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We encourage you to perform a real-time search of NLEBeta
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1

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

2

Open Automated Demand Response for Small Commerical Buildings  

E-Print Network (OSTI)

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

Dudley, June Han

2009-01-01T23:59:59.000Z

3

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

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

Ghatikar, Girish

2010-01-01T23:59:59.000Z

4

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

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

Kiliccote, Sila

2010-01-01T23:59:59.000Z

5

Analysis of Open Automated Demand Response Deployments in California  

E-Print Network (OSTI)

LBNL-6560E Analysis of Open Automated Demand Response Deployments in California and Guidelines The work described in this report was coordinated by the Demand Response Research. #12; #12;Abstract This report reviews the Open Automated Demand Response

6

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network (OSTI)

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

Piette, Mary Ann

2009-01-01T23:59:59.000Z

7

Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid  

E-Print Network (OSTI)

for Automated Demand Response in Commercial Buildings. ” In2010. “Open Automated Demand Response Dynamic Pricing2009. “Open Automated Demand Response Communications

Ghatikar, Girish

2010-01-01T23:59:59.000Z

8

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

E-Print Network (OSTI)

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

Kiliccote, Sila

2010-01-01T23:59:59.000Z

9

Analysis of Open Automated Demand Response Deployments in California and Guidelines to Transition to Industry Standards  

E-Print Network (OSTI)

to  Automated  Demand   Response  and  the  OpenADR  ®  Automated  Demand  Response  Program.   https://Data  for  Automated  Demand  Response  in  Commercial  

Ghatikar, Girish

2014-01-01T23:59:59.000Z

10

Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR  

E-Print Network (OSTI)

2009. Open Automated Demand Response Communications2010. Open Automated Demand Response Technologies forenergy efficiency and demand response: Framework concepts

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

11

Design and Operation of an Open, Interoperable Automated Demand Response  

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

Design and Operation of an Open, Interoperable Automated Demand Response Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings Title Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings Publication Type Journal Article LBNL Report Number LBNL-2340e Year of Publication 2009 Authors Piette, Mary Ann, Girish Ghatikar, Sila Kiliccote, David S. Watson, Edward Koch, and Dan Hennage Journal Journal of Computing Science and Information Engineering Volume 9 Issue 2 Keywords communication and standards, market sectors, openadr Abstract This paper describes the concept for and lessons from the development and field-testing of an open, interoperable communications infrastructure to support automated demand response (auto-DR). Automating DR allows greater levels of participation, improved reliability, and repeatability of the DR in participating facilities. This paper also presents the technical and architectural issues associated with auto-DR and description of the demand response automation server (DRAS), the client/server architecture-based middle-ware used to automate the interactions between the utilities or any DR serving entity and their customers for DR programs. Use case diagrams are presented to show the role of the DRAS between utility/ISO and the clients at the facilities.

12

Open Automated Demand Response Communications Specification (Version 1.0)  

E-Print Network (OSTI)

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

Piette, Mary Ann

2009-01-01T23:59:59.000Z

13

Automated Demand Response Technologies and Demonstration in New York City using OpenADR  

E-Print Network (OSTI)

C. McParland, "Open Automated Demand Response Communications2011. Utility & Demand Response Programs Energy ProviderAnnual Consumption (kWh) Demand Response Program Curtailment

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

14

Open Automated Demand Response for Small Commerical Buildings  

SciTech Connect

This report characterizes small commercial buildings by market segments, systems and end-uses; develops a framework for identifying demand response (DR) enabling technologies and communication means; and reports on the design and development of a low-cost OpenADR enabling technology that delivers demand reductions as a percentage of the total predicted building peak electric demand. The results show that small offices, restaurants and retail buildings are the major contributors making up over one third of the small commercial peak demand. The majority of the small commercial buildings in California are located in southern inland areas and the central valley. Single-zone packaged units with manual and programmable thermostat controls make up the majority of heating ventilation and air conditioning (HVAC) systems for small commercial buildings with less than 200 kW peak electric demand. Fluorescent tubes with magnetic ballast and manual controls dominate this customer group's lighting systems. There are various ways, each with its pros and cons for a particular application, to communicate with these systems and three methods to enable automated DR in small commercial buildings using the Open Automated Demand Response (or OpenADR) communications infrastructure. Development of DR strategies must consider building characteristics, such as weather sensitivity and load variability, as well as system design (i.e. under-sizing, under-lighting, over-sizing, etc). Finally, field tests show that requesting demand reductions as a percentage of the total building predicted peak electric demand is feasible using the OpenADR infrastructure.

Dudley, June Han; Piette, Mary Ann; Koch, Ed; Hennage, Dan

2009-05-01T23:59:59.000Z

15

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

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

Kiliccote, Sila

2010-01-01T23:59:59.000Z

16

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network (OSTI)

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

Mares, K.C.

2010-01-01T23:59:59.000Z

17

Automation of Capacity Bidding with an Aggregator Using Open Automated Demand Response  

E-Print Network (OSTI)

Protocol for Building Automation and Control  Networks.  Protocol for Building Automation and Control  Networks, Demand Response Automation Server  Demand Response Research 

Kiliccote, Sila

2011-01-01T23:59:59.000Z

18

Northwest Open Automated Demand Response Technology Demonstration Project  

SciTech Connect

The Lawrence Berkeley National Laboratory (LBNL) Demand Response Research Center (DRRC) demonstrated and evaluated open automated demand response (OpenADR) communication infrastructure to reduce winter morning and summer afternoon peak electricity demand in commercial buildings the Seattle area. LBNL performed this demonstration for the Bonneville Power Administration (BPA) in the Seattle City Light (SCL) service territory at five sites: Seattle Municipal Tower, Seattle University, McKinstry, and two Target stores. This report describes the process and results of the demonstration. OpenADR is an information exchange model that uses a client-server architecture to automate demand-response (DR) programs. These field tests evaluated the feasibility of deploying fully automated DR during both winter and summer peak periods. DR savings were evaluated for several building systems and control strategies. This project studied DR during hot summer afternoons and cold winter mornings, both periods when electricity demand is typically high. This is the DRRC project team's first experience using automation for year-round DR resources and evaluating the flexibility of commercial buildings end-use loads to participate in DR in dual-peaking climates. The lessons learned contribute to understanding end-use loads that are suitable for dispatch at different times of the year. The project was funded by BPA and SCL. BPA is a U.S. Department of Energy agency headquartered in Portland, Oregon and serving the Pacific Northwest. BPA operates an electricity transmission system and markets wholesale electrical power at cost from federal dams, one non-federal nuclear plant, and other non-federal hydroelectric and wind energy generation facilities. Created by the citizens of Seattle in 1902, SCL is the second-largest municipal utility in America. SCL purchases approximately 40% of its electricity and the majority of its transmission from BPA through a preference contract. SCL also provides ancillary services within its own balancing authority. The relationship between BPA and SCL creates a unique opportunity to create DR programs that address both BPA's and SCL's markets simultaneously. Although simultaneously addressing both market could significantly increase the value of DR programs for BPA, SCL, and the end user, establishing program parameters that maximize this value is challenging because of complex contractual arrangements and the absence of a central Independent System Operator or Regional Transmission Organization in the northwest.

Kiliccote, Sila; Piette, Mary Ann; Dudley, Junqiao

2010-03-17T23:59:59.000Z

19

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

SciTech Connect

The Pacific Gas and Electric Company (PG&E) is conducting a pilot program to investigate the technical feasibility of bidding certain demand response (DR) resources into the California Independent System Operator's (CAISO) day-ahead market for ancillary services nonspinning reserve. Three facilities, a retail store, a local government office building, and a bakery, are recruited into the pilot program. For each facility, hourly demand, and load curtailment potential are forecasted two days ahead and submitted to the CAISO the day before the operation as an available resource. These DR resources are optimized against all other generation resources in the CAISO ancillary service. Each facility is equipped with four-second real time telemetry equipment to ensure resource accountability and visibility to CAISO operators. When CAISO requests DR resources, PG&E's OpenADR (Open Automated DR) communications infrastructure is utilized to deliver DR signals to the facilities energy management and control systems (EMCS). The pre-programmed DR strategies are triggered without a human in the loop. This paper describes the automated system architecture and the flow of information to trigger and monitor the performance of the DR events. We outline the DR strategies at each of the participating facilities. At one site a real time electric measurement feedback loop is implemented to assure the delivery of CAISO dispatched demand reductions. Finally, we present results from each of the facilities and discuss findings.

Kiliccote, Sila; Piette, Mary Ann; Ghatikar, Girish; Koch, Ed; Hennage, Dan; Hernandez, John; Chiu, Albert; Sezgen, Osman; Goodin, John

2009-11-06T23:59:59.000Z

20

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

Facility Technician) Automated Logic Corporation: Ivanembedded in the Target’s Automated Logic Corporation (ALC)

Kiliccote, Sila

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "open automated demand" 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

SmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation  

E-Print Network (OSTI)

SmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation Enrico Tronci- ing, energy storage (e.g., batteries or plug-in hybrid electric vehicles) and energy production (e economically viable Intelligent Automation Services (IASs), which gather real-time data about energy usage from

Tronci, Enrico

22

Open Automated Demand Response for Small Commerical Buildings  

E-Print Network (OSTI)

communications.    Automated Logic Model  Vendor  Load Type of the HVAC.   Automated Logic Model  Vendor  Load Type 

Dudley, June Han

2009-01-01T23:59:59.000Z

23

Design and Implementation of an Open, Interoperable Automated Demand Response Infrastructure  

E-Print Network (OSTI)

of Fully Automated Demand Response in Large Facilities. CEC-Fully Automated Demand Response Tests in Large Facilities.Management and Demand Response in Commercial Building. ,

Piette, Mary Ann; Kiliccote, Sila; Ghatikar, Girish

2008-01-01T23:59:59.000Z

24

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network (OSTI)

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

Piette, Mary Ann

2009-01-01T23:59:59.000Z

25

Architecture Concepts and Technical Issues for an Open, Interoperable Automated Demand Response Infrastructure  

E-Print Network (OSTI)

energy efficiency and demand response in large facilities.was sponsored by the Demand Response Research Center whichInteroperable Automated Demand Response Infrastructure Ed

Koch, Ed; Piette, Mary Ann

2008-01-01T23:59:59.000Z

26

Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings  

SciTech Connect

This paper describes the concept for and lessons from the development and field-testing of an open, interoperable communications infrastructure to support automated demand response (auto-DR). Automating DR allows greater levels of participation, improved reliability, and repeatability of the DR in participating facilities. This paper also presents the technical and architectural issues associated with auto-DR and description of the demand response automation server (DRAS), the client/server architecture-based middle-ware used to automate the interactions between the utilities or any DR serving entity and their customers for DR programs. Use case diagrams are presented to show the role of the DRAS between utility/ISO and the clients at the facilities.

Piette, Mary Ann; Ghatikar, Girish; Kiliccote, Sila; Watson, David; Koch, Ed; Hennage, Dan

2009-05-01T23:59:59.000Z

27

Analysis of Open Automated Demand Response Deployments in California and Guidelines to Transition to Industry Standards  

SciTech Connect

This report reviews the Open Automated Demand Response (OpenADR) deployments within the territories serviced by California?s investor-owned utilities (IOUs) and the transition from the OpenADR 1.0 specification to the formal standard?OpenADR 2.0. As demand response service providers and customers start adopting OpenADR 2.0, it is necessary to ensure that the existing Automated Demand Response (AutoDR) infrastructure investment continues to be useful and takes advantage of the formal standard and its many benefits. This study focused on OpenADR deployments and systems used by the California IOUs and included a summary of the OpenADR deployment from the U.S. Department of Energy-funded demonstration conducted by the Sacramento Municipal Utility District (SMUD). Lawrence Berkeley National Laboratory collected and analyzed data about OpenADR 1.0 deployments, categorized architectures, developed a data model mapping to understand the technical compatibility of each version, and compared the capabilities and features of the two specifications. The findings, for the first time, provided evidence of the total enabled load shed and average first cost for system enablement in the IOU and SMUD service territories. The OpenADR 2.0a profile specification semantically supports AutoDR system architectures and data propagation with a testing and certification program that promotes interoperability, scaled deployments by multiple vendors, and provides additional features that support future services.

Ghatikar, Girish; Riess, David; Piette, Mary Ann

2014-01-02T23:59:59.000Z

28

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

significantly affect electricity costs for many facilities.lower operational electricity costs and reduce grid stress.to reduce their electricity costs. Standardized OpenADR

Ghatikar, Girish

2010-01-01T23:59:59.000Z

29

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

30

Automation of Capacity Bidding with an Aggregator Using Open Automated Demand Response  

E-Print Network (OSTI)

S.  Kiliccote.   Estimating Demand Response Load  Impacts: in California.   Demand Response Research Center, Lawrence and Techniques for Demand Response.  LBNL Report 59975.  

Kiliccote, Sila

2011-01-01T23:59:59.000Z

31

Automated Demand Response Technologies and Demonstration in New York City using OpenADR  

E-Print Network (OSTI)

and G. Heffner. “Do enabling technologies affect customerAutomated Demand Response Technologies and Demonstration inof Standards and Technology (NIST) along with organizations

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

32

Development and Demonstration of the Open Automated Demand Response Standard for the Residential Sector  

SciTech Connect

The goal of this study was to demonstrate a demand response system that can signal nearly every customer in all sectors through the integration of two widely available and non- proprietary communications technologies--Open Automated Demand Response (OpenADR) over lnternet protocol and Utility Messaging Channel (UMC) over FM radio. The outcomes of this project were as follows: (1) a software bridge to allow translation of pricing signals from OpenADR to UMC; and (2) a portable demonstration unit with an lnternet-connected notebook computer, a portfolio of DR-enabling technologies, and a model home. The demonstration unit provides visitors the opportunity to send electricity-pricing information over the lnternet (through OpenADR and UMC) and then watch as the model appliances and lighting respond to the signals. The integration of OpenADR and UMC completed and demonstrated in this study enables utilities to send hourly or sub-hourly electricity pricing information simultaneously to the residential, commercial and industrial sectors.

Herter, Karen; Rasin, Josh; Perry, Tim

2009-11-30T23:59:59.000Z

33

Field Demonstration of Automated Demand Response for Both Winter and Summer Events in Large Buildings in the Pacific Northwest  

E-Print Network (OSTI)

of fully automated demand response in large facilities,2009). Open Automated Demand Response CommunicationsOpen Automated Demand Response Technology Demonstration

Piette, Mary Ann

2014-01-01T23:59:59.000Z

34

Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings  

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

340E 340E Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings M.A. Piette, G. Ghatikar, S. Kiliccote, D. Watson Lawrence Berkeley National Laboratory E. Koch, D. Hennage Akuacom June 2009 Journal of Computing Science and Information Engineering, Vol. 9, Issue 2 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information,

35

Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR  

SciTech Connect

Open Automated Demand Response (OpenADR), an XML-based information exchange model, is used to facilitate continuous price-responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day-ahead hourly pricing. We summarize the existing demand response programs in New York and discuss OpenADR communication, prioritization of demand response signals, and control methods. Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management and demand response capabilities of two commercial buildings in New York City. Preliminary results reveal that providing machine-readable prices to commercial buildings can facilitate both demand response participation and continuous energy cost savings. Hence, efforts should be made to develop more sophisticated algorithms for building control systems to minimize customer's utility bill based on price and reliability information from the electricity grid.

Kim, Joyce Jihyun; Yin, Rongxin; Kiliccote, Sila

2013-10-01T23:59:59.000Z

36

Honeywell Demonstrates Automated Demand Response Benefits for...  

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

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

37

Automation systems for Demand Response, ForskEL (Smart Grid Project) | Open  

Open Energy Info (EERE)

systems for Demand Response, ForskEL (Smart Grid Project) systems for Demand Response, ForskEL (Smart Grid Project) Jump to: navigation, search Project Name Automation systems for Demand Response, ForskEL Country Denmark Coordinates 56.26392°, 9.501785° 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":56.26392,"lon":9.501785,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

38

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

39

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

40

Automated Demand Response Technologies and Demonstration in New York City using OpenADR  

E-Print Network (OSTI)

EMCS Vendor and Product Automated Logic Control RemoteBuildings Integrator, Automated Logic Corporation’s WebCTRLIntegrator (EBI), Automated Logic Corporation’s WebCTRL® ,

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "open automated demand" 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

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network (OSTI)

and Open Automated Demand Response. In Grid Interop Forum.Berkeley National Laboratory. Demand Response ResearchCenter, Demand Response Research Center PIER Team Briefing,

McKane, Aimee

2010-01-01T23:59:59.000Z

42

Automated Demand Response and Commissioning  

SciTech Connect

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

43

Automated Demand Response Opportunities in Wastewater Treatment Facilities  

E-Print Network (OSTI)

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

Thompson, Lisa

2008-01-01T23:59:59.000Z

44

Scenarios for Consuming Standardized Automated Demand Response Signals  

E-Print Network (OSTI)

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

Koch, Ed

2009-01-01T23:59:59.000Z

45

title Automated Price and Demand Response Demonstration for Large Customers  

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

Automated Price and Demand Response Demonstration for Large Customers Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR booktitle International Conference for Enhanced Building Operations ICEBO year month address Montreal Quebec abstract p class p1 Open Automated Demand Response OpenADR an XML based information exchange model is used to facilitate continuous price responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day ahead hourly pricing We summarize the existing demand response programs in New York and discuss OpenADR communication prioritization of demand response signals and control methods Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management

46

Automated Demand Response Opportunities in Wastewater Treatment Facilities  

SciTech Connect

Wastewater treatment is an energy intensive process which, together with water treatment, comprises about three percent of U.S. annual energy use. Yet, since wastewater treatment facilities are often peripheral to major electricity-using industries, they are frequently an overlooked area for automated demand response opportunities. Demand response is a set of actions taken to reduce electric loads when contingencies, such as emergencies or congestion, occur that threaten supply-demand balance, and/or market conditions occur that raise electric supply costs. Demand response programs are designed to improve the reliability of the electric grid and to lower the use of electricity during peak times to reduce the total system costs. Open automated demand response is a set of continuous, open communication signals and systems provided over the Internet to allow facilities to automate their demand response activities without the need for manual actions. Automated demand response strategies can be implemented as an enhanced use of upgraded equipment and facility control strategies installed as energy efficiency measures. Conversely, installation of controls to support automated demand response may result in improved energy efficiency through real-time access to operational data. This paper argues that the implementation of energy efficiency opportunities in wastewater treatment facilities creates a base for achieving successful demand reductions. This paper characterizes energy use and the state of demand response readiness in wastewater treatment facilities and outlines automated demand response opportunities.

Thompson, Lisa; Song, Katherine; Lekov, Alex; McKane, Aimee

2008-11-19T23:59:59.000Z

47

Distributed Automated Demand Response - Energy Innovation Portal  

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

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

48

Automated Demand Response Technologies and Demonstration in New York City  

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

Technologies and Demonstration in New York City Technologies and Demonstration in New York City using OpenADR Title Automated Demand Response Technologies and Demonstration in New York City using OpenADR Publication Type Report LBNL Report Number LBNL-6470E Year of Publication 2013 Authors Kim, Joyce Jihyun, Sila Kiliccote, and Rongxin Yin Date Published 09/2013 Publisher LBNL/NYSERDA Abstract Demand response (DR) - allowing customers to respond to reliability requests and market prices by changing electricity use from their normal consumption pattern - continues to be seen as an attractive means of demand-side management and a fundamental smart-grid improvement that links supply and demand. Since October 2011, the Demand Response Research Center at Lawrence Berkeley National Laboratory and New York State Energy Research and Development Authority have conducted a demonstration project enabling Automated Demand Response (Auto-DR) in large commercial buildings located in New York City using Open Automated Demand Response (OpenADR) communication protocols. In particular, this project focuses on demonstrating how OpenADR can automate and simplify interactions between buildings and various stakeholders in New York State including the independent system operator, utilities, retail energy providers, and curtailment service providers. In this paper, we present methods to automate control strategies via building management systems to provide event-driven demand response, price response and demand management based on OpenADR signals. We also present cost control opportunities under day-ahead hourly pricing for large customers and Auto-DR control strategies developed for demonstration buildings. Lastly, we discuss the communication architecture and Auto-DR system designed for the demonstration project to automate price response and DR participation.

49

Distributed Intelligent Automated Demand Response (DIADR) Building  

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

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,

50

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network (OSTI)

produce the greatest energy and demand savings. Aeration andand C.Y. Chang (2005). "Energy Demand in Sludge Dewatering."be modified to reduce energy demand during demand response

Lekov, Alex

2010-01-01T23:59:59.000Z

51

Direct versus Facility Centric Load Control for Automated Demand Response  

E-Print Network (OSTI)

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

Piette, Mary Ann

2010-01-01T23:59:59.000Z

52

Automated Demand Response Strategies and Commissioning Commercial Building Controls  

E-Print Network (OSTI)

4 9 . Piette et at Automated Demand Response Strategies andDynamic Controls for Demand Response in New and ExistingFully Automated Demand Response Tests in Large Facilities"

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

2006-01-01T23:59:59.000Z

53

LEED Demand Response Credit: A Plan for Research towards Implementation  

E-Print Network (OSTI)

C. McParland, Open Automated Demand Response Communicationsand Open Automated Demand Response", Grid Interop Forum,Testing of Automated Demand Response for Integration of

Kiliccote, Sila

2014-01-01T23:59:59.000Z

54

Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR  

E-Print Network (OSTI)

Center (DRRC) at LBNL and New York State Energy Research andfunded by the New York State Energy Research and Developmentenergy efficiency and demand response: Framework concepts and a new construction study case in New York.

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

55

Home Network Technologies and Automating Demand Response  

SciTech Connect

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

56

TY CONF T1 Automated Price and Demand Response Demonstration for Large Customers  

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

Automated Price and Demand Response Demonstration for Large Customers Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR T2 International Conference for Enhanced Building Operations ICEBO A1 Joyce Jihyun Kim A1 Rongxin Yin A1 Sila Kiliccote AB p class p1 Open Automated Demand Response OpenADR an XML based information exchange model is used to facilitate continuous price responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day ahead hourly pricing We summarize the existing demand response programs in New York and discuss OpenADR communication prioritization of demand response signals and control methods Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management

57

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

E-Print Network (OSTI)

AUTOMATION OF ENERGY DEMAND FORECASTING by Sanzad Siddique, B.S. A Thesis submitted to the Faculty OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S. Marquette University, 2013 Automation of energy demand of the energy demand forecasting are achieved by integrating nonlinear transformations within the models

Povinelli, Richard J.

58

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

59

Home Network Technologies and Automating Demand Response  

E-Print Network (OSTI)

potential role of home automation networks in implementinghow existing and future home automation systems may providehome networks" and "home automation" are frequently used

McParland, Charles

2010-01-01T23:59:59.000Z

60

Fast Automated Demand Response to Enable the Integration of Renewable  

E-Print Network (OSTI)

LBNL-5555E Fast Automated Demand Response to Enable the Integration of Renewable Resources David S The work described in this report was coordinated by the Demand Response Research Center and funded ABSTRACT This study examines how fast automated demand response (AutoDR) can help mitigate grid balancing

Note: This page contains sample records for the topic "open automated demand" 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

Automated Demand Response Benefits California Utilities and Commercial...  

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

. U.S. Department of Energy |September 2014 Automated Demand Response Benefits California Utilities and Commercial & Industrial Customers Page 1 Under the American Recovery and...

62

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

SciTech Connect

This report summarizes the Lawrence Berkeley National Laboratory's research to date in characterizing energy efficiency and open automated demand response opportunities for industrial refrigerated warehouses in California. The report describes refrigerated warehouses characteristics, energy use and demand, and control systems. It also discusses energy efficiency and open automated demand response opportunities and provides analysis results from three demand response studies. In addition, several energy efficiency, load management, and demand response case studies are provided for refrigerated warehouses. This study shows that refrigerated warehouses can be excellent candidates for open automated demand response and that facilities which have implemented energy efficiency measures and have centralized control systems are well-suited to shift or shed electrical loads in response to financial incentives, utility bill savings, and/or opportunities to enhance reliability of service. Control technologies installed for energy efficiency and load management purposes can often be adapted for open automated demand response (OpenADR) at little additional cost. These improved controls may prepare facilities to be more receptive to OpenADR due to both increased confidence in the opportunities for controlling energy cost/use and access to the real-time data.

Lekov, Alex; Thompson, Lisa; McKane, Aimee; Rockoff, Alexandra; Piette, Mary Ann

2009-05-11T23:59:59.000Z

63

Automated Demand Response Technology Demonstration Project for Small and  

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

Technology Demonstration Project for Small and Technology Demonstration Project for Small and Medium Commercial Buildings Title Automated Demand Response Technology Demonstration Project for Small and Medium Commercial Buildings Publication Type Report LBNL Report Number LBNL-4982E Year of Publication 2011 Authors Page, Janie, Sila Kiliccote, Junqiao Han Dudley, Mary Ann Piette, Albert K. Chiu, Bashar Kellow, Edward Koch, and Paul Lipkin Date Published 07/2011 Publisher CEC/LBNL Keywords demand response, emerging technologies, market sectors, medium commercial business, openadr, small commercial, small commercial business, technologies Abstract Small and medium commercial customers in California make up about 20-25% of electric peak load in California. With the roll out of smart meters to this customer group, which enable granular measurement of electricity consumption, the investor-owned utilities will offer dynamic prices as default tariffs by the end of 2011. Pacific Gas and Electric Company, which successfully deployed Automated Demand Response (AutoDR) Programs to its large commercial and industrial customers, started investigating the same infrastructures application to the small and medium commercial customers. This project aims to identify available technologies suitable for automating demand response for small-medium commercial buildings; to validate the extent to which that technology does what it claims to be able to do; and determine the extent to which customers find the technology useful for DR purpose. Ten sites, enabled by eight vendors, participated in at least four test AutoDR events per site in the summer of 2010. The results showed that while existing technology can reliably receive OpenADR signals and translate them into pre-programmed response strategies, it is likely that better levels of load sheds could be obtained than what is reported here if better understanding of the building systems were developed and the DR response strategies had been carefully designed and optimized for each site.

64

Opportunities for Open Automated Demand Response in Wastewater Treatment Facilities in California - Phase II Report. San Luis Rey Wastewater Treatment Plant Case Study  

E-Print Network (OSTI)

your Power. (2008). "Demand Response Programs." RetrievedTool Berkeley, CA, Demand Response Research Center.2008). "What is Demand Response?" Retrieved 10/10/2008, from

Thompson, Lisa

2010-01-01T23:59:59.000Z

65

Summary of the 2006 Automated Demand Response Pilot  

E-Print Network (OSTI)

This paper discusses the specific concept for, design of, and results from a pilot program to automate demand response with critical peak pricing. California utilities have been exploring the use of critical peak pricing (CPP) to help reduce peak...

Piette, M.; Kiliccote, S.

2007-01-01T23:59:59.000Z

66

Opportunities for Automated Demand Response in Wastewater Treatment  

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

Opportunities for Automated Demand Response in Wastewater Treatment Opportunities for Automated Demand Response in Wastewater Treatment Facilities in California - Southeast Water Pollution Control Plant Case Study Title Opportunities for Automated Demand Response in Wastewater Treatment Facilities in California - Southeast Water Pollution Control Plant Case Study Publication Type Report LBNL Report Number LBNL-6056E Year of Publication 2012 Authors Olsen, Daniel, Sasank Goli, David Faulkner, and Aimee T. McKane Date Published 12/2012 Publisher CEC/LBNL Keywords market sectors, technologies Abstract This report details a study into the demand response potential of a large wastewater treatment facility in San Francisco. Previous research had identified wastewater treatment facilities as good candidates for demand response and automated demand response, and this study was conducted to investigate facility attributes that are conducive to demand response or which hinder its implementation. One years' worth of operational data were collected from the facility's control system, submetered process equipment, utility electricity demand records, and governmental weather stations. These data were analyzed to determine factors which affected facility power demand and demand response capabilities.

67

Role of Standard Demand Response Signals for Advanced Automated Aggregation  

SciTech Connect

Emerging standards such as OpenADR enable Demand Response (DR) Resources to interact directly with Utilities and Independent System Operators to allow their facility automation equipment to respond to a variety of DR signals ranging from day ahead to real time ancillary services. In addition, there are Aggregators in today’s markets who are capable of bringing together collections of aggregated DR assets and selling them to the grid as a single resource. However, in most cases these aggregated resources are not automated and when they are, they typically use proprietary technologies. There is a need for a framework for dealing with aggregated resources that supports the following requirements: • Allows demand-side resources to participate in multiple DR markets ranging from wholesale ancillary services to retail tariffs without being completely committed to a single entity like an Aggregator; • Allow aggregated groups of demand-side resources to be formed in an ad hoc fashion to address specific grid-side issues and support the optimization of the collective response of an aggregated group along a number of different dimensions. This is important in order to taylor the aggregated performance envelope to the needs to of the grid; • Allow aggregated groups to be formed in a hierarchical fashion so that each group can participate in variety of markets from wholesale ancillary services to distribution level retail tariffs. This paper explores the issues of aggregated groups of DR resources as described above especially within the context of emerging smart grid standards and the role they will play in both the management and interaction of various grid-side entities with those resources.

Lawrence Berkeley National Laboratory; Kiliccote, Sila

2011-11-18T23:59:59.000Z

68

Findings from Seven Years of Field Performance Data for Automated Demand  

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

Seven Years of Field Performance Data for Automated Demand Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings Title Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings Publication Type Conference Paper LBNL Report Number LBNL-3643E Year of Publication 2010 Authors Kiliccote, Sila, Mary Ann Piette, Johanna L. Mathieu, and Kristen Parrish Conference Name 2010 ACEEE Summer Study on Energy Efficiency in Buildings Conference Location Pacific Grove, CA Keywords market sectors, openadr Abstract California is a leader in automating demand response (DR) to promote low-cost, consistent, and predictable electric grid management tools. Over 250 commercial and industrial facilities in California participate in fully-automated programs providing over 60 MW of peak DR savings. This paper presents a summary of Open Automated DR (OpenADR) implementation by each of the investor-owned utilities in California. It provides a summary of participation, DR strategies and incentives. Commercial buildings can reduce peak demand from 5 to 15% with an average of 13%. Industrial facilities shed much higher loads. For buildings with multi-year savings we evaluate their load variability and shed variability. We provide a summary of control strategies deployed, along with costs to install automation. We report on how the electric DR control strategies perform over many years of events. We benchmark the peak demand of this sample of buildings against their past baselines to understand the differences in building performance over the years. This is done with peak demand intensities and load factors. The paper also describes the importance of these data in helping to understand possible techniques to reach net zero energy using peak day dynamic control capabilities in commercial buildings. We present an example in which the electric load shape changed as a result of a lighting retrofit.

69

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network (OSTI)

Laboratory. Berkeley. Demand Response Research Center,and Automated Demand Response in Wastewater TreatmentLaboratory. Berkeley. Demand Response Research Center,

McKane, Aimee

2010-01-01T23:59:59.000Z

70

Demand Charges | Open Energy Information  

Open Energy Info (EERE)

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

71

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)

72

Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings  

SciTech Connect

California is a leader in automating demand response (DR) to promote low-cost, consistent, and predictable electric grid management tools. Over 250 commercial and industrial facilities in California participate in fully-automated programs providing over 60 MW of peak DR savings. This paper presents a summary of Open Automated DR (OpenADR) implementation by each of the investor-owned utilities in California. It provides a summary of participation, DR strategies and incentives. Commercial buildings can reduce peak demand from 5 to 15percent with an average of 13percent. Industrial facilities shed much higher loads. For buildings with multi-year savings we evaluate their load variability and shed variability. We provide a summary of control strategies deployed, along with costs to install automation. We report on how the electric DR control strategies perform over many years of events. We benchmark the peak demand of this sample of buildings against their past baselines to understand the differences in building performance over the years. This is done with peak demand intensities and load factors. The paper also describes the importance of these data in helping to understand possible techniques to reach net zero energy using peak day dynamic control capabilities in commercial buildings. We present an example in which the electric load shape changed as a result of a lighting retrofit.

Kiliccote, Sila; Piette, Mary Ann; Mathieu, Johanna; Parrish, Kristen

2010-05-14T23:59:59.000Z

73

Market and Policy Barriers for Demand Response Providing Ancillary Services in U.S. Markets  

E-Print Network (OSTI)

Wholesale Electricity Demand Response Program Comparison,J. (2009) Open Automated Demand Response Communicationsin Demand Response for Wholesale Ancillary Services.

Cappers, Peter

2014-01-01T23:59:59.000Z

74

building demand | OpenEI  

Open Energy Info (EERE)

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

75

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"

76

Intelligent Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response  

E-Print Network (OSTI)

Open  Automated  Demand  Response  Communications from  7 Years of Automated Demand Response in Commercial Management and Demand Response in Commercial  Buildings. , 

Piette, Mary Ann

2014-01-01T23:59:59.000Z

77

Energy Demand | Open Energy Information  

Open Energy Info (EERE)

Energy Demand Energy Demand Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data Figure 55 From AEO2011 report . Market Trends Growth in energy use is linked to population growth through increases in housing, commercial floorspace, transportation, and goods and services. These changes affect not only the level of energy use, but also the mix of fuels used. Energy consumption per capita declined from 337 million Btu in 2007 to 308 million Btu in 2009, the lowest level since 1967. In the AEO2011 Reference case, energy use per capita increases slightly through 2013, as the economy recovers from the 2008-2009 economic downturn. After 2013, energy use per capita declines by 0.3 percent per year on average, to 293 million Btu in 2035, as higher efficiency standards for vehicles and

78

TJ Automation | Open Energy Information  

Open Energy Info (EERE)

TJ Automation TJ Automation Jump to: navigation, search Name TJ Automation Facility TJ Automation Sector Wind energy Facility Type Small Scale Wind Facility Status In Service Owner TJ Automation Energy Purchaser TJ Automation Location Archbold OH Coordinates 41.45823855°, -84.30666804° 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":41.45823855,"lon":-84.30666804,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

79

An Open Architecture Platform for Demand Resources from AutoDR and MBCx:  

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

An Open Architecture Platform for Demand Resources from AutoDR and MBCx: An Open Architecture Platform for Demand Resources from AutoDR and MBCx: National Virtual Power Plant Speaker(s): Jung In Choi Date: December 20, 2013 - 2:00pm - 3:00pm Location: 90-3122 Seminar Host/Point of Contact: Philip Haves The presentation lays out the technology and business model for National Virtual Power Plant (NVPP). NAPP is a Korean initiative to develop a cluster of demand resources from consumers by peak reduction or energy saving. Demand resources from NVPP are collectively traded in the open architecture platform for energy market. The platform enables 3rd parties to develop new business models and applications through open API s. It will bring a long tail market for demand response and energy efficiency in small and medium size buildings as well as large ones. Automated Demand

80

Findings from the 2004 Fully Automated Demand Response Tests in Large  

E-Print Network (OSTI)

LBNL-58178 Findings from the 2004 Fully Automated Demand Response Tests in Large Facilities M;Findings from the 2004 Fully Automated Demand Response Tests in Large Facilities September 7, 2005 Mary Ann Manager Dave Michel Contract 500-03-026 Sponsored by the California Energy Commission PIER Demand Response

Note: This page contains sample records for the topic "open automated demand" 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

Automated Demand Response: The Missing Link in the Electricity Value Chain  

SciTech Connect

In 2006, the Public Interest Energy Research Program (PIER) Demand Response Research Center (DRRC) at Lawrence Berkeley National Laboratory initiated research into Automated Demand Response (OpenADR) applications in California industry. The goal is to improve electric grid reliability and lower electricity use during periods of peak demand. The purpose of this research is to begin to define the relationship among a portfolio of actions that industrial facilities can undertake relative to their electricity use. This ?electricity value chain? defines energy management and demand response (DR) at six levels of service, distinguished by the magnitude, type, and rapidity of response. One element in the electricity supply chain is OpenADR, an open-standards based communications system to send signals to customers to allow them to manage their electric demand in response to supply conditions, such as prices or reliability, through a set of standard, open communications. Initial DRRC research suggests that industrial facilities that have undertaken energy efficiency measures are probably more, not less, likely to initiate other actions within this value chain such as daily load management and demand response. Moreover, OpenADR appears to afford some facilities the opportunity to develop the supporting control structure and to"demo" potential reductions in energy use that can later be applied to either more effective load management or a permanent reduction in use via energy efficiency. Under the right conditions, some types of industrial facilities can shift or shed loads, without any, or minimal disruption to operations, to protect their energy supply reliability and to take advantage of financial incentives.1 In 2007 and 2008, 35 industrial facilities agreed to implement OpenADR, representing a total capacity of nearly 40 MW. This paper describes how integrated or centralized demand management and system-level network controls are linked to OpenADR systems. Case studies of refrigerated warehouses and wastewater treatment facilities are used to illustrate OpenADR load reduction potential. Typical shed and shift strategies include: turning off or operating compressors, aerator blowers and pumps at reduced capacity, increasing temperature set-points or pre-cooling cold storage areas and over-oxygenating stored wastewater prior to a DR event. This study concludes that understanding industrial end-use processes and control capabilities is a key to support reduced service during DR events and these capabilities, if DR enabled, hold significant promise in reducing the electricity demand of the industrial sector during utility peak periods.

McKane, Aimee; Rhyne, Ivin; Lekov, Alex; Thompson, Lisa; Piette, MaryAnn

2009-08-01T23:59:59.000Z

82

Solar Automation Inc | Open Energy Information  

Open Energy Info (EERE)

Inc Inc Jump to: navigation, search Name Solar Automation Inc Place Albuquerque, New Mexico Zip NM 8110 Product Produces manufacturing equipment for PV cells. References Solar Automation Inc[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Solar Automation Inc is a company located in Albuquerque, New Mexico . References ↑ "Solar Automation Inc" Retrieved from "http://en.openei.org/w/index.php?title=Solar_Automation_Inc&oldid=351247" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties About us Disclaimers Energy blogs Linked Data Developer services

83

Demand Response Opportunities in Industrial Refrigerated Warehouses in California  

E-Print Network (OSTI)

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

Goli, Sasank

2012-01-01T23:59:59.000Z

84

Definition: Automated Distribution Circuit Switches | Open Energy  

Open Energy Info (EERE)

Circuit Switches Circuit Switches Jump to: navigation, search Dictionary.png Automated Distribution Circuit Switches Distribution circuit switches that can be operated automatically in response to control signals from local sensors, distribution automation systems, or grid control systems. Such switches can be installed as automated devices or existing equipment can be retrofitted with controls and communications. The degree of automation depends on the controls and communications system implemented. These switches can be opened or closed to isolate portions of a distribution circuit that has experienced a short circuit (fault), or must be taken out of service for maintenance or other operations. When used in combination, these switches can reroute power from other substations or nearby distribution circuits.[1]

85

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

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

Honeywell’s Smart Grid Investment Grant (SGIG) project demonstrates utility-scale performance of a hardware/software platform for automated demand response (ADR) for utility, commercial, and industrial customers. The case study is now available for downloading.

86

FEMP Presents Its Newest On-Demand eTraining Course on Building Automation Systems  

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

The U.S. Department of Energy (DOE) Federal Energy Management Program (FEMP) has launched its latest eTraining Course, Building Automation Systems for Existing Federal Facilities for no-cost, on-demand access.

87

An Automation System for Optimizing a Supply Chain Network Design under the Influence of Demand Uncertainty  

E-Print Network (OSTI)

Automation . . . . . . . . . . . . . . . . . . . . . . iii 3Automation . . . . . . . . . . . . . . . . . . . . . . 5Dashboard/Cockpit Automation . . . . . . . . . . . . .

Polany, Rany

2012-01-01T23:59:59.000Z

88

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

E-Print Network (OSTI)

2008. Estimating Demand Response Load Impacts: Evaluation ofK. C. Mares, and D. Shroyer. 2010. Demand Response andOpen Automated Demand Response Opportunities for Data

Ghatikar, Girish

2014-01-01T23:59:59.000Z

89

Definition: Peak Demand | Open Energy Information  

Open Energy Info (EERE)

Peak Demand Peak Demand Jump to: navigation, search Dictionary.png Peak Demand The highest hourly integrated Net Energy For Load within a Balancing Authority Area occurring within a given period (e.g., day, month, season, or year)., The highest instantaneous demand within the Balancing Authority Area.[1] View on Wikipedia Wikipedia Definition Peak demand is used to refer to a historically high point in the sales record of a particular product. In terms of energy use, peak demand describes a period of strong consumer demand. Related Terms Balancing Authority Area, energy, demand, balancing authority, smart grid References ↑ Glossary of Terms Used in Reliability Standards An inli LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ne Glossary Definition Retrieved from

90

Findings from the 2004 Fully Automated Demand Response Tests in Large  

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

the 2004 Fully Automated Demand Response Tests in Large the 2004 Fully Automated Demand Response Tests in Large Facilities Title Findings from the 2004 Fully Automated Demand Response Tests in Large Facilities Publication Type Report LBNL Report Number LBNL-58178 Year of Publication 2005 Authors Piette, Mary Ann, David S. Watson, Naoya Motegi, and Norman Bourassa Date Published 10/18/2005 Keywords market sectors, technologies Abstract This report describes the results of 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 time dependant activities that reduce or shift electricity use to improve electric grid reliability, manage electricity costs, and provide systems that encourage load shifting or shedding during times when the electric grid is near its capacity or electric prices are high. Demand Response is a subset of demand side management, which also includes energy efficiency and conservation. The overall goal of this research project was to support increased penetration of DR in large facilities through the use of automation and better understanding of DR technologies and strategies in large facilities. To achieve this goal, a set of field tests were designed and conducted. These tests examined the performance of Auto-DR systems that covered a diverse set of building systems, ownership and management structures, climate zones, weather patterns, and control and communication configurations.

91

home automation | OpenEI Community  

Open Energy Info (EERE)

91 91 Varnish cache server Home Groups Community Central Green Button Applications Developer Utility Rate FRED: FRee Energy Database More Public Groups Private Groups Features Groups Blog posts Content Stream Documents Discussions Polls Q & A Events Notices My stuff Energy blogs 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142285591 Varnish cache server home automation Home Graham7781's picture Submitted by Graham7781(2002) Super contributor 23 January, 2013 - 13:57 The Consumer Electronics Show round-up CES electronics home automation Las Vegas OpenEI Smart Grid Every January, Las Vegas hosts the Consumer Electronics Show. The CES is the world's largest technology-related trade show. The highlights of this year's show were OLED TVs, ultra-thin laptops,

92

Automated demand response applied to a set of commercial facilities.  

E-Print Network (OSTI)

?? Commercial facility demand response refers to voluntary actions by customers that change their consumption of electric power in response to price signals, incentives, or… (more)

Lincoln, Donald F.

2010-01-01T23:59:59.000Z

93

Automated demand response applied to a set of commercial buildings.  

E-Print Network (OSTI)

??Commercial facility demand response refers to voluntary actions by customers that change their consumption of electric power in response to price signals, incentives, or directions… (more)

Lincoln, Donald

2010-01-01T23:59:59.000Z

94

Definition: Demand Side Management | Open Energy Information  

Open Energy Info (EERE)

Side Management Side Management Jump to: navigation, search Dictionary.png Demand Side Management The term for all activities or programs undertaken by Load-Serving Entity or its customers to influence the amount or timing of electricity they use.[1] View on Wikipedia Wikipedia Definition Energy demand management, also known as demand side management (DSM), is the modification of consumer demand for energy through various methods such as financial incentives and education. Usually, the goal of demand side management is to encourage the consumer to use less energy during peak hours, or to move the time of energy use to off-peak times such as nighttime and weekends. Peak demand management does not necessarily decrease total energy consumption, but could be expected to reduce the need

95

Transportation Demand Management (TDM) Encyclopedia | Open Energy  

Open Energy Info (EERE)

Transportation Demand Management (TDM) Encyclopedia Transportation Demand Management (TDM) Encyclopedia Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Transportation Demand Management (TDM) Encyclopedia Agency/Company /Organization: Victoria Transport Policy Institute Sector: Energy Focus Area: Transportation Topics: Implementation Resource Type: Guide/manual Website: www.vtpi.org/tdm/tdm12.htm Cost: Free Language: English References: Victoria Transport Policy Institute[1] "The Online TDM Encyclopedia is the world's most comprehensive information resource concerning innovative transportation management strategies. It describes dozens of Transportation Demand Management (TDM) strategies and contains information on TDM planning, evaluation and implementation. It has thousands of hyperlinks that provide instant access

96

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":""}]}

97

Intelligent Building Automation: A Demand Response Management Perspective  

E-Print Network (OSTI)

? Would it be more effective if the consumer were to be part of the efficiency process? What about if the energy savings could be passed on to the consumer directly depending on how efficient he was? Demand response is a mechanism by which consumers change...

Qazi, T.

2010-01-01T23:59:59.000Z

98

Demand Management Institute (DMI) | Open Energy Information  

Open Energy Info (EERE)

Demand Management Institute (DMI) Demand Management Institute (DMI) Jump to: navigation, search Name Demand Management Institute (DMI) Address 35 Walnut Street Place Wellesley, Massachusetts Zip 02481 Sector Buildings Product Provides analysis for buildings on reducing energy use Website http://www.dmiinc.com/ Coordinates 42.3256508°, -71.2530294° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.3256508,"lon":-71.2530294,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

99

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

100

Definition: Distribution Automation Communications Network | Open Energy  

Open Energy Info (EERE)

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

Note: This page contains sample records for the topic "open automated demand" 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

Definition: Distribution Automation | Open Energy Information  

Open Energy Info (EERE)

Automation Automation Jump to: navigation, search Dictionary.png Distribution Automation DA is a family of technologies including sensors, processors, communication networks, and switches that can perform a number of distribution system functions depending on how they are implemented. Over the last 20 years, utilities have been applying DA to improve reliability, service quality and operational efficiency. More recently, DA is being applied to perform automatic switching, reactive power compensation coordination, or other feeder operations/control.[1] Related Terms sustainability, smart grid References ↑ https://www.smartgrid.gov/category/technology/distribution_automation [[Ca LikeLike UnlikeLike You and one other like this.One person likes this. Sign Up to see what your friends like.

102

Mirle Automation Corporation | Open Energy Information  

Open Energy Info (EERE)

Mirle Automation Corporation Mirle Automation Corporation Jump to: navigation, search Name Mirle Automation Corporation Place Hsinchu, Taiwan Zip 30077 Sector Solar Product A Taiwan-based automation system integrators and related product manufacturers who have entered thin film solar cell manufacturing equipment business. Coordinates 24.69389°, 121.148064° 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":24.69389,"lon":121.148064,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

103

Definition: Automated Capacitors | Open Energy Information  

Open Energy Info (EERE)

Capacitors Capacitors Jump to: navigation, search Dictionary.png Automated Capacitors Capacitors can increase the voltage on a distribution circuit by providing reactive power (often referred to as volt-amperes-reactive or VArs). Capacitor banks are switched in discrete steps, either manually, or in response to the voltage at the location where they are connected; typically, distribution capacitor banks are switched in a single step. If the voltage falls too far below the set point, the capacitor is switched in to raise the voltage. If the voltage rises too high above the set point, the capacitor is switched out to lower the voltage. Automated capacitors can be switched in coordination with other voltage control devices with signals from local sensors, distribution automation systems, or grid

104

AIS Automation Dresden | Open Energy Information  

Open Energy Info (EERE)

AIS Automation Dresden AIS Automation Dresden Jump to: navigation, search Name AIS Automation Dresden Place Dresden, Germany Zip D-01237 Product Provides software for industrial process control for the semiconductor and photovoltaic industries. Coordinates 51.053645°, 13.740815° 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":51.053645,"lon":13.740815,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

105

Definition: Automated Voltage Regulators | Open Energy Information  

Open Energy Info (EERE)

Regulators Regulators Jump to: navigation, search Dictionary.png Automated Voltage Regulators Voltage regulators are transformers that can increase or decrease the voltage on a distribution circuit to help keep the voltage within a pre-determined band. Unlike capacitor banks, voltage regulators cannot adjust power factor. These devices typically monitor the voltage at the location where they are connected, and compare it to a programmed set point. If the voltage deviates too far from the set point, the voltage regulator can increase or decrease its output voltage by moving the tap on the secondary side up or down. An automated voltage regulator can operate with remote control signals, or in concert with other area voltage control devices, to help regulate distribution voltage in a coordinated fashion.

106

Energy Automation Systems Inc | Open Energy Information  

Open Energy Info (EERE)

Energy Automation Systems Inc Energy Automation Systems Inc Jump to: navigation, search Name Energy Automation Systems Inc. Place Hendersonville, Tennessee Zip 37075 Sector Buildings, Efficiency Product An energy efficiency consultancy firm focusing on analysis of energy consumption in buildings and providing improvments in the efficiency of the distribution system and equipment loads, similar to an ESCO. Coordinates 36.304861°, -86.620214° 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":36.304861,"lon":-86.620214,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

107

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

with hydro power and wind integration, more DR may be neededload growth, wind power integration, and fish operations are

Kiliccote, Sila

2010-01-01T23:59:59.000Z

108

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

Center for the Study of Energy Markets Paper CSEMWP-105.OASIS SDO. 2010b. “Energy Market Information Exchange (eMIX)charges. • Wholesale energy market prices are volatile, and

Ghatikar, Girish

2010-01-01T23:59:59.000Z

109

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

meters are required for measurement and verification of DRare required for measurement and verification of DR

Kiliccote, Sila

2010-01-01T23:59:59.000Z

110

Open Automated Demand Response for Small Commerical Buildings  

E-Print Network (OSTI)

Power Systems) Cannon & Honeywell together for smart rd  party vendors such as  Honeywell.   Mostly a remote web of wireless  connections.   Honeywell Honeywell has many

Dudley, June Han

2009-01-01T23:59:59.000Z

111

Open Automated Demand Response Communications Specification (Version 1.0)  

E-Print Network (OSTI)

It includes the following:  Load reduction bids per time It includes the following:  Load reduction bids per time It includes the following:  Load reduction bids per time 

Piette, Mary Ann

2009-01-01T23:59:59.000Z

112

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

Power Administration (BPA) in the Seattle City Light (SCL)times of the year. The project was funded by BPA and SCL.BPA is a U.S. Department of Energy agency headquartered in

Kiliccote, Sila

2010-01-01T23:59:59.000Z

113

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

Bonneville Power Administration (BPA) in Seattle City Light’project was funded by BPA and SCL. This report summarizesPower Administration (BPA) and Seattle City Light (SCL) DR

Kiliccote, Sila

2010-01-01T23:59:59.000Z

114

Open Automated Demand Response for Small Commerical Buildings  

E-Print Network (OSTI)

tonnage is due to air?source  heat pumps (Table 4).    Baseboard heater Air-source Heat Pump Ground-Source Heat

Dudley, June Han

2009-01-01T23:59:59.000Z

115

Open Automated Demand Response for Small Commerical Buildings  

E-Print Network (OSTI)

Package unit Constant volume Variable frequency drive (VFD)Constant volume Variable frequency drive (VFD)Constant volume Variable frequency drive (VFD) Constant

Dudley, June Han

2009-01-01T23:59:59.000Z

116

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

Air Volume VFD – Variable Frequency Drive XML – Extensiblepressure reset, variable frequency drive (VFD) position

Kiliccote, Sila

2010-01-01T23:59:59.000Z

117

Manz Automation AG | Open Energy Information  

Open Energy Info (EERE)

AG AG Jump to: navigation, search Name Manz Automation AG Place Reutlingen, Baden-Württemberg, Germany Zip D-72768 Sector Solar Product German manufacturer of solar and LCD capital equipment. Coordinates 48.49159°, 9.21487° 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":48.49159,"lon":9.21487,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

118

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

E-Print Network (OSTI)

in significant energy and demand savings for refrigeratedbe modified to reduce energy demand during demand responsein refrigerated warehouse energy demand if they are not

Lekov, Alex

2009-01-01T23:59:59.000Z

119

Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings  

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

3E 3E Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings S. Kiliccote, M.A. Piette, J. Mathieu, K. Parrish Environmental Energy Technologies Division May 2010 Presented at the 2010 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 15-20, 2010, and published in the Proceedings DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information,

120

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

Note: This page contains sample records for the topic "open automated demand" 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

Automated Demand Response Technology Demonstration Project for Small and Medium Commercial Buildings  

E-Print Network (OSTI)

2010 Assessment of Demand Response and  Advanced Metering:  Development for Demand Response  Calculation ? Findings and Energy  Efficiency and  Demand Response with Communicating 

Page, Janie

2012-01-01T23:59:59.000Z

122

The OpenSTORM Project: A Proposal for an Open Simulation Tool for Robotics, Automation, and Manufacturing  

E-Print Network (OSTI)

The OpenSTORM Project: A Proposal for an Open Simulation Tool for Robotics, Automation Models for Locomotion and Manipulation, and the upcoming IEEE Conference on Automation Sci- ence by improving our rapid-prototyping and system verification capabilities. Our view is that a single simulation

O'Brien, James F.

123

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network (OSTI)

Measurement and Verification.5.2.2. Performance Measurement and Verification Data centerfor performance measurement and verification within PG&E.

Mares, K.C.

2010-01-01T23:59:59.000Z

124

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network (OSTI)

18 3.3.1. Flat load DataFlat and Incremental Load" data centers, plus office spaceentire year. 3.3.1. Flat load Data Centers Figures 3 and 4

Mares, K.C.

2010-01-01T23:59:59.000Z

125

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

E-Print Network (OSTI)

shows how the actual load profile follows the hourly bidscriteria were as follows: Low load variability – enhancesloads, the actual loads do not closely follow the forecasted

Kiliccote, Sila

2010-01-01T23:59:59.000Z

126

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network (OSTI)

Data center site infrastructure loads (cooling, lighting, powerand Load Characterization, describes power sources in more detail. DataPower Delivery Systems, and Lighting Technologies As described in Section 3.0, Energy Use and Load Characterization, IT equipment is the primary data

Mares, K.C.

2010-01-01T23:59:59.000Z

127

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network (OSTI)

with intermittent energy resources (such as wind/solar),intermittent energy resources (for example, wind/solar). The

Mares, K.C.

2010-01-01T23:59:59.000Z

128

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network (OSTI)

or air-side economizers can be used in some data centers toair-cooled chillers and might have a water-side economizer. Few data centersdata center DR strategies using case studies and technologies for water or air-side economizers,

Mares, K.C.

2010-01-01T23:59:59.000Z

129

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network (OSTI)

the number and nature of power and cooling distribution andservices such as power and cooling. Even though theirby the facility’s power, cooling, and lighting systems,

Mares, K.C.

2010-01-01T23:59:59.000Z

130

Automated Demand Response Approaches to Household Energy Management in a Smart Grid Environment.  

E-Print Network (OSTI)

??The advancement of renewable energy technologies and the deregulation of theelectricity market have seen the emergence of Demand response (DR) programs. Demand response is a… (more)

Adika, Christopher Otieno

2014-01-01T23:59:59.000Z

131

Estimating Demand Response Market Potential | Open Energy Information  

Open Energy Info (EERE)

Estimating Demand Response Market Potential Estimating Demand Response Market Potential Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Estimating Demand Response Market Potential Focus Area: Energy Efficiency, - Utility Topics: Socio-Economic Website: www.ieadsm.org/Files/Tasks/Task%20XIII%20-%20Demand%20Response%20Resou Equivalent URI: cleanenergysolutions.org/content/estimating-demand-response-market-pot Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: Resource Integration Planning This resource presents demand response (DR) potential results from top-performing programs in the United States and Canada, as well as a DR

132

Network-Driven Demand Side Management Website | Open Energy Informatio...  

Open Energy Info (EERE)

UtilityElectricity Service Costs) for this property. This task of the International Energy Agency is a broad, systematic examination of the potential for demand-side...

133

Hydrogen Demand and Resource Assessment Tool | Open Energy Information  

Open Energy Info (EERE)

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

134

Definition: Interruptible Load Or Interruptible Demand | Open Energy  

Open Energy Info (EERE)

Interruptible Load Or Interruptible Demand Interruptible Load Or Interruptible Demand Jump to: navigation, search Dictionary.png Interruptible Load Or Interruptible Demand Demand that the end-use customer makes available to its Load-Serving Entity via contract or agreement for curtailment.[1] View on Wikipedia Wikipedia Definition View on Reegle Reegle Definition No reegle definition available. Also Known As non-firm service Related Terms transmission lines, electricity generation, transmission line, firm transmission service, smart grid References ↑ Glossary of Terms Used in Reliability Standards An inli LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ne Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Interruptible_Load_Or_Interruptible_Demand&oldid=502615"

135

ranking of utilities by demand charge? | OpenEI Community  

Open Energy Info (EERE)

ranking of utilities by demand charge? ranking of utilities by demand charge? Home > Groups > Utility Rate Sorry..simple question because i am a bit dumb. How do I download the utility rate data in CSV so i can sort by demand charge? Or can i sort by demand charge in the API? New to this API stuff. Many thanks/ Submitted by Apin101 on 26 November, 2013 - 07:12 1 answer Points: 0 There is currently no way to sort the responses, but since you are downloading in a CSV format you can sort most responses in Excel (or a spreadsheet editor). Another option is to run direct Ask queries and specify a property to sort on (see massive URL below). To do any sorting on an element of a packed array like DemandWeekdaySchedule would require custom logic in the result spreadsheet, or custom scripting of some kind. The new utility rate custom

136

ranking of utilities by demand charge? | OpenEI Community  

Open Energy Info (EERE)

ranking of utilities by demand charge? ranking of utilities by demand charge? Home > Groups > Utility Rate Sorry..simple question because i am a bit dumb. How do I download the utility rate data in CSV so i can sort by demand charge? Or can i sort by demand charge in the API? New to this API stuff. Many thanks/ Submitted by Apin101 on 26 November, 2013 - 07:12 1 answer Points: 0 There is currently no way to sort the responses, but since you are downloading in a CSV format you can sort most responses in Excel (or a spreadsheet editor). Another option is to run direct Ask queries and specify a property to sort on (see massive URL below). To do any sorting on an element of a packed array like DemandWeekdaySchedule would require custom logic in the result spreadsheet, or custom scripting of some kind. The new utility rate custom

137

Assisting Mexico in Developing Energy Supply and Demand Projections | Open  

Open Energy Info (EERE)

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

138

Automation of Capacity Bidding with an Aggregator Using Open Automated Demand Response  

E-Print Network (OSTI)

Company   Service Oriented Architecture  Secure Socket based Web Service Oriented Architecture (SOA) for  platform?

Kiliccote, Sila

2011-01-01T23:59:59.000Z

139

Field Testing of Automated Demand Response for Integration of Renewable Resources in California's Ancillary Services Market for Regulation Products  

E-Print Network (OSTI)

Controls ° Larry Bacher, Automated Logic Corporation ° Louiscontrolled from a central Automated Logic Corporation energy

Kiliccote, Sila

2013-01-01T23:59:59.000Z

140

Property:OpenEI/UtilityRate/DemandRateStructure/Tier6Adjustment | Open  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:OpenEI/UtilityRate/DemandRateStructure/Tier6Adjustment Jump to: navigation, search This is a property of type Number. Pages using the property "OpenEI/UtilityRate/DemandRateStructure/Tier6Adjustment" Showing 13 pages using this property. 4 4b524791-bef2-49b1-850b-458730755203 + 8 + 4b524791-bef2-49b1-850b-458730755203 + 8 +, 9 +, 67 +, ... 4b524791-bef2-49b1-850b-458730755203 + 9 + 4b524791-bef2-49b1-850b-458730755203 + 2 + 4b524791-bef2-49b1-850b-458730755203 + 67 + 4b524791-bef2-49b1-850b-458730755203 + 2 + 4b524791-bef2-49b1-850b-458730755203 + 89 + 4b524791-bef2-49b1-850b-458730755203 + 3 + 4b524791-bef2-49b1-850b-458730755203 + 3 + 4b524791-bef2-49b1-850b-458730755203 + 3 +

Note: This page contains sample records for the topic "open automated demand" 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

Managing water demand as a regulated open MAS. (Work in progress)  

E-Print Network (OSTI)

1 Managing water demand as a regulated open MAS. (Work in progress) Vicente Botti1 , Antonio Scientific Research Council, {vbotti,agarridot,agiret}@dsic.upv.es, pablo@iiia.csic.es I. WATER MANAGEMENT management models are based on equa- tional descriptions of aggregate supply and demand in a water basin [2

Garrido, Antonio

142

Managing water demand as a regulated open MAS. (Work in progress)  

E-Print Network (OSTI)

1 Managing water demand as a regulated open MAS. (Work in progress) Vicente Botti 1 , Antonio Scientific Research Council, {vbotti,agarridot,agiret}@dsic.upv.es, pablo@iiia.csic.es I. WATER MANAGEMENT management models are based on equa­ tional descriptions of aggregate supply and demand in a water basin [2

Garrido, Antonio

143

EnergySolve Demand Response | Open Energy Information  

Open Energy Info (EERE)

EnergySolve Demand Response EnergySolve Demand Response Jump to: navigation, search Name EnergySolve Demand Response Place Somerset, New Jersey Product Somerset-based utility bill outsourcing company that provides electronic utility bill auditing, tariff analysis, late fee avoidance, and flexible bill payment solutions. Coordinates 45.12402°, -92.675379° 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":45.12402,"lon":-92.675379,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

144

ADB-Methods and Tools for Energy Demand Projection | Open Energy  

Open Energy Info (EERE)

ADB-Methods and Tools for Energy Demand Projection ADB-Methods and Tools for Energy Demand Projection Jump to: navigation, search Tool Summary Name: Methods and Tools for Energy Demand Projection Agency/Company /Organization: Asian Development Bank Sector: Energy Topics: Pathways analysis Resource Type: Presentation, Software/modeling tools Website: cdm-mongolia.com/files/2_Methods_Hoseok_16May2010.pdf Cost: Free Methods and Tools for Energy Demand Projection Screenshot References: Methods and Tools for Energy Demand Projection[1] This article is a stub. You can help OpenEI by expanding it. References ↑ "Methods and Tools for Energy Demand Projection" Retrieved from "http://en.openei.org/w/index.php?title=ADB-Methods_and_Tools_for_Energy_Demand_Projection&oldid=398945" Categories:

145

Demand Response Energy Consulting LLC | Open Energy Information  

Open Energy Info (EERE)

Response Energy Consulting LLC Response Energy Consulting LLC Jump to: navigation, search Name Demand Response & Energy Consulting LLC Place Delanson, New York Zip NY 12053 Sector Efficiency Product Delanson-based demand response and energy efficiency consultants. Coordinates 42.748995°, -74.185794° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.748995,"lon":-74.185794,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

146

Changes in worldwide demand for metals (final). Open File report  

SciTech Connect

Worldwide demand for metals was analyzed to identify the important factors that explain differences in the level of demand among world countries. The per capita demand for steel, aluminum, copper, and total nonferrous metals was investigated for 40 to 50 countries over a 22-year period. These countries have been further grouped into four world regions for purposes of making generalizations about the importance of these factors for countries in different stages of development and with dissimilar levels of per capita gross domestic product (GDP). Intercountry and intertemporal differences are explained largely by differences in per capita GDP and changes over time in per capita GDP, oil real prices, and to a lesser extent, metal real prices. The trend in world consumption is dramatically different in the last decade than the previous one. In 1962-73, per capita consumption increased in all areas and consumption intensity (consumption divided by (GDP) increased in most areas). In 1973-84, per capita consumption fell in most areas and intensity fell dramatically, except in developing nations.

Faucett, J.G.; Chmelynski, H.J.

1986-08-01T23:59:59.000Z

147

Property:OpenEI/UtilityRate/FlatDemandMonth8 | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:OpenEI/UtilityRate/FlatDemandMonth8 Jump to: navigation, search This is a property of type Number. The allowed values for this property are: 1 2 3 4 5 6 7 8 9 Pages using the property "OpenEI/UtilityRate/FlatDemandMonth8" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 1 + 000e60f7-120d-48ab-a1f9-9c195329c628 + 1 + 00101108-073b-4503-9cd4-01769611c26f + 1 + 001361ca-50d2-49bc-b331-08755a2c7c7d + 1 + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 1 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 1 + 001d1952-955c-411b-8ce4-3d146852a75e + 1 + 001ea8be-7a59-4bcb-a923-e8f1015946ee + 1 + 001eaca9-6ce7-4c0f-8578-44fc29654e97 + 1 + 0022e9a5-942c-4e97-94d7-600f5d315ce8 + 1 +

148

Property:OpenEI/UtilityRate/FlatDemandMonth2 | Open Energy Information  

Open Energy Info (EERE)

FlatDemandMonth2 FlatDemandMonth2 Jump to: navigation, search This is a property of type Number. The allowed values for this property are: 1 2 3 4 5 6 7 8 9 Pages using the property "OpenEI/UtilityRate/FlatDemandMonth2" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 1 + 000e60f7-120d-48ab-a1f9-9c195329c628 + 1 + 00101108-073b-4503-9cd4-01769611c26f + 1 + 001361ca-50d2-49bc-b331-08755a2c7c7d + 1 + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 1 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 1 + 001d1952-955c-411b-8ce4-3d146852a75e + 1 + 001ea8be-7a59-4bcb-a923-e8f1015946ee + 1 + 001eaca9-6ce7-4c0f-8578-44fc29654e97 + 1 + 0022e9a5-942c-4e97-94d7-600f5d315ce8 + 1 + 002661b8-2e71-48b8-b657-44ff7372f757 + 1 + 0026b4d3-dd02-4423-95e1-56430d887b28 + 2 +

149

Property:OpenEI/UtilityRate/FlatDemandMonth4 | Open Energy Information  

Open Energy Info (EERE)

FlatDemandMonth4 FlatDemandMonth4 Jump to: navigation, search This is a property of type Number. The allowed values for this property are: 1 2 3 4 5 6 7 8 9 Pages using the property "OpenEI/UtilityRate/FlatDemandMonth4" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 1 + 000e60f7-120d-48ab-a1f9-9c195329c628 + 1 + 00101108-073b-4503-9cd4-01769611c26f + 1 + 001361ca-50d2-49bc-b331-08755a2c7c7d + 1 + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 1 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 1 + 001d1952-955c-411b-8ce4-3d146852a75e + 1 + 001ea8be-7a59-4bcb-a923-e8f1015946ee + 1 + 001eaca9-6ce7-4c0f-8578-44fc29654e97 + 1 + 0022e9a5-942c-4e97-94d7-600f5d315ce8 + 1 + 002661b8-2e71-48b8-b657-44ff7372f757 + 1 + 0026b4d3-dd02-4423-95e1-56430d887b28 + 2 +

150

Property:OpenEI/UtilityRate/FlatDemandMonth7 | Open Energy Information  

Open Energy Info (EERE)

FlatDemandMonth7 FlatDemandMonth7 Jump to: navigation, search This is a property of type Number. The allowed values for this property are: 1 2 3 4 5 6 7 8 9 Pages using the property "OpenEI/UtilityRate/FlatDemandMonth7" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 1 + 000e60f7-120d-48ab-a1f9-9c195329c628 + 1 + 00101108-073b-4503-9cd4-01769611c26f + 1 + 001361ca-50d2-49bc-b331-08755a2c7c7d + 1 + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 1 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 1 + 001d1952-955c-411b-8ce4-3d146852a75e + 1 + 001ea8be-7a59-4bcb-a923-e8f1015946ee + 1 + 001eaca9-6ce7-4c0f-8578-44fc29654e97 + 1 + 0022e9a5-942c-4e97-94d7-600f5d315ce8 + 1 + 002661b8-2e71-48b8-b657-44ff7372f757 + 1 + 0026b4d3-dd02-4423-95e1-56430d887b28 + 1 +

151

Property:OpenEI/UtilityRate/FlatDemandMonth1 | Open Energy Information  

Open Energy Info (EERE)

FlatDemandMonth1 FlatDemandMonth1 Jump to: navigation, search This is a property of type Number. The allowed values for this property are: 1 2 3 4 5 6 7 8 9 Pages using the property "OpenEI/UtilityRate/FlatDemandMonth1" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 1 + 000e60f7-120d-48ab-a1f9-9c195329c628 + 1 + 00101108-073b-4503-9cd4-01769611c26f + 1 + 001361ca-50d2-49bc-b331-08755a2c7c7d + 1 + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 1 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 1 + 001d1952-955c-411b-8ce4-3d146852a75e + 1 + 001ea8be-7a59-4bcb-a923-e8f1015946ee + 1 + 001eaca9-6ce7-4c0f-8578-44fc29654e97 + 1 + 0022e9a5-942c-4e97-94d7-600f5d315ce8 + 1 + 002661b8-2e71-48b8-b657-44ff7372f757 + 1 + 0026b4d3-dd02-4423-95e1-56430d887b28 + 2 +

152

Property:OpenEI/UtilityRate/FlatDemandMonth6 | Open Energy Information  

Open Energy Info (EERE)

FlatDemandMonth6 FlatDemandMonth6 Jump to: navigation, search This is a property of type Number. The allowed values for this property are: 1 2 3 4 5 6 7 8 9 Pages using the property "OpenEI/UtilityRate/FlatDemandMonth6" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 1 + 000e60f7-120d-48ab-a1f9-9c195329c628 + 1 + 00101108-073b-4503-9cd4-01769611c26f + 1 + 001361ca-50d2-49bc-b331-08755a2c7c7d + 1 + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 1 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 1 + 001d1952-955c-411b-8ce4-3d146852a75e + 1 + 001ea8be-7a59-4bcb-a923-e8f1015946ee + 1 + 001eaca9-6ce7-4c0f-8578-44fc29654e97 + 1 + 0022e9a5-942c-4e97-94d7-600f5d315ce8 + 1 + 002661b8-2e71-48b8-b657-44ff7372f757 + 1 + 0026b4d3-dd02-4423-95e1-56430d887b28 + 1 +

153

Property:OpenEI/UtilityRate/FlatDemandMonth5 | Open Energy Information  

Open Energy Info (EERE)

FlatDemandMonth5 FlatDemandMonth5 Jump to: navigation, search This is a property of type Number. The allowed values for this property are: 1 2 3 4 5 6 7 8 9 Pages using the property "OpenEI/UtilityRate/FlatDemandMonth5" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 1 + 000e60f7-120d-48ab-a1f9-9c195329c628 + 1 + 00101108-073b-4503-9cd4-01769611c26f + 1 + 001361ca-50d2-49bc-b331-08755a2c7c7d + 1 + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 1 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 1 + 001d1952-955c-411b-8ce4-3d146852a75e + 1 + 001ea8be-7a59-4bcb-a923-e8f1015946ee + 1 + 001eaca9-6ce7-4c0f-8578-44fc29654e97 + 1 + 0022e9a5-942c-4e97-94d7-600f5d315ce8 + 1 + 002661b8-2e71-48b8-b657-44ff7372f757 + 1 + 0026b4d3-dd02-4423-95e1-56430d887b28 + 1 +

154

Property:OpenEI/UtilityRate/FixedDemandChargeMonth1 | Open Energy  

Open Energy Info (EERE)

Fixed Demand Charge Month 1 Fixed Demand Charge Month 1 Pages using the property "OpenEI/UtilityRate/FixedDemandChargeMonth1" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 7 + 00101108-073b-4503-9cd4-01769611c26f + 1.71 + 0030a241-5084-4404-9fe4-ed558aad8b59 + 8.28 + 0049111b-fba2-46ba-827d-7ce95609a1d9 + 9.51 + 0055db46-f535-4dc9-a192-920d1bdf382b + 3.2 + 0070a37f-0d41-4331-8115-df40c62e00f3 + 13.24 + 007f7b1f-0cba-450c-9023-df962aa387a4 + 5.28 + 008960d4-14ad-4822-b293-140640cf0bcf + 4.924 + 00cdded9-47a1-49b6-a217-10941ffbefc6 + 1.468 + 00e0b930-90c6-43c2-971a-91dade33f76a + 3.35 + 010f37ad-90a9-4aa8-bbdf-c55e72ee1495 + 4.74 + 017a32a0-140a-4e0b-a10c-f6f67905829c + 4.5 + 019941c8-cc3b-452c-b12e-201301099603 + 11.95 +

155

Property:OpenEI/UtilityRate/DemandReactivePowerCharge | Open Energy  

Open Energy Info (EERE)

DemandReactivePowerCharge DemandReactivePowerCharge Jump to: navigation, search This is a property of type Number. Pages using the property "OpenEI/UtilityRate/DemandReactivePowerCharge" Showing 25 pages using this property. (previous 25) (next 25) 0 00b7ccdc-c7e0-40d2-907f-acb6ae828292 + 0.25 + 00e0b930-90c6-43c2-971a-91dade33f76a + 0.32 + 00e2a43f-6844-417a-b459-edf32d33b051 + 0.0092 + 00fb7dca-d0a6-4b11-b7de-791c2fb9f2e1 + 2.7 + 01a64840-7edc-4193-8073-ed5604e098ca + 0.83 + 035f3d22-3650-47cc-a427-bb35170db128 + 0.3 + 042f06f4-6a5b-424f-a31f-8e1c5a838700 + 0.27 + 0479cd85-894d-412b-b2ce-3b96912e9014 + 0.2 + 04bab597-fe1e-4507-8d90-144980aeba73 + 0.3 + 05211bd7-b6d3-425c-9f96-0845b7828c3c + 0.27 + 052fbe23-ac02-4195-b76d-e572cc53f669 + 0.68 + 05490683-8158-4d2f-ad96-66d5e4980890 + 0.25 +

156

Property:OpenEI/UtilityRate/FlatDemandMonth3 | Open Energy Information  

Open Energy Info (EERE)

FlatDemandMonth3 FlatDemandMonth3 Jump to: navigation, search This is a property of type Number. The allowed values for this property are: 1 2 3 4 5 6 7 8 9 Pages using the property "OpenEI/UtilityRate/FlatDemandMonth3" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 1 + 000e60f7-120d-48ab-a1f9-9c195329c628 + 1 + 00101108-073b-4503-9cd4-01769611c26f + 1 + 001361ca-50d2-49bc-b331-08755a2c7c7d + 1 + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 1 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 1 + 001d1952-955c-411b-8ce4-3d146852a75e + 1 + 001ea8be-7a59-4bcb-a923-e8f1015946ee + 1 + 001eaca9-6ce7-4c0f-8578-44fc29654e97 + 1 + 0022e9a5-942c-4e97-94d7-600f5d315ce8 + 1 + 002661b8-2e71-48b8-b657-44ff7372f757 + 1 + 0026b4d3-dd02-4423-95e1-56430d887b28 + 2 +

157

Strategies for Demand Response in Commercial Buildings  

E-Print Network (OSTI)

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

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

2006-01-01T23:59:59.000Z

158

Definition: Automated Islanding And Reconnection | Open Energy Information  

Open Energy Info (EERE)

Islanding And Reconnection Islanding And Reconnection Jump to: navigation, search Dictionary.png Automated Islanding And Reconnection Automated Islanding and Reconnection Automated islanding and reconnection is achieved by automated separation and subsequent reconnection (autonomous synchronization) of an independently operated portion of the T&D system (i.e., microgrid) from the interconnected electric grid. A microgrid is an integrated energy system consisting of interconnected loads and distributed energy resources which, as an integrated system, can operate in parallel with the grid or as an island.[1] View on Wikipedia Wikipedia Definition Islanding refers to the condition in which a distributed (DG) generator continues to power a location even though electrical grid power

159

Demand response medium sized industry consumers (Smart Grid Project) | Open  

Open Energy Info (EERE)

response medium sized industry consumers (Smart Grid Project) response medium sized industry consumers (Smart Grid Project) Jump to: navigation, search Project Name Demand response medium sized industry consumers Country Denmark Headquarters Location Aarhus, Denmark Coordinates 56.162937°, 10.203921° 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":56.162937,"lon":10.203921,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

160

Property:FlatDemandStructure | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:FlatDemandStructure Jump to: navigation, search This is a property of type Page. Pages using the property "FlatDemandStructure" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 0000827d-84d0-453d-b659-b86869323897 + 000e60f7-120d-48ab-a1f9-9c195329c628 + 000e60f7-120d-48ab-a1f9-9c195329c628 + 00101108-073b-4503-9cd4-01769611c26f + 00101108-073b-4503-9cd4-01769611c26f + 001361ca-50d2-49bc-b331-08755a2c7c7d + 001361ca-50d2-49bc-b331-08755a2c7c7d + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 001d1952-955c-411b-8ce4-3d146852a75e + 001d1952-955c-411b-8ce4-3d146852a75e +

Note: This page contains sample records for the topic "open automated demand" 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

Property:OpenEI/UtilityRate/FixedDemandChargeMonth11 | Open Energy  

Open Energy Info (EERE)

Name: Fixed Demand Charge Month 11 Pages using the property "OpenEI/UtilityRate/FixedDemandChargeMonth11" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 7 + 00101108-073b-4503-9cd4-01769611c26f + 1.71 + 0030a241-5084-4404-9fe4-ed558aad8b59 + 8.28 + 0049111b-fba2-46ba-827d-7ce95609a1d9 + 9.51 + 0055db46-f535-4dc9-a192-920d1bdf382b + 3.2 + 0070a37f-0d41-4331-8115-df40c62e00f3 + 13.24 + 007f7b1f-0cba-450c-9023-df962aa387a4 + 5.28 + 008960d4-14ad-4822-b293-140640cf0bcf + 4.924 + 00cdded9-47a1-49b6-a217-10941ffbefc6 + 1.468 + 00e0b930-90c6-43c2-971a-91dade33f76a + 3.35 + 010f37ad-90a9-4aa8-bbdf-c55e72ee1495 + 4.74 + 017a32a0-140a-4e0b-a10c-f6f67905829c + 4.5 + 019941c8-cc3b-452c-b12e-201301099603 + 11.95 +

162

Property:OpenEI/UtilityRate/FixedDemandChargeMonth12 | Open Energy  

Open Energy Info (EERE)

Name: Fixed Demand Charge Month 12 Pages using the property "OpenEI/UtilityRate/FixedDemandChargeMonth12" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 7 + 00101108-073b-4503-9cd4-01769611c26f + 1.71 + 0030a241-5084-4404-9fe4-ed558aad8b59 + 8.28 + 0049111b-fba2-46ba-827d-7ce95609a1d9 + 9.51 + 0055db46-f535-4dc9-a192-920d1bdf382b + 3.2 + 0070a37f-0d41-4331-8115-df40c62e00f3 + 13.24 + 007f7b1f-0cba-450c-9023-df962aa387a4 + 5.28 + 008960d4-14ad-4822-b293-140640cf0bcf + 4.924 + 00cdded9-47a1-49b6-a217-10941ffbefc6 + 1.468 + 00e0b930-90c6-43c2-971a-91dade33f76a + 3.35 + 010f37ad-90a9-4aa8-bbdf-c55e72ee1495 + 4.74 + 017a32a0-140a-4e0b-a10c-f6f67905829c + 4.5 + 019941c8-cc3b-452c-b12e-201301099603 + 11.95 +

163

Property:OpenEI/UtilityRate/FixedDemandChargeMonth10 | Open Energy  

Open Energy Info (EERE)

Name: Fixed Demand Charge Month 10 Pages using the property "OpenEI/UtilityRate/FixedDemandChargeMonth10" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 7 + 00101108-073b-4503-9cd4-01769611c26f + 1.71 + 0030a241-5084-4404-9fe4-ed558aad8b59 + 10.59 + 0049111b-fba2-46ba-827d-7ce95609a1d9 + 9.51 + 0055db46-f535-4dc9-a192-920d1bdf382b + 3.2 + 0070a37f-0d41-4331-8115-df40c62e00f3 + 13.24 + 007f7b1f-0cba-450c-9023-df962aa387a4 + 5.28 + 008960d4-14ad-4822-b293-140640cf0bcf + 4.924 + 00cdded9-47a1-49b6-a217-10941ffbefc6 + 1.468 + 00e0b930-90c6-43c2-971a-91dade33f76a + 2.71 + 010f37ad-90a9-4aa8-bbdf-c55e72ee1495 + 4.74 + 017a32a0-140a-4e0b-a10c-f6f67905829c + 4.5 + 019941c8-cc3b-452c-b12e-201301099603 + 11.95 +

164

Property:OpenEI/UtilityRate/DemandChargePeriod6 | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search This is a property of type Number. Name: Demand Charge Period 6 Pages using the property "OpenEI/UtilityRate/DemandChargePeriod6" Showing 13 pages using this property. 0 0cbf0ab5-6819-42a2-bec6-1474dedf49c7 + 4.94 + 2 243d213c-25ea-4709-b421-6ff602b22d53 + 4.94 + 3 3436a635-b3b2-43a5-93ea-e0df37ef26c0 + 0 + 37ba48cd-8228-413b-b67c-8924492a64ce + 4.94 + 4 479553d6-3efc-4773-88d7-7c87804c0a65 + 0.13 + 4bc8edda-d0e1-40ee-aac2-c2b32603a6b4 + 0.406 + 4d4a192d-b047-4a30-b719-27b28886d52b + 0 + C C65fb7a2-3639-410b-9164-fc6aa9e8e68c + 0.18 + D D21bf95c-9259-4058-ba7c-21aabd1edf31 + 0 + Df73a354-dd92-4e20-91b2-db16bde25dbb + 6 + E E0f831df-88a7-45a7-853c-d3958e41be83 + 1.2 + F F43273e8-6ef9-443f-9cee-9e20ab9b47d0 + 4.94 + F71b0b63-1b9c-4afd-8481-7af45939042a + 0 +

165

Property:OpenEI/UtilityRate/DemandChargePeriod2 | Open Energy Information  

Open Energy Info (EERE)

Pages using the property "OpenEI/UtilityRate/DemandChargePeriod2" Pages using the property "OpenEI/UtilityRate/DemandChargePeriod2" Showing 25 pages using this property. (previous 25) (next 25) 0 0044fc17-f119-47eb-ae5d-0f489e09b203 + 12.94 + 0070a37f-0d41-4331-8115-df40c62e00f3 + 3.49 + 00cdded9-47a1-49b6-a217-10941ffbefc6 + 10.865 + 00fb7dca-d0a6-4b11-b7de-791c2fb9f2e1 + 8.15 + 00ff280d-1664-4b09-979b-5ee1e370b704 + 0.26 + 018673f0-093a-4a53-869d-3ac77d260efb + 0 + 01dd3bae-411e-40ee-b067-b2a0430baba3 + 6.75 + 01f6f9b2-3658-45e2-aa3e-f7afaf9b481d + 17.96 + 024ac306-1e30-4870-94f8-ef12908abe23 + 16.89 + 0253037f-3371-4224-b225-523d48a5e4c8 + 0.0267 + 02f09bc0-ae05-47af-a5ec-0074226c199b + 4.03 + 0385ea12-8fa5-45aa-8fc9-05df0358cd07 + 23.65 + 05146a64-a5a4-4271-a5ad-cb3a9a1e9345 + 33.94 + 05490683-8158-4d2f-ad96-66d5e4980890 + 0 +

166

Property:OpenEI/UtilityRate/DemandChargePeriod5 | Open Energy Information  

Open Energy Info (EERE)

Pages using the property "OpenEI/UtilityRate/DemandChargePeriod5" Pages using the property "OpenEI/UtilityRate/DemandChargePeriod5" Showing 25 pages using this property. 0 0934dd86-7cbe-437a-8cc5-47f469d3a745 + 8.516 + 0cbf0ab5-6819-42a2-bec6-1474dedf49c7 + 12.05 + 1 15d745ce-504b-4b58-8398-bd0feecd6cd3 + 12.08 + 16c96f08-175e-4914-b959-38a16682f377 + 12.178 + 1f892ab7-b5e8-4c7d-9e3d-d8fd46472ccc + 1.66 + 2 243d213c-25ea-4709-b421-6ff602b22d53 + 11.89 + 3 3436a635-b3b2-43a5-93ea-e0df37ef26c0 + 15.42 + 37ba48cd-8228-413b-b67c-8924492a64ce + 12.34 + 4 479553d6-3efc-4773-88d7-7c87804c0a65 + 0.27 + 4bc8edda-d0e1-40ee-aac2-c2b32603a6b4 + 0.408 + 4d4a192d-b047-4a30-b719-27b28886d52b + 0 + 6 6431b6d0-4fce-4b94-ac92-b8e1634e144f + 1.66 + 9 98c27d12-986e-49f2-bba0-c6a507f49195 + 13.1 + A A8443e10-6622-42f0-ad0b-5dbf429bf993 + 11.778 +

167

Property:OpenEI/UtilityRate/DemandRateStructure/Tier4Rate | Open Energy  

Open Energy Info (EERE)

Rate" Rate" Showing 13 pages using this property. 4 4b524791-bef2-49b1-850b-458730755203 + 5 +, 6 +, 3 +, ... 4b524791-bef2-49b1-850b-458730755203 + 6 + 4b524791-bef2-49b1-850b-458730755203 + 3 + 4b524791-bef2-49b1-850b-458730755203 + 7 + 4b524791-bef2-49b1-850b-458730755203 + 5 + 4b524791-bef2-49b1-850b-458730755203 + 8 + 4b524791-bef2-49b1-850b-458730755203 + 5 + 4b524791-bef2-49b1-850b-458730755203 + 5 + 4b524791-bef2-49b1-850b-458730755203 + 6 + 4b524791-bef2-49b1-850b-458730755203 + 6 + E E40880ac-c27b-4cbf-a011-b0d7d6e10fe9 + 1 + E40880ac-c27b-4cbf-a011-b0d7d6e10fe9 + 1 + E40880ac-c27b-4cbf-a011-b0d7d6e10fe9 + 1 + Retrieved from "http://en.openei.org/w/index.php?title=Property:OpenEI/UtilityRate/DemandRateStructure/Tier4Rate&oldid=53975

168

Property:OpenEI/UtilityRate/DemandRateStructure/Tier3Max | Open Energy  

Open Energy Info (EERE)

Max" Max" Showing 13 pages using this property. 4 4b524791-bef2-49b1-850b-458730755203 + 5 + 4b524791-bef2-49b1-850b-458730755203 + 5 + 4b524791-bef2-49b1-850b-458730755203 + 6 + 4b524791-bef2-49b1-850b-458730755203 + 7 + 4b524791-bef2-49b1-850b-458730755203 + 3 +, 4 +, 5 +, ... 4b524791-bef2-49b1-850b-458730755203 + 9 + 4b524791-bef2-49b1-850b-458730755203 + 3 + 4b524791-bef2-49b1-850b-458730755203 + 30 + 4b524791-bef2-49b1-850b-458730755203 + 4 + 4b524791-bef2-49b1-850b-458730755203 + 36 + E E40880ac-c27b-4cbf-a011-b0d7d6e10fe9 + 200 + E40880ac-c27b-4cbf-a011-b0d7d6e10fe9 + 200 + E40880ac-c27b-4cbf-a011-b0d7d6e10fe9 + 200 + Retrieved from "http://en.openei.org/w/index.php?title=Property:OpenEI/UtilityRate/DemandRateStructure/Tier3Max&oldid=539747

169

Definition: Automated Feeder And Line Switching | Open Energy Information  

Open Energy Info (EERE)

Definition Definition Edit with form History Facebook icon Twitter icon » Definition: Automated Feeder And Line Switching Jump to: navigation, search Dictionary.png Automated Feeder And Line Switching Automated feeder and line switching is realized through automatic isolation and reconfiguration of faulted segments of distribution feeders or transmission lines via sensors, controls, switches, and communications systems. These devices can operate autonomously in response to local events or in response to signals from a central control system.[1] Related Terms transmission lines, transmission line References ↑ SmartGrid.gov 'Description of Functions' An i LikeLike UnlikeLike 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:Automated_Feeder_And_Line_Switching&oldid=480562"

170

Property:OpenEI/UtilityRate/DemandChargePeriod2FAdj | Open Energy  

Open Energy Info (EERE)

Fuel Adj Fuel Adj Pages using the property "OpenEI/UtilityRate/DemandChargePeriod2FAdj" Showing 25 pages using this property. (previous 25) (next 25) 0 02317cd6-a0ec-4111-8627-09664a2c083c + 0.84 + 1 13087919-93aa-4ea4-a980-9651069273c7 + 7.31 + 16aa4028-86d4-4e27-be38-fe817b497238 + 0.497 + 1a72490d-bb6a-4115-99a7-7dbc54cb1824 + 11.49 + 2 2367240f-bd28-4b73-ae88-b8f1d7ed70c1 + 0.497 + 24f48897-8a68-4ae0-99d9-ecc0281f7ece + 8.73 + 3 3bbd220c-c3da-4420-99dc-f2eeb44ce2e3 + 0.0295 + 4 448aa8c8-e896-439a-82c8-b61a66a80429 + 0.412 + 479553d6-3efc-4773-88d7-7c87804c0a65 + 0.91 + 4bc8edda-d0e1-40ee-aac2-c2b32603a6b4 + 6.5e-4 + 4d4a192d-b047-4a30-b719-27b28886d52b + 1.5 + 4e7a224a-8960-4bbf-8843-321a81d7c3a8 + 0.888 + 4f0014b5-64b1-4487-8c74-3e19564df58e + 0.402 +

171

Property:OpenEI/UtilityRate/DemandRateStructure/Period | Open Energy  

Open Energy Info (EERE)

Period Period Jump to: navigation, search This is a property of type Number. The allowed values for this property are: 1 2 3 4 5 6 7 8 9 Pages using the property "OpenEI/UtilityRate/DemandRateStructure/Period" Showing 25 pages using this property. (previous 25) (next 25) 0 000e60f7-120d-48ab-a1f9-9c195329c628 + 1 + 000e60f7-120d-48ab-a1f9-9c195329c628 + 1 + 001361ca-50d2-49bc-b331-08755a2c7c7d + 1 + 001361ca-50d2-49bc-b331-08755a2c7c7d + 1 + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 1 + 0016f771-cda9-4312-afc2-63f10c8d8bf5 + 1 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 1 + 00178d3d-17cb-46ed-8a58-24c816ddce96 + 1 + 001d1952-955c-411b-8ce4-3d146852a75e + 1 + 001d1952-955c-411b-8ce4-3d146852a75e + 1 + 0022e9a5-942c-4e97-94d7-600f5d315ce8 + 1 + 0022e9a5-942c-4e97-94d7-600f5d315ce8 + 1 +

172

KSL Kuttler Automation Systems GmbH | Open Energy Information  

Open Energy Info (EERE)

KSL Kuttler Automation Systems GmbH KSL Kuttler Automation Systems GmbH Jump to: navigation, search Name KSL-Kuttler Automation Systems GmbH Place Dauchingen, Baden-Württemberg, Germany Zip 78083 Sector Solar Product KSL-Kuttler Automation Systems GmbH is a manufacturer of automation systems for the PCB-industry and solar industry. KSL Kuttler was acquired by Suntech in April 2008. Coordinates 48.090319°, 8.552377° 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":48.090319,"lon":8.552377,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

173

DA (Distribution Automation) (Smart Grid Project) | Open Energy Information  

Open Energy Info (EERE)

DA (Distribution Automation) (Smart Grid Project) DA (Distribution Automation) (Smart Grid Project) Jump to: navigation, search Project Name DA (Distribution Automation) Country Netherlands Coordinates 52.132633°, 5.291266° 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":52.132633,"lon":5.291266,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

174

International Automated Systems Inc IAUS | Open Energy Information  

Open Energy Info (EERE)

International Automated Systems Inc IAUS International Automated Systems Inc IAUS Jump to: navigation, search Name International Automated Systems Inc (IAUS) Place Salem, Utah Zip 84653 Product Has developed a lens-based technology for concentrating heat in STEGSs, which it plans to deploy at projects. Coordinates 42.554485°, -88.110549° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.554485,"lon":-88.110549,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

175

Automation and security of Supply (Smart Grid Project) | Open Energy  

Open Energy Info (EERE)

Automation and security of Supply (Smart Grid Project) Automation and security of Supply (Smart Grid Project) Jump to: navigation, search Project Name Automation and security of Supply Country Denmark Coordinates 56.26392°, 9.501785° 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":56.26392,"lon":9.501785,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

176

Aescusoft GmbH Automation | Open Energy Information  

Open Energy Info (EERE)

Aescusoft GmbH Automation Aescusoft GmbH Automation Jump to: navigation, search Name Aescusoft GmbH Automation Place Ettenheim, Germany Zip 77955 Product Offers PV cell testing lines. Coordinates 48.256309°, 7.813654° 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":48.256309,"lon":7.813654,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

177

Akuacom | Open Energy Information  

Open Energy Info (EERE)

Product: California-based provider of technology and services for Automated Demand Response (Auto-DR). References: Akuacom1 This article is a stub. You can help OpenEI by...

178

Definition: Automated Voltage And Var Control | Open Energy Information  

Open Energy Info (EERE)

Voltage And Var Control Voltage And Var Control Jump to: navigation, search Dictionary.png Automated Voltage And Var Control Automated voltage and VAR control requires coordinated operation of reactive power resources such as capacitor banks, voltage regulators, transformer load-tap changers, and distributed generation (DG) with sensors, controls, and communications systems. These devices could operate autonomously in response to local events or in response to signals from a central control system.[1] View on Wikipedia Wikipedia Definition Also Known As Volt-VAR Control (VVC) Related Terms smart grid, Reactive Power References ↑ SmartGrid.gov 'Description of Functions' An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline Glossary Definition Retrieved from

179

Price Responsive Demand in New York Wholesale Electricity Market using  

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

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

180

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

Note: This page contains sample records for the topic "open automated demand" 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

Automated Demand Response Technologies and Demonstration in New York City using OpenADR  

E-Print Network (OSTI)

system operators, energy suppliers, etc. ) to subscribingor retail third-party energy supplier contract. In NYS, MHPfrom a retail energy supplier. Con Edison’s customers who

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

182

Automated Demand Response Technologies and Demonstration in New York City using OpenADR  

E-Print Network (OSTI)

Service Provider NYISO SCR & EDRP Comverge HVAC System AirSpecial Case Resources (SCR) NYISO Capacity Reliability 2.Building A Office NYPA NYISO SCR & EDRP Energy Curtailment

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

183

Automated Demand Response Technologies and Demonstration in New York City using OpenADR  

E-Print Network (OSTI)

Energy NYISO SCR & EDRP ConEd DLRP & CSRP iES Office Building C Office N/A NYPA NYISO SCR Con Ed DLRP Constellation

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

184

Analysis of Open Automated Demand Response Deployments in California and Guidelines to Transition to Industry Standards  

E-Print Network (OSTI)

of  Standards  and  Technology,  Lawrence  Berkeley  Honeywell,  and  IPKeys  Technologies.  Published  in  the  Environmental  Energy  Technologies  Division.  Presented  

Ghatikar, Girish

2014-01-01T23:59:59.000Z

185

Analysis of Open Automated Demand Response Deployments in California and Guidelines to Transition to Industry Standards  

E-Print Network (OSTI)

hardware  is  in   its  lifecycle.  Upgrading  software  on  devices  that  are  near  their   end-­?of-­?life  

Ghatikar, Girish

2014-01-01T23:59:59.000Z

186

Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid  

E-Print Network (OSTI)

6/16/2010. OASIS SDO. “Energy Market Information Exchange (of Prices CAISO’s Wholesale Energy Market Prices PG&E’s PDPWe used the CAISO wholesale energy market prices for the RTP

Ghatikar, Girish

2010-01-01T23:59:59.000Z

187

Automated Demand Response Technologies and Demonstration in New York City using OpenADR  

E-Print Network (OSTI)

to the capacity and energy markets. As of 2011, only 15% ofcosts in the near term energy markets. NYS customers arein NYS’s wholesale energy market, innovations in building

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

188

Automated Demand Response Technologies and Demonstration in New York City using OpenADR  

E-Print Network (OSTI)

National Laboratory and New York State Energy Research andLaboratory (LBNL) and New York State Energy Research andCenter (DRRC) at LBNL and New York State Energy Research and

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

189

Automated Demand Response Technologies and Demonstration in New York City using OpenADR  

E-Print Network (OSTI)

Akuacom San Rafael, CA Honeywell International, Inc. FullTrademark Copyright © 2012 Honeywell Inc. • All Rightsvendor-specific BMS, namely Honeywell’s Enterprise Buildings

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

190

Analysis of Open Automated Demand Response Deployments in California and Guidelines to Transition to Industry Standards  

E-Print Network (OSTI)

National   Laboratory,  Akuacom/Honeywell,  and  IPKeys  sites/drrc.lbl.gov/files/LBNL-­?6055E.pdf.     Honeywell.  2009.  Honeywell  Awarded  Smart  Grid  Grant  from  U.S.  

Ghatikar, Girish

2014-01-01T23:59:59.000Z

191

Field Demonstration of Automated Demand Response for Both Winter and Summer Events in Large Buildings in the Pacific Northwest  

E-Print Network (OSTI)

Power Administration (BPA), Seattle City Light (SCL),s Bonneville Power Administration (BPA) to meet peak demand.Although BPA has historically been able to meet peak load

Piette, Mary Ann

2014-01-01T23:59:59.000Z

192

how can I sort utilities by demand charge? | OpenEI Community  

Open Energy Info (EERE)

sort utilities by demand charge? Home am looking to find a way to sort the utility rate data by demand charge. Any ideas how to do? Thanks Submitted by Apin101 on 26 November, 2013...

193

Smart Buildings and Demand Response  

Science Journals Connector (OSTI)

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

2011-01-01T23:59:59.000Z

194

New Zealand Energy Data: Electricity Demand and Consumption | OpenEI  

Open Energy Info (EERE)

Electricity Demand and Consumption Electricity Demand and Consumption 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). The sectors included are: agriculture, forestry and fishing; industrial (mining, food processing, wood and paper, chemicals, basic metals, other minor sectors); commercial; and residential. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago)

195

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

Open Energy Info (EERE)

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

196

The Impact of Control Technology on the Demand Response Potential of California Industrial Refrigerated Facilities Final Report  

E-Print Network (OSTI)

and Automated Demand Response in Industrial RefrigeratedDemand Response .. ..Technology on the Demand Response Potential of California

Scott, Doug

2014-01-01T23:59:59.000Z

197

Test Automation Test Automation  

E-Print Network (OSTI)

Test Automation Test Automation Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing 2013 Mousavi: Test Automation #12;Test Automation Outline Test Automation Mousavi: Test Automation #12;Test Automation Why? Challenges of Manual Testing Test-case design: Choosing inputs

Mousavi, Mohammad

198

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

60% limit * VFD: Variable Frequency Drive, IWC = Inch WaterControl Variable Central Frequency Lighting Drives Control

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

2005-01-01T23:59:59.000Z

199

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

HVAC strategies include concepts such as global zone set point increase (from 72 °F-75 °F), resetting duct static pressure,

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

2005-01-01T23:59:59.000Z

200

Participation through Automation: Fully Automated Critical Peak Pricing in Commercial Buildings  

E-Print Network (OSTI)

Figure 2. Demand Response Automation Server and BuildingII system to notify the Automation Server of an up comingoccurs day-ahead). 2. The Automation Server posts two pieces

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

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "open automated demand" 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

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network (OSTI)

Embaby, and M. Rao (2006). Refinery Wastewater Treatment: Aand Assessment of Al Ruwais Refinery Wastewater." Journal ofThe Effects of Petroleum Refinery Wastewater on the Rate of

Lekov, Alex

2010-01-01T23:59:59.000Z

202

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network (OSTI)

A byproduct of this process is biogas which contains 50– 70%Partners LLC 2007). This biogas can be used to generate heatmethane fermentation and biogas recovery (Green 1995).

Lekov, Alex

2010-01-01T23:59:59.000Z

203

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network (OSTI)

Processing Industry Energy Efficiency Initiative, CaliforniaK. (2004). Bringing Energy Efficiency to the Water andAgricultural/Water End-Use Energy Efficiency Program. Lyco

Lekov, Alex

2010-01-01T23:59:59.000Z

204

Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR  

E-Print Network (OSTI)

Company for the electric load data. R EFERENCES Borenstein,whole building electric load data was made available to the7 shows the one-year load data (from September 2011 to

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

205

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network (OSTI)

R. J. (1997). Wastewater Reduction and Recycling in Foodreclaiming and recycling wastewater, or subsidizing theis done through recycling the wastewater to reduce energy

Lekov, Alex

2010-01-01T23:59:59.000Z

206

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network (OSTI)

50 Effluent Hydropower- Kilowatt Output as Function of HeadDepartment of Energy (2003). Hydropower Setting a Course forEnergy Commission). Hydropower: Hydropower turbines for low-

Lekov, Alex

2010-01-01T23:59:59.000Z

207

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network (OSTI)

nanofiltration, and reverse osmosis membranes, as well asion exchange, reverse osmosis, and ammonia stripping.Metcalf & Eddy Inc. 2003). Reverse osmosis occurs when water

Lekov, Alex

2010-01-01T23:59:59.000Z

208

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network (OSTI)

best practices that could be applicable in improving the energy efficiencyEnergy efficiency measures that have been successfully implemented in municipal wastewater treatment facilities can serve as best practices

Lekov, Alex

2010-01-01T23:59:59.000Z

209

Analytical Frameworks to Incorporate Demand Response in Long-term Resource Planning  

E-Print Network (OSTI)

Cost- effectiveness of Demand Response. ” Prepared for theon the National Action Plan on Demand Response, February.Role of Automated Demand Response. ” LBNL-4189E, November.

Satchwell, Andrew

2014-01-01T23:59:59.000Z

210

Utveckling av ett öppet Home Automation-protokoll för användning över IP-nätverk; Development of an open Home Automation protocol for use over IP networks.  

E-Print Network (OSTI)

?? Detta arbete tar upp utvecklingen av ett nytt protokoll för användning inom Home Automation över IP-nätverk, med stor vikt på flexibilitet och enkelhet. Vi… (more)

Johnsson, Kim; Turfors, Christoffer

2010-01-01T23:59:59.000Z

211

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

E-Print Network (OSTI)

hours: 7am ? 11pm, 7 days a week ? Opportunities ? Centralized BMS for HVAC controls ? Automated Logic Corporation?s WebCTRL? ? Communication protocol: BACnet ? Challenges ? Lighting control not tied to the BMS ? Stringent network security... hours: 7am ? 11pm, 7 days a week ? Opportunities ? Centralized BMS for HVAC controls ? Automated Logic Corporation?s WebCTRL? ? Communication protocol: BACnet ? Challenges ? Lighting control not tied to the BMS ? Stringent network security...

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

2013-01-01T23:59:59.000Z

212

Demand Reduction  

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

213

Examining Uncertainty in Demand Response Baseline Models and  

E-Print Network (OSTI)

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

214

FEMP Presents Its Newest On-Demand eTraining Course on Building...  

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

Presents Its Newest On-Demand eTraining Course on Building Automation Systems FEMP Presents Its Newest On-Demand eTraining Course on Building Automation Systems November 19, 2013 -...

215

The Study of Substation Automation Remote Communication for Multi-granularity Access Control System  

Science Journals Connector (OSTI)

This paper based on the demands of access control of substation automation system, analyzed two operation objects of ... can fulfill the needs of access control in substation automation.

Lichun Shi; Haimei Xiao

2012-01-01T23:59:59.000Z

216

Opportunities, Barriers and Actions for Industrial Demand Response in California  

SciTech Connect

In 2006 the Demand Response Research Center (DRRC) formed an Industrial Demand Response Team to investigate opportunities and barriers to implementation of Automated Demand Response (Auto-DR) systems in California industries. Auto-DR is an open, interoperable communications and technology platform designed to: Provide customers with automated, electronic price and reliability signals; Provide customers with capability to automate customized DR strategies; Automate DR, providing utilities with dispatchable operational capability similar to conventional generation resources. This research began with a review of previous Auto-DR research on the commercial sector. Implementing Auto-DR in industry presents a number of challenges, both practical and perceived. Some of these include: the variation in loads and processes across and within sectors, resource-dependent loading patterns that are driven by outside factors such as customer orders or time-critical processing (e.g. tomato canning), the perceived lack of control inherent in the term 'Auto-DR', and aversion to risk, especially unscheduled downtime. While industry has demonstrated a willingness to temporarily provide large sheds and shifts to maintain grid reliability and be a good corporate citizen, the drivers for widespread Auto-DR will likely differ. Ultimately, most industrial facilities will balance the real and perceived risks associated with Auto-DR against the potential for economic gain through favorable pricing or incentives. Auto-DR, as with any ongoing industrial activity, will need to function effectively within market structures. The goal of the industrial research is to facilitate deployment of industrial Auto-DR that is economically attractive and technologically feasible. Automation will make DR: More visible by providing greater transparency through two-way end-to-end communication of DR signals from end-use customers; More repeatable, reliable, and persistent because the automated controls strategies that are 'hardened' and pre-programmed into facility's software and hardware; More affordable because automation can help reduce labor costs associated with manual DR strategies initiated by facility staff and can be used for long-term.

McKane, Aimee T.; Piette, Mary Ann; Faulkner, David; Ghatikar, Girish; Radspieler Jr., Anthony; Adesola, Bunmi; Murtishaw, Scott; Kiliccote, Sila

2008-01-31T23:59:59.000Z

217

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

218

Home Network Technologies and Automating Demand Response  

E-Print Network (OSTI)

side. Table 1. US Energy Consumption by Sector (2009 -half of all energy consumption in the US. On a per customer

McParland, Charles

2010-01-01T23:59:59.000Z

219

Automated roller shades : Daylighting The New York Times Building  

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

Automated roller shades Automated roller shades Overview The architectural approach The owner's approach Daylighting field study Daylighting control systems Automated roller shades Procurement specifications Shades and Shade Controls Lighting Controls Visualizing daylight Commissioning/ verification Demand response Mainstream solutions Post-occupancy evaluation Publications Sponsors Project team Automated roller shades Automated roller shades manage daylight, solar heat gains, view, glare, privacy, and building appearance through changes in shade height. A roller shade consists of a fabric wrapped around a horizontal tube, which contains a tubular motor. The tubular motor rotates when ac- or dc- power is applied to it causing modulation in shade height. The control system can be designed to optimize numerous variables, the most common being control of direct sun. In this application, the shades were controlled to five preset heights that aligned with the architectural features of the façade - i.e., the vision portion of the window wall - so that direct sun penetrated no more than a specified distance from the window wall. The Times Company also requested that the shades control window glare, yet maximize the opportunity for view and daylight admission. Unnecessary up/down movement of the shade was to be minimized. Fabric choices (openness of the weave, color of the fabric facing toward the interior and exterior) were additional considerations in terms of appearance as well as visual comfort and daylighting benefits.

220

Automation Status  

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

NREL Manufacturing R&D Workshop NREL Manufacturing R&D Workshop NREL H2/FC Manufacturing R&D Workshop Automation Status Garry Sperrick garry@sperkllc.com 585-259-0311 August 11, 2011 Automation Status NREL Manufacturing R&D Workshop Presentation Overview ƒ Brief Introduction ƒ DOE / NREL - Review & Discussion ƒ Automation Platforms ƒ Automation Processes ƒ Automation Considerations of the Manufacturer ƒ Manufacturer and the Supplier ƒ Three (3) Automation Programs Following these Guidelines ƒ Automotive Component Manufacturing ƒ Medical Manufacturing ƒ Membrane Electrode Assembly Manufacturing ƒ Hypothetical Fuel Cell Manufacturing Platforms August 11, 2011 Automation Status NREL Manufacturing R&D Workshop Professional Bio ƒ Automation Technician - Mobil Chemical

Note: This page contains sample records for the topic "open automated demand" 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

Home Automation  

E-Print Network (OSTI)

In this paper I briefly discuss the importance of home automation system. Going in to the details I briefly present a real time designed and implemented software and hardware oriented house automation research project, capable of automating house's electricity and providing a security system to detect the presence of unexpected behavior.

Ahmed, Zeeshan

2010-01-01T23:59:59.000Z

222

Maintaining Privacy in Data Rich Demand Response Applications  

Science Journals Connector (OSTI)

The paper introduces the privacy problem of demand response applications performed with the OpenADR standard. A...

Markus Karwe; Jens Strüker

2013-01-01T23:59:59.000Z

223

Demand Response Opportunities in Industrial Refrigerated Warehouses in California  

SciTech Connect

Industrial refrigerated warehouses that implemented energy efficiency measures and have centralized control systems can be excellent candidates for Automated Demand Response (Auto-DR) due to equipment synergies, and receptivity of facility managers to strategies that control energy costs without disrupting facility operations. Auto-DR utilizes OpenADR protocol for continuous and open communication signals over internet, allowing facilities to automate their Demand Response (DR). Refrigerated warehouses were selected for research because: They have significant power demand especially during utility peak periods; most processes are not sensitive to short-term (2-4 hours) lower power and DR activities are often not disruptive to facility operations; the number of processes is limited and well understood; and past experience with some DR strategies successful in commercial buildings may apply to refrigerated warehouses. This paper presents an overview of the potential for load sheds and shifts from baseline electricity use in response to DR events, along with physical configurations and operating characteristics of refrigerated warehouses. Analysis of data from two case studies and nine facilities in Pacific Gas and Electric territory, confirmed the DR abilities inherent to refrigerated warehouses but showed significant variation across facilities. Further, while load from California's refrigerated warehouses in 2008 was 360 MW with estimated DR potential of 45-90 MW, actual achieved was much less due to low participation. Efforts to overcome barriers to increased participation may include, improved marketing and recruitment of potential DR sites, better alignment and emphasis on financial benefits of participation, and use of Auto-DR to increase consistency of participation.

Goli, Sasank; McKane, Aimee; Olsen, Daniel

2011-06-14T23:59:59.000Z

224

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

225

Test Automation Ant JUnit Test Automation  

E-Print Network (OSTI)

Test Automation Ant JUnit Test Automation Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing 2012 Mousavi: Test Automation #12;Test Automation Ant JUnit Outline Test Automation Ant JUnit Mousavi: Test Automation #12;Test Automation Ant JUnit Why? Challenges of Manual Testing

Mousavi, Mohammad

226

Demand Response  

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

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

227

Automation i Distributionsnät; Distribution automation.  

E-Print Network (OSTI)

?? As a part of Göteborg Energi’s work towards a smarter electric grid, the company has chosen to investigate the possibilities of automation in their… (more)

Mård, Mathias

2012-01-01T23:59:59.000Z

228

Commercial & Industrial Demand Response  

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

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

229

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

230

Demand Response Opportunities in Industrial Refrigerated Warehouses in  

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

Response Opportunities in Industrial Refrigerated Warehouses in Response Opportunities in Industrial Refrigerated Warehouses in California Title Demand Response Opportunities in Industrial Refrigerated Warehouses in California Publication Type Conference Paper LBNL Report Number LBNL-4837E Year of Publication 2011 Authors Goli, Sasank, Aimee T. McKane, and Daniel Olsen Conference Name 2011 ACEEE Summer Study on Energy Efficiency in Industry Date Published 08/2011 Conference Location Niagara Falls, NY Keywords market sectors, openadr, refrigerated warehouses Abstract Industrial refrigerated warehouses that implemented energy efficiency measures and have centralized control systems can be excellent candidates for Automated Demand Response (Auto-DR) due to equipment synergies, and receptivity of facility managers to strategies that control energy costs without disrupting facility operations. Auto-DR utilizes OpenADR protocol for continuous and open communication signals over internet, allowing facilities to automate their Demand Response (DR). Refrigerated warehouses were selected for research because: They have significant power demand especially during utility peak periods; most processes are not sensitive to short-term (2-4 hours) lower power and DR activities are often not disruptive to facility operations; the number of processes is limited and well understood; and past experience with some DR strategies successful in commercial buildings may apply to refrigerated warehouses. This paper presents an overview of the potential for load sheds and shifts from baseline electricity use in response to DR events, along with physical configurations and operating characteristics of refrigerated warehouses. Analysis of data from two case studies and nine facilities in Pacific Gas and Electric territory, confirmed the DR abilities inherent to refrigerated warehouses but showed significant variation across facilities. Further, while load from California's refrigerated warehouses in 2008 was 360 MW with estimated DR potential of 45-90 MW, actual achieved was much less due to low participation. Efforts to overcome barriers to increased participation may include, improved marketing and recruitment of potential DR sites, better alignment and emphasis on financial benefits of participation, and use of Auto-DR to increase consistency of participation.

231

Highway Electrification And Automation  

E-Print Network (OSTI)

Electrification and Automation Technologies - RegionalHighway Electrification and Automation Steven E. Shladovertechnology of highway automation,” as well as its belief

Shladover, Steven E.

1992-01-01T23:59:59.000Z

232

Advanced Demand Responsive Lighting  

NLE Websites -- All DOE Office Websites (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

233

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

234

LABORATORY EQUIPMENT Most of the work at the Automation and Control Institute is done with the  

E-Print Network (OSTI)

15 4 LABORATORY EQUIPMENT Most of the work at the Automation and Control Institute is done with MetsoDNA open automation system. When testing more sophisticated control algorithms the process data

235

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

236

Strategies for Demand Response in Commercial Buildings  

SciTech Connect

This paper describes strategies that can be used in commercial buildings to temporarily reduce electric load in response to electric grid emergencies in which supplies are limited or in response to high prices that would be incurred if these strategies were not employed. The demand response strategies discussed herein are based on the results of three years of automated demand response field tests in which 28 commercial facilities with an occupied area totaling over 11 million ft{sup 2} were tested. Although the demand response events in the field tests were initiated remotely and performed automatically, the strategies used could also be initiated by on-site building operators and performed manually, if desired. While energy efficiency measures can be used during normal building operations, demand response measures are transient; they are employed to produce a temporary reduction in demand. Demand response strategies achieve reductions in electric demand by temporarily reducing the level of service in facilities. Heating ventilating and air conditioning (HVAC) and lighting are the systems most commonly adjusted for demand response in commercial buildings. The goal of demand response strategies is to meet the electric shed savings targets while minimizing any negative impacts on the occupants of the buildings or the processes that they perform. Occupant complaints were minimal in the field tests. In some cases, ''reductions'' in service level actually improved occupant comfort or productivity. In other cases, permanent improvements in efficiency were discovered through the planning and implementation of ''temporary'' demand response strategies. The DR strategies that are available to a given facility are based on factors such as the type of HVAC, lighting and energy management and control systems (EMCS) installed at the site.

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

2006-06-20T23:59:59.000Z

237

Automation Performance Index.  

E-Print Network (OSTI)

??Automation is intended to improve overall building performance. Building Automation Systems (BAS) are attractive and popular due to their promise of increased operational effectiveness. BAS… (more)

Makarechi, Shariar

2006-01-01T23:59:59.000Z

238

Views on Automation  

Science Journals Connector (OSTI)

Views on Automation ... Industrial managements, he feels, must allay workers' fears by showing how they can take pride in the greater accomplishment of automated plants. ...

1957-07-29T23:59:59.000Z

239

Mass Market Demand Response  

NLE Websites -- All DOE Office Websites (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,

240

Assessing the Control Systems Capacity for Demand Response in California  

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

the Control Systems Capacity for Demand Response in California the Control Systems Capacity for Demand Response in California Industries Title Assessing the Control Systems Capacity for Demand Response in California Industries Publication Type Report LBNL Report Number LBNL-5319E Year of Publication 2012 Authors Ghatikar, Girish, Aimee T. McKane, Sasank Goli, Peter L. Therkelsen, and Daniel Olsen Date Published 01/2012 Publisher CEC/LBNL Keywords automated dr, controls and automation, demand response, dynamic pricing, industrial controls, market sectors, openadr Abstract California's electricity markets are moving toward dynamic pricing models, such as real-time pricing, within the next few years, which could have a significant impact on an industrial facility's cost of energy use during the times of peak use. Adequate controls and automated systems that provide industrial facility managers real-time energy use and cost information are necessary for successful implementation of a comprehensive electricity strategy; however, little is known about the current control capacity of California industries. To address this gap, Lawrence Berkeley National Laboratory, in close collaboration with California industrial trade associations, conducted a survey to determine the current state of controls technologies in California industries. This study identifies sectors that have the technical capability to implement Demand Response (DR) and Automated Demand Response (Auto-DR). In an effort to assist policy makers and industry in meeting the challenges of real-time pricing, facility operational and organizational factors were taken into consideration to generate recommendations on which sectors Demand Response efforts should be focused. Analysis of the survey responses showed that while the vast majority of industrial facilities have semi- or fully automated control systems, participation in Demand Response programs is still low due to perceived barriers. The results also showed that the facilities that use continuous processes are good Demand Response candidates. When comparing facilities participating in Demand Response to those not participating, several similarities and differences emerged. Demand Response-participating facilities and non-participating facilities had similar timings of peak energy use, production processes, and participation in energy audits. Though the survey sample was smaller than anticipated, the results seemed to support our preliminary assumptions. Demonstrations of Auto-Demand Response in industrial facilities with good control capabilities are needed to dispel perceived barriers to participation and to investigate industrial subsectors suggested of having inherent Demand Response potential.

Note: This page contains sample records for the topic "open automated demand" 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

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

242

Exploiting Home Automation Protocols for Load Monitoring in Smart Buildings  

E-Print Network (OSTI)

load con- sumes, e.g., to enable automated demand response. Al- though load monitoring and control, Sean Barker, Aditya Mishra, Prashant Shenoy, and Jeannie Albrecht University of Massachusetts Amherst@cs.williams.edu Abstract Monitoring and controlling electrical loads is crucial for demand-side energy management in smart

Massachusetts at Amherst, University of

243

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

244

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

245

Cross-sector Demand Response  

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

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

246

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

247

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

248

Demand Response In California  

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

249

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

250

Role of Standard Demand Response Signals for Advanced Automated Aggregation  

E-Print Network (OSTI)

peak shaving, load shifting and following, spinning and non-the following actors; ISO/RTO, Distribution Company, LoadLoad State State Feedback Feedback Determine Current Operational State Figure 1: DR Business Process In general the process above involves the following

Kiliccote, Sila

2013-01-01T23:59:59.000Z

251

Automated Demand Response Opportunities in Wastewater Treatment Facilities  

E-Print Network (OSTI)

05CH11231. References EPRI, Energy Audit Manual for Water/Research Institute, Energy Audit Manual for Water/Wastewater

Thompson, Lisa

2008-01-01T23:59:59.000Z

252

Turkey opens electricity markets as demand grows  

SciTech Connect

Turkey's growing power market has attracted investors and project developers for over a decade, yet their plans have been dashed by unexpected political or financial crises or, worse, obstructed by a lengthy bureaucratic approval process. Now, with a more transparent retail electricity market, government regulators and investors are bullish on Turkey. Is Turkey ready to turn the power on? This report closely examine Turkey's plans to create a power infrastructure capable of providing the reliable electricity supplies necessary for sustained economic growth. It was compiled with on-the-ground research and extensive interview with key industrial and political figures. Today, hard coal and lignite account for 21% of Turkey's electricity generation and gas-fired plants account for 50%. The Alfin Elbistan-B lignite-fired plant has attracted criticism for its lack of desulfurization units and ash dam facilities that have tarnished the industry's image. A 1,100 MW hard-coal fired plant using supercritical technology is under construction. 9 figs., 1 tab.

McKeigue, J.; Da Cunha, A.; Severino, D. [Global Business Reports (United States)

2009-06-15T23:59:59.000Z

253

Home Automation System; Automation i hemmet.  

E-Print Network (OSTI)

?? This project revolves around creating a home automation system prototype with the main focus being the ability to lock/unlock a door through the internet.… (more)

Ruwaida,, Bassam

2013-01-01T23:59:59.000Z

254

Automated Microarray Image Analysis Toolbox for MATLAB  

SciTech Connect

The Automated Microarray Image Analysis (AMIA) Toolbox for MATLAB is a flexible, open-source microarray image analysis tool that allows the user to customize analysis of sets of microarray images. This tool provides several methods of identifying and quantify spot statistics, as well as extensive diagnostic statistics and images to identify poor data quality or processing. The open nature of this software allows researchers to understand the algorithms used to provide intensity estimates and to modify them easily if desired.

White, Amanda M.; Daly, Don S.; Willse, Alan R.; Protic, Miroslava; Chandler, Darrell P.

2005-09-01T23:59:59.000Z

255

Integrated Predictive Demand Response Controller Research Project |  

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

Predictive Demand Response Predictive Demand Response Controller Research Project Integrated Predictive Demand Response Controller Research Project The U.S. Department of Energy (DOE) is currently conducting research into integrated predictive demand response (IPDR) controllers. The project team will attempt to design an IPDR controller so that it can be used in new or existing buildings or in collections of buildings. In the case of collections of buildings, they may be colocated on a single campus or remotely located as long as they are served by a single utility or independent service operator. Project Description This project seeks to perform the necessary applied research, development, and testing to provide a communications interface using industry standard open protocols and emerging National Institute of Standards and Technology

256

Viability of Modern Automated Rapid Transit Applications  

E-Print Network (OSTI)

guideway: elevated, underground, at grade · Fully automated: electric-powered, electronic controls · Non · Headways/frequency: about 30 seconds/120 veh/hr · Small vehicles: 4-6 passengers, low weight · Eco: 4 km, 21 vehicles, two stations (parking and terminal) · Open to public service Spring 2011, 22

Minnesota, University of

257

Automation of organic elemental analysis  

Science Journals Connector (OSTI)

Automation of organic elemental analysis ... Describes the development and design of an apparatus for automated organic elemental analysis. ...

Velmer B. Fish

1969-01-01T23:59:59.000Z

258

Automation in biological crystallization  

Science Journals Connector (OSTI)

Automation is the response to overcoming the crystallization bottleneck in biological crystallography. This review provides a summary of the current methods and technologies applied in automated platforms for the setup of initial and follow-up crystallization experiments.

Shaw Stewart, P.

2014-05-28T23:59:59.000Z

259

Digital Control for Automation  

Science Journals Connector (OSTI)

GREATER YIELDS OF BETTER QUALITY PRODUCTS at reduced costs: That's one way to look at automations goal. And among instruments for automation are data reduction systems (others: continuous process analyzers, computer elements, and control mechanisms). ...

1956-04-02T23:59:59.000Z

260

AUTOMATION: Hints from OCAW  

Science Journals Connector (OSTI)

AUTOMATION: Hints from OCAW ... Labor and management need more, not less, collective bargaining in automated industries, he told a Houston, Tex., meeting of the Petro Group of the South Texas Section of the American Institute of Chemical Engineers. ...

1969-06-30T23:59:59.000Z

Note: This page contains sample records for the topic "open automated demand" 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

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

262

Theorie des langages Automates finis  

E-Print Network (OSTI)

Th´eorie des langages Automates finis Elise Bonzon http://web.mi.parisdescartes.fr/ bonzon/ elise.bonzon@parisdescartes.fr 1 / 51 Th´eorie des langages #12;Automates finis Automates finis Introduction Formalisation Repr´erations sur les automates Automates finis et langages 2 / 51 Th´eorie des langages #12;Automates finis

Bonzon, Elise

263

Modeling, Analysis, and Control of Demand Response Resources  

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

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

264

Multiplex automated genome engineering  

DOE Patents (OSTI)

The present invention relates to automated methods of introducing multiple nucleic acid sequences into one or more target cells.

Church, George M; Wang, Harris H; Isaacs, Farren J

2013-10-29T23:59:59.000Z

266

Congress Likes Automation  

Science Journals Connector (OSTI)

Congress Likes Automation ... Industry is generally aware of its responsibilities to worker replaced by automation, Congressional group concludes after broad study ... No NEW LEGISLATION or legislative changes are required to keep pace with the impact of automation on the national economy, concludes Rep. Wright Patman (D.-Tex.). ...

1955-11-07T23:59:59.000Z

267

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

268

RTP Customer Demand Response  

Science Journals Connector (OSTI)

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

Steven Braithwait; Michael O’Sheasy

2002-01-01T23:59:59.000Z

269

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

270

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

271

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

272

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

273

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

274

Joint Genome Institute's Automation Approach and History  

E-Print Network (OSTI)

Joint Genome Institute’s Automation Approach and Historythroughput environment; – automation does not necessarilyissues “Islands of Automation” – modular instruments with

Roberts, Simon

2006-01-01T23:59:59.000Z

275

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

276

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

277

Process Development Automation:? An Evolutionary Approach  

Science Journals Connector (OSTI)

Process Development Automation:? An Evolutionary Approach ... In contrast, standard laboratory equipment already contains some automated capabilities but is normally unused in our automation strategies. ... What Can Be Automated? ...

Mike Pollard

2001-04-27T23:59:59.000Z

278

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.

279

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.

280

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

Note: This page contains sample records for the topic "open automated demand" 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

Demand Response In California  

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

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

282

Automated material handling systems: an approach to robust layout planning of AMHS  

Science Journals Connector (OSTI)

The simulation-based layout planning of automated material handling systems (AMHS) for microelectronics and semiconductor manufacturing demands adequate simulation models. An approach for measuring and quantifying the AMHS layout performance of alternative ...

Roland Sturm; Joachim Seidelmann; Johann Dorner; Kevin Reddig

2003-12-01T23:59:59.000Z

283

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

284

Building Energy Management Open-Source Software Development ...  

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

able to optimize electricity usage to reduce energy consumption and help implement demand response (DR). This opens up demand side ancillary services markets and creates...

285

Convection automated logic oven control  

SciTech Connect

For the past few years, there has been a greater push to bring more automation to the cooling process. There have been attempts at automated cooking using a wide range of sensors and procedures, but with limited success. The authors have the answer to the automated cooking process; this patented technology is called Convection AutoLogic (CAL). The beauty of the technology is that it requires no extra hardware for the existing oven system. They use the existing temperature probe, whether it is an RTD, thermocouple, or thermistor. This means that the manufacturer does not have to be burdened with extra costs associated with automated cooking in comparison to standard ovens. The only change to the oven is the program in the central processing unit (CPU) on the board. As for its operation, when the user places the food into the oven, he or she is required to select a category (e.g., beef, poultry, or casseroles) and then simply press the start button. The CAL program then begins its cooking program. It first looks at the ambient oven temperature to see if it is a cold, warm, or hot start. CAL stores this data and then begins to look at the food`s thermal footprint. After CAL has properly detected this thermal footprint, it can calculate the time and temperature at which the food needs to be cooked. CAL then sets up these factors for the cooking stage of the program and, when the food has finished cooking, the oven is turned off automatically. The total time for this entire process is the same as the standard cooking time the user would normally set. The CAL program can also compensate for varying line voltages and detect when the oven door is opened. With all of these varying factors being monitored, CAL can produce a perfectly cooked item with minimal user input.

Boyer, M.A.; Eke, K.I. [Apollo U.S.A. Inc., Orlando, FL (United States)] [Apollo U.S.A. Inc., Orlando, FL (United States)

1998-03-01T23:59:59.000Z

286

Automation of hydroelectric power plants  

SciTech Connect

This paper describes how the author's company has been automating its hydroelectric generating plants. The early automations were achieved with a relay-type supervisory control system, relay logic, dc tachometer, and a pneumatic gate-position controller. While this system allowed the units to be started and stopped from a remote location, they were operated at an output that was preset by the pneumatic control at the generating site. The supervisory control system at the site provided such information as unit status, generator breaker status, and a binary coded decimal (BCD) value of the pond level. The generating units are started by energizing an on-site relay that sets the pneumatic gate controller to a preset value above the synchronous speed of the hydroelectric generator. The pneumatic controller then opens the water-wheel wicket gates to the preset startup position. As the hydroelectric generator starts to turn, the machine-mounted dc tachometer produces a voltage. At a dc voltage equivalent to synchronous speed, the generator main breaker closes, and a contact from the main breaker starts a field-delay timer. Within a few seconds, the field breaker closes. Once the cycle is complete, a relay changes the pneumatic setpoint to a preset operating point of about 8/10 wicket gate opening.

Grasser, H.S. (Consolidated Papers, Inc., Wisconsin Rapids, WI (US))

1990-03-01T23:59:59.000Z

287

Programming assistance based on contracts and modular verification in the automation domain  

Science Journals Connector (OSTI)

In industrial automation, control software often has to get changed and adapted by domain experts and end users who have no or only limited software development expertise. This results in high demands on programming environments with respect to supporting, ... Keywords: automation software, component-based systems, domain-specific language, end-user programming

Dominik Hurnaus; Herbert Prähofer

2010-03-01T23:59:59.000Z

288

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

289

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

290

CIMplementation™: Evaluating Manufacturing Automation  

E-Print Network (OSTI)

in the manufacturing organization if CIMplementation~* is to succeed. 1.0 INTRODUCTION There is much discussion today about Com puter Integrated Manufacturing (CIM). Automation tools like Computer Aided Design (CAD) systems, robots, automated material handling...~ Pressing the frontier of technology in one's own manufactur ing facility will not be without its pitfalls. Second, while automation engineers may be able to piece together the technological pieces of a CIM system, they cannot and do not evaluate...

Krakauer, J.

291

CES | OpenEI Community  

Open Energy Info (EERE)

23 January, 2013 - 13:57 The Consumer Electronics Show round-up CES electronics home automation Las Vegas OpenEI Smart Grid Every January, Las Vegas hosts the Consumer Electronics...

292

\\{HEMSs\\} and enabled demand response in electricity market: An overview  

Science Journals Connector (OSTI)

Abstract Traditional electricity grid offers demand side management (DSM) programs for industrial plants and commercial buildings; there is no such program for residential consumers because of the lack of effective automation tools and efficient information and communication technologies (ICTs). Smart Grid is, by definition, equipped with modern automation tools such as home energy management system (HEMS), and ICTs. HEMS is an intelligent system that performs planning, monitoring and control functions of the energy utilization within premises. It is intended to offer desirable demand response according to system conditions and price value signaled by the utility. HEMS enables smart appliances to counter demand response programs according to the comfort level and priority set by the consumer. Demand response can play a key role to ensure sustainable and reliable electricity supply by reducing future generation cost, electricity prices, CO2 emission and electricity consumption at peak times. This paper focuses on the review of \\{HEMSs\\} and enabled demand response (DR) programs in various scenarios as well as incorporates various DR architectures and models employed in the smart grid. A comprehensive case study along with simulations and numerical analysis has also been presented.

Aftab Ahmed Khan; Sohail Razzaq; Asadullah Khan; Fatima Khursheed; Owais

2015-01-01T23:59:59.000Z

293

IPv6 Home Automation.  

E-Print Network (OSTI)

?? Home automation is the systematic controlling and monitoring of everyday home devices such as lighting, heating, window blinds and appliances (both white goods and… (more)

Hådén, Thor

2009-01-01T23:59:59.000Z

294

Home Automation Using Elvin.  

E-Print Network (OSTI)

?? Home automation systems of today tend to be external solutions to an existing product that enable rather complex and expensive communications equipment to be… (more)

Malm, Anders

2005-01-01T23:59:59.000Z

295

Vehicle highway automation.  

E-Print Network (OSTI)

??Vehicle Highway Automation has been studied for several years but a practical system has not been possible because of technology limitations. New advances in sensing… (more)

Challa, Dinesh Kumar

2009-01-01T23:59:59.000Z

296

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

297

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

298

Laboratory automation-A case history  

Science Journals Connector (OSTI)

Laboratory automation-A case history ... This article describes an automated Raman spectrometer. ...

Bernard J. Bulkin; Edward H. Cole; Arthur Noguerola

1974-01-01T23:59:59.000Z

299

Autonomic Product Development Process Automation.  

E-Print Network (OSTI)

??Market globalization and mass customization requirements are forcing companies towards automation of their product development processes. Many task-specific software solutions provide localized automation. Coordinating these… (more)

Daley, John E.

2007-01-01T23:59:59.000Z

300

Automation Creates New Managers  

Science Journals Connector (OSTI)

AUTOMATION will bring about new and broader patterns in the use of labor and creation of a large group of managers of a new type, says E. W. Engstrom, senior executive vice president of the Radio Corporation of America. With automation, there will no ...

1955-12-12T23:59:59.000Z

Note: This page contains sample records for the topic "open automated demand" 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

Analysis of Residential Demand Response and Double-Auction Markets  

SciTech Connect

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

302

Price Server System for Automated Critical Peak Pricing  

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

Price Server System for Automated Critical Peak Pricing Price Server System for Automated Critical Peak Pricing Speaker(s): David S. Watson Date: June 3, 2005 - 12:00pm Location: 90-3148 Overview of current California Energy Commission (CEC)/Demand Response Research Center (DRRC) Auto-CPP project: This summer, some select commercial CPP customers of PG&E will have the option of joining the Automated Critical Peak Pricing pilot. The pilot will have the same tariffs as standard CPP programs, but will include an added feature: automated shedding of electric loads. Through use of the Price Server System, day-ahead CPP event signals initiated by PG&E will ultimately cause electric loads to be automatically curtailed on commercial customer sites. These optional predetermined shed strategies will occur without

303

New Services for Building Maintenance Enabled by Building Automation  

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

New Services for Building Maintenance Enabled by Building Automation New Services for Building Maintenance Enabled by Building Automation Systems Speaker(s): Heikki Ihasalo Date: May 17, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Peng Xu Today's building automation systems enable building systems integration and access to information from a variety of sources, e.g. fire alarm systems, access control, security systems, lighting and control systems. With the help of Internet technology and XML (Extensible Markup Language) building automation systems can also connect to other enterprise\ applications such as facility management software, maintenance management systems, ERP or financial systems. New applications are also emerging to manage energy consumption in buildings, for example demand response and fault detection

304

Demand Response | Department of Energy  

NLE Websites -- All DOE Office Websites (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

305

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

306

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

307

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

308

Cognitive Engineering Automation and Human  

E-Print Network (OSTI)

· Home automation · Robotics · Unmanned vehicles (UAVs and UGVs) · Drug design/Molecular geneticsCognitive Engineering PSYC 530 Automation and Human Performance Raja Parasuraman #12;Overview Automation-Related Accidents Levels and Stages of Automation Information Acquisition and Analysis Decision

Parasuraman, Raja

309

Automation of Feynman Diagram Evaluation  

E-Print Network (OSTI)

A C-program DIANA (DIagram ANAlyser) for the automation of Feynman diagram evaluations is presented.

M. Tentyukov; J. Fleischer

1998-02-04T23:59:59.000Z

310

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

311

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

312

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

313

Overview of Demand Response  

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

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

314

Residential Demand Response under Uncertainty  

Science Journals Connector (OSTI)

This paper considers a residential market with real-time electricity pricing and flexible electricity consumption profiles for customers. Such a market raises an optimisation problem for home automation systems w...

Paul Scott; Sylvie Thiébaux…

2013-01-01T23:59:59.000Z

315

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

316

Shielded cells transfer automation  

SciTech Connect

Nuclear waste from shielded cells is removed, packaged, and transferred manually in many nuclear facilities. Radiation exposure is absorbed by operators during these operations and limited only through procedural controls. Technological advances in automation using robotics have allowed a production waste removal operation to be automated to reduce radiation exposure. The robotic system bags waste containers out of glove box and transfers them to a shielded container. Operators control the system outside the system work area via television cameras. 9 figures.

Fisher, J J

1984-01-01T23:59:59.000Z

317

Automated Lattice Perturbation Theory  

SciTech Connect

I review recent developments in automated lattice perturbation theory. Starting with an overview of lattice perturbation theory, I focus on the three automation packages currently "on the market": HiPPy/HPsrc, Pastor and PhySyCAl. I highlight some recent applications of these methods, particularly in B physics. In the final section I briefly discuss the related, but distinct, approach of numerical stochastic perturbation theory.

Monahan, Christopher

2014-11-01T23:59:59.000Z

318

Development of Building Automation and Control Systems  

E-Print Network (OSTI)

A design flow for building automation and control systems,’’Development of Building Automation and Control Systems Yangdesign of the build- ing automation system (including the

Yang, Yang; Zhu, Qi; Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

2012-01-01T23:59:59.000Z

319

Multiple Filtering Strategy for the Automated Detection of Ethanol by Passive Fourier Transform Infrared Spectrometry  

Science Journals Connector (OSTI)

Digital filtering methods are evaluated for use in the automated detection of ethanol from passive Fourier transform infrared (FT-IR) data collected during laboratory and open-air...

Idwasi, Patrick O; Small, Gary W; Combs, Roger J; Knapp, Robert B; Kroutil, Robert T

2001-01-01T23:59:59.000Z

320

E-Print Network 3.0 - automating ontological annotation Sample...  

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

results for: automating ontological annotation Page: << < 1 2 3 4 5 > >> 1 The Open Biomedical Annotator Clement Jonquet, PhD1 Summary: turned to ontologies and terminologies to...

Note: This page contains sample records for the topic "open automated demand" 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

Demand Response Programs, 6. edition  

SciTech Connect

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

322

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

323

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

324

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

325

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

326

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

327

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

328

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

329

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

330

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

331

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

332

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

333

Automation and the situation awareness of drivers in agricultural semi-autonomous vehicles  

Science Journals Connector (OSTI)

The effects of in-vehicle automation and driving assistant systems on the situation awareness of drivers have been the subject of much research with the implications of automation in such man-machine systems being identified. With the introduction of advanced automated systems in agricultural machinery, farmers are now working with semi-autonomous vehicles. A human factors perspective is needed to ensure the safe and efficient operation of such systems. This simulator study investigated the effects of automating vehicle steering and implement control and monitoring task automation on the situation awareness of drivers. Experiments were conducted using a tractor driving simulator located in the Agricultural Ergonomics Laboratory at the University of Manitoba. Thirty young, experienced tractor drivers participated in this study. It was found that implement control and monitoring task automation significantly affected the situation awareness of operators. Situation awareness increased as the level of automation support increased although the highest level of automation, where the participants were removed from the task loop, resulted in low situation awareness at a level similar to the condition with no automation support. The highest level of situation awareness was observed when the simulator suggested the required action to be taken by the operator. Vehicle steering task automation reduced the attentional demand of the task.

Behzad Bashiri; Danny D. Mann

2014-01-01T23:59:59.000Z

334

Enhanced training effectiveness using automated student assessment.  

SciTech Connect

Training simulators have become increasingly popular tools for instructing humans on performance in complex environments. However, the question of how to provide individualized and scenario-specific assessment and feedback to students remains largely an open question. In this work, we follow-up on previous evaluations of the Automated Expert Modeling and Automated Student Evaluation (AEMASE) system, which automatically assesses student performance based on observed examples of good and bad performance in a given domain. The current study provides an empirical evaluation of the enhanced training effectiveness achievable with this technology. In particular, we found that students given feedback via the AEMASE-based debrief tool performed significantly better than students given only instructor feedback.

Forsythe, James Chris

2010-05-01T23:59:59.000Z

335

AUTOMATED CRITICAL PEAK PRICING FIELD TESTS  

E-Print Network (OSTI)

AUTOMATED CRITICAL PEAK PRICING FIELD TESTS: 2006 PROGRAM DESCRIPTION AND RESULTS APPENDICES.................................................................................... 5 B.2. DR Automation Server User Guide

336

Development of Building Automation and Control Systems  

E-Print Network (OSTI)

Johnson Controls, 70 in Automated Logic EIKON language, 42systems developed by Automated Logic. Similarly as shown in

Yang, Yang; Zhu, Qi; Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

2012-01-01T23:59:59.000Z

337

HIGHLY AUTOMATED MACROMOLECULAR  

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

AUTOMATED MACROMOLECULAR AUTOMATED MACROMOLECULAR CRYSTALLOGRAPHY BEAMLINE (AMX) Group Leader: Dieter Schneider Proposal Team: M. Allaire 1 , L. Berman 1 , M. Chance 2 , W. Hendrickson 3 , A. Héroux 1 , J. Jakoncic 1 , A. Orville 1 , H. Robinson 1 , D. Schneider 1 , W. Shi 2 , A. Soares 1 , V. Stojanoff 1 , R. Sweet 1 1 Brookhaven National Laboratory, 2 Case Western Reserve University, 3 Columbia University MISSION APPLICATIONS AND CAPABILITIES ADDITIONAL INFORMATION * AMX at NSLS-II will provide structural biologists with ready access to an advanced macromolecular crystallography (MX) beamline for the elucidation of structure and function of macromolecular complexes. * Its high flux, tunable energy, and natively small focal spot will make it a crystallographer's preferred beamline. * Its high degree of automation will provide a high throughput

338

Automation Status | Department of Energy  

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

Automation Status Automation Status Presented at the NREL Hydrogen and Fuel Cell Manufacturing R&D Workshop in Washington, DC, August 11-12, 2011. mfg2011plenarysperrick.pdf More...

339

Automation on the laboratory bench  

Science Journals Connector (OSTI)

Automation on the laboratory bench ... In designing an automation kit the authors attempted to give chemistry a system which is versatile and easy to apply in taking over the boring and difficult task of controlling parameters manually. ...

M. Legrand; A. Foucard

1978-01-01T23:59:59.000Z

340

Las Vegas | OpenEI Community  

Open Energy Info (EERE)

23 January, 2013 - 13:57 The Consumer Electronics Show round-up CES electronics home automation Las Vegas OpenEI Smart Grid Every January, Las Vegas hosts the Consumer Electronics...

Note: This page contains sample records for the topic "open automated demand" 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

Harnessing the power of demand  

SciTech Connect

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

342

China, India demand cushions prices  

SciTech Connect

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

343

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

344

Demand Activated Manufacturing Architecture  

SciTech Connect

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

345

Lime Energy formerly Electric City Corporation | Open Energy Information  

Open Energy Info (EERE)

Energy formerly Electric City Corporation Energy formerly Electric City Corporation Jump to: navigation, search Name Lime Energy (formerly Electric City Corporation) Place Elk Grove Village, Illinois Zip 60007 Product Developer, manufacturer and integrator of energy savings technologies and building automation systems. Specialist in demand response systems. References Lime Energy (formerly Electric City Corporation)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Lime Energy (formerly Electric City Corporation) is a company located in Elk Grove Village, Illinois . References ↑ "Lime Energy (formerly Electric City Corporation)" Retrieved from "http://en.openei.org/w/index.php?title=Lime_Energy_formerly_Electric_City_Corporation&oldid=348375"

346

Automation: Congress' Next Probe  

Science Journals Connector (OSTI)

THE stage is being set for a Congressional investigation of the trend toward automation in industry. From all indications, this could become one of the hottest subjects in labor-management relations during the coming year.Formal hearings have been ...

1955-08-29T23:59:59.000Z

347

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

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

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

348

Demand Response Research in Spain  

NLE Websites -- All DOE Office Websites (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.

349

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

350

Full Rank Rational Demand Systems  

E-Print Network (OSTI)

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

LaFrance, Jeffrey T; Pope, Rulon D.

2006-01-01T23:59:59.000Z

351

Demand Forecasting of New Products  

E-Print Network (OSTI)

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

Sun, Yu

352

Demand Response and Energy Efficiency  

E-Print Network (OSTI)

Demand Response & Energy Efficiency International Conference for Enhanced Building Operations ESL-IC-09-11-05 Proceedings of the Ninth International Conference for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 2 ?Less than 5..., 2009 4 An Innovative Solution to Get the Ball Rolling ? Demand Response (DR) ? Monitoring Based Commissioning (MBCx) EnerNOC has a solution involving two complementary offerings. ESL-IC-09-11-05 Proceedings of the Ninth International Conference...

353

Demand Response Spinning Reserve Demonstration  

SciTech Connect

The Demand Response Spinning Reserve project is a pioneeringdemonstration of how existing utility load-management assets can providean important electricity system reliability resource known as spinningreserve. Using aggregated demand-side resources to provide spinningreserve will give grid operators at the California Independent SystemOperator (CAISO) and Southern California Edison (SCE) a powerful, newtool to improve system reliability, prevent rolling blackouts, and lowersystem operating costs.

Eto, Joseph H.; Nelson-Hoffman, Janine; Torres, Carlos; Hirth,Scott; Yinger, Bob; Kueck, John; Kirby, Brendan; Bernier, Clark; Wright,Roger; Barat, A.; Watson, David S.

2007-05-01T23:59:59.000Z

354

Opportunities for Energy Efficiency and Demand Response in the California  

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

Opportunities for Energy Efficiency and Demand Response in the California Opportunities for Energy Efficiency and Demand Response in the California Cement Industry Title Opportunities for Energy Efficiency and Demand Response in the California Cement Industry Publication Type Report LBNL Report Number LBNL-4849E Year of Publication 2010 Authors Olsen, Daniel, Sasank Goli, David Faulkner, and Aimee T. McKane Date Published 12/2010 Publisher CEC/LBNL Keywords cement industry, cement sector, demand response, electricity use, energy efficiency, market sectors, mineral manufacturing, technologies Abstract This study examines the characteristics of cement plants and their ability to shed or shift load to participate in demand response (DR). Relevant factors investigated include the various equipment and processes used to make cement, the operational limitations cement plants are subject to, and the quantities and sources of energy used in the cement-making process. Opportunities for energy efficiency improvements are also reviewed. The results suggest that cement plants are good candidates for DR participation. The cement industry consumes over 400 trillion Btu of energy annually in the United States, and consumes over 150 MW of electricity in California alone. The chemical reactions required to make cement occur only in the cement kiln, and intermediate products are routinely stored between processing stages without negative effects. Cement plants also operate continuously for months at a time between shutdowns, allowing flexibility in operational scheduling. In addition, several examples of cement plants altering their electricity consumption based on utility incentives are discussed. Further study is needed to determine the practical potential for automated demand response (Auto-DR) and to investigate the magnitude and shape of achievable sheds and shifts.

355

National Action Plan on Demand Response  

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

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

356

Automated gas chromatography  

DOE Patents (OSTI)

An apparatus and process for the continuous, near real-time monitoring of low-level concentrations of organic compounds in a liquid, and, more particularly, a water stream. A small liquid volume of flow from a liquid process stream containing organic compounds is diverted by an automated process to a heated vaporization capillary where the liquid volume is vaporized to a gas that flows to an automated gas chromatograph separation column to chromatographically separate the organic compounds. Organic compounds are detected and the information transmitted to a control system for use in process control. Concentrations of organic compounds less than one part per million are detected in less than one minute. 7 figs.

Mowry, C.D.; Blair, D.S.; Rodacy, P.J.; Reber, S.D.

1999-07-13T23:59:59.000Z

357

Automated genotyping of dinucleotide repeat markers  

SciTech Connect

The dinucleotide repeats (i.e., microsatellites) such as CA-repeats are a highly polymorphic, highly abundant class of PCR-amplifiable markers that have greatly streamlined genetic mapping experimentation. It is expected that over 30,000 such markers (including tri- and tetranucleotide repeats) will be characterized for routine use in the next few years. Since only size determination, and not sequencing, is required to determine alleles, in principle, dinucleotide repeat genotyping is easily performed on electrophoretic gels, and can be automated using DNA sequencers. Unfortunately, PCR stuttering with these markers generates not one band for each allele, but a pattern of bands. Since closely spaced alleles must be disambiguated by human scoring, this poses a key obstacle to full automation. We have developed methods that overcome this obstacle. Our model is that the observed data is generated by arithmetic superposition (i.e., convolution) of multiple allele patterns. By quantitatively measuring the size of each component band, and exploiting the unique stutter pattern associated with each marker, closely spaced alleles can be deconvolved; this unambiguously reconstructs the {open_quotes}true{close_quotes} allele bands, with stutter artifact removed. We used this approach in a system for automated diagnosis of (X-linked) Duchenne muscular dystrophy; four multiplexed CA-repeats within the dystrophin gene were assayed on a DNA sequencer. Our method accurately detected small variations in gel migration that shifted the allele size estimate. In 167 nonmutated alleles, 89% (149/167) showed no size variation, 9% (15/167) showed 1 bp variation, and 2% (3/167) showed 2 bp variation. We are currently developing a library of dinucleotide repeat patterns; together with our deconvolution methods, this library will enable fully automated genotyping of dinucleotide repeats from sizing data.

Perlin, M.W.; Hoffman, E.P. [Carnegie Mellon Univ., Pittsburgh, PA (United States)]|[Univ. of Pittsburgh, PA (United States)

1994-09-01T23:59:59.000Z

358

Demand Response Projects: Technical and Market Demonstrations  

E-Print Network (OSTI)

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

359

Automated Job Hazards Analysis  

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

AJHA Program - The Automated Job Hazard Analysis (AJHA) computer program is part of an enhanced work planning process employed at the Department of Energy's Hanford worksite. The AJHA system is routinely used to performed evaluations for medium and high risk work, and in the development of corrective maintenance work packages at the site. The tool is designed to ensure that workers are fully involved in identifying the hazards, requirements, and controls associated with tasks.

360

Facilitating Renewable Integration by Demand Response  

Science Journals Connector (OSTI)

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

Juan M. Morales; Antonio J. Conejo…

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "open automated demand" 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

Demand Response as a System Reliability Resource  

E-Print Network (OSTI)

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

Joseph, Eto

2014-01-01T23:59:59.000Z

362

Demand response-enabled residential thermostat controls.  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

363

Value of Demand Response -Introduction Klaus Skytte  

E-Print Network (OSTI)

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

364

World Energy Use — Trends in Demand  

Science Journals Connector (OSTI)

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

Randy Hudson

1996-01-01T23:59:59.000Z

365

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

366

Balancing of Energy Supply and Residential Demand  

Science Journals Connector (OSTI)

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

Martin Bock; Grit Walther

2014-01-01T23:59:59.000Z

367

Report blasts Patent Office automation  

Science Journals Connector (OSTI)

Report blasts Patent Office automation ... The Department of Commerce is moving quickly to implement a report highly critical of the Patent & Trademark Office's efforts to fully automate its patent search and retrieval operations. ... An Industry Review Panel found that the current automated patent system is over-designed and as a result needs a redundant communications network and redundant storage of all patent images at high resolution. ...

JANICE LONG

1988-05-30T23:59:59.000Z

368

On-Demand Component Deployment in the UPnP Device Architecture  

E-Print Network (OSTI)

-- The standardization of networking home appliances fosters home automation joining the mass market. Controlling integrated solution covering all the types of appliances (HVAC, shutters, burglar and fire alarm, patient' healthcare monitors, etc) to their customer. The beginning of more widespread opened norms and standards as X

Donsez, Didier

369

Winter Demand Impacted by Weather  

Gasoline and Diesel Fuel Update (EIA)

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

370

Turkey's energy demand and supply  

SciTech Connect

The aim of the present article is to investigate Turkey's energy demand and the contribution of domestic energy sources to energy consumption. Turkey, the 17th largest economy in the world, is an emerging country with a buoyant economy challenged by a growing demand for energy. Turkey's energy consumption has grown and will continue to grow along with its economy. Turkey's energy consumption is high, but its domestic primary energy sources are oil and natural gas reserves and their production is low. Total primary energy production met about 27% of the total primary energy demand in 2005. Oil has the biggest share in total primary energy consumption. Lignite has the biggest share in Turkey's primary energy production at 45%. Domestic production should be to be nearly doubled by 2010, mainly in coal (lignite), which, at present, accounts for almost half of the total energy production. The hydropower should also increase two-fold over the same period.

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

2009-07-01T23:59:59.000Z

371

International Oil Supplies and Demands  

SciTech Connect

The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

Not Available

1991-09-01T23:59:59.000Z

372

International Oil Supplies and Demands  

SciTech Connect

The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

Not Available

1992-04-01T23:59:59.000Z

373

Virtual Machine in Automation Projects.  

E-Print Network (OSTI)

?? Virtual machine, as an engineering tool, has recently been introduced into automation projects in Tetra Pak Processing System AB. The goal of this paper… (more)

Xing, Xiaoyuan

2010-01-01T23:59:59.000Z

374

Demand Response as a System Reliability Resource  

E-Print Network (OSTI)

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

Joseph, Eto

2014-01-01T23:59:59.000Z

375

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

California Long-term Energy Efficiency Strategic Plan. B-2 Coordination of Energy Efficiency and Demand Response> B-4 Coordination of Energy Efficiency and Demand Response

Goldman, Charles

2010-01-01T23:59:59.000Z

376

Demand Response - Policy | Department of Energy  

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

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

377

Sandia National Laboratories: demand response inverter  

NLE Websites -- All DOE Office Websites (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,...

378

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

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

Goldman, Charles

2010-01-01T23:59:59.000Z

379

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

380

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

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

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

Note: This page contains sample records for the topic "open automated demand" 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

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

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

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

382

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

383

AUTOMATED ~.JELDING -RESEARCH NEEDS T. H. Eagar  

E-Print Network (OSTI)

) ) ..... . '. AUTOMATED ~.JELDING - RESEARCH NEEDS T. H. Eagar Department of Naterials Science and Engineering Nassachusetts Institute of Technology Cambridge, Hassachusetts 02139 Increased use of automated is necessary in order to develop reliable automated welding techniques. #12;Introduction During the past decade

Eagar, Thomas W.

384

Automation improves personal effectiveness while reducing drudgery  

Science Journals Connector (OSTI)

Automation improves personal effectiveness while reducing drudgery ... "The term automation ," says one Department of Labor official with undisguised feeling, "is a hopeless semantic jungle." ... One industry man defines automation very loosely as any way of doing things better with machines. ...

1966-03-14T23:59:59.000Z

385

Water demand management in Kuwait  

E-Print Network (OSTI)

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

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

2006-01-01T23:59:59.000Z

386

Automated fiber pigtailing machine  

DOE Patents (OSTI)

The Automated Fiber Pigtailing Machine (AFPM) aligns and attaches optical fibers to optoelectronic (OE) devices such as laser diodes, photodiodes, and waveguide devices without operator intervention. The so-called pigtailing process is completed with sub-micron accuracies in less than 3 minutes. The AFPM operates unattended for one hour, is modular in design and is compatible with a mass production manufacturing environment. This machine can be used to build components which are used in military aircraft navigation systems, computer systems, communications systems and in the construction of diagnostics and experimental systems. 26 figs.

Strand, O.T.; Lowry, M.E.

1999-01-05T23:59:59.000Z

387

Chapter 11 - Industrial Automation  

Science Journals Connector (OSTI)

The industrial systems of the future are complex systems composed of vast numbers of devices interacting with each other and with enterprise systems. Modern technologies such as web services, service-oriented architectures (SOAs), the cloud, etc. make it possible for sophisticated infrastructures to emerge in future factories. We take a closer look at key visionary aspects that are expected to be introduced in the industrial automation domain in the years to come, and the pivotal role of M2M and IoT. Additionally, we investigate the impact on the collaboration of machines among themselves and with enterprise systems and their services.

Jan Höller; Vlasios Tsiatsis; Catherine Mulligan; Stamatis Karnouskos; Stefan Avesand; David Boyle

2014-01-01T23:59:59.000Z

388

Automating dipole subtraction  

E-Print Network (OSTI)

We report on automating the Catani-Seymour dipole subtraction which is a general procedure to treat infrared divergences in real emission processes at next-to-leading order in QCD. The automatization rests on three essential steps: the creation of the dipole terms, the calculation of the color linked squared Born matrix elements, and the evaluation of different helicity amplitudes. The routines have been tested for a number of complex processes, such as the real emission process gg --> t anti-t ggg.

K. Hasegawa; S. Moch; P. Uwer

2008-07-23T23:59:59.000Z

389

Automation in X-Ray Crystallography  

Science Journals Connector (OSTI)

Automation in X-Ray Crystallography ... But in the past few years, automation procedures have been applied to intrinsically superior experimental methods. ...

S.C. ABRAHAMS

1963-06-03T23:59:59.000Z

390

Understanding roi metrics for software test automation.  

E-Print Network (OSTI)

??Software test automation is widely accepted as an efficient software testing technique. However, automation has failed to deliver the expected productivity more often than not.… (more)

Jayachandran, Naveen

2005-01-01T23:59:59.000Z

391

Integrated, Automated Distributed Generation Technologies Demonstration  

SciTech Connect

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 Department’s 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

392

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

Science Journals Connector (OSTI)

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

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

2011-11-01T23:59:59.000Z

393

Demand Response as a System Reliability Resource  

E-Print Network (OSTI)

43 Figure 4: Tiefort Substation: Typical load on PLP testingsystems, and the substation feeder metering associated withThese use cases involved: substation automation, advanced

Joseph, Eto

2014-01-01T23:59:59.000Z

394

The alchemy of demand response: turning demand into supply  

SciTech Connect

Paying customers to refrain from purchasing products they want seems to run counter to the normal operation of markets. Demand response should be interpreted not as a supply-side resource but as a secondary market that attempts to correct the misallocation of electricity among electric users caused by regulated average rate tariffs. In a world with costless metering, the DR solution results in inefficiency as measured by deadweight losses. (author)

Rochlin, Cliff

2009-11-15T23:59:59.000Z

395

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

396

Assessment of Demand Response and Advanced Metering  

E-Print Network (OSTI)

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

Tesfatsion, Leigh

397

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.

398

Demand Side Management in Rangan Banerjee  

E-Print Network (OSTI)

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

Banerjee, Rangan

399

Building Technologies Office: Integrated Predictive Demand Response  

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

Integrated Predictive Integrated Predictive Demand Response Controller Research Project to someone by E-mail Share Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Facebook Tweet about Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Twitter Bookmark Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Google Bookmark Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Delicious Rank Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Digg Find More places to share Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on AddThis.com...

400

Incorporating Demand Response into Western Interconnection Transmission Planning  

E-Print Network (OSTI)

Aggregator Programs. Demand Response Measurement andIncorporating Demand Response into Western Interconnection13 Demand Response Dispatch

Satchwell, Andrew

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "open automated demand" 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

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network (OSTI)

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

McKane, Aimee T.

2009-01-01T23:59:59.000Z

402

Global energy demand to 2060  

SciTech Connect

The projection of global energy demand to the year 2060 is of particular interest because of its relevance to the current greenhouse concerns. The long-term growth of global energy demand in the time scale of climatic change has received relatively little attention in the public discussion of national policy alternatives. The sociological, political, and economic issues have rarely been mentioned in this context. This study emphasizes that the two major driving forces are global population growth and economic growth (gross national product per capita), as would be expected. The modest annual increases assumed in this study result in a year 2060 annual energy use of >4 times the total global current use (year 1986) if present trends continue, and >2 times with extreme efficiency improvements in energy use. Even assuming a zero per capita growth for energy and economics, the population increase by the year 2060 results in a 1.5 times increase in total annual energy use.

Starr, C. (Electric Power Research Institute, Palo Alto, CA (USA))

1989-01-01T23:59:59.000Z

403

Honeywell modular automation system acceptance test report  

SciTech Connect

This document provides the results of the Acceptance Test Procedure for the Honeywell Modular Automation System.

Cunningham, L.T., Westinghouse Hanford

1996-06-14T23:59:59.000Z

404

The Research of an Intelligent Open CNC System  

Science Journals Connector (OSTI)

Nowadays, manufacturing enterprises have come to an agreement that open architecture controllers should be set up. Demands for increased control capabilities require the open computer numeric control (CNC) to com...

Jing Zhang; Lisong Wang; Sheng Li…

2002-01-01T23:59:59.000Z

405

Automated Morphology Analysis of Nanoparticles  

E-Print Network (OSTI)

of this dissertation is to develop automated morphology analysis methods. Morphology analysis is comprised of three tasks: separate individual particles from an agglomerate of overlapping nano-objects (image segmentation); infer the particle's missing contours (shape...

Park, Chiwoo

2012-10-19T23:59:59.000Z

406

Aspects of automation mode confusion  

E-Print Network (OSTI)

Complex systems such as commercial aircraft are difficult for operators to manage. Designers, intending to simplify the interface between the operator and the system, have introduced automation to assist the operator. In ...

Wheeler, Paul H. (Paul Harrison)

2007-01-01T23:59:59.000Z

407

Technology modernization assessment flexible automation  

SciTech Connect

The objectives of this report are: to present technology assessment guidelines to be considered in conjunction with defense regulations before an automation project is developed to give examples showing how assessment guidelines may be applied to a current project to present several potential areas where automation might be applied successfully in the depot system. Depots perform primarily repair and remanufacturing operations, with limited small batch manufacturing runs. While certain activities (such as Management Information Systems and warehousing) are directly applicable to either environment, the majority of applications will require combining existing and emerging technologies in different ways, with the special needs of depot remanufacturing environment. Industry generally enjoys the ability to make revisions to its product lines seasonally, followed by batch runs of thousands or more. Depot batch runs are in the tens, at best the hundreds, of parts with a potential for large variation in product mix; reconfiguration may be required on a week-to-week basis. This need for a higher degree of flexibility suggests a higher level of operator interaction, and, in turn, control systems that go beyond the state of the art for less flexible automation and industry in general. This report investigates the benefits and barriers to automation and concludes that, while significant benefits do exist for automation, depots must be prepared to carefully investigate the technical feasibility of each opportunity and the life-cycle costs associated with implementation. Implementation is suggested in two ways: (1) develop an implementation plan for automation technologies based on results of small demonstration automation projects; (2) use phased implementation for both these and later stage automation projects to allow major technical and administrative risk issues to be addressed. 10 refs., 2 figs., 2 tabs. (JF)

Bennett, D.W.; Boyd, D.R.; Hansen, N.H.; Hansen, M.A.; Yount, J.A.

1990-12-01T23:59:59.000Z

408

The 'Problem' with Automation: Inappropriate Feedback and Interaction, not 'Over-Automation'  

Science Journals Connector (OSTI)

12 April 1990 research-article The 'Problem' with Automation: Inappropriate Feedback and Interaction, not 'Over-Automation' D. A. Norman As automation increasingly takes its place in industry, especially high risk industry...

1990-01-01T23:59:59.000Z

409

Type of automation failure: the effects on trust and reliance in automation.  

E-Print Network (OSTI)

??Past automation research has focused primarily on machine-related factors (e.g., automation reliability) and human-related factors (e.g., accountability). Other machine-related factors such as type of automation… (more)

Johnson, Jason D.

2004-01-01T23:59:59.000Z

410

Demand Side Bidding. Final Report  

SciTech Connect

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

411

Demand Response Programs Oregon Public Utility Commission  

E-Print Network (OSTI)

Demand Response Programs Oregon Public Utility Commission January 6, 2005 Mike Koszalka Director;Demand Response Results, 2004 Load Control ­ Cool Keeper ­ ID Irrigation Load Control Price Responsive

412

Industrial Equipment Demand and Duty Factors  

E-Print Network (OSTI)

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

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

413

ConservationandDemand ManagementPlan  

E-Print Network (OSTI)

; Introduction Ontario Regulation 397/11 under the Green Energy Act 2009 requires public agencies and implement energy Conservation and Demand Management (CDM) plans starting in 2014. Requirementsofthe ConservationandDemand ManagementPlan 2014-2019 #12

Abolmaesumi, Purang

414

Energy Demand Analysis at a Disaggregated Level  

Science Journals Connector (OSTI)

The purpose of this chapter is to consider energy demand at the fuel level or at the ... . This chapter first presents the disaggregation of energy demand, discusses the information issues and introduces framewor...

Subhes C. Bhattacharyya

2011-01-01T23:59:59.000Z

415

Seasonal temperature variations and energy demand  

Science Journals Connector (OSTI)

This paper presents an empirical study of the relationship between residential energy demand and temperature. Unlike previous studies in this ... different regions and to the contrasting effects on energy demand ...

Enrica De Cian; Elisa Lanzi; Roberto Roson

2013-02-01T23:59:59.000Z

416

Automation World Features New White Paper on Wireless Security...  

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

Automation World Features New White Paper on Wireless Security Automation World Features New White Paper on Wireless Security The April 2009 issue of Automation World magazine...

417

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

418

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

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

419

Demand Response Resources in Pacific Northwest  

E-Print Network (OSTI)

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

420

Leveraging gamification in demand dispatch systems  

Science Journals Connector (OSTI)

Modern demand-side management techniques are an integral part of the envisioned smart grid paradigm. They require an active involvement of the consumer for an optimization of the grid's efficiency and a better utilization of renewable energy sources. ... Keywords: demand response, demand side management, direct load control, gamification, smart grid, sustainability

Benjamin Gnauk; Lars Dannecker; Martin Hahmann

2012-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "open automated demand" 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

Demand Response and Ancillary Services September 2008  

E-Print Network (OSTI)

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

422

THE STATE OF DEMAND RESPONSE IN CALIFORNIA  

E-Print Network (OSTI)

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

423

THE STATE OF DEMAND RESPONSE IN CALIFORNIA  

E-Print Network (OSTI)

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

424

Modeling Energy Demand Aggregators for Residential Consumers  

E-Print Network (OSTI)

The current world-wide increase of energy demand cannot be matched by energy production and power grid updateModeling Energy Demand Aggregators for Residential Consumers G. Di Bella, L. Giarr`e, M. Ippolito, A. Jean-Marie, G. Neglia and I. Tinnirello § January 2, 2014 Abstract Energy demand aggregators

Paris-Sud XI, Université de

425

Response to changes in demand/supply  

E-Print Network (OSTI)

Response to changes in demand/supply through improved marketing 21.2 #12;#12;111 Impacts of changes log demand in 1995. The composites board mills operating in Korea took advantage of flexibility environment changes on the production mix, some economic indications, statistics of demand and supply of wood

426

Response to changes in demand/supply  

E-Print Network (OSTI)

Response to changes in demand/supply through improved marketing 21.2 http with the mill consuming 450 000 m3 , amounting to 30% of total plywood log demand in 1995. The composites board, statistics of demand and supply of wood, costs and competitiveness were analysed. The reactions

427

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

Accurate forecasting of energy demand plays a key role for utility companies, network operators, producers and suppliers of energy. Demand forecasts are utilized for unit commitment, market bidding, network operation and maintenance, integration of renewable ... Keywords: analytics, energy demand forecasting, machine learning, renewable energy sources, smart grids, smart meters

Mathieu Sinn

2014-06-01T23:59:59.000Z

428

Smart Buildings Using Demand Response March 6, 2011  

E-Print Network (OSTI)

Smart Buildings Using Demand Response March 6, 2011 Sila Kiliccote Deputy, Demand Response Division Lawrence Berkeley National Laboratory Demand Response Research Center 1 #12;Presentation Outline Demand Response Research Center ­ DRRC Vision and Research Portfolio Introduction to Demand

Kammen, Daniel M.

429

Disciplined agility for process control & automation ; Disciplined agility for process control and automation .  

E-Print Network (OSTI)

??Process automation vendors must consider agility as a basis to gain a competitive edge in innovation. Process Automation systems can impact the operating cost of… (more)

Tibazarwa, Augustine

2009-01-01T23:59:59.000Z

430

Trust in automated systems the effect of automation level on trust calibration .  

E-Print Network (OSTI)

??Automated systems perform functions that were previously executed by a human. When using automation, the role of the human changes from operator to supervisor. For… (more)

Walliser, James C.

2011-01-01T23:59:59.000Z

431

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

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

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

432

Energy demand and population changes  

SciTech Connect

Since World War II, US energy demand has grown more rapidly than population, so that per capita consumption of energy was about 60% higher in 1978 than in 1947. Population growth and the expansion of per capita real incomes have led to a greater use of energy. The aging of the US population is expected to increase per capita energy consumption, despite the increase in the proportion of persons over 65, who consume less energy than employed persons. The sharp decline in the population under 18 has led to an expansion in the relative proportion of population in the prime-labor-force age groups. Employed persons are heavy users of energy. The growth of the work force and GNP is largely attributable to the growing participation of females. Another important consequence of female employment is the growth in ownership of personal automobiles. A third factor pushing up labor-force growth is the steady influx of illegal aliens.

Allen, E.L.; Edmonds, J.A.

1980-12-01T23:59:59.000Z

433

Open Access: From Myth to Paradox  

ScienceCinema (OSTI)

True open access to scientific publications not only gives readers the possibility to read articles without paying subscription, but also makes the material available for automated ingestion and harvesting by 3rd parties. Once articles and associated data become universally treatable as computable objects, openly available to 3rd party aggregators and value-added services, what new services can we expect, and how will they change the way that researchers interact with their scholarly communications infrastructure? I will discuss straightforward applications of existing ideas and services, including citation analysis, collaborative filtering, external database linkages, interoperability, and other forms of automated markup, and speculate on the sociology of the next generation of users.

Paul Ginsparg

2010-01-08T23:59:59.000Z

434

Electricity demand analysis - unconstrained vs constrained scenarios  

Science Journals Connector (OSTI)

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

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

2003-01-01T23:59:59.000Z

435

Measurement and Verification for Demand Response  

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

Measurement and Verification for Measurement and Verification for Demand Response Prepared for the National Forum on the National Action Plan on Demand Response: Measurement and Verification Working Group AUTHORS: Miriam L. Goldberg & G. Kennedy Agnew-DNV KEMA Energy and Sustainability National Forum of the National Action Plan on Demand Response Measurement and Verification for Demand Response was developed to fulfill part of the Implementation Proposal for The National Action Plan on Demand Response, a report to Congress jointly issued by the U.S. Department of Energy (DOE) and the Federal Energy Regulatory Commission (FERC) in June 2011. Part of that implementation proposal called for a "National Forum" on demand response to be conducted by DOE and FERC. Given that demand response has matured, DOE and FERC decided that a "virtual" project

436

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

E-Print Network (OSTI)

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

Sastry, S. Shankar

437

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

E-Print Network (OSTI)

that energy intensity is not necessarily a good indicator of energy efficiency, whereas by controllingUS Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach Massimo www.cepe.ethz.ch #12;US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier

438

Chapter 8 - Automation and Monitoring  

Science Journals Connector (OSTI)

This chapter begins with the topic of process automation which has the intent of making repetitive tasks more consistent, faster, and cheaper. As part of this discussion, we talk about how to determine if a process should be automated, how to document the process in preparation for automation, and how to perform the actual automation. A variety of scripting languages can be used to perform process automation and general best practices for scripting these processes is discussed as well as some thoughts on how to choose the right scripting language for the job. The second part of the chapter is all about monitoring of enterprise applications. Key performance indicators (KPIs) that give insight into the enterprise application’s performance over time as well as determining when to alert the enterprise applications administrator to potential problems within the application are discussed. Alerts are another important topic associated with enterprise application monitoring that is discussed including how to properly tune alerts through the selection of appropriate KPIs, retry counts, and retry intervals.

Jeremy Faircloth

2014-01-01T23:59:59.000Z

439

Findings from 7 Years of Automated Demand Response in Commercial Buildings  

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

Findings
from
7
Years
of
Automated
 Findings
from
7
Years
of
Automated
 Demand
Response
in
Commercial
Buildings

 Sila
Kiliccote,
Mary
Ann
Pie@e,
Johanna
Mathieu,
and
Kristen
Parrish
 Lawrence
Berkeley
NaGonal
Laboratory
 Demand
Response
Research
Center
 h@p://drrc.lbl.gov/
 ACEEE
2010
Summer
Study
on
Energy
Efficiency
in
Buildings
 Panel
5:
U*li*es
-

Energizing
Efficiency
 Monday,
August
16th
 Sponsored
by:
PG&E,
SDG&E,
SCE,
CEC
PIER
Program
 Lawrence
Berkeley
Na*onal
Laboratory
 1
 Overview
 * Background
and
IntroducGon
 * Automated
Demand
Response
Programs
in
California
 * Case
Study:
IKEA
East
Palo
Alto
 * Understanding
load
and
shed
variability


440

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

E-Print Network (OSTI)

Best Practices Guide. Walla Walla, WA, Cascade Energy Engineering, Inc. , Northwest Energy EfficiencyBest Practices Guide. Walla Walla, WA, Cascade Energy Engineering, Inc. , Northwest Energy EfficiencyBest Practices Guide. Walla Walla, WA, Cascade Energy Engineering, Inc. , Northwest Energy Efficiency

Lekov, Alex

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "open automated demand" 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

Fast Automated Demand Response to Enable the Integration of Renewable Resources  

E-Print Network (OSTI)

LBNL. Integrating Renewable Resources in California and thethe Integration of Renewable Resources David S. Watson,the Integration of Renewable Resources. California Energy

Watson, David S.

2013-01-01T23:59:59.000Z

442

Automated Demand Response Technology Demonstration Project for Small and Medium Commercial Buildings  

E-Print Network (OSTI)

the  DRAS, was acquired by Honeywell, a potential bidder on over the RFP process, and Honeywell was disqualified from 

Page, Janie

2012-01-01T23:59:59.000Z

443

Fast Automated Demand Response to Enable the Integration of Renewable Resources  

E-Print Network (OSTI)

regulation and load following are even more important (Etoscheduling and dispatch, load following, system protection,of wind: Regulation, Load Following, Reactive Supply and

Watson, David S.

2013-01-01T23:59:59.000Z

444

Fast Automated Demand Response to Enable the Integration of Renewable Resources  

E-Print Network (OSTI)

renewables such as wind and solar power are intermittent andShort- Term Power Fluctuation of Wind Turbines:Analyzing

Watson, David S.

2013-01-01T23:59:59.000Z

445

Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings  

E-Print Network (OSTI)

suggest the following metrics: • Energy Use Intensity (EUI):EUI is a measure of total energy use, typically over a year,area (kWh/ft 2 -yr 2 ). EUI may be reduced by many site-

Kiliccote, Sila

2010-01-01T23:59:59.000Z

446

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

E-Print Network (OSTI)

Mettwurst), Green or Cooked Seafood Frozen -17.8 to 0 Cto 0 F) 12.8 C) (-9 F), Seafood (Abalone, Cockles, Crab, FinMeat Product (-23 C) (-9 F) Seafood (< -18 C ) (< 0 F) Brine

Lekov, Alex

2009-01-01T23:59:59.000Z

447

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network (OSTI)

Missing Link in the Electricity Value Chain Aimee McKane,Missing Link in the Electricity Value Chain Aimee McKane,grid reliability and lower electricity use during periods of

McKane, Aimee

2010-01-01T23:59:59.000Z

448

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network (OSTI)

Missing Link in the Electricity Value Chain Aimee McKane*,Missing Link in the Electricity Value Chain Aimee McKane,grid reliability and lower electricity use during periods of

McKane, Aimee

2010-01-01T23:59:59.000Z

449

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

E-Print Network (OSTI)

Wilcox 2004). Variable Frequency Drives (VFDs): Equipment isfor more details. Variable Frequency Drives (VFDs): VFDs canof Agriculture Variable Frequency Drive Appendix A:

Lekov, Alex

2009-01-01T23:59:59.000Z

450

On Demand Surveillance Service in Vehicular Cloud  

E-Print Network (OSTI)

Toward Vehicular Service Cloud . . . . . . . . . . . . . . .4.2 Open Mobile Cloud Requirement . . . . .3.1 Mobile Cloud

Weng, Jui-Ting

2013-01-01T23:59:59.000Z

451

Automation in image cytometry : continuous HCS and kinetic image cytometry  

E-Print Network (OSTI)

OF CALIFORNIA, SAN DIEGO Automation in Image Cytometry:xiv Abstract of Dissertation Automation in Image Cytometry:

Charlot, David J.

2012-01-01T23:59:59.000Z

452

Automation of Fluorous Solid-Phase Extraction for Parallel Synthesis  

Science Journals Connector (OSTI)

Automation of Fluorous Solid-Phase Extraction for Parallel Synthesis ... • Cartridge conditioning, sample loading, elution, and rinsing are automated. ...

Wei Zhang; Yimin Lu

2006-10-17T23:59:59.000Z

453

Process Control and Automation: The Bagrit Vision  

Science Journals Connector (OSTI)

Automation, broadly defined as the computer-assisted control of industrial processes, covers a wide spectrum of applications. Here we need to narrow the spectrum somewhat, so as to focus on the word automation as...

Emeritus Professor Simon Lavington

2011-01-01T23:59:59.000Z

454

Microcomputer Applications in Power System Substation Automation  

Science Journals Connector (OSTI)

The object of this chapter is to describe power system applications of microcomputers, particularly in the area of power substation automation.The major functions required in substation automation are reviewed an...

C. T. Nguyen; R. Grondin; A. St-Jacques…

1983-01-01T23:59:59.000Z

455

Home Automation with ZigBee  

Science Journals Connector (OSTI)

This article discusses a topic of home automation, also called domotics, and provides an ... advantages provided by ZigBee wireless networking standard for home automation solutions. ZigBee protocol implementatio...

Maxim Osipov

2008-01-01T23:59:59.000Z

456

Disciplined agility for process control & automation  

E-Print Network (OSTI)

Process automation vendors must consider agility as a basis to gain a competitive edge in innovation. Process Automation systems can impact the operating cost of manufacturing equipment, the safe control of large quantities ...

Tibazarwa, Augustine

2009-01-01T23:59:59.000Z

457

Technical University of Denmark rsted DTU Automation  

E-Print Network (OSTI)

Technical University of Denmark �rsted · DTU Automation Project: SICAM - SIngle Conversion stage based SICAM using an LC-network Petar Ljusev, MSc., Ph.D. student, �rsted · DTU Automation e-mail: pl

458

Automated Operating Procedures for Transfer Limits  

E-Print Network (OSTI)

Automated Operating Procedures for Transfer Limits Final Project Report Power Systems Engineering · Illinois · Iowa State · Texas A&M · Washington State · Wisconsin Automated Operating Procedures

459

Automated Resoning in Modal Logics 0 (GENERAL PURPOSE) AUTOMATED REASONING IN MODAL LOGICS  

E-Print Network (OSTI)

Automated Resoning in Modal Logics 0 (GENERAL PURPOSE) AUTOMATED REASONING IN MODAL LOGICS BRANDEN FITELSON Department of Philosophy San Jos�e State University & Automated Reasoning Group.wisc.edu/fitelson BF @ AR @ MCS @ ANL & Philosophy @ SJSU May 16, 2002 Automated Resoning in Modal Logics 1

Fitelson, Branden

460

Automated Video-Based Fall Detection  

E-Print Network (OSTI)

home assistive monitoring uses technology such as sensors and cameras to aid live-alone aging persons, typically involving automation.

Edgcomb, Alex Daniel

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "open automated demand" 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

OUTDOOR RECREATION DEMAND AND EXPENDITURES: LOWER SNAKE RIVER RESERVOIRS  

E-Print Network (OSTI)

i OUTDOOR RECREATION DEMAND AND EXPENDITURES: LOWER SNAKE RIVER RESERVOIRS John R. Mc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v SECTION ONE - OUTDOOR RECREATION DEMAND . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Recreation Demand Methods

O'Laughlin, Jay

462

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

E-Print Network (OSTI)

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

Cappers, Peter

2009-01-01T23:59:59.000Z

463

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network (OSTI)

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

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

464

Coordination of Retail Demand Response with Midwest ISO Markets  

E-Print Network (OSTI)

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

Bharvirkar, Ranjit

2008-01-01T23:59:59.000Z

465

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network (OSTI)

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

McKane, Aimee T.

2009-01-01T23:59:59.000Z

466

The Role of Demand Response in Default Service Pricing  

E-Print Network (OSTI)

THE ROLE OF DEMAND RESPONSE IN DEFAULT SERVICE PRICING Galenfor providing much-needed demand response in electricitycompetitive retail markets, demand response often appears to

Barbose, Galen; Goldman, Chuck; Neenan, Bernie

2006-01-01T23:59:59.000Z

467

The Role of Demand Response in Default Service Pricing  

E-Print Network (OSTI)

and coordinated by the Demand Response Research Center onThe Role of Demand Response in Default Service Pricing Galenfor providing much-needed demand response in electricity

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2008-01-01T23:59:59.000Z

468

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

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

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

469

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

470

Technical Report TRARP1695 Automated Reasoning Project  

E-Print Network (OSTI)

Technical Report TR­ARP­16­95 Automated Reasoning Project Research School of Information Sciences Heuerding Automated Institute for Applied Mathematics Reasoning Project and Computer Science ANU University that contains automated proof procedures based on modal Gentzen systems for numerous propositional (nonclassical

Goré, Rajeev

471

AUTOMATED CRITICAL PEAK PRICING FIELD TESTS  

E-Print Network (OSTI)

AUTOMATED CRITICAL PEAK PRICING FIELD TESTS: 2006 PROGRAM DESCRIPTION AND RESULTS) for development of the DR Automation Server System This project could not have been completed without extensive: Greg Watson and Mark Lott · C&C Building Automation: Mark Johnson and John Fiegel · Chabot Space

472

INTEGRATING AUTOMATION DESIGN INFORMATION WITH XML  

E-Print Network (OSTI)

INTEGRATING AUTOMATION DESIGN INFORMATION WITH XML Mika Viinikkala, Seppo Kuikka Institute of Automation and Control, Tampere University of Technology, P.O. Box 692, 33101 Tampere, Finland Email: mika.viinikkala@tut.fi, seppo.kuikka@tut.fi Keywords: Systems integration, XML, automation design Abstract: This paper presents

473

A DISTRIBUTED AUTOMATION SYSTEM FOR ELECTROPHYSICAL INSTALLATIONS  

E-Print Network (OSTI)

A DISTRIBUTED AUTOMATION SYSTEM FOR ELECTROPHYSICAL INSTALLATIONS V.R. Kozak Budker Institute There was designed a set of devices for automation systems of physical installations. On this basis approach. KEY WORDS Automation, systems, applications, CANBUS, embedded, controller. 1. Introduction Budker

Kozak, Victor R.

474

TAMPERE UNIVERSITY OF TECHNOLOGY DEPARTMENT OF AUTOMATION  

E-Print Network (OSTI)

TAMPERE UNIVERSITY OF TECHNOLOGY DEPARTMENT OF AUTOMATION An Intelligent Web Service for Operation 2004 Examiner: Prof. Seppo Kuikka #12;2 Abstract TAMPERE UNIVERSITY OF TECHNOLOGY Automation Degree Program Institute of Automation and Control Jaakkola, Veli-Pekka: An Intelligent Web Service for Operation

475

The Retail Planning Problem under Demand Uncertainty.  

E-Print Network (OSTI)

and Rajaram K. , (2000), “Accurate Retail Testing of FashionThe Retail Planning Problem Under Demand Uncertainty GeorgeAbstract We consider the Retail Planning Problem in which

Georgiadis, G.; Rajaram, K.

2012-01-01T23:59:59.000Z

476

Retail Demand Response in Southwest Power Pool  

E-Print Network (OSTI)

17 6. Barriers to Retail23 ii Retail Demand Response in SPP List of Figures and6 Table 3. SPP Retail DR Survey

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

477

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

water heaters with embedded demand responsive controls can be designed to automatically provide day-ahead and real-time response

Goldman, Charles

2010-01-01T23:59:59.000Z

478

Demand Response (transactional control) - Energy Innovation Portal  

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

Transmission Electricity Transmission Find More Like This Return to Search Demand Response (transactional control) Pacific Northwest National Laboratory Contact PNNL About...

479

Regulation Services with Demand Response - Energy Innovation...  

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

Regulation Services with Demand Response Pacific Northwest National Laboratory Contact PNNL About This Technology Using grid frequency information, researchers have created...

480

Topics in Residential Electric Demand Response.  

E-Print Network (OSTI)

??Demand response and dynamic pricing are touted as ways to empower consumers, save consumers money, and capitalize on the “smart grid” and expensive advanced meter… (more)

Horowitz, Shira R.

2012-01-01T23:59:59.000Z

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481

Maximum-Demand Rectangular Location Problem  

E-Print Network (OSTI)

Oct 1, 2014 ... Demand and service can be defined in the most general sense. ... Industrial and Systems Engineering, Texas A&M University, September 2014.

Manish Bansal

2014-10-01T23:59:59.000Z

482

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network (OSTI)

in the presence of renewable resources and on the amount ofprimarily from renewable resources, and to a limited extentintegration of renewable resources and deferrable demand. We

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

483

Basic Theory of Demand-Side Management  

Science Journals Connector (OSTI)

Demand-Side Management (DSM) is pivotal in Integrated Resource ... to realize sustainable development, and advanced energy management activity. A project can be implemented only...

Zhaoguang Hu; Xinyang Han; Quan Wen

2013-01-01T23:59:59.000Z

484

Demand response at the Naval Postgraduate School .  

E-Print Network (OSTI)

??The purpose of this MBA project is to assist the Naval Postgraduate School's Public Works department to assimilate into a Demand Response program that will… (more)

Stouffer, Dean

2008-01-01T23:59:59.000Z

485

Demand response exchange in a deregulated environment .  

E-Print Network (OSTI)

??This thesis presents the development of a new and separate market for trading Demand Response (DR) in a deregulated power system. This market is termed… (more)

Nguyen, DT

2012-01-01T23:59:59.000Z

486

Demand response exchange in a deregulated environment.  

E-Print Network (OSTI)

??This thesis presents the development of a new and separate market for trading Demand Response (DR) in a deregulated power system. This market is termed… (more)

Nguyen, DT

2012-01-01T23:59:59.000Z

487

Geographically Based Hydrogen Demand and Infrastructure Rollout...  

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

Rollout Scenario Analysis Geographically Based Hydrogen Demand and Infrastructure Rollout Scenario Analysis Presentation by Margo Melendez at the 2010-2025 Scenario Analysis for...

488

Scalable Distributed Automation System: Scalable Real-time Decentralized Volt/VAR Control  

SciTech Connect

GENI Project: Caltech is developing a distributed automation system that allows distributed generators—solar panels, wind farms, thermal co-generation systems—to effectively manage their own power. To date, the main stumbling block for distributed automation systems has been the inability to develop software that can handle more than 100,000 distributed generators and be implemented in real time. Caltech’s software could allow millions of generators to self-manage through local sensing, computation, and communication. Taken together, localized algorithms can support certain global objectives, such as maintaining the balance of energy supply and demand, regulating voltage and frequency, and minimizing cost. An automated, grid-wide power control system would ease the integration of renewable energy sources like solar power into the grid by quickly transmitting power when it is created, eliminating the energy loss associated with the lack of renewable energy storage capacity of the grid.

None

2012-03-01T23:59:59.000Z

489

Automating Shallow Seismic Imaging  

SciTech Connect

This seven-year, shallow-seismic reflection research project had the aim of improving geophysical imaging of possible contaminant flow paths. Thousands of chemically contaminated sites exist in the United States, including at least 3,700 at Department of Energy (DOE) facilities. Imaging technologies such as shallow seismic reflection (SSR) and ground-penetrating radar (GPR) sometimes are capable of identifying geologic conditions that might indicate preferential contaminant-flow paths. Historically, SSR has been used very little at depths shallower than 30 m, and even more rarely at depths of 10 m or less. Conversely, GPR is rarely useful at depths greater than 10 m, especially in areas where clay or other electrically conductive materials are present near the surface. Efforts to image the cone of depression around a pumping well using seismic methods were only partially successful (for complete references of all research results, see the full Final Technical Report, DOE/ER/14826-F), but peripheral results included development of SSR methods for depths shallower than one meter, a depth range that had not been achieved before. Imaging at such shallow depths, however, requires geophone intervals of the order of 10 cm or less, which makes such surveys very expensive in terms of human time and effort. We also showed that SSR and GPR could be used in a complementary fashion to image the same volume of earth at very shallow depths. The primary research focus of the second three-year period of funding was to develop and demonstrate an automated method of conducting two-dimensional (2D) shallow-seismic surveys with the goal of saving time, effort, and money. Tests involving the second generation of the hydraulic geophone-planting device dubbed the ''Autojuggie'' showed that large numbers of geophones can be placed quickly and automatically and can acquire high-quality data, although not under rough topographic conditions. In some easy-access environments, this device could make SSR surveying considerably more efficient and less expensive, particularly when geophone intervals of 25 cm or less are required. The most recent research analyzed the difference in seismic response of the geophones with variable geophone spike length and geophones attached to various steel media. Experiments investigated the azimuthal dependence of the quality of data relative to the orientation of the rigidly attached geophones. Other experiments designed to test the hypothesis that the data are being amplified in much the same way that an organ pipe amplifies sound have so far proved inconclusive. Taken together, the positive results show that SSR imaging within a few meters of the earth's surface is possible if the geology is suitable, that SSR imaging can complement GPR imaging, and that SSR imaging could be made significantly more cost effective, at least in areas where the topography and the geology are favorable. Increased knowledge of the Earth's shallow subsurface through non-intrusive techniques is of potential benefit to management of DOE facilities. Among the most significant problems facing hydrologists today is the delineation of preferential permeability paths in sufficient detail to make a quantitative analysis possible. Aquifer systems dominated by fracture flow have a reputation of being particularly difficult to characterize and model. At chemically contaminated sites, including U.S. Department of Energy (DOE) facilities and others at Department of Defense (DOD) installations worldwide, establishing the spatial extent of the contamination, along with the fate of the contaminants and their transport-flow directions, is essential to the development of effective cleanup strategies. Detailed characterization of the shallow subsurface is important not only in environmental, groundwater, and geotechnical engineering applications, but also in neotectonics, mining geology, and the analysis of petroleum reservoir analogs. Near-surface seismology is in the vanguard of non-intrusive approaches to increase knowledge of the shallow subsurface; our

Steeples, Don W.

2004-12-09T23:59:59.000Z

490

Chapter 13 - Commercial Building Automation  

Science Journals Connector (OSTI)

A Building Automation System (BAS) is a computerized, intelligent system that controls and measures lighting, climate, security, and other mechanical and electrical systems in a building. The purpose of a BAS is typically to reduce energy and maintenance costs, as well as to increase control, comfort, reliability, and ease of use for maintenance staff and tenants.

Jan Höller; Vlasios Tsiatsis; Catherine Mulligan; Stamatis Karnouskos; Stefan Avesand; David Boyle

2014-01-01T23:59:59.000Z

491

Automated computation meets hot QCD  

E-Print Network (OSTI)

We give a short review on recent progress in the field of automated calculations in finite-temperature field theory, where integration-by-parts techniques have proven (almost) as useful as in the zero-temperature case. Furthermore, we provide one concrete example of an evaluation of a new three-loop master sum-integral that exhibits maximal divergence.

Ioan Ghisoiu; York Schroder

2012-10-19T23:59:59.000Z

492

ALMS: Automated logic mapping system  

Science Journals Connector (OSTI)

ALMS is a set of design automation computer programs which accepts as input a description of a logic design, specifications of modules (e.g., chips, cards, etc.) into which the blocks of the design are to be partitioned or mapped, and some constraints ...

R. L. Russo; P. K. Wolff, Sr.

1971-06-01T23:59:59.000Z

493

Electric Water Heater Modeling and Control Strategies for Demand Response  

SciTech Connect

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

494

Jayhuggins's blog | OpenEI Community  

Open Energy Info (EERE)

Jayhuggins's blog Jayhuggins's blog Home > Blogs Jayhuggins's picture Submitted by Jayhuggins(15) Member 2 October, 2012 - 15:59 OpenEI Download/Upload Automation Scripts I've created a set of scripts for automating downloading a list of OpenEI wiki pages, and for uploading them. Files: application/octet-stream icon openei_automation.tar_.gz Jayhuggins's picture Submitted by Jayhuggins(15) Member 22 June, 2012 - 09:39 Finding Utility Companies Under a Given Utility ID Utility+Utility Access Map Here's a quick way to find all the utility company pages under a given utility id. From the Special Ask page, in the query box enter the following: [[Category:Utility Companies]][[EiaUtilityId::15248]] substituting your utility id of interest for 15248, and click "Find results".

495

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network (OSTI)

......................................................................... 11 3. Demand Side Management (DSM) Program Impacts................................... 13 4. Demand Sylvia Bender Manager DEMAND ANALYSIS OFFICE Scott W. Matthews Chief Deputy Director B.B. Blevins Forecast Methods and Models ....................................................... 14 5. Demand-Side

496

Rockwell Automation - Owens Corning Teaming Profile  

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

Rockwell Automation Owens Corning Rockwell Automation Owens Corning 1201 S. Second Street 247 York Road Milwaukee, WI 53204 Guelph, Ontario N1E 3G4 Business: Industrial Automation Business: Textile / Fiber Nigel Hitchings Frank Peel Marketing Manager Electrical Support Specialist Phone: 508-357-8404 Phone: 519-823-7208 Email: nehitchings@ra.rockwell.com Email: frank.peel@owenscorning.com Owens Corning partners with Rockwell Automation to retrofit fans with VFDs, saving $67,000 annually Project Scope Owens Corning and Rockwell Automation installed Variable Frequency Drives (VFDs) on one 125HP cooling fan and three 40HP recirculation fans at the Owens Corning Guelph Glass Plant. The VFDs were integrated with the existing Rockwell Automation programmable automation controller to collect

497

May 1, 2014 Technical Meeting: Data/Communication Standards and...  

Energy Savers (EERE)

& ISOIEC 14908 (LonMark International) Presentation: Introducing Open Automated Demand Response (OpenADR) (Honeywell) Presentation: Consortium for SEP 2 Interoperability (CSEP)...

498

Technical Meeting: Data/Communication Standards and Interoperability...  

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

LonMark & ISOIEC 14908 (LonMark International) Presentation: Introducing Open Automated Demand Response (OpenADR) (Honeywell) Presentation: Consortium for SEP 2 Interoperability...

499

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

500

DEMAND SIMULATION FOR DYNAMIC TRAFFIC ASSIGNMENT  

E-Print Network (OSTI)

of the response of travelers to real-time pre- trip information. The demand simulator is an extension of dynamicDEMAND SIMULATION FOR DYNAMIC TRAFFIC ASSIGNMENT Constantinos Antoniou, Moshe Ben-Akiva, Michel Bierlaire, and Rabi Mishalani Massachusetts Institute of Technology, Cambridge, MA 02139 Abstract

Bierlaire, Michel