large number of criteria for concepts evaluation. On the other hand, the importance of the criteria is dependent on the specific situation, i.e., a large number of factors describing the surroundings. In situations like this, selecting the best alternative is a complex multi-criteria decision-making (MCDM) problem consisting of conflicting and uncertain elements. A novel hybrid MCDM model that combines fuzzy Decision Making Trial and Evaluation Laboratory Model (DEMATEL), fuzzy Analytical Network Process (ANP) and fuzzy Višekriterijumska Optimizacija i kompromisno Rešenje (VIKOR) methods is developed in this paper. The model provides support to decision makers (planners, city administration, logistics service providers, users, etc.) when selecting the CL concept, which is successfully performed in this paper for the City of Belgrade.

Snežana Tadi?; Slobodan Ze?evi?; Mladen Krsti?

2014-01-01T23:59:59.000Z

87

WORLD-CLASS LOGISTICS  

Science Journals Connector (OSTI)

is the rapid adoption and effective implementation of best logistics practice. logistics enables managers to exploit logistical practice to attract and retain selected customers by providing superior leve...

2000-01-01T23:59:59.000Z

88

New city model to reduce demand for transportation  

Science Journals Connector (OSTI)

Managing demand for transportation can be a cost-effective alternative to increasing capacity. A demand management approach to transport services also has the potential to deliver better environmental outcomes, improved public health and stronger communities, and more prosperous and liveable cities The increased distance between places will have a direct impact on the demand of transportation. Public transport system (MRTS) is an answer to the growing traffic congestion. However, the question is; Is MRTS are the last resort? This paper will be an attempt to regularize the development scenario of the city and thus reducing the demand for transportation.

Sumant Sharma; Anoop Sharma; Ashwani Kumar

2011-01-01T23:59:59.000Z

89

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

SciTech Connect (OSTI)

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

NONE

1998-01-01T23:59:59.000Z

90

Reduced-Order Modeling of Aggregated Thermostatic Loads With Demand Response  

E-Print Network [OSTI]

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

Zhang, Wei

91

Aggregated Modeling and Control of Air Conditioning Loads for Demand Response  

E-Print Network [OSTI]

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

Zhang, Wei

92

A MODEL FOR TIME-AND BUDGET-CONSTRAINED ACTIVITY DEMAND ANALYSIS  

E-Print Network [OSTI]

the derivation of a system of demands for activity participation by applying microeconomic theory in a time-price to be of discrete choices (e.g., Train et al. 1987); many models of jointly estimated demand responses lack-time demand elasticities, values of time, and other behavioral properties. METHODOLOGY Microeconomic

Kockelman, Kara M.

93

Demand models for U.S. domestic air passenger markets  

E-Print Network [OSTI]

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 ...

Eriksen, Steven Edward

1978-01-01T23:59:59.000Z

94

Market-based airport demand management : theory, model and applications  

E-Print Network [OSTI]

The ever-increasing demand for access to the world's major commercial airports combined with capacity constraints at many of these airports have led to increasing air traffic congestion. In particular, the scarcity of ...

Fan, Terence P

2004-01-01T23:59:59.000Z

95

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

SciTech Connect (OSTI)

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.

NONE

1997-01-01T23:59:59.000Z

96

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

E-Print Network [OSTI]

Transitional Modeling of Building Heating Energy Demand Using Artificial1 Neural Network2 Subodh Paudel a.Lecorre@mines-nantes.fr9 Abstract10 This paper presents the building heating demand prediction model with occupancy profile Institution15 building and compared its results with static and other pseudo dynamic neural network models

Paris-Sud XI, Université de

97

Cogeneration System Size Optimization Constant Capacity and Constant Demand Models  

E-Print Network [OSTI]

known to the observer. Hence, the elements of W consists of the totality of outcomes that we associate with the states of nature Wj' Four basic outcomes are defined by the following relations: 1) Pc > Pd 2) Pc Hd 4) Hc Hd Where... and heat demand-there exist the following states of nature Wj: WI Hc > Hd and Pc > Pd w2 Hc > Hd and Pc Hd and Pc > Pd w4 Hc Hd and Pc < Pd where heat and electricity demands are expressed in power unit, i.e kWt and kWe, respectively...

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

98

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

99

Perspectives for logistics clusters development in Russia  

E-Print Network [OSTI]

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: ...

Tantsuyev, Andriy

2012-01-01T23:59:59.000Z

100

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

E-Print Network [OSTI]

the dependency of an electronic system to primary energy sources (i.e. AC power or battery). For reliable 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

Bhunia, Swarup

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

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

E-Print Network [OSTI]

A Theory of Travel Decision-Making with Applications for Modeling Active Travel Demand by Patrick interdisciplinary framework for a theory of travel decision-making with applications for travel demand modeling behavior that have a large influence on the development of the theory of travel decision

Bertini, Robert L.

102

A Full Demand Response Model in Co-Optimized Energy and  

SciTech Connect (OSTI)

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

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

2014-01-01T23:59:59.000Z

103

Prediction of demand trends of coking coal in China based on grey linear regression composition model  

Science Journals Connector (OSTI)

The scarce of coking coal resources in China results in its short supply. By establishing a grey linear regression composition model, this paper has greatly improved the inadequacy of grey system prediction model and regression analysis method in trend prediction and finished the prediction of demand trends of coking coal in China with this model. As result of the prediction, it is estimated that in the next decade, the demand for coking coal in China will experience a growth trend; China's demand for coking coal will reach more than 1.535 billion tons by 2015, reach the maximum of 1.639 billion tons by 2020 and drop in 2025.

Hai-Dong Zhou; Qiang Wu; Min Fang; Zhong-Bao Ren; Li-Fei Jin

2013-01-01T23:59:59.000Z

104

Regression Models for Demand Reduction based on Cluster Analysis of Load  

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

Regression Models for Demand Reduction based on Cluster Analysis of Load Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles Speaker(s): Nobuyuki Yamaguchi Date: March 26, 2009 - 12:00pm Location: 90-3122 This seminar 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. We examined the performance of the proposed models with respect to the validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial

105

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

E-Print Network [OSTI]

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 ...

Cowing, Thomas G.

1982-01-01T23:59:59.000Z

106

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

E-Print Network [OSTI]

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 ...

Turitsyn, Konstantin

107

A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information  

E-Print Network [OSTI]

market share for alternative-fuel vehicles drop from thePreferences for Alternative-Fuel Vehicles”, Brownstone DavidA Dynamic Household Alternative-fuel Vehicle Demand Model

Sheng, Hongyan

1999-01-01T23:59:59.000Z

108

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

Science Journals Connector (OSTI)

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

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

2014-02-01T23:59:59.000Z

109

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

SciTech Connect (OSTI)

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

NONE

1995-02-01T23:59:59.000Z

110

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

SciTech Connect (OSTI)

This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This document 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. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

NONE

1994-08-01T23:59:59.000Z

111

Propane demand modeling for residential sectors- A regression analysis.  

E-Print Network [OSTI]

??This thesis presents a forecasting model for the propane consumption within the residential sector. In this research we explore the dynamic behavior of different variables… (more)

Shenoy, Nitin K.

2011-01-01T23:59:59.000Z

112

Research on traffic impact analysis and organisation design optimisation for logistics park  

Science Journals Connector (OSTI)

This paper describes domestic and international research results and proposes a method system of logistics park traffic impact analysis and organisation design optimisation. Firstly, the basis of logistics park traffic impact analysis is studied, project position and impact scope are analysed. Secondly, we forecast logistics park traffic demand and analyse the adaptability of road section and logistics park. Moreover, on the basis of these, the paper confirms the implemental principle of traffic organisation design optimisation, put forward logistics park traffic organisation design optimisation model based on multi-agent and corresponding algorithm based on evolutionary algorithm. Finally, it uses traffic simulation to simulate the traffic flow of logistics park and gives quantitative traffic impact assessment by visual animation, based on these, traffic organisation advices are put forward so that the traffic problems can be effectively resolved. This paper, by using the proposed method before, takes Zhengzhou National Arterial Highway Logistics Park for empirical studies, combines macro planning software TransCAD and micro traffic simulation platform VISSIM to demonstrate the feasibility and workability of the method, it get good results; this can offer the reference to logistics park planning and design.

Wei Wang; Xuejun Feng; Jianyu Zhang

2010-01-01T23:59:59.000Z

113

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

SciTech Connect (OSTI)

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

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

2014-09-05T23:59:59.000Z

114

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

SciTech Connect (OSTI)

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

NONE

1995-03-01T23:59:59.000Z

115

AMPS, a real-time mesoscale modeling system, has provided a decade of service for scientific and logistical needs and has helped advance polar numerical weather prediction  

E-Print Network [OSTI]

and logistical needs and has helped advance polar numerical weather prediction as well as understanding support for the USAP. The concern at the time was the numerical weather prediction (NWP) guidance-time implementation of the Weather Research and Forecasting model (WRF; Skamarock et al. 2008) to support the U

Howat, Ian M.

116

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

Science Journals Connector (OSTI)

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

Abtin Boostani; Reza Ghodsi; Ali Kamali Miab

2010-05-01T23:59:59.000Z

117

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

SciTech Connect (OSTI)

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

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

2012-01-04T23:59:59.000Z

118

Reduced-Order Modeling of Aggregated Thermostatic Loads With Demand Response  

SciTech Connect (OSTI)

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

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

2012-12-12T23:59:59.000Z

119

Service based logistics optimization  

E-Print Network [OSTI]

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

Price, Gregory D., Jr

2014-01-01T23:59:59.000Z

120

SEVEN “RIGHTS” OF LOGISTICS  

Science Journals Connector (OSTI)

For many years, logistics management was viewed as a necessary evil. That is, logistics activities had were needed for a manufacturing or retail firm to stay in business, but these activities were not seen as ...

2000-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Activity based travel demand models as a tool for evaluating sustainable transportation policies  

Science Journals Connector (OSTI)

India is in the course of an economic transition. The economic growth nurtured the life in the cities and cities have become a major livelihood destination for everyone. This migration of people contributed to the increased urbanization of Indian cities. The booming economy fostered the well-being and shaped the lifestyle of people in such a way that the dependency on private vehicle has become an unavoidable affair. Along with population growth, the increased vehicle ownership gave rise to overall spurt in travel demand. But the supply side lagged behind the demand adding to many of the transport related externalities such as accidents, congestion, pollution, inequity etc. The importance of sustainability is understood in the current urban transport scenario leading to the development and promotion of sustainable transport polices. The core agenda of these polices is to target the travel behavior of people and change the way they travel by creating a different travel environment. However, the impacts of many such policies are either unknown or complex. Hence, before adopting and implementing such policies, it is important for the decision makers to be aware of the impacts of them. The role of travel demand models comes here as they predict the future travel demand under different policy scenarios. This paper reviews the ability of travel demand models applied in India in analyzing the sustainable transport policies. The study found that the conventional model system in India, which is trip based four step aggregate methodology, is inadequate in analyzing the sustainable transport policies. A review of alternative approach, known as activity based travel demand modeling found that they are capable of handling such policies better than conventional models and are assistive to the decision makers in arriving at right mix of polices specific to the situations. Since there is no operational activity based travel demand model system developed in India, the study at the end envisaged a conceptual framework of an integrated activity based travel demand model based on the requirements identified from the review. This can potentially replace the existing travel demand models and can be used for planning applications once the modification & validation have been done according to the existing activity-travel behavior of individuals.

Manoj Malayath; Ashish Verma

2013-01-01T23:59:59.000Z

122

Development and application of econometric demand and supply models for selected Chesapeake Bay seafood products  

SciTech Connect (OSTI)

Five models were developed to forecast future Chesapeake seafood product prices, harvest quantities, and resulting income. Annual econometric models are documented for oysters, hard and soft blue crabs, and hard and soft clams. To the degree that data permit, these models represent demand and supply at the retail, wholesale, and harvest levels. The resulting models have broad applications in environmental policy issues and regulatory analyses for the Chesapeake Bay. 37 references, 10 figures, 99 tables.

Nieves, L.A.; Moe, R.J.

1984-12-01T23:59:59.000Z

123

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

SciTech Connect (OSTI)

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.

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

2014-01-31T23:59:59.000Z

124

BROMEX Logistics Meeting plan  

E-Print Network [OSTI]

BROMEX Logistics Meeting plan Fairbanks, Alaska 22-23 Feb 2011 #12;22 Feb 2011 ­ Photo taken by Son

Rigor, Ignatius G.

125

Logistics: Keeping cool  

Science Journals Connector (OSTI)

... Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. 10.1038/507S8aLogistics: Keeping cool NeilSavageN

Neil Savage

2014-03-05T23:59:59.000Z

126

An EOQ model for rebate value and selling-price-dependent demand rate with shortages  

Science Journals Connector (OSTI)

In this paper, we develop a deterministic purchasing inventory model for a single item over an infinite horizon. In addition, shortages are allowed and the unsatisfied demand is partially backlogged. The model is studied under the replenishment policy, shortages followed by inventory. The backlogging rate is any non-increasing function of the waiting time up to the next replenishment. The objective of this model is to maximise the Total Profit (TP), which includes sales revenue, purchase cost, the set-up cost, holding cost, rebate redemption cost, shortage cost and opportunity cost due to lost sales. Here, demand varies with price and rebate value. The existence and uniqueness of the proposed systems are examined. Finally, numerical examples are presented to determine the developed model and the solution procedure. Sensitivity analysis of the optimal solution with respect to major parameters is carried out. We propose a solution procedure to find the solution and obtain some managerial results by using sensitivity analysis.

M. Valliathal; R. Uthayakumar

2011-01-01T23:59:59.000Z

127

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

SciTech Connect (OSTI)

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.

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

2012-04-29T23:59:59.000Z

128

Performance analysis of demand planning approaches for aggregating, forecasting and disaggregating interrelated demands  

Science Journals Connector (OSTI)

A synchronized and responsive flow of materials, information, funds, processes and services is the goal of supply chain planning. Demand planning, which is the very first step of supply chain planning, determines the effectiveness of manufacturing and logistic operations in the chain. Propagation and magnification of the uncertainty of demand signals through the supply chain, referred to as the bullwhip effect, is the major cause of ineffective operation plans. Therefore, a flexible and robust supply chain forecasting system is necessary for industrial planners to quickly respond to the volatile demand. Appropriate demand aggregation and statistical forecasting approaches are known to be effective in managing the demand variability. This paper uses the bivariate VAR(1) time series model as a study vehicle to investigate the effects of aggregating, forecasting and disaggregating two interrelated demands. Through theoretical development and systematic analysis, guidelines are provided to select proper demand planning approaches. A very important finding of this research is that disaggregation of a forecasted aggregated demand should be employed when the aggregated demand is very predictable through its positive autocorrelation. Moreover, the large positive correlation between demands can enhance the predictability and thus result in more accurate forecasts when statistical forecasting methods are used.

Argon Chen; Jakey Blue

2010-01-01T23:59:59.000Z

129

Coordinating Regulation and Demand Response in Electric Power Grids: Direct and Price-Based Tracking Using Multirate Economic Model Predictive Control  

Science Journals Connector (OSTI)

?Based on “Coordinating regulation and demand response in electric power grids using multirate model...

Haitham Hindi; Daniel Greene…

2012-01-01T23:59:59.000Z

130

ACCURATE ESTIMATION OF TARGET AMOUNTS USING EXPANDED BASS MODEL FOR DEMAND?SIDE MANAGEMENT  

Science Journals Connector (OSTI)

The electricity demand in Korea has rapidly increased along with a steady economic growth since 1970s. Therefore Korea has positively propelled not only SSM (Supply?Side Management) but also DSM (Demand?Side Management) activities to reduce investment cost of generating units and to save supply costs of electricity through the enhancement of whole national energy utilization efficiency. However study for rebate which have influence on success or failure on DSM program is not sufficient. This paper executed to modeling mathematically expanded Bass model considering rebates which have influence on penetration amounts for DSM program. To reflect rebate effect more preciously the pricing function using in expanded Bass model directly reflects response of potential participants for rebate level.

Hyun?Woong Kim; Jong?Jin Park; Jin?O. Kim

2008-01-01T23:59:59.000Z

131

FUTURE LOGISTICS LIVING LABORATORY  

E-Print Network [OSTI]

FUTURE LOGISTICS LIVING LABORATORY Delivering Innovation The Future Logistics Living Lab is a collaboration between NICTA, SAP and Fraunhofer. Australia's first Living Lab provides a platform for industry and research to work together, to investigate real-world problems and to demonstrate innovative technology

Heiser, Gernot

132

Logistics implications of electric car manufacturing  

Science Journals Connector (OSTI)

The increasingly important role of electric cars manufacturing needs to develop new logistics concepts in automotive industry. This article analyses critical issues in logistics operations of electric cars based on the in-house perspective of the car manufacturer. The purpose of this paper is two-fold. Firstly, to verify existing research about the impact of electric car manufacturing on logistics operations. Secondly, to investigate concrete logistics implications based on different electric car operations models. Therefore, we use manufacturing phenotypes, which can be applied to separate and classify configuration and coordination principles and helps to reach a better understanding of relationships with their logistics implications. The presented model is based on real case study data of global auto industry and supports the academic study of cross-site comparisons. A holistic and consistent understanding of different operations types in electric car manufacturing will be necessary, which will help in evaluating the actual and future supply chain forms in the car industry.

Florian Klug

2014-01-01T23:59:59.000Z

133

Modeling, Estimation, and Control in Energy Systems: Batteries & Demand Response  

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

Modeling, Modeling, Estimation, and Control in Energy Systems: Batteries & Demand Response Scott Moura Assistant Professor Civl & Environmental Engineering University of California, Berkeley EETD | LBNL Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 1 Source: Vaclav Smil Estimates from Energy Transitions Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 2 Energy Initiatives Denmark 50% wind penetration by 2025 Brazil uses 86% renewables China's aggressive energy/carbon intensity reduction EV Everywhere SunShot Green Button Zero emissions vehicle (ZEV) 33% renewables by 2020 Go Solar California Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 3 Energy Systems of Interest Energy storage Smart Grids (e.g., batteries) (e.g., demand response) Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 4 Energy

134

Logistics Research and the Logistics World of 2050  

Science Journals Connector (OSTI)

Without doubt the logistics industry as well as logistics research are a central element of worldwide ... and funding is directed towards innovative research in logistics – sustaining the broad expectations towar...

Matthias Klumpp; Uwe Clausen; Michael ten Hompel

2013-01-01T23:59:59.000Z

135

December 2009 ARMY MEDICAL LOGISTICS  

E-Print Network [OSTI]

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

US Army Corps of Engineers

136

Logistic Map Potentials  

E-Print Network [OSTI]

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

Thomas Curtright; Andrzej Veitia

2010-05-27T23:59:59.000Z

137

THIRD PARTY LOGISTICS RELATIONSHIP  

Science Journals Connector (OSTI)

A is one in which a shipper or manufacturer outsources, or contracts with an external organization to handles some or all of their transportation and logistics functions. Thus, for example, a manufacturer ma...

2000-01-01T23:59:59.000Z

138

Modeling the effects of demand response on generation expansion planning in restructured power systems  

Science Journals Connector (OSTI)

Demand response is becoming a promising field of study ... . More attention has recently been paid to demand response programs. Customers can contribute to the operation of power systems by deployment demand response

Mahdi Samadi; Mohammad Hossein Javidi…

2013-12-01T23:59:59.000Z

139

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

E-Print Network [OSTI]

purposes of calculating energy demand for water-heating, thethese questions, and energy demand. Given the lack of real-to calculate “useful energy demand” for space heating. With

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

2014-01-01T23:59:59.000Z

140

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

SciTech Connect (OSTI)

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.

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

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

A Comparison of Single- and Multi-parameter Wave Criteria for Accessing Wind Turbines in Strategic Maintenance and Logistics Models for Offshore Wind Farms  

Science Journals Connector (OSTI)

Abstract Different vessel types for transferring technicians for maintenance and inspection of offshore wind farms are often evaluated and compared by their limiting significant wave height for accessing the wind turbines. The limiting significant wave height is also the parameter that is often used as the access criteria in strategic decision support tools for maintenance and logistics for offshore wind farms. In practice, however, other wave parameters, such as the peak wave period and wave heading, have major influence on the accessibility to a wind turbine for a given vessel. We compare the use of single-parameter and multi-parameter wave criteria for access to wind turbines in two strategic maintenance and logistics models for offshore wind farms: one simulation model and one optimization model. Multi-parameter wave criteria in the form of limiting significant wave heights as functions of peak wave period and wave heading are obtained by numerical analysis of the vessel docking operation. Results for availability, operation and maintenance costs and the optimal vessel fleet size and mix are found using both these multi-parameter wave criteria and using a corresponding single-parameter limiting significant wave height. The comparison indicates that the use of a single limiting significant wave height can give similar results as when using more complex multi-parameter wave criteria. An important precondition is that the single limiting significant wave height is carefully chosen to represent the vessel and the wave conditions.

Iver Bakken Sperstad; Elin E. Halvorsen-Weare; Matthias Hofmann; Lars Magne Nonås; Magnus Stålhane; MingKang Wu

2014-01-01T23:59:59.000Z

142

On Planning and Design of Logistics Systems for Uncertain Environments  

E-Print Network [OSTI]

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

Daganzo, Carlos F.

143

Studies on Integrated Management and Technology System of Cycling Logistics  

Science Journals Connector (OSTI)

The frame on integrated management system of cycling logistics is constructed. The content, function, structure, realization process, operation model of the business and technical systems that consist of cycling logistics integrated management are preliminarily ... Keywords: Cycling Logistics, integrated management, technology System, Service System

Huan Zhang; Zhong Cheng; Yi Lu

2008-10-01T23:59:59.000Z

144

Business logistics and logistics engineering: the rocky road to a unified science of logistics  

Science Journals Connector (OSTI)

A “science of logistics”: Is there any? And if so ... know that different members of the large worldwide logistics community (which certainly does exist) would...

Peter Klaus

2010-06-01T23:59:59.000Z

145

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

E-Print Network [OSTI]

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

Kaminsky, Philip M.

146

Integrated spare parts logistics and operations planning for maintenance service providers  

Science Journals Connector (OSTI)

Abstract This paper considers the problem of coordinated spare-part logistics and operations planning for third-party maintenance providers. Due to the multi-indenture structure of the equipment, different types of components might randomly fail to perform at different points of time. The spare part logistics literature has been focused on spare part inventory management in an in-house maintenance context. In this article, a mathematical programming model is first developed to formulate the problem in the context of a third-party maintenance provider who is faced with strict due dates for the delivery of repaired equipment. The model seeks the optimal number of maintenance jobs that can be completed to deliver at each period, as well as the order quantity of spare parts so as to minimize the procurement, inventory, and equipment late delivery costs, while taking into account the spare part supply lead-time. Next, we model the spare part demand uncertainty as a non-stationary stochastic process in each period in the planning horizon. The deterministic model is then reformulated as a multi-stage stochastic program with recourse. We also discuss the complexity of the stochastic model and propose a preprocessing approach to reduce its size for large instances. Numerical results demonstrate how the proposed model links the spare part logistics and equipment delivery decisions under spare part demand uncertainty.

Masoumeh Kazemi Zanjani; Mustapha Nourelfath

2014-01-01T23:59:59.000Z

147

Development and validation of regression models to predict monthly heating demand for residential buildings  

Science Journals Connector (OSTI)

The present research work concerns development of regression models to predict the monthly heating demand for single-family residential sector in temperate climates, with the aim to be used by architects or design engineers as support tools in the very first stage of their projects in finding efficiently energetic solutions. Another interest to use such simplified models is to make it possible a very quick parametric study in order to optimize the building structure versus environmental or economic criteria. All the energy prediction models were based on an extended database obtained by dynamic simulations for 16 major cities of France. The inputs for the regression models are the building shape factor, the building envelope U-value, the window to floor area ratio, the building time constant and the climate which is defined as function of the sol-air temperature and heating set-point. If the neural network (NN) methods could give precise representations in predicting energy use, with the advantage that they are capable of adjusting themselves to unexpected pattern changes in the incoming data, the multiple regression analysis was also found to be an efficient method, nevertheless with the requirement that an extended database should be used for the regression. The validation is probably the most important level when trying to find prediction models, so 270 different scenarios are analysed in this research work for different inputs of the models. It has been established that the energy equations obtained can do predictions quite well, a maximum deviation between the predicted and the simulated is noticed to be 5.1% for Nice climate, with an average error of 2%. In this paper, we also show that is possible to predict the building heating demand even for more complex scenarios, when the construction is adjacent to non-heated spaces, basements or roof attics.

Tiberiu Catalina; Joseph Virgone; Eric Blanco

2008-01-01T23:59:59.000Z

148

Modeling of Demand Side Management Options for Commercial Sector in Maharashtra  

Science Journals Connector (OSTI)

Abstract There has been an unbalance between demand and supply of electricity in Maharashtra, a shortage of 20% peak power was reported in year 2011-12. Demand side management (DSM) in the commercial sector (consuming about 12% of the state electricity) can help to bridge this gap. In this paper three DSM options namely global temperature adjustment (GTA), chilled water storage (CWS) and variable air volume system (VAVS) are evaluated to give potential energy savings and load shifting. Simulation of GTA model for a sample school building gave 21.3% saving in compressor work for a change of room settings from 23oC, 50% RH to 26oC, 40% RH. Model for CWS was simulated for an office building in Mumbai; the results showed a cooling load shifting of 1638TRh out of 2075TRh was possible with an optimum tank size of 450kl. Simulation of VAVS for a sample school building showed fan energy savings of 68% over CAVS.

Vishal Vadabhat; Rangan Banerjee

2014-01-01T23:59:59.000Z

149

Alternative Fuels, Vehicle Technologies and Urban Logistics  

E-Print Network [OSTI]

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

Witt, Maggie

2012-01-01T23:59:59.000Z

150

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

E-Print Network [OSTI]

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.

Turitsyn, Konstantin; Ananyev, Maxim; Chertkov, Michael

2011-01-01T23:59:59.000Z

151

Project Proposal Project Logistics  

E-Print Network [OSTI]

Project Proposal · Project Logistics: ­ 2-3 person teams ­ Significant implementation, worth 55 and anticipated cost of copying to/from host memory. IV. Intellectual Challenges - Generally, what makes this computation worthy of a project? - Point to any difficulties you anticipate at present in achieving high

Hall, Mary W.

152

A hybrid inventory management system respondingto regular demand and surge demand  

SciTech Connect (OSTI)

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.

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

2014-06-01T23:59:59.000Z

153

Service facilities with Markovian demand and deterministic supply with an application in repair modelling  

Science Journals Connector (OSTI)

......calculus|supply and demand|transient analysis...SCILAB| IMA Journal of Management Mathematics (2010...facilities with Markovian demand and deterministic supply...result on deterministic demand and Markovian supply...event on the left-hand side of (2) can be rewritten......

Attila Csenki

2010-10-01T23:59:59.000Z

154

Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 69 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation 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 applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight and passenger rail, freight shipping, and miscellaneous

155

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...

156

Logistics managers' views of Six Sigma integration within logistics operations  

Science Journals Connector (OSTI)

Logistics managers are required to efficiently and effectively manage logistics operations. One of the tools they employ to meet this requirement is the integration of Six Sigma. This study surveyed logistics managers on the east coast of the USA to determine their level of acceptance of the integration of Six Sigma within logistics operations and to identify the components of Six Sigma that require modification for successful integration. The results of this study revealed that despite the management style (Theory X or Theory Y), 88% of managers believe Six Sigma is compatible with logistics managers' roles and responsibilities. Furthermore, adaptation of logistics processes to Six Sigma requirements proved more compatible than the adaptation of Six Sigma to logistics processes. Also, the adaptation of logistics processes to accommodate Six Sigma had a significant impact on organisational savings and on successful Six Sigma implementation.

Sam Khoury; Kouroush Jenab; Selva Staub; Matthew Mode

2013-01-01T23:59:59.000Z

157

Green Logistics: Comparability of the Environmental Effects of Logistics Services  

Science Journals Connector (OSTI)

The identification of relevant control levers is required for the realisation of logistics services that are efficient in terms of resources and energy. In the “Green Logistics” project, a standardised, comprehen...

Kerstin Dobers; Ralf Röhrig; David Rüdiger; Marc Schneider

2013-01-01T23:59:59.000Z

158

Influence of Tangent Pinch Points on the Energy Demand of Batch Distillations: Development of a Conceptual Model for Binary Mixtures  

Science Journals Connector (OSTI)

Influence of Tangent Pinch Points on the Energy Demand of Batch Distillations: Development of a Conceptual Model for Binary Mixtures ... The algorithm requires the evaluation of a series of points (x0,f0), (x1,f1), ..., (xn,fn), and it demands the smallest number of function evaluations in comparison with other methods as a consequence of using the information from previous iterations to generate greater order estimations of the inverse function (lineal, quadratic, etc.). ...

Karina Andrea Torres; Jose? Espinosa

2011-04-08T23:59:59.000Z

159

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

160

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information  

E-Print Network [OSTI]

Potential Demand for Electric Cars”, Journal of Economrtricsand one large car) and one mini electric car. The two modelsscenarios: (i) a subcompact electric car is introduced to

Sheng, Hongyan

1999-01-01T23:59:59.000Z

162

Modeling demand response and economic impact of advanced and smart metering  

Science Journals Connector (OSTI)

Advanced metering constitutes an essential component of communications between electricity suppliers and consumers. It may be possible to augment demand response by coupling Advanced Metering Infrastructure (AMI)...

Praneeth Aketi; Suvrajeet Sen

2014-09-01T23:59:59.000Z

163

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

Open Energy Info (EERE)

Analysis of Energy Demand (MAED-2) AgencyCompany Organization: International Atomic Energy Agency Sector: Energy Focus Area: Renewable Energy, Energy Efficiency Topics: Pathways...

164

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

165

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

E-Print Network [OSTI]

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...

Ikeda, Yuichi; Kataoka, Kazuto; Ogimoto, Kazuhiko

2011-01-01T23:59:59.000Z

166

The BeyWatch Conceptual Model for Demand-Side Management  

Science Journals Connector (OSTI)

The BeyWatch project designs, develops and evaluates an innovative, energy-aware and user-centric solution, able to provide intelligent energy monitoring/control and power demand balancing at home/building and la...

Menelaos Perdikeas; Theodore Zahariadis…

2011-01-01T23:59:59.000Z

167

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

E-Print Network [OSTI]

energy use” covers the use of electricity, gas and oil within the home for space and water heating and electricalenergy demand. These exercises led us to focus on electrical

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

2014-01-01T23:59:59.000Z

168

A Transaction Choice Model for Forecasting Demand for Alternative-Fuel Vehicles  

E-Print Network [OSTI]

Forecasting Demand Alternative-Fuel Vehicles for DavldNG DEMANDFOR ALTERNATIVE-FUEL VEHICLES DavidBrownstone,interested in promoting alternative-fuel vehicles. Tl’us is

Brownstone, David; Bunch, David S.; Golob, Thomas F.; Ren, Weiping

1996-01-01T23:59:59.000Z

169

A Transactions Choice Model for Forecasting Demand for Alternative-Fuel Vehicles  

E-Print Network [OSTI]

Forecasting Demand Alternative-Fuel Vehicles for DavldNG DEMANDFOR ALTERNATIVE-FUEL VEHICLES DavidBrownstone,interested in promoting alternative-fuel vehicles. Tl’us is

Brownstone, David; Bunch, David S; Golob, Thomas F; Ren, Weiping

1996-01-01T23:59:59.000Z

170

Modelling useful energy demand system as derived from basic needs in the household sector  

Science Journals Connector (OSTI)

Inter-fuel substitution in the household sector depends on whether their target energy use is similar or not. To account ... for the effect of end-use application on energy demand, the concept of useful energy is...

Zahra A. Barkhordar; Yadollah Saboohi

2014-10-01T23:59:59.000Z

171

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

Reports and Publications (EIA)

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.

1998-01-01T23:59:59.000Z

172

Energy demand  

Science Journals Connector (OSTI)

The basic forces pushing up energy demand are population increase and economic growth. From ... of these it is possible to estimate future energy requirements.

Geoffrey Greenhalgh

1980-01-01T23:59:59.000Z

173

Current Directions in Freight and Logistics Industry  

E-Print Network [OSTI]

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

Minnesota, University of

174

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

E-Print Network [OSTI]

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

van der Aalst, Wil

175

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

E-Print Network [OSTI]

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

van der Aalst, Wil

176

The dynamics of the China logistics industry  

E-Print Network [OSTI]

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 ...

Cen, Xuepin

2005-01-01T23:59:59.000Z

177

Logistics Outsourcing and 3PL Challenges  

E-Print Network [OSTI]

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, ...

Cheong, Michelle L.F.

178

Center for Excellence in Logistics and Distribution  

E-Print Network [OSTI]

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

Noble, James S.

179

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

SciTech Connect (OSTI)

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.

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

180

Logistics clusters : prevalence and impact  

E-Print Network [OSTI]

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 ...

Rivera Virgüez, Myriam Liliana

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Exponential smoothing models: Means and variances for lead-time demand  

Science Journals Connector (OSTI)

Exponential smoothing is often used to forecast lead-time demand (LTD) for inventory control. In this paper, formulae are provided for calculating means and variances of LTD for a wide variety of exponential smoothing methods. A feature of many of the formulae is that variances, as well as the means, depend on trends and seasonal effects. Thus, these formulae provide the opportunity to implement methods that ensure that safety stocks adjust to changes in trend or changes in season. An example using weekly sales shows how safety stocks can be seriously underestimated during peak sales periods.

Ralph D Snyder; Anne B Koehler; Rob J Hyndman; J.Keith Ord

2004-01-01T23:59:59.000Z

182

Analysis of Transportation and Logistics Challenges Affecting...  

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

of Transportation and Logistics Challenges Affecting the Deployment of Larger Wind Turbines: Summary of Results Analysis of Transportation and Logistics Challenges Affecting...

183

NERSC/DOE HEP Requirements Workshop Logistics  

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

Logistics Workshop Logistics Workshop Location Hilton Washington DCRockville Executive Meeting Center 1750 Rockville Pike Rockville, MD, 20852 The hotel is about 27 miles...

184

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...

185

Protecting Finnish defence security: a logistics challenge  

Science Journals Connector (OSTI)

This study examines how Finland can secure efficient logistics for the use of their military forces. In doing so, it examines how logistics service providers (LSPs) in countries with higher cost structures can maintain their profitability when competing against transport companies in countries with lower cost structures. The empirical data was gathered from Finnish LSPs in 2008. The survey resulted in 460 acceptable responses. The research models were tested with structural equation modelling (SEM). The results suggest that LSPs can not increase their profits with their negotiation power. However, a positive image of the industry seems to facilitate profitability. In addition, contracts seem to facilitate the profitability of the LSPs, but only if those are accurate and updated. As a conclusion, in addition to negotiation power and contracts, the image of the industry is found to be important as well when LSPs want to increase their profits.

J. Juntunen; M. Juntunen; V. Autere

2011-01-01T23:59:59.000Z

186

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

E-Print Network [OSTI]

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

Nagurney, Anna

187

AISLE: analytical integrated software for a logistics environment  

Science Journals Connector (OSTI)

Fundamental to any logistics strategy is the minimisation of the costs of transportation, warehousing, inventory, and order processing while achieving the desired level of customer service. Benefits may be further leveraged through the coordinated management of related activities. Although a variety of logistics software has been developed, relevant variable marketing and distribution costs are frequently ignored. A prototype decision support system was developed during this research. It performs profitability analyses using the historical data contained in its database tables, and highlights the net customer profit margin for a given customer profile. It also displays the individual logistics, marketing and current asset charges, and can be used to evaluate the contribution margins of various customers. 'What-if' analysis helps the user to change critical demand, product, and marketing cost parameters in order to analyse their impact on the base case costs.

Gary P. Moynihan; Nandagopal Padmanabhan

2006-01-01T23:59:59.000Z

188

Logistics Micro-platforms as Points of Supply in Case of a Disaster  

Science Journals Connector (OSTI)

Abstract Within a city, the logistics are always related to the commercial activities and do not take into account the occurrence of an emergency. This study aims to change the mindset that the use of a distribution center is merely commercial, and proposing find a secondary use related to humanitarian logistics aspects. The novel of the study is the combination of humanitarian logistics with new urban logistics strategies, through mathematical modeling.

Hidalgo David; Gámez Harol

2014-01-01T23:59:59.000Z

189

Reverse logistics network design for spent batteries: a simulation study  

Science Journals Connector (OSTI)

End of life (EOL) product management, which encompasses reuse, remanufacturing and materials recycling, requires a structured reverse logistic network in order to collect products efficiently at the end of their life cycle. This work describes modelling and simulation of reverse logistics network design for collection of spent batteries for Sangrur District of North India. To compare different order assignment, a simulation model of forward and reverse logistics networks has been developed. Several simulation experiments have been designed to analyse impact of the system design factors on the operational performance of the reverse logistics system. The simulation results show that the model presented in this paper calculates the battery collection cost, transfer time, transfer cost, and resource utilisation in a predictable manner. Moreover, it provides a tool to understand how the system behaves by carrying out 'what-if' assessments and to identify which parameters are most important for more detailed analysis.

Arvind Jayant; Pardeep Gupta; S.K. Garg

2014-01-01T23:59:59.000Z

190

Hierarchical logistic equation to describe the dynamical behavior of penetration rates  

E-Print Network [OSTI]

We propose a hierarchical logistic equation as a model to describe the dynamical behavior of a penetration rate of a prevalent stuff. In this model, a memory, how many people who already possess it a person who does not process it yet met, is considered, which does not exist in the logistic model. As an application, we apply this model to iPod sales data, and find that this model can approximate the data much better than the logistic equation.

Tashiro, Tohru; Chiba, Michiko

2012-01-01T23:59:59.000Z

191

Distribution Load Modelling for Demand Side Management and End-Use Efficiency  

Science Journals Connector (OSTI)

The problem of electric load modelling for low aggregation levels is addressed in the paper, being the object to obtain good “response” behaviour models of any group of loads in an electric energy distribution...

C. Álvarez; A. Gabaldón

1994-01-01T23:59:59.000Z

192

An inverse PDE-ODE model for studying building energy demand  

Science Journals Connector (OSTI)

Development of an accurate heat transfer model of buildings is of high importance. Such a model can be used for analyzing energy efficiency of buildings, predicting energy consumption and providing decision support for energy efficient operation of buildings. ...

Lianjun An, Young Tae Chae, Raya Horesh, Young Lee, Rui Zhang

2013-12-01T23:59:59.000Z

193

University of North Florida Logistics and Supply  

E-Print Network [OSTI]

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

Asaithambi, Asai

194

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Demand Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Demand Module calculates energy consumption for the four Census Regions (see Figure 5) and disaggregates the energy consumption

195

demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

196

Logistics background study: underground mining  

SciTech Connect (OSTI)

Logistical functions that are normally associated with US underground coal mining are investigated and analyzed. These functions imply all activities and services that support the producing sections of the mine. The report provides a better understanding of how these functions impact coal production in terms of time, cost, and safety. Major underground logistics activities are analyzed and include: transportation and personnel, supplies and equipment; transportation of coal and rock; electrical distribution and communications systems; water handling; hydraulics; and ventilation systems. Recommended areas for future research are identified and prioritized.

Hanslovan, J. J.; Visovsky, R. G.

1982-02-01T23:59:59.000Z

197

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

E-Print Network [OSTI]

. Wage Elasticities of Hired Farm Labor Markets , , 3O 3. Order Condition of the Hypothesized Model 4. Estimated Model Coefficients for Texas Hired Farm Labor (1951-1975) 5. Wage El asti cities of Oemand and Immigration Elas- ticities of Supply 58...

Turley, Keith Pool

2012-06-07T23:59:59.000Z

198

Demand Activated Manufacturing Architecture  

SciTech Connect (OSTI)

Honeywell Federal Manufacturing & Technologies (FM&T) engineers John Zimmerman and Tom Bender directed separate projects within this CRADA. This Project Accomplishments Summary contains their reports independently. Zimmerman: In 1998 Honeywell FM&T partnered with the Demand Activated Manufacturing Architecture (DAMA) Cooperative Business Management Program to pilot the Supply Chain Integration Planning Prototype (SCIP). At the time, FM&T was developing an enterprise-wide supply chain management prototype called the Integrated Programmatic Scheduling System (IPSS) to improve the DOE's Nuclear Weapons Complex (NWC) supply chain. In the CRADA partnership, FM&T provided the IPSS technical and business infrastructure as a test bed for SCIP technology, and this would provide FM&T the opportunity to evaluate SCIP as the central schedule engine and decision support tool for IPSS. FM&T agreed to do the bulk of the work for piloting SCIP. In support of that aim, DAMA needed specific DOE Defense Programs opportunities to prove the value of its supply chain architecture and tools. In this partnership, FM&T teamed with Sandia National Labs (SNL), Division 6534, the other DAMA partner and developer of SCIP. FM&T tested SCIP in 1998 and 1999. Testing ended in 1999 when DAMA CRADA funding for FM&T ceased. Before entering the partnership, FM&T discovered that the DAMA SCIP technology had an array of applications in strategic, tactical, and operational planning and scheduling. At the time, FM&T planned to improve its supply chain performance by modernizing the NWC-wide planning and scheduling business processes and tools. The modernization took the form of a distributed client-server planning and scheduling system (IPSS) for planners and schedulers to use throughout the NWC on desktops through an off-the-shelf WEB browser. The planning and scheduling process within the NWC then, and today, is a labor-intensive paper-based method that plans and schedules more than 8,000 shipped parts per month based on more than 50 manually-created document types. The fact that DAMA and FM&T desired to move from paper-based manual architectures to digitally based computer architectures gave further incentive for the partnership to grow. FM&T's greatest strength was its knowledge of NWC-wide scheduling and planning with its role as the NWC leader in manufacturing logistics. DAMA's asset was its new knowledge gained in the research and development of advanced architectures and tools for supply chain management in the textiles industry. These complimentary strengths allowed the two parties to provide both the context and the tools for the pilot. Bender: Honeywell FM&T participated in a four-site supply chain project, also referred to as an Inter-Enterprise Pipeline Evaluation. The MSAD project was selected because it involves four NWC sites: FM&T, Pantex, Los Alamos National Laboratory (LANL), and Lawrence Livermore National Laboratory (LLNL). FM&T had previously participated with Los Alamos National Laboratory in FY98 to model a two-site supply chain project, between FM&T and LANL. Evaluation of a Supply Chain Methodology is a subset of the DAMA project for the AMTEX consortium. LANL organization TSA-7, Enterprise Modeling and Simulation, has been involved in AMTEX and DAMA through development of process models and simulations for LANL, the NWC, and others. The FY 1998 and this FY 1999 projects directly involved collaboration between Honeywell and the Enterprise Modeling and Simulation (TSA-7) and Detonation Science and Technology (DX1) organizations at LANL.

Bender, T.R.; Zimmerman, J.J.

2001-02-07T23:59:59.000Z

199

Facilitating Renewable Integration by Demand Response  

Science Journals Connector (OSTI)

Demand response is seen as one of the resources ... expected to incentivize small consumers to participate in demand response. This chapter models the involvement of small consumers in demand response programs wi...

Juan M. Morales; Antonio J. Conejo…

2014-01-01T23:59:59.000Z

200

Modeling the Energy Demands and Greenhouse Gas Emissions of the Canadian Oil Sands Industry  

Science Journals Connector (OSTI)

In this study, the energy requirements associated with producing synthetic crude oil (SCO) and bitumen from oil sands are modeled and quantified, on the basis of current commercially used production schemes. The production schemes were (a) mined bitumen, ...

Guillermo Ordorica-Garcia; Eric Croiset; Peter Douglas; Ali Elkamel; Murlidhar Gupta

2007-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

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

E-Print Network [OSTI]

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

Assad, Albert

2009-01-01T23:59:59.000Z

202

Modeling corner solutions with panel data: Application to the industrial energy demand in France  

Science Journals Connector (OSTI)

This paper provides an empirical application of Lee and Pitt’s (1986) approach to the problem of corner solutions in the case of panel data. This model deals with corner solutions in a manner consistent with the ...

Raja Chakir; Alain Bousquet; Norbert Ladoux

2004-01-01T23:59:59.000Z

203

Vision 2023: Forecasting Turkey's natural gas demand between 2013 and 2030  

Science Journals Connector (OSTI)

Natural gas is the primary source for electricity production in Turkey. However, Turkey does not have indigenous resources and imports more than 98.0% of the natural gas it consumes. In 2011, more than 20.0% of Turkey's annual trade deficit was due to imported natural gas, estimated at US$ 20.0 billion. Turkish government has very ambitious targets for the country's energy sector in the next decade according to the Vision 2023 agenda. Previously, we have estimated that Turkey's annual electricity demand would be 530,000 GWh at the year 2023. Considering current energy market dynamics it is almost evident that a substantial amount of this demand would be supplied from natural gas. However, meticulous analysis of the Vision 2023 goals clearly showed that the information about the natural gas sector is scarce. Most importantly there is no demand forecast for natural gas in the Vision 2023 agenda. Therefore, in this study the aim was to generate accurate forecasts for Turkey's natural gas demand between 2013 and 2030. For this purpose, two semi-empirical models based on econometrics, gross domestic product (GDP) at purchasing power parity (PPP) per capita, and demographics, population change, were developed. The logistic equation, which can be used for long term natural gas demand forecasting, and the linear equation, which can be used for medium term demand forecasting, fitted to the timeline series almost seamlessly. In addition, these two models provided reasonable fits according to the mean absolute percentage error, MAPE %, criteria. Turkey's natural gas demand at the year 2030 was calculated as 76.8 billion m3 using the linear model and 83.8 billion m3 based on the logistic model. Consequently, found to be in better agreement with the official Turkish petroleum pipeline corporation (BOTAS) forecast, 76.4 billion m3, than results published in the literature.

Mehmet Melikoglu

2013-01-01T23:59:59.000Z

204

Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions  

E-Print Network [OSTI]

is the policy where several small loads will be dispatched as a single, combined load. From an inventory-modeling perspec- tive, the integrated inventory-transportation problems add dispatch quantities as decision variables to the stochastic dynamic inventory...): The vendor makes the inventory replen- ishment decisions on how much to order from the outside supplier. 2. Pure Outbound Transportation Models (PO): The collection depot makes the delivery schedules of order dispatches to the buyer(s). 3. Integrated...

Zhang, Liqing

2011-07-01T23:59:59.000Z

205

Transportation Demand This  

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

Transportation Demand Transportation Demand This page inTenTionally lefT blank 75 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation 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 attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight

206

Novel effects of demand side management data on accuracy of electrical energy consumption modeling and long-term forecasting  

Science Journals Connector (OSTI)

Abstract Worldwide implementation of demand side management (DSM) programs has had positive impacts on electrical energy consumption (EEC) and the examination of their effects on long-term forecasting is warranted. The objective of this study is to investigate the effects of historical DSM data on accuracy of EEC modeling and long-term forecasting. To achieve the objective, optimal artificial neural network (ANN) models based on improved particle swarm optimization (IPSO) and shuffled frog-leaping (SFL) algorithms are developed for EEC forecasting. For long-term EEC modeling and forecasting for the U.S. for 2010–2030, two historical data types used in conjunction with developed models include (i) EEC and (ii) socio-economic indicators, namely, gross domestic product, energy imports, energy exports, and population for 1967–2009 period. Simulation results from IPSO-ANN and SFL-ANN models show that using socio-economic indicators as input data achieves lower mean absolute percentage error (MAPE) for long-term EEC forecasting, as compared with EEC data. Based on IPSO-ANN, it is found that, for the U.S. EEC long-term forecasting, the addition of DSM data to socio-economic indicators data reduces MAPE by 36% and results in the estimated difference of 3592.8 MBOE (5849.9 TW h) in EEC for 2010–2030.

F.J. Ardakani; M.M. Ardehali

2014-01-01T23:59:59.000Z

207

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

E-Print Network [OSTI]

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

Heiser, Gernot

208

Improvement in fresh fruit and vegetable logistics quality: berry logistics field studies  

Science Journals Connector (OSTI)

...Articles 1003 168 Theme Issue Intelligent food logistics: decrease waste and improve quality by new technologies...Lang Improvement in fresh fruit and vegetable logistics quality: berry logistics field studies M. Cecilia do Nascimento Nunes...

2014-01-01T23:59:59.000Z

209

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

E-Print Network [OSTI]

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

Tufts University

210

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

E-Print Network [OSTI]

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;

Walker, Matthew P.

211

Logistics outsourcing: an examination of third-party providers  

Science Journals Connector (OSTI)

The outsourcing of logistical functions to third-party providers has become an increasingly powerful trend in modern multinational companies. The literature presents several studies on the outsourcing of logistical activities by contractors, the greater proportion of which focus on industrial and service companies. In contrast, there are only a few studies on providers who offer logistical services. A survey of several managers from logistics service providers operating in different industrial sectors and countries was designed in order to accept or reject a set of hypotheses collected from previous studies found in the literature. The database was analysed by applying statistical modelling and inferential analysis, which are based on the Pearson chi-square test, Kruskal-Wallis test and the calculation of exact p-values. Not all results are consistent with previous findings.

Riccardo Manzini; Arrigo Pareschi; Alessandro Persona

2007-01-01T23:59:59.000Z

212

Demands on Intranets — Viable System Model as a Foundation for Intranet Design  

Science Journals Connector (OSTI)

The number of Intranets increases in organizations but their potential to support viability is not fully exploited. The cybernetic model the Viable System Model has not been connected to the Intranet concept before. Characteristics of the VSM such as highlighting the importance of production monitoring of production units through Early Warning Systems autonomy and empowerment are used as patterns and a base for de?signing essential parts and/or functions of an Intranet. The result is a brief description of functions vital to the operational parts of organizations. Examples are Early Warning Systems control systems “gate?keepers ” amplifying and damping information to and from the organization and “agents” supporting search abilities on an Intranet.

Christina Amcoff Nyström

2006-01-01T23:59:59.000Z

213

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

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

4E 4E Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building J.H. Dudley, D. Black, M. Apte, M.A. Piette Lawrence Berkeley National Laboratory P. Berkeley University of California, Berkeley May 2010 Presented at the 2010 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 15-20, 2010, and published in the Proceedings DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information,

214

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

E-Print Network [OSTI]

was calculated to be -8.78oC (Moscow in January) and maximum of 42.9 oC (Abu-Dhabi in August). The hourly values of outdoor air temperature and solar radiation were obtained using Trnsys (Trnsys, 2006) meteonorm files. b) Glazing surface and distribution... the ,,black-box,, function, dynamic simulations were conducted using Trnsys 16 software (Trnsys, 2005). The Trnsys building model, known as, Type 56, is compliant with general requirements of European Directive on the energy performance of buildings...

Catalina, T.; Virgone, J.

2011-01-01T23:59:59.000Z

215

Substitution patterns across alternatives as a source of preference heterogeneity in recreation demand models  

Science Journals Connector (OSTI)

Abstract Recent stated choice studies have shown that, in a context of inter-alternative correlation, individuals can assess alternatives differently. This asymmetry in perception between alternatives with different levels of substitutability becomes one additional, but usually overlooked, source of observed preference heterogeneity. In the context of beach recreation in Mallorca, Spain, this paper extends the investigation on this source of heterogeneity to a revealed preference setting. While the substitution pattern existent across sites is accounted for by means of a nested logit model, nest-specific coefficients are estimated to evaluate the utilities associated with different groups of sites. The results provide empirical evidence to suggest that substitution patterns across alternatives are a statistically significant source of influence on preference heterogeneity leading to different marginal sensitivities for a number of site attributes.

Angel Bujosa Bestard

2014-01-01T23:59:59.000Z

216

Reducing the operational energy demand in buildings using building information modeling tools and sustainability approaches  

Science Journals Connector (OSTI)

Abstract A sustainable building is constructed of materials that could decrease environmental impacts, such as energy usage, during the lifecycle of the building. Building Information Modeling (BIM) has been identified as an effective tool for building performance analysis virtually in the design stage. The main aims of this study were to assess various combinations of materials using BIM and identify alternative, sustainable solutions to reduce operational energy consumption. The amount of energy consumed by a double story bungalow house in Johor, Malaysia, and assessments of alternative material configurations to determine the best energy performance were evaluated by using Revit Architecture 2012 and Autodesk Ecotect Analysis software to show which of the materials helped in reducing the operational energy use of the building to the greatest extent throughout its annual life cycle. At the end, some alternative, sustainable designs in terms of energy savings have been suggested.

Mojtaba Valinejad Shoubi; Masoud Valinejad Shoubi; Ashutosh Bagchi; Azin Shakiba Barough

2014-01-01T23:59:59.000Z

217

Demand Response  

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

Assessment for Eastern Interconnection Youngsun Baek, Stanton W. Hadley, Rocio Martinez, Gbadebo Oladosu, Alexander M. Smith, Fran Li, Paul Leiby and Russell Lee Prepared for FY12 DOE-CERTS Transmission Reliability R&D Internal Program Review September 20, 2012 2 Managed by UT-Battelle for the U.S. Department of Energy DOE National Laboratory Studies Funded to Support FOA 63 * DOE set aside $20 million from transmission funding for national laboratory studies. * DOE identified four areas of interest: 1. Transmission Reliability 2. Demand Side Issues 3. Water and Energy 4. Other Topics * Argonne, NREL, and ORNL support for EIPC/SSC/EISPC and the EISPC Energy Zone is funded through Area 4. * Area 2 covers LBNL and NREL work in WECC and

218

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

219

Fourteenth Annual Freight & Logistics Symposium December 2010  

E-Print Network [OSTI]

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

Minnesota, University of

220

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...

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS 27 data.

222

Reducing food losses by intelligent food logistics  

Science Journals Connector (OSTI)

...1006 62 Theme Issue Intelligent food logistics: decrease waste and improve quality...Reducing food losses by intelligent food logistics Reiner Jedermann 1 Mike Nicometo 2 Ismail...Bremen Research Cluster for Dynamics in Logistics (LogDynamics), Bremen, Germany One...

2014-01-01T23:59:59.000Z

223

International Conference: Humanitarian Logistics: Networks for Africa  

E-Print Network [OSTI]

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

Nagurney, Anna

224

Center for Excellence in Logistics and Distribution  

E-Print Network [OSTI]

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

Noble, James S.

225

Center for Excellence in Logistics and Distribution  

E-Print Network [OSTI]

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

Noble, James S.

226

Planning Organization & Logistics Deputy Director General  

E-Print Network [OSTI]

" 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

Adin, Ron

227

Center for Excellence in Logistics and Distribution  

E-Print Network [OSTI]

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

Noble, James S.

228

While at Paranal Arrival at Reception (Logistics)  

E-Print Network [OSTI]

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

Liske, Jochen

229

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

E-Print Network [OSTI]

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

Fant, C.A.

230

Oxygenate Supply/Demand Balances  

Gasoline and Diesel Fuel Update (EIA)

Oxygenate Supply/Demand Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model By Tancred C.M. Lidderdale This article first appeared in the Short-Term Energy Outlook Annual Supplement 1995, Energy Information Administration, DOE/EIA-0202(95) (Washington, DC, July 1995), pp. 33-42, 83-85. The regression results and historical data for production, inventories, and imports have been updated in this presentation. Contents * Introduction o Table 1. Oxygenate production capacity and demand * Oxygenate demand o Table 2. Estimated RFG demand share - mandated RFG areas, January 1998 * Fuel ethanol supply and demand balance o Table 3. Fuel ethanol annual statistics * MTBE supply and demand balance o Table 4. EIA MTBE annual statistics * Refinery balances

231

Unintended environmental impacts of nighttime freight logistics activities  

E-Print Network [OSTI]

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

Sathaye, Nakul; Harley, Robert; Madanat, Samer

2009-01-01T23:59:59.000Z

232

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

E-Print Network [OSTI]

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

Tarau, Paul

233

Commercial & Industrial Demand Response  

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

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

234

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

235

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

SciTech Connect (OSTI)

Both Federal and California state policymakers areincreasingly interested in developing more standardized and consistentapproaches to estimate and verify the load impacts of demand responseprograms and dynamic pricing tariffs. This study describes a statisticalanalysis of the performance of different models used to calculate thebaseline electric load for commercial buildings participating in ademand-response (DR) program, with emphasis onthe importance of weathereffects. During a DR event, a variety of adjustments may be made tobuilding operation, with the goal of reducing the building peak electricload. In order to determine the actual peak load reduction, an estimateof what the load would have been on the day of the event without any DRactions is needed. This baseline load profile (BLP) is key to accuratelyassessing the load impacts from event-based DR programs and may alsoimpact payment settlements for certain types of DR programs. We testedseven baseline models on a sample of 33 buildings located in California.These models can be loosely categorized into two groups: (1) averagingmethods, which use some linear combination of hourly load values fromprevious days to predict the load on the event, and (2) explicit weathermodels, which use a formula based on local hourly temperature to predictthe load. The models were tested both with and without morningadjustments, which use data from the day of the event to adjust theestimated BLP up or down.Key findings from this study are: - The accuracyof the BLP model currently used by California utilities to estimate loadreductions in several DR programs (i.e., hourly usage in highest 3 out of10 previous days) could be improved substantially if a morning adjustmentfactor were applied for weather-sensitive commercial and institutionalbuildings. - Applying a morning adjustment factor significantly reducesthe bias and improves the accuracy of all BLP models examined in oursample of buildings. - For buildings with low load variability, all BLPmodels perform reasonably well in accuracy. - For customer accounts withhighly variable loads, we found that no BLP model produced satisfactoryresults, although averaging methods perform best in accuracy (but notbias). These types of customers are difficult to characterize withstandard BLP models that rely on historic loads and weather data.Implications of these results for DR program administrators andpolicymakersare: - Most DR programs apply similar DR BLP methods tocommercial and industrial sector customers. The results of our study whencombined with other recent studies (Quantum 2004 and 2006, Buege et al.,2006) suggests that DR program administrators should have flexibility andmultiple options for suggesting the most appropriate BLP method forspecific types of customers.

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

2008-01-01T23:59:59.000Z

236

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

237

Logistics cost analysis of rice residues for second generation bioenergy production in Ghana  

Science Journals Connector (OSTI)

Abstract This study explores the techno-economic potential of rice residues as a bioenergy resource to meet Ghana’s energy demands. Major rice growing regions of Ghana have 70–90% of residues available for bioenergy production. To ensure cost-effective biomass logistics, a thorough cost analysis was made for two bioenergy routes. Logistics costs for a 5 MWe straw combustion plant were 39.01, 47.52 and 47.89 USD/t for Northern, Ashanti and Volta regions respectively. Logistics cost for a 0.25 MWe husk gasification plant (with roundtrip distance 10 km) was 2.64 USD/t in all regions. Capital cost (66–72%) contributes significantly to total logistics costs of straw, however for husk logistics, staff (40%) and operation and maintenance costs (46%) dominate. Baling is the major processing logistic cost for straw, contributing to 46–48% of total costs. Scale of straw unit does not have a large impact on logistic costs. Transport distance of husks has considerable impact on logistic costs.

Pooja Vijay Ramamurthi; Maria Cristina Fernandes; Per Sieverts Nielsen; Clemente Pedro Nunes

2014-01-01T23:59:59.000Z

238

Modelling transport fuel demand  

Science Journals Connector (OSTI)

Transport fuels account for an increasing share of oil ... interest to study the economics of the transport fuel market and thereby to evaluate the efficiency of the price mechanism as an instrument of policy in ...

Thomas Sterner; Carol A. Dahl

1992-01-01T23:59:59.000Z

239

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

E-Print Network [OSTI]

The Future of Global Logistics #12;The Future of Global Logistics Future of Global Logistics · Introduction Chain #12;The Future of Global Logistics Introduction #12;The Future of Global Logistics Historical Milestones In Conceptualization Shifts in Logistical Thinking · Transportation Efficiency 3000BC · Total Cost

Lin, Xiaodong

240

Toward Novel Hybrid Biomass, Coal, and Natural Gas Processes for Satisfying Current Transportation Fuel Demands, 1: Process Alternatives, Gasification Modeling, Process Simulation, and Economic Analysis  

Science Journals Connector (OSTI)

Toward Novel Hybrid Biomass, Coal, and Natural Gas Processes for Satisfying Current Transportation Fuel Demands, 1: Process Alternatives, Gasification Modeling, Process Simulation, and Economic Analysis ... This paper, which is the first part of a series of papers, introduces a hybrid coal, biomass, and natural gas to liquids (CBGTL) process that can produce transportation fuels in ratios consistent with current U.S. transportation fuel demands. ... Steady-state process simulation results based on Aspen Plus are presented for the seven process alternatives with a detailed economic analysis performed using the Aspen Process Economic Analyzer and unit cost functions obtained from literature. ...

Richard C. Baliban; Josephine A. Elia; Christodoulos A. Floudas

2010-07-19T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

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]

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

Lee, Chi-Guhn

242

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Module calculates

243

Decentralized demand management for water distribution  

E-Print Network [OSTI]

. Actual Daily Demand for Model 2 . . 26 4 Predicted vs. Actual Peak Hourly Demand for Model 1 27 5 Predicted vs. Actual Peak Hourly Demand for Model 2 28 6 Cumulative Hourly Demand Distribution 7 Bryan Distribution Network 8 Typical Summer Diurnal... locating and controlling water that has not been accounted for. The Ford Meter Box Company (1987) advises the testing and recalibration of existing water meters. Because operating costs in a distribution network can be quite substantial, a significant...

Zabolio, Dow Joseph

2012-06-07T23:59:59.000Z

244

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,...

245

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....

246

DRSG Comments to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges  

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

Comments to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges Comments to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges DRSG- 1 DOE Smart Grid RFI Titled "Addressing Policy and Logistical Challenges to Smart Grid Implementation" Submitted by the Demand Response and Smart Grid Coalition (DRSG) November 1, 2010 DRSG Comments to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges DRSG- 2 I. Definition and Scope 1. What significant policy challenges are likely to remain unaddressed if we employ Title XIII's definition? In light of the fact that smart grid deployments are moving forward with pace and at scale, DRSG advises the DOE against seeking to redefine the term "smart grid" as a semantic exercise, as such an effort would introduce delay, generate uncertainty, and likely prove

247

Towards automation of low standardized logistic processes by use of cyber physical robotic systems (CPRS)  

Science Journals Connector (OSTI)

Global logistics networks have an increasing demand for handling of general cargo. Particularly, huband-spoke networks requires a lot of handling actions in order to realize benefits in comparison to point-to-point networks. The use of automation technologies ... Keywords: cooperative robotics, cyber physical systems, human computer interaction, human machine interface, industrial robots, virtual reality

Bernd Scholz-Reiter; Moritz Rohde; Stefan Kunaschk; Michael Lütjen

2011-11-01T23:59:59.000Z

248

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

SciTech Connect (OSTI)

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

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

1992-08-01T23:59:59.000Z

249

Improvement in fresh fruit and vegetable logistics quality: berry logistics field studies  

Science Journals Connector (OSTI)

...environment compiled and edited by Paul Tucker and James DeBonis Improvement in fresh fruit and vegetable logistics quality: berry logistics field studies M. Cecilia do Nascimento Nunes 1 Mike Nicometo 3 Jean Pierre Emond 4 Ricardo Badia Melis...

2014-01-01T23:59:59.000Z

250

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

E-Print Network [OSTI]

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

Erera, Alan

251

Factors Influencing Readiness towards Halal Logistics among Food-based Logistics Players in Malaysia  

Science Journals Connector (OSTI)

Abstract Logistics is part of supply chain which involves many business entities such as suppliers, manufacturers, distributors and retailers. All these entities will work together to acquire raw materials and transform them into final products. Halal logistics is an approach to avoid contamination of perishable, raw materials and food products during transportation or distribution activities. It is also to avoid products missed information and to ensure that Muslim consumers will receive and consume only the Halalan Toyibban products. In Malaysian Standard for Halal Logistics (MS 2400:2010), halal logistics requirements according to Shariah law are including the requirement of logistics providers for transportation, warehousing and retailing. The requirement usually involved from processing to handling, distribution, storage, display, serving, packaging and labeling. There are few concerns regarding the implementation of halal logistics among logistics players. First, there is concern whether these players follow all guidelines and standards for halal logistics. Second, there is concern whether these players segregate their workers and facilities in producing and distributing activities for halal and non-halal products. This study seeks to investigate factors that influence readiness towards halal logistics among food-based logistics players. Face-to-face interviews were carried out with 156 managers representing logistics companies located in Peninsular Malaysia. Factor analysis was carried out to analyze the data obtained from the managers. The results revealed that support from management, enforcement of Halal Assurance System (HAS), environments controls, employee acceptance and company vision to change were the factors that influenced readiness towards halal logistics.

Hazwani Ahmad Tarmizi; Nitty Hirawaty Kamarulzaman; Ismail Abd Latiff; Azmawani Abd Rahman

2014-01-01T23:59:59.000Z

252

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

253

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

4 4 The commercial module forecasts consumption by fuel 15 at the Census division level using prices from the NEMS energy supply modules, and macroeconomic variables from the NEMS Macroeconomic Activity Module (MAM), as well as external data sources (technology characterizations, for example). Energy demands are forecast for ten end-use services 16 for eleven building categories 17 in each of the nine Census divisions (see Figure 5). The model begins by developing forecasts of floorspace for the 99 building category and Census division combinations. Next, the ten end-use service demands required for the projected floorspace are developed. The electricity generation and water and space heating supplied by distributed generation and combined heat and power technologies are projected. Technologies are then

254

Advanced Demand Responsive Lighting  

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

Demand Demand Responsive Lighting Host: Francis Rubinstein Demand Response Research Center Technical Advisory Group Meeting August 31, 2007 10:30 AM - Noon Meeting Agenda * Introductions (10 minutes) * Main Presentation (~ 1 hour) * Questions, comments from panel (15 minutes) Project History * Lighting Scoping Study (completed January 2007) - Identified potential for energy and demand savings using demand responsive lighting systems - Importance of dimming - New wireless controls technologies * Advanced Demand Responsive Lighting (commenced March 2007) Objectives * Provide up-to-date information on the reliability, predictability of dimmable lighting as a demand resource under realistic operating load conditions * Identify potential negative impacts of DR lighting on lighting quality Potential of Demand Responsive Lighting Control

255

Trust, control and confidence in logistics outsourcing decisions  

Science Journals Connector (OSTI)

A number of theoretical constructs and models exist for framing logistics outsourcing decisions. In transaction cost economics, it is argued that the dimensions of transactions, notably asset specificity, are the main criteria to consider in outsourcing situations. Resource-based approaches focus on the company's assets and capabilities that should be protected and developed while non-core activities should be outsourced. Behaviourally oriented theories explore the human and social factors facilitating outsourcing decisions. In this paper, the model of Das and Teng (1998) is used to examine the role of trust and control as facilitators creating confidence in outsourcing when relationship specific investments are present in the outsourcing relationship. A conceptual model is developed and tested with structural equation modelling using survey data from Finnish industrial companies. The results show that confidence is positively associated with the propensity to outsource logistics when the outsourcing relationship is disposed to specific investments.

Jari Juga; Jouni Juntunen

2011-01-01T23:59:59.000Z

256

Demand and Price Outlook for Phase 2 Reformulated Gasoline, 2000  

Gasoline and Diesel Fuel Update (EIA)

Demand and Price Outlook for Demand and Price Outlook for Phase 2 Reformulated Gasoline, 2000 Tancred Lidderdale and Aileen Bohn (1) Contents * Summary * Introduction * Reformulated Gasoline Demand * Oxygenate Demand * Logistics o Interstate Movements and Storage o Local Distribution o Phase 2 RFG Logistics o Possible Opt-Ins to the RFG Program o State Low Sulfur, Low RVP Gasoline Initiatives o NAAQS o Tier 2 Gasoline * RFG Production Options o Toxic Air Pollutants (TAP) Reduction o Nitrogen Oxides (NOx) Reduction o Volatile Organic Compounds (VOC) Reduction o Summary of RFG Production Options * Costs of Reformulated Gasoline o Phase 1 RFG Price Premium o California Clean Gasoline Price Premium o Phase 2 RFG Price Premium o Reduced Fuel Economy

257

Institute of Operations Research Discrete Optimization and Logistics  

E-Print Network [OSTI]

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

Al Hanbali, Ahmad

258

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network [OSTI]

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

Shen, Bo

2013-01-01T23:59:59.000Z

259

building demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

260

IS URBAN LOGISTICS POOLING VIABLE? A MULTISTAKEHOLDER MULTICRITERIA ANALYSIS  

E-Print Network [OSTI]

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

Boyer, Edmond

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

THE INSTITUTE OF TRANSPORT AND LOGISTICS STUDIES (ITLS)  

E-Print Network [OSTI]

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

Viglas, Anastasios

262

Towards Better Approaches To Decision Support in Logistics Problems  

E-Print Network [OSTI]

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

Davidson, Ian

263

Demand Response Valuation Frameworks Paper  

E-Print Network [OSTI]

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

Heffner, Grayson

2010-01-01T23:59:59.000Z

264

Felton Bay Logistics, LLC | Open Energy Information  

Open Energy Info (EERE)

Felton Bay Logistics, LLC Felton Bay Logistics, LLC Jump to: navigation, search Logo: Felton Bay Logistics, LLC Name Felton Bay Logistics, LLC Place San Diego Zip 92115 Sector Services Product Strategies for Sustainability Year founded 2010 Number of employees 1-10 Website http://www.feltonbay.com Coordinates 32.7612759°, -117.0735241° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.7612759,"lon":-117.0735241,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

265

Logistical Multicast for Data Distribution linkbordercolor  

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

Logistical Logistical Multicast for Data Distribution Jason Zurawski, Martin Swany Micah Beck, Ying Ding Department of Computer and Information Sciences Department of Computer Science University of Delaware, Newark, DE 19716 University of Tennessee, Knoxville, TN 37996 {zurawski, swany}@cis.udel.edu {mbeck, ying}@cs.utk.edu Abstract This paper describes a simple scheduling procedure for use in multicast data distribution within a logistical networking infrastructure. The goal of our scheduler is to generate a distribution schedule that will exploit the best network paths by using historic network perfor- mance information. A "spanning tree" is constructed between available logistical depots to help reduce the overall time of data movement. Our hypothesis is that we can generate appropri- ate schedules from historical network measurements. In order to evaluate

266

Intelligent supply chain by using prognostic logistics  

Science Journals Connector (OSTI)

The use of technological tools in logistics is intended to increase visibility, capacity and control in the supply chain. Decrease of uncertainties due to asymmetric data has been the constant challenge of management. Misdiagnosis of situations and equipment, inaccurate production planning, shrinkage and counterfeiting are some of the consequences of erroneous information. The idea of prognostic logistics is to use real time information and an intelligent system to diagnose and predict early failures and hazardous situations. The automatic capture of information in prognostic logistics has the intent to reduce human errors. Automatic identification technologies enable the creation of a prognostic logistic network where real time information is used to make accurate forecasting, pushing a proactive supply chain instead of a reactive one.

Adriana M. Lopez De La Cruz; Hans P.M. Veeke; Gabriel Lodewijks

2007-01-01T23:59:59.000Z

267

Cargo revenue management for space logistics  

E-Print Network [OSTI]

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 ...

Armar, Nii A

2009-01-01T23:59:59.000Z

268

The Ecological Performance of Jit Logistics  

Science Journals Connector (OSTI)

JIT logistics is widely accepted through most large national and international industries. As distances and volumes of JIT transportation grow more and more on the one hand and the vehicle load decreases on the o...

Joachim Reese

1994-01-01T23:59:59.000Z

269

International Oil Supplies and Demands  

SciTech Connect (OSTI)

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.

Not Available

1991-09-01T23:59:59.000Z

270

International Oil Supplies and Demands  

SciTech Connect (OSTI)

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.

Not Available

1992-04-01T23:59:59.000Z

271

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...

272

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:...

273

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

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

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

274

Feedstock Supply and Logistics: Biomass as a Commodity | Department...  

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

Feedstock Supply and Logistics: Biomass as a Commodity Feedstock Supply and Logistics: Biomass as a Commodity The growing U.S. bioindustry is poised to convert domestic biomass...

275

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

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

High Level Overview of DOE Biomass Logistics II Project Activities High Level Overview of DOE Biomass Logistics II Project Activities Breakout Session 1B-Integration of Supply...

276

Flexible management of logistics in response to turbulent oil prices: case of a European paint producer  

Science Journals Connector (OSTI)

How can flexible logistics improve performance in a turbulent world when volatile customer demand and rising oil prices require responsive operations? This paper seeks an answer for this question in the field of control management in J.W. Ostendorf, a European paint company. Until recently logistics had been largely farmed out and paid for as required. It had no or little role in business policy. The new business environment, however, requires that all organisational sectors flow in concert with the corporate objectives. A flexible logistics guided by an independent budgeting based on real costs expectations is offered as a solution. Major changes in information systems is assumed to contribute substantially to this effort.

Hosein Piranfar; Andre Segbert

2006-01-01T23:59:59.000Z

277

Mass Market Demand Response  

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

Mass Market Demand Response Mass Market Demand Response Speaker(s): Karen Herter Date: July 24, 2002 - 12:00pm Location: Bldg. 90 Demand response programs are often quickly and poorly crafted in reaction to an energy crisis and disappear once the crisis subsides, ensuring that the electricity system will be unprepared when the next crisis hits. In this paper, we propose to eliminate the event-driven nature of demand response programs by considering demand responsiveness a component of the utility obligation to serve. As such, demand response can be required as a condition of service, and the offering of demand response rates becomes a requirement of utilities as an element of customer service. Using this foundation, we explore the costs and benefits of a smart thermostat-based demand response system capable of two types of programs: (1) a mandatory,

278

Demand Response Assessment INTRODUCTION  

E-Print Network [OSTI]

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

279

Electricity demand analysis - unconstrained vs constrained scenarios  

Science Journals Connector (OSTI)

In India, the electricity systems are chronically constrained by shortage of both capital and energy resources. These result in rationing and interruptions of supply with a severely disrupted electricity usage pattern. From this background, we try to analyse the demand patterns with and without resource constraints. Accordingly, it is necessary to model appropriately the dynamic nature of electricity demand, which cannot be captured by methods like annual load duration curves. Therefore, we use the concept - Representative Load Curves (RLCs) - to model the temporal and structural variations in demand. As a case study, the electricity system of the state of Karnataka in India is used. Four years demand data, two unconstrained and two constrained, are used and RLCs are developed using multiple discriminant analysis. It is found that these RLCs adequately model the variations in demand and bring out distinctions between unconstrained and constrained demand patterns. The demand analysis attempted here helped to study the differences in demand patterns with and without constraints, and the success of rationing measures in reducing demand levels as well as greatly disrupting the electricity usage patterns. Multifactor ANOVA analyses are performed to find out the statistical significance of the ability of logically obtained factors in explaining overall variations in demand. The results showed that the factors that are taken into consideration accounted for maximum variations in demand at very high significance levels.

P. Balachandra; V. Chandru; M.H. Bala Subrahmanya

2003-01-01T23:59:59.000Z

280

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

E-Print Network [OSTI]

A sustainable urban logistics dashboard from the perspective of a group of logistics managers standpoints. The aim of this paper is to complete existing literature by proposing a sustainable dashboard for evaluating the sustainable performance of urban delivery systems, from the perspective of operational

Boyer, Edmond

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

The Gravity of Annual Freight and Logistics Symposium  

E-Print Network [OSTI]

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

Minnesota, University of

282

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

E-Print Network [OSTI]

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

Tommelein, Iris D.

283

URBAN LOGISTICS BY RAIL AND WATERWAYS IN FRANCE AND JAPAN  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

284

Freedom Energy Logistics | Open Energy Information  

Open Energy Info (EERE)

Logistics Logistics Jump to: navigation, search Name Freedom Energy Logistics Place Manchester, New Hampshire Product Manchester-based energy management company. Coordinates 53.479605°, -2.248818° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":53.479605,"lon":-2.248818,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

285

ASSET LOGISTIC AG | Open Energy Information  

Open Energy Info (EERE)

ASSET LOGISTIC AG ASSET LOGISTIC AG Jump to: navigation, search Name ASSET@LOGISTIC AG Place Hamburg, Hamburg, Germany Zip 20148 Sector Wind energy Product Developer of 3 wind farms in Almeria, Spain Coordinates 53.553345°, 9.992455° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":53.553345,"lon":9.992455,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

286

Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Reynolds Logistics Reynolds Logistics Reduces Fuel Costs With EVs to someone by E-mail Share Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Facebook Tweet about Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Twitter Bookmark Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Google Bookmark Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Delicious Rank Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Digg Find More places to share Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on AddThis.com... July 23, 2011 Reynolds Logistics Reduces Fuel Costs With EVs F ind out how Reynolds Logistics uses electric vehicles to offset petroleum

287

Demand Response-Enabled Model Predictive HVAC Load Control in Buildings using Real-Time Electricity Pricing.  

E-Print Network [OSTI]

??A practical cost and energy efficient model predictive control (MPC) strategy is proposed for HVAC load control under dynamic real-time electricity pricing. The MPC strategy… (more)

Avci, Mesut

2013-01-01T23:59:59.000Z

288

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

E-Print Network [OSTI]

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

Kautz, Henry

289

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

E-Print Network [OSTI]

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

Heller, Barbara

290

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

E-Print Network [OSTI]

Logistics · Green Logistics · Supply Chain Analytics A dissertation is then completed between May - August

Painter, Kevin

291

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

E-Print Network [OSTI]

bounds of error in the bioenerget- MARCH 2012 ics modelanalysis of fish bioenergetics models. Canadian Journal ofDE, Kitchell JF. 1997. Fish bioenergetics 3.0. Madison (WI):

2012-01-01T23:59:59.000Z

292

Pattern formation, logistics, and maximum path probability  

Science Journals Connector (OSTI)

The concept of pattern formation, which to current researchers is a synonym for self-organization, carries the connotation of deductive logic together with the process of spontaneous inference. Defining a pattern as an equivalence relation on a set of thermodynamic objects, we establish that a large class of irreversible pattern-forming systems, evolving along idealized quasisteady paths, approaches the stable steady state as a mapping upon the formal deductive imperatives of a propositional function calculus. In the preamble the classical reversible thermodynamics of composite systems is analyzed as an externally manipulated system of space partitioning and classification based on ideal enclosures and diaphragms. The diaphragms have discrete classificationcapabilities which are designated in relation to conserved quantities by descriptors such as impervious, diathermal, and adiabatic. Differentiability in the continuum thermodynamic calculus is invoked as equivalent to analyticity and consistency in the underlying class or sentential calculus. The seat of inference, however, rests with the thermodynamicist. In the transition to an irreversible pattern-forming system the defined nature of the composite reservoirs remains, but a given diaphragm is replaced by a pattern-forming system which by its nature is a spontaneously evolving volume partitioner and classifier of invariants. The seat of volition or inference for the classification system is thus transferred from the experimenter or theoretician to the diaphragm, and with it the full deductive facility. The equivalence relations or partitions associated with the emerging patterns may thus be associated with theorems of the natural pattern-forming calculus. The entropyfunction, together with its derivatives, is the vehicle which relates the logistics of reservoirs and diaphragms to the analog logistics of the continuum. Maximum path probability or second-order differentiability of the entropy in isolation are sufficiently strong interpretations of the second law of thermodynamics to define the approach to and the nature of patterned stable steady states. For many pattern-forming systems these principles define quantifiable stable states as maxima or minima (or both) in the dissipation. An elementary statistical-mechanical proof is offered. To turn the argument full circle, the transformations of the partitions and classes which are predicated upon such minimax entropic paths can through digital modeling be directly identified with the syntactic and inferential elements of deductive logic. It follows therefore that all self-organizing or pattern-forming systems which possess stable steady states approach these states according to the imperatives of formal logic, the optimum pattern with its rich endowment ofequivalence relations representing the central theorem of the associated calculus. Logic is thus ‘‘the stuff of the universe,’’ and biological evolution with its culmination in the human brain is the most significant example of all the irreversible pattern-forming processes. We thus conclude with a few remarks on the relevance of the contribution to the theory of evolution and to research on artificial intelligence.

J. S. Kirkaldy

1985-05-01T23:59:59.000Z

293

Demand response enabling technology development  

E-Print Network [OSTI]

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

2006-01-01T23:59:59.000Z

294

Demand Response Spinning Reserve Demonstration  

E-Print Network [OSTI]

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

2007-01-01T23:59:59.000Z

295

Cross-sector Demand Response  

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

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

296

Demand Response Programs for Oregon  

E-Print Network [OSTI]

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

297

Demand response enabling technology development  

E-Print Network [OSTI]

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

Arens, Edward; Auslander, David; Huizenga, Charlie

2008-01-01T23:59:59.000Z

298

Automated Demand Response and Commissioning  

E-Print Network [OSTI]

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

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

2005-01-01T23:59:59.000Z

299

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.

300

Energy Demand Forecasting  

Science Journals Connector (OSTI)

This chapter presents alternative approaches used in forecasting energy demand and discusses their pros and cons. It... Chaps. 3 and 4 ...

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Post-seismic supply chain risk management: A system dynamics disruption analysis approach for inventory and logistics planning  

Science Journals Connector (OSTI)

Post-seismic inventory and logistics planning under incomplete and fuzzy information is an important yet understudied area in supply chain risk management. The goal of this paper is to propose a system dynamics model to analyze the behaviors of disrupted ... Keywords: Forecasting method, Inventory and logistics planning, Post-seismic supply chain, Risk management, System dynamics

Min Peng; Yi Peng; Hong Chen

2014-02-01T23:59:59.000Z

302

Electricity Demand and Energy Consumption Management System  

E-Print Network [OSTI]

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...

Sarmiento, Juan Ojeda

2008-01-01T23:59:59.000Z

303

Competitive Technologies, Equipment Vintages and the Demand for Energy  

Science Journals Connector (OSTI)

Macroeconometric modelling of energy demand resorts to two approaches leading to models ... of view. The first approach specifies the demand of a group of consumers for a single form of energy, independent of the...

F. Carlevaro

1988-01-01T23:59:59.000Z

304

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

E-Print Network [OSTI]

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

Povinelli, Richard J.

305

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

E-Print Network [OSTI]

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 ...

Nnadili, Christopher Dozie, 1978-

2009-01-01T23:59:59.000Z

306

C*-algebras associated with reversible extensions of logistic maps  

SciTech Connect (OSTI)

The construction of reversible extensions of dynamical systems presented in a previous paper by the author and A.V. Lebedev is enhanced, so that it applies to arbitrary mappings (not necessarily with open range). It is based on calculating the maximal ideal space of C*-algebras that extends endomorphisms to partial automorphisms via partial isometric representations, and involves a new set of 'parameters' (the role of parameters is played by chosen sets or ideals). As model examples, we give a thorough description of reversible extensions of logistic maps and a classification of systems associated with compression of unitaries generating homeomorphisms of the circle. Bibliography: 34 titles.

Kwasniewski, Bartosz K [Institute of Mathematics, University of Bialystok (Poland)

2012-10-31T23:59:59.000Z

307

Humanitarian Logistics: Empirical Evidences from a Natural Disaster  

Science Journals Connector (OSTI)

Abstract This paper seeks to identify the critical factors that help logistics processes in cases of environmental disasters. We show empirical evidence based on a case study that corroborates the Balcik theoretic model. A qualitative, exploratory research design, as well as thematic content analysis, was used. Eleven interviews were conducted, which were transcribed and triangulated with observations in document reviews. Here, we provide an explanation of the different roles into the chain: suppliers, donors, beneficiaries and distribution center. We find that all links in the chain manifested post-disaster.

Marcia Regina Santiago Scarpin; Renata de Oliveira Silva

2014-01-01T23:59:59.000Z

308

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)

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.

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

309

Feedstock Supply and Logistics:Biomass as a Commodity | Department...  

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

Feedstock Supply and Logistics:Biomass as a Commodity Feedstock Supply and Logistics:Biomass as a Commodity The growing U.S. bioindustry is poised to convert domestic biomass...

310

Comparative Usability Study of Two Space Logistics Analysis Tools  

E-Print Network [OSTI]

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 ...

Lee, Chairwoo

311

Introduction to Aspects of Economics and Logistics [and Discussion  

Science Journals Connector (OSTI)

...research-article Introduction to Aspects of Economics and Logistics [and Discussion] J. Birks G. L. Hargreaves E. G. West...and the division of profits. The increasing importance of logistic and environmental factors on the technological requirements...

1978-01-01T23:59:59.000Z

312

THE FUTURE DEMAND FOR ALTERNATIVE FUEL PASSENGER VEHICLES: A DIFFUSION OF INNOVATION APPROACH  

E-Print Network [OSTI]

.......................................................................................................... 5 2.1 AUTOMOBILE DEMAND MODELS.....................................................................................................................20 2.2.4 The Application of Diffusion Models to Automobile Demand.......................................................................................................................................36 3.1.5 Electric Vehicles

Levinson, David M.

313

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA

314

Improving reverse logistics processes using item-level product life cycle management  

Science Journals Connector (OSTI)

Sustainability is a key issue for companies offering products and services on the global market. The ever-increasing worldwide demand for raw materials in combination with the rising costs for materials and energy challenges companies to make their products, processes and services more sustainable. More and more customers are demanding sustainable products and services due to their increased awareness about environmental protection. By providing access to data, information and knowledge about products and services the concept of product life cycle management (PLM) can be applied to reverse logistics processes to improve sustainability. The term PLM and, therefore, the functionality of existing PLM systems must be considered as quite different. This paper introduces the concept of item-level PLM. It investigates the requirements that item-level PLM systems must fulfil in order to support sustainability in reverse logistics processes in an appropriate manner. Existing item-level PLM solutions are then investigated according to their suitability in the field of reverse logistics.

Carl Hans; Karl A. Hribernik; Klaus-Dieter Thoben

2010-01-01T23:59:59.000Z

315

SCH-MGMT 597LG Humanitarian Logistics Spring 2012  

E-Print Network [OSTI]

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

Nagurney, Anna

316

Cargo Revenue Management for Space Logistics Nii A. Armar  

E-Print Network [OSTI]

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

de Weck, Olivier L.

317

The Value of Lead Logistics Services Oliver Schneider1  

E-Print Network [OSTI]

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

Boyer, Edmond

318

Outsourcing ship management: Implications for the logistics chain  

E-Print Network [OSTI]

EA 4272 Outsourcing ship management: Implications for the logistics chain Pierre Cariou* Francois,version1-17May2011 #12;Outsourcing ship management: Implications for the logistics chain Pierre Cariou implications for the logistics chain. Data on 39,925 vessels are used to investigate to the extent to which 4

Paris-Sud XI, Université de

319

Global Logistics Systems Adapted from an Affiliates seminar  

E-Print Network [OSTI]

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

Brock, David

320

Lean Supply Chain Management Value Stream Mapping & Logistics Costs Tracking  

E-Print Network [OSTI]

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

Dalang, Robert C.

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Towards Better Approaches To Decision Support in Logistics Problems  

E-Print Network [OSTI]

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

Davidson, Ian

322

The Comparative Logistics Project www.ed-w.info  

E-Print Network [OSTI]

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

Brock, David

323

Renowned Logistics Expert to Launch Book at TRANSLOG 2012  

E-Print Network [OSTI]

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

Hitchcock, Adam P.

324

Urban logistics pooling viabililty analysis via a multicriteria multiactor method  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

325

SCH-MGMT 597LG Humanitarian Logistics Spring 2014  

E-Print Network [OSTI]

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

Nagurney, Anna

326

Revision Date 01.11.13 PROCUREMENT SERVICES -LOGISTICS  

E-Print Network [OSTI]

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

Crews, Stephen

327

RTP Customer Demand Response  

Science Journals Connector (OSTI)

This paper provides new evidence on customer demand response to hourly pricing from the largest and...real-time pricing...(RTP) program in the United States. RTP creates value by inducing load reductions at times...

Steven Braithwait; Michael O’Sheasy

2002-01-01T23:59:59.000Z

328

World Energy Demand  

Science Journals Connector (OSTI)

A reliable forecast of energy resources, energy consumption, and population in the future is a ... So, instead of absolute figures about future energy demand and sources worldwide, which would become...3.1 correl...

Giovanni Petrecca

2014-01-01T23:59:59.000Z

329

E-Print Network 3.0 - air force logistics Sample Search Results  

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

: The Department of the Army, Civilian Logistics Career Management Office hires and trains Logistics Management... on commercial and military transport. Position: Logistics...

330

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

E-Print Network [OSTI]

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

Bonacich, Edna; De Lara, Juan David

2009-01-01T23:59:59.000Z

331

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

E-Print Network [OSTI]

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,

Berenguer Falguera, Gemma

2012-01-01T23:59:59.000Z

332

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

333

A robust optimization model for a supply chain under uncertainty  

Science Journals Connector (OSTI)

......2010). Although handling uncertainty is an...interesting framework for handling stochastic logistics...In N numbers) Material Flow Material Flow Fig. 1. A schematic diagram of the logistics...which is capable of handling demand and transportation......

Sara Hosseini; Reza Zanjirani Farahani; Wout Dullaert; Birger Raa; Mohsen Rajabi; Alireza Bolhari

2014-10-01T23:59:59.000Z

334

Changing Energy Demand Behavior: Potential of Demand-Side Management  

Science Journals Connector (OSTI)

There is a great theoretical potential to save resources by managing our demand for energy. However, demand-side management (DSM) programs targeting behavioral patterns of...

Dr. Sylvia Breukers; Dr. Ruth Mourik…

2013-01-01T23:59:59.000Z

335

The Energy Demand Forecasting System of the National Energy Board  

Science Journals Connector (OSTI)

This paper presents the National Energy Board’s long term energy demand forecasting model in its present state of ... results of recent research at the NEB. Energy demand forecasts developed with the aid of this....

R. A. Preece; L. B. Harsanyi; H. M. Webster

1980-01-01T23:59:59.000Z

336

Demand Response Valuation Frameworks Paper  

E-Print Network [OSTI]

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

Heffner, Grayson

2010-01-01T23:59:59.000Z

337

B2B e-business reference architecture for tailored logistics  

Science Journals Connector (OSTI)

Based on a literature review of previous research and case studies, this paper develops a conceptual model that traces and categorises different interorganisation information coordination and control mechanisms in the logistics domain. The conceptual model is referred to as the B2B E-business Reference Architecture (ERA). Studies in system architecture have largely focused on the technical perspective of e-business within an enterprise, with little research on the interorganisation perspective especially in the context of tailored logistics. Via the synthesis of literature, four fundamental architectures, dealing with different logistics scenarios, are proposed and discussed in detail with supporting case examples identified from the literature. This paper concludes by drawing implications for current research as well as highlighting future research opportunities.

Yingli Wang; Mohamed M. Naim

2007-01-01T23:59:59.000Z

338

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

339

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type

340

Logistic curves, extraction costs and effective peak oil  

Science Journals Connector (OSTI)

Debates about the possibility of a near-term maximum in world oil production have become increasingly prominent over the past decade, with the focus often being on the quantification of geologically available and technologically recoverable amounts of oil in the ground. Economically, the important parameter is not a physical limit to resources in the ground, but whether market price signals and costs of extraction will indicate the efficiency of extracting conventional or nonconventional resources as opposed to making substitutions over time for other fuels and technologies. We present a hybrid approach to the peak-oil question with two models in which the use of logistic curves for cumulative production are supplemented with data on projected extraction costs and historical rates of capacity increase. While not denying the presence of large quantities of oil in the ground, even with foresight, rates of production of new nonconventional resources are unlikely to be sufficient to make up for declines in availability of conventional oil. Furthermore we show how the logistic-curve approach helps to naturally explain high oil prices even when there are significant quantities of low-cost oil yet to be extracted.

Robert J. Brecha

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Demand Response In California  

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

Energy Efficiency & Energy Efficiency & Demand Response Programs Dian M. Grueneich, Commissioner Dian M. Grueneich, Commissioner California Public Utilities Commission California Public Utilities Commission FUPWG 2006 Fall Meeting November 2, 2006 Commissioner Dian M. Grueneich November 2, 2006 1 Highest Priority Resource Energy Efficiency is California's highest priority resource to: Meet energy needs in a low cost manner Aggressively reduce GHG emissions November 2, 2006 2 Commissioner Dian M. Grueneich November 2, 2006 3 http://www.cpuc.ca.gov/PUBLISHED/REPORT/51604.htm Commissioner Dian M. Grueneich November 2, 2006 4 Energy Action Plan II Loading order continued "Pursue all cost-effective energy efficiency, first." Strong demand response and advanced metering

342

On Demand Guarantees in Iran.  

E-Print Network [OSTI]

??On Demand Guarantees in Iran This thesis examines on demand guarantees in Iran concentrating on bid bonds and performance guarantees. The main guarantee types and… (more)

Ahvenainen, Laura

2009-01-01T23:59:59.000Z

343

Energy Demand Staff Scientist  

E-Print Network [OSTI]

Energy Demand in China Lynn Price Staff Scientist February 2, 2010 #12;Founded in 1988 Focused on End-Use Energy Efficiency ~ 40 Current Projects in China Collaborations with ~50 Institutions in China Researcher #12;Talk OutlineTalk Outline · Overview · China's energy use and CO2 emission trends · Energy

Eisen, Michael

344

Innovative logistics for the transportation of sand and gravel in Brazil  

Science Journals Connector (OSTI)

The transportation of sand and gravel, which are highly consumed in civil construction, is traditionally hauled on roads and highways. Currently, the growing demand in large metropolitan areas is met by an increasing road fleet, which delivers the aggregates from the origin to construction sites. This paper discusses alternative distribution means for aggregates in Sao Paulo, Brazil, focusing on the cost-reduction opportunities associated with the use of railway and waterway modals. The benefits identified in the research are not merely limited to greater competitiveness due to the reduction of costs in logistics, but also to reducing traffic jams.

A.B. Aguirre; W.T. Hennies; A. Marks

2010-01-01T23:59:59.000Z

345

Using Eurasian landbridge in logistics operations: building knowledge through case studies  

Science Journals Connector (OSTI)

This research concerns about the use of Eurasia as a landbridge for container traffic. We present case study findings concerning European-Asian transportation, and this reveals that the lead time advantage of landbridges (with respect of its costs) would be suitable for a manufacturer, but malfunctioning parts of harbours and railway transports hinder the potential of this alternative. Findings from demanding manufacturing logistics are further verified with a case study concerning a Finnish retailer having increasingly important presence in Russian markets. Retailer used to favour railways (?early part of Eurasian corridor) but has nowadays configured distribution operations to favour road transports.

Per Hilletofth; Harri Lorentz; Ville-Veikko Savolainen; Olli-Pekka Hilmola; Oksana Ivanova

2007-01-01T23:59:59.000Z

346

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

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

Holdings, Inc. Smart Grid RFI: Addressing Policy and Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical Challenges Pepco Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical Challenges 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 information regarding addressing policy and logistical challenges to smart grid implementation. This follows on the heels of PHI's responses to two other DOE RFls on data access and communications requirements. Pepco Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical Challenges More Documents & Publications DC OPC Comments. September 17, 2010 Addressing Policy and Logistical Challenges to smart grid Implementation:

347

Building Energy Software Tools Directory: Demand Response Quick Assessment  

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

Demand Response Quick Assessment Tool Demand Response Quick Assessment Tool Demand response quick assessment tool image The opportunities for demand reduction and cost savings with building demand responsive controls vary tremendously with building type and location. This assessment tool will predict the energy and demand savings, the economic savings, and the thermal comfort impact for various demand responsive strategies. Users of the tool will be asked to enter the basic building information such as types, square footage, building envelope, orientation, utility schedule, etc. The assessment tool will then use the prototypical simulation models to calculate the energy and demand reduction potential under certain demand responsive strategies, such as precooling, zonal temperature set up, and chilled water loop and air loop set points

348

Health Care Demand, Empirical Determinants of  

Science Journals Connector (OSTI)

Abstract Economic theory provides a powerful but incomplete guide to the empirical determinants of health care demand. This article seeks to provide guidance on the selection and interpretation of demand determinants in empirical models. The author begins by introducing some general rules of thumb derived from economic and statistical principles. A brief review of the recent empirical literature next describes the range of current practices. Finally, a representative example of health care demand is developed to illustrate the selection, use, and interpretation of empirical determinants.

S.H. Zuvekas

2014-01-01T23:59:59.000Z

349

An analysis of asymmetric demand response to price changes: The case of local telephone calls  

Science Journals Connector (OSTI)

Asymmetric demand responses to price changes are not an observable ... empirical studies generally support the theory of asymmetric demand responses. We construct a dynamic model based on...

Miles O. Bidwell Jr.; Bruce X. Wang; J. Douglas Zona

1995-11-01T23:59:59.000Z

350

Logistics | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Logistics Logistics Basic Energy Sciences Advisory Committee (BESAC) BESAC Home Meetings Meeting Presentations History Logistics Members Charges/Reports Charter .pdf file (41KB) BES Committees of Visitors BES Home Meetings Logistics Print Text Size: A A A RSS Feeds FeedbackShare Page Transportation Airport Directions and Services Ronald Reagan (National) Airport External link Baltimore-Washington International Airport (BWI) External link Dulles International Airport (Dulles) External link Ground Transportation Ronald Reagan (National) Airport External link Baltimore-Washington International Airport (BWI) External link Dulles International Airport (Dulles) External link Hotel North Bethesda Marriott and Conference Center External link 5701 Marinelli Road North Bethesda, MD 20852 Phone: 1-301-822-9200

351

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...

352

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...

353

High Level Overview of DOE Biomass Logistics II Project Activities  

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

High Level Overview of DOE Biomass Logistics II Project Activities Biomass 2014: Growing the Future Bioeconomy Washington, DC July 29, 2014 Presented By: Kevin Comer, Associate...

354

EnerNOC Inc. Commercial & Industrial Demand Response  

E-Print Network [OSTI]

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

355

Study on the Growth Strategy to Become a Global Logistics Company, through the Expansion of the Domestic Logistics Companies in China  

Science Journals Connector (OSTI)

Opening the era of competition between the very large logistics companies, and domestic logistics industry has seen many changes. It also ... technical know-how is second comparison of global logistics companies ...

Hyunwoo Kim; Chulung Lee

2014-01-01T23:59:59.000Z

356

Investigation of rolling horizon flexibility contracts in a supply chain under highly variable stochastic demand  

Science Journals Connector (OSTI)

......research-article Articles Demand Forecasting for Inventory Management Investigation of rolling...variable stochastic demand Patrick M. Walsh Peter...and supplier (CM) side of the RHF contract...the stochastic market demand. 3. Model description......

Patrick M. Walsh; Peter A. Williams; Cathal Heavey

2008-04-01T23:59:59.000Z

357

Supply Chain and Logistics for the Present Day Business  

Science Journals Connector (OSTI)

Abstract We are living in an era of competition which is increasing day by day. Transportation comprises of key area where logistics companies can truly differentiate themselves and prove with, reduce costs, and build real competitive advantage. Logistics outsourcing can offer business men with measurable cost and efficiency advantages, yet often overlooked as a viable option due to the inherent difficulties in implementing the practice in a manageable, consistent manner. Third-party logistics (3PL) providers tend to apply the same approach to businesses of every type, oblivious to the unique needs – and opportunities – present in specific customer scenarios. Logistics have existed since ancient time but not be called so where invention of wheel was a starting point of logistics which allowed people to move raw material as well as finished goods. Population began moving from rural to urban areas and to business centres. No longer did people live near production centres, the concept of starting business near to the raw material availability location was replaced due to the comfort of shifting the required material from one place to another with the help of research done on the logistics related problems, nor did production take place near residence centres. The geographical distance between the point of manufacturing and point of consumption increased,this is how logistics gained importance. The present paper tries to highlight the importance of logistics in the present day business development. Here the author gives a briefing about the present logistics position in India and also the problems/hurdles for the slow growth of Indian logistics system. The author also want to highlight the scope of logistics in Indian business and how it can cope for better business development with other developed nations all over the globe.

B. Neeraja; Mita Mehta; Arti Chandani

2014-01-01T23:59:59.000Z

358

Aviation fuel demand development in China  

Science Journals Connector (OSTI)

Abstract This paper analyzes the core factors and the impact path of aviation fuel demand in China and conducts a structural decomposition analysis of the aviation fuel cost changes and increase of the main aviation enterprises’ business profits. Through the establishment of an integrated forecast model for China’s aviation fuel demand, this paper confirms that the significant rise in China’s aviation fuel demand because of increasing air services demand is more than offset by higher aviation fuel efficiency. There are few studies which use a predictive method to decompose, estimate and analyze future aviation fuel demand. Based on a structural decomposition with indirect prediction, aviation fuel demand is decomposed into efficiency and total amount (aviation fuel efficiency and air transport total turnover). The core influencing factors for these two indexes are selected using path analysis. Then, univariate and multivariate models (ETS/ARIMA model and Bayesian multivariate regression) are used to analyze and predict both aviation fuel efficiency and air transport total turnover. At last, by integrating results, future aviation fuel demand is forecast. The results show that the aviation fuel efficiency goes up by 0.8% as the passenger load factor increases 1%; the air transport total turnover goes up by 3.8% and 0.4% as the urbanization rate and the per capita GDP increase 1%, respectively. By the end of 2015, China’s aviation fuel demand will have increased to 28 million tonnes, and is expected to be 50 million tonnes by 2020. With this in mind, increases in the main aviation enterprises’ business profits must be achieved through the further promotion of air transport.

Jian Chai; Zhong-Yu Zhang; Shou-Yang Wang; Kin Keung Lai; John Liu

2014-01-01T23:59:59.000Z

359

International Oil Supplies and Demands. Volume 1  

SciTech Connect (OSTI)

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.

Not Available

1991-09-01T23:59:59.000Z

360

Energy demand simulation for East European countries  

Science Journals Connector (OSTI)

The analysis and created statistical models of energy consumption tendencies in the European Union (EU25), including new countries in transition, are presented. The EU15 market economy countries and countries in transition are classified into six clusters by relative indicators of Gross Domestic Product (GDP/P) and energy demand (W/P) per capita. The specified statistical models of energy intensity W/GDP non-linear stochastic tendencies have been discovered with respect to the clusters of classified countries. The new energy demand simulation models have been developed for the demand management in timeâ??territory hierarchy in various scenarios of short-term and long-term perspective on the basis of comparative analysis methodology. The non-linear statistical models were modified to GDP, W/P and electricity (E/P) final consumption long-term forecasts for new associated East European countries and, as an example, for the Baltic Countries, including Lithuania.

Jonas Algirdas Kugelevicius; Algirdas Kuprys; Jonas Kugelevicius

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

International Oil Supplies and Demands. Volume 2  

SciTech Connect (OSTI)

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.

Not Available

1992-04-01T23:59:59.000Z

362

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)

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.

NONE

1995-04-01T23:59:59.000Z

363

Fraunhofer Project Group in Transport and Logistics at NICTA  

E-Print Network [OSTI]

in Transport and Logistics · Further enhances Australia's position in the global innovation system. The NICTAFraunhofer Project Group in Transport and Logistics at NICTA NICTA and the Fraunhofer Institute for Experimental Software Engineering (IESE) have established the Fraunhofer Project Group on Transport

Heiser, Gernot

364

Assessing the Impact of RFID on Return Center Logistics  

Science Journals Connector (OSTI)

As many manufacturers, retailers, distributors, and logistics firms adopt RFID, the technology is becoming pervasive in the supply chain. Although its advocates include retail giants such as Wal-Mart, not all companies are enthusiastic about its benefits. ... Keywords: RFID, business value, process-level analysis, reverse logistics, supply chain

Nishtha Langer; Chris Forman; Sunder Kekre; Alan Scheller-Wolf

2007-11-01T23:59:59.000Z

365

Demand Controlled Ventilation and Classroom Ventilation  

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

3 3 Authors Fisk, William J., Mark J. Mendell, Molly Davies, Ekaterina Eliseeva, David Faulkner, Tienzen Hong, and Douglas P. Sullivan Publisher Lawrence Berkeley National Laboratory City Berkeley Keywords absence, building s, carbon dioxide, demand - controlled ventilation, energy, indoor air quality, schools, ventilation Abstract 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: ï‚· 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). ï‚· Multi-location carbon dioxide measurement systems with more expensive sensors connected to multi-location sampling systems may measure carbon dioxide more accurately.

366

Software demonstration: Demand Response Quick Assessment Tool  

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

Software demonstration: Demand Response Quick Assessment Tool Software demonstration: Demand Response Quick Assessment Tool Speaker(s): Peng Xu Date: February 4, 2008 - 12:00pm Location: 90-3122 The potential for utilizing building thermal mass for load shifting and peak demand reduction has been demonstrated in a number of simulation, laboratory, and field studies. The Demand Response Quick Assessment Tools developed at LBNL will be demonstrated. The tool is built on EnergyPlus simulation and is able to evaluate and compare different DR strategies, such as global temperature reset, chiller cycling, supply air temperature reset, etc. A separate EnergyPlus plotting tool will also be demonstrated during this seminar. Users can use the tool to test EnergyPlus models, conduct parametric analysis, or compare multiple EnergyPlus simulation

367

Sustainable Logistics Website | Open Energy Information  

Open Energy Info (EERE)

Sustainable Logistics Website Sustainable Logistics Website Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Sustainable Logistics Website Focus Area: Clean Transportation Topics: Best Practices Website: www.duurzamelogistiek.nl/ Equivalent URI: cleanenergysolutions.org/content/sustainable-logistics-website Language: "English,Dutch" is not in the list of possible values (Abkhazian, Achinese, Acoli, Adangme, Adyghe; Adygei, Afar, Afrihili, Afrikaans, Afro-Asiatic languages, Ainu, Akan, Akkadian, Albanian, Aleut, Algonquian languages, Altaic languages, Amharic, Angika, Apache languages, Arabic, Aragonese, Arapaho, Arawak, Armenian, Aromanian; Arumanian; Macedo-Romanian, Artificial languages, Assamese, Asturian; Bable; Leonese; Asturleonese, Athapascan languages, Australian languages, Austronesian languages, Avaric, Avestan, Awadhi, Aymara, Azerbaijani, Balinese, Baltic languages, Baluchi, Bambara, Bamileke languages, Banda languages, Bantu (Other), Basa, Bashkir, Basque, Batak languages, Beja; 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Pilipino, Finnish, Finno-Ugrian languages, Fon, French, Friulian, Fulah, Ga, Gaelic; Scottish Gaelic, Galibi Carib, Galician, Ganda, Gayo, Gbaya, Geez, Georgian, German, Germanic languages, Gilbertese, Gondi, Gorontalo, Gothic, Grebo, Greek, Modern, Guarani, Gujarati, Gwich'in, Haida, Haitian; Haitian Creole, Hausa, Hawaiian, Hebrew, Herero, Hiligaynon, Himachali languages; Western Pahari languages, Hindi, Hiri Motu, Hittite, Hmong; Mong, Hungarian, Hupa, Iban, Icelandic, Ido, Igbo, Ijo languages, Iloko, Inari Sami, Indic languages, Indo-European languages, Indonesian, Ingush, Interlingue; Occidental, Inuktitut, Inupiaq, Iranian languages, Irish, Iroquoian languages, Italian, Japanese, Javanese, Judeo-Arabic, Judeo-Persian, Kabardian, Kabyle, Kachin; Jingpho, Kalaallisut; Greenlandic, Kalmyk; Oirat, Kamba, Kannada, Kanuri, Kara-Kalpak, Karachay-Balkar, Karelian, Karen languages, Kashmiri, Kashubian, Kawi, Kazakh, Khasi, Khoisan languages, Khotanese; Sakan, Kikuyu; Gikuyu, Kimbundu, Kinyarwanda, Kirghiz; Kyrgyz, Klingon; tlhIngan-Hol, Komi, Kongo, Konkani, Korean, Kosraean, Kpelle, Kru languages, Kuanyama; Kwanyama, Kumyk, Kurdish, Kurukh, Kutenai, Ladino, Lahnda, Lamba, Land Dayak languages, Lao, Latin, Latvian, Lezghian, Limburgan; Limburger; Limburgish, Lingala, Lithuanian, Lojban, Lower Sorbian, Lozi, Luba-Katanga, Luba-Lulua, Luiseno, Lule Sami, Lunda, Luo (Kenya and Tanzania), Lushai, Luxembourgish; Letzeburgesch, Macedonian, Madurese, Magahi, Maithili, Makasar, Malagasy, Malay, Malayalam, Maltese, Manchu, Mandar, Mandingo, Manipuri, Manobo languages, Manx, Maori, Mapudungun; Mapuche, Marathi, Mari, Marshallese, Marwari, Masai, Mayan languages, Mende, Mi'kmaq; Micmac, Minangkabau, Mirandese, Mohawk, Moksha, Mon-Khmer languages, Mongo, Mongolian, Mossi, Multiple languages, Munda languages, N'Ko, Nahuatl languages, Nauru, Navajo; Navaho, Ndebele, North; North Ndebele, Ndebele, South; South Ndebele, Ndonga, Neapolitan, Nepal Bhasa; Newari, Nepali, Nias, Niger-Kordofanian languages, Nilo-Saharan languages, Niuean, North American Indian languages, Northern Frisian, Northern Sami, Norwegian, Nubian languages, Nyamwezi, Nyankole, Nyoro, Nzima, Occitan (post 1500); Provençal, Ojibwa, Oriya, Oromo, Osage, Ossetian; Ossetic, Otomian languages, Pahlavi, Palauan, Pali, Pampanga; Kapampangan, Pangasinan, Panjabi; Punjabi, Papiamento, Papuan languages, Pedi; Sepedi; Northern Sotho, Persian, Philippine languages, Phoenician, Pohnpeian, Polish, Portuguese, Prakrit languages, Pushto; Pashto, Quechua, Rajasthani, Rapanui, Rarotongan; Cook Islands Maori, Romance languages, Romanian; Moldavian; Moldovan, Romansh, Romany, Rundi, Russian, Salishan languages, Samaritan Aramaic, Sami languages, Samoan, Sandawe, Sango, Sanskrit, Santali, Sardinian, Sasak, Scots, Selkup, Semitic languages, Serbian, Serer, Shan, Shona, Sichuan Yi; Nuosu, Sicilian, Sidamo, Sign Languages, Siksika, Sindhi, Sinhala; Sinhalese, Sino-Tibetan languages, Siouan languages, Skolt Sami, Slave (Athapascan), Slavic languages, Slovak, Slovenian, Sogdian, Somali, Songhai languages, Soninke, Sorbian languages, Sotho, Southern, South American Indian (Other), Southern Altai, Southern Sami, Spanish; Castilian, Sranan Tongo, Sukuma, Sumerian, Sundanese, Susu, Swahili, Swati, Swedish, Swiss German; Alemannic; Alsatian, Syriac, Tagalog, Tahitian, Tai languages, Tajik, Tamashek, Tamil, Tatar, Telugu, Tereno, Tetum, Thai, Tibetan, Tigre, Tigrinya, Timne, Tiv, Tlingit, Tok Pisin, Tokelau, Tonga (Nyasa), Tonga (Tonga Islands), Tsimshian, Tsonga, Tswana, Tumbuka, Tupi languages, Turkish, Turkmen, Tuvalu, Tuvinian, Twi, Udmurt, Ugaritic, Uighur; Uyghur, Ukrainian, Umbundu, Uncoded languages, Undetermined, Upper Sorbian, Urdu, Uzbek, Vai, Venda, Vietnamese, Volapük, Votic, Wakashan languages, Walamo, Walloon, Waray, Washo, Welsh, Western Frisian, Wolof, Xhosa, Yakut, Yao, Yapese, Yiddish, Yoruba, Yupik languages, Zande languages, Zapotec, Zaza; Dimili; Dimli; Kirdki; Kirmanjki; Zazaki, Zenaga, Zhuang; Chuang, Zulu, Zuni) for this property.

368

Source Recertification, Refurbishment, and Transfer Logistics  

SciTech Connect (OSTI)

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.

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

2013-09-01T23:59:59.000Z

369

Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of  

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

Smart Grid RFI: Addressing Policy and Logistical Challenges. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. The Alliance to Save Energy is a coalition of prominent business, government, environmental, and consumer leaders who promote the efficient use of energy worldwide to benefit consumers, the environment, economy, and national security. The Alliance to Save Energy (the Alliance) thanks the Department of Energy for the opportunity to comment on broad issues of policy and logistical challenges faced in smart grid implementation. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. More Documents & Publications

370

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 Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges. Southern recognizes that many policy and logistical concerns must be addressed for the promises of smart grid technologies and applications to be fully realized in ways that are beneficial, secure, and cost-effective lor utility customers. Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges More Documents & Publications Re: DOE Request for Information - Implementing the National Broadband Plan by Studying the Communications Requirements of Electric Utilities to Inform Federal Smart Grid Policy

371

Demand Response | Department of Energy  

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

Demand Response Demand Response Demand Response Demand Response Demand response provides an opportunity for consumers to play a significant role in the operation of the electric grid by reducing or shifting their electricity usage during peak periods in response to time-based rates or other forms of financial incentives. Demand response programs are being used by electric system planners and operators as resource options for balancing supply and demand. Such programs can lower the cost of electricity in wholesale markets, and in turn, lead to lower retail rates. Methods of engaging customers in demand response efforts include offering time-based rates such as time-of-use pricing, critical peak pricing, variable peak pricing, real time pricing, and critical peak rebates. It also includes direct load control programs which provide the

372

Understanding and Analysing Energy Demand  

Science Journals Connector (OSTI)

This chapter introduces the concept of energy demand using basic micro-economics and presents the three-stage decision making process of energy demand. It then provides a set of simple ... (such as price and inco...

Subhes C. Bhattacharyya

2011-01-01T23:59:59.000Z

373

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

E-Print Network [OSTI]

, 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

Boyer, Edmond

374

Demand Response: Load Management Programs  

E-Print Network [OSTI]

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...

Simon, J.

2012-01-01T23:59:59.000Z

375

Marketing Demand-Side Management  

E-Print Network [OSTI]

they the only game in town, enjoying a captive market. Demand-side management (DSM) again surfaced as a method for increasing customer value and meeting these competitive challenges. In designing and implementing demand-side management (DSM) programs we... have learned a great deal about what it takes to market and sell DSM. This paper focuses on how to successfully market demand-side management. KEY STEPS TO MARKETING DEMAND-SIDE MANAGEMENT Management Commitment The first key element in marketing...

O'Neill, M. L.

1988-01-01T23:59:59.000Z

376

Demand Charges | Open Energy Information  

Open Energy Info (EERE)

Charges Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleDemandCharges&oldid488967"...

377

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

378

ERCOT Demand Response Paul Wattles  

E-Print Network [OSTI]

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

Mohsenian-Rad, Hamed

379

Pricing data center demand response  

Science Journals Connector (OSTI)

Demand response is crucial for the incorporation of renewable energy into the grid. In this paper, we focus on a particularly promising industry for demand response: data centers. We use simulations to show that, not only are data centers large loads, ... Keywords: data center, demand response, power network, prediction based pricing

Zhenhua Liu; Iris Liu; Steven Low; Adam Wierman

2014-06-01T23:59:59.000Z

380

Ethanol Demand in United States Gasoline Production  

SciTech Connect (OSTI)

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.

Hadder, G.R.

1998-11-24T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Overview of Demand Response  

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

08 PJM 08 PJM www.pjm.com ©2003 PJM Overview of Demand Response PJM ©2008 PJM www.pjm.com ©2003 PJM Growth, Statistics, and Current Footprint AEP, Dayton, ComEd, & DUQ Dominion Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Current PJM RTO Statistics Current PJM RTO Statistics PJM Mid-Atlantic Integrations completed as of May 1 st , 2005 ©2008 PJM

382

Assumptions to the Annual Energy Outlook 2002 - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 9 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The distinction between the two sets of manufacturing industries pertains to the level of modeling. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 19). The Industrial Demand Module forecasts energy consumption at the four Census region levels; energy consumption at the Census Division level is allocated

383

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

384

Addressing Policy and Logistical Challenges to Smart Grid Implementation:  

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

Smart Grid 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 the Ohio Consumers' Counsel The Office of the Ohio Consumers' Counsel ("OCC") hereby submits the following comments in response to the United States Department of Energy ("DOE") Request for Information ("RFI") entitled "Addressing Policy and Logistical Challenges to Smart Grid Implementation" See 75 Fed. Reg. 57006 (September 17, 201 0). The RFI requests comments and information from interested parties to assist DOE in understanding "policy and logistical challenges that confront smart grid implementation, as well as recommendations on how to best overcome those challenges."

385

Smart Grid RFI: Addressing Policy and Logistical Challenges, Comments from  

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

RFI: Addressing Policy and Logistical Challenges, RFI: Addressing Policy and Logistical Challenges, Comments from the Edison Electric Institute Smart Grid RFI: Addressing Policy and Logistical Challenges, Comments from the Edison Electric Institute The Edison Electric Institute ("EEI"), on behalf of its member companies, hereby submits the following comments in response to the request by the Department of Energy ("DOE" or "Department") for information on a wide range of issues dealing with Smart Grid technology, applications, consumer interaction, policy initiatives and economic impacts, including the definition of Smart Grid; interactions with and implications for residential, commercial and industrial customers; Smart Grid costs and benefits; collaboration between utilities, device manufacturers and energy

386

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

E-Print Network [OSTI]

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 ...

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

2010-01-01T23:59:59.000Z

387

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

E-Print Network [OSTI]

Systems Choose 3 from: · Supply Chain Analytics · Operations Management · Humanitarian Logistics · Green Logistics · Maritime Business and Economics · Maritime Logistics Global Purchasing and Supply Supply Chain

Painter, Kevin

388

A Review of Green Logistics Schemes Used in Cities Around the World  

E-Print Network [OSTI]

are taken by cities and logistics operators. Our criteriaGeroliminis andDaganzo: "Green Logistics" Schemes around theTable 2: Examples of green logistics schemes Geroliminis and

Geroliminis, Nikolaos; Daganzo, Carlos F.

2005-01-01T23:59:59.000Z

389

Optimal Policy Structures of Stochastic Supply Chains with Outsourced Logistics Agreements  

E-Print Network [OSTI]

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

Alper, Osman Engin

2010-01-01T23:59:59.000Z

390

Demand Response Programs, 6. edition  

SciTech Connect (OSTI)

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.

NONE

2007-10-15T23:59:59.000Z

391

U.S. Marine Corp Logistics Base | Open Energy Information  

Open Energy Info (EERE)

Marine Corp Logistics Base Marine Corp Logistics Base Jump to: navigation, search Name U.S. Marine Corp Logistics Base Facility U.S. Marine Corp Logistics Base Sector Wind energy Facility Type Community Wind Facility Status In Service Location Barstow CA Coordinates 34.85832705°, -116.9559002° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":34.85832705,"lon":-116.9559002,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

392

NAP Coalition Response to DOE RFI: Addressing Policy and Logistical  

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

NAP Coalition Response to DOE RFI: Addressing Policy and Logistical 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 Challenges to Smart Grid Implementation The NAP Coalition is a "Coalition of Coalitions" that has been formed for the purpose of implementing the National Action Plan released by FERC in cooperation with DOE in June of 2010. Organizations working together on NAP implementation in include EEI, APPA, NRECA, ASE, ACEEE, NASUCA, NARUC, NASEO, DRSG, DRCC and EDF. The NAP Coalition submits a response in this RFI only to question #14 in Section II of the RFI. NAP Coalition Response to DOE RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation More Documents & Publications

393

NAP Coalition Response to DOE RFI: Addressing Policy and Logistical  

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

NAP Coalition Response to DOE RFI: Addressing Policy and Logistical 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 Challenges to Smart Grid Implementation The NAP Coalition is a "Coalition of Coalitions" that has been formed for the purpose of implementing the National Action Plan released by FERC in cooperation with DOE in June of 2010. Organizations working together on NAP implementation in include EEI, APPA, NRECA, ASE, ACEEE, NASUCA, NARUC, NASEO, DRSG, DRCC and EDF. The NAP Coalition submits a response in this RFI only to question #14 in Section II of the RFI. NAP Coalition Response to DOE RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation More Documents & Publications

394

MIT- Center for Transportation and Logistics | Open Energy Information  

Open Energy Info (EERE)

MIT- Center for Transportation and Logistics MIT- Center for Transportation and Logistics Jump to: navigation, search Logo: MIT- Center for Transportation and Logistics Name MIT- Center for Transportation and Logistics Address 77 Massachusetts Avenue Place Cambridge, Massachusetts Zip 02139 Region Greater Boston Area Coordinates 42.359089°, -71.093412° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.359089,"lon":-71.093412,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

395

Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical  

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

Okaloosa Gas District Smart Grid RFI: Addressing Policy and Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation Okaloosa Gas District (The District) an Independent Special District of the State of Florida is appreciative of the opportunity to submit for your consideration the following comments in response to the U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability's Request for Information Addressing Policy and Logistical Challenges to Smart Grid Implementation, 75 Fed. Reg. 57,006 (Sep. 17, 2010). Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation More Documents & Publications

396

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.

397

Problematic of estimating GHG emissions in Logistics Company  

Science Journals Connector (OSTI)

According to OECD GHG emission database[2], the transportation sector occupies 13.1% of global GHG emission and 23% of global energy use ... Therefore, logistics companies should absolutely struggle with GHG emis...

YeoJu WON; SeungWoo KANG; SeongIl UM…

2012-01-01T23:59:59.000Z

398

Radio frequency identification enabled wireless sensing for intelligent food logistics  

Science Journals Connector (OSTI)

...Hoekstra, Bastien Chopard and Peter Coveney Radio frequency identification enabled wireless sensing for intelligent food logistics Zhuo Zou Qiang Chen Ismail Uysal Lirong Zheng Phil. Trans. R. Soc. A 372, 20130313 (13 June 2014; Published online...

2014-01-01T23:59:59.000Z

399

SHORT-RUN MONEY DEMAND Laurence Ball  

E-Print Network [OSTI]

SHORT-RUN MONEY DEMAND Laurence Ball Johns Hopkins University August 2002 I am grateful with Goldfeld's partial adjustment model. A key innovation is the choice of the interest rate in the money on "near monies" -- close substitutes for M1 such as savings accounts and money market mutual funds

Niebur, Ernst

400

Logistic map: A possible random-number generator  

Science Journals Connector (OSTI)

The logistic map is one of the simple systems exhibiting order to chaos transition. In this work we have investigated the possibility of using the logistic map in the chaotic regime (logmap) for a pseudorandom-number generator. To this end we have performed certain statistical tests on the series of numbers obtained from the logmap. We find that the logmap passes these tests satisfactorily and therefore it possesses many properties required of a pseudorandom-number generator.

S. C. Phatak and S. Suresh Rao

1995-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Port logistics platform integration in supply chain management  

Science Journals Connector (OSTI)

The theme of this study is to present a comprehensive theoretical analysis and conceptual foundation of the port logistics platform as it relates to supply chain management discipline using a system theory approach. In this research paper, three main systems were identified: namely port logistics system, multimodal transport system and information and communication system as a constituent of the port logistics platform. Each system is associated with a specific type of flow, and these systems are closely interrelated. In the meantime, supply chain management and port logistics platform are the main entities governing the port logistics integration processes. The result of the research shows that the port might be a functional element within the supply chains through adapting the system theory approach, in particular soft system methodology. In addition, the proposed framework in relation to the value migration construct provides a better understanding of the contemporary port logistics platform set-up and interrelationship. The theoretical and practical implications of this emerging phenomenon are also discussed in this study.

Badi Almotairi; Kenth Lumsden

2009-01-01T23:59:59.000Z

402

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

of control. Water heater demand response options are notcurrent water heater and air conditioning demand responsecustomer response Demand response water heater participation

Levy, Roger

2014-01-01T23:59:59.000Z

403

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

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

Goldman, Charles

2010-01-01T23:59:59.000Z

404

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

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

Levy, Roger

2014-01-01T23:59:59.000Z

405

Installation and Commissioning Automated Demand Response Systems  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

406

Barrier Immune Radio Communications for Demand Response  

E-Print Network [OSTI]

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

Rubinstein, Francis

2010-01-01T23:59:59.000Z

407

Retail Demand Response in Southwest Power Pool  

E-Print Network [OSTI]

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

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

408

Home Network Technologies and Automating Demand Response  

E-Print Network [OSTI]

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

McParland, Charles

2010-01-01T23:59:59.000Z

409

Wireless Demand Response Controls for HVAC Systems  

E-Print Network [OSTI]

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

Federspiel, Clifford

2010-01-01T23:59:59.000Z

410

Strategies for Demand Response in Commercial Buildings  

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

411

Option Value of Electricity Demand Response  

E-Print Network [OSTI]

Table 1. “Economic” demand response and real time pricing (Implications of Demand Response Programs in CompetitiveAdvanced Metering, and Demand Response in Electricity

Sezgen, Osman; Goldman, Charles; Krishnarao, P.

2005-01-01T23:59:59.000Z

412

Demand Responsive Lighting: A Scoping Study  

E-Print Network [OSTI]

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

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

413

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

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

Goldman, Charles

2010-01-01T23:59:59.000Z

414

China's Coal: Demand, Constraints, and Externalities  

E-Print Network [OSTI]

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

Aden, Nathaniel

2010-01-01T23:59:59.000Z

415

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

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

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

416

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

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

Goldman, Charles

2010-01-01T23:59:59.000Z

417

Scenario Analysis of Peak Demand Savings for Commercial Buildings with  

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

Scenario Analysis of Peak Demand Savings for Commercial Buildings with Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California Title Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California Publication Type Conference Paper LBNL Report Number LBNL-3636e Year of Publication 2010 Authors Yin, Rongxin, Sila Kiliccote, Mary Ann Piette, and Kristen Parrish Conference Name 2010 ACEEE Summer Study on Energy Efficiency in Buildings Conference Location Pacific Grove, CA Keywords demand response and distributed energy resources center, demand response research center, demand shifting (pre-cooling), DRQAT Abstract This paper reports on the potential impact of demand response (DR) strategies in commercial buildings in California based on the Demand Response Quick Assessment Tool (DRQAT), which uses EnergyPlus simulation prototypes for office and retail buildings. The study describes the potential impact of building size, thermal mass, climate, and DR strategies on demand savings in commercial buildings. Sensitivity analyses are performed to evaluate how these factors influence the demand shift and shed during the peak period. The whole-building peak demand of a commercial building with high thermal mass in a hot climate zone can be reduced by 30% using an optimized demand response strategy. Results are summarized for various simulation scenarios designed to help owners and managers understand the potential savings for demand response deployment. Simulated demand savings under various scenarios were compared to field-measured data in numerous climate zones, allowing calibration of the prototype models. The simulation results are compared to the peak demand data from the Commercial End-Use Survey for commercial buildings in California. On the economic side, a set of electricity rates are used to evaluate the impact of the DR strategies on economic savings for different thermal mass and climate conditions. Our comparison of recent simulation to field test results provides an understanding of the DR potential in commercial buildings.

418

electricity demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago) Keywords Electricity Consumption electricity demand energy use by sector New Zealand Data application/vnd.ms-excel icon Electricity Consumption by Sector (1974 - 2009) (xls, 46.1 KiB) application/vnd.ms-excel icon Percentage of Consumers by Sector (2002 - 2009) (xls, 43.5 KiB)

419

Annual World Oil Demand Growth  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Following relatively small increases of 1.3 million barrels per day in 1999 and 0.9 million barrels per day in 2000, EIA is estimating world demand may grow by 1.6 million barrels per day in 2001. Of this increase, about 3/5 comes from non-OECD countries, while U.S. oil demand growth represents more than half of the growth projected in OECD countries. Demand in Asia grew steadily during most of the 1990s, with 1991-1997 average growth per year at just above 0.8 million barrels per day. However, in 1998, demand dropped by 0.3 million barrels per day as a result of the Asian economic crisis that year. Since 1998, annual growth in oil demand has rebounded, but has not yet reached the average growth seen during 1991-1997. In the Former Soviet Union, oil demand plummeted during most of the

420

A Review of Green Logistics Schemes Used in Cities Around the World  

E-Print Network [OSTI]

Table 2: Examples of green logistics schemes Geroliminisand Daganzo: "Green Logistics" Schemes around the world E XGerolìmìnìs and Daganzo: "Green Logìstìcs" Schemes around

Geroliminis, Nikolaos; Daganzo, Carlos F.

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

OFFICE of MATERIALS & LOGISTICS MANAGEMENT CAPITAL ASSET INVENTORY CERTIFICATE --IC-10  

E-Print Network [OSTI]

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

Oliver, Douglas L.

422

Office of Business Development UTSC Farmers Market Programmer and Logistics Coordinator  

E-Print Network [OSTI]

and Logistics Coordinator The terms and conditions of employment are governed programming and Farmers Market logistics including but not limited to; confirming

Boonstra, Rudy

423

Strategic planning for disaster relief logistics: lessons from supply chain management  

Science Journals Connector (OSTI)

Management of disaster relief logistics requires different techniques at different levels. We identify four stages: 1 strategic planning which concerns high level decisions such as supplier selection and confirmation of communication protocols; 2 preparedness which concerns decisions regarding the amount and location of relief supplies to be stored; 3 pre-event response which concerns decisions during those occasions when an approaching disaster, such as a hurricane, has been detected; 4 post-event response which concerns what needs to be done immediately after a disaster has occurred. In this article, we concentrate on the strategic planning stage and build an integrated logistics model based on elements of supply chain management theory. This model provides specific recommendations to practitioners and identifies important areas to be researched. We also point out the applicable techniques at each of the other stages and cite relevant literature.

Nezih Altay; Sameer Prasad; Jayavel Sounderpandian

2009-01-01T23:59:59.000Z

424

The optimal approach for parameter settings based on adjustable contracting capacity for the hospital supply chain logistics system  

Science Journals Connector (OSTI)

This paper establishes a simulation model for the supply chain of the hospital logistic system (SCHLS) based on the dynamic Taguchi method. The model derives optimal factor level combinations in the SCHLS setting when establishing adjustable contracting ... Keywords: Genetic algorithm (GA), Neural network (NN), Supply chain (SC), Taguchi method

Hung-Chang Liao; Hsu-Hwa Chang

2011-05-01T23:59:59.000Z

425

System Demand-Side Management: Regional results  

SciTech Connect (OSTI)

To improve the Bonneville Power Administration's (Bonneville's) ability to analyze the value and impacts of demand-side programs, Pacific Northwest Laboratory (PNL) developed and implemented the System Demand-Side Management (SDSM) model, a microcomputer-based model of the Pacific Northwest Public Power system. This document outlines the development and application of the SDSM model, which is an hourly model. Hourly analysis makes it possible to examine the change in marginal revenues and marginal costs that accrue from the movement of energy consumption from daytime to nighttime. It also allows a more insightful analysis of programs such as water heater control in the context of hydroelectric-based generation system. 7 refs., 10 figs., 10 tabs.

Englin, J.E.; Sands, R.D.; De Steese, J.G.; Marsh, S.J.

1990-05-01T23:59:59.000Z

426

title Automated Price and Demand Response Demonstration for Large Customers  

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

Automated Price and Demand Response Demonstration for Large Customers Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR booktitle International Conference for Enhanced Building Operations ICEBO year month address Montreal Quebec abstract p class p1 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 to the default day ahead hourly pricing We summarize the existing demand response programs in New York and discuss OpenADR communication prioritization of demand response signals and control methods Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management

427

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

E-Print Network [OSTI]

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

Boutaba, Raouf

428

Harnessing the power of demand  

SciTech Connect (OSTI)

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)

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

2008-03-15T23:59:59.000Z

429

China, India demand cushions prices  

SciTech Connect (OSTI)

Despite the hopes of coal consumers, coal prices did not plummet in 2006 as demand stayed firm. China and India's growing economies, coupled with solid supply-demand fundamentals in North America and Europe, and highly volatile prices for alternatives are likely to keep physical coal prices from wide swings in the coming year.

Boyle, M.

2006-11-15T23:59:59.000Z

430

Honeywell Demonstrates Automated Demand Response Benefits for...  

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

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

431

Retail Demand Response in Southwest Power Pool  

E-Print Network [OSTI]

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

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

432

Automated Demand Response and Commissioning  

SciTech Connect (OSTI)

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.

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

2005-04-01T23:59:59.000Z

433

The Selection of the Logistics Center Location Based on MCDM/A Methodology  

Science Journals Connector (OSTI)

Abstract The paper presents the first stage of the MCDM/A-based two-stage procedure resulting in the selection of the most desirable location of the logistics centre. In the first stage, the macro-analysis of the regions is carried out and multiple criteria evaluation of their technological, infrastructural, economic, social and environmental potential is performed. The decision problem is formulated as a multiple criteria ranking problem. The considered variants – regions are ranked from the best to the worst – in terms of their suitability for locating the logistics centre within their boundaries – with the application of the MCDM/A method, called Electre III/IV. The variants and a consistent family of criteria are defined, the decision maker's preferences are modelled and the results of computational experiments are demonstrated.

Jacek ?ak; Szymon W?gli?ski

2014-01-01T23:59:59.000Z

434

A multi-agent design for sense and respond logistics simulation  

Science Journals Connector (OSTI)

Sense and Respond Logistics (SARL) is a highly flexible, agile, and adaptive methodology for managing logistics resources in a network-centric and information rich environment. Designing and developing the software for simulating a system with such complexity presents challenges that stem from the role of heterogeneous communication channels and decision choices that produce non-deterministic outcomes. We describe the use of multi-agent approaches for simulating SARL applications. We also argue for the use of formal methods and aspect-oriented techniques in the design of these simulations, to assist in supporting model validation and verification. Features of an aspect-oriented, multi-agent, architectural description languages are also presented as a mechanism for reasoning about cross-cutting concerns.

Martin C. Lundell; Dianxiang Xu; Denver Tolliver; Kendall E. Nygard

2007-01-01T23:59:59.000Z

435

DEMAND CONTROLLED VENTILATION AND CLASSROOM VENTILATION  

SciTech Connect (OSTI)

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.

Fisk, William J.; Mendell, Mark J.; Davies, Molly; Eliseeva, Ekaterina; Faulkner, David; Hong, Tienzen; Sullivan, Douglas P.

2014-01-06T23:59:59.000Z

436

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

E-Print Network [OSTI]

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

Li, Mo

437

Proceedings IGLC-15, July 2007, Michigan, USA LOGISTICS CENTERS TO SUPPORT PROJECT-  

E-Print Network [OSTI]

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

Kaminsky, Philip M.

438

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

global gasoline and diesel price and income elasticities.shift in the short-run price elasticity of gasoline demand.Habits and Uncertain Relative Prices: Simulating Petrol Con-

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

439

Logistic Management Forms (4000-4999) | Department of Energy  

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

Logistic Management Forms (4000-4999) Logistic Management Forms (4000-4999) Logistic Management Forms (4000-4999) DOE F 4200.33 (fillable pdf) Procurement Request-Authorization DOE F 4200.34 (fillable pdf) Procurement Request-Authorization Funding Data (Continuation Sheet) DOE F 4200.40 (pdf) Individual Procurement Action Report (IPAR) DOE F 4200.40A (pdf) Individual Procurement Action Report (IPAR) DOE F 4200.41 (pdf) Individual Procurement Action Report Supplement for Procurement and Financial Assistance DOE F 4220.2 (fillable pdf) Small Business Review DOE F 4220.10 (fillable pdf) Congressional and Intergovernmental Affairs (CI) Notification DOE F 4220.23 (pdf) Weighted Guidelines Profit/Fee Objective DOE F 4250.2 (fillable pdf) Requisition for Supplies, Equipment, or Service DOE F 4250.3

440

Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of  

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

Challenges. Challenges. Comments of the Alliance to Save Energy. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. The Alliance to Save Energy is a coalition of prominent business, government, environmental, and consumer leaders who promote the efficient use of energy worldwide to benefit consumers, the environment, economy, and national security. The Alliance to Save Energy (the Alliance) thanks the Department of Energy for the opportunity to comment on broad issues of policy and logistical challenges faced in smart grid implementation. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. More Documents & Publications DC OPC Comments. September 17, 2010 Comments of the National Rural Electric Cooperative Association, Request

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Benchmarking transportation logistics practices for effective system planning  

SciTech Connect (OSTI)

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)

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

442

Contribution to Logistics of Catastrophes in Consequence of Floods  

Science Journals Connector (OSTI)

Abstract The flood is considered to be a phenomenon that consists of different, interlinked stages or phases. Each stage of flooding from flood hazard, through course itself up to after-rehabilitation actions, can be solved by methods of risk management and crisis. The methods propose systematic procedure of identification, analysis, risk assessment and proposal planning process to avert catastrophic situations. Each proposal contains design of logistic processes consisting of specific logistic elements and logistics processes of catastrophes. Catastrophic scenarios reflect the threat rate of protected interests by development of the risks rate that can be observed in the development curve of the life cycle of assessed risk and the development level of safety due to their causal relationship. Quick response to the catastrophic development is conditional to identification rate of the environment in which the catastrophic scenario is gradually enacted. Therefore visualization of threatened objects by geoinformative system instruments including the development of actual geodatabases is imperative.

Imrich Kisss; Emil Wessely; Monika Bliš?anová

2014-01-01T23:59:59.000Z

443

A spatial agent-based model for assessing strategies of adaptation to climate and tourism demand changes in an alpine tourism destination  

Science Journals Connector (OSTI)

A vast body of literature suggests that the European Alpine Region is amongst the most sensitive socio-ecosystems to climate change impacts. Our model represents the winter tourism socio-ecosystem of Auronzo di Cadore, located in the Dolomites (Italy), ... Keywords: Adaptation strategies, Alpine tourism, Climate change, Social simulation, Spatial agent-based model

Stefano Balbi; Carlo Giupponi; Pascal Perez; Marco Alberti

2013-07-01T23:59:59.000Z

444

Feasibility analysis of a Global Logistics Hub in Panama  

Science Journals Connector (OSTI)

The objective of this essay is to identify the more relevant criteria for a Global Logistic Hub (GLH) development in Panama, which main obstacle is the multi-criteria evaluation and decision environment it is immersed in. The Analytic Hierarchy Process (AHP) was chosen because of its capacity to deal with such complex decision environment. After identification of Panamas logistic potential, the next step was surveying the development criteria within a widely group of specialists and applying the AHP technical aspects. The results reveal global strategic position, Vorland development and proximity to import/export areas as the more relevant criteria to assure a GLH development.

Thiago Barros Brito; Rui Carlos Botter

2012-01-01T23:59:59.000Z

445

Outsourcing Logistics in the Oil and Gas Industry  

E-Print Network [OSTI]

-2016 Drilling and Exploration (Upstream) $329.9bn 3.10% 5.50% $158.4bn 48.00% Refining (Downstream) $698.9bn 4.60% 3.10% $90.9bn 13.00% 9 CHAPTER II METHODOLOGY The study includes literature review from academic and industry specific journals... Outsourcing Outlook in the Oil and Gas Industry Industry Segment Drilling and Exploration Refining Revenue $329.9bn $698.9bn Average Total Logistic Expenditure (ATLE) (11% of Revenue*) $36.29bn $76.88bn Average Total Logistics Expenditure Outsourced...

Herrera, Cristina 1988-

2012-04-30T23:59:59.000Z

446

Factor Influencing Logistics Service Providers Efficiency’ in Urban Distribution Systems  

Science Journals Connector (OSTI)

Abstract The increased urbanization and the awareness of freight transportation impacts have stressed the importance of City Logistics (CL) as a comprehensive approach aimed at mitigating the negative effects of distribution activities without penalizing social, cultural, and economic issues. In this context, a crucial role is played by logistics service providers (LSPs). This paper proposes an empirical analysis on the operational factors determining the level of efficiency of a LSP. This study represents an attempt to develop a panel of operational variables supporting the efficiency of the urban distribution system of LSPs. The potential benefits are both economic and environmental.

Alberto De Marco; Anna C. Cagliano; Giulio Mangano; Francesca Perfetti

2014-01-01T23:59:59.000Z

447

Demand Response Research in Spain  

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

Demand Response Research in Spain Demand Response Research in Spain Speaker(s): Iñigo Cobelo Date: August 22, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Mary Ann Piette The Spanish power system is becoming increasingly difficult to operate. The peak load grows every year, and the permission to build new transmission and distribution infrastructures is difficult to obtain. In this scenario Demand Response can play an important role, and become a resource that could help network operators. The present deployment of demand response measures is small, but this situation however may change in the short term. The two main Spanish utilities and the transmission network operator are designing research projects in this field. All customer segments are targeted, and the research will lead to pilot installations and tests.

448

EIA - AEO2010 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2010 with Projections to 2035 Electricity Demand Figure 69. U.S. electricity demand growth 1950-2035 Click to enlarge » Figure source and data excel logo Figure 60. Average annual U.S. retail electricity prices in three cases, 1970-2035 Click to enlarge » Figure source and data excel logo Figure 61. Electricity generation by fuel in three cases, 2008 and 2035 Click to enlarge » Figure source and data excel logo Figure 62. Electricity generation capacity additions by fuel type, 2008-2035 Click to enlarge » Figure source and data excel logo Figure 63. Levelized electricity costs for new power plants, 2020 and 2035 Click to enlarge » Figure source and data excel logo Figure 64. Electricity generating capacity at U.S. nuclear power plants in three cases, 2008, 2020, and 2035

449

Full Rank Rational Demand Systems  

E-Print Network [OSTI]

as a nominal income full rank QES. R EFERENCES (A.84)S. G. Donald. “Inferring the Rank of a Matrix. ” Journal of97-102. . “A Demand System Rank Theorem. ” Econometrica 57 (

LaFrance, Jeffrey T; Pope, Rulon D.

2006-01-01T23:59:59.000Z

450

Demand Forecasting of New Products  

E-Print Network [OSTI]

Keeping Unit or SKU) employing attribute analysis techniques. The objective of this thesis is to improve Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock

Sun, Yu

451

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..., 2009 4 An Innovative Solution to Get the Ball Rolling ? Demand Response (DR) ? Monitoring Based Commissioning (MBCx) EnerNOC has a solution involving two complementary offerings. ESL-IC-09-11-05 Proceedings of the Ninth International Conference...

452

Demand Response Spinning Reserve Demonstration  

SciTech Connect (OSTI)

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.

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

453

Peak oil analyzed with a logistic function and idealized Hubbert curve  

Science Journals Connector (OSTI)

A logistic function is used to characterize peak and ultimate production of global crude oil and petroleum-derived liquid fuels. Annual oil production data were incrementally summed to construct a logistic curve in its initial phase. Using a curve-fitting approach, a population-growth logistic function was applied to complete the cumulative production curve. The simulated curve was then deconstructed into a set of annual oil production data producing an “idealized” Hubbert curve. An idealized Hubbert curve (IHC) is defined as having properties of production data resulting from a constant growth-rate under fixed resource limits. An IHC represents a potential production curve constructed from cumulative production data and provides a new perspective for estimating peak production periods and remaining resources. The IHC model data show that idealized peak oil production occurred in 2009 at 83.2 Mb/d (30.4 Gb/y). IHC simulations of truncated historical oil production data produced similar results and indicate that this methodology can be useful as a prediction tool.

Brian Gallagher

2011-01-01T23:59:59.000Z

454

EIA - Assumptions to the Annual Energy Outlook 2008 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2008 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module projects energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region projection using the SEDS1 data.

455

Log-Linear Models a.k.a. Logistic Regression,  

E-Print Network [OSTI]

(statistics) 2 #12;2 Probability is Useful We love probability distributions! summary of half of the course (statistics) 2 #12;2 Probability is Useful We love probability distributions! We've learned how to define & use p(...) functions. summary of half of the course (statistics) 2 #12;2 Probability is Useful We

Smith, David A.

456

Demand forecasting for multiple slow-moving items with short requests history and unequal demand variance  

Science Journals Connector (OSTI)

Modeling the lead-time demand for the multiple slow-moving inventory items in the case when the available requests history is very short is a challenge for inventory management. The classical forecasting technique, which is based on the aggregation of the stock keeping units to overcome the mentioned historical data peculiarity, is known to lead to very poor performance in many cases important for industrial applications. An alternative approach to the demand forecasting for the considered problem is based on the Bayesian paradigm, when the initially developed population-averaged demand probability distribution is modified for each item using its specific requests history. This paper follows this approach and presents a new model, which relies on the beta distribution as a prior for the request probability, and allows to account for disparity in variance of demand between different stock keeping units. To estimate the model parameters, a special computationally effective technique based on the generalized method of moments is developed. Simulation results indicate the superiority of the proposed model over the known ones, while the computational burden does not increase.

Alexandre Dolgui; Maksim Pashkevich

2008-01-01T23:59:59.000Z

457

National Action Plan on Demand Response  

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

Action Plan on Demand National Action Plan on Demand Action Plan on Demand National Action Plan on Demand Response Response Federal Utilities Partnership Working Group Federal Utilities Partnership Working Group November 18, 2008 November 18, 2008 Daniel Gore Daniel Gore Office of Energy Market Regulation Office of Energy Market Regulation Federal Energy Regulatory Commission Federal Energy Regulatory Commission The author's views do not necessarily represent the views of the Federal Energy Regulatory Commission Presentation Contents Presentation Contents Statutory Requirements Statutory Requirements National Assessment [Study] of Demand Response National Assessment [Study] of Demand Response National Action Plan on Demand Response National Action Plan on Demand Response General Discussion on Demand Response and Energy Outlook

458

Price Responsive Demand in New York Wholesale Electricity Market using  

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

Price Responsive Demand in New York Wholesale Electricity Market using Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Title Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Publication Type Report LBNL Report Number LBNL-5557E Year of Publication 2012 Authors Kim, Joyce Jihyun, and Sila Kiliccote Date Published 06/2012 Publisher LBNL/NYSERDA Keywords commercial, demand response, dynamic pricing, mandatory hourly pricing, open automated demand response, openadr, pilot studies & implementation, price responsive demand Abstract In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

459

NASA/CP--2006214202 NASA Space Exploration Logistics Workshop  

E-Print Network [OSTI]

NASA/CP--2006­214202 NASA Space Exploration Logistics Workshop Proceedings January 17-18, 2006 Washington, DC April 2006 #12;NASA STI Program ... in Profile Since its founding, NASA has been dedicated to the advancement of aeronautics and space science. The NASA scientific and technical information (STI) program

de Weck, Olivier L.

460

Logistics in a Low Carbon World Dr Maja I. Piecyk  

E-Print Network [OSTI]

with automated manual transmission 2% Set vehicle speed limiters at lower speeds 0.4% Reduce engine idling 3 Government #12;Potential CO2 Reduction and Costs in Different Sectors (idealised) Logistics Agriculture Other utilities Primary production & manufacturing Private services Power generation Public services cost c A c

Painter, Kevin

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

MIT Center for Transportation & Logistics Distinguished Speakers Series  

E-Print Network [OSTI]

MIT Center for Transportation & Logistics Distinguished Speakers Series Richard A. Davey MBTA;Transportation Reform ­ Moving Forward Transportation Reform Governance & Oversight · MBTA Board reconfigured mirroring the MassDOT's Five (5) member Board. · MBTA remains a separate legal entity from MassDOT. · MBTA

Entekhabi, Dara

462

Freight/logistics symposium ..2 Airport guidebook...................3  

E-Print Network [OSTI]

· Freight/logistics symposium ..2 · Airport guidebook...................3 · State Fair exhibit Administration in Boston, is charged with improving the nation's transpor- tation system through collaborations between the USDOT and other federal, state, local, and international agencies and entities. "This

Minnesota, University of

463

Applying logistic regression to relevance feedback in image retrieval systems  

Science Journals Connector (OSTI)

This paper deals with the problem of image retrieval from large image databases. A particularly interesting problem is the retrieval of all images which are similar to one in the user's mind, taking into account his/her feedback which is expressed as ... Keywords: Content-based image retrieval systems, Logistic regression, Low-level image descriptors, Visual information retrieval

T. León; P. Zuccarello; G. Ayala; E. de Ves; J. Domingo

2007-10-01T23:59:59.000Z

464

Demand Response Projects: Technical and Market Demonstrations  

E-Print Network [OSTI]

Demand Response Projects: Technical and Market Demonstrations Philip D. Lusk Deputy Director Energy Analyst #12;PLACE CAPTION HERE. #12;#12;#12;#12;City of Port Angeles Demand Response History energy charges · Demand charges during peak period only ­ Reduced demand charges for demand response

465

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

E-Print Network [OSTI]

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

Kiliccote, Sila

2010-01-01T23:59:59.000Z

466

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network [OSTI]

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

Mares, K.C.

2010-01-01T23:59:59.000Z

467

Supply Chain Networks, Electronic Commerce, and Supply Side and Demand Side Risk  

E-Print Network [OSTI]

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

Nagurney, Anna

468

Inventory Management of Perishable Goods under Demand Variability  

E-Print Network [OSTI]

science and economic parameters examining the impacts of different demand specifications on the cost minimization and profit maximization problem of fluid milk. The square root model from the food science literature is used to estimate the shelf...

Ayoub, Wisam Hanna

2013-08-01T23:59:59.000Z

469

Demand Side Management in Smart Buildings Using KNX/EIB  

Science Journals Connector (OSTI)

This paper aims to present the development, design and analysis of a control scheme named Thermal Model Predictive Control for Demand Side Management Cooling Strategies. The control is implemented on ... for ener...

P. Romanos; N. Hatziargyriou; Jurgen Schmid

2011-01-01T23:59:59.000Z

470

Exchange Rate Effects on Excess Demand in the United States for Canadian Oil .  

E-Print Network [OSTI]

??This paper examines a model of excess supply and excess demand for Canadian oil in the United States utilizing an error correction model and time… (more)

Dickey, James

2011-01-01T23:59:59.000Z

471

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

E-Print Network [OSTI]

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 ...

Bonde Åkerlind, Ingrid Gudrun

2013-01-01T23:59:59.000Z

472

Energy Demand Forecasting in China Based on Dynamic RBF Neural Network  

Science Journals Connector (OSTI)

A dynamic radial basis function (RBF) network model is proposed for energy demand forecasting in this paper. Firstly, we ... detail. At last, the data of total energy demand in China are analyzed and experimental...

Dongqing Zhang; Kaiping Ma; Yuexia Zhao

2011-01-01T23:59:59.000Z

473

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

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

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

474

Demand Response as a System Reliability Resource  

E-Print Network [OSTI]

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

Joseph, Eto

2014-01-01T23:59:59.000Z

475

Demand response-enabled residential thermostat controls.  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

476

Value of Demand Response -Introduction Klaus Skytte  

E-Print Network [OSTI]

Value of Demand Response - Introduction Klaus Skytte Systems Analysis Department February 7, 2006 Energinet.dk, Ballerup #12;What is Demand Response? Demand response (DR) is the short-term response

477

World Energy Use — Trends in Demand  

Science Journals Connector (OSTI)

In order to provide adequate energy supplies in the future, trends in energy demand must be evaluated and projections of future demand developed. World energy use is far from static, and an understanding of the demand

Randy Hudson

1996-01-01T23:59:59.000Z

478

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

479

Balancing of Energy Supply and Residential Demand  

Science Journals Connector (OSTI)

Power demand of private households shows daily fluctuations and ... (BEV) and heat pumps. This additional demand, especially when it remains unmanaged, will ... to an increase in fluctuations. To balance demand,

Martin Bock; Grit Walther

2014-01-01T23:59:59.000Z

480

Definition: Demand | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Definition Edit with form History Facebook icon Twitter icon » Definition: Demand Jump to: navigation, search Dictionary.png Demand The rate at which electric energy is delivered to or by a system or part of a system, generally expressed in kilowatts or megawatts, at a given instant or averaged over any designated interval of time., The rate at which energy is being used by the customer.[1] Related Terms energy, electricity generation References ↑ Glossary of Terms Used in Reliability Standards An i Like Like You like this.Sign Up to see what your friends like. nline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Demand&oldid=480555"

Note: This page contains sample records for the topic "logistics demand model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Winter Demand Impacted by Weather  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: Heating oil demand is strongly influenced by weather. The "normal" numbers are the expected values for winter 2000-2001 used in EIA's Short-Term Energy Outlook. The chart indicates the extent to which the last winter exhibited below-normal heating degree-days (and thus below-normal heating demand). Temperatures were consistently warmer than normal throughout the 1999-2000 heating season. This was particularly true in November 1999, February 2001 and March 2001. For the heating season as a whole (October through March), the 1999-2000 winter yielded total HDDs 10.7% below normal. Normal temperatures this coming winter would, then, be expected to bring about 11% higher heating demand than we saw last year. Relative to normal, the 1999-2000 heating season was the warmest in

482

Turkey's energy demand and supply  

SciTech Connect (OSTI)

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.

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

2009-07-01T23:59:59.000Z

483

Demand Response as a System Reliability Resource  

E-Print Network [OSTI]

for Demand Response Technology Development The objective ofin planning demand response technology RD&D by conductingNew and Emerging Technologies into the California Smart Grid

Joseph, Eto

2014-01-01T23:59:59.000Z

484

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

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

Goldman, Charles

2010-01-01T23:59:59.000Z

485

Demand Response - Policy | Department of Energy  

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

Demand Response - Policy Demand Response - Policy Since its inception, the Office of Electricity Delivery and Energy Reliability (OE) has been committed to modernizing the nation's...

486

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,...

487

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

and Demand Response A pilot program from NSTAR in Massachusetts,Massachusetts, aiming to test whether an intensive program of energy efficiency and demand response

Goldman, Charles

2010-01-01T23:59:59.000Z

488

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

489

Marketing & Driving Demand: Social Media Tools & Strategies ...  

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

Demand: Social Media Tools & Strategies - January 16, 2011 Marketing & Driving Demand: Social Media Tools & Strategies - January 16, 2011 January 16, 2011 Conference Call...

490

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

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

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

491

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

Vehicle Conventional and Alternative Fuel Response Simulatormodified to include alternative fuel demand scenarios (whichvehicle adoption and alternative fuel demand) later in the

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

2008-01-01T23:59:59.000Z

492

Hydrogen Demand and Resource Assessment Tool | Open Energy Information  

Open Energy Info (EERE)

Hydrogen Demand and Resource Assessment Tool Hydrogen Demand and Resource Assessment Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Hydrogen Demand and Resource Assessment Tool Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Hydrogen, Transportation Topics: Technology characterizations Resource Type: Dataset, Software/modeling tools User Interface: Website Website: maps.nrel.gov/ Web Application Link: maps.nrel.gov/hydra Cost: Free Language: English References: http://maps.nrel.gov/hydra Logo: Hydrogen Demand and Resource Assessment Tool Use HyDRA to view, download, and analyze hydrogen data spatially and dynamically. HyDRA provides access to hydrogen demand, resource, infrastructure, cost, production, and distribution data. A user account is

493

Assisting Mexico in Developing Energy Supply and Demand Projections | Open  

Open Energy Info (EERE)

Assisting Mexico in Developing Energy Supply and Demand Projections Assisting Mexico in Developing Energy Supply and Demand Projections Jump to: navigation, search Name Assisting Mexico in Developing Energy Supply and Demand Projections Agency/Company /Organization Argonne National Laboratory Sector Energy Topics GHG inventory, Background analysis Resource Type Software/modeling tools Website http://www.dis.anl.gov/news/Me Country Mexico UN Region Latin America and the Caribbean References Assisting Mexico in Developing Energy Supply and Demand Projections[1] "CEEESA and the team of experts from Mexico analyzed the country's entire energy supply and demand system using CEEESA's latest version of the popular ENPEP-BALANCE software. The team developed a system representation, a so-called energy network, using ENPEP's powerful graphical user

494

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

SciTech Connect (OSTI)

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.

Sullivan, Neal P

2012-08-06T23:59:59.000Z

495

Smart Buildings and Demand Response  

Science Journals Connector (OSTI)

Advances in communications and control technology the strengthening of the Internet and the growing appreciation of the urgency to reduce demand side energy use are motivating the development of improvements in both energy efficiency and demand response (DR) systems in buildings. This paper provides a framework linking continuous energy management and continuous communications for automated demand response (Auto?DR) in various times scales. We provide a set of concepts for monitoring and controls linked to standards and procedures such as Open Automation Demand Response Communication Standards (OpenADR). Basic building energy science and control issues in this approach begin with key building components systems end?uses and whole building energy performance metrics. The paper presents a framework about when energy is used levels of services by energy using systems granularity of control and speed of telemetry. DR when defined as a discrete event requires a different set of building service levels than daily operations. We provide examples of lessons from DR case studies and links to energy efficiency.

2011-01-01T23:59:59.000Z

496

Water demand management in Kuwait  

E-Print Network [OSTI]

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 ...

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

2006-01-01T23:59:59.000Z

497

Addressing Policy and Logistical Challenges to smart grid Implementation:  

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

smart grid smart grid Implementation: eMeter Response to Department of Energy RFI Addressing Policy and Logistical Challenges to smart grid Implementation: eMeter Response to Department of Energy RFI eMeter is a smart grid software company that provides smart network application platform (SNAP) software to integrate smart meters and smart grid communications networks and devices with utility IT systems. eMeter also provides smart grid application software such as meter data management (MDM) and consumer engagement software. Being vendor-neutral toward all meter, hardware, and legacy utility software systems (e.g. CIS and Billing), eMeter has a unique, unbiased and global perspective on smart grid IT issues. Addressing Policy and Logistical Challenges to smart grid Implementation:

498

Overview of AREVA Logistics Business Unit Capabilities and Expertise  

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

Outline Outline Presentation Outline Overview of AREVA Logistics Business Unit capabilities and E ti Expertise Overview of Transnuclear Inc Transportation Capabilities in the United States Questions Quick Reminder of Fuel Cycle - p.2 AREVA Logistics Business Unit - p.3 Around 4 000 transports each year Around 4,000 transports each year More than 200 transports of used fuel (France and Europe), of vitrified and compacted waste (Europe and Japan) of vitrified and compacted waste (Europe and Japan) More than 150 MOX fuel transports More than 300 transports of low level waste More than 2,700 front-end transports More than 400 transports of heavy industrial equipment Around 150 transports for research reactors and laboratories - p.4 Around 150 transports for research reactors and laboratories Design, Testing and Licensing:

499

Addressing Policy and Logistical Challenges to Smart Grid Implementation  

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

Before the Before the Department of Energy Washington, D.C. 20585 In the Matter of Addressing Policy and Logistical Challenges to Smart Grid Implementation Smart Grid RFI: Addressing Policy and Logistical Challenges COMMENTS OF BALTIMORE GAS & ELECTRIC COMPANY I. Introduction BGE is the nation's oldest utility company. It has met the energy needs of Central Maryland for nearly 200 years. Today, it serves more than 1.2 million business and residential electric customers and approximately 650,000 gas customers in an economically diverse, 2,300- square-mile area encompassing Baltimore City and all or part of 10 central Maryland counties. BGE already has many systems that it considers to be "smart." For example:

500

Smart Grid RFI: Addressing Policy and Logistical Challenges  

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

Electricity Delivery and Energy Reliability Electricity Delivery and Energy Reliability 1000 Independence Avenue, SW Room 8H033 Washington, DC 20585 Submitted electronically via smartgridpolicy@hq.doe.gov Smart Grid Request for Information: Addressing Policy and Logistical Challenges Comments of the Alliance to Save Energy The Alliance to Save Energy (the Alliance) thanks the Department of Energy for the opportunity to comment on broad issues of policy and logistical challenges faced in smart grid implementation. The Alliance to Save Energy is a coalition of prominent business, government, environmental, and consumer leaders who promote the efficient use of energy worldwide to benefit consumers, the environment, economy, and national security. The Alliance is a nonprofit 501 (c) (3) organization.