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Note: This page contains sample records for the topic "gas distribution network" from the National Library of EnergyBeta (NLEBeta).
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1

Resilience-Based Design of Natural Gas Distribution Networks  

E-Print Network (OSTI)

Case Study Resilience-Based Design of Natural Gas Distribution Networks G. P. Cimellaro, Ph.D., A response to natural disasters. In this paper, a new performance index measuring the functionality of a gas; Disaster resilience; Vulnerability; Gas networks; Damage assessment; Lifelines; Serviceability; Natural gas

Bruneau, Michel

2

Natural Gas Transmission and Distribution Module  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 129 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. Natural gas flow patterns are a function of the pattern in the previous year, coupled

3

Natural Gas Transmission and Distribution Module This  

Gasoline and Diesel Fuel Update (EIA)

This This page inTenTionally lefT blank 127 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through a regional interstate representative pipeline network, for both a peak (December through March) and off-peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. Natural gas flow patterns are a function of the

4

127 Natural Gas Transmission and Distribution Module  

E-Print Network (OSTI)

and border prices, end-use prices, and flows of natural gas through a regional interstate representative pipeline network, for both a peak (December through March) and off-peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. Natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of the supply options available to bring gas to market centers within each of the NGTDM regions (Figure 9). The major assumptions used within the NGTDM are grouped into four general categories. They relate to (1) structural components of the model, (2) capacity expansion and pricing of transmission and distribution services, (3) Arctic pipelines, and (4) imports and exports. A complete listing of NGTDM assumptions and in-depth

Key Assumptions

5

EIA - Natural Gas Pipeline Network - Underground Natural Gas Storage  

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

Storage Storage About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Underground Natural Gas Storage Overview | Regional Breakdowns Overview Underground natural gas storage provides pipelines, local distribution companies, producers, and pipeline shippers with an inventory management tool, seasonal supply backup, and access to natural gas needed to avoid imbalances between receipts and deliveries on a pipeline network. There are three principal types of underground storage sites used in the United States today. They are: · depleted natural gas or oil fields (326), · aquifers (43), or · salt caverns (31). In a few cases mine caverns have been used. Most underground storage facilities, 82 percent at the beginning of 2008, were created from reservoirs located in depleted natural gas production fields that were relatively easy to convert to storage service, and that were often close to consumption centers and existing natural gas pipeline systems.

6

Distributed Hydrogen Production from Natural Gas: Independent...  

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

Distributed Hydrogen Production from Natural Gas: Independent Review Panel Report Distributed Hydrogen Production from Natural Gas: Independent Review Panel Report Independent...

7

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Natural Gas: Transmission, Storage and Distribution Agenda: Natural Gas: Transmission, Storage and Distribution A Public Meeting on the Quadrennial Energy Review, Hosted by the...

8

Natural Gas Transmission and Distribution Module  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and...

9

Natural Gas Transmission and Distribution Module  

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

31, 2012, Washington, DC Major assumption changes for AEO2013 Oil and Gas Working Group Natural Gas Transmission and Distribution Module DRAFT WORKING GROUP PRESENTATION DO NOT...

10

16 - Biomethane injection into natural gas networks  

Science Journals Connector (OSTI)

Abstract: Biomethane is a flexible and easily storable fuel that can be used wherever natural gas is used without the need to change any settings on equipment designed to use natural gas. In regions where a natural gas grid already exists, there is a ready-made system for the distribution of biomethane. This chapter briefly introduces: the legal framework and technical standards of biomethane feed-in into the gas network in Germany; the different subsidy schemes and reliefs to encourage biomethane production or utilization; and the different available options for biomethane feed-in and feed-in facilities. The chapter also looks at one of the most challenging aspects of biomethane feed-in costs and energy efficiency and outlines several options for improvement.

Wolfgang Urban

2013-01-01T23:59:59.000Z

11

GAS MAIN SENSOR AND COMMUNICATIONS NETWORK SYSTEM  

SciTech Connect

Automatika, Inc. was contracted by the Department of Energy (DOE) and with co-funding from the New York Gas Group (NYGAS), to develop an in-pipe natural gas prototype measurement and wireless communications system for assessing and monitoring distribution networks. A prototype system was built for low-pressure cast-iron mains and tested in a spider- and serial-network configuration in a live network in Long Island with the support of Keyspan Energy, Inc. The prototype unit combined sensors capable of monitoring pressure, flow, humidity, temperature and vibration, which were sampled and combined in data-packages in an in-pipe master-slave architecture to collect data from a distributed spider-arrangement, and in a master-repeater-slave configuration in serial or ladder-network arrangements. It was found that the system was capable of performing all data-sampling and collection as expected, yielding interesting results as to flow-dynamics and vibration-detection. Wireless in-pipe communications were shown to be feasible and valuable data was collected in order to determine how to improve on range and data-quality in the future.

Hagen Schempf, Ph.D.

2003-02-27T23:59:59.000Z

12

EIA - Natural Gas Pipeline Network - Combined Natural Gas Transportation  

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

Combined Natural Gas Transportation Maps Combined Natural Gas Transportation Maps About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates U.S. Natural Gas Pipeline Network Map of U.S. Natural Gas Pipeline Network Major Natural Gas Supply Basins Relative to Natural Gas Pipeline Transportation Corridors Map of Major Natural Gas Supply Basins Relative to Natural Gas Pipeline Transportation Corridors see related text enlarge see related text enlarge U.S. Regional Breakdown Map of U.S. Regional Breakout States (in Grey) Highly Dependent on Interstate Pipelines for Natural Gas Supplies Map of States (in Grey) Highly Dependent on Interstate Pipelines for Natural Gas Supplies

13

Gas Main Sensor and Communications Network System  

SciTech Connect

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.

Hagen Schempf

2006-05-31T23:59:59.000Z

14

Network Reconfiguration at the Distribution System with Distributed Generators  

Science Journals Connector (OSTI)

This article proposes a novel model for distribution network reconfiguration to meet current distribution system operating demands. In the model the connection of distributed generators to distribution system is ...

Gao Xiaozhi; Li Linchuan; Xue Hailong

2010-01-01T23:59:59.000Z

15

Evolving networks with bimodal degree distribution  

Science Journals Connector (OSTI)

Networks with bimodal degree distribution are most robust to targeted and random attacks. We present a model for constructing a network with bimodal degree distribution. The procedure adopted is to add nodes ...

Abhijeet R. Sonawane; A. Bhattacharyay; M. S. Santhanam

2012-04-01T23:59:59.000Z

16

GAS MAIN SENSOR AND COMMUNICATIONS NETWORK SYSTEM  

SciTech Connect

Automatika, Inc. was contracted by the Department of Energy (DOE) and with co-funding from the New York Gas Group (NYGAS), to develop an in-pipe natural gas prototype measurement and wireless communications system for assessing and monitoring distribution networks. In Phase II of this three-phase program, an improved prototype system was built for low-pressure cast-iron and high-pressure steel (including a no-blow installation system) mains and tested in a serial-network configuration in a live network in Long Island with the support of Keyspan Energy, Inc. The experiment was carried out in several open-hole excavations over a multi-day period. The prototype units (3 total) combined sensors capable of monitoring pressure, flow, humidity, temperature and vibration, which were sampled and combined in data-packages in an in-pipe master-repeater-slave configuration in serial or ladder-network arrangements. It was verified that the system was capable of performing all data-sampling, data-storage and collection as expected, yielding interesting results as to flow-dynamics and vibration-detection. Wireless in-pipe communications were shown to be feasible and the system was demonstrated to run off in-ground battery- and above-ground solar power. The remote datalogger access and storage-card features were demonstrated and used to log and post-process system data. Real-time data-display on an updated Phase-I GUI was used for in-field demonstration and troubleshooting.

Hagen Schempf

2004-09-30T23:59:59.000Z

17

EIA - Natural Gas Pipeline Network - Intrastate Natural Gas Pipeline  

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

Intrastate Natural Gas Pipeline Segment Intrastate Natural Gas Pipeline Segment About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Intrastate Natural Gas Pipeline Segment Overview Intrastate natural gas pipelines operate within State borders and link natural gas producers to local markets and to the interstate pipeline network. Approximately 29 percent of the total miles of natural gas pipeline in the U.S. are intrastate pipelines. Although an intrastate pipeline system is defined as one that operates totally within a State, an intrastate pipeline company may have operations in more than one State. As long as these operations are separate, that is, they do not physically interconnect, they are considered intrastate, and are not jurisdictional to the Federal Energy Regulatory Commission (FERC). More than 90 intrastate natural gas pipelines operate in the lower-48 States.

18

Alternative Fuels Data Center: Natural Gas Production and Distribution  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Production Production and Distribution to someone by E-mail Share Alternative Fuels Data Center: Natural Gas Production and Distribution on Facebook Tweet about Alternative Fuels Data Center: Natural Gas Production and Distribution on Twitter Bookmark Alternative Fuels Data Center: Natural Gas Production and Distribution on Google Bookmark Alternative Fuels Data Center: Natural Gas Production and Distribution on Delicious Rank Alternative Fuels Data Center: Natural Gas Production and Distribution on Digg Find More places to share Alternative Fuels Data Center: Natural Gas Production and Distribution on AddThis.com... More in this section... Natural Gas Basics Production & Distribution Related Links Benefits & Considerations Stations Vehicles Laws & Incentives Natural Gas Production and Distribution

19

On parton distributions in a photon gas  

E-Print Network (OSTI)

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.

I. Alikhanov

2009-06-19T23:59:59.000Z

20

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

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

Network Configuration & System Design Network Configuration & System Design About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Network Configuration and System Design Overview | Transmission/Storage | Design Criteria | Importance of Storage| Overall Pipeline System Configuration Overview A principal requirement of the natural gas transmission system is that it be capable of meeting the peak demand of its shippers who have contracts for firm service. To meet this requirement, the facilities developed by the natural gas transmission industry are a combination of transmission pipelines to bring the gas to the market areas and of underground natural gas storage sites and liquefied natural gas (LNG) peaking facilities located in the market areas.

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


21

WHAT IS A NETWORK? (Gas and Electricity) A complex, interconnected group or  

E-Print Network (OSTI)

WHAT IS A NETWORK? (Gas and Electricity) A complex, interconnected group or system Electricity and Gas: A system used to distribute electricity and gas around the world/certain area, by compromising to minimise costs and generate the most electricity and gas as possible, which maximises profits

Wright, Francis

22

Nonlinear DSTATCOM controller design for distribution network with distributed generation to enhance voltage stability  

E-Print Network (OSTI)

Nonlinear DSTATCOM controller design for distribution network with distributed generation Accepted 19 June 2013 Keywords: Distributed generation Distribution network DSATACOM Partial feedback connected to a distribution network with distributed generation (DG) to regulate the line voltage

Pota, Himanshu Roy

23

EIA - Natural Gas Pipeline Network - Major Natural Gas Transportation  

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

Natural Gas Transportation Corridors Natural Gas Transportation Corridors About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Major Natural Gas Transportation Corridors Corridors from the Southwest | From Canada | From Rocky Mountain Area | Details about Transportation Corridors The national natural gas delivery network is intricate and expansive, but most of the major transportation routes can be broadly categorized into 11 distinct corridors or flow patterns. 5 major routes extend from the producing areas of the Southwest 4 routes enter the United States from Canada 2 originate in the Rocky Mountain area. A summary of the major corridors and links to details about each corridor are provided below. Corridors from the Southwest Region

24

An Energy Transmission and Distribution Network Using Electric Vehicles  

E-Print Network (OSTI)

An Energy Transmission and Distribution Network Using Electric Vehicles Ping Yi, Ting Zhu, Bo Jiang-to-grid provides a viable approach that feeds the battery energy stored in electric vehicles (EVs) back biggest greenhouse gas producer in the world [1]. Many countries have been developing electric vehicles

Wang, Bing

25

ANALYSIS AND APPLICATION OF INDUCTANCE IN CLOCK DISTRIBUTION NETWORKS  

E-Print Network (OSTI)

Distribution Network Background 2.1 Clock Network DesignClock distribution techniques for low-EMI design. Springerclock distribution in high-performance designs due to their

Hu, Xuchu

2012-01-01T23:59:59.000Z

26

Definition: Distribution Automation Communications Network | Open Energy  

Open Energy Info (EERE)

Automation Communications Network Automation Communications Network Jump to: navigation, search Dictionary.png Distribution Automation Communications Network A communications network or networks designed to deliver control signals and information between distribution automation devices, and between these devices and utility grid control systems. These networks can utilize wired or wireless connections, and can be utility-owned or provided as services by a third party.[1] Related Terms distribution automation References ↑ https://www.smartgrid.gov/category/technology/distribution_automation_communications_network [[C LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ategory: Smart Grid Definitionssmart grid,smart grid, |Template:BASEPAGENAME]]smart grid,smart grid, Retrieved from

27

Robust Offshore Networks for Oil and Gas Facilities :.  

E-Print Network (OSTI)

??Offshore Communication Networks utilize multiple of communication technologies to eradicate any possibilities of failures, when the network is operational. Offshore Oil and Gas platforms and (more)

Maheshwari, D.

2010-01-01T23:59:59.000Z

28

The role of trace gas flux networks in biogeosciences  

SciTech Connect

Vast networks of meteorological sensors ring the globe, providing continuous measurements of an array of atmospheric state variables such as temperature, humidity, rainfall, and the concentration of carbon dioxide [New etal., 1999; Tans etal., 1996]. These measurements provide input to weather and climate models and are key to detecting trends in climate, greenhouse gases, and air pollution. Yet to understand how and why these atmospheric state variables vary in time and space, biogeoscientists need to know where, when, and at what rates important gases are flowing between the land and the atmosphere. Tracking trace gas fluxes provides information on plant or microbial metabolism and climate-ecosystem interactions. The existence of trace gas flux networks is a relatively new phenomenon, dating back to research in 1984. The first gas flux measurement networks were regional in scope and were designed to track pollutant gases such as sulfur dioxide, ozone, nitric acid, and nitrogen dioxide. Atmospheric observations and model simulations were used to infer the depositional rates of these hazardous chemicals [Fowler etal., 2009; Meyers etal., 1991]. In the late 1990s, two additional trace gas flux measurement networks emerged. One, the United States Trace Gas Network (TRAGNET), was a short-lived effort that measured trace gas emissions from the soil and plants with chambers distributed throughout the country [Ojima etal., 2000]. The other, FLUXNET, was an international endeavor that brought many regional networks together to measure the fluxes of carbon dioxide, water vapor, and sensible heat exchange with the eddy covariance technique [Baldocchi etal., 2001]. FLUXNET, which remains active today, currently includes more than 400 tower sites, dispersed across most of the world's climatic zones and biomes, with sites in North and South America, Europe, Asia, Africa, and Australia. More recently, several specialized networks have emerged, including networks dedicated to urban areas (Urban Fluxnet), nitrogen compounds in Europe (NitroEurope), and methane (MethaneNet). Technical Aspects of Flux Networks Eddy covariance flux measurements are the preferred method by which biogeoscientists measure trace gas exchange between ecosystems and the atmosphere [Baldocchi, 2003].

Baldocch, Dennis [Department of Environmental Science, Policy and Management, University of California, Berkeley,; Reichstein, Markus [Max Planck Institute for Biogeochemistry; Papale, D. [University of Tuscia; KOTEEN, LAURIE [University of California, Berkeley; VARGAS, RODRIGO [Ensenada Center for Scientific Research and Higher Education (CICESE); Agarwal, D.A [Lawrence Berkeley National Laboratory (LBNL); Cook, Robert B [ORNL

2012-01-01T23:59:59.000Z

29

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

Energy Savers (EERE)

Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key Issues Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key Issues The United States has 11...

30

Optimal Distributed Voltage Regulation in Power Distribution Networks  

E-Print Network (OSTI)

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.

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

2012-01-01T23:59:59.000Z

31

Innovation flow through social networks: Productivity distribution  

E-Print Network (OSTI)

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.

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

2004-06-19T23:59:59.000Z

32

Oil and Gas CDT Gas hydrate distribution on tectonically active continental  

E-Print Network (OSTI)

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

Henderson, Gideon

33

Slippage solution of gas pressure distribution in process of landfill gas seepage  

Science Journals Connector (OSTI)

A mathematical model of landfill gas migration was established under presumption of the ... a large impact on gas pressure distribution. Landfill gas pressure and pressure gradient considering slippage effect...

Qiang Xue; Xia-ting Feng; Bing Liang

2005-12-01T23:59:59.000Z

34

Rescheduling Bulk Gas Production and Distribution Wasu Glankwamdee  

E-Print Network (OSTI)

customer demand at minimum cost? #12;Bulk Gas Wrinkles Production Most sites operate in two modes: RegularRescheduling Bulk Gas Production and Distribution Wasu Glankwamdee Jackie Griffin Jeff Linderoth March 15, 2006 #12;Liquid Bulk Gas Production-Distribution Sites S Products P = {LOX, LNI} Customers C

Grossmann, Ignacio E.

35

Gas Distribution Modeling using Sparse Gaussian Process Mixture Models  

E-Print Network (OSTI)

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

Stachniss, Cyrill

36

Natural Gas Transmission and Distribution Module  

Gasoline and Diesel Fuel Update (EIA)

5, DOE/EIA-M062(2005) (Washington, DC, 2005). 5, DOE/EIA-M062(2005) (Washington, DC, 2005). Energy Information Administration/Assumptions to the Annual Energy Outlook 2006 101 Primary Flows Secondary Flows Pipeline Border Crossing Specific LNG Terminals Primary Flows Secondary Flows Pipeline Border Crossing Specific LNG Terminals Generic LNG Terminals Alaska Alaska MacKenzie W. Canada E. Canada Canada Offshore & LNG Pacific (9) Mountain (8) CA (12) AZ/NM (11) W. South Central (7) E. South Central (6) W. North Central (4) E. North Central (3) Mid Atlantic (2) New Engl. (1) S. Atlantic (5) FL (10) Bahamas Mexico Figure 8. Natural Gas Transmission and Distribution Model Regions Source: Energy Information Administration, Office of Integrated Analysis and Forecasting Report #:DOE/EIA-0554(2006) Release date: March 2006 Next release date: March 2007

37

Worst Case Scenario for Large Distribution Networks with Distributed Generation  

E-Print Network (OSTI)

, tides, and geothermal heat, is the best choice as alternative source of energy. The interconnection and distribution networks, finally to the electric energy consumers. The life style of a nation is measured of these renewable energy sources and other forms of small generation such as combined heat and power (CHP) units

Pota, Himanshu Roy

38

Content Distribution Strategies in Opportunistic Networks  

E-Print Network (OSTI)

This paper describes a mechanism for content distribution through opportunistic contacts between subscribers. A subset of subscribers in the network are seeded with the content. The remaining subscribers obtain the information through opportunistic contact with a user carrying the updated content. We study how the rate of content retrieval by subscribers is affected by the number of initial seeders in the network. We also study the rate of content retrieval by the subscribers under coding strategies (Network Coding, Erasure Coding) and under Flooding, Epidemic Routing.

Masood, Syed Haani; Coates, Mark

2013-01-01T23:59:59.000Z

39

Distributed services for mobile ad hoc networks  

E-Print Network (OSTI)

DISTRIBUTED SERVICES FOR MOBILE AD HOC NETWORKS A Dissertation by GUANGTONG CAO Submitted to the O?ce of Graduate Studies of Texas A&M University in partial fulflllment of the requirements for the degree of DOCTOR OF PHILOSOPHY August 2005 Major... Subject: Computer Science DISTRIBUTED SERVICES FOR MOBILE AD HOC NETWORKS A Dissertation by GUANGTONG CAO Submitted to the O?ce of Graduate Studies of Texas A&M University in partial fulflllment of the requirements for the degree of DOCTOR OF PHILOSOPHY...

Cao, Guangtong

2005-11-01T23:59:59.000Z

40

Gas Network Optimization: A comparison of Piecewise Linear Models  

E-Print Network (OSTI)

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

CARLOS M. CORREA-POSADA

2014-10-04T23:59:59.000Z

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


41

High Detail Stationary Optimization Models for Gas Networks  

E-Print Network (OSTI)

Oct 15, 2014 ... Abstract: Due to strict regulatory rules in combination with complex nonlinear physics, major gas network operators in Germany and Europe...

Martin Schmidt

2014-10-15T23:59:59.000Z

42

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

Gasoline and Diesel Fuel Update (EIA)

Compressor Stations Illustration About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates U.S. Natural Gas Pipeline...

43

Pruning Neural Networks with Distribution Estimation Algorithms  

SciTech Connect

This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algorithm (GA), the paper considers three distribution estimation algorithms (DEAs): a compact GA, an extended compact GA, and the Bayesian Optimization Algorithm. The objective is to determine if the DEAs present advantages over the simple GA in terms of accuracy or speed in this problem. The experiments used a feed forward neural network trained with standard back propagation and public-domain and artificial data sets. The pruned networks seemed to have better or equal accuracy than the original fully-connected networks. Only in a few cases, pruning resulted in less accurate networks. We found few differences in the accuracy of the networks pruned by the four EAs, but found important differences in the execution time. The results suggest that a simple GA with a small population might be the best algorithm for pruning networks on the data sets we tested.

Cantu-Paz, E

2003-01-15T23:59:59.000Z

44

Safety of Gas Transmission and Distribution Systems (Maine) | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Safety of Gas Transmission and Distribution Systems (Maine) Safety of Gas Transmission and Distribution Systems (Maine) Safety of Gas Transmission and Distribution Systems (Maine) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Program Info State Maine Program Type Safety and Operational Guidelines Provider Public Utilities Commission These regulations describe requirements for the participation of natural gas utilities in the Underground Utility Damage Prevention Program,

45

Distributed and Networked Dynamic Resource Allocation, Scheduling, and Control Experiments  

E-Print Network (OSTI)

Distributed and Networked Dynamic Resource Allocation, Scheduling, and Control Experiments Nicanor into decentralized and networked dynamic resource allocation, scheduling, and control. 2 Questions 1. What, "Experiments for decentralized and networked dynamic resource allocation, scheduling, and control," Submitted

46

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

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

June 2008 June 2008 1 Each day, close to 70 million customers in the United States depend upon the national natural gas distribution network, including natural gas distribution companies and pipelines, to deliver natural gas to their home or place of business (Figure 1). These customers currently consume approximately 20 trillion cubic feet (Tcf) of natural gas per annum, accounting for about 22 percent of the total energy consumed in the United States each year. This end- use customer base is 92 percent residential units, 7 percent commercial businesses, and 1 percent large industrial and electric power generation customers. 1 However, the large- volume users, though small in number, account for more than 60 percent of the natural gas used by end users.

47

Optimal Allocation of Distributed Generators in a Distribution Network Using Adaptive Multi-Objective Particle Swarm Optimization  

Science Journals Connector (OSTI)

This study presents the optimal allocation of distributed generators (DGs) in distribution network based on...

Shan Cheng; Min-You Chen; Peter J. Fleming

2012-01-01T23:59:59.000Z

48

Distributed Medium Access Control for Next Generation CDMA Wireless Networks  

E-Print Network (OSTI)

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

Zhuang, Weihua

49

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

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

Interstate Pipelines Table About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Thirty Largest U.S. Interstate Natural...

50

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

Gasoline and Diesel Fuel Update (EIA)

Expansion of the U.S. Natural Gas Pipeline Network: Expansion of the U.S. Natural Gas Pipeline Network: 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. Questions or comments on this article should be directed to Damien Gaul at damien.gaul@eia.doe.gov or (202) 586-2073. Robust construction of natural gas infrastructure in 2008 resulted in the completion of 84 pipeline projects in the lower 48 States, adding close to 4,000 miles of natural gas pipeline. These completions of new natural gas pipelines and expansions of existing pipelines in the United States

51

Distribution and Production of Oil and Gas Wells by State  

Gasoline and Diesel Fuel Update (EIA)

Distribution and Production of Oil and Gas Wells by State Distribution and Production of Oil and Gas Wells by State Distribution and Production of Oil and Gas Wells by State Release date: January 7, 2011 | Next Release Date: To be determined Distribution tables of oil and gas wells by production rate for all wells, including marginal wells, are now available for most states for the years 1995 to 2009. Graphs displaying historical behavior of well production rate are also available. To download data for all states and all years, including years prior to 1995, in an Excel spreadsheet XLS (4,000 KB). The quality and completeness of data is dependent on update lag times and the quality of individual state and commercial source databases. Undercounting of the number of wells occurs in states where data is sometimes not available at the well level but only at the lease level. States not listed below will be added later as data becomes available.

52

Colorado Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Colorado Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

53

New Hampshire Natural Gas Pipeline and Distribution Use Price...  

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

Price (Dollars per Thousand Cubic Feet) New Hampshire Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

54

Michigan Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Michigan Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

55

Utah Natural Gas Pipeline and Distribution Use (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) Utah Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,935...

56

Ohio Natural Gas Pipeline and Distribution Use (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) Ohio Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 19,453...

57

Maine Natural Gas Pipeline and Distribution Use (Million Cubic...  

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

(Million Cubic Feet) Maine Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 0 0...

58

Vermont Natural Gas Pipeline and Distribution Use Price (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Price (Dollars per Thousand Cubic Feet) Vermont Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

59

North Carolina Natural Gas Pipeline and Distribution Use Price...  

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

Price (Dollars per Thousand Cubic Feet) North Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

60

Missouri Natural Gas Pipeline and Distribution Use (Million Cubic...  

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

(Million Cubic Feet) Missouri Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

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


61

Maine Natural Gas Pipeline and Distribution Use Price (Dollars...  

Annual Energy Outlook 2012 (EIA)

Price (Dollars per Thousand Cubic Feet) Maine Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

62

Mississippi Natural Gas Pipeline and Distribution Use (Million...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Mississippi Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

63

New Jersey Natural Gas Pipeline and Distribution Use (Million...  

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

(Million Cubic Feet) New Jersey Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

64

Virginia Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Virginia Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

65

California Natural Gas Pipeline and Distribution Use (Million...  

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

(Million Cubic Feet) California Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

66

Arkansas Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Arkansas Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

67

Arizona Natural Gas Pipeline and Distribution Use (Million Cubic...  

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

(Million Cubic Feet) Arizona Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

68

Louisiana Natural Gas Pipeline and Distribution Use (Million...  

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

(Million Cubic Feet) Louisiana Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

69

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

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) District of Columbia Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

70

Texas Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Texas Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

71

Maryland Natural Gas Pipeline and Distribution Use (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) Maryland Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

72

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

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

Price (Dollars per Thousand Cubic Feet) District of Columbia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

73

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

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

(Million Cubic Feet) Massachusetts Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

74

Washington Natural Gas Pipeline and Distribution Use (Million...  

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

(Million Cubic Feet) Washington Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

75

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

Gasoline and Diesel Fuel Update (EIA)

Price (Dollars per Thousand Cubic Feet) Alabama Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

76

Delaware Natural Gas Pipeline and Distribution Use (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) Delaware Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 13...

77

South Dakota Natural Gas Pipeline and Distribution Use (Million...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) South Dakota Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

78

Illinois Natural Gas Pipeline and Distribution Use (Million Cubic...  

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

(Million Cubic Feet) Illinois Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

79

Oregon Natural Gas Pipeline and Distribution Use (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) Oregon Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

80

South Carolina Natural Gas Pipeline and Distribution Use (Million...  

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

(Million Cubic Feet) South Carolina Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

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


81

Tennessee Natural Gas Pipeline and Distribution Use (Million...  

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) Tennessee Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

82

Idaho Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Idaho Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 5,186...

83

Nebraska Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Nebraska Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

84

North Dakota Natural Gas Pipeline and Distribution Use (Million...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) North Dakota Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

85

Kansas Natural Gas Pipeline and Distribution Use (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) Kansas Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

86

Vermont Natural Gas Pipeline and Distribution Use (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) Vermont Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 9 8...

87

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

Annual Energy Outlook 2012 (EIA)

Price (Dollars per Thousand Cubic Feet) Delaware Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

88

Nevada Natural Gas Pipeline and Distribution Use Price (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Price (Dollars per Thousand Cubic Feet) Nevada Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

89

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

Gasoline and Diesel Fuel Update (EIA)

Price (Dollars per Thousand Cubic Feet) Kansas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

90

Wyoming Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Wyoming Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

91

Indiana Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Indiana Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

92

North Carolina Natural Gas Pipeline and Distribution Use (Million...  

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

(Million Cubic Feet) North Carolina Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

93

Connecticut Natural Gas Pipeline and Distribution Use (Million...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Connecticut Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

94

Montana Natural Gas Pipeline and Distribution Use (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) Montana Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

95

New Hampshire Natural Gas Pipeline and Distribution Use (Million...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) New Hampshire Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

96

Alabama Natural Gas Pipeline and Distribution Use (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) Alabama Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

97

Minnesota Natural Gas Pipeline and Distribution Use (Million...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Minnesota Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

98

Oklahoma Natural Gas Pipeline and Distribution Use (Million Cubic...  

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

(Million Cubic Feet) Oklahoma Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

99

Pennsylvania Natural Gas Pipeline and Distribution Use (Million...  

Gasoline and Diesel Fuel Update (EIA)

(Million Cubic Feet) Pennsylvania Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

100

South Carolina Natural Gas Pipeline and Distribution Use Price...  

Annual Energy Outlook 2012 (EIA)

Price (Dollars per Thousand Cubic Feet) South Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

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


101

West Virginia Natural Gas Pipeline and Distribution Use (Million...  

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

(Million Cubic Feet) West Virginia Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

102

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

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

Price (Dollars per Thousand Cubic Feet) California Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

103

Florida Natural Gas Pipeline and Distribution Use (Million Cubic...  

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

(Million Cubic Feet) Florida Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

104

Rhode Island Natural Gas Pipeline and Distribution Use (Million...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Rhode Island Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

105

Iowa Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Iowa Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 11,309...

106

Oklahoma Natural Gas Pipeline and Distribution Use Price (Dollars...  

Annual Energy Outlook 2012 (EIA)

Price (Dollars per Thousand Cubic Feet) Oklahoma Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

107

Georgia Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) Georgia Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

108

Alaska Natural Gas Pipeline and Distribution Use (Million Cubic...  

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

(Million Cubic Feet) Alaska Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

109

Nevada Natural Gas Pipeline and Distribution Use (Million Cubic...  

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

(Million Cubic Feet) Nevada Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 656...

110

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

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

Price (Dollars per Thousand Cubic Feet) Florida Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

111

New York Natural Gas Pipeline and Distribution Use (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

(Million Cubic Feet) New York Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

112

Massachusetts Natural Gas Pipeline and Distribution Use Price...  

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

Price (Dollars per Thousand Cubic Feet) Massachusetts Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

113

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

NLE Websites -- All DOE Office Websites (Extended Search)

LNG Peak Shaving and Import Facilities Map About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates U.S. LNG Peaking...

114

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

SciTech Connect

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.

NONE

1998-01-01T23:59:59.000Z

115

Multiscale, Multiphysics Network Modeling of Shale Matrix Gas Flows  

Science Journals Connector (OSTI)

We present a pore network model to determine the permeability of shale gas matrix. Contrary to the conventional reservoirs, ... morphology of the pores, the permeability in shale depends on pressure as well. In a...

Ayaz Mehmani; Maa Prodanovi?; Farzam Javadpour

2013-09-01T23:59:59.000Z

116

Gas Network Optimization by MINLP | Argonne Leadership Computing...  

NLE Websites -- All DOE Office Websites (Extended Search)

Gas Network Optimization by MINLP Event Sponsor: Mathematics and Computing Science Seminar Start Date: Nov 17 2014 - 10:30am BuildingRoom: Building 240Room 1406-1407 Location:...

117

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

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

Interstate Pipelines Table Interstate Pipelines Table About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Thirty Largest U.S. Interstate Natural Gas Pipeline Systems, 2008 (Ranked by system capacity) Pipeline Name Market Regions Served Primary Supply Regions States in Which Pipeline Operates Transported in 2007 (million dekatherm)1 System Capacity (MMcf/d) 2 System Mileage Columbia Gas Transmission Co. Northeast Southwest, Appalachia DE, PA, MD, KY, NC, NJ, NY, OH, VA, WV 1,849 9,350 10,365 Transcontinental Gas Pipeline Co. Northeast, Southeast Southwest AL, GA, LA, MD, MS, NC, NY, SC, TX, VA, GM 2,670 8,466 10,450 Northern Natural Gas Co. Central, Midwest Southwest IA, IL, KS, NE, NM, OK, SD, TX, WI, GM 1,055 7,442 15,874 Texas Eastern Transmission Corp.

118

Voltage Control of Distribution Networks with Distributed Generation using Reactive Power  

E-Print Network (OSTI)

Voltage Control of Distribution Networks with Distributed Generation using Reactive Power. Nasiruzzaman Abstract--Voltage profile of distribution networks with dis- tributed generation are affected significantly due to the integra- tion of distributed generation (DG) on it. This paper presents a way

Pota, Himanshu Roy

119

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

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

Pipelinesk > Development & Expansion Pipelinesk > Development & Expansion About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Pipeline Development and Expansion Timing | Determining Market Interest | Expansion Options | Obtaining Approval | Prefiling Process | Approval | Construction | Commissioning Timing and Steps for a New Project An interstate natural gas pipeline construction or expansion project takes an average of about three years from the time it is first announced until the new pipe is placed in service. The project can take longer if it encounters major environmental obstacles or public opposition. A pipeline development or expansion project involves several steps: Determining demand/market interest

120

On Codebook Design for Distributed Relay Beamforming Network  

E-Print Network (OSTI)

On Codebook Design for Distributed Relay Beamforming Network Min Zheng and Min Dong Department-antenna beamforming in point-to-point systems [1]­[3], the quantization design for distributed relay beamforming has design for quantized distributed relay beamforming. Each relay in the network has its individual power

Dong, Min

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


121

EIA - Natural Gas Pipeline Network - States Dependent on Interstate  

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

States Dependent on Interstate Pipelines States Dependent on Interstate Pipelines About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates States in grey which are at least 85% dependent on the interstate pipeline network for their natural gas supply are: New England - Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont Southeast - Florida, Georgia, North Carolina, South Carolina, Tennessee Northeast - Delaware, Maryland, New Jersey, New York, District of Columbia Midwest - Illinois, Indiana, Minnesota, Ohio, Wisconsin Central - Iowa, Missouri, Nebraska, South Dakota West - Arizona, California, Idaho, Nevada, Oregon, Washington Interstate Natural Gas Supply Dependency, 2007 Map: Interstate Natural Gas Supply Dependency

122

A distributed micro sonar network for marine mammal monitoring.  

Science Journals Connector (OSTI)

The design of a distributed micro sonar network (DMSN) is presented. The DMSN is a miniaturized low?power and high?frequency version of the swimmer detection sonar network used to detect and track marine mammals at ranges out to 500 m. The intent is to use it for monitoring during potentially harmful military and commercial activities such as high?powered Navy sonar oil and gas exploration explosive removal of offshore structures seismic exploration for research and oil and gas pile driving to install maritime structures including offshore wind farms and marine hydrokinetic energy devices such as free turbines. The system will consist of multiple single?beam sonars each transmitting and receiving a unique signal in a narrow beam. The hardware and software will initially be ported to a Xilinx FPGA with future versions done within a custom made ASIC. Initial hardware and software research and development will be described as well as the work done to create computationally efficient signal processing algorithms. This work will potentially lead to the first ever prototype of a sonar?on?a?chip implementation. [Work supported by the NAVAIR SBIR Program and ONR.]?

Nicholas A. Rotker; Peter J. Stein; Patrick Edson; John Wood

2010-01-01T23:59:59.000Z

123

EIA - Natural Gas Pipeline Network - Regulatory Authorities  

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

Regulatory Authorities Regulatory Authorities About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates U.S. Natural Gas Regulatory Authorities Beginning | Regulations Today | Coordinating Agencies | Regulation of Mergers and Acquisitions Beginning of Industry Restructuring In April 1992, the Federal Energy Regulatory Commission (FERC) issued its Order 636 and transformed the interstate natural gas transportation segment of the industry forever. Under it, interstate natural gas pipeline companies were required to restructure their operations by November 1993 and split-off any non-regulated merchant (sales) functions from their regulated transportation functions. This new requirement meant that interstate natural gas pipeline companies were allowed to only transport natural gas for their customers. The restructuring process and subsequent operations have been supervised closely by FERC and have led to extensive changes throughout the interstate natural gas transportation segment which have impacted other segments of the industry as well.

124

Optimisation of distribution network design using a hybrid genetic algorithm.  

E-Print Network (OSTI)

??This thesis presents an integrated methodology developed for the modelling and optimisation of distribution networks based on a Hybrid Genetic Algorithm. This work focuses on (more)

Akararungruangkul, Raknoi

2006-01-01T23:59:59.000Z

125

Sensor Networks for Monitoring and Control of Water Distribution Systems  

E-Print Network (OSTI)

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 ...

Whittle, Andrew

126

Planning of distribution networks for medium voltage and low voltage.  

E-Print Network (OSTI)

??Determination of the placement and rating of transformers and feeders are the main objective of the basic distribution network planning. The bus voltage and the (more)

Ziari, Iman

2011-01-01T23:59:59.000Z

127

FUEL CELLS SOLID OXIDE FUEL CELLS | Gas Distribution  

Science Journals Connector (OSTI)

A uniform distribution of the reactants over the total available electrode surfaces in solid oxide fuel cells (SOFCs) is a prerequisite for the proper operation of the fuel cell. The gas distribution plays a dominant role not only in the current density distribution but also in the temperature distribution over the cell areas and in the stack and modules. Several transport mechanisms for mass transport occurring in the SOFC are introduced and discussed. General flow configurations and structures for the gas distribution at three different levels, i.e., stack/module, cell/tube, and electrode/electrolyte, are discussed for both tubular and planar type cells and illustrated with examples of concentration and temperature profiles.

L.G.J. de Haart; M. Spiller

2009-01-01T23:59:59.000Z

128

Observed oil and gas field size distributions: A consequence of the discovery process and prices of oil and gas  

Science Journals Connector (OSTI)

If observed oil and gas field size distributions are obtained ... should approximate that of the parent population of oil and gas fields. However, empirical evidence ... the observable size distributions change w...

Lawrence J. Drew; Emil D. Attanasi; John H. Schuenemeyer

1988-11-01T23:59:59.000Z

129

Phorgotten phenomena: Verifying electrical CP contacts on gas distribution pipelines  

SciTech Connect

Federal and state regulations mandate that gas companies must maintain cathodic protection (CP) throughout distribution systems to protect against corrosion. From time to time, underground contacts occur. Any contact of metal lines depletes CP potentials. Finding and clearing these contacts is time-consuming and costly. Some gas companies report that only one in 10 of these underground contacts are found. The paper describes a method that has maintained a 98% efficiency in clearing underground contacts for the past 10 years for Cascade Natural Gas.

Maxwell, J.L. [Cascade Natural Gas Corp., Seattle, WA (United States)

1999-04-01T23:59:59.000Z

130

Electrical Resistivity Investigation of Gas Hydrate Distribution in  

NLE Websites -- All DOE Office Websites (Extended Search)

10 10 Electrical Resistivity Investigation of Gas Hydrate Distribution in the Mississippi Canyon Block 118, Gulf of Mexico Submitted by: Baylor University One Bear Place, Box 97354 Waco, TX 76798 Principal Author: John A. Dunbar Prepared for: United States Department of Energy National Energy Technology Laboratory January 15, 2011 Office of Fossil Energy 1 Electrical Resistivity Investigation of Gas Hydrate Distribution in Mississippi Canyon Block 118, Gulf of Mexico Pr oject Quar ter 17 Repor t Report Type: Quarterly Starting October 1, 2010 Ending December 31, 2010 Author: John A. Dunbar Baylor University Department of Geology January 15, 2011 DOE Award Number: DE-FC26-06NT142959

131

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

SciTech Connect

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.

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

2009-09-01T23:59:59.000Z

132

Chapter 7 - General Regularities in Oil and Gas Distribution  

Science Journals Connector (OSTI)

Publisher Summary The chapter provides a detailed geological description of the South Caspian Sea area, focusing on the major characteristics and patterns found in the distribution of oil and gas producing areas of the region. The chapter has divided the South Caspian Sea into three major areas: the Azerbaijan portion, the Turkmenistan portion, and the areas adjacent to the South Caspian basin. The chapter analyzes these areas, focusing on various topics related to the geological aspect of oil and gas production such as issues relating to depositional environments, oil and gas traps, lithology and properties of reservoir rocks, composition and properties of argillaceous rocks, effects of pressure and temperature, effects of abnormally high formation pressures, distribution of oil reserves, oil composition and its properties, properties of natural gas, the formation waters related properties, oil and gas migration and accumulation, and the potential of very deep oil and gas bearing deposits. The chapter also highlights the areas worthy of future exploration to find oil and gas reserves.

Leonid A. Buryakovsky; George V. Chilingar; Fred Aminzadeh

2001-01-01T23:59:59.000Z

133

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

E-Print Network (OSTI)

be electricity, gas, oil, or water. Because the problem constraints vary depending on the resource in hand. For instance, whereas huge capacities of gas, oil, and water can be temporarily stored, there exists pump, tank, and water tower of such a distribution network, interact by means of a decentralized

Bauer, Bernhard

134

Communication Architectures for Distribution Networks within the Smart Grid Initiative  

Science Journals Connector (OSTI)

A critical piece of the Smart Grid (SG) infrastructure is the supporting Communication Networks that facilitate data gathering, monitoring and control of the electric grid. Over the years, electric utilities built robust communication networks for their ... Keywords: Smart Grid, Distribution Network, Communication Architectures

Monther A. Hammoudeh; Fernando Mancilla-David; Jeff D. Selman; P. Papantoni-Kazakos

2013-04-01T23:59:59.000Z

135

Estimating Predictive Variance for Statistical Gas Distribution Modelling  

SciTech Connect

Recent publications in statistical gas distribution modelling have proposed algorithms that model mean and variance of a distribution. This paper argues that estimating the predictive concentration variance entails not only a gradual improvement but is rather a significant step to advance the field. This is, first, since the models much better fit the particular structure of gas distributions, which exhibit strong fluctuations with considerable spatial variations as a result of the intermittent character of gas dispersal. Second, because estimating the predictive variance allows to evaluate the model quality in terms of the data likelihood. This offers a solution to the problem of ground truth evaluation, which has always been a critical issue for gas distribution modelling. It also enables solid comparisons of different modelling approaches, and provides the means to learn meta parameters of the model, to determine when the model should be updated or re-initialised, or to suggest new measurement locations based on the current model. We also point out directions of related ongoing or potential future research work.

Lilienthal, Achim J.; Asadi, Sahar; Reggente, Matteo [AASS Research Center, Oerebro University (Sweden)

2009-05-23T23:59:59.000Z

136

Analytically solvable geometric network growth model with arbitrary degree distribution  

E-Print Network (OSTI)

We construct a class of network growth models capable of producing arbitrary degree distributions. The conditions necessary for generating the desired degree distribution can be derived analytically. In this model, a network is generated as a result of local interactions among agents residing on a metric space. Specifically, we study the case of random-walking agents who form bonds when they meet at designated locations we refer to as "rendezvous points." The spatial distribution of the rendezvous points determines key characteristics of the network such as the degree distribution. For any arbitrary (monotonic) degree distribution, we are able to analytically solve for the required rendezvous point distribution. Certain features of the model including high clustering coefficients suggest that it may be a suitable candidate for modeling biological and urban networks.

Dianati, Navid

2015-01-01T23:59:59.000Z

137

Gas-Fired Distributed Energy Resource Technology Characterizations  

SciTech Connect

The U. S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) is directing substantial programs in the development and encouragement of new energy technologies. Among them are renewable energy and distributed energy resource technologies. As part of its ongoing effort to document the status and potential of these technologies, DOE EERE directed the National Renewable Energy Laboratory to lead an effort to develop and publish Distributed Energy Technology Characterizations (TCs) that would provide both the department and energy community with a consistent and objective set of cost and performance data in prospective electric-power generation applications in the United States. Toward that goal, DOE/EERE - joined by the Electric Power Research Institute (EPRI) - published the Renewable Energy Technology Characterizations in December 1997.As a follow-up, DOE EERE - joined by the Gas Research Institute - is now publishing this document, Gas-Fired Distributed Energy Resource Technology Characterizations.

Goldstein, L.; Hedman, B.; Knowles, D.; Freedman, S. I.; Woods, R.; Schweizer, T.

2003-11-01T23:59:59.000Z

138

Simultaneous production and distribution of industrial gas supply-chains  

Science Journals Connector (OSTI)

Abstract In this paper, we propose a multi-period mixed-integer linear programming model for optimal enterprise-level planning of industrial gas operations. The objective is to minimize the total cost of production and distribution of liquid products by coordinating production decisions at multiple plants and distribution decisions at multiple depots. Production decisions include production modes and rates that determine power consumption. Distribution decisions involve source, destination, quantity, route, and time of each truck delivery. The selection of routes is a critical factor of the distribution cost. The main goal of this contribution is to assess the benefits of optimal coordination of production and distribution. The proposed methodology has been tested on small, medium, and large size examples. The results show that significant benefits can be obtained with higher coordination among plants/depots in order to fulfill a common set of shared customer demands. The application to real industrial size test cases is also discussed.

Pablo A. Marchetti; Vijay Gupta; Ignacio E. Grossmann; Lauren Cook; Pierre-Marie Valton; Tejinder Singh; Tong Li; Jean Andr

2014-01-01T23:59:59.000Z

139

Long term distribution network planning considering urbanity uncertainties  

Science Journals Connector (OSTI)

This paper addresses the problem of long term distribution network planning under urbanity uncertainties. Unpredictable urbanity plans are expected facts in developing/under developed countries. This type of uncertainties make it difficult to implement designed network in the future and leads to increasing operational costs including loss and outage costs. In this paper we presented a novel approach for distribution network planning which in addition of eliminating harmful effects of urbanity uncertainties, leads to easy management and operation of resulted network. In this approach several points of study region with high accessibility are selected as candidate embranchment points and optimal connection configuration of load points to the embranchment points is determined by genetic algorithm considering investment, loss and also customer interruption costs. Afterward, final structure of network is designed by branch exchange method considering the embranchment points as representative to load points in their service area. The performance of the proposed approach is assessed on a test distribution network.

Javad Salehi; Mahmoud-Reza Haghifam

2012-01-01T23:59:59.000Z

140

Colorado Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Colorado Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.17 0.17 0.17 1970's 0.18 0.19 0.21 0.22 0.27 0.49 0.72 1.00 1.31 1.53 1980's 2.17 2.58 2.78 2.78 2.81 2.62 2.71 2.57 2.24 1.75 1990's 1.75 1.79 1.89 1.86 1.78 1.45 1.97 2.44 1.98 1.66 2000's 3.89 3.86 NA -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Colorado Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

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141

Kentucky Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Kentucky Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.33 0.27 0.23 1970's 0.20 0.22 0.24 0.25 0.29 0.37 0.48 0.60 0.57 1.26 1980's 1.67 2.18 2.85 3.05 2.93 2.89 2.44 1.97 1.77 2.00 1990's 2.12 2.35 2.51 2.67 1.95 1.83 2.63 2.51 2.45 2.11 2000's 3.27 3.96 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Kentucky Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

142

Louisiana Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Louisiana Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.19 0.05 1970's 0.20 0.21 0.23 0.24 0.28 0.39 0.50 0.81 0.96 1.30 1980's 1.81 2.36 2.91 3.13 3.00 2.90 2.48 1.97 1.96 2.07 1990's 1.98 2.25 2.25 2.40 1.44 1.61 2.58 2.59 2.22 1.98 2000's 3.10 3.76 NA -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Louisiana Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

143

Montana Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Montana Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.12 0.11 0.11 1970's 0.11 0.12 0.17 0.21 0.23 0.42 0.46 0.73 0.83 1.16 1980's 1.29 1.90 2.87 3.00 3.04 2.51 2.28 1.86 1.65 1.57 1990's 1.75 1.76 1.63 2.15 1.53 1.16 1.44 1.77 1.72 2.12 2000's 2.96 2.48 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Montana Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

144

Arizona Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Arizona Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.15 0.15 0.15 1970's 0.17 0.17 0.19 0.22 0.28 0.36 0.44 0.64 0.75 1.29 1980's 1.62 2.22 2.86 3.16 2.83 2.79 2.22 1.49 1.79 1.50 1990's 1.65 1.26 1.25 1.68 1.28 1.19 1.80 2.20 1.90 2.08 2000's 3.61 3.96 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Arizona Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

145

Arkansas Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Arkansas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.18 0.18 0.18 1970's 0.19 0.22 0.24 0.26 0.30 0.43 0.52 0.71 0.86 1.12 1980's 1.78 2.12 2.63 2.94 2.97 2.78 2.46 2.64 2.07 2.30 1990's 2.17 2.06 1.78 1.64 1.61 1.45 2.41 2.42 1.58 1.38 2000's 2.41 4.09 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Arkansas Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

146

Maryland Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Maryland Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.19 0.19 1970's 0.19 0.22 0.24 0.25 0.27 0.38 0.50 0.69 0.84 1.25 1980's 2.41 2.74 3.08 3.28 3.29 3.17 3.19 2.37 2.27 2.72 1990's 2.15 1.94 1.94 2.08 2.01 1.81 2.48 2.98 2.41 2.30 2000's 3.30 4.75 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Maryland Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

147

Michigan Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Michigan Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.27 0.27 0.27 1970's 0.27 0.28 0.29 0.35 0.46 0.56 0.71 0.98 1.67 1.60 1980's 2.98 3.73 3.63 3.86 3.95 3.54 2.95 2.64 2.39 2.03 1990's 1.86 0.50 0.57 0.26 0.20 0.54 1.04 0.95 0.69 0.78 2000's 1.32 1.76 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Michigan Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

148

Oregon Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Oregon Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.22 0.21 0.22 1970's 0.22 0.32 0.28 0.35 0.47 0.61 0.82 1.77 1.98 2.53 1980's 4.41 4.75 4.90 4.19 3.90 3.13 2.35 2.00 1.90 2.09 1990's 2.16 2.32 2.16 1.71 1.86 1.77 1.77 1.80 1.84 1.98 2000's 2.74 2.91 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Oregon Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

149

Missouri Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Missouri Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.20 1970's 0.21 0.23 0.25 0.26 0.29 0.39 0.48 0.80 0.87 1.20 1980's 1.71 2.12 2.81 3.04 2.92 2.86 2.61 2.41 2.78 1.94 1990's 1.77 2.05 2.31 2.01 0.91 1.19 2.34 2.43 2.02 2.14 2000's 2.48 4.86 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Missouri Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

150

Wyoming Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Wyoming Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.14 0.16 0.16 1970's 0.17 0.17 0.18 0.24 0.24 0.51 0.65 0.69 1.36 1.59 1980's 2.05 2.51 2.91 3.05 2.99 2.76 2.56 2.36 2.06 1.88 1990's 1.95 1.85 2.48 1.92 1.52 1.31 1.54 1.84 1.86 1.87 2000's 3.21 3.04 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Wyoming Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

151

Alaska Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Alaska Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0.26 0.27 0.28 0.28 0.30 0.35 0.57 0.58 0.50 0.14 1980's 0.73 1.13 0.60 0.86 0.61 0.63 0.61 0.65 1.01 1.13 1990's 1.08 1.32 1.12 1.11 1.11 1.24 1.17 1.34 1.23 0.82 2000's 1.34 1.84 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Alaska Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

152

Georgia Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Georgia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.19 0.19 1970's 0.20 0.22 0.23 0.25 0.28 0.32 0.36 0.67 0.90 1.35 1980's 2.10 2.78 3.11 3.22 3.26 3.23 3.32 2.50 2.41 2.69 1990's 2.19 2.08 2.08 2.24 2.14 1.93 2.62 3.09 2.48 2.18 2000's 3.30 4.57 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Georgia Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

153

Nebraska Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Nebraska Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.14 0.15 0.15 1970's 0.16 0.16 0.18 0.19 0.24 0.32 0.42 0.57 0.73 1.10 1980's 1.36 1.81 2.35 2.56 2.55 2.51 2.40 2.20 1.77 1.86 1990's 1.70 1.43 1.54 1.79 1.34 1.33 2.10 2.54 2.01 1.96 2000's 2.81 3.56 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Nebraska Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

154

Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.20 1970's 0.20 0.22 0.27 0.28 0.31 0.38 0.53 0.81 1.49 1.40 1980's 2.09 2.81 3.33 3.59 3.49 3.35 3.37 2.68 2.59 2.63 1990's 2.05 1.86 1.93 2.27 2.14 1.83 2.60 3.22 2.59 2.20 2000's 2.66 5.05 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Virginia Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

155

Indiana Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Indiana Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.21 0.21 1970's 0.21 0.23 0.25 0.27 0.28 0.38 0.45 0.81 0.86 1.21 1980's 1.73 2.18 2.91 3.21 3.02 3.11 2.78 2.52 2.69 2.17 1990's 2.17 2.46 2.51 1.38 1.03 1.05 2.47 2.58 2.27 2.16 2000's 3.69 4.18 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Indiana Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

156

Designing pricing strategies for coordination of networked distributed energy resources  

E-Print Network (OSTI)

simulations. Keywords: Power systems, distributed energy resources, energy market, distributed control, gameDesigning pricing strategies for coordination of networked distributed energy resources Bahman, Urbana-Champaign, USA, basar1@illinois.edu, aledan@illinois.edu. Abstract: We study the problem

Liberzon, Daniel

157

System level design of power distribution network for mobile computing platforms.  

E-Print Network (OSTI)

??Providing a reliable power distribution network (PDN) is a critical design challenge for mobile system on chip platforms. A well-designed power distribution network should be (more)

Shayan Arani, Amirali

2011-01-01T23:59:59.000Z

158

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

E-Print Network (OSTI)

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

Savazzi, Stefano

159

Electrical Resistivity Investigation of Gas Hydrate Distribution in  

NLE Websites -- All DOE Office Websites (Extended Search)

July 1 - September 30, 2011 July 1 - September 30, 2011 Electrical Resistivity Investigation of Gas Hydrate Distribution in the Mississippi Canyon Block 118, Gulf of Mexico Submitted by: Baylor University One Bear Place, Box 97354 Waco, TX 76798 Principal Author: John A. Dunbar Prepared for: United States Department of Energy National Energy Technology Laboratory October 14, 2011 Office of Fossil Energy 1 Electrical Resistivity Investigation of Gas Hydrate Distribution in Mississippi Canyon Block 118, Gulf of Mexico Pr oject Quar ter 20 Repor t Report Type: Quarterly Starting July 1, 2011 Ending September 30, 2011 Author: John A. Dunbar Baylor University Department of Geology October 14, 2011 DOE Award Number: DE-FC26-06NT142959

160

Electrical Resistivity Investigation of Gas Hydrate Distribution in  

NLE Websites -- All DOE Office Websites (Extended Search)

January 1 - March 31, 2012 January 1 - March 31, 2012 Electrical Resistivity Investigation of Gas Hydrate Distribution in the Mississippi Canyon Block 118, Gulf of Mexico Submitted by: Baylor University One Bear Place, Box 97354 Waco, TX 76798 Principal Author: John A. Dunbar Prepared for: United States Department of Energy National Energy Technology Laboratory April 18, 2012 Office of Fossil Energy 1 Electrical Resistivity Investigation of Gas Hydrate Distribution in Mississippi Canyon Block 118, Gulf of Mexico Pr oject Quar ter 22 Repor t Report Type: Quarterly Starting January 1, 2012 Ending March 31, 2012 Author: John A. Dunbar Baylor University Department of Geology April 18, 2012 DOE Award Number: DE-FC26-06NT142959

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


161

EIA - Natural Gas Pipeline Network - Regional Definitions  

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

Definitions Map Definitions Map About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Regional Definitions The regions defined in the above map are based upon the 10 Federal Regions of the U.S. Bureau of Labor Statistics. The State groupings are as follows: Northeast Region - Federal Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. Federal Region 2: New Jersey, and New York. Federal Region 3:Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, and West Virginia. Southeast Region - Federal Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee. Midwest Region - Federal Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, and

162

A comprehensive analysis of natural gas distribution pipeline incidents  

Science Journals Connector (OSTI)

The objective of this paper is to provide a reference database for pipeline companies and/or regulators with an investigation of safety performance of US natural gas distribution pipelines. With a total of 3,679 natural gas distribution pipeline incidents between 1985 and 2010, nine safety indicators are statistically analysed in terms of the year, pipeline length, regions, pipeline diameter, pipeline wall thickness, material, age, incident area and incident cause to identify the relationship between safety indicators and various variables. Overall average frequencies of incidents, injuries and fatalities between 1985 and 2009 are 0.0846/1,000 mile-years, 0.0407/1,000 mile-years, and 0.0094/1,000 mile-years respectively. The analysis shows that the safety performance of US natural gas distribution pipeline is improving over time, and different variables have different impact on safety performances. However, the number of annual incidents does not show a significant decline due to increasing energy demand. [Received: March 21 2012; Accepted: July 15 2012

Zhenhua Rui; Xiaoqing Wang

2013-01-01T23:59:59.000Z

163

Mechanical Network in Titin Immunoglobulin from Force Distribution Analysis  

E-Print Network (OSTI)

Mechanical Network in Titin Immunoglobulin from Force Distribution Analysis Wolfram Stacklies1. , M, Stuttgart, Germany Abstract The role of mechanical force in cellular processes is increasingly revealed force propagates within proteins determines their mechanical behavior yet remains largely unknown. We

Gräter, Frauke

164

Evaluation and redesign of a company's distribution network  

E-Print Network (OSTI)

with a multidisciplinary team of people within and outside of the organization. The distribution network was modeled in various forms and different solutions were obtained as new information was gathered from questionnaires, from observation and from...

Burgos Fuentes, Sergio Armando

2004-11-15T23:59:59.000Z

165

Local network distribution practices -- a walk from MDF to customer  

Science Journals Connector (OSTI)

This paper explores the various components that make up the local network from the MDF in the local exchange to the customer. The dominant distribution media in the local network is copper and this will continue to hold its position as a simple and reliable ...

D. I. Monro; D. S. Butler; S. Worger

2007-07-01T23:59:59.000Z

166

Architecture of the Secoqc Quantum Key Distribution network  

E-Print Network (OSTI)

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.

Mehrdad Dianati; Romain Alleaume

2006-10-25T23:59:59.000Z

167

On optimal multistage electric power distribution networks expansion planning  

Science Journals Connector (OSTI)

Abstract The optimal expansion planning of electric power distribution network to meet system load growth and overcome to pseudo dynamic behavior of network parameters considering a large number of constraints is a hard satisfactory multiobjective optimization problem. This paper implements new developed Imperialist Competitive Algorithm (ICA) for the optimal expansion planning of distribution network. The topology of medium voltage (MV) distribution network as backbone of electric power distribution systems is designed by optimal sizing, siting and timing of medium voltage network components such as HV substation and MV feeders routes. A multistage expansion planning is proposed to consider dynamic behavior of the system parameters asset management and geographical constraints. In order to reach the global solution an efficient coding is developed for ICA parameters. The Greedy algorithm is used to solve the minimum spanning tree problem to construct a radial configuration of the mesh network. At each stage of the problem the results are fully illustrated either by figures or by tables. A sensitivity analysis is used to show the robustness of the results with respect to ICA parameters variation. The obtained results are compared with GA as well known heuristic optimization tool. The efficiency and capability of the methodology has been tested on an under developed relatively large-scale distribution network.

S. Najafi Ravadanegh; R. Gholizadeh Roshanagh

2014-01-01T23:59:59.000Z

168

Illinois Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Illinois Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.21 0.20 0.20 1970's 0.21 0.22 0.23 0.27 0.29 0.54 0.58 0.83 0.98 1.11 1980's 1.78 2.12 2.56 3.07 2.88 2.97 2.73 2.68 2.53 2.17 1990's 2.06 2.29 2.44 1.97 1.88 1.66 2.63 2.68 2.27 2.48 2000's 3.12 3.94 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use

169

Evalutation of Natural Gas Pipeline Materials and Infrastructure for Hydrogen/Mixed Gas Service  

Energy.gov (U.S. Department of Energy (DOE))

Objectives: To assist DOE-EE in evaluating the feasibility of using the existing natural gas transmission and distribution piping network for hydrogen/mixed gas delivery

170

Semantic Routed Network for Distributed Search Engines  

E-Print Network (OSTI)

to compare composite meanings for superior search quality. In distributed search engines, for scalability, speed and efficiency, index entries should be systematically distributed across multiple index-server nodes based on the meaning of the objects...

Biswas, Amitava

2011-08-08T23:59:59.000Z

171

Washington Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Washington Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.22 0.21 0.22 1970's 0.22 0.24 0.28 0.33 0.44 0.65 0.78 1.67 1.92 2.38 1980's 3.92 4.34 4.72 3.98 3.72 3.12 2.52 2.11 1.99 2.06 1990's 2.04 1.98 1.89 1.37 1.84 1.78 1.77 1.89 1.76 2.03 2000's 3.07 2.82 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Washington Natural Gas Prices

172

Mississippi Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Mississippi Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.20 0.19 1970's 0.20 0.21 0.23 0.24 0.28 0.36 0.46 0.73 0.88 1.28 1980's 1.75 2.34 2.91 3.06 2.94 2.92 2.44 1.99 1.87 2.09 1990's 2.11 2.33 2.34 2.37 1.98 1.82 2.63 2.62 2.33 2.19 2000's 3.37 4.28 NA -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Mississippi Natural Gas Prices

173

Minnesota Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Minnesota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.26 0.22 0.22 1970's 0.25 0.25 0.26 0.28 0.33 0.55 0.60 1.24 1.28 2.20 1980's 1.26 4.27 4.43 4.14 3.99 3.45 2.68 2.19 1.81 1.77 1990's 1.89 0.56 0.61 0.47 0.47 0.37 0.68 0.63 0.54 0.82 2000's 1.50 1.40 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Minnesota Natural Gas Prices

174

Connecticut Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Connecticut Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.35 0.68 0.30 1970's 0.32 0.32 0.35 0.40 0.50 0.58 0.59 1.50 2.60 2.53 1980's 2.76 2.94 3.53 3.30 3.18 3.71 2.53 2.52 2.13 2.97 1990's 3.68 3.08 2.95 3.53 2.62 2.20 3.50 1.54 3.00 0.59 2000's 4.82 4.93 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Connecticut Natural Gas Prices

175

Pennsylvania Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Pennsylvania Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.25 0.24 0.24 1970's 0.25 0.29 0.31 0.32 0.40 0.54 0.60 0.92 0.94 1.42 1980's 1.89 2.34 3.02 3.20 3.09 3.06 2.63 2.38 2.36 2.35 1990's 2.57 2.41 2.41 2.83 2.47 2.00 2.71 2.72 2.08 1.97 2000's 3.59 4.76 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Pennsylvania Natural Gas Prices

176

Tennessee Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Tennessee Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.20 1970's 0.20 0.22 0.23 0.24 0.28 0.36 0.49 0.73 0.89 1.26 1980's 1.73 2.25 2.96 3.19 2.94 3.01 2.29 1.85 1.78 1.97 1990's 1.94 2.61 2.44 2.23 1.88 1.59 2.57 2.52 2.17 2.04 2000's 3.44 4.13 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Tennessee Natural Gas Prices

177

Practical algorithms for distributed network control  

E-Print Network (OSTI)

Optimal routing and scheduling algorithms have been studied for decades, however several practical issues prevent the adoption of these network control policies on the Internet. This thesis considers two distinct topics ...

Jones, Nathaniel Matthew

2013-01-01T23:59:59.000Z

178

Robust Distributed Spectrum Sensing in Cognitive Radio Networks  

E-Print Network (OSTI)

unlicensed radios to operate in licensed spectrum, provided no harmful interference is expe- riencedRobust Distributed Spectrum Sensing in Cognitive Radio Networks Ruiliang Chen, Jung-Min Park {rlchen, jungmin, kgbian}@vt.edu Abstract--Distributed spectrum sensing (DSS) enables a Cog- nitive Radio

179

Electron energy distribution function control in gas discharge plasmas  

SciTech Connect

The formation of the electron energy distribution function (EEDF) and electron temperature in low temperature gas discharge plasmas is analyzed in frames of local and non-local electron kinetics. It is shown, that contrary to the local case, typical for plasma in uniform electric field, there is the possibility for EEDF modification, at the condition of non-local electron kinetics in strongly non-uniform electric fields. Such conditions naturally occur in some self-organized steady state dc and rf discharge plasmas, and they suggest the variety of artificial methods for EEDF modification. EEDF modification and electron temperature control in non-equilibrium conditions occurring naturally and those stimulated by different kinds of plasma disturbances are illustrated with numerous experiments. The necessary conditions for EEDF modification in gas discharge plasmas are formulated.

Godyak, V. A. [Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, Michigan 48109, USA and RF Plasma Consulting, Brookline, Massachusetts (United States)] [Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, Michigan 48109, USA and RF Plasma Consulting, Brookline, Massachusetts (United States)

2013-10-15T23:59:59.000Z

180

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

E-Print Network (OSTI)

Regulator Based Power Distribution Design Under WorstTanmoy Roy. Power Distribution System Design Methodology andChen, 3D Power Distribution Network Co-design for Nanoscale

Hu, Xiang

2012-01-01T23:59:59.000Z

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


181

Distributed A Wireless Sensor Network for  

E-Print Network (OSTI)

. . . . . . . . . . . . . . . . . . . . . . . . 11 4.3.1 Transmission Lines . . . . . . . . . . . . . . . . . . . . . . 12 4.3.2 Microstrip LinesOS is used as a software platform, and the Collection Tree Protocol (CTP) currently handles multi-hop routing-wave Monopole Antennas . . . . . . . . . . . . . 13 5 MAC and Routing in Wireless Sensor Networks 14 5.1 Medium

182

Wireless Sensor Networks for the Protection of an Electrical Energy Distribution Infrastructure  

E-Print Network (OSTI)

Wireless Sensor Networks for the Protection of an Electrical Energy Distribution Infrastructure Ant. Keywords: Wireless Sensor Networks, Critical Infrastructure Protection, Electrical Energy Distribution of critical points of failure. Fig. 1. MV/LV electricity distribution infrastructure. The Wireless Sensor

Boyer, Edmond

183

Fuzzy decision support software for crisis management in gas transmission networks  

Science Journals Connector (OSTI)

In this work, a new software for fuzzy decision support system, with a new decision making structure, to control the crisis conditions in the gas transmission network is developed. This system after receiving both functional variables of the gas transmission ... Keywords: Decision support system, Fuzzy decision making, Gas transmission network, Multicriteria decision making, Software development

Hoda Nokhbeh Foghahaayee, Mohammad Bagher Menhaj, Hasan Montazer Torbati

2014-05-01T23:59:59.000Z

184

A Network Model for The Genesis and Migration of Gas Phase  

E-Print Network (OSTI)

1 A Network Model for The Genesis and Migration of Gas Phase Koukung Alex Chang and W. Brent, of a compositional fluid consisting of water with a dissolved hydrocarbon gas. The model captures both single phase 99% of the (effectively) stored CO2 resides in the liquid phase. Key Words: network model, gas

New York at Stoney Brook, State University of

185

UK scenario of islanded operation of active distribution networks with renewable distributed generators  

Science Journals Connector (OSTI)

This paper reports on the current UK scenario of islanded operation of active distribution networks with renewable distributed generators (RDGs). Different surveys indicate that the present scenario does not economically justify islanding operation of active distribution networks with RDGs. With rising DG penetration, much benefit would be lost if the \\{DGs\\} are not allowed to island only due to conventional operational requirement of utilities. Technical studies clearly indicate the need to review parts of the Electricity Safety, Quality and Continuity Regulations (ESQCR) for successful islanded operations. Commercial viability of islanding operation must be assessed in relation to enhancement of power quality, system reliability and supply of potential ancillary services through network support. Demonstration projects under Registered Power Zone and Technical Architecture Projects should be initiated to investigate the utility of DG islanding. However these efforts should be compounded with a realistic judgement of the associated technical and economic issues for the development of future power networks beyond 2010.

S.P. Chowdhury; S. Chowdhury; P.A. Crossley

2011-01-01T23:59:59.000Z

186

Universal Behavior of Load Distribution in Scale-Free Networks  

Science Journals Connector (OSTI)

We study a problem of data packet transport in scale-free networks whose degree distribution follows a power law with the exponent ?. Load, or betweenness centrality, of a vertex is the accumulated total number of data packets passing through that vertex when every pair of vertices sends and receives a data packet along the shortest path connecting the pair. It is found that the load distribution follows a power law with the exponent ??2.2(1), insensitive to different values of ? in the range, 2load exponent is a universal quantity to characterize scale-free networks.

K.-I. Goh; B. Kahng; D. Kim

2001-12-12T23:59:59.000Z

187

Gas Distribution in Unventilated Indoor Environments Inspected by a Mobile Robot  

E-Print Network (OSTI)

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

Zell, Andreas

188

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

SciTech Connect

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

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

2009-11-30T23:59:59.000Z

189

Distributed Spatial Analysis in Wireless Sensor Networks  

E-Print Network (OSTI)

is essential for energy efficiency. In this context, the main contributions of this paper to the literature phenomena (e.g., areas of mist over a cultivated field). The paper then describes distributed.g., whether the mist is adjacent, or inside, or outside a cultivated field) in the specific case where

Fernandes, Alvaro A. A.

190

Thermodynamic Cycle Selection for Distributed Natural Gas Liquefaction  

Science Journals Connector (OSTI)

Natural gas liquefaction plants with cooling capacities of approximately 100 kW are facilitating the development of a distributed LNG infrastructure. To be economically viable liquefiers of this scale must be able to operate on a variety of feed gases while offering relatively low capital costs short delivery time and good performance. This paper opens with a discussion of a natural gas liquefier design focusing on the refrigeration system. Linde cascade mixed refrigerant and modified?Brayton cycle refrigeration systems are then discussed in context of the overall plant design. Next a detailed comparison of the modified?Brayton and mixed refrigerant cycles is made including cycle selections impact on main system components like the recuperative heat exchanger and compressors. In most cases a reverse?Brayton or a mixed refrigerant cycle refrigerator is the best?suited available technology for local liquefaction. The mixed refrigerant cycle liquefier offers the potential of better real performance at lower capital costs but requires more know?how in the areas of two?phase flow and refrigerant composition management heat exchanger design and process control.

M. A. Barclay; D. F. Gongaware; K. Dalton; M. P. Skrzypkowski

2004-01-01T23:59:59.000Z

191

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

Energy.gov (U.S. Department of Energy (DOE))

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.

192

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

193

Toward Secure Distributed Spectrum Sensing in Cognitive Radio Networks  

E-Print Network (OSTI)

1 Toward Secure Distributed Spectrum Sensing in Cognitive Radio Networks Ruiliang Chen, Jung}@vt.edu Abstract Cognitive radio (CR) is a revolutionary technology that promises to alleviate the spectrum shortage problem and to bring about remarkable improvement in spectrum utilization. Spectrum sensing is one

194

MP-DSM: A Distributed Cross Layer Network Control Protocol  

E-Print Network (OSTI)

MP-DSM: A Distributed Cross Layer Network Control Protocol Daniel C. O'Neill, Yan Li, and Stephen, transmitter powers and delay. The Direct Step Method, DSM, which captures this interaction and con- trols system performance under TCP or other protocols has been described in [1]. DSM finds optimal routes

195

Topic 5: Renewable Power 1Networking and Distributed Systems  

E-Print Network (OSTI)

Communications and Control in Smart Grid 10 · Wave power is the energy from ocean surface waves. · Orbital motion the device to the ocean floor to hold it. cable Power modules Tubular section #12;Wave Energy Converter DrTopic 5: Renewable Power 1Networking and Distributed Systems Department of Electrical & Computer

Mohsenian-Rad, Hamed

196

Distributed, Adaptive Algorithm for Deployment of Nonholonomic Sensor Networks  

E-Print Network (OSTI)

-wise continuous light distribution function. I. INTRODUCTION The problem of controlling networked robots has, manipulation in hazardous environments [1], ex- ploration, rescue missions, automatic surveillance [2] over a group of mobile sensors to solve a facility location problem [11] by using centroidal Voronoi

197

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

SciTech Connect

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.

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

2013-03-01T23:59:59.000Z

198

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

E-Print Network (OSTI)

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

Grossmann, Ignacio E.

199

EIA - Natural Gas Pipeline Network - Interstate Pipelines Segment  

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

Interstate Natural Gas Pipeline Segment About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Interstate Natural Gas...

200

Joint physical and numerical modeling of water distribution networks.  

SciTech Connect

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.

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

2009-01-01T23:59:59.000Z

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


201

Artificial neural network models for predicting condition of offshore oil and gas pipelines  

Science Journals Connector (OSTI)

Abstract Pipelines daily transport and distribute huge amounts of oil and gas across the world. They are considered the safest method of transporting oil and gas because of their limited number of failures. However, pipelines are subject to deterioration and degradation. It is therefore important that pipelines be effectively monitored to optimize their operation and to reduce their failures to an acceptable safety limit. Numerous models have been developed recently to predict pipeline conditions. Nevertheless, most of these models have used corrosion features alone to assess the condition of pipelines. Hence, this paper presents the development of models that evaluate and predict the condition of offshore oil and gas pipelines based on several factors besides corrosion. The models were developed using artificial neural network (ANN) technique based on historical inspection data collected from three existing offshore oil and gas pipelines in Qatar. The models were able to successfully predict pipeline conditions with an average percent validity above 97% when applied to the validation data set. The models are expected to help pipeline operators to assess and predict the condition of existing oil and gas pipelines and hence prioritize the planning of their inspection and rehabilitation.

Mohammed S. El-Abbasy; Ahmed Senouci; Tarek Zayed; Farid Mirahadi; Laya Parvizsedghy

2014-01-01T23:59:59.000Z

202

Analysis on Current Status of the Gas Filling Station Networks Website |  

Open Energy Info (EERE)

Analysis on Current Status of the Gas Filling Station Networks Website Analysis on Current Status of the Gas Filling Station Networks Website Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Analysis on Current Status of the Gas Filling Station Networks Website Focus Area: Natural Gas Topics: Potentials & Scenarios Website: www.gashighway.net/default.asp?sivuID=25922&component=/modules/bbsView Equivalent URI: cleanenergysolutions.org/content/analysis-current-status-gas-filling-s Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This website provides country level analyses of natural gas fueling station networks, the need for further fueling stations and their optimal locations in certain countries. Proposed network expansion strategies are based on available information on vehicle travel patterns and geographic

203

Phase Identification in Distribution Networks with Micro-Synchrophasors  

E-Print Network (OSTI)

This paper proposes a novel phase identification method for distribution networks where phases can be severely unbalanced and insufficiently labeled. The analysis approach draws on data from high-precision phasor measurement units (micro-synchrophasors or uPMUs) for distribution systems. A key fact is that time-series voltage phasors taken from a distribution network show specific patterns regarding connected phases at measurement points. The algorithm is based on analyzing crosscorrelations over voltage magnitudes along with phase angle differences on two candidate phases to be matched. If two measurement points are on the same phase, large positive voltage magnitude correlations and small voltage angle differences should be observed. The algorithm is initially validated using the IEEE 13-bus model, and subsequently with actual uPMU measurements on a 12-kV feeder.

Wen, Miles H F; von Meier, Alexandra; Poolla, Kameshwar; Li, Victor O K

2015-01-01T23:59:59.000Z

204

Optimal allocation of stochastically dependent renewable energy based distributed generators in unbalanced distribution networks  

Science Journals Connector (OSTI)

Abstract This paper proposes an algorithm for modeling stochastically dependent renewable energy based distributed generators for the purpose of proper planning of unbalanced distribution networks. The proposed algorithm integrate the diagonal band Copula and sequential Monte Carlo method in order to accurately consider the multivariate stochastic dependence between wind power, photovoltaic power and the system demand. Secondly, an efficient algorithm based on modification of the traditional Big Bang-Big crunch method is proposed for optimal placement of renewable energy based distributed generators in the presence of dispatchable distributed generation. The proposed optimization algorithm aims to minimize the energy loss in unbalanced distribution systems by determining the optimal locations of non-dispatchable distributed generators and the optimal hourly power schedule of dispatchable distributed generators. The proposed algorithms are implemented in MATLAB environment and tested on the IEEE 37-node feeder. Several case studies are done and the subsequent discussions show the effectiveness of the proposed algorithms.

A.Y. Abdelaziz; Y.G. Hegazy; Walid El-Khattam; M.M. Othman

2015-01-01T23:59:59.000Z

205

Leader election in distributed networks using agent based self-stabilizing technique  

E-Print Network (OSTI)

There are many variants of leader election algorithm in distributed networks. In this research, an agent based approach to leader election in distributed networks is investigated. Agents have shown to be useful in several ways. In the theoretical...

Tandon, Raghav

2004-09-30T23:59:59.000Z

206

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...

207

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

E-Print Network (OSTI)

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

Hall, Sharon J.

208

U.S. Natural Gas Pipeline & Distribution Use (Million Cubic Feet...  

NLE Websites -- All DOE Office Websites (Extended Search)

& Distribution Use (Million Cubic Feet) U.S. Natural Gas Pipeline & Distribution Use (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 76,386 65,770...

209

A DISTRIBUTED FRAMEWORK FOR PASSIVE WORM DETECTION AND THROTTLING IN P2P NETWORKS  

E-Print Network (OSTI)

.g. Distributed.net and Adhoc Networks) and distributed computing (e.g. Seti@home and Folding@home). Decentralized

Tokarchuk, Laurissa

210

An Autonomy Oriented Computing (AOC) Approach to Distributed Network Community Mining  

Science Journals Connector (OSTI)

A network community is a special sub-network that contains a group of nodes sharing similar linked patterns. A distributed network community mining problem (D-NCMP) is concerned with finding all such communities from a distributed network. A variety ...

Bo Yang; Jiming Liu

2007-07-01T23:59:59.000Z

211

Network Capacity Assessment of CHP-based Distributed Generation on Urban Energy Distribution Networks.  

E-Print Network (OSTI)

??The combined heat and power (CHP)-based distributed generation (DG) or dis-tributed energy resources (DERs) are mature options available in the present energy mar-ket, considered to (more)

Zhang, Xianjun

2013-01-01T23:59:59.000Z

212

Physical Design for Reduced Delay Uncertainty in High Performance Clock Distribution Networks  

E-Print Network (OSTI)

531 Physical Design for Reduced Delay Uncertainty in High Performance Clock Distribution Networks, the design of a clock distribution network represents one of the most challenging tasks in the integrated in the design of a high performance clock distribution network [1]. The uncertainty of the clock signal delay

Friedman, Eby G.

213

Improvement of LNG production technology in gas-distribution stations with an increased content of carbon dioxide in supply-line gas  

Science Journals Connector (OSTI)

The possibility is considered of reducing the weight of absorbent in a carbon dioxide gas cleaning system during liquefied natural gas production in gas-distribution stations (due to use of a pressure drop ... is...

S. P. Gorbachev; S. V. Lyugai

2009-11-01T23:59:59.000Z

214

2012 SG Peer Review - Enhanced DMS Capabilities Supporting Distribution Network DER - Tristan Glenwright, Boeing  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DE-OE0000549: Enhanced Distribution Management System Capabilities Supporting Distribution Network Distributed Energy Resources Tristan E. Glenwright The Boeing Company June 8, 2012 Copyright © 2012 Boeing. All rights reserved. December 2008 DE-OE0000549 Enhanced Distribution Management System Capabilities Supporting Distribution Network Distributed Energy Resources Objective Life-cycle Funding Summary ($K) Technical Scope 1. Determine thresholds of Distributed Energy Resource (DER) penetration in distribution grids that drive significant impacts to network stability and reliability 2. Validate ability of Boeing Distribution Management System (BDMS) advanced controls to mitigate effects of increased DER and to leverage DER and DR for SAIDI and Load Factor

215

Application of Artificial Neural Network for Estimating Tight Gas Sand Intrinsic Permeability  

Science Journals Connector (OSTI)

Application of Artificial Neural Network for Estimating Tight Gas Sand Intrinsic Permeability ... This jth neuron occupies a general position in the network since it accepts inputs from nodes in the input layer and sends its output to neurons to the second hidden layer. ... (15)?Veelenturf, L. P. J. Analysis and Applications of Artificial Neural Networks; Prentice Hall:? London, 1995. ...

Ali A. Garrouch; Nejib Smaoui

1996-09-19T23:59:59.000Z

216

Wireless sensor networks for off-shore oil and gas installations  

E-Print Network (OSTI)

the production process, to either prevent or detect oil and gas leakage or to enhance the production flow ­ Underwater development and production of oil and gas needs networked sensors and actuators to monitor and communication technology (ICT) enables the oil, gas and energy (OGE) industries to increase productivity

Gjessing, Stein

217

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

E-Print Network (OSTI)

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

Grossmann, Ignacio E.

218

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

E-Print Network (OSTI)

1 GLOBAL OPTIMIZATION OF MULTIPHASE FLOW NETWORKS IN OIL AND GAS PRODUCTION SYSTEMS MSc. Hans in an oil production system is developed. Each well may be manipulated by injecting lift gas and adjusting in the maximum oil flow rate, water flow rate, liquid flow rate, and gas flow rate. The wells may also

Johansen, Tor Arne

219

Distributed Hydrogen Production from Natural Gas: Independent Review Panel Report  

Energy.gov (U.S. Department of Energy (DOE))

Independent review report on the available information concerning the technologies needed for forecourts producing 150 kg/day of hydrogen from natural gas.

220

TRUCK ROUTING PROBLEM IN DISTRIBUTION OF GASOLINE TO GAS STATIONS.  

E-Print Network (OSTI)

??This thesis aims at finding a daily routing plan for a fleet of vehicles delivering gasoline to gas stations for an oil company, satisfying all (more)

Janakiraman, Swagath

2010-01-01T23:59:59.000Z

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


221

Distributed Hydrogen Production from Natural Gas: Independent Review  

SciTech Connect

Independent review report on the available information concerning the technologies needed for forecourts producing 150 kg/day of hydrogen from natural gas.

Fletcher, J.; Callaghan, V.

2006-10-01T23:59:59.000Z

222

Pipeline Annual Data - 1997 Gas Distribution Annuals Data (Zip) | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

7 Gas Distribution Annuals Data (Zip) 7 Gas Distribution Annuals Data (Zip) Energy Data Apps Maps Challenges Resources Blogs Let's Talk Energy Beta You are here Data.gov » Communities » Energy » Data Pipeline Annual Data - 1997 Gas Distribution Annuals Data (Zip) Dataset Summary Description Pipeline operators (for gas distribution, gas transmission, and hazardous liquid pipelines) are required to submit an annual report to the Pipeline and Hazardous Materials Safety Administration's Office of Pipeline Safety. The report includes information about the operator, a description of their system (main, services), leaks eliminated/repaired during the year, excavation damage, excess flow valves, and other information. Beginning in 2010, the form also includes information regarding integrity management programs.

223

Expansion and Change on the U.S. Natural Gas Pipeline Network 2002  

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

Expansion and Change on the U.S. Natural Gas Pipeline Network 2002 Expansion and Change on the U.S. Natural Gas Pipeline Network 2002 EIA Home > Natural Gas > Natural Gas Analysis Publications Expansion and Change on the U.S. Natural Gas Pipeline Network 2002 Printer-Friendly Version Expansion and Change on the U.S. Natural Gas Pipeline Network - 2002 Text Box: This special report looks at the level of new capacity added to the national natural gas pipeline network in 2002 and the current capability of that network to transport supplies from production areas to U.S. markets. In addition, it examines the amount of additional capacity proposed for development during the next several years and to what degree various proposed projects will improve the deliverability of natural gas to key market areas. Questions or comments on the contents of this article should be directed to James Tobin at james.tobin@eia.doe.gov or (202) 586-4835. james.tobin@eia.doe.gov

224

A Simple Physical Model for the Gas Distribution in Galaxy Clusters  

E-Print Network (OSTI)

The dominant baryonic component of galaxy clusters is hot gas whose distribution is commonly probed through X-ray emission arising from thermal bremsstrahlung. The density profile thus obtained has been traditionally modeled with a beta-profile, a simple function with only three parameters. However, this model is known to be insufficient for characterizing the range of cluster gas distributions, and attempts to rectify this shortcoming typically introduce additional parameters to increase the fitting flexibility. We use cosmological and physical considerations to obtain a family of profiles for the gas with fewer parameters than the beta-model but which better accounts for observed gas profiles over wide radial intervals.

Patej, Anna

2014-01-01T23:59:59.000Z

225

Phase distribution and intrapore salt exchange during drilling mud invasion of an oil- and gas-bearing formation  

Science Journals Connector (OSTI)

As a result of drilling mud filtrate invasion of a formation saturated with oil, gas and natural water, the distribution...

N. K. Korsakova; V. I. Penkovskii

2009-04-01T23:59:59.000Z

226

EIA - Natural Gas Pipeline Network - Regional Overview and Links  

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

Overview and Links About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Regional Overviews and Links to Pipeline...

227

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

SciTech Connect

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.

Ellison, James F.; Corbet, Thomas Frank,; Brooks, Robert E. [RBAC, Inc., Sherman Oaks, CA

2013-06-01T23:59:59.000Z

228

Scientific Visualization Applications in Oil & Gas Exploration and Production  

E-Print Network (OSTI)

Scientific Visualization Applications in Oil & Gas Exploration and Production SIBGRAPI 2009 #12 Property cross plots #12;Oil and gas production analysis and optimization SIBGRAPI 2009 Structural maps with property distributions Well schematics Production network Gas injection optimization Reservoir slices #12

Lewiner, Thomas (Thomas Lewiner)

229

Identification of Critical Parameters for Distribution Networks with DFIG and Dynamic loads  

E-Print Network (OSTI)

Identification of Critical Parameters for Distribution Networks with DFIG and Dynamic loads M. S of distribution network with Doubly Fed Induction Generator (DFIG) is presented in a different way where an analysis to investigate the critical parameters for distribution systems with dynamic loads where DFIGs

Pota, Himanshu Roy

230

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

E-Print Network (OSTI)

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

Armbruster, Dieter

231

Case Study of Optimal Byproduct Gas Distribution in Integrated Steel Mill Using Multi-Period Optimization  

E-Print Network (OSTI)

? ? ? Case Study of Optimal Byproduct Gas Distribution in Integrated Steel Mill Using Multi-Period Optimization KIMMO M?KINEN BUSINESS MANAGER TONI KYM?L?INEN PRODUCT MANAGER JAAKKO JUNTTILA SALES MANAGER ABB OY HELSINKI FINLAND...

Makinen, K.; Kymalainen, T.; Junttila, J.

2012-01-01T23:59:59.000Z

232

Numerical Investigation of Temperature Distribution on a High Pressure Gas Turbine Blade  

E-Print Network (OSTI)

A numerical code is developed to calculate the temperature distributions on the surface of a gas turbine blade. This code is a tool for quick prediction of the temperatures by knowing the boundary conditions and the flow conditions, and doesn...

Zirakzadeh, Hootan

2014-08-10T23:59:59.000Z

233

Reliability analysis of urban gas transmission and distribution system based on FMEA and correlation operator  

Science Journals Connector (OSTI)

In order to improve the safety management of urban gas transmission and distribution system, failure mode and effects analysis (FMEA) was used to construct the reliability analysis ... the risk priority number (R...

Su Li; Weiguo Zhou

2014-12-01T23:59:59.000Z

234

384 JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 19, NO. 2, APRIL 2010 Monolithically Integrated Gas Distribution  

E-Print Network (OSTI)

Gas Distribution Chamber for Silicon MEMS Fuel Cells Antonio Luque, Senior Member, IEEE, José M polymer-electrolyte-membrane fuel cell. The silicon struc- ture contains the mechanical support, gas of the membrane. Experimental results of the usage of the chamber as part of a fuel cell are shown, comparing

Wilamowski, Bogdan Maciej

235

Abstract--This paper presents the impact of different types of load models in distribution network with distributed wind  

E-Print Network (OSTI)

as a major enabler of the smart grid for the integration of small and medium sized renewable energy basedAbstract--This paper presents the impact of different types of load models in distribution network with distributed wind generation. The analysis is carried out for a test distribution system representative

Pota, Himanshu Roy

236

Gas Deliverability Using the Method of Distributed Volumetric Sources  

E-Print Network (OSTI)

larger part of the well lifetime and these pseudosteady-state productivity calculations become less applicable in prediction of the reservoir?s production behavior. The Distributed Volumetric Sources (DVS) method seems able to fill this gap. Our method...

Jin, Xiaoze

2010-01-15T23:59:59.000Z

237

Energy-efficient networking for content distribution over telecom network infrastructure  

Science Journals Connector (OSTI)

Abstract The use of content-based services over telecom network infrastructures is growing rapidly as user-generated content, over-the-top videos, on-demand videos, personalized TV with CatchUp/PauseLive features, etc. are becoming increasingly popular. To meet the demands of such services, content-delivery networks (or content-distribution networks (CDN)) are being deployed over these telecom network infrastructures in a similar fashion as traditional CDNs. However, with the increasing energy consumption and carbon footprint of the information and communication technology (ICT) industry, these \\{CDNs\\} must be designed to include energy-efficiency measures. Our study presents energy-consumption models, analysis, and content-placement techniques for different types of \\{CDNs\\} over telecom networks to reduce energy usage. Our suggested content-placement strategies exploit variations between storage power consumption and transmission power consumption to achieve energy efficiency. Also, in dynamic traffic scenarios, our content-placement strategies utilize the time-varying traffic irregularities of content-based services. By creating more content replicas during peak load and less replicas during off-peak load, dynamic approaches can save substantial amount of energy. Illustrative numerical examples show a significant improvement in the CDN energy efficiency using these approaches.

Uttam Mandal; Pulak Chowdhury; Christoph Lange; Andreas Gladisch; Biswanath Mukherjee

2013-01-01T23:59:59.000Z

238

Design and Modeling of Centralized Distribution Network for the DC House Project.  

E-Print Network (OSTI)

?? This thesis focuses on the design, modeling, simulation, and performance evaluation of Centralized Distribution Network for the DC House Project. Power System Computer Aided (more)

Bassi, Harpreet S.

2013-01-01T23:59:59.000Z

239

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

SciTech Connect

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.

Nam, Kwanwoo; Chung, Wooho; Noh, Chang Hyun; Kang, Dong Kwon; Kang, Kyoung-O; Ahn, Hee Jae; Lee, Hyeon Gon [ITER Korea, National Fusion Research Institute, Daejeon 305-333 (Korea, Republic of)

2014-01-29T23:59:59.000Z

240

Enhancements for distributed certificate authority approaches for mobile wireless ad hoc networks.  

SciTech Connect

Mobile wireless ad hoc networks that are resistant to adversarial manipulation are necessary for distributed systems used in military and security applications. Critical to the successful operation of these networks, which operate in the presence of adversarial stressors, are robust and efficient information assurance methods. In this report we describe necessary enhancements for a distributed certificate authority (CA) used in secure wireless network architectures. Necessary cryptographic algorithms used in distributed CAs are described and implementation enhancements of these algorithms in mobile wireless ad hoc networks are developed. The enhancements support a network's ability to detect compromised nodes and facilitate distributed CA services. We provide insights to the impacts the enhancements will have on network performance with timing diagrams and preliminary network simulation studies.

Van Leeuwen, Brian P.; Michalski, John T.; Anderson, William Erik

2003-12-01T23:59:59.000Z

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


241

A self-organization method for reorganizing resources in a distributed network  

Science Journals Connector (OSTI)

Using bio-inspired agents to reorganize resource has been adopted to address the distributed resource optimization issue in distributed networks. This paper presents a self-organization algorithm to reorganize resources by the use of autonomous agents ...

Xiaolong Guo; Jia-jin Huang

2012-12-01T23:59:59.000Z

242

Fast Electromagnetic Interference Analysis of Distributed Networks using Longitudinal Partitioning Based Waveform Relaxation  

E-Print Network (OSTI)

Fast Electromagnetic Interference Analysis of Distributed Networks using Longitudinal Partitioning -- In this paper, a waveform relaxation algorithm for the fast electromagnetic interference analysis of distributed is provided to demonstrate the validity of the proposed algorithm. Index Terms -- Electromagnetic interference

Roy, Sourajeet

243

Coking Plants, Coal-to-gas Plants, Gas Production and Distribution  

Science Journals Connector (OSTI)

This environmental brief covers various coal upgrading technologies, incl. coking and low-temperature carbonization as processes yielding the target products coke and gas plus tar products and diverse...

1995-01-01T23:59:59.000Z

244

Pipeline Annual Data - 1996 Gas Distribution Annuals Data (Zip) | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Distribution Annuals Data (Zip) Distribution Annuals Data (Zip) Energy Data Apps Maps Challenges Resources Blogs Let's Talk Energy Beta You are here Data.gov » Communities » Energy » Data Pipeline Annual Data - 1996 Gas Distribution Annuals Data (Zip) Dataset Summary Description Pipeline operators (for gas distribution, gas transmission, and hazardous liquid pipelines) are required to submit an annual report to the Pipeline and Hazardous Materials Safety Administration's Office of Pipeline Safety. The report includes information about the operator, a description of their system (main, services), leaks eliminated/repaired during the year, excavation damage, excess flow valves, and other information. Beginning in 2010, the form also includes information regarding integrity management programs.

245

EIA - Natural Gas Pipeline Network - Pipeline Capacity and Utilization  

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

Pipeline Utilization & Capacity Pipeline Utilization & Capacity About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Pipeline Capacity & Utilization Overview | Utilization Rates | Integration of Storage | Varying Rates of Utilization | Measures of Utilization Overview of Pipeline Utilization Natural gas pipeline companies prefer to operate their systems as close to full capacity as possible to maximize their revenues. However, the average utilization rate (flow relative to design capacity) of a natural gas pipeline system seldom reaches 100%. Factors that contribute to outages include: Scheduled or unscheduled maintenance Temporary decreases in market demand Weather-related limitations to operations

246

Work distribution of an expanding gas and transverse energy production in relativistic heavy ion collisions  

E-Print Network (OSTI)

The work distribution of an expanding extreme relativistic gas is shown to be a gamma distribution with a different shape parameter as compared with its non-relativistic counterpart. This implies that the shape of the transverse energy distribution in relativistic heavy ion collisions depends on the particle contents during the evolution of the hot and dense matter. Therefore, transverse energy fluctuations provide additional insights into the Quark-Gluon Plasma produced in these collisions.

Bin Zhang; Jay P. Mayfield

2014-01-19T23:59:59.000Z

247

Work distribution of an expanding gas and transverse energy production in relativistic heavy ion collisions  

E-Print Network (OSTI)

The work distribution of an expanding extreme relativistic gas is shown to be a gamma distribution with a different shape parameter as compared with its non-relativistic counterpart. This implies that the shape of the transverse energy distribution in relativistic heavy ion collisions depends on the particle contents during the evolution of the hot and dense matter. Therefore, transverse energy fluctuations provide additional insights into the Quark-Gluon Plasma produced in these collisions.

Zhang, Bin

2013-01-01T23:59:59.000Z

248

EIA - Natural Gas Pipeline Network - Transportation Process & Flow  

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

Process and Flow Process and Flow About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Transportation Process and Flow Overview | Gathering System | Processing Plant | Transmission Grid | Market Centers/Hubs | Underground Storage | Peak Shaving Overview Transporting natural gas from the wellhead to the final customer involves several physical transfers of custody and multiple processing steps. A natural gas pipeline system begins at the natural gas producing well or field. Once the gas leaves the producing well, a pipeline gathering system directs the flow either to a natural gas processing plant or directly to the mainline transmission grid, depending upon the initial quality of the wellhead product.

249

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

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

Pipelines Pipelines About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Import/Export Pipelines As of the close of 2008 the United States has 58 locations where natural gas can be exported or imported. 24 locations are for imports only 18 locations are for exports only 13 locations are for both imports and exports 8 locations are liquefied natural gas (LNG) import facilities Imported natural gas in 2007 represented almost 16 percent of the gas consumed in the United States annually, compared with 11 percent just 12 years ago. Forty-eight natural gas pipelines, representing approximately 28 billion cubic feet (Bcf) per day of capacity, import and export natural gas between the United States and Canada or Mexico.

250

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

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

Regional/State Underground Natural Gas Storage Table Regional/State Underground Natural Gas Storage Table About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Regional Underground Natural Gas Storage, Close of 2007 Depleted-Reservoir Storage Aquifer Storage Salt-Cavern Storage Total Region/ State # of Sites Working Gas Capacity (Bcf) Daily Withdrawal Capability (MMcf) # of Sites Working Gas Capacity (Bcf) Daily Withdrawal Capability (MMcf) # of Sites Working Gas Capacity (Bcf) Daily Withdrawal Capability (MMcf) # of Sites Working Gas Capacity (Bcf) Daily Withdrawal Capability (MMcf) Central Region Colorado 8 42 1,088 0 0 0 0 0 0 8 42 1,088 Iowa 0 0 0 4 77 1,060 0 0 0 4 77 1,060

251

Dynamical robustness of biological networks with hierarchical distribution of time scales  

E-Print Network (OSTI)

]. Networks of regulating micro-RNA could be key players in canalising genetic developmental programmes [15Dynamical robustness of biological networks with hierarchical distribution of time scales A, the robustness of the relax- ation time using a chemical reaction description of genetic and signalling networks

Radulescu, Ovidiu

252

ROSA: Distributed Joint Routing and Dynamic Spectrum Allocation in Cognitive Radio Ad Hoc Networks  

E-Print Network (OSTI)

ROSA: Distributed Joint Routing and Dynamic Spectrum Allocation in Cognitive Radio Ad Hoc Networks opportunistic spectrum access and dynamic routing algorithm for cognitive radio networks is proposed, called Keywords Cognitive Radio Networks, routing, dynamic spectrum allocation, cross-layer design 1. INTRODUCTION

Melodia, Tommaso

253

Socially-Aware Multi-phase Opportunistic Routing for Distributed Mobile Social Networks  

Science Journals Connector (OSTI)

The work presented in this paper focuses on opportunistic routing in distributed Mobile Social Networks (MSNs). It proposes a novel routing protocol called Socially-Aware Multi-Phase Opportunistic (SAMPhO), where the routing procedure for each message ... Keywords: Mobile social networks, Multi-phase, OMNeT++, Opportunistic routing, Social network discovery, Social ties

Nikolaos Vastardis, Kun Yang, Supeng Leng

2014-11-01T23:59:59.000Z

254

NetStep: a micro-stepped distributed network simulation Olivier Dalle  

E-Print Network (OSTI)

NetStep: a micro-stepped distributed network simulation framework Olivier Dalle Laboratoire I3S UMR This paper presents NetStep, a prototype for the distributed simulation of very large scale network simulations, such as the simulation of peer-to-peer applications. We use sim- ulation micro-steps as a means

Paris-Sud XI, Université de

255

Fully Distributed Trust Model based on Trust Graph for Mobile Ad hoc Networks  

E-Print Network (OSTI)

Fully Distributed Trust Model based on Trust Graph for Mobile Ad hoc Networks Mawloud Omar, Yacine University of Technology, France. bouabdal@hds.utc.fr Abstract A mobile ad hoc network (MANET) is a wireless that defines who trusts who and how. Our work aims to provide a fully distributed trust model for mobile ad hoc

Paris-Sud XI, Université de

256

Towards Building an Optimal Demand Response Framework for DC Distribution Networks  

E-Print Network (OSTI)

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

Mohsenian-Rad, Hamed

257

An Electricity Trade Model for Multiple Power Distribution Networks in Smart Energy Systems  

E-Print Network (OSTI)

An Electricity Trade Model for Multiple Power Distribution Networks in Smart Energy Systems-interactive [1]-[3]. In order to switch from a centralized power distribution network (in which electrical energy Tiansong Cui, Yanzhi Wang, Shahin Nazarian, and Massoud Pedram Department of Electrical Engineering

Pedram, Massoud

258

Distributed Manufacturing Networks: Optimization via Preprocessing in Decision Guidance Query Language  

Science Journals Connector (OSTI)

The authors consider optimization problems expressed in Decision Guidance Query Language that may involve linear arithmetic constraints, as well as finite domain and binary variables. They focus on Distributed Manufacturing Network optimization problems ... Keywords: Decision Guidance, Decision Support, Distributed Manufacturing, Manufacturing Network, Optimization

Nathan Egge; Alexander Brodsky; Igor Griva

2012-07-01T23:59:59.000Z

259

EIA - Natural Gas Pipeline Network - Regional Overview and Links  

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

Overview and Links Overview and Links About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Regional Overviews and Links to Pipeline Companies Through a series of interconnecting interstate and intrastate pipelines the transportation of natural gas from one location to another within the United States has become a relatively seamless operation. While intrastate pipeline systems often transports natural gas from production areas directly to consumers in local markets, it is the interstate pipeline system's long-distance, high-capacity trunklines that supply most of the major natural gas markets in the United States. Of the six geographic regions defined in this analysis, the Southwest Region contains the largest number of individual natural gas pipeline systems (more than 90) and the highest level of pipeline mileage (over 106,000).

260

Statistics of modifier distributions in mixed network glasses  

Science Journals Connector (OSTI)

The constituents of any network glass can be broadly classified as either network formers or network modifiers. Network formers such as SiO2 Al2O3 B2O3 P2O5 etc. provide the backbone of the glass network and are the primary source of its rigid constraints. Network modifiers play a supporting role such as charge stabilization of the network formers or alteration of the network topology through rupture of bridging bonds and introduction of floppy modes. The specific role of the modifiers depends on which network formers are present in the glass and the relative free energies of modifier interactions with each type of network former site. This variation of free energy with modifier speciation is responsible for the so-called mixed network former effect i.e. the nonlinear scaling of property values in glasses having fixed modifier concentration but a varying ratio of network formers. In this paper a general theoretical framework is presented describing the statistical mechanics of modifier speciation in mixed network glasses. The model provides a natural explanation for the mixed network former effect and also accounts for the impact of thermal history and relaxation on glass network topology.

John C. Mauro

2013-01-01T23:59:59.000Z

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


261

U.S. Distribution and Production of Oil and Gas Wells | OpenEI  

Open Energy Info (EERE)

Distribution and Production of Oil and Gas Wells Distribution and Production of Oil and Gas Wells Dataset Summary Description Distribution tables of oil and gas wells by production rate for all wells, including marginal wells, are available from the EIA for most states for the years 1919 to 2009. Graphs displaying historical behavior of well production rate are also available. The quality and completeness of data is dependent on update lag times and the quality of individual state and commercial source databases. Undercounting of the number of wells occurs in states where data is sometimes not available at the well level but only at the lease level. States not listed below will be added later as data becomes available. Source EIA Date Released January 07th, 2011 (3 years ago) Date Updated Unknown Keywords

262

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

SciTech Connect

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.

Dr. Chenn Zhou

2012-08-15T23:59:59.000Z

263

Sedimentological control on saturation distribution in Arctic gas-hydrate-bearing sands  

Science Journals Connector (OSTI)

A mechanistic model is proposed to predict/explain hydrate saturation distribution in converted free gas hydrate reservoirs in sub-permafrost formations in the Arctic. This 1-D model assumes that a gas column accumulates and subsequently is converted to hydrate. The processes considered are the volume change during hydrate formation and consequent fluid phase transport within the column, the descent of the base of gas hydrate stability zone through the column, and sedimentological variations with depth. Crucially, the latter enable disconnection of the gas column during hydrate formation, which leads to substantial variation in hydrate saturation distribution. One form of variation observed in Arctic hydrate reservoirs is that zones of very low hydrate saturations are interspersed abruptly between zones of large hydrate saturations. The model was applied to data from Mount Elbert well, a gas hydrate stratigraphic test well drilled in the Milne Point area of the Alaska North Slope. The model is consistent with observations from the well log and interpretations of seismic anomalies in the area. The model also predicts that a considerable amount of fluid (of order one pore volume of gaseous and/or aqueous phases) must migrate within or into the gas column during hydrate formation. This paper offers the first explanatory model of its kind that addresses converted free gas reservoirs from a new angle: the effect of volume change during hydrate formation combined with capillary entry pressure variation versus depth.

Javad Behseresht; Steven L. Bryant

2012-01-01T23:59:59.000Z

264

Optimization of the distribution of compressed natural gas (CNG) refueling stations: Swiss case studies  

Science Journals Connector (OSTI)

To become a mass-market product, compressed natural gas (CNG) cars will need a dense network of filling stations. The Swiss natural gas industry plans to invest in 350 additional CNG stations to supplement the existing 50 sites. Costbenefit analysis is used to define the optimal locations for these among the existing 3470 petrol filling stations. It is found using two simulations looking at equitable location of sites and socially optimal ones, that the investment in additional CNG infrastructure is unlikely to be socially advantageous.

Martin Frick; K.W. Axhausen; Gian Carle; Alexander Wokaun

2007-01-01T23:59:59.000Z

265

Photovoltaic Systems Interconnected onto Secondary Network Distribution Systems Success Stories  

Energy.gov (U.S. Department of Energy (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.

266

Processing dipole acoustic logging data to image fracture network in shale gas reservoirs  

Science Journals Connector (OSTI)

A recent advance in borehole remote acoustic reflection imaging is the utilization of a dipole acoustic system in a borehole to emit and receive elastic waves to and from a remote geologic reflector in formation. An important application of this new technique is the delineation of fracture network in shale gas reservoirs as interest and activities in shale gas exploration increase in China. We develop a data processing procedure and implement it to handle routine processing of dipole acoustic logging data. The procedure takes into account the characteristics of the dipole data such as frequency dispersion attenuation recording length and dipole source orientation etc. to obtain an image of reflectors within 20~30 meters around the borehole. We have applied the technique to process dipole acoustic data from several wells drilled into gas reservoirs in China. The obtained images clearly identify major fracture network in the gas producing intervals of the reservoir demonstrating the effectiveness of the imaging technique.

Zhuang Chunxi; Su Yuanda; Tang Xiaoming

2012-01-01T23:59:59.000Z

267

Natural Gas Compressor Stations on the Interstate Pipeline Network...  

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

consists of thinner-walled, smaller-diameter natural gas pipelines. The predominance of small-scale compressor stations is also reflected in the spread between the mean (average)...

268

Gas Network Optimization: A comparison of Piecewise Linear Models  

E-Print Network (OSTI)

aXM, Compaa de Expertos en Mercados, Colombian Power System Operator, Medelln, ...... rate of heat transfer per unit time and unit mass of the gas [W/kg].

2014-06-22T23:59:59.000Z

269

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

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

Pipelines > Import/Export Location List Pipelines > Import/Export Location List About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Currently, there are 58 locations at which natural gas can be exported or imported into the United States, including 9 LNG (liquefied natural gas) facilities in the continental United States and Alaska (There is a tenth U.S. LNG import facility located in Puerto Rico). At 28 of these locations natural gas or LNG currently can only be imported; while at 17 they may only be exported (1 LNG export facility is located in Alaska). At 13 of the 58 locations natural gas may, and sometimes does, flow in both directions, although at each of these sites the flow is primarily either import or export.

270

Application of evolutionary algorithms for the planning of urban distribution networks of medium voltage  

E-Print Network (OSTI)

AbstractCurrently, an important issue in power distribution is the need to optimize medium voltage (mv) networks serving urban areas. This paper shows how an evolutionary algorithm can be used as the basis for the type of efficient algorithm such optimization demands. The search for optimal network solution will be restricted to a graph defined from the urban map, so each graph branch represents a trench. The solution space (networks) is assumed with loop feeder circuits: networks with two electrical paths from the high voltage/medium voltage (hv/mv) substations to the customers. In the optimization process, the investment and loss load costs are considered taking into account the constraints of conductor capacities and voltage drop. The investment costs will take into account that some cables can be lying in the same trench. The process was applied for a Spanish city of 200 000 inhabitants. Index TermsEvolutionary algorithm, medium voltage network planning, network design, urban distribution network. I.

unknown authors

2002-01-01T23:59:59.000Z

271

Fractal distributions of dark matter and gas in the MareNostrum Universe  

E-Print Network (OSTI)

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.

Jose Gaite

2010-03-15T23:59:59.000Z

272

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

SciTech Connect

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.

Gaite, Jos, E-mail: jose.gaite@upm.es [Instituto de Microgravedad IDR, EIAE, Universidad Politcnica de Madrid, Pza. Cardenal Cisneros 3, E-28040 Madrid (Spain)

2010-03-01T23:59:59.000Z

273

Distributed clock generator for synchronous SoC using ADPLL network  

E-Print Network (OSTI)

Distributed clock generator for synchronous SoC using ADPLL network E. Zianbetov1 , D. Galayko1 , F, as well as suffering from reduced communication speed. Distributed clock generators are based on the local. The latter is a good candidate for on-chip distributed clock generation, because of better compatibility

Paris-Sud XI, Université de

274

Regional Distribution of the Locomotor Pattern-Generating Network in the Neonatal Rat Spinal Cord  

E-Print Network (OSTI)

Regional Distribution of the Locomotor Pattern-Generating Network in the Neonatal Rat Spinal Cord K/NMA, and was evidence of a distributed organization of unit generators inmonitored via hindlimb flexor (peroneal, Winnipeg, Manitoba R3E 0W3, Canada Cowley, K. C. and B. J. Schmidt. Regional distribution of the rhythmic

Manitoba, University of

275

Reactive power management of distribution networks with wind generation for improving voltage stability  

E-Print Network (OSTI)

Reactive power management of distribution networks with wind generation for improving voltage February 2013 Available online Keywords: Composite load Distributed generation D-STATCOM Q with distributed wind generation. Firstly, the impact of high wind penetration on the static voltage stability

Pota, Himanshu Roy

276

Factsheet: An Initiative to Help Modernize Natural Gas Transmission and Distribution Infrastructure  

Energy.gov (U.S. Department of Energy (DOE))

Today, the White House and the Department of Energy are hosting a Capstone Methane Stakeholder Roundtable. In addition, DOE is announcing a series of actions, partnerships, and stakeholder commitments to help modernize the nations natural gas transmission and distribution systems and reduce methane emissions.

277

Calculation of the electron distribution function of a rare gas nuclear induced plasma  

E-Print Network (OSTI)

1101 Calculation of the electron distribution function of a rare gas nuclear induced plasma A. M of the energy spectrum of the seed electrons. As an example, this calculation is applied to the case of neon ionisantes rapides est calculable, dans sa partie à basse et moyenne énergie, sans la connaissance précise

Paris-Sud XI, Université de

278

CARS, GAS, AND POLLUTION POLICIES Distributional and Efficiency Impacts of Gasoline Taxes  

E-Print Network (OSTI)

CARS, GAS, AND POLLUTION POLICIES Distributional and Efficiency Impacts of Gasoline Taxes, reduc- ing automobile-related gasoline consumption has become a major U.S. public policy issue. Recently, many analysts have called for new or more stringent policies to discourage gasoline consumption

Boyer, Edmond

279

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

DOE Patents (OSTI)

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.

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

1996-11-19T23:59:59.000Z

280

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

DOE Patents (OSTI)

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.

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

1996-01-01T23:59:59.000Z

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


281

Bayesian Networks and Geographical Information Systems for Environmental Risk Assessment for Oil and Gas Site Development  

E-Print Network (OSTI)

The objective of this work is to develop a Bayesian Network (BN) model to produce environmental risk maps for oil and gas site developments and to demonstrate the models scalability from a point to a collection of points. To reach this objective...

Varela Gonzalez, Patricia Ysolda

2013-04-03T23:59:59.000Z

282

Distributed Energy-Saving Algorithms for Wireless Networks.  

E-Print Network (OSTI)

??The rapid growth of wireless networks has led to increasing interest in designing new algorithms that can efficiently reduce the energy consumption of routers and (more)

Zazo Ruiz, Javier

283

Distributed Energy-Saving Algorithms for Wireless Networks.  

E-Print Network (OSTI)

??The rapid growth of wireless networks has led to increasing interest in designing new algorithms that can efficiently reduce the energy consumption of routers and (more)

Zazo Ruiz, Javier

2012-01-01T23:59:59.000Z

284

Robust Distributed Routing in Dynamical Networks - Part II: Strong Resilience, Equilibrium Selection and Cascaded Failures  

E-Print Network (OSTI)

Strong resilience properties of dynamical networks are analyzed for distributed routing policies. The latter are characterized by the property that the way the outflow at a non-destination node gets split among its outgoing ...

Como, Giacomo

285

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

E-Print Network (OSTI)

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 ...

Allen, Michael

286

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

E-Print Network (OSTI)

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.

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

2014-12-19T23:59:59.000Z

287

New York Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) New York Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.26 0.23 0.25 1970's 0.23 0.25 0.26 0.27 0.31 0.39 0.54 0.85 1.07 1.44 1980's 1.95 2.41 3.15 3.44 3.23 3.15 2.53 2.47 2.33 2.64 1990's 2.59 2.71 2.86 3.15 2.21 1.52 2.23 1.89 1.38 1.31 2000's 2.25 2.94 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use New York Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

288

Texas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Texas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.16 0.17 0.17 1970's 0.17 0.18 0.19 0.20 0.28 0.37 0.51 0.68 0.73 1.19 1980's 1.56 2.24 3.09 3.11 2.98 2.80 2.18 2.01 1.98 1.81 1990's 1.74 1.62 1.66 1.82 1.64 1.64 2.40 2.36 2.02 1.99 2000's 2.99 3.13 NA -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Texas Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

289

Ohio Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Ohio Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.22 0.23 0.23 1970's 0.23 0.27 0.28 0.30 0.32 0.43 0.53 0.87 1.01 1.37 1980's 1.92 2.33 3.04 3.42 3.28 3.28 2.79 2.64 2.43 2.54 1990's 2.61 2.66 2.83 2.53 2.50 2.03 2.88 2.80 3.20 2.63 2000's 3.41 5.18 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Ohio Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

290

Idaho Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Idaho Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.21 0.21 0.22 1970's 0.22 0.24 0.28 0.34 0.44 0.60 0.72 1.65 1.95 2.45 1980's 3.93 3.95 4.19 3.69 3.55 3.15 2.67 2.08 2.00 2.05 1990's 2.06 1.99 1.89 1.76 1.86 1.78 1.79 1.83 1.67 2.04 2000's 3.52 3.49 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Idaho Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

291

Utah Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Utah Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.21 0.21 0.21 1970's 0.21 0.22 0.28 0.29 0.34 0.54 0.67 1.40 1.72 1.88 1980's 2.94 3.17 2.67 2.94 2.99 3.19 2.93 2.66 2.84 2.18 1990's 2.25 2.51 2.25 1.91 1.94 1.57 1.68 2.20 2.05 1.92 2000's 3.19 2.97 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Utah Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

292

Poster: Building a test-bed for wireless sensor networking for under-water oil and gas installations  

E-Print Network (OSTI)

. Initially we are building a laboratory in a large water tank. Later we will cooperate with an oil and gasPoster: Building a test-bed for wireless sensor networking for under-water oil and gas@ifi.uio.no 1 Introduction and background When the oil and gas industry moves its production facilities

Zhou, Shengli

293

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

E-Print Network (OSTI)

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

Beigl, Michael

294

The design of electric motor car's body network based on CAN-bus distributed control  

Science Journals Connector (OSTI)

CAN-bus is a typical bus control technology, and is now widely applied in many areas. In view of the characteristics of the electric vehicle body, this paper puts forward a plan that applies CAN-bus technology to build electric vehicle body network. ... Keywords: CAN bus, distributed control, electric car and body network

Wang Jianfeng; Wang Dafang; Xiong Jie

2009-06-01T23:59:59.000Z

295

Distributed Spectrum Sensing in Cognitive Radio Networks with Fairness Consideration: Efficiency of  

E-Print Network (OSTI)

Distributed Spectrum Sensing in Cognitive Radio Networks with Fairness Consideration: Efficiency the spectrum of the licensed users. The licensed users are called primary users and the users of the cognitive radio network are called secondary users. Spectrum sensing is a crucial function for cognitive radio

Yuen, Chau

296

Joint Distributed Access Point Selection and Power Allocation in Cognitive Radio Networks  

E-Print Network (OSTI)

of the cognitive radio network (CRN). Most of the current works dealing with spectrum management in the CRN focus) spectrum mobility, rules that require the CUs to leave the channel if licensed users are detected. Many1 Joint Distributed Access Point Selection and Power Allocation in Cognitive Radio Networks Mingyi

Garcia, Alfredo

297

Distributed Mobile Disk Cover A Building Block for Mobile Backbone Networks  

E-Print Network (OSTI)

1 Distributed Mobile Disk Cover ­ A Building Block for Mobile Backbone Networks Anand Srinivas, Gil of Mobile Backbone Networks has been recently studied by a few different approaches. An important subproblem a Geometric Disk Cover (GDC) under mobility. While from the context of static nodes and centralized solutions

Zussman, Gil

298

Optimal control of investments for quality of supply improvement in electrical energy distribution networks  

Science Journals Connector (OSTI)

This paper considers the problem of deciding multi-period investments for maintenance and upgrade of electrical energy distribution networks. After describing the network as a constrained hybrid dynamical system, optimal control theory is applied to ... Keywords: Hybrid systems, Investment planning, Mixed-integer programming, Optimal control, Stochastic systems

A. Bemporad; D. Muoz de la Pea; P. Piazzesi

2006-08-01T23:59:59.000Z

299

Distributed detection and fusion in a large wireless sensor network of random size  

Science Journals Connector (OSTI)

For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion rule that uses the total number of detections reported by local sensors as a statistic for hypothesis testing. We assume that the signal power attenuates ... Keywords: decision fusion, deflection coefficient, distributed detection, wireless sensor networks

Ruixin Niu; Pramod K. Varshney

2005-09-01T23:59:59.000Z

300

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

E-Print Network (OSTI)

Xiaoming Lu, Matt Spear, S. Felix Wu and Karl Levitt Department of Computer Science UC Davis, Davis, CANon-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

California at Davis, University of

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


301

Network Flow Based Resource Brokering and Optimization Techniques for Distributed Data Streaming Over Optical  

E-Print Network (OSTI)

data rates than from local disks. Parallel and high performance storage sys- tems can pump data at high locally. Network links can enable access to re- mote storage systems as large network bandwidths reduce the difference between a local and a remote storage system. An alternative to this is to create distributed data

Ullmer, Brygg

302

Distributed Symmetric Function Computation in Noisy Wireless Sensor Networks  

E-Print Network (OSTI)

is to cooperatively provide information to this fusion center so it can compute some function of the sensor. 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

Srikant, Rayadurgam

303

THE POLARITY DISTRIBUTION OF INTRANETWORK AND NETWORK FIELDS  

E-Print Network (OSTI)

Solar Observatory, New Jersey Institute of Technology, U.S.A. (E- mail: zjun obtained at Big Bear Solar Observatory (BBSO) and Huairou Solar Observation Station (HSOS). We found 80 network cells and measured the polarities of intranetwork and network magnetic flux within each cell

304

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

305

Closed-loop real-time control on distributed networks  

E-Print Network (OSTI)

in presence of network delays and packet losses. A single actuator magnetic ball levitation system was used as a test bed to validate the proposed algorithm. A brief study of real-time requirements of the networked control system is presented and a client-server...

Ambike, Ajit Dilip

2004-11-15T23:59:59.000Z

306

U.S. Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) U.S. Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.21 1970's 0.21 0.22 0.23 0.25 0.30 0.40 0.51 0.77 0.90 1.32 1980's 1.85 2.39 2.97 3.15 3.04 2.92 2.52 2.17 2.10 2.01 1990's 1.95 1.87 2.07 1.97 1.70 1.49 2.27 2.29 2.01 1.88 2000's 2.97 3.55 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use U.S. Natural Gas Prices

307

Iowa Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Iowa Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.17 0.16 0.17 1970's 0.17 0.19 0.20 0.22 0.26 0.34 0.52 0.73 0.99 1.17 1980's 1.55 1.89 2.50 2.73 2.71 2.83 2.57 2.75 2.01 2.02 1990's 1.52 1.54 1.71 1.25 1.39 1.40 2.37 2.46 2.06 2.16 2000's 3.17 3.60 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Iowa Natural Gas Prices

308

Hindawi Publishing Corporation International Journal of Distributed Sensor Networks  

E-Print Network (OSTI)

oil refinery sites using industry standard ISA SP100.11a compliant devices operating at 2.4 GHz. 1 Modeling and Deployment Challenges in Oil and Gas Refinery Plants Stefano Savazzi,1 Sergio Guardiano,2 locations of wireless devices used for remote control and monitoring of industrial oil and gas refinery

Savazzi, Stefano

309

Distributed optimization and market analysis of networked systems  

E-Print Network (OSTI)

In the interconnected world of today, large-scale multi-agent networked systems are ubiquitous. This thesis studies two classes of multi-agent systems, where each agent has local information and a local objective function. ...

Wei, Ermin

2014-01-01T23:59:59.000Z

310

Estimating sandstone permeability using network models with pore size distributions  

E-Print Network (OSTI)

in appearance to empirical data. A network model is developed to simulate the pore geometry of a clean, well-sorted sandstone. Pores were modeled as straight capillaries connected in various lattice configurations. Complex lattice configurations produce more... properties and can be closely monitored, allowing for study of their effects on flow in the network lattice. Various parameter variation techniques are introduced in the literature. These techniques induce flow property changes in the model allowing rock...

Mathews, Alan Ronald

1991-01-01T23:59:59.000Z

311

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

SciTech Connect

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.

NONE

1997-02-01T23:59:59.000Z

312

A Control Methodology for DFIG Type Wind Turbines Connected to Distribution Networks  

E-Print Network (OSTI)

A Control Methodology for DFIG Type Wind Turbines Connected to Distribution Networks N. K. Roy, H.roy.h.pota.md.mahmud)@adfa.edu.au Ahstract-This paper proposes a decentralised controller design for doubly-fed induction generators (DFIGs in operating conditions. Index Terms-distributed generation (DG), DFIG, H= norm, linear quadratic Gaussian (LQG

Pota, Himanshu Roy

313

PHYSICAL DESIGN TRADEOFFS IN POWER DISTRIBUTION NETWORKS FOR 3-D ICs  

E-Print Network (OSTI)

PHYSICAL DESIGN TRADEOFFS IN POWER DISTRIBUTION NETWORKS FOR 3-D ICs Ioannis Tsioutsios, Vasilis F the tradeoffs among the different interconnects resources in the design process of 3- D power distribution.tsioutsios, vasileios.pavlidis, giovanni.demicheli}@epfl.ch Abstract--A physical model for the design of the power

De Micheli, Giovanni

314

Sun's Network File System (NFS) One of the first uses of distributed client/server computing was  

E-Print Network (OSTI)

34 Sun's Network File System (NFS) One of the first uses of distributed client/server computing of data across clients. Thus, if 1 #12;2 SUN'S NETWORK FILE SYSTEM (NFS) you access a file on one machine-DUSSEAU #12;SUN'S NETWORK FILE SYSTEM (NFS) 3 even; in the best such case, no network traffic need be gener

Sheridan, Jennifer

315

DETERMINING ALL GAS PROPERTIES IN GALAXY CLUSTERS FROM THE DARK MATTER DISTRIBUTION ALONE  

SciTech Connect

We demonstrate that all properties of the hot X-ray emitting gas in galaxy clusters are completely determined by the underlying dark matter (DM) structure. Apart from the standard conditions of spherical symmetry and hydrostatic equilibrium for the gas, our proof is based on the Jeans equation for the DM and two simple relations which have recently emerged from numerical simulations: the equality of the gas and DM temperatures, and the almost linear relation between the DM velocity anisotropy profile and its density slope. For DM distributions described by the Navarro-Frenk-White or the Sersic profiles, the resulting gas density profile, the gas-to-total-mass ratio profile, and the entropy profile are all in good agreement with X-ray observations. All these profiles are derived using zero free parameters. Our result allows us to predict the X-ray luminosity profile of a cluster in terms of its DM content alone. As a consequence, a new strategy becomes available to constrain the DM morphology in galaxy clusters from X-ray observations. Our results can also be used as a practical tool for creating initial conditions for realistic cosmological structures to be used in numerical simulations.

Frederiksen, Teddy F.; Hansen, Steen H.; Host, Ole [Dark Cosmology Centre, Niels Bohr Institute, University of Copenhagen, Juliane Maries Vej 30, 2100 Copenhagen (Denmark); Roncadelli, Marco [INFN, Sezione di Pavia, Via A. Bassi 6, 27100 Pavia (Italy)

2009-08-01T23:59:59.000Z

316

Apparatus and method for data communication in an energy distribution network  

DOE Patents (OSTI)

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.

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

2014-07-08T23:59:59.000Z

317

Wireless Distributed Architecture for Therapeutic Functional Electrical Stimulation : a technology to design network-based muscle control  

E-Print Network (OSTI)

Wireless Distributed Architecture for Therapeutic Functional Electrical Stimulation : a technology Stimulation architecture based on a wireless network, for therapeutic training of disabled patients applications with external FES, in a clinical context. In a wireless network- based control, the variable delay

Paris-Sud XI, Université de

318

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

E-Print Network (OSTI)

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

Mohsenian-Rad, Hamed

319

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

NLE Websites -- All DOE Office Websites (Extended Search)

Blending Hydrogen into Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key Issues M. W. Melaina, O. Antonia, and M. Penev Technical Report NREL/TP-5600-51995 March 2013 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key Issues M. W. Melaina, O. Antonia, and M. Penev Prepared under Task No. HT12.2010 Technical Report NREL/TP-5600-51995 March 2013 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

320

Complex networks: A mixture of the power-law and Weibull distribution  

E-Print Network (OSTI)

Complex networks have recently aroused a lot of interest. But all the edges are considered the same in almost all these studies. In this paper, we present a simple classification method, which can divide the edges of an undirected unweighted nework into two types: p2c and p2p. The p2c edge represents a hierarchical relationship between two nodes, while the p2p edge represents an equal relationship between two nodes. It is surprising and unexpected that for a wide variety of real-world networks, the p2c degree distribution follows the power law more strictly than the total degree distribution, while the p2p degree distribution follows the Weibull distribution very well. Thus, the total degree distribution can be seen as a mixture of the power-law and Weibull distribution. By comparing two topology models, we think that the origin of the Weibull distribution in complex networks might be a mixture of both preferential and random attachments when networks evolve. Our results provide new insight into complex netwo...

Xu, Ke; Liang, Xiao

2009-01-01T23:59:59.000Z

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


321

Spread-spectrum Cognitive Networking: Distributed Channelization and Routing  

E-Print Network (OSTI)

Mainstream cognitive radio proposals focus on opportunistic access to the licensed spectrum where the primary. Moreover, in cognitive radio networks with multi-hop communication requirements, spectrum occupancy or secondary users. In this way, the secondary users share the licensed spectrum with the primary users

Melodia, Tommaso

322

Network Formation: Neighborhood Structures, Establishment Costs, and Distributed Learning  

E-Print Network (OSTI)

network diameter, small congestion and minimum communication cost, without the need to standardize several issues related to energy conservation, information and computational complexity. Thus, recent desirable properties such as connectivity, bounded-hop diameter and efficiency (i.e., minimum number

Shamma, Jeff S.

323

Tethys: A Distributed Algorithm for Intelligent Aggregation in Sensor Networks  

E-Print Network (OSTI)

energy than a naive, shortest-path tree due to the increased computation energy cost for performing.uiuc.edu, harris@dei.unipd.it, rhk@cs.uiuc.edu Abstract-- One key issue in wireless sensor networks is energy efficiency. Aggregation techniques attempt to minimize the energy expended in communication by processing

Kravets, Robin

324

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

SciTech Connect

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.

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

2012-01-01T23:59:59.000Z

325

A new approach based on ant colony optimization for daily Volt/Var control in distribution networks considering distributed generators  

Science Journals Connector (OSTI)

This paper presents a new approach to daily Volt/Var control in distribution systems with regard to distributed generators (DGs). Due to the small X/R ratio and radial configuration of distribution systems, \\{DGs\\} have much impact on this problem. A cost-based compensation methodology is proposed as a proper signal to encourage owners of \\{DGs\\} in active and reactive power generation. An evolutionary method based on ant colony optimization (ACO) is used to determine the active and reactive power values of DGs, reactive power values of capacitors and tap positions of transformers for the next day. The results indicate that the proposed encouraging factor has improved the performance of distribution networks on a large scale.

Taher Niknam

2008-01-01T23:59:59.000Z

326

Rhode Island Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Rhode Island Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.73 0.33 0.39 1970's 0.33 0.38 0.38 0.42 0.41 0.55 0.75 1.67 2.08 2.06 1980's 2.92 4.74 4.53 4.74 4.05 4.53 3.55 2.87 2.20 4.19 1990's 3.74 3.41 2.94 3.31 2.69 2.21 3.35 3.15 3.00 2.53 2000's 4.67 5.20 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Rhode Island Natural Gas Prices

327

North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.27 0.17 0.17 1970's 0.20 0.20 0.25 0.29 0.31 0.51 0.57 0.75 0.95 1.55 1980's 1.81 2.34 4.11 3.80 3.42 2.77 2.56 2.40 2.49 2.03 1990's 1.61 1.35 1.28 1.84 1.34 1.01 1.70 2.07 1.77 2.12 2000's 3.62 2.14 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use North Dakota Natural Gas Prices

328

South Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) South Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.24 0.22 0.20 1970's 0.20 0.20 0.30 0.33 0.31 0.50 0.55 0.63 0.78 1.20 1980's 1.71 2.20 2.91 3.31 3.32 3.46 2.69 2.17 2.05 1.91 1990's 2.13 1.42 1.22 1.80 1.36 1.03 1.75 2.13 1.68 2.12 2000's 3.76 3.28 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use South Dakota Natural Gas Prices

329

West Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) West Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.34 0.33 1970's 0.32 0.33 0.38 0.39 0.45 0.59 0.69 1.12 1.29 0.85 1980's 2.24 2.62 3.35 3.75 3.71 3.85 3.44 2.85 2.89 2.97 1990's 2.86 2.49 2.93 3.57 3.54 1.87 3.19 2.97 2.69 2.54 2000's 3.70 5.42 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use West Virginia Natural Gas Prices

330

The influence of attached bubbles on potential drop and current distribution at gas-evolving electrodes  

SciTech Connect

A theoretical study is presented of the effects of bubbles attached to the surface of a gas-evolving electrode, with emphasis on their influence on the local current distribution and on the potential drop at the electrode. The mathematical model accounts for the combined influence of (i) ohmic obstruction within the electrolyte, (ii) area masking on the electrode surface, which raises surface overpotential by increasing the effective current density, and (iii) decreased local supersaturation, which lowers the concentration overpotential. The electrolytic transport is described by potential theory, and the dissolved gas is assumed to obey steady-state diffusion within a concentration boundary layer. The coupled field equations are solved numerically using the boundary-element method. The model is applied to hydrogen evolution in potassium-hydroxide solution. For gas evolution in the Tafel kinetic regime, the current distribution is nearly uniform over the unmasked electrode area, and the increase in surface overpotential is the dominant voltage effect. However, outside the Tafel regime (e.g. on cathodes of greater catalytic activity) the current density is strongly enhanced near the bubble-contact zone, and the supersaturation-lowering effect is quite strong, largely offsetting the ohmic and surface-overpotential effects. Proceeding from a set of base conditions, the authors perform a systematic examination of attached-bubble effects, their relative importance, and their dependence on system variables.

Dukovic, J.; Tobias, C.W.

1987-02-01T23:59:59.000Z

331

New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.16 0.15 0.15 1970's 0.17 0.17 0.18 0.22 0.30 0.39 0.41 0.68 0.79 1.36 1980's 1.78 2.25 2.80 3.10 3.24 2.86 2.31 1.66 1.70 1.63 1990's 1.67 1.36 1.31 1.79 1.61 1.13 1.59 1.94 1.89 1.03 2000's 1.80 1.74 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use New Mexico Natural Gas Prices

332

New Jersey Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) New Jersey Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.25 0.21 0.21 1970's 0.22 0.23 0.24 0.25 0.27 0.33 0.41 0.63 0.85 1.29 1980's 1.96 2.75 3.07 3.37 3.68 3.40 2.94 2.53 2.73 2.74 1990's 2.62 2.48 2.62 2.93 2.66 2.59 3.15 3.11 2.93 1.79 2000's 4.00 4.74 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use New Jersey Natural Gas Prices

333

Probability distribution functions of gas in M31 and M51  

E-Print Network (OSTI)

We present probability distribution functions (PDFs) of the surface densities of ionized and neutral gas in the nearby spiral galaxies M31 and M51, as well as of dust emission and extinction Av in M31. The PDFs are close to lognormal and those for HI and Av in M31 are nearly identical. However, the PDFs for H2 are wider than the HI PDFs and the M51 PDFs have larger dispersions than those for M31. We use a simple model to determine how the PDFs are changed by variations in the line-of-sight (LOS) pathlength L through the gas, telescope resolution and the volume filling factor of the gas, f_v. In each of these cases the dispersion sigma of the lognormal PDF depends on the variable with a negative power law. We also derive PDFs of mean LOS volume densities of gas components in M31 and M51. Combining these with the volume density PDFs for different components of the ISM in the Milky Way (MW), we find that sigma decreases with increasing length L with an exponent of -0.76 +/- 0.06, which is steeper than expected. ...

Berkhuijsen, Elly M

2015-01-01T23:59:59.000Z

334

Modeling of ultrasound transmission through a solid-liquid interface comprising a network of gas pockets  

SciTech Connect

Ultrasonic inspection of sodium-cooled fast reactor requires a good acoustic coupling between the transducer and the liquid sodium. Ultrasonic transmission through a solid surface in contact with liquid sodium can be complex due to the presence of microscopic gas pockets entrapped by the surface roughness. Experiments are run using substrates with controlled roughness consisting of a network of holes and a modeling approach is then developed. In this model, a gas pocket stiffness at a partially solid-liquid interface is defined. This stiffness is then used to calculate the transmission coefficient of ultrasound at the entire interface. The gas pocket stiffness has a static, as well as an inertial component, which depends on the ultrasonic frequency and the radiative mass.

Paumel, K.; Baque, F. [CEA, DEN, Nuclear Technology Department, F-13108 Saint-Paul-lez-Durance (France); Moysan, J.; Corneloup, G. [Laboratoire de Caracterisation Non Destructive, Universite de la Mediterranee, IUT Aix-en-Provence, Avenue Gaston Berger, 13625 Aix-en-Provence (France); Chatain, D. [CNRS, Aix-Marseille Universite, CINAM-UPR3118, Campus de Luminy, Case 913, 13288 Marseille cedex 09 (France)

2011-08-15T23:59:59.000Z

335

Demand Matrix for Information, Measuring, and Control System for the Diagnostics and Safety of Gazprom Gas Distribution Stations  

Science Journals Connector (OSTI)

We consider the salient aspects of unification of the diagnostic parameters necessary for optimally managing the development of the OAO Gazprom system of gas distribution stations now functioning or being overhau...

Yu. I. Esin; V. M. Klishchevskaya; N. G. Petrov; G. A. Sarychev

2004-05-01T23:59:59.000Z

336

Humidity-independent portable air-hydrogen fuel cells with slotted silicon based gas-distributing plates  

Science Journals Connector (OSTI)

We have studied the characteristics of small-scale air-hydrogen fuel cells (FCs) operating in a free-breathing cathode regime. The cells are provided with a new gas-distributing element on the cathode side, wh...

E. V. Astrova; D. A. Andronikov; M. V. Gorokhov

2010-06-01T23:59:59.000Z

337

An Energy-Aware Simulation Model and Transaction Protocol for Dynamic Workload Distribution in Mobile Ad Hoc Networks1  

E-Print Network (OSTI)

An Energy-Aware Simulation Model and Transaction Protocol for Dynamic Workload Distribution California {tari, prong, pedram}@usc.edu Abstract This paper introduces a network simulation model

Pedram, Massoud

338

Systematic Studies of the Gas Humidification Effects on Spatial PEMFC Performance Distributions  

SciTech Connect

The overall current density that is measured in a proton exchange membrane fuel cell (PEMFC) represents the average of the local reaction rates. The overall and local PEMFC performances are determined by several primary loss mechanisms, namely activation, ohmic, and mass transfer. Spatial performance and loss variabilities are significant and depend on the cell design and operating conditions. A segmented cell system was used to quantify different loss distributions along the gas channel to understand the effects of gas humidification. A reduction in the reactant stream humidification decreased cell performance and resulted in non-uniform distributions of overpotentials and performance along the flow field. Activation and ohmic overpotentials increased with a relative humidity decrease due to insufficient membrane and catalyst layer hydration. The relative humidity of the cathode had a strong impact on the mass transfer overpotential due to a lower oxygen permeability through the dry Nafion film covering the catalyst surface. The mass transfer loss distribution was non-uniform, and the mass transfer overpotential increased for the outlet segments due to the oxygen consumption at the inlet segments, which reduced the oxygen concentration downstream, and a progressive water accumulation from upstream segments. Electrochemical impedance spectroscopy (EIS) and an equivalent electric circuit (EEC) facilitated the analysis and interpretation of the segmented cell data.

Reshetenko, T. V.; Bender, G.; Bethune, K.; Rocheleau, R.

2012-05-01T23:59:59.000Z

339

Distributed Audit Secure Data Aggregation for Wireless Sensor Networks  

Science Journals Connector (OSTI)

Data aggregation can reduce the communication overhead and energy expenditure of sensor nodes, as well as ... injection attacks. This paper proposes a distributed audit secure data aggregation protocol. The aggre...

Zhengdao Zhang; Zhiping Zhou

2013-01-01T23:59:59.000Z

340

Distributed Grooming in Multi-Domain IP/MPLS-DWDM Networks  

SciTech Connect

This paper studies distributed multi-domain, multilayer provisioning (grooming) in IP/MPLS-DWDM networks. Although many multi-domain studies have emerged over the years, these have primarily considered 'homogeneous' network layers. Meanwhile, most grooming studies have assumed idealized settings with 'global' link state across all layers. Hence there is a critical need to develop practical distributed grooming schemes for real-world networks consisting of multiple domains and technology layers. Along these lines, a detailed hierarchical framework is proposed to implement inter-layer routing, distributed grooming, and setup signaling. The performance of this solution is analyzed in detail using simulation studies and future work directions are also high-lighted.

Liu, Qing [ORNL

2009-12-01T23:59:59.000Z

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


341

Study of distributed Fair Scheduling in wireless local area networks  

E-Print Network (OSTI)

CHAPTER Page I INTRODUCTION . II BACKGROUND A. IEEE 802. 11 Distributed Co-ordination Function . B. Distributed Fair Scheduling Protocol C. Motivation . D. Related Work III SIMULATION DETAILS A. Simulation Scenario and Parameters . B. Collision... Resolution in 802. 11 and DFS C. Performance of DFS IV FAIRNESS IN DFS A. Fairness in 802. 11 B. Contention Behavior of 802. 11 and DFS C. Analysis of Collision Resolution in DFS . D. Comparison of DFS with GPS . E. Short-term Fairness in DFS V...

Gupta, Seema

2012-06-07T23:59:59.000Z

342

Fault detection and isolation of a dual spool gas turbine engine using dynamic neural networks and multiple model approach  

Science Journals Connector (OSTI)

In this paper, a fault detection and isolation (FDI) scheme for an aircraft jet engine is developed. The proposed FDI system is based on the multiple model approach and utilizes dynamic neural networks (DNNs) to accomplish this goal. Towards this end, ... Keywords: Bank of detection and isolation filters, Dual spool gas turbine engine, Dynamic neural networks, Fault diagnosis, Multiple model scheme

Z. N. Sadough Vanini; K. Khorasani; N. Meskin

2014-02-01T23:59:59.000Z

343

The National Energy Modeling System: An Overview 2000 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

natural gas transmission and distribution module (NGTDM) of NEMS represents the natural gas market and determines regional market-clearing prices for natural gas supplies and for end-use consumption, given the information passed from other NEMS modules. A transmission and distribution network (Figure 15), composed of nodes and arcs, is used to simulate the interregional flow and pricing of gas in the contiguous United States and Canada in both the peak (December through March) and offpeak (April through November) period. This network is a simplified representation of the physical natural gas pipeline system and establishes the possible interregional flows and associated prices as gas moves from supply sources to end users. natural gas transmission and distribution module (NGTDM) of NEMS represents the natural gas market and determines regional market-clearing prices for natural gas supplies and for end-use consumption, given the information passed from other NEMS modules. A transmission and distribution network (Figure 15), composed of nodes and arcs, is used to simulate the interregional flow and pricing of gas in the contiguous United States and Canada in both the peak (December through March) and offpeak (April through November) period. This network is a simplified representation of the physical natural gas pipeline system and establishes the possible interregional flows and associated prices as gas moves from supply sources to end users. Figure 15. Natural Gas Transmission and Distribution Module Network

344

Cost reduction of distribution network protection in presence of distributed generation using optimized fault current limiter allocation  

Science Journals Connector (OSTI)

Using Solid State Fault Current Limiters (SSFCLs) has been proposed as a potential cost-efficient candidate to minimize the effect of exposing Distributed Generation (DG) to the distribution system. Genetic Algorithm (GA) is employed to find the optimum number, location and size of \\{FCLs\\} to be used in the network. The numerical and simulation results show the efficiency of proposed GA-based FCL allocation and sizing method in terms of minimizing the cost of distribution protection system. The prices of \\{FCLs\\} are estimated using real market prices and simulations are performed in four cases assuming prices more than the estimated one, less than estimated price and equal to the real estimated cost for FCL. Numerical results show that FCL price highly affects the optimum choices for \\{FCLs\\} and the price imposed by using FCLs.

Sayyed Ali Akbar Shahriari; Ali Yazdian Varjani; Mahmood Reza Haghifam

2012-01-01T23:59:59.000Z

345

Distributed Bayesian Algorithms for Fault-Tolerant Event Region Detection in Wireless Sensor Networks  

E-Print Network (OSTI)

We propose a distributed solution for a canonical task in wireless sensor networks---the binary detection of interesting environmental events. We explicitly take into account the possibility of sensor measurement faults and develop a distributed Bayesian algorithm for detecting and correcting such faults. Theoretical analysis and simulation results show that 85-95 percent of faults can be corrected using this algorithm, even when as many as 10 percent of the nodes are faulty.

Bhaskar Krishnamachari; Sitharama Iyengar

2004-01-01T23:59:59.000Z

346

Galaxy-cluster gas-density distributions of the Representative XMM-Newton Cluster Structure Survey (REXCESS)  

E-Print Network (OSTI)

We present a study of the structural and scaling properties of the gas distributions in the intracluster medium (ICM) of 31 nearby (z 3 keV scale self-similarly, with no temperature dependence of gas-density normalisation. We find some evidence of a correlation between dynamical state and outer gas density slope, and between dynamical state and both central gas normalisation and cooling time. We find no evidence of a significant bimodality in the distributions of central density, density gradient, or cooling time. Finally, we present the gas mass-temperature relation for the REXCESS sample, which is consistent with the expectation of self-similar scaling modified by the presence of an entropy excess in the inner regions of the cluster, and has a logarithmic intrinsic scatter of ~10%.

J. H. Croston; G. W. Pratt; H. Boehringer; M. Arnaud; E. Pointecouteau; T. J. Ponman; A. J. R. Sanderson; R. F. Temple; R. G. Bower; M. Donahue

2008-01-22T23:59:59.000Z

347

A Distributed Protocol for the Bounded-Hops Converge-cast in Ad-Hoc Networks0  

E-Print Network (OSTI)

A Distributed Protocol for the Bounded-Hops Converge-cast in Ad-Hoc Networks0 Andrea E. F. Clementi (centralized) heuristics. 1 Introduction An ad-hoc (wireless) network consists of a set of radio stations connected by wireless links. In an ad hoc network, a transmission range is assigned to every station

Rossi, Gianluca

348

An Architecture for Distributed Real-Time Passive Network Measurement Tilman Wolf, Ramaswamy Ramaswamy, Siddhartha Bunga, and Ning Yang  

E-Print Network (OSTI)

An Architecture for Distributed Real-Time Passive Network Measurement Tilman Wolf, Ramaswamy network information be- tween several measurement nodes placed at different loca- tions in the network-processing them on the measurement node itself. Real-time queries are implemented by breaking them down

Shenoy, Prashant

349

Distributed voltage control strategy for LV networks with inverter-interfaced generators  

Science Journals Connector (OSTI)

Abstract Low voltage distribution networks are characterized by an ever growing diffusion of single and three phase distributed generators whose unregulated operation may deplete the power quality levels, in particular as regard voltage profiles and unbalances. This issue is at present under discussion by several national and international standardization bodies and the general trend is to require, for the new connections of generators to medium and low voltage grids, their participation to the reactive power network management. In this paper a novel strategy proposes to control the network voltage unbalance suitably for coordinating single and three-phase inverter interfaced embedded generators, concurrently with a local volt/var regulation action as foreseen by the new grid connection requirements. Simulations conducted on case study network representing a typical Italian 4-wire LV distribution system under different load/generation conditions, demonstrate that the coordinated action of single-phase and three-phase inverters may considerably reduce the degree of unbalance thus improving the network power quality levels.

R. Caldon; M. Coppo; R. Turri

2014-01-01T23:59:59.000Z

350

Microsoft Word - The Essential Role of New Network Services for High Performance Distributed Computing - PARENG.CivilComp.2011.  

NLE Websites -- All DOE Office Websites (Extended Search)

International Conference on Parallel, Distributed, Grid and International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering 12-15 April 2011, Ajaccio - Corsica - France In "Trends in Parallel, Distributed, Grid and Cloud Computing for Engineering," Edited by: P. Iványi, B.H.V. Topping, Civil-Comp Press. Network Services for High Performance Distributed Computing and Data Management W. E. Johnston, C. Guok, J. Metzger, and B. Tierney ESnet and Lawrence Berkeley National Laboratory, Berkeley California, U.S.A Keywords: high performance distributed computing and data management, high throughput networks, network services, science use of networks Much of modern science is dependent on high performance distributed computing and data handling. This distributed infrastructure, in turn, depends on

351

Clock Distribution Network Optimization by Sequential Quadratic Programing  

E-Print Network (OSTI)

., i.e., L(x; ) = xTD ( 2): (2.4) Denote by rxL(x; ) the gradient vector of the Lagrangian function, i.e., rxL(x; ) = D + rx 2: (2.5) For a speci c setup of all mesh wire widths in the clock network, the gradient of sink delay variance, rx 2, can... and the constraints are satis ed at the optimal point, i.e., for our problem, D + rx 2 = 0; (2.6) 2 0: (2.7) One common way to solve an equation as Eqn. 2.6. is Newton?s method. Basi- cally, Newton?s method searches for the root of an equation f(x) = 0...

Mekala, Venkata

2010-07-14T23:59:59.000Z

352

Impact of SCIG and DFIG Type Wind Turbine on the Stability of Distribution Networks: static and dynamic  

E-Print Network (OSTI)

Impact of SCIG and DFIG Type Wind Turbine on the Stability of Distribution Networks: static fed induction generator (DFIG) type wind turbine in distribution networks. The analysis is carried out and DFIG type wind turbines have significant impact on the static voltage stability, power loss

Pota, Himanshu Roy

353

Coalitional Games for Distributed Collaborative Spectrum Sensing in Cognitive Radio Networks  

E-Print Network (OSTI)

Coalitional Games for Distributed Collaborative Spectrum Sensing in Cognitive Radio Networks Walid for large periods of time [1]. In order to efficiently exploit these spectrum holes, cognitive radio (CR, University of Houston, Houston, USA, Email:hanzhu22@gmail.com 3 Alcatel-Lucent Chair in Flexible Radio, SUP

Paris-Sud XI, Université de

354

Tackling the Photovoltaic Integration Challenge in the Distribution Network with Deferrable Load  

E-Print Network (OSTI)

.g., water heater) as well as ESS (e.g., battery systems) can be used to reduce the reverse energy flowTackling the Photovoltaic Integration Challenge in the Distribution Network with Deferrable Load systems (ESSs) in households. When the energy generated by PV units is greater than the aggregate load

Wong, Vincent

355

Model for energy efficiency in radio over fiber distributed indoor antenna Wi-Fi network  

E-Print Network (OSTI)

Model for energy efficiency in radio over fiber distributed indoor antenna Wi-Fi network Yves Josse communications in indoor environments. In this paper, the power consumption and energy efficiency of a DAS using for different transmission configurations, yielding a distance- dependent energy efficiency model. In a second

Paris-Sud XI, Université de

356

FUZZY DIFFUSION FOR DISTRIBUTED SENSOR NETWORKS Manikanden Balakrishnan and Eric E. Johnson  

E-Print Network (OSTI)

applications, a renewable energy source is pro- vided (e.g., a solar panel) but the power available is strictly New Mexico State University {mabalakr, ejohnson}@nmsu.edu ABSTRACT Distributed Sensor Networks (DSNs operate under severe energy constraints and are largely characterized by short- range multi-hop radio

Johnson, Eric E.

357

Robotic Local Area Networks with Fault-Tolerant Distributed Layers for Real-Time Control  

E-Print Network (OSTI)

vagaries. The proposed software layers should conform to the projected capabilities of radiation, and must guarantee safety, reliability, stability, and effectiveness. As a consequence, robotic networks will depend on distributed software layers that are tolerant to signal losses and adaptive to communication

Liberatore, Vincenzo

358

Sensitivity Evaluation of Global Resonant H-Tree Clock Distribution Networks  

E-Print Network (OSTI)

. This approach lowers the power consumption, since the energy resonates between the electric and magnetic fieldsSensitivity Evaluation of Global Resonant H-Tree Clock Distribution Networks Jonathan Rosenfeld and Eby G. Friedman Department of Electrical and Computer Engineering University of Rochester Rochester

Friedman, Eby G.

359

Voltage Oscillations in Power Distribution Networks in the Presence of DFIGs and Induction Motor Loads  

E-Print Network (OSTI)

energy sources, wind power has proven to be one of the most successful sources offering relatively high-speed operation of wind tur- bines with frequency converters offers certain advantages [2]: mechanical stress penetration of wind power in traditional passive distribution networks requires detailed analysis to ensure

Pota, Himanshu Roy

360

Joint optimization algorithm for network reconfiguration and reactive power control of wind farm in distribution system  

Science Journals Connector (OSTI)

In recent years, the number of small size wind farms used as DG sources located within the distribution system are rapidly increasing. Wind farm made up with doubly fed induction generators (DFIG) is proposed in this paper as the continuous reactive ... Keywords: DFIG wind turbine, network reconfiguration, particle swarm optimization, reactive power control, wind farm

Jingjing Zhao; Xin Li; Jiping Lu; Congli Zhang

2009-02-01T23:59:59.000Z

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


361

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

E-Print Network (OSTI)

Outage Detection in Power Distribution Networks with Optimally-Deployed Power Flow Sensors Yue Zhao deployed real-time power flow sensors and that of load estimates via Advanced Metering Infrastructure (AMI within each subtree only the sensors at its root and on its boundary are used. Outage detection

Zhao, Yue

362

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

363

Distributed target tracking and boundary estimation in wireless sensor networks  

Science Journals Connector (OSTI)

We study the problem of target tracking and boundary detection of a substance diffusing from a mobile source using a wireless sensor network. We present a Prediction-based Mobility Adaptive Tracking (P-MAT algorithm to study the tradeoff among energy, accuracy of tracking, coverage and boundary estimation. P-MAT minimises overall energy consumption by incorporating adaptivity in two forms: (1) the size of the active region and (2) modulation of the sampling rate. It uses adaptive Kalman filtering to predict the target's future location and velocity. The predicted target location determines a set of sensors surrounding that location to be activated known as the active region. Sensors in the active region are responsible for target tracking and boundary detection. In this article, we include dynamic boundary estimation. Boundary estimation in many situations can be performed efficiently using a subset of nodes within the vicinity of the phenomenon. This subset of nodes in our algorithm is the set of nodes in the active region. As the substance spreads, sensors in the active region determine if additional sensors outside of the active region are needed to enclose the boundary. Results from simulation experiments show that P-MAT can perform both tracking and boundary.

Jennifer Yick; Biswanath Mukherjee; Dipak Ghosal

2008-01-01T23:59:59.000Z

364

The ATLAS 3D project - XVI. Physical parameters and spectral line energy distributions of the molecular gas in gas-rich early-type galaxies  

E-Print Network (OSTI)

[Abridged] We present a detailed study of the physical properties of the molecular gas in a sample of 18 molecular gas-rich early-type galaxies (ETGs) from the ATLAS$ 3D sample. Our goal is to better understand the star formation processes occurring in those galaxies, starting here with the dense star-forming gas. We use existing integrated $^{12}$CO(1-0, 2-1), $^{13}$CO(1-0, 2-1), HCN(1-0) and HCO$^{+}$(1-0) observations and present new $^{12}$CO(3-2) single-dish data. From these, we derive for the first time the average kinetic temperature, H$_{2}$ volume density and column density of the emitting gas, this using a non-LTE theoretical model. Since the CO lines trace different physical conditions than of those the HCN and HCO$^{+}$ lines, the two sets of lines are treated separately. We also compare for the first time the predicted CO spectral line energy distributions (SLEDs) and gas properties of our molecular gas-rich ETGs with those of a sample of nearby well-studied disc galaxies. The gas excitation con...

Bayet, Estelle; Davis, Timothy A; Young, Lisa M; Crocker, Alison F; Alatalo, Katherine; Blitz, Leo; Bois, Maxime; Bournaud, Frdric; Cappellari, Michele; Davies, Roger L; de Zeeuw, P T; Duc, Pierre-Alain; Emsellem, Eric; Khochfar, Sadegh; Krajnovi?, Davor; Kuntschner, Harald; McDermid, Richard M; Morganti, Raffaella; Naab, Thorsten; Oosterloo, Tom; Sarzi, Marc; Scott, Nicholas; Serra, Paolo; Weijmans, Anne-Marie

2012-01-01T23:59:59.000Z

365

A Model for Collaboration Networks Giving Rise to a Power Law Distribution with an Exponential Cutoff  

E-Print Network (OSTI)

Recently several authors have proposed stochastic evolutionary models for the growth of complex networks that give rise to power-law distributions. These models are based on the notion of preferential attachment leading to the ``rich get richer'' phenomenon. Despite the generality of the proposed stochastic models, there are still some unexplained phenomena, which may arise due to the limited size of networks such as protein, e-mail, actor and collaboration networks. Such networks may in fact exhibit an exponential cutoff in the power-law scaling, although this cutoff may only be observable in the tail of the distribution for extremely large networks. We propose a modification of the basic stochastic evolutionary model, so that after a node is chosen preferentially, say according to the number of its inlinks, there is a small probability that this node will become inactive. We show that as a result of this modification, by viewing the stochastic process in terms of an urn transfer model, we obtain a power-law...

Fenner, T; Loizou, G; Fenner, Trevor; Levene, Mark; Loizou, George

2005-01-01T23:59:59.000Z

366

Resilience-Based design of Natural Gas Pipelines G. P. Cimellaro, O. Villa  

E-Print Network (OSTI)

Resilience-Based design of Natural Gas Pipelines G. P. Cimellaro, O. Villa Department of Structural systems. No models are available in literature to measure the performance of natural gas network of natural or manmade hazard which might lead to the disruption of the system. The gas distribution network

Bruneau, Michel

367

Non-dipole effects in photoelectron angular distributions for rare gas atoms  

SciTech Connect

The authors present a theoretical study of O(ka) and O(k{sup 2}a{sup 2}) corrections to the dipole approximation in photoionization of rare gas atoms, where k is the magnitude of the photon wave vector and a is the radius of the ionized subshell. In the dipole approximation, the photoelectron angular distribution is characterized by the single parameter {Beta}. The O(ka) corrections are characterized by two parameters {gamma} and {delta}, and the O(k{sup 2}a{sup 2}) corrections are characterized by three parameters {lambda}, {mu}, and {nu}, constrained by the relation {lambda} + {mu} + {nu} = 0 and a correction {Delta}{Beta} to the dipole parameter {Beta}. Formulas are given for the non-dipole parameters in terms of reduced matrix elements of electric and magnetic multipole operators. Tables and graphs of the seven angular distribution parameters, calculated in the relativistic independent-particle approximation (IPA), are given for electron energies ranging from 20 to 5,000 eV for all 41 subshells of the rare gas atoms He,NE,Ar,Kr, and Xe. Tables and graphs of the O(ka) parameters are also given in the energy range 2--60 eV for the n = 3 and 4 shells of Kr, and for the n = 4 and 5 shells of Xe, where interesting non-dipole effects are found. Comparisons of the IPA calculations with correlated relativistic random-phase approximation calculations are made for selected subshells of Ar and Kr, illustrating the influence of correlation on the non-dipole parameters.

Derevianko, A.; Johnson, W.R.; Cheng, K.T.

1999-11-01T23:59:59.000Z

368

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

E-Print Network (OSTI)

50% of daily production H 2 gas storage costs (separate fromNatural gas is currently the lowest cost hydrogen productioncosts are calculated for each station. On-site natural gas steam reformers The hydrogen production

Yang, Christopher; Ogden, Joan M

2005-01-01T23:59:59.000Z

369

Quasi-parallel network applications in real-time distribution management system  

Science Journals Connector (OSTI)

In modern distribution management systems (DMSs), the real-time calculation of the network's state plays an important role for the operation of the network. High sophisticated algorithms for the estimation and calculation of the system's state like distribution system state estimation (DSSE), distribution system power and short circuit calculations (DSPF and SCC), voltage var control (VVC) and others must operate in a real-time environment, supplying subsequently running functions with reliable input data. Closed-loop requirements also increase the requirements concerning performance, availability and robustness. In this paper, an implementation of the sequence control of different DMS-network applications is presented. This proposed real-time scheduler takes advantage of CPU-cores inside of a modern computer system: by passing subtasks to different CPU-cores, the overall performance is significantly increased. The scheduling process is analysed in detail taking the nature of a distribution system into consideration. The presentation is finalised with a report about the gain of performance for the state estimation process.

Izudin Dzafic; Hans-Theo Neisius

2012-01-01T23:59:59.000Z

370

Comparisons of pore size distribution: A case from the Western Australian gas shale formations  

Science Journals Connector (OSTI)

Abstract Pore structure of shale samples from Triassic Kockatea and Permian Carynginia formations in the Northern Perth Basin, Western Australia is characterized. Transport properties of a porous media are regulated by the topology and geometry of inter-connected pore spaces. Comparisons of three laboratory experiments are conducted on the same source of samples to assess such micro-, meso- and macro-porosity: Mercury Injection Capillary Pressure (MICP), low field Nuclear Magnetic Resonance (NMR) and nitrogen adsorption (N2). High resolution FIB/SEM image analysis is used to further support the experimental pore structure interpretations at sub-micron scale. A dominating pore throat radius is found to be around 6 nm within a mesopore range based on MICP, with a common porosity around 3%. This relatively fast experiment offers the advantage to be reliable on well chips or cuttings up the pore throat sizes >2nm. However, nitrogen adsorption method is capable to record pore sizes below 2nm through the determination of the total pore volume from the quantity of vapour adsorbed at relative pressure. But the macro-porosity and part of the meso-porosity is damaged or even destroyed during the sample preparation. BET specific surface area results usually show a narrow range of values from 5 to 10m2/g. Inconsistency was found in the pore size classification between MICP and N2 measurements mostly due to their individual lower- and upper-end pore size resolution limits. The water filled pores disclosed from NMR T2 relaxation time were on average 30% larger than MICP tests. Evidence of artificial cracks generated from the water interactions with clays after re-saturation experiments could explain such porosity over-estimation. The computed pore body to pore throat ratio extracted from the TimurCoates NMR model, calibrated against gas permeability experiments, revealed that such pore geometry directly control the permeability while the porosity and pore size distribution remain similar between different shale gas formations and/or within the same formation. The combination of pore size distribution obtained from MICP, N2 and NMR seems appropriate to fully cover the range of pore size from shale gas and overcome the individual method limits.

Adnan Al Hinai; Reza Rezaee; Lionel Esteban; Mehdi Labani

2014-01-01T23:59:59.000Z

371

Assumptions to the Annual Energy Outlook 2002 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market

372

Assumptions to the Annual Energy Outlook 2001 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market

373

Energy Distribution of EEG Signals: EEG Signal Wavelet-Neural Network Classifier  

E-Print Network (OSTI)

AbstractIn this paper, a wavelet-based neural network (WNN) classifier for recognizing EEG signals is implemented and tested under three sets EEG signals (healthy subjects, patients with epilepsy and patients with epileptic syndrome during the seizure). First, the Discrete Wavelet Transform (DWT) with the Multi-Resolution Analysis (MRA) is applied to decompose EEG signal at resolution levels of the components of the EEG signal (?, ?, ?, ? and ?) and the Parsevals theorem are employed to extract the percentage distribution of energy features of the EEG signal at different resolution levels. Second, the neural network (NN) classifies these extracted features to identify the EEGs type according to the percentage distribution of energy features. The performance of the proposed algorithm has been evaluated using in total 300 EEG signals. The results showed that the proposed classifier has the ability of recognizing and classifying EEG signals efficiently.

I. Omerhodzic; S. Avdakovic; A. Nuhanovic; K. Dizdarevic

374

Optimum design for BB84 quantum key distribution in tree-type passive optical networks  

E-Print Network (OSTI)

We show that there is a tradeoff between the useful key distribution bit rate and the total length of deployed fiber in tree-type passive optical networks for BB84 quantum key distribution applications. A two stage splitting architecture where one splitting is carried in the central office and a second in the outside plant and figure of merit to account for the tradeoff are proposed. We find that there is an optimum solution for the splitting ratios of both stages in the case of Photon Number Splitting (PNS) attacks and Decoy State transmission. We then analyze the effects of the different relevant physical parameters of the PON on the optimum solution.

Jose Capmany; Carlos R. Fernandez-Pousa

2011-03-24T23:59:59.000Z

375

Economical load distribution in power networks that include hybrid solar power plants  

Science Journals Connector (OSTI)

With respect to the growing share of renewable resources in secure provision of electrical energy, proper utilization of hybrid power plants is of great importance. Therefore, an optimal production planning for operation of these power plants is evidently necessary. Generally, economical load distribution refers to determination of an optimal point in production that fully provides for the total network load. In other words, the economical load distribution refers to cost minimization of the produced electrical power for satisfying the total network demand, with consideration of the actual constraints in the power system. To serve this purpose, several methods have been in use, but with the entry of power plants that use renewable energy resources, necessary steps should be taken to ensure their optimal use. However, economical optimization and sufficient reliability in serving concurrent demands are the two-fold objectives of the electrical power system and need to be considered simultaneously. Therefore, in analyzing the share of renewable energy resources in the total electrical power network, both their economical advantages and their reliable level of production should be considered. Presently, many countries show interest in using hybrid solar power plants and fossil fuel power plants. In this research, the problem of augmenting power networks with solar power plants and finding their optimal production point is dealt with. Some models for the production cost functions of these power plants are presented and discussed.

Mohammad Taghi Ameli; Saeid Moslehpour; Mehdi Shamlo

2008-01-01T23:59:59.000Z

376

Comment on Maximal planar networks with large clustering coefficient and power-law degree distribution  

Science Journals Connector (OSTI)

This Comment corrects the error which appeared in the calculation of the degree distribution of random Apollonian networks [T. Zhou, G. Yan, and B. H. Wang, Phys. Rev. E. 71, 046141 (2005)]. As a result, the expression of P(k), which gives the probability that a randomly selected node has exactly k edges, has the form P(k)?1?[k(k+1)(k+2)].

Zhi-Xi Wu; Xin-Jian Xu; Ying-Hai Wang

2006-05-10T23:59:59.000Z

377

ETM (Distribution Network Automation on 10 kV cable line stations) (Smart  

Open Energy Info (EERE)

ETM (Distribution Network Automation on 10 kV cable line stations) (Smart 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 line stations) Country Hungary Headquarters Location Budapest, Hungary Coordinates 47.498405°, 19.040758° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":47.498405,"lon":19.040758,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

378

Studies of parallelism in distribution networks served by different-source substations  

Science Journals Connector (OSTI)

Despite the fact that the distribution systems usually operate radially, there is the possibility of changing the topology by opening or closing the switching equipment [1]. This change can occur in two situations. In the first one, when one tries to optimize the configuration of the electric network, aiming to achieve lower voltage drop and loss indices, as well an increased reliability. In the second one, when one needs to transfer load from a feeder to another, as result of some contingency or a planned disconnection. In both situations, one has to take into account that multiple switchings in the networks can cause some disconnections for customers, during a short period of time, especially when the feeders are served by different-source substations. These interruptions cause undesirable energy continuity levels for customers, who are more demanding in relation to the electric power supply quality. This context has motivated this paper, whose proposal is the development of a methodology to analyze the technical feasibility of parallelisms in distribution networks by using the Alternative Transient Program (ATP), thus avoiding disconnections for customers. As a result, case studies in AES Sul's concession area, power distribution utility, will be presented.

D.P. Bernardon; L. Comassetto; F.D. Veiga; L.N. Canha

2008-01-01T23:59:59.000Z

379

What Damped Ly-alpha Systems Tell Us About the Radial Distribution of Cold Gas at High Redshift  

E-Print Network (OSTI)

We investigate the properties of damped Lyman-alpha systems (DLAS) in semi-analytic models, focusing on whether the models can reproduce the kinematic properties of low-ionization metal lines described by Prochaska & Wolfe (1997b, 1998). We explore a variety of approaches for modelling the radial distribution of the cold neutral gas associated with the galaxies in our models, and find that our results are very sensitive to this ingredient. If we use an approach based on Fall & Efstathiou (1980), in which the sizes of the discs are determined by conservation of angular momentum, we find that the majority of the DLAS correspond to a single galactic disc. These models generically fail to reproduce the observed distribution of velocity widths. In alternative models in which the gas discs are considerably more extended, a significant fraction of DLAS arise from lines of sight intersecting multiple gas discs in a common halo. These models produce kinematics that fit the observational data, and also seem to agree well with the results of recent hydrodynamical simulations. Thus we conclude that Cold Dark Matter based models of galaxy formation can be reconciled with the kinematic data, but only at the expense of the standard assumption that DLAS are produced by rotationally supported gas discs whose sizes are determined by conservation of angular momentum. We suggest that the distribution of cold gas at high redshift may be dominated by another process, such as tidal streaming due to mergers.

Ariyeh H. Maller; Jason X. Prochaska; Rachel S. Somerville; Joel R. Primack

2000-02-24T23:59:59.000Z

380

EIA - Assumptions to the Annual Energy Outlook 2008 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2008 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

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


381

EIA - Assumptions to the Annual Energy Outlook 2009 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2009 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

382

Assumptions to the Annual Energy Outlook - Natural Gas Transmission and  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumption to the Annual Energy Outlook Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

383

E-Print Network 3.0 - affecting natural gas Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

natural gas Search Powered by Explorit Topic List Advanced Search Sample search results for: affecting natural gas Page: << < 1 2 3 4 5 > >> 1 International Conference on Gas...

384

E-Print Network 3.0 - assisting gas optimization Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

OF NATURAL GAS: ANALYSIS AND POLICY OPTIONS Summary: -organized natural gas industry that markets natural gas and provides information and assistance for fuel conversions... 1...

385

E-Print Network 3.0 - annual landfill gas Sample Search Results  

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gas emissions and potential aqueous... Transfer Stations (MTS); Life Cycle Assessment (LCA); Landfill Gas (LFG): Geographic Wormation Systems (GIS... . Landfills generate gas...

386

Modeling the Power Distribution Network of a Virtual City and Studying the Impact of Fire on the Electrical Infrastructure  

E-Print Network (OSTI)

Simulink, based on the GIS layout of the power distribution network of Micropolis. It also proposes a method of quantifying the damage caused by fire to the electrical network by means of a parameter called the Load Loss Damage Index (LLDI). Finally...

Bagchi, Arijit

2009-11-17T23:59:59.000Z

387

Gray theory based energy saving potential evaluation and planning for distribution networks  

Science Journals Connector (OSTI)

Abstract A systematic method is proposed to quantitatively evaluate the energy saving potential (ESP) combining a microscopic analysis and the macro statistics of the distribution network. An energy saving modification (ESM) investment planning model, constrained by the funds available, is developed based on the ESP evaluation method. In the model, the modification investment amount of each measure is set as a variable, and the core parameters including gray correlation coefficient, index inferior degree and loss reduction efficiency are obtained from gray correlation analysis. Given the investment constraints and weighting factors, the problem of energy saving investment allocation of the whole distribution system is solved within the fund constraint. An example shows that the proposed method is ideal for quantifying the loss reduction space and modification demand of distribution systems while improving the efficiency of investment for ESM.

Yong-Jun Zhang; Xi-Tian Zhang; Qin-Hao Li; Li Ran; Ze-Xiang Cai

2014-01-01T23:59:59.000Z

388

A majorization-minimization approach to design of power distribution networks  

SciTech Connect

We consider optimization approaches to design cost-effective electrical networks for power distribution. This involves a trade-off between minimizing the power loss due to resistive heating of the lines and minimizing the construction cost (modeled by a linear cost in the number of lines plus a linear cost on the conductance of each line). We begin with a convex optimization method based on the paper 'Minimizing Effective Resistance of a Graph' [Ghosh, Boyd & Saberi]. However, this does not address the Alternating Current (AC) realm and the combinatorial aspect of adding/removing lines of the network. Hence, we consider a non-convex continuation method that imposes a concave cost of the conductance of each line thereby favoring sparser solutions. By varying a parameter of this penalty we extrapolate from the convex problem (with non-sparse solutions) to the combinatorial problem (with sparse solutions). This is used as a heuristic to find good solutions (local minima) of the non-convex problem. To perform the necessary non-convex optimization steps, we use the majorization-minimization algorithm that performs a sequence of convex optimizations obtained by iteratively linearizing the concave part of the objective. A number of examples are presented which suggest that the overall method is a good heuristic for network design. We also consider how to obtain sparse networks that are still robust against failures of lines and/or generators.

Johnson, Jason K [Los Alamos National Laboratory; Chertkov, Michael [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

389

EIA - The National Energy Modeling System: An Overview 2003-Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module The National Energy Modeling System: An Overview 2003 Natural Gas Transmission and Distribution Module Figure 15. Natural Gas Transmission and Distribution Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Figure 16. Natural Gas Transmission and distribution Module Network. Need help, contact the National Energy Information Center at 202-586-8800. Natural Gas Transmission and distribution Module Table. Need help, contact the National Energy Information Center at 202-586-8800. The natural gas transmission and distribution module (NGTDM) of NEMS represents the natural gas market and determines regional market–clearing prices for natural gas supplies and for end–use consumption, given the

390

DOE Launches Natural Gas Infrastructure R&D Program Enhancing Pipeline and Distribution System Operational Efficiency, Reducing Methane Emissions  

Energy.gov (U.S. Department of Energy (DOE))

Following the White House and the Department of Energy Capstone Methane Stakeholder Roundtable on July 29th, DOE announced a series of actions, partnerships, and stakeholder commitments to help modernize the nations natural gas transmission and distribution systems and reduce methane emissions. Through common-sense standards, smart investments, and innovative research, DOE seeks to advance the state of the art in natural gas system performance. DOEs effort is part of the larger Administrations Climate Action Plan Interagency Strategy to Reduce Methane Emissions.

391

Applications of radon distribution and radon flux for the determination of oceanic mixing and air-sea gas exchange  

E-Print Network (OSTI)

APPLICATIONS OF RADON DISTRIBUTION AND RADON FLUX FOR THE DETERS 1INATION Ol OCEANIC IvfIXING AND AIR -SEA GAS EXCHA NGE A Thesis by ROBERT I. EWIS BREWER Submitted to the Graduate College oi T e xa s A '4 I'. 1 Univ c r s i ty in partial... luiiillment of the requirement for the degree of KIASTER OF SCIENCE May 1977 Major Subject: Oceanography APPLICATIONS OF RADON DIS TBIBUTION AND RADON FLUX FOR THE DETERMINATION OF OCEANIC MIXING A ND AIR ? SEA GAS EXCIdA NGE A Thesis by ROBERT LEWIS...

Brewer, Robert Lewis

2012-06-07T23:59:59.000Z

392

Network  

NLE Websites -- All DOE Office Websites (Extended Search)

Network Network Facts & Stats Engineering Services The Network Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet Site Availabiliy OSCARS Fasterdata...

393

Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks  

Science Journals Connector (OSTI)

A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the system dynamics by a jump Markov system with a finite set of states, including the abrupt change behaviour. For each discrete state, an observed system is assumed to evolve according to a state-space model. The collaborative strategy ensures the efficiency and the robustness of the data processing, while limiting the required communications bandwith. An efficient Rao-Blackwellised Collaborative Particle Filter (RB-CPF) is proposed to estimate the a posteriori probability of the discrete states of the observed systems. The Rao-Blackwellisation procedure combines a Sequential Monte-Carlo (SMC) filter with a bank of distributed Kalman filters. In order to prolong the sensor network lifetime, only few active (leader) nodes are selected according to a spatio-temporal selection protocol. This protocol is based on a trade-off between error propagation, communications constraints and information content complementarity of distributed data. Only sufficient statistics are communicated between leader nodes and their collaborators.

Hichem Snoussi; Cedric Richard

2007-01-01T23:59:59.000Z

394

EIA - Assumptions to the Annual Energy Outlook 2010 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2010 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and

395

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

E-Print Network (OSTI)

of desaturating from 100 per cent brine saturation; in the second, waterflooding took place after successive steps of increasing the brine saturation, starting at the lowest value that could be obtained by flowing gas through it. The results indicate... s Hexanes Heptanes + 93. 30 5 1. 70 $ 4. 00 $ 0. 37 $ 0. 07 $ 0. 20 $ 0. 36 $ The brine used was made up from distilled water, sodium chloride, and sodium nitrite, the latter salt added to inhibit corrosion. The brine had the following composition...

Elliott, James Kelly

2012-06-07T23:59:59.000Z

396

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

SciTech Connect

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.

Susan Burkett; Hagen Schempf

2006-01-31T23:59:59.000Z

397

Gas and RRR distribution in high purity Niobium EB welded in Ultra-High Vacuum  

SciTech Connect

Electron beam (EB) welding in UHV (ultra-high vacuum, 10-5 divide 10-8 mbar) is applied in the standard fabrication of high gradient niobium superconducting radio frequency (SRF) cavities of TESLA design. The quality of EB welding is critical for cavity performance. Experimental data of gas content (H2, O2, N2) and RRR (residual resistivity ratio) measurements in niobium (Nb) welding seams are presented. EB welding in UHV conditions allow to preserve low gas content (1 divide 3 wt. ppm hydrogen and 5 divide 7 ppm oxygen and nitrogen), essential for high values of RRR - 350 divide 400 units. Gas content redistribution in the electron beam welded and heat affected region take place in the welding process. Correlation between gas solubility parameters, RRR and thermal conductivity are presented. Mechanisms of gas solubility in EB welding process are discussed.

Anakhov, S.; Singer, X.; Singer, W.; Wen, H. [RSVPU, Yekaterinburg (Russian Federation); DESY, Hamburg (Germany); IEE CAS, Beijing (China)

2006-05-24T23:59:59.000Z

398

E-Print Network 3.0 - advanced natural-gas reciprocating Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

natural-gas reciprocating Search Powered by Explorit Topic List Advanced Search Sample search results for: advanced natural-gas reciprocating Page: << < 1 2 3 4 5 > >> 1...

399

E-Print Network 3.0 - active gas handling Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

geopolitics of gas working paper series THE BELARUS CONNECTION: EXPORTING RUSSIAN GAS TO GERMANY... AND POLAND david victor and nadejda makarova victor 12;The Belarus Connection:...

400

E-Print Network 3.0 - atmospheric trace gas Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Chemistry and Physics Discussions Trace gas measurements from... ., Rinsland, C. P., Stiller, G. P., and Zander, R.: On the assessment and uncertainty of atmospheric trace gas......

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


401

E-Print Network 3.0 - advanced hot-gas filter Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

au Journal de Physique 111,Volume 3, dtcembre 1993 Summary: aredownstreamof the gasifier,namelythe fuelgascooler, the hot gas filter and the ductwork liner. The gas stream......

402

Distribution network planning integrating charging stations of electric vehicle with V2G  

Science Journals Connector (OSTI)

Abstract Accompanied by the popularization of EVs, the planning of electric vehicle (EV) charging stations becomes an important concern of distribution network planning. In this paper, the load density method is introduced to determine the optimal capacity of the EV charging stations in the areas to be planned, and the difference between 1 and the weight coefficients obtained by the analytic hierarchy process (AHP) method is used to calculate the cost coefficients of the charging station. The objective function of the optimal distribution network planning model should be the minimal cost of the fixed investments, the operational costs and the maintenance costs including the substations, charging stations and feeders. In this model, the effect of vehicle-to-grid (V2G) is considered, i.e., the EV is respectively treated as both the load and the source. Moreover, the electricity price volatility has been taken into consideration. In this case, EV owners can be guided to charge and discharge EV orderly. The ordinal optimization approach is applied to get the best solution. The results of the case study based on IEEE 54 nodes model show the feasibility and effectiveness of the proposed model.

Xiangning Lin; Jinwen Sun; Shengfang Ai; Xiaoping Xiong; Yunfei Wan; Dexian Yang

2014-01-01T23:59:59.000Z

403

A Proposal to Establish an International Network on Biofixation of CO2 and Greenhouse Gas Abatement with Microalgae  

NLE Websites -- All DOE Office Websites (Extended Search)

Proposal to Establish an International Network Proposal to Establish an International Network on Biofixation of CO 2 and Greenhouse Gas Abatement with Microalgae Paola Pedroni (ppedroni@mail.enitecnologie.eni.it; 39 0252 046615) EniTecnologie S.p.A., Environmental Technology Research Center Via F. Maritano 26 20097 San Donato Milanese, Milan, Italy John Davison (john@ieagreen.demon.co.uk; 44 1242 680753) IEA Greenhouse Gas R&D Programme StokeOrchard, Cheltenham, Gloucestershire GL52 7RZ , United Kingdom Heino Beckert (Heino.Beckert@netl.doe.gov; 304 286 4132) National Energy Technology Laboratory, U.S. Department of Energy 3610 Collins Ferry Road Morgantown, West Virginia 26507, USA Perry Bergman (Perry.Bergman@netl.doe.gov; 412 386 4890) National Energy Technology Laboratory, U.S. Department of Energy

404

E-Print Network 3.0 - aircraft gas turbines Sample Search Results  

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turbines Search Powered by Explorit Topic List Advanced Search Sample search results for: aircraft gas turbines...

405

E-Print Network 3.0 - advanced gas turbines Sample Search Results  

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turbines Search Powered by Explorit Topic List Advanced Search Sample search results for: advanced gas turbines...

406

E-Print Network 3.0 - aviation gas turbines Sample Search Results  

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turbines Search Powered by Explorit Topic List Advanced Search Sample search results for: aviation gas turbines...

407

E-Print Network 3.0 - arctic gas pipeline Sample Search Results  

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pipeline Search Powered by Explorit Topic List Advanced Search Sample search results for: arctic gas pipeline...

408

Natural gas distributed throughout the Marcellus black shale in northern Appalachia could boost proven U.S. gas reserves by trillions of cubic feet (see http://live.psu.edu/story/28116).  

E-Print Network (OSTI)

Natural gas distributed throughout the Marcellus black shale in northern Appalachia could boost is the second largest producing on-shore domestic natural gas field in the United States after the San Juan and opportunities faced by landowners navigating the legal and practical issues of leasing their land for natural

Boyer, Elizabeth W.

409

NETWORKS FOR FUN Anna NagurneyAnna Nagurney  

E-Print Network (OSTI)

;Copyright 2000 Anna Nagurney Satellite and Undersea Cable Networks #12;Copyright 2000 Anna Nagurney Energy New England Electric Power Network #12;Copyright 2000 Anna Nagurney Duke Energy Gas Pipeline Network, and Planes, Manufacturing and logistics Workstations, Distribution Points Processing, Shipment Components

Nagurney, Anna

410

An Implicit Optimization Approach for Survivable Network Design  

E-Print Network (OSTI)

heavily on networked systems such as the electric power grid, water and gas distribution systems, com networks. For example, nodes can represent genera- tors, load points, and junctions in a power system capacities) even after the disruption of a subset of the network's arcs. Specifically, we consider the case

Pinar, Ali

411

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)

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 ...

Rogers, Thomas Edward

1984-01-01T23:59:59.000Z

412

Dynamic neural network-based fault diagnosis of gas turbine engines  

Science Journals Connector (OSTI)

In this paper, a neural network-based fault detection and isolation (FDI) scheme is presented to detect and isolate faults in a highly nonlinear dynamics of an aircraft jet engine. Towards this end, dynamic neural networks (DNN) are first developed to ... Keywords: Aircraft jet engine, Bank of filters, Computational intelligence, Dynamic neural networks, Fault detection and isolation, Fault diagnosis, Multiple model schemes

S. Sina Tayarani-Bathaie; Z. N. Sadough Vanini; K. Khorasani

2014-02-01T23:59:59.000Z

413

Consistent empirical physical formula construction for recoil energy distribution in HPGe detectors using artificial neural networks  

E-Print Network (OSTI)

The gamma-ray tracking technique is one of the highly efficient detection method in experimental nuclear structure physics. On the basis of this method, two gamma-ray tracking arrays, AGATA in Europe and GRETA in the USA, are currently being developed. The interactions of neutrons in these detectors lead to an unwanted background in the gamma-ray spectra. Thus, the interaction points of neutrons in these detectors have to be determined in the gamma-ray tracking process in order to improve photo-peak efficiencies and peak-to-total ratios of the gamma-ray peaks. Therefore, the recoil energy distributions of germanium nuclei due to inelastic scatterings of 1-5 MeV neutrons were obtained both experimentally and using artificial neural networks. Also, for highly nonlinear detector response for recoiling germanium nuclei, we have constructed consistent empirical physical formulas (EPFs) by appropriate layered feed-forward neural networks (LFNNs). These LFNN-EPFs can be used to derive further physical functions which could be relevant to determination of neutron interactions in gamma-ray tracking process.

Serkan Akkoyun; Nihat Yildiz

2012-02-16T23:59:59.000Z

414

E-Print Network 3.0 - american natural gas Sample Search Results  

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natural gas Search Powered by Explorit Topic List Advanced Search Sample search results for: american natural gas Page: << < 1 2 3 4 5 > >> 1 SPE 91413SPE 91413 Anangela Garcia...

415

E-Print Network 3.0 - allothermal gasification gas- Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

of the gasifer, could cause... 2002. 13. Hansen, Martin, Gas Cleaning and Gas Engines for Small-Scale Biomass Gasification... , Orlando, Florida, USA NAWTEC18-3521 STATUS OF...

416

E-Print Network 3.0 - argon gas pressure Sample Search Results  

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pressure of each gas in the chamber atmosphere... Bio390 Problem: Gas Laws thanks to Dr. J.F. Anderson, Dept. ... Source: Prestwich, Ken - Biology Department, College of the Holy...

417

E-Print Network 3.0 - arterial blood gas Sample Search Results  

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54 ml CO2 dL blood The total CO2 content of blood in any systemic artery 49 ml CO2 d... of gas exchange with environment Difference in blood respiratory gas after...

418

E-Print Network 3.0 - air-sea gas exchange Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

127 1 Problem Set 3: MAE 127 Summary: and 3 look at the problem of estimating air-sea CO2 gas exchange. The gas transfer velocity defining air-sea... CO2 exchange is a function...

419

E-Print Network 3.0 - alcohol gas additives Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

alcohol. In addition, you will not want to use... , methyl gas, hydrogen, carbon dioxide, carbon monoxide, wood alcohol, carbon, water, and a lot of other... if gas storage tanks...

420

E-Print Network 3.0 - atmospheric gas annual Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

reactive trace gas with a current lifetime in the atmosphere of w... gas'. The greenhouse effect of one molecule of CH4 ... Source: USGS Western Region Coastal and Marine...

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


421

EIA-Assumptions to the Annual Energy Outlook - National Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2007 National Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

422

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

E-Print Network (OSTI)

was exposed to various mixtures of air with these four pollutants. The paper deals with the calibration to control a chemical process or to monitor the safety of gas environment in an underground mine means of estimating the flammable gas in the air. One of the main problems with this type of gas sensors

Osowski, Stanislaw

423

LaserSPECks:: laser SPECtroscopic trace-gas sensor networks - sensor integration and applications  

Science Journals Connector (OSTI)

We introduce a novel laser spectroscopic trace-gas sensor platform, LaserSPECks that integrates recently developed miniature quartz-enhanced photoacoustic spectroscopy (QE-PAS) gas sensing technology. This universal platform uses infrared laser spectroscopy ... Keywords: lasers, sensors, spectroscopy, trace gas sensing

Stephen So; Farinaz Koushanfar; Anatoliy Kosterev; Frank Tittel

2007-04-01T23:59:59.000Z

424

Buildings Energy Data Book: 6.3 Natural Gas Production and Distribution  

Buildings Energy Data Book (EERE)

6 6 Top 10 Natural Gas Producing States, 2009 and 2010 (1) Gas Production in 2009 Gas Production in 2010 Marketed Production (2) Share of Marketed Production Share of State (billion cubic feet) U.S. Production State (billion cubic feet) U.S. Production 1. Texas 6,819 30% 1. Texas 6,715 30% 2. Wyoming 2,335 10% 2. Wyoming 2,306 10% 3. Oklahoma 1,858 8% 3. Louisiana 2,210 10% 4. Louisiana 1,549 7% 4. Oklahoma 1,827 8% 5. Colorado 1,499 7% 5. Colorado 1,578 7% 6. New Mexico 1,383 6% 6. New Mexico 1,292 6% 7. Arkansas 680 3% 7. Arkansas 927 4% 8. Utah 444 2% 8. Pennsylvania (3) 573 3% 9. Alaska 397 2% 9. Utah 432 2% 10. Kansas 354 2% 10. Alaska 374 2% 77% 81% Gulf of Mexico 2,429 11% Gulf of Mexico 2,245 10% U.S Total U.S. Total Note(s): Source(s): 21,604 22,402 1) State production includes offshore production in state waters, where applicable. 2) Marketed production equals gross withdrawals less gas

425

,"South Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_ssc_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_ssc_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

426

,"North Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","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:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_snc_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_snc_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

427

,"New Hampshire Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","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:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_snh_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_snh_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

428

,"North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","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:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_snd_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_snd_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

429

,"New York Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of 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:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_sny_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_sny_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

430

,"West Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_swv_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_swv_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

431

,"New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","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:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_snm_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_snm_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

432

,"New Jersey Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","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:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_snj_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_snj_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

433

,"South Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_ssd_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_ssd_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

434

Distributional Implications of Alternative U.S. Greenhouse Gas Control Measures  

E-Print Network (OSTI)

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 ...

Paltsev, Sergey

435

Airborne CO2 DIAL measurement of atmospheric tracer gas concentration distributions  

Science Journals Connector (OSTI)

An airborne differential absorption lidar system employing high-energy line-tunable CO2 lasers has been used to map cross-plume vertical distributions resulting from a...

Uthe, Edward E

1986-01-01T23:59:59.000Z

436

Numerical solutions of ideal quantum gas dynamical flows governed by semiclassical ellipsoidal-statistical distribution  

Science Journals Connector (OSTI)

...to cover the high-energy tail of the distribution...mass, momentum and energy, but differs from the...2000 Fundamentals of carrier transport, 2nd edn...G . 2005 Nanoscale energy transport and conversion : a parallel treatment...

2014-01-01T23:59:59.000Z

437

Distributional Implications of Alternative U.S. Greenhouse Gas Control Measures  

E-Print Network (OSTI)

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 ...

Rausch, Sebastian

438

Additions to Capacity on the U.S. Natural Gas Pipeline Network: 2005  

Gasoline and Diesel Fuel Update (EIA)

percent increase in capacity additions (see percent increase in capacity additions (see Box, "Capacity Measures," p. 4). Indeed, less new natural gas pipeline mileage was added in 2005 than in any year during the past decade. 1 Energy Information Administration, Office of Oil and Gas, August 2006 1 In 2005, at least 31 natural gas pipeline projects of varying profiles 2 were completed in the lower 48 States and the Gulf of Mexico (Figure 3, Table 1). Of these, 15 were expansions (increases in capacity) on existing natural gas pipelines while the other 16 were 9 system extensions or laterals associated with existing natural gas pipelines, 5 new natural gas pipeline systems, and 2 oil pipeline conversions. Expenditures for natural gas pipeline development amounted to less than $1.3

439

Topic 2: Introduction to Smart Grid A.H. MohsenianRad (U of T) 1Networking and Distributed Systems  

E-Print Network (OSTI)

Topic 2: Introduction to Smart Grid A.H. MohsenianRad (U of T) 1Networking and Distributed Systems Mohsenian-Rad Texas Tech UniversityCommunications and Control in Smart Grid 2 · Smart Grid: Definition · Smart Grid: Applications / Benefits · Smart Grid in the United States · Government and Industries

Mohsenian-Rad, Hamed

440

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

E-Print Network (OSTI)

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

Mohsenian-Rad, Hamed

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


441

A MODIFIED BROADCAST STRATEGY FOR DISTRIBUTED SIGNAL ESTIMATION IN A WIRELESS SENSOR NETWORK WITH A TREE TOPOLOGY  

E-Print Network (OSTI)

WITH A TREE TOPOLOGY Joseph Szurley§ , Alexander Bertrand§ , Marc Moonen§ §KU Leuven-Dept. Electrical of the distributed adaptive node-specific estimation (DANSE) algorithm in a tree topology (T-DANSE). In this paper, we consider a network where there is at least one node with a large (vir- tually infinite) energy

442

Flicker attenuation and transfer study for induction generator integrated into distribution network  

Science Journals Connector (OSTI)

Abstract Squirrel-cage induction generators (IGs) are widely used in distributed generation (DG). When the voltage at the point of common coupling is fluctuant, the embedded IG will show the impedance characteristic with dynamic changes under the different fluctuation frequencies. In addition, the drive train of IG set has great impact on the voltage flicker attenuation. This paper observes the dynamic response of IG to the voltage flicker through the experiments and further defines the flicker attenuation factor and transfer coefficient. A linearization model of IG with two-mass equivalent drive train is constructed through comparing the impacts of different drive trains (such as diesel engine, wind turbine) on the voltage flicker attenuation. Then an analytical method is proposed to determine the dynamic impedance, attenuation factor, transfer coefficient and flicker limit for IG integrated into distribution network. The correctness of the proposed method is verified by the experimental tests and the dynamic simulation using the detailed model of IG set. The parameters sensitivities of drive train and generator to the voltage flicker attenuation effect are analyzed and discussed in the paper.

Qianggang Wang; Niancheng Zhou; Jizhong Zhu; Wei Yan; Shu Pan

2014-01-01T23:59:59.000Z

443

Design and implementation of a distributed virtual machine for networked computers  

E-Print Network (OSTI)

. This partitioning of system functionality reduces resource requirements on network clients, improves site security

Mohri, Mehryar

444

The National Energy Modeling System: An Overview 1998 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

NATURAL GAS TRANSMISSION AND DISTRIBUTION MODULE NATURAL GAS TRANSMISSION AND DISTRIBUTION MODULE blueball.gif (205 bytes) Annual Flow Submodule blueball.gif (205 bytes) Capacity Expansion Submodule blueball.gif (205 bytes) Pipeline Tariff Submodule blueball.gif (205 bytes) Distributor Tariff Submodule The natural gas transmission and distribution module (NGTDM) is the component of NEMS that represents the natural gas market. The NGTDM models the natural gas transmission and distribution network in the lower 48 States, which links suppliers (including importers) and consumers of natural gas. The module determines regional market-clearing prices for natural gas supplies (including border prices) and end-use consumption. The NGTDM has four primary submodules: the annual flow submodule, the capacity expansion submodule, the pipeline tariff submodule, and the

445

Optimal sizing and location of SVC devices for improvement of voltage profile in distribution network with dispersed photovoltaic and wind power plants  

Science Journals Connector (OSTI)

Abstract Intermittent power generation of wind turbines and photovoltaic plants creates voltage disturbances in power distribution networks which may not be acceptable to the consumers. To control the deviations of the nodal voltages, it is necessary to use fast dynamic control of the reactive power in the distribution network. Implementation of the power electronic devices, such as Static Var Compensator (SVC), enables effective dynamic state as well as a static state of the nodal voltage control in the distribution network. This paper analyzed optimal sizing and location of SVC devices by using genetic algorithm, to improve nodal voltages profile in a distribution network with dispersed photovoltaic and wind power plants. Practical application of the developed methodology was tested on an example of a real distribution network.

Aleksandar Savi?; eljko ?urii?

2014-01-01T23:59:59.000Z

446

Modelling of an integrated gas and electricity network with significant wind capacity.  

E-Print Network (OSTI)

??The large scale integration of wind generation capacity into an electricity network poses technical as well as economic challenges. In this research, three major challenges (more)

Qadrdan, Meysam

2012-01-01T23:59:59.000Z

447

Identification of parameters influencing the response of gas storage wells to hydraulic fracturing with the aid of a neural network  

SciTech Connect

Performing hydraulic fractures on gas storage wells to improve their deliverability is a common practice in the eastern part of the US. Most fields used for storage in this region are old, and the reservoir characteristic data necessary for most reservoir studies and hydraulic fracture design and evaluation are scarce. This paper introduces a new method by which parameters that influence the response of gas storage wells to hydraulic fracturing may be identified in the absence of sufficient reservoir data. Control and manipulation of these parameters, once identified correctly, could enhance the outcome of frac jobs in gas storage fields. The authors conducted the study on a gas storage field in the Clinton formation of northeastern Ohio. They found that well-performance indicators before a hydraulic fracture play an important role in how good the well will respond to a new frac job. They also identified several other important factors. The identification of controlling parameters serves as a foundation for improved frac job design in the fields where adequate engineering data are not available. Another application of this type of study could be the enhancement of selection criteria among the candidate wells for hydraulic fracturing. To achieve the objective of this study, the authors designed, trained, and applied an artificial neural network. The paper will discuss the results of the incorporation of this new technology in hydraulic fracture design and evaluation.

McVey, D.S. [East Ohio Gas Co., North Canton, OH (United States); Mohaghegh, S.; Aminian, K.; Ameri, S. [West Virginia Univ., Morgantown, WV (United States)

1996-04-01T23:59:59.000Z

448

E-Print Network 3.0 - army gas-cooled reactor Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

ENABLING SUSTAINABLE NUCLEAR POWER Summary: and NRE Design Class., "Advances in the Subcritical, Gas-Cooled Fast Transmutation Reactor Concept", Nucl... . Tedder, J. Lackey, J....

449

E-Print Network 3.0 - ar-rich source gas Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

argon (Ar)-rich atmosphere... in natural gas bubble plumes: observations from the Coal Oil Point marine hydrocarbon ... Source: California at Santa Barbara, University of -...

450

STEADY STATE FLOW STUDIES OF SECTIONS IN NATURAL GAS PIPELINE NETWORKS.  

E-Print Network (OSTI)

??Efficient transportation of natural gas is vital to the success of the economy of the US and the world, because of the various uses of (more)

Ken-Worgu, Kenneth

2008-01-01T23:59:59.000Z

451

E-Print Network 3.0 - australian natural gas Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

of natural gas). For instance, if demand is held constant at 2004 levels and renewable energy... and Timetables of the Proposed Australian Emissions Trading ... Source: Colorado at...

452

E-Print Network 3.0 - american gas-light journal Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

Science 95 Josephine Hale In Country, Out of Country: The Life and Art of Josephine Hale Summary: possible for application as streetlights as early as 1878, gas lighting...

453

E-Print Network 3.0 - aggressive gas separations Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

sulphur and chlorine present... in the gas to attack the metal. In the Studsvik CFB gasificationpilot plant, which uses RDF (Refuse... .1 mm after three gasi- fication...

454

E-Print Network 3.0 - advanced underground gas Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

Mulder1 Summary: where all current underground activities take place except for oil and gas extraction and mining... with reluctant public perception still hamper such underground...

455

E-Print Network 3.0 - abandons gas storage Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Storage L... - Million tonnes of oil equivalent 12;Hughes: Alton Underground Natural Gas Storage Facility 2 storage... : Is there a sufficient supply of ... Source: Hughes,...

456

E-Print Network 3.0 - advanced natural gas Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Currently, natural gas vehicles are less competitive... , and weight of conventional tanks continue to be barriers to ... Source: California Energy Commission Collection: Energy...

457

E-Print Network 3.0 - atomic hydrogen gas Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

and Fuel Summary: : Physical storage of compressed hydrogen gas in high pressure tanks (up to 700 bar); Physical storage... of a material either as hydrogen molecules (H2...

458

Shale gas rock characterization and 3D submicron pore network reconstruction .  

E-Print Network (OSTI)

??"Determining shale gas petrophysical properties is the cornerstone to any reservoir-management practice. Hitherto, conventional core analyses are inadequate to attain the petrophysical properties of shale (more)

Elgmati, Malek, 1982-

2011-01-01T23:59:59.000Z

459

E-Print Network 3.0 - advanced hot gas Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

formation, high temperature gas flow... to describe the observed effects of particle size and porosity. Of central importance is the formation of hot... spots and the chemical...

460

E-Print Network 3.0 - air-cooled gas turbine Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

State University Collection: Engineering 27 Combustion System Development for Medium-Sized Industrial Gas Turbines: Meeting Tight Emission Regulations while Using Summary:...

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


461

E-Print Network 3.0 - application systems gas Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Institute of Technology Collection: Engineering 39 Combustion System Development for Medium-Sized Industrial Gas Turbines: Meeting Tight Emission Regulations while Using Summary:...

462

E-Print Network 3.0 - automotive exhaust gas Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

ON INTERNAL COMBUSTION ENGINES 1. F. Obert, Internal Combustion Engines and Air Pollution, Intext Educational Publishers, 1973 Summary: , Critical Topics in Exhaust Gas...

463

E-Print Network 3.0 - advanced flue gas Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

(WTERT) Collection: Renewable Energy 5 INNOVATIVE TECHNOLOGY FOR THE CONTROL OF AIR POLLUTION AT WASTE-TO-ENERGY Summary: -Beam process is applied to flue gas compositions...

464

E-Print Network 3.0 - atmospheric pressure gas Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

3... . Gas % Composition ... Source: Prestwich, Ken - Biology Department, College of the Holy Cross Collection: Environmental Sciences and Ecology ; Biology and Medicine 2 Bio390...

465

E-Print Network 3.0 - abscess gas formation Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

if there is evidence of intestinal obstruction, abscess formation, perforation, fis... -old white woman with a history of gas- trointestinal problems presented with ab-...

466

System level design of power distribution network for mobile computing platforms  

E-Print Network (OSTI)

Regulator based Power Distribution Design under WorstRegulator based Power Distribution Design under WorstRegulator based Power Distribution Design under Worst

Shayan Arani, Amirali

2011-01-01T23:59:59.000Z

467

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

E-Print Network (OSTI)

of production and distribution. The proposed methodology has been tested on small, medium, and large size/depots in order to fulfill a common set of shared customer demands. The application to real industrial size test be gasified and sent to the pipeline to ensure that over-the-fence customer demands are satisfied. Moreover

Grossmann, Ignacio E.

468

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

E-Print Network (OSTI)

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.

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

2010-07-12T23:59:59.000Z

469

DOE/EIA-0131(96) Distribution Category/UC-960 Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

ID ID OR WY ND SD CA NV UT CO NE KS AZ NM OK TX MN WI MI IA IL IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Japan Mexico Mexico Algeria Canada Canada Canada Canada Canada Canada Canada Algeria Canada United Arab Emirates Interstate Movements of Natural Gas in the United States, 1996 (Volumes Reported in Million Cubic Feet) Supplemental Data From Volume To From Volume To (T) AL KY (T) MA ME (T) AL LA MA NH (T) AL MO (T) MA NJ (T) AL SC MD DC CT RI RI MA DE MD VA DC MA CT (T) Trucked Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." E I A NERGY NFORMATION DMINISTRATION 906,407 355,260 243,866 220 384,311 576,420 823,799 842,114 27,271 126,012 133 602,841 266 579,598 16,837 268,138 48,442 182,511 219,242 86,897 643,401 619,703 8,157 937,806 292,711 869,951 12,316 590,493 118,256

470

Hybrid Control Network Intrusion Detection Systems for Automated Power Distribution Systems  

E-Print Network (OSTI)

and improve the reliability of the distribution system [3].distribution topology for protection and to improve reliability.

Parvania, Masood; Koutsandria, Georgia; Muthukumar, Vishak; Peisert, Sean; McParland, Chuck; Scaglione, Anna

2014-01-01T23:59:59.000Z

471

Buildings Energy Data Book: 6.3 Natural Gas Production and Distribution  

Buildings Energy Data Book (EERE)

2 2 Natural Gas in Underground Storage (Billion Cubic Feet) Underground Base Gas Working Gas Total Storage Capacity 1980 3,642 2,655 6,297 7,434 85% 1981 3,752 2,817 6,569 7,805 84% 1982 3,808 3,071 6,879 7,915 87% 1983 3,847 2,595 6,442 7,985 81% 1984 3,830 2,876 6,706 8,043 83% 1985 3,842 2,607 6,448 8,087 80% 1986 3,819 2,749 6,567 8,145 81% 1987 3,792 2,756 6,548 8,124 81% 1988 3,800 2,850 6,650 8,124 82% 1989 3,812 2,513 6,325 8,120 78% 1990 3,868 3,068 6,936 7,794 89% 1991 3,954 2,824 6,778 7,993 85% 1992 4,044 2,597 6,641 7,932 84% 1993 4,327 2,322 6,649 7,989 83% 1994 4,360 2,606 6,966 8,043 87% 1995 4,349 2,153 6,503 7,953 82% 1996 4,341 2,173 6,513 7,980 82% 1997 4,350 2,175 6,525 8,332 78% 1998 4,326 2,730 7,056 8,179 86% 1999 4,383 2,523 6,906 8,229 84% 2000 4,352 1,719 6,071 8,241 74% 2001 4,301 2,904 7,204 8,415 86% 2002 4,340 2,375 6,715 8,207 82% 2003 4,303 2,563 6,866 8,206

472

Molten carbonate fuel cell and gas turbine hybrid systems as distributed energy resources  

Science Journals Connector (OSTI)

Molten carbonate fuel cell (MCFC)/gas turbine (GT) hybrid system has attracted a great deal of research effort due to its higher electricity efficiency. However, its technology has remained at the conceptual level due to incomplete examination of the related issues, challenges and variables. To contribute to the development of system technology, the MCFC/GT hybrid system is analyzed and discussed herein. A qualitative comparison of the two kinds of MCFC/GT hybrid system, indirect and direct, is hindered by the many variables involved. However, the indirect system may be preferred for relatively small-scale systems with the micro-GT. The direct system can be more competitive in terms of system efficiency and GT selection due to the optionality of system layouts as well as even higher GT inlet temperature. System layout is an important factor influencing the system efficiency. The other issues such as GT selection, system pressurization and part-load operation are also significant.

Jung-Ho Wee

2011-01-01T23:59:59.000Z

473

Dynamic Distributed Flow Scheduling with Load Balancing for Data Center Networks  

Science Journals Connector (OSTI)

Abstract Current Flow Scheduling techniques in Data Center Networks(DCN) results in overloaded or underutilized links. Static flow scheduling techniques such as ECMP and VLB use hashing techniques for scheduling the flows. In case of hash collision a path gets selected number of times resulting overloading of that path and underutilization of other paths. Dynamic flow scheduling techniques like global first fit employ centralized scheduler and always selects first fittest candidate path for scheduling. Thus in addition to single-point-of-failure the overall link uti- lization also remains a problem as the flows are not scheduled on the best available candidate path. This paper presents firstly a Dynamic Distributed Flow Scheduling(DDFS) mechanism that will lead to fair link utilization in globally used fat-tree topology of DCN. Secondly, it presents a mechanism to restrict the flow scheduling de- cisions to the lower layers thus avoiding saturation of core switches. The entire DCN is simulated using Colored Petri Nets (CPN). The load measured at the aggregate switches for various flow patterns in DCN reveals that the load factors at the aggregate switches vary by at most 0.11 which signifies the fair utilization of links.

Sourabh Bharti; K.K. Pattanaik

2013-01-01T23:59:59.000Z

474

A comparative analysis of the technical and economic indicators characterizing independent small-capacity power installations for supplying power to trunk gas lines and gas distribution stations  

Science Journals Connector (OSTI)

Results obtained from a feasibility study of different independent sources of energy are presented, using which one can select them on a sound basis for supplying heat and power for trunk gas lines and gas distri...

G. A. Fokin

2010-11-01T23:59:59.000Z

475

Particle Velocity Distributions and Ionization Processes in a Gas-Puff Z Pinch  

Science Journals Connector (OSTI)

We have measured the time-dependent radial velocity distributions of singly to five times ionized ions in an imploding plasma shell by observing the spectral shapes and intensities of emission lines in various directions. An ionization wave propagating much faster than the local radial ion velocities is observed. The ionization front velocity is found to be consistent with estimates of electron heat conduction into the plasma-neutral layer. The ionization and velocity histories of the particles are experimentally determined. The mechanisms of momentum transfer to the particles are also determined and compared with existing models.

M. E. Foord; Y. Maron; G. Davara; L. Gregorian; A. Fisher

1994-06-13T23:59:59.000Z

476

Buildings Energy Data Book: 6.3 Natural Gas Production and Distribution  

Buildings Energy Data Book (EERE)

1 1 Natural Gas Overview (Trillion Cubic Feet) Supplemental Net Storage Balancing Production Gas Import Withdrawal Item (1) Consumption (2) 1980 19.40 0.15 0.94 0.02 -0.64 19.88 1981 19.18 0.18 0.84 -0.30 -0.50 19.40 1982 17.82 0.14 0.88 -0.31 -0.54 18.00 1983 16.09 0.13 0.86 0.45 -0.70 16.83 1984 17.47 0.11 0.79 -0.20 -0.22 17.95 1985 16.45 0.13 0.89 0.23 -0.43 17.28 1986 16.06 0.11 0.69 -0.15 -0.49 16.22 1987 16.62 0.10 0.94 -0.01 -0.44 17.21 1988 17.10 0.10 1.22 0.06 -0.45 18.03 1989 17.31 0.11 1.27 0.33 0.10 19.12 1990 17.81 0.12 1.45 -0.51 0.31 19.17 1991 17.70 0.11 1.64 0.08 0.03 19.56 1992 17.84 0.12 1.92 0.17 0.18 20.23 1993 18.10 0.12 2.21 -0.04 0.40 20.79 1994 18.82 0.11 2.46 -0.29 0.14 21.25 1995 18.60 0.11 2.69 0.41 0.40 22.21 1996 18.85 0.11 2.78 0.00 0.86 22.61 1997 18.90 0.10 2.84 0.02 0.87 22.74 1998 19.02 0.10 2.99 -0.53 0.66 22.25 1999 18.83 0.10 3.42 0.17 -0.12 22.41 2000 19.18

477

Additions to Capacity on the U.S. Natural Gas Pipeline Network: 2007  

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

Energy Information Administration, Office of Oil and Gas, July 2008 1 U.S. natural gas pipeline construction activity accelerated in 2007 with capacity additions to the grid totaling nearly 14.9 billion cubic feet (Bcf) of daily deliverability (Figure 1). These additions were the largest of any year in the Energy Information Administration's (EIA) 10-year database of pipeline construction activity. The increased level of natural gas pipeline construction activity in 2007 conformed to a growth trend that began slowly in 2005 and intensified in 2006. In 2007, about 1,700 miles of pipeline were installed, which was greater than in any year since 2003 (Figure 2). The expansion cycle for natural gas pipeline construction is occurring at the same time as the development of the

478

Additions to Capacity on the U.S. Natural Gas Pipeline Network: 2007  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration, Office of Oil and Gas, July 2008 1 U.S. natural gas pipeline construction activity accelerated in 2007 with capacity additions to the grid totaling nearly 14.9 billion cubic feet (Bcf) of daily deliverability (Figure 1). These additions were the largest of any year in the Energy Information Administration's (EIA) 10-year database of pipeline construction activity. The increased level of natural gas pipeline construction activity in 2007 conformed to a growth trend that began slowly in 2005 and intensified in 2006. In 2007, about 1,700 miles of pipeline were installed, which was greater than in any year since 2003 (Figure 2). The expansion cycle for natural gas pipeline construction is occurring at the same time as the development of the

479

E-Print Network 3.0 - advanced gas-cooled nuclear Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy 9 UNM engineering s p r i N g 2 0 0 6 Summary: Re); the gas cooled Submersion-Subcritical Safe Space reactor (S4) designed to operate with multiple Closed... for reducing...

480

E-Print Network 3.0 - advanced hot-gas desulfurization Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

; Materials Science 28 Reproducedwith pennissionfrom ElsevierPergamon Biomass and Bioenerg..' Vol: 10, :os 2-3, pp..149-l66, 1996 Summary: at a commercialscale.. But hot-gas...

Note: This page contains sample records for the topic "gas distribution network" from the National Library of EnergyBeta (NLEBeta).
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481

Monitoring System of Networked Gas Stations Based on Embedded Dynamic Web  

Science Journals Connector (OSTI)

The oil is a sort of strategic material, and therefore strengthening the management of oil material has very important significance. Aimed at the difference in communication protocol among dispensers of gas stations

Wei Huang; Kai-wen Chen; Chao Xiao

2014-01-01T23:59:59.000Z

482

E-Print Network 3.0 - argon gas backgrounds Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Appl. Phys. 38 (2005) 15771587 doi:10.10880022-37273810013 Summary: mixtures (with a gas density N) of methane and argon subjected to an external constant electric field E......

483

E-Print Network 3.0 - arterial gas emboli Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Case of the Month Summary: -wave inversion (Figure 1). His arterial blood gas showed pH 7.16, pCO2 of 12;190 J La State Med Soc VOL 160 July... the clinical indications for...

484

E-Print Network 3.0 - airflow gas deposition Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

gas conditions and.condensing temperature (thus pressure) are supplied as input to the heat pump... * air-flow rates at each heat exchanger * combined fan and fan-motor...

485

E-Print Network 3.0 - arbitrarily distributed samples Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

distributed samples Search Powered by Explorit Topic List Advanced Search Sample search results for: arbitrarily distributed samples Page: << < 1 2 3 4 5 > >> 1 Robust Statistics...

486

E-Print Network 3.0 - air-distribution systems interactions Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

Distribution Systems Bass Abushakra Iain S. Walker... , and the installation of supply boots and diffusers. Introduction The installation of air distribution systems... in the...

487

E-Print Network 3.0 - affecting dose distributions Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

(2) short overall... is briefly discussed. Good Dose Distribution Good radiation dose distribution speaks for itself. In many... , good dose ... Source: Brenner, David...

488

E-Print Network 3.0 - automotive fuels distribution Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

>> 1 Distributed Energy Fuel Cells DOE HydrogenDOE Hydrogen Summary: Distributed Energy Fuel Cells DOE HydrogenDOE Hydrogen andand Fuel CellsFuel Cells Coordination... ;Objectives...

489

E-Print Network 3.0 - adaptive distributed control Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

Hierarchical Harald Voit and Anuradha Annaswamy Summary: Adaptive Control of a Networked Control System with Hierarchical Scheduling Harald Voit... be present either in the plant...

490

Buildings Energy Data Book: 6.3 Natural Gas Production and Distribution  

Buildings Energy Data Book (EERE)

5 5 Natural Gas Consumption, by Sector (Trillion Cubic Feet) Residential Commercial Industrial Transportation Electric Power Total 1980 4.75 2.61 8.20 0.63 3.68 19.88 1981 4.55 2.52 8.06 0.64 3.64 19.40 1982 4.63 2.61 6.94 0.60 3.23 18.00 1983 4.38 2.43 6.62 0.49 2.91 16.83 1984 4.56 2.52 7.23 0.53 3.11 17.95 1985 4.43 2.43 6.87 0.50 3.04 17.28 1986 4.31 2.32 6.50 0.49 2.60 16.22 1987 4.31 2.43 7.10 0.52 2.84 17.21 1988 4.63 2.67 7.48 0.61 2.64 18.03 1989 4.78 2.72 7.89 0.63 3.11 19.12 1990 4.39 2.62 8.25 0.66 3.24 19.17 1991 4.56 2.73 8.36 0.60 3.32 19.56 1992 4.69 2.80 8.70 0.59 3.45 20.23 1993 4.96 2.86 8.87 0.63 3.47 20.79 1994 4.85 2.90 8.91 0.69 3.90 21.25 1995 4.85 3.03 9.38 0.70 4.24 22.21 1996 5.24 3.16 9.69 0.72 3.81 22.61 1997 4.98 3.21 9.71 0.76 4.06 22.74 1998 4.52 3.00 9.49 0.64 4.59 22.25 1999 4.73 3.04 9.16 0.66 4.82 22.41 2000 5.00 3.18 9.29 0.65 5.21 23.33 2001 4.77 3.02 8.46 0.64 5.34

491

Natural gas pipeline technology overview.  

SciTech Connect

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.

Folga, S. M.; Decision and Information Sciences

2007-11-01T23:59:59.000Z

492

Bayesian Networks for the management of greenhouse gas emissions in the British agricultural sector  

Science Journals Connector (OSTI)

Recent years have witnessed a rapid rise in the development of deterministic and non-deterministic models to estimate human impacts on the environment. An important failing of these models is the difficulty that most people have understanding the results ... Keywords: Bayesian Networks, Environmental factors, GHG emissions

E. Prez-Miana; P. J. Krause; J. Thornton

2012-07-01T23:59:59.000Z

493

A Spiking Neural Network for Gas Discrimination using a Tin Oxide Sensor Array  

E-Print Network (OSTI)

the molecular acivity into electrical signals. This information converges to a recurrent neural network that the different families of ORNs have broadly overlapping tuning profiles related to the molecular quality [6 Recherche en Informatique et Automatique) and by the French consulate, Procore Grant Ref: F-HK19/05T

Paris-Sud XI, Université de

494

Distributed Virtual Machines: A System Architecture for Network Computing Emin Gn Sirer, Robert Grimm, Brian N. Bershad, Arthur J. Gregory, Sean McDirmid  

E-Print Network (OSTI)

Distributed Virtual Machines: A System Architecture for Network Computing Emin Gün Sirer, Robert Seattle, WA 98195­2350 February 26, 1998 Abstract Modern virtual machines, such as Java and Inferno, are emerging as network computing platforms. While today's virtual machines provide higher­level abstractions

Sirer, Emin Gun

495

Distributed Virtual Machines: A System Architecture for Network Computing Emin Gn Sirer, Robert Grimm, Arthur J. Gregory, Nathan Anderson, Brian N. Bershad  

E-Print Network (OSTI)

Distributed Virtual Machines: A System Architecture for Network Computing Emin Gün Sirer, Robert Seattle, WA 98195-2350 Abstract Modern virtual machines, such as Java and Inferno, are emerging as network computing platforms. While these virtual machines provide higher-level abstractions and more sophisticated

Grimm, Robert

496

Small-Signal Stability Assessment of Active Distribution Networks with Dynamic Loads  

E-Print Network (OSTI)

. Index Terms-- Distributed generation, eigenvalue, induction motor, small-signal stability, voltage mode-- This paper investigates small-signal stability of a distribution system with distributed generator and induction motor load, as a dynamic element. The analysis is carried out over a distribution test system

Pota, Himanshu Roy

497

Rapid deployment of oil-drilling tools utilizing distribution network and inventory strategies .  

E-Print Network (OSTI)

??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 (more)

Rahim, Ryan

2010-01-01T23:59:59.000Z

498

On Relay Nodes Deployment for Distributed Detection in Wireless Sensor Networks  

E-Print Network (OSTI)

considered the use of relaying to improve the energy-efficiency of the sensor network. The work in [8] also the energy-efficiency of the sensor network. Our interest in this paper will be focused on how to deploy Engineering, Alexandria University, Alexandria 21544, Egypt. and Institute for Systems Research kseddik

Liu, K. J. Ray

499

Optimization Algorithms for Information Retrieval and Transmission in Distributed Ad Hoc Networks  

E-Print Network (OSTI)

An ad hoc network is formed by a group of self-configuring nodes, typically deployed in two or three dimensional spaces, and communicating with each other through wireless or some other media. The distinct characteristics of ad hoc networks include...

Lu, Hong

2010-01-14T23:59:59.000Z

500

Adaptive Sensor Activity Scheduling in Distributed Sensor Networks: A Statistical Mechanics Approach  

E-Print Network (OSTI)

of spatial-temporal events. The sensor network is modeled as a Markov random field on a graph, where concepts and wireless communications have enabled usage of inexpensive and miniaturized sensor nodes [1­3] that can #12;Effective use of sensor networks requires resource-aware operation; once deployed, energy sources

Ray, Asok