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1

Integration of Demand Side Management, Distributed Generation...  

Open Energy Info (EERE)

States. Annex 8 provides a list of software tools for analysing various aspects of demand response, distributed generation, smart grid and energy storage. Annex 9 is a list of...

2

Integration of Demand Side Management, Distributed Generation, Renewable  

Open Energy Info (EERE)

Integration of Demand Side Management, Distributed Generation, Renewable Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 1, Main Report Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 1, Main Report Focus Area: Renewable Energy Topics: Policy, Deployment, & Program Impact Website: www.ieadsm.org/Files/Tasks/Task%20XVII%20-%20Integration%20of%20Demand Equivalent URI: cleanenergysolutions.org/content/integration-demand-side-management-di Language: English Policies: Regulations Regulations: Resource Integration Planning This task of the International Energy Agency's (IEA's) Demand-Side

3

Integration of Demand Side Management, Distributed Generation, Renewable  

Open Energy Info (EERE)

Integration of Demand Side Management, Distributed Generation, Renewable Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 2, Annexes Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 2, Annexes Focus Area: Renewable Energy Topics: Policy, Deployment, & Program Impact Website: www.ieadsm.org/Files/Tasks/Task%20XVII%20-%20Integration%20of%20Demand Equivalent URI: cleanenergysolutions.org/content/integration-demand-side-management-di Language: English Policies: Regulations Regulations: Resource Integration Planning This report provides Annexes 1 through 7, which are country reports from

4

Distributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost  

E-Print Network [OSTI]

is to perform demand side management (DSM) [1], which aims at matching the consum- ers' electricity demand between electricity consumption and generation. On the consumption side, electric demand ramps upDistributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost Siyu Yue

Pedram, Massoud

5

Smart Grids Operation with Distributed Generation and Demand Side Management  

Science Journals Connector (OSTI)

The integration of Distributed Generation (DG) based on renewable sources in the Smart Grids (SGs) is considered a challenging task because of the problems arising for the intermittent nature of the sources (e.g....

C. Cecati; C. Citro; A. Piccolo; P. Siano

2012-01-01T23:59:59.000Z

6

Distributed Generation  

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

Untapped Value of Backup Generation Untapped Value of Backup Generation While new guidelines and regulations such as IEEE (Institute of Electrical and Electronics Engineers) 1547 have come a long way in addressing interconnection standards for distributed generation, utilities have largely overlooked the untapped potential of these resources. Under certain conditions, these units (primarily backup generators) represent a significant source of power that can deliver utility services at lower costs than traditional centralized solutions. These backup generators exist today in large numbers and provide utilities with another option to reduce peak load, relieve transmission congestion, and improve power reliability. Backup generation is widely deployed across the United States. Carnegie Mellon's Electricity

7

Decentralized demand management for water distribution  

E-Print Network [OSTI]

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

Zabolio, Dow Joseph

2012-06-07T23:59:59.000Z

8

Distributed Automated Demand Response - Energy Innovation Portal  

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

Transmission Find More Like This Return to Search Distributed Automated Demand Response Lawrence Livermore National Laboratory Contact LLNL About This Technology...

9

Distributed Intelligent Automated Demand Response (DIADR) Building  

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

Distributed Intelligent Automated Demand Distributed Intelligent Automated Demand Response (DIADR) Building Management System Distributed Intelligent Automated Demand Response (DIADR) Building Management System The U.S. Department of Energy (DOE) is currently conducting research into distributed intelligent-automated demand response (DIADR) building management systems. Project Description This project aims to develop a DIADR building management system with intelligent optimization and control algorithms for demand management, taking into account a multitude of factors affecting cost including: Comfort Heating, ventilating, and air conditioning (HVAC) Lighting Other building systems Climate Usage and occupancy patterns. The key challenge is to provide the demand response the ability to address more and more complex building systems that include a variety of loads,

10

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

11

CONSULTANT REPORT DISTRIBUTED GENERATION  

E-Print Network [OSTI]

Energy Jobs Plan, Governor Brown established a 2020 goal of 12,000 megawatts of localized renewable energy development, or distributed generation, in California. In May 2012, Southern California Edison, renewables, interconnection, integration, electricity, distribution, transmission, costs. Please use

12

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network [OSTI]

of Distributed Energy Resources and Demand Response underof Distributed Energy Resources and Demand Response underof Distributed Energy Resources and Demand Response under

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

13

GASIFICATION FOR DISTRIBUTED GENERATION  

SciTech Connect (OSTI)

A recent emphasis in gasification technology development has been directed toward reduced-scale gasifier systems for distributed generation at remote sites. The domestic distributed power generation market over the next decade is expected to be 5-6 gigawatts per year. The global increase is expected at 20 gigawatts over the next decade. The economics of gasification for distributed power generation are significantly improved when fuel transport is minimized. Until recently, gasification technology has been synonymous with coal conversion. Presently, however, interest centers on providing clean-burning fuel to remote sites that are not necessarily near coal supplies but have sufficient alternative carbonaceous material to feed a small gasifier. Gasifiers up to 50 MW are of current interest, with emphasis on those of 5-MW generating capacity. Internal combustion engines offer a more robust system for utilizing the fuel gas, while fuel cells and microturbines offer higher electric conversion efficiencies. The initial focus of this multiyear effort was on internal combustion engines and microturbines as more realistic near-term options for distributed generation. In this project, we studied emerging gasification technologies that can provide gas from regionally available feedstock as fuel to power generators under 30 MW in a distributed generation setting. Larger-scale gasification, primarily coal-fed, has been used commercially for more than 50 years to produce clean synthesis gas for the refining, chemical, and power industries. Commercial-scale gasification activities are under way at 113 sites in 22 countries in North and South America, Europe, Asia, Africa, and Australia, according to the Gasification Technologies Council. Gasification studies were carried out on alfalfa, black liquor (a high-sodium waste from the pulp industry), cow manure, and willow on the laboratory scale and on alfalfa, black liquor, and willow on the bench scale. Initial parametric tests evaluated through reactivity and product composition were carried out on thermogravimetric analysis (TGA) equipment. These tests were evaluated and then followed by bench-scale studies at 1123 K using an integrated bench-scale fluidized-bed gasifier (IBG) which can be operated in the semicontinuous batch mode. Products from tests were solid (ash), liquid (tar), and gas. Tar was separated on an open chromatographic column. Analysis of the gas product was carried out using on-line Fourier transform infrared spectroscopy (FT-IR). For selected tests, gas was collected periodically and analyzed using a refinery gas analyzer GC (gas chromatograph). The solid product was not extensively analyzed. This report is a part of a search into emerging gasification technologies that can provide power under 30 MW in a distributed generation setting. Larger-scale gasification has been used commercially for more than 50 years to produce clean synthesis gas for the refining, chemical, and power industries, and it is probable that scaled-down applications for use in remote areas will become viable. The appendix to this report contains a list, description, and sources of currently available gasification technologies that could be or are being commercially applied for distributed generation. This list was gathered from current sources and provides information about the supplier, the relative size range, and the status of the technology.

Ronald C. Timpe; Michael D. Mann; Darren D. Schmidt

2000-05-01T23:59:59.000Z

14

Distributively generated lattices Grigore Calugareanu  

E-Print Network [OSTI]

Distributively generated lattices Grigore Calugareanu Abstract In 1938 [6] Ore proved the following and distributive is equivalent to locally cyclic (i.e. each finite set of elements generates a cyclic group). A lattice is called distributively generated [resp. cycle generated] if every element is a join

Cãlugãreanu, Grigore

15

Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study  

E-Print Network [OSTI]

Goldman, G. (2009) Retail demand response in Southwest PowerCoordination of retail demand response with Midwest ISO2010. 110 pages. Demand Response and Variable Generation

Cappers, Peter

2012-01-01T23:59:59.000Z

16

Arnold Schwarzenegger DISTRIBUTED GENERATION DRIVETRAIN  

E-Print Network [OSTI]

Arnold Schwarzenegger Governor DISTRIBUTED GENERATION DRIVETRAIN FOR WINDPOWER APPLICATION Prepared in this report. #12;ENERGY INNOVATIONS SMALL GRANT (EISG) PROGRAM INDEPENDENT ASSESSMENT REPORT (IAR) DISTRIBUTED GENERATION DRIVETRAIN FOR WINDPOWER APPLICATION EISG AWARDEE Dehlsen Associates, LLC 7985 Armas Canyon Road

17

DISTRIBUTED GENERATION AND COGENERATION POLICY  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION DISTRIBUTED GENERATION AND COGENERATION POLICY ROADMAP FOR CALIFORNIA to the development of this report by the Energy Commission's Distributed Generation Policy Advisory Team; Melissa;ABSTRACT This report defines a year 2020 policy vision for distributed generation and cogeneration

18

Real time voltage control using emergency demand response in distribution system by integrating advanced metering infrastructure  

Science Journals Connector (OSTI)

In this paper an analytical study is reported to demonstrate the effects of demand response on distribution network voltages profile. Also a new approach for real time voltage control is proposed which uses emergency demand response program aiming at maintaining voltage profile in an acceptable range with minimum cost. This approach will be active in emergency conditions where in real time the voltages in some nodes leave their permissible ranges. These emergency conditions are Distributed Generation (DG) units and lines outage and unpredictable demand and renewable generations' fluctuations. The proposed approach does not need the load and renewable generation forecast data to regulate voltage. To verify the effectiveness and robustness of the proposed control scheme the proposed voltage control scheme is tested on a typical distribution network. The simulation results show the effectiveness and capability of the proposed real time voltage control model to maintain smart distribution network voltage in specified ranges in both normal and emergency conditions.

Alireza Zakariazadeh; Shahram Jadid

2014-01-01T23:59:59.000Z

19

EIA - Distributed Generation in Buildings  

Gasoline and Diesel Fuel Update (EIA)

Previous reports Previous reports Distributed Generation in Buildings - AEO2005 Modeling Distributed Electricity Generation in the NEMS Buildings Models - July 2002 Modeling Distributed Generation in the Buildings Sectors Supplement to the Annual Energy Outlook 2013 - Release date: August 29, 2013 Distributed and dispersed generation technologies generate electricity near the particular load they are intended to serve, such as a residential home or commercial building. EIA defines distributed generation (DG) as being connected to the electrical grid and intended to directly offset retail sales, and dispersed generation as being off-grid and often used for remote applications where grid-connected electricity is cost-prohibitive. Dispersed generation in the buildings sector is not currently gathered by

20

Optimal combined scheduling of generation and demand response with demand resource constraints  

Science Journals Connector (OSTI)

Demand response (DR) extends customer participation to power systems and results in a paradigm shift from simplex to interactive operation in power systems due to the advancement of smart grid technology. Therefore, it is important to model the customer characteristics in DR. This paper proposes customer information as the registration and participation information of DR, thus providing indices for evaluating customer response, such as DR magnitude, duration, frequency and marginal cost. The customer response characteristics are modeled from this information. This paper also introduces the new concept of virtual generation resources, whose marginal costs are calculated in the same manner as conventional generation marginal costs, according to customer information. Finally, some of the DR constraints are manipulated and expressed using the information modeled in this paper with various status flags. Optimal scheduling, combined with generation and DR, is proposed by minimizing the system operation cost, including generation and DR costs, with the generation and DR constraints developed in this paper.

Hyung-Geun Kwag; Jin-O Kim

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Mass Market Demand Response and Variable Generation Integration Issues: A  

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

Mass Market Demand Response and Variable Generation Integration Issues: A Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study Title Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study Publication Type Report Refereed Designation Unknown Year of Publication 2011 Authors Cappers, Peter, Andrew D. Mills, Charles A. Goldman, Ryan H. Wiser, and Joseph H. Eto Pagination 76 Date Published 10/2011 Publisher LBNL City Berkeley Keywords demand response, electricity markets and policy group, energy analysis and environmental impacts department, renewable generation integration, smart grid Abstract The penetration of renewable generation technology (e.g., wind, solar) is expected to dramatically increase in the United States during the coming years as many states are implementing policies to expand this sector through regulation and/or legislation. It is widely understood, though, that large scale deployment of certain renewable energy sources, namely wind and solar, poses system integration challenges because of its variable and often times unpredictable production characteristics (NERC, 2009). Strategies that rely on existing thermal generation resources and improved wind and solar energy production forecasts to manage this variability are currently employed by bulk power system operators, although a host of additional options are envisioned for the near future. Demand response (DR), when properly designed, could be a viable resource for managing many of the system balancing issues associated with integrating large-scale variable generation (VG) resources (NERC, 2009). However, demand-side options would need to compete against strategies already in use or contemplated for the future to integrate larger volumes of wind and solar generation resources. Proponents of smart grid (of which Advanced Metering Infrastructure or AMI is an integral component) assert that the technologies associated with this new investment can facilitate synergies and linkages between demand-side management and bulk power system needs. For example, smart grid proponents assert that system-wide implementation of advanced metering to mass market customers (i.e., residential and small commercial customers) as part of a smart grid deployment enables a significant increase in demand response capability.1 Specifically, the implementation of AMI allows electricity consumption information to be captured, stored and utilized at a highly granular level (e.g., 15-60 minute intervals in most cases) and provides an opportunity for utilities and public policymakers to more fully engage electricity customers in better managing their own usage through time-based rates and near-real time feedback to customers on their usage patterns while also potentially improving the management of the bulk power system. At present, development of time-based rates and demand response programs and the installation of variable generation resources are moving forward largely independent of each other in state and regional regulatory and policy forums and without much regard to the complementary nature of their operational characteristics.2 By 2020, the electric power sector is expected to add ~65 million advanced meters3 (which would reach ~47% of U.S. households) as part of smart grid and AMI4 deployments (IEE, 2010) and add ~40-80 GW of wind and solar capacity (EIA, 2010). Thus, in this scoping study, we focus on a key question posed by policymakers: what role can the smart grid (and its associated enabling technology) play over the next 5-10 years in helping to integrate greater penetration of variable generation resources by providing mass market customers with greater access to demand response opportunities? There is a well-established body of research that examines variable generation integration issues as well as demand response potential, but the nexus between the two has been somewhat neglected by the industry. The studies that have been conducted are informative concerning what could be accomplished with strong broad-based support for the expansion of demand response opportunities, but typically do not discuss the many barriers that stand in the way of reaching this potential. This study examines how demand side resources could be used to integrate wind and solar resources in the bulk power system, identifies barriers that currently limit the use of demand side strategies, and suggests several factors that should be considered in assessing alternative strategies that can be employed to integrate wind and solar resources in the bulk power system. It is difficult to properly gauge the role that DR could play in managing VG integration issues in the near future without acknowledging and understanding the entities and institutions that govern the interactions between variable generation and mass market customers (see Figure ES-1). Retail entities, like load-serving entities (LSE) and aggregators of retail customers (ARC), harness the demand response opportunities of mass market customers through tariffs (and DR programs) that are approved by state regulatory agencies or local governing entities (in the case of public power). The changes in electricity consumption induced by DR as well as the changes in electricity production due to the variable nature of wind and solar generation technologies is jointly managed by bulk power system operators. Bulk power system operators function under tariffs approved by the Federal Energy Regulatory Commission (FERC) and must operate their systems in accordance with rules set by regional reliability councils. These reliability rules are derived from enforceable standards that are set by the North American Electric Reliability Corporation (NERC) and approved by federal regulators. Thus, the role that DR can play in managing VG integration issues is contingent on what opportunities state and local regulators are willing to approve and how customers' response to the DR opportunities can be integrated into the bulk power system both electrically (due to reliability rules) and financially (due to market rules).

22

Demand Response and Variable Generation Integration Scoping Study  

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

Market and Policy Barriers for Demand Market and Policy Barriers for Demand Response Providing Ancillary Services in U.S. Electricity Markets Peter Cappers, Jason MacDonald, Charles Goldman April 2013 Report Summary 1 Energy Analysis Department  Electricity Markets and Policy Group Presentation Overview  Objectives and Approach  Wholesale and Retail Market Environments  Market and Policy Barrier Typology  Prototypical Regional Barrier Assessment 2 Energy Analysis Department  Electricity Markets and Policy Group A Role for Demand Response to Provide Ancillary Services  Increasing penetration of renewable energy generation in U.S. electricity markets means that bulk power system operators will need to manage the variable and uncertain nature of many renewable resources

23

Provide Virtual Distributed Environments for Grid Computing on Demand  

E-Print Network [OSTI]

for security control and user delegation. · Resource management becomes a bottleneck for the Grid middleware]. An community- centric Grid application [9] certainly has a security control scheme distinct with a dataProvide Virtual Distributed Environments for Grid Computing on Demand Lizhe Wang , Gregor von

24

Distributed Generation Status Update  

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

0 DOE Peer Review Presentation 0 DOE Peer Review Presentation © Chevron 2010 CERTS Microgrid Demonstration with Large scale Energy Storage & Renewable Generation November 5, 2010 Presented By: Craig Gee, Project Manager (for Mr. Eduardo Alegria - Principal Investigator) Energy Solutions November 2010 DOE Peer Review Presentation © Chevron 2010 Agenda * Introduction - Who we are * Project Team & Site * Project Purpose & Objectives * Project Impacts * System Elements * Project Status * Research Elements * Recent Developments in California * Questions & Comments November 2010 DOE Peer Review Presentation © Chevron 2010 Chevron Energy Solutions Designed & Implemented over 900 Projects in the U.S.  Chevron ES, a division of Chevron USA, Inc. is committed to delivering economically & environmentally advantageous green

25

Renewable Energy: Distributed Generation Policies and Programs...  

Energy Savers [EERE]

Distributed Generation Policies and Programs Distributed generation is the term used when electricity is generated from sources, often renewable energy sources, near the point of...

26

Integrated, Automated Distributed Generation Technologies Demonstration  

SciTech Connect (OSTI)

The purpose of the NETL Project was to develop a diverse combination of distributed renewable generation technologies and controls and demonstrate how the renewable generation could help manage substation peak demand at the ATK Promontory plant site. The Promontory plant site is located in the northwestern Utah desert approximately 25 miles west of Brigham City, Utah. The plant encompasses 20,000 acres and has over 500 buildings. The ATK Promontory plant primarily manufactures solid propellant rocket motors for both commercial and government launch systems. The original project objectives focused on distributed generation; a 100 kW (kilowatt) wind turbine, a 100 kW new technology waste heat generation unit, a 500 kW energy storage system, and an intelligent system-wide automation system to monitor and control the renewable energy devices then release the stored energy during the peak demand time. The original goal was to reduce peak demand from the electrical utility company, Rocky Mountain Power (RMP), by 3.4%. For a period of time we also sought to integrate our energy storage requirements with a flywheel storage system (500 kW) proposed for the Promontory/RMP Substation. Ultimately the flywheel storage system could not meet our project timetable, so the storage requirement was switched to a battery storage system (300 kW.) A secondary objective was to design/install a bi-directional customer/utility gateway application for real-time visibility and communications between RMP, and ATK. This objective was not achieved because of technical issues with RMP, ATK Information Technology Departments stringent requirements based on being a rocket motor manufacturing facility, and budget constraints. Of the original objectives, the following were achieved: Installation of a 100 kW wind turbine. Installation of a 300 kW battery storage system. Integrated control system installed to offset electrical demand by releasing stored energy from renewable sources during peak hours of the day. Control system also monitors the wind turbine and battery storage system health, power output, and issues critical alarms. Of the original objectives, the following were not achieved: 100 kW new technology waste heat generation unit. Bi-directional customer/utility gateway for real time visibility and communications between RMP and ATK. 3.4% reduction in peak demand. 1.7% reduction in peak demand was realized instead.

Jensen, Kevin

2014-09-30T23:59:59.000Z

27

Distributions: generators of observations What about reality?  

E-Print Network [OSTI]

Distributions: generators of observations What about reality? An example: homeopathy Conclusion Models, Estimation and Reality #12;Distributions: generators of observations What about reality? An example: homeopathy Conclusion 1. Distributions: generators of observations Statistical modelling is based

Hennig, Christian

28

GENERATING TEXT DESCRIPTIONS FOR GEOGRAPHICALLY DISTRIBUTED SENSORS  

E-Print Network [OSTI]

GENERATING TEXT DESCRIPTIONS FOR GEOGRAPHICALLY DISTRIBUTED SENSORS Martin Molina and Javier generation of geographic descriptions in natural language for geographically distributed sensors. We describe generation of geographic descriptions in natural language for geographically distributed sensors. We describe

Molina, Martín

29

Other Distributed Generation Technologies | Open Energy Information  

Open Energy Info (EERE)

Generation Technologies Incentives Retrieved from "http:en.openei.orgwindex.php?titleOtherDistributedGenerationTechnologies&oldid267183...

30

Definition: Distributed generation | Open Energy Information  

Open Energy Info (EERE)

generation generation Jump to: navigation, search Dictionary.png Distributed generation A term used by the power industry to describe localized or on-site power generation[1] View on Wikipedia Wikipedia Definition Distributed generation, also called on-site generation, dispersed generation, embedded generation, decentralized generation, decentralized energy or distributed energy, generates electricity from many small energy sources. Most countries generate electricity in large centralized facilities, such as fossil fuel, nuclear, large solar power plants or hydropower plants. These plants have excellent economies of scale, but usually transmit electricity long distances and can negatively affect the environment. Distributed generation allows collection of energy from many

31

Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study  

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

Mass Market Demand Response and Mass Market Demand Response and Mass Market Demand Response and Mass Market Demand Response and Variable Generation Integration Issues: Variable Generation Integration Issues: Variable Generation Integration Issues: Variable Generation Integration Issues: A Scoping Study A Scoping Study Peter Cappers, Andrew Mills, Charles Goldman, Ryan Wiser, Joseph H. Eto Report Summary October 2011 Energy Analysis Department  Electricity Markets and Policy Group 1 1 Presentation Overview Presentation Overview  Objectives and Approach  Variable Generation Resources and the Bulk Power System  Demand Response Opportunities  Demand Response as a Strategy to Integrate p gy g Variable Generation Resources  Comparison of Various Strategies to Integrate Variable Generation  Conclusions Energy Analysis Department  Electricity Markets and Policy Group

32

The potential contribution of small hydroelectric generation to meeting electrical demand on Vancouver Island.  

E-Print Network [OSTI]

??This work focuses on the electrical contribution small hydro generation can make to meeting Vancouver Island's electrical demand, today, and as further development proceeds. A (more)

Schuett, Matthew T.

2008-01-01T23:59:59.000Z

33

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

34

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

35

Distributed Coordination Schemes for Periodic Loads for Demand Side Management.  

E-Print Network [OSTI]

?? Demand side management (DSM) is a means to improve the energy efficiency, reduce the greenhouse gas emission, the consumers cost and the power grid (more)

Xia, Tian

2011-01-01T23:59:59.000Z

36

Pseudoabsence Generation Strategies for Species Distribution Models  

E-Print Network [OSTI]

Pseudoabsence Generation Strategies for Species Distribution Models Brice B. Hanberry1 *, Hong S: Pseudoabsence generation strategy completely affected the area predicted as present for species distribution) Pseudoabsence Generation Strategies for Species Distribution Models. PLoS ONE 7(8): e44486. doi:10.1371/ journal

He, Hong S.

37

Photo-Ionic Cells: Two Solutions to Store Solar Energy and Generate Electricity on Demand  

Science Journals Connector (OSTI)

Photo-Ionic Cells: Two Solutions to Store Solar Energy and Generate Electricity on Demand ... potential of solar energy all over the world is many times larger than the current total primary energy demanded. ... The magnitudes of the free energies derived from formal potentials are detd. ...

Manuel A. Mndez; Pekka Peljo; Michel D. Scanlon; Heron Vrubel; Hubert H. Girault

2014-02-27T23:59:59.000Z

38

"Greening" Industrial Steam Generation via On-demand Steam Systems  

E-Print Network [OSTI]

boiler technology currently in service in the U.S., it is critical to raise awareness and examine the role of emerging new technologies to address the energy and environmental challenges inherent with steam generation. In the same way that tank...

Smith, J. P.

2010-01-01T23:59:59.000Z

39

Air Quality Impact of Distributed Generation of Electricity  

E-Print Network [OSTI]

Distributed Generators .from a typical distributed generator. Therefore, there is aStations 3.3.1 Distributed Generators The physical

Jing, Qiguo

2011-01-01T23:59:59.000Z

40

Impacts of distributed generation on Smart Grid.  

E-Print Network [OSTI]

??With the concept of Smart Grid, there are high possibilities that the interconnection of distributed generation issues can be solved and minimised. This thesis discusses (more)

Hidayatullah, Nur Asyik

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Distributed Generation Dispatch Optimization under Various Electricity Tariffs  

E-Print Network [OSTI]

Distributed Generation Dispatch Optimization Under Various Electricity Tariffs which generatorsDistributed Generation Dispatch Optimization Under Various Electricity Tariffs no-DG The generator

Firestone, Ryan; Marnay, Chris

2007-01-01T23:59:59.000Z

42

Electricity Distribution Networks: Investment and Regulation, and Uncertain Demand  

E-Print Network [OSTI]

by the Department of Energy and Climate Change (DEEC) on an annual basis.6 5 Engineering Technical Report 115 (1988). 6 DECC Sub-national energy consumption statistics (http://www.decc.gov.uk/en/content... of non-domestic activity, which must be taken into account whilst forecasting non-domestic demand. 8 DECC Sub-national energy consumption statistics (http://www.decc.gov.uk/en/content...

Jamasb, Tooraj; Marantes, Cristiano

2011-01-31T23:59:59.000Z

43

Synthesis of Droop-Based Distributed Generators in a Micro Grid System  

Science Journals Connector (OSTI)

Distributed Generation (DG) systems are being increasingly favored for meeting the ever-growing demands of electrical energy and smart grids. Todays DG technologies include energy sources such as conventional...

Mahesh S. Illindala

2012-01-01T23:59:59.000Z

44

Distributed Generation: Which technologies? How fast will they emerge?  

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

Distributed Generation: Which technologies? How fast will they emerge? Distributed Generation: Which technologies? How fast will they emerge? Speaker(s): Tony DeVuono Date: March 16, 2000 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Julie Osborn Utility deregulation, environmental issues, increases in electricity demand, natural gas/electricity rate changes, new technologies, and several other key drivers are stimulating distributed generation globally. The technologies that have pushed ahead of the pack are micro turbines and fuel cells. Since Modine is a world leader in the manufacturing of heat transfer equipment, we are eager to play in this new, emerging market. Are the market drivers real? Will these technologies survive or even thrive? What are the pitfalls? If you had the responsibility in your company to spend millions and direct dozens of people down the DG path,

45

A reliability assessment methodology for distribution systems with distributed generation  

E-Print Network [OSTI]

Generation and Micro-Grid Networks. v TABLE OF CONTENTS CHAPTER Page I INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . 1 A. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 1 B. Distribution System Reliability... Generation and Micro-Grid Networks. v TABLE OF CONTENTS CHAPTER Page I INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . 1 A. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 1 B. Distribution System Reliability...

Duttagupta, Suchismita Sujaya

2006-08-16T23:59:59.000Z

46

Distributed Generation and Grid Interconnection  

Science Journals Connector (OSTI)

Thus far we have considered point compensation and the correction of the voltage or current at a particular location in the network. This chapter considers the voltage profile of lines with distributed loads a...

Arindam Ghosh; Gerard Ledwich

2002-01-01T23:59:59.000Z

47

Abatement of Air Pollution: Distributed Generators (Connecticut) |  

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

Distributed Generators (Connecticut) Distributed Generators (Connecticut) Abatement of Air Pollution: Distributed Generators (Connecticut) < 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 Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Connecticut Program Type Environmental Regulations Provider Department of Energy and Environmental Protection

48

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

49

On the performance of the base-stock inventory system under a compound Erlang demand distribution  

Science Journals Connector (OSTI)

Abstract In this paper, we propose a new method for determining the optimal base-stock level in a single echelon inventory system where the demand is a compound Erlang process and the lead-time is constant. The demand inter-arrival follows an Erlang distribution and the demand size follows a Gamma distribution. The stock is controlled according to a continuous review base-stock policy where unfilled demands are backordered. The optimal base-stock level is derived based on a minimization of the total expected inventory cost. A numerical investigation is conducted to analyze the performance of the inventory system with respect to the different system parameters and also to show the outperformance of the approach that is based on the compound Erlang demand assumption as compared to the classical Newsboy approach. This work allows insights to be gained on stock control related issues for both slow and fast moving stock keeping units.

S. Saidane; M.Z. Babai; M.S. Aguir; O. Korbaa

2013-01-01T23:59:59.000Z

50

Distributed Generation Investment by a Microgrid Under Uncertainty  

E-Print Network [OSTI]

option on natural gas generation, which increases in valueL ABORATORY Distributed Generation Investment by a MicrogridORMMES06 Distributed Generation Investment by a Microgrid

Siddiqui, Afzal; Marnay, Chris

2006-01-01T23:59:59.000Z

51

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

52

Modeling distributed generation in the buildings sectors  

Gasoline and Diesel Fuel Update (EIA)

Modeling distributed generation Modeling distributed generation in the buildings sectors August 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Modeling distributed generation in the buildings sectors i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. July 2013 U.S. Energy Information Administration | Modeling distributed generation in the buildings sectors 1

53

Distributed generation - the fuel processing example  

SciTech Connect (OSTI)

The increased costs of transportation and distribution are leading many commercial and industrial firms to consider the on-site generation for energy and other commodities used in their facilities. This trend has been accelerated by the development of compact, efficient processes for converting basic raw materials into finished services at the distributed sites. Distributed generation with the PC25{trademark} fuel cell power plant is providing a new cost effective technology to meet building electric and thermal needs. Small compact on-site separator systems are providing nitrogen and oxygen to many industrial users of these gases. The adaptation of the fuel processing section of the PC25 power plant for on-site hydrogen generation at industrial sites extends distributed generation benefits to the users of industrial hydrogen.

Victor, R.A. [Praxair, Inc., Tonawanda, NY (United States); Farris, P.J.; Maston, V. [International Fuel Cells Corp., South Windsor, CT (United States)

1996-12-31T23:59:59.000Z

54

Implementation of a Distributed Pseudorandom Number Generator  

Science Journals Connector (OSTI)

In parallel Monte Carlo simulations, it is highly desirable to have a system of pseudo-random number generators that has good statistical properties and allows ... processes. In this work, we discuss a distributed

Jian Chen; Paula Whitlock

1995-01-01T23:59:59.000Z

55

Regulatory Considerations for Developing Distributed Generation Projects  

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

Regulatory Considerations for Developing Distributed Generation Regulatory Considerations for Developing Distributed Generation Projects Webinar Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012 11:30AM to 1:00PM MDT The purpose of this webinar is to educate NRECA and APPA members, Tribes, and federal energy managers about a few of the regulatory issues that should be considered in developing business plans for distributed generation projects. This webinar is sponsored by the DOE Office of Indian Energy Policy and Programs, DOE Energy Efficiency and Renewable Energy Tribal Energy Program, Western Area Power Administration, DOE Federal Energy Management Program, DOE Office of Electricity Delivery and Energy Reliability, National Rural Electric Cooperative Association, and the American Public Power

56

Abstract --Due to the potentially large number of Distributed Energy Resources (DERs) demand response, distributed  

E-Print Network [OSTI]

to accurately estimate the transients caused by demand response is especially important to analyze the stability of the system under different demand response strategies, where dynamics on time scales of seconds to minutes demand response. The aggregated model efficiently includes statistical information of the population

Zhang, Wei

57

Distributed Generation Systems Inc | Open Energy Information  

Open Energy Info (EERE)

Distributed Generation Systems Inc Distributed Generation Systems Inc Name Distributed Generation Systems Inc Address 200 Union Blvd Place Lakewood, Colorado Zip 80228 Sector Wind energy Product Developer of electricity generation wind power facilities Website http://www.disgenonline.com/ Coordinates 39.718048°, -105.1324055° 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":39.718048,"lon":-105.1324055,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

58

2012 SG Peer Review - Recovery Act: Enhanced Demand and Distribution Management Regional Demonstration - Craig Miller, NRECA  

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

Enhanced Distribution and Demand Management Enhanced Distribution and Demand Management Regional Demonstration Craig Miller Cooperative Research Network National Rural Electric Cooperative Association 8 June 2012 December 2008 Project Title Objective Life-cycle Funding ($K) $68 million with match Hardware: $43 million Research: $11.6 Co-op Labor: $13.4 Technical Scope * 23 Co-ops, Distributed Nationally * 275,000 components deployed * Meters & DR * Distribution Automation * Infrastructure * In home displays and web portals * Demand response over AMI * Prepaid metering * Interactive thermal storage * Electrical storage (20x10kWh, 1MWh 0.5MWh) * Renewable energy * Smart feeder switching * Conservation voltage reduction * Advanced metering infrastructure * Meter data management * Communications infrastructure * SCADA To advance the deployment of the smart grid

59

FCT Technology Validation: Stationary/Distributed Generation Projects  

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

Stationary/Distributed Stationary/Distributed Generation Projects to someone by E-mail Share FCT Technology Validation: Stationary/Distributed Generation Projects on Facebook Tweet about FCT Technology Validation: Stationary/Distributed Generation Projects on Twitter Bookmark FCT Technology Validation: Stationary/Distributed Generation Projects on Google Bookmark FCT Technology Validation: Stationary/Distributed Generation Projects on Delicious Rank FCT Technology Validation: Stationary/Distributed Generation Projects on Digg Find More places to share FCT Technology Validation: Stationary/Distributed Generation Projects on AddThis.com... Home Transportation Projects Stationary/Distributed Generation Projects DOE Projects Non-DOE Projects Integrated Projects Quick Links Hydrogen Production

60

Distributed Generation Investment by a Microgrid under Uncertainty++++ Afzal Siddiqui  

E-Print Network [OSTI]

1 Distributed Generation Investment by a Microgrid under Uncertainty++++ Afzal Siddiqui University's decision to invest in a distributed generation (DG) unit fuelled by natural gas. While the long. KEYWORDS. OR in Energy; Distributed Generation; Real Options; Optimal Investment. 1. INTRODUCTION

Guillas, Serge

Note: This page contains sample records for the topic "demand distributed generation" 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

Consequences of Fault Currents Contributed by Distributed Generation  

E-Print Network [OSTI]

Consequences of Fault Currents Contributed by Distributed Generation Intermediate Project Report Currents Contributed by Distributed Generation Intermediate Report for the Project "New Implications in systems with distributed generation. The main concept described is that fault current throughout power

62

Is The Distributed Generation Revolution Coming: A Federal Perspective  

Office of Environmental Management (EM)

generation and transmission construction and retirements, energy efficiency and demand response programs, regional system plans, and the implications of federal and state...

63

Distributed Generation Investment by a Microgrid Under Uncertainty  

E-Print Network [OSTI]

flexibility. The DG investment opportunity is similar to aDistributed Generation Investment by a Microgrid Under06 Distributed Generation Investment by a Microgrid Under

Siddiqui, Afzal; Marnay, Chris

2006-01-01T23:59:59.000Z

64

Fuel Cell Comparison of Distributed Power Generation Technologies...  

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

Cell Comparison of Distributed Power Generation Technologies Fuel Cell Comparison of Distributed Power Generation Technologies This report examines backup power and prime power...

65

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

66

Abstract--Implementation of Distribution Automation (DA) and Demand Side Management (DSM) intended to serve both  

E-Print Network [OSTI]

Abstract--Implementation of Distribution Automation (DA) and Demand Side Management (DSM) intended, requires a wide-area two-way communication system. DA and DSM devices (customer meters, switches, etc for both DA/DSM applications can be met. And a scheduling policy is proposed to provide the applications

Paris-Sud XI, Université de

67

Composition and On Demand Deployment of Distributed Brain Activity Analysis Application on Global Grids  

E-Print Network [OSTI]

1 Composition and On Demand Deployment of Distributed Brain Activity Analysis Application on Global are brain science and high-energy physics. The analysis of brain activity data gathered from the MEG and analyze brain functions and requires access to large-scale computational resources. The potential platform

Abramson, David

68

Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study  

SciTech Connect (OSTI)

This scoping study focuses on the policy issues inherent in the claims made by some Smart Grid proponents that the demand response potential of mass market customers which is enabled by widespread implementation of Advanced Metering Infrastructure (AMI) through the Smart Grid could be the silver bullet for mitigating variable generation integration issues. In terms of approach, we will: identify key issues associated with integrating large amounts of variable generation into the bulk power system; identify demand response opportunities made more readily available to mass market customers through widespread deployment of AMI systems and how they can affect the bulk power system; assess the extent to which these mass market Demand Response (DR) opportunities can mitigate Variable Generation (VG) integration issues in the near-term and what electricity market structures and regulatory practices could be changed to further expand the ability for DR to mitigate VG integration issues over the long term; and provide a qualitative comparison of DR and other approaches to mitigate VG integration issues.

Cappers, Peter; Mills, Andrew; Goldman, Charles; Wiser, Ryan; Eto, Joseph H.

2011-09-10T23:59:59.000Z

69

Further exploring the potential of residential demand response programs in electricity distribution  

Science Journals Connector (OSTI)

Abstract Smart grids play a key role in realizing climate ambitions. Boosting consumption flexibility is an essential measure in bringing the potential gains of smart grids to fruition. The collective scientific understanding of demand response programs argues that time-of-use tariffs have proven its merits. The findings upon which this conclusion rests are, however, primarily derived from studies covering energy-based time-of-use rates over fairly short periods of time. Hence, this empirical study set out with the intention of estimating the extent of response to a demand-based time-of-use electricity distribution tariff among Swedish single-family homes in the long term. The results show that six years after the implementation households still respond to the price signals of the tariff by cutting demand in peak hours and shifting electricity consumption from peak to off-peak hours. Studies conducted in the Nordic countries commonly include only homeowners and so another aim of the study was to explore the potential of demand response programs among households living in apartment buildings. The demand-based tariff proved to bring about similar, but not as marked, effects in rental apartments, whereas there are virtually no corresponding evidences of demand response in condominium apartments.

Cajsa Bartusch; Karin Alvehag

2014-01-01T23:59:59.000Z

70

Efficient Generation of PH-distributed Random Gabor Horvath2  

E-Print Network [OSTI]

Efficient Generation of PH-distributed Random Variates G´abor Horv´ath2 , Philipp Reinecke1 , Mikl approaches. Simulations require the efficient generation of random variates from PH distributions. PH generation of PH distributed variates. Key words: PH distribution, pseudo random number generation. 1

Telek, Miklós

71

A distributed demand-side management framework for the smart grid  

Science Journals Connector (OSTI)

Abstract This paper proposes a fully distributed Demand-Side Management system for Smart Grid infrastructures, especially tailored to reduce the peak demand of residential users. In particular, we use a dynamic pricing strategy, where energy tariffs are function of the overall power demand of customers. We consider two practical cases: (1) a fully distributed approach, where each appliance decides autonomously its own scheduling, and (2) a hybrid approach, where each user must schedule all his appliances. We analyze numerically these two approaches, showing that they are characterized practically by the same performance level in all the considered grid scenarios. We model the proposed system using a non-cooperative game theoretical approach, and demonstrate that our game is a generalized ordinal potential one under general conditions. Furthermore, we propose a simple yet effective best response strategy that is proved to converge in a few steps to a pure Nash Equilibrium, thus demonstrating the robustness of the power scheduling plan obtained without any central coordination of the operator or the customers. Numerical results, obtained using real load profiles and appliance models, show that the system-wide peak absorption achieved in a completely distributed fashion can be reduced up to 55%, thus decreasing the capital expenditure (CAPEX) necessary to meet the growing energy demand.

Antimo Barbato; Antonio Capone; Lin Chen; Fabio Martignon; Stefano Paris

2014-01-01T23:59:59.000Z

72

Property:Distributed Generation System Power Application | Open Energy  

Open Energy Info (EERE)

Application Application Jump to: navigation, search This is a property of type Page. Pages using the property "Distributed Generation System Power Application" Showing 21 pages using this property. D Distributed Generation Study/10 West 66th Street Corp + Based Load + Distributed Generation Study/Aisin Seiki G60 at Hooligans Bar and Grille + Based Load + Distributed Generation Study/Arrow Linen + Based Load + Distributed Generation Study/Dakota Station (Minnegasco) + Based Load +, Backup + Distributed Generation Study/Elgin Community College + Based Load +, Backup + Distributed Generation Study/Emerling Farm + Based Load + Distributed Generation Study/Floyd Bennett + Based Load + Distributed Generation Study/Harbec Plastics + Based Load + Distributed Generation Study/Hudson Valley Community College + Based Load +

73

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

74

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices  

DOE Patents [OSTI]

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.

Chassin, David P. (Pasco, WA); Donnelly, Matthew K. (Kennewick, WA); Dagle, Jeffery E. (Richland, WA)

2006-12-12T23:59:59.000Z

75

Automatically Generating Symbolic Prefetches for Distributed Transactional Memories  

E-Print Network [OSTI]

Automatically Generating Symbolic Prefetches for Distributed Transactional Memories Alokika Dash static compiler analysis that can automatically generate symbolic prefetches for distributed applications and Brian Demsky University of California, Irvine Abstract. Developing efficient distributed applications

Boyer, Edmond

76

Compiler Techniques for Determining Data Distribution and Generating Communication Sets on DistributedMemory Multicomputers 1  

E-Print Network [OSTI]

Compiler Techniques for Determining Data Distribution and Generating Communication Sets and generating communication sets on distributed memory multicomputers. First, we propose a dynamic programming; 1 Introduction Arrays distribution and communication sets generation are two problems we must solve

Chen, Sheng-Wei

77

Future scenarios and trends in energy generation in brazil: supply and demand and mitigation forecasts  

Science Journals Connector (OSTI)

Abstract The structure of the Brazilian energy matrix defines Brazil as a global leader in power generation from renewable sources. In 2011, the share of renewable sources in electricity production reached 88.8%, mainly due to the large national water potential. Although the Brazilian energy model presents a strong potential for expansion, the total energy that could be used with most current renewable technologies often outweighs the national demand. The current composition of the national energy matrix has outstanding participation of hydropower, even though the country has great potential for the exploitation of other renewable energy sources such as wind, solar and biomass. This document therefore refers to the trend of evolution of the Brazilian Energy Matrix and exposes possible mitigation scenarios, also considering climate change. The methodology to be used in the modeling includes the implementation of the LEAP System (Long-range Energy Alternatives Planning) program, developed by the Stockholm Environment Institute, which allows us to propose different scenarios under the definition of socioeconomic scenarios and base power developed in the context of the REGSA project (Promoting Renewable Electricity Generation in South America). Results envision future scenarios and trends in power generation in Brazil, and the projected demand and supply of electricity for up to 2030.

Jos Baltazar Salgueirinho Osrio De Andrade Guerra; Luciano Dutra; Norma Beatriz Camiso Schwinden; Suely Ferraz de Andrade

2014-01-01T23:59:59.000Z

78

An Optimized Adaptive Protection Scheme for Distribution Systems Penetrated with Distributed Generators  

Science Journals Connector (OSTI)

An intelligent adaptive protection scheme for distribution systems penetrated with distributed generators is proposed in this chapter. The scheme...

Ahmed H. Osman; Mohamed S. Hassan

2014-01-01T23:59:59.000Z

79

Property:Distributed Generation System Enclosure | Open Energy Information  

Open Energy Info (EERE)

System Enclosure System Enclosure Jump to: navigation, search This is a property of type String. The allowed values for this property are: Indoor Outdoor Dedicated Shelter Pages using the property "Distributed Generation System Enclosure" Showing 22 pages using this property. D Distributed Generation Study/10 West 66th Street Corp + Indoor + Distributed Generation Study/615 kW Waukesha Packaged System + Outdoor + Distributed Generation Study/Aisin Seiki G60 at Hooligans Bar and Grille + Outdoor + Distributed Generation Study/Arrow Linen + Outdoor + Distributed Generation Study/Dakota Station (Minnegasco) + Outdoor + Distributed Generation Study/Elgin Community College + Indoor + Distributed Generation Study/Emerling Farm + Dedicated Shelter + Distributed Generation Study/Floyd Bennett + Outdoor +

80

Consequences of Fault Currents Contributed by Distributed Generation  

E-Print Network [OSTI]

Consequences of Fault Currents Contributed by Distributed Generation Supplemental Project Report Currents Contributed by Distributed Generation Natthaphob Nimpitiwan Gerald Heydt Research Project Team distributed generation (DG) is growing in the over- all generation mix due in part to state and national

Note: This page contains sample records for the topic "demand distributed generation" 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

Reducing the Cost of Generating APH-distributed Random Numbers  

E-Print Network [OSTI]

Reducing the Cost of Generating APH-distributed Random Numbers Philipp Reinecke1 , Mikl´os Telek2 for generating PH-distributed random numbers. In this work, we discuss algorithms for generating random numbers from PH distributions and propose two algorithms for reducing the cost associated with generating

Telek, Miklós

82

Advanced Distributed Generation LLC | Open Energy Information  

Open Energy Info (EERE)

LLC LLC Jump to: navigation, search Name Advanced Distributed Generation LLC Address 200 West Scott Park Drive, MS # 410 Place Toledo, Ohio Zip 43607 Sector Solar Product Agriculture; Consulting; Installation; Maintenance and repair; Retail product sales and distribution Phone number 419-725-3401 Website http://www.advanced-dg.com Coordinates 41.6472294°, -83.5975882° 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":41.6472294,"lon":-83.5975882,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

83

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network [OSTI]

Energy Resources and Demand Response under Uncertainty AfzalEnergy Resources and Demand Response under Uncertainty ?DER in conjunction with demand response (DR): the expected

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

84

Renewable generation and demand response integration in micro-grids: development of a new energy management and control system  

Science Journals Connector (OSTI)

The aim of this research resides in the development of an energy management and control system to control a micro-grid based on the use of renewable generation and demand resources to introduce the application of...

Carlos lvarez-Bel; Guillermo Escriv-Escriv; Manuel Alczar-Ortega

2013-11-01T23:59:59.000Z

85

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

Science Journals Connector (OSTI)

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

Mahdi Samadi; Mohammad Hossein Javidi

2013-12-01T23:59:59.000Z

86

Property:Distributed Generation System Application | Open Energy  

Open Energy Info (EERE)

System Application System Application Jump to: navigation, search This is a property of type Page. Pages using the property "Distributed Generation System Application" Showing 22 pages using this property. D Distributed Generation Study/10 West 66th Street Corp + Combined Heat and Power + Distributed Generation Study/615 kW Waukesha Packaged System + Combined Heat and Power + Distributed Generation Study/Aisin Seiki G60 at Hooligans Bar and Grille + Combined Heat and Power + Distributed Generation Study/Arrow Linen + Combined Heat and Power + Distributed Generation Study/Dakota Station (Minnegasco) + Combined Heat and Power + Distributed Generation Study/Elgin Community College + Combined Heat and Power + Distributed Generation Study/Emerling Farm + Combined Heat and Power +

87

Property:Distributed Generation Prime Mover | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Distributed Generation Prime Mover Jump to: navigation, search Property Name Distributed Generation Prime Mover Property Type Page Description Make and model of power sources. Pages using the property "Distributed Generation Prime Mover" Showing 22 pages using this property. D Distributed Generation Study/10 West 66th Street Corp + Ingersoll Rand I-R PowerWorks 70 + Distributed Generation Study/615 kW Waukesha Packaged System + Waukesha VGF 36GLD + Distributed Generation Study/Aisin Seiki G60 at Hooligans Bar and Grille + Aisin Seiki G60 + Distributed Generation Study/Arrow Linen + Coast Intelligen 150-IC with ECS + Distributed Generation Study/Dakota Station (Minnegasco) + Capstone C30 +

88

2012 CERTS R&M Peer Review - Summary: Evaluating the Effects of Managing Controllable Demand and Distributed Energy - Tim Mount  

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

the Effects of Managing Controllable Demand and Distributed Energy the Effects of Managing Controllable Demand and Distributed Energy Resources Locally on System Performance and Costs Project Lead: Tim Mount, Alejandro D. Dominguez-Garcia, Ray Zimmerman 1. Project Objective The objective of this project is to use the new multi-period version of the Cornell SuperOPF to analyze the system and economic effects of having high penetrations of renewable energy on a network and to determine effective ways to mitigate the inherent variability of these sources. With the new capabilities of the SuperOPF, it will now be possible to evaluate the effects of shifting demand from peak to off-peak periods. Previous research has shown that higher penetrations of renewables are associated with higher annual costs for conventional installed generating capacity ($/MW/Year) due to

89

Distributed Generation with Heat Recovery and Storage  

E-Print Network [OSTI]

selection of on-site power generation with combined heat andTotal Electricity Generation Figure 13. Small MercantileWeekday Total Electricity Generation (No Storage Adoption

Siddiqui, Afzal S.; Marnay, Chris; Firestone, Ryan M.; Zhou, Nan

2008-01-01T23:59:59.000Z

90

A DISTRIBUTED SHARED KEY GENERATION PROCEDURE USING FRACTIONAL KEYS  

E-Print Network [OSTI]

A DISTRIBUTED SHARED KEY GENERATION PROCEDURE USING FRACTIONAL KEYS R. Poovendran, M. S. Corson, J}@isr.umd.edu ABSTRACT W e present a new class of distributed key generation and recovery algorithms suitable for group) with a Group Con- troller (GC) which can generate and distribute the keys. However, in these approaches

Baras, John S.

91

Generating Probability Distributions using Multivalued Stochastic Relay Circuits  

E-Print Network [OSTI]

Generating Probability Distributions using Multivalued Stochastic Relay Circuits David Lee Dept as well as for generating arbitrary distributions from unbiased bits. An equally interesting, but less networks that generate arbitrary probability distributions in an optimal way? In this paper, we study

Bruck, Jehoshua (Shuki)

92

Learning to model sequences generated by switching distributions Yoav Freund  

E-Print Network [OSTI]

Learning to model sequences generated by switching distributions Yoav Freund AT&T Bell Labs 600 distributions learning problem. A sequence S = oe 1 oe 2 : : : oe n , over a finite alphabet \\Sigma is generated run is generated by independent random draws from a distribution ~ p i over \\Sigma, where ~p i

Freund, Yoav

93

ON RANDOM VARIATE GENERATION FOR THE GENERALIZED HYPERBOLIC SECANT DISTRIBUTIONS  

E-Print Network [OSTI]

ON RANDOM VARIATE GENERATION FOR THE GENERALIZED HYPERBOLIC SECANT DISTRIBUTIONS Luc Devroye School distribution. Finally, we give a generator for the nef--ghs distribution. There are, of course, two things we of Computer Science McGill University Abstract. We give random variate generators for the generalized

Devroye, Luc

94

A FULLY DISTRIBUTED PRIME NUMBERS GENERATION USING THE WHEEL SIEVE  

E-Print Network [OSTI]

A FULLY DISTRIBUTED PRIME NUMBERS GENERATION USING THE WHEEL SIEVE Gabriel Paillard Laboratoire d distributed approach for generating all prime numbers up to a given limit. From Er- atosthenes, who elaborated. In this work, we propose a new distributed algorithm which generates all prime num- bers in a given finite

Paris-Sud XI, Université de

95

Practical Stability Assessement of Distributed Synchronous Generators Under Load Variations  

E-Print Network [OSTI]

Practical Stability Assessement of Distributed Synchronous Generators Under Load Variations Roman the practical stability of distribution systems with synchronous generators subject to changes in the system a mathematical model of the distribution system with synchronous generators in the form of a switched affine

Pota, Himanshu Roy

96

Poisson Distributed Noise Generation for Spiking Neural Applications  

E-Print Network [OSTI]

Poisson Distributed Noise Generation for Spiking Neural Applications Katherine Cameron, Thomas neural networks. However, it can be difficult to generate large truly random spike distributions which as randomly firing and a matlab generated Poisson distributed noise source. A hazard function shows

Cameron, Katherine

97

Our Data, Ourselves: Privacy via Distributed Noise Generation  

E-Print Network [OSTI]

Our Data, Ourselves: Privacy via Distributed Noise Generation Cynthia Dwork1 , Krishnaram of the noise generation is to create a distributed implemen- tation of the privacy-preserving statistical. The generation of Gaussian noise introduces a technique for distributing shares of many unbiased coins with fewer

Chang, Edward Y.

98

Integrating Small Scale Distributed Generation into a Deregulated Market: Control Strategies and Price Feedback  

E-Print Network [OSTI]

Small scale power generating technologies, such as gas turbines, small hydro turbines, photovoltaics, wind turbines and fuel cells, are gradually replacing conventional generating technologies, for various applications, in the electric power system. The industry restructuring process in the United States is exposing the power sector to market forces, which is creating competitive structures for generation and alternative regulatory structures for the transmission and distribution systems. The potentially conflicting economic and technical demands of the new, independent generators introduce a set of significant uncertainties. What balance between market forces and centralized control will be found to coordinate distribution system operations? How will the siting of numerous small scale generators in distribution feeders impact the technical operations and control of the distribution system? Who will provide ancillary services (such as voltage support and spinning reserves) in the new competitive environment? This project investigates both the engineering and market integration of distributed generators into the distribution system. On the technical side, this project investigates the frequency performance of a distribution system that has multiple small scale generators. Using IEEE sample distribution systems and new dynamic generator models, this project develops general methods for

Judith Cardell; Marija Ili?; Richard D. Tabors

1997-01-01T23:59:59.000Z

99

Distributed Generation Technologies DGT | Open Energy Information  

Open Energy Info (EERE)

DGT DGT Jump to: navigation, search Name Distributed Generation Technologies (DGT) Place Ithaca, New York Zip 14850 Product Commercializing a technology to convert organic waste into pure and compressed methane gas via anaerobic digestion. Coordinates 39.93746°, -84.553194° 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":39.93746,"lon":-84.553194,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

100

An integrated assessment of global and regional water demands for electricity generation to 2095  

SciTech Connect (OSTI)

Electric power plants currently account for approximately one-half of the global industrial water withdrawal. While continued expansion of the electric sector seems likely into the future, the consequent water demands are quite uncertain, and will depend on highly variable water intensities by electricity technologies, at present and in the future. Using GCAM, an integrated assessment model of energy, agriculture, and climate change, we first establish lower-bound, median, and upper-bound estimates for present-day electric sector water withdrawals and consumption by individual electric generation technologies in each of 14 geopolitical regions, and compare them with available estimates of regional industrial or electric sector water use. We then explore the evolution of global and regional electric sector water use over the next century, focusing on uncertainties related to withdrawal and consumption intensities for a variety of electric generation technologies, rates of change of power plant cooling system types, and rates of adoption of a suite of water-saving technologies. Results reveal that the water withdrawal intensity of electricity generation is likely to decrease in the near term with capital stock turnover, as wet towers replace once-through flow cooling systems and advanced electricity generation technologies replace conventional ones. An increase in consumptive use accompanies the decrease in water withdrawal rates; however, a suite of water conservation technologies currently under development could compensate for this increase in consumption. Finally, at a regional scale, water use characteristics vary significantly based on characteristics of the existing capital stock and the selection of electricity generation technologies into the future.

Davies, Evan; Kyle, G. Page; Edmonds, James A.

2013-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study  

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

63E 63E Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study Peter Cappers, Andrew Mills, Charles Goldman, Ryan Wiser, Joseph H. Eto Environmental Energy Technologies Division October 2011 The work described in this report was funded by the Permitting, Siting and Analysis Division of the U.S. Department of Energy's Office of Electricity Delivery and Energy Reliability under Lawrence Berkeley National Laboratory Contract No. DE-AC02- 05CH11231. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the

102

SOFC combined cycle systems for distributed generation  

SciTech Connect (OSTI)

The final phase of the tubular SOFC development program will focus on the development and demonstration of pressurized solid oxide fuel cell (PSOFC)/gas turbine (GT) combined cycle power systems for distributed power applications. The commercial PSOFC/GT product line will cover the power range 200 kWe to 50 MWe, and the electrical efficiency for these systems will range from 60 to 75% (net AC/LHV CH4), the highest of any known fossil fueled power generation technology. The first demonstration of a pressurized solid oxide fuel cell/gas turbine combined cycle will be a proof-of-concept 250 kWe PSOFC/MTG power system consisting of a single 200 kWe PSOFC module and a 50 kWe microturbine generator (MTG). The second demonstration of this combined cycle will be 1.3 MWe fully packaged, commercial prototype PSOFC/GT power system consisting of two 500 kWe PSOFC modules and a 300 kWe gas turbine.

Brown, R.A.

1997-05-01T23:59:59.000Z

103

Optimal Tariff Period Determination Cost of electricity generation is closely related to system demand. In general, the  

E-Print Network [OSTI]

Optimal Tariff Period Determination Cost of electricity generation is closely related to system setting is giving signal to customers the time variant cost of supplying electricity. Since the costs demand. In general, the generation cost is higher during system peak period, and vice versa. In Hong Kong

104

Abstract--Electrical Distribution Systems (EDS) are facing ever-increasing complexity due to fast growing demand and large  

E-Print Network [OSTI]

operation. As such Electrical Distribution Systems will require new planning strategies and tools, new1 Abstract-- Electrical Distribution Systems (EDS) are facing ever-increasing complexity due to fast growing demand and large amount of distributed energy resources integration. The conventional

Paris-Sud XI, Université de

105

Overview of Options to Integrate Stationary Power Generation from Fuel Cells with Hydrogen Demand for the Transportation Sector  

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

Overview of Options to Integrate Stationary Overview of Options to Integrate Stationary Power Generation from Fuel Cells with Hydrogen Demand for the Transportation Sector Overview of Options to Integrate Stationary Overview of Options to Integrate Stationary Power Generation from Fuel Cells with Power Generation from Fuel Cells with Hydrogen Demand for the Transportation Hydrogen Demand for the Transportation Sector Sector Fred Joseck U.S. DOE Hydrogen Program Transportation and Stationary Power Integration Workshop (TSPI) Transportation and Stationary Power Transportation and Stationary Power Integration Workshop (TSPI) Integration Workshop (TSPI) Phoenix, Arizona October 27, 2008 2 Why Integration? * Move away from conventional thinking...fuel and power generation/supply separate * Make dramatic change, use economies of scale,

106

Property:Distributed Generation System Heating-Cooling Application | Open  

Open Energy Info (EERE)

Heating-Cooling Application Heating-Cooling Application Jump to: navigation, search This is a property of type Page. Pages using the property "Distributed Generation System Heating-Cooling Application" Showing 21 pages using this property. D Distributed Generation Study/10 West 66th Street Corp + Domestic Hot Water +, Space Heat and/or Cooling + Distributed Generation Study/Aisin Seiki G60 at Hooligans Bar and Grille + Domestic Hot Water + Distributed Generation Study/Arrow Linen + Domestic Hot Water + Distributed Generation Study/Dakota Station (Minnegasco) + Space Heat and/or Cooling +, Other + Distributed Generation Study/Elgin Community College + Space Heat and/or Cooling +, Domestic Hot Water + Distributed Generation Study/Emerling Farm + Domestic Hot Water +, Process Heat and/or Cooling +

107

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

108

A Foundation of Demand-Side Resource Management in Distributed Systems  

Science Journals Connector (OSTI)

The theoretical problems of demand-side management are examined in without regard to the type of resource whose demand is to be managed, and the Maximum Demand problem is identified and addressed in a ... resourc...

Shrisha Rao

2010-01-01T23:59:59.000Z

109

Optimum Generation Scheduling Based Dynamic Price Making for Demand Response in a Smart Power Grid  

Science Journals Connector (OSTI)

Smart grid is a recently growing area of research including optimum and reliable operation of bulk power grid from production to end-user premises. Demand side activities like demand response (DR) for enabling co...

Nikolaos G. Paterakis; Ozan Erdinc

2014-01-01T23:59:59.000Z

110

Enhancing reliability in passive anti-islanding protection schemes for distribution systems with distributed generation.  

E-Print Network [OSTI]

??This thesis introduces a new approach to enhance the reliability of conventional passive anti-islanding protection scheme in distribution systems embedding distributed generation. This approach uses (more)

Sheikholeslamzadeh, Mohsen

2012-01-01T23:59:59.000Z

111

Optimal Algorithms for Generating Discrete Random Variables with Changing Distributions  

E-Print Network [OSTI]

Optimal Algorithms for Generating Discrete Random Variables with Changing Distributions T. Hagerup arithmetic and the floor function, 3. generating a uniformly distributed real number between 0 and 1 K. Mehlhorn I. Munro Abstract We give optimal algorithms for generating discrete random variables

Mehlhorn, Kurt

112

Marking in Combinatorial Constructions: Generating Functions and Limiting Distributions  

E-Print Network [OSTI]

Marking in Combinatorial Constructions: Generating Functions and Limiting Distributions Michael generating function y(x) = P ynx n for the numbers yn of objects of size n and the bivariate generating of this paper is to provide general methods to obtain the asymptotic limiting distribution of this additional

Drmota, Michael

113

Distributions of permutations generated by inhomogeneous Markov chains  

E-Print Network [OSTI]

Distributions of permutations generated by inhomogeneous Markov chains Diplomarbeit von Thomas 72 C Matlab - code for MCIT generated distributions 74 D Maple - code for the number of non for distributions of Bernoulli trials . . . . . . . . . . . . . . . 4 2.2.2 MCIT for quality control schemes

Neininger, Ralph

114

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

115

Distributed Generation with Heat Recovery and Storage  

E-Print Network [OSTI]

of fossil fuel sources of waste heat and other lossesthat this is only the waste heat from fossil generation,an estimate of the total waste heat from fossil generation

Siddiqui, Afzal S.; Marnay, Chris; Firestone, Ryan M.; Zhou, Nan

2008-01-01T23:59:59.000Z

116

Impact of Distributed Generation and Series Compensation on Distribution Network  

E-Print Network [OSTI]

are investigated. A doubly-fed induction generator (DFIG)-based DG unit and a series capacitor (SC) and a thyristor DFIG units. The converter of the DFIG is modeled as an unbalanced harmonic-generating source

Pota, Himanshu Roy

117

On Optimization of Reliability of Distributed Generation-Enhanced Feeders  

Science Journals Connector (OSTI)

Placement of protection devices in a conventionalfeeder (without distributed generation) is often performedso as to minimize traditional reliability indices (SAIDI,SAIFI, MAIFIe...), assuming the sole source(s) of energyat substation(s). Distributed ...

A. Pregelj; M. Begovic; A. Rohatgi; D. Novosel

2003-01-01T23:59:59.000Z

118

Generation Scheduling for Power Systems with Demand Response and a High Penetration of Wind Energy.  

E-Print Network [OSTI]

??With renewable energy sources and demand response programs expanding in many power systems, traditional unit commitment and economic dispatch approaches are inadequate. The power system (more)

Liu, Guodong

2014-01-01T23:59:59.000Z

119

Distributed Renewable Energy Generation and Landscape Architecture: A Critical Review.  

E-Print Network [OSTI]

??Governments and utility organizations around the world have mandated and provided incentives for new distributed renewable energy generation (DREG) capacity, and market projections indicate strong (more)

Beck, Osmer DeVon

2010-01-01T23:59:59.000Z

120

Distributed Generation Study/Patterson Farms CHP System Using...  

Open Energy Info (EERE)

Biogas < Distributed Generation Study Jump to: navigation, search Study Location Auburn, New York Site Description Agricultural Study Type Field Test Technology Internal Combustion...

Note: This page contains sample records for the topic "demand distributed generation" 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

CleanDistributedGeneration.pdf | Department of Energy  

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

anDistributedGeneration.pdf More Documents & Publications Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004 CHP Assessment, California Energy...

122

Distributed Generation Investment by a Microgrid under Uncertainty  

E-Print Network [OSTI]

KM. Distributed generation investment and upgrade underin gas fired power plant investments. Review of Financial13] Dixit AK, Pindyck RS. Investment under uncertainty.

Siddiqui, Afzal

2008-01-01T23:59:59.000Z

123

Stationary/Distributed Generation Projects | Department of Energy  

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

for fuel cells. Stationary fuel cell units are used for backup power, power for remote locations, stand-alone power plants for towns and cities, distributed generation...

124

Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed Internet Data Centers  

E-Print Network [OSTI]

Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed a major part of their running costs. Modern electric power grid provides a feasible way to dynamically and efficiently manage the electricity cost of distributed IDCs based on the Locational Marginal Pricing (LMP

Rahman, A.K.M. Ashikur

125

Distributed Generation with Heat Recovery and Storage  

E-Print Network [OSTI]

most commercial buildings, electricity costs far exceed heatoffset by lower electricity costs from on- site generation (as much from lower electricity costs as it does from lower

Siddiqui, Afzal S.; Marnay, Chris; Firestone, Ryan M.; Zhou, Nan

2008-01-01T23:59:59.000Z

126

Renewable Energy: Distributed Generation Policies and Programs...  

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

resources. Net Metering State net metering policies allow customers to produce onsite electricity and sell excess generation to the utility at a set price, which creates an...

127

The Costs, Air Quality, and Human Health Effects of Meeting Peak Electricity Demand with Installed Backup Generators  

Science Journals Connector (OSTI)

E.G. thanks John Dawson, Rob Pinder, and Pavan Racherla for assistance with the PMCAMx model, and Janet Joseph, Peter Savio, and Gunnar Walmet from NYSERDA for useful information about backup generators and emergency demand response programs in New York City. ...

Elisabeth A. Gilmore; Lester B. Lave; Peter J. Adams

2006-10-21T23:59:59.000Z

128

Low-cost distributed solar-thermal-electric power generation  

E-Print Network [OSTI]

Low-cost distributed solar-thermal-electric power generation A. Der Minassians, K. H. Aschenbach and feasibility study of a low-cost solar thermal electricity generation technology, suitable for distributed: Solar Thermal Collectors, Solar Thermal Electricity, Stirling Engine 1. INTRODUCTION In this paper, we

Sanders, Seth

129

Generating Efficient Tiled Code for Distributed Memory Machines and Jingling Xue  

E-Print Network [OSTI]

Generating Efficient Tiled Code for Distributed Memory Machines Peiyi Tang and Jingling Xue issues are addressed: computation and data distribution, message-passing code generation, memory man Generate SPMD Code Computation Distribution Data Distribution Message-Passing Code Generation

Tang, Peiyi

130

Distributed Generation with Heat Recovery and Storage  

E-Print Network [OSTI]

power generation with combined heat and power applications,of carbon tax on combined heat and power adoption by a131(1), 2-25. US Combined Heat and Power Association (

Siddiqui, Afzal S.; Marnay, Chris; Firestone, Ryan M.; Zhou, Nan

2008-01-01T23:59:59.000Z

131

Distributed Generation in Buildings (released in AEO2005)  

Reports and Publications (EIA)

Currently, distributed generation provides a very small share of residential and commercial electricity requirements in the United States. The Annual Energy Outlook 2005 reference case projects a significant increase in electricity generation in the buildings sector, but distributed generation is expected to remain a small contributor to the sectors energy needs. Although the advent of higher energy prices or more rapid improvement in technology could increase the use of distributed generation relative to the reference case projection, the vast majority of electricity used in buildings is projected to continue to be purchased from the grid.

2008-01-01T23:59:59.000Z

132

ARPA-E Announces $30 Million for Distributed Generation Technologies |  

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

30 Million for Distributed Generation 30 Million for Distributed Generation Technologies ARPA-E Announces $30 Million for Distributed Generation Technologies November 25, 2013 - 1:00pm Addthis NEWS MEDIA CONTACT (202) 586-4940 WASHINGTON - Today, the Department of Energy announced up to $30 million in Advanced Research Projects Agency - Energy (ARPA-E) funding for a new program focused on the development of transformational electrochemical technologies to enable low-cost distributed power generation. ARPA-E's Reliable Electricity Based on ELectrochemical Systems (REBELS) program will develop fuel cell technology for distributed power generation to improve grid stability, increase energy security, and balance intermittent renewable technologies while reducing CO2 emissions associated with current

133

The Value of Distributed Generation (DG) under Different Tariff Structures  

Open Energy Info (EERE)

The Value of Distributed Generation (DG) under Different Tariff Structures The Value of Distributed Generation (DG) under Different Tariff Structures Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Value of Distributed Generation (DG) under Different Tariff Structures Focus Area: Renewable Energy Topics: Socio-Economic Website: eetd.lbl.gov/ea/emp/reports/60589.pdf Equivalent URI: cleanenergysolutions.org/content/value-distributed-generation-dg-under Language: English Policies: "Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. Regulations: Utility/Electricity Service Costs This report examines the standby tariff structures recently implemented in New York as a result of utilities feelings toward distributed generation

134

Economic and sensitivity analyses of dynamic distributed generation dispatch to reduce building energy cost  

Science Journals Connector (OSTI)

Abstract The practicality of any particular distributed generation (DG) installation depends upon its ability to reduce overall energy costs. A parametric study summarizing DG performance capabilities is developed using an economic dispatch strategy that minimizes building energy costs. Various electric rate structures are considered and applied to simulate meeting various measured building demand dynamics for heat and power. A determination of whether investment in DG makes economic sense is developed using a real-time dynamic dispatch and control strategy to meet real building demand dynamics. Under the economic dispatch strategy, capacity factor is influenced by DG electrical efficiency, operations and maintenance cost, and fuel price. Under a declining block natural gas rate structure, a large local thermal demand improves DG economics. Increasing capacity for DG that produces low cost electricity increases savings, but installing further capacity beyond the average building electrical demand reduces savings. For DG that produces high cost electricity, reducing demand charges can produce savings. Heat recovery improves capacity factor and DG economics only if thermal and electrical demand is coincident and DG heat is utilized. Potential DG economic value can be improved or impaired depending upon how the utility electricity cost is determined.

Robert J. Flores; Brendan P. Shaffer; Jacob Brouwer

2014-01-01T23:59:59.000Z

135

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

136

Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response  

Science Journals Connector (OSTI)

Abstract The high penetration of both Distributed Energy Resources (DER) and Demand Response (DR) in modern power systems requires a sequence of advanced strategies and technologies for maintaining system reliability and flexibility. Real-time electricity markets (RTM) are the non-discriminatory transaction platforms for providing necessary balancing services, where the market clearing (nodal or zonal prices depending on markets) is very close to real time operations of power systems. One of the primary functions of \\{RTMs\\} in modern power systems is establishing an efficient and effective mechanism for small DER and DR to participate in balancing market transactions, while handling their meteorological or intermittent characteristics, facilitating asset utilization, and stimulating their active responses. Consequently, \\{RTMs\\} are dedicated to maintaining the flexibility and reliability of power systems. This paper reviews advanced typical \\{RTMs\\} respectively in the North America, Australia and Europe, focusing on their market architectures and incentive policies for integrating DER and DR in electricity markets. In this paper, \\{RTMs\\} are classified into three groups: Group I applies nodal prices implemented by optimal power flow, which clears energy prices every 5min. Group II applies zonal prices, with the time resolution of 5-min. Group III is a general balancing market, which clears zonal prices intro-hourly. The various successful advanced RTM experiences have been summarized and discussed, which provides a technical overview of the present \\{RTMs\\} integrating DER and DR.

Qi Wang; Chunyu Zhang; Yi Ding; George Xydis; Jianhui Wang; Jacob stergaard

2015-01-01T23:59:59.000Z

137

Notice of Study Availability - Potential Benefits of Distributed Generation  

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

Study Availability - Potential Benefits of Distributed Study Availability - Potential Benefits of Distributed Generation and Rate-Related Issues That May Impede Their Expansion: Federal Register Notice Volume 72, No. 40 - Mar. 1, 2007 Notice of Study Availability - Potential Benefits of Distributed Generation and Rate-Related Issues That May Impede Their Expansion: Federal Register Notice Volume 72, No. 40 - Mar. 1, 2007 Federal Register Notice of availability of a study of the potential benefits of distributed generation and rate-related issues that may impede their expansion, and request for public comment. Study of the Potential Benefits of Distributed Generation and Rate- Related Issues That May Impede Their Expansion More Documents & Publications Notice of inquiry and request for Information - Study of the potential

138

Options for Control of Reactive Power by Distributed Photovoltaic Generators  

E-Print Network [OSTI]

High penetration levels of distributed photovoltaic(PV) generation on an electrical distribution circuit present several challenges and opportunities for distribution utilities. Rapidly varying irradiance conditions may cause voltage sags and swells that cannot be compensated by slowly responding utility equipment resulting in a degradation of power quality. Although not permitted under current standards for interconnection of distributed generation, fast-reacting, VAR-capable PV inverters may provide the necessary reactive power injection or consumption to maintain voltage regulation under difficult transient conditions. As side benefit, the control of reactive power injection at each PV inverter provides an opportunity and a new tool for distribution utilities to optimize the performance of distribution circuits, e.g. by minimizing thermal losses. We discuss and compare via simulation various design options for control systems to manage the reactive power generated by these inverters. An important design de...

Sulc, Petr; Backhaus, Scott; Chertkov, Michael

2010-01-01T23:59:59.000Z

139

Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs  

Science Journals Connector (OSTI)

Abstract The dynamic economic emission dispatch (DEED) of electric power generation is a multi-objective mathematical optimization problem with two objective functions. The first objective is to minimize all the fuel costs of the generators in the power system, whilst the second objective seeks to minimize the emissions cost. Both objective functions are subject to constraints such as load demand constraint, ramp rate constraint, amongst other constraints. In this work, we integrate a game theory based demand response program into the DEED problem. The game theory based demand response program determines the optimal hourly incentive to be offered to customers who sign up for load curtailment. The game theory model has in built mechanisms to ensure that the incentive offered the customers is greater than the cost of interruption while simultaneously being beneficial to the utility. The combined DEED and game theoretic demand response model presented in this work, minimizes fuel and emissions costs and simultaneously determines the optimal incentive and load curtailment customers have to perform for maximal power system relief. The developed model is tested on two test systems with industrial customers and obtained results indicate the practical benefits of the proposed model.

Nnamdi I. Nwulu; Xiaohua Xia

2015-01-01T23:59:59.000Z

140

Review of anti-islanding techniques in distributed generators  

Science Journals Connector (OSTI)

In this paper a revision about different techniques for islanding detection in distributed generators is presented. On one hand, remote techniques, not integrated in the distributed generators, are discussed. On the other hand, local techniques, integrated in the distributed generator, are described. Furthermore, it is discussed how the local techniques are divided into passive techniques, based on exclusively monitoring some electrical parameters, and active techniques, which intentionally introduce disturbances at the output of the inverter, in order to determine if some parameters are affected.

D. Velasco; C.L. Trujillo; G. Garcer; E. Figueres

2010-01-01T23:59:59.000Z

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


141

Demand-Driven Algorithm for Sharing and Distribution of Photovoltaic Power in a Small Local Area Grid  

Science Journals Connector (OSTI)

The objective of installing a residential photovoltaic system is to cut the cost of the monthly electric bill. However, many homeowners, especially those with low-income, finds it difficult to invest in such systems because require substantial upfront ... Keywords: Demand Driven, Information and Communication Technology (ICT), Jordan, Photovoltaic, Power Distribution, Power Sharing, Renewable Energy

Mohammad Abu-Arqoub, Ghassan F. Issa, Ahmad F. Shubita, Abed Alkarim Banna

2014-01-01T23:59:59.000Z

142

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

143

Integrated offering strategy for profit enhancement of distributed resources and demand response in microgrids considering system uncertainties  

Science Journals Connector (OSTI)

Abstract Due to the uncertain nature and limited predictability of wind and PV generated power, these resources participating in most of electricity markets are subject to significant deviation penalties during market settlements. In order to balance the unpredicted wind and PV power variations, system operators need to schedule additional reserves. This paper presents the optimal integrated participation model of wind and PV energy including demand response, storage devices, and dispatchable distributed generations in microgrids or virtual microgrids to increase their revenues in the intra-market. This market is considered 37h before the delivered time, so that the amount of the contracted energy could be updated to reduce the produced power deviation of microgrid. A stochastic programming approach is considered in the development of the proposed bidding strategies for microgrid producers and loads. The optimization model is characterized by making the analysis of several scenarios and simultaneously treating three kinds of uncertainty including wind and PV power, intra-market, and imbalance prices. In order to predict these uncertainty variables, a neuro-fuzzy based approach has been applied. Historic data are used to forecast future prices and wind and PV power production in the adjustment markets. Also, a probabilistic approach based on the error of forecasted and real historic data is considered for estimating the future IM and imbalance prices of wind and PV produced power. Further, a test case is applied to example the microgrid using the Spanish market rules during one week, month, and year period to illustrate the potential benefits of the proposed joint biding strategy. The simulations results, carried out by MATLAB/optimization toolbox.

H. Shayeghi; B. Sobhani

2014-01-01T23:59:59.000Z

144

Distributed Generation System Characteristics and Costs in the Buildings  

Gasoline and Diesel Fuel Update (EIA)

1.6 mb) 1.6 mb) Appendix A - Photovoltaic (PV) Cost and Performance Characteristics for Residential and Commercial Applications (1.0 mb) Appendix B - The Cost and Performance of Distributed Wind Turbines, 2010-35 (0.5 mb) Distributed Generation System Characteristics and Costs in the Buildings Sector Release date: August 7, 2013 Distributed generation in the residential and commercial buildings sectors refers to the on-site generation of energy, often electricity from renewable energy systems such as solar photovoltaics (PV) and small wind turbines. Many factors influence the market for distributed generation, including government policies at the local, state, and federal level, and project costs, which vary significantly depending on time, location, size, and application.

145

Characteristics of Vector Surge Relays for Distributed Synchronous Generator Protection  

SciTech Connect (OSTI)

This work presented a detailed investigation on the performance characteristics if vector surge relays to detect islanding of distributed synchronous generators. A detection time versus active power imbalance curve is proposed to evaluate the relay performance. Computer simulations are used to obtain the performance curves. The concept of critical active power imbalance is introduced based on these curves. Main factors affecting the performance of the relays are analyzed. The factors investigated are voltage-dependent loads, load power factor, inertia constant of the generator, generator excitation system control mode, feeder length and R/X ratio as well as multi-distributed generators. The results are a useful guideline to evaluate the effectiveness of anti-islanding schemes based on vector surge relays for distributed generation applications.

Freitas, Walmir; Xu, Wilsun; Huang, Zhenyu; Vieira, Jose C.

2007-02-28T23:59:59.000Z

146

Distributed Generation Investment by a Microgrid Under Uncertainty  

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

Distributed Generation Investment by a Microgrid Under Uncertainty Distributed Generation Investment by a Microgrid Under Uncertainty Speaker(s): Afzal Siddiqui Date: July 24, 2006 - 12:00pm Location: 90-3122 This study examines a California-based microgrid's decision to invest in a distributed generation (DG) unit that operates on natural gas. While the long-term natural gas generation cost is stochastc, we initially assume that the microgrid may purchase electricity at a fixed retail rate from its utility. Using the real options approach, we find natural gas generation cost thresholds that trigger DG investment. Furthermore, the consideration of operational flexibility by the microgrid accelerates DG investment, while the option to disconnect entirely from the utility is not attractive. By allowing the electricity price to be stochastic, we next determine an

147

Local Control of Reactive Power by Distributed Photovoltaic Generators  

E-Print Network [OSTI]

High penetration levels of distributed photovoltaic (PV) generation on an electrical distribution circuit may severely degrade power quality due to voltage sags and swells caused by rapidly varying PV generation during cloud transients coupled with the slow response of existing utility compensation and regulation equipment. Although not permitted under current standards for interconnection of distributed generation, fast-reacting, VAR-capable PV inverters may provide the necessary reactive power injection or consumption to maintain voltage regulation under difficult transient conditions. As side benefit, the control of reactive power injection at each PV inverter provides an opportunity and a new tool for distribution utilities to optimize the performance of distribution circuits, e.g. by minimizing thermal losses. We suggest a local control scheme that dispatches reactive power from each PV inverter based on local instantaneous measurements of the real and reactive components of the consumed power and the re...

Turitsyn, Konstantin S; Backhaus, Scott; Chertkov, Misha

2010-01-01T23:59:59.000Z

148

Local control of reactive power by distributed photovoltaic generators  

SciTech Connect (OSTI)

High penetration levels of distributed photovoltaic (PV) generation on an electrical distribution circuit may severely degrade power quality due to voltage sags and swells caused by rapidly varying PV generation during cloud transients coupled with the slow response of existing utility compensation and regulation equipment. Although not permitted under current standards for interconnection of distributed generation, fast-reacting, VAR-capable PV inverters may provide the necessary reactive power injection or consumption to maintain voltage regulation under difficult transient conditions. As side benefit, the control of reactive power injection at each PV inverter provides an opportunity and a new tool for distribution utilities to optimize the performance of distribution circuits, e.g. by minimizing thermal losses. We suggest a local control scheme that dispatches reactive power from each PV inverter based on local instantaneous measurements of the real and reactive components of the consumed power and the real power generated by the PVs. Using one adjustable parameter per circuit, we balance the requirements on power quality and desire to minimize thermal losses. Numerical analysis of two exemplary systems, with comparable total PV generation albeit a different spatial distribution, show how to adjust the optimization parameter depending on the goal. Overall, this local scheme shows excellent performance; it's capable of guaranteeing acceptable power quality and achieving significant saving in thermal losses in various situations even when the renewable generation in excess of the circuit own load, i.e. feeding power back to the higher-level system.

Chertkov, Michael [Los Alamos National Laboratory; Turitsyn, Konstantin [Los Alamos National Laboratory; Sulc, Petr [Los Alamos National Laboratory; Backhaus, Scott [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

149

Cogeneration and Distributed Generation1 This appendix describes cogeneration and distributed generating resources. Also provided is an  

E-Print Network [OSTI]

reinforcement, remote loads more economically served by small-scale generation than by distribution system. · Reliability upgrade for systems susceptible to outages. · Alternative to the expansion of transmission

150

Investment and Upgrade in Distributed Generation under Uncertainty  

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

Investment and Upgrade in Distributed Generation under Uncertainty Investment and Upgrade in Distributed Generation under Uncertainty Speaker(s): Afzal Siddiqui Karl Maribu Date: September 4, 2008 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Galen Barbose The ongoing deregulation of electricity industries worldwide is providing incentives for microgrids to use small-scale distributed generation (DG) and combined heat and power (CHP) applications via heat exchangers (HXs) to meet local energy loads. Although the electric-only effciency of DG is lower than that of central-station production, relatively high tariff rates and the potential for CHP applications increase the attractiveness of on-site generation. Nevertheless, a microgrid contemplating the installation of gas-fired DG has to be aware of the uncertainty in the

151

Next-Generation Distributed Power Management for Photovoltaic Systems  

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

Next-Generation Distributed Power Management for Photovoltaic Systems Next-Generation Distributed Power Management for Photovoltaic Systems Speaker(s): Jason Stauth Date: July 29, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Steven Lanzisera In recent years, the balance of systems (BOS) side of photovoltaic (PV) energy has become a major focus in the effort to drive solar energy towards grid parity. The power management architecture has expanded to include a range of distributed solutions, including microinverters and 'micro' DC-DC converters to solve problems with mismatch (shading), expand networking and control, and solve critical BOS issues such as fire safety. This talk will introduce traditional and distributed approaches for PV systems, and will propose a next-generation architecture based on a new

152

A multistage model for distribution expansion planning with distributed generation in a deregulated electricity market  

Science Journals Connector (OSTI)

Distribution systems management is becoming an increasingly complicated issue due to the introduction of new technologies, new energy trading strategies and a new deregulated environment. In the new deregulated energy market and considering the incentives ... Keywords: GAMS-MATLAB interface, distributed generation (DG), distribution company (DISCO), investment payback time, microturbine, social welfare

S. Porkar; A. Abbaspour-Tehrani-Fard; P. Poure; S. Saadate

2010-06-01T23:59:59.000Z

153

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

E-Print Network [OSTI]

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

Nnadili, Christopher Dozie, 1978-

2009-01-01T23:59:59.000Z

154

Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study  

E-Print Network [OSTI]

are dispatched to follow the load on regular dispatchloads in the energy market, and charge imbalance fees to generators that do not followload are to some degree forecastable on a day-ahead basis, as they typically follow

Cappers, Peter

2012-01-01T23:59:59.000Z

155

Demand Response Architectures and Load Management Algorithms for Energy-Efficient Power Grids: A Survey  

Science Journals Connector (OSTI)

A power grid has four segments: generation, transmission, distribution and demand. Until now, utilities have been focusing on streamlining their generation, transmission and distribution operations for energy efficiency. While loads have traditionally ... Keywords: Smart grid, energy efficiency, demand-side load management, demand response, load shifting

Yee Wei Law; Tansu Alpcan; Vincent C. S. Lee; Anthony Lo; Slaven Marusic; Marimuthu Palaniswami

2012-11-01T23:59:59.000Z

156

Distributed Generation System Characteristics and Costs in the Buildings Sector  

Gasoline and Diesel Fuel Update (EIA)

Distributed Generation System Distributed Generation System Characteristics and Costs in the Buildings Sector August 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Distributed Generation System Characteristics and Costs in the Buildings Sector i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the U.S. Department of Energy or other Federal agencies.

157

Determining the Adequate Level of Distributed Generation Penetration in  

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

Determining the Adequate Level of Distributed Generation Penetration in Determining the Adequate Level of Distributed Generation Penetration in Future Grids Speaker(s): Johan Driesen Date: March 18, 2004 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Kristina LaCommare In this talk, Johan will discuss the technical barriers met while deploying distributed generation (DG) technology in the grid. These are related to voltage quality, reliability, stability of the grid, but also safety, environmental and economic issues are important. Eventually, the question 'how far can you go ?' is addressed. The range from small-scale local DG such as photovoltaics to large-scale (off-shore) wind farms are dealt with, each with their specific issues. The talk is illustrated with examples from research projects at the KULeuven financied by national and European

158

Poland - Economic and Financial Benefits of Distributed Generation  

Open Energy Info (EERE)

Poland - Economic and Financial Benefits of Distributed Generation Poland - Economic and Financial Benefits of Distributed Generation Small-Scale, Gas-Fired CHP Jump to: navigation, search Name Poland - Economic and Financial Benefits of Distributed Generation Small-Scale, Gas-Fired CHP Agency/Company /Organization Argonne National Laboratory Sector Energy Topics Background analysis Website http://www.dis.anl.gov/pubs/41 Country Poland Eastern Europe References http://www.dis.anl.gov/pubs/41763.pdf This article is a stub. You can help OpenEI by expanding it. The Polish energy markets have recently been restructured, opening the door to new players with access to new products and instruments. In response to this changed environment, the Government of Poland and the Polish Power Grid Company were interested in analyzing the competitiveness of

159

Distributed Generation Study/SUNY Buffalo | Open Energy Information  

Open Energy Info (EERE)

Distributed Generation Study/SUNY Buffalo Distributed Generation Study/SUNY Buffalo < Distributed Generation Study Jump to: navigation, search Study Location Buffalo, New York Site Description Institutional-School/University Study Type Long-term Monitoring Technology Microturbine Prime Mover Capstone C60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Gerster Trane System Enclosure Outdoor System Application Combined Heat and Power Number of Prime Movers 2 Stand-alone Capability None Power Rating 120 kW0.12 MW 120,000 W 120,000,000 mW 1.2e-4 GW 1.2e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 600000 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Factory Integrated Start Date 2002/12/11 Monitoring Termination Date 2004/08/11

160

Acceptance-rejection methods for generating random variates from matrix exponential distributions and rational  

E-Print Network [OSTI]

Acceptance-rejection methods for generating random variates from matrix exponential distributions generation, Simulation, Matrix Exponential Distributions, Rational Arrival Processes. 1. INTRODUCTION Despite on the efficient generation of random variates of matrix exponential (ME) distributions [10] and rational arrival

Telek, Miklós

Note: This page contains sample records for the topic "demand distributed generation" 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

Effective Integration of Wind-Distributed Generation to Power Grid with STATCOM  

Science Journals Connector (OSTI)

Worldwide fast depletion of conventional energy resources necessitates the implementation of renewable energy sources for generation to satisfy the growing demand. Since last decade, technological innovations and...

Surekha Manoj; P. S. Puttaswamy

2014-01-01T23:59:59.000Z

162

List of Other Distributed Generation Technologies Incentives | Open Energy  

Open Energy Info (EERE)

Incentives Incentives Jump to: navigation, search The following contains the list of 123 Other Distributed Generation Technologies Incentives. CSV (rows 1 - 123) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active APS - Renewable Energy Incentive Program (Arizona) Utility Rebate Program Arizona Commercial Residential Anaerobic Digestion Biomass Daylighting Geothermal Electric Ground Source Heat Pumps Landfill Gas Other Distributed Generation Technologies Photovoltaics Small Hydroelectric Solar Pool Heating Solar Space Heat Solar Thermal Process Heat Solar Water Heat Wind energy Yes Alternative Energy Portfolio Standard (Pennsylvania) Renewables Portfolio Standard Pennsylvania Investor-Owned Utility Retail Supplier Building Insulation Ceiling Fan

163

A 10 GS/s Distributed Waveform Generator for Sub-Nanosecond Pulse Generation and Modulation in Standard Digital CMOS  

E-Print Network [OSTI]

A 10 GS/s Distributed Waveform Generator for Sub-Nanosecond Pulse Generation and Modulation, Email:hwu@ece.rochester.edu Abstract-- A distributed waveform generator is presented for sub a distributed waveform generator (DWG) circuit in a time-interleaved architecture suitable for standard CMOS

Wu, Hui

164

GENERATING SYNCHRONIZABLE TEST SEQUENCES BASED ON FINITE STATE MACHINE WITH DISTRIBUTED PORTS 1  

E-Print Network [OSTI]

GENERATING SYNCHRONIZABLE TEST SEQUENCES BASED ON FINITE STATE MACHINE WITH DISTRIBUTED PORTS 1 with several distributed interfaces, called ports. A test generation method is developed for generating test generation and fault detectability. Several types of such interfaces have been standardized

von Bochmann, Gregor

165

Enhancement of loading capacity of distribution system through distributed generator placement considering techno-economic benefits with load growth  

Science Journals Connector (OSTI)

Abstract Load growth in a system is a natural phenomenon. With the increase in load demand, system power loss and voltage drop increases. Distributed generators (DGs) are one of the best solutions to cope up with the load growth if they are allocated appropriately in the distribution system. In this work, optimal size and location of multiple \\{DGs\\} are found to cater the incremental load on the system and minimization of power loss without violating system constraints. For this a predetermined annual load growth up to five years is considered with voltage regulation as a constraint. The particle swarm optimization with constriction factor approach is applied to determine the optimum size and location with multiple DGs. To see the effect of load growth on system, 33-node IEEE standard test case is considered. It is observed that with the penetration of multiple number of \\{DGs\\} in distribution system, there is great improvement in several distribution system parameters. Moreover, the loading capacity of distribution system is enhanced through DG placement and its techno-economic benefits are also established.

Khyati D. Mistry; Ranjit Roy

2014-01-01T23:59:59.000Z

166

A Game Strategy for Power Flow Control of Distributed Generators in Smart Grids  

Science Journals Connector (OSTI)

We consider the distributed power control problem of distributed generators(DGs) in smart grid. In order...

Jianliang Zhang; Donglian Qi; Guoyue Zhang

2014-01-01T23:59:59.000Z

167

Planning of grid integrated distributed generators: A review of technology, objectives and techniques  

Science Journals Connector (OSTI)

Abstract The world is witnessing a transition from its present centralized generation paradigm to a future with increased share of distributed generation (DG). Integration of renewable energy sources (RES) based distributed generators is seen as a solution to decrease reliance on depleting fossil fuel reserves, increase energy security and provide an environment friendly solution to growing power demand. The planning of power system incorporating \\{DGs\\} has to take into account various factors such as nature of DG technology, impact of DG on operating characteristics of power system and economic considerations. This paper put forwards a comprehensive review on planning of grid integrated distributed generators. An overview of different DG technologies has been presented. Different issues associated with DG integration have been discussed. The planning objectives of DG integration have been surveyed in detail and have been critically reviewed with respect to conventional and RES based DG technologies. Different techniques used for optimal placement of \\{DGs\\} have also been investigated and compared. The extensive literature survey revealed that researchers have mostly focussed on DG integration planning using conventional DGs. RES based \\{DGs\\} have not been given due consideration. While integrating RES, their stochastic behaviour has not been appropriately accounted. Finally, visualizing the wide scope of research in the planning of grid integrated DGs; an attempt has been made to identify future research avenues.

Priyanka Paliwal; N.P. Patidar; R.K. Nema

2014-01-01T23:59:59.000Z

168

Clean Distributed Generation for Slum Electrification: The Case of Mumbai  

E-Print Network [OSTI]

the lack of electrification in slums in India, focussing on the slums in the city of Mumbai as a case studyClean Distributed Generation for Slum Electrification: The Case of Mumbai This paper discusses the city's 16 million inhabitants in 2335 distinct settlements, are used as a case-study throughout

Mauzerall, Denise

169

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network [OSTI]

generation with combined heat and power applications. Givengeneration (DG), combined heat and power (CHP) equipment,S-E Fleten (2008), Combined Heat and Power in Commercial

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

170

Iowa Distributed Wind Generation Project | Open Energy Information  

Open Energy Info (EERE)

Generation Project Generation Project Jump to: navigation, search Name Iowa Distributed Wind Generation Project Facility Iowa Distributed Wind Generation Project Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Consortium -- Cedar Falls leads with 2/3 ownership Developer Iowa Distributed Wind Generation Project Energy Purchaser Consortium -- Cedar Falls leads with 2/3 ownership Location Algona IA Coordinates 43.0691°, -94.2255° 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":43.0691,"lon":-94.2255,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

171

NREL: Energy Analysis - Distributed Generation Energy Technology Capital  

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

Capital Costs Capital Costs Transparent Cost Database Button The following charts indicate recent capital cost estimates for distributed generation (DG) renewable energy technologies. The estimates are shown in dollars per installed kilowatt of generating capacity or thermal energy capacity for thermal technologies. The charts provide a compilation of available national-level cost data from a variety of sources. Costs in your specific location will vary. The red horizontal lines represent the first standard deviation of the mean. The U.S. Department of Energy (DOE) Federal Energy Management Program (FEMP) sponsored the distributed generation data used within these charts. If you are seeking utility-scale technology capital cost estimates, please visit the Transparent Cost Database website for NREL's information

172

NREL: Energy Analysis - Distributed Generation Energy Technology Operations  

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

Operations and Maintenance Costs Operations and Maintenance Costs Transparent Cost Database Button The following charts indicate recent operations and maintenance (O&M) cost estimates for distributed generation (DG) renewable energy technologies. The charts provide a compilation of available national-level cost data from a variety of sources. Costs in your specific location will vary. The red horizontal lines represent the first standard deviation of the mean. The U.S. Department of Energy (DOE) Federal Energy Management Program (FEMP) sponsored the distributed generation data used within these charts. If you are seeking utility-scale technology operations and maintenance estimates, please visit the Transparent Cost Database website for NREL's information regarding vehicles, biofuels, and electricity generation.

173

Introduction to Distributed Generation and the CERTS Microgrid  

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

Introduction to Distributed Generation and the CERTS Microgrid Introduction to Distributed Generation and the CERTS Microgrid Speaker(s): Chris Marnay Date: December 3, 2002 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Kristina LaCommare This is a first in a series of at least 5 seminars around the winter break to survey Distributed Energy Resources (DER) research questions and various Berkeley capabilities available to address them. The electricity industry in industrialized countries may be about to reverse a century long trend towards ever larger scale, ever more centrally controlled power systems. The emergence of technologies that are competitive at small scales, close to loads, in large part because of the opportunities created to capture waste heat and locally control power quality might signal a radical

174

A Radical Distributed Architecture for Local Energy Generation,  

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

A Radical Distributed Architecture for Local Energy Generation, A Radical Distributed Architecture for Local Energy Generation, Distribution, and Sharing Speaker(s): Randy Katz Date: April 25, 2008 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Galen Barbose The LoCal Project is developing Information Age solutions to the limiting resource of this century: energy. One hundred fifty years ago, humanity was transformed by harnessing energy for machinery and work. Toil by hand became routinely mechanized, inconceivable constructions became reality, and powered transport shrunk the world. A century later, computers brought an equally profound transformation, replacing mundane bookkeeping and obviating libraries, simulating the imperceptible, and placing knowledge at our fingertips. Information processing has sustained a 50-100% annualized

175

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

Science Journals Connector (OSTI)

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

C. lvarez; A. Gabaldn

1994-01-01T23:59:59.000Z

176

Laboratories for the 21st Century Best Practices: Onsite Distributed Generation Systems For Laboratories  

Broader source: Energy.gov [DOE]

Guide describes general information on implementing onsite distributed generation systems in laboratory environments.

177

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

SciTech Connect (OSTI)

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

178

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

179

A new wholesale bidding mechanism for enhanced demand response in smart grids  

E-Print Network [OSTI]

Calls to improve customer participation as a key element of smart grids have reinvigorated interest in demand-side features such as distributed generation, on-site storage and demand response. In the context of deregulated ...

Wang, Jiankang

180

Distributed Generation Study/Harbec Plastics | Open Energy Information  

Open Energy Info (EERE)

< Distributed Generation Study < Distributed Generation Study Jump to: navigation, search Study Location Ontario, New York Site Description Industrial-Plastics Processing Study Type Long-term Monitoring Technology Microturbine Prime Mover Capstone C30 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Northern Development System Enclosure Indoor System Application Combined Heat and Power Number of Prime Movers 25 Stand-alone Capability None Power Rating 750 kW0.75 MW 750,000 W 750,000,000 mW 7.5e-4 GW 7.5e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 3750000 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Factory Integrated Start Date 2005/10/06 Monitoring Termination Date 1969/12/31 Primary Power Application Based Load

Note: This page contains sample records for the topic "demand distributed generation" 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

Most Viewed Documents - Power Generation and Distribution | OSTI, US Dept  

Office of Scientific and Technical Information (OSTI)

Most Viewed Documents - Power Generation and Distribution Most Viewed Documents - Power Generation and Distribution Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; et al. (1994) ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) Systems and economic analysis of microalgae ponds for conversion of CO{sub 2} to biomass. Quarterly technical progress report, September 1993--December 1993 Benemann, J.R.; Oswald, W.J. (1994) Load flow analysis: Base cases, data, diagrams, and results Portante, E.C.; Kavicky, J.A.; VanKuiken, J.C.; et al. (1997) Multilevel converters -- A new breed of power converters Lai, J.S. [Oak Ridge National Lab., TN (United States). Engineering Technology Div.]; Peng, F.Z. [Univ. of Tennessee, Knoxville, TN (United

182

April 2013 Most Viewed Documents for Power Generation And Distribution |  

Office of Scientific and Technical Information (OSTI)

April 2013 Most Viewed Documents for Power Generation And Distribution April 2013 Most Viewed Documents for Power Generation And Distribution Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 719 Seventh Edition Fuel Cell Handbook NETL (2004) 628 ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) 343 Wet cooling towers: rule-of-thumb design and simulation Leeper, S.A. (1981) 290 Load flow analysis: Base cases, data, diagrams, and results Portante, E.C.; Kavicky, J.A.; VanKuiken, J.C.; Peerenboom, J.P. (1997) 248 Controlled low strength materials (CLSM), reported by ACI Committee 229 Rajendran, N. (1997) 106 Micro-CHP Systems for Residential Applications Timothy DeValve; Benoit Olsommer (2007)

183

September 2013 Most Viewed Documents for Power Generation And Distribution  

Office of Scientific and Technical Information (OSTI)

Power Generation And Distribution Power Generation And Distribution Electric power high-voltage transmission lines: Design options, cost, and electric and magnetic field levels Stoffel, J.B.; Pentecost, E.D.; Roman, R.D.; Traczyk, P.A. (1994) 200 Wet cooling towers: rule-of-thumb design and simulation Leeper, S.A. (1981) 103 ASPEN Plus Simulation of CO2 Recovery Process Charles W. White III (2003) 76 Feed-pump hydraulic performance and design improvement, Phase I: research program design. Final report Brown, W.H.; Gopalakrishnan, S.; Fehlau, R.; Thompson, W.E.; Wilson, D.G. (1982) 69 Seventh Edition Fuel Cell Handbook NETL (2004) 65 Load flow analysis: Base cases, data, diagrams, and results Portante, E.C.; Kavicky, J.A.; VanKuiken, J.C.; Peerenboom, J.P. (1997) 52 Controlled low strength materials (CLSM), reported by ACI Committee

184

Distributed Generation Study/Sea Rise 2 | Open Energy Information  

Open Energy Info (EERE)

Distributed Generation Study Distributed Generation Study Jump to: navigation, search Study Location Brooklyn, New York Site Description Residential-Multifamily-Single Building Study Type Long-term Monitoring Technology Internal Combustion Engine Prime Mover Coast Intelligen CI60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Grenadier Realty System Enclosure Indoor System Application Combined Heat and Power Number of Prime Movers 2 Stand-alone Capability None Power Rating 120 kW0.12 MW 120,000 W 120,000,000 mW 1.2e-4 GW 1.2e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 1300000 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Factory Integrated Start Date 2006/08/30 Monitoring Termination Date 1969/12/31

185

Distributed Generation Study/Sea Rise 1 | Open Energy Information  

Open Energy Info (EERE)

Distributed Generation Study Distributed Generation Study Jump to: navigation, search Study Location Brooklyn, New York Site Description Residential-Multifamily-Single Building Study Type Long-term Monitoring Technology Internal Combustion Engine Prime Mover Coast Intelligen CI60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Grenadier Realty System Enclosure Indoor System Application Combined Heat and Power Number of Prime Movers 2 Stand-alone Capability None Power Rating 120 kW0.12 MW 120,000 W 120,000,000 mW 1.2e-4 GW 1.2e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 1300000 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Factory Integrated Start Date 2006/08/30 Monitoring Termination Date 1969/12/31

186

Optimal Power Sharing for Microgrid with Multiple Distributed Generators  

Science Journals Connector (OSTI)

Abstract This paper describes the active power sharing of multiple distributed generators (DGs) in a microgrid. The operating modes of a microgrid are 1) a grid-connected mode and 2) an autonomous mode. During islanded operation, one DG unit should share its output power with other DG units in exact accordance with the load. Unit output power control (UPC) is introduced to control the active power of DGs. The viability of the proposed power control mode is simulated by MATLAB/SIMULINK.

V. Logeshwari; N. Chitra; A. Senthil Kumar; Josiah Munda

2013-01-01T23:59:59.000Z

187

Application of particle swarm optimization for distribution feeder reconfiguration considering distributed generators  

Science Journals Connector (OSTI)

In many countries the power systems are going to move toward creating a competitive structure for selling and buying electrical energy. These changes and the numerous advantages of the distributed generation units (DGs) in term of their technology enhancement and economical considerations have created more incentives to use these kinds of generators than before. Therefore, it is necessary to study the impact of \\{DGs\\} on the power systems, especially on the distribution networks. The distribution feeder reconfiguration (DFR) is one of the most important control schemes in the distribution networks, which can be affected by DGs. This paper presents a new approach to DFR at the distribution networks considering DGs. The main objective of the DFR is to minimize the deviation of the bus voltage, the number of switching operations and the total cost of the active power generated by \\{DGs\\} and distribution companies. Since the DFR is a nonlinear optimization problem, we apply the particle swarm optimization (PSO) approach to solve it. The feasibility of the proposed approach is demonstrated and compared with other evolutionary methods such as genetic algorithm (GA), Tabu search (TS) and differential evolution (DE) over a realistic distribution test system.

J. Olamaei; T. Niknam; G. Gharehpetian

2008-01-01T23:59:59.000Z

188

Fuel cycle comparison of distributed power generation technologies.  

SciTech Connect (OSTI)

The fuel-cycle energy use and greenhouse gas (GHG) emissions associated with the application of fuel cells to distributed power generation were evaluated and compared with the combustion technologies of microturbines and internal combustion engines, as well as the various technologies associated with grid-electricity generation in the United States and California. The results were primarily impacted by the net electrical efficiency of the power generation technologies and the type of employed fuels. The energy use and GHG emissions associated with the electric power generation represented the majority of the total energy use of the fuel cycle and emissions for all generation pathways. Fuel cell technologies exhibited lower GHG emissions than those associated with the U.S. grid electricity and other combustion technologies. The higher-efficiency fuel cells, such as the solid oxide fuel cell (SOFC) and molten carbonate fuel cell (MCFC), exhibited lower energy requirements than those for combustion generators. The dependence of all natural-gas-based technologies on petroleum oil was lower than that of internal combustion engines using petroleum fuels. Most fuel cell technologies approaching or exceeding the DOE target efficiency of 40% offered significant reduction in energy use and GHG emissions.

Elgowainy, A.; Wang, M. Q.; Energy Systems

2008-12-08T23:59:59.000Z

189

Design of improved controller for thermoelectric generator used in distributed generation  

Science Journals Connector (OSTI)

This paper investigates the application of thermal generation based on solid-state devices such as thermoelectric generators (TEGs) as a novel technological alternative of distributed generation (DG). The full detailed modeling and the dynamic simulation of a three-phase grid-connected TEG used as a dispersed generator is studied. Moreover, a new control scheme of the TEG is proposed, which consists of a multi-level hierarchical structure and incorporates a maximum power point tracker (MPPT) for better use of the thermal resource. In addition, reactive power compensation of the electric grid is included, operating simultaneously and independently of the active power generation. Validation of models and control schemes is performed by using the MATLAB/Simulink environment. Moreover, a small-scale TEG experimental set-up was employed to demonstrate the accuracy of proposed models.

M.G. Molina; L.E. Juanic; G.F. Rinalde; E. Taglialavore; S. Gortari

2010-01-01T23:59:59.000Z

190

Property:Distributed Generation/Site Description | Open Energy Information  

Open Energy Info (EERE)

Generation/Site Description Generation/Site Description Jump to: navigation, search This is a property of type String. The allowed values for this property are: Agricultural Commercial-Hotel Commercial-Ice Arena Commercial-High Rise Office Commercial-Low Rise Office Commercial-Refrigerated Warehouse Commercial-Restaurant Commercial-Retail Store Commercial-Supermarket Commercial-Theater Commercial-Other Institutional-Hospital/Health Care Institutional-Nursing Home Institutional-School/University Institutional-Other Residential-Multifamily-Single Building Residential-Multifamily-Multibuilding Residential-Single Family Industrial-Food Processing Industrial-Plastics Processing Industrial-Wood Products Industrial-Other Testing Laboratory Water Utility Other Utility Other Pages using the property "Distributed Generation/Site Description"

191

Assessing the potential of residential demand response systems to assist in the integration of local renewable energy generation  

Science Journals Connector (OSTI)

Mass market demand response programmes may be utilised to assist bulk ... and software architecture in households. In contrast, demand response systems based only on information exchange between ... uptake. The e...

A. D. Peacock; E. H. Owens

2014-06-01T23:59:59.000Z

192

Efficiency and Air Quality Implications of Distributed Generation and Combined Heat  

E-Print Network [OSTI]

Efficiency and Air Quality Implications of Distributed Generation and Combined Heat and Power March 2011 The Issue Distributed generation generates electricity from many small energy sources near where the electricity is used. The use of distributed generation in urban areas, however, can

193

SYSTEM WIDE ECONOMIC BENEFITS OF DISTRIBUTED GENERATION IN THE NEW ENGLAND  

E-Print Network [OSTI]

SYSTEM WIDE ECONOMIC BENEFITS OF DISTRIBUTED GENERATION IN THE NEW ENGLAND ENERGY MARKET-1027 © Copyright by CEERE #12;1. INTRODUCTION Distributed generation (DG) is generation of electricity close was to evaluate the benefits and costs associated with a distributed generation unit from the perspectives

Massachusetts at Amherst, University of

194

On Linear Independence of Generators of FSI Distribution Spaces on IR  

E-Print Network [OSTI]

On Linear Independence of Generators of FSI Distribution Spaces on IR Jianzhong Wang Abstract. A distribution space is called finitely shift invariant (FSI) if it is generated by a vector-valued distribution of an FSI distribution space and presents a way to find the generators with linear independent shifts

Wang, Jianzhong

195

On the Cost of Generating PH-distributed Random Philipp Reinecke, Katinka Wolter  

E-Print Network [OSTI]

On the Cost of Generating PH-distributed Random Numbers Philipp Reinecke, Katinka Wolter Humboldt systems. The use of these distributions in simulation studies requires efficient methods for generating PH-distributed random numbers. In this work, we consider the cost of PH-distributed random-number generation. I

Telek, Miklós

196

RANDOM VARIATE GENERATION FOR THE DIGAMMA AND TRIGAMMA DISTRIBUTIONS Luc Devroye  

E-Print Network [OSTI]

RANDOM VARIATE GENERATION FOR THE DIGAMMA AND TRIGAMMA DISTRIBUTIONS Luc Devroye School of Computer these distributions and selected generalized hypergeometric distributions. The generators can also be used. Keywords and phrases. Digamma distribution. Random variate generation. Trigamma dis­ tribution. Probability

Devroye, Luc

197

Report: Impacts of Demand-Side Resources on Electric Transmission Planning  

Broader source: Energy.gov [DOE]

Demand for new transmission can be driven by different factors, including connection of new generation, reliability, economics, environmental policy compliance and replacement of retiring infrastructure. This report assesses the relationship between high levels of demand-side resources (including end-use efficiency, demand response, and distributed generation) and investment in new transmission or utilization of existing transmission.

198

Onsite Distributed Generation Systems For Laboratories, Laboratories for the 21st Century: Best Practices (Brochure)  

SciTech Connect (OSTI)

This guide provides general information on implementing onsite distributed generation systems in laboratory environments. Specific technology applications, general performance information, and cost data are provided to educate and encourage laboratory energy managers to consider onsite power generation or combined heat and power (CHP) systems for their facilities. After conducting an initial screening, energy managers are encouraged to conduct a detailed feasibility study with actual cost and performance data for technologies that look promising. Onsite distributed generation systems are small, modular, decentralized, grid-connected, or off-grid energy systems. These systems are located at or near the place where the energy is used. These systems are also known as distributed energy or distributed power systems. DG technologies are generally considered those that produce less than 20 megawatts (MW) of power. A number of technologies can be applied as effective onsite DG systems, including: (1) Diesel, natural gas, and dual-fuel reciprocating engines; (2) Combustion turbines and steam turbines; (3) Fuel cells; (4) Biomass heating; (5) Biomass combined heat and power; (6) Photovoltaics; and (7) Wind turbines. These systems can provide a number of potential benefits to an individual laboratory facility or campus, including: (1) High-quality, reliable, and potentially dispatchable power; (2) Low-cost energy and long-term utility cost assurance, especially where electricity and/or fuel costs are high; (3) Significantly reduced greenhouse gas (GHG) emissions. Typical CHP plants reduce onsite GHG by 40 to 60 percent; (4) Peak demand shaving where demand costs are high; (5) CHP where thermal energy can be used in addition to electricity; (6) The ability to meet standby power needs, especially where utility-supplied power is interrupted frequently or for long periods and where standby power is required for safety or emergencies; and (7) Use for standalone or off-grid systems where extending the grid is too expensive or impractical. Because they are installed close to the load, DG systems avoid some of the disadvantages of large, central power plants, such as transmission and distribution losses over long electric lines.

Not Available

2011-09-01T23:59:59.000Z

199

Distributed Generation Systems Inc DISGEN | Open Energy Information  

Open Energy Info (EERE)

DISGEN DISGEN Jump to: navigation, search Name Distributed Generation Systems Inc (DISGEN) Place Lakewood, Colorado Zip 80228 Sector Wind energy Product Developer of Green Mountain (10.4 MW) and Ponnequin (16 MW) wind generation projects in the US. Manages everything from site selection through construction. Coordinates 45.300538°, -88.522572° 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":45.300538,"lon":-88.522572,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

200

Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation  

SciTech Connect (OSTI)

This report summarizes the work performed by Hybrid Power Generation Systems, LLC (HPGS) during the July 2003 to December 2003 reporting period under Cooperative Agreement DE-FC26-01NT40779 for the U. S. Department of Energy, National Energy Technology Laboratory (DOE/NETL) entitled ''Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation''. The main objective of this project is to develop and demonstrate the feasibility of a highly efficient hybrid system integrating a planar Solid Oxide Fuel Cell (SOFC) and a micro-turbine. In addition, an activity included in this program focuses on the development of an integrated coal gasification fuel cell system concept based on planar SOFC technology. Also, another activity included in this program focuses on the development of SOFC scale up strategies.

Faress Rahman; Nguyen Minh

2004-01-04T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Design optimization of a fuzzy distributed generation (DG) system with multiple renewable energy sources  

Science Journals Connector (OSTI)

The global rise in energy demands brings major obstacles to many energy organizations in providing adequate energy supply. Hence many techniques to generate cost effective reliable and environmentally friendly alternative energy source are being explored. One such method is the integration of photovoltaic cells wind turbine generators and fuel-based generators included with storage batteries. This sort of power systems are known as distributed generation (DG) power system. However the application of DG power systems raise certain issues such as cost effectiveness environmental impact and reliability. The modelling as well as the optimization of this DG power system was successfully performed in the previous work using Particle Swarm Optimization (PSO). The central idea of that work was to minimize cost minimize emissions and maximize reliability (multi-objective (MO) setting) with respect to the power balance and design requirements. In this work we introduce a fuzzy model that takes into account the uncertain nature of certain variables in the DG system which are dependent on the weather conditions (such as; the insolation and wind speed profiles). The MO optimization in a fuzzy environment was performed by applying the Hopfield Recurrent Neural Network (HNN). Analysis on the optimized results was then carried out.

2012-01-01T23:59:59.000Z

202

Time series power flow analysis for distribution connected PV generation.  

SciTech Connect (OSTI)

Distributed photovoltaic (PV) projects must go through an interconnection study process before connecting to the distribution grid. These studies are intended to identify the likely impacts and mitigation alternatives. In the majority of the cases, system impacts can be ruled out or mitigation can be identified without an involved study, through a screening process or a simple supplemental review study. For some proposed projects, expensive and time-consuming interconnection studies are required. The challenges to performing the studies are twofold. First, every study scenario is potentially unique, as the studies are often highly specific to the amount of PV generation capacity that varies greatly from feeder to feeder and is often unevenly distributed along the same feeder. This can cause location-specific impacts and mitigations. The second challenge is the inherent variability in PV power output which can interact with feeder operation in complex ways, by affecting the operation of voltage regulation and protection devices. The typical simulation tools and methods in use today for distribution system planning are often not adequate to accurately assess these potential impacts. This report demonstrates how quasi-static time series (QSTS) simulation and high time-resolution data can be used to assess the potential impacts in a more comprehensive manner. The QSTS simulations are applied to a set of sample feeders with high PV deployment to illustrate the usefulness of the approach. The report describes methods that can help determine how PV affects distribution system operations. The simulation results are focused on enhancing the understanding of the underlying technical issues. The examples also highlight the steps needed to perform QSTS simulation and describe the data needed to drive the simulations. The goal of this report is to make the methodology of time series power flow analysis readily accessible to utilities and others responsible for evaluating potential PV impacts.

Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J. [Georgia Institute of Technology, Atlanta, GA; Smith, Jeff [Electric Power Research Institute, Knoxville, TN; Dugan, Roger [Electric Power Research Institute, Knoxville, TN

2013-01-01T23:59:59.000Z

203

IEEE TRANSACTIONS ON SMART GRID, VOL. 5, NO. 2, MARCH 2014 861 An Optimal and Distributed Demand Response  

E-Print Network [OSTI]

of demand response management for the future smart grid that integrates plug-in electric vehicles for augmented Lagrangian. I. INTRODUCTION I N THE electricity market, demand response [1] is a mech- anism to manage users' consumption behavior under spe- cific supply conditions. The goal of demand response

Nehorai, Arye

204

LO Generation and Distribution for 60GHz Phased Array Transceivers  

E-Print Network [OSTI]

goal of the LO distribution network design was minimizing7. Given a distribution impedance, Z o , design an input5. LO DISTRIBUTION Mixer LO Buffer Design Methodology The

Marcu, Cristian

2011-01-01T23:59:59.000Z

205

Siting and sizing of distributed generation units using GA and OPF  

Science Journals Connector (OSTI)

This paper deals with the important task of finding the optimal siting and sizing of Distributed Generation (DG) units for a given distribution network so that the cost of active and reactive power generation can be minimized. The optimization technique ... Keywords: distributed generation, genetic alghorithm(GA), optimal power flow(OPF)

M. Hosseini Aliabadi; M. Mardaneh; B. Behbahan

2008-01-01T23:59:59.000Z

206

Load Distributed Whole-body Motion Generation Method for Humanoids by  

E-Print Network [OSTI]

1 Load Distributed Whole-body Motion Generation Method for Humanoids by Minimizing Average Joint. Keywords. Humanoid robot, Load distribution, Whole-body motion generation method, Joint Torque, Environment generation method under whole-body coor- dination, it is very important to consider a load distribution

Yamamoto, Hirosuke

207

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

208

Published in IET Generation, Transmission & Distribution Received on 5th October 2012  

E-Print Network [OSTI]

Published in IET Generation, Transmission & Distribution Received on 5th October 2012 Revised on 31 are small scale power systems that facilitate the effective integration of distributed generators (DG) [1 of multiple photovoltaic generators in a power distribution system [16]. Networked multi-agent systems have

Qu, Zhihua

209

Efficient protocols for generating bipartite classical distributions and quantum Zhaohui Wei  

E-Print Network [OSTI]

Efficient protocols for generating bipartite classical distributions and quantum states Rahul Jain in optimization, convex geometry, and information theory. 1. To generate a classical distribution P(x, y), we an approximation of is allowed to generate a distribution (X, Y ) P, we present a classical protocol

Jain, Rahul

210

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

211

A Brief History of Generative Models for Power Law and Lognormal Distributions  

E-Print Network [OSTI]

A Brief History of Generative Models for Power Law and Lognormal Distributions Michael Mitzenmacher generative models that lead to these distributions. One #12;nding is that lognormal and power law of an underlying generative model which suggested that #12;le sizes were better modeled by a lognormal distribution

Mitzenmacher, Michael

212

The Plausibility of Semantic Properties Generated by a Distributional Model: Evidence from a Visual World Experiment  

E-Print Network [OSTI]

The Plausibility of Semantic Properties Generated by a Distributional Model: Evidence from a Visual the plausibility of the properties generated by a distributional model using data from a visual world experiment, recently, a distributional model has been proposed that is able to generate properties associated

Koehn, Philipp

213

Subsystem Interaction Analysis in Power Distribution Systems of Next Generation Airlifters  

E-Print Network [OSTI]

1 Subsystem Interaction Analysis in Power Distribution Systems of Next Generation Airlifters Sriram power distribution system of a next generation transport aircraft is addressed. Detailed analysis with the analysis of subsystem integration in power distribution systems of next generation transport aircraft

Lindner, Douglas K.

214

Application of honey-bee mating optimization on state estimation of a power distribution system including distributed generators  

Science Journals Connector (OSTI)

We present a new approach based on honey-bee mating optimization to estimate the state variables in distribution networks including distributed generators. The proposed method considers practical models of...

Taher Niknam

2008-12-01T23:59:59.000Z

215

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

216

Distributed Generation Study/Dakota Station (Minnegasco) | Open Energy  

Open Energy Info (EERE)

Station (Minnegasco) Station (Minnegasco) < Distributed Generation Study Jump to: navigation, search Study Location Burnsville, Minnesota Site Description Other Utility Study Type Case Study Technology Microturbine Prime Mover Capstone C30 Heat Recovery Systems Unifin Fuel Natural Gas System Installer Capstone Turbine Corp System Enclosure Outdoor System Application Combined Heat and Power Number of Prime Movers 1 Stand-alone Capability None Power Rating 30 kW0.03 MW 30,000 W 30,000,000 mW 3.0e-5 GW 3.0e-8 TW Nominal Voltage (V) 0 Heat Recovery Rating (BTU/hr) 290000 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Customer Assembled Start Date 2000/03/13 Monitoring Termination Date 2002/03/31 Primary Power Application Based Load

217

Distributed Generation Study/Emerling Farm | Open Energy Information  

Open Energy Info (EERE)

Emerling Farm Emerling Farm < Distributed Generation Study Jump to: navigation, search Study Location Perry, New York Site Description Agricultural Study Type Long-term Monitoring Technology Internal Combustion Engine Prime Mover Caterpillar G379 Heat Recovery Systems Built-in Fuel Biogas System Installer RCM Digesters System Enclosure Dedicated Shelter System Application Combined Heat and Power Number of Prime Movers 1 Stand-alone Capability Seamless Power Rating 200 kW0.2 MW 200,000 W 200,000,000 mW 2.0e-4 GW 2.0e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 2000000 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Factory Integrated Start Date 2006/06/07 Monitoring Termination Date 1969/12/31 Primary Power Application Based Load

218

Distributed Generation Study/Hudson Valley Community College | Open Energy  

Open Energy Info (EERE)

Valley Community College Valley Community College < Distributed Generation Study Jump to: navigation, search Study Location Troy, New York Site Description Institutional-School/University Study Type Long-term Monitoring Technology Internal Combustion Engine Prime Mover Caterpillar G3516, Caterpillar DM5498, Caterpillar DM7915 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Siemens Building Technologies System Enclosure Dedicated Shelter System Application Combined Heat and Power Number of Prime Movers 6 Stand-alone Capability Seamless Power Rating 7845 kW7.845 MW 7,845,000 W 7,845,000,000 mW 0.00785 GW 7.845e-6 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 32500000 Cooling Capacity (Refrig/Tons) Origin of Controller 3rd Party Custom Made Component Integration Factory Integrated

219

Distributed Generation Study/Floyd Bennett | Open Energy Information  

Open Energy Info (EERE)

Bennett Bennett < Distributed Generation Study Jump to: navigation, search Study Location Brooklyn, New York Site Description Other Study Type Long-term Monitoring Technology Microturbine Prime Mover Capstone C60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Montreal Construction System Enclosure Outdoor System Application Combined Heat and Power Number of Prime Movers 2 Stand-alone Capability Seamless Power Rating 120 kW0.12 MW 120,000 W 120,000,000 mW 1.2e-4 GW 1.2e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 230000 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Factory Integrated Start Date 2005/07/21 Monitoring Termination Date 1969/12/31 Primary Power Application Based Load

220

Distributed Generation Study/Arrow Linen | Open Energy Information  

Open Energy Info (EERE)

Study/Arrow Linen Study/Arrow Linen < Distributed Generation Study Jump to: navigation, search Study Location Brooklyn, New York Site Description Commercial-Other Study Type Long-term Monitoring Technology Internal Combustion Engine Prime Mover Coast Intelligen 150-IC with ECS Heat Recovery Systems Built-in Fuel Natural Gas System Installer Energy Concepts System Enclosure Outdoor System Application Combined Heat and Power Number of Prime Movers 2 Stand-alone Capability None Power Rating 300 kW0.3 MW 300,000 W 300,000,000 mW 3.0e-4 GW 3.0e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 3000000 Cooling Capacity (Refrig/Tons) Origin of Controller 3rd Party Off-the-Shelf Component Integration Customer Assembled Start Date 2005/03/01 Monitoring Termination Date 1969/12/31

Note: This page contains sample records for the topic "demand distributed generation" 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 Generation Study/Elgin Community College | Open Energy  

Open Energy Info (EERE)

Elgin Community College Elgin Community College < Distributed Generation Study Jump to: navigation, search Study Location Elgin, Illinois Site Description Institutional-School/University Study Type Case Study Technology Internal Combustion Engine Prime Mover Waukesha VHP5108GL Heat Recovery Systems Beaird Maxim Model TRP-12 Fuel Natural Gas System Installer Morse Electric Company System Enclosure Indoor System Application Combined Heat and Power Number of Prime Movers 4 Stand-alone Capability Manual Power Rating 3220 kW3.22 MW 3,220,000 W 3,220,000,000 mW 0.00322 GW 3.22e-6 TW Nominal Voltage (V) 4160 Heat Recovery Rating (BTU/hr) 11200000 Cooling Capacity (Refrig/Tons) 550 Origin of Controller 3rd Party Off-the-Shelf Component Integration Customer Assembled Start Date 1997/05/01

222

Distributed Generation Study/Wyoming County Community Hospital | Open  

Open Energy Info (EERE)

Wyoming County Community Hospital Wyoming County Community Hospital < Distributed Generation Study Jump to: navigation, search Study Location Warsaw, New York Site Description Institutional-Hospital/Health Care Study Type Long-term Monitoring Technology Internal Combustion Engine Prime Mover Waukesha VGF L36GSID Heat Recovery Systems Built-in Fuel Natural Gas System Installer Gerster Trane System Enclosure Indoor System Application Combined Heat and Power Number of Prime Movers 1 Stand-alone Capability Seamless Power Rating 560 kW0.56 MW 560,000 W 560,000,000 mW 5.6e-4 GW 5.6e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 1000000 Cooling Capacity (Refrig/Tons) Origin of Controller 3rd Party Off-the-Shelf Component Integration Customer Assembled Start Date 2001/09/26

223

Distributed Generation Study/Patterson Farms CHP System Using Renewable  

Open Energy Info (EERE)

Farms CHP System Using Renewable Farms CHP System Using Renewable Biogas < Distributed Generation Study Jump to: navigation, search Study Location Auburn, New York Site Description Agricultural Study Type Field Test Technology Internal Combustion Engine Prime Mover Caterpillar G379 Heat Recovery Systems Built-in Fuel Biogas System Installer Martin Machinery System Enclosure Dedicated Shelter System Application Combined Heat and Power Number of Prime Movers 1 Stand-alone Capability None Power Rating 200 kW0.2 MW 200,000 W 200,000,000 mW 2.0e-4 GW 2.0e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 1366072 Cooling Capacity (Refrig/Tons) Origin of Controller 3rd Party Custom Made Component Integration Customer Assembled Start Date 2007/05/02 Monitoring Termination Date 2007/05/26

224

Distributed Generation Study/Tudor Gardens | Open Energy Information  

Open Energy Info (EERE)

Tudor Gardens Tudor Gardens < Distributed Generation Study Jump to: navigation, search Study Location New York, New York Site Description Residential-Multifamily-Single Building Study Type Long-term Monitoring Technology Internal Combustion Engine Prime Mover Tecogen CM-75 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Aegis Energy System Enclosure Indoor System Application Combined Heat and Power Number of Prime Movers 2 Stand-alone Capability None Power Rating 150 kW0.15 MW 150,000 W 150,000,000 mW 1.5e-4 GW 1.5e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 980000 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Factory Integrated Start Date 2005/07/01 Monitoring Termination Date 1969/12/31

225

Distributed Generation Study/Patterson Farms | Open Energy Information  

Open Energy Info (EERE)

Farms Farms < Distributed Generation Study Jump to: navigation, search Study Location Auburn, New York Site Description Agricultural Study Type Long-term Monitoring Technology Internal Combustion Engine Prime Mover Caterpillar G3508 Heat Recovery Systems Built-in Fuel Biogas System Installer RCM Digesters System Enclosure Outdoor System Application Combined Heat and Power Number of Prime Movers 1 Stand-alone Capability Seamless Power Rating 180 kW0.18 MW 180,000 W 180,000,000 mW 1.8e-4 GW 1.8e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 2000 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Factory Integrated Start Date 2006/03/10 Monitoring Termination Date 1969/12/31 Primary Power Application Based Load

226

Distributed Generation Study/Oakwood Health Care Center | Open Energy  

Open Energy Info (EERE)

Oakwood Health Care Center Oakwood Health Care Center < Distributed Generation Study Jump to: navigation, search Study Location Williamsville, New York Site Description Institutional-Hospital/Health Care Study Type Long-term Monitoring Technology Internal Combustion Engine Prime Mover Waukesha VGF 18GLD Heat Recovery Systems Built-in Fuel Natural Gas System Installer Gerster Trane System Enclosure Indoor System Application Combined Heat and Power Number of Prime Movers 2 Stand-alone Capability Seamless Power Rating 600 kW0.6 MW 600,000 W 600,000,000 mW 6.0e-4 GW 6.0e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 2800000 Cooling Capacity (Refrig/Tons) Origin of Controller 3rd Party Off-the-Shelf Component Integration Customer Assembled Start Date 2001/12/20 Monitoring Termination Date 2003/01/03

227

Distributed Generation Study/Matlink Farm | Open Energy Information  

Open Energy Info (EERE)

Matlink Farm Matlink Farm < Distributed Generation Study Jump to: navigation, search Study Location Clymers, New York Site Description Agricultural Study Type Long-term Monitoring Technology Internal Combustion Engine Prime Mover Waukesha 145 Heat Recovery Systems Built-in Fuel Biogas System Installer Martin Machine System Enclosure Outdoor System Application Combined Heat and Power Number of Prime Movers 1 Stand-alone Capability None Power Rating 145 kW0.145 MW 145,000 W 145,000,000 mW 1.45e-4 GW 1.45e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 1500000 Cooling Capacity (Refrig/Tons) Origin of Controller 3rd Party Off-the-Shelf Component Integration Customer Assembled Start Date 2004/10/28 Monitoring Termination Date 2005/07/16 Primary Power Application Based Load

228

Distributed Generation Study/Modern Landfill | Open Energy Information  

Open Energy Info (EERE)

Landfill Landfill < Distributed Generation Study Jump to: navigation, search Study Location Model City, New York Site Description Other Utility Study Type Long-term Monitoring Technology Internal Combustion Engine Prime Mover Caterpillar G3516 Heat Recovery Systems Built-in Fuel Biogas System Installer Innovative Energy Systems System Enclosure Dedicated Shelter System Application Combined Heat and Power Number of Prime Movers 7 Stand-alone Capability Seamless Power Rating 5600 kW5.6 MW 5,600,000 W 5,600,000,000 mW 0.0056 GW 5.6e-6 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 28000000 Cooling Capacity (Refrig/Tons) Origin of Controller 3rd Party Off-the-Shelf Component Integration Customer Assembled Start Date 2004/12/31 Monitoring Termination Date 1969/12/31

229

Distributed Generation Study/VIP Country Club | Open Energy Information  

Open Energy Info (EERE)

VIP Country Club VIP Country Club < Distributed Generation Study Jump to: navigation, search Study Location New Rochelle, New York Site Description Commercial-Other Study Type Long-term Monitoring Technology Microturbine Prime Mover Capstone C60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer Advanced Power Systems System Enclosure Indoor System Application Combined Heat and Power Number of Prime Movers 3 Stand-alone Capability Seamless Power Rating 180 kW0.18 MW 180,000 W 180,000,000 mW 1.8e-4 GW 1.8e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 750000 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Factory Integrated Start Date 2006/01/24 Monitoring Termination Date 1969/12/31 Primary Power Application Based Load

230

Distributed Generation Study/Waldbaums Supermarket | Open Energy  

Open Energy Info (EERE)

Waldbaums Supermarket Waldbaums Supermarket < Distributed Generation Study Jump to: navigation, search Study Location Hauppauge, New York Site Description Commercial-Supermarket Study Type Long-term Monitoring Technology Microturbine Prime Mover Capstone C60 Heat Recovery Systems Unifin HX Fuel Natural Gas System Installer CDH Energy Corp. System Enclosure Outdoor System Application Combined Heat and Power Number of Prime Movers 1 Stand-alone Capability None Power Rating 60 kW0.06 MW 60,000 W 60,000,000 mW 6.0e-5 GW 6.0e-8 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 500000 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Factory Integrated Start Date 2002/08/02 Monitoring Termination Date 2006/07/21 Primary Power Application Based Load

231

SOLID OXIDE FUEL CELL HYBRID SYSTEM FOR DISTRIBUTED POWER GENERATION  

SciTech Connect (OSTI)

This report summarizes the work performed by Honeywell during the July 2001 to September 2001 reporting period under Cooperative Agreement DE-FC26-01NT40779 for the U. S. Department of Energy, National Energy Technology Laboratory (DOE/NETL) entitled ''Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation''. The main objective of this project is to develop and demonstrate the feasibility of a highly efficient hybrid system integrating a planar Solid Oxide Fuel Cell (SOFC) and a turbogenerator. An internal program kickoff was held at Honeywell in Torrance, CA. The program structure was outlined and the overall technical approach for the program was presented to the team members. Detail program schedules were developed and detailed objectives were defined. Initial work has begun on the system design and pressurized SOFC operation.

Unknown

2002-03-01T23:59:59.000Z

232

Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation  

SciTech Connect (OSTI)

This report summarizes the work performed by Honeywell during the January 2002 to March 2002 reporting period under Cooperative Agreement DE-FC26-01NT40779 for the U. S. Department of Energy, National Energy Technology Laboratory (DOE/NETL) entitled ''Solid Oxide Fuel Cell Hybrid System for Distributed Power Generation''. The main objective of this project is to develop and demonstrate the feasibility of a highly efficient hybrid system integrating a planar Solid Oxide Fuel Cell (SOFC) and a turbogenerator. For this reporting period the following activities have been carried out: {lg_bullet} Conceptual system design trade studies were performed {lg_bullet} System-level performance model was created {lg_bullet} Dynamic control models are being developed {lg_bullet} Mechanical properties of candidate heat exchanger materials were investigated {lg_bullet} SOFC performance mapping as a function of flow rate and pressure was completed

Nguyen Minh

2002-03-31T23:59:59.000Z

233

Advanced Distributed Generation LLC ADG | Open Energy Information  

Open Energy Info (EERE)

LLC ADG LLC ADG Jump to: navigation, search Name Advanced Distributed Generation LLC (ADG) Place Toledo, Ohio Zip OH 43607 Product ADG is a general contracting company specializing in the design and installation of photovoltaic (PV) systems. Coordinates 46.440613°, -122.847838° 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":46.440613,"lon":-122.847838,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

234

Distributed generation capabilities of the national energy modeling system  

SciTech Connect (OSTI)

This report describes Berkeley Lab's exploration of how the National Energy Modeling System (NEMS) models distributed generation (DG) and presents possible approaches for improving how DG is modeled. The on-site electric generation capability has been available since the AEO2000 version of NEMS. Berkeley Lab has previously completed research on distributed energy resources (DER) adoption at individual sites and has developed a DER Customer Adoption Model called DER-CAM. Given interest in this area, Berkeley Lab set out to understand how NEMS models small-scale on-site generation to assess how adequately DG is treated in NEMS, and to propose improvements or alternatives. The goal is to determine how well NEMS models the factors influencing DG adoption and to consider alternatives to the current approach. Most small-scale DG adoption takes place in the residential and commercial modules of NEMS. Investment in DG ultimately offsets purchases of electricity, which also eliminates the losses associated with transmission and distribution (T&D). If the DG technology that is chosen is photovoltaics (PV), NEMS assumes renewable energy consumption replaces the energy input to electric generators. If the DG technology is fuel consuming, consumption of fuel in the electric utility sector is replaced by residential or commercial fuel consumption. The waste heat generated from thermal technologies can be used to offset the water heating and space heating energy uses, but there is no thermally activated cooling capability. This study consists of a review of model documentation and a paper by EIA staff, a series of sensitivity runs performed by Berkeley Lab that exercise selected DG parameters in the AEO2002 version of NEMS, and a scoping effort of possible enhancements and alternatives to NEMS current DG capabilities. In general, the treatment of DG in NEMS is rudimentary. The penetration of DG is determined by an economic cash-flow analysis that determines adoption based on the n umber of years to a positive cash flow. Some important technologies, e.g. thermally activated cooling, are absent, and ceilings on DG adoption are determined by some what arbitrary caps on the number of buildings that can adopt DG. These caps are particularly severe for existing buildings, where the maximum penetration for any one technology is 0.25 percent. On the other hand, competition among technologies is not fully considered, and this may result in double-counting for certain applications. A series of sensitivity runs show greater penetration with net metering enhancements and aggressive tax credits and a more limited response to lowered DG technology costs. Discussion of alternatives to the current code is presented in Section 4. Alternatives or improvements to how DG is modeled in NEMS cover three basic areas: expanding on the existing total market for DG both by changing existing parameters in NEMS and by adding new capabilities, such as for missing technologies; enhancing the cash flow analysis but incorporating aspects of DG economics that are not currently represented, e.g. complex tariffs; and using an external geographic information system (GIS) driven analysis that can better and more intuitively identify niche markets.

LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

235

Quantifying the Air Pollution Exposure Consequences of Distributed Electricity Generation  

E-Print Network [OSTI]

Solar Turbines Inc Olinda Generating Plant Marina Landfill GasSolar Turbines Inc Olinda Generating Plant Marina Landfill Gas

Heath, Garvin A.; Granvold, Patrick W.; Hoats, Abigail S.; Nazaroff, William W

2005-01-01T23:59:59.000Z

236

GENERATING SYNCHRONIZABLE TEST SEQUENCES BASED ON FINITE STATE MACHINE WITH DISTRIBUTED PORTS1  

E-Print Network [OSTI]

GENERATING SYNCHRONIZABLE TEST SEQUENCES BASED ON FINITE STATE MACHINE WITH DISTRIBUTED PORTS1 Gang with several distributed interfaces, called ports. A test generation method is developed for generating test generation and fault detectability. Several types of such interfaces have been standardized

von Bochmann, Gregor

237

A Model of U.S. Commercial Distributed Generation Adoption  

SciTech Connect (OSTI)

Small-scale (100 kW-5 MW) on-site distributed generation (DG) economically driven by combined heat and power (CHP) applications and, in some cases, reliability concerns will likely emerge as a common feature of commercial building energy systems over the next two decades. Forecasts of DG adoption published by the Energy Information Administration (EIA) in the Annual Energy Outlook (AEO) are made using the National Energy Modeling System (NEMS), which has a forecasting module that predicts the penetration of several possible commercial building DG technologies over the period 2005-2025. NEMS is also used for estimating the future benefits of Department of Energy research and development used in support of budget requests and management decisionmaking. The NEMS approach to modeling DG has some limitations, including constraints on the amount of DG allowed for retrofits to existing buildings and a small number of possible sizes for each DG technology. An alternative approach called Commercial Sector Model (ComSeM) is developed to improve the way in which DG adoption is modeled. The approach incorporates load shapes for specific end uses in specific building types in specific regions, e.g., cooling in hospitals in Atlanta or space heating in Chicago offices. The Distributed Energy Resources Customer Adoption Model (DER-CAM) uses these load profiles together with input cost and performance DG technology assumptions to model the potential DG adoption for four selected cities and two sizes of five building types in selected forecast years to 2022. The Distributed Energy Resources Market Diffusion Model (DER-MaDiM) is then used to then tailor the DER-CAM results to adoption projections for the entire U.S. commercial sector for all forecast years from 2007-2025. This process is conducted such that the structure of results are consistent with the structure of NEMS, and can be re-injected into NEMS that can then be used to integrate adoption results into a full forecast.

LaCommare, Kristina Hamachi; Ryan Firestone; Zhou, Nan; Maribu,Karl; Marnay, Chris

2006-01-10T23:59:59.000Z

238

Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation  

Broader source: Energy.gov [DOE]

Imagine a grid where utilities and consumers work together to alleviate congestion and meet growing energy demands. RDSI is working to facilitate this reality by focusing on the integration of on...

239

GRR/Section 8-TX-c - Distributed Generation Interconnection | Open Energy  

Open Energy Info (EERE)

GRR/Section 8-TX-c - Distributed Generation Interconnection GRR/Section 8-TX-c - Distributed Generation Interconnection < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 8-TX-c - Distributed Generation Interconnection 8-TX-c - Distributed Generation Interconnection.pdf Click to View Fullscreen Contact Agencies Public Utility Commission of Texas Regulations & Policies PUCT Substantive Rule 25.211 PUCT Substantive Rule 25.212 Triggers None specified Click "Edit With Form" above to add content 8-TX-c - Distributed Generation Interconnection.pdf 8-TX-c - Distributed Generation Interconnection.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative This flowchart illustrates the process for distributed generation (DG)

240

Distributed Generation Investment by a Microgrid under Uncertainty  

E-Print Network [OSTI]

Cost of Natural Gas Generation, p Figure 6. Normalised NetCost of Natural Gas Generation, p Figure 7. Wait InvestCost of Natural Gas Generation (US$/kWh e ), C Figure 8.

Siddiqui, Afzal

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Modeling, control, and power management of a power electrical system including two distributed generators based on fuel cell and supercapacitor  

Science Journals Connector (OSTI)

This paper focuses on Distributed Generator (DG) integration in Power Electrical System (PES) for dispersed nodes. The main objective of the DG use can be classified into two aspects: a load following service and ancillary service systems. In this study the DG system contains a Fuel cell and a Supercapacitor storage device. A gas turbine system is modeled in order to estimate the PES frequency behavior under a variable power demand. The main goal of this work is to develop a DG control strategy with the aim to smooth the frequency and the voltage peak variations. To assess the different management stages the power flow exchanged between DGs and PES is depicted and discussed for different power demand variations. The results found with the DGs integration strategy confirm the frequency and voltage regulations and also prove the well power flow management.

L. Krichen

2013-01-01T23:59:59.000Z

242

Demand Reduction  

Broader source: Energy.gov [DOE]

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

243

The Potential Benefits of Distributed Generation and the Rate-Related  

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

The Potential Benefits of Distributed Generation and the The Potential Benefits of Distributed Generation and the Rate-Related Issues That May Impede Its Expansion The Potential Benefits of Distributed Generation and the Rate-Related Issues That May Impede Its Expansion The Potential Benefits of Distributed Generation and the Rate-Related Issues That May Impede Its Expansion. Report Pursuant to Section 1817 of the Energy Policy Act of 2005. The Potential Benefits of Distributed Generation and the Rate-Related Issues That May Impede Its Expansion More Documents & Publications The potential benefits of distributed deneration and rate-related issues that may impede issues its expansion. June 2007 Notice of inquiry and request for Information - Study of the potential benefits of distributed generation: Federal Register Notice Volume 71, No.

244

Fuel cell power plants in a distributed generator application  

SciTech Connect (OSTI)

ONSI`s (a subsidiary of International Fuel Cells Corporation) world wide fleet of 200-kW PC25{trademark} phosphoric acid fuel cell power plants which began operation early in 1992 has shown excellent performance and reliability in over 1 million hours of operation. This experience has verified the clean, quiet, reliable operation of the PC25 and confirmed its application as a distributed generator. Continuing product development efforts have resulted in a one third reduction of weight and volume as well as improved installation and operating characteristics for the PC25 C model. Delivery of this unit began in 1995. International Fuel Cells (IFC) continues its efforts to improve product design and manufacturing processes. This progress has been sustained at a compounded rate of 10 percent per year since the late 1980`s. These improvements will permit further reductions in the initial cost of the power plant and place increased emphasis on market development as the pacing item in achieving business benefits from the PC25 fuel cell. Derivative product opportunities are evolving with maturation of the technologies in a commercial environment. The recent announcement of Praxair, Inc., and IFC introducing a non-cryogenic hydrogen supply system utilizing IFC`s steam reformer is an example. 11 figs.

Smith, M.J. [International Fuel Cells Corp., South Windsor, CT (United States)

1996-12-31T23:59:59.000Z

245

Optimal planning of distributed generation systems in distribution system: A review  

Science Journals Connector (OSTI)

This paper attempts to present the state of art of research work carried out on the optimal planning of distributed generation (DG) systems under different aspects. There are number of important issues to be considered while carrying out studies related to the planning and operational aspects of DG. The planning of the electric system with the presence of DG requires the definition of several factors, such as: the best technology to be used, the number and the capacity of the units, the best location, the type of network connection, etc. The impact of DG in system operating characteristics, such as electric losses, voltage profile, stability and reliability needs to be appropriately evaluated. For that reason, the use of an optimization method capable of indicating the best solution for a given distribution network can be very useful for the system planning engineer, when dealing with the increase of DG penetration that is happening nowadays. The selection of the best places for installation and the preferable size of the DG units in large distribution systems is a complex combinatorial optimization problem. This paper aims at providing a review of the relevant aspects related to DG and its impact that DG might have on the operation of distributed networks. This paper covers the review of basics of DG, DG definition, current status of DG technologies, potential advantages and disadvantages, review for optimal placement of DG systems, optimizations techniques/methodologies used in optimal planning of DG in distribution systems. An attempt has been made to judge that which methodologies/techniques are suitable for optimal placement of DG systems based on the available literature and detail comparison(s) of each one.

Rajkumar Viral; D.K. Khatod

2012-01-01T23:59:59.000Z

246

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

247

Evaluation of distributed building thermal energy storage in conjunction with wind and solar electric power generation  

Science Journals Connector (OSTI)

Abstract Energy storage is often seen as necessary for the electric utility systems with large amounts of solar or wind power generation to compensate for the inability to schedule these facilities to match power demand. This study looks at the potential to use building thermal energy storage as a load shifting technology rather than traditional electric energy storage. Analyses are conducted using hourly electric load, temperature, wind speed, and solar radiation data for a 5-state central U.S. region in conjunction with simple computer simulations and economic models to evaluate the economic benefit of distributed building thermal energy storage (TES). The value of the TES is investigated as wind and solar power generation penetration increases. In addition, building side and smart grid enabled utility side storage management strategies are explored and compared. For a relative point of comparison, batteries are simulated and compared to TES. It is found that cooling TES value remains approximately constant as wind penetration increases, but generally decreases with increasing solar penetration. It is also clearly shown that the storage management strategy is vitally important to the economic value of TES; utility side operating methods perform with at least 75% greater value as compared to building side management strategies. In addition, TES compares fairly well against batteries, obtaining nearly 90% of the battery value in the base case; this result is significant considering TES can only impact building thermal loads, whereas batteries can impact any electrical load. Surprisingly, the value of energy storage does not increase substantially with increased wind and solar penetration and in some cases it decreases. This result is true for both TES and batteries and suggests that the tie between load shifting energy storage and renewable electric power generation may not be nearly as strong as typically thought.

Byron W. Jones; Robert Powell

2015-01-01T23:59:59.000Z

248

Generators for Synthesis of QoS Adaptation in Distributed Real-Time Embedded Systems  

Science Journals Connector (OSTI)

This paper presents a model-driven approach for generating Quality-of-Service (QoS) adaptation in Distributed Real-Time Embedded (DRE) systems. The ... - the Adaptive Quality Modeling Language. Multiple generators

Sandeep Neema; Ted Bapty; Jeff Gray

2002-01-01T23:59:59.000Z

249

Artificial Neural Network Based Approach for Anti-islanding Protection of Distributed Generators  

Science Journals Connector (OSTI)

The anti-islanding protection of synchronous generators is typically performed by voltage and frequency ... is possible to recognize existent patterns on the distributed generator voltage waveform, which makes po...

Victor Luiz Merlin

2014-06-01T23:59:59.000Z

250

Methods of calculating currents of induction, self-excited generators with two distributed windings  

Science Journals Connector (OSTI)

A simplified way of calculating the current frequency of induction self-excited generator with two distributed windings on the stator is suggested. It ... do not influence the current frequency of the generator; ...

S. I. Kitsis; D. N. Pautov

2009-04-01T23:59:59.000Z

251

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.

252

Micro-grid operation of inverter based distributed generation with voltage and frequency dependent loads  

E-Print Network [OSTI]

Distribution systems are experiencing increasing penetration of distributed generation (DG). One attractive option is to use the available DG capacity during utility outages by forming planned micro-grids. Load sharing ...

Zeineldin, H. H.

253

A Study of Distributed Generation System Characteristics and Protective Load Control Strategy  

E-Print Network [OSTI]

turbines: Doubly-fed Induction Generator (DFIG) and Fixed-speed Wind Turbine (FSWT) are compared), Distributed Generation System (DGS), Doubly- fed Induction Generator (DFIG), Fixed-speed Wind Turbine (FSWT (FSWT) and doubly-fed induction generator wind turbine (DFIG) have different characteristics, when

Chen, Zhe

254

A distributed parameter model for the torsional vibration analysis of turbine-generator shafts  

Science Journals Connector (OSTI)

A distributed parameter model is presented for the calculation of torsional vibrations of large turbine-generator shafts, on the basis of electrical analogy...

A. Deri; L. Kiss; G. Toth

1987-01-01T23:59:59.000Z

255

Intelligent Power Management of a Hybrid Fuel Cell/Energy Storage Distributed Generator  

Science Journals Connector (OSTI)

This book chapter addresses the intelligent power management of a hybrid ( fuel cell/energy storage( distributed generator connected to a power grid. It presents...

Amin Hajizadeh; Ali Feliachi; Masoud Aliakbar Golkar

2012-01-01T23:59:59.000Z

256

Distributed Generation Investment by a Microgrid Under Uncertainty  

E-Print Network [OSTI]

DG) and combined heat and power (CHP) applications matchedpower generation with combined heat and power applications,tax on microgrid combined heat and power adoption, Journal

Siddiqui, Afzal; Marnay, Chris

2006-01-01T23:59:59.000Z

257

Most Viewed Documents for Power Generation and Distribution:...  

Office of Scientific and Technical Information (OSTI)

Methods for Power Distribution Systems: Final Report Tom McDermott (2010) 34 Industrial Power Factor Analysis Guidebook. Electrotek Concepts. (1995) 29 Recovery of Water from...

258

Future of Distributed Generation and IEEE 1547 (Presentation)  

SciTech Connect (OSTI)

This presentation discusses the background on IEEE 1547, including its purpose, changes, new boundary issues and requirements, islanding issues, and how it impacts distributed wind.

Preus, R.

2014-06-01T23:59:59.000Z

259

A genetic algorithm approach to voltage-VAR control in systems with distributed generation  

Science Journals Connector (OSTI)

This paper presents a case study that highlights the influences which the connection of distributed generation sources may have over the solutions of reactive power compensation and voltage control already existing in a given network. The problem of ... Keywords: distributed generation, genetic algorithms, renewable sources, voltage-var control

Iulia Coroama; Mihai Gavrilas; Ovidiu Ivanov

2010-10-01T23:59:59.000Z

260

Bulk ACCVD Generation of SWNTs with Narrow Chirality Distribution Shigeo Maruyama1)  

E-Print Network [OSTI]

Bulk ACCVD Generation of SWNTs with Narrow Chirality Distribution Shigeo Maruyama1) , Yuhei-1, Sonoyama 1-chome, Otsu, Shiga 520-8558, Japan By scaling up the alcohol CCVD (ACCVD) generation technique to determine the chirality distribution of SWNTs, dispersed and centrifuged SWNTs in NaDDBS/D2O was examined

Maruyama, Shigeo

Note: This page contains sample records for the topic "demand distributed generation" 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

Generation of high-resolution surface temperature distributions Anton A. Darhuber and Sandra M. Troiana)  

E-Print Network [OSTI]

Generation of high-resolution surface temperature distributions Anton A. Darhuber and Sandra M have performed numerical calculations to study the generation of arbitrary temperature profiles with high spatial resolution on the surface of a solid. The characteristics of steady-state distributions

Troian, Sandra M.

262

Autonomous Control of Inverter-Interfaced Distributed Generation Units for Harmonic Current Filtering and  

E-Print Network [OSTI]

Autonomous Control of Inverter-Interfaced Distributed Generation Units for Harmonic Current-interfaced Distributed Generation (DG) units, which can autonomously share harmonic currents and resonance damping, such that harmonic resonances and voltage distortions can be damped. To autonomously share harmonic currents, a droop

Chen, Zhe

263

Distributed Private-Key Generators for Identity-Based Cryptography  

Science Journals Connector (OSTI)

An identity-based encryption (IBE) scheme can greatly reduce the complexity of sending encrypted messages. However, an IBE scheme necessarily requires a private-key generator (PKG), which can create private keys ...

Aniket Kate; Ian Goldberg

2010-01-01T23:59:59.000Z

264

Distributed Generation Investment by a Microgrid under Uncertainty  

E-Print Network [OSTI]

power generation with combined heat and power applications.tax on microgrid combined heat and power adoption. JournalCHP Application Center. Combined heat and power in a dairy.

Siddiqui, Afzal

2008-01-01T23:59:59.000Z

265

Distributed Online Learning of Central Pattern Generators in Modular Robots  

Science Journals Connector (OSTI)

In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimizes the parameters of coupled oscillator...

David Johan Christensen; Alexander Sprwitz

2010-01-01T23:59:59.000Z

266

A new HBMO algorithm for multiobjective daily Volt/Var control in distribution systems considering Distributed Generators  

Science Journals Connector (OSTI)

In recent years, Distributed Generators (DGs) connected to the distribution network have received increasing attention. The connection of enormous \\{DGs\\} into existing distribution network changes the operation of distribution systems. Because of the small X/R ratio and radial structure of distribution systems, \\{DGs\\} affect the daily Volt/Var control. This paper presents a new algorithm for multiobjective daily Volt/Var control in distribution systems including Distributed Generators (DGs). The objectives are costs of energy generation by \\{DGs\\} and distribution companies, electrical energy losses and the voltage deviations for the next day. A new optimization algorithm based on a Chaotic Improved Honey Bee Mating Optimization (CIHBMO) is proposed to determine the active power values of DGs, reactive power values of capacitors and tap positions of transformers for the next day. Since objectives are not the same, a fuzzy system is used to calculate the best solution. The plausibility of the proposed algorithm is demonstrated and its performance is compared with other methods on a 69-bus distribution feeder. Simulation results illustrate that the proposed algorithm has better outperforms the other algorithms.

Taher Niknam

2011-01-01T23:59:59.000Z

267

A demand responsive bidding mechanism with price elasticity matrix in wholesale electricity pools ; A demand responsive bidding mechanism with price elasticity matrix .  

E-Print Network [OSTI]

??In the past several decades, many demand-side participation features have been applied in the electricity power systems. These features, such as distributed generation, on-site storage (more)

Wang, Jiankang, Ph. D. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

268

Uncertainty Analysis of the Adequacy Assessment Model of a Distributed Generation System  

E-Print Network [OSTI]

of evidence theory, the hybrid propagation approach is introduced. A demonstration is given on a DG system enables end-users to install renewable generators (e.g. solar generators and wind turbines) on1 Uncertainty Analysis of the Adequacy Assessment Model of a Distributed Generation System Yanfu Li

Paris-Sud XI, Université de

269

hal-00015991,version2-14Nov2006 Gibbs distributions for random partitions generated by a  

E-Print Network [OSTI]

hal-00015991,version2-14Nov2006 Gibbs distributions for random partitions generated) distribution is obtained by sampling uniformly among such partitions with k clusters. We provide conditions has the Gibbs (n, k, w) distribution, so the partition is subject to irreversible fragmentation

Paris-Sud XI, Université de

270

Conversations with my washing machine: an in-the-wild study of demand shifting with self-generated energy  

Science Journals Connector (OSTI)

Domestic microgeneration is the onsite generation of low- and zero-carbon heat and electricity by private households to meet their own needs. In this paper we explore how an everyday household routine -- that of doing laundry -- can be augmented by digital ... Keywords: domestic computing, microgeneration, sustainability, user studies

Jacky Bourgeois, Janet van der Linden, Gerd Kortuem, Blaine A. Price, Christopher Rimmer

2014-09-01T23:59:59.000Z

271

Sandia National Laboratories: demand response inverter  

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

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

272

The impacts of solar water heating in low-income households on the distribution utilitys active, reactive and apparent power demands  

Science Journals Connector (OSTI)

In Brazilian low-income households, water-heating requirements are typically met by electrical showerheads. On average, 73.1% of all residential units in the country are equipped with these resistance-heating devices, with nominal powers ranging from 3 to 8kW. This situation imposes a considerable burden on the electricity utility companies, since electrical showerheads typically represent the highest load but the lowest utilization (load factor) in a residential consumer unit. Furthermore, typical utilization times coincide with, and contribute to, the electrical power demand peaks in Brazil, rendering these low-cost, high-power electrical devices a high-cost consumer for the electrical system to cater for. For low-income residential consumers, electricity tariffs are subsidized, and utilities must therefore make a considerable investment in infrastructure for a limited return. In this paper we analyze the impacts of solar water heating in low-income households on the distribution utility active, reactive and apparent power demands. We have monitored a statistically representative group of low-income residences equipped with a compact domestic solar water heater in Florianopolis Brazil for 1year. We show that in comparison with identical residential units using electrical showerheads, with the adoption of solar water heating the reductions in the active, reactive and apparent power demands on the distribution utility were 49%, 29% and 49% respectively.

Helena F. Naspolini; Ricardo Rther

2011-01-01T23:59:59.000Z

273

OPTIMAL DISTRIBUTED POWER GENERATION UNDER NETWORK LOAD CONSTRAINTS,  

E-Print Network [OSTI]

-producers. Decentralized Power Generation (DPG) refers to an electric power source such as solar, wind or combined heat (the approach used in the traditional electric power paradigm), DPG systems employ numerous, but small¨EL BLOEMHOF, JOOST BOSMAN§, DAAN CROMMELIN¶, JASON FRANK , AND GUANGYUAN YANG Abstract. In electrical power

Frank, Jason

274

Distributed State Space Generation of Discrete-State Stochastic Models  

E-Print Network [OSTI]

of the numerical approach, since the size of the state space can easily be orders of magnitude larger than the main charts [17], and ad hoc textual languages [14], the correct logical behavior can, in principle--it makes sense to distribute the state-space principally when one has to in order to avoid paging overhead

Ciardo, Gianfranco

275

Energy demand  

Science Journals Connector (OSTI)

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

Geoffrey Greenhalgh

1980-01-01T23:59:59.000Z

276

Distributed Generation versus Centralised Supply: a Social Cost-Benefit Analysis  

E-Print Network [OSTI]

, regulators and legislators in distributed generation (DG), namely, the integrated or stand-alone use of small, modular power generation close to the point of consumption as an alternative to large power generation and electricity transport over long distances... condensing boiler providing heat for space heating and sanitary uses (hot water). A conventional compressing refrigerator supplies cold for air conditioning. Imported electricity is assumed to be generated by a combined cycle-gas turbine plant (CCGT), with 51...

Gulli, Francesco

2004-06-16T23:59:59.000Z

277

Distributed Generation and Renewable Energy in the Electric Cooperative Sector  

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

Generation and Generation and Renewable Energy in the Electric Cooperative Sector Ed Torrero Cooperative Research Network (CRN) National Rural Electric Cooperative Association September 22, 2004 Co-op Basics  Customer owned  Serve 35 million people in 47 states  75 percent of nation's area  2.3 million miles of line is close to half of nation's total  Growth rate twice that of IOU Electrics  Six customers per line-mile vs 33 for IOU  Co-ops view DP as a needed solution; not as a "problem" Broad Range of Technologies Chugach EA 1-MW Fuel Cell Installation Post Office in Anchorage, AK Chugach EA Microturbine Demo Unit at Alaska Village Electric Co-op CRN Transportable 200kW Fuel Cell at Delta- Montrose EA in Durango, CO Plug Power Fuel Cell at Fort Jackson, SC

278

Integrated operation of electric vehicles and renewable generation in a smart distribution system  

Science Journals Connector (OSTI)

Abstract Distribution system complexity is increasing mainly due to technological innovation, renewable Distributed Generation (DG) and responsive loads. This complexity makes difficult the monitoring, control and operation of distribution networks for Distribution System Operators (DSOs). In order to cope with this complexity, a novel method for the integrated operational planning of a distribution system is presented in this paper. The method introduces the figure of the aggregator, conceived as an intermediate agent between end-users and DSOs. In the proposed method, energy and reserve scheduling is carried out by both aggregators and DSO. Moreover, Electric Vehicles (EVs) are considered as responsive loads that can participate in ancillary service programs by providing reserve to the system. The efficiency of the proposed method is evaluated on an 84-bus distribution test system. Simulation results show that the integrated scheduling of \\{EVs\\} and renewable generators can mitigate the negative effects related to the uncertainty of renewable generation.

Alireza Zakariazadeh; Shahram Jadid; Pierluigi Siano

2015-01-01T23:59:59.000Z

279

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

280

Solar Valuation and the Modern Utility's Expansion into Distributed Generation  

Science Journals Connector (OSTI)

Residential solar's diffusion across the U.S. power grid is inspiring concern in the utility industry. Of particular debate have been net energy metering policies (NEM), which engender revenue losses and lead to cross-subsidization of solar customers by non-solar customers. An emerging alternative to NEM is the value of solar tariff (VOST), which is designed to pay residential solar generation based on a more nuanced benefit-cost analysis to determine the actual value of residential solar to utility operations.

Griselda Blackburn; Clare Magee; Varun Rai

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Novel Control of PV Solar and Wind Farm Inverters as STATCOM for Increasing Connectivity of Distributed Generators.  

E-Print Network [OSTI]

??The integration of distributed generators (DGs) such as wind farms and PV solar farms in distribution networks is getting severely constrained due to problems of (more)

AC, Mahendra

2013-01-01T23:59:59.000Z

282

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

283

Distributed Central Pattern Generator Model for Robotics Application Based on Phase Sensitivity Analysis  

Science Journals Connector (OSTI)

A method is presented to predict phase relationships between coupled phase oscillators. As an illustration of how the method can be applied, a distributed Central Pattern Generator (CPG) model based on amplitude ...

Jonas Buchli; Auke Jan Ijspeert

2004-01-01T23:59:59.000Z

284

Applying epoch-era analysis for homeowner selection of distributed generation power systems  

E-Print Network [OSTI]

The current shift from centralized energy generation to a more distributed model has opened a number of choices for homeowners to provide their own power. While there are a number of systems to purchase, there are no tools ...

Pia, Alexander L

2014-01-01T23:59:59.000Z

285

On making energy demand and network constraints compatible in the last mile of the power grid  

Science Journals Connector (OSTI)

Abstract In the classical electricity grid power demand is nearly instantaneously matched by power supply. In this paradigm, the changes in power demand in a low voltage distribution grid are essentially nothing but a disturbance that is compensated for by control at the generators. The disadvantage of this methodology is that it necessarily leads to a transmission and distribution network that must cater for peak demand. So-called smart meters and smart grid technologies provide an opportunity to change this paradigm by using demand side energy storage to moderate instantaneous power demand so as to facilitate the supply-demand match within network limitations. A receding horizon model predictive control method can be used to implement this idea. In this paradigm demand is matched with supply, such that the required customer energy needs are met but power demand is moderated, while ensuring that power flow in the grid is maintained within the safe operating region, and in particular peak demand is limited. This enables a much higher utilisation of the available grid infrastructure, as it reduces the peak-to-base demand ratio as compared to the classical control methodology of power supply following power demand. This paper investigates this approach for matching energy demand to generation in the last mile of the power grid while maintaining all network constraints through a number of case studies involving the charging of electric vehicles in a typical suburban low voltage distribution network in Melbourne, Australia.

Iven Mareels; Julian de Hoog; Doreen Thomas; Marcus Brazil; Tansu Alpcan; Derek Jayasuriya; Valentin Menzel; Lu Xia; Ramachandra Rao Kolluri

2014-01-01T23:59:59.000Z

286

Generating multipartite entangled states of qubits distributed in different cavities  

E-Print Network [OSTI]

Cavity-based large-scale quantum information processing (QIP) needs a large number of qubits and placing all of them in a single cavity quickly runs into many fundamental and practical problems such as the increase of cavity decay rate and decrease of qubit-cavity coupling strength. Therefore, future QIP most likely will require quantum networks consisting of a large number of cavities, each hosting and coupled to multiple qubits. In this work, we propose a way to prepare a $W$-class entangled state of spatially-separated multiple qubits in different cavities, which are connected to a coupler qubit. Because no cavity photon is excited, decoherence caused by the cavity decay is greatly suppressed during the entanglement preparation. This proposal needs only one coupler qubit and one operational step, and does not require using a classical pulse, so that the engineering complexity is much reduced and the operation is greatly simplified. As an example of the experimental implementation, we further give a numerical analysis, which shows that high-fidelity generation of the $W$ state using three superconducting phase qubits each embedded in a one-dimensional transmission line resonator is feasible within the present circuit QED technique. The proposal is quite general and can be applied to accomplish the same task with other types of qubits such as superconducting flux qubits, charge qubits, quantum dots, nitrogen-vacancy centers and atoms.

Xiao-Ling He; Qi-Ping Su; Feng-Yang Zhang; Chui-Ping Yang

2014-10-12T23:59:59.000Z

287

A distributed data storage and processing framework for next-generation residential distribution systems  

Science Journals Connector (OSTI)

Abstract As the number of smart meters/sensors increases to more than hundreds of thousands, it is rather intuitive that the state-of-the-art centralized information processing architecture will no longer be sustainable under such a big data explosion. Hence, an innovative data management system is urgently needed to facilitate the real-world deployment of a future residential distribution system. In this paper, we investigate a radically different approach through distributed software agents to translate the legacy centralized data storage and processing scheme to a completely distributed cyber-physical architecture. We further substantiate the proposed distributed data storage and processing framework on a proof-of-concept testbed using a cluster of low-cost and credit-card-sized single-board computers. Finally, we evaluate the proposed distributed framework and proof-of-concept testbed with a comprehensive set of performance measures.

Ni Zhang; Yu Yan; Shengyao Xu; Wencong Su

2014-01-01T23:59:59.000Z

288

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

289

Modeling and Generating Daily Changes in Market Variables Using A Multivariate Mixture of Normal Distributions  

E-Print Network [OSTI]

Modeling and Generating Daily Changes in Market Variables Using A Multivariate Mixture of Normal Distributions Jin Wang Department of Mathematics and Computer Science Valdosta State University Valdosta, GA 31698-0040 January 28, 2000 Abstract The mixture of normal distributions provides a useful extension

Wang, Jin

290

Assessment of the Distributed Generation Market Potential for Solid Oxide Fuel Cells  

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

the Distributed the Distributed Generation Market Potential for Solid Oxide Fuel Cells September 29, 2013 DOE/NETL- 342/093013 NETL Contact: Katrina Krulla Analysis Team: Arun Iyengar, Dale Keairns, Dick Newby Contributors: Walter Shelton, Travish Shulltz, Shailesh Vora OFFICE OF FOSSIL ENERGY Table of Contents Executive Summary .........................................................................................................................1 1 Introduction ...................................................................................................................................2 2 DG Market Opportunity ................................................................................................................3 3 SOFC Technology Development Plan ..........................................................................................6

291

A 10.9 GS/s, 64 Taps Distributed Waveform Generator with DAC-Assisted Current-Steering Pulse Generators in  

E-Print Network [OSTI]

A 10.9 GS/s, 64 Taps Distributed Waveform Generator with DAC-Assisted Current-Steering Pulse Generators in ¢¡¤£¦¥¨§© Digital CMOS Yunliang Zhu , Jonathan D. Zuegel , John R. Marciante , and Hui Wu, Email:hwu@ece.rochester.edu Abstract-- A distributed waveform generator (DWG) with DAC-assisted pulse

Wu, Hui

292

Performance Enhancement of Radial Distributed System with Distributed Generators by Reconfiguration Using Binary Firefly Algorithm  

Science Journals Connector (OSTI)

The extent of real power loss and voltage deviation associated with overloaded feeders in radial distribution system can be reduced by reconfiguration. Reconfiguration is normally achieved by changing the open/cl...

N. Rajalakshmi; D. Padma Subramanian

2014-08-01T23:59:59.000Z

293

Laying the Groundwork: Lessons Learned from the Telecommunications Industry for Distributed Generation; Preprint  

SciTech Connect (OSTI)

The telecommunications industry went through growing pains in the past that hold some interesting lessons for the growing distributed generation (DG) industry. The technology shifts and stakeholders involved with the historic market transformation of the telecommunications sector mirror similar factors involved in distributed generation today. An examination of these factors may inform best practices when approaching the conduits necessary to accelerate the shifting of our nation's energy system to cleaner forms of generation and use. From a technical perspective, the telecom industry in the 1990s saw a shift from highly centralized systems that had no capacity for adaptation to highly adaptive, distributed network systems. From a management perspective, the industry shifted from small, private-company structures to big, capital-intensive corporations. This presentation will explore potential correlation and outline the lessons that we can take away from this comparison.

Wise, A. L.

2008-05-01T23:59:59.000Z

294

A distributed model for capacitance requirements for self-excited induction generators  

Science Journals Connector (OSTI)

The main objective of this paper is to construct a distributed environment through which the capacitance requirements of self-excited induction generators can be monitored and controlled. A single-server/multiclient architecture has been proposed which enables that the self-excited induction generators can access the remote server at any time, with their respective data and can able to get the minimum capacitance requirements. An Remote Method Invocation (RMI)-based distributed model has been developed in such a way that for every specific period of time, the remote server obtains the system data simultaneously from the neighbouring self-excited induction generators which are the clients registered with it and the server send back the capacitance requirements as response to the respective clients. The server creates a new thread of control for every client request and hence complete distributed environment has been exploited.

K. Nithiyananthan; V. Ramachandran

2008-01-01T23:59:59.000Z

295

Using heat demand prediction to optimise Virtual Power Plant production capacity  

E-Print Network [OSTI]

1 Using heat demand prediction to optimise Virtual Power Plant production capacity Vincent Bakker is really produced by the fleet of micro- generators. When using micro Combined Heat and Power micro distributed electricity generation (micro-generation e.g. solar cells, micro Combined Heat and Power (micro

Al Hanbali, Ahmad

296

A Look Ahead at Demand Response in New England  

SciTech Connect (OSTI)

The paper describes the demand response programs developed and in operation in New England, and the revised designs for participation in the forward capacity market. This description will include how energy efficiency, demand-side resources, and distributed generation are eligible to participate in this new forward capacity market. The paper will also discuss various methods that can be used to configure and communicate with demand response resources and important concerns in specifying interfaces that accommodate multiple technologies and allow technology choice and evolution.

Burke, Robert B.; Henderson, Michael I.; Widergren, Steven E.

2008-08-01T23:59:59.000Z

297

The impact of large-scale distributed generation on power grid and microgrids  

Science Journals Connector (OSTI)

Abstract With the widespread application of distributed generation (DG), their utilization rate is increasingly higher and higher in the power system. This paper analyzes the static and transient impact of large-scale \\{DGs\\} integrated with the distribution network load models on the power grid. Studies of static voltage stability based on continuous power flow method have shown that a reasonable choice of DG's power grid position will help to improve the stability of the system. The transient simulation results show that these induction motors in the distribution network would make effect on the start-up and fault conditions, which may cause the instability of \\{DGs\\} and grid. The simulation results show that modeling of distributed generations and loads can help in-depth study of the microgrid stability and protection design.

Qian Ai; Xiaohong Wang; Xing He

2014-01-01T23:59:59.000Z

298

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

299

Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 69 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight and passenger rail, freight shipping, and miscellaneous

300

Demand Side Bidding. Final Report  

SciTech Connect (OSTI)

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

Spahn, Andrew

2003-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

transmission april may 2003 re-gen56 Privately-owned distributed generation  

E-Print Network [OSTI]

transmission grid to Distributed renewable energy systems, such as mini- hydro, can significantly affect, including mini-hydro. Mini- hydro resources are commonly found in areas with low population and load new techniques that could facilitate a greater capacity of mini- hydro generation. The first allows

Harrison, Gareth

302

Generation of communication schedules for multi-mode distributed real-time applications  

Science Journals Connector (OSTI)

A key problem in designing multi-mode real-time systems is the generation of schedules to reduce the complexities of transforming the model semantics to code. Moreover, distributed multi-mode applications are prone to suffer from delays incurred during ...

Akramul Azim; Gonzalo Carvajal; Rodolfo Pellizzoni; Sebastian Fischmeister

2014-03-01T23:59:59.000Z

303

Apply: Small Business Funding Opportunity for Lighting, Integrated Storage, and Distributed Generation  

Broader source: Energy.gov [DOE]

Closed Application Deadline: February 3, 2015 The Small Business Innovation Research program has announced its FY 2015 Phase 1 Release 2 topics, which include buildings-related topics: energy efficient solid-state lighting luminaires, products, and systems; and integrated storage and distributed generation for buildings.

304

Fuel Cell Generation in Geo-Distributed Cloud Services: A Quantitative Study  

E-Print Network [OSTI]

Fuel Cell Generation in Geo-Distributed Cloud Services: A Quantitative Study Zhi Zhou1 Fangming Liu of fuel cell energy in cloud computing, yet it is unclear what and how much benefit it may bring. This paper, for the first time, attempts to quantitatively examine the benefits brought by fuel cell

Li, Baochun

305

INTEGRATION OF PV IN DEMAND RESPONSE  

E-Print Network [OSTI]

INTEGRATION OF PV IN DEMAND RESPONSE PROGRAMS Prepared by Richard Perez et al. NREL subcontract response programs. This is because PV generation acts as a catalyst to demand response, markedly enhancing by solid evidence from three utility case studies. BACKGROUND Demand Response: demand response (DR

Perez, Richard R.

306

Q:\asufinal_0107_demand.vp  

Gasoline and Diesel Fuel Update (EIA)

00 00 (AEO2000) Assumptions to the January 2000 With Projections to 2020 DOE/EIA-0554(2000) Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution

307

Statistics for PV, wind and biomass generators and their impact on distribution grid planning  

Science Journals Connector (OSTI)

The integration of renewable energy generation leads to major challenges for distribution grid operators. When the feed-in of photovoltaic (PV), biomass and wind generators exceed significantly the local consumption, large investments are needed. To improve the knowledge on the interaction between these technologies, statistical information for load curves, correlation coefficients and general feed-in behavior is derived. These derivations are based on measured data of different generators in a German distribution area. In this paper, we give new insights useful for the dimensioning of grid structures and assets. Furthermore, an approach is presented which allows the calculation of the maximum and minimum feed-in resulting from different combinations of the considered technologies.

Stefan Nykamp; Albert Molderink; Johann L. Hurink; Gerald J.M. Smit

2012-01-01T23:59:59.000Z

308

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

309

DemandDirect | Open Energy Information  

Open Energy Info (EERE)

DemandDirect DemandDirect Jump to: navigation, search Name DemandDirect Place Woodbury, Connecticut Zip 6798 Sector Efficiency, Renewable Energy, Services Product DemandDirect provides demand response, energy efficiency, load management, and distributed generation services to end-use electricity customers in order to reduce electricity consumption, improve grid reliability, and promote renewable energy. Coordinates 44.440496°, -72.414991° 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":44.440496,"lon":-72.414991,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

310

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

311

Time dependent evolution of RF-generated non-thermal particle distributions in fusion plasmas  

Science Journals Connector (OSTI)

We describe fully self-consistent time-dependent simulations of radio frequency (RF) generated ion distributions in the ion cyclotron range of frequencies and RF-generated electron distributions in the lower hybrid range of frequencies using combined FokkerPlanck and full wave electromagnetic field solvers. In each regime, the non-thermal particle distributions have been used in synthetic diagnostic codes to compare with diagnostic measurements from experiment, thus providing validation of the simulation capability. The computational intensive simulations require multiple full wave code runs that iterate with a FokkerPlanck code. We will discuss advanced algorithms that have been implemented to accelerate both the massively parallel full wave simulations as well as the iteration with the distribution code. A vector extrapolation method (Sidi A 2008 Comput. Math. Appl. 56) that permits Jacobian-free acceleration of the traditional fixed point iteration technique is used to reduce the number of iterations needed between the distribution and wave codes to converge to self-consistency. The computational burden of the parallel full wave codes has been reduced by using a more efficient two level parallel decomposition that improves the strong scaling of the codes and reduces the communication overhead.

J C Wright; A Bader; L A Berry; P T Bonoli; R W Harvey; E F Jaeger; J-P Lee; A Schmidt; E D'Azevedo; I Faust; C K Phillips; E Valeo

2014-01-01T23:59:59.000Z

312

Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution  

Buildings Energy Data Book [EERE]

9 9 2009 Peak Load and Capacity Margin, Summer and Winter by NERC Region (MW) NERC Region Capacity Margin Capacity Margin TRE 16.7% 19.1% FRCC 6.0% 2.0% MRO (U.S.) 24.6% 26.8% NPCC (U.S.) 29.1% 43.2% RFC 25.2% 33.3% SERC 24.6% 26.2% SPP 16.4% 34.6% WECC 19.4% 29.6% U.S. TOTAL 22.2% 28.5% Note(s): Source(s): 128,245 109,565 725,958 668,818 1) Summer Demand includes the months of June, July, August, and September. 2) Winter Demand includes December of the previous year and January-March of the current year. 3) Capacity Margin is the amount of unused available capability of an electric power system at peak load as a percentage of net capacity resources. Net Capacity Resources: Utility- and IPP-owned generating capacity that is existing or in various stages of planning or construction, less inoperable capacity, plus planned capacity purchases from other resources, less planned

313

Demand Response  

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

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

314

Demand Response and Open Automated Demand Response  

E-Print Network [OSTI]

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

315

Smart microgrid operational planning considering multiple demand response programs  

Science Journals Connector (OSTI)

Microgrid (MG) is one of the important blocks in the future smart distribution systems. The scheduling pattern of MGs affects distribution system operation. Also the optimal scheduling of MGs will result in reliable and economical operation of distribution system. In this paper an operational planning model of a MG which considers multiple demand response programs is proposed. In the proposed approach all types of loads can participate in demand response programs which will be considered in either energy or reserve scheduling. Also the renewable distributed generation uncertainty is covered by reserve provided by both Distributed Generations (DGs) and responsive loads. The novelty of this paper is the demand side participation in energy and reserve scheduling simultaneously. Furthermore the energy and reserve scheduling is proposed for day-ahead and real-time. The proposed model was tested on a typical MG system and the results show that running demand response programs will reduce total operation cost of MG and cause more efficient use of resources.

Alireza Zakariazadeh; Shahram Jadid

2014-01-01T23:59:59.000Z

316

Multi-objective quasi-oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems  

Science Journals Connector (OSTI)

Abstract This paper presents a novel quasi-oppositional teaching learning based optimization (QOTLBO) methodology in order to find the optimal location of distributed generator to simultaneously optimize power loss, voltage stability index and voltage deviation of radial distribution network. The basic disadvantage of the original teaching learning based optimization (TLBO) algorithm is that it gives a near optimal solution rather than an optimal one in a limited iteration cycles. In this paper, opposition based learning (OBL) and quasi OBL concepts are introduced in original TLBO algorithm for improving the convergence speed and simulation results of TLBO. In order to show the effectiveness and superiority, the proposed algorithms are tested on 33-bus, 69-bus and 118-bus radial distribution networks. The simulation results of the proposed methods are compared with those obtained by other artificial intelligence techniques like GA/PSO, GA, PSO and loss sensitivity factor simulated annealing (LSFSA). The results show that the QOTLBO surpasses the other techniques in terms of solution quality.

Sneha Sultana; Provas Kumar Roy

2014-01-01T23:59:59.000Z

317

S & P Opines on Securitizing Distributed Generation | OpenEI Community  

Open Energy Info (EERE)

S & P Opines on Securitizing Distributed Generation S & P Opines on Securitizing Distributed Generation Home > Groups > OpenEI Community Central Graham7781's picture Submitted by Graham7781(1992) Super contributor 10 July, 2012 - 14:04 imported OpenEI Article originally published at NREL's Renewable Energy Project Finance website Renewable energy-related asset securitization has been gaining a lot of traction lately as a number of key stakeholders from both the private and public sectors have been stepping up their collaborative efforts (including NREL's finance team). To help frame the discussion and facilitate the creation of ratings-quality renewable energy asset pools, Standard and Poor's (S&P) rating agency has recently produced high-level guidance on various possible risk factors in the potential securitization

318

Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution  

Buildings Energy Data Book [EERE]

2 2 Net Internal Demand, Capacity Resources, and Capacity Margins in the Contiguous United States (GW) Net Internal Capacity Capacity Demand (1) Resources (2) Margin (3) 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Note(s): Source(s): 778.5 980.3 20.6% 1) Net internal demand represents the system demand that is planned for by the electric power industry`s reliability authority and is equal to internal demand less direct control load management and interruptible demand. Direct control load management: Customer demand that can be interrupted at the time of the seasonal peak by direct control of the system operator by interrupting power supply to individual appliances or equipment on customer premises. This type of control usually reduces the demand of residential customers. Interruptible demand: Customer

319

An ExpressionRewriting Framework to Generate Communication Sets for HPF Programs with BlockCyclic Distribution  

E-Print Network [OSTI]

information (how data are distributed among processors), and generate the communication codes[3, 16, 19An Expression­Rewriting Framework to Generate Communication Sets for HPF Programs with Block­Cyclic Distribution Gwan­Hwan Hwang Jenq Kuen Lee Department of Computer Science, National Tsing­Hua University

Lee, Jenq-Kuen

320

Practical stability assessment of distributed synchronous generators under variations in the system equilibrium conditions  

Science Journals Connector (OSTI)

Abstract This paper proposes a method to assess the practical stability of power distribution systems with synchronous generators subject to changes in the system equilibrium conditions due to fast varying loads. The concept of practical stability deals with two known state-space regions ?1 (which contains all the initial conditions reflecting the perturbations at which the system is subject during its operation) and ?2 (which represents the operating security region of the power distribution system) satisfying ?1??2. The practical stability problem and the focus of this paper is to determine under which conditions the system trajectories will be confined into a security region of operation for a certain time interval of interest, as the equilibrium point of the model changes. This study was carried out using a mathematical model of the distribution system with synchronous generators in the form of a switched affine system. This proposed model is capable of describing the system behavior over a certain period within which changes on the equilibrium conditions of the system can occur. Sufficient conditions for the power distribution system with synchronous generators described as a switched affine system to be practically stable with respect to its operating security region ?2 are given in the form of matrix inequalities constraints. The results, obtained for the model of a cogeneration plant of 10MW added to a distribution network constituted by a feeder and six buses, show that the less stringent properties of the concept of practical stability can be very well-suited to the security analysis of power systems subjected to frequent variations in the load level.

Roman Kuiava; Rodrigo A. Ramos; Hemanshu R. Pota; Luis F.C. Alberto

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

energy storage and demand management can complement solarwith energy storage to firm the resource, or solar thermaland solar generation. And demand response or energy storage

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

322

Commercial & Industrial Demand Response  

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

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

323

High Temperatures & Electricity Demand  

E-Print Network [OSTI]

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

324

EIA - AEO2010 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

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

325

Overview of Demand Response  

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

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

326

Making the Economic Case for Small-Scale Distributed Wind -- A Screening for Distributed Generation Wind Opportunities: Preprint  

SciTech Connect (OSTI)

This study was an offshoot of a previous assessment, which examined the potential for large-scale, greater than 50 MW, wind development on occupied federal agency lands. The study did not find significant commercial wind development opportunities, primarily because of poor wind resource on available and appropriately sized land areas or land use or aesthetic concerns. The few sites that could accommodate a large wind farm failed to have transmission lines in optimum locations required to generate power at competitive wholesale prices. The study did identify a promising but less common distributed generation (DG) development option. This follow-up study documents the NREL/Global Energy Concepts team efforts to identify economic DG wind projects at a select group of occupied federal sites. It employs a screening strategy based on project economics that go beyond quantity of windy land to include state and utility incentives as well as the value of avoided power purchases. It attempts to account for the extra costs and difficulties associated with small projects through the use of project scenarios that are more compatible with federal facilities and existing land uses. These benefits and barriers of DG are discussed, and the screening methodology and results are included. The report concludes with generalizations about the screening method and recommendations for improvement and other potential applications for this methodology.

Kandt, A.; Brown, E.; Dominick, J.; Jurotich, T.

2007-06-01T23:59:59.000Z

327

Energy and Security in Northeast Asia: Supply and Demand, Conflict and  

E-Print Network [OSTI]

3 Energy Policies and Energy Demand in Northeastissue of whether rising energy demand generates new securityoverall regional energy demand (Fesharaki, Sara Banaszak,

Fesharaki, Fereidun; Banaszak, Sarah; WU, Kang; Valencia, Mark J.; Dorian, James P.

1998-01-01T23:59:59.000Z

328

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

SciTech Connect (OSTI)

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

329

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

330

Optimizing Geographic Allotment of Photovoltaic Capacity in a Distributed Generation Setting: Preprint  

SciTech Connect (OSTI)

A multi-objective optimization was performed to allocate 2MW of PV among four candidate sites on the island of Lanai such that energy was maximized and variability in the form of ramp rates was minimized. This resulted in an optimal solution set which provides a range of geographic allotment alternatives for the fixed PV capacity. Within the optimal set, a tradeoff between energy produced and variability experienced was found, whereby a decrease in variability always necessitates a simultaneous decrease in energy. A design point within the optimal set was selected for study which decreased extreme ramp rates by over 50% while only decreasing annual energy generation by 3% over the maximum generation allocation. To quantify the allotment mix selected, a metric was developed, called the ramp ratio, which compares ramping magnitude when all capacity is allotted to a single location to the aggregate ramping magnitude in a distributed scenario. The ramp ratio quantifies simultaneously how much smoothing a distributed scenario would experience over single site allotment and how much a single site is being under-utilized for its ability to reduce aggregate variability. This paper creates a framework for use by cities and municipal utilities to reduce variability impacts while planning for high penetration of PV on the distribution grid.

Urquhart, B.; Sengupta, M.; Keller, J.

2012-09-01T23:59:59.000Z

331

Optimal allocation of multi-type distributed generators using backtracking search optimization algorithm  

Science Journals Connector (OSTI)

Abstract In this article, a very recently swarm optimization technique namely a backtracking search optimization algorithm (BSOA) is addressed to assign the distributed generators (DGs) along radial distribution networks. One of the main features of the BSOA is a single control parameter and not over sensitive to the initial value of this factor. The objective function is adapted with weighting factor to reduce the network real loss and enhance the voltage profile with the purpose of improving the operating performance. In addition, the combined power factor and reduction in network reactive power loss are spotted. Set of fuzzy expert rules using loss sensitivity factors and bus voltages are employed to identify the initial DGs locations. The proposed approach is attuned to tackle the shortfall of loss sensitivity factors and to decide the final placement of the DGs. Two types of the \\{DGs\\} are studied and investigated. The proposed method is demonstrated and validated thru many radial distribution networks with different sizes and complexities. The BSOA-based methodology can efficiently generate high-quality solutions compared to other competitive techniques in the literature.

Attia El-Fergany

2015-01-01T23:59:59.000Z

332

Laboratories for the 21st Century: Best Practices (Brochure): Onsite Distributed Generation Systems For Laboratories  

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

L L a b o r a t o r i e s f o r t h e 2 1 s t C e n t u r y : B e s t P r a c t i c e s This combined heat and power system at the Bristol-Myers Squibb laboratory in Wallingford, Connecticut, could meet 100% of the lab's power requirement, if necessary. Bernard Blesinger / PIX 12552 ONSITE DISTRIBUTED GENERATION SYSTEMS FOR LABORATORIES Introduction Laboratories have unique requirements for lighting, ventilation, and scientific equipment with each requiring a considerable amount of energy. The reliability of that energy is very important. Laboratories must be able to conduct research without power interruptions, which can damage both equipment and experiments. Generating power and heat on site is one good way to enhance energy reliability, improve fuel utilization efficiency, reduce utility costs,

333

Spatial distribution of very low?frequency wind?generated noise in the ocean  

Science Journals Connector (OSTI)

We have adapted our model of surface?generated noise in a stratified lossy ocean to the case of low?frequency wind?generated noise produced in deep water by turbulentpressure fluctuations in the atmosphere. The model assumes a random pressure distribution at the surface and includes the effects of sound?speed profile and bottom characteristics. Using Wilson's source levels [J. H. Wilson J. Acoust. Soc. Am. 66 14991507 (1979)] we have calculated the noise level as functions of frequency and depth and compared the results with measured data. We show these results along with calculations of the spatial coherence function which differs significantly from the standard deep?water result. Finally we present calculations of the effective surface area that is the area of the surface centered above the receiver which contributes most of the noise intensity. We show that this quantity is dependent on receiver depth.

F. Ingenito; W. A. Kuperman

1980-01-01T23:59:59.000Z

334

Development, Demonstration, and Field Testing of Enterprise-Wide Distributed Generation Energy Management System: Final Report  

SciTech Connect (OSTI)

This report details progress on subcontract NAD-1-30605-1 between the National Renewable Energy Laboratory and RealEnergy (RE), the purpose of which is to describe RE's approach to the challenges it faces in the implementation of a nationwide fleet of clean cogeneration systems to serve contemporary energy markets. The Phase 2 report covers: utility tariff risk and its impact on market development; the effect on incentives on distributed energy markets; the regulatory effectiveness of interconnection in California; a survey of practical field interconnection issues; trend analysis for on-site generation; performance of dispatch systems; and information design hierarchy for combined heat and power.

Greenberg, S.; Cooley, C.

2005-01-01T23:59:59.000Z

335

The potential for distributed generation in Japanese prototype buildings: A DER-CAM analysis of policy, tariff design, building energy use, and technology development (English Version)  

E-Print Network [OSTI]

Distributed Generation in Japanese Prototype Buildings: English Version On-site absorption cooling On-site heating On-site generatorsDistributed Generation in Japanese Prototype Buildings: English Version On-site direct absorption cooling On-site heating On-site generatorDistributed Generation in Japanese Prototype Buildings: English Version Macrogrid On-site heating fuel consumption (tJ/a) carbon (t/a) On-site generators

Zhou, Nan; Marnay, Chris; Firestone, Ryan; Gao, Weijun; Nishida, Masaru

2004-01-01T23:59:59.000Z

336

Demand Side Management by controlling refrigerators and its effects on consumers  

Science Journals Connector (OSTI)

Demand Side Management in power grids has become more and more important in recent years. Continuously growing energy demand both increases the need for distributed generation from renewable energy sources and brings out the topic of Demand Side Management. One of the major application areas of Demand Side Management in smart grids is cooling systems. In this paper, Demand Side Management with control of a refrigerator and its economic effects on consumers are analyzed. With a refrigerator model based on real measurements, several cooling schedules are simulated and annual energy fees for different pricing methods in use in Turkey are calculated and discussed. The results revealed that, 37.9% of refrigerators demand in peak period can be shifted to other periods and annual electricity bills for customers can be reduced by 11.4%.

M. Alparslan Zehir; Mustafa Bagriyanik

2012-01-01T23:59:59.000Z

337

Paradigm shift in urban energy systems through distributed generation: Methods and models  

Science Journals Connector (OSTI)

The path towards energy sustainability is commonly referred to the incremental adoption of available technologies, practices and policies that may help to decrease the environmental impact of energy sector, while providing an adequate standard of energy services. The evaluation of trade-offs among technologies, practices and policies for the mitigation of environmental problems related to energy resources depletion requires a deep knowledge of the local and global effects of the proposed solutions. While attempting to calculate such effects for a large complex system like a city, an advanced multidisciplinary approach is needed to overcome difficulties in modeling correctly real phenomena while maintaining computational transparency, reliability, interoperability and efficiency across different levels of analysis. Further, a methodology that rationally integrates different computational models and techniques is necessary to enable collaborative research in the field of optimization of energy efficiency strategies and integration of renewable energy systems in urban areas. For these reasons, a selection of currently available models for distributed generation planning and design is presented and analyzed in the perspective of gathering their capabilities in an optimization framework to support a paradigm shift in urban energy systems. This framework embodies the main concepts of a local energy management system and adopts a multicriteria perspective to determine optimal solutions for providing energy services through distributed generation.

Massimiliano Manfren; Paola Caputo; Gaia Costa

2011-01-01T23:59:59.000Z

338

Fault response of inverter interfaced distributed generators in grid-connected applications  

Science Journals Connector (OSTI)

Abstract Inverter-interfaced distributed generation is prominent in some distribution networks because of the growth of PV and other new sources. In order to ensure that protection system design remains effective in this environment, it is essential to be able to accurately represent inverters in fault current calculations. Calculating the fault current contribution is complicated because of the nature of the transition into current limiting mode and because the current produced is a function of control choices as well as physical components. The desire is for a simple source plus impedance model for incorporation into network studies. Based on knowledge of the control strategy and the details of the method of current limiting, linear analytical equivalent models are proposed whose source and impedance values (at fundamental frequency) can be expressed as a function of the inverter's hardware parameters and controller gains. The dependence of the entry into current limit on the nature and location of other generators in the network leads to a proposal for a load flow based fault analysis incorporating the new models. This iteratively determines which inverter experiences current limiting. The proposed inverter fault models and their use in a network fault analysis have been verified against experimental results in a 3-inverter network.

Cornelis A. Plet; Timothy C. Green

2014-01-01T23:59:59.000Z

339

Alleviations of Substation Congestions by Distributed Generations An Optimal Location and Reliability Analysis.  

E-Print Network [OSTI]

??With increased load demands from the customers, substation congestion problems have become inevitable to the utility companies. Instead of expanding related system installations to alleviate (more)

Melvin, Galicia

2011-01-01T23:59:59.000Z

340

Multivariate distributed ensemble generator: A new scheme for ensemble radar precipitation estimation over temperate maritime climate  

Science Journals Connector (OSTI)

Summary It is broadly recognized that large uncertainties are associated with radar rainfall (RR) estimates, which could propagate in the hydrologic forecast system and contaminate its final outcomes. Ensemble generation of probable true rainfall is an elegant and practical solution to characterize the uncertainty of RR estimates and behavior in the hydrologic forecast system. In this study, we have proposed a fully formulated uncertainty model that can statistically quantify the characteristics of the RR errors and their spatial and temporal structure, which is a novel method of its kind in the radar data uncertainty field. The error model is established based on the distribution of gauge rainfall conditioned on radar rainfall (GR|RR). Its spatial and temporal dependencies are simulated based on the t-copula function. With this proposed error model, a Multivariate Distributed Ensemble Generator (MDEG) driven by the copula and autoregressive filter is designed and applied in the Brue catchment (135km2), an extensively gauged site in the United Kingdom. The products from MDEG include a time series of ensemble rainfall fields with each of them representing a probable true rainfall. A series of tests show that the ensemble fields generated by MDEG have realistically maintained the spatial and temporal structure of the random error in RR as they have relatively low mean absolute errors (MAEs) of spatio-temporal correlation towards the observed ones. In addition, the results show that the simulated uncertainty bands derived by the 500 realizations of ensemble rainfall encompass most of the reference rain gauge measurements, indicating that the proposed scheme is statistically reliable.

Qiang Dai; Dawei Han; Miguel Rico-Ramirez; Prashant K. Srivastava

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Reduction in subsidy for solar power as distributed electricity generation in Indian future competitive power market  

Science Journals Connector (OSTI)

Developed countries have seen renewable energy as a key tool for emission reduction as well as reducing reliance on oil gas and coal.Renewable energy sources (RESs) and technologies have potential to provide solutions to the longstanding energy problems being faced by the developing countries. In the future competitive electricity market for India it becomes very much important to give special consideration for development of RESs due to economic environmental and other social problems related with conventional generations.Solar energy can be an important part of India's plan not only to add new capacity but also to increase energy security and lead the massive market for renewable energy. The major problem with solar powergeneration (SPG) is high cost of renewable generation. The Indian government is providing a lot of subsidy in order to encourage renewable energygenerations. This paper presents an approach for reduction in subsidy of SPG used as distributed generator in competitive power market. The proposed approach has been validated with IEEE 14-bus and IEEE 30-bus systems.

Naveen Kumar Sharma; Yog Raj Sood

2012-01-01T23:59:59.000Z

342

Viability of Small Wind Distributed Generation for Farmers Who Irrigate (Poster)  

SciTech Connect (OSTI)

About 14% of U.S. farms are irrigated, representing 55 million acres of irrigated land. Irrigation on these farms is a major energy user in the United States, accounting for one-third of water withdrawals and 137 billion gallons per day. More than half of the Irrigation systems use electric energy. Wind energy can be a good choice for meeting irrigation energy needs. Nine of the top 10 irrigation states (California, Texas, Idaho, Arkansas, Colorado, Nebraska, Arizona, Kansas, Washington, and Oregon) have good to excellent wind resources. Many rural areas have sufficient wind speeds to make wind an attractive alternative, and farms and ranches can often install a wind energy system without impacting their ability to plant crops and graze livestock. Additionally, the rising and uncertain future costs of diesel, natural gas, and even electricity increase the potential effectiveness for wind energy and its predictable and competitive cost. In general, wind-powered electric generation systems generate more energy in the winter months than in the summer months when most crops need the water. Therefore, those states that have a supportive net metering policy can dramatically impact the viability of an onsite wind turbine. This poster presentation highlights case studies that show favorable and unfavorable policies that impact the growth of small wind in this important sector and demonstrate how net metering policies affect the viability of distributed wind generation for farmers who irrigate.

Meadows, B.; Forsyth, T.; Johnson, S.; Healow, D.

2010-05-01T23:59:59.000Z

343

Design of a 2.5kW Low Temperature Stirling Engine for Distributed Solar Thermal Generation  

E-Print Network [OSTI]

Design of a 2.5kW Low Temperature Stirling Engine for Distributed Solar Thermal Generation Mike He on the design of a Stirling engine for distributed solar thermal ap- plications. In particular, we design renewable energy applications. A key advantage of a solar thermal system is that they can incorporate

Sanders, Seth

344

Distributed Generation Study/10 West 66th Street Corp | Open Energy  

Open Energy Info (EERE)

10 West 66th Street Corp 10 West 66th Street Corp < Distributed Generation Study Jump to: navigation, search Study Location New York, New York Site Description Residential-Multifamily-Single Building Study Type Long-term Monitoring Technology Microturbine Prime Mover Ingersoll Rand I-R PowerWorks 70 Heat Recovery Systems Built-in Fuel Natural Gas System Installer DSM Engineering System Enclosure Indoor System Application Combined Heat and Power Number of Prime Movers 1 Stand-alone Capability None Power Rating 70 kW0.07 MW 70,000 W 70,000,000 mW 7.0e-5 GW 7.0e-8 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 300000 Cooling Capacity (Refrig/Tons) Origin of Controller 3rd Party Off-the-Shelf Component Integration Customer Assembled Start Date 2005/11/17 Monitoring Termination Date 1969/12/31

345

Spectroscopic measurement of ion temperature and ion velocity distributions in the flux-coil generated FRC  

SciTech Connect (OSTI)

One aim of the flux-coil generated field reversed configuration at Tri Alpha Energy (TAE) is to establish the plasma where the ion rotational energy is greater than the ion thermal energy. To verify this, an optical diagnostic was developed to simultaneously measure the Doppler velocity-shift and line-broadening using a 0.75 m, 1800 groves/mm, spectrometer. The output spectrum is magnified and imaged onto a 16-channel photomultiplier tube (PMT) array. The individual PMT outputs are coupled to high-gain, high-frequency, transimpedance amplifiers, providing fast-time response. The Doppler spectroscopy measurements, along with a survey spectrometer and photodiode-light detector, form a suite of diagnostics that provide insights into the time evolution of the plasma-ion distribution and current when accelerated by an azimuthal-electric field.

Gupta, D.; Gota, H.; Hayashi, R.; Kiyashko, V.; Morehouse, M.; Primavera, S. [Tri Alpha Energy, Inc., Rancho Santa Margarita, California 92688 (United States); Bolte, N. [Tri Alpha Energy, Inc., Rancho Santa Margarita, California 92688 (United States); Department of Physics and Astronomy, University of California, Irvine, California 92697 (United States); Marsili, P. [Department of Physics, University of Pisa, Largo B. Pontecorvo 3, 56127 Pisa (Italy); Roche, T. [Department of Physics and Astronomy, University of California, Irvine, California 92697 (United States); Wessel, F. [Department of Physics and Astronomy, University of California, Irvine, California 92697 (United States); Tri Alpha Energy, Inc., Rancho Santa Margarita, California 92688 (United States)

2010-10-15T23:59:59.000Z

346

Commercialization of a 2.5kW Utility Interactive Inverter for Distributed Generation  

SciTech Connect (OSTI)

Through this project, Advanced Energy Conversion (AEC) has developed, tested, refined and is preparing to commercialize a 2.5kW utility-interactive inverter system for distributed generation. The inverter technology embodies zero-voltage switching technology that will ultimately yield a system that is smaller, less expensive and more efficient than existing commercial technologies. This program has focused on commercial success through careful synthesis of technology, market-focus and business development. AEC was the primary participant. AEC is utilizing contract manufacturers in the early stages of production, allowing its technical staff to focus on quality control issues and product enhancements. The objective of this project was to bring the AEC inverter technology from its current pre-production state to a commercial product. Federal funds have been used to build and test production-intent inverters, support the implementation of the commercialization plan and bring the product to the point of UL certification.

Torrey, David A.

2006-05-26T23:59:59.000Z

347

Distributed Generation Study/Aisin Seiki G60 at Hooligans Bar and Grille |  

Open Energy Info (EERE)

Aisin Seiki G60 at Hooligans Bar and Grille Aisin Seiki G60 at Hooligans Bar and Grille < Distributed Generation Study Jump to: navigation, search Study Location Liverpool, New York Site Description Commercial-Restaurant Study Type Field Test Technology Internal Combustion Engine Prime Mover Aisin Seiki G60 Heat Recovery Systems Built-in Fuel Natural Gas System Installer ECO Technical Solutions System Enclosure Outdoor System Application Combined Heat and Power Number of Prime Movers 1 Stand-alone Capability None Power Rating 6 kW0.006 MW 6,000 W 6,000,000 mW 6.0e-6 GW 6.0e-9 TW Nominal Voltage (V) 240 Heat Recovery Rating (BTU/hr) 46105 Cooling Capacity (Refrig/Tons) Origin of Controller Manufacturer-Integrated Component Integration Customer Assembled Start Date 2005/07/10 Monitoring Termination Date 2005/07/21

348

Advanced Demand Responsive Lighting  

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

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

349

Demand Response Research in Spain  

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

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

350

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network [OSTI]

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

Shen, Bo

2013-01-01T23:59:59.000Z

351

A Multi-State Model for the Reliability Assessment of a Distributed Generation System via Universal Generating Function  

E-Print Network [OSTI]

renewable technology (e.g. wind or solar, etc.) whose behavior is described by a binary state, working assessment, multi-state modeling, universal generating function #12;2 Notations Solar irradiance Total number of discretized solar irradiance states Discretized solar irradiance at state i Random variable representing

Boyer, Edmond

352

Central power generation versus distributed generation e An air quality assessment in the South Coast Air Basin of California  

E-Print Network [OSTI]

., Suite 200, San Francisco, CA 94111, USA c Advanced Power and Energy Program, Department of Mechanical obstacles to transmission line additions may force even central power generation back into air basins by the year 2020. The intermittent nature of renewable sources like wind and solar power may require

Dabdub, Donald

353

Distributed Generation Potential of the U.S. CommercialSector  

SciTech Connect (OSTI)

Small-scale (100 kW-5 MW) on-site distributed generation (DG) economically driven by combined heat and power (CHP) applications and, in some cases, reliability concerns will likely emerge as a common feature of commercial building energy systems in developed countries over the next two decades. In the U.S., private and public expectations for this technology are heavily influenced by forecasts published by the Energy Information Administration (EIA), most notably the Annual Energy Outlook (AEO). EIA's forecasts are typically made using the National Energy Modeling System (NEMS), which has a forecasting module that predicts the penetration of several possible commercial building DG technologies over the period 2005-2025. Annual penetration is forecast by estimating the payback period for each technology, for each of a limited number of representative building types, for each of nine regions. This process results in an AEO2004 forecast deployment of about a total 3 GW of DG electrical generating capacity by 2025, which is only 0.25 percent of total forecast U.S. capacity. Analyses conducted using both the AEO2003 and AEO2004 versions of NEMS changes the baseline costs and performance characteristics of DG to reflect a world without U.S. Department of Energy (DOE) research into several thermal DG technologies, which is then compared to a case with enhanced technology representative of the successful achievement of DOE research goals. The net difference in 2025 DG penetration is dramatic using the AEO2003 version of NEMS, but much smaller in the AEO2004 version. The significance and validity of these contradictory results are discussed, and possibilities for improving estimates of commercial U.S. DG potential are explored.

LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Gumerman,Etan; Marnay, Chris

2005-06-01T23:59:59.000Z

354

Home Network Technologies and Automating Demand Response  

SciTech Connect (OSTI)

Over the past several years, interest in large-scale control of peak energy demand and total consumption has increased. While motivated by a number of factors, this interest has primarily been spurred on the demand side by the increasing cost of energy and, on the supply side by the limited ability of utilities to build sufficient electricity generation capacity to meet unrestrained future demand. To address peak electricity use Demand Response (DR) systems are being proposed to motivate reductions in electricity use through the use of price incentives. DR systems are also be design to shift or curtail energy demand at critical times when the generation, transmission, and distribution systems (i.e. the 'grid') are threatened with instabilities. To be effectively deployed on a large-scale, these proposed DR systems need to be automated. Automation will require robust and efficient data communications infrastructures across geographically dispersed markets. The present availability of widespread Internet connectivity and inexpensive, reliable computing hardware combined with the growing confidence in the capabilities of distributed, application-level communications protocols suggests that now is the time for designing and deploying practical systems. Centralized computer systems that are capable of providing continuous signals to automate customers reduction of power demand, are known as Demand Response Automation Servers (DRAS). The deployment of prototype DRAS systems has already begun - with most initial deployments targeting large commercial and industrial (C & I) customers. An examination of the current overall energy consumption by economic sector shows that the C & I market is responsible for roughly half of all energy consumption in the US. On a per customer basis, large C & I customers clearly have the most to offer - and to gain - by participating in DR programs to reduce peak demand. And, by concentrating on a small number of relatively sophisticated energy consumers, it has been possible to improve the DR 'state of the art' with a manageable commitment of technical resources on both the utility and consumer side. Although numerous C & I DR applications of a DRAS infrastructure are still in either prototype or early production phases, these early attempts at automating DR have been notably successful for both utilities and C & I customers. Several factors have strongly contributed to this success and will be discussed below. These successes have motivated utilities and regulators to look closely at how DR programs can be expanded to encompass the remaining (roughly) half of the state's energy load - the light commercial and, in numerical terms, the more important residential customer market. This survey examines technical issues facing the implementation of automated DR in the residential environment. In particular, we will look at the potential role of home automation networks in implementing wide-scale DR systems that communicate directly to individual residences.

McParland, Charles

2009-12-01T23:59:59.000Z

355

Demand Response Valuation Frameworks Paper  

E-Print Network [OSTI]

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

Heffner, Grayson

2010-01-01T23:59:59.000Z

356

Distributed Generation Study/615 kW Waukesha Packaged System | Open Energy  

Open Energy Info (EERE)

kW Waukesha Packaged System kW Waukesha Packaged System < Distributed Generation Study Jump to: navigation, search Study Location Des Plaines, Illinois Site Description Testing Laboratory Study Type Laboratory Test Technology Internal Combustion Engine Prime Mover Waukesha VGF 36GLD Heat Recovery Systems Sondex PHE-Type SL140-TM-EE-190, Sondex PHE-Type SL140-TM-EE-150, Cain UTR1-810A17.5SSP Fuel Natural Gas System Installer GTI System Enclosure Outdoor System Application Combined Heat and Power Number of Prime Movers 1 Stand-alone Capability None Power Rating 615 kW0.615 MW 615,000 W 615,000,000 mW 6.15e-4 GW 6.15e-7 TW Nominal Voltage (V) 480 Heat Recovery Rating (BTU/hr) 2500000 Cooling Capacity (Refrig/Tons) 90 Origin of Controller 3rd Party Off-the-Shelf Component Integration Factory Integrated

357

Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution  

Buildings Energy Data Book [EERE]

7 7 Characteristics of New and Stock Generating Capacities, by Plant Type Total Capital Costs Size Overnight Costs (2) of Typical New Plant New Plant Type (MW) (2010 $/kW) ($2010 million) Scrubbed Coal 1300 2809 3652 Integrated Coal-Gasification Combined Cycle (IGCC) 1200 3182 3818 IGCC w/Carbon Sequestration 520 5287 2749 Conv. Gas/Oil Combined Cycle 540 967 522 Adv. Gas/Oil Combined Cycle 400 991 396 Conv. Combustion Turbine 85 961 82 Adv. Combustion Turbine 210 658 138 Fuel Cell 10 6752 68 Advanced Nuclear 2236 5275 11795 Municipal Solid Waste 50 8237 412 Conventional Hydropower (3) 500 2221 1111 Wind 100 2409 241 Stock Plant Type 2010 2015 2020 2025 2030 2035 Fossil Fuel Steam Heat Rate (Btu/kWh) Nuclear Energy Heat Rate (Btu/kWh) Note(s): Source(s): 1) Plant use of electricity is included in heat rate calculations; however, transmission and distribution losses of the electric grid are excluded.

358

Generation of Initial Kinetic Distributions for Simulation of Long-Pulse Charged Particle Beams with High Space-Charge intensity  

SciTech Connect (OSTI)

Self-consistent Vlasov-Poisson simulations of beams with high space-charge intensity often require specification of initial phase-space distributions that reflect properties of a beam that is well adapted to the transport channel--both in terms of low-order rms (envelope) properties as well as the higher-order phase-space structure. Here, we first review broad classes of kinetic distributions commonly in use as initial Vlasov distributions in simulations of unbunched or weakly bunched beams with intense space-charge fields including: the Kapchinskij-Vladimirskij (KV) equilibrium, continuous-focusing equilibria with specific detailed examples, and various non-equilibrium distributions, such as the semi-Gaussian distribution and distributions formed from specified functions of linear-field Courant-Snyder invariants. Important practical details necessary to specify these distributions in terms of usual accelerator inputs are presented in a unified format. Building on this presentation, a new class of approximate initial kinetic distributions are constructed using transformations that preserve linear-focusing single-particle Courant-Snyder invariants to map initial continuous-focusing equilibrium distributions to a form more appropriate for non-continuous focusing channels. Self-consistent particle-in-cell simulations are employed to show that the approximate initial distributions generated in this manner are better adapted to the focusing channels for beams with high space-charge intensity. This improved capability enables simulation applications that more precisely probe intrinsic stability properties and machine performance.

Lund, Steven M.; Kikuchi, Takashi; Davidson, Ronald C.

2007-04-03T23:59:59.000Z

359

Generation of initial Vlasov distributions for simulation of charged particle beams with high space-charge intensity  

SciTech Connect (OSTI)

Self-consistent Vlasov simulations of beams with high space-charge intensity often require specification of initial phase-space distributions that reflect properties of a beam that is well adapted to the transport channel, both in terms of low-order rms (envelope) properties as well as the higher-order phase-space structure. Here, we first review broad classes of distributions commonly in use as initial Vlasov distributions in simulations of beams with intense space-charge fields including: the Kapchinskij-Vladimirskij (KV) equilibrium, continuous-focusing equilibria with specific detailed examples, and various non-equilibrium distributions, such as the semi-Gaussian distribution and distributions formed from specified functions of linear-field Courant-Snyder invariants. Important practical details necessary to specify these distributions in terms of usual accelerator inputs are presented in a unified format. Building on this presentation, a new class of approximate initial distributions are constructed using transformations that preserve linear-focusing single-particle Courant-Snyder invariants to map initial continuous-focusing equilibrium distributions to a form more appropriate for non-continuous focusing channels. Self-consistent particle-in-cell simulations are employed to show that the approximate initial distributions generated in this manner are better adapted to the focusing channels for beams with high space-charge intensity. This improved capability enables simulation applications that more precisely probe intrinsic stability properties and machine performance.

Lund, S M; Kikuchi, T; Davidson, R C

2007-04-12T23:59:59.000Z

360

D:\assumptions_2001\assumptions2002\currentassump\demand.vp  

Gasoline and Diesel Fuel Update (EIA)

2 2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 Petroleum Market Module. . . . . . . . . . . . .

Note: This page contains sample records for the topic "demand distributed generation" 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

J. Phys. B: At. Mol. Opt. Phys. 29 (1996) 47714786. Printed in the UK Angular distributions of high-order harmonics generated  

E-Print Network [OSTI]

distributions of high-order harmonics generated with a femtosecond Cr:LiSrAlF6 laser. We investigate-atom response. The far-field distributions of the harmonics (11 to 41) generated in heavy rare gases are foundJ. Phys. B: At. Mol. Opt. Phys. 29 (1996) 4771­4786. Printed in the UK Angular distributions

Ditmire, Todd

362

PhotoVoltaic distributed generation for Lanai power grid real-time simulation and control integration scenario.  

SciTech Connect (OSTI)

This paper discusses the modeling, analysis, and testing in a real-time simulation environment of the Lanai power grid system for the integration and control of PhotoVoltaic (PV) distributed generation. The Lanai Island in Hawaii is part of the Hawaii Clean Energy Initiative (HCEI) to transition to 30% renewable green energy penetration by 2030. In Lanai the primary loads come from two Castle and Cook Resorts, in addition to residential needs. The total peak load profile is 12470 V, 5.5 MW. Currently there are several diesel generators that meet these loading requirements. As part of the HCEI, Lanai has initially installed 1.2 MW of PV generation. The goal of this study has been to evaluate the impact of the PV with respect to the conventional carbon-based diesel generation in real time simulation. For intermittent PV distributed generation, the overall stability and transient responses are investigated. A simple Lanai 'like' model has been developed in the Matlab/Simulink environment (see Fig. 1) and to accommodate real-time simulation of the hybrid power grid system the Opal-RT Technologies RT-Lab environment is used. The diesel generators have been modelled using the SimPowerSystems toolbox swing equations and a custom Simulink module has been developed for the High level PV generation. All of the loads have been characterized primarily as distribution lines with series resistive load banks with one VAR load bank. Three-phase faults are implemented for each bus. Both conventional and advanced control architectures will be used to evaluate the integration of the PV onto the current power grid system. The baseline numerical results include the stable performance of the power grid during varying cloud cover (PV generation ramping up/down) scenarios. The importance of assessing the real-time scenario is included.

Robinett, Rush D., III; Kukolich, Keith (Opal RT Technologies, Montreal, Quebec, Canada); Wilson, David Gerald; Schenkman, Benjamin L.

2010-06-01T23:59:59.000Z

363

Definition: Demand | Open Energy Information  

Open Energy Info (EERE)

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

364

Demand Response and Electric Grid Reliability  

E-Print Network [OSTI]

Demand Response and Electric Grid Reliability Paul Wattles Senior Analyst, Market Design & Development, ERCOT CATEE Conference, Galveston October 10, 2012 2 North American Bulk Power Grids CATEE Conference October 10, 2012 ? The ERCOT... adequacy ? ?Achieving more DR participation would . . . displace some generation investments, but would achieve the same level of reliability... ? ?Achieving this ideal requires widespread demand response and market structures that enable loads...

Wattles, P.

2012-01-01T23:59:59.000Z

365

Mass Market Demand Response  

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

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

366

Cocreating understanding and value in distributed work: how members of onsite and offshore vendor teams give, make, demand, and break sense  

Science Journals Connector (OSTI)

Achieving shared, common, or mutual understandings among geographically dispersed workers is a central concern in the distributed work literature. Nonetheless, little is known yet about the socio-cognitive acts and communication processes involved with ... Keywords: ISD, information systems development, offshore, sensebreaking, sensedemanding, sensegiving, sensemaking, social cognition, understanding, value creation

Paul W. L. Vlaar; Paul C. van Fenema; Vinay Tiwari

2008-06-01T23:59:59.000Z

367

Generation of lower hybrid and whistler waves by an ion velocity ring distribution  

SciTech Connect (OSTI)

Using fully kinetic simulations in two and three spatial dimensions, we consider the generation and nonlinear evolution of lower hybrid waves produced by a cold ion ring velocity distribution in a low beta plasma. We show that the initial development of the instability is very similar in two and three dimensions and not significantly modified by electromagnetic effects, consistent with linear theory. At saturation, the level of electric field fluctuations is a small fraction of the background thermal energy; the electric field and corresponding density fluctuations consist of long, field-aligned striations. Energy extracted from the ring goes primarily into heating the background ions and the electrons at comparable rates. The initial growth and saturation of the magnetic components of the lower hybrid waves are related to the electric field components, consistent with linear theory. As the growing electric field fluctuations saturate, parallel propagating whistler waves develop by the interaction of two lower hybrid waves. At later times, these whistlers are replaced by longer wavelength, parallel propagating whistlers that grow through the decay of the lower hybrid fluctuations. Wave matching conditions demonstrate these conversion processes of lower hybrid waves to whistler waves. The conversion efficiency (=ratio of the whistler wave energy to the energy in the saturated lower hybrid waves) is computed and found to be significant ({approx}15%) for the parameters of the three-dimensional simulation (and even larger in the two-dimensional simulation), although when normalized in terms of the initial kinetic energy in the ring ions the overall efficiency is very small (<10{sup -4}). The results are compared with relevant linear and nonlinear theory.

Winske, D.; Daughton, W. [Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)

2012-07-15T23:59:59.000Z

368

The Sensitivity of DPF Performance to the Spatial Distribution of Ash Generated from Six Lubricant Formulations  

Broader source: Energy.gov [DOE]

Discusses potential of DPF pressure drop reduction by optimizing the spatial distribution of ash inside DPF inlet channel

369

Demand Response Assessment INTRODUCTION  

E-Print Network [OSTI]

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

370

Proposal for the award of a contract for the supply and maintenance of six 380 V 50 Hz diesel generators for the LEP electrical distribution system  

E-Print Network [OSTI]

Proposal for the award of a contract for the supply and maintenance of six 380 V 50 Hz diesel generators for the LEP electrical distribution system

1986-01-01T23:59:59.000Z

371

Strategic dynamic vehicle routing with spatio-temporal dependent demands  

E-Print Network [OSTI]

Dynamic vehicle routing problems address the issue of determining optimal routes for a set of vehicles, to serve a given set of demands that arrive sequentially in time. Traditionally, demands are assumed to be generated ...

Feijer, Diego (Diego Francisco Feijer Rovira)

2011-01-01T23:59:59.000Z

372

A study of small-scale energy networks of the Japanese Syowa Base in Antarctica by distributed engine generators  

Science Journals Connector (OSTI)

Abstract Fuel traffic to the Syowa Base of the South Pole is increasing from Japan, with growing research and observation occurring every year. Limits to fuel traffic and the spread of green energy utilization are topics of interest for Syowa Base; this research considers the construction of a Syowa Base small-scale energy network (Syowa Base Micro-Grid: SBMG) for the purposes of reducing fuel consumption and increasing green energy utilization. The number of engine generators, the operation plan for the batterys charge and discharge, and the introduction of an exhaust heat pump provided a means by which the load factor of the engine generator could be maintained high value from the fluctuations of green energy. This might be accomplished by modifying the main power supply of Syowa Base into a distributed power supply system rather than a conventional central power supply system. The relationship between the amount of green energy (photovoltaics and wind power generation) connected to the proposed power supply distribution and the amount of fuel consumed by the engine generators and backup boiler was clarified. Moreover, the outside temperatures, insulation levels, and wind velocity at the Syowa Base change seasonally, resulting in large changes in the SBMG operation method. Therefore, differences in the operation methods between the proposed power supply distribution system and the conventional central power supply were assessed during the summer (January), winter (July), and mid-season (October), and the resulting differences in fuel consumption were clarified.

Shinya Obara; Yuta morizane; Jorge Morel

2013-01-01T23:59:59.000Z

373

Connecting to the Grid: A Guide to Distributed Generation Interconnection Issues, 6th Edition, 2009  

Broader source: Energy.gov [DOE]

This guide addresses issues relevant to all DG technologies, including net excess generation, third-party ownership, energy storage and networks

374

Electricity Demand and Energy Consumption Management System  

E-Print Network [OSTI]

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

Sarmiento, Juan Ojeda

2008-01-01T23:59:59.000Z

375

Electric Water Heater Modeling and Control Strategies for Demand Response  

SciTech Connect (OSTI)

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

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

2012-07-22T23:59:59.000Z

376

Best practices and research for handling demand response security issues in the smart grid.  

E-Print Network [OSTI]

??When electricity demand is peak, utilities and other electric Independent Systems Operators (ISOs) keep electric generators on-line in order to meet the high demand. In (more)

Asavachivanthornkul, Prakarn

2010-01-01T23:59:59.000Z

377

Optimization of a stand?alone Solar PV?Wind?DG Hybrid System for Distributed Power Generation at Sagar Island  

Science Journals Connector (OSTI)

An estimation of a stand?alone solar PV and wind hybrid system for distributed power generation has been made based on the resources available at Sagar island a remote area distant to grid operation. Optimization and sensitivity analysis has been made to evaluate the feasibility and size of the power generation unit. A comparison of the different modes of hybrid system has been studied. It has been estimated that Solar PV?Wind?DG hybrid system provides lesser per unit electricity cost. Capital investment is observed to be lesser when the system run with Wind?DG compared to Solar PV?DG.

P. C. Roy; A. Majumder; N. Chakraborty

2010-01-01T23:59:59.000Z

378

3D phase-differentiated GDL microstructure generation with binder and PTFE distributions  

E-Print Network [OSTI]

December 2011 Keywords: PEM fuel cell Gas diffusion layer Stochastic generation a b s t r a c exchange membrane fuel cells (PEMFCs) are an attractive alternative for electrical power generation, partic) digital 3D micro- structures in a cost- and time-effective manner for the first time. The results

Kandlikar, Satish

379

Demand response enabling technology development  

E-Print Network [OSTI]

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

2006-01-01T23:59:59.000Z

380

Demand Response Spinning Reserve Demonstration  

E-Print Network [OSTI]

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

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Cross-sector Demand Response  

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

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

382

Demand Response Programs for Oregon  

E-Print Network [OSTI]

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

383

Demand response enabling technology development  

E-Print Network [OSTI]

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

Arens, Edward; Auslander, David; Huizenga, Charlie

2008-01-01T23:59:59.000Z

384

Automated Demand Response and Commissioning  

E-Print Network [OSTI]

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

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

2005-01-01T23:59:59.000Z

385

Performance Analysis of Positive-feedback-based Active Anti-islanding Schemes for Inverter-Based Distributed Generators  

SciTech Connect (OSTI)

Recently proposed positive-feedback-based anti-islanding schemes (AI) are highly effective in preventing islanding without causing any degradation in power quality. This paper aims to analyze the performance of these schemes quantitatively in the context of the dynamic models of inverter-based distributed generators (DG). In this study, the characteristics of these active anti-islanding methods are discussed and design guidelines are derived.

Du, Pengwei; Aponte, Erick E.; Nelson, J. Keith

2010-06-14T23:59:59.000Z

386

Demand Response In California  

Broader source: Energy.gov [DOE]

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

387

Energy Demand Forecasting  

Science Journals Connector (OSTI)

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

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

388

Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012  

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

Jay Morrison Jay Morrison Vice President, Regulatory Issues National Rural Electric Cooperative Association jay.morrison@nreca.coop Susan Kelly General Counsel, Senior Vice President American Public Power Association skelly@publicpower.org  DG penetration rates are increasing rapidly  Careful selection of business model can maximize value for all participants by:  Maximizing access to government incentives  Maximize access to all available value streams for the developer, customer, and utility  Minimize regulatory burdens for all parties  Provide win-win-win solution 2  What size generator?  What fuel or energy source? Does it include storage?  Who pays the up-front cost of the generator?  Who owns the generator?  Who operates the generator?

389

Voltage distribution over capacitively coupled plasma electrode for atmospheric-pressure plasma generation  

Science Journals Connector (OSTI)

When capacitively coupled plasma (CCP) is used to generate large-area plasma, the standing wave effect becomes significant, ... which results in the hindering of the uniform plasma process such as in a plasma etc...

Mitsutoshi Shuto; Fukumi Tomino; Hiromasa Ohmi

2013-05-01T23:59:59.000Z

390

Optical and thermodynamic analysis and optimization of a novel solar concentrating system for distributed power generation.  

E-Print Network [OSTI]

??A novel central receiver power system utilizing linked-tracking heliostats is analyzed for distributed-scale concentrated solar power. Smaller linkage groupings are typically found to have a (more)

Dunham, Marc Tyler Deo

2012-01-01T23:59:59.000Z

391

Demand-Side Management (DSM) Opportunities as Real-Options  

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

Demand-Side Management (DSM) Opportunities as Real-Options Demand-Side Management (DSM) Opportunities as Real-Options Speaker(s): Osman Sezgen Date: August 1, 2002 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Kristina LaCommare As some end-users of energy and aggregators are choosing to be exposed to real-time prices and energy price volatility, they are coming across new DSM opportunities that would not be feasible under typical utility rate structures. Effective evaluation of such opportunities requires a good understanding of the wholesale energy markets and the use of models based on recent financial techniques for option pricing. The speaker will give examples of such modeling approaches based on his experience in the retail-energy industry. Specific examples will include evaluation of distributed generation, load curtailment, dual-fuel cooling, and energy

392

Robust Unit Commitment Problem with Demand Response and ...  

E-Print Network [OSTI]

Abstract: To improve the efficiency in power generation and to reduce the greenhouse gas emission, both Demand Response (DR) strategy and intermittent...

Long Zhao

393

Flexible Demand Management under Time-Varying Prices  

E-Print Network [OSTI]

Day in a Typical Hourly Average Electricity Prices . . . . .on demand response to electricity price are mostly conductedassociated with electricity prices, local generation, and

Liang, Yong

2012-01-01T23:59:59.000Z

394

Utilizing Electric Vehicles to Assist Integration of Large Penetrations of Distributed Photovoltaic Generation Capacity  

SciTech Connect (OSTI)

Executive Summary Introduction and Motivation This analysis provides the first insights into the leveraging potential of distributed photovoltaic (PV) technologies on rooftop and electric vehicle (EV) charging. Either of the two technologies by themselves - at some high penetrations may cause some voltage control challenges or overloading problems, respectively. But when combined, there at least intuitively could be synergistic effects, whereby one technology mitigates the negative impacts of the other. High penetration of EV charging may overload existing distribution system components, most prominently the secondary transformer. If PV technology is installed at residential premises or anywhere downstream of the secondary transformer, it will provide another electricity source thus, relieving the loading on the transformers. Another synergetic or mitigating effect could be envisioned when high PV penetration reverts the power flow upward in the distribution system (from the homes upstream into the distribution system). Protection schemes may then no longer work and voltage violation (exceeding the voltage upper limited of the ANSI voltage range) may occur. In this particular situation, EV charging could absorb the electricity from the PV, such that the reversal of power flow can be reduced or alleviated. Given these potential mutual synergistic behaviors of PV and EV technologies, this project attempted to quantify the benefits of combining the two technologies. Furthermore, of interest was how advanced EV control strategies may influence the outcome of the synergy between EV charging and distributed PV installations. Particularly, Californian utility companies with high penetration of the distributed PV technology, who have experienced voltage control problems, are interested how intelligent EV charging could support or affect the voltage control

Tuffner, Francis K.; Chassin, Forrest S.; Kintner-Meyer, Michael CW; Gowri, Krishnan

2012-11-30T23:59:59.000Z

395

Updated greenhouse gas and criteria air pollutant emission factors and their probability distribution functions for electricity generating units  

SciTech Connect (OSTI)

Greenhouse gas (CO{sub 2}, CH{sub 4} and N{sub 2}O, hereinafter GHG) and criteria air pollutant (CO, NO{sub x}, VOC, PM{sub 10}, PM{sub 2.5} and SO{sub x}, hereinafter CAP) emission factors for various types of power plants burning various fuels with different technologies are important upstream parameters for estimating life-cycle emissions associated with alternative vehicle/fuel systems in the transportation sector, especially electric vehicles. The emission factors are typically expressed in grams of GHG or CAP per kWh of electricity generated by a specific power generation technology. This document describes our approach for updating and expanding GHG and CAP emission factors in the GREET (Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation) model developed at Argonne National Laboratory (see Wang 1999 and the GREET website at http://greet.es.anl.gov/main) for various power generation technologies. These GHG and CAP emissions are used to estimate the impact of electricity use by stationary and transportation applications on their fuel-cycle emissions. The electricity generation mixes and the fuel shares attributable to various combustion technologies at the national, regional and state levels are also updated in this document. The energy conversion efficiencies of electric generating units (EGUs) by fuel type and combustion technology are calculated on the basis of the lower heating values of each fuel, to be consistent with the basis used in GREET for transportation fuels. On the basis of the updated GHG and CAP emission factors and energy efficiencies of EGUs, the probability distribution functions (PDFs), which are functions that describe the relative likelihood for the emission factors and energy efficiencies as random variables to take on a given value by the integral of their own probability distributions, are updated using best-fit statistical curves to characterize the uncertainties associated with GHG and CAP emissions in life-cycle modeling with GREET.

Cai, H.; Wang, M.; Elgowainy, A.; Han, J. (Energy Systems)

2012-07-06T23:59:59.000Z

396

Dynamically generated electric charge distributions in Abelian projected SU(2) lattice gauge theories  

E-Print Network [OSTI]

We show in the maximal Abelian gauge the dynamical electric charge density generated by the coset fields, gauge fixing and ghosts shows antiscreening as in the case of the non-Abelian charge. We verify that with the completion of the ghost term all contributions to flux are accounted for in an exact lattice Ehrenfest relation.

A. Hart; R. W. Haymaker; Y. Sasai

1998-08-28T23:59:59.000Z

397

Atmospheric Environment 40 (2006) 55085521 Air quality impacts of distributed power generation in the South  

E-Print Network [OSTI]

entails the use of power generation technologies (e.g., fuel cells, gas turbines) to produce electricity in the South Coast Air Basin of California 1: Scenario development and modeling analysis M.A. Rodriguez, M are developed to determine the potential impacts of unexpected outcomes. Realistic implementations of DG

Dabdub, Donald

398

Self-triggered Communication Enabled Control of Distributed Generation in Microgrids  

E-Print Network [OSTI]

Tahir Member, IEEE Dept. of Elect. Eng. and Al-Khwarizmi Institute of Comp. Science University. System reliability for secondary control in microgrids can be improved by using a distributed cooperative control approach. For realizing the cooperative control of multiple DGs in smart-grid, a multi-agent based

Mazumder, Sudip K.

399

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

SciTech Connect (OSTI)

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

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

2014-01-31T23:59:59.000Z

400

Two Market Models for Demand Response in Power Networks  

E-Print Network [OSTI]

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

Low, Steven H.

Note: This page contains sample records for the topic "demand distributed generation" 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

Can distributed generation offer substantial benefits in a Northeastern American context? A case study of small-scale renewable technologies using a life cycle methodology  

Science Journals Connector (OSTI)

Renewable distributed electricity generation can play a significant role in meeting today's energy policy goals, such as reducing greenhouse gas emissions, improving energy security, while adding supply to meet increasing energy demand. However, the exact potential benefits are still a matter of debate. The objective of this study is to evaluate the life cycle implications (environmental, economic and energy) of distributed generation (DG) technologies. A complementary objective is to compare the life cycle implications of DG technologies with the centralized electricity production representing the Northeastern American context. Environmental and energy implications are modeled according to the recommendations in the ISO 14040 standard and this, using different indicators: Human Health; Ecosystem Quality; Climate Change; Resources and Non-Renewable Energy Payback Ratio. Distinctly, economic implications are modeled using conventional life cycle costing. DG technologies include two types of grid-connected photovoltaic panels (3kWp mono-crystalline and poly-crystalline) and three types of micro-wind turbines (1, 10 and 30kW) modeled for average, below average and above average climatic conditions in the province of Quebec (Canada). A sensitivity analysis was also performed using different scenarios of centralized energy systems based on average and marginal (short- and long-term) technology approaches. Results show the following. First, climatic conditions (i.e., geographic location) have a significant effect on the results for the environmental, economic and energy indicators. More specifically, it was shown that the 30kW micro-wind turbine is the best technology for above average conditions, while 3kWp poly-crystalline photovoltaic panels are preferable for below average conditions. Second, the assessed DG technologies do not show benefits in comparison to the centralized Quebec grid mix (average technology approach). On the other hand, the 30kW micro-wind turbine shows a potential benefit as long as the Northeastern American electricity market is considered (i.e., oil and coal centralized technologies are affected for the short- and long-term marginal scenarios, respectively). Photovoltaic panels could also become more competitive if the acquisition cost decreased. In conclusion, DG utilization will represent an improvement over centralized electricity production in a Northeastern American context, with respect to the environmental, energy and economic indicators assessed, and under the appropriate conditions discussed (i.e., geographical locations and affected centralized electricity production scenarios).

Mourad Ben Amor; Pascal Lesage; Pierre-Olivier Pineau; Rjean Samson

2010-01-01T23:59:59.000Z

402

Real-Time Deferrable Load Control: Handling the Uncertainties of Renewable Generation  

E-Print Network [OSTI]

Real-Time Deferrable Load Control: Handling the Uncertainties of Renewable Generation Lingwen Gan for handling the un- certainties of renewable generation. Traditionally, demand response has been focused in renewable generation. In this paper, we propose a real-time distributed deferrable load control algorithm

Low, Steven H.

403

Advanced Inverter Technology for High Penetration Levels of PV Generation in Distribution Systems  

SciTech Connect (OSTI)

This subcontract report was completed under the auspices of the NREL/SCE High-Penetration Photovoltaic (PV) Integration Project, which is co-funded by the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) and the California Solar Initiative (CSI) Research, Development, Demonstration, and Deployment (RD&D) program funded by the California Public Utility Commission (CPUC) and managed by Itron. This project is focused on modeling, quantifying, and mitigating the impacts of large utility-scale PV systems (generally 1-5 MW in size) that are interconnected to the distribution system. This report discusses the concerns utilities have when interconnecting large PV systems that interconnect using PV inverters (a specific application of frequency converters). Additionally, a number of capabilities of PV inverters are described that could be implemented to mitigate the distribution system-level impacts of high-penetration PV integration. Finally, the main issues that need to be addressed to ease the interconnection of large PV systems to the distribution system are presented.

Schauder, C.

2014-03-01T23:59:59.000Z

404

Temperature and thermal stress distributions for the HFIR permanent reflector generated by nuclear heating  

SciTech Connect (OSTI)

The beryllium permanent reflector of the High Flux Isotope Reactor has the main functions for slowing down and reflecting the neutrons and housing the experimental facilities. The reflector is heated as a result of the nuclear reaction. Heat is removed mainly by the cooling water passing through the densely distributed coolant holes along the vertical or axial direction of the reflector. The reflector neutronic distribution and its heating rate are calculated by J.C. Gehin of the Oak Ridge National Laboratory by applying the Monte Carlo Code MCNP. The heat transfer boundary conditions along several reflector interfaces are estimated to remove additional heat from the reflector. The present paper is to report the calculation results of the temperature and the thermal stress distributions of the permanent reflector by applying the computer aided design code I-DEAS and the finite element code ABAQUS. The present calculation is to estimate the high stress areas as a result of the new beam tube cutouts along the horizontal mid-plane of the reflector of the recent reactor upgrade project. These high stresses were not able to be calculated in the preliminary design analysis in earlier 60`s. The heat transfer boundary conditions are used in this redesigned calculation. The material constants and the acceptance criteria for the allowable stresses are mainly based on that assumed in the preliminary design report.

Chang, S.J.

1998-04-01T23:59:59.000Z

405

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

406

demand | OpenEI  

Open Energy Info (EERE)

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

407

RTP Customer Demand Response  

Science Journals Connector (OSTI)

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

Steven Braithwait; Michael OSheasy

2002-01-01T23:59:59.000Z

408

World Energy Demand  

Science Journals Connector (OSTI)

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

Giovanni Petrecca

2014-01-01T23:59:59.000Z

409

Transportation Demand This  

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

Transportation Demand Transportation Demand This page inTenTionally lefT blank 75 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific and associated technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight

410

Income distribution trends and future food demand  

Science Journals Connector (OSTI)

...available for food consumption. While there is...between food and energy markets via biofuels...century studied food consumption of the Belgian working...in the market or home-produced. Two...over time. Food consumption can be disaggregated...is poor. Their average income is Y, while...

2010-01-01T23:59:59.000Z

411

Distributively generated near rings on the dihedral group of order eight  

E-Print Network [OSTI]

DISTRIBHvlri "LY GEZERKTED NEZR RINGS ON THE DIH ', DRAL GRODP OP ORDER EIGHT A Thesis INRy LING VILLHITE Submitted to the Gra~', . ate ' allege of Tezas jan& Rnid e'r, si!, y in Parti "1 fulfillment of the reGui rom nt fo- the eSree o MASTER... GP BC. E. ":lOE December le~70 Major Subject: llathematics DISTRIBUTIVELY GMWRA ED NEAR RINGE ON THE DIHED tAL GROUP OF ORDER EIGHT A Thesis NARY LYNN VILLHITE Approved as to st'yle and. content 'by: ax man. of Gom; i ee , member A &. ~;g...

Willhite, Mary Lynn

1970-01-01T23:59:59.000Z

412

Reliability modeling of demand response considering uncertainty of customer behavior  

Science Journals Connector (OSTI)

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

Hyung-Geun Kwag; Jin-O Kim

2014-01-01T23:59:59.000Z

413

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

414

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

415

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

416

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

E-Print Network [OSTI]

. The potential of smart appliance demand response has been recognized and studied extensively under DOE funding, intertemporal scheduling of demand and optimal location signals to distributed renewable generation and last, and more. Nevertheless, mature, yet unexploited opportunities can be sought in the potential of extensive

Caramanis, Michael

417

A new method for power generation and distribution in outer space  

SciTech Connect (OSTI)

The power system is a major component of a space system's size, mass, technical complexity, and hence, cost. To date, space systems include the energy source as an integral part of the mission satellite. Potentially significant benefit could be realized by separating the energy source from the end-use system and transmitting the power via an energy beam (power beaming) (Coomes et al., 1989). This concept parallels the terrestrial central generating station and transmission grid. In this summary, the system components required for power beaming implementation are outlined and applied to a satellite for power beaming implementation are outlined and applied to a satellite constellation to demonstrate the feasibility of implementing power beaming in the next 20 years. 5 refs., 1 fig., 3 tabs.

Bamberger, J.A.

1989-09-01T23:59:59.000Z

418

Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May  

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

Protecting Intelligent Distributed Power Grids Against Cyber Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May 2008 Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May 2008 Development of a novel distributed and hierarchical security layer specific to intelligent grid design will help protect intelligent distributed power grids from cyber attacks. Intelligent power grids are interdependent energy management systems-encompassing generation, distribution, IT networks, and control systems-that use automated data analysis and demand response capabilities to increase system functionality, efficiency, and reliability. But increased interconnection and automation over a large geographical area requires a distributed and hierarchical approach to cybersecurity. Protecting Intelligent Distributed Power Grids Again Cyber Attacks.pdf

419

Changing Energy Demand Behavior: Potential of Demand-Side Management  

Science Journals Connector (OSTI)

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

Dr. Sylvia Breukers; Dr. Ruth Mourik

2013-01-01T23:59:59.000Z

420

Demand Response Valuation Frameworks Paper  

E-Print Network [OSTI]

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

Heffner, Grayson

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution  

Buildings Energy Data Book [EERE]

3 3 Electric Capacity Factors, by Year and Fuel Type (1) Conventional Coal Petroleum Natural Gas Nuclear Hydroelectric Solar/PV Wind Total 1990 59% 17% 23% 66% 45% 13% 18% 46% 1991 59% 18% 22% 70% 43% 17% 18% 46% 1992 59% 14% 22% 71% 38% 13% 18% 45% 1993 61% 16% 21% 70% 41% 16% 19% 46% 1994 61% 15% 22% 74% 38% 17% 23% 46% 1995 62% 11% 22% 77% 45% 17% 21% 47% 1996 65% 11% 19% 76% 52% 18% 22% 48% 1997 66% 13% 20% 72% 51% 17% 23% 48% 1998 67% 20% 23% 79% 47% 17% 20% 50% 1999 67% 20% 22% 85% 46% 15% 23% 51% 2000 70% 18% 22% 88% 40% 15% 27% 51% 2001 68% 20% 21% 89% 31% 16% 20% 48% 2002 69% 16% 18% 90% 38% 16% 27% 46% 2003 71% 21% 14% 88% 40% 15% 21% 44% 2004 71% 22% 16% 90% 39% 17% 25% 44% 2005 72% 22% 17% 89% 40% 15% 23% 45% 2006 71% 11% 19% 90% 42% 14% 27% 45% 2007 72% 12% 21% 92% 36% 14% 24% 45% 2008 71% 8% 20% 91% 37% 18% 26% 44% 2009 63% 7% 21% 90% 40% 16% 25% 42% 2010 (2) 65% 6% 23% 91% 37% 17% 29% 43% Note(s): Source(s) 1) EIA defines capacity factor to be "the ratio of the electrical energy produced by a generating unit for the period of time considered to the

422

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

423

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

424

Demand Response In California  

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

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

425

On Demand Guarantees in Iran.  

E-Print Network [OSTI]

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

Ahvenainen, Laura

2009-01-01T23:59:59.000Z

426

Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution  

Buildings Energy Data Book [EERE]

4 4 Electric Conversion Factors and Transmission and Distribution (T&D) Losses Average Utility Average Utility Growth Rate Delivery Efficiency (1, 2) Delivery Ratio (Btu/kWh) (2, 3) (2010-year) 1980 29.4% 1981 29.9% 1982 29.7% 1983 29.8% 1984 30.5% 1985 30.4% 1986 30.8% 1987 31.1% 1988 31.1% 1989 30.2% 1990 30.3% 1991 30.5% 1992 30.7% 1993 30.6% 1994 30.9% 1995 30.7% 1996 30.7% 1997 30.8% 1998 30.7% 1999 30.6% 2000 30.7% 2001 31.1% 2002 31.1% 2003 31.3% 2004 31.3% 2005 31.5% 2006 31.7% 2007 31.8% 2008 31.8% 2009 32.2% 2010 32.3% 2011 32.1% 2012 32.4% 2013 32.7% 2014 33.0% 2015 33.1% 2016 33.2% 2017 33.1% 2018 33.1% 2019 33.1% 2020 33.1% 2021 33.2% 2022 33.2% 2023 33.2% 2024 33.2% 2025 33.1% 2026 33.2% 2027 33.3% 2028 33.4% 10,218 0.2% 10,294 0.2% 10,266 0.2% 10,247 0.2% 10,277 0.2% 10,291 0.2% 10,281 0.2% 10,300 0.3% 10,301 0.3% 10,282 0.3% 10,292 0.4% 10,310 0.4% 10,305

427

EIA - Annual Energy Outlook 2008 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2008 with Projections to 2030 Electricity Demand Figure 60. Annual electricity sales by sector, 1980-2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 61. Electricity generation by fuel, 2006 and 2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Residential and Commercial Sectors Dominate Electricity Demand Growth Total electricity sales increase by 29 percent in the AEO2008 reference case, from 3,659 billion kilowatthours in 2006 to 4,705 billion in 2030, at an average rate of 1.1 percent per year. The relatively slow growth follows the historical trend, with the growth rate slowing in each succeeding

428

Long-term electricity demand forecasting for power system planning using economic, demographic and climatic variables  

Science Journals Connector (OSTI)

The stochastic planning of power production overcomes the drawback of deterministic models by accounting for uncertainties in the parameters. Such planning accounts for demand uncertainties by using scenario sets and probability distributions. However, in previous literature, different scenarios were developed by either assigning arbitrary values or assuming certain percentages above or below a deterministic demand. Using forecasting techniques, reliable demand data can be obtained and inputted to the scenario set. This article focuses on the long-term forecasting of electricity demand using autoregressive, simple linear and multiple linear regression models. The resulting models using different forecasting techniques are compared through a number of statistical measures and the most accurate model was selected. Using Ontario's electricity demand as a case study, the annual energy, peak load and base load demand were forecasted up to the year 2025. In order to generate different scenarios, different ranges in the economic, demographic and climatic variables were used. [Received 16 October 2007; Revised 31 May 2008; Revised 25 October 2008; Accepted 1 November 2008

F. Chui; A. Elkamel; R. Surit; E. Croiset; P.L. Douglas

2009-01-01T23:59:59.000Z

429

Development and Testing of a 6-Cylinder HCCI Engine for Distributed Generation  

SciTech Connect (OSTI)

This paper describes the technical approach for converting a Caterpillar 3406 natural gas spark ignited engine into HCCI mode. The paper describes all stages of the process, starting with a preliminary analysis that determined that the engine can be operated by preheating the intake air with a heat exchanger that recovers energy from the exhaust gases. This heat exchanger plays a dual role, since it is also used for starting the engine. For start-up, the heat exchanger is preheated with a natural gas burner. The engine is therefore started in HCCI mode, avoiding the need to handle the potentially difficult transition from SI or diesel mode to HCCI. The fueling system was modified by replacing the natural gas carburetor with a liquid petroleum gas (LPG) carburetor. This modification sets an upper limit for the equivalence ratio at {phi} {approx} 0.4, which is ideal for HCCI operation and guarantees that the engine will not fail due to knock. Equivalence ratio can be reduced below 0.4 for low load operation with an electronic control valve. Intake boosting has been a challenge, as commercially available turbochargers are not a good match for the engine, due to the low HCCI exhaust temperature. Commercial introduction of HCCI engines for stationary power will therefore require the development of turbochargers designed specifically for this mode of operation. Considering that no appropriate off-the-shelf turbocharger for HCCI engines exists at this time, we are investigating mechanical supercharging options, which will deliver the required boost pressure (3 bar absolute intake) at the expense of some reduction in the output power and efficiency. An appropriate turbocharger can later be installed for improved performance when it becomes available or when a custom turbocharger is developed. The engine is now running in HCCI mode and producing power in an essentially naturally aspirated mode. Current work focuses on developing an automatic controller for obtaining consistent combustion in the 6 cylinders. The engine will then be tested for 1000 hours to demonstrate durability. This paper presents intermediate progress towards development of an HCCI engine for stationary power generation and next steps towards achieving the project goals.

Flowers, D L; Martinez-Frias, J; Espinosa-Loza, F; Killingsworth, N; Aceves, S M; Dibble, R; Kristic, M; Bining, A

2005-07-12T23:59:59.000Z

430

Energy Demand Staff Scientist  

E-Print Network [OSTI]

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

Eisen, Michael

431

Energy Demand Modeling  

Science Journals Connector (OSTI)

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

S. L. Schwartz

1980-01-01T23:59:59.000Z

432

Demand Activated Manufacturing Architecture  

SciTech Connect (OSTI)

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

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

2001-02-07T23:59:59.000Z

433

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

434

Unlocking the potential for efficiency and demand response through advanced  

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

Unlocking the potential for efficiency and demand response through advanced Unlocking the potential for efficiency and demand response through advanced metering Title Unlocking the potential for efficiency and demand response through advanced metering Publication Type Conference Paper LBNL Report Number LBNL-55673 Year of Publication 2004 Authors Levy, Roger, Karen Herter, and John Wilson Conference Name 2004 ACEEE Summer Study on Energy Efficiency in Buildings Date Published 06/2004 Publisher ACEEE Conference Location Pacific Grove, CA Call Number California Energy Commission Keywords demand response, demand response and distributed energy resources center, demand response research center, energy efficiency demand response advanced metering, rate programs & tariffs Abstract Reliance on the standard cumulative kilowatt-hour meter substantially compromises energy efficiency and demand response programs. Without advanced metering, utilities cannot support time-differentiated rates or collect the detailed customer usage information necessary to (1) educate the customer to the economic value of efficiency and demand response options, or (2) distribute load management incentives proportional to customer contribution. These deficiencies prevent the customer feedback mechanisms that would otherwise encourage economically sound demand-side investments and behaviors. Thus, the inability to collect or properly price electricity usage handicaps the success of almost all efficiency and demand response options.

435

Residential Demand Module  

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

for EIA (SENTECH Incorporated, 2010). Wind: The Cost and Performance of Distributed Wind Turbines, 2010-35 (ICF International, 2010). 33 U.S. Energy Information Administration |...

436

Distribution:  

Office of Legacy Management (LM)

JAN26 19% JAN26 19% Distribution: OR00 Attn: h.H.M.Roth DFMusser ITMM MMMann INS JCRyan FIw(2) Hsixele SRGustavson, Document rocm Formal file i+a@mmm bav@ ~@esiaw*cp Suppl. file 'Br & Div rf's s/health (lic.only) UNITED STATES ATOMIC ENERGY COMMISSION SPECIAL NUCLEAB MATERIAL LICENSE pursuant to the Atomic Energy Act of 1954 and Title 10, Code of Federal Regulations, Chapter 1, P&t 70, "Special Nuclear Material Reg)llatiqm," a license is hereby issued a$hortztng the licensee to rekeive and possess the special nuclear material designated below; to use such special nuclear mat&ial for the purpose(s) and at the place(s) designated below; and to transfer such material to per&s authorized to receive it in accordance with the regula,tions in said Part.

437

A novel control strategy of a distributed generator operating in seven modes for ancillary services under grid faults  

Science Journals Connector (OSTI)

This study was interested in a renewable distributed generator (RDG) made up of a wind turbine used as a principal source and a supercapacitor (SC) considered as a storage system. The studied RDG is associated with loads to constitute a micro-grid (MG) which can operate in grid connected mode, stand alone mode or synchronization mode. The objective of this work is to investigate a novel control scheme for MG integrated into power electrical system in order to maintain the voltage and the frequency of the grid in an allowable range and to ensure the continuity of power supply in case of grid failure. This control strategy made up of two parts: the first one is the power management algorithm used to detect islanding in case of defect and to monitor the RDG into seven operating modes. The second one is the droop control used to control the exported or imported active and reactive powers transferred with the grid ensuring its stability by adjusting the frequency and amplitude of its output voltage. The system is simulated using MATLAB software and results are provided in order to show the feasibility of this control strategy.

Mouna Rekik; Achraf Abdelkafi; Lotfi Krichen

2013-01-01T23:59:59.000Z

438

Utility Sector Impacts of Reduced Electricity Demand  

SciTech Connect (OSTI)

This report presents a new approach to estimating the marginal utility sector impacts associated with electricity demand reductions. The method uses publicly available data and provides results in the form of time series of impact factors. The input data are taken from the Energy Information Agency's Annual Energy Outlook (AEO) projections of how the electric system might evolve in the reference case, and in a number of side cases that incorporate different effciency and other policy assumptions. The data published with the AEO are used to define quantitative relationships between demand-side electricity reductions by end use and supply-side changes to capacity by plant type, generation by fuel type and emissions of CO2, Hg, NOx and SO2. The impact factors define the change in each of these quantities per unit reduction in site electricity demand. We find that the relative variation in these impacts by end use is small, but the time variation can be significant.

Coughlin, Katie

2014-12-01T23:59:59.000Z

439

Uranium 2014 resources, production and demand  

E-Print Network [OSTI]

Published every other year, Uranium Resources, Production, and Demand, or the "Red Book" as it is commonly known, is jointly prepared by the OECD Nuclear Energy Agency and the International Atomic Energy Agency. It is the recognised world reference on uranium and is based on official information received from 43 countries. It presents the results of a thorough review of world uranium supplies and demand and provides a statistical profile of the world uranium industry in the areas of exploration, resource estimates, production and reactor-related requirements. It provides substantial new information from all major uranium production centres in Africa, Australia, Central Asia, Eastern Europe and North America. Long-term projections of nuclear generating capacity and reactor-related uranium requirements are provided as well as a discussion of long-term uranium supply and demand issues. This edition focuses on recent price and production increases that could signal major changes in the industry.

Organisation for Economic Cooperation and Development. Paris

2014-01-01T23:59:59.000Z

440

Towards continuous policy-driven demand response in data centers  

Science Journals Connector (OSTI)

Demand response (DR) is a technique for balancing electricity supply and demand by regulating power consumption instead of generation. DR is a key technology for emerging smart electric grids that aim to increase grid efficiency, while incorporating ... Keywords: blink, power, renewable energy, storage

David Irwin; Navin Sharma; Prashant Shenoy

2011-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Demand Response | Department of Energy  

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

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

442

Understanding and Analysing Energy Demand  

Science Journals Connector (OSTI)

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

Subhes C. Bhattacharyya

2011-01-01T23:59:59.000Z

443

Demand Response: Load Management Programs  

E-Print Network [OSTI]

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

Simon, J.

2012-01-01T23:59:59.000Z

444

Marketing Demand-Side Management  

E-Print Network [OSTI]

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

O'Neill, M. L.

1988-01-01T23:59:59.000Z

445

Demand Charges | Open Energy Information  

Open Energy Info (EERE)

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

446

Data centres power profile selecting policies for Demand Response: Insights of Green Supply Demand Agreement  

Science Journals Connector (OSTI)

Abstract Demand Response mechanisms serve to preserve the stability of the power grid by shedding the electricity load of the consumers during power shortage situations in order to match power generation to demand. Data centres have been identified as excellent candidates to participate in such mechanisms. Recently a novel supply demand agreement have been proposed to foster power adaptation collaboration between energy provider and data centres. In this paper, we analyse the contractual terms of this agreement by proposing and studying different data centres power profile selecting policies. To this end, we setup a discrete event simulation and analysed the power grids state of a German energy provider. We believe that our analysis provides insight and knowledge for any energy utility in setting up the corresponding demand supply agreements.

Robert Basmadjian; Lukas Mller; Hermann De Meer

2015-01-01T23:59:59.000Z

447

Assessment of Demand Response Resource  

E-Print Network [OSTI]

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

448

ERCOT Demand Response Paul Wattles  

E-Print Network [OSTI]

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

Mohsenian-Rad, Hamed

449

Pricing data center demand response  

Science Journals Connector (OSTI)

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

Zhenhua Liu; Iris Liu; Steven Low; Adam Wierman

2014-06-01T23:59:59.000Z

450

Scenario Analysis of Peak Demand Savings for Commercial Buildings with  

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

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

451

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

SciTech Connect (OSTI)

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

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

2012-04-29T23:59:59.000Z

452

Incentive effects of paying demand response in wholesale electricity markets  

Science Journals Connector (OSTI)

Recently issued U.S. Federal Energy Regulatory Commission regulations require comparable treatment of demand reduction and generation in the wholesale electric market so that they are compensated at the same mark...

Hung-po Chao; Mario DePillis

2013-06-01T23:59:59.000Z

453

Role of Context-Awareness for Demand Response Mechanisms  

Science Journals Connector (OSTI)

Recently due to major changes in the structure of electricity industry and the rising costs of power generation, many countries have realized the potential and benefits of smart metering systems and demand response

Pari Delir Haghighi; Shonali Krishnaswamy

2011-01-01T23:59:59.000Z

454

U.S. Coal Supply and Demand  

Gasoline and Diesel Fuel Update (EIA)

U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand 2010 Review (entire report also available in printer-friendly format ) Previous Editions 2009 Review 2008 Review 2007 Review 2006 Review 2005 Review 2004 Review 2003 Review 2002 Review 2001 Review 2000 Review 1999 Review Data for: 2010 Released: May 2011 Next Release Date: April 2012 Table 3. Electric Power Sector Net Generation, 2009-2010 (Million Kilowatthours) New England Coal 14,378 14,244 -0.9 Hydroelectric 7,759 6,861 -11.6 Natural Gas 48,007 54,680 13.9 Nuclear 36,231 38,361 5.9 Other (1) 9,186 9,063 -1.3 Total 115,559 123,210 6.6 Middle Atlantic Coal 121,873 129,935 6.6 Hydroelectric 28,793 26,463 -8.1 Natural Gas 89,808 104,341 16.2 Nuclear 155,140 152,469 -1.7

455

Oxygenate Supply/Demand Balances  

Gasoline and Diesel Fuel Update (EIA)

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

456

Distribution System State Estimation  

Office of Scientific and Technical Information (OSTI)

these include reactive power management, outage management, loss reduction, demand response, adaptable over-current protection, condition-based maintenance, distributed...

457

Analysis of Residential Demand Response and Double-Auction Markets  

SciTech Connect (OSTI)

Demand response and dynamic pricing programs are expected to play increasing roles in the modern Smart Grid environment. While direct load control of end-use loads has existed for decades, price driven response programs are only beginning to be explored at the distribution level. These programs utilize a price signal as a means to control demand. Active markets allow customers to respond to fluctuations in wholesale electrical costs, but may not allow the utility to control demand. Transactive markets, utilizing distributed controllers and a centralized auction can be used to create an interactive system which can limit demand at key times on a distribution system, decreasing congestion. With the current proliferation of computing and communication resources, the ability now exists to create transactive demand response programs at the residential level. With the combination of automated bidding and response strategies coupled with education programs and customer response, emerging demand response programs have the ability to reduce utility demand and congestion in a more controlled manner. This paper will explore the effects of a residential double-auction market, utilizing transactive controllers, on the operation of an electric power distribution system.

Fuller, Jason C.; Schneider, Kevin P.; Chassin, David P.

2011-10-10T23:59:59.000Z

458

Demand Response Programs, 6. edition  

SciTech Connect (OSTI)

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

NONE

2007-10-15T23:59:59.000Z

459

A hybrid inventory management system respondingto regular demand and surge demand  

SciTech Connect (OSTI)

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

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

2014-06-01T23:59:59.000Z

460

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

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

Levy, Roger

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand distributed generation" 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

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

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

Goldman, Charles

2010-01-01T23:59:59.000Z

462

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

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

Levy, Roger

2014-01-01T23:59:59.000Z

463

Installation and Commissioning Automated Demand Response Systems  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

464

Barrier Immune Radio Communications for Demand Response  

E-Print Network [OSTI]

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

Rubinstein, Francis

2010-01-01T23:59:59.000Z

465

Retail Demand Response in Southwest Power Pool  

E-Print Network [OSTI]

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

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

466

Home Network Technologies and Automating Demand Response  

E-Print Network [OSTI]

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

McParland, Charles

2010-01-01T23:59:59.000Z

467

Wireless Demand Response Controls for HVAC Systems  

E-Print Network [OSTI]

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

Federspiel, Clifford

2010-01-01T23:59:59.000Z

468

Strategies for Demand Response in Commercial Buildings  

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

469

Option Value of Electricity Demand Response  

E-Print Network [OSTI]

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

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

2005-01-01T23:59:59.000Z

470

Demand Responsive Lighting: A Scoping Study  

E-Print Network [OSTI]

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

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

471

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

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

Goldman, Charles

2010-01-01T23:59:59.000Z

472

China's Coal: Demand, Constraints, and Externalities  

E-Print Network [OSTI]

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

Aden, Nathaniel

2010-01-01T23:59:59.000Z

473

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

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

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

474

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

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

Goldman, Charles

2010-01-01T23:59:59.000Z

475

electricity demand | OpenEI  

Open Energy Info (EERE)

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

476

Annual World Oil Demand Growth  

Gasoline and Diesel Fuel Update (EIA)

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

477

Rates and technologies for mass-market demand response  

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

Rates and technologies for mass-market demand response Rates and technologies for mass-market demand response Title Rates and technologies for mass-market demand response Publication Type Conference Paper LBNL Report Number LBNL-50626 Year of Publication 2002 Authors Herter, Karen, Roger Levy, John Wilson, and Arthur H. Rosenfeld Conference Name 2002 ACEEE Summer Study on Energy Efficiency in Buildings Conference Location Pacific Grove, CA Keywords demand response, demand response and distributed energy resources center, demand response research center, rate programs & tariffs Abstract Demand response programs are often quickly and poorly crafted in reaction to an energy crisis and disappear once the crisis subsides, ensuring that the electricity system will be unprepared when the next crisis hits. In this paper, we propose to eliminate the event-driven nature of demand response programs by considering demand responsiveness a component of the utility obligation to serve. As such, demand response can be required as a condition of service, and the offering of demand response rates becomes a requirement of utilities as an element of customer service. Using this foundation, we explore the costs and benefits of a smart thermostat-based demand response system capable of two types of programs: (1) a mandatory, system-operator controlled, contingency program, and (2) a voluntary, customer controlled, bill management program with rate-based incentives. Any demand response program based on this system could consist of either or both of these components. Ideally, these programs would be bundled, providing automatic load management through customer-programmed price response, plus up to 10 GW of emergency load shedding capability in California. Finally, we discuss options for and barriers to implementation of such a program in California.

478

Convergence problem in forward/backward sweep power flow method caused by non-positive-sequence impedance of distributed generators and its solution  

Science Journals Connector (OSTI)

Abstract A variety of distributed generators (DGs) are integrated in distribution system which is usually operated under three-phase unbalanced conditions. The zero and negative sequence impedances of \\{DGs\\} may vary within a large range. In this paper, the convergence problem caused by the zero and negative sequence impedances of \\{DGs\\} in forward/backward sweep three-phase power flow is found through numerical experiments. The reason of this phenomenon is explained and an impedance compensation method is proposed to solve this problem.

Yuntao Ju; Wenchuan Wu; Boming Zhang

2014-01-01T23:59:59.000Z

479

Fact Sheet: Protecting Intelligent Distributed Power Grids Against Cyber Attacks  

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

Protecting Intelligent Distributed Protecting Intelligent Distributed Power Grids Against Cyber Attacks Development of a novel distributed and hierarchical security layer specific to intelligent grid design Intelligent power grids are interdependent energy management systems- encompassing generation, distribution, IT networks, and control systems-that use automated data analysis and demand response capabilities to increase system functionality, efficiency, and reliability. But increased interconnection and automation over a large geographical area requires a distributed and hierarchical approach to cyber security. This two-year project will develop three security components unique to intelligent power grids. The first is an automated

480

Please cite this article in press as: Hughes L, Meeting residential space heating demand with wind-generated electricity, Renewable Energy (2009), doi:10.1016/j.renene.2009.11.014  

E-Print Network [OSTI]

, or compressed air (Blarke and Lund 2008). Energy suppliers are forced to go to these lengths when integrating. The benefits as well as the limitations of the approach are discussed in detail. Keywords: Energy storage- generated electricity, Renewable Energy (2009), doi:10.1016/j.renene.2009.11.014 ERG/200909 Meeting

Hughes, Larry

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481

China's Coal: Demand, Constraints, and Externalities  

SciTech Connect (OSTI)

This study analyzes China's coal industry by focusing on four related areas. First, data are reviewed to identify the major drivers of historical and future coal demand. Second, resource constraints and transport bottlenecks are analyzed to evaluate demand and growth scenarios. The third area assesses the physical requirements of substituting coal demand growth with other primary energy forms. Finally, the study examines the carbon- and environmental implications of China's past and future coal consumption. There are three sections that address these areas by identifying particular characteristics of China's coal industry, quantifying factors driving demand, and analyzing supply scenarios: (1) reviews the range of Chinese and international estimates of remaining coal reserves and resources as well as key characteristics of China's coal industry including historical production, resource requirements, and prices; (2) quantifies the largest drivers of coal usage to produce a bottom-up reference projection of 2025 coal demand; and (3) analyzes coal supply constraints, substitution options, and environmental externalities. Finally, the last section presents conclusions on the role of coal in China's ongoing energy and economic development. China has been, is, and will continue to be a coal-powered economy. In 2007 Chinese coal production contained more energy than total Middle Eastern oil production. The rapid growth of coal demand after 2001 created supply strains and bottlenecks that raise questions about sustainability. Urbanization, heavy industrial growth, and increasing per-capita income are the primary interrelated drivers of rising coal usage. In 2007, the power sector, iron and steel, and cement production accounted for 66% of coal consumption. Power generation is becoming more efficient, but even extensive roll-out of the highest efficiency units would save only 14% of projected 2025 coal demand for the power sector. A new wedge of future coal consumption is likely to come from the burgeoning coal-liquefaction and chemicals industries. If coal to chemicals capacity reaches 70 million tonnes and coal-to-liquids capacity reaches 60 million tonnes, coal feedstock requirements would add an additional 450 million tonnes by 2025. Even with more efficient growth among these drivers, China's annual coal demand is expected to reach 3.9 to 4.3 billion tonnes by 2025. Central government support for nuclear and renewable energy has not reversed China's growing dependence on coal for primary energy. Substitution is a matter of scale: offsetting one year of recent coal demand growth of 200 million tonnes would require 107 billion cubic meters of natural gas (compared to 2007 growth of 13 BCM), 48 GW of nuclear (compared to 2007 growth of 2 GW), or 86 GW of hydropower capacity (compared to 2007 growth of 16 GW). Ongoing dependence on coal reduces China's ability to mitigate carbon dioxide emissions growth. If coal demand remains on a high growth path, carbon dioxide emissions from coal combustion alone would exceed total US energy-related carbon emissions by 2010. Within China's coal-dominated energy system, domestic transportation has emerged as the largest bottleneck for coal industry growth and is likely to remain a constraint to further expansion. China has a low proportion of high-quality reserves, but is producing its best coal first. Declining quality will further strain production and transport capacity. Furthermore, transporting coal to users has overloaded the train system and dramatically increased truck use, raising transportation oil demand. Growing international imports have helped to offset domestic transport bottlenecks. In the long term, import demand is likely to exceed 200 million tonnes by 2025, significantly impacting regional markets.

Aden, Nathaniel; Fridley, David; Zheng, Nina

2009-07-01T23:59:59.000Z

482

Mini Renewable Hybrid Distributed Power Plants for Lebanon  

Science Journals Connector (OSTI)

Lebanon has spent billions of dollars on its electricity sector, but the demand is higher than available power. In peak demand time, blackouts are the major phenomena in almost all the Lebanese regions. As the world today is going into green energy, this project This step will minimize green house gas emissions, increase the reliability of the grid finally, increase the power generation capacity in Lebanon. For all the mentioned problems, distributed generation using hybrid-renewable energy systems is proposed as a future solution for the Lebanese energy sector. Losses in the transmission and distribution system will be reduced since power is generated near loads. The grid availability and stability will increase and individuals can save money in their electricity bill and finally the generated power is clean and nonpolluting. A study of a design will be launched, including simulation using MATLAB/SIMULINK.

M.B. Najjar; Edmond Ghoulam; Hanna Fares

2012-01-01T23:59:59.000Z

483

Harnessing the power of demand  

SciTech Connect (OSTI)

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

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

2008-03-15T23:59:59.000Z

484

China, India demand cushions prices  

SciTech Connect (OSTI)

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

Boyle, M.

2006-11-15T23:59:59.000Z

485

Demand side management of electric car charging: Benefits for consumer and grid  

Science Journals Connector (OSTI)

Ireland is currently striving to source 10% of the energy required for its transport fleet from renewable energy sources by 2020. As part of the measures being implemented in order to help realise this ambitious target a number of Government schemes have been introduced to financially subsidise the purchase of alternative energy vehicles in an effort to achieve 10% EV (electric vehicle) penetration in the country's road fleet by 2020. The replacement of ICE (internal combustion engine) vehicles with EV equivalents poses challenges for grid operators while simultaneously offering opportunities in terms of distributed energy storage and flexible load. This paper examines how optimising the charging cycles of an electric car using DSM (Demand Side Management) based on a number of criteria could be used to achieve financial savings, increased demand on renewable energy, reduce demand on thermal generation plant, and reduce peak load demand. The results demonstrate that significant gains can be achieved using currently available market data which highlights the point that DSM can be implemented without any further technological advents.

P. Finn; C. Fitzpatrick; D. Connolly

2012-01-01T23:59:59.000Z

486

Linking meters and markets: Roles and incentives to support a flexible demand side  

Science Journals Connector (OSTI)

Abstract Present trends in the development of electricity systems are expected to generate a growing need for flexibility in decentralised resources, including demand response. In order to enable decentralised actors to create value, the organisation of markets and incentives should incorporate these new participants. The roll-out of smart metering to electricity consumers is an important precondition to establishing a flexible demand side and will provide essential information flows. On the basis of current incentive structures and related risks, however, the pass-through of information and value from wholesale market participants to the demand side is mostly infeasible, resulting in flexibility tasks being aggregated and delegated to balancing responsible wholesale traders. This analysis focuses on whether current incentives and roles are appropriate and where the design could be improved to establish a flexible demand side with a particular focus on the Danish case. Design-related barriers are identified that affect expected value, associated risks, and the distribution of responsibilities. This serves as a basis to define policy options in the context of Nordic electricity markets.

Jonas Katz

2014-01-01T23:59:59.000Z

487

Honeywell Demonstrates Automated Demand Response Benefits for...  

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

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

488

Retail Demand Response in Southwest Power Pool  

E-Print Network [OSTI]

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

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

489

E-Print Network 3.0 - aggregate electricity demand Sample Search...  

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

Distribution and Plants 11 Nordic TSOs' Action Plans in enhancing and monitoring Demand Response Summary: in Norway (draft) Nordel (2003): Statistical analysis of price response...

490

An Approach to Demand Response for Alleviating Power System Stress Conditions due to Electric Vehicle Penetration.  

E-Print Network [OSTI]

??Along with the growth of electricity demand and the penetration of intermittent renewable energy sources, electric power distribution networks will face more and more stress (more)

Shao, Shengnan

2011-01-01T23:59:59.000Z

491

Automated Demand Response and Commissioning  

SciTech Connect (OSTI)

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

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

2005-04-01T23:59:59.000Z

492

In situ diagnostic of the size distribution of nanoparticles generated by ultrashort pulsed laser ablation in vacuum  

SciTech Connect (OSTI)

We aim to characterize the size distribution of nanoparticles located in the ablation plume produced by femtosecond laser interaction. The proposed method relies on the use of white-light extinction spectroscopy setup assisted by ultrafast intensified temporal gating. This method allows measurement of optical absorbance of a nickel nanoparticles cloud. Simulation of the extinction section of nickel nanoparticles size distributions has been developed in order to compare the measured optical absorbance to the optical extinction by theoretical and experimental nanoparticles size distributions (measured by scanning electron microscopy). A good agreement has been found between the in situ measured optical absorbance and the optical extinction cross section calculated from ex situ nanoparticles size distribution measurements.

Bourquard, Florent; Loir, Anne-Sophie; Donnet, Christophe; Garrelie, Florence, E-mail: florence.garrelie@univ-st-etienne.fr [Universit de Lyon, CNRS UMR 5516, Laboratoire Hubert Curien, Universit Jean Monnet, Saint-tienne (France)] [Universit de Lyon, CNRS UMR 5516, Laboratoire Hubert Curien, Universit Jean Monnet, Saint-tienne (France)

2014-03-10T23:59:59.000Z

493

System Demand-Side Management: Regional results  

SciTech Connect (OSTI)

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

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

1990-05-01T23:59:59.000Z

494

Integrated electricity and heating demand-side management for wind power integration in China  

Science Journals Connector (OSTI)

Abstract The wind power generation system will play a crucial role for developing the energy conservative, environmentally friendly, and sustainable electric power system in China. However, the intermittency and unpredictability of wind power has been an obstacle to the deployment of wind power generation, especially in the winter of northern China. In northern China, a combined heat and power (CHP) unit has been widely utilized as a heat and electricity source. Considering the flexible operation of CHP with introduction of electric heat pumps (EHPs), this paper proposes a new method of electricity and heating demand side management to facilitate the wind power integration with the purpose of energy conservation in a unit-commitment problem. The thermal