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1

Sila Kiliccote  

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

in Large Buildings in the Pacific Northwest." Energy Efficiency, no. Special Issue on Smart Grids and Energy Efficiency (2012). Download: PDF (980.77 KB) Kiliccote, Sila,...

2

Sila Kiliccote  

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Sila Kiliccote Sila Kiliccote Sila Kiliccote Grid Integration Group Demand Response Research Center (DRRC) Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R1121 Berkeley CA 94720 Office Location: 90-1127 (510) 495-2615 SKiliccote@lbl.gov Sila Kiliccote is Acting Leader of the Grid Integration Group. She has been a part of the automated demand response team developing an automated communication infrastructure, integrating it with building control systems and working with stakeholders to standardize the information model. Her areas of interest include characterization of buildings and demand reduction, demand responsive lighting systems, building systems integration and feedback for demand-side management. She has a MS in Building Science from Carnegie Mellon University and a BS in Electrical Engineering from

3

2012 CERTS LAAR Program Peer Review - Load as a Regulation Resource, Phase 2 - Sila Kiliccote, LBNL  

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

and Distributed Resources Department  Grid Integration Group and Distributed Resources Department  Grid Integration Group Load as a Regulation Resource Sila Kiliccote, Jason MacDonald, Livio Fenga and Dave Watson Demand Response Research Center Grid Integration Group Lawrence Berkeley National Laboratory http://drrc.lbl.gov CERTS review September 20, 2012 Energy Storage and Distributed Resources Department  Grid Integration Group Outline  Phase 1 summary - Overview of OpenADR - Major Phase 1 accomplishments  Project objectives  Tasks and major technical accomplishments completed  Deliverables and schedule  Risk Factors  Follow-on Work Energy Storage and Distributed Resources Department  Grid Integration Group What is OpenADR and how does it work? Signaling- continuous, 2-way, secure messaging system for dynamic prices, emergency and

4

5 Questions for Grid Integration Group's Sila Kiliccote  

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energy management behind the meter with continuous price and reliability signals from the electricity grid. We can't realize that vision unless we push the boundaries in markets...

5

Publications  

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8 results: 8 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is Motegi, Naoya [Clear All Filters] 2007 Piette, Mary Ann, David S. Watson, Naoya Motegi, and Sila Kiliccote. Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results., 2007. Motegi, Naoya, Mary Ann Piette, David S. Watson, Sila Kiliccote, and Peng Xu. Introduction to Commercial Building Control Strategies and Techniques for Demand Response., 2007. 2006 Piette, Mary Ann, David S. Watson, Naoya Motegi, Sila Kiliccote, and Eric Linkugel. "Participation through Automation: Fully Automated Critical Peak Pricing in Commercial Buildings." In 2006 ACEEE Summer Study on Energy Efficiency in Buildings. Pacific Grove, CA, 2006. Watson, David S., Sila Kiliccote, Naoya Motegi, and Mary Ann Piette.

6

Automated Critical Peak Pricing Field Tests: 2006 Program Description and Results APPENDICES  

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Automated Critical Peak Pricing Field Tests: 2006 Program Description and Results APPENDICES Mary Ann Piette David Watson Naoya Motegi Sila Kiliccote Lawrence Berkeley National Laboratory MS90R3111 1 Cyclotron Road Berkeley, California 94720 August 30, 2007 This work described in this report was coordinated by the Demand Response Research Center and funded by the California Energy Commission, Public Interest Energy Research Program, under Work for Others Contract No. 150-99-003, Am #1 and by the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. LBNL Report Number 62218 2 Table of Contents List of Tables ......................................................................................................................................3

7

Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results  

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i Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results Mary Ann Piette David Watson Naoya Motegi Sila Kiliccote Lawrence Berkeley National Laboratory MS90R3111 1 Cyclotron Road Berkeley, California 94720 June 19, 2007 LBNL Report Number 62218 ii Acknowledgements The work described in this report was funded by the Emerging Technologies Program at Pacific Gas and Electric Company. Additional funding was provided by the Demand Response Research Center which is funded by the California Energy Commission (Energy Commission), Public Interest Energy Research (PIER) Program, under Work for Others Contract No.500-03-026, Am #1 and by the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. The authors are grateful for the extensive

8

Publications  

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Sila Kiliccote, David M. Auslander, Igor Paprotny, and Yuri V. Makarov. Demand Response as a System Reliability Resource., 2012. 2008 Eto, Joseph H., Robert H. Lasseter, Ben...

9

Publications  

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Joyce Jihyun Kim Clear All Filters 2012 Kim, Joyce Jihyun, and Sila Kiliccote. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR. LBNLNYSERDA...

10

Microsoft Word - 120627_NYSERDA report_OpenADR_FINAL.docx  

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

7E Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Joyce Jihyun Kim, Sila Kiliccote Environmental Energy Technologies Division June 2012 Price...

11

Auto-DR and Pre-cooling of Buildings at Tri-City Corporate Center  

E-Print Network (OSTI)

and Sila Kiliccote, Estimating Demand Response Load Impacts:support of the LBNL Demand Response Research Center pre-simulation tool the Demand Response Quick Assessment

Yin, Rongxin

2010-01-01T23:59:59.000Z

12

Publications  

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Clear All Filters 2013 Levy, Roger, and Sila Kiliccote. Hawaiian Electric Company Demand Response Roadmap Project Final Report., 2013. Addy, Nathan, Johanna L. Mathieu,...

13

HECO-DR-roadmap-FinalReport-040313  

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5E Hawaiian Electric Company Demand Response Roadmap Project Roger Levy and Sila Kiliccote Lawrence Berkeley National Laboratory January 2013 DISCLAIMER This document was prepared...

14

Advanced Controls Technologies and Strategies Linking Energy...  

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Advanced Controls Technologies and Strategies Linking Energy Efficiency and Demand Response Speaker(s): Sila Kiliccote Date: October 6, 2005 - 12:00pm Location: Bldg. 90 Reliable...

15

Publications  

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Mary Ann, Sila Kiliccote, and Junqiao Han Dudley. "Field Demonstration of Automated Demand Response for Both Winter and Summer Events in Large Buildings in the Pacific...

16

Publications  

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and Sila Kiliccote. "Demand Response Providing Ancillary Services A Comparison of Opportunities and Challenges in the US Wholesale Markets." In Grid-Interop 2012. Irving, TX...

17

Junqiao Han Dudley  

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A Plan for Research towards Implementation." In 2012 Greenbuild Conference & Expo. San Francisco, CA, 2012. Download: PDF (1.17 MB) 2011 Page, Janie, Sila Kiliccote, Junqiao...

18

Publications  

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Grove, CA, 2010. Yin, Rongxin, Sila Kiliccote, Mary Ann Piette, and Kristen Parrish. "Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in...

19

Rongxin Yin  

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(1015.15 KB) 2010 Yin, Rongxin, Sila Kiliccote, Mary Ann Piette, and Kristen Parrish. "Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in...

20

Jessica Granderson  

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Han Dudley, Sila Kiliccote, and Mary Ann Piette. "Chilled Water Storage System and Demand Response at the University of California at Merced." In 9th International...

Note: This page contains sample records for the topic "motegi sila kiliccote" 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

Environmental Energy Technologies Division News  

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buildings save power through automated demand response technology and advanced "Smart Grid" development. From left: Sila Kiliccote, Girish Ghatikar, and Mary Ann Piette. The...

22

Action of (R)-sila-venlafaxine and reboxetine to antagonize cisplatin-induced acute and delayed emesis in the ferret  

SciTech Connect

The chemotherapeutic drug cisplatin is associated with severe gastrointestinal toxicity that can last for several days. A recent strategy to treat the nausea and emesis includes the combination of a 5-HT{sub 3} receptor antagonist, a glucocorticoid, and an NK{sub 1} receptor antagonist. The present studies explore the use of the selective noradrenaline reuptake inhibitors, (R)-sila-venlafaxine, (R,R)-reboxetine and (S,S)-reboxetine to prevent cisplatin (5 mg/kg, i.p.)-induced acute (0-24 h) and delayed (24-72 h) emesis in ferrets. The positive control regimen of ondansetron and dexamethasone, both at 1 mg/kg/8 h, reduced acute and delayed emesis by 100 (P < 0.001) and 61% (P < 0.05). (R)-sila-venlafaxine at 5 and 15 mg/kg/4 h reduced acute emesis by 86 (P < 0.01) and 66% (P < 0.05), respectively and both enantiomers of reboxetine at 1 mg/kg/12 h also reduced the response by {approx} 70-90% (P < 0.05). Out of the reuptake inhibitors, only (R)-sila-venlafaxine at 15 mg/kg/4 h was active to reduce delayed emesis (a 57% reduction was observed (P < 0.05)); its terminal plasma levels were positively correlated with an inhibition of emesis during the delayed phase (P < 0.05). (R)-sila-venlafaxine was also examined against a higher dose of cisplatin 10 mg/kg, i.p. (3 h test) and it dose-dependently antagonized the response (maximum reduction was 94% at 10 mg/kg, p.o.; P < 0.01) but it was ineffective against apomorphine (0.125 mg/kg, s.c.) and ipecacuanha (2 mg/kg, p.o.)-induced emesis (P > 0.05). In conclusion, the studies provide the first evidence for an anti-emetic potential of noradrenaline reuptake inhibitors to reduce chemotherapy-induced acute and delayed emesis.

Warneck, Julie B. [Takeda Cambridge Limited, 418 Cambridge Science Park, Cambridge, CB4 0PA (United Kingdom); Cheng, Frankie H.M. [Emesis Research Group, Brain-Gut Laboratory, Department of Pharmacology, Faculty of Medicine, Chinese University of Hong Kong, Shatin, N.T., Hong Kong (China); Barnes, Matthew J.; Mills, John S.; Montana, John G. [Takeda Cambridge Limited, 418 Cambridge Science Park, Cambridge, CB4 0PA (United Kingdom); Naylor, Robert J. [Postgraduate Studies in Pharmacology, The School of Pharmacy, University of Bradford, Bradford, BD7 1DP (United Kingdom); Ngan, Man-P.; Wai, Man-K. [Emesis Research Group, Brain-Gut Laboratory, Department of Pharmacology, Faculty of Medicine, Chinese University of Hong Kong, Shatin, N.T., Hong Kong (China); Daiss, Juergen O.; Tacke, Reinhold [Institut fur Anorganische Chemie, Universitaet Wuerburg, Am Hubland, D-97074 Wuerzburg (Germany); Rudd, John A. [Emesis Research Group, Brain-Gut Laboratory, Department of Pharmacology, Faculty of Medicine, Chinese University of Hong Kong, Shatin, N.T., Hong Kong (China)], E-mail: jar@cuhk.edu.hk

2008-11-01T23:59:59.000Z

23

NREL's Energy Systems Integration Facility  

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NREL's Energy Systems Integration Facility Speaker(s): Benjamin Kroposki Date: January 14, 2013 - 12:00pm Location: 90-1099 Seminar HostPoint of Contact: Sila Kiliccote The...

24

Publications  

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6 results: 6 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is David S. Watson [Clear All Filters] 2012 Eto, Joseph H., Nancy J. Lewis, David S. Watson, Sila Kiliccote, David M. Auslander, Igor Paprotny, and Yuri V. Makarov. Demand Response as a System Reliability Resource., 2012. Watson, David S., Nance Matson, Janie Page, Sila Kiliccote, Mary Ann Piette, Karin Corfee, Betty Seto, Ralph Masiello, John Masiello, Lorin Molander et al. Fast Automated Demand Response to Enable the Integration of Renewable Resources. CEC/LBNL, 2012. 2011 Piette, Mary Ann, Sila Kiliccote, David S. Watson, and Girish Ghatikar. "DR Technologies, Strategies and Case Studies.", 2011. Kiliccote, Sila, Mary Ann Piette, David S. Watson, and Girish Ghatikar.

25

Sustainable Electrical Energy Systems  

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Sustainable Electrical Energy Systems Speaker(s): Mark O'Malley Date: June 27, 2012 - 12:00pm Location: 90-1099 Seminar HostPoint of Contact: Sila Kiliccote The process of making...

26

DR Tools  

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Kiliccote, Sila Keywords autodr training at pg&e's pacific energy center Attachment Size PDF 2.16 MB Google Scholar BibTex RIS RTF XML Alternate URL: http:eetd.lbl.govnode56090...

27

Abstract for Silas Beane  

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University of New Hampshire Hadron-hadron and hadron-hadron-hadron properties from lattice QCD While lattice QCD is able to compute single-hadron properties to few- percent...

28

Publications  

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5 results: 5 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is Chiu, Albert K. [Clear All Filters] 2012 Kiliccote, Sila, Phillip N. Price, Mary Ann Piette, Geoffrey C. Bell, Steve Pierson, Edward Koch, Jeremy Carnam, Hugo Pedro, John Hernandez, and Albert K. Chiu. Field Testing of Automated Demand Response for Integration of Renewable Resources in California's Ancillary Services Market for Regulation Products. LBNL, 2012. 2011 Page, Janie, Sila Kiliccote, Junqiao Han Dudley, Mary Ann Piette, Albert K. Chiu, Bashar Kellow, Edward Koch, and Paul Lipkin. Automated Demand Response Technology Demonstration Project for Small and Medium Commercial Buildings. CEC/LBNL, 2011. 2009 Kiliccote, Sila, Mary Ann Piette, Girish Ghatikar, Edward Koch, Dan

29

Hardware/Software Solution Unifying DALI, IBECS,  

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Hardware/Software Solution Unifying DALI, IBECS, Hardware/Software Solution Unifying DALI, IBECS, and BACnet Final Report Contributors: Ed Koch (Akua Controls) Francis Rubinstein Sila Kiliccote Report on Hardware/Software Solution Unifying DALI, IBECS, and BACnet 1 Table of Contents Executive Summary................................................................................................................................3 Introduction.............................................................................................................................................4 Context....................................................................................................................................................4 Control Strategies ..............................................................................................................................................

30

Publications  

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8 results: 8 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is Dan Hennage [Clear All Filters] 2010 Ghatikar, Girish, Johanna L. Mathieu, Mary Ann Piette, Edward Koch, and Dan Hennage. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration. CEC/LBNL, 2010. 2009 Piette, Mary Ann, Girish Ghatikar, Sila Kiliccote, David S. Watson, Edward Koch, and Dan Hennage. "Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings." Journal of Computing Science and Information Engineering 9, no. 2 (2009). Kiliccote, Sila, Mary Ann Piette, Girish Ghatikar, Edward Koch, Dan Hennage, John Hernandez, Albert K. Chiu, Osman Sezgen, and John Goodin. "Open Automated Demand Response Communications in Demand Response for

31

Publications  

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36 results: 36 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is Peng Xu [Clear All Filters] 2010 Yin, Rongxin, Peng Xu, Mary Ann Piette, and Sila Kiliccote. "Study on Auto-DR and Pre-cooling of Commercial Buildings with Thermal Mass in California." Energy and Buildings 42, no. 7 (2010): 967-975. 2009 Xu, Peng, Rongxin Yin, Carrie Brown, and DongEun Kim. Demand Shifting with Thermal Mass in Large Commercial Buildings in a California Hot Climate Zone. CEC/LBNL, 2009. Xu, Peng, and Leah Zagreus. "Demand Shifting with Thermal Mass in Light and Heavy Mass Commercial Buildings." In 2009 ASHRAE Annual Conference. Louisville, KY, 2009. 2008 Yin, Rongxin, Peng Xu, and Sila Kiliccote. Auto-DR and Pre-cooling of Buildings at Tri-City Corporate Center., 2008.

32

Publications  

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8 results: 8 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is Rongxin Yin [Clear All Filters] 2013 Kim, Joyce Jihyun, Rongxin Yin, and Sila Kiliccote. "Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR." In International Conference for Enhanced Building Operations (ICEBO) 2013. Montreal, Quebec, 2013. Kim, Joyce Jihyun, Sila Kiliccote, and Rongxin Yin. Automated Demand Response Technologies and Demonstration in New York City using OpenADR. LBNL/NYSERDA, 2013. 2012 Earni, Shankar, Spencer Woodworth, Xiufeng Pang, Jorge Hernandez-Maldonado, Rongxin Yin, Liping Wang, Steve E. Greenberg, John Fiegel, and Alma Rubalcava. Monitoring-based HVAC Commissioning of an Existing Office

33

High Performance Commercial Building Systems Naoya Motegi, Mary Ann Piette, and Satkartar Kinney  

E-Print Network (OSTI)

(Computerized Maintenance Management System) software maintains a schedule for preventive maintenance initiatives, including computerized maintenance management systems (CMMS) to efficiently manage maintenance of 1994 ACEEE, Operation and Maintenance. Energy Management Case Studies Using Energy Information Systems

34

Presentation title goes here  

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

Future of DR Future of DR March 3, 2011 Sila Kiliccote, Mary Ann Piette, Dave Watson, Rish Ghatikar Deputy, DRRC Program Manager, LBNL SKiliccote@lbl.gov 2 Presentation Overview * Trends * Policy * Technology * Implementations * Load As Resource in Ancillary Services Markets * Future directions towards responsive buildings 3 Trends Policy Dynamic Rates - Large C&I, residential, small commercial Codes and Standards -Title 24, US Green Building Council's LEED Credits Smart Grid Standards effort Ancillary Services Technology Integration of Renewables Energy Storage Technologies - Can DR replace storage? PHEVs and EVs Implementation Linking Energy Efficiency and DR Utility Implementations Smart Grid Investment and Demonstration Grants 4 Demand Side Management and Automated DR Future

35

SC report July 21 2011 LBNL format final  

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82E 82E Automated Demand Response Technology Demonstration for Small and Medium Commercial Buildings Janie Page, Sila Kiliccote, Junqiao Han Dudley, Mary Ann Piette Lawrence Berkeley National Laboratory Albert. K. Chiu, Bashar Kellow Pacific Gas and Electric Company Ed Koch, Paul Lipkin Akuacom July 2011 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,

36

Microsoft Word - Load Availability Profiles and Constraints for the Western Interconnect_102513_clean.docx  

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

7E 7E Grid Integration of Aggregated Demand Response, Part I: Load Availability Profiles and Constraints for the Western Interconnection Daniel J. Olsen, Nance Matson, Michael D. Sohn, Cody Rose, Junqiao Dudley, Sasank Goli, and Sila Kiliccote Lawrence Berkeley National Laboratory Marissa Hummon, David Palchak, Paul Denholm, and Jennie Jorgenson National Renewable Energy Laboratory Ookie Ma U.S. Department of Energy September 2013 Disclaimer Acknowledgements Abstract Foreword Table of Contents List of Figures List of Tables Executive Summary Introduction ≤ ≤ ≤

37

Thermal Energy Storage (TES): Past, Present and Future  

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Thermal Energy Storage (TES): Past, Present and Future Thermal Energy Storage (TES): Past, Present and Future Speaker(s): Klaus Schiess Date: June 10, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Sila Kiliccote Thermal Energy Storage (TES) is a technology that stores "cooling" energy in a thermal storage mass. In the eighties and early nineties the utilities in California incentivised this technology to shift electrical on-peak power to off-peak. Thereafter, for various reasons TES became the most neglected permanent load shifting opportunity. It is only now with the challenges that the renewables provide that TES may have a come- back because it is basically the best and most economical AC battery available with a round trip efficiency of 100% or even better. This presentation gives some background to this development and shows the interdependence of

38

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

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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

39

asme_paper_quantifying_variability_in_DR_sheds_generic.dvi  

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

0E 0E Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance Nathan Addy 1 , Johanna L. Mathieu 2 , Sila Kiliccote 1 , Duncan S. Callaway 3 1 Lawrence Berkeley National Laboratory 2 ETH Zurich 3 University of California, Berkeley August 2013 To be presented at the ASME 2013 International Mechanical Engineering Congress and Exposition, San Diego, CA, November 15-21, 2013, and to be published in the Proceedings Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance Nathan Addy Environmental Energy Technologies Division Lawrence Berkeley National Lab Berkeley, California, USA Email: naddy@lbl.gov Johanna L. Mathieu Power Systems Laboratory ETH Z¨ urich Zurich, Switzerland Email: jmathieu@eeh.ee.ethz.ch

40

Greenbuild-DR paper-final  

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4E 4E LEED Demand Response Credit: A Plan for Research towards Implementation Sila Kiliccote, Lawrence Berkeley National Laboratory Mary Ann Piette, Lawrence Berkeley National Laboratory James Fine, Environmental Defense Fund Oren Schetrit, Lawrence Berkeley National Laboratory Junqiao H. Dudley, Lawrence Berkeley National Laboratory Heather Langford, U.S. Green Building Council November 2012 Presented at the 2012 Greenbuild Conference & Expo, San Francisco, CA, November 14-16, 2012, 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

Note: This page contains sample records for the topic "motegi sila kiliccote" 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

Piette aceee final pap 230 may15  

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

62E 62E Responsive and Intelligent Building Information and Control for Low-Energy and Optimized Grid Integration Mary Ann Piette, Jessica Granderson, Michael Wetter, Sila Kiliccote Lawrence Berkeley National Laboratory May 2012 Presented at the ACEEE 2012 Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 12-17, 2012, 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,

42

Publications  

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217 results: 217 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is Joseph H. Eto [Clear All Filters] 2012 Eto, Joseph H., Nancy J. Lewis, David S. Watson, Sila Kiliccote, David M. Auslander, Igor Paprotny, and Yuri V. Makarov. Demand Response as a System Reliability Resource., 2012. Eto, Joseph H., Kristina Hamachi LaCommare, Peter H. Larsen, Annika Todd, and Emily Fisher. An Examination of Temporal Trends in Electricity Reliability Based on Reports from U.S. Electric Utilities., 2012. Bode, Josh, Michael J. Sullivan, and Joseph H. Eto. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement. Berkeley: LBNL, 2012. Fisher, Emily, Joseph H. Eto, and Kristina Hamachi LaCommare. Understanding Bulk Power Reliability: The Importance of Good Data and A Critical Review

43

Publications  

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5 results: 5 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is Roger Levy [Clear All Filters] 2013 Levy, Roger, and Sila Kiliccote. Hawaiian Electric Company Demand Response Roadmap Project Final Report., 2013. 2011 Hoffman, Ron, Roger Levy, and Karen Herter. Technical Options to Address Cyber Security, Interoperability and Other Issues with ZigBee SEP., 2011. 2010 Goldman, Charles A., Michael Reid, Roger Levy, and Alison Silverstein. Coordination of Energy Efficiency and Demand Response. Berkeley: LBNL, 2010. 2004 Levy, Roger, Karen Herter, and John Wilson. "Unlocking the potential for efficiency and demand response through advanced metering." In 2004 ACEEE Summer Study on Energy Efficiency in Buildings. Pacific Grove, CA: ACEEE,

44

Modeling, Analysis, and Control of Demand Response Resources  

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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

45

Advanced Controls Technologies and Strategies Linking Energy Efficiency and  

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Advanced Controls Technologies and Strategies Linking Energy Efficiency and Advanced Controls Technologies and Strategies Linking Energy Efficiency and Demand Response Speaker(s): Sila Kiliccote Date: October 6, 2005 - 12:00pm Location: Bldg. 90 Reliable supply of affordable electricity has been in the spotlight since the blackouts in California, the grid shutdown events in New England and the terrorist threats nationwide. While the array of generation technologies and transmission safety issues have been widely discussed, capacity requirements and demand side management issues have also been revisited. This presentation will concentrate on a preliminary framework to describe how advanced controls can support multiple modes of operations including both energy efficiency and demand response (DR). A general description of DR, its benefits, and nationwide status will be outlined.

46

Microsoft Word - IRR Report final.docx  

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6E 6E Field Testing of Automated Demand Response for Integration of Renewable Resources in California's Ancillary Services Market for Regulation Products Sila Kiliccote, Phil Price, Mary Ann Piette, Geoffrey Bell Lawrence Berkeley National Laboratory Steve Pierson & Edward Koch Akuacom/Honeywell Jeremy Carnam & Hugo Pedro SolAspect & UC Merced/UC San Diego John Hernandez & Albert Chiu Pacific Gas and Electric Company April 2012 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. W hile t his d ocument i s b elieved t o c ontain c orrect i nformation, n either t he U nited States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees,

47

DOE - NETL Internal Program Review - June 10, 2010  

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

DOE-CERTS Transmission Reliability R&D DOE-CERTS Transmission Reliability R&D Internal Program Review: Load as a Resource (LAAR) September 20, 2012 Lawrence Berkeley National Laboratory, Building 90 Room TBD: signage will be posted at the building entrance Agenda 8:00 am Light refreshments available Welcome, Introductions, DOE remarks Phil Overholt, DOE, and Joe Eto, LBNL 8:30 Frequency Responsive Demand Jeff Dagle, PNNL 9:10 Frequency Responsive Load Evaluation and Benefits on Power System Grid Isabelle Snyder, ORNL (by phone) 9:50 Break 10:20 Load as a Regulation Resource, Phase 2 Sila Kiliccote, LBNL 11:00 Scoping Study on Industrial Regulation Nasr Alkadi, ORNL 11:40 Integration and Extension of Direct Load Management of Smart Loads Anna Scaglioni, UC Davis

48

Microsoft Word - DT_DT-2012-01-0012.RA_Piette.doc  

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4E 4E Intelligent Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response Mary Ann Piette, Jessica Granderson, Michael Wetter, Sila Kiliccote Lawrence Berkeley National Laboratory May 2012 Published in IEEE Design and Test of Computers 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, apparatus, product, or process disclosed, or represents that its use would not infringe

49

Publications  

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7 results: 7 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is David M. Auslander [Clear All Filters] 2012 Eto, Joseph H., Nancy J. Lewis, David S. Watson, Sila Kiliccote, David M. Auslander, Igor Paprotny, and Yuri V. Makarov. Demand Response as a System Reliability Resource., 2012. 2010 Najafi, Massieh, David M. Auslander, Peter L. Bartlett, Philip Haves, and Michael D. Sohn. "Modeling and Measurement Constraints in Fault Diagnostics for HVAC Systems." ASME Journal of Dynamic Systems, Measurement, and Controls (2010). Najafi, Massieh, David M. Auslander, Philip Haves, and Michael D. Sohn. "A Statistical Pattern Analysis Framework for Rooftop Unit Diagnostics." International Journal of Heating, Ventilating, Air-Conditioning and

50

Quantifying the Energy-Related Costs and Benefits  

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Using Whole-Building Electric Load Data in Using Whole-Building Electric Load Data in Continuous or Retro-Commissioning Phillip N. Price, Johanna L. Mathieu, Sila Kiliccote, Mary Ann Piette Environmental Energy Technologies Division July 2011 This work was conducted at the Lawrence Berkeley National Laboratory under U.S. Department of Energy Contract No. DE-AC02-05CH11231. It was partially funded by the California Energy Commission (CEC) under Contract No. 500-03-026 and the CEC's Public Interest Energy Research (PIER) program's Demand Response Research Center (DRRC) and the Pacific Gas & Electric Company (PG&E). Disclaimer This document was prepared as an account of work sponsored by the United States

51

Microsoft Word - 130926_ICEBO paper_NYC ADR Demo_JKim_SKiliccote_RYin_FINAL  

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

2E 2E Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR Joyce Jihyun Kim, Rongxin Yin, Sila Kiliccote Lawrence Berkeley National Laboratory October 2013 Presented at the International Conference for Enhanced Building Operations (ICEBO) 2013, Montreal, Quebec, October 8-10, 2013 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,

52

2012 Load as a Resource Program Peer Review | Department of Energy  

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

Load as a Resource Program Peer Review Load as a Resource Program Peer Review 2012 Load as a Resource Program Peer Review The Transmission Reliability R&D Load as a Resource (LAAR) Program peer review included 8 presentations on September 20, 2012 at Lawrence Berkeley National Lab. Agenda and presentations are below. 2012 LAAR Program Peer Review - Agenda 2012 LAAR Program Peer Review - Frequency Response Demand - Jeff Dagle, PNNL 2012 LAAR Program Peer Review - Frequency Responsive Load Evaluation and Benefits - Isabelle Snyder, ORNL 2012 LAAR Program Peer Review - Load as a Regulation Resource, Phase 2 - Sila Kiliccote, LBNL 2012 LAAR Program Peer Review - Scoping Study on Industrial Regulation - Nasr Alkadi, ORNL 2012 LAAR Program Peer Review - Integration and Extension of Direct Load Management of Smart Loads - Anna Scaglioni, UC Davis

53

Roger Levy  

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Roger Levy Roger Levy Grid Integration Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90-3111 Berkeley CA 94720 (510) 486-6286 RLevy@lbl.gov This publications database is an ongoing project, and not all Division publications are represented here yet. Publications 2013 Levy, Roger, and Sila Kiliccote. Hawaiian Electric Company Demand Response Roadmap Project Final Report., 2013. Download: PDF (3.33 MB) 2011 Hoffman, Ron, Roger Levy, and Karen Herter. Technical Options to Address Cyber Security, Interoperability and Other Issues with ZigBee SEP., 2011. Download: PDF (824.39 KB) 2010 Goldman, Charles A., Michael Reid, Roger Levy, and Alison Silverstein. Coordination of Energy Efficiency and Demand Response. Berkeley: LBNL, 2010. Download: PDF (364.22 KB) 2004

54

Publications  

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5 results: 5 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is Cody Rose [Clear All Filters] 2013 Olsen, Daniel, Nance Matson, Michael D. Sohn, Cody Rose, Junqiao Han Dudley, Sasank Goli, Sila Kiliccote, Marissa Hummon, David Palchak, Paul Denholm et al. Grid Integration of Aggregated Demand Response, Part 1: Load Availability Profiles and Constraints for the Western Interconnection., 2013. O'Donnell, James, Tobias Maile, Cody Rose, Natasa Mrazovic, Elmer Morrissey, Cynthia Regnier, Kristen Parrish, and Vladimir Bazjanac. Transforming BIM to BEM: Generation of Building Geometry for the NASA Ames Sustainability Base BIM., 2013. 2011 Bazjanac, Vladimir, Tobias Maile, Cody Rose, James O'Donnell, Natasa Mrazovic, Elmer Morrissey, and Benjamin Welle. "An Assessment of the use of

55

The California Advanced Lighting Controls Training Program (CALCTP)  

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The California Advanced Lighting Controls Training Program (CALCTP) The California Advanced Lighting Controls Training Program (CALCTP) Speaker(s): Bernie Kotlier Date: March 2, 2010 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Sila Kiliccote CALCTP is a broad based partnership that is dedicated to advancing the California State policy of energy conservation as the first priority for serving the state's future energy needs. CALCTP is supported, operated and directed by representatives of the California Lighting Technology Center, the California Energy Commission, the California Community College system, investor owned utilities, municipal utilities, electrical contractors, electrical workers, and manufacturers of advanced, high efficiency lighting and lighting control systems. The mission of the California Advanced Lighting Controls Training Program (CALCTP) is to make

56

load_shape_final_lbl_version.dvi  

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44E 44E Quantifying Changes in Building Electricity Use, with Application to Demand Response Johanna L. Mathieu, Phillip N. Price, Sila Kiliccote, Mary Ann Piette Environmental Energy Technologies Division April 2011 Submitted to IEEE Transactions on Smart Grid 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, apparatus, product, or process disclosed, or represents that its use would not infringe

57

Publications  

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44 results: 44 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is Michael D. Sohn [Clear All Filters] In Press Wang, Yungang, Michael D. Sohn, Yilun Wang, Kathleen M. Lask, Thomas W. Kirchstetter, and Ashok J. Gadgil. "How many replicate tests are needed to test cookstove performance and emissions? - Three is not adequate." Energy for Sustainable Development (In Press). 2013 Olsen, Daniel, Nance Matson, Michael D. Sohn, Cody Rose, Junqiao Han Dudley, Sasank Goli, Sila Kiliccote, Marissa Hummon, David Palchak, Paul Denholm et al. Grid Integration of Aggregated Demand Response, Part 1: Load Availability Profiles and Constraints for the Western Interconnection., 2013. Wang, Yungang, Michael D. Sohn, Ashok J. Gadgil, Yilun Wang, Kathleen M.

58

GI12-Paper - DR in AS Markets 20121115 Final  

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8E 8E Demand Response Providing Ancillary Services A Comparison of Opportunities and Challenges in the US Wholesale Markets Jason MacDonald Lawrence Berkeley National Laboratory Peter Cappers Lawrence Berkeley National Laboratory Duncan Callaway University of California, Berkeley Sila Kiliccote Lawrence Berkeley National Laboratory November 2012 Presented at Grid-Interop 2012, Irving, TX, December 3-6, 2012, 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

59

PowerPoint Presentation  

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

Fast Demand Response with Fast Demand Response with Residential and Light Commercial Loads Duncan Callaway, Mark Dyson, Joe Eto, Sila Kiliccote, Jason MacDonald CFY12 CERTS / DOE Internal Program Review Sept 20 2012 Basic question Can smaller loads (residential, light commercial) be profitably engaged in ancillary services? Water Heating 6% Space Heating 10% Ventilation 3% Cooking 1% Cooling 20% Refrigeration 13% Lighting 15% Other, non- thermal 24% Office Equipment 8% Annual electric energy consumption for residential and light commercial loads in the US (Source: EIA) Aggregating small loads: System operator perspective * Benefit: continuous and fast response - Enables higher performance for regulation or load following services * Benefit: Many small loads availability more certain than few larger loads

60

Presentation title goes here  

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DR Technologies, Strategies and DR Technologies, Strategies and Case Studies March 3, 2011 Mary Ann Piette, Sila Kiliccote, Dave Watson, Rish Ghatikar Research Director, DRRC Deputy, Building Technologies Department Staff Scientist, LBNL MAPiette@lbl.gov 2 Concepts and Terminology Levels of Automation in DR * Manual DR - Building operators manually turn off switches and change set points at each device * Labor intensive * Poor reliability, repeatability * Day ahead notification req'd * Semi-Automated DR - pre-programmed DR strategies initiated by a person via centralized control system * Better reliability, repeatability * Hours ahead notification req'd * Fully-Automated DR - pre-programmed DR strategies automatically initiated upon receipt of remote signal * Most reliable & repeatable

Note: This page contains sample records for the topic "motegi sila kiliccote" 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

Proactive Renewables Integration for Utility Distribution Planning and  

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Proactive Renewables Integration for Utility Distribution Planning and Proactive Renewables Integration for Utility Distribution Planning and Operations Speaker(s): Emma Stewart Date: March 5, 2013 - 12:00pm Location: 90-1099 Seminar Host/Point of Contact: Sila Kiliccote The interconnection process can be a laborious and expensive process for both utilities and developers. High PV penetration levels create a number of challenges for the management and operation of the utility grid. This study presents work being completed in Hawaii to improve and innovate the interconnect process, separating perceived issues from real technical concerns. Existing interconnection methods and standards such as IEEE 1547, Hawaii Rule 14H and California Rule 21 are evaluated in emerging high penetration scenarios. These rules define a 15% DG penetration level as a

62

Publications  

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

55 results: 55 results: BibTex RIS RTF XML Sort by: Author Title Type [ Year (Desc) ] Filters: Author is Phillip N. Price [Clear All Filters] 2012 Hult, Erin L., Darryl J. Dickerhoff, and Phillip N. Price. Measurement Methods to Determine Air Leakage Between Adjacent Zones., 2012. Singer, Brett C., William W. Delp, Michael G. Apte, and Phillip N. Price. "Performance of Installed Cooking Exhaust Devices." Indoor Air 22, no. 3 (2012): 224-234. Kiliccote, Sila, Phillip N. Price, Mary Ann Piette, Geoffrey C. Bell, Steve Pierson, Edward Koch, Jeremy Carnam, Hugo Pedro, John Hernandez, and Albert K. Chiu. Field Testing of Automated Demand Response for Integration of Renewable Resources in California's Ancillary Services Market for Regulation Products. LBNL, 2012. 2011

63

Lessons Learned from the Intelligent Workplace Project at Carnegie Mellon  

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Lessons Learned from the Intelligent Workplace Project at Carnegie Mellon Lessons Learned from the Intelligent Workplace Project at Carnegie Mellon University Speaker(s): Sila Kiliccote Date: March 16, 2004 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Francis Rubinstein The Robert L. Preger Intelligent Workplace (IW) at Carnegie Mellon University, which opened in December 1997, is a living laboratory designed to explore how new technologies and concepts can be applied to the built environment to improve building efficiency and human performance. The project's goals are to provide:1) User comfort and satisfaction; 2) Organizational Flexibility; 3) Technological Adaptability; and 4) Environmental Sustainability.At this unique site, the building systems integration issues posed a bigger challenge than expected. Most systems

64

Evaluation of evolving residential electricity tariffs  

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Evaluation of evolving residential electricity tariffs Evaluation of evolving residential electricity tariffs Title Evaluation of evolving residential electricity tariffs Publication Type Conference Paper Year of Publication 2011 Authors Lai, Judy, Nicholas DeForest, Sila Kiliccote, Michael Stadler, Chris Marnay, and Jonathan Donadee Conference Name ECEEE Summer Study, June 6-11, 2011 Date Published 06/2011 Publisher LBNL Conference Location Belambra Presqu'île de Giens, France Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract Residential customers in California's Pacific Gas and Electric (PG&E) territory have seen several electricity rate structure changes in the past decade. A relatively simple two-tiered pricing system (charges by usage under/over baseline for the home's climate zone) was replaced in the summer of 2001 by a more complicated five-tiered system (usage below baseline and up to 30%, 100%, 200%, and 300%+ over baseline). In 2009, PG&E began the process of upgrading its residential customers to Smart Meters and laying the groundwork for time of use pricing, due to start in 2011. This paper examines the history of the tiered pricing system, discusses the problems the utility encountered with its Smart Meter roll out, and evaluates the proposed dynamic pricing incentive structures. Scenario analyses of example PG&E customer bills will also be presented. What would these residential customers pay if they were still operating under a tiered structure, and/or if they participated in peak hour reductions?

65

Understanding the Effect of Baseline Modeling Implementation Choices on  

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Understanding the Effect of Baseline Modeling Implementation Choices on Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance Title Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance Publication Type Conference Paper LBNL Report Number LBNL-5560E Year of Publication 2013 Authors Addy, Nathan, Johanna L. Mathieu, Sila Kiliccote, and Duncan S. Callaway Conference Name ASME 2013 International Mechanical Engineering Congress & Exposition Conference Location Houston, TX Keywords market sectors, technologies Abstract Accurate evaluation of the performance of buildings participating in Demand Response (DR) programs is critical to the adoption and improvement of these programs. Typically, we calculate load sheds during DR events by comparing observed electric demand against counterfactual predictions made using statistical baseline models. Many baseline models exist and these models can produce different shed calculations. Moreover, modelers implementing the same baseline model can make different modeling implementation choices, which may affect shed estimates. In this work, using real data, we analyze the effect of different modeling implementation choices on shed predictions. We focused on five issues: weather data source, resolution of data, methods for determining when buildings are occupied, methods for aligning building data with temperature data, and methods for power outage filtering. Results indicate sensitivity to the weather data source and data filtration methods as well as an immediate potential for automation of methods to choose building occupied modes.

66

Design and Operation of an Open, Interoperable Automated Demand Response  

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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.

67

Price Responsive Demand in New York Wholesale Electricity Market using  

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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.

68

Grid Integration of Aggregated Demand Response, Part 1: Load Availability  

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Grid Integration of Aggregated Demand Response, Part 1: Load Availability Grid Integration of Aggregated Demand Response, Part 1: Load Availability Profiles and Constraints for the Western Interconnection Title Grid Integration of Aggregated Demand Response, Part 1: Load Availability Profiles and Constraints for the Western Interconnection Publication Type Report LBNL Report Number LBNL-6417E Year of Publication 2013 Authors Olsen, Daniel, Nance Matson, Michael D. Sohn, Cody Rose, Junqiao Han Dudley, Sasank Goli, Sila Kiliccote, Marissa Hummon, David Palchak, Paul Denholm, Jennie Jorgenson, and Ookie Ma Date Published 09/2013 Abstract Demand response (DR) has the potential to improve electric grid reliability and reduce system operation costs. However, including DR in grid modeling can be difficult due to its variable and non-traditional response characteristics, compared to traditional generation. Therefore, efforts to value the participation of DR in procurement of grid services have been limited. In this report, we present methods and tools for predicting demand response availability profiles, representing their capability to participate in capacity, energy, and ancillary services. With the addition of response characteristics mimicking those of generation, the resulting profiles will help in the valuation of the participation of demand response through production cost modeling, which informs infrastructure and investment planning.

69

Lighting Group: People  

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People People Lighting Group Staff Phone Mailstop Email Group Leader [area code 510] Rubinstein, Francis 486-4096 90R3111 FMRubinstein@lbl.gov Staff Scientists Berman, Sam 5682 90R3111 Clear, Robert 486-4286 90R3111 RDClear@lbl.gov Research Associates Enscoe, Abby (510) 486 6077 90R3111 AIEnscoe@lbl.gov Fritz, Randolph M. (510) 495 2532 90R3111 RFritz@lbl.gov Ghatikar, Girish 486-6768 90R3111 GGhatikar@lbl.gov Granderson, Jessica 486-7692 90R3111 JGranderson@lbl.gov Howells, Jack 4096 46R0125 MRHowells@lbl.gov Kiliccote, Sila 495-2615 90R3111 SKiliccote@lbl.gov Liu, Gao 7207 70R0108B GLiu@lbl.gov Wen, Yao-Jung 4702 90R3111 YJWen@lbl.gov Yazdanian, Mehry 486-4701 90R3111 MYazdanian@lbl.gov Research Technicians Galvin, James 486-4661 47R0112 JEGalvin@lbl.gov Technical Support DiBartolomeo, Dennis 486-4702 90R3111

70

Web-based energy information systems for large commercial buildings  

E-Print Network (OSTI)

and benchmark energy use among a portfolio of buildings bybenchmark Motegi et al: Web-based Energy Information Systems For Large Commercial Buildings

Motegi, Naoya; Piette, Mary Ann

2003-01-01T23:59:59.000Z

71

Results and commissioning issues from an automated demand response pilot  

E-Print Network (OSTI)

Conference on Building Commissioning. May 2002. Motegi,et al: Results and Commissioning Issues from an AutomatedConference on Building Commissioning: May 1e-20, 2004

Piette, Mary Ann; Watson, Dave; Sezgen, Osman; Motegi, Naoya

2004-01-01T23:59:59.000Z

72

Evaluation of Retrocommissioning Persistence in Large Commercial...  

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Bldg. 90 Seminar HostPoint of Contact: Naoya Motegi Commercial Building Retro-commissioning activity has increased in recent years. Retro-commissioning is a process of...

73

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

74

SANDIA REPORT SAND99-1941  

E-Print Network (OSTI)

-Silas Mason Company at Pantex for providing clarification of the 1945 military regulations governing

Fuerschbach, Phillip

75

Automated Demand Response Technology Demonstration Project for Small and  

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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.

76

Scenario Analysis of Peak Demand Savings for Commercial Buildings with  

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

77

Findings from Seven Years of Field Performance Data for Automated Demand  

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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.

78

Automated Demand Response Technologies and Demonstration in New York City  

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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.

79

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

E-Print Network (OSTI)

S. Kiliccote. EstimatingDemandResponseLoad Impacts:inCalifornia. DemandResponseResearchCenter,LawrenceandTechniquesforDemandResponse. LBNLReport59975.

Kiliccote, Sila

2011-01-01T23:59:59.000Z

80

Field Test Results of Automated Demand Response in a Large Office Building  

E-Print Network (OSTI)

and Techniques for Demand Response, LBNL-59975, May 2007 [Protocol Development for Demand Response Calculation Findsand S. Kiliccote, Estimating Demand Response Load Impacts:

Han, Junqiao

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "motegi sila kiliccote" 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

MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser  

E-Print Network (OSTI)

that dwarf the Sila, the boat used for narwhal tagging/tracking. Courtesy Kristin Laidre. Narwhals. Courtesy

Meyers, Steven D.

82

Web-based Energy Information Systems for Large Commercial Buildings  

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

Web-based Energy Information Systems for Large Commercial Buildings Speaker(s): Naoya Motegi Date: May 2, 2002 - 12:00pm Location: Bldg. 90 Energy Information Systems (EIS), which...

83

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

E-Print Network (OSTI)

14] Common Information Model (CIM) Standards, Distributedwww.dmtf.org/standards/cim/. [15] Motegi, N. , Piette, M.a common information model (CIM). The CIM de?nitions manage

Piette, Mary Ann

2010-01-01T23:59:59.000Z

84

Joint Statement between U.S. Department of Energy and Japan's...  

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

experiment in Alaska. Minister Motegi welcomed the export approval of the Freeport LNG Project on May 17th by DOE. The United States commits to inform Japan about the...

85

Automated Demand Response for Critical Peak Pricing  

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

Automated Demand Response for Critical Peak Pricing Speaker(s): Naoya Motegi Date: June 9, 2005 - 12:00pm Location: Bldg. 90 California utilities have been exploring the use of...

86

District of Columbia | Department of Energy  

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

of Economy, Trade and Industry, Toshimitsu Motegi, and U.S. Secretary of Energy, Ernest Moniz, met on July 24, 2013, in Washington, D.C. Both sides noted the central role played by...

87

How Post-occupancy Evaluation (POE) can help commissioning  

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

How Post-occupancy Evaluation (POE) can help commissioning Speaker(s): Ryota Shirai Date: August 31, 2004 - 12:00pm Location: Bldg. 90 Seminar HostPoint of Contact: Naoya Motegi...

88

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

Conference on Building Commissioning: May 4-6, 2005 Motegi,National Conference on Building Commissioning: May 4-6, 2005Demand Response and Commissioning Mary Ann Piette, David S.

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

2005-01-01T23:59:59.000Z

89

Auto-DR and Pre-cooling of Buildings at Tri-City Corporate Center  

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

Auto-DR and Pre-cooling of Buildings at Tri-City Corporate Center Auto-DR and Pre-cooling of Buildings at Tri-City Corporate Center Title Auto-DR and Pre-cooling of Buildings at Tri-City Corporate Center Publication Type Report LBNL Report Number LBNL-3348e Year of Publication 2008 Authors Yin, Rongxin, Peng Xu, and Sila Kiliccote Keywords auto-dr, building energy simulation tool, demand response, demand shifting (pre-cooling), DRQAT, market sectors, pre-cooling, technologies, testbed tools and guides, thermal mass Abstract Over the several past years, Lawrence Berkeley National Laboratory (LBNL) has conducted field tests for different pre-cooling strategies in different commercial buildings within California. The test results indicated that pre-cooling strategies were effective in reducing electric demand in these buildings during peak periods. This project studied how to optimize pre-cooling strategies for eleven buildings in the Tri-City Corporate Center, San Bernardino, California with the assistance of a building energy simulation tool - the Demand Response Quick Assessment Tool (DRQAT) developed by LBNL's Demand Response Research Center funded by the California Energy Commission's Public Interest Energy Research (PIER) Program. From the simulation results of these eleven buildings, optimal pre-cooling and temperature reset strategies were developed. The study shows that after refining and calibrating initial models with measured data, the accuracy of the models can be greatly improved and the models can be used to predict load reductions for automated demand response (Auto-DR) events. This study summarizes the optimization experience of the procedure to develop and calibrate building models in DRQAT. In order to confirm the actual effect of demand response strategies, the simulation results were compared to the field test data. The results indicated that the optimal demand response strategies worked well for all buildings in the Tri-City Corporate Center. This study also compares DRQAT with other building energy simulation tools (eQUEST and BEST). The comparison indicate that eQUEST and BEST underestimate the actual demand shed of the pre-cooling strategies due to a flaw in DOE2's simulation engine for treating wall thermal mass. DRQAT is a more accurate tool in predicting thermal mass effects of DR events.

90

U.S. State Department's TechWomen 2012 Visit Berkeley Lab  

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

made some wonderful professional contacts," says Essma Redouan-Salah, an Algerian high-energy physicist and Assistant Professor at M'sila University's Faculty of Sciences....

91

Categorical Exclusion Determination Form  

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

(0674-1542) Sila Nanotechnologies Inc. - Doubling the Energy Density of Lithium-Ion Batteries for Transportation Program or Field Office:Advanced Research Projects Agency -...

92

Sorption studies of subsurface pantex soils.  

E-Print Network (OSTI)

??The Pantex Plant is a Department of Energy facility that is jointly managed by Mason and Hanger-Silas Mason Company, Inc., and Battelle Memorial Institute (BMI). (more)

Givens, Dennis R.

1997-01-01T23:59:59.000Z

93

CX-009192 | Department of Energy  

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

9192 CX-009192 (0674-1542) Sila Nanotechnologies Inc. - Doubling the Energy Density of Lithium-Ion Batteries for Transportation CX(s) Applied: B3.6 Date: 08302012 Location(s):...

94

Page not found | Department of Energy  

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

CX-009192 (0674-1542) Sila Nanotechnologies Inc. - Doubling the Energy Density of Lithium-Ion Batteries for Transportation CX(s) Applied: B3.6 Date: 08302012 Location(s):...

95

Modeling, Analysis, and Control of Demand Response Resources  

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

Modeling, Analysis, and Control of Demand Response Resources Speaker(s): Johanna Mathieu Date: April 27, 2012 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact: Sila...

96

STATEMENT OF CONSIDERATIONS CLASS WAIVER OF THE GOVERNMENT'S...  

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

PANTEX PLANT PURSUANT TO THE DEPARTMENT OF ENERGYMASON AND HANGER-SILAS MASON CO., INC., PERFORMANCE-BASED MANAGEMENT CONTRACT NO. DE-AC04-91AL65030 - W(C)95-002 MASON AND...

97

The use of benchmarking at the U.S. Department of Energy`s Pantex Plant  

SciTech Connect

The U.S. Department of Energy`s (DOE`s) Pantex Plant, located in Amarillo, Texas, is responsible for the assembly, stockpile maintenance, and disassembly of nuclear weapons. Pantex is operated by the Mason and Hanger-Silas Mason Co., Inc. The following summarizes the pilot study that was designed to establish Pantex as a leader in using the continuous improvement tool of benchmarking within the DOE`s Nuclear Weapon Complex (NWC). The pilot study was conducted with Mason and Hanger-Silas Mason Co. and Pacific Northwest Laboratory (PNL) personnel during 1992.

Anderson, F.G.; Burling, J.; Moncivais, G.C.; Skelton, R. [Mason and Hanger-Silas Mason Co., Inc., Amarillo, TX (United States); Fulton, J.T.; Hostick, C.J.; Tuttle, T. [Pacific Northwest Lab., Richland, WA (United States)

1993-09-01T23:59:59.000Z

98

Title (Use TitleŽ style here)  

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

Savings and Measure Persistence from Savings and Measure Persistence from Retrocommissioning of Large Commercial Buildings Norman J. Bourassa, Mary Ann Piette, Naoya Motegi - LBNL ABSTRACT Commercial building retrocommissioning activity has increased in recent years. LBNL recently conducted a study of 8 participants in Sacramento Municipal Utility District's (SMUD) retrocommissioning program. We evaluated the persistence of energy savings and measure implementation, in an effort to identify and understand factors that affect the longevity of retrocommissioning benefits. The LBNL analysis looked at whole-building energy and the retrocommissioning measure implementation status, incorporating elements from previous work by Texas A&M University and Portland Energy Conservation Inc. When possible, adjustments due to newly

99

CX-009192  

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

(0674-1542) Sila Nanotechnologies Inc. - Doubling the Energy Density of Lithium-Ion Batteries for Transportation CX(s) Applied: B3.6 Date: 08/30/2012 Location(s): Georgia Offices(s): Advanced Research Projects Agency-Energy

100

STATEMENT OF CONSIDERATIONS CLASS WAIVER OF THE GOVERNMENT'S U.S. AND FOREIGN  

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

PANTEX PLANT PANTEX PLANT PURSUANT TO THE DEPARTMENT OF ENERGY/MASON AND HANGER-SILAS MASON CO., INC., PERFORMANCE-BASED MANAGEMENT CONTRACT NO. DE-AC04-91AL65030 - W(C)95-002 MASON AND HANGER-SILAS MASON CO., INC., (Contractor), manages and operates the Pantex Plant for the Department of Energy (DOE) under Prime Contract No. DE-AC04-91AL65030. Contractor is organized as a large, for-profit corporation. The Pantex Plant is a Government-owned, Contractor-operated facility located near Amarillo, Texas and is a part of the DOE nuclear weapons complex. The recent modification of Section 91 of the Atomic Energy Act, coupled with the National Competitiveness Technology Transfer Act of 1989 (NCTTA)(P.L. 101-189), clarified that technology transfer is a mission of Defense Programs consistent with the national security

Note: This page contains sample records for the topic "motegi sila kiliccote" 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

Bulletin of Tibetology: Volume 11 Number 1 : Full issue  

E-Print Network (OSTI)

, seven or tweno/-one times: OM AMOGHA SILA / SOMBHARA SOMBHARA / BHARA BHARA / MAHA SHUOOHA SATTVA / PAOMA VIBHU SHITA BHUNTZA OHARA OHARA / SAMANTA AVALOKITE HUNG PHAT SWAHA / . NOTE: The Heavenly Steed signifies higher energy; the Elephant... , namely, the Mahayana philosophy; the treatment is designed to meet also the needs of the general reader with an interest in Trans-Himalayan art or Mahayant\\. A glossary in Sanskrit Tibetan, a key...

Namgyal Institute of Tibetology

1974-02-22T23:59:59.000Z

102

Case Studies of Energy Information Systems and Related Technology:  

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

Case Studies of Energy Information Systems and Related Technology: Case Studies of Energy Information Systems and Related Technology: Operational Practices, Costs, and Benefits Speaker(s): Naoya Motegi Date: October 2, 2003 - 12:00pm Location: Bldg. 90 Energy Information Systems (EIS), which can monitor and analyze building energy consumption and related data throughout the Internet, have been increasing in use over the last decade. LBNL has conducted a series of case studies of existing EIS, exploring How is the EIS used in day-to-day operation? What are the costs and benefits of an EIS? Where do the energy savings come from?This study reviews the process of these technologies from installation through energy management practice. The study is based on interviews with operators and energy managers who use EIS. Analysis of

103

NCBC 2005 Proceedings  

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

Conference on Building Commissioning: May 4-6, 2005 Conference on Building Commissioning: May 4-6, 2005 Automated Demand Response and Commissioning Mary Ann Piette, David S. Watson, Naoya Motegi, and Norman Bourassa Lawrence Berkeley National Laboratory Synopsis 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

104

Energy Saving in Office Building by Floor Integration System: Reducing  

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

Energy Saving in Office Building by Floor Integration System: Reducing Energy Saving in Office Building by Floor Integration System: Reducing Total Energy of HVAC and Lighting system using daylight Speaker(s): Yoshifumi Murakami Date: May 20, 2004 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Naoya Motegi Information Technology that is featured by standard communication protocol like Lon Works, BACnet is very useful for managing building systems. Now we can collect much data quickly and easily and to analyze them in detail with this technology. Under the circumstances in that saving energy and reducing CO2 are required strongly, important thing is finding the effective information for building operation and control from collected data and the analysis of them. In our project, the floor integration controller that integrates the each building systems was proposed. It

105

Joint Statement between U.S. Department of Energy and Japan's Ministry of  

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

Joint Statement between U.S. Department of Energy and Japan's Joint Statement between U.S. Department of Energy and Japan's Ministry of Economy, Trade and Industry Joint Statement between U.S. Department of Energy and Japan's Ministry of Economy, Trade and Industry July 24, 2013 - 4:37pm Addthis News Media Contact (202) 586-4940 Japanese Minister of Economy, Trade and Industry, Toshimitsu Motegi, and U.S. Secretary of Energy, Ernest Moniz, met on July 24, 2013, in Washington, D.C. Both sides noted the central role played by the Department of Energy (DOE) and the Ministry of Economy, Trade and Industry (METI) in U.S.-Japan energy cooperation, particularly on energy security matters, civil nuclear energy and clean energy technology research and development (R&D). Both sides expressed their intent to continue strengthening

106

Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California  

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

36E 36E Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California R. Yin, S. Kiliccote, M.A. Piette, 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,

107

Chilled Water Storage System and Demand Response at the University of California at Merced  

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

53E 53E Chilled Water Storage System and Demand Response at the University of California at Merced J. Granderson, J.H. Dudley, S. Kiliccote, M.A. Piette Environmental Energy Technologies Division September 2009 Presented at the 9 th International Conference for Enhanced Building Operations, Austin, TX, November 17-18, 2009, 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,

108

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


109

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,

110

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,

111

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.

112

U.S. DEPARTl\IENT OF ENERGY EERE PROJECT MANAG EMENT CENTER  

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

DETERMINATION DETERMINATION RECIPI ENT:Prince William County, Virginia PROJECT TITLE: Energy Efficient Building Upgrades Page 1 of2 STATE: VA Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number DE-FOA-OOOOO13 DE-EE0000867.001 0 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 4SI.lA). I have made the fo llowing determ ination: ex, EA, EIS APPENDIX AND NUMBER: Description: 85.1 Actions to conserve energy, demonstrate potential energy conservation, and promote energy-efficiency that do not increase the indoor concentrations of potentially harmful substances. These actions may involve financial and technical assistance to individuals (such as builders, owners, consuHants, designers), organizations (such as utilities), and state

113

DOE/EA-1357; Presidential Permit PP-226, Brownsville Public Utilities Board (8/2001)  

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

Brownsville Public Utilities Board Brownsville Public Utilities Board FE Docket PP-226 On June 23, 2000, Brownsville Public Utilities Board (BPUB) filed an application with the Office of Fossil Energy (FE) of the Department of Energy (DOE) for a Presidential permit to construct, operate, maintain and connect an electric transmission line that would cross the U.S. border with Mexico. BPUB proposes to construct a double-circuit 138,000 volt (138-kV) transmission line from its Silas Ray Power Plant, located in Brownsville, Texas, and extending approximately 3,000 feet to the U.S.-Mexico border. At the border the transmission circuits would interconnect with similar facilities of the Comision Federal de Electricidad (CFE), the national electric utility of Mexico, and continue an additional 1.7 miles into Matamoros, Mexico. The facilities would be used to deliver up to

114

U.S. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION  

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

OF ENERGY OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION RECIPIENT:County of Waukesha, WI PROJECT TITLE: EECBG- Energy Distribution - Project Activity 5 Page lof3 STATE: WI Funding Opportunity Announc:ement Number Procurement Instrument Number NEPA Control Number etD Number DE-FOAOOOO13 DE-EEOOOOB41 0 Based on my review of the information (oDeerning the proposed atflon, as NEPA Compliance Officer (authorized under DOE Order 4SI.lA), I bave made the following detenninafion: ex, EA, EIS APPENDIX AND NUMBER: Description: 85.1 AClJOns to (XInserve energy, demonstrate potential energy conservation, and promote energy-efficiency that do not increase the indoor concentrations of potentially harmful substances. These actions may involve financial and technical

115

RECIPIENT:Wavebob, LLC u.s. DEPARThIENT OF ENERGY EERE PROJECT MANAGEMENT CENTER  

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

Wavebob, LLC Wavebob, LLC u.s. DEPARThIENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERl\HNATION PROJECT TITLE: Wavebob Advanced Wave Energy Conversion Project Page 1 of2 STATE: MD Funding Opportunity AnDounc~ment Number Procurement instrument Number NEPA Control Number ern Number DE-FOA-OOOO293 OE-EEOOO3641 GFO-OOO3641-OO1 0 Based on my review oflbe information cODcel"ning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 4SI.lA), I baye made the follOwing determination: ex, EA, EIS APPENDIX AND NUMBER: Description: A9 Infonnation gathering (including, but not limited 10, literature surveys, inventories, audits), data analysis (including computer modeling), document preparation (such as conceptual design or feasibility studies, analytical energy supply

116

u.s. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERl\IINATION  

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

DETERl\IINATION DETERl\IINATION RECIPIENT:Colorado Energy Office PROJECT TITLE: COLORADO SEP ANNUAL - PY12 Page 1 of2 STATE: CO Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number DE-FOA-0000643 NT43196 GF0-0043196-001 Based on my review ofthe information concerning the Pr1lPOs~ action, as NEPA Compliance Officer (authorized under DOE Order 4SI.lA), I have made the following determination: ex, EA, [IS APPENDIX AND NUMBER: Description: A11 Technical advice and assistance to org anizations Technical advice and planning assistance to international, national, state, and local organizations. A9 Inform at/on gathering , analysis, and d issemination Infonnation gathering (induding, but nol limited 10, literature surveys, inventories. site visits, and

117

RECIPIENT: NREL U.S. DEPARTM ENT OF ENERGY EERE PROJECT M ANAGEM  

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

DEPARTM DEPARTM ENT OF ENERGY EERE PROJECT M ANAGEM ENT CENTER NTI'A DETERMINATION PROJECf TITLE : FTLB 158-03 Install Condensing Unit; NREL Tracking No. 11-020 Page 1 of2 STATE: CO Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number em Number NREL-11-020 G010337 Based on my review orehe information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 4SI.lA), I have made t he (ollowing determination: ex, EA, EIS APPENDIX AND NUMBER: Description: DOE/EA· Final Site-Site Wide Environmental Assessment of the National Renewable Energy Laboratory's (NREL) South 1440 Table Mountain Complex (February 2003) 8 1.4 Installation or modification of air conditioning systems required for temperature control for operation of existing

118

EA-1357: Finding of No Significant Impact | Department of Energy  

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

357: Finding of No Significant Impact 357: Finding of No Significant Impact EA-1357: Finding of No Significant Impact Presidential Permit PP-26, Brownsville Public Utilities Board, Brownsville to Mexico 138 kV Transmission Line Project, Brownsville, Texas On June 23, 2000, Brownsville Public Utilities Board (BPUB) filed an application with the Office of Fossil Energy (FE) of the Department of Energy for a Presidential permit to construct, operate, maintain and connect an electric transmission line that would cross the U.S. border with Mexico. BPUB proposes to construct a double-circuit 138,000 volt (138-kV) transmission line from its Silas Ray Power Plant, located in Brownsville, Texas, and extending approximately 3,000 feet to the U.S.-Mexico border. At the border the transmission circuits would interconnect with similar

119

Page not found | Department of Energy  

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

81 - 890 of 26,777 results. 81 - 890 of 26,777 results. Download WC_1995_002_PETITION_FOR_CLASS_WAIVER_FOR_MASON__HANGER_SILA.pdf http://energy.gov/gc/downloads/wc1995002petitionforclasswaiverformasonhangersilapdf Download DOE Transition Documents- 2008 Following are the DOE Transition Documents - 2008 http://energy.gov/management/downloads/doe-transition-documents-2008 Download WC_1993_007_CLASS_WAIVER_of_the_Governments_US_and_Foreign_P.pdf http://energy.gov/gc/downloads/wc1993007classwaiverofthegovernmentsusandforeignppdf Download Document http://energy.gov/management/downloads/document-9 Download Enron Documents 2000 http://energy.gov/management/downloads/enron-documents-2000 Download WC_2004_003_CLASS_WAIVER_FOR_WESTINGHOUSE_SAVANNAH_RIVER_PER.pdf http://energy.gov/gc/downloads/wc2004003classwaiverforwestinghousesavannahriverperpdf

120

DEPARTMENT OF ENER GY EERE PROJECT M~~AGEMENT CE"lTER  

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

ENER ENER GY EERE PROJECT M~~AGEMENT CE"lTER NEPA DETERMINATION RECIPIENT: Youngstown State University PROJECT TITLE: Center for Efficiency in Sustainable Energy Systems Page 1 of2 STATE : OH Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number em Number DE-EEOOOO366 GFQ-10-143 0 Based on my review arlhe information concerning tbe proposed action, as NEPA Compliance Offictr (authorized under DOE O rder 4SI.lA), I have made the following determination: ex, EA, [IS APPENDIX AND NUMBER: Description: A9 Infonnation galhenng (including, but oot limited to, literature surveys, inventones, audits), data analYSIs (induding computer modeling), document preparation (such as cooceptual design or feasibility studies, analytical energy supply

Note: This page contains sample records for the topic "motegi sila kiliccote" 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

U.S. DEPARTMENT OF ENl'RGY EERE PROJECT MANAGEMENT CENTER NFPA DFIFIU.llNATION  

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

ENl'RGY ENl'RGY EERE PROJECT MANAGEMENT CENTER NFPA DFIFIU.llNATION RECIPIENT: Unlverslty of Maine at Presque Isle PROJECT TITLE: Solar Energy for the North Page I of2 STATE: ME Funding Opportunity Announcement Number FY 2010 COP Procurt'mcnt Instrument Number EEOOO3185 NEPA Control Number cm Number GFO-OO03185-OO1 EE3185 Based on my rt'yiew oftbe information concerning tbe proposed action, as NEPA Compliance Officer (authorized under DOE Order 4SI.lA), I baye made the following determination: C X, EA, EIS APPENDIX AND NUMBER: Description: A9 Information gathering (including, but not limited to, literature surveys, inventories, audits), data analysis (including computer modeling), document preparation (such as conceptual design or feasibility studies, analytical energy supply

122

DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPADETEmITNATION  

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

NEPADETEmITNATION NEPADETEmITNATION Page 1 of2 RECIPIENT:MiSSQuri Department of Natural Resources ~ Division of Energy STATE: MO PROJECf TITLE: ARRA Energized Missouri Water Loan project al City of Maryville I<'unding Opportunity Announcement Number DE-FOA-OOOO52 Procurement Instrument Number NEPA Control Number CID Number EE0000131 GFO-OOO131-043 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 4SI.lA), I have made the following determination: ex, EA, EIS APPENDIX AND NUMBER: Description: 85.2 Modifications to pumps and piping 65.1 Actions to conserve energy or water Modifications to existing pump and piping configurations (including, but not limited to, manifolds, metering systems, and other instrumentation on such configurations conveying materials such as air, brine, carbon

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Page not found | Department of Energy  

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

61 - 24070 of 31,917 results. 61 - 24070 of 31,917 results. Download CX-009192 (0674-1542) Sila Nanotechnologies Inc. - Doubling the Energy Density of Lithium-Ion Batteries for Transportation CX(s) Applied: B3.6 Date: 08/30/2012 Location(s): Georgia Offices(s): Advanced Research Projects Agency-Energy http://energy.gov/nepa/downloads/cx-009192 Article Department of Energy Formally Commits $1 Billion in Recovery Act Funding to FutureGen 2.0 U.S. Energy Secretary Steven Chu today announced that the Department of Energy has signed final cooperative agreements with the FutureGen Industrial Alliance and Ameren Energy Resources that formally commit $1 billion in Recovery Act funding to build FutureGen 2.0. http://energy.gov/fe/articles/department-energy-formally-commits-1-billion-recovery-act

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U.S. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION  

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

ldaho Office of Energy Resources ldaho Office of Energy Resources PROJECT TITLE: SEP ARRA REEZ· City of Sandpoint Vl/WTP - Phase II Page 1 of2 STATE: 10 Funding Opportunity Announcement Number P~u.-ement loUrumeDt Number NEPA Control Number CID Number DE-FOA-QOOOOS2 OE-EEOOOO141 GFOOOOO141-015 EE141 Based on my ",view of the information concerning the proposed aellon, as NEPA Complianee Omcer (authorized under DOE Order 4SI.lA).1 have made the (ollowlng determination: ex. EA, EIS APPENDIX AND NUMBER: Description: 8 5.21 Meth ane gas recovery and utilization system s The installation, modification, operation, and removal of commercially available methane gas recovery and utilization systems Installed within a previously disturbed or developed area on or contiguous to an existing landfill or wastewater treatment plant

125

U.S. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DE1'ERl\fiNATION  

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

DE1'ERl\fiNATION DE1'ERl\fiNATION RECIPIENT:Office of Energy Development PROJECT TITLE : SEP Formula Grant for the State of Utah Page I of3 STATE: UT Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number elD Number DE·FOA-0000643 NT43206 GF0-00432Q6.001 BaSC'd on my review ofthe information concerning tbe proposed action, as NEPA Compliance Officer (authoru£d under DOE Order 4SI.lA), I ban made the following determination: ex, EA, EIS APPENDIX AND NUMBER: Description: A9 Inf ormation gathering, analysis, and dissemination A1 1 Technical advice and assistance to organizations Rational for detennination: Information gathering (including. but ooliimiled 10, literature surveys, inventories, site visits, and audits), data analysis (induding, but nollimited to, computer modeling), document preparation

126

DOE - Office of Legacy Management -- Iowa Army Ammunition Plant - IA 02  

Office of Legacy Management (LM)

Army Ammunition Plant - IA 02 Army Ammunition Plant - IA 02 FUSRAP Considered Sites Iowa Army Ammunition Plant, IA Alternate Name(s): Burlington Ordnance Plant Iowa Ordnance Plant Silas Mason Company IA.02-3 Location: Located in Township 70 North, Range 3 West, Section 32, 5th Principal Meridian, Des Moines County, Burlington, Iowa IA.02-1 IA.02-5 Historical Operations: Assembled nuclear weapons, primarily high explosive components and conducted explosives testing using the high explosive components and depleted uranium. AEC and ERDA operations conducted under permit from the Department of the Army. IA.02-3 IA.02-4 Eligibility Determination: Eligible IA.02-5 Radiological Survey(s): Assessment Survey IA.02-2 Site Status: Cleanup pending by U.S. Army Corps of Engineers. IA.02-6

127

Page not found | Department of Energy  

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

71 - 15580 of 29,416 results. 71 - 15580 of 29,416 results. Download CX-009192 (0674-1542) Sila Nanotechnologies Inc. - Doubling the Energy Density of Lithium-Ion Batteries for Transportation CX(s) Applied: B3.6 Date: 08/30/2012 Location(s): Georgia Offices(s): Advanced Research Projects Agency-Energy http://energy.gov/nepa/downloads/cx-009192 Download CX-009194: Categorical Exclusion Determination (0674-1610) TVN Systems, Inc. - Hydrogen/Bromine Electrical Energy Storage System CX(s) Applied: B3.6 Date: 09/06/2012 Location(s): Kansas, Tennessee Offices(s): Advanced Research Projects Agency-Energy http://energy.gov/nepa/downloads/cx-009194-categorical-exclusion-determination Download CX-009522: Categorical Exclusion Determination Nevada-City-North Las Vegas CX(s) Applied: A1, A9, B1.32, B2.5, B5.1

128

An Evaluation of Savings and Measure Persistence from Retrocommissioning of  

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

An Evaluation of Savings and Measure Persistence from Retrocommissioning of An Evaluation of Savings and Measure Persistence from Retrocommissioning of Large Commercial Buildings Title An Evaluation of Savings and Measure Persistence from Retrocommissioning of Large Commercial Buildings Publication Type Conference Paper LBNL Report Number LBNL-54986 Year of Publication 2004 Authors Bourassa, Norman, Mary Ann Piette, and Naoya Motegi Conference Name 2004 ACEEE Summer Study on Energy Efficiency in Buildings Date Published 05/2004 Conference Location Pacific Grove, CA Call Number LBNL-54986 Abstract Commercial building retrocommissioning activity has increased in recent years. LBNL recently conducted a study of 8 participants in Sacramento Municipal Utility District's (SMUD) retrocommissioning program. We evaluated the persistence of energy savings and measure implementation, in an effort to identify and understand factors that affect the longevity of retrocommissioning benefits. The LBNL analysis looked at whole-building energy and the retrocommissioning measure implementation status, incorporating elements from previous work by Texas A&M University and Portland Energy Conservation Inc. When possible, adjustments due to newly discovered major end uses, occupancy patterns and 2001 energy crisis responses were included in the whole-building energy analysis. The measure implementation analysis categorized each recommended measure and tracked the measures to their current operational status. Results showed a 59% implementation rate of recommended measures. The whole-building energy analysis showed an aggregate electricity savings of approximately 10.5% in the second post-retrocommissioning year, diminishing to approximately 8% in the fourth year. Results also showed the 2001 energy crisis played a significant role in the post-retrocommissioning energy use at the candidate sites. When natural gas consumption was included in the analysis, savings were reduced slightly, showing the importance in considering interactive effects between cooling and heating systems. The cost effectiveness of retrocommissioning was very attractive at the sites studied. However, funding for retrocommissioning activities is still very constrained.

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All General Counsel Reports | Department of Energy  

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

9_018_TEXACO_ENERGY_SYSTEMS_Waiver_of_Domestic_and_Forei.pdf 9_018_TEXACO_ENERGY_SYSTEMS_Waiver_of_Domestic_and_Forei.pdf July 27, 2011 WC_2001_002_CLASS_WAIVER_To_FACULTY_MEMBERS_OF_HISTORICALLY_.pdf July 27, 2011 WA_02_010_GENERAL_ELECTRIC_Waiver_of_Domestic_and_Foreign_Ri.pdf July 27, 2011 WA_04_002_UNITED_TECHNOLOGIES_Rapid_Deployment_of_Rich_Catal.pdf July 27, 2011 WC_1995_002_PETITION_FOR_CLASS_WAIVER_FOR_MASON__HANGER_SILA.pdf July 27, 2011 WA_05_012_CUMMINS_WESTPORT_INC_Waiver_of_Domestic_and_Foreig.pdf July 27, 2011 WC_1995_011_CLASS_WAIVER_for_KAISER_HILL_CO_Management_Contr.pdf July 27, 2011 WA_02_052_CARGILL_DOW_Waiver_of_Domestic_and_Foreign_Patent_.pdf July 27, 2011 WA_98_007_SOLAREX_Waiver_of_Domestic_and_Foreign_Patent_Righ.pdf July 27, 2011 SRC_Comments_Re_Technology_Transfer.pdf previous 76 77 78 79 80 81 82 83