National Library of Energy BETA

Sample records for gas distribution network

  1. Network aware distributed applications

    SciTech Connect (OSTI)

    Agarwal, Deborah [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Tierney, Brian L. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Gunter, Dan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lee, Jason [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Johnston, William [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2001-02-04

    Most distributed applications today manage to utilize only a small percentage of the needed and available network bandwidth. Often application developers are not aware of the potential bandwidth of the network, and therefore do not know what to expect. Even when application developers are aware of the specifications of the machines and network links, they have few resources that can help determine why the expected performance was not achieved. What is needed is a ubiquitous and easy-to-use service that provides reliable, accurate, secure, and timely estimates of dynamic network properties. This service will help advise applications on how to make use of the network's increasing bandwidth and capabilities for traffic shaping and engineering. When fully implemented, this service will make building currently unrealizable levels of network awareness into distributed applications a relatively mundane task. For example, a remote data visualization application could choose between sending a wireframe, a pre-rendered image, or a 3-D representation, based on forecasts of CPU availability and power, compression options, and available bandwidth. The same service will provide on-demand performance information so that applications can compare predicted with actual results, and allow detailed queries about the end-to-end path for application and network tuning and debugging.

  2. Sensor Networks: Distributed Algorithms Reloaded or Revolutions?

    E-Print Network [OSTI]

    Sensor Networks: Distributed Algorithms Reloaded ­ or Revolutions? Roger Wattenhofer Computer. This paper wants to motivate the distributed algorithms community to study sensor networks. We discuss why community, a sensor network essentially is ­ a database. The distributed algorithms community should join

  3. Entanglement Distribution in Optical Networks

    E-Print Network [OSTI]

    Alex Ciurana; Vicente Martin; Jesus Martinez-Mateo; Bernhard Schrenk; Momtchil Peev; Andreas Poppe

    2014-09-21

    The ability to generate entangled photon-pairs over a broad wavelength range opens the door to the simultaneous distribution of entanglement to multiple users in a network by using centralized sources and flexible wavelength-division multiplexing schemes. Here we show the design of a metropolitan optical network consisting of tree-type access networks whereby entangled photon-pairs are distributed to any pair of users, independent of their location. The network is constructed employing commercial off-the-shelf components and uses the existing infrastructure, which allows for moderate deployment costs. We further develop a channel plan and a network-architecture design to provide a direct optical path between any pair of users, thus allowing classical and one-way quantum communication as well as entanglement distribution. This allows the simultaneous operation of multiple quantum information technologies. Finally, we present a more flexible backbone architecture that pushes away the load limitations of the original network design by extending its reach, number of users and capabilities.

  4. Distributed downhole drilling network

    DOE Patents [OSTI]

    Hall, David R.; Hall, Jr., H. Tracy; Fox, Joe; Pixton, David S.

    2006-11-21

    A high-speed downhole network providing real-time data from downhole components of a drilling strings includes a bottom-hole node interfacing to a bottom-hole assembly located proximate the bottom end of a drill string. A top-hole node is connected proximate the top end of the drill string. One or several intermediate nodes are located along the drill string between the bottom-hole node and the top-hole node. The intermediate nodes are configured to receive and transmit data packets transmitted between the bottom-hole node and the top-hole node. A communications link, integrated into the drill string, is used to operably connect the bottom-hole node, the intermediate nodes, and the top-hole node. In selected embodiments, a personal or other computer may be connected to the top-hole node, to analyze data received from the intermediate and bottom-hole nodes.

  5. Gas Main Sensor and Communications Network System

    SciTech Connect (OSTI)

    Hagen Schempf

    2006-05-31

    Automatika, Inc. was contracted by the Department of Energy (DOE) and with co-funding from the Northeast Gas Association (NGA), to develop an in-pipe natural gas prototype measurement and wireless communications system for assessing and monitoring distribution networks. This projected was completed in April 2006, and culminated in the installation of more than 2 dozen GasNet nodes in both low- and high-pressure cast-iron and steel mains owned by multiple utilities in the northeastern US. Utilities are currently logging data (off-line) and monitoring data in real time from single and multiple networked sensors over cellular networks and collecting data using wireless bluetooth PDA systems. The system was designed to be modular, using in-pipe sensor-wands capable of measuring, flow, pressure, temperature, water-content and vibration. Internal antennae allowed for the use of the pipe-internals as a waveguide for setting up a sensor network to collect data from multiple nodes simultaneously. Sensor nodes were designed to be installed with low- and no-blow techniques and tools. Using a multi-drop bus technique with a custom protocol, all electronics were designed to be buriable and allow for on-board data-collection (SD-card), wireless relaying and cellular network forwarding. Installation options afforded by the design included direct-burial and external polemounted variants. Power was provided by one or more batteries, direct AC-power (Class I Div.2) and solar-array. The utilities are currently in a data-collection phase and intend to use the collected (and processed) data to make capital improvement decisions, compare it to Stoner model predictions and evaluate the use of such a system for future expansion, technology-improvement and commercialization starting later in 2006.

  6. Consistency of Posterior Distributions for Neural Networks

    E-Print Network [OSTI]

    Consistency of Posterior Distributions for Neural Networks Herbert Lee \\Lambda May 21, 1998 Abstract In this paper we show that the posterior distribution for feedforward neural networks is asymp neural networks for nonparametric regression in a Bayesian framework. Keywords: Bayesian statistics

  7. Resilience of natural gas networks during conflicts, crises and disruptions

    E-Print Network [OSTI]

    Carvalho, Rui; Bono, Flavio; Masera, Marcelo; Arrowsmith, David K; Helbing, Dirk

    2013-01-01

    Human conflict, geopolitical crises, terrorist attacks, and natural disasters can turn large parts of energy distribution networks offline. Europe's current gas supply network is largely dependent on deliveries from Russia and North Africa, creating vulnerabililties to social and political instabilities. During crises, less delivery may mean greater congestion, as the pipeline network is used in ways it has not been designed for. Given the importance of the security of natural gas supply, we develop a model to handle network congestion on various geographical scales. We offer a resilient response strategy to energy shortages and quantify its effectiveness for a variety of relevant scenarios. In essence, Europe's gas supply can be made robust even to major supply disruptions, if a fair distribution strategy is applied.

  8. Distributed Connectivity of Wireless Networks

    E-Print Network [OSTI]

    Halldorsson, Magnus M

    2012-01-01

    We consider the problem of constructing a communication infrastructure from scratch, for a collection of identical wireless nodes. Combinatorially, this means a) finding a set of links that form a strongly connected spanning graph on a set of $n$ points in the plane, and b) scheduling it efficiently in the SINR model of interference. The nodes must converge on a solution in a distributed manner, having no means of communication beyond the sole wireless channel. We give distributed connectivity algorithms that run in time $O(poly(\\log \\Delta, \\log n))$, where $\\Delta$ is the ratio between the longest and shortest distances among nodes. Given that algorithm without prior knowledge of the instance are essentially limited to using uniform power, this is close to best possible. Our primary aim, however, is to find efficient structures, measured in the number of slots used in the final schedule of the links. Our main result is algorithms that match the efficiency of centralized solutions. Specifically, the networks...

  9. Optimal Control of Transient Flow in Natural Gas Networks

    E-Print Network [OSTI]

    Zlotnik, Anatoly; Backhaus, Scott

    2015-01-01

    We outline a new control system model for the distributed dynamics of compressible gas flow through large-scale pipeline networks with time-varying injections, withdrawals, and control actions of compressors and regulators. The gas dynamics PDE equations over the pipelines, together with boundary conditions at junctions, are reduced using lumped elements to a sparse nonlinear ODE system expressed in vector-matrix form using graph theoretic notation. This system, which we call the reduced network flow (RNF) model, is a consistent discretization of the PDE equations for gas flow. The RNF forms the dynamic constraints for optimal control problems for pipeline systems with known time-varying withdrawals and injections and gas pressure limits throughout the network. The objectives include economic transient compression (ETC) and minimum load shedding (MLS), which involve minimizing compression costs or, if that is infeasible, minimizing the unfulfilled deliveries, respectively. These continuous functional optimiza...

  10. Optimal Distributed Voltage Regulation in Power Distribution Networks

    E-Print Network [OSTI]

    Lam, Albert Y S; Dominguez-Garcia, Alejandro; Tse, David

    2012-01-01

    In this paper, we address the problem of voltage regulation in power distribution networks with deep-penetration of distributed energy resources (DERs), e.g., renewable-based generation, and storage-capable loads such as plug-in hybrid electric vehicles. We cast the problem as an optimization program, where the objective is to minimize the losses in the network subject to constraints on bus voltage magnitudes, limits on active and reactive power injections, transmission line thermal limits and losses. We provide sufficient conditions under which the optimization problem can be solved via its convex relaxation. Using data from existing networks, we show that the conditions are expected to be satisfied by most networks. We also provide an efficient distributed algorithm to solve the problem. The algorithm is asynchronous, with a communication topology that is the same as the electrical network topology. We illustrate the algorithm's performance in the IEEE 34-bus and the 123-bus feeder test systems.

  11. Resilient Networked Control of Distributed Energy Resources

    E-Print Network [OSTI]

    Hadjicostis, Christoforos

    of algorithms to the problem of coordinating distributed energy resources (DERs) for service provision to them as distributed energy resources (DERs)] provides more flexibility in the provision of ancillary1 Resilient Networked Control of Distributed Energy Resources Alejandro D. Dominguez-Garcia, Member

  12. Innovation flow through social networks: Productivity distribution

    E-Print Network [OSTI]

    T. Di Matteo; T. Aste; M. Gallegati

    2004-06-19

    A detailed empirical analysis of the productivity of non financial firms across several countries and years shows that productivity follows a non-Gaussian distribution with power law tails. We demonstrate that these empirical findings can be interpreted as consequence of a mechanism of exchanges in a social network where firms improve their productivity by direct innovation or/and by imitation of other firm's technological and organizational solutions. The type of network-connectivity determines how fast and how efficiently information can diffuse and how quickly innovation will permeate or behaviors will be imitated. From a model for innovation flow through a complex network we obtain that the expectation values of the productivity level are proportional to the connectivity of the network of links between firms. The comparison with the empirical distributions reveals that such a network must be of a scale-free type with a power-law degree distribution in the large connectivity range.

  13. Voltage Management of Networks with Distributed Generation. 

    E-Print Network [OSTI]

    O'Donnell, James

    2008-01-01

    At present there is much debate about the impacts and benefits of increasing the amount of generation connected to the low voltage areas of the electricity distribution network. The UK government is under political ...

  14. Neural network approach to parton distributions fitting

    E-Print Network [OSTI]

    Andrea Piccione; Joan Rojo; for the NNPDF Collaboration

    2005-10-18

    We will show an application of neural networks to extract information on the structure of hadrons. A Monte Carlo over experimental data is performed to correctly reproduce data errors and correlations. A neural network is then trained on each Monte Carlo replica via a genetic algorithm. Results on the proton and deuteron structure functions, and on the nonsinglet parton distribution will be shown.

  15. On parton distributions in a photon gas

    E-Print Network [OSTI]

    I. Alikhanov

    2009-06-19

    In some cases it may be useful to know parton distributions in a photon gas. This may be relevant, e.g., for the analysis of interactions of high energy cosmic ray particles with the cosmic microwave background radiation. The latter can be considered as a gas of photons with an almost perfect blackbody spectrum. An approach to finding such parton distributions is described. The survival probability of ultra-high energy neutrinos traveling through this radiation is calculated.

  16. Gas Network Optimization: A comparison of Piecewise Linear Models

    E-Print Network [OSTI]

    2014-06-22

    Gas network optimization manages the gas transport by minimizing operating costs and .... This problem represents the transportation process of natural gas. 79.

  17. Properties of real networks: degree distribution

    E-Print Network [OSTI]

    Albert, Réka

    Properties of real networks: degree distribution Nodes with small degrees are most frequent of functions and not degree distributions 10 10 0 10 1 10 2 10 3 -4 10 -3 10 -2 10 -1 10 0 loglog .5 1 1 cx)x(f x c)x(f 50. cx)x(f #12;In- and out-degree distribution of the WWW 12 452 . . )( )( kkP kk

  18. Hierarchical Wireless Network Architecture for Distributed Applications Zeashan Hameed Khan

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Hierarchical Wireless Network Architecture for Distributed Applications Zeashan Hameed Khan Control-- This paper describes a hierarchical wireless network architecture for real time remote coordination, Distributed monitoring, QoS adaptation, Realtime coordination I. INTRODUCTION Wireless communication networks

  19. Proportional Integral Distributed Optimization for Dynamic Network Topologies

    E-Print Network [OSTI]

    Egerstedt, Magnus

    Proportional Integral Distributed Optimization for Dynamic Network Topologies Greg Droge, Magnus Egerstedt Abstract--This paper investigates proportional-integral distributed optimization when the underlying informa- tion exchange network is dynamic. Proportional-integral distributed optimization

  20. Natural Gas Pipeline Network: Changing and Growing

    Reports and Publications (EIA)

    1996-01-01

    This chapter focuses upon the capabilities of the national natural gas pipeline network, examining how it has expanded during this decade and how it may expand further over the coming years. It also looks at some of the costs of this expansion, including the environmental costs which may be extensive. Changes in the network as a result of recent regional market shifts are also discussed.

  1. Modeling Microbial Consortiums as Distributed Metabolic Networks

    E-Print Network [OSTI]

    Vallino, Joseph J.

    Modeling Microbial Consortiums as Distributed Metabolic Networks JOSEPH J. VALLINO Ecosystems living systems in combination with abiotic reactions process and cycle mass and energy on local, regional by microbial processes, and it appears to closely follow thermodynamic constraints in that electron acceptor (O

  2. Energy Balanced Chain in Distributed Sensor Networks

    E-Print Network [OSTI]

    Howitt, Ivan

    Energy Balanced Chain in Distributed Sensor Networks Ivan Howitt Electrical & Computer Engineering because of their higher traffic. This paper suggests an energy balanced chain (EBC) which can efficiently the energy balance optimization problem in terms of the segmentation space. By adjusting the transmission

  3. Blending Hydrogen into Natural Gas Pipeline Networks: A Review...

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

    extend from the Rocky Mountain region. This study assesses the potential to deliver hydrogen through the existing natural gas pipeline network as a hydrogen and natural gas...

  4. Panel 2, Hydrogen Delivery in the Natural Gas Pipeline Network

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

    in the Natural Gas Pipeline Network DOE'S HYDROGEN ENERGY STORAGE FOR GRID AND TRANSPORTATION SERVICES WORKSHOP Sacramento, CA May 14, 2014 Brian Weeks Gas Technology Institute 2 2...

  5. Voltage Control of Distribution Networks with Distributed Generation using Reactive Power

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    , photovoltaics, and synchronous generators. I. INTRODUCTION Penetration of DG into distribution network in terms of voltage profile improvement, line-loss reduction, and environmental impact reductionVoltage Control of Distribution Networks with Distributed Generation using Reactive Power

  6. REAL-TIME OPTIMIZATION FOR AIR LIQUIDE GAS PIPELINES NETWORK

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    REAL-TIME OPTIMIZATION FOR AIR LIQUIDE GAS PIPELINES NETWORK Yash Puranik and Nick Sahinidis (CMU pipelines connecting air separation units and consumers Consumer Consumer O2 network N2 network #12

  7. Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks

    E-Print Network [OSTI]

    Pratt, Vaughan

    Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks Andreas Abstract: The problem of deploying sensors in a large water distribution network is considered, in order water--exhibits an important diminishing returns effect called submodularity. The submodularity

  8. GDMN : An Information Management Network for Distributed Systems

    E-Print Network [OSTI]

    Sengupta, Raja

    GDMN : An Information Management Network for Distributed Systems Amit Mahajan {amahajan from the system. 1 Introduction There are many systems that produce and con- sume information at many sites distributed over large geographical areas. Battlefield networks, traffic management systems

  9. Distributed Medium Access Control for Next Generation CDMA Wireless Networks

    E-Print Network [OSTI]

    Zhuang, Weihua

    Distributed Medium Access Control for Next Generation CDMA Wireless Networks Hai Jiang, Princeton wireless networks are expected to have a simple infrastructure with distributed control. In this article, we consider a generic distributed network model for future wireless multi- media communications

  10. Energy Scaling Laws for Distributed Inference in Random Fusion Networks

    E-Print Network [OSTI]

    Yukich, Joseph E.

    1 Energy Scaling Laws for Distributed Inference in Random Fusion Networks Animashree Anandkumar Abstract--The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors distributed i.i.d. according to a general spatial

  11. EIA - Natural Gas Pipeline Network - Underground Natural Gas Storage

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/SPipeline UtilizationNetwork Map About

  12. EIA - Natural Gas Pipeline Network - Underground Natural Gas Storage

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/SPipeline UtilizationNetwork Map

  13. EIA - Natural Gas Pipeline Network - Underground Natural Gas Storage

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/SPipeline UtilizationNetwork MapFacilities

  14. EIA - Natural Gas Pipeline Network - Network Configuration & System Design

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728ConfigurationListNetwork

  15. Distributed Control of Networked Dynamical Systems: Static Feedback,

    E-Print Network [OSTI]

    Dimarogonas, Dimos

    1 Distributed Control of Networked Dynamical Systems: Static Feedback, Integral Action--This paper analyzes distributed control protocols for first- and second-order networked dynamical systems. We systems. The PI controllers successfully attenuate constant disturbances in the network. We prove

  16. Distributed Mobility Management for Target Tracking in Mobile Sensor Networks

    E-Print Network [OSTI]

    Chakrabarty, Krishnendu

    --Wireless mobile sensor networks, mobility management, target tracking, Bayesian, distributed system. Ç 1 of scarce resources, such as energy and network bandwidth. Furthermore, the mobility management schemeDistributed Mobility Management for Target Tracking in Mobile Sensor Networks Yi Zou, Member, IEEE

  17. Energy Distribution Control in Wireless Sensor Networks Through Range Optimization

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    Energy Distribution Control in Wireless Sensor Networks Through Range Optimization M.Sarper Gokturk--A major objective in wireless sensor networks is to find optimum routing strategies for energy efficient a location-based routing framework to control the energy distribution in a network where transmission ranges

  18. Optimization for Design and Operation of Natural Gas Transmission Networks 

    E-Print Network [OSTI]

    Dilaveroglu, Sebnem 1986-

    2012-08-22

    This study addresses the problem of designing a new natural gas transmission network or expanding an existing network while minimizing the total investment and operating costs. A substantial reduction in costs can be ...

  19. Distributed Energy-Efficient Hierarchical Clustering for Wireless Sensor Networks

    E-Print Network [OSTI]

    Holliday, JoAnne

    Distributed Energy-Efficient Hierarchical Clustering for Wireless Sensor Networks Ping Ding, Jo important. In this paper, we propose a distributed weight-based energy-efficient hierarchical clustering of the network topology. Younis and Fahmy [4] propose a Hybrid Energy-Efficient Distributed clustering (HEED

  20. Distributed shared memory multiprocessors using multistage bus networks 

    E-Print Network [OSTI]

    Iyer, Ravishankar

    1996-01-01

    Distributed shared memory (DSM) multiprocessors rely heavily on the interconnection network performance. The Multistage Bus Network (MBN) is analyzed in this thesis for a DSM environment. The MBN avoids some of the shortcomings of the conventional...

  1. Model documentation: Natural gas transmission and distribution model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1995-02-17

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of integrated Analysis and Forecasting of the Energy information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The methodology employed allows the analysis of impacts of regional capacity constraints in the interstate natural gas pipeline network and the identification of pipeline capacity expansion requirements. There is an explicit representation of core and noncore markets for natural gas transmission and distribution services, and the key components of pipeline tariffs are represented in a pricing algorithm. Natural gas pricing and flow patterns are derived by obtaining a market equilibrium across the three main elements of the natural gas market: the supply element, the demand element, and the transmission and distribution network that links them. The NGTDM consists of four modules: the Annual Flow Module, the Capacity F-expansion Module, the Pipeline Tariff Module, and the Distributor Tariff Module. A model abstract is provided in Appendix A.

  2. Oil and Gas CDT Gas hydrate distribution on tectonically active continental

    E-Print Network [OSTI]

    Henderson, Gideon

    Oil and Gas CDT Gas hydrate distribution on tectonically active continental margins: Impact on gas. Gregory F. Moore, University of Hawaii (USA) http://www.soest.hawaii.edu/moore/ Key Words Gas Hydrates, Faults, Fluid Flow, gas prospectivity Overview Fig. 1. Research on gas hydrates is often undertaken

  3. Gas Distribution Modeling using Sparse Gaussian Process Mixture Models

    E-Print Network [OSTI]

    Teschner, Matthias

    Gas Distribution Modeling using Sparse Gaussian Process Mixture Models Cyrill Stachniss1 Christian-- In this paper, we consider the problem of learning a two dimensional spatial model of a gas distribution with a mobile robot. Building maps that can be used to accurately predict the gas concentration at query

  4. Dynamic Optimization in Gas Pipeline Networks EWO MEETING, Spring 2012

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    , consumers and compressor stations Compressor Stations Processing Plants Customers 3 Suppliers: Continuous flow of gas into network. Customers: Chemical industries, Power plants, Residential/commercial heating: Flow demands must be satisfied at a contract pressure. Compressor Stations: Compression of gas

  5. Network coding for distributed quantum computation over cluster and butterfly networks

    E-Print Network [OSTI]

    Seiseki Akibue; Mio Murao

    2015-03-26

    To apply network coding for quantum computation, we study the distributed implementation of unitary operations over all separated input and output nodes of quantum networks. We consider a setting of networks where quantum communication between nodes is restricted to sending just a qubit, but classical communication is unrestricted. We analyze which N-qubit unitary operations are implementable over cluster networks by investigating transformations of a given cluster network into quantum circuits. We show that any two-qubit unitary operation is implementable over the butterfly network and the grail network, which are fundamental primitive networks for classical network coding. We also analyze probabilistic implementations of unitary operations over cluster networks.

  6. Sensor Networks for Monitoring and Control of Water Distribution Systems

    E-Print Network [OSTI]

    Whittle, Andrew

    Water distribution systems present a significant challenge for structural monitoring. They comprise a complex network of pipelines buried underground that are relatively inaccessible. Maintaining the integrity of these ...

  7. Greening the Networks of Large-Scale Distributed Systems

    E-Print Network [OSTI]

    Lefèvre, Laurent

    -tier fat-tree architecture Energy savings of Green compared to No off : - 73% for a 20% workload - 68Greening the Networks of Large-Scale Distributed Systems ENS de Lyon ­ INRIA RESO ­ UCBL ­ LIP://perso.ens-lyon.fr/annececile.orgerie/networks.html HERMES : High-level Energy-awaRe Model for bandwidth reservation in End-to-end NetworkS · Unused network

  8. Interconnecting PV on New York City's Secondary Network Distribution System

    SciTech Connect (OSTI)

    Anderson, K.; Coddington, M.; Burman, K.; Hayter, S.; Kroposki, B.; Watson, A.

    2009-12-01

    This study describes technical assistance provided by NREL to help New York City and Con Edison improve the interconnection of distributed PV systems on a secondary network distribution system.

  9. ,"Rhode Island Natural Gas Pipeline and Distribution Use Price...

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

    ies","Frequency","Latest Data for" ,"Data 1","Rhode Island Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  10. ,"New Jersey Natural Gas Pipeline and Distribution Use Price...

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

    eries","Frequency","Latest Data for" ,"Data 1","New Jersey Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  11. ,"North Carolina Natural Gas Pipeline and Distribution Use Price...

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

    s","Frequency","Latest Data for" ,"Data 1","North Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  12. ,"North Dakota Natural Gas Pipeline and Distribution Use Price...

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

    ies","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  13. ,"New Hampshire Natural Gas Pipeline and Distribution Use Price...

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

    es","Frequency","Latest Data for" ,"Data 1","New Hampshire Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  14. ,"New Mexico Natural Gas Pipeline and Distribution Use Price...

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

    eries","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  15. ,"New York Natural Gas Pipeline and Distribution Use Price (Dollars...

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

    Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  16. Universal Distribution of Saliencies for Pruning in Layered Neural Networks

    E-Print Network [OSTI]

    Lautrup, Benny

    Universal Distribution of Saliencies for Pruning in Layered Neural Networks J. Gorodkin y, L. K learning in layered neural networks is a two stage process. A choice of architecture leads to the implicit is implementable in a neural network representation.12 xPermanent address: Department of Physiology and Institute

  17. Brief Announcement: Distributed Churn Measurement in Arbitrary Networks

    E-Print Network [OSTI]

    Gramoli, Vincent

    Brief Announcement: Distributed Churn Measurement in Arbitrary Networks Vincent Gramoli EPFL & Univ; General Terms: Algorithms Keywords: Churn, Dynamics, Gossip, Large-Scale 1. INTRODUCTION & MODEL We adress the problem of estimating in a fully distributed way the dynamism over a network, called the churn. This BA

  18. EIA - Natural Gas Pipeline Network - Natural Gas Supply Basins...

    Gasoline and Diesel Fuel Update (EIA)

    with selected updates U.S. Natural Gas Supply Basins Relative to Major Natural Gas Pipeline Transportation Corridors, 2008 U.S. Natural Gas Transporation Corridors out of Major...

  19. Distributed Hydrogen Production from Natural Gas: Independent...

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

    information concerning the technologies needed for forecourts producing 150 kgday of hydrogen from natural gas. 40382.pdf More Documents & Publications H2A Delivery: Miscellaneous...

  20. EIA - Natural Gas Pipeline Network - U.S. Natural Gas Pipeline Network Map

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/SPipeline UtilizationNetwork Map About U.S.

  1. Synchronization of networks of oscillators with distributed delay coupling

    E-Print Network [OSTI]

    Y. N. Kyrychko; K. B. Blyuss; E. Schoell

    2014-10-27

    This paper studies the stability of synchronized states in networks where couplings between nodes are characterized by some distributed time delay, and develops a generalized master stability function approach. Using a generic example of Stuart-Landau oscillators, it is shown how the stability of synchronized solutions in networks with distributed delay coupling can be determined through a semi-analytic computation of Floquet exponents. The analysis of stability of fully synchronized and of cluster or splay states is illustrated for several practically important choices of delay distributions and network topologies.

  2. Networked Loads in the Distribution Grid

    E-Print Network [OSTI]

    Wang, Zhifang; Li, Xiao; Muthukumar, Vishak; Scaglione, Anna; Peisert, Sean; McParland, Chuck

    2012-01-01

    is structured according to the SCADA model. Although thea prototypical instance of SCADA network in the distributionservers that are part of a SCADA system, which has grown in

  3. Blending Hydrogen into Natural Gas Pipeline Networks: A Review...

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

    Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key Issues M. W. Melaina, O. Antonia, and M. Penev Technical Report NRELTP-5600-51995 March 2013 NREL is a...

  4. Agenda: Natural Gas: Transmission, Storage and Distribution ...

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

    Tim Murphy, U.S. House of Representatives (PA-18) 10:30 AM - 11:30 AM- Panel 1: Natural Gas Infrastructure: Historical Overview and Current Status Thomas Murphy, Co-Director,...

  5. Scalable Distributed Control of Network of DERs

    E-Print Network [OSTI]

    Engineering Caltech December 2012 #12;Large active network of DERs DER: PVs, wind turbines, batteries, EVs, DR Large active network of DERs DER: PVs, wind turbines, FACTS, EVs, batteries, DR loads #12;Outline But .... (caveat) #12;Watershed moment Bell: telephone 1876 Tesla: multi-phase AC 1888 Both started as natural

  6. Study of distributed Fair Scheduling in wireless local area networks 

    E-Print Network [OSTI]

    Gupta, Seema

    2000-01-01

    A Fair Scheduling policy is required to support differentiated QoS requirements of contending flows in a wireless channel. This thesis presents a study of the Distributed Fair Scheduling (DFS) algorithm proposed for wireless Local Area Networks...

  7. SMPL : a network architecture for collaborative distributed services

    E-Print Network [OSTI]

    Rocha, Carols A. (Carlos Andres Rocha Penagos)

    2005-01-01

    This thesis proposes a network architecture, called SMPL, for the design and development of collaboration-oriented, distributed applications over the Internet. The goal of SMPL is to enable the development of applications ...

  8. Detecting Disruptive Routers: A Distributed Network Monitoring Kirk A. Bradley

    E-Print Network [OSTI]

    Yoo, S. J. Ben

    Detecting Disruptive Routers: A Distributed Network Monitoring Approach Kirk A. Bradley Steven of this work in other works must be obtained from the IEEE. Kirk Bradley's current a liation is SRI

  9. Integrity and access control in untrusted content distribution networks

    E-Print Network [OSTI]

    Fu, Kevin E. (Kevin Edward), 1976-

    2005-01-01

    A content distribution network (CDN) makes a publisher's content highly available to readers through replication on remote computers. Content stored on untrusted servers is susceptible to attack, but a reader should have ...

  10. Determining Vision Graphs for Distributed Camera Networks Using Feature Digests

    E-Print Network [OSTI]

    Radke, Rich

    1 Determining Vision Graphs for Distributed Camera Networks Using Feature Digests Zhaolin Cheng and the length of each feature descriptor are substantially reduced to form a fixed-length "feature digest" that is broadcast to the rest of the network. Each receiver camera decompresses the feature digest to recover

  11. Architecture of the Secoqc Quantum Key Distribution network

    E-Print Network [OSTI]

    Mehrdad Dianati; Romain Alleaume

    2006-10-25

    The European projet Secoqc (Secure Communication based on Quantum Cryptography) aims at developing a global network for unconditionally secure key distribution. This paper specifies the requirements and presents the principles guiding the design of this network, and relevant to its architecture and protocols.

  12. A Distributed Public Key Caching Scheme in Large Wireless Networks

    E-Print Network [OSTI]

    Deng, Jing

    -constrained, in terms of computational power, battery energy, and on-board memory space. For example, the prototypeA Distributed Public Key Caching Scheme in Large Wireless Networks Yuan Kong Jing Deng Stephen R in wireless networks, the public keys of the nodes need to be widely available and signed by a Certificate

  13. Distributed Uplink Scheduling in EV-DO Rev. A Networks

    E-Print Network [OSTI]

    Guerin, Roch

    Distributed Uplink Scheduling in EV-DO Rev. A Networks Ashwin Sridharan (Sprint Nextel) Ramesh Subbaraman, Roch Guérin (ESE, University of Pennsylvania) #12;5/23/2007 Networking 2007 - Atlanta 2 Overview of Problem · Most modern wireless systems ­ Deliver high performance through tight control of transmissions

  14. Degree-distribution stability of scale-free networks

    E-Print Network [OSTI]

    Zhenting Hou; Xiangxing Kong; Dinghua Shi; Guanrong Chen

    2008-05-09

    Based on the concept and techniques of first-passage probability in Markov chain theory, this letter provides a rigorous proof for the existence of the steady-state degree distribution of the scale-free network generated by the Barabasi-Albert (BA) model, and mathematically re-derives the exact analytic formulas of the distribution. The approach developed here is quite general, applicable to many other scale-free types of complex networks.

  15. PERCOLATION ON GRAIN BOUNDARY NETWORKS: APPLICATION TO FISSION GAS RELEASE IN NUCLEAR FUELS

    SciTech Connect (OSTI)

    Paul C. Millett

    2012-02-01

    The percolation behavior of grain boundary networks is characterized in two- and three-dimensional lattices with circular macroscale cross-sections that correspond to nuclear fuel elements. The percolation of gas bubbles on grain boundaries, and the subsequent percolation of grain boundary networks is the primary mechanism of fission gas release from nuclear fuels. Both radial cracks and radial gradients in grain boundary property distributions are correlated with the fraction of grain boundaries vented to the free surfaces. Our results show that cracks surprisingly do not significantly increase the percolation of uniform grain boundary networks. However, for networks with radial gradients in boundary properties, the cracks can considerably raise the vented grain boundary content.

  16. Metal Oxide Semiconductor Gas Sensors and Neural Networks

    E-Print Network [OSTI]

    Siegel, Mel

    Olfaction Metal Oxide Semiconductor Gas Sensors and Neural Networks M. W. Siegel Carnegie Mellon around a chemical plant, sniffing as it goes for gas leaks (or the vapors of liquid leaks), navigating perhaps directed to the offending pipe fissure or open valve by acoustic homing toward the source

  17. Modeling the US Natural Gas Network James Ellison

    E-Print Network [OSTI]

    (CCGTs) are expected to provide the majority of power plant capacity additions for the next ten yearsModeling the US Natural Gas Network James Ellison Sandia National Laboratories, Critical Infrastructure Modeling and Simulation Group Abstract In order to better understand how the US natural gas

  18. Distributed services for mobile ad hoc networks 

    E-Print Network [OSTI]

    Cao, Guangtong

    2005-11-01

    by equipping each node with a device like a GPS receiver, a GPS receiver?s functionality is limited due to its geographical constraints, high energy consumption and cost. Therefore, studying clock synchronization algorithms for mobile ad hoc networks has 7... Network Lifetime vs. Number of Nodes : : : : : : : : : : : : : : : : : 61 24 Standard Deviation of Remaining Energy vs. Number of Nodes : : : 63 25 The k-Mutual Exclusion System Architecture : : : : : : : : : : : : : 71 26 Operation of KRL Algorithm on a...

  19. Designing pricing strategies for coordination of networked distributed energy resources

    E-Print Network [OSTI]

    Liberzon, Daniel

    Designing pricing strategies for coordination of networked distributed energy resources Bahman, by a group of distributed energy resources (DERs). The aggregator interacts with the wholesale electricity. The objective is for the aggregator to design a pricing strategy for incentivizing DERs to modify their active

  20. Distributed Minimum Energy Data Gathering and Aggregation in Sensor Networks

    E-Print Network [OSTI]

    Liang, Ben

    Distributed Minimum Energy Data Gathering and Aggregation in Sensor Networks Kevin Yuen, Baochun Li-- In this paper, we propose an effective distributed algorithm to solve the minimum energy data gathering (MEDG input packets into a single output packet. To achieve minimum energy data gathering, the optimal trans

  1. Multi-Level TESLA: Broadcast Authentication for Distributed Sensor Networks

    E-Print Network [OSTI]

    Ning, Peng

    Multi-Level µTESLA: Broadcast Authentication for Distributed Sensor Networks DONGGANG LIU and PENG named multi-level µTESLA based on µTESLA, a broadcast authentication protocol whose scalability is limited by its unicast-based initial parameter distribution. Multi-level µTESLA satisfies several nice

  2. EIA - Natural Gas Pipeline Network - Combined Natural Gas Transportation

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDieselPresentations, Testimony,Maps

  3. VALIDATION OF NOMINATIONS IN GAS NETWORK OPTIMIZATION ...

    E-Print Network [OSTI]

    2013-11-17

    in gas transportation, namely the validation of nomination problem: Given a ...... Mathematical Methods in Fluid Dynamics, volume 67 of Pitman Monographs.

  4. Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1998-01-01

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. Subsequent chapters of this report provide: an overview of NGTDM; a description of the interface between the NEMS and NGTDM; an overview of the solution methodology of the NGTDM; the solution methodology for the Annual Flow Module; the solution methodology for the Distributor Tariff Module; the solution methodology for the Capacity Expansion Module; the solution methodology for the Pipeline Tariff Module; and a description of model assumptions, inputs, and outputs.

  5. Smard Grid Software Applications for Distribution Network Load Forecasting Eugene A. Feinberg, Jun Fei

    E-Print Network [OSTI]

    Feinberg, Eugene A.

    of the distribution network. Keywords: load forecasting, feeder, transformer, load pocket, SmartGrid I. INTRODUCTION

  6. Natural Gas Pipeline & Distribution Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,222 2,389,991 2,480,107 2,473,618 2,407,38758,736

  7. Natural Gas Pipeline & Distribution Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,222 2,389,991 2,480,107 2,473,618

  8. Natural Gas Transmission and Distribution Module

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,222 2,389,991 2,480,107averagethe rest

  9. Alternative Fuels Data Center: Natural Gas Distribution

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center Home Page on Digglaws-incentivesFuels and VehiclesBenefits toGas

  10. Wireless Distributed Sensing and Computing in SDR based Radio Network -Implementation and

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    Wireless Distributed Sensing and Computing in SDR based Radio Network - Implementation building the large scale cognitive radio network in TTU(Tennessee Technological University), a wireless). This network demonstrates the combination of the wireless distributed sensing applications with corresponding

  11. Distributed Boundary Estimation using Sensor Networks

    E-Print Network [OSTI]

    Ramamritham, Krithi

    where such boundaries need to be detected include monitoring the spread of toxic gases [1], oil spills in oceans [2], or even tracking storm cloud front. Oil companies are interested in deploying off-shore sensor networks to monitor the area where oil spills normally happen. The focus in these cases

  12. Analyzing Natural Gas Based Hydrogen Infrastructure - Optimizing Transitions from Distributed to Centralized H2 Production

    E-Print Network [OSTI]

    Yang, Christopher; Ogden, Joan M

    2005-01-01

    17. Parker, N. , Using Natural Gas Transmission PipelineANALYZING NATURAL GAS BASED HYDROGEN INFRASTRUCTURE –distribution infrastructure (natural gas and electricity)

  13. Neural network determination of parton distributions: the nonsinglet case

    E-Print Network [OSTI]

    The NNPDF Collaboration; Luigi Del Debbio; Stefano Forte; Jose I. Latorre; Andrea Piccione; Joan Rojo

    2007-01-16

    We provide a determination of the isotriplet quark distribution from available deep--inelastic data using neural networks. We give a general introduction to the neural network approach to parton distributions, which provides a solution to the problem of constructing a faithful and unbiased probability distribution of parton densities based on available experimental information. We discuss in detail the techniques which are necessary in order to construct a Monte Carlo representation of the data, to construct and evolve neural parton distributions, and to train them in such a way that the correct statistical features of the data are reproduced. We present the results of the application of this method to the determination of the nonsinglet quark distribution up to next--to--next--to--leading order, and compare them with those obtained using other approaches.

  14. Greenhouse Gas Abatement with Distributed Generation in California's Commercial Buildings

    SciTech Connect (OSTI)

    Marnay, Chris; Stadler, Michael; Lipman, Tim; Lai, Judy; Cardoso, Goncalo; Megel, Olivier

    2009-09-01

    The motivation and objective of this research is to determine the role of distributed generation (DG) in greenhouse gas reductions by: (1) applying the Distributed Energy Resources Customer Adoption Model (DER-CAM); (2) using the California Commercial End-Use Survey (CEUS) database for commercial buildings; (3) selecting buildings with electric peak loads between 100 kW and 5 MW; (4) considering fuel cells, micro-turbines, internal combustion engines, gas turbines with waste heat utilization, solar thermal, and PV; (5) testing of different policy instruments, e.g. feed-in tariff or investment subsidies.

  15. Interconnecting PV on New York City's Secondary Network Distribution System

    SciTech Connect (OSTI)

    K. Anderson; M. Coddington; K. Burman; S. Hayter; B. Kroposki; and A. Watson

    2009-11-30

    The U.S. Department of Energy (DOE) has teamed with cities across the country through the Solar America Cities (SAC) partnership program to help reduce barriers and accelerate implementation of solar energy. The New York City SAC team is a partnership between the City University of New York (CUNY), the New York City Mayor s Office of Long-term Planning and Sustainability, and the New York City Economic Development Corporation (NYCEDC).The New York City SAC team is working with DOE s National Renewable Energy Laboratory (NREL) and Con Edison, the local utility, to develop a roadmap for photovoltaic (PV) installations in the five boroughs. The city set a goal to increase its installed PV capacity from1.1 MW in 2005 to 8.1 MW by 2015 (the maximum allowed in 2005). A key barrier to reaching this goal, however, is the complexity of the interconnection process with the local utility. Unique challenges are associated with connecting distributed PV systems to secondary network distribution systems (simplified to ���¢��������networks���¢������� in this report). Although most areas of the country use simpler radial distribution systems to distribute electricity, larger metropolitan areas like New York City typically use networks to increase reliability in large load centers. Unlike the radial distribution system, where each customer receives power through a single line, a network uses a grid of interconnected lines to deliver power to each customer through several parallel circuits and sources. This redundancy improves reliability, but it also requires more complicated coordination and protection schemes that can be disrupted by energy exported from distributed PV systems. Currently, Con Edison studies each potential PV system in New York City to evaluate the system s impact on the network, but this is time consuming for utility engineers and may delay the customer s project or add cost for larger installations. City leaders would like to streamline this process to facilitate faster, simpler, and less expensive distributed PV system interconnections. To assess ways to improve the interconnection process, NREL conducted a four-part study with support from DOE. The NREL team then compiled the final reports from each study into this report. In Section 1���¢��������PV Deployment Analysis for New York City���¢��������we analyze the technical potential for rooftop PV systems in the city. This analysis evaluates potential PV power production in ten Con Edison networks of various locations and building densities (ranging from high density apartments to lower density single family homes). Next, we compare the potential power production to network loads to determine where and when PV generation is most likely to exceed network load and disrupt network protection schemes. The results of this analysis may assist Con Edison in evaluating future PV interconnection applications and in planning future network protection system upgrades. This analysis may also assist other utilities interconnecting PV systems to networks by defining a method for assessing the technical potential of PV in the network and its impact on network loads. Section 2���¢��������A Briefing for Policy Makers on Connecting PV to a Network Grid���¢��������presents an overview intended for nontechnical stakeholders. This section describes the issues associated with interconnecting PV systems to networks, along with possible solutions. Section 3���¢��������Technical Review of Concerns and Solutions to PV Interconnection in New Y

  16. Properties of real networks: degree distribution

    E-Print Network [OSTI]

    Albert, Réka

    . Nakarado, Phys. Rev. E 69, 025103(R) (2004) nodes: generators, power stations edges: power lines )KPlotting power laws and exponentials exp 1- = cx)x(f x c)x(f - = 50. cx)x(f - = #12;The in- and out-degree distribution of the WWW are power-laws 12 452 . . )( )( - - kkP kkP in out R. Albert, H. Jeong, A

  17. EIA - Natural Gas Pipeline Network - Intrastate Natural Gas Pipeline

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728Configuration AquiferDevelopment

  18. EIA - Natural Gas Pipeline Network - Largest Natural Gas Pipeline Systems

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728Configuration

  19. EIA - Natural Gas Pipeline Network - Natural Gas Pipeline Mileage by

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728ConfigurationList Pipelines

  20. EIA - Natural Gas Pipeline Network - Natural Gas Transmission Path Diagram

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728ConfigurationList

  1. EIA - Natural Gas Pipeline Network - Generalized Natural Gas Pipeline

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1--Electronic860‹‹Capacity

  2. EIA - Natural Gas Pipeline Network - Major Natural Gas Transportation

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S TheEnergyEnergy

  3. EIA - Natural Gas Pipeline Network - Natural Gas Pipeline Compressor

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S TheEnergyEnergyMap

  4. EIA - Natural Gas Pipeline Network - Natural Gas Pipeline Development &

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S TheEnergyEnergyMapExpansion

  5. EIA - Natural Gas Pipeline Network - Natural Gas Transportation Corridors

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S

  6. Asymmetry in In-Degree and Out-Degree Distributions of Large-Scale Industrial Networks

    E-Print Network [OSTI]

    Luo, Jianxi; Whitney, Daniel E.

    2015-01-01

    Network structures in industrial pricing: the effect ofrecession? ranking U.S. industrial sectors by the Power-of-distributions of large-scale industrial networks Jianxi Luo

  7. Primary Voltage Control in Active Distribution Networks via Broadcast Signals

    E-Print Network [OSTI]

    Diggavi, Suhas

    energy storage. We show that it is possible to use the same broadcast signal deployed for controlling) for real-time demand response developed by the authors in a previous contribution. We estimate the energy--Active distribution network, ancillary services, primary voltage control, electrical energy storage systems, broad

  8. Distribution Network Design: Selection and Sizing of Congested Connections

    E-Print Network [OSTI]

    Nagi, Rakesh

    promotions (i.e., seasonal) and regular demand. In response to this, at the strategic or aggregate level demand. Several multinational companies use distribution center networks in this manner. For example. For most fast moving consumer goods, demand patterns are quite erratic, being a function of both sales

  9. Modeling the Interplay Between Individual Behavior and Network Distributions

    E-Print Network [OSTI]

    Yang, Yang; Dong, Yuxiao; Mei, Qiaozhu; Johnson, Reid A; Chawla, Nitesh V

    2015-01-01

    It is well-known that many networks follow a power-law degree distribution; however, the factors that influence the formation of their distributions are still unclear. How can one model the connection between individual actions and network distributions? How can one explain the formation of group phenomena and their evolutionary patterns? In this paper, we propose a unified framework, M3D, to model human dynamics in social networks from three perspectives: macro, meso, and micro. At the micro-level, we seek to capture the way in which an individual user decides whether to perform an action. At the meso-level, we study how group behavior develops and evolves over time, based on individual actions. At the macro-level, we try to understand how network distributions such as power-law (or heavy-tailed phenomena) can be explained by group behavior. We provide theoretical analysis for the proposed framework, and discuss the connection of our framework with existing work. The framework offers a new, flexible way to e...

  10. Topic 5: Renewable Power 1Networking and Distributed Systems

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    in Smart Grid 3 · We are interested in power plants with low carbon footprint: · Both CO2 and CH4 in Smart Grid 5 · Carbon footprint is also defined for power plants: · Conventional coal combustion hasTopic 5: Renewable Power 1Networking and Distributed Systems Department of Electrical & Computer

  11. On Distributed Fault-Tolerant Detection in Wireless Sensor Networks

    E-Print Network [OSTI]

    Dong, Ming

    --Distributed event detection, fault tolerance, sensor fusion, energy-efficiency, wireless sensor networks. æ 1 to choose a proper neighborhood size n for a sensor node in fault correction such that the energy could to achieve better detection and better balance between detection accuracy and energy usage. Our work makes

  12. Effective Scheduling for Coded Distributed Storage in Wireless Sensor Networks

    E-Print Network [OSTI]

    Boucherie, Richard J.

    A distributed storage approach is proposed to access data reliably and to cope with node failures in wireless environments, the wireless sen- sor network is vulnerable to sensor device failures, and unreliable precisely, we address the following problem. Data is generated by a single sensor device and needs

  13. Joint physical and numerical modeling of water distribution networks.

    SciTech Connect (OSTI)

    Zimmerman, Adam; O'Hern, Timothy John; Orear, Leslie Jr.; Kajder, Karen C.; Webb, Stephen Walter; Cappelle, Malynda A.; Khalsa, Siri Sahib; Wright, Jerome L.; Sun, Amy Cha-Tien; Chwirka, J. Benjamin; Hartenberger, Joel David; McKenna, Sean Andrew; van Bloemen Waanders, Bart Gustaaf; McGrath, Lucas K.; Ho, Clifford Kuofei

    2009-01-01

    This report summarizes the experimental and modeling effort undertaken to understand solute mixing in a water distribution network conducted during the last year of a 3-year project. The experimental effort involves measurement of extent of mixing within different configurations of pipe networks, measurement of dynamic mixing in a single mixing tank, and measurement of dynamic solute mixing in a combined network-tank configuration. High resolution analysis of turbulence mixing is carried out via high speed photography as well as 3D finite-volume based Large Eddy Simulation turbulence models. Macroscopic mixing rules based on flow momentum balance are also explored, and in some cases, implemented in EPANET. A new version EPANET code was developed to yield better mixing predictions. The impact of a storage tank on pipe mixing in a combined pipe-tank network during diurnal fill-and-drain cycles is assessed. Preliminary comparison between dynamic pilot data and EPANET-BAM is also reported.

  14. Distributed Source Localization in Wireless Underground Sensor Networks

    E-Print Network [OSTI]

    Chen, Hongyang; Wang, Chen

    2011-01-01

    Node localization plays an important role in many practical applications of wireless underground sensor networks (WUSNs), such as finding the locations of earthquake epicenters, underground explosions, and microseismic events in mines. It is more difficult to obtain the time-difference-of-arrival (TDOA) measurements in WUSNs than in terrestrial wireless sensor networks because of the unfavorable channel characteristics in the underground environment. The robust Chinese remainder theorem (RCRT) has been shown to be an effective tool for solving the phase ambiguity problem and frequency estimation problem in wireless sensor networks. In this paper, the RCRT is used to robustly estimate TDOA or range difference in WUSNs and therefore improves the ranging accuracy in such networks. After obtaining the range difference, distributed source localization algorithms based on a diffusion strategy are proposed to decrease the communication cost while satisfying the localization accuracy requirement. Simulation results c...

  15. EIA - Natural Gas Pipeline Network - Regional Definitions

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/SPipeline Utilization &

  16. EIA - Natural Gas Pipeline Network - Regulatory Authorities

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/SPipeline Utilization &Overview

  17. Synchronous Ultra-Wide Band Wireless Sensors Networks for oil and gas exploration

    E-Print Network [OSTI]

    Savazzi, Stefano

    Synchronous Ultra-Wide Band Wireless Sensors Networks for oil and gas exploration Stefano Savazzi1 of new oil and gas reservoir. Seismic exploration requires a large number (500 ÷ 2000 nodes, MAC and network layer to develop wireless sensors networks tailored for oil (and gas) exploration

  18. Methodology The electricity generation and distribution network in the Western United States is

    E-Print Network [OSTI]

    Hall, Sharon J.

    Methodology The electricity generation and distribution network in the Western United States is comprised of power plants, electric utilities, electrical transformers, transmission and distribution infrastructure, etc. We conceptualize the system as a transportation network with resources (electricity

  19. ETM (Distribution Network Automation on 10 kV cable line stations...

    Open Energy Info (EERE)

    ETM (Distribution Network Automation on 10 kV cable line stations) (Smart Grid Project) Jump to: navigation, search Project Name ETM (Distribution Network Automation on 10 kV cable...

  20. Distributed Information Storage and Retrieval in 3D Sensor Networks with General Topologies

    E-Print Network [OSTI]

    Jin, Miao

    Yang, Miao Jin, Yao Zhao, and Hongyi Wu Abstract--Distributed in-network data-centric processing aims of the individual network nodes. Double-ruling based schemes support efficient in-network data-centric information distributed in-network data-centric processing schemes. In this research we propose a geographic location free

  1. Molecular Gas in Elliptical Galaxies: Distribution and Kinematics

    E-Print Network [OSTI]

    L. M. Young

    2002-05-10

    I present interferometric images (approx. 7" resolution) of CO emission in five elliptical galaxies and nondetections in two others. These data double the number of elliptical galaxies whose CO emission has been fully mapped. The sample galaxies have 10^8 to 5x10^9 solar masses of molecular gas distributed in mostly symmetric rotating disks with diameters of 2 to 12 kpc. Four out of the five molecular disks show remarkable alignment with the optical major axes of their host galaxies. The molecular masses are a few percent of the total dynamical masses which are implied if the gas is on circular orbits. If the molecular gas forms stars, it will make rotationally supported stellar disks which will be very similar in character to the stellar disks now known to be present in many ellipticals. Comparison of stellar kinematics to gas kinematics in NGC 4476 implies that the molecular gas did not come from internal stellar mass loss because the specific angular momentum of the gas is about three times larger than that of the stars.

  2. Optimizing intermittent water supply in urban pipe distribution networks

    E-Print Network [OSTI]

    Lieb, Anna M; Wilkening, Jon

    2015-01-01

    In many urban areas of the developing world, piped water is supplied only intermittently, as valves direct water to different parts of the water distribution system at different times. The flow is transient, and may transition between free-surface and pressurized, resulting in complex dynamical features with important consequences for water suppliers and users. Here, we develop a computational model of transition, transient pipe flow in a network, accounting for a wide variety of realistic boundary conditions. We validate the model against several published data sets, and demonstrate its use on a real pipe network. The model is extended to consider several optimization problems motivated by realistic scenarios. We demonstrate how to infer water flow in a small pipe network from a single pressure sensor, and show how to control water inflow to minimize damaging pressure gradients.

  3. Distributed Fiber Optic Gas Sensing for Harsh Environment

    SciTech Connect (OSTI)

    Juntao Wu

    2008-03-14

    This report summarizes work to develop a novel distributed fiber-optic micro-sensor that is capable of detecting common fossil fuel gases in harsh environments. During the 32-month research and development (R&D) program, GE Global Research successfully synthesized sensing materials using two techniques: sol-gel based fiber surface coating and magnetron sputtering based fiber micro-sensor integration. Palladium nanocrystalline embedded silica matrix material (nc-Pd/Silica), nanocrystalline palladium oxides (nc-PdO{sub x}) and palladium alloy (nc-PdAuN{sub 1}), and nanocrystalline tungsten (nc-WO{sub x}) sensing materials were identified to have high sensitivity and selectivity to hydrogen; while the palladium doped and un-doped nanocrystalline tin oxide (nc-PdSnO{sub 2} and nc-SnO{sub 2}) materials were verified to have high sensitivity and selectivity to carbon monoxide. The fiber micro-sensor comprises an apodized long-period grating in a single-mode fiber, and the fiber grating cladding surface was functionalized by above sensing materials with a typical thickness ranging from a few tens of nanometers to a few hundred nanometers. GE found that the morphologies of such sensing nanomaterials are either nanoparticle film or nanoporous film with a typical size distribution from 5-10 nanometers. nc-PdO{sub x} and alloy sensing materials were found to be highly sensitive to hydrogen gas within the temperature range from ambient to 150 C, while nc-Pd/Silica and nc-WO{sub x} sensing materials were found to be suitable to be operated from 150 C to 500 C for hydrogen gas detection. The palladium doped and un-doped nc-SnO{sub 2} materials also demonstrated sensitivity to carbon monoxide gas at approximately 500 C. The prototyped fiber gas sensing system developed in this R&D program is based on wavelength-division-multiplexing technology in which each fiber sensor is identified according to its transmission spectra features within the guiding mode and cladding modes. The interaction between the sensing material and fossil fuel gas results in a refractive index change and optical absorption in the sensing layer. This induces mode coupling strength and boundary conditions changes and thereby shifts the central wavelengths of the guiding mode and cladding modes propagation. GE's experiments demonstrated that such an interaction between the fossil fuel gas and sensing material not only shifts the central wavelengths of the guide mode and cladding modes propagation, but also alters their power loss characteristics. The integrated fiber gas sensing system includes multiple fiber gas sensors, fiber Bragg grating-based temperature sensors, fiber optical interrogator, and signal processing software.

  4. A Multi Agent-Based Framework for Simulating Household PHEV Distribution and Electric Distribution Network Impact

    SciTech Connect (OSTI)

    Cui, Xiaohui [ORNL] [ORNL; Liu, Cheng [ORNL] [ORNL; Kim, Hoe Kyoung [ORNL] [ORNL; Kao, Shih-Chieh [ORNL] [ORNL; Tuttle, Mark A [ORNL] [ORNL; Bhaduri, Budhendra L [ORNL] [ORNL

    2011-01-01

    The variation of household attributes such as income, travel distance, age, household member, and education for different residential areas may generate different market penetration rates for plug-in hybrid electric vehicle (PHEV). Residential areas with higher PHEV ownership could increase peak electric demand locally and require utilities to upgrade the electric distribution infrastructure even though the capacity of the regional power grid is under-utilized. Estimating the future PHEV ownership distribution at the residential household level can help us understand the impact of PHEV fleet on power line congestion, transformer overload and other unforeseen problems at the local residential distribution network level. It can also help utilities manage the timing of recharging demand to maximize load factors and utilization of existing distribution resources. This paper presents a multi agent-based simulation framework for 1) modeling spatial distribution of PHEV ownership at local residential household level, 2) discovering PHEV hot zones where PHEV ownership may quickly increase in the near future, and 3) estimating the impacts of the increasing PHEV ownership on the local electric distribution network with different charging strategies. In this paper, we use Knox County, TN as a case study to show the simulation results of the agent-based model (ABM) framework. However, the framework can be easily applied to other local areas in the US.

  5. Complexity analysis of pipeline mapping problems in distributed heterogeneous networks

    SciTech Connect (OSTI)

    Lin, Ying; Wu, Qishi; Zhu, Mengxia; Rao, Nageswara S

    2009-04-01

    Largescale scientific applications require using various system resources to execute complex computing pipelines in distributed networks to support collaborative research. System resources are typically shared in the Internet or over dedicated connections based on their location, availability, capability, and capacity. Optimizing the network performance of computing pipelines in such distributed environments is critical to the success of these applications. We consider two types of largescale distributed applications: (1) interactive applications where a single dataset is sequentially processed along a pipeline; and (2) streaming applications where a series of datasets continuously flow through a pipeline. The computing pipelines of these applications consist of a number of modules executed in a linear order in network environments with heterogeneous resources under different constraints. Our goal is to find an efficient mapping scheme that allocates the modules of a pipeline to network nodes for minimum endtoend delay or maximum frame rate. We formulate the pipeline mappings in distributed environments as optimization problems and categorize them into six classes with different optimization goals and mapping constraints: (1) Minimum Endtoend Delay with No Node Reuse (MEDNNR), (2) Minimum Endtoend Delay with Contiguous Node Reuse (MEDCNR), (3) Minimum Endtoend Delay with Arbitrary Node Reuse (MEDANR), (4) Maximum Frame Rate with No Node Reuse or Share (MFRNNRS), (5) Maximum Frame Rate with Contiguous Node Reuse and Share (MFRCNRS), and (6) Maximum Frame Rate with Arbitrary Node Reuse and Share (MFRANRS). Here, 'contiguous node reuse' means that multiple contiguous modules along the pipeline may run on the same node and 'arbitrary node reuse' imposes no restriction on node reuse. Note that in interactive applications, a node can be reused but its resource is not shared. We prove that MEDANR is polynomially solvable and the rest are NP-complete. MEDANR, where either contiguous or noncontiguous modules in the pipeline can be mapped onto the same node, is essentially the Maximum n-hop Shortest Path problem, and can be solved using a dynamic programming method. In MEDNNR and MFRNNRS, any network node can be used only once, which requires selecting the same number of nodes for onetoone onto mapping. We show its NP-completeness by reducing from the Hamiltonian Path problem. Node reuse is allowed in MEDCNR, MFRCNRS and MFRANRS, which are similar to the Maximum n-hop Shortest Path problem that considers resource sharing. We prove their NP-completeness by reducing from the Disjoint-Connecting-Path Problem and Widest path with the Linear Capacity Constraints problem, respectively.

  6. Trenchless rehabilitation: Which choice for gas distribution pipe replacement?

    SciTech Connect (OSTI)

    Kramer, S.R. [Jason Consultants International, Washington, DC (United States); Gauthier, S.W. [Gas Research Inst., Chicago, IL (United States)

    1995-01-01

    Replacement or rehabilitation of deteriorating gas piping currently relies largely on open-cut excavation or pipe insertion. Open-cut replacement is satisfactory for communities where adverse environmental impact can be tolerated and road closures and traffic delays are kept to a minimum. However, most of the systems in need of replacement/rehabilitation are in urban areas where environmental impact, traffic delays, and site restoration costs are costly. With these parameters in mind, the Gas Research Institute (GRI); and its member organizations designed a research program to test and evaluate promising trenchless technologies for potential use in gas distribution rehabilitation projects. The programs`s goals were to identify product strengths, weaknesses, cost, applications, and recognition of areas which needed modification or further development. During this research a significant amount of data were gathered. All rehabilitation systems maximize pipe capacity while minimizing surface disruptions. Cost savings realized by some of the participating utilities was significant. This is even more impressive when one considers that this was the first gas installation for some of the methods. A summary of advantages, disadvantages, and lessons learned from each process is shown on Tables 2--6. Comments listed are for field trials conducted and may not be accurate or applicable to other projects. A common limitation of all rehabilitation methods is lack of a complete system with appropriate tees, fittings, transition materials, and other connection devices.

  7. The effect of initial gas content and distribution on the residual gas content of cores after waterflooding 

    E-Print Network [OSTI]

    Elliott, James Kelly

    1953-01-01

    THE EFFECT OF INITIAL GAS CONTENT AND DISTRIBUTION ON THE RESIDUAL GAS CONTENT OF CORES AFTER WATERF LOODING A Thesis By JAMES KELLY ELLIOTT Approved as to style and content by: hairman of Committ e THE EFFECT OF INITIAL GAS CONTENT... AND DISTRIBUTION ON THE RESIDUAL GAS CONTENT OF CORES AFTER WATERFLOODING By JAMES KELLY ELLIOTT A Thesis Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial fulfillment of the requirements for the degree...

  8. Natural Gas Value-Chain and Network Assessments

    SciTech Connect (OSTI)

    Kobos, Peter H.; Outkin, Alexander V.; Beyeler, Walter E.; Walker, LaTonya Nicole; Malczynski, Leonard A.; Myerly, Melissa M.; Vargas, Vanessa N.; Tenney, Craig M.; Borns, David J.

    2015-09-01

    The current expansion of natural gas (NG) development in the United States requires an understanding of how this change will affect the natural gas industry, downstream consumers, and economic growth in order to promote effective planning and policy development. The impact of this expansion may propagate through the NG system and US economy via changes in manufacturing, electric power generation, transportation, commerce, and increased exports of liquefied natural gas. We conceptualize this problem as supply shock propagation that pushes the NG system and the economy away from its current state of infrastructure development and level of natural gas use. To illustrate this, the project developed two core modeling approaches. The first is an Agent-Based Modeling (ABM) approach which addresses shock propagation throughout the existing natural gas distribution system. The second approach uses a System Dynamics-based model to illustrate the feedback mechanisms related to finding new supplies of natural gas - notably shale gas - and how those mechanisms affect exploration investments in the natural gas market with respect to proven reserves. The ABM illustrates several stylized scenarios of large liquefied natural gas (LNG) exports from the U.S. The ABM preliminary results demonstrate that such scenario is likely to have substantial effects on NG prices and on pipeline capacity utilization. Our preliminary results indicate that the price of natural gas in the U.S. may rise by about 50% when the LNG exports represent 15% of the system-wide demand. The main findings of the System Dynamics model indicate that proven reserves for coalbed methane, conventional gas and now shale gas can be adequately modeled based on a combination of geologic, economic and technology-based variables. A base case scenario matches historical proven reserves data for these three types of natural gas. An environmental scenario, based on implementing a $50/tonne CO 2 tax results in less proven reserves being developed in the coming years while demand may decrease in the absence of acceptable substitutes, incentives or changes in consumer behavior. An increase in demand of 25% increases proven reserves being developed by a very small amount by the end of the forecast period of 2025.

  9. GAS ANALYSIS SYSTEM COMPOSED OF A SOLID-STATE SENSOR ARRAY AND HYBRID NEURAL NETWORK

    E-Print Network [OSTI]

    Osowski, Stanislaw

    1 GAS ANALYSIS SYSTEM COMPOSED OF A SOLID-STATE SENSOR ARRAY AND HYBRID NEURAL NETWORK STRUCTURE of the solid state sensor array used for the gas analysis. The applied neural network is composed of two parts of the gas components. The obtained results have shown that the array of partially selective sensors

  10. Wireless sensor networks for off-shore oil and gas installations

    E-Print Network [OSTI]

    Gjessing, Stein

    1 Wireless sensor networks for off-shore oil and gas installations Martin Dalbro, Erik Eikeland ­ Underwater development and production of oil and gas needs networked sensors and actuators to monitor the production process, to either prevent or detect oil and gas leakage or to enhance the production flow

  11. Nano Sensor Networks for Tailored Operation of Highly Efficient Gas-To-Liquid Fuels Catalysts

    E-Print Network [OSTI]

    New South Wales, University of

    for converting natural gas to the liquid hydrocarbons [1]. However, the reaction is a complex network of manyNano Sensor Networks for Tailored Operation of Highly Efficient Gas-To-Liquid Fuels Catalysts Eisa 2052, Australia #12;Abstract Fischer-Tropsch synthesis, a major process for converting natural gas

  12. Blending Hydrogen into Natural Gas Pipeline Networks. A Review of Key Issues

    SciTech Connect (OSTI)

    Melaina, M. W.; Antonia, O.; Penev, M.

    2013-03-01

    This study assesses the potential to deliver hydrogen through the existing natural gas pipeline network as a hydrogen and natural gas mixture to defray the cost of building dedicated hydrogen pipelines. Blending hydrogen into the existing natural gas pipeline network has also been proposed as a means of increasing the output of renewable energy systems such as large wind farms.

  13. Distributed Motion Constraints for Algebraic Connectivity of Robotic Networks

    E-Print Network [OSTI]

    Schuresko, Michael; Cortés, Jorge

    2009-01-01

    E. : On synchronous robotic networks - Part I: models,a simulation environment for robotic networks. http://function associated to the robotic network. 2.1 The Graph

  14. DISTRIBUTED POSE AVERAGING IN CAMERA NETWORKS VIA CONSENSUS ON SE(3) Roberto Tron, Rene Vidal

    E-Print Network [OSTI]

    DISTRIBUTED POSE AVERAGING IN CAMERA NETWORKS VIA CONSENSUS ON SE(3) Roberto Tron, Ren´e Vidal distributed algorithms for esti- mating the average pose of an object viewed by a localized network of camera networks; pose estimation; consensus; optimization on manifolds. 1. INTRODUCTION Recent hardware

  15. DARD: Distributed Adaptive Routing for Datacenter Networks Dept. of Computer Science, Duke University

    E-Print Network [OSTI]

    Yang, Xiaowei

    DARD: Distributed Adaptive Routing for Datacenter Networks Xin Wu Dept. of Computer Science, Duke xwy@cs.duke.edu Abstract--Datacenter networks typically have many paths connecting each host pair, a Distributed Adaptive Routing architecture for Datacenter networks. DARD allows each end host to move traffic

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

    E-Print Network [OSTI]

    Plank, Jim

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

  17. Communicated by Rodney Brooks A Distributed Neural Network Architecture for Hexapod

    E-Print Network [OSTI]

    Beer, Randall D.

    Communicated by Rodney Brooks A Distributed Neural Network Architecture for Hexapod Robot present a fully distributed neural network architecture for control- ling the locomotion of a hexapod of Technology #12;Neural Network Architecturefor Hexapod Robot Locomotion 357 Figure 1: A comparison

  18. Method of fabricating an integral gas seal for fuel cell gas distribution assemblies

    DOE Patents [OSTI]

    Dettling, Charles J. (E. Hanover, NJ); Terry, Peter L. (Chathum, NJ)

    1988-03-22

    A porous gas distribution plate assembly for a fuel cell, such as a bipolar assembly, includes an inner impervious region wherein the bipolar assembly has good surface porosity but no through-plane porosity and wherein electrical conductivity through the impervious region is maintained. A hot-pressing process for forming the bipolar assembly includes placing a layer of thermoplastic sealant material between a pair of porous, electrically conductive plates, applying pressure to the assembly at elevated temperature, and allowing the assembly to cool before removing the pressure whereby the layer of sealant material is melted and diffused into the porous plates to form an impervious bond along a common interface between the plates holding the porous plates together. The distribution of sealant within the pores along the surface of the plates provides an effective barrier at their common interface against through-plane transmission of gas.

  19. Integral gas seal for fuel cell gas distribution assemblies and method of fabrication

    DOE Patents [OSTI]

    Dettling, Charles J. (E. Hanover, NJ); Terry, Peter L. (Chatham Township, Morris County, NJ)

    1985-03-19

    A porous gas distribution plate assembly for a fuel cell, such as a bipolar assembly, includes an inner impervious region wherein the bipolar assembly has good surface porosity but no through-plane porosity and wherein electrical conductivity through the impervious region is maintained. A hot-pressing process for forming the bipolar assembly includes placing a layer of thermoplastic sealant material between a pair of porous, electrically conductive plates, applying pressure to the assembly at elevated temperature, and allowing the assembly to cool before removing the pressure whereby the layer of sealant material is melted and diffused into the porous plates to form an impervious bond along a common interface between the plates holding the porous plates together. The distribution of sealant within the pores along the surface of the plates provides an effective barrier at their common interface against through-plane transmission of gas.

  20. Distributional properties of Euclidean distances in wireless networks involving road systems

    E-Print Network [OSTI]

    Schmidt, Volker

    1 Distributional properties of Euclidean distances in wireless networks involving road systems of large wireless networks. The network geometry is modelled by random geometric graphs, and the locations are closely related with the interference geometry and, consequently, the performance of wireless networks

  1. Greenhouse Gas Abatement with Distributed Generation in California's Commercial Buildings

    E-Print Network [OSTI]

    Marnay, Chris

    2010-01-01

    BERKELEY NATIONAL LABORATORY Greenhouse Gas Abatement withan equal opportunity employer. Greenhouse Gas Abatement withgeneration (DG) in greenhouse gas reductions by * a p p l y

  2. Distributed Network Monitoring using Mobile Agents Paradigm Farhad Kamangar, David Levine, Gergely V. Zruba, and Navakiran Chitturi

    E-Print Network [OSTI]

    Záruba, Gergely

    , servers and management agents. The network management load is equally distributed between managers monitoring and management has been done using predominantly centralized techniques. Mobile agents have been, Network Management, Mobile Agent, Java, Distributed, Dynamic, Network Modeling, Fault

  3. Radiation detection and situation management by distributed sensor networks

    SciTech Connect (OSTI)

    Jan, Frigo; Mielke, Angela; Cai, D Michael

    2009-01-01

    Detection of radioactive materials in an urban environment usually requires large, portal-monitor-style radiation detectors. However, this may not be a practical solution in many transport scenarios. Alternatively, a distributed sensor network (DSN) could complement portal-style detection of radiological materials through the implementation of arrays of low cost, small heterogeneous sensors with the ability to detect the presence of radioactive materials in a moving vehicle over a specific region. In this paper, we report on the use of a heterogeneous, wireless, distributed sensor network for traffic monitoring in a field demonstration. Through wireless communications, the energy spectra from different radiation detectors are combined to improve the detection confidence. In addition, the DSN exploits other sensor technologies and algorithms to provide additional information about the vehicle, such as its speed, location, class (e.g. car, truck), and license plate number. The sensors are in-situ and data is processed in real-time at each node. Relevant information from each node is sent to a base station computer which is used to assess the movement of radioactive materials.

  4. Continuous-time Proportional-Integral Distributed Optimization for Networked Systems

    E-Print Network [OSTI]

    Egerstedt, Magnus

    Continuous-time Proportional-Integral Distributed Optimization for Networked Systems Greg Drogea1;Continuous-time Proportional-Integral Distributed Optimization for Networked Systems Greg Droge and Hiroaki these methods to develop a continuous-time proportional-integral distributed optimization method. Furthermore

  5. Aalborg Universitet Distributed Secondary Control for Islanded MicroGrids A Networked Control Systems

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    Aalborg Universitet Distributed Secondary Control for Islanded MicroGrids ­ A Networked Control, Q., Vasquez, J. C., & Guerrero, J. M. (2012). Distributed Secondary Control for Islanded MicroGrids M.; , "Distributed secondary control for islanded MicroGrids - A networked control systems approach

  6. Tree-structured Data Regeneration with Network Coding in Distributed Storage Systems

    E-Print Network [OSTI]

    Li, Baochun

    Tree-structured Data Regeneration with Network Coding in Distributed Storage Systems Jun Li, Shuang of Toronto, Canada bli@eecg.toronto.edu Abstract--Distributed storage systems, built on peer-to-peer networks influence the data reliability and availability of distributed storage systems. It has been ac- knowledged

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

    E-Print Network [OSTI]

    Armbruster, Dieter

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

  8. Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key Issues

    Fuel Cell Technologies Publication and Product Library (EERE)

    This study assesses the potential to deliver hydrogen through the existing natural gas pipeline network as a hydrogen and natural gas mixture to defray the cost of building dedicated hydrogen pipeline

  9. FEL3330 Networked and Multi-Agent Control Lecture 11: Distributed Estimation

    E-Print Network [OSTI]

    Dimarogonas, Dimos

    FEL3330 Networked and Multi-Agent Control Systems Lecture 11: Distributed Estimation Distributed Estimation Distributed Localization FEL3330, Lecture 11 1 June 8, 2011 #12;Distributed Estimation is from the fact that P-1^x = HR-1 V y. FEL3330, Lecture 11 2 June 8, 2011 #12;Distributed Estimation Each

  10. Gas Distribution in Unventilated Indoor Environments Inspected by a Mobile Robot

    E-Print Network [OSTI]

    Zell, Andreas

    Gas Distribution in Unventilated Indoor Environments Inspected by a Mobile Robot Michael Wandel1@tech.oru.se Abstract Gas source localisation with robots is usually per- formed in environments with a strong in different environments, and the similarities as well as differences in the analyte gas distributions

  11. Large Scale Distribution of Stochastic Control Algorithms for Gas Storage Constantinos Makassikis, Stephane Vialle

    E-Print Network [OSTI]

    Vialle, Stéphane

    Large Scale Distribution of Stochastic Control Algorithms for Gas Storage Valuation Constantinos algorithm which is applied to gas storage valuation, and presents its experimental performances on two PC distribution allows to run gas storage val- uation models which require considerable amounts of com- putational

  12. Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key Issues

    SciTech Connect (OSTI)

    Melaina, M. W.; Antonia, O.; Penev, M.

    2013-03-01

    The United States has 11 distinct natural gas pipeline corridors: five originate in the Southwest, four deliver natural gas from Canada, and two extend from the Rocky Mountain region. This study assesses the potential to deliver hydrogen through the existing natural gas pipeline network as a hydrogen and natural gas mixture to defray the cost of building dedicated hydrogen pipelines.

  13. Consideration of Grain Size Distribution in the Diffusion of Fission Gas to Grain Boundaries

    SciTech Connect (OSTI)

    Paul C. Millett; Yongfeng Zhang; Michael R. Tonks; S. B. Biner

    2013-09-01

    We analyze the accumulation of fission gas on grain boundaries in a polycrystalline microstructure with a distribution of grain sizes. The diffusion equation is solved throughout the microstructure to evolve the gas concentration in space and time. Grain boundaries are treated as infinite sinks for the gas concentration, and we monitor the cumulative gas inventory on each grain boundary throughout time. We consider two important cases: first, a uniform initial distribution of gas concentration without gas production (correlating with post-irradiation annealing), and second, a constant gas production rate with no initial gas concentration (correlating with in-reactor conditions). The results show that a single-grain-size model, such as the Booth model, over predicts the gas accumulation on grain boundaries compared with a polycrystal with a grain size distribution. Also, a considerable degree of scatter, or variability, exists in the grain boundary gas accumulation when comparing all of the grain boundaries in the microstructure.

  14. Optimal reverse carpooling over wireless networks - a distributed optimization approach

    E-Print Network [OSTI]

    Parandehgheibi, Ali

    We focus on a particular form of network coding, reverse carpooling, in a wireless network where the potentially coded transmitted messages are to be decoded immediately upon reception. The network is fixed and known, and ...

  15. Entanglement distribution over quantum code-division-multiple-access networks

    E-Print Network [OSTI]

    Chang-long Zhu; Nan Yang; Yu-xi Liu; Franco Nori; Jing Zhang

    2015-07-09

    We present a method for quantum entanglement distribution over a so-called code-division-multiple-access network, in which two pairs of users share the same quantum channel to transmit information. The main idea of this method is to use different broad-band chaotic phase shifts, generated by electro-optic modulators (EOMs) and chaotic Colpitts circuits, to encode the information-bearing quantum signals coming from different users, and then recover the masked quantum signals at the receiver side by imposing opposite chaotic phase shifts. The chaotic phase shifts given to different pairs of users are almost uncorrelated due to the randomness of chaos and thus the quantum signals from different pair of users can be distinguished even when they are sent via the same quantum channel. It is shown that two maximally-entangled states can be generated between two pairs of users by our method mediated by bright coherent lights, which can be more easily implemented in experiments compared with single-photon lights. Our method is robust under the channel noises if only the decay rates of the information-bearing fields induced by the channel noises are not quite high. Our study opens up new perspectives for addressing and transmitting quantum information in future quantum networks.

  16. EIA - Natural Gas Pipeline Network - Regional/State Underground Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728ConfigurationListNetworkStorage

  17. Information Infrastructures in Distributed Environments: Algorithms for Mobile Networks and Resource Allocation 

    E-Print Network [OSTI]

    Chung, Hyun-Chul

    2013-10-28

    A distributed system is a collection of computing entities that communicate with each other to solve some problem. Distributed systems impact almost every aspect of daily life (e.g., cellular networks and the Internet); ...

  18. Greenhouse Gas Abatement with Distributed Generation in California's Commercial Buildings

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01

    Lai (2009b), “Control of Greenhouse Gas Emissions by Optimal2008), “Developing a Greenhouse Gas Tool for Buildings inERKELEY N ATIONAL L ABORATORY Greenhouse Gas Abatement with

  19. Energy Efficient Distributed Data Fusion In Multihop Wireless Sensor Networks

    E-Print Network [OSTI]

    Huang, Yi

    2010-01-01

    estimation in energy-constrained wireless sensor networks,”J. Wu, “Energy-e?cient coverage problems in wireless ad hoca transmission energy problem for wireless sensor networks.

  20. Laser Spectroscopic Trace-Gas Sensor Networks for Atmospheric Monitoring Applications

    E-Print Network [OSTI]

    Zhong, Lin

    Laser Spectroscopic Trace-Gas Sensor Networks for Atmospheric Monitoring Applications Stephen So@princeton.edu ABSTRACT Laser-based atmospheric trace-gas sensors have great potential for long-term, real a laser based chemical sensing technology with wide-area autonomous wireless sensor networking

  1. Flow distribution analysis on the cooling tube network of ITER thermal shield

    SciTech Connect (OSTI)

    Nam, Kwanwoo; Chung, Wooho; Noh, Chang Hyun; Kang, Dong Kwon; Kang, Kyoung-O; Ahn, Hee Jae; Lee, Hyeon Gon

    2014-01-29

    Thermal shield (TS) is to be installed between the vacuum vessel or the cryostat and the magnets in ITER tokamak to reduce the thermal radiation load to the magnets operating at 4.2K. The TS is cooled by pressurized helium gas at the inlet temperature of 80K. The cooling tube is welded on the TS panel surface and the composed flow network of the TS cooling tubes is complex. The flow rate in each panel should be matched to the thermal design value for effective radiation shielding. This paper presents one dimensional analysis on the flow distribution of cooling tube network for the ITER TS. The hydraulic cooling tube network is modeled by an electrical analogy. Only the cooling tube on the TS surface and its connecting pipe from the manifold are considered in the analysis model. Considering the frictional factor and the local loss in the cooling tube, the hydraulic resistance is expressed as a linear function with respect to mass flow rate. Sub-circuits in the TS are analyzed separately because each circuit is controlled by its own control valve independently. It is found that flow rates in some panels are insufficient compared with the design values. In order to improve the flow distribution, two kinds of design modifications are proposed. The first one is to connect the tubes of the adjacent panels. This will increase the resistance of the tube on the panel where the flow rate is excessive. The other design suggestion is that an orifice is installed at the exit of tube routing where the flow rate is to be reduced. The analysis for the design suggestions shows that the flow mal-distribution is improved significantly.

  2. Distribution of maximal clique size of the vertices for theoretical small-world networks and real-world networks

    E-Print Network [OSTI]

    Meghanathan, Natarajan

    2015-01-01

    Our primary objective in this paper is to study the distribution of the maximal clique size of the vertices in complex networks. We define the maximal clique size for a vertex as the maximum size of the clique that the vertex is part of and such a clique need not be the maximum size clique for the entire network. We determine the maximal clique size of the vertices using a modified version of a branch-and-bound based exact algorithm that has been originally proposed to determine the maximum size clique for an entire network graph. We then run this algorithm on two categories of complex networks: One category of networks capture the evolution of small-world networks from regular network (according to the wellknown Watts-Strogatz model) and their subsequent evolution to random networks; we show that the distribution of the maximal clique size of the vertices follows a Poisson-style distribution at different stages of the evolution of the small-world network to a random network; on the other hand, the maximal cl...

  3. A New Linearization Method of Unbalanced Electrical Distribution Networks

    SciTech Connect (OSTI)

    Liu, Guodong [ORNL; Xu, Yan [ORNL; Ceylan, Oguzhan [ORNL; Tomsovic, Kevin [University of Tennessee, Knoxville (UTK)

    2014-01-01

    Abstract--- With increasing penetration of distributed generation in the distribution networks (DN), the secure and optimal operation of DN has become an important concern. As DN control and operation strategies are mostly based on the linearized sensitivity coefficients between controlled variables (e.g., node voltages, line currents, power loss) and control variables (e.g., power injections, transformer tap positions), efficient and precise calculation of these sensitivity coefficients, i.e. linearization of DN, is of fundamental importance. In this paper, the derivation of the node voltages and power loss as functions of the nodal power injections and transformers' tap-changers positions is presented, and then solved by a Gauss-Seidel method. Compared to other approaches presented in the literature, the proposed method takes into account different load characteristics (e.g., constant PQ, constant impedance, constant current and any combination of above) of a generic multi-phase unbalanced DN and improves the accuracy of linearization. Numerical simulations on both IEEE 13 and 34 nodes test feeders show the efficiency and accuracy of the proposed method.

  4. Development of a compressor model for gas network simulation Supervisor: Johan Romate (Shell/TUD)

    E-Print Network [OSTI]

    Vuik, Kees

    /TUD) Problem background Oil and gas flowing out of a reservoir enter a production network of pipelines flow is modelled in network simulators. The flow through these network elements can be modelled.g. algebraic pressure drop models for simple approximations, or the one-dimensional Euler equations

  5. Model of the radial distribution of gas in the blast furnace

    SciTech Connect (OSTI)

    Nikus, M.; Saxen, H. [Aabo Akademi Univ. (Finland). Dept. of Chemical Engineering

    1996-12-31

    This paper describes an on-line model for estimating the radial gas distribution in blast furnaces. The model is based on molar and energy flow balances for the blast furnace throat region, and utilizes the top gas temperature and gas temperature measurements from a fixed above-burden probe. The distribution of the gas flux is estimated by a Kalman filter. The method is illustrated to capture short-term dynamics and to detect sudden major changes in the gas distribution in Finnish blast furnace.

  6. FaultTolerant Distributed Algorithms in Sparse Ad Hoc Wireless Networks

    E-Print Network [OSTI]

    Fault­Tolerant Distributed Algorithms in Sparse Ad Hoc Wireless Networks (SPAWN) BETTINA WEISS communication technologies, wireless ad hoc networks are increasingly commonplace nowadays. Spontaneous (``ad wireless sensor networks and disaster area communication systems. It is also a major enabling technology

  7. Non-Uniform Entropy Compression for Uniform Energy Distribution in Wireless Sensor Networks

    E-Print Network [OSTI]

    California at Davis, University of

    -non-homogeneity in the network. Bottleneck nodes trade computation energy for transmission energy, which extends and normalizesNon-Uniform Entropy Compression for Uniform Energy Distribution in Wireless Sensor Networks to increase the network's lifetime and to normalize the energy use per unit time, but they each have

  8. Towards Building an Optimal Demand Response Framework for DC Distribution Networks

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    Towards Building an Optimal Demand Response Framework for DC Distribution Networks Hamed Mohsenian, an optimization-based foundation is proposed for demand response in DC distribution networks in presence to assess the performance and to gain insights into the proposed demand-response paradigm. Keywords: DC

  9. Constraint-based Maintenance Scheduling on an Electric Power-Distribution Network

    E-Print Network [OSTI]

    Ros, Lluís

    Constraint-based Maintenance Scheduling on an Electric Power-Distribution Network Tom Creemers1-distribution network involves the scheduling of multiple maintenance and unforeseen repair tasks. The main resource, energy losses, and the cost of the necessary switching operations. In case tasks are carried out

  10. A Distributed Fault/Intrusion-Tolerant Sensor Data Storage Scheme Based on Network Coding and

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    1 A Distributed Fault/Intrusion-Tolerant Sensor Data Storage Scheme Based on Network Coding/intrusion-tolerant data storage scheme based on network coding and homomorphic fingerprinting in volatile WSNs (Sherman) Shen, Fellow, IEEE Abstract--Recently, distributed data storage has gained in- creasing

  11. Resilience-Based Design of Natural Gas Distribution Networks

    E-Print Network [OSTI]

    Bruneau, Michel

    of the municipalities of Introdacqua and Sulmona, two small towns in the center of Italy that were affected by the 2009 mainly close to urban areas and caused sig- nificant damage to buried pipelines because of the remainder being hydroelectric energy and a smaller percentage being renewable sources (e.g., wind and solar

  12. A Channel Model for Wireless Sensor Networks in Gas Turbine Engines

    E-Print Network [OSTI]

    Atkinson, Robert C

    A Channel Model for Wireless Sensor Networks in Gas Turbine Engines K. Sasloglou, I. A. Glover , P.5 GHz) for wireless sensors deployed over the external surfaces of a gas turbine engine is reported turbine engine. I. INTRODUCTION Wireless sensing offers a potential step change in gas turbine engine

  13. Natural Gas Compressor Stations on the Interstate Pipeline Network: Developments Since 1996

    Reports and Publications (EIA)

    2007-01-01

    This special report looks at the use of natural gas pipeline compressor stations on the interstate natural gas pipeline network that serves the lower 48 states. It examines the compression facilities added over the past 10 years and how the expansions have supported pipeline capacity growth intended to meet the increasing demand for natural gas.

  14. Strategic Planning, Design and Development of the Shale Gas Supply Chain Network

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Strategic Planning, Design and Development of the Shale Gas Supply Chain Network Diego C. Cafaro1-term planning of the shale gas supply chain is a relevant problem that has not been addressed before Shale gas, supply chain, strategic planning, MINLP, solution algorithm * Corresponding author. Tel.: +1

  15. Asymmetry in in-degree and out-degree distributions of large-scale industrial networks

    E-Print Network [OSTI]

    Luo, Jianxi

    2015-01-01

    Many natural, physical and social networks commonly exhibit power-law degree distributions. In this paper, we discover previously unreported asymmetrical patterns in the degree distributions of incoming and outgoing links in the investigation of large-scale industrial networks, and provide interpretations. In industrial networks, nodes are firms and links are directed supplier-customer relationships. While both in- and out-degree distributions have "power law" regimes, out-degree distribution decays faster than in-degree distribution and crosses it at a consistent nodal degree. It implies that, as link degree increases, the constraints to the capacity for designing, producing and transmitting artifacts out to others grow faster than and surpasses those for acquiring, absorbing and synthesizing artifacts provided from others. We further discover that this asymmetry in decaying rates of in-degree and out-degree distributions is smaller in networks that process and transmit more decomposable artifacts, e.g. info...

  16. Closed-loop real-time control on distributed networks 

    E-Print Network [OSTI]

    Ambike, Ajit Dilip

    2004-11-15

    This thesis is an e?ort to develop closed-loop control strategies on computer networks and study their stability in the presence of network delays and packet losses. An algorithm using predictors was designed to ...

  17. Photovoltaic Systems Interconnected onto Secondary Network Distribution Systems – Success Stories

    Broader source: Energy.gov [DOE]

    This report examines six case studies of photovoltaic (PV) systems integrated into secondary network systems. The six PV systems were chosen for evaluation because they are interconnected to secondary network systems located in four major Solar America Cities.

  18. Energy Efficient Distributed Data Fusion In Multihop Wireless Sensor Networks

    E-Print Network [OSTI]

    Huang, Yi

    2010-01-01

    estimation in energy-constrained wireless sensor networks,”a transmission energy problem for wireless sensor networks.J. Wu, “Energy-e?cient coverage problems in wireless ad hoc

  19. Greenhouse Gas Abatement with Distributed Generation in California's Commercial Buildings

    SciTech Connect (OSTI)

    Stadler, Michael; Marnay, Chris; Cardoso, Goncalo; Megel, Olivier; Siddiqui, Afzal; Lai, Judy

    2009-08-15

    Lawrence Berkeley National Laboratory (LBL) is working with the California Energy Commission (CEC) to determine the role of distributed generation (DG) in greenhouse gas reductions. The impact of DG on large industrial sites is well known, and mostly, the potentials are already harvested. In contrast, little is known about the impact of DG on commercial buildings with peak electric loads ranging from 100 kW to 5 MW. We examine how DG with combined heat and power (CHP) may be implemented within the context of a cost minimizing microgrid that is able to adopt and operate various smart energy technologies, such as thermal and photovoltaic (PV) on-site generation, heat exchangers, solar thermal collectors, absorption chillers, and storage systems. We use a mixed-integer linear program (MILP) that has the minimization of a site's annual energy costs as objective. Using 138 representative commercial sites in California (CA) with existing tariff rates and technology data, we find the greenhouse gas reduction potential for California's commercial sector. This paper shows results from the ongoing research project and finished work from a two year U.S. Department of Energy research project. To show the impact of the different technologies on CO2 emissions, several sensitivity runs for different climate zones within CA with different technology performance expectations for 2020 were performed. The considered sites can contribute between 1 Mt/a and 1.8 Mt/a to the California Air Resources Board (CARB) goal of 6.7Mt/a CO2 abatement potential in 2020. Also, with lower PV and storage costs as well as consideration of a CO2 pricing scheme, our results indicate that PV and electric storage adoption can compete rather than supplement each other when the tariff structure and costs of electricity supply have been taken into consideration. To satisfy the site's objective of minimizing energy costs, the batteries will be charged also by CHP systems during off-peak and mid-peak hours and not only by PV during sunny on-peak hours.

  20. Trust and Independence Aware Decision Fusion in Distributed Networks

    E-Print Network [OSTI]

    California at Davis, University of

    -hop network scenario: a set of mobile or stationary nodes trying to monitor certain targets (objects, people

  1. Distribution of a Stochastic Control Algorithm Applied to Gas Storage Valuation

    E-Print Network [OSTI]

    Vialle, Stéphane

    Distribution of a Stochastic Control Algorithm Applied to Gas Storage Valuation Constantinos to speed-up and size-up some gas storage valuations, based on a Stochastic Dy- namic Programming algorithm. Such valuations are typically needed by investment projects and yield prices of gas storage spaces and facilities

  2. Competition in a Network of Markets: The Natural Gas Industry

    E-Print Network [OSTI]

    Walls, W. David

    1992-01-01

    Growth in Unbundled Natural Gas Transportation Services:Purchasesby Interstate Natural Gas Pipelines Companies,1987.U.S. GPO, 1988. . Natural Gas Monthly. WashingtonD.C. : U.S.

  3. Load forecasting for active distribution networks Simone Paoletti, Member, IEEE, Marco Casini, Member, IEEE, Antonio Giannitrapani, Member, IEEE,

    E-Print Network [OSTI]

    Giannitrapani, Antonello

    forecasting for distribution networks with Active Demand (AD), a new concept in smart-grids introduced within

  4. EIA - Natural Gas Pipeline Network - Salt Cavern Storage Reservoir...

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

    Salt Cavern Storage Reservoir Configuration About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Salt Cavern...

  5. EIA - Natural Gas Pipeline Network - Depleted Reservoir Storage...

    Gasoline and Diesel Fuel Update (EIA)

    Depleted Reservoir Storage Configuration About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Depleted Production...

  6. EIA - Natural Gas Pipeline Network - Aquifer Storage Reservoir...

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

    Aquifer Storage Reservoir Configuration About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Aquifer Underground...

  7. Passive Optical Network Approach to GigaHertz-Clocked Multiuser Quantum Key Distribution

    E-Print Network [OSTI]

    Veronica Fernandez; Robert J. Collins; Karen J. Gordon; Paul D. Townsend; Gerald S. Buller

    2006-12-15

    We present the application of quantum key distribution technologies to fiber-based broadband passive optical access networks. This application is based on our 850 nm wavelength gigahertz clock-rate single-receiver system, is compatible with existing telecommunications fiber and exploits a wavelength band not currently utilized in access networks. The developed quantum key distribution networks are capable of transmitting over distances consistent with the span of access links for metropolitan networks (10 km), at clock frequencies ranging up to 3 GHz.

  8. Mobile Sensor Networks for Leak and Backflow Detection in Water Distribution Systems

    E-Print Network [OSTI]

    Shihada, Basem

    Mobile Sensor Networks for Leak and Backflow Detection in Water Distribution Systems M. Agumbe detection are essential aspects of Water Distribution System (WDS) monitoring. Most existing solutions for leak detection in water distribution systems focus on the placement of expensive static sensors located

  9. Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants

    E-Print Network [OSTI]

    Caramanis, Michael

    Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants Elli. To this end, we define a distribution market that can discover spatiotemporal real and reactive power prices dynamically to optimize cost and utility of distributed generation assets, consumers, transformer and other

  10. Distributed Acoustic Conversation Shielding: An Application of a Smart Transducer Network

    E-Print Network [OSTI]

    Distributed Acoustic Conversation Shielding: An Application of a Smart Transducer Network Yasuhiro]@media.mit.edu ABSTRACT In this paper, we introduce distributed acoustic conversation shielding, a novel application, Conversation Shielding, Location-Awareness, Distributed Control, Sound Masking. 1. INTRODUCTION Actuators

  11. Decentralized Real-time Control of Water Distribution Networks Using Self-organizing Multi-Agent Systems

    E-Print Network [OSTI]

    Bauer, Bernhard

    Decentralized Real-time Control of Water Distribution Networks Using Self-organizing Multi for the decentralized real- time control of water distribution networks. The agents, which are associated with every pump, tank, and water tower of such a distribution network, interact by means of a decentralized

  12. Method and apparatus for reducing the harmonic currents in alternating-current distribution networks

    DOE Patents [OSTI]

    Beverly, L.H.; Hance, R.D.; Kristalinski, A.L.; Visser, A.T.

    1996-11-19

    An improved apparatus and method reduce the harmonic content of AC line and neutral line currents in polyphase AC source distribution networks. The apparatus and method employ a polyphase Zig-Zag transformer connected between the AC source distribution network and a load. The apparatus and method also employs a mechanism for increasing the source neutral impedance of the AC source distribution network. This mechanism can consist of a choke installed in the neutral line between the AC source and the Zig-Zag transformer. 23 figs.

  13. Method and apparatus for reducing the harmonic currents in alternating-current distribution networks

    DOE Patents [OSTI]

    Beverly, Leon H. (Lockport, IL); Hance, Richard D. (Elburn, IL); Kristalinski, Alexandr L. (Naperville, IL); Visser, Age T. (Geneva, IL)

    1996-01-01

    An improved apparatus and method reduce the harmonic content of AC line and neutral line currents in polyphase AC source distribution networks. The apparatus and method employ a polyphase Zig-Zag transformer connected between the AC source distribution network and a load. The apparatus and method also employs a mechanism for increasing the source neutral impedance of the AC source distribution network. This mechanism can consist of a choke installed in the neutral line between the AC source and the Zig-Zag transformer.

  14. Simultaneous Production and Distribution of Industrial Gas Supply-Chains Pablo A. Marchetti1

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    include production modes and rates that determine power consumption. Distribution decisions involve sourceSimultaneous Production and Distribution of Industrial Gas Supply-Chains Pablo A. Marchetti1. The objective is to minimize the total cost of production and distribution of liquid products by coordinating

  15. Support Mobile and Distributed Applications with Named Data Networking

    E-Print Network [OSTI]

    Zhu, Zhenkai

    2013-01-01

    protocols for PDAs and mobile devices. ” IEEE Network, 16(does offer users and mobile devices more flexibility andawareness in the mobile devices (and thus the legacy devices

  16. Field test of the wavelength-saving quantum key distribution network

    E-Print Network [OSTI]

    Shuang Wang; Wei Chen; Zhen-Qiang Yin; Yang Zhang; Tao Zhang; Hong-Wei Li; Fang-Xing Xu; Zheng Zhou; Yang Yang; Da-Jun Huang; Li-Jun Zhang; Fang-Yi Li; Dong Liu; Yong-Gang Wang; Guang-Can Guo; Zheng-Fu Han

    2012-03-20

    We propose a wavelength-saving topology of quantum key distribution(QKD) network based on passive optical elements, and report the field test of this network on the commercial telecom optical fiber. In this network, 5 nodes are supported with 2 wavelengths, and every two nodes can share secure keys directly at the same time. All QKD links in the network operate at the frequency of 20 MHz. We also characterized the insertion loss and crosstalk effects on the point-to-point QKD system after introducing this QKD network.

  17. Natural gas network resiliency to a %22shakeout scenario%22 earthquake.

    SciTech Connect (OSTI)

    Ellison, James F.; Corbet, Thomas Frank,; Brooks, Robert E.

    2013-06-01

    A natural gas network model was used to assess the likely impact of a scenario San Andreas Fault earthquake on the natural gas network. Two disruption scenarios were examined. The more extensive damage scenario assumes the disruption of all three major corridors bringing gas into southern California. If withdrawals from the Aliso Canyon storage facility are limited to keep the amount of stored gas within historical levels, the disruption reduces Los Angeles Basin gas supplies by 50%. If Aliso Canyon withdrawals are only constrained by the physical capacity of the storage system to withdraw gas, the shortfall is reduced to 25%. This result suggests that it is important for stakeholders to put agreements in place facilitating the withdrawal of Aliso Canyon gas in the event of an emergency.

  18. Distributed Symmetric Function Computation in Noisy Wireless Sensor Networks

    E-Print Network [OSTI]

    Srikant, Rayadurgam

    . The network has a special node called the fusion center whose goal is to compute a symmetric function of these measurements. The problem studied is to minimize the total transmission energy used by the network when, and that each sensor uses r units of energy to transmit each bit, where r is the transmission range

  19. DIFS: A Distributed Index for Features in Sensor Networks

    E-Print Network [OSTI]

    Govindan, Ramesh

    of nodes in such networks is energy. Nodes are expected to be long­lived (deployed not for hours minimize energy use. The primary energy consumer in such systems is radio transmission. For one scenario and amount of data produced increase. Consequently, in energy­constrained sensor networks it may be necessary

  20. On Distributed Network Resource Allocation Andrea Werneck Richa

    E-Print Network [OSTI]

    ­ domized algorithm, shared object, wide­area network, hierarchical model, expected cost, packet routing for a class of cost functions that captures the hierarchical structure of most wide­area networks. Second, we for Finding O(Congestion+Dilation) Packet Routing Sched­ ules 51 3.1 Introduction

  1. On Dual Convergence of the Distributed Newton Method for Network Utility Maximization

    E-Print Network [OSTI]

    Wei, Ermin

    The existing distributed algorithms for Network Utility Maximization (NUM) problems mostly rely on dual decomposition and first-order (gradient or subgradient) methods, which suffer from slow rate of convergence. Recent ...

  2. A phased approach to distribution network optimization given incremental supply chain change

    E-Print Network [OSTI]

    Riechel, Patrick

    2012-01-01

    This thesis addresses the question of how to optimize a distribution network when the supply chain has undergone an incremental change. A case study is presented for Company A, a major global biotechnology company that ...

  3. Topic 7 : Smart Grid Privacy and Security 1Networking and Distributed Systems

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    Topic 7 : Smart Grid Privacy and Security 1Networking and Distributed Systems Department Tech UniversityCommunications and Control in Smart Grid 2 · Smart Meter Privacy · Concerns · Possible Solutions · Smart Grid Security · Load Altering Attacks · False Data Injection Attacks · Impact

  4. Optimal location of cross-docking centers for a distribution network in Argentina

    E-Print Network [OSTI]

    Dobrusky, Fernando G. (Fernando Gabriel), 1971-

    2003-01-01

    The objective of this thesis is to define an optimal distribution network for Argentina using Cross Docking Centers. The products to be delivered are in a Central Warehouse in Buenos Aires, the main city and port of ...

  5. Water Distribution System Monitoring and Decision Support Using a Wireless Sensor Network

    E-Print Network [OSTI]

    Allen, Michael

    Water distribution systems comprise labyrinthine networks of pipes, often in poor states of repair, that are buried beneath our city streets and relatively inaccessible. Engineers who manage these systems need reliable ...

  6. Network Stability under Alpha Fair Bandwidth Allocation with General File Size Distribution

    E-Print Network [OSTI]

    fair bandwidth allocation, with any positive alpha parameter, a Lyapunov function is constructed1 Network Stability under Alpha Fair Bandwidth Allocation with General File Size Distribution. Cornell University, Ithaca, NY. Swinburne University of Technology, Australia. Abstract--Rate allocation

  7. A Differential Phase Shift Scheme for Quantum Key Distribution in Passive Optical Networks

    E-Print Network [OSTI]

    Michael Hentschel; Andreas Poppe; Bernhard Schrenk; Momtchil Peev; Edwin Querasser; Roland Lieger

    2014-12-19

    We propose a scheme for quantum key distribution (QKD) in a passive optical network (PON) based on differential phase shift (DPS) coding. A centralized station including all expensive components serves many users, making it suitable for a true multi-user network in a local environment with moderate distances on the order of a few kilometers. The emphasis lies on an asymmetric design for cost effective implementation of network end points.

  8. Improving Distributed Virtual Network Embedding with O#ine Optimization # Samir Tazine Ibrahim Matta +

    E-Print Network [OSTI]

    Improving Distributed Virtual Network Embedding with O#ine Optimization # Samir Tazine Ibrahim role in the future. To provide such solutions e#ectively, internet provi­ ders face the problem of optimizing the allocation of virtual networks on their physical resources. Since this problem is known

  9. Improving Distributed Virtual Network Embedding with Offline Optimization Samir Tazine Ibrahim Matta

    E-Print Network [OSTI]

    Improving Distributed Virtual Network Embedding with Offline Optimization Samir Tazine Ibrahim role in the future. To provide such solutions effectively, internet provi- ders face the problem of optimizing the allocation of virtual networks on their physical resources. Since this problem is known

  10. Distributed Throughput Optimization for ZigBee Cluster-Tree Networks

    E-Print Network [OSTI]

    Zhuang, Weihua

    1 Distributed Throughput Optimization for ZigBee Cluster-Tree Networks Yu-Kai Huang§, Ai-Chun Pang connectivity in inexpensive, portable, and mobile devices. Among the well-known ZigBee topologies, ZigBee will be generated. However, the restricted routing of a ZigBee cluster- tree network may not be able to provide

  11. Use of Meta-Level Control for Coordination in a Distributed Problem-Solving Network

    E-Print Network [OSTI]

    Corkill, Daniel

    Use of Meta-Level Control for Coordination in a Distributed Problem-Solving Network Daniel D problem-solving networks provide an interesting application area for meta-level con- trol through the use node making sophisticated local decisions that balance its own perceptions of appropriate problem-solving

  12. AN ASYMPTOTICALLY OPTIMAL APPROACH TO THE DISTRIBUTED ADAPTIVE TRANSMIT BEAMFORMING IN WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Beigl, Michael

    the plants on a field. As the transmission power of each single node is too weak to reach the distant]. A solution to synchronize carrier signals of distributed wireless nodes is virtual/cooperative MIMO for wireless sen- sor networks [1, 2, 3]. In virtual MIMO for wireless sensor networks, single antenna nodes

  13. Multiagent Reinforcement Learning in a Distributed Sensor Network with Indirect Feedback

    E-Print Network [OSTI]

    Tumer, Kagan

    network operating in a model power plant. · Show that the average difference reward meets real- world accurate sensor measurements are crucial in order for power plants to effectively operate, as well while their power increases, distributed sensor networks become a more attractive option

  14. Distributed Topology Control for Power Efficient Operation in Multihop Wireless Ad Hoc Networks

    E-Print Network [OSTI]

    of a wireless network that is operating on battery power is limited by the capacity of its energy sourceDistributed Topology Control for Power Efficient Operation in Multihop Wireless Ad Hoc Networks of wireless multihop ad hoc net- works can be controlled by varying the transmission power of each node. We

  15. Outage Detection in Power Distribution Networks with Optimally-Deployed Power Flow Sensors

    E-Print Network [OSTI]

    Zhao, Yue

    distribution networks. As society becomes more dependent on electric power, the economic and societal costs due sensor at the substation [2]. In networks This research was supported in part by the DTRA under Grant a single digital transient recording device at the substation, fault location and diagnosis systems have

  16. Degree distribution of position-dependent ball-passing networks in football games

    E-Print Network [OSTI]

    Narizuka, Takuma; Yamazaki, Yoshihiro

    2015-01-01

    We propose a simple stochastic model describing the position-dependent ball-passing network in football games. In this network, a player on a certain area in the divided fields is a node, and a pass between two nodes corresponds to an edge. Our model is characterized by the consecutive choice of a node dependent on its intrinsic fitness. We derive the explicit expression of the degree distribution, and find that the derived distribution reproduces the real data quit well.

  17. Competition in a Network of Markets: The Natural Gas Industry

    E-Print Network [OSTI]

    Walls, W. David

    1992-01-01

    California, Los Angeles,1984. Oil &Gas Journal. "NewU.S. gasgas demandfell due to declining oil prices and mild winterand between corridors (See Oil & Gas Journal, December10,

  18. EIA - Natural Gas Pipeline Network - Regional Overview and Links

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

    number of individual natural gas pipeline systems (more than 90) and the highest level of pipeline mileage (over 106,000). The Central Region produces more gas than it consumes and...

  19. Expansion of the U.S. Natural Gas Pipeline Network

    Reports and Publications (EIA)

    2009-01-01

    Additions in 2008 and Projects through 2011. This report examines new natural gas pipeline capacity added to the U.S. natural gas pipeline system during 2008. In addition, it discusses and analyzes proposed natural gas pipeline projects that may be developed between 2009 and 2011, and the market factors supporting these initiatives.

  20. Research Study on Convex Optimization of Power Distribution Networks

    E-Print Network [OSTI]

    Lavaei, Javad

    . Background The integration of renewable energy source, or distributed energy resources and its advanced accurately predicted from historical data. And each generator (renewable energy resource) in a distribution structure and functionality. Acting as a small-scale generator, distributed energy resources usually connect

  1. GLOBAL OPTIMIZATION OF MULTIPHASE FLOW NETWORKS IN OIL AND GAS PRODUCTION SYSTEMS

    E-Print Network [OSTI]

    Johansen, Tor Arne

    1 GLOBAL OPTIMIZATION OF MULTIPHASE FLOW NETWORKS IN OIL AND GAS PRODUCTION SYSTEMS MSc. Hans, NTNU, Trondheim, Norway Abstract A mathematical program for finding the optimal oil production rates in an oil production system is developed. Each well may be manipulated by injecting lift gas and adjusting

  2. Distributed Newton-type algorithms for network resource allocation

    E-Print Network [OSTI]

    Wei, Ermin

    2010-01-01

    Most of today's communication networks are large-scale and comprise of agents with local information and heterogeneous preferences, making centralized control and coordination impractical. This motivated much interest in ...

  3. Hindawi Publishing Corporation International Journal of Distributed Sensor Networks

    E-Print Network [OSTI]

    Calgary, University of

    be applied to other ISM band protocols such as 802.15.4 (Zigbee) and 802.15.1 (Bluetooth). 1. Introduction localization for wireless networks operating under 2.4 GHz ISM band protocols such as Blue- tooth, Zigbee

  4. A Greedy Distributed Time Synchronization Algorithm for Wireless Sensor Networks

    E-Print Network [OSTI]

    Tam, Vincent W. L.

    synchronizations performed. I. INTRODUCTION With the advance in various enabling technologies like Micro-Electro-Mechanical System (MEMS), signal process- ing and wireless communication, wireless sensor networks (WSNs) have drawn

  5. DISTRIBUTIONAL IMPACTS OF GREENHOUSE GAS EMISSIONS TRADING: ALTERNATIVE ALLOCATION AND RECYCLING STRATEGIES

    E-Print Network [OSTI]

    California at Davis, University of

    DISTRIBUTIONAL IMPACTS OF GREENHOUSE GAS EMISSIONS TRADING: ALTERNATIVE ALLOCATION AND RECYCLING. Phone (714) 907-1123, Fax (213) 821-3926, E-mail fprager@usc.edu Emissions trading, or "cap and trade

  6. Distribution of Natural Gas: The Final Step in the Transmission Process

    Reports and Publications (EIA)

    2008-01-01

    This report analyzes the role of local distribution companies (LDCs) and transmission pipelines in delivering natural gas supplies to end use customers, focusing upon the years 1996 through 2006.

  7. Wyoming Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural Gas Reserves Adjustments (BillionYear (Million Cubic Feet)

  8. Wyoming Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural Gas Reserves Adjustments (BillionYear (Million Cubic

  9. Characterizing short-term stability for Boolean networks over any distribution of transfer functions

    E-Print Network [OSTI]

    C. Seshadhri; Andrew M. Smith; Yevgeniy Vorobeychik; Jackson Mayo; Robert C. Armstrong

    2014-09-15

    We present a characterization of short-term stability of random Boolean networks under \\emph{arbitrary} distributions of transfer functions. Given any distribution of transfer functions for a random Boolean network, we present a formula that decides whether short-term chaos (damage spreading) will happen. We provide a formal proof for this formula, and empirically show that its predictions are accurate. Previous work only works for special cases of balanced families. It has been observed that these characterizations fail for unbalanced families, yet such families are widespread in real biological networks.

  10. Design and implementation of an integrated network management system for TCP/IP-based distributed networks 

    E-Print Network [OSTI]

    Patel, Samir K.

    1993-01-01

    in designing of tools for network management. Various workstation vendors have developed such tools for their window systems, but many of the tools are not compatible for other systems. The X Window System, however, provides hardware independent and network...

  11. Geographically-Distributed Databases: A Big Data Technology for Production Analysis in the Oil & Gas Industry

    E-Print Network [OSTI]

    SPE 167844 Geographically-Distributed Databases: A Big Data Technology for Production Analysis advances in the scientific field of "big-data" to the world of Oil & Gas upstream industry. These off-of-the-start IT technologies currently employed in the data management of Oil & Gas production operations. Most current

  12. Impact of Higher Natural Gas Prices on Local Distribution Companies and Residential Customers

    Reports and Publications (EIA)

    2007-01-01

    This report examines some of the problems faced by natural gas consumers as a result of increasing heating bills in recent years and problems associated with larger amounts of uncollectible revenue and lower throughput for the local distribution companies (LDCs) supplying the natural gas.

  13. Optimization Techniques for the Brazilian Natural Gas Network ...

    E-Print Network [OSTI]

    2013-06-04

    Jun 4, 2013 ... In its major- ity, Brazilian natural gas is associated to oil production and this ... of products from a supplier to customers, and to define which.

  14. Smart Sensing Networks for Renewables, Oil & Gas | GE Global...

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

    reliability and robustness of the data points being collected. sensor-500x333 As oil and gas production moves to unconventional environments, it will require more rugged sensors...

  15. Channel-aware Distributed Classification in Wireless Sensor Networks

    E-Print Network [OSTI]

    Valenti, Matthew C.

    University, Morgantown, WV, USA 2011 SPIE Defense, Security, and Sensing Signal Processing, Sensor Fusion, and Problem Statement 2 System Model of Our Distributed Classification WSN 3 Fusion Rule Derivation 4 Distributed Classification WSN 3 Fusion Rule Derivation 4 Numerical Analysis 5 Conclusions M. Fanaei et al

  16. Networked Loads in the Distribution Grid Zhifang Wang, Xiao Li, Vishak Muthukumar, Anna Scaglione, Sean Peisert, Chuck McParland

    E-Print Network [OSTI]

    Peisert, Sean

    that they can be accessed remotely, and the network in these plants is structured according to the SCADA model examine a prototypical instance of SCADA network in the distribution network that handles central cooling (PLCs), electrical meters, and networks that deliver data to and from servers that are part of a SCADA

  17. Apparatus and method for data communication in an energy distribution network

    DOE Patents [OSTI]

    Hussain, Mohsin; LaPorte, Brock; Uebel, Udo; Zia, Aftab

    2014-07-08

    A system for communicating information on an energy distribution network is disclosed. In one embodiment, the system includes a local supervisor on a communication network, wherein the local supervisor can collect data from one or more energy generation/monitoring devices. The system also includes a command center on the communication network, wherein the command center can generate one or more commands for controlling the one or more energy generation devices. The local supervisor can periodically transmit a data signal indicative of the data to the command center via a first channel of the communication network at a first interval. The local supervisor can also periodically transmit a request for a command to the command center via a second channel of the communication network at a second interval shorter than the first interval. This channel configuration provides effective data communication without a significant increase in the use of network resources.

  18. Distributed Problem Solving in Sensor Networks Weixiong Zhang

    E-Print Network [OSTI]

    Zhang, Weixiong

    , resource allocation 1. SENSOR NETWORKS In recent years, the technology of micro-electro-mechanical sys- tems (MEMS) has made rapid advances. Various smart devices, such as sensors and actuators with some-world applications [4, 5]. To meet the needs of vast de- mands of MEMS in various application domains

  19. Task Allocation for Distributed Multimedia Processing on Wirelessly Networked Handheld

    E-Print Network [OSTI]

    Li, Zhiyuan

    the server and the handheld. We show that, to minimize battery consumption on the handheld, a trade- o#11 the battery life. In addition to that, handheld devices have relatively limited processing power and memory network. For example, replaying downloaded images, sounds, or videos from server to a handheld requires

  20. DIFS: A Distributed Index for Features in Sensor Networks

    E-Print Network [OSTI]

    Gao, Jie

    . The primary energy consumer in such systems is radio transmission. For one scenario, Pottie and Kaiser explain for complete flexibility in processing the data, it incurs signifi- cant energy expenditure to send every, in energy-constrained sensor networks it may be necessary to store data locally at or near the location

  1. Key Distribution Mechanisms for Wireless Sensor Networks: a Survey

    E-Print Network [OSTI]

    Bystroff, Chris

    . A wireless sensor network (WSN) is composed of large number of sensor nodes with limited power, computation of the nodes increases. If the environment is uncontrolled or the WSN is very large, deployment has to be per] and [Zou and Chakrabarty 2003], this may not be possible for a large scale WSN. Security in WSN has six

  2. A Local Control Approach to Voltage Regulation in Distribution Networks

    E-Print Network [OSTI]

    Dominguez-Garcia, Alejandro

    , but the state already has 2900 MW of installed capacity [4], enough for about 600,000 households. Therefore we of passive demands, buses in the network could include clusters of households with rooftop solar installations, electric vehicles, and storage; these generation and storage devices are commonly referred

  3. Pipeline and Distribution Use of Natural Gas (Summary)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2Feet) Year Jan4.PDF TableJune 201558,736 60,103

  4. Price for Natural Gas Pipeline and Distribution Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2Feet) Yearmeeting 1: Industrial2 ndOfficeFor:May

  5. Price for Natural Gas Pipeline and Distribution Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2Feet) Yearmeeting 1: Industrial2 ndOfficeFor:May

  6. Alabama Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic(MillionDecadeIndustrial Deliveries (Million

  7. Alabama Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic(MillionDecadeIndustrial Deliveries

  8. Alaska Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570 2,304Exports (NoYear Jan (Million

  9. Alaska Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570 2,304Exports (NoYear Jan

  10. Arizona Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570Month PreviousDry4,645Decade0Industrial

  11. Arizona Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570Month

  12. Arkansas Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570MonthThousand8 2 2Industrial Consumers

  13. Arkansas Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570MonthThousand8 2 2Industrial

  14. California Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724perSalesFuel Consumption (MillionIndustrial

  15. California Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724perSalesFuel Consumption

  16. Colorado Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov DecIndustrial Consumers

  17. Colorado Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Connecticut Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Connecticut Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

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

  20. Delaware Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1 0 0Commercial (Million Cubic

  1. Delaware Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1 0 0Commercial (Million

  2. District of Columbia Natural Gas Pipeline and Distribution Use (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1 0Delaware2YearCubic

  3. District of Columbia Natural Gas Pipeline and Distribution Use Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1 0Delaware2YearCubic(Dollars

  4. Florida Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

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

  5. Florida Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

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

  6. Georgia Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear Jan Feb Mar87.1 81.2Industrial Consumers

  7. Georgia Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear Jan Feb Mar87.1 81.2Industrial

  8. Hawaii Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

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

  9. Idaho Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Illinois Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

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

  11. Illinois Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Indiana Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Indiana Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Iowa Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Kansas Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYearYearDecade Year-0163DecadeFuelIndustrial

  16. Kansas Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

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

  17. Kentucky Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012 2013 2014 ViewSalesFeet) DecadeIndustrial

  18. Kentucky Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012 2013 2014 ViewSalesFeet)

  19. Louisiana Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012 2013(MillionYear Jan Feb MarFuelIndustrial

  20. Louisiana Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012 2013(MillionYear Jan Feb

  1. Maine Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012Decade Year-0 Year-1 Year-2Commercial (Million

  2. Maryland Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012Decade Year-0Year Jan Feb MarCommercial (Million

  3. Maryland Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012Decade Year-0Year Jan Feb MarCommercial

  4. Massachusetts Natural Gas Pipeline and Distribution Use (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012Decade Year-0YearDecadeElements)

  5. Massachusetts Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012Decade Year-0YearDecadeElements)Thousand Cubic

  6. Michigan Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 15 15 15 3Industrial Consumers

  7. Michigan Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 15 15 15 3Industrial

  8. Minnesota Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 15 (Million Cubic Feet) Minnesota

  9. Minnesota Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 15 (Million Cubic Feet)

  10. Mississippi Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 1522 35Feet) Year (Million Cubic

  11. Mississippi Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 1522 35Feet) Year (Million

  12. Missouri Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19Fuel Consumption (MillionIndustrial

  13. Missouri Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19Fuel Consumption

  14. Montana Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Montana Natural Gas Pipeline and Distribution Use Price (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

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

  16. Ohio Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear JanNew Field DiscoveriesElements) Gas (Million

  17. Oregon Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear JanNew FieldDecadeYear JanElements) Gas (Million

  18. Oregon Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear JanNew FieldDecadeYear JanElements) Gas

  19. Optimal Demand Response in DC Distribution Networks Hamed Mohsenian-Rad, Member, IEEE and Ali Davoudi, Member, IEEE

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    Optimal Demand Response in DC Distribution Networks Hamed Mohsenian-Rad, Member, IEEE and Ali first present an optimization-based foundation for demand response in DC distribution networks. Then, we devise a pricing mechanism to enforce optimal demand response in a distributed fashion. Simulation

  20. Distributed Problem Solving in Geometrically-Structured Constraint Networks

    E-Print Network [OSTI]

    Mailler, Roger

    ) Roger Mailler University of Tulsa 800 South Tucker Dr Tulsa, Oklahoma mailler@utulsa.edu Huimin Zheng University of Tulsa 800 South Tucker Dr Tulsa, Oklahoma huimin-zheng@utulsa.com ABSTRACT Distributed

  1. Inventory positioning for a multi-echelon distribution network

    E-Print Network [OSTI]

    Avari, Deepak

    2009-01-01

    This thesis presents a framework for deciding which products to centralize in a regional distribution center and which products to store decentralized close to the customer sites, for each facility in a multi-echelon ...

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

    E-Print Network [OSTI]

    Jamasb, Tooraj; Marantes, Cristiano

    2011-01-31

    . Cost savings can be achieved either in operation and maintenance (Opex) and capital expenditures (Capex). Evaluation of efficiency potential in Capex is a challenging task. The main difficulty in incentivising investments is in the discrepancy... by which the DNOs are rewarded by higher rate of returns if their actual investments are lower than the predicted levels (Ofgem, 2004). Collectively, these separate incentive schemes for Opex, Capex, quality of service, and network energy losses amount...

  3. Survey and assessment of the effects of nonconventional gases on gas distribution equipment

    SciTech Connect (OSTI)

    Jasionowski, W.J.; Scott, M.I.; Gracey, W.C.

    1982-10-01

    A literature search and a survey of the gas industry were conducted to assess potential problems in the distribution of nonconventional gases. Available literature did not uncover data that would describe potential problems or substantiate the presence of harmful trace elements in final gas compositions produced from various SNG processes. Information from the survey indicates that some companies have encountered problems with nonconventional gases and extraneous additives such as landfill gas, refinery off-gases, oil gas, carbureted water gas, coke-oven gas, propane-air, and compressor lubricant oils. These nonconventional gases and compressor oils may 1) cause pipeline corrosion, 2) degrade some elastomeric materials and greases and affect the integrity of seals, gaskets, O-rings, and meter and regulator diaphragms, and 3) cause operational and safety problems. The survey indicated that 62% of the responding companies plan to use supplemental gas, with most planning on more than one type. Distribution companies intend to significantly increase their use of polyethylene piping from 11.6% in 1980 to 22.4% in 2000 for gas mains and from 33.4% to 50.3% in 2000 for gas service lines.

  4. Fibre optical measuring network based on quasi-distributed amplitude sensors for detecting deformation loads

    SciTech Connect (OSTI)

    Kul'chin, Yurii N; Kolchinskiy, V A; Kamenev, O T; Petrov, Yu S

    2013-02-28

    A new design of a sensitive element for a fibre optical sensor of deformation loads is proposed. A distributed fibre optical measuring network, aimed at determining both the load application point and the load mass, has been developed based on these elements. It is shown that neural network methods of data processing make it possible to combine quasi-distributed amplitude sensors of different types into a unified network. The results of the experimental study of a breadboard of a fibre optical measuring network are reported, which demonstrate successful reconstruction of the trajectory of a moving object (load) with a spatial resolution of 8 cm, as well as the load mass in the range of 1 - 10 kg with a sensitivity of 0.043 kg{sup -1}. (laser optics 2012)

  5. Response time distributions and network perturbation into product-form

    E-Print Network [OSTI]

    Imperial College, London

    to deriving corresponding response time distributions. The Reversed Compound Agent Theo- rem (RCAT) is used in both the forward and reversed processes. Therefore if the reversed process is known, each node-sojourn time can be taken from either process. In particular, the reversed process can be used for the first

  6. Dynamic server selection using fuzzy inference in content distribution networks

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    been designed and deployed to distribute content to different cache servers, and to transparently systems. An appropriate server should be selected by taking estimated user location, measured round is proposed. The scheme selects appropriate servers based on partial round-trip time measurements

  7. Minimization of Blast furnace Fuel Rate by Optimizing Burden and Gas Distribution

    SciTech Connect (OSTI)

    Dr. Chenn Zhou

    2012-08-15

    The goal of the research is to improve the competitive edge of steel mills by using the advanced CFD technology to optimize the gas and burden distributions inside a blast furnace for achieving the best gas utilization. A state-of-the-art 3-D CFD model has been developed for simulating the gas distribution inside a blast furnace at given burden conditions, burden distribution and blast parameters. The comprehensive 3-D CFD model has been validated by plant measurement data from an actual blast furnace. Validation of the sub-models is also achieved. The user friendly software package named Blast Furnace Shaft Simulator (BFSS) has been developed to simulate the blast furnace shaft process. The research has significant benefits to the steel industry with high productivity, low energy consumption, and improved environment.

  8. A distributed scientific visualization paradigm for heterogeneous computer networks 

    E-Print Network [OSTI]

    Lenox, Mark Wayne

    1990-01-01

    hardware product called VX/MVX that uses multiple processors to perform visualization tasks [33]. It is not a heterogeneous distributed environment, however, in that all the processors are located within a single Sun workstation, as shown below in figure... pipeline, and minimization of supercomputer re- source demand are all design features of apE [17]. apE, which stands for animation production Environment, abstracts data in the form of the FLUX language [17]. FLUX has built in capabilities that make...

  9. New optimal power flow techniques to improve integration of distributed generation in responsive distribution networks 

    E-Print Network [OSTI]

    Robertson, James George

    2015-06-29

    Climate change has brought about legally-binding targets for Scotland, the U.K. and the E.U. to reduce greenhouse gas emissions and source a share of overall energy consumption from renewable energy resources by 2020. ...

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Compressor 4 Commercial Industry Power Plant LDC 3 Suppliers, 12 Demand nodes, 5 Compressors Sinusoidal Flowrates Industry: N6,12,13,19,21 Commercial: N30,32,34,35 Power Plant: N4,25 LDC: N23 Pcontract = 500 kEconomic Nonlinear Model Predictive Control for the Optimization of Gas Pipeline Networks EWO

  11. EIA - Natural Gas Pipeline Network - Salt Cavern Storage Reservoir

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969

  12. Distributed Detection and Localization of Events in Large Ad Hoc Wireless Sensor Networks

    E-Print Network [OSTI]

    Kumar, Anurag

    are application­specific networks that com- prise a large number of tiny, energy­limited, smart sensor devices by . This formulation is motivated by the change detection/isolation framework introduced by Nikiforov [6]. We extend decisions of ALL toggle rapidly. Motivated by this fact, we propose a distributed change detection

  13. Voltage Stability and Frequency Synchronization of Weak Power Distribution Networks with Inverter-Based

    E-Print Network [OSTI]

    Lemmon, Michael

    a part of microgrids, are incorporated to improve power quality and reliability when disruptions happen of microgrids [13], together with oth- er generation, storage and load units. These microgrid- s are installedVoltage Stability and Frequency Synchronization of Weak Power Distribution Networks with Inverter

  14. Performance and Fiscal Analysis of Distributed Sensor Networks in a Power Plant

    E-Print Network [OSTI]

    Tumer, Kagan

    Performance and Fiscal Analysis of Distributed Sensor Networks in a Power Plant Mitchell Colby University 204 Rogers Hall Corvallis, OR 97331 kagan.tumer@oregonstate.edu ABSTRACT As power plants become power plant, showing that system parameters may be accurately measured and tracked more effectively than

  15. Probabilistic Modelling of Plug-in Hybrid Electric Vehicle Impacts on Distribution Networks in

    E-Print Network [OSTI]

    Victoria, University of

    emission rates, especially in a low carbon intensive generation mixture such as that of British Columbia. This research aims to investigate the incremental impacts to distribution networks in British Columbia imposed in British Columbia by Liam Kelly B.A.Sc, University of Waterloo, 2005 A Thesis Submitted in Partial

  16. Weak Data Secrecy via Obfuscation in Network Coding Based Content Distribution

    E-Print Network [OSTI]

    Battiti, Roberto

    Weak Data Secrecy via Obfuscation in Network Coding Based Content Distribution Roberto G. Cascella of California Los Angeles, 3732F Boelter Hall, CA 90095 Los Angeles Email: {cascella, crispo, battiti in terms of error/loss protection and faster dissemination at the cost of exposing the data to intermediate

  17. Distributed Opportunistic Scheduling for Wireless Networks Powered by Renewable Energy Sources

    E-Print Network [OSTI]

    Zhang, Junshan

    Distributed Opportunistic Scheduling for Wireless Networks Powered by Renewable Energy Sources Hang with mul- tiple transmitter-receiver pairs, in which all transmitters are ca- pable of harvesting renewable Conventional wireless communication devices are usually powered by batteries that can provide stable energy

  18. Aalborg Universitet Three-Phase Unbalanced Load Flow Tool for Distribution Networks

    E-Print Network [OSTI]

    Sera, Dezso

    -consumption and power quality are two essential targets on the overall electrical power system to be continuously Workshop on Integration of Solar Power Systems Publication date: 2012 Document Version Preprint (usually for Distribution Networks. In Proceedings of the 2nd International Workshop on Integration of Solar Power Systems

  19. Transient Over-Voltage Mitigation and its Prevention in Secondary Distribution Networks with

    E-Print Network [OSTI]

    of Central Florida 1679 Clearlake Road Cocoa, FL 32922 E-mail: block@fsec.ucf.edu Purchase Order Number. This document is a project report issued and disseminated under the sponsorship of the University of Central generation (DG) units within secondary distribution networks, such as photovoltaic power stations or rooftop

  20. On Computing Mobile Agent Routes for Data Fusion in Distributed Sensor Networks

    E-Print Network [OSTI]

    Chakrabarty, Krishnendu

    such as adequate detection energy for target detection or tracking. In conventional fusion architectures, allOn Computing Mobile Agent Routes for Data Fusion in Distributed Sensor Networks Qishi Wu, Member strength and inversely proportional to the path loss and energy consumption. We show this problem to be NP

  1. Lyapunov functions, stationary distributions, and non-equilibrium potential for chemical reaction networks

    E-Print Network [OSTI]

    Lyapunov functions, stationary distributions, and non-equilibrium potential for chemical reaction reac- tion systems and Lyapunov functions for their deterministic counterparts. Specifically, we derive the well known Lyapunov function of chemical reaction network theory as a scaling limit of the non

  2. A Distributed Scheduling Algorithm with QoS Provisions in Multi-Hop Wireless Mesh Networks

    E-Print Network [OSTI]

    Leung, Kin K.

    in urban, suburban, and rural environments. A WMN is usually composed of static wireless nodes/mesh routers/Internet gateway to the internet but also as a wireless router able to relay packets from other nodes withoutA Distributed Scheduling Algorithm with QoS Provisions in Multi-Hop Wireless Mesh Networks Chi

  3. STUDY OF CLOUD LIFETIME EFFECTS USING THE SGP HETEROGENEOUS DISTRIBUTED RADAR NETWORK: PRELIMINARY CONSIDERATIONS

    E-Print Network [OSTI]

    STUDY OF CLOUD LIFETIME EFFECTS USING THE SGP HETEROGENEOUS DISTRIBUTED RADAR NETWORK: PRELIMINARY-dimensional morphology and life cycle of clouds. Detailing key cloud processes as they transit from the formation stage to precipitation onset and cloud dissipation is critical towards establishing uncertainties in climate models

  4. Distribution network use-of-system charges under high penetration of distributed energy resources

    E-Print Network [OSTI]

    Bharatkumar, Ashwini

    2015-01-01

    Growing integration of distributed energy resources (DER) presents the electric power sector with the potential for signicant changes to technical operations, business models, and industry structure. New physical components, ...

  5. Porous Polymer Networks: Synthesis, Porosity, and Applications in Gas

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation | Center for GasPhysics PhysicsFlue

  6. EIA - Natural Gas Pipeline Network - Aquifer Storage Reservoir

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728Configuration Aquifer Storage

  7. EIA - Natural Gas Pipeline Network - Depleted Reservoir Storage

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728Configuration Aquifer

  8. EIA - Natural Gas Pipeline Network - Expansion Process Flow Diagram

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728Configuration AquiferDevelopment &

  9. EIA - Natural Gas Pipeline Network - Interstate Pipelines Segment

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S TheEnergyEnergy Markets4Interstate

  10. EIA - Natural Gas Pipeline Network - Pipeline Capacity and Utilization

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/SPipeline Utilization & Capacity About

  11. EIA - Natural Gas Pipeline Network - Region To Region System Capacity

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/SPipeline Utilization & Capacity

  12. EIA - Natural Gas Pipeline Network - Regional Overview and Links

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/SPipeline Utilization &Overview and

  13. EIA - Natural Gas Pipeline Network - States Dependent on Interstate

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/SPipeline Utilization &OverviewPipelines

  14. EIA - Natural Gas Pipeline Network - Transportation Process & Flow

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/SPipeline Utilization

  15. Fractal analysis of the dark matter and gas distributions in the Mare-Nostrum universe

    SciTech Connect (OSTI)

    Gaite, José

    2010-03-01

    We develop a method of multifractal analysis of N-body cosmological simulations that improves on the customary counts-in-cells method by taking special care of the effects of discreteness and large scale homogeneity. The analysis of the Mare-Nostrum simulation with our method provides strong evidence of self-similar multifractal distributions of dark matter and gas, with a halo mass function that is of Press-Schechter type but has a power-law exponent -2, as corresponds to a multifractal. Furthermore, our analysis shows that the dark matter and gas distributions are indistinguishable as multifractals. To determine if there is any gas biasing, we calculate the cross-correlation coefficient, with negative but inconclusive results. Hence, we develop an effective Bayesian analysis connected with information theory, which clearly demonstrates that the gas is biased in a long range of scales, up to the scale of homogeneity. However, entropic measures related to the Bayesian analysis show that this gas bias is small (in a precise sense) and is such that the fractal singularities of both distributions coincide and are identical. We conclude that this common multifractal cosmic web structure is determined by the dynamics and is independent of the initial conditions.

  16. Predicting Well Stimulation Results in a Gas Storage Field in the Absence of Reservoir Data, Using Neural Networks

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    SPE 31159 Predicting Well Stimulation Results in a Gas Storage Field in the Absence of Reservoir of this methodology to a gas storage field is presented in this paper. The developed neural network can predict for future stimulation treatment in the aforementioned field. INTRODUCTION Gas storage fields have numerous

  17. Sensor-network-based robust distributed control and estimation P. Milln a,n,1

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    control strategies typically rely on the assumption of centrality: the information collected about, such as traffic systems, water delivery channels, oil/gas pipelines, electrical power grids water, manufacturing these cases the centrality assumption no longer holds, and a decentralized or distributed strategy is often

  18. AN ECONOMICS-BASED POWER-AWARE PROTOCOL FOR COMPUTATION DISTRIBUTION IN MOBILE AD-HOC NETWORKS

    E-Print Network [OSTI]

    Shang, Li

    AN ECONOMICS-BASED POWER-AWARE PROTOCOL FOR COMPUTATION DISTRIBUTION IN MOBILE AD-HOC NETWORKS Li, Princeton, NJ 08544, USA ABSTRACT In this paper, we present a new economics-based power- aware protocol, called the distributed economic subcontracting protocol (DESP), that dynamically distributes task

  19. Investment and Efficiency under Incentive Regulation: The Case of the Norwegian Electricity Distribution Networks

    E-Print Network [OSTI]

    Poudineh, Rahmatallah; Jamasb, Tooraj

    2013-04-01

    and competitive businesses (NVE, 2010). EPRG 1306 4 At the early years of the reform, there were approximately 230 distribution networks and 70 generation units in Norway. The high number of utilities reflects the dispersed nature of hydroelectric resources... from their efficiency level. The investment increase can be continued until efficiency after investment reduces to no impact efficiency, in which state, some form of optimality will be achieved. On the other hand, those firms that their efficiency...

  20. EIA - Natural Gas Pipeline Network - Natural Gas Import/Export Locations

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728ConfigurationList Pipelines >

  1. EIA - Natural Gas Pipeline Network - Natural Gas Import/Export Locations

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S TheEnergyEnergyMap Export Pipelines

  2. EIA - Natural Gas Pipeline Network - Natural Gas Imports/Exports Pipelines

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S TheEnergyEnergyMap Export

  3. EIA - Natural Gas Pipeline Network - Natural Gas Market Centers and Hubs

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S TheEnergyEnergyMap ExportMarket

  4. EIA - Natural Gas Pipeline Network - Natural Gas Supply Basins Relative to

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S TheEnergyEnergyMapExpansionMajor

  5. Natural gas transmission and distribution model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-02-01

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. From 1982 through 1993, the Intermediate Future Forecasting System (IFFS) was used by the EIA for its analyses, and the Gas Analysis Modeling System (GAMS) was used within IFFS to represent natural gas markets. Prior to 1982, the Midterm Energy Forecasting System (MEFS), also referred to as the Project Independence Evaluation System (PIES), was employed. NEMS was developed to enhance and update EIA`s modeling capability by internally incorporating models of energy markets that had previously been analyzed off-line. In addition, greater structural detail in NEMS permits the analysis of a broader range of energy issues. The time horizon of NEMS is the midterm period (i.e., through 2015). In order to represent the regional differences in energy markets, the component models of NEMS function at regional levels appropriate for the markets represented, with subsequent aggregation/disaggregation to the Census Division level for reporting purposes.

  6. A Spatio-Temporal exploratory analysis of pipe-failure incidents in the Water Distribution Network of Limassol, Cyprus 

    E-Print Network [OSTI]

    Gagatsis, Anastasios

    2011-08-10

    This paper presents the first attempt to the use of Geographic Information Systems technology in the Water Distribution Networks of Cyprus. A variety of exploratory, statistical and visualization techniques were used in ...

  7. Energy and Bandwidth-Efficient Key Distribution in Wireless Ad-Hoc Networks: A Cross-Layer

    E-Print Network [OSTI]

    Poovendran, Radha

    ) multicast group (MG) update messages, and (d) average update energy. For each metric, we formulate1 Energy and Bandwidth-Efficient Key Distribution in Wireless Ad-Hoc Networks: A Cross, and GC transmissions, while significantly reducing the energy and bandwidth consumption of the network

  8. Dynamic and Auto Responsive Solution for Distributed Denial-of-Service Attacks Detection in ISP Network

    E-Print Network [OSTI]

    Gupta, B B; Misra, Manoj

    2012-01-01

    Denial of service (DoS) attacks and more particularly the distributed ones (DDoS) are one of the latest threat and pose a grave danger to users, organizations and infrastructures of the Internet. Several schemes have been proposed on how to detect some of these attacks, but they suffer from a range of problems, some of them being impractical and others not being effective against these attacks. This paper reports the design principles and evaluation results of our proposed framework that autonomously detects and accurately characterizes a wide range of flooding DDoS attacks in ISP network. Attacks are detected by the constant monitoring of propagation of abrupt traffic changes inside ISP network. For this, a newly designed flow-volume based approach (FVBA) is used to construct profile of the traffic normally seen in the network, and identify anomalies whenever traffic goes out of profile. Consideration of varying tolerance factors make proposed detection system scalable to the varying network conditions and a...

  9. GREENHOUSE GAS REDUCTION POTENTIAL WITH COMBINED HEAT AND POWER WITH DISTRIBUTED GENERATION PRIME MOVERS - ASME 2012

    SciTech Connect (OSTI)

    Curran, Scott; Theiss, Timothy J; Bunce, Michael

    2012-01-01

    Pending or recently enacted greenhouse gas regulations and mandates are leading to the need for current and feasible GHG reduction solutions including combined heat and power (CHP). Distributed generation using advanced reciprocating engines, gas turbines, microturbines and fuel cells has been shown to reduce greenhouse gases (GHG) compared to the U.S. electrical generation mix due to the use of natural gas and high electrical generation efficiencies of these prime movers. Many of these prime movers are also well suited for use in CHP systems which recover heat generated during combustion or energy conversion. CHP increases the total efficiency of the prime mover by recovering waste heat for generating electricity, replacing process steam, hot water for buildings or even cooling via absorption chilling. The increased efficiency of CHP systems further reduces GHG emissions compared to systems which do not recover waste thermal energy. Current GHG mandates within the U.S Federal sector and looming GHG legislation for states puts an emphasis on understanding the GHG reduction potential of such systems. This study compares the GHG savings from various state-of-the- art prime movers. GHG reductions from commercially available prime movers in the 1-5 MW class including, various industrial fuel cells, large and small gas turbines, micro turbines and reciprocating gas engines with and without CHP are compared to centralized electricity generation including the U.S. mix and the best available technology with natural gas combined cycle power plants. The findings show significant GHG saving potential with the use of CHP. Also provided is an exploration of the accounting methodology for GHG reductions with CHP and the sensitivity of such analyses to electrical generation efficiency, emissions factors and most importantly recoverable heat and thermal recovery efficiency from the CHP system.

  10. Multi-party Agile Quantum Key Distribution Network with a Broadband Fiber-based Entangled Source

    E-Print Network [OSTI]

    E. Y. Zhu; C. Corbari; A. V. Gladyshev; P. G. Kazansky; H. K. Lo; L. Qian

    2015-06-12

    A reconfigurable, multi-party quantum key distribution scheme is experimentally demonstrated by utilizing a poled fiber-based source of broadband polarization-entangled photon pairs and dense wavelength-division multiplexing (DWDM). The large bandwidth (> 90 nm centered about 1555 nm) and highly spectrally-correlated nature of the entangled source is exploited to allow for the generation of more than 25 frequency-conjugate entangled pairs when aligned to the standard 200-GHz ITU grid. Such a network can serve more than 50 users simultaneously, allowing any one user on the network to establish a QKD link with any other user through wavelength-selective switching. The entangled pairs are delivered over 40 km of actual fiber (equivalent to 120 km of fiber based on channel-loss experienced), and a secure key rate of more than 20 bits/s per bi-party is observed.

  11. Model documentation Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1996-02-26

    The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.

  12. Effects on electrical distribution networks of dispersed power generation at high levels of connection penetration

    SciTech Connect (OSTI)

    Longrigg, P.

    1983-07-01

    The advent and deployment of significant levels of photovoltaic and wind energy generation in the spatially dispersed mode (i.e., residential and intermediate load centers) may have deleterious effects upon existing protective relay equipment and its time-current coordination on radial distribution circuits to which power conditioning equipment may be connected for power sell-back purposes. The problems that may arise involve harmonic injection from power conditioning inverters that can affect protective relays and cause excessive voltage and current from induced series and parallel resonances on feeders and connected passive equipment. Voltage regulation, var requirements, and consumer metering can also be affected by this type of dispersed generation. The creation of islands of supply is also possible, particularly on rural supply systems. This paper deals mainly with the effects of harmonics and short-circuit currents from wind energy conversion systems (WECS) and photovoltaic (PV) systems upon the operating characteristics of distribution networks and relays and other protective equipment designed to ensure the safety and supply integrity of electrical utility networks. Traditionally, electrical supply networks have been designed for one-way power flow-from generation to load, with a balance maintained between the two by means of automatic generation and load-frequency controls. Dispersed generation, from renewables like WECS or PV or from nonrenewable resources, can change traditional power flow. These changes must be dealt with effectively if renewable energy resources are to be integrated into the utility distribution system. This paper gives insight into these problems and proposes some solutions.

  13. Momentum Distribution and Condensate Fraction of a Fermion Gas in the BCS-BEC Crossover

    SciTech Connect (OSTI)

    Astrakharchik, G.E.; Boronat, J.; Casulleras, J.; Giorgini, S.

    2005-12-02

    By using the diffusion Monte Carlo method we calculate the one- and two-body density matrix of an interacting Fermi gas at T=0 in the BCS to Bose-Einstein condensate (BEC) crossover. Results for the momentum distribution of the atoms, as obtained from the Fourier transform of the one-body density matrix, are reported as a function of the interaction strength. Off-diagonal long-range order in the system is investigated through the asymptotic behavior of the two-body density matrix. The condensate fraction of pairs is calculated in the unitary limit and on both sides of the BCS-BEC crossover.

  14. Generic features of the wealth distribution in ideal-gas-like markets

    E-Print Network [OSTI]

    P. K. Mohanty

    2006-07-10

    We provide an exact solution to the ideal-gas-like models studied in econophysics to understand the microscopic origin of Pareto-law. In these class of models the key ingredient necessary for having a self-organized scale-free steady-state distribution is the trading or collision rule where agents or particles save a definite fraction of their wealth or energy and invests the rest for trading. Using a Gibbs ensemble approach we could obtain the exact distribution of wealth in this model. Moreover we show that in this model (a) good savers are always rich and (b) every agent poor or rich invests the same amount for trading. Nonlinear trading rules could alter the generic scenario observed here.

  15. Abstract-The distribution network reconfiguration is a process that consists of changing the status of the

    E-Print Network [OSTI]

    Lai, Hong-jian

    and constrained nonlinear mixed integer optimization problem [4][7][8]. With the evolution to the smart grid, more Edison (SCE). Index Terms- Smart Distribution Network, Fault Reconfiguration, Graph Theory, Multi is a very important tool to operate the distribution system at a minimum cost and improve the system

  16. PEV-based P-Q Control in Line Distribution Networks with High Requirement for Reactive Power Compensation

    E-Print Network [OSTI]

    Huang, Jianwei

    impact of distribution level wind turbines. Our design is based on a nonlinear power flow analysis1 PEV-based P-Q Control in Line Distribution Networks with High Requirement for Reactive Power the electric grid, both as a potential source of energy storage and as a means to improve power quality

  17. DECENTRALIZED CONTROL ARCHITECTURE FOR COUPLING MICROGRIDS INTO DISTRIBUTION NETWORKS 1 Task 1: Coupling Low-Voltage Microgrids into

    E-Print Network [OSTI]

    Lemmon, Michael

    DECENTRALIZED CONTROL ARCHITECTURE FOR COUPLING MICROGRIDS INTO DISTRIBUTION NETWORKS 1 Task 1: Coupling Low-Voltage Microgrids into Mid-Voltage Distribution Systems Zhao Wang, Student Member, IEEE-voltage (LV) microgrids. At the same time, reactive power is dispatched coordinatively so that voltage

  18. Abstract--Improvements in transmission and distribution networks can be noticed in most countries that had their system

    E-Print Network [OSTI]

    Morton, David

    , the National Electricity Regulatory Agency has established that the monthly amount of transmission system usage1 Abstract--Improvements in transmission and distribution networks can be noticed in most one of the biggest challenges is the transmission and distribution open access. In Brazil

  19. Conf. of Metallurgists 2005, Calgary, Canada, Aug., 2005. 497 MOS hydrogen sensor array for 2D gas distribution mapping

    E-Print Network [OSTI]

    Chapman, Glenn H.

    surface with dry thermal oxidation, palladium film was sputtered on silicon oxide as hydrogenConf. of Metallurgists 2005, Calgary, Canada, Aug., 2005. 497 MOS hydrogen sensor array for 2D gas, Canada V5A 1S6 ABSTRACT A MOS capacitor hydrogen sensor array is reported for hydrogen gas distribution

  20. Network Economics Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Performance/Efficiency Measure with Applications to a Variety of Network Systems · Transportation Network Network Satellite and Undersea Cable Networks Duke Energy Gas Pipeline Network Transportation with transportation as the unifying application. #12;Subway Network Railroad Network Iridium Satellite Constellation

  1. identification Distributed

    E-Print Network [OSTI]

    Schenato, Luca

    Networked Control Systems Clock Sync Channel identification in WSN Distributed control of Smart. Sandro Zampieri #12;Networked Control Systems Clock Sync Channel identification in WSN Distributed Systems Clock Sync Channel identification in WSN Distributed control of Smart Grids Conclusions Issues

  2. Model documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System; Volume 1

    SciTech Connect (OSTI)

    1994-02-24

    The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).

  3. Introduction to Network Analysis 1 Introduction to Network Analysis

    E-Print Network [OSTI]

    Safro, Ilya

    Networks from networksandservers.blogspot.com #12;Introduction to Network Analysis 7 Natural gas major

  4. The Case for Natural Gas Fueled Solid Oxide Fuel Cell Power Systems for Distributed Generation

    SciTech Connect (OSTI)

    Chick, Lawrence A.; Weimar, Mark R.; Whyatt, Greg A.; Powell, Michael R.

    2015-02-01

    Natural-gas-fueled solid oxide fuel cell (NGSOFC) power systems yield electrical conversion efficiencies exceeding 60% and may become a viable alternative for distributed generation (DG) if stack life and manufacturing economies of scale can be realized. Currently, stacks last approximately 2 years and few systems are produced each year because of the relatively high cost of electricity from the systems. If mass manufacturing (10,000 units per year) and a stack life of 15 years can be reached, the cost of electricity from an NGSOFC system is estimated to be about 7.7 ¢/kWh, well within the price of commercial and residential retail prices at the national level (9.9-10¢/kWh and 11-12 ¢/kWh, respectively). With an additional 5 ¢/kWh in estimated additional benefits from DG, NGSOFC could be well positioned to replace the forecasted 59-77 gigawatts of capacity loss resulting from coal plant closures due to stricter emissions regulations and low natural gas prices.

  5. Method and apparatus for distributed intrusion protection system for ultra high bandwidth networks

    DOE Patents [OSTI]

    Goranson, Craig A.; Burnette, John R.; Greitzer, Frank L.; McMillan, Bryan H.

    2013-10-15

    A method for providing security to a network having a data stream with a plurality of portions of data, each having differing levels of sensitivity. The data stream is interrogated to determine the presence of predetermined characteristics associated with at least one of the portions of data within the data stream. At least one of the portions of data is then characterized, based upon the portion of data exhibiting a predetermined combination of characteristics, wherein the predetermined combination of characteristics is related to the sensitivity of the portion of data. The portions of the data stream are then distributed into a plurality of different channels, each of the channels associated with different level of sensitivity.

  6. A Distributed Medium Access Control Scheme for a Large Network of Wireless Routers

    E-Print Network [OSTI]

    Zhao, Bin; Hua, Yingbo

    2008-01-01

    for a Large Network of Wireless Routers Bin Zhao and Yingboof a large network of wireless routers critically depends onLarge network of wireless routers, medium access control,

  7. A new methodology for analyzing and predicting U.S. liquefied natural gas imports using neural networks 

    E-Print Network [OSTI]

    Bolen, Matthew Scott

    2005-11-01

    applications being filed in Canada and Mexico for LNG import terminals. The EIA (Energy Information Agency) estimates by 2025 that LNG will make up 21% of the total U.S. Natural Gas Supply. This study developed a neural network approach to forecast LNG imports...

  8. Distributed Flow Control using Embedded Sensor-Actuator Networks for the Reduction of Combined Sewer Overflow (CSO) Events

    E-Print Network [OSTI]

    Lemmon, Michael

    Sewer Overflow (CSO) Events Pu Wan, Michael D. Lemmon Abstract-- This paper studies the distributed the frequency of combined sewer overflow (CSO) events in city sewer systems. This is an important environmental microprocessor controlled sensors and actuators directly into the sewer network. These embedded processors

  9. Distributed Seeking of Nash Equilibria in Mobile Sensor Networks Milos S. Stankovic, Karl Henrik Johansson and Dusan M. Stipanovic

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Distributed Seeking of Nash Equilibria in Mobile Sensor Networks Milos S. Stankovi´c, Karl Henrik convergence to a Nash equilibrium based on minimal information about the underlying noncooperative game. We, to a Nash equilibrium. We discuss how the proposed algorithm can be adopted for solving coordination

  10. Topic 4: Demand Response A.H. MohsenianRad (U of T) 1Networking and Distributed Systems

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    Topic 4: Demand Response A.H. MohsenianRad (U of T) 1Networking and Distributed Systems Department;Definition of Demand Response Dr. Hamed Mohsenian-Rad Texas Tech UniversityCommunications and Control in Smart Grid · According to the U.S. Department of Energy: Demand response (DR) is defined as changes

  11. Topic 3: Smart Grid Communications A.H. MohsenianRad (U of T) 1Networking and Distributed Systems

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    Topic 3: Smart Grid Communications A.H. MohsenianRad (U of T) 1Networking and Distributed Systems Reference Model for Smart Grid Dr. Hamed Mohsenian-Rad Texas Tech UniversityCommunications and Control in Smart Grid 2 · Each domain involves its own actors and applications. · Interactions across 7 Smart Grid

  12. Energy and Bandwidth-Efficient Key Distribution in Wireless Ad-Hoc Networks: A Cross-Layer

    E-Print Network [OSTI]

    Lazos, Loukas

    messages, and (d) average update energy. For each metric, we formulate an optimization problem and show1 Energy and Bandwidth-Efficient Key Distribution in Wireless Ad-Hoc Networks: A Cross metrics: (a) member key storage, (b) group controller (GC) transmissions, (c) multicast group (MG) update

  13. Analysis of microelectronic power distribution networks and exploration of 3D ICs

    E-Print Network [OSTI]

    Hu, Xiang

    2012-01-01

    A. Distributed Power Grid Model . . . . . . . .B. Currentimpedances between lumped model and distributed power gridmodel and distributed power grid model with inductance

  14. DISTRIBUTED OPTIMIZATION AND CONTROL OF OFFSHORE OIL PRODUCTION: THE INTELLIGENT

    E-Print Network [OSTI]

    Foss, Bjarne A.

    DISTRIBUTED OPTIMIZATION AND CONTROL OF OFFSHORE OIL PRODUCTION: THE INTELLIGENT PLATFORM Michael R to distributed optimization and control of offshore oil production systems. The model incorporates a complex pipeline network. Oil and gas production systems are represented as a network of connected hierarchical

  15. Network design optimization of fuel cell systems and distributed energy devices.

    SciTech Connect (OSTI)

    Colella, Whitney G.

    2010-07-01

    This research explores the thermodynamics, economics, and environmental impacts of innovative, stationary, polygenerative fuel cell systems (FCSs). Each main report section is split into four subsections. The first subsection, 'Potential Greenhouse Gas (GHG) Impact of Stationary FCSs,' quantifies the degree to which GHG emissions can be reduced at a U.S. regional level with the implementation of different FCS designs. The second subsection, 'Optimizing the Design of Combined Heat and Power (CHP) FCSs,' discusses energy network optimization models that evaluate novel strategies for operating CHP FCSs so as to minimize (1) electricity and heating costs for building owners and (2) emissions of the primary GHG - carbon dioxide (CO{sub 2}). The third subsection, 'Optimizing the Design of Combined Cooling, Heating, and Electric Power (CCHP) FCSs,' is similar to the second subsection but is expanded to include capturing FCS heat with absorptive cooling cycles to produce cooling energy. The fourth subsection, - Thermodynamic and Chemical Engineering Models of CCHP FCSs,' discusses the physics and thermodynamic limits of CCHP FCSs.

  16. Reference Models and Incentive Regulation of Electricity Distribution Networks: An Evaluation of Sweden’s Network Performance Assessment Model (NPAM)

    E-Print Network [OSTI]

    Jamasb, Tooraj; Pollitt, Michael G.

    (Capex), quality of service, and network losses in a single model. Aggregation of these important elements into a single model has useful efficiency and incentive properties. Firms can adjust their inputs and outputs more efficiently by weighting... long-term benchmarking model, the NPAM incorporates the main inputs and outputs of regulatory concern such as operating and maintenance expenditures (Opex), capital expenditures (Capex), service quality, and network energy losses. It is generally...

  17. Spatially distributed flame transfer functions for predicting combustion dynamics in lean premixed gas turbine combustors

    SciTech Connect (OSTI)

    Kim, K.T.; Lee, J.G.; Quay, B.D.; Santavicca, D.A.

    2010-09-15

    The present paper describes a methodology to improve the accuracy of prediction of the eigenfrequencies and growth rates of self-induced instabilities and demonstrates its application to a laboratory-scale, swirl-stabilized, lean-premixed, gas turbine combustor. The influence of the spatial heat release distribution is accounted for using local flame transfer function (FTF) measurements. The two-microphone technique and CH{sup *} chemiluminescence intensity measurements are used to determine the input (inlet velocity perturbation) and the output functions (heat release oscillation), respectively, for the local flame transfer functions. The experimentally determined local flame transfer functions are superposed using the flame transfer function superposition principle, and the result is incorporated into an analytic thermoacoustic model, in order to predict the linear stability characteristics of a given system. Results show that when the flame length is not acoustically compact the model prediction calculated using the local flame transfer functions is better than the prediction made using the global flame transfer function. In the case of a flame in the compact flame regime, accurate predictions of eigenfrequencies and growth rates can be obtained using the global flame transfer function. It was also found that the general response characteristics of the local FTF (gain and phase) are qualitatively the same as those of the global FTF. (author)

  18. Passive damping of beam vibrations through distributed electric networks and piezoelectric transducers: prototype design and experimental validation

    E-Print Network [OSTI]

    F. dell'Isola; C. Maurini; M. Porfiri

    2010-07-12

    The aim of this work is two-fold: to design devices for passive electric damping of structural vibrations by distributed piezoelectric transducers and electric networks, and to experimentally validate the effectiveness of such a damping concept. Two different electric networks are employed, namely a purely resistive network and an inductive-resistive one. The presented devices can be considered as distributed versions of the well-known resistive and resonant shunt of a single piezoelectric transducer. The technicalfeasibility and damping effectiveness of the proposed novel devices are assessed through the construction of an experimental prototype. Experimental results are shown to be in very good agreement with theoretical predictions. It is proved that the presented technique allows for a substantial reduction in the inductances used when compared with those required by the single resonant shunted transducer. In particular, it is shown that the required inductance decreases when the number of piezoelectric elements is increased. The electric networks are optimized in order to reduce forced vibrations close to the first resonance frequency. Nevertheless, the damping effectiveness for higher modes is experimentally proved. As well as specific results, fundamental theoretical and experimental considerations for passive distributed vibration control are provided.

  19. A distributed newton method for dynamic Network Utility Maximization with delivery contracts

    E-Print Network [OSTI]

    Wei, Ermin

    The standard Network Utility Maximization (NUM) problem has a static formulation, which fails to capture the temporal dynamics in modern networks. This work considers a dynamic version of the NUM problem by introducing ...

  20. Integrating Network Awareness in ATLAS Distributed Computing Using the ANSE Project

    E-Print Network [OSTI]

    Klimentov, Alexei; The ATLAS collaboration; Petrosyan, Artem; Batista, Jorge Horacio; Mc Kee, Shawn Patrick

    2015-01-01

    A crucial contributor to the success of the massively scaled global computing system that delivers the analysis needs of the LHC experiments is the networking infrastructure upon which the system is built. The experiments have been able to exploit excellent high-bandwidth networking in adapting their computing models for the most efficient utilization of resources. New advanced networking technologies now becoming available such as software defined networking hold the potential of further leveraging the network to optimize workflows and dataflows, through proactive control of the network fabric on the part of high level applications such as experiment workload management and data management systems. End to end monitoring of networks using perfSONAR combined with data flow performance metrics further allows applications to adapt based on real time conditions. We will describe efforts underway in ATLAS on integrating network awareness at the application level, particularly in workload management, building upon ...

  1. Distributed Gaussian Process Regression for Mobile Sensor Networks Under Localization Uncertainty

    E-Print Network [OSTI]

    changes, due to increasing green- house gas concentrations, stratospheric ozone depletion, and tropical

  2. Int. J. Communication Networks and Distributed Systems, Vol. 6, No. 1, 2011 59 Copyright 2011 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    Wang, Yongge

    Inderscience Enterprises Ltd. sSCADA: securing SCADA infrastructure communications Yongge Wang Department@uncc.edu Abstract: Distributed control systems (DCS) and supervisory control and data acquisition (SCADA) systems the control systems. American Gas Association (AGA), IEC TC57 WG15, IEEE, NIST and National SCADA Test Bed

  3. Wireless Self-powered Visual and NDE Robotic Inspection System for Live Gas Distribution Mains

    SciTech Connect (OSTI)

    Susan Burkett; Hagen Schempf

    2006-01-31

    Carnegie Mellon University (CMU) under contract from Department of Energy/National Energy Technology Laboratory (DoE/NETL) and co-funding from the Northeast Gas Association (NGA), has completed the overall system design of the next-generation Explorer-II (X-II) live gas main NDE and visual inspection robot platform. The design is based on the Explorer-I prototype which was built and field-tested under a prior (also DoE- and NGA co-funded) program, and served as the validation that self-powered robots under wireless control could access and navigate live natural gas distribution mains. The X-II system design ({approx}8 ft. and 66 lbs.) was heavily based on the X-I design, yet was substantially expanded to allow the addition of NDE sensor systems (while retaining its visual inspection capability), making it a modular system, and expanding its ability to operate at pressures up to 750 psig (high-pressure and unpiggable steel-pipe distribution mains). A new electronics architecture and on-board software kernel were added to again improve system performance. A locating sonde system was integrated to allow for absolute position-referencing during inspection (coupled with external differential GPS) and emergency-locating. The power system was upgraded to utilize lithium-based battery-cells for an increase in mission-time. The system architecture now relies on a dual set of end camera-modules to house the 32-bit processors (Single-Board Computer or SBC) as well as the imaging and wireless (off-board) and CAN-based (on-board) communication hardware and software systems (as well as the sonde-coil and -electronics). The drive-module (2 ea.) are still responsible for bracing (and centering) to drive in push/pull fashion the robot train into and through the pipes and obstacles. The steering modules and their arrangement, still allow the robot to configure itself to perform any-angle (up to 90 deg) turns in any orientation (incl. vertical), and enable the live launching and recovery of the system using custom fittings and a (to be developed) launch-chamber/-tube. The battery modules are used to power the system, by providing power to the robot's bus. The support modules perform the functions of centration for the rest of the train as well as odometry pickups using incremental encoding schemes. The electronics architecture is based on a distributed (8-bit) microprocessor architecture (at least 1 in ea. module) communicating to a (one of two) 32-bit SBC, which manages all video-processing, posture and motion control as well as CAN and wireless communications. The operator controls the entire system from an off-board (laptop) controller, which is in constant wireless communication with the robot train in the pipe. The sensor modules collect data and forward it to the robot operator computer (via the CAN-wireless communications chain), who then transfers it to a dedicated NDE data-storage and post-processing computer for further (real-time or off-line) analysis. CMU has fully designed every module in terms of the mechanical, electrical and software elements (architecture only). Substantial effort has gone into pre-prototyping to uncover mechanical, electrical and software issues for critical elements of the design. Design requirements for sensor-providers were also detailed and finalized and provided to them for inclusion in their designs. CMU is expecting to start 2006 with a detailed design effort for both mechanical and electrical components, followed by procurement and fabrication efforts in late winter/spring 2006. The assembly and integration efforts will occupy all of the spring and summer of 2006. Software development will also be a major effort in 2006, and will result in porting and debugging of code on the module- and train-levels in late summer and Fall of 2006. Final pipe mock-up testing is expected in late fall and early winter 2006 with an acceptance demonstration of the robot train (with a sensor-module mock-up) planned to DoE/NGA towards the end of 2006.

  4. A Technology for Electronic Energy Meters Intelligent Accounting Using Distributed Database over TCP/IP Network

    E-Print Network [OSTI]

    Borissova, Daniela

    4 8 A Technology for Electronic Energy Meters Intelligent Accounting Using Distributed Database processing to allow the adequate information integration and resource control in the energy distribution the energy distribution enterprise information. Reading the electronic energy meters is made through

  5. Assessment of a Low Profi le Planar Antenna for a Wireless Sensor Network Monitoring the Local Water Distribution Network

    E-Print Network [OSTI]

    Herbert, Steven; Loh, Tian-Hong; Wassell, Ian

    2014-12-16

    ,” Wireless Sensor Systems, IET, vol. 2, no. 4, pp. 402– 408, December 2012. [3] A. Garcia, T. Tose, L. Ramalho, and D. Sicari, “Wireless sensor networks zigbee applied on sewage treatment station,” in Wireless Sensor Systems (WSS 2012), IET Conference on...

  6. A Low-Cost, High-Efficiency Periodic Flow Gas Turbine for Distributed Energy Generation

    SciTech Connect (OSTI)

    Dr. Adam London

    2008-06-20

    The proposed effort served as a feasibility study for an innovative, low-cost periodic flow gas turbine capable of realizing efficiencies in the 39-48% range.

  7. Diffusivity of rocks: Gas diffusion measurements and correlation to porosity and pore size distribution

    E-Print Network [OSTI]

    Hu, Qinhong "Max"

    scenarios, such as geologic disposal of radioactive waste [Gillham et al., 1984], contaminant remediation [e been used to determine gas transport parameters includ- ing permeability, diffusion coefficient

  8. Analyzing Natural Gas Based Hydrogen Infrastructure - Optimizing Transitions from Distributed to Centralized H2 Production

    E-Print Network [OSTI]

    Yang, Christopher; Ogden, Joan M

    2005-01-01

    focus is on modeling of hydrogen production and distributionto centralized hydrogen production. One key question thatCalifornia, Davis Hydrogen Production via Natural Gas Steam

  9. An Efficiency Measure for Dynamic Networks with

    E-Print Network [OSTI]

    Nagurney, Anna

    Amherst 13th International Conference on Computing in Economics and Finance13th International Conference on Computing in Economics and Finance Montréal, Quebec, Canada June 14Montréal, Quebec, Canada June 14 -- 16 of Other Dynamic Networks Oil & Natural gas network Electricity generation and distribution

  10. A Scalable On-Line Multilevel Distributed Network Fault Detectioflonitoring System Based on the SNMP Protocol

    E-Print Network [OSTI]

    Thulsiraman, Krishnaiyan

    in this paper has been motivated by this research trend In network management. We present the design as NMS nodes with dual roles - manager and agent - and to balance loads and to avoid traffic congestion@sosu.edu thulasi@ou.edu London, Ontano,Canada N6A 5B9 Abstract-Traditional centralized network management solutions

  11. Stackelberg Game for Distributed Resource Allocation over Multiuser Cooperative Communication Networks

    E-Print Network [OSTI]

    Liu, K. J. Ray

    . The energy-efficient transmission was consid- ered for broadcast networks in [4]. [5] considered the design Networks Beibei Wang, Zhu Han, and K. J. Ray Liu Department of Electrical and Computer Engineering and Institute for Systems Research, University of Maryland, College Park, MD 20742, USA Department of Electrical

  12. Three-Dimensional Distribution of the ISM in the Milky Way Galaxy: III. The Total Neutral Gas Disk

    E-Print Network [OSTI]

    Nakanishi, Hiroyuki

    2015-01-01

    We present newly obtained three-dimensional gaseous maps of the Milky Way Galaxy; HI, H$_2$ and total-gas (HI plus H$_2$) maps, which were derived from the HI and $^{12}$CO($J=1$--0) survey data and rotation curves based on the kinematic distance. The HI and H$_2$ face-on maps show that the HI disk is extended to the radius of 15--20 kpc and its outskirt is asymmetric to the Galactic center, while most of the H$_2$ gas is distributed inside the solar circle. The total gas mass within radius 30 kpc amounts to $8.0\\times 10^9$ M$_\\odot$, 89\\% and 11\\% of which are HI and H$_2$, {respectively}. The vertical slices show that the outer HI disk is strongly warped and the inner HI and H$_2$ disks are corrugated. The total gas map is advantageous to trace spiral structure from the inner to outer disk. Spiral structures such as the Norma-Cygnus, the Perseus, the Sagittarius-Carina, the Scutum-Crux, and the Orion arms are more clearly traced in the total gas map than ever. All the spiral arms are well explained with lo...

  13. Abstract--The inherent many-to-one flow of traffic in Wireless Sensor Networks produces a skewed distribution of energy

    E-Print Network [OSTI]

    Radha, Hayder

    approaches aimed at balancing the consumption of energy in wireless networks are based on a linear distribution of energy consumption rates leading to the early demise of those sensors that are critical) it puts forward a new understanding of sensor network lifetime based on statistical measures, mean

  14. IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 13, NO. 1, FEBRUARY 2005 147 A Cone-Based Distributed Topology-Control

    E-Print Network [OSTI]

    IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 13, NO. 1, FEBRUARY 2005 147 A Cone-Based Distributed Topology-Control Algorithm for Wireless Multi-Hop Networks Li (Erran) Li, Member, IEEE, Joseph Y. Halpern, Senior Member, IEEE, Paramvir Bahl, Senior Member, IEEE, Yi-Min Wang, and Roger Wattenhofer Abstract

  15. Jini technology as a solution to develop distributed instrumentation network in Engineering

    E-Print Network [OSTI]

    Libre de Bruxelles, Université

    -distributed applications like CORBA, LabVIEW or GPIB-ENET.5 2. VIRTUAL INSTRUMENTATION The term virtual instrumentation

  16. Distributed Clustering for Robust Aggregation in Large Networks Ittay Eyal Idit Keidar Raphael Rom

    E-Print Network [OSTI]

    Keidar, Idit

    sensor networks with thousands of light-weight nodes monitoring conditions like seismic activity there are irregu- lar shakes, such as a moving truck, but ignore a shake com- mon to all sensors like a mild

  17. In-situ prediction on sensor networks using distributed multiple linear regression models

    E-Print Network [OSTI]

    Basha, Elizabeth (Elizabeth Ann)

    2010-01-01

    Within sensor networks for environmental monitoring, a class of problems exists that requires in-situ control and modeling. In this thesis, we provide a solution to these problems, enabling model-driven computation where ...

  18. Smart-Metering for Monitoring Building Power Distribution Network using Instantaneous Phasor Computations of Electrical Signals

    E-Print Network [OSTI]

    K.R., Krishnanand

    2013-01-01

    Man, H. and L. Jae-Hyun, Smart home energy management systemand implementation of smart home energy management systemsSocial network of smart-metered homes and SMEs for grid-

  19. Smart-Metering for Monitoring Building Power Distribution Network using Instantaneous Phasor Computations of Electrical Signals

    E-Print Network [OSTI]

    K.R., Krishnanand

    2013-01-01

    efficient operation of a smart meter network . in Industrialpolicies and case studies in smart metering . in Power andG.B. Huitema. Good standards for smart meters . in European

  20. `On a Tracking Scheme with Probabilistic Completeness for a Distributed Sensor Network

    E-Print Network [OSTI]

    Hexmoor, Henry

    presented the results of endowing the sensor network with autonomy. Sensors monitor targets that crisscross modeled through fuzzy rules [1]. The sensor further decides if it would monitor the target by remaining

  1. Distributed connection management for real-time communication over wormhole-routed networks 

    E-Print Network [OSTI]

    Sundaresan, Sharad

    1997-01-01

    Wormhole networks provide a very high-speed communication medium that is well suited for a large number of bandwidth demanding applications. Unfortunately, the lack of buffering in the switches causes blocked packets to transiently monopolize...

  2. Topological Data Processing for Distributed Sensor Networks with Morse-Smale Decomposition

    E-Print Network [OSTI]

    Edinburgh, University of

    of packets in the network (e.g., avoiding sensor nodes with low energy level), or navigation of users/vehicles identify saddle points with increasing and decreasing neighbor values in an alternating fashion, specially

  3. Robotic Local Area Networks with Fault-Tolerant Distributed Layers for Real-Time Control

    E-Print Network [OSTI]

    Liberatore, Vincenzo

    manipulation of a solar panel. The expected overall outcome will consists of a modular software platform teams to perform complex real-time tasks. Robotic teams necessitate innovative networks technology

  4. Distributed data processing within dense networks of wireless sensors using parallelized model updating techniques

    E-Print Network [OSTI]

    Lynch, Jerome P.

    simulated annealing search method optimized for in-network execution, this algorithm efficiently assigns structure model of a six-story steel building exposed to seismic base motion. Keywords: Wireless sensors

  5. Designing optimal greenhouse gas observing networks that consider performance and cost

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Lucas, D. D.; Yver Kwok, C.; Cameron-Smith, P.; Graven, H.; Bergmann, D.; Guilderson, T. P.; Weiss, R.; Keeling, R.

    2014-12-23

    Emission rates of greenhouse gases (GHGs) entering into the atmosphere can be inferred using mathematical inverse approaches that combine observations from a network of stations with forward atmospheric transport models. Some locations for collecting observations are better than others for constraining GHG emissions through the inversion, but the best locations for the inversion may be inaccessible or limited by economic and other non-scientific factors. We present a method to design an optimal GHG observing network in the presence of multiple objectives that may be in conflict with each other. As a demonstration, we use our method to design a prototypemore »network of six stations to monitor summertime emissions in California of the potent GHG 1,1,1,2-tetrafluoroethane (CH2FCF3, HFC-134a). We use a multiobjective genetic algorithm to evolve network configurations that seek to jointly maximize the scientific accuracy of the inferred HFC-134a emissions and minimize the associated costs of making the measurements. The genetic algorithm effectively determines a set of "optimal" observing networks for HFC-134a that satisfy both objectives (i.e., the Pareto frontier). The Pareto frontier is convex, and clearly shows the tradeoffs between performance and cost, and the diminishing returns in trading one for the other. Without difficulty, our method can be extended to design optimal networks to monitor two or more GHGs with different emissions patterns, or to incorporate other objectives and constraints that are important in the practical design of atmospheric monitoring networks.« less

  6. Designing optimal greenhouse gas observing networks that consider performance and cost

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Lucas, D. D.; Yver Kwok, C.; Cameron-Smith, P.; Graven, H.; Bergmann, D.; Guilderson, T. P.; Weiss, R.; Keeling, R.

    2015-06-16

    Emission rates of greenhouse gases (GHGs) entering into the atmosphere can be inferred using mathematical inverse approaches that combine observations from a network of stations with forward atmospheric transport models. Some locations for collecting observations are better than others for constraining GHG emissions through the inversion, but the best locations for the inversion may be inaccessible or limited by economic and other non-scientific factors. We present a method to design an optimal GHG observing network in the presence of multiple objectives that may be in conflict with each other. As a demonstration, we use our method to design a prototypemore »network of six stations to monitor summertime emissions in California of the potent GHG 1,1,1,2-tetrafluoroethane (CH2FCF3, HFC-134a). We use a multiobjective genetic algorithm to evolve network configurations that seek to jointly maximize the scientific accuracy of the inferred HFC-134a emissions and minimize the associated costs of making the measurements. The genetic algorithm effectively determines a set of "optimal" observing networks for HFC-134a that satisfy both objectives (i.e., the Pareto frontier). The Pareto frontier is convex, and clearly shows the tradeoffs between performance and cost, and the diminishing returns in trading one for the other. Without difficulty, our method can be extended to design optimal networks to monitor two or more GHGs with different emissions patterns, or to incorporate other objectives and constraints that are important in the practical design of atmospheric monitoring networks.« less

  7. Distributional Implications of Alternative U.S. Greenhouse Gas Control Measures

    E-Print Network [OSTI]

    Paltsev, Sergey

    We analyze the distributional and efficiency impacts of different allowance allocation schemes motivated by recently proposed U.S. climate legislation for a national cap and trade system using a new dynamic computable ...

  8. Distributional Implications of Alternative U.S. Greenhouse Gas Control Measures

    E-Print Network [OSTI]

    Rausch, Sebastian

    We analyze the distributional and efficiency impacts of different allowance allocation schemes for a national cap and trade system using the USREP model, a new recursive dynamic computable general equilibrium model of the ...

  9. An evaluation of joint repair methods for cast iron natural gas distribution mains and the preliminary development of an alternative joint seal

    E-Print Network [OSTI]

    Rogers, Thomas Edward

    1984-01-01

    Approximately 10 percent of the natural gas pumped into distribution systems is unaccounted for. A significant portion of this amount is leakage from joints in 50 to 100 year old cast iron main. Because of the cumulative ...

  10. A Self-Adaptive Middleware for Efficient Routing in Distributed Sensor Networks

    E-Print Network [OSTI]

    Duan, Sisi; Sun, Jingtao

    2015-01-01

    and D. Rubenstein: Energy-efficient computing for wildlifeIsland Hop- ping: Efficient mobility-assisted forwarding inAdaptive Middleware for Efficient Routing in Distributed

  11. Distributed Cooperative Spectrum Sensing for Overlay Self-organizing Dynamic Cognitive Radios Network Systems

    E-Print Network [OSTI]

    Chen, Chih-Kai

    2012-01-01

    and K. Yao, “Energy-based Cooperative Spectrum Sensing forof distributed energy-based cooperative spectrum sensingwe focus on the energy-based cooperative spectrum sensing

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

    E-Print Network [OSTI]

    Linderoth, Jeffrey T.

    Combining Optimization and Simulation for Strategic and Operational Industrial Gas Production-wide Optimization; Simulation Optimization; 1 Introduction Liquid oxygen (lox) and liquid nitrogen (lni and complicated. This leads to a natural question of why the schedule adjustment is so often necessary

  13. Vulnerability Analysis of Complex Networks from Transportation Networks to

    E-Print Network [OSTI]

    Nagurney, Anna

    ;Natural Gas Pipeline Network in the US #12;World Oil Trading Network #12;The study of the efficient

  14. Network Coding in Distributed, Dynamic, and Wireless Environments: Algorithms and Applications 

    E-Print Network [OSTI]

    Chaudhry, Mohammad

    2012-02-14

    based on general linear codes. For each scenario, the optimal set of paths to retrieve packets a, b, and c is shown by thick lines. : : : : 101 43 Execution of the algorithm for three-tier networks (a) A three- tier instance of Problem DDR with ve...). : : : : : : : : : : : 114 44 Execution of the algorithm for general networks. (a) A general instance for Problem DDR. (b) Construction of an auxiliary graph H(V^1; V^2; E^) (nodes in V^1 are black and nodes in V^2 are shown in white). (c) Bi-partite graphH(V^1; V^2; E...

  15. A Decomposition-based Architecture for Distributed Virtual Network Embedding Flavio Esposito Ibrahim Matta

    E-Print Network [OSTI]

    Matta, Abraham "Ibrahim"

    providers to design a distributed VN embedding protocol that adapts to different scenarios, by merely The cloud computing market is rapidly becoming domi- nated by a small set of public infrastructure providers resource auctions [20]. Although they have systematic logic behind their design, such distributed solutions

  16. Voltage and Frequency Stability of Weak Power Distribution Networks with Droop-Controlled

    E-Print Network [OSTI]

    Lemmon, Michael

    generations (DG's), based on both synchronous generators (SG's) and fast inverters, are incorporated ratio (SCR) in [2]. Connections of DG's, based on both fast inverters and synchronous generators (SG-Controlled Rotational and Electronic Distributed Generators Zhao Wang1 and Michael Lemmon1 Abstract Distributed

  17. A comparison of neural network and processbased models for vegetation distribution under global climate change

    E-Print Network [OSTI]

    climate change Eric Chown chown@cs.orst.edu Thomas G. Dietterich tgd@cs.orst.edu Department of Computer covering current climate and vegetation distribution in the coterminous United States. Completely automated on two tasks: prediction of current vegetation distribution given current climate and prediction

  18. Distribution network modeling and optimization for rapid and cost-effective deployment of oilfield drilling equipment

    E-Print Network [OSTI]

    Martchouk, Alexander

    2010-01-01

    AAA, a large oil and gas field services company, is in the business of providing drilling services to companies that extract and market hydrocarbons. One of the key success factors in this industry is the ability to provide ...

  19. Distribution:

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and Myers CoMadison -T: Designation of Sites

  20. Spectrum Leasing via Cooperative Opportunistic Routing in Distributed Ad Hoc Networks: Optimal and Heuristic Policies

    E-Print Network [OSTI]

    Rossi, Michele

    and a set of unlicensed nodes. The primary network consists of a source, a destination and a set Department of Information Engineering, University of Padova, Italy CWCSPR, New Jersey Institute of Technology of additional primary nodes that can act as relays. In addition, the secondary nodes can be used as extra relays

  1. Distributed Image Search in Camera Sensor Networks Tingxin Yan, Deepak Ganesan, R. Manmatha

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    in the amount of data communicated and up to 5x reduction in overall energy consumption over alternate-rich situations, the re- source limitations of camera sensor networks in terms of energy, bandwidth, computational- tention over recent years, as a result of rapid advances in camera sensor technologies, embedded platforms

  2. Using Batteries to Reduce the Power Costs of Internet-scale Distributed Networks

    E-Print Network [OSTI]

    Giles, C. Lee

    networks are increasingly driven by the cost of supplying power to their servers. Typically, CDNs pro- cure power through long-term contracts from co-location providers and pay on the basis of the power (KWs) pro techniques; De- sign studies Permission to make digital or hard copies of all or part of this work

  3. Design and analysis of distributed primitives for mobile ad hoc networks 

    E-Print Network [OSTI]

    Chen, Yu

    2006-10-30

    by the network, which poses a serious challenge for the design and analysis of reliable protocols. In this work, three different approaches are used to handle mobility. The first part of the dissertation employs the simple technique of ignoring the mobility...

  4. EXPLOITATION OF DISTRIBUTED SOLAR RADIATION DATABASES THROUGH A SMART NETWORK: THE PROJECT SODA

    E-Print Network [OSTI]

    Heinemann, Detlev

    ) Fraunhofer Institute for Solar Energy Systems (Germany) Abstract ­ The project SoDa answers the needs of raw data. 1. INTRODUCTION Information on solar radiation is a critical issue for the use of solar energy. Solar radiation is measured by ground networks of measuring stations, but well- controlled

  5. 384 JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 19, NO. 2, APRIL 2010 Monolithically Integrated Gas Distribution

    E-Print Network [OSTI]

    Wilamowski, Bogdan Maciej

    path for hydrogen, a power density of 30 mW/cm2 for 4 mL/min of hydrogen flow was measured, whereas a small weight, high energy density, nonpolluting operation, and easy and immediate refilling [6 distribution channels, and hydrogen diffusion layer, all built from the same substrate. An identical structure

  6. Between giant oscillations and uniform distribution of droplets -- the role of varying lumen of channels in microfluidic networks

    E-Print Network [OSTI]

    Olgierd Cybulski; Slawomir Jakiela; Piotr Garstecki

    2015-08-19

    The simplest microfluidic network (a loop) comprises two parallel channels with a common inlet and a common outlet. Recent studies, that assumed constant cross-section of the channels along their length, have shown that the sequence of droplets entering left (L) or right (R) arm of the loop can present either a uniform distribution of choices (e.g. RLRLRL...) or long sequences of repeated choices (RRR...LLL), with all the intermediate permutations being dynamically equivalent and virtually equally probable to be observed. We use experiments and computer simulations to show that even small variation of the cross-section along channels completely shifts the dynamics either into the strong preference for highly grouped patterns (RRR...LLL) that generate system-size oscillations in flow, or just the opposite - to patterns that distribute the droplets homogeneously between the arms of the loop. We also show the importance of noise in the process of self-organization of the spatio-temporal patterns of droplets. Our results provide guidelines for rational design of systems that reproducibly produce either grouped or homogeneous sequences of droplets flowing in microfluidic networks.

  7. Acoustic Source Localization via Time Difference of Arrival Estimation for Distributed Sensor Networks Using Tera-Scale Optical Core Devices

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Imam, Neena; Barhen, Jacob

    2009-01-01

    For real-time acoustic source localization applications, one of the primary challenges is the considerable growth in computational complexity associated with the emergence of ever larger, active or passive, distributed sensor networks. These sensors rely heavily on battery-operated system components to achieve highly functional automation in signal and information processing. In order to keep communication requirements minimal, it is desirable to perform as much processing on the receiver platforms as possible. However, the complexity of the calculations needed to achieve accurate source localization increases dramatically with the size of sensor arrays, resulting in substantial growth of computational requirements that cannot bemore »readily met with standard hardware. One option to meet this challenge builds upon the emergence of digital optical-core devices. The objective of this work was to explore the implementation of key building block algorithms used in underwater source localization on the optical-core digital processing platform recently introduced by Lenslet Inc. This demonstration of considerably faster signal processing capability should be of substantial significance to the design and innovation of future generations of distributed sensor networks.« less

  8. An Efficiency Measure for Dynamic Networks with Application to the Internet and Vulnerability

    E-Print Network [OSTI]

    Nagurney, Anna

    Networks Oil and natural gas networks Electricity generation and distribution networks Supply chain and Methods in Applied Sciences 4, 471-489. Daniele, P. (2004). Time-Dependent Spatial Price Equilibrium of Prices, Flows, and Profits, Edward Elgar Publishing, Cheltenham, England. Nagurney, A., Liu, Z., Cojocaru

  9. Monkey business : creating social awareness among distributed group members, using a network of animatronic agents

    E-Print Network [OSTI]

    Kern, Rachel Lori

    2006-01-01

    Members of a geographically distributed group are not normally aware of each other's presence or current activities. For example, two members of a team may be working on the same project, but they may have offices in ...

  10. Pressure difference-based sensing of leaks in water distribution networks

    E-Print Network [OSTI]

    Kornmayer, Páll Magnús

    2011-01-01

    Human society and civilization rely on the constant availability of fresh water. In regions where a local source of potable water is not available, a transportation and distribution pipe system is employed. When these pipes ...

  11. PROCEEDINGS OF THE FIFTH BERKELEY WORKSHOP ON DISTRIBUTED DATA MANAGEMENT AND COMPUTER NETWORKS

    E-Print Network [OSTI]

    Johnson, R.R.

    2011-01-01

    a Relational Data Base Management System," Proc. ACM-SIGMOD,level of large data base management systems. One reason forA distributed data base management system supports a data

  12. Legacy Computing Markup Language (LCML) and LEGEND -- LEGacy Encapsulation for Network Distribution

    E-Print Network [OSTI]

    Geiger, Stephen Kurt

    2004-01-01

    The rapid increase of computing power and emergence of distributed computing technologies such as Grid computing create new opportunities for scientific computing. One of the challenges faced in harnessing the emerging ...

  13. Assumption to the Annual Energy Outlook 2014 - Natural Gas Transmission and Distribution Module

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market Module

  14. Distribution of Natural Gas: The Final Step in the Transmission Process

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728 243,242 246,243

  15. U.S. Natural Gas Pipeline & Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData2009 2010Year Jan Feb Mar Apr Mayof(Number

  16. Idaho Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

    Gasoline and Diesel Fuel Update (EIA)

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

  17. Iowa Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Maine Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012Decade Year-0 Year-1 Year-2Commercial

  19. Model Documentation Report: Natural Gas Transmission and Distribution Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear JanFeet)August4)

  20. Model Documentation Report: Natural Gas Transmission and Distribution Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear JanFeet)August4)3

  1. Model Documentation Report: Natural Gas Transmission and Distribution Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear JanFeet)August4)34

  2. U.S. Natural Gas Pipeline & Distribution Use (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers inYear Jan Feb MarCubic Feet) YearYear

  3. U.S. Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers inYear Jan Feb MarCubic2009 2010 2011

  4. New Mexico Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,Decade Year-03.823,172YearDecadeElements) Gas andResidential

  5. New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,Decade Year-03.823,172YearDecadeElements) Gas

  6. New York Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear Jan Feb Mar Apr May JunPriceElements) Gas (Million

  7. New York Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear Jan Feb Mar Apr May JunPriceElements) Gas

  8. Ohio Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear JanNew Field DiscoveriesElements) Gas (MillionCubic

  9. Vibration control in plates by uniformly distributed PZT actuators interconnected via electric networks

    E-Print Network [OSTI]

    Stefano Vidoli; Francesco dell'Isola

    2010-07-09

    In this paper a novel device aimed at controlling the mechanical vibrations of plates by means of a set of electrically-interconnected piezoelectric actuators is described. The actuators are embedded uniformly in the plate wherein they connect every node of an electric network to ground, thus playing the two-fold role of capacitive element in the electric network and of couple suppliers. A mathematical model is introduced to describe the propagation of electro-mechanical waves in the device; its validity is restricted to the case of wave-forms with wave-length greater than the dimension of the piezoelectric actuators used. A self-resonance criterion is established which assures the possibility of electro-mechanical energy exchange. Finally the problem of vibration control in simply supported and clamped plates is addressed; the optimal net-impedance is determined. The results indicate that the proposed device can improve the performances of piezoelectric actuation

  10. Rapid deployment of oil-drilling tools utilizing distribution network and inventory strategies

    E-Print Network [OSTI]

    Rahim, Ryan

    2010-01-01

    DTS is an oil and gas services company that delivers drilling tools to six major customer districts in the continental U.S. After the tools are used at a rig, they are transported to the closest repair and maintenance (MTC) ...

  11. Hydrogen gas sensing with networks of ultra-small palladium nanowires formed on filtration membranes.

    SciTech Connect (OSTI)

    Zeng, X. Q.; Latimer, M. L.; Xiao, Z. L.; Panuganti, S.; Welp, U.; Kwok, W. K.; Xu, T.

    2010-11-29

    Hydrogen sensors based on single Pd nanowires show promising results in speed, sensitivity, and ultralow power consumption. The utilization of single Pd nanowires, however, face challenges in nanofabrication, manipulation, and achieving ultrasmall transverse dimensions. We report on hydrogen sensors that take advantage of single palladium nanowires in high speed and sensitivity and that can be fabricated conveniently. The sensors are based on networks of ultrasmall (<10 nm) palladium nanowires deposited onto commercially available filtration membranes. We investigated the sensitivities and response times of these sensors as a function of the thickness of the nanowires and also compared them with a continuous reference film. The superior performance of the ultrasmall Pd nanowire network based sensors demonstrates the novelty of our fabrication approach, which can be directly applied to palladium alloy and other hydrogen sensing materials.

  12. Spatially Resolved Mapping of Disorder Type and Distribution in Random Systems using Artificial Neural Network Recognition

    SciTech Connect (OSTI)

    Jesse, Stephen [ORNL; Kalinin, Sergei V [ORNL; Kumar, Amit [ORNL; Ovchinnikov, Oleg S [ORNL; Guo, Senli [ORNL; Griggio, Flavio [ORNL; Trolier-Mckinstry, Susan E [ORNL

    2011-01-01

    The spatial variability of the polarization dynamics in thin film ferroelectric capacitors was probed by recognition analysis of spatially-resolved spectroscopic data. Switching spectroscopy piezoresponse force microscopy was used to measure local hysteresis loops and map them on a 2D random-bond, random-field Ising model. A neural-network based recognition approach was utilized to analyze the hysteresis loops and their spatial variability. Strong variability is observed in the polarization dynamics around macroscopic cracks due to the modified local elastic and electric boundary conditions, with most pronounced effect on the length scale of ~100 nm away from the crack.

  13. Energy-Efficient Distributed Detection Via Multi-hop Transmission in Sensor Networks

    E-Print Network [OSTI]

    Dai, Huaiyu

    does not hold in practice, and makes it difficult to evaluate the true detection performance and energy expenditure. In this paper, we focus on the regime where the number of sensors is large, and investigate makes an observation Yj, i.i.d. across sensors given the hypothesis. The cumulative distribution

  14. Cyber-Physical Codesign of Distributed Structural Health Monitoring With Wireless Sensor Networks

    E-Print Network [OSTI]

    Lu, Chenyang

    the number of sen- sors and the resolution of damage localization, and (2) an energy-efficient, multi- ple, during their lifetimes, bridges suffer from environmental corrosion, persistent traffic and wind that copies are not made or distributed for profit or commercial advantage and that copies bear this notice

  15. Cooperative Distributed Scheduling for Storage Devices in Microgrids using Dynamic KKT Multipliers and Consensus Networks

    E-Print Network [OSTI]

    Chow, Mo-Yuen

    Cooperative Distributed Scheduling for Storage Devices in Microgrids using Dynamic KKT Multipliers in the proceedings of the conference. #12;1 Abstract--Scheduling of storage devices in microgrids with multiple that can optimally schedule the storage devices in a microgrid solely through peer-to-peer coordination

  16. Abstract--Enabled by a dense network of Doppler weather radars with overlapping coverage, Distributed Collaborative

    E-Print Network [OSTI]

    Kurose, Jim

    for high accuracy wind field retrieval. This paper describes the multi- user, multi-attribute utilities are very large size (28 foot diameter antenna) and very high power (half megawatt). At approximately $10-numbers of high-power, high-cost, long-range radars with a paradigm based on Distributed Collaborative Adaptive

  17. Proceedings of the sixth Berkeley workshop on distributed data management and computer networks

    SciTech Connect (OSTI)

    Various Authors

    1982-01-01

    A distributed data base management system allows data to be stored at multiple locations and to be accessed as a single unified data base. In this workshop, seventeen papers were presented which have been prepared separately for the energy data base. These items deal with data transfer, protocols and management. (GHT)

  18. Predicate Signaling in Distributed Sensor Networks Agostino Capponi K. Mani Chandy Ibrahim Fatkullin

    E-Print Network [OSTI]

    that respond to conditions include those that detect and intercept intruders, detect and warn when a tsunami. Problem Overview In this paper we study mechanisms for reducing commu- nication in distributed systems that obtain information from sensors and other sources of data, estimate the system state by processing

  19. An Electricity Trade Model for Multiple Power Distribution Networks in Smart Energy Systems

    E-Print Network [OSTI]

    Pedram, Massoud

    of the presented solutions. I. INTRODUCTION Energy efficiency optimization has drawn significant attention], [2]. Smart energy systems are thus introduced which aim at increasing the efficiency of both energy generation and distribution. The state-of-the-art smart energy systems, including resource allocation

  20. Bayesian Networks and Geographical Information Systems for Environmental Risk Assessment for Oil and Gas Site Development 

    E-Print Network [OSTI]

    Varela Gonzalez, Patricia Ysolda

    2013-04-03

    of the Environmental Sensibility of Oil and Gas (O&G) developments for a given study area. A Risk index associated with the development of O&G operation activities based on the spatial environmental sensibility was also mapped. To facilitate the Risk assessment...

  1. A Network Model for The Genesis and Migration of Gas Phase

    E-Print Network [OSTI]

    New York at Stoney Brook, State University of

    genesis, carbon dioxide sequestration, compositional flow AMS subject classification: 65C20, 68U20, 76Q05. Research has shown that anthropogenic emissions of carbon dioxide have contributed to rising mean global, of a compositional fluid consisting of water with a dissolved hydrocarbon gas. The model captures both single phase

  2. Incentive Regulation in Theory and Practice: Electricity Distribution and Transmission Networks

    E-Print Network [OSTI]

    Joskow, Paul

    2006-03-14

    . The first relates to the System Operator (SO) incentive schemes that have been offered to the National Grid Company in England and Wales discussed below. The second is the menu of sliding scale mechanisms offered to the electric distribution companies... ) the introduction of new products and services, and stimulate efficient investment in and pricing of access to regulated infrastructure services. 1 Prepared for the National Bureau of Economic Research Conference...

  3. Electrical Resistivity Investigation of Gas Hydrate Distribution in Mississippi Canyon Block 118, Gulf of Mexico

    SciTech Connect (OSTI)

    Dunbar, John

    2012-12-31

    Electrical methods offer a geophysical approach for determining the sub-bottom distribution of hydrate in deep marine environments. Methane hydrate is essentially non-conductive. Hence, sediments containing hydrate are more resistive than sediments without hydrates. To date, the controlled source electromagnetic (CSEM) method has been used in marine hydrates studies. This project evaluated an alternative electrical method, direct current resistivity (DCR), for detecting marine hydrates. DCR involves the injection of direct current between two source electrodes and the simultaneous measurement of the electric potential (voltage) between multiple receiver electrodes. The DCR method provides subsurface information comparable to that produced by the CSEM method, but with less sophisticated instrumentation. Because the receivers are simple electrodes, large numbers can be deployed to achieve higher spatial resolution. In this project a prototype seafloor DCR system was developed and used to conduct a reconnaissance survey at a site of known hydrate occurrence in Mississippi Canyon Block 118. The resulting images of sub-bottom resistivities indicate that high-concentration hydrates at the site occur only in the upper 50 m, where deep-seated faults intersect the seafloor. Overall, there was evidence for much less hydrate at the site than previously thought based on available seismic and CSEM data alone.

  4. Dual Layer Monolith ATR of Pyrolysis Oil for Distributed Synthesis Gas Production

    SciTech Connect (OSTI)

    Lawal, Adeniyi

    2012-09-29

    We have successfully demonstrated a novel reactor technology, based on BASF dual layer monolith catalyst, for miniaturizing the autothermal reforming of pyrolysis oil to syngas, the second and most critical of the three steps for thermochemically converting biomass waste to liquid transportation fuel. The technology was applied to aged as well as fresh samples of pyrolysis oil derived from five different biomass feedstocks, namely switch-grass, sawdust, hardwood/softwood, golden rod and maple. Optimization of process conditions in conjunction with innovative reactor system design enabled the minimization of carbon deposit and control of the H2/CO ratio of the product gas. A comprehensive techno-economic analysis of the integrated process using in part, experimental data from the project, indicates (1) net energy recovery of 49% accounting for all losses and external energy input, (2) weight of diesel oil produced as a percent of the biomass to be ~14%, and (3) for a �demonstration� size biomass to Fischer-Tropsch liquid plant of ~ 2000 daily barrels of diesel, the price of the diesel produced is ~$3.30 per gallon, ex. tax. However, the extension of catalyst life is critical to the realization of the projected economics. Catalyst deactivation was observed and the modes of deactivation, both reversible and irreversible were identified. An effective catalyst regeneration strategy was successfully demonstrated for reversible catalyst deactivation while a catalyst preservation strategy was proposed for preventing irreversible catalyst deactivation. Future work should therefore be focused on extending the catalyst life, and a successful demonstration of an extended (> 500 on-stream hours) catalyst life would affirm the commercial viability of the process.

  5. Investigation of detailed film cooling effectiveness and heat transfer distributions on a gas turbine airfoil

    SciTech Connect (OSTI)

    Drost, U.; Boelcs, A. [Swiss Federal Inst. of Tech., Lausanne (Switzerland)

    1999-04-01

    In the present study film cooling effectiveness and heat transfer were systematically investigated on a turbine NGV airfoil employing the transient liquid crystal technique and a multiple regression procedure. Tests were conducted in a linear cascade at exit Reynolds numbers of 0.52e6, 1.02e6 and 1.45e6 and exit Mach numbers of 0.33, 0.62 and 0.8, at two mainstream turbulence intensities of 5.5 and 10%. The film cooling geometry consisted of a single compound angle row on the pressure side (PS), and a single or a double row on the suction side (SS). Foreign gas injection was used to obtain a density ratio of approximately 1.65, while air injection yielded a density ratio of unity. Tests were conducted for blowing ratios of 0.25 to 2.3 on the SS, and 0.55 to 7.3 on the PS. In general film cooling injection into a laminar BL showed considerably higher effectiveness in the near-hole region, as compared to a turbulent BL. While mainstream turbulence had only a weak influence on SS cooling, higher effectiveness was noted on the PS at high turbulence due to increased lateral spreading of the coolant. Effects of mainstream Mach and Reynolds number were attributed to changes of the BL thickness and flow acceleration. Higher density coolant yielded higher effectiveness on both SS and PS, whereas heat transfer ratios were increased on the SS and decreased on the PS. Comparison of the single and double row cooling configurations on the SS revealed a better film cooling performance of the double row due to an improved film coverage and delayed jet separation.

  6. Between giant oscillations and uniform distribution of droplets -- the role of varying lumen of channels in microfluidic networks

    E-Print Network [OSTI]

    Cybulski, Olgierd; Garstecki, Piotr

    2015-01-01

    The simplest microfluidic network (a loop) comprises two parallel channels with a common inlet and a common outlet. Recent studies, that assumed constant cross-section of the channels along their length, have shown that the sequence of droplets entering left (L) or right (R) arm of the loop can present either a uniform distribution of choices (e.g. RLRLRL...) or long sequences of repeated choices (RRR...LLL), with all the intermediate permutations being dynamically equivalent and virtually equally probable to be observed. We use experiments and computer simulations to show that even small variation of the cross-section along channels completely shifts the dynamics either into the strong preference for highly grouped patterns (RRR...LLL) that generate system-size oscillations in flow, or just the opposite - to patterns that distribute the droplets homogeneously between the arms of the loop. We also show the importance of noise in the process of self-organization of the spatio-temporal patterns of droplets. Our...

  7. Quantum key distribution for 10 Gb/s dense wavelength division multiplexing networks

    SciTech Connect (OSTI)

    Patel, K. A.; Dynes, J. F.; Lucamarini, M.; Choi, I.; Sharpe, A. W.; Yuan, Z. L. Shields, A. J.; Penty, R. V.

    2014-02-03

    We demonstrate quantum key distribution (QKD) with bidirectional 10 Gb/s classical data channels in a single fiber using dense wavelength division multiplexing. Record secure key rates of 2.38 Mbps and fiber distances up to 70?km are achieved. Data channels are simultaneously monitored for error-free operation. The robustness of QKD is further demonstrated with a secure key rate of 445 kbps over 25?km, obtained in the presence of data lasers launching conventional 0 dBm power. We discuss the fundamental limit for the QKD performance in the multiplexing environment.

  8. How (Not) to Protect Genomic Data Privacy in a Distributed Network: Using Trail Re-identification to Evaluate and Design Privacy Protection Systems

    E-Print Network [OSTI]

    1 How (Not) to Protect Genomic Data Privacy in a Distributed Network: Using Trail Re-specific genomic data into clinical practice and research raises serious privacy concerns. Various systems have being disclosed, they lack formal proofs. In this paper, we study the erosion of privacy when genomic

  9. Expansion and Change on the U.S. Natural Gas Pipeline Network 2002

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969Central RegionReportingElectricity

  10. Additions to Capacity on the U.S. Natural Gas Pipeline Network: 2007

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers THURSDAY, August 27,(Million Cubic7,096

  11. Natural Gas Compressor Stations on the Interstate Pipeline Network: Developments Since 1996

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYear Jan FebYear Jan Feb Mar Apr MayCompressor

  12. Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De pEnergy Industrial Local GovernmentDepartment ofFinalPage

  13. Updated greenhouse gas and criteria air pollutant emission factors and their probability distribution functions for electricity generating units

    SciTech Connect (OSTI)

    Cai, H.; Wang, M.; Elgowainy, A.; Han, J.

    2012-07-06

    Greenhouse gas (CO{sub 2}, CH{sub 4} and N{sub 2}O, hereinafter GHG) and criteria air pollutant (CO, NO{sub x}, VOC, PM{sub 10}, PM{sub 2.5} and SO{sub x}, hereinafter CAP) emission factors for various types of power plants burning various fuels with different technologies are important upstream parameters for estimating life-cycle emissions associated with alternative vehicle/fuel systems in the transportation sector, especially electric vehicles. The emission factors are typically expressed in grams of GHG or CAP per kWh of electricity generated by a specific power generation technology. This document describes our approach for updating and expanding GHG and CAP emission factors in the GREET (Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation) model developed at Argonne National Laboratory (see Wang 1999 and the GREET website at http://greet.es.anl.gov/main) for various power generation technologies. These GHG and CAP emissions are used to estimate the impact of electricity use by stationary and transportation applications on their fuel-cycle emissions. The electricity generation mixes and the fuel shares attributable to various combustion technologies at the national, regional and state levels are also updated in this document. The energy conversion efficiencies of electric generating units (EGUs) by fuel type and combustion technology are calculated on the basis of the lower heating values of each fuel, to be consistent with the basis used in GREET for transportation fuels. On the basis of the updated GHG and CAP emission factors and energy efficiencies of EGUs, the probability distribution functions (PDFs), which are functions that describe the relative likelihood for the emission factors and energy efficiencies as random variables to take on a given value by the integral of their own probability distributions, are updated using best-fit statistical curves to characterize the uncertainties associated with GHG and CAP emissions in life-cycle modeling with GREET.

  14. Network

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeatMaRIEdioxide capture CSNationalNational UserNaval TheNetwork

  15. Sparger Effects on Gas Volume Fraction Distributions in Vertical Bubble-Column Flows as Measured by Gamma-Densitometry Tomography

    SciTech Connect (OSTI)

    GEORGE,DARIN L.; SHOLLENBERGER,KIM ANN; TORCZYNSKI,JOHN R.

    2000-01-18

    Gamma-densitometry tomography is applied to study the effect of sparger hole geometry, gas flow rate, column pressure, and phase properties on gas volume fraction profiles in bubble columns. Tests are conducted in a column 0.48 m in diameter, using air and mineral oil, superficial gas velocities ranging from 5 to 30 cm s{sup -1}, and absolute column pressures from 103 to 517 kPa. Reconstructed gas volume fraction profiles from two sparger geometries are presented. The development length of the gas volume fraction profile is found to increase with gas flow rate and column pressure. Increases in gas flow rate increase the local gas volume fraction preferentially on the column axis, whereas increases in column pressure produce a uniform rise in gas volume fraction across the column. A comparison of results from the two spargers indicates a significant change in development length with the number and size of sparger holes.

  16. Exploring a Centralized/Distributed Hybrid Routing Protocol for Low Power Wireless Networks and Large-Scale Datacenters

    E-Print Network [OSTI]

    Tavakoli, Arsalan

    2009-01-01

    5.1.1 Datacenter Network Architecture . . . . . . . . 5.1.2Switching Layer for Data Centers 5.1 Datacenter Routing anda) Prevalent 3-layer datacenter network topology. (b) Layer-

  17. Distributed Estimation Distributed Estimation

    E-Print Network [OSTI]

    Gupta, Vijay

    with a Star Topology 2 2.1 Static Sensor Fusion . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.1.1 Combining Estimators . . . . . . . . . . . . . . . . . . . . 3 2.1.2 Static Sensor Fusion for Star Topology;Distributed Estimation 3 Non-Ideal Networks with Star Topology 10 3.1 Sensor Fusion in Presence of Message

  18. Economic regulation of electricity distribution utilities under high penetration of distributed energy resources : applying an incentive compatible menu of contracts, reference network model and uncertainty mechanisms

    E-Print Network [OSTI]

    Jenkins, Jesse D. (Jesse David)

    2014-01-01

    Ongoing changes in the use and management of electricity distribution systems - including the proliferation of distributed energy resources, smart grid technologies (i.e., advanced power electronics and information and ...

  19. Explorer-II: Wireless Self-Powered Visual and NDE Robotic Inspection System for Live Gas Distribution Mains

    SciTech Connect (OSTI)

    Carnegie Mellon University

    2008-09-30

    Carnegie Mellon University (CMU) under contract from Department of Energy/National Energy Technology Laboratory (DoE/NETL) and co-funding from the Northeast Gas Association (NGA), has completed the overall system design, field-trial and Magnetic Flux Leakage (MFL) sensor evaluation program for the next-generation Explorer-II (X-II) live gas main Non-destructive Evaluation (NDE) and visual inspection robot platform. The design is based on the Explorer-I prototype which was built and field-tested under a prior (also DoE- and NGA co-funded) program, and served as the validation that self-powered robots under wireless control could access and navigate live natural gas distribution mains. The X-II system design ({approx}8 ft. and 66 lbs.) was heavily based on the X-I design, yet was substantially expanded to allow the addition of NDE sensor systems (while retaining its visual inspection capability), making it a modular system, and expanding its ability to operate at pressures up to 750 psig (high-pressure and unpiggable steel-pipe distribution mains). A new electronics architecture and on-board software kernel were added to again improve system performance. A locating sonde system was integrated to allow for absolute position-referencing during inspection (coupled with external differential GPS) and emergency-locating. The power system was upgraded to utilize lithium-based battery-cells for an increase in mission-time. The resulting robot-train system with CAD renderings of the individual modules. The system architecture now relies on a dual set of end camera-modules to house the 32-bit processors (Single-Board Computer or SBC) as well as the imaging and wireless (off-board) and CAN-based (on-board) communication hardware and software systems (as well as the sonde-coil and -electronics). The drive-module (2 ea.) are still responsible for bracing (and centering) to drive in push/pull fashion the robot train into and through the pipes and obstacles. The steering modules and their arrangement, still allow the robot to configure itself to perform any-angle (up to 90 deg) turns in any orientation (incl. vertical), and enable the live launching and recovery of the system using custom fittings and a (to be developed) launch-chamber/-tube. The battery modules are used to power the system, by providing power to the robot's bus. The support modules perform the functions of centration for the rest of the train as well as odometry pickups using incremental encoding schemes. The electronics architecture is based on a distributed (8-bit) microprocessor architecture (at least 1 in ea. module) communicating to a (one of two) 32-bit SBC, which manages all video-processing, posture and motion control as well as CAN and wireless communications. The operator controls the entire system from an off-board (laptop) controller, which is in constant wireless communication with the robot train in the pipe. The sensor modules collect data and forward it to the robot operator computer (via the CAN-wireless communications chain), who then transfers it to a dedicated NDE data-storage and post-processing computer for further (real-time or off-line) analysis. The prototype robot system was built and tested indoors and outdoors, outfitted with a Remote-Field Eddy Current (RFEC) sensor integrated as its main NDE sensor modality. An angled launcher, allowing for live launching and retrieval, was also built to suit custom angled launch-fittings from TDW. The prototype vehicle and launcher systems are shown. The complete system, including the in-pipe robot train, launcher, integrated NDE-sensor and real-time video and control console and NDE-data collection and -processing and real-time display, were demonstrated to all sponsors prior to proceeding into final field-trials--the individual components and setting for said acceptance demonstration are shown. The launcher-tube was also used to verify that the vehicle system is capable of operating in high-pressure environments, and is safely deployable using proper evacuating/purging techniques for operation in the po

  20. Natural gas pipeline technology overview.

    SciTech Connect (OSTI)

    Folga, S. M.; Decision and Information Sciences

    2007-11-01

    The United States relies on natural gas for one-quarter of its energy needs. In 2001 alone, the nation consumed 21.5 trillion cubic feet of natural gas. A large portion of natural gas pipeline capacity within the United States is directed from major production areas in Texas and Louisiana, Wyoming, and other states to markets in the western, eastern, and midwestern regions of the country. In the past 10 years, increasing levels of gas from Canada have also been brought into these markets (EIA 2007). The United States has several major natural gas production basins and an extensive natural gas pipeline network, with almost 95% of U.S. natural gas imports coming from Canada. At present, the gas pipeline infrastructure is more developed between Canada and the United States than between Mexico and the United States. Gas flows from Canada to the United States through several major pipelines feeding U.S. markets in the Midwest, Northeast, Pacific Northwest, and California. Some key examples are the Alliance Pipeline, the Northern Border Pipeline, the Maritimes & Northeast Pipeline, the TransCanada Pipeline System, and Westcoast Energy pipelines. Major connections join Texas and northeastern Mexico, with additional connections to Arizona and between California and Baja California, Mexico (INGAA 2007). Of the natural gas consumed in the United States, 85% is produced domestically. Figure 1.1-1 shows the complex North American natural gas network. The pipeline transmission system--the 'interstate highway' for natural gas--consists of 180,000 miles of high-strength steel pipe varying in diameter, normally between 30 and 36 inches in diameter. The primary function of the transmission pipeline company is to move huge amounts of natural gas thousands of miles from producing regions to local natural gas utility delivery points. These delivery points, called 'city gate stations', are usually owned by distribution companies, although some are owned by transmission companies. Compressor stations at required distances boost the pressure that is lost through friction as the gas moves through the steel pipes (EPA 2000). The natural gas system is generally described in terms of production, processing and purification, transmission and storage, and distribution (NaturalGas.org 2004b). Figure 1.1-2 shows a schematic of the system through transmission. This report focuses on the transmission pipeline, compressor stations, and city gates.

  1. The systems engineering of a network-centric distributed intelligent system of systems for robust human behavior classifications

    E-Print Network [OSTI]

    Goshorn, Deborah Ellen

    2010-01-01

    plemented includes an intelligent sensor network, requiredto create an intelligent sensor, there is the ability ofwithin a single intelligent sensor. Choosing the underlying

  2. Exploring a Centralized/Distributed Hybrid Routing Protocol for Low Power Wireless Networks and Large-Scale Datacenters

    E-Print Network [OSTI]

    Tavakoli, Arsalan

    2009-01-01

    we have modified a Meraki Mini wireless router to serve as awireless networks (L2Ns) are composed of a subnet of embedded net- working devices (Node Routers,

  3. Gas-powered integration

    SciTech Connect (OSTI)

    Hawrylyshyn, G.

    1993-05-01

    Popularly known as the Brazil/Bolivia Gas Deal, the project consists of a 20-year agreement to supply Bolivian natural gas to heavily industrialized southern Brazil. This is an inter-regional undertaking comparable in scope and significance to pipeline projects in Europe and the gas networks between the USA and Canada and Mexico. The Brazil/Boliviz agreement call foe a 10-month period to obtain financing and 30 months to build the 1,376 mile main pipeline, a job that will be undertaken individually by each country within its territory. The pipelines will meet at the border in Corumba. Aside from the main gasline, the 20-year agreement will also require the laying of 1,184 kilometers (736 miles) of additional feeder and distribution pipelines in Brazil, raising the total pipe mileage to 3,389 kilometers. Then there is the need to build the whole infrastructure for gas distribution facilities and to switch to gas to power the equipment in thousands of industrial plants, commercial establishments and residences. The total investment in this undertaking is estimated to surpass US$10 billion.

  4. Operations Research and the Captivating Study of Networks

    E-Print Network [OSTI]

    Nagurney, Anna

    Paradox and Evolutionary Variational Inequalities · A New Network Performance/Efficiency Measure Networks Duke Energy Gas Pipeline Network Transportation, Communication, and Energy Networks #12;Components of Networks · The Transportation Network Equilibriumn Problem and Methodological Tools · The Braess Paradox

  5. Robustness of TransEuropean Gas Networks: The Hot Backbone Rui Carvalho, 1, # Lubos Buzna, 2, 3, + Flavio Bono, 4, # Eugenio Gutierrez, 4 Wolfram Just, 1 and David Arrowsmith 1

    E-Print Network [OSTI]

    Wright, Francis

    [1, 2]. Oil and gas prices are volatile because of geopolitical and financial crises. The rate instead of oil for transporta­ tion [2], and gas­fired power plants are responsible for the production countries. Historically, critical infrastructure networks have evolved under the pressure to minimize local

  6. Controlling Methane Emissions in the Natural Gas Sector. A Review of Federal and State Regulatory Frameworks Governing Production, Gathering, Processing, Transmission, and Distribution

    SciTech Connect (OSTI)

    Paranhos, Elizabeth; Kozak, Tracy G.; Boyd, William; Bradbury, James; Steinberg, D. C.; Arent, D. J.

    2015-04-23

    This report provides an overview of the regulatory frameworks governing natural gas supply chain infrastructure siting, construction, operation, and maintenance. Information was drawn from a number of sources, including published analyses, government reports, in addition to relevant statutes, court decisions and regulatory language, as needed. The scope includes all onshore facilities that contribute to methane emissions from the natural gas sector, focusing on three areas of state and federal regulations: (1) natural gas pipeline infrastructure siting and transportation service (including gathering, transmission, and distribution pipelines), (2) natural gas pipeline safety, and (3) air emissions associated with the natural gas supply chain. In addition, the report identifies the incentives under current regulatory frameworks to invest in measures to reduce leakage, as well as the barriers facing investment in infrastructure improvement to reduce leakage. Policy recommendations regarding how federal or state authorities could regulate methane emissions are not provided; rather, existing frameworks are identified and some of the options for modifying existing regulations or adopting new regulations to reduce methane leakage are discussed.

  7. Topic 2: Introduction to Smart Grid A.H. MohsenianRad (U of T) 1Networking and Distributed Systems

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    . They are beginning to be used on electricity networks, from the power plants and wind farms all the way of supply and demand · 2. Minimizing the Need to Construct Back-up (Peak Load) Power Plants ­ Better demand

  8. Exploring a Centralized/Distributed Hybrid Routing Protocol for Low Power Wireless Networks and Large-Scale Datacenters

    E-Print Network [OSTI]

    Tavakoli, Arsalan

    2009-01-01

    characterized as dynamic high-churn environ- ments with low-cases of networking: high-churn, low-bandwidth environmentsend of spectrum, and low-churn, high-bandwidth environments

  9. Burden distribution control for maintaining the central gas flow at No. 1 blast furnace in Pohang Works

    SciTech Connect (OSTI)

    Jung, S.K.; Lee, Y.J.; Suh, Y.K.; Ahn, T.J.; Kim, S.M. [Pohang Iron and Steel Co. Ltd. (Korea, Republic of). Technical Research Labs.

    1995-12-01

    The causes for temperature lowering at the upper shaft center in Pohang No. 1 blast furnace were investigated. The test operation with charging notch change in the actual blast furnace and with a 1/12 scale model to Pohang No. 1 blast furnace were carried out in order to improve central gas flow in the shaft. Finally, rebuilding of the lower bunker interior was performed using the results of model experiments. It was confirmed that the main reason for the gas temperature lowering at the upper shaft center was the smaller particle size at center than the wall according to the discharging characteristics of center feed bunker with stone box. The central gas flow could be secured through modifying the stone box in the bunker.

  10. Water Network Design by MINLP

    E-Print Network [OSTI]

    2008-02-12

    We propose a solution method for a water-network optimization problem using a ... The optimal design of a WDN (Water Distribution Network) consists, in its ...

  11. SPAPI: A Security and Protection Architecture for Physical Infrastructures and Its Deployment Strategy Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Strategy Using Wireless Sensor Networks Hafiz Abdur Rahman Department of ECE University of British Columbia Vancouver, Canada rahmanha@ece.ubc.ca Konstantin Beznosov Department of ECE University of British Columbia, electricity, telecommunication, gas and petroleum distribution networks; interstate roads, etc. Until recently

  12. Using the PALS Architecture to Verify a Distributed Topology Control Protocol for Wireless Multi-Hop Networks in the Presence of Node Failures

    E-Print Network [OSTI]

    Katelman, Michael; 10.4204/EPTCS.36.6

    2010-01-01

    The PALS architecture reduces distributed, real-time asynchronous system design to the design of a synchronous system under reasonable requirements. Assuming logical synchrony leads to fewer system behaviors and provides a conceptually simpler paradigm for engineering purposes. One of the current limitations of the framework is that from a set of independent "synchronous machines", one must compose the entire synchronous system by hand, which is tedious and error-prone. We use Maude's meta-level to automatically generate a synchronous composition from user-provided component machines and a description of how the machines communicate with each other. We then use the new capabilities to verify the correctness of a distributed topology control protocol for wireless networks in the presence of nodes that may fail.

  13. Center for Excellence in Logistics and Distribution

    E-Print Network [OSTI]

    Noble, James S.

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

  14. IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 56, NO. 9, SEPTEMBER 2010 4539 Network Coding for Distributed Storage Systems

    E-Print Network [OSTI]

    Wainwright, Martin J.

    for Distributed Storage Systems Alexandros G. Dimakis, Member, IEEE, P. Brighten Godfrey, Student Member, IEEE Abstract--Distributed storage systems provide reliable access to data through redundancy spread over individually unreliable nodes. Application scenarios include data centers, peer-to-peer storage systems

  15. An Energy-Aware Simulation Model and Transaction Protocol for Dynamic Workload Distribution in Mobile Ad Hoc Networks1

    E-Print Network [OSTI]

    Pedram, Massoud

    An Energy-Aware Simulation Model and Transaction Protocol for Dynamic Workload Distribution an undesirable occurrence. Uneven distribution of energy resources and computational workloads is especially for detailed evaluation of the performance of different energy management policies in a MANET. Next it presents

  16. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Freight Network World Oil Routes Natural Gas Flows Network Systems Internet Traffic Anna Nagurney in decision-making; constraints on resources: human, financial, natural, time, etc.; global reach of many of Networks Today large-scale nature and complexity of network topology; congestion, which leads

  17. Using Neural Networks 

    E-Print Network [OSTI]

    Gabel, S.

    2003-01-01

    A neural network approach is employed for estimating key efficiency parameters in a gas turbine engine. The concept is demonstrated within a limited operating region for a given engine. The neural network is developed to estimate certain...

  18. Spatial Distribution of U.S. Household Carbon Footprints Reveals Suburbanization Undermines Greenhouse Gas Benefits of Urban

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Spatial Distribution of U.S. Household Carbon Footprints Reveals Suburbanization Undermines that were used to derive average household carbon footprints (HCF) for U.S. zip codes, cities, counties, and metropolitan areas. We find consistently lower HCF in urban core cities (40 tCO2e) and higher carbon footprints

  19. Operations Research and the Captivating Study of Networks

    E-Print Network [OSTI]

    Nagurney, Anna

    Variational Inequalities · A New Network Performance/Efficiency Measure with Applications to Critical Networks Duke Energy Gas Pipeline Network Transportation, Communication, and Energy Networks #12;Components · The Transportation Network Equilibriumn Problem and Methodological Tools · The Braess Paradox · Some Interesting

  20. AMO Industrial Distributed Energy: Industrial Distributed Energy...

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

    in owning and operating costs, thereby improving the economics of distributed power generation using reciprocating gas engines. Caterpillar's Phase I technologies have...