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Note: This page contains sample records for the topic "miscellaneous electric loads" 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.


1

Analysis and Representation of Miscellaneous Electric Loads in NEMS -  

Gasoline and Diesel Fuel Update (EIA)

Analysis and Representation of Miscellaneous Electric Loads in NEMS Analysis and Representation of Miscellaneous Electric Loads in NEMS Release date: January 6, 2014 Miscellaneous Electric Loads (MELs) comprise a growing portion of delivered energy consumption in residential and commercial buildings. Recently, the growth of MELs has offset some of the efficiency gains made through technology improvements and standards in major end uses such as space conditioning, lighting, and water heating. Miscellaneous end uses, including televisions, personal computers, security systems, data center servers, and many other devices, have continued to penetrate into building-related market segments. Part of this proliferation of devices and equipment can be attributed to increased service demand for entertainment, computing, and convenience appliances.

2

Building America System Research Plan for Reduction of Miscellaneous Electrical Loads in Zero Energy Homes  

SciTech Connect (OSTI)

This research plan describes the overall scope of system research that is needed to reduce miscellaneous electrical loads (MEL) in future net zero energy homes.

Barley, C. D.; Haley, C.; Anderson, R.; Pratsch, L.

2008-11-01T23:59:59.000Z

3

A literature survey on measuring energy usage for miscellaneous electric loads in offices and commercial buildings  

Science Journals Connector (OSTI)

Abstract This paper presents the current state of the art regarding work performed related to the electric energy consumption for Information and Communication Technologies (ICTs) and Miscellaneous Electric Loads (MELs), in office and commercial buildings. Techniques used for measuring the energy consumption of office plug loads, and efforts for saving energy by using this equipment more rationally and efficiently are identified and categorized. Popular methods and techniques for energy metering are discussed, together with efforts to classify and benchmark office equipment. Our study reveals that many issues are still open in this domain, including more accurate, diverse and meaningful energy audits for longer time periods, taking into account device profiles, occupant behavior and environmental context. Finally, there is a need for a global consensus on benchmarking and performance metrics, as well as a need for a coordinated worldwide activity for gathering, sharing, analyzing, visualizing and exposing all the silos of information relating to plug loads in offices and commercial buildings.

Andreas Kamilaris; Balaji Kalluri; Sekhar Kondepudi; Tham Kwok Wai

2014-01-01T23:59:59.000Z

4

Monitoring and Characterization of Miscellaneous Electrical Loads in a Large Retail Environment  

SciTech Connect (OSTI)

Buildings account for 40% of primary energy consumption in the United States (residential 22%; commercial 18%). Most (70% residential and 79% commercial) is used as electricity. Thus, almost 30% of U.S. primary energy is used to provide electricity to buildings. Plug loads play an increasingly critical role in reducing energy use in new buildings (because of their increased efficiency requirements), and in existing buildings (as a significant energy savings opportunity). If all installed commercial building miscellaneous electrical loads (CMELs) were replaced with energy-efficient equipment, a potential annual energy saving of 175 TWh, or 35% of the 504 TWh annual energy use devoted to MELs, could be achieved. This energy saving is equivalent to the annual energy production of 14 average-sized nuclear power plants. To meet DOE's long-term goals of reducing commercial building energy use and carbon emissions, the energy efficiency community must better understand the components and drivers of CMEL energy use, and develop effective reduction strategies. These goals can be facilitated through improved data collection and monitoring methodologies, and evaluation of CMELs energy-saving techniques.

Gentile-Polese, L.; Frank, S.; Sheppy, M.; Lobato, C.; Rader, E.; Smith, J.; Long, N.

2014-02-01T23:59:59.000Z

5

MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR  

E-Print Network [OSTI]

LBNL-40295 UC-1600 MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR M. C. Sanchez, J. G-up model of the miscellaneous electricity end use. Using shipment data and a consistent stock accounting-2010). Our study has two components: a historical analysis of miscellaneous electricity use (1976- 1995

6

Miscellaneous and Electronic Loads Energy Efficiency Opportunities for  

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

Miscellaneous and Electronic Loads Energy Efficiency Opportunities for Miscellaneous and Electronic Loads Energy Efficiency Opportunities for Commercial Buildings: A Collaborative Study by the United States and India Title Miscellaneous and Electronic Loads Energy Efficiency Opportunities for Commercial Buildings: A Collaborative Study by the United States and India Publication Type Report Refereed Designation Unknown LBNL Report Number LBNL-6287E Year of Publication 2013 Authors Ghatikar, Girish, Iris H. Y. Cheung, and Steven Lanzisera Secondary Authors Wardell, Bob, Manoj Deshpande, Jayraj Ugarkar, and Infosys Technologies Limited Date Published 04/2013 Keywords Electronic loads, energy efficiency opportunities for commercial buildings Short Title MELs Refereed Designation Unknown Attachment Size PDF 1.44 MB Google Scholar BibTex

7

Detailed Energy Data Collection for Miscellaneous and Electronic Loads in a Commercial Office Building  

E-Print Network [OSTI]

Detailed Energy Data Collection for Miscellaneous and Electronic Loads in a Commercial Office Miscellaneous and electronic loads (MELs) consume about 20% of the primary energy used in U.S. buildings and accurate data to inform MELs energy use. Introduction Background Buildings account for 40% of the total

Culler, David E.

8

Miscellaneous Electricity Services in the Buildings Sector (released in AEO2007)  

Reports and Publications (EIA)

Residential and commercial electricity consumption for miscellaneous services has grown significantly in recent years and currently accounts for more electricity use than any single major end-use service in either sector (including space heating, space cooling, water heating, and lighting). In the residential sector, a proliferation of consumer electronics and information technology equipment has driven much of the growth. In the commercial sector, telecommunications and network equipment and new advances in medical imaging have contributed to recent growth in miscellaneous electricity use.

2007-01-01T23:59:59.000Z

9

After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-Load Equipment  

E-Print Network [OSTI]

LBNL-53729 After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-Load To download this paper and related data go to: http://enduse.lbl.gov/Projects/OffEqpt.html The work described.................................................................................................................................................5 Office Equipment Data Collection

10

Electrical and Production Load Factors  

E-Print Network [OSTI]

, Texas Abstract Load factors and operating hours of small and medium-sized industrial plants are analyzed to classify shift-work patterns and develop energy conservation diagnostic tools. This paper discusses two types of electric load factors... for each shift classification within major industry groups. The load factor based on billing hours (ELF) increases with operating hours from about 0.4 for a nominal one shift operation, to about 0.7 for around-the-clock operation. On the other hand...

Sen, T.; Heffington, W. M.

11

Appliances, Lighting, Electronics, and Miscellaneous Equipment Electricity Use in New Homes  

E-Print Network [OSTI]

contributor to annual electricity consumption, and certainplay in “Other” electricity consumption in new homes, andor range. “Other” electricity consumption was derived by

Brown, Richard E.; Rittelman, William; Parker, Danny; Homan, Gregory

2007-01-01T23:59:59.000Z

12

Appliances, Lighting, Electronics, and Miscellaneous EquipmentElectricity Use in New Homes  

SciTech Connect (OSTI)

The "Other" end-uses (appliances, lighting, electronics, andmiscellaneous equipment) continue to grow. This is particularly true innew homes, where increasing floor area and amenities are leading tohigher saturation of these types of devices. This paper combines thefindings of several field studies to assess the current state ofknowledge about the "Other" end-uses in new homes. The field studiesinclude sub-metered measurements of occupied houses in Arizona, Florida,and Colorado, as well as device-level surveys and power measurements inunoccupied new homes. We find that appliances, lighting, electronics, andmiscellaneous equipment can consume from 46 percent to 88 percent ofwhole-house electricity use in current low-energy homes. Moreover, theannual consumption for the "Other" end-uses is not significantly lower innew homes (even those designed for low energy use) compared to existinghomes. The device-level surveys show that builder-installed equipment isa significant contributor to annual electricity consumption, and certaindevices that are becoming more common in new homes, such as structuredwiring systems, contribute significantly to this power consumption. Thesefindings suggest that energy consumption by these "Other" end uses isstill too large to allow cost-effective zero-energy homes.

Brown, Richard E.; Rittelman, William; Parker, Danny; Homan,Gregory

2007-02-28T23:59:59.000Z

13

System and method employing a minimum distance and a load feature database to identify electric load types of different electric loads  

DOE Patents [OSTI]

A method identifies electric load types of a plurality of different electric loads. The method includes providing a load feature database of a plurality of different electric load types, each of the different electric load types including a first load feature vector having at least four different load features; sensing a voltage signal and a current signal for each of the different electric loads; determining a second load feature vector comprising at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the different electric loads; and identifying by a processor one of the different electric load types by determining a minimum distance of the second load feature vector to the first load feature vector of the different electric load types of the load feature database.

Lu, Bin; Yang, Yi; Sharma, Santosh K; Zambare, Prachi; Madane, Mayura A

2014-12-23T23:59:59.000Z

14

Pollution prevention assessment for a manufacturer of electrical load centers  

SciTech Connect (OSTI)

The US Environmental Protection Agency (EPA) has funded a pilot project to assist small and medium-size manufacturers who want to minimize their generation of waste but who lack the expertise to do so. In an effort to assist these manufacturers Waste Minimization Assessment Centers (WMACs) were established at selected universities and procedures were adapted from the EPA Waste Minimization Opportunity Assessment Manual. The WMAC team at the University of Tennessee performed an assessment at a plant that manufacturers electrical load centers. Raw materials, including coiled sheet steel and coiled copper strips, polystyrene pellets, and miscellaneous fasteners, are used in metal-working, injection molding, painting, and assembly operations. The team`s report, detailed findings and recommendations, indicated that a large quantity of waste overflow rinse water is generated and that significant cost savings could be achieved by installing valves that will allow operators to turn off the flow during periods of nonuse. This Research Brief was developed by the principal investigators and EPA`s National Risk Management Research Laboratory, Cincinnati, OH, to announce key findings of an ongoing research project that is fully documented in a separate report of the same title available from University City Science Center.

Jendrucko, R.J.; Thomas, T.M. [Univ. of Tennessee, Knoxville, TN (United States). Dept. of Engineering Science and Mathematics; Looby, G.P. [University City Science Center, Philadelphia, PA (United States)

1995-09-01T23:59:59.000Z

15

Field data collection of miscellaneous electrical loads in Northern California: Initial results  

E-Print Network [OSTI]

with Rising Sun’s free energy audit program known as thetarget for performing energy audits, the incremental effortprescheduled for the energy audits. Training Process We met

Greenblatt, Jeffery B.

2013-01-01T23:59:59.000Z

16

Field data collection of miscellaneous electrical loads in Northern California: Initial results  

E-Print Network [OSTI]

ovens/toasters, rice/slow cookers and wine chillers). Theseinclude a DSL modem and a wireless router. Rice Cookers/Slow Cookers: These devices consist of an enclosed volume (

Greenblatt, Jeffery B.

2013-01-01T23:59:59.000Z

17

Empirical Characterization and Modeling of Electrical Loads in Smart Homes  

E-Print Network [OSTI]

in data analysis: i) generating device-accurate synthetic traces of building electricity usage, and ii) filtering out loads that generate rapid and random power variations in building electricity data. Keywords--ElectricalEmpirical Characterization and Modeling of Electrical Loads in Smart Homes Sean Barker, Sandeep

Shenoy, Prashant

18

electric load data | OpenEI Community  

Open Energy Info (EERE)

load data Home Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 Commercial and Residential Hourly Load Data Now Available on OpenEI building load building...

19

Prediction of Electric Load using Kohonen Maps -Application to the Polish Electricity Consumption  

E-Print Network [OSTI]

Prediction of Electric Load using Kohonen Maps - Application to the Polish Electricity Consumption on Kohonen maps is proposed. This method is applied to the prediction of the Polish electricity consumption of the electric load is specific. For each day, we have 24 values (or more) of the electricity consumption

Verleysen, Michel

20

Determining Electric Motor Load and Efficiency  

Broader source: Energy.gov [DOE]

To compare the operating costs of an existing standard motor with an appropriately-sized energy-efficient replacement, you need to determine operating hours, efficiency improvement values, and load. Part-load is a term used to describe the actual load served by the motor as compared to the rated full-load capability of the motor. Motor part-loads may be estimated through using input power, amperage, or speed measurements. This fact sheet briefly discusses several load estimation techniques.

Note: This page contains sample records for the topic "miscellaneous electric loads" 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

California Customer Load Reductions during the Electricity Crisis...  

Open Energy Info (EERE)

Reductions during the Electricity Crisis: Did They Help to Keep the Lights On? Jump to: navigation, search Tool Summary LAUNCH TOOL Name: California Customer Load Reductions during...

22

Electrical Energy Conservation and Load Management - An Industrial User's Viewpoint  

E-Print Network [OSTI]

Conservation of electrical energy and load management can reduce industry's electric bills, conserves natural resources and reduces the need for new generating plants. In recent years, industry has implemented extensive conservation programs. Some...

Jackson, C. E.

1984-01-01T23:59:59.000Z

23

Inventory of miscellaneous streams  

SciTech Connect (OSTI)

Miscellaneous streams discharging to the soil column on the Hanford Site are subject to requirements of several milestones identified in Consent Order No. DE 9INM-177 (Ecology and DOE 1991). The Plan and Schedule for Disposition and Regulatory Compliance for Miscellaneous Stream (DOE/RL-93-94) provides a plan and schedule for the disposition of miscellaneous streams to satisfy one of the Section 6.0 requirements of the Consent Order. One of the commitments (Activity 6-2.2) established in the plan and schedule is to annually update, the miscellaneous streams inventory. This document constitutes the 1998 revision of the miscellaneous streams inventory. Miscellaneous stream discharges were grouped into four permitting categories (Table 1). The first miscellaneous streams Permit (ST 4508) was issued May 30, 1997, to cover wastewater discharges from hydrotesting, maintenance, and construction activities. The second miscellaneous streams Permit (ST4509) covers discharges from cooling water and condensate discharges. The third permit application for category three waste streams was eliminated by recategorizing waste streams into an existing miscellaneous streams permit or eliminating stream discharges. Elimination of the third categorical permit application was approved by Ecology in January 1997 (Ecology 1997). The fourth permit application, to cover storm water, is due to Ecology in September 1998. Table 1 provides a history of the miscellaneous streams permitting activities.

Haggard, R.D.

1998-08-14T23:59:59.000Z

24

A model for short term electric load forecasting  

E-Print Network [OSTI]

A MODEL FOR SHORT TERM ELECTRIC LOAD FORECASTING A Thesis by JOHN ROBERT TIGUE, III Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1975 Major... Subject: Electrical Engineering A MODEL FOR SHORT TERM ELECTRIC LOAD FORECASTING A Thesis by JOHN ROBERT TIGUE& III Approved as to style and content by: (Chairman of Committee) (Head Depart t) (Member) ;(Me r (Member) (Member) May 1975 ABSTRACT...

Tigue, John Robert

1975-01-01T23:59:59.000Z

25

Methods for Analyzing Electric Load Shape and its Variability  

SciTech Connect (OSTI)

Current methods of summarizing and analyzing electric load shape are discussed briefly and compared. Simple rules of thumb for graphical display of load shapes are suggested. We propose a set of parameters that quantitatively describe the load shape in many buildings. Using the example of a linear regression model to predict load shape from time and temperature, we show how quantities such as the load?s sensitivity to outdoor temperature, and the effectiveness of demand response (DR), can be quantified. Examples are presented using real building data.

Price, Philip

2010-05-12T23:59:59.000Z

26

Evaluation of miscellaneous and electronic device energy use in hospitals  

Science Journals Connector (OSTI)

Miscellaneous and electronic loads (MELs) consume about one-third of the primary energy used in US buildings, and their energy use is increasing faster than other end-uses. In healthcare facilities, 30% of the annual electricity was used by MELs in 2008. This paper presents methods and challenges for estimating medical MELs energy consumption along with estimates of energy use in a hospital by combining device-level metered data with inventories and usage information. An important finding is that common, small devices consume large amounts of energy in aggregate and should not be ignored when trying to address hospital energy use.

Douglas R. Black; Steven M. Lanzisera; Judy Lai; Richard E. Brown; Brett C. Singer

2013-01-01T23:59:59.000Z

27

Electric Load vs Time: Complicated World, Complicated Model  

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

Electric Load vs Time: Complicated World, Complicated Model Electric Load vs Time: Complicated World, Complicated Model Speaker(s): Phillip Price Date: March 7, 2013 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Phillip Price "How much energy did I save by changing the operation of my building yesterday?" That turns out to be a very hard question to answer: you need to know how much energy you would have used under normal operations (the "baseline"), a number you can predict but not measure. In this talk we focus specifically on electrical energy ("electric load") in commercial buildings. Often the load can be broken down into several components that are superimposed on each other: a recurring weekly pattern, an effect of outdoor air temperature, and so on. Some buildings have patterns that are

28

California Customer Load Reductions during the Electricity Crisis: Did They  

Open Energy Info (EERE)

California Customer Load Reductions during the Electricity Crisis: Did They California Customer Load Reductions during the Electricity Crisis: Did They Help to Keep the Lights On? Jump to: navigation, search Tool Summary LAUNCH TOOL Name: California Customer Load Reductions during the Electricity Crisis: Did They Help to Keep the Lights On? Focus Area: Energy Efficiency Topics: Socio-Economic Website: eetd.lbl.gov/ea/ems/reports/49733.pdf Equivalent URI: cleanenergysolutions.org/content/california-customer-load-reductions-d Language: English Policies: Regulations Regulations: Mandates/Targets This report details the predicted electricity shortages and blackouts in California (summer 2001) that never occured, in part due to energy conservation measures taken on by the people of California. Intense media coverage and information campaigns about energy efficiency as well as

29

Using Whole-Building Electric Load Data in Continuous or Retro-Commissioning  

E-Print Network [OSTI]

Whole?Building Electric Load Data in   Continuous or Retro?key features of electric load data and may be easier toWhole-Building Electric Load Data in Continuous or Retro-

Price, Phillip N.

2012-01-01T23:59:59.000Z

30

Energy Efficiency Indicators for High Electric-Load Buildings  

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

Energy Efficiency Indicators for High Electric-Load Buildings Energy Efficiency Indicators for High Electric-Load Buildings Speaker(s): Bernard Aebischer Date: February 6, 2003 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Kristina LaCommare Energy per unit of floor area is not an adequate indictor for energy efficiency in high electric-load buildings. For two activities, restaurants and computer centres, alternative indicators for energy efficiency are discussed. Prerequisites in order to be able to use these indicators in energy efficiency programmes are discussed. The opportunity of an internationally coordinated research activity is also presented. Since 1999, Dr. Bernard Aebischer has served as a senior scientist at CEPE (Centre for Energy Policy and Economics) of the Swiss Federal Institutes of

31

Size and load dependence of nanoscale electric contact resistance  

Science Journals Connector (OSTI)

Abstract Nanoscale electrical resistance between a platinum-coated atomic force microscope tip and highly oriented pyrolytic graphite surface is measured as a function of normal load and tip radius. These measurements are complemented by molecular dynamics simulations that relate load and radius to contact area. Simulation-predicted contact area and experimentally-measured resistance are used to calculate contact resistivity. The results show that the effect of load on resistance can be captured by the real contact area, while tip size, although in part captured by area, affects contact resistivity itself, potentially through interface distance. Our study provides new insight into the effect of load and geometry on nanoscale electric contact and, more significantly, highlights the role of atomic-scale contact features in determining contact resistance.

Zhijiang Ye; Hyeongjoo Moon; Min Hwan Lee; Ashlie Martini

2014-01-01T23:59:59.000Z

32

An assessment of electrical load forecasting using artificial neural network  

Science Journals Connector (OSTI)

The forecasting of electricity demand has become one of the major research fields in electrical engineering. The supply industry requires forecasts with lead times, which range from the short term (a few minutes, hours, or days ahead) to the long term (up to 20 years ahead). The major priority for an electrical power utility is to provide uninterrupted power supply to its customers. Long term peak load forecasting plays an important role in electrical power systems in terms of policy planning and budget allocation. This paper presents a peak load forecasting model using artificial neural networks (ANN). The approach in the paper is based on multi-layered back-propagation feed forward neural network. For annual forecasts, there should be 10 to 12 years of historical monthly data available for each electrical system or electrical buss. A case study is performed by using the proposed method of peak load data of a state electricity board of India which maintain high quality, reliable, historical data providing the best possible results. Model's quality is directly dependent upon data integrity.

V. Shrivastava; R.B. Misra; R.C. Bansal

2012-01-01T23:59:59.000Z

33

Markovian Models for Electrical Load Prediction in Smart Buildings  

E-Print Network [OSTI]

Markovian Models for Electrical Load Prediction in Smart Buildings Muhammad Kumail Haider, Asad,13100004,ihsan.qazi}@lums.edu.pk Abstract. Developing energy consumption models for smart buildings is important develop parsimo- nious Markovian models of smart buildings for different periods in a day for predicting

California at Santa Barbara, University of

34

Generation of synthetic benchmark electrical load profiles using publicly available load and weather data  

Science Journals Connector (OSTI)

Abstract Electrical load profiles of a particular region are usually required in order to study the performance of renewable energy technologies and the impact of different operational strategies on the power grid. Load profiles are generally constructed based on measurements and load research surveys which are capital and labour-intensive. In the absence of true load profiles, synthetically generated load profiles can be a viable alternative to be used as benchmarks for research or renewable energy investment planning. In this paper, the feasibility of using publicly available load and weather data to generate synthetic load profiles is investigated. An artificial neural network (ANN) based method is proposed to synthesize load profiles for a target region using its typical meteorological year 2 (TMY2) weather data as the input. To achieve this, the proposed ANN models are first trained using TMY2 weather data and load profile data of neighbouring regions as the input and targeted output. The limited number of data points in the load profile dataset and the consequent averaging of TMY2 weather data to match its period resulted in limited data availability for training. This challenge was tackled by incorporating generalization using Bayesian regularization into training. The other major challenge was facilitating ANN extrapolation and this was accomplished by the incorporation of domain knowledge into the input weather data for training. The performance of the proposed technique has been evaluated by simulation studies and tested on three real datasets. Results indicate that the generated synthetic load profiles closely resemble the real ones and therefore can be used as benchmarks.

Gobind G. Pillai; Ghanim A. Putrus; Nicola M. Pearsall

2014-01-01T23:59:59.000Z

35

Extension of multivariate regression trees to interval data. Application to electricity load profiling  

Science Journals Connector (OSTI)

Several data can be presented as interval curves where ... particular, this representation is well adapted for load profiles, which depict the electricity consumption of a class of customers. Electricity load pro...

Véronique Cariou

2006-01-01T23:59:59.000Z

36

Methods for Analyzing Electric Load Shape and its Variability  

E-Print Network [OSTI]

graphical displays of load data. We then define someAlthough simply overlaying load data from different timeprovide a good fit to load data in most buildings; their

Price, Philip

2010-01-01T23:59:59.000Z

37

Preliminary Evaluation of Load Management for Electricity End Users  

E-Print Network [OSTI]

The planning, design and implementation of load management is complex and expensive. The results of a load management program are subject to numerous uncertainties related to load characteristics, power cost savings, load management costs...

Collier, S. E.

1984-01-01T23:59:59.000Z

38

The Dynamic Character Curve Adjusting Model of Electric Load Based on Data Mining Theory  

Science Journals Connector (OSTI)

There are a number of dirty data in the load database produced by SCADA system. Consequently, the data must be adjusted carefully and reasonably before being used for electric load forecasting or power system ana...

Xiaoxing Zhang; Haijun Ren; Yuming Liu…

2005-01-01T23:59:59.000Z

39

Hydrogen loaded metal for bridge-foils for enhanced electric gun/slapper detonator operation  

DOE Patents [OSTI]

The invention provides a more efficient electric gun or slapper detonator ich provides a higher velocity flyer by using a bridge foil made of a hydrogen loaded metal.

Osher, John E. (Alamo, CA)

1992-01-01T23:59:59.000Z

40

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

E-Print Network [OSTI]

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

Pedram, Massoud

Note: This page contains sample records for the topic "miscellaneous electric loads" 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

Methods for Detailed Energy Data Collection of Miscellaneous and Electronic  

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

Methods for Detailed Energy Data Collection of Miscellaneous and Electronic Methods for Detailed Energy Data Collection of Miscellaneous and Electronic Loads in a Commercial Office Building Title Methods for Detailed Energy Data Collection of Miscellaneous and Electronic Loads in a Commercial Office Building Publication Type Report Refereed Designation Unknown LBNL Report Number LBNL-6384E Year of Publication 2013 Authors Lanzisera, Steven, Stephen Dawson-Haggerty, Iris H. Y. Cheung, Jay Taneja, David Culler, and Richard E. Brown Date Published 04/2013 Keywords Commercial Office Building, Data Collection, Electronic loads Abstract Miscellaneous and electronic loads (MELs) consume about 20% of the primary energy used in U.S. buildings, and this share is projected to increase for the foreseeable future. Our understanding, however, of which devices are most responsible for this energy use is still rudimentary due to the difficulty and expense of performing detailed studies on MELs and their energy use. In order to better understand the energy use of MELs and the design of MELs field metering studies, we conducted a year-long study of MELs in an 89,500 sq. ft. (8310 m2) office building.

42

Abstract--We present new approaches for building yearly and seasonal models for 5-minute ahead electricity load  

E-Print Network [OSTI]

electricity load forecasting. They are evaluated using two full years of Australian electricity load data. We first analyze the cyclic nature of the electricity load and show that the autocorrelation function to building a single yearly model. I. INTRODUCTION PREDICTING the future electricity demand, also called

Koprinska, Irena

43

Healthcare Energy: Spotlight on Lighting and Other Electric Loads  

Broader source: Energy.gov [DOE]

The Building Technologies Office conducted a healthcare energy end-use monitoring project for two sites. Read details about the lighting and plug load energy results.

44

Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the  

E-Print Network [OSTI]

Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time://ima.ac.uk/dent 2 The James Hutton Institute, Aberdeen, UK Abstract. UK electricity market changes provide opportunities to alter households' electricity usage patterns for the benefit of the overall elec- tricity

Aickelin, Uwe

45

RJMCMC POINT PROCESS SAMPLER FOR SINGLE SENSOR SOURCE SEPARATION: AN APPLICATION TO ELECTRIC LOAD MONITORING  

E-Print Network [OSTI]

case of space-heating, which is the most consuming electric end-use in France1 . This is a source of the electric systems will undoubtedly be helpful to meet these challenges. Actually, a good knowledgeRJMCMC POINT PROCESS SAMPLER FOR SINGLE SENSOR SOURCE SEPARATION: AN APPLICATION TO ELECTRIC LOAD

Boyer, Edmond

46

Abstract--We consider the management of electric vehicle (EV) loads within a market-based Electric Power System  

E-Print Network [OSTI]

battery charging while engaging in energy and reserve capacity transactions in the wholesale power market day-ahead and real-time power market framework similar to that used in the major USA power pools (PJMAbstract--We consider the management of electric vehicle (EV) loads within a market-based Electric

Caramanis, Michael

47

Hydrogen loaded metal for bridge-foils for enhanced electric gun/slapper detonator operation  

DOE Patents [OSTI]

The invention provides a more efficient electric gun or slapper detonator which provides a higher velocity flyer by using a bridge foil made of a hydrogen loaded metal. 8 figs.

Osher, J.E.

1992-01-14T23:59:59.000Z

48

A Clustering Model for Mining Consumption Patterns from Imprecise Electric Load Time Series Data  

Science Journals Connector (OSTI)

This paper presents a novel clustering model for mining patterns from imprecise electric load time series. The model consists of three components. First, it contains a process that deals with representation an...

Qiudan Li; Stephen Shaoyi Liao; Dandan Li

2006-01-01T23:59:59.000Z

49

Using Whole-Building Electric Load Data in Continuous or Retro-Commissioning  

SciTech Connect (OSTI)

Whole-building electric load data can often reveal problems with building equipment or operations. In this paper, we present methods for analyzing 15-minute-interval electric load data. These methods allow building operators, energy managers, and commissioning agents to better understand a building's electricity consumption over time and to compare it to other buildings, helping them to 'ask the right questions' to discover opportunities for electricity waste elimination, energy efficiency, peak load management, and demand response. For example: Does the building use too much energy at night, or on hot days, or in the early evening? Knowing the answer to questions like these can help with retro-commissioning or continuous commissioning. The methods discussed here can also be used to assess how building energy performance varies with time. Comparing electric load before and after fixing equipment or changing operations can help verify that the fixes have the intended effect on energy consumption. Analysis methods discussed in this paper include: ways to graphically represent electric load data; the definition of various parameters that characterize facility electricity loads; and a regression-based electricity load model that accounts for both time of week and outdoor air temperature. The methods are illustrated by applying them to data from commercial buildings. We demonstrate the ability to recognize changes in building operation, and to quantify changes in energy performance. Some key findings are: 1) Plotting time series electric load data is useful for understanding electricity consumption patterns and changes to those patterns, but results may be misleading if data from different time intervals are not weather-normalized. 2) Parameter plots can highlight key features of electric load data and may be easier to interpret than plots of time series data themselves. 3) A time-of-week indicator variable (as compared to time-of-day and day-of-week indicator variables) improves the accuracy of regression models of electric load. 4) A piecewise linear and continuous outdoor air temperature dependence can be derived without the use of a change-point model (which would add complexity to the modeling algorithm) or assumptions about when structural changes occur (which could introduce inaccuracy). 5) A model that includes time-of-week and temperature dependence can be used for weather normalization and can determine whether the building is unusually temperature-sensitive, which can indicate problems with HVAC operation.

Price, Phillip N.; Mathieu, Johanna L.; Kiliccote, Sila; Piette, Mary Ann

2011-07-01T23:59:59.000Z

50

Daily Air Temperature and Electricity Load in Spain  

Science Journals Connector (OSTI)

Weather has a significant impact on different sectors of the economy. One of the most sensitive is the electricity market, because power demand is linked to several weather variables, mainly the air temperature. This work analyzes the ...

Enric Valor; Vicente Meneu; Vicente Caselles

2001-08-01T23:59:59.000Z

51

A MODEL FOR HEDGING LOAD AND PRICE RISK IN THE TEXAS ELECTRICITY MARKET  

E-Print Network [OSTI]

results. In particular, we include as state variables the key factors which drive electricity prices, such as fuel price (natural gas in particular), load itself, and a proxy for capacity available. We express stochastic factors including the load process, our power price model allows for the calculation of closed

Powell, Warren B.

52

Exploring Smart Grid and Data Center Interactions for Electric Power Load Balancing  

E-Print Network [OSTI]

minimization and cost mini- mization, without detailed analysis of the impact on the power grid. For exampleExploring Smart Grid and Data Center Interactions for Electric Power Load Balancing Hao Wang differences. However, the impact of load redistribu- tions on the power grid is not well understood yet

Huang, Jianwei

53

Interval analysis applied to the maximum loading point of electric power systems considering load data uncertainties  

Science Journals Connector (OSTI)

Abstract This paper proposes a simple and efficient power flow method to calculate, in an interval manner, the main variables corresponding to the maximum loading point, under load data uncertainties. The resulting interval nonlinear system of equations is solved using Krawczyk method. The proposed methodology is implemented in the Matlab environment using the Intlab toolbox. Results are compared with those obtainable by Monte Carlo simulations. IEEE 30 bus system and a South-southeastern Brazilian network are used to validate the proposed methodology.

L.E.S. Pereira; V.M. da Costa

2014-01-01T23:59:59.000Z

54

Monitoring of Electrical End-Use Loads in Commercial Buildings  

E-Print Network [OSTI]

Southern California Edison is currently conducting a program to collect end-use metered data from commercial buildings in its service area. The data will provide actual measurements of end-use loads and will be used in research and in designing...

Martinez, M.; Alereza, T.; Mort, D.

1988-01-01T23:59:59.000Z

55

Methods for detailed energy data collection of miscellaneous and electronic  

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

Methods for detailed energy data collection of miscellaneous and electronic Methods for detailed energy data collection of miscellaneous and electronic loads in a commercial office building Title Methods for detailed energy data collection of miscellaneous and electronic loads in a commercial office building Publication Type Journal Article Year of Publication 2013 Authors Lanzisera, Steven, Stephen Dawson-Haggerty, Iris H. Y. Cheung, Jay Taneja, David Culler, and Richard E. Brown Journal Building and Environment Volume 65 Start Page 170 Pagination 170 - 177 Date Published 7/2013 ISSN 03601323 Keywords benchmarking, field study, MELs, office buildings, Plug-loads Abstract Miscellaneous and electronic loads (MELs) consume about 20% of the primary energy used in U.S. buildings, and this share is projected to increase for the foreseeable future. Our understanding, however, of which devices are most responsible for this energy use is still rudimentary due to the difficulty and expense of performing detailed studies on MELs and their energy use. In order to better understand the energy use of MELs and the design of MELs field metering studies, we conducted a year-long study of MELs in an 89,500 sq. ft. (8310 m2) office building. We present insights obtained from this study using 455 wireless plug-load power meters including the study design process, the tools needed for success, and key other methodology issues. Our study allowed us to quantify, for the study buildings, how many devices we needed to inventory and meter as well as for how long we needed to collect meter data. We find that the study design of earlier work would not have yielded accurate results in our study building. This paper presents these findings along with a brief summary of the energy related results.

56

Analysis of combined cooling, heating, and power systems under a compromised electric–thermal load strategy  

Science Journals Connector (OSTI)

Abstract Following the electric load (FE) and following the thermal load (FT) strategies both have advantages and disadvantages for combined cooling, heating and power (CCHP) systems. In this paper, the performance of different strategies is evaluated under operation cost (OC), carbon dioxide emission (CDE) and exergy efficiency (EE). Analysis of different loads in one hour is conducted under the assumption that the additional electricity is not allowed to be sold back to the grid. The results show that FE produces less OC, less CDE, and FT produces higher EE when the electric load is larger. However, FE produces less OC, less CDE and higher EE when the thermal load is larger. Based on a hybrid electric–thermal load (HET) strategy, compromised electric–thermal (CET) strategies are innovatively proposed using the efficacy coefficient method. Additional, the CCHP system of a hotel in Tianjin is analyzed for all of the strategies. The results for an entire year indicate the first CET strategy is the optimal one when dealing with OC, CDE and EE. And the second CET is the optimal one when dealing with OC and EE. Moreover, the laws are strictly correct for different buildings in qualitative terms.

Gang Han; Shijun You; Tianzhen Ye; Peng Sun; Huan Zhang

2014-01-01T23:59:59.000Z

57

A resonant load circuit to develop electrical power transfer of thermionic converters  

SciTech Connect (OSTI)

Low internal impedance of thermionic converters requires a low impedance load in the DC mode to obtain optimal power transfer. An internal resistance near 0.1 W for thermionic converters is common. According to the maximum power theorem [Desoer,1969], a similar magnitude for the resistance load must be fixed. Due to temperature changes, the internal plasma resistance and the resistance of the leads is modified [Houston,1959], for this reason, it is difficult to maintain maximum power transfer to the load. This paper presents a resonant load circuit for thermionic converters in the AC mode, to develop impedance coupling. The circuit employs an electrical transformer and positive feedback; by this way, oscillations are themselves maintained. It is used an electrical circuit model [Perez et al, 1997], to simulate the electrical behavior of the thermionic converter.

Perez, G.; Estrada, C.A.; Jimenez, A.E.

1998-07-01T23:59:59.000Z

58

Commercial and Industrial Conservation and Load Management Programs at New England Electric  

E-Print Network [OSTI]

England Electric has initiated, through its three retail subsidiaries, an ambitious load management and conservation program designed to reduce its projected 1991 summer peak by 230 megawatts and save 335,000 megawatthours per year. The effort... headquartered in Westborough, Massachusetts. Subsidiaries include three retail operating companies -- Massachusetts Electric Company, which serves 850,000 customers in 146 communities; The Narragansett Electric Company, which serves 294,000 customers in 27...

Gibson, P. H.

59

Miscellaneous  

Science Journals Connector (OSTI)

The previous chapters focused on demonstrating language features which allow robust and reusable models to be written. In this chapter, we will cover a few “loose ends” which should be discussed for completeness ...

Michael Tiller Ph.D.

2001-01-01T23:59:59.000Z

60

Miscellaneous  

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

THE PEAK OIL DEBATE THE PEAK OIL DEBATE As The EIA Turns 30 EIA 2008 Energy Conference Washington, DC April 7, 2008 By: Matthew R. Simmons, Chairman Simmons & Company International EIA 2008 Energy Conference Washington, DC April 7, 2008 By: Matthew R. Simmons, Chairman Simmons & Company International SIMMONS & COMPANY INTERNATIONAL Should We Debate "Peak Oil" Should We Debate "Peak Oil" n Oil seems non-renewable. n High percentage comes from "mature fields." n High percentage of new fields are offshore with sharp peaks. n Oil supply will peak, someday. n Timing is only debate. n Fog of non-transparency creates the debate. n With precise supply data, the debate would end. SIMMONS & COMPANY INTERNATIONAL Can The EIA Give The World A

Note: This page contains sample records for the topic "miscellaneous electric loads" 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

Non-Intrusive Electric Load Monitoring in Commercial Buildings  

E-Print Network [OSTI]

for HVAC equipment in commercial buildings has focused allention on instrumentation required to obtain the desired data. In this paper we investigate what can be learned from measurements of electrical power at a single point, that of the elecl...; and detecting suboptimal staging of multiple chillers, Detection of equipment start and stop transitions was strengthened by application of a nonlinear filter that determines the point of median power from a fi Itering window of user selected width. A...

Norford, L. K.; Mabey, N.

62

Miscellaneous States Coalbed Methane Proved Reserves Revision...  

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

Revision Decreases (Billion Cubic Feet) Miscellaneous States Coalbed Methane Proved Reserves Revision Decreases (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

63

Simulation of the instantaneous free piston Stirling engine-electrical load interaction  

SciTech Connect (OSTI)

In this paper the authors consider a gamma type free piston engine (that is, a configuration with a power piston cylinder and a separate displacer cylinder) with the MARTINI configuration (that is, with a free piston but a kinematically driven displacer). In the modeled engine, the displacer is driven by an electrical motor and there are two symmetrical, free, power pistons. This configuration ensures a complete balancing of the engine. The free pistons bear the moving parts of the linear electric alternators. This engine may be considered for solar to electrical energy conversion for land or space applications, for instance. A dynamic simulation of this engine has been developed using a decoupled analysis. The motion equation of the free piston induces a strong coupling between the electrical load and the thermodynamics inside the free piston Stirling engine. From the thermodynamics point of view, the piston-displacer phase lag is an important parameter. It is shown that if the electrical circuit elements (R-L-C) are constants, the phase lag between the free pistons and displacer motions is far from the optimum. However this phase lag can be controlled by means of a variable electrical resistance. For both cases of stand-alone engine with an independent electrical load, or grid-connected engine, it is shown how one can in a very simple way multiply the net electrical power by a factor 4 to 10 and the efficiency by a factor 1.25 to 2 without any engine geometry modification.

Mehdizadeh, N.S.; Stouffs, P.

1998-07-01T23:59:59.000Z

64

Demand Response-Enabled Model Predictive HVAC Load Control in Buildings using Real-Time Electricity Pricing.  

E-Print Network [OSTI]

??A practical cost and energy efficient model predictive control (MPC) strategy is proposed for HVAC load control under dynamic real-time electricity pricing. The MPC strategy… (more)

Avci, Mesut

2013-01-01T23:59:59.000Z

65

A functional analysis of electrical load curve modelling for some households specific electricity end-uses  

E-Print Network [OSTI]

domestic end-uses, the development of plug-in hybrid and electric vehicles, the increase of heat pumps heating systems such as heat pumps in new building or which will replace old installed fossil fuels based systems; · integration of new end-uses such as Plug-in Electric Vehicles and an always growing number

Paris-Sud XI, Université de

66

Industrial-Load-Shaping: The Practice of and Prospects for Utility/Industry Cooperation to Manage Peak Electricity Demand  

E-Print Network [OSTI]

INDUSTRIAL-LOAD-SHAPI1IG: TIlE PRACTICE OF AND PROSPECTS FOR UTILITY/INDUSTRY COOPERATION TO MAUGE PEAK ELECTRICITY DEMAND Donald J. BuIes and David E. Rubin Consultants, Pacific Gas and Electric Company San Francisco, California Michael F.... Maniates Energy and Resources Group, University of California Berkeley, California ABSTRACT Load-management programs designed to reduce demand for electricity during peak periods are becoming increasingly important to electric utilities. For a gf...

Bules, D. J.; Rubin, D. E.; Maniates, M. F.

67

Impact of Industrial Electric Rate Structure on Load Management - A Utility Viewpoint  

E-Print Network [OSTI]

A few years ago our response to an inquiry regarding availability of electric service for a large industrial load was something like: 'Let us put this into our production model to determine whether we will have adequate generating capacity to commit...

Richardson, J. A.

1984-01-01T23:59:59.000Z

68

Characterizing probability density distributions for household electricity load profiles from high-resolution electricity use data  

Science Journals Connector (OSTI)

Abstract This paper presents a high-resolution bottom-up model of electricity use in an average household based on fit to probability distributions of a comprehensive high-resolution household electricity use data set for detached houses in Sweden. The distributions used in this paper are the Weibull distribution and the Log-Normal distribution. These fitted distributions are analyzed in terms of relative variation estimates of electricity use and standard deviation. It is concluded that the distributions have a reasonable overall goodness of fit both in terms of electricity use and standard deviation. A Kolmogorov–Smirnov test of goodness of fit is also provided. In addition to this, the model is extended to multiple households via convolution of individual electricity use profiles. With the use of the central limit theorem this is analytically extended to the general case of a large number of households. Finally a brief comparison with other models of probability distributions is made along with a discussion regarding the model and its applicability.

Joakim Munkhammar; Jesper Rydén; Joakim Widén

2014-01-01T23:59:59.000Z

69

Miscellaneous States Shale Gas Proved Reserves Acquisitions ...  

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

Acquisitions (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves Acquisitions (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

70

Miscellaneous States Coalbed Methane Proved Reserves (Billion...  

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

Coalbed Methane Proved Reserves (Billion Cubic Feet) Miscellaneous States Coalbed Methane Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

71

Miscellaneous States Coalbed Methane Proved Reserves Adjustments...  

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

Adjustments (Billion Cubic Feet) Miscellaneous States Coalbed Methane Proved Reserves Adjustments (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

72

Miscellaneous Forms | Y-12 National Security Complex  

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

Miscellaneous Forms Miscellaneous Forms Miscellaneous Forms The following miscellaneous forms are provided in PDF fillable and/or Word format. Click the link in the "Format" column to open a copy of the form or right-click to download. Number* Title/Description Format** SF-85 Questionnaire for Non-Sensitive Positions PDF-fil UCN-13A Relocation Expense Report PDF-fil, PDF print UCN-15436 Gifts and Grants Request PDF-fil, Word UCN-16708 Request for Authorization to Ship SNM or Non-SNM Material (U) Word UCN-16790A Approval of Product Returned for Accountable Material and Non-Accountable Weapons Material (U) PDF print UCN-20650 Statement of Interest in Maintaining Section 3161 Employment Eligibility PDF-fil UCN-20904 Supplier Qualification Questionnaire Word

73

Stochastic model for electrical loads in Mediterranean residential buildings: Validation and applications  

Science Journals Connector (OSTI)

Abstract A major issue in modelling the electrical load of residential building is reproducing the variability between dwellings due to the stochastic use of different electrical equipment. In that sense and with the objective to reproduce this variability, a stochastic model to obtain load profiles of household electricity is developed. The model is based on a probabilistic approach and is developed using data from the Mediterranean region of Spain. A detailed validation of the model has been done, analysing and comparing the results with Spanish and European data. The results of the validation show that the model is able to reproduce the most important features of the residential electrical consumption, especially the particularities of the Mediterranean countries. The final part of the paper is focused on the potential applications of the models, and some examples are proposed. The model is useful to simulate a cluster of buildings or individual households. The model allows obtaining synthetic profiles representing the most important characteristics of the mean dwelling, by means of a stochastic approach. The inputs of the proposed model are adapted to energy labelling information of the electric devices. An example case is presented considering a dwelling with high performance equipment.

Joana Ortiz; Francesco Guarino; Jaume Salom; Cristina Corchero; Maurizio Cellura

2014-01-01T23:59:59.000Z

74

DOE Publishes Supplemental Proposed Determination for Miscellaneous Residential Refrigeration Products  

Broader source: Energy.gov [DOE]

The Department of Energy has published a supplemental proposed determination regarding miscellaneous residential refrigeration products.

75

A Bio-Inspired Multi-Agent System Framework for Real-Time Load Management in All-Electric Ship Power Systems  

E-Print Network [OSTI]

All-electric ship power systems have limited generation capacity and finite rotating inertia compared with large power systems. Moreover, all-electric ship power systems include large portions of nonlinear loads and dynamic loads relative...

Feng, Xianyong

2012-07-16T23:59:59.000Z

76

HEURISTIC APPROACH FOR OPTIMAL PARAMETER ESTIMATION OF ELECTRIC LOAD FORECAST MODEL  

Science Journals Connector (OSTI)

Load forecasting is a crucial aspect of electric power system planning and operation. This paper presents a heuristic approach for optimal parameter estimation of long term load forecast models. The problem is viewed as an optimization one in which the goal is to minimize the total estimation error by properly adjusting the model coefficients. A particle swarm optimization algorithm is developed to minimize the error associated with the estimated model parameters. Real data of Egyptian network is used to perform this study. Results are reported and compared to those obtained using the well known least error squares estimation technique. Comparison results are in favor of the proposed approach which signifies its potential as a promising estimation tool.

M. R. AlRashidi; K. M. EL?Naggar

2009-01-01T23:59:59.000Z

77

1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.  

SciTech Connect (OSTI)

This publication documents the load forecast scenarios and assumptions used to prepare BPA`s Whitebook. It is divided into: intoduction, summary of 1993 Whitebook electricity demand forecast, conservation in the load forecast, projection of medium case electricity sales and underlying drivers, residential sector forecast, commercial sector forecast, industrial sector forecast, non-DSI industrial forecast, direct service industry forecast, and irrigation forecast. Four appendices are included: long-term forecasts, LTOUT forecast, rates and fuel price forecasts, and forecast ranges-calculations.

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

78

A model for hedging load and price risk in the Texas electricity market Michael Coulon , Warren B. Powell, Ronnie Sircar  

E-Print Network [OSTI]

drive electricity prices, such as fuel price (natural gas in particular), load itself, and a proxy by three stochastic factors including the load process, our power price model allows for the calculation for capacity available. We express power spot price as a parametric function of underlying factors, including

Powell, Warren B.

79

Base-Load and Peak Electricity from a Combined Nuclear Heat and Fossil Combined-Cycle Plant  

SciTech Connect (OSTI)

A combined-cycle power plant is proposed that uses heat from a high-temperature reactor and fossil fuel to meet base-load and peak electrical demands. The high-temperature gas turbine produces shaft power to turn an electric generator. The hot exhaust is then fed to a heat recovery steam generator (HRSG) that provides steam to a steam turbine for added electrical power production. A simplified computational model of the thermal power conversion system was developed in order to parametrically investigate two different steady-state operation conditions: base load nuclear heat only from an Advanced High Temperature Reactor (AHTR), and combined nuclear heat with fossil heat to increase the turbine inlet temperature. These two cases bracket the expected range of power levels, where any intermediate power level can result during electrical load following. The computed results indicate that combined nuclear-fossil systems have the potential to offer both low-cost base-load electricity and lower-cost peak power relative to the existing combination of base-load nuclear plants and separate fossil-fired peak-electricity production units. In addition, electric grid stability, reduced greenhouse gases, and operational flexibility can also result with using the conventional technology presented here for the thermal power conversion system coupled with the AHTR.

Conklin, Jim [ORNL; Forsberg, Charles W [ORNL

2007-01-01T23:59:59.000Z

80

Base-Load and Peak Electricity from a Combined Nuclear Heat and Fossil Combined-Cycle Plant  

SciTech Connect (OSTI)

A combined-cycle power plant is proposed that uses heat from a high-temperature reactor and fossil fuel to meet base-load and peak electrical demands. The high temperature gas turbine produces shaft power to turn an electric generator. The hot exhaust is then fed to a heat recovery steam generator (HRSG) that provides steam to a steam turbine for added electrical power production. A simplified computational model of the thermal power conversion system was developed in order to parametrically investigate two different steady-state operation conditions: base load nuclear heat only from an Advanced High Temperature Reactor (AHTR), and combined nuclear heat with fossil heat to increase the turbine inlet temperature. These two cases bracket the expected range of power levels, where any intermediate power level can result during electrical load following. The computed results indicate that combined nuclear-fossil systems have the potential to offer both low-cost base-load electricity and lower-cost peak power relative to the existing combination of base-load nuclear plants and separate fossil-fired peak-electricity production units. In addition, electric grid stability, reduced greenhouse gases, and operational flexibility can also result with using the conventional technology presented here for the thermal power conversion system coupled with the AHTR. (authors)

Conklin, James C.; Forsberg, Charles W. [Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, TN 37831 (United States)

2007-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "miscellaneous electric loads" 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

Sub-wavelength waveguide loaded by a complementary electric metamaterial for vacuum electron devices  

SciTech Connect (OSTI)

We report the electromagnetic properties of a waveguide loaded by complementary electric split ring resonators (CeSRRs) and the application of the waveguide in vacuum electronics. The S-parameters of the CeSRRs in free space are calculated using the HFSS code and are used to retrieve the effective permittivity and permeability in an effective medium theory. The dispersion relation of a waveguide loaded with the CeSRRs is calculated by two approaches: by direct calculation with HFSS and by calculation with the effective medium theory; the results are in good agreement. An improved agreement is obtained using a fitting procedure for the permittivity tensor in the effective medium theory. The gain of a backward wave mode of the CeSRR-loaded waveguide interacting with an electron beam is calculated by two methods: by using the HFSS model and traveling wave tube theory; and by using a dispersion relation derived in the effective medium model. Results of the two methods are in very good agreement. The proposed all-metal structure may be useful in miniaturized vacuum electron devices.

Duan, Zhaoyun, E-mail: zhyduan@uestc.edu.cn [Plasma Science and Fusion Center, Massachusetts Institute of Technology, 167 Albany St., Cambridge, Massachusetts 02139 (United States); Institute of High Energy Electronics, School of Physical Electronics, University of Electronic Science and Technology of China, No.4, Section 2, North Jianshe Road, Chengdu 610054 (China); Hummelt, Jason S.; Shapiro, Michael A., E-mail: shapiro@psfc.mit.edu; Temkin, Richard J. [Plasma Science and Fusion Center, Massachusetts Institute of Technology, 167 Albany St., Cambridge, Massachusetts 02139 (United States)

2014-10-15T23:59:59.000Z

82

Authorization basis status report (miscellaneous TWRS facilities, tanks and components)  

SciTech Connect (OSTI)

This report presents the results of a systematic evaluation conducted to identify miscellaneous TWRS facilities, tanks and components with potential needed authorization basis upgrades. It provides the Authorization Basis upgrade plan for those miscellaneous TWRS facilities, tanks and components identified.

Stickney, R.G.

1998-04-29T23:59:59.000Z

83

Puget Sound Area Electric Reliability Plan. Appendix D, Conservation, Load Management and Fuel Switching Analysis : Draft Environmental Impact Statement.  

SciTech Connect (OSTI)

Various conservation, load management, and fuel switching programs were considered as ways to reduce or shift system peak load. These programs operate at the end-use level, such as residential water heat. Figure D-1a shows what electricity consumption for water heat looks like on normal and extreme peak days. Load management programs, such as water heat control, are designed to reduce electricity consumption at the time of system peak. On the coldest day in average winter, system load peaks near 8:00 a.m. In a winter with extremely cold weather, electricity consumption increases fr all hours, and the system peak shifts to later in the morning. System load shapes in the Puget Sound area are shown in Figure D-1b for a normal winter peak day (February 2, 1988) and extreme peak day (February 3, 1989). Peak savings from any program are calculated to be the reduction in loads on the entire system at the hour of system peak. Peak savings for all programs are measured at 8:00 a.m. on a normal peak day and 9:00 a.m. on an extreme peak day. On extremely cold day, some water heat load shifts to much later in the morning, with less load available for shedding at the time of system peak. Models of hourly end-use consumption were constructed to simulate the impact of conservation, land management, and fuel switching programs on electricity consumption. Javelin, a time-series simulating package for personal computers, was chosen for the hourly analysis. Both a base case and a program case were simulated. 15 figs., 7 tabs.

United States. Bonneville Power Administration.

1991-09-01T23:59:59.000Z

84

Demand-side management in smart grid operation considering electric vehicles load shifting and vehicle-to-grid support  

Science Journals Connector (OSTI)

Abstract Demand fluctuation in electric power systems is undesirable from many points of view; this has sparked an interest in demand-side strategies that try to establish mechanisms that allow for a flatter demand curve. Particularly interesting is load shifting, a strategy that considers the shifting of certain amounts of energy demand from some time periods to other time periods with lower expected demand, typically in response to price signals. In this paper, an optimization-based model is proposed to perform load shifting in the context of smart grids. In our model, we define agents that are responsible for load, generation and storage management; in particular, some of them are electric vehicle aggregators. An important feature of the proposed approach is the inclusion of electric vehicles with vehicle-to-grid capabilities; with this possibility, electric vehicles can provide certain services to the power grid, including load shifting and congestion management. Results are reported for a test system based on the IEEE 37-bus distribution grid; the effectiveness of the approach and the effect of the hourly energy prices on flattening the load curve are shown.

M.A. López; S. de la Torre; S. Martín; J.A. Aguado

2015-01-01T23:59:59.000Z

85

Hydrogen-or-Fossil-Combustion Nuclear Combined-Cycle Systems for Base- and Peak-Load Electricity Production  

SciTech Connect (OSTI)

A combined-cycle power plant is described that uses (1) heat from a high-temperature nuclear reactor to meet base-load electrical demands and (2) heat from the same high-temperature reactor and burning natural gas, jet fuel, or hydrogen to meet peak-load electrical demands. For base-load electricity production, fresh air is compressed; then flows through a heat exchanger, where it is heated to between 700 and 900 C by heat provided by a high-temperature nuclear reactor via an intermediate heat-transport loop; and finally exits through a high-temperature gas turbine to produce electricity. The hot exhaust from the Brayton-cycle gas turbine is then fed to a heat recovery steam generator that provides steam to a steam turbine for added electrical power production. To meet peak electricity demand, the air is first compressed and then heated with the heat from a high-temperature reactor. Natural gas, jet fuel, or hydrogen is then injected into the hot air in a combustion chamber, combusts, and heats the air to 1300 C-the operating conditions for a standard natural-gas-fired combined-cycle plant. The hot gas then flows through a gas turbine and a heat recovery steam generator before being sent to the exhaust stack. The higher temperatures increase the plant efficiency and power output. If hydrogen is used, it can be produced at night using energy from the nuclear reactor and stored until needed. With hydrogen serving as the auxiliary fuel for peak power production, the electricity output to the electric grid can vary from zero (i.e., when hydrogen is being produced) to the maximum peak power while the nuclear reactor operates at constant load. Because nuclear heat raises air temperatures above the auto-ignition temperatures of the various fuels and powers the air compressor, the power output can be varied rapidly (compared with the capabilities of fossil-fired turbines) to meet spinning reserve requirements and stabilize the electric grid. This combined cycle uses the unique characteristics of high-temperature reactors (T>700 C) to produce electricity for premium electric markets whose demands can not be met by other types of nuclear reactors. It may also make the use of nuclear reactors economically feasible in smaller electrical grids, such as those found in many developing countries. The ability to rapidly vary power output can be used to stabilize electric grid performance-a particularly important need in small electrical grids.

Forsberg, Charles W [ORNL; Conklin, Jim [ORNL

2007-09-01T23:59:59.000Z

86

On the economic potential for electric load management in the German residential heating sector – An optimising energy system model approach  

Science Journals Connector (OSTI)

Abstract Against the background of the ambitious German targets for renewable energy and energy efficiency, this paper investigates the economic potential for thermal load management with virtual power plants consisting of micro-cogeneration plants, heat pumps and thermal storage within the residential sector. An optimising energy system model of the electricity and residential heat supply in Germany is developed in the TIMES (The Integrated MARKAL EFOM System) modelling framework and used to determine capacity developments and dispatch of electricity and residential heat generation technologies until 2050. The analysed scenarios differ with respect to the rate of technological development of heat and power devices, fuel and CO2 prices as well as renewable electricity expansion. Results show that high fuel prices and a high renewable electricity expansion favour heat pumps and insulation measures over micro-cogeneration, whereas lower fuel prices and lower renewable electricity expansion relatively favour the expansion of micro-cogeneration. In the former case heat pump capacities increase to around 67 GWel, whereas in the latter case the total capacity of micro-cogeneration reaches 8 GWel. With the aid of thermal storage, this provides considerable flexibility for electrical load shifting through heat pumps and electricity generation from micro-cogeneration in residential applications, needed for the integration of fluctuating renewable electricity technologies.

Daniel Fehrenbach; Erik Merkel; Russell McKenna; Ute Karl; Wolf Fichtner

2014-01-01T23:59:59.000Z

87

Demand-response (DR) programs, in which facilities reduce their electric loads in response to a utility signal, represent a  

E-Print Network [OSTI]

The Issue Demand-response (DR) programs, in which facilities reduce their electric loads (Figure 1). The testing covered four Lighting the Way to Demand ResponseLighting the Way to Demand Response California Energy Commission's Public Interest Energy Research Program Technical Brief PIER

88

Integrating Demand into the U.S. Electric Power System: Technical, Economic, and Regulatory Frameworks for Responsive Load  

E-Print Network [OSTI]

for Responsive/Adaptive Load by Jason W. Black Massachusetts Institute of Technology Submitted to the Engineering integration of demand response. Integrating demand into the US electricity system will allow the development, and market issues to determine a system structure that provides incentives for demand response. An integrated

de Weck, Olivier L.

89

Using direct normal irradiance models and utility electrical loading to assess benefit of a concentrating solar power plant  

Science Journals Connector (OSTI)

The objective of this paper was to determine if three different direct normal irradiance (DNI) models were sufficiently accurate to determine if concentrating solar power (CSP) plants could meet the utility electrical load. DNI data were measured at three different laboratories in the United States and compared with DNI calculated by three DNI models. In addition, utility electrical loading data were obtained for all three locations. The DNI models evaluated were: the Direct Insolation Simulation Code (DISC), DIRINT, and DIRINDEX. On an annual solar insolation (e.g. kW h/m2) basis, the accuracy of the DNI models at all three locations was within: 7% (DISC), 5% (DIRINT), and 3% (DIRINDEX). During the three highest electrical loading months at the three locations, the monthly accuracy varied from: 0% to 16% (DISC), 0% to 9% (DIRINT), and 0% to 8% (DIRINDEX). At one location different pyranometers were used to measure GHI, and the most expensive pyranometers did not improve the DNI model monthly accuracy. In lieu of actually measuring DNI, using the DIRINT model was felt to be sufficient for assessing whether to build a CSP plant at one location, but use of either the DIRINT or DIRINDEX models was felt to be marginal for the other two locations due to errors in modeling DNI for utility peak electrical loading days – especially for partly cloudy days.

Brian D. Vick; Daryl R. Myers; William E. Boyson

2012-01-01T23:59:59.000Z

90

Customer Load Strategies for Demand Response in Bilateral Contracting of Electricity  

Science Journals Connector (OSTI)

Electricity markets are systems for affecting the purchase and sale of electricity using supply and demand to set energy prices. Electricity can be traded in organized markets or by negotiating forward bilateral ...

Fernando Lopes; Hugo Algarvio

2014-01-01T23:59:59.000Z

91

Using Whole-Building Electric Load Data in Continuous or Retro-Commissioning  

E-Print Network [OSTI]

for electricity waste elimination and energy efficiency. Thefor energy waste reductions and energy efficiency projects,for electricity waste elimination, energy efficiency, peak

Price, Phillip N.

2012-01-01T23:59:59.000Z

92

C3Bio.org - Knowledge Base: Miscellaneous  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Knowledge Base Miscellaneous Knowledge Base Main page Categories All Articles Login &...

93

Miscellaneous States Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Miscellaneous States Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

94

Impacts of high penetration level of fully electric vehicles charging loads on the thermal ageing of power transformers  

Science Journals Connector (OSTI)

Abstract This paper develops a methodology to determine the impacts of high penetration level of fully electric vehicles (FEVs) charging loads on the thermal ageing of power distribution transformers. The method proposed in this paper is stochastically formulated by modelling the transformer life consumption due to \\{FEVs\\} charging loads as a function of ambient temperature, start time of \\{FEVs\\} charging, initial state-of-charge and charging modes. \\{FEVs\\} loads are modelled using the results from an analytical solution that predicts a cluster of \\{FEVs\\} chargers. A UK generic LV distribution network model and real load demand data are used to simulate FEVs’ impacts on the thermal ageing of LV power distribution transformers. Results show that the ambient temperature, \\{FEVs\\} penetration level, and start time of charging are the main factors that affect the transformer life expectancy. It was concluded that the smart charging scenario generally shows the best outcome from the loss of life reduction perspective. Meanwhile, public charging which shifts a large percentage of charging load to commercial and industrial areas can significantly alleviate the residential transformer loading thus has little impact on the loss of life of transformers. The proposed method in this paper can be easily applied to the determination of the optimum charging time as a function of existing loads, and ambient temperature.

Kejun Qian; Chengke Zhou; Yue Yuan

2015-01-01T23:59:59.000Z

95

Load Management for Industry  

E-Print Network [OSTI]

In the electric utility industry, load management provides the opportunity to control customer loads to beneficially alter a utility's load curve Load management alternatives are covered. Load management methods can be broadly classified into four...

Konsevick, W. J., Jr.

1982-01-01T23:59:59.000Z

96

Power system operation risk analysis considering charging load self-management of plug-in hybrid electric vehicles  

Science Journals Connector (OSTI)

Abstract Many jurisdictions around the world are supporting the adoption of electric vehicles through incentives and the deployment of a charging infrastructure to reduce greenhouse gas emissions. Plug-in hybrid electric vehicles (PHEVs), with offer mature technology and stable performance, are expected to gain an increasingly larger share of the consumer market. The aggregated effect on power grid due to large-scale penetration of \\{PHEVs\\} needs to be analyzed. Nighttime-charging which typically characterizes \\{PHEVs\\} is helpful in filling the nocturnal load valley, but random charging of large PHEV fleets at night may result in new load peaks and valleys. Active response strategy is a potentially effective solution to mitigate the additional risks brought by the integration of PHEVs. This paper proposes a power system operation risk analysis framework in which charging load self-management is used to control system operation risk. We describe an interactive mechanism between the system and \\{PHEVs\\} in conjunction with a smart charging model is to simulate the time series power consumption of PHEVs. The charging load is managed with adjusting the state transition boundaries and without violating the users’ desired charging constraints. The load curtailment caused by voltage or power flow violation after outages is determined by controlling charging power. At the same time, the system risk is maintained under an acceptable level through charging load self-management. The proposed method is implemented using the Roy Billinton Test System (RBTS) and several PHEV penetration levels are examined. The results show that charging load self-management can effectively balance the extra risk introduced by integration of \\{PHEVs\\} during the charging horizon.

Zhe Liu; Dan Wang; Hongjie Jia; Ned Djilali

2014-01-01T23:59:59.000Z

97

Short-term load forecasting using generalized regression and probabilistic neural networks in the electricity market  

SciTech Connect (OSTI)

For the economic and secure operation of power systems, a precise short-term load forecasting technique is essential. Modern load forecasting techniques - especially artificial neural network methods - are particularly attractive, as they have the ability to handle the non-linear relationships between load, weather temperature, and the factors affecting them directly. A test of two different ANN models on data from Australia's Victoria market is promising. (author)

Tripathi, M.M.; Upadhyay, K.G.; Singh, S.N.

2008-11-15T23:59:59.000Z

98

Theoretical study of the electrical power behavior of a cesium thermionic converter for switching resistive and reactive loads  

SciTech Connect (OSTI)

Pulsed ionized diodes have shown to be an attractive mode to develop thermionic converters. Usually the investigations have been focused to work with additive gases and constant loads at steady state. The experimental transient graphs reported suggest a dynamic behavior of the thermionic converter. Periods of the order of 300 {micro}s have been reported for the decay time of voltage and current, a condition that is similar to a capacitive discharge. A circuit model for a thermionic converter to define this condition is proposed. Using this model, an electrical analysis of the thermionic converter power with different switching loads is made. Both, resistive and reactive loads are connected. Special emphasis is dedicated to determine the resonance frequencies.

Perez, J.G. [ICUAP-BUAP, Puebla (Mexico). Semiconductor Devices Research Center; Estrada, C.A.; Jimenez, A.E.; Cervantes, J.G. [UNAM, Temixco (Mexico). Energy Research Center

1997-12-31T23:59:59.000Z

99

NREL EFM DATA: Disaggregated Residential Load Cost Data | OpenEI  

Open Energy Info (EERE)

EFM DATA: Disaggregated Residential Load Cost Data EFM DATA: Disaggregated Residential Load Cost Data Dataset Summary Description The following data-set is for a benchmark residential home for all TMY3 locations across all utilities in the US. The data is indexed by utility service provider which is described by its "unique" EIA ID ( http://205.254.135.24/cneaf/electricity/page/eia861.html), e.g. field A14 references "34", which is the EIA Utility ID for the City of Abbeville, South Carolina Utility Company. Within each data set per utility resides different types of equipment, miscellaneous electric load plugs, and appliances found in "common households" given by costs broken out by months. All data within each cell is a floating point number with the metric of dollars/month, e.g. 0.46 equals $0.46/month of interest. Please note: That costs given are only for electricity costs not gas!

100

Vehicle Technologies Office Merit Review 2014: Electric Drive Vehicle Climate Control Load Reduction  

Broader source: Energy.gov [DOE]

Presentation given by National Renewable Energy Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about electric...

Note: This page contains sample records for the topic "miscellaneous electric loads" 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

Multiple Fault Diagnosis in Electrical Power Systems with Dynamic Load Changes Using Soft Computing  

Science Journals Connector (OSTI)

Power systems monitoring is particularly challenging due to the presence of dynamic load changes in normal operation mode of network ... , noisy information and lack or excess of data. In this domain, the need to...

Juan Pablo Nieto González

2013-01-01T23:59:59.000Z

102

Interpreting human activity from electrical consumption data through non-intrusive load monitoring  

E-Print Network [OSTI]

Non-intrusive load monitoring (NILM) has three distinct advantages over today's smart meters. First, it offers accountability. Few people know where their kWh's are going. Second, it is a maintenance tool. Signs of wear ...

Gillman, Mark Daniel

2014-01-01T23:59:59.000Z

103

Miscellaneous electricity use in U.S. homes  

E-Print Network [OSTI]

AC03-76F0098 References AHAM. Association of Home Appliancea variety of sources (AHAM: California Energy Commission,

Sanchez, Marla C.; Koomey, Jonathan G.; Moezzi, Mithra M.; Meier, Alan; Huber, Wolfgang

1999-01-01T23:59:59.000Z

104

Research on propeller dynamic load simulation system of electric propulsion ship  

Science Journals Connector (OSTI)

A dynamic marine propeller simulation system was developed, which is ... requirement of theory research and engineering design of marine electric propulsion system. By applying an actual ship parameter...J? ? K ...

Hui Huang ? ?; Ai-di Shen ???; Jian-xin Chu ???

2013-04-01T23:59:59.000Z

105

Property:Building/FloorAreaMiscellaneous | Open Energy Information  

Open Energy Info (EERE)

FloorAreaMiscellaneous FloorAreaMiscellaneous Jump to: navigation, search This is a property of type Number. Floor area for Miscellaneous Pages using the property "Building/FloorAreaMiscellaneous" Showing 25 pages using this property. S Sweden Building 05K0002 + 360 + Sweden Building 05K0005 + 110 + Sweden Building 05K0013 + 3,550 + Sweden Building 05K0016 + 445 + Sweden Building 05K0021 + 250 + Sweden Building 05K0025 + 254 + Sweden Building 05K0035 + 1,629 + Sweden Building 05K0037 + 175 + Sweden Building 05K0040 + 869 + Sweden Building 05K0044 + 1,234 + Sweden Building 05K0047 + 1,039 + Sweden Building 05K0051 + 1,489.92 + Sweden Building 05K0052 + 200 + Sweden Building 05K0062 + 140 + Sweden Building 05K0063 + 654 + Sweden Building 05K0068 + 746 + Sweden Building 05K0071 + 293 +

106

Miscellaneous States Shale Gas Production (Billion Cubic Feet...  

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

Production (Billion Cubic Feet) Miscellaneous States Shale Gas Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 2...

107

Miscellaneous States Shale Gas Proved Reserves Revision Decreases...  

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

Decreases (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves Revision Decreases (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

108

Miscellaneous States Shale Gas Proved Reserves Sales (Billion...  

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

Sales (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves Sales (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

109

Miscellaneous States Shale Gas Proved Reserves Adjustments (Billion...  

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

Adjustments (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves Adjustments (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

110

Miscellaneous States Shale Gas Proved Reserves Revision Increases...  

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

Increases (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves Revision Increases (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

111

Miscellaneous States Shale Gas Proved Reserves New Field Discoveries...  

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

New Field Discoveries (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

112

Miscellaneous States Shale Gas Proved Reserves Extensions (Billion...  

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

Extensions (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves Extensions (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

113

Load control in low voltage level of the electricity grid using CHP appliances  

E-Print Network [OSTI]

as a Virtual Power Plant to the electricity grid. In this work we focus on different algorithms to control is centrally generated in large power plants and in which distribution means distribution from these power.g.c.bosman@utwente.nl Abstract--The introduction of µCHP (Combined Heat and Power) appliances and other means of distributed

Al Hanbali, Ahmad

114

Estimated Savings from Turning Off Unnecessary Electrical Loads During Unoccupied Periods at the Langford Architecture Center  

E-Print Network [OSTI]

in those studios during unoccupied hours. Turning off the lights on the third and fourth floor studios would reduce the electricity cost by $4,757 per year and the associated heating and cooling costs by an additional $583 for a total savings of $5,340...

Soebarto, V. I.; Haberl, J. S.; Degelman, L. O.

1996-01-01T23:59:59.000Z

115

Natural light controls and guides in buildings. Energy saving for electrical lighting, reduction of cooling load  

Science Journals Connector (OSTI)

Abstract The residential sector is responsible for approximately a quarter of energy consumption in Europe. This consumption, together with that of other buildings, mainly from the tertiary sector, makes up 40% of total energy consumption and 36% of CO2 emissions. Artificial lighting makes up 14% of electrical consumption in the European Union and 19% worldwide. Through the use of well-designed natural lighting, controlled by technologies or systems which guarantee accessibility from all areas inside buildings, energy consumption for lighting and air conditioning can be kept to a minimum. The authors of this article carried out a state of the art on the technologies or control systems of natural light in buildings, concentrating on those control methods which not only protect the occupants from direct solar glare but also maximize natural light penetration in buildings based on the occupants? preferences, whilst allowing for a reduction in electrical consumption for lighting and cooling. All of the control and/or natural light guidance systems and/or strategies guarantee the penetration of daylight into the building, thus reducing the electrical energy consumption for lighting and cooling. At the same time they improve the thermal and visual comfort of the users of the buildings. However various studies have also brought to light certain disadvantages to these systems.

E.J. Gago; T. Muneer; M. Knez; H. Köster

2015-01-01T23:59:59.000Z

116

Mechanical strength evaluation for Nd-YAG laser and electric resistance spot weld (ERSW) joint under multiaxial loading  

Science Journals Connector (OSTI)

This work presents a comparison between laser weld (LBW) and electric resistance spot weld (ERSW) processes used for assemblies of components in a body-in-white (BIW) at a world class automotive industry. It is carried out by evaluating the mechanical strength modeled both by experimental and numerical methods. An “Arcan” multiaxial test was designed and manufactured in order to enable 0°, 45° and 90° directional loadings. The welded specimens were uncoated low carbon steel sheets (Sy = 170 MPa) used currently at the automotive industry, with two different thicknesses: 0.80 and 1.20 mm. A numerical analysis was carried out using the finite element method (FEM) through LS-DYNA code.

Haroldo Akira Kavamura; Gilmar Ferreira Batalha

2008-01-01T23:59:59.000Z

117

Abstract--Load serving entities (LSE) and holders of default service obligations, in restructured electricity markets, provide  

E-Print Network [OSTI]

, in restructured electricity markets, provide electricity service at regulated or contracted fixed prices while standard forward contracts and commodity derivatives. Keywords: Electricity Markets, Risk Management, Volumetric hedging, I. INTRODUCTION The introduction of competitive wholesale markets in the electricity

Oren, Shmuel S.

118

Evaluation of Miscellaneous and Electronic Device Energy Use in Hospitals  

E-Print Network [OSTI]

(MELs) consume about one-third of the primary energy used in U.S. buildings, and their energy use by MELs in 2008. This paper presents methods and challenges for estimating medical MELs energy consumption1 Evaluation of Miscellaneous and Electronic Device Energy Use in Hospitals Douglas R

119

Miscellaneous Paper A-95-1 US Army Corps  

E-Print Network [OSTI]

Induced Stress in Submerse ·Aquatic Plants: A Review by Susan L. Sprecher, Michael D. Netherland in Submersed Aquatic Plants: A Review by Susan L. Sprecher, Michael D. Netherland U.S. Army Corps of Engineers. Netherland; pre pared for U.S. Army Corps of Engineers. 41 p. : ill. ; 28 em. - (Miscellaneous paper; A-95

US Army Corps of Engineers

120

Miscellaneous comments on boiler control tuning  

SciTech Connect (OSTI)

This article is about boiler control tuning, a task both difficult and important. Why is tuning of the boiler control so difficult Because it is essentially one large, interactive, non-linear control loop, which does not lend itself to automatic tuning. Why is good tuning of the boiler control so important Because it impacts boiler and turbine efficiency, unit ramp rate and generation error, unit turn-down (low load operation), and unit availability (ability to survive process upsets and equipment failures). Can you improve boiler operation through tuning alone Yes, if the practitioner of this art is competent, boiler control tuning can cover-up a multitude of sins. However, it is best to combined tuning with a new control system, appropriate control strategies, good measurements and small deadband actuators. This paper describes the basics of boiler control tuning.

Keller, G.Y. (Burns and Roe Enterprises, Oradell, NJ (United States))

1994-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "miscellaneous electric loads" 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. Residential Miscellaneous Refrigeration Products: Results from Amazon Mechanical Turk Surveys  

SciTech Connect (OSTI)

Amazon Mechanical Turk was used, for the first time, to collect statistically representative survey data from U.S. households on the presence, number, type and usage of refrigerators, freezers, and various “miscellaneous” refrigeration products (wine/beverage coolers, residential icemakers and non-vapor compression refrigerators and freezers), along with household and demographic information. Such products have been poorly studied to date, with almost no information available about shipments, stocks, capacities, energy use, etc. A total of 9,981 clean survey responses were obtained from five distinct surveys deployed in 2012. General refrigeration product survey responses were weighted to demographics in the U.S. Energy Information Administration’s Residential Energy Consumption Survey 2009 dataset. Miscellaneous refrigeration product survey responses were weighted according to demographics of product ownership found in the general refrigeration product surveys. Model number matching for a portion of miscellaneous refrigeration product responses allowed validation of refrigeration product characteristics, which enabled more accurate estimates of the penetrations of these products in U.S. households. We estimated that there were 12.3±1.0 million wine/beverage coolers, 5.5(–3.5,+3.2) million residential icemakers and 4.4(–2.7,+2.3) million non-vapor compression refrigerators in U.S. households in 2012. (All numerical results are expressed with ranges indicating the 95% confidence interval.) No evidence was found for the existence of non-vapor compression freezers. Moreover, we found that 15% of wine/beverage coolers used vapor compression cooling technology, while 85% used thermoelectric cooling technology, with the vast majority of thermoelectric units having capacities of less than 30 wine bottles (approximately 3.5 cubic feet). No evidence was found for the existence of wine/beverage coolers with absorption cooling technology. Additionally, we estimated that there were 3.6±1.0 million hybrid refrigerator-wine/beverage coolers and 0.9±0.5 million hybrid freezer-wine/beverage coolers in U.S. households. We also obtained estimates of miscellaneous refrigeration product capacities, lifetimes, purchase and installation costs, repair frequencies and costs, and maintenance costs. For wine/beverage coolers, we also obtained information on the penetration of built-in units, AC/DC operating capability, the use of internal lights, and distributions of door opening frequencies. This information is essential to develop detailed estimates of national energy usage and life-cycle costs, and would be helpful in obtaining information on other plug-load appliances. Additional information not highlighted in the main report was presented in Appendices.

Greenblatt, Jeffery B.; Young, Scott J.; Yang, Hung-Chia; Long, Timothy; Beraki, Bereket; Price, Sarah K.; Pratt, Stacy; Willem, Henry; Desroches, Louis-Benoit

2013-11-14T23:59:59.000Z

122

Miscellaneous States Natural Gas, Wet After Lease Separation Proved  

Gasoline and Diesel Fuel Update (EIA)

Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Miscellaneous States Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 156 1980's 180 193 74 81 77 77 136 66 84 87 1990's 72 76 93 96 67 69 68 44 39 67 2000's 42 83 100 134 110 132 139 241 272 349 2010's 363 393 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/1/2013 Next Release Date: 8/1/2014 Referring Pages: Natural Gas Proved Reserves, Wet After Lease Separation, as of Dec. 31 Miscellaneous Natural Gas Reserves Summary as of Dec. 31

123

Miscellaneous States Nonassociated Natural Gas, Wet After Lease Separation,  

Gasoline and Diesel Fuel Update (EIA)

Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Miscellaneous States Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 142 1980's 146 181 47 50 63 52 95 53 56 48 1990's 50 62 82 87 56 37 40 13 22 13 2000's 23 64 80 120 98 118 120 226 263 271 2010's 353 270 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/1/2013 Next Release Date: 8/1/2014 Referring Pages: Nonassociated Natural Gas Proved Reserves, Wet After Lease Separation, as of Dec. 31 Miscellaneous Nonassociated Natural Gas Proved Reserves, Wet After

124

Future energy loads for a large-scale adoption of electric vehicles in the city of Los Angeles: Impacts on greenhouse gas (GHG) emissions  

Science Journals Connector (OSTI)

Abstract Using plug-in electric vehicles (PEVs) has become an important component of greenhouse gas (GHG) emissions reduction strategy in the transportation sector. Assessing the net effect of \\{PEVs\\} on GHG emissions, however, is dependent on factors such as type and scale of electricity generation sources, adoption rate, and charging behavior. This study creates a comprehensive model that estimates the energy load and GHG emissions impacts for the years 2020 and 2030 for the city of Los Angeles. For 2020, model simulations show that the PEV charging loads will be modest with negligible effects on the overall system load profile. Contrary to previous study results, the average marginal carbon intensity is higher if PEV charging occurs during off-peak hours. These results suggest that current economic incentives to encourage off-peak charging result in greater GHG emissions. Model simulations for 2030 show that PEV charging loads increase significantly resulting in potential generation shortages. There are also significant grid operation challenges as the region?s energy grid is required to ramp up and down rapidly to meet PEV loads. For 2030, the average marginal carbon intensity for off-peak charging becomes lower than peak charging mainly due to the removal of coal from the power generation portfolio.

Jae D. Kim; Mansour Rahimi

2014-01-01T23:59:59.000Z

125

Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings in California  

E-Print Network [OSTI]

electric  interval  load  data  are  available  through details,  each uses electric load data from a period before using  customer  load  data  [KEMA  2003,  Quantum  2004, 

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

2008-01-01T23:59:59.000Z

126

C3Bio.org - Knowledge Base: Miscellaneous: How to View/Download...  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Knowledge Base Miscellaneous How to ViewDownload Video Content? Knowledge Base Main...

127

C3Bio.org - Knowledge Base: Miscellaneous: Why the math question...  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Knowledge Base Miscellaneous Why the math question? Knowledge Base Main page...

128

Integrating demand into the U.S. electric power system : technical, economic, and regulatory frameworks for responsive load  

E-Print Network [OSTI]

The electric power system in the US developed with the assumption of exogenous, inelastic demand. The resulting evolution of the power system reinforced this assumption as nearly all controls, monitors, and feedbacks were ...

Black, Jason W. (Jason Wayne)

2005-01-01T23:59:59.000Z

129

A review of existing commercial energy use intensity and load-shape studies  

SciTech Connect (OSTI)

This paper reviews and compares existing studies of energy use intensities (EUIs) and load shapes (LSs) in the commercial sector, focusing on studies that used California data. Our review of EUI studies found fairly good agreement on electric lighting and cooling EUIs. Other EUIs, notably electric miscellaneous in offices, retail, and food stores; electric refrigeration in restaurants and warehouses; electric cooking in restaurants; and electric water heating and ventilation for all types of premises exhibited the largest variations. The major variations in gas EUIs were found in restaurants (all end uses) and food stores (cooking and water heating). Our review of LS studies, which included existing LSs in use by Southern California Edison (SCE) Company, the California Energy Commission (CEC), and a Lawrence Berkeley Laboratory (LBL) study, uncovered two significant features of existing LS estimates. First, LSs were generally not consistent between studies (e.g., SCE and CEC had different load shapes for the same end use in the same type of premises), but these differences could often be related to differences in assumptions for operating hours. Second, for a given type of premise, LSs were often identical for each month and for peak and standard-days, suggesting that, according to some studies, these end uses were not affected by seasonal or climatic influences. 21 refs., 6 figs., 1 tab.

Akbari, H.; Turiel, I.; Eto, J.; Heinemeier, K.; Lebot, B.; Rainer, L.

1990-08-01T23:59:59.000Z

130

Miscellaneous States Associated-Dissolved Natural Gas, Wet After Lease  

Gasoline and Diesel Fuel Update (EIA)

Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Miscellaneous States Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14 1980's 34 12 27 31 14 25 41 13 28 39 1990's 22 14 11 9 11 32 28 31 17 54 2000's 19 19 20 14 12 14 19 15 9 78 2010's 10 104 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/1/2013 Next Release Date: 8/1/2014 Referring Pages: Associated-Dissolved Natural Gas Proved Reserves, Wet After Lease Separation, as of Dec. 31

131

200-Area plateau inactive miscellaneous underground storage tanks locations  

SciTech Connect (OSTI)

Fluor Daniel Northwest (FDNW) has been tasked by Lockheed Martin Hanford Corporation (LMHC) to incorporate current location data for 64 of the 200-Area plateau inactive miscellaneous underground storage tanks (IMUST) into the centralized mapping computer database for the Hanford facilities. The IMUST coordinate locations and tank names for the tanks currently assigned to the Hanford Site contractors are listed in Appendix A. The IMUST are inactive tanks installed in underground vaults or buried directly in the ground within the 200-East and 200-West Areas of the Hanford Site. The tanks are categorized as tanks with a capacity of less than 190,000 liters (50,000 gal). Some of the IMUST have been stabilized, pumped dry, filled with grout, or may contain an inventory or radioactive and/or hazardous materials. The IMUST have been out of service for at least 12 years.

Brevick, C.H.

1997-12-01T23:59:59.000Z

132

ELECTRIC  

Office of Legacy Management (LM)

you nay give us will be greatly uppreckted. VPry truly your23, 9. IX. Sin0j3, Mtinager lclectronics and Nuclear Physics Dept. omh , WESTINGHOUSE-THE NAT KING IN ELECTRICITY...

133

ELECTRIC  

Office of Legacy Management (LM)

ELECTRIC ELECTRIC cdrtrokArJclaeT 3 I+ &i, y$ \I &OF I*- j< t j,fci..- ir )(yiT !E-li, ( \-,v? Cl -p/4.4 RESEARCH LABORATORIES EAST PITTSBURGH, PA. 8ay 22, 1947 Mr. J. Carrel Vrilson General ?!!mager Atomic Qxzgy Commission 1901 Constitution Avenue Kashington, D. C. Dear Sir: In the course of OUT nuclenr research we are planning to study the enc:ri;y threshold anti cross section for fission. For thib program we require a s<>piAroted sample of metallic Uranium 258 of high purity. A quantity of at lezst 5 grams would probably be sufficient for our purpose, and this was included in our 3@icntion for license to the Atonic Energy Coskqission.. This license has been approved, 2nd rre would Llp!Jreciate informztion as to how to ?r*oceed to obtain thit: m2teria.l.

134

Supplement 17, Part 5, Parasite-Subject Catalogue, Parasites: Arthropoda And Miscellaneous  

E-Print Network [OSTI]

UNITED STATES DEPARTMENT OF AGRICULTURE INDEX-CATALOGUE OF MEDICAL AND VETERINARY ZOOLOGY SUPPLEMENT 17, PART 5 PARASITE-SUBJECT CATALOGUE PARASITES: ARTHROPODA AND MISCELLANEOUS PHYLA UNITED STATES DEPARTMENT OF AGRICULTURE INDEX...-CATALOGUE OF MEDICAL AND VETERINARY ZOOLOGY SUPPLEMENT 17, PART 5 PARASITE-SUBJECT CATALOGUE PARASITES: ARTHROPODA AND MISCELLANEOUS PHYLA By DOROTHY B. SEGAL, Zoologist JUDITH M. HUMPHREY, Zoologist SHIRLEY J. EDWARDS, Technical Information Specialist MARGIE...

Segal, Dorothy B.; Humphrey, Judith M.; Edwards, Shirley J.; Kirby, Margie D.

1969-01-01T23:59:59.000Z

135

Integrated estimation of commercial sector end-use load shapes and energy use intensities  

SciTech Connect (OSTI)

The Southern California Edison Company (SCE) and the California Energy Commission (CEC) have contracted with the Energy Analysis Program of the Applied Science Division at the Lawrence Berkeley Laboratory (LBL) to develop an integrated set of commercial sector load shapes (LS) and energy utilization indices (EUI) for use in forecasting electricity demand. The objectives of this project are to conduct detailed analyses of SCE data on commercial building characteristics, energy use, and whole-building load shapes; and in conjunction with other data, to develop, test, and apply an integrated approach for the estimation of end-use LSs and EUIs. The project represents one of the first attempts to combine simulation-based, prototypical building analyses with direct reconciliation to measured hourly load data. The project examined electricity and gas use for nine building types, including large offices, small offices, large retails, small retails, food stores, sitdown restaurants, fastfood restaurants, refrigerated warehouses, and non-refrigerated warehouses. For each building type, nine end uses were examined, including cooling, heating, ventilation, indoor lighting, outdoor lighting, miscellaneous equipment, water heating, cooking, and refrigeration. For the HVAC end uses (cooling, ventilation, and heating), separate analyses were performed for three climate zones: coastal, inland, and desert.

Akbari, H.; Eto, J.; Turiel, I.; Heinemeier, K.; Lebot, B.; Nordman, B.; Rainer, L.

1989-01-01T23:59:59.000Z

136

A case study review of technical and technology issues for transition of a utility load management program to provide system reliability resources in restructured electricity markets  

E-Print Network [OSTI]

Issues for Transition of a Utility Load Management ProgramSCE’s load management system is to transition from providinga transition from SCE’s current load management system to an

Weller, G.H.

2001-01-01T23:59:59.000Z

137

Load Management: Opportunity or Calamity?  

E-Print Network [OSTI]

larger now than prior to 1973. Utilities are examining two options which can be termed load management. One option is to control discretionary loads during peak periods. Cycling of residential water heaters or shutting off industrial electric furnaces...

Males, R.; Hassig, N.

1981-01-01T23:59:59.000Z

138

Methods for Detailed Energy Data Collection of Miscellaneous  

E-Print Network [OSTI]

primary energy consumption in the U.S., with 22% consumed by the residential sector and 18 and electronic loads (MELs) consume about 20% of the primary energy used in U.S. buildings, and this share% by the commercial sector. Figure 1 shows how the #12;4 primary energy use is broken down by end-use in the U

139

Electrical and Production Load Factors  

E-Print Network [OSTI]

behind energy use (such as technology) and account for structural differences in industries between countries, therefore allowing for a fair comparison of energy efficiency performance [12]. More importantly, the IEA?s work provides a basis... by the IEA, comprehensive analysis and review of available data and dialogue with experts in different industries. It is difficult to develop a single indicator of energy for an industry and therefore, a number of indicators need to be used to provide a...

Sen, Tapajyoti

2010-07-14T23:59:59.000Z

140

Appliances, Lighting, Electronics, and Miscellaneous Equipment Electricity Use in New Homes  

E-Print Network [OSTI]

Final Report: Zero Energy Home, Armory Park del Sol. Upperbuildingsdatabook.eere.energy.gov) ---. 2005a. Home Energyfor New Single-Family Homes. NREL/TP- 550-36920. Golden, CO:

Brown, Richard E.; Rittelman, William; Parker, Danny; Homan, Gregory

2007-01-01T23:59:59.000Z

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


141

Appliances, Lighting, Electronics, and Miscellaneous Equipment Electricity Use in New Homes  

E-Print Network [OSTI]

solar hot water, solar-assisted gas-fired boiler heating, asolar photovoltaic (PV) systems (IBACOS 2000). IBACOS assisted

Brown, Richard E.; Rittelman, William; Parker, Danny; Homan, Gregory

2007-01-01T23:59:59.000Z

142

Advanced Load Identification and Management for Buildings: Cooperative Research and Development Final Report, CRADA Number: CRD-11-422  

SciTech Connect (OSTI)

The goal of this CRADA work is to support Eaton Innovation Center (Eaton) efforts to develop advanced load identification, management technologies, and solutions to reduce building energy consumption by providing fine granular visibility of energy usage information and safety protection of miscellaneous electric loads (MELs) in commercial and residential buildings. MELs load identification and prediction technology will be employed in a novel 'Smart eOutlet*' to provide critical intelligence and information to improve the capability and functionality of building load analysis and design tools and building power management systems. The work scoped in this CRADA involves the following activities: development and validation of business value proposition for the proposed technologies through voice of customer investigation, market analysis, and third-party objective assessment; development and validation of energy saving impact as well as assessment of environmental and economic benefits; 'smart eOutlet' concept design, prototyping, and validation; field validation of the developed technologies in real building environments. (*Another name denoted as 'Smart Power Strip (SPS)' will be used as an alternative of the name 'Smart eOutlet' for a clearer definition of the product market position in future work.)

Gentile-Polese, L.

2014-05-01T23:59:59.000Z

143

Cleanup Verification Package for the 118-F-7, 100-F Miscellaneous Hardware Storage Vault  

SciTech Connect (OSTI)

This cleanup verification package documents completion of remedial action for the 118-F-7, 100-F Miscellaneous Hardware Storage Vault. The site consisted of an inactive solid waste storage vault used for temporary storage of slightly contaminated reactor parts that could be recovered and reused for the 100-F Area reactor operations.

M. J. Appel

2006-11-02T23:59:59.000Z

144

Page 1 of 2 Rev. 7/05 Request for Alien Information for Miscellaneous Income Payments  

E-Print Network [OSTI]

Page 1 of 2 Rev. 7/05 Request for Alien Information for Miscellaneous Income Payments IMPORTANT ­ Request for Alien Information is used to obtain basic taxpayer information for aliens. Part 2 for Alien Information: *Payee's Social Security Number or Individual Tax Identification Number

Krovi, Venkat

145

Plan and schedule for disposition and regulatory compliance for miscellaneous streams. Revision 1  

SciTech Connect (OSTI)

On December 23, 1991, the U.S. Department of Energy, Richland Operations Office (RL) and the Washington State Department of Ecology (Ecology) agreed to adhere to the provisions of Department of Ecology Consent Order No. DE 91NM-177 (Consent Order). The Consent Order lists regulatory milestones for liquid effluent streams at the Hanford Site to comply with the permitting requirements of Washington Administrative Code (WAC) 173-216 (State Waste Discharge Permit Program) or WAC 173-218 (Washington Underground Injection Control Program) where applicable. Hanford Site liquid effluent streams discharging to the soil column have been categorized in the Consent Order as follows: Phase I Streams Phase II Streams Miscellaneous Streams. Phase I and Phase II Streams are addressed in two RL reports: {open_quotes}Plan and Schedule to Discontinue Disposal of Contaminated Liquids into the Soil Column at the Hanford Site{close_quotes} (DOE-RL 1987), and {open_quotes}Annual Status of the Report of the Plan and Schedule to Discontinue Disposal of Contaminated Liquids into the Soil Column at the Hanford Site{close_quotes}. Miscellaneous Streams are those liquid effluent streams discharged to the ground that are not categorized as Phase I or Phase II Streams. Miscellaneous Streams discharging to the soil column at the Hanford Site are subject to the requirements of several milestones identified in the Consent Order. This document provides a plan and schedule for the disposition of Miscellaneous Streams. The disposition process for the Miscellaneous Streams is facilitated using a decision tree format. The decision tree and corresponding analysis for determining appropriate disposition of these streams is presented in this document.

NONE

1994-12-01T23:59:59.000Z

146

ISSUANCE 2015-02-03: Energy Efficiency Program for Residential Products: Energy Conservation Standards for Miscellaneous Refrigeration Products, Reopening of Public Comment Period  

Broader source: Energy.gov [DOE]

Energy Efficiency Program for Residential Products: Energy Conservation Standards for Miscellaneous Refrigeration Products, Reopening of Public Comment Period

147

Portland General Electric Co. Pilot Evaluation and  

E-Print Network [OSTI]

capability to support the utility's control of residential customers' central electric space heating systems DIRECT LOAD CONTROL PILOT FOR ELECTRIC SPACE HEAT #12;Direct Load Control Pilot for Electric Space Heat) an evaluation report of its direct load control pilot for electric space heat, called "Direct Load control Pilot

148

Configuring load as a resource for competitive electricity markets--Review of demand response programs in the U.S. and around the world  

E-Print Network [OSTI]

emergencies (see Table 2). Xcel’s Electric Reduction Savingsinstead, operated so that Xcel could avoid exceeding MAPPElectricity Cooperative Xcel Energy Investor-Owned Utility

Heffner, Grayson C.

2002-01-01T23:59:59.000Z

149

The method for determining the ball load and the grinding capacity of a ball-tube mill from the power consumed by its electric motor  

Science Journals Connector (OSTI)

The method for determining the ball load and the grinding capacity from the power consumed by the ball-tube mill under operating and emptying conditions is presented. The implementation of this method when gri...

L. V. Golyshev; I. S. Mysak

2012-08-01T23:59:59.000Z

150

MISCELLANEOUS PAPER S71-17 EARTHQUAKE RESISTANCE OF EARTH AND ROCK-FILL DAMS  

Office of Legacy Management (LM)

MISCELLANEOUS PAPER S71-17 MISCELLANEOUS PAPER S71-17 EARTHQUAKE RESISTANCE OF EARTH AND ROCK-FILL DAMS Report 2 ANALYSIS OF RESPONSE O F RIFLE.GAP D A M TO PROJECT RULISON UNDERGROUND NUCLEAR DETONATION bv J. E. Ahlberg, J. Fowler, L W. Heller ........ . . . . . . . . - . . . . . . . . . . . . . . . - . . - ...... *- , .... . . . - ->-w-J- * - : - . . June 1972 s~omsored by Office, Chief of Engineers, U. S. Army Conducted by U. S. A m y Engineer Waterways Experiment Station Soils and Pavements Laboratory Vicksburg, Mississippi APPROVED FOR WBLlC RELEASE: DISTRIBUTION UNLIMITED L i s t o f Associated Reports Previous reports under Engineering Study 540 are: "A Comparative Summary o f Current Earth Dam Analysis Methods for Earthquake Response," issued by Office, Chief o f Engineers, a s Inclosure 1 to Engineer

151

load data | OpenEI Community  

Open Energy Info (EERE)

51 51 Varnish cache server Home Groups Community Central Green Button Applications Developer Utility Rate FRED: FRee Energy Database More Public Groups Private Groups Features Groups Blog posts Content Stream Documents Discussions Polls Q & A Events Notices My stuff Energy blogs 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142234851 Varnish cache server load data Home Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 Commercial and Residential Hourly Load Data Now Available on OpenEI! building load building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: application/zip icon System Advisor Model Tool for Downloading Load Data

152

Load Management Made Simple  

E-Print Network [OSTI]

Company have moved to a demand side or load management mode which seeks to influence customers to change electric usage patterns to more efficiently use available generating capacity. Since 1970, the TUEC system peak demand has more than doubled from about...

Schneider, K.

1985-01-01T23:59:59.000Z

153

Field Trial of a Low-Cost, Distributed Plug Load Monitoring System  

SciTech Connect (OSTI)

Researchers have struggled to inventory and characterize the energy use profiles of the ever-growing category of so-called miscellaneous electric loads (MELs) because plug-load monitoring is cost-prohibitive to the researcher and intrusive to the homeowner. However, these data represent a crucial missing link to our understanding of how homes use energy, and we cannot control what we do not understand. Detailed energy use profiles would enable the nascent automated home energy management (AHEM) industry to develop effective control algorithms that target consumer electronics and other plug loads. If utility and other efficiency programs are to incent AHEM devices, they need large-scale datasets that provide statistically meaningful justification of their investments by quantifying the aggregate energy savings achievable. To address this need, we have investigated a variety of plug-load measuring devices available commercially and tested them in the laboratory to identify the most promising candidates for field applications. The scope of this report centers around the lessons learned from a field validation of one proof-of-concept system, called Smartenit (formerly SimpleHomeNet). The system was evaluated based on the rate of successful data queries, reliability over a period of days to weeks, and accuracy. This system offers good overall performance when deployed with up to ten end nodes in a residential environment, although deployment with more nodes and in a commercial environment is much less robust. We conclude that the current system is useful in selected field research projects, with the recommendation that system behavior is observed over time.

Auchter, B.; Cautley, D.; Ahl, D.; Earle, L.; Jin, X.

2014-03-01T23:59:59.000Z

154

Data Mining in Load Forecasting of Power System  

Science Journals Connector (OSTI)

This project applies Data Mining technology to the prediction of electric power system load forecast. It proposes a mining program of electric power load forecasting data based on the similarity of time series .....

Guang Yu Zhao; Yan Yan; Chun Zhou Zhao…

2013-01-01T23:59:59.000Z

155

Miscellaneous and Electronic Loads Energy Efficiency Opportunities for Commercial Buildings: A Collaborative Study by the United States and India  

E-Print Network [OSTI]

Demand-Side Management and Policies for Demand-Side Management A key focus area isapplication for demand-side management strategies (e.g. ,

Ghatikar, Girish

2014-01-01T23:59:59.000Z

156

Miscellaneous and Electronic Loads Energy Efficiency Opportunities for Commercial Buildings: A Collaborative Study by the United States and India  

E-Print Network [OSTI]

and provide energy efficiency and building technologies toStudy on Energy Efficiency in Buildings. Pacific Grove,in improving energy efficiency in commercial buildings would

Ghatikar, Girish

2014-01-01T23:59:59.000Z

157

Miscellaneous Analyses.  

E-Print Network [OSTI]

tc .) ............ 6.39 6.97 37.53 NATURAL GAS. A t m any places in the Brazos bottom where artesian w ells are sunk , gas either issues first or a long w ith water. T lie gas is som etim es suffi? c ien t to burn w ith a strong steady...

Adriance, Duncan; Tilson, P. S.; Harrington, H. H.

1895-01-01T23:59:59.000Z

158

Plug Load  

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

Residential Commercial Commercial Industrial Lighting Energy Smart Grocer Program HVAC Program Shell Measures Commercial Kitchen & Food Service Equipment Plug Load New...

159

Independent review of estimated load reductions for PJM's small customer load response pilot project  

E-Print Network [OSTI]

water heater (EWH) load control program operated as part of PJM Interconnection’s Demand ResponseDemand Response Economic and Emergency Load Response Programs Electric Thermal Storage Electric Water Heaterwater pumps and electric thermal storage space heaters. The CSP is also participating in PJM’s pilot Demand Response

Heffner, G.; Moezzi, M.; Goldman, C.

2004-01-01T23:59:59.000Z

160

U.S. Residential Miscellaneous Refrigeration Products: Results from Amazon Mechanical Turk Surveys  

E-Print Network [OSTI]

refrigerator operate with propane as well as electricity?refrigerator operate with propane as well as electricity? [freezer operate with propane as well as electricity? [

Greenblatt, Jeffery B.

2014-01-01T23:59:59.000Z

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


161

2014-11-26 Issuance: Test Procedures for Miscellaneous Refrigeration Products; Notice of Proposed Rulemaking  

Broader source: Energy.gov [DOE]

This document is a pre-publication Federal Register notice of proposed rulemaking regarding test procedures for miscellaneous refrigeration products, as issued by the Deputy Assistant Secretary for Energy Efficiency on November 26, 2014. Though it is not intended or expected, should any discrepancy occur between the document posted here and the document published in the Federal Register, the Federal Register publication controls. This document is being made available through the Internet solely as a means to facilitate the public's access to this document.

162

Residential implementation of critical-peak pricing of electricity  

E-Print Network [OSTI]

to time-of-day electricity pricing: first empirical results.S. The trouble with electricity markets: understandingresidential peak-load electricity rate structures. Journal

Herter, Karen

2006-01-01T23:59:59.000Z

163

Load Control  

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

Visualization and Controls Peer Review Visualization and Controls Peer Review Load Control for System Reliability and Measurement-Based Stability Assessment Dan Trudnowski, PhD, PE Montana Tech Butte, MT 59701 dtrudnowski@mtech.edu 406-496-4681 October 2006 2 Presentation Outline * Introduction - Goals, Enabling technologies, Overview * Load Control - Activities, Status * Stability Assessment - Activities, Status * Wrap up - Related activities, Staff 3 Goals * Research and develop technologies to improve T&D reliability * Technologies - Real-time load control methodologies - Measurement-based stability-assessment 4 Enabling Technologies * Load control enabled by GridWise technology (e.g. PNNL's GridFriendly appliance) * Real-time stability assessment enabled by Phasor Measurement (PMU) technology 5 Project Overview * Time line: April 18, 2006 thru April 17, 2008

164

High payload six-axis load sensor  

DOE Patents [OSTI]

A repairable high-payload six-axis load sensor includes a table, a base, and at least three shear-pin load transducers removably mounted between the table and the base. Removable mounting permits easy replacement of damaged shear pins. Preferably, the shear-pin load transducers are responsive to shear forces imparted along the two axes perpendicular to an axis of minimum sensitivity characteristic of the transducer. Responsive to an applied shear force, each shear-pin load transducer can produce an electrical signal proportional to the reaction force. The load sensor can further include a structure for receiving the proportional electrical signals and computing the applied load corresponding to the proportional electrical signals. The computed load can be expressed in terms of a three-dimensional XYZ Cartesian coordinate system.

Jansen, John F. (Knoxville, TN); Lind, Randall F. (Knoxville, TN)

2003-01-01T23:59:59.000Z

165

A Novel Approach to Determining Motor Load  

E-Print Network [OSTI]

A NOVEL APPROACH TO DETERMINING MOTOR LOAD by Michael Brown Georgia Tech Research Institute Atlanta, Georgia ABSTRACf Properly sized electric motors are essential if industrial plant efficiency is to be optimized and energy costs... minimized. Because of the difficully in making power measurements on three phase motors, loading is rarely, if ever, checked. A simple indication of motor load can be achieved by measuring operating speed because speed and load are almost linearly...

Brown, M.

166

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network [OSTI]

energy flows in the building electrical load tree. . . . . . . . . . . . . . . . . . . . . . . .intrinsic property of energy load trees is additivity - thevisualization of energy flows in the load tree, as shown in

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

167

Presentation title: This can be up to 2 lines  

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

component of cooling adjustment * Update energy consumption of Miscellaneous Electric Loads (MELs) based on updated TIAX report (if completed in time for AEO2013) -...

168

2014 Building America House Simulation Protocols  

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

Laboratory LED light-emitting diode MAT monthly average temperature MEL miscellaneous electric load NCTH New Construction Test Home NREL National Renewable Energy Laboratory NREMD...

169

DOE Announces More Than $76 Million for Advanced Energy-Efficient...  

Office of Environmental Management (EM)

and pursuing technologies that apply to both air conditioning and refrigeration. Water Heating, Residential, and Commercial Appliances and Miscellaneous Electric Loads (6,033,246...

170

Retail electricity competition  

E-Print Network [OSTI]

We analyze a number of unstudied aspects of retail electricity competition. We first explore the implications of load profiling of consumers whose traditional meters do not allow for measurement of their real time consumption, ...

Joskow, Paul L.

2004-01-01T23:59:59.000Z

171

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page inTenTionally lefT blank 91 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2012, DOE/EIA-M068(2012). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

172

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 95 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2011, DOE/EIA-M068(2011). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

173

Electricity Market Module  

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

Market Module Market Module This page inTenTionally lefT blank 101 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2013, DOE/EIA-M068(2013). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

174

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

DOE Patents [OSTI]

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

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

2006-12-12T23:59:59.000Z

175

Load Management and Houston Lighting and Power Co.  

E-Print Network [OSTI]

Defining Load Management as influencing of customer loads in order to shift the time use of electric power and energy, encompasses a broad spectrum of activities at Houston Lighting & Power Company. This paper describes those activities by directing...

Drawe, R. G.; Ramsay, I. M.

1984-01-01T23:59:59.000Z

176

Load Data and Load Vector Assembly  

Science Journals Connector (OSTI)

Data for loading cases in solid mechanics problems is described. The following external loading factors can be specified: concentrated nodal forces, distributed surface forces, and thermal loading. JavaTM class F...

2010-01-01T23:59:59.000Z

177

1994 Pacific Northwest Loads and Resources Study.  

SciTech Connect (OSTI)

The 1994 Pacific Northwest Loads and Resources Study presented herein establishes a picture of how the agency is positioned today in its loads and resources balance. It is a snapshot of expected resource operation, contractual obligations, and rights. This study does not attempt to present or analyze future conservation or generation resource scenarios. What it does provide are base case assumptions from which scenarios encompassing a wide range of uncertainties about BPA`s future may be evaluated. The Loads and Resources Study is presented in two documents: (1) this summary of Federal system and Pacific Northwest region loads and resources and (2) a technical appendix detailing the loads and resources for each major Pacific Northwest generating utility. This analysis updates the 1993 Pacific Northwest Loads and Resources Study, published in December 1993. In this loads and resources study, resource availability is compared with a range of forecasted electricity consumption. The Federal system and regional analyses for medium load forecast are presented.

United States. Bonneville Power Administration.

1994-12-01T23:59:59.000Z

178

Electric Drive Vehicle Climate Control Load Reduction  

Broader source: Energy.gov [DOE]

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

179

Electric Drive Vehicle Climate Control Load Reduction  

Broader source: Energy.gov [DOE]

2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

180

,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...  

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

January 23, 2008" ,"Next Update: October 2007" ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, " ,"2005...

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


181

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

Science Journals Connector (OSTI)

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

C. Álvarez; A. Gabaldón

1994-01-01T23:59:59.000Z

182

Thermionic converter in load-switching mode  

SciTech Connect (OSTI)

An electrical equivalent circuit is proposed for a thermionic electrogenerating element. It is suitable for calculation of transients in load-switching mode. Formulas are given for estimating circuit parameters. A sample numerical calculation is given for the transient between no-load and short-circuit regimes. The results may be employed to identify experimental data in the frequency domain.

Mendel'baum, M.A.; Es'kov, V.D.

1983-01-01T23:59:59.000Z

183

DSM Electricity Savings Potential in the Buildings Sector in APP Countries  

E-Print Network [OSTI]

owned integrated hydro electricity utilities prevail,s Loading Order for Electricity Resources”, Staff Report,International Developments in Electricity Demand Management

McNeil, MIchael

2011-01-01T23:59:59.000Z

184

LANL physicists discuss electrical grid in journal article  

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

a new model of the nonlinear dynamics of electrical distribution grids that reveal the fundamentals of disruptive electrical load behavior. The research team The scientists work...

185

16 Load Data Cleansing and Bus Load  

E-Print Network [OSTI]

375 16 Load Data Cleansing and Bus Load Coincidence Factors* Wenyuan Li, Ke Wang, and Wijarn Wangdee 16.1 INTRODUCTION Load curve data refer to power consumptions recorded by meters at certain time intervals at buses of individual substations. Load curve data are one of the most important datasets

Wang, Ke

186

Liquid metal thermal electric converter  

DOE Patents [OSTI]

A liquid metal thermal electric converter which converts heat energy to electrical energy. The design of the liquid metal thermal electric converter incorporates a unique configuration which directs the metal fluid pressure to the outside of the tube which results in the structural loads in the tube to be compressive. A liquid metal thermal electric converter refluxing boiler with series connection of tubes and a multiple cell liquid metal thermal electric converter are also provided.

Abbin, Joseph P. (Albuquerque, NM); Andraka, Charles E. (Albuquerque, NM); Lukens, Laurance L. (Albuquerque, NM); Moreno, James B. (Albuquerque, NM)

1989-01-01T23:59:59.000Z

187

1993 Pacific Northwest Loads and Resources Study.  

SciTech Connect (OSTI)

The Loads and Resources Study is presented in three documents: (1) this summary of Federal system and Pacific Northwest region loads and resources; (2) a technical appendix detailing forecasted Pacific Northwest economic trends and loads, and (3) a technical appendix detailing the loads and resources for each major Pacific Northwest generating utility. In this loads and resources study, resource availability is compared with a range of forecasted electricity consumption. The forecasted future electricity demands -- firm loads -- are subtracted from the projected capability of existing and {open_quotes}contracted for{close_quotes} resources to determine whether Bonneville Power Administration (BPA) and the region will be surplus or deficit. If resources are greater than loads in any particular year or month, there is a surplus of energy and/or capacity, which BPA can sell to increase revenues. Conversely, if firm loads exceed available resources, there is a deficit of energy and/or capacity, and additional conservation, contract purchases, or generating resources will be needed to meet load growth. The Pacific Northwest Loads and Resources Study analyzes the Pacific Northwest`s projected loads and available generating resources in two parts: (1) the loads and resources of the Federal system, for which BPA is the marketing agency; and (2) the larger Pacific Northwest regional power system, which includes loads and resource in addition to the Federal system. The loads and resources analysis in this study simulates the operation of the power system under the Pacific Northwest Coordination Agreement (PNCA) produced by the Pacific Northwest Coordinating Group. This study presents the Federal system and regional analyses for five load forecasts: high, medium-high, medium, medium-low, and low. This analysis projects the yearly average energy consumption and resource availability for Operating Years (OY) 1994--95 through 2003--04.

United States. Bonneville Power Administration.

1993-12-01T23:59:59.000Z

188

Electric Currents Electric Current  

E-Print Network [OSTI]

coefficient of resistivity Electric Power: = = = Also, = . So, = = 2 = 2 Unit of Power(P): Watt (WChapter 18 Electric Currents #12;Electric Current: Flow of electric charge Current is flow of positive charge. In reality it's the electron moves in solids- Electron current. #12;Ohm's Law : Resistance

Yu, Jaehoon

189

AMTEC Response to Changes in Resistive Loading  

Science Journals Connector (OSTI)

An important aspect of electric power supply systems is their inherent response time to rapid changes in loading demands. This presentation reviews the experimental response of an Alkali Metal Thermal Electric Converter (AMTEC) system when switched from open circuit to stable resistive loads. Our data show a nominal 35?Watt AMTEC converter responded rapidly throughout the power curve. Response times from open circuit to delivering 90% of peak DC current were within 0.25 milliseconds to 0.85 milliseconds for a range of electrically resistive loads at several typical AMTEC operational temperatures. Such response times to load changes suggest that AMTEC may be suitable as a primary power supply or backup power supply for critical space applications.

Robert W. Fletcher; Thomas K. Hunt

2003-01-01T23:59:59.000Z

190

1991 Pacific Northwest Loads and Resources Study.  

SciTech Connect (OSTI)

This study establishes the Bonneville Power Administration's (BPA) planning basis for supplying electricity to BPA customers. The Loads and Resources Study is presented in three documents: (1) this summary of federal system and Pacific Northwest region loads and resources; (2) a technical appendix detailing forecasted Pacific Northwest economic trends and loads, and (3) a technical appendix detailing the loads and resources for each major Pacific Northwest generating utility. This analysis updates our 1990 study. BPS's long-range planning incorporates resource availability with a range of forecasted electrical consumption. The forecasted future electrical demands-firm loads--are subtracted from the projected capability of existing resources to determine whether BPA and the region will be surplus or deficit. If resources are greater than loads in any particular year or month, there is a surplus of energy and/or capacity, which BPA can sell to increase revenues. Conversely, if firm loads exceed available resources, there is a deficit of energy and/or capacity, then additional conservation, contract purchases, or generating resources will be needed to meet load growth. This study analyzes the Pacific Northwest's projected loads and available generating resources in two parts: (1) the loads and resources of the federal system, for which BPA is the marketing agency; and (2) the larger Pacific Northwest regional profile, which includes loads and resources in addition to the federal system. This study presents the federal system and regional analyses for five load forecasts: high, medium-high, medium, medium-low, and low. This analysis projects the yearly average energy consumption and resource availability for 1992- 2012.

United States. Bonneville Power Administration.

1991-12-01T23:59:59.000Z

191

Computational Needs for the Next Generation Electric Grid Proceedings  

E-Print Network [OSTI]

Analysis  of  Wind  Power  and  Load  Data  at  Multiple Load?Analysis  J Model  for  Electric  Power  Distribution  Facilities  Using  Consumer  Meter?Reading  Data”, data  generated  by  the  power  provider,  such  as  pricing  or  load 

Birman, Kenneth

2012-01-01T23:59:59.000Z

192

Electrical conductivity of segregated network polymer nanocomposites  

E-Print Network [OSTI]

in both electrical and mechanical properties with low carbon black loading, while the solution-based composite achieves its maximum enhancement at higher carbon black loading (~25wt%). The effect of the particle size ratio between the polymer particle...

Kim, Yeon Seok

2009-06-02T23:59:59.000Z

193

Addendum to the Closure Report for Corrective Action Unit 547: Miscellaneous Contaminated Waste Sites, Nevada National Security Site, Nevada  

SciTech Connect (OSTI)

This addendum to the Closure Report for Corrective Action Unit 547: Miscellaneous Contaminated Waste Sites, Nevada National Security Site, Nevada, DOE/NV--1480, dated July 2012, documents repairs of erosion and construction of engineered erosion protection features at Corrective Action Site (CAS) 02-37-02 (MULLET) and CAS 09-99-06 (PLAYER). The final as-built drawings are included in Appendix A, and photographs of field work are included in Appendix B. Field work was completed on March 11, 2013.

none,

2013-07-31T23:59:59.000Z

194

2012 CERTS LAAR Program Peer Review - Integration and Extension of Direct Load Management of Smart Loads - Anna Scaglioni, UC Davis  

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

Integration and Extension of Direct Integration and Extension of Direct Load Management of Smart Loads Anna Scaglione, UC Davis GRA: Mahnoosh Alizadeh Project objective  Invent methods to "store" load demand for * Real-time "generation following" * Integration of load reserves as dispatchable assets in the Energy Market  Architecture for virtual "reserves" (queues) of electrical load demand * Watts to Job mapping (analysis)  Captures digitally the service requirements - Equal service type = Equal queue * Job to Watts mapping (synthesis)  Allows to optimally schedule the load profile Major technical accomplishments  Centralized model: Digital Direct Load Scheduling (DDLS) - Year 1-Year 2

195

Exploiting Home Automation Protocols for Load Monitoring in Smart Buildings  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

196

Hydrogen and electricity: Parallels, interactions,and convergence  

E-Print Network [OSTI]

load factor and electricity costs. In a hydrogen economy, HkW h. At these low electricity costs, this translates tothe remaining (non-electricity) costs between $0.70 and $4:

Yang, Christopher

2008-01-01T23:59:59.000Z

197

Definition: Reduced Electricity Losses | Open Energy Information  

Open Energy Info (EERE)

Losses Losses Jump to: navigation, search Dictionary.png Reduced Electricity Losses Functions that provide this benefit could help manage peak feeder loads, reduced electricity throughput, locate electricity production closer to the load and ensure that voltages remain within service tolerances, while minimizing the amount of reactive power provided. These actions can reduce electricity losses by making the system more efficient for a given load served or by actually reducing the overall load on the system.[1] Related Terms load, electricity generation, reactive power, smart grid References ↑ SmartGrid.gov 'Description of Benefits' An inl LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ine Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Reduced_Electricity_Losses&oldid=502644

198

Definition: Base Load | Open Energy Information  

Open Energy Info (EERE)

Load Load Jump to: navigation, search Dictionary.png Base Load The minimum amount of electric power delivered or required over a given period at a constant rate.[1] View on Wikipedia Wikipedia Definition Baseload (also base load, or baseload demand) is the minimum amount of power that a utility or distribution company must make available to its customers, or the amount of power required to meet minimum demands based on reasonable expectations of customer requirements. Baseload values typically vary from hour to hour in most commercial and industrial areas. Related Terms electricity generation, power, smart grid References ↑ Glossary of Terms Used in Reliability Standards An in Like Like You like this.Sign Up to see what your friends like. line Glossary Definition Retrieved from

199

Location Student Fac/Staff Disabled Special OLLI Reserved Electric Carpool Park and Pay 30 Minute Loading Maint/Service State Vehicle Motorcycle Control* S / L** P / T / LD*** Location Total Alumni House 1 1 17 D L P 19  

E-Print Network [OSTI]

Loading Maint/Service State Vehicle Motorcycle Control* S / L** P / T / LD*** Location Total Alumni House = Surface Lot *** P = Permanent, T = Temporary, LD = Leased Structure 5,631 Motorcycle space count is not included in "Total Spaces" count and is an es mate of how many motorcycles can park in each area Surface

de Lijser, Peter

200

Load sensing system  

DOE Patents [OSTI]

A load sensing system inexpensively monitors the weight and temperature of stored nuclear material for long periods of time in widely variable environments. The system can include an electrostatic load cell that encodes weight and temperature into a digital signal which is sent to a remote monitor via a coaxial cable. The same cable is used to supply the load cell with power. When multiple load cells are used, vast

Sohns, Carl W. (Oak Ridge, TN); Nodine, Robert N. (Knoxville, TN); Wallace, Steven Allen (Knoxville, TN)

1999-01-01T23:59:59.000Z

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


201

Designing a residential hybrid electrical energy storage system based on the energy buffering strategy  

Science Journals Connector (OSTI)

Due to severe variation in load demand over time, utility companies generally raise electrical energy price during periods of high load demand. A grid-connected hybrid electrical energy storage (HEES) system can help residential users lower their electric ... Keywords: electric bill savings, energy management, hybrid electrical energy storage system

Di Zhu; Siyu Yue; Yanzhi Wang; Younghyun Kim; Naehyuck Chang; Massoud Pedram

2013-09-01T23:59:59.000Z

202

Loading margin Stable operating  

E-Print Network [OSTI]

Linear approximation at p1 Actual loading margin Loadingmargin Parameter p p1 p2 p3 IEEE Transactions collapse. Linear and quadratic estimates to the variation of the loading margin with respect to any sys power support, wheeling, load model param- eters, line susceptance, and generator dispatch. The accuracy

203

1995 Pacific Northwest Loads and Resources Study.  

SciTech Connect (OSTI)

The study establishes the planning basis for supplying electricity to customers. The study presents projections of regional and Federal system load and resource capabilities, and serves as a benchmark for annual BPA determinations made pursuant to the 1981 regional power sales contracts.

United States. Bonneville Power Administration.

1995-12-01T23:59:59.000Z

204

Evaluation of Non-Intrusive Load Monitoring for shipboard cycling system diagnostics  

E-Print Network [OSTI]

The Non-Intrusive Load Monitor (NILM) is a device that utilizes voltage and current measurements to determine the operating schedule of all of the major loads on an electrical service. Additionally, the NILM can use its ...

Mosman, James P. (James Paul)

2006-01-01T23:59:59.000Z

205

1997 Pacific Northwest Loads and Resources Study.  

SciTech Connect (OSTI)

The 1997 White Book is presented in two documents: (1) this summary of Federal system and Pacific Northwest region loads and resources; and (2) a technical appendix detailing the loads and resources for each major Pacific Northwest generating utility. Data detailing Pacific Northwest non-utility generating (NUG) resources is also available upon request. This analysis updates the 1996 pacific Northwest Loads and Resources Study, published in December 1996. In this loads and resources study, resource availability is compared with a medium forecast of electricity consumption. This document analyzes the Pacific Northwest`s projected loads and available generating resources in two parts: (1) the loads and resources of the Federal system, for which BPA is the marketing agency; and (2) the larger Pacific Northwest regional power system which includes loads and resources in addition to the Federal system. This study presents the Federal system and regional analyses for the medium load forecast. This analysis projects the yearly average energy consumption and resource availability for Operating Years (OY) 1998--99 through 2007--08.

United States. Bonneville Power Administration.

1997-12-01T23:59:59.000Z

206

Breakout Session: Solar as a Base Load Power Source  

Broader source: Energy.gov [DOE]

Does solar have a future as a base load electricity source? This session explores a vision in which solar power plants can provide dispatchability, predictability, and reliability comparable to...

207

Improving shipboard applications of non-intrusive load monitoring  

E-Print Network [OSTI]

The Non-Intrusive Load Monitor (NILM) measures equipment performance by measuring and analyzing the source power to the equipment at a single point in the electrical system. Previous studies have proven the usefulness of ...

Jones, Richard A. (Richard Alan), Nav. E. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

208

Systems and methods for providing power to a load based upon a control strategy  

SciTech Connect (OSTI)

Systems and methods are provided for an electrical system. The electrical system, for example, includes a first load, an interface configured to receive a voltage from a voltage source, and a controller configured to receive the voltage through the interface and to provide a voltage and current to the first load. The controller may be further configured to, receive information on a second load electrically connected to the voltage source, determine an amount of reactive current to return to the voltage source such that a current drawn by the electrical system and the second load from the voltage source is substantially real, and provide the determined reactive current to the voltage source.

Perisic, Milun; Lawrence, Christopher P; Ransom, Ray M; Kajouke, Lateef A

2014-11-04T23:59:59.000Z

209

Optimal Decentralized Protocols for Electric Vehicle Charging  

E-Print Network [OSTI]

1 Optimal Decentralized Protocols for Electric Vehicle Charging Lingwen Gan Ufuk Topcu Steven Low Abstract--We propose decentralized algorithms for optimally scheduling electric vehicle (EV) charging. The algorithms exploit the elasticity and controllability of electric vehicle loads in order to fill the valleys

Low, Steven H.

210

Quantifying Changes in Building Electricity Use, with Application to Demand Response  

E-Print Network [OSTI]

electric loads to deliver load following and regu- lation,6], and regulation/load following [7]), and as DR is used toload as a function of time-of-week and outdoor air temperature. Following

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

211

Incentivizing Advanced Load Scheduling in Smart Homes , and David Irwin  

E-Print Network [OSTI]

Incentivizing Advanced Load Scheduling in Smart Homes Ye Xu , and David Irwin , and Prashant Shenoy Department of Electrical and Computer Engineering School of Computer Science University of Massachusetts Amherst ABSTRACT In recent years, researchers have proposed numerous advanced load scheduling algorithms

Massachusetts at Amherst, University of

212

Industrial Load Shaping: A Utility Strategy to Deal with Competition  

E-Print Network [OSTI]

INDUSTRIAL LOAD SHAPING: A UTILITY STRATEGY TO DEAL WITH COMPETITION DONALD BULES BULES AND ASSOCIATES SAN FRANCISCO, ABSTRACT In recent years competition from various sources such as cogeneration and bypass has led many utilities... to refocus attention on their large industrial customers. Industrial load shaping is a customized program involving cost-effective process modifications and operational changes which result in a restructuring of the electric load profile of individual...

Bules, D.

213

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: February 2012 Electric Power Sector Coal Stocks: February 2012 Stocks The unseasonably warm temperatures that the continental United States experienced throughout the winter, coupled with low natural gas prices, caused coal stocks at power plants to increase throughout the winter of 2011 - 2012. During this period, coal stocks usually see a seasonal decline due to the added need for electricity generation from coal plants for spacing heating load. However, it was the sixth straight month that coal stocks increased from the previous month, with this trend likely to continue as the country enters into spring. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current

214

Electricity Reliability  

E-Print Network [OSTI]

Electricity Delivery and Energy Reliability High Temperature Superconductivity (HTS) Visualization in the future because they have virtually no resistance to electric current, offering the possibility of new electric power equipment with more energy efficiency and higher capacity than today's systems

215

Independent review of estimated load reductions for PJM's small customer load response pilot project  

SciTech Connect (OSTI)

This study describes the results of a low-cost approach used to measure reported load reductions from a residential electric water heater (EWH) load control program operated as part of PJM Interconnection's Demand Response small customer pilot program. Lawrence Berkeley National Laboratory (LBNL) conducted this independent review of the engineering estimates for EWH load control reported by a Curtailment Service Provider (CSP) at PJM's request. LBNL employed low-cost measurement and verification (M&V) approaches that utilized existing interval metering equipment to monitor results for a series of load control tests. The CSP collected hourly load data for two substations and several hundred households over a six-week period in October and November 2003. During this time period, the CSP operated its electric water heater load control program during pre-specified test periods in the morning, afternoon and early evening. LBNL then analyzed substation and premise-level data from these tests in order to verify the diversified demand reductions claimed by the CSP for customers participating in the EWH load control program. We found that the observed load reductions for the premise-level data aggregated over all households in the two participating electric cooperatives were, respectively, 40 percent-60 percent less and 3 percent less-10 percent higher than the estimated diversified demand reduction values assumed by the CSP, depending on whether observed or normalized results are considered. We also analyzed sub-station level data and found that the observed load reductions during the test periods were significantly lower than expected, although confounding influences and operational problems signifiogram during pre-specified test periods in the morning, afternoon and early evening. LBNL then analyzed substation and premise-level data from these tests in order to verify the diversified demand reductions claimed by the CSP for customers participating in the EWH load control program. We found that the observed load reductions for the premise-level data aggregated over all households in the two participating electric cooperatives were, respectively, 40 percent-60 percent less and 3 percent less-10 percent higher than the estimated diversified demand reduction values assumed by the CSP, depending on whether observed or normalized results are considered. We also analyzed sub-station level data and found that the observed load reductions during the test periods were significantly lower than expected, although confounding influences and operational problems significantly limit our ability to differentiate between control-related and non-control related differences in substation-level load shape data. The usefulness and accuracy of the results were hampered by operational problems encountered during the measurement period as well as in sufficient number of load research grade interval meters at one cooperative. Given the larger sample size at one electric cooperative and more statistically-robust results, there is some basis to suggest that the Adjusted Diversified Demand Factor (ADDF) values used by the CSP somewhat over-state the actual load reductions. Given the results and limitations of the M&V approach as implemented, we suggest several options for PJM to consider: (1) require load aggregators participating in ISODR programs to utilize formal PURPA-compliant load research samples in their M&V plans, and (2) continue developing lower cost M&V approaches for mass market load control programs that incorporate suggested improvements described in this study.

Heffner, G.; Moezzi, M.; Goldman, C.

2004-06-01T23:59:59.000Z

216

Load regulating expansion fixture  

DOE Patents [OSTI]

A free standing self contained device for bonding ultra thin metallic films, such as 0.001 inch beryllium foils is disclosed. The device will regulate to a predetermined load for solid state bonding when heated to a bonding temperature. The device includes a load regulating feature, whereby the expansion stresses generated for bonding are regulated and self adjusting. The load regulator comprises a pair of friction isolators with a plurality of annealed copper members located therebetween. The device, with the load regulator, will adjust to and maintain a stress level needed to successfully and economically complete a leak tight bond without damaging thin foils or other delicate components. 1 fig.

Wagner, L.M.; Strum, M.J.

1998-12-15T23:59:59.000Z

217

Load regulating expansion fixture  

DOE Patents [OSTI]

A free standing self contained device for bonding ultra thin metallic films, such as 0.001 inch beryllium foils. The device will regulate to a predetermined load for solid state bonding when heated to a bonding temperature. The device includes a load regulating feature, whereby the expansion stresses generated for bonding are regulated and self adjusting. The load regulator comprises a pair of friction isolators with a plurality of annealed copper members located therebetween. The device, with the load regulator, will adjust to and maintain a stress level needed to successfully and economically complete a leak tight bond without damaging thin foils or other delicate components.

Wagner, Lawrence M. (San Jose, CA); Strum, Michael J. (San Jose, CA)

1998-01-01T23:59:59.000Z

218

Load sensing system  

DOE Patents [OSTI]

A load sensing system inexpensively monitors the weight and temperature of stored nuclear material for long periods of time in widely variable environments. The system can include an electrostatic load cell that encodes weight and temperature into a digital signal which is sent to a remote monitor via a coaxial cable. The same cable is used to supply the load cell with power. When multiple load cells are used, vast inventories of stored nuclear material can be continuously monitored and inventoried of minimal cost. 4 figs.

Sohns, C.W.; Nodine, R.N.; Wallace, S.A.

1999-05-04T23:59:59.000Z

219

Electrical insulation  

Science Journals Connector (OSTI)

n....Material with very low conductivity, which surrounds active electrical devices. Common electrical insulation chemicals are fluorine-containing polymers.

2007-01-01T23:59:59.000Z

220

Electrical Insulation  

Science Journals Connector (OSTI)

n...Material with very low conductivity which surrounds active electrical devices. Common electrical insulation chemicals are fluorine-containing polymers (Dissado LA...

Jan W. Gooch

2011-01-01T23:59:59.000Z

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


221

Building Load Simulation and Validation of an Office Building  

E-Print Network [OSTI]

of the model for electricity use were calibrated to match the actual electricity use for the average year of the available data for years 1998, 1999, and 2000. The monthly and annual cooling loads of the building were calculated by using the DOE2.1E. The extra...

Alghimlas, F.

2002-01-01T23:59:59.000Z

222

Covered Product Category: Air-Cooled Electric Chillers | Department...  

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

that application as shown below. Table 1. Efficiency Requirements for Federal Purchases: Air-Cooled Electric Chillersa Full-Load Optimized Applications products must meet both...

223

Commercial and Residential Hourly Load Data Now Available on OpenEI! |  

Open Energy Info (EERE)

Commercial and Residential Hourly Load Data Now Available on OpenEI! Commercial and Residential Hourly Load Data Now Available on OpenEI! Home > Groups > Utility Rate Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 building load building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL I am pleased to announce that simulated hourly residential and commercial building load datasets are now available on OpenEI. These datasets are available for all TMY3 locations in the United States. They contain hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). In addition to various

224

Taking a Bite out of Lighting Loads  

E-Print Network [OSTI]

Take a Bite Out of Lighting Loads With LEDs Stephen Williams Toshiba Sales Support Manager ESL-KT-13-12-34 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Some LED Advantages • Less electricity ? 18w LED... = 100w PAR38 • No maintenance for years ? 50,000 LED vs.10,000 CFL • Improved light quality ? 80 CRI LED vs. 25 CRI HPS • Reduce HVAC cooling load • Advanced control options ESL-KT-13-12-34 CATEE 2013: Clean Air Through Energy Efficiency Conference, San...

Williams, S.

2013-01-01T23:59:59.000Z

225

Predicting pipeline frost load  

SciTech Connect (OSTI)

A study was undertaken to find a formula for predicting the additional load imposed on underground pipelines by soil freezing. The authors conclude that a modified Boussinesq equation can be used to assess this load. Results also showed that frost affects the modulus of soil reaction and therefore the induced stress in flexible pipe.

Fielding, M.B.; Cohen, A.

1988-11-01T23:59:59.000Z

226

load | OpenEI  

Open Energy Info (EERE)

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

227

Texas Electricity Update  

E-Print Network [OSTI]

Texas Electricity Update CATEE 2012 Galveston, Texas Brian Lloyd Executive Director Public Utility Commission of Texas October 10, 2012 1 2 Drought Summary May Reserve Margin Report 3 Demand Growth by Region 4 105? Normal... 917 Firm Load Forecast, MW 65,649 68,403 71,692 73,957 75,360 76,483 CATEE 2012 Questions? Brian H. Lloyd Executive Director Public Utility Commission of Texas 512-936-7040 14 ...

Lloyd, B.

2012-01-01T23:59:59.000Z

228

Dehumidification and cooling loads from ventilation air  

SciTech Connect (OSTI)

The importance of controlling humidity in buildings is cause for concern, in part, because of indoor air quality problems associated with excess moisture in air-conditioning systems. But more universally, the need for ventilation air has forced HVAC equipment (originally optimized for high efficiency in removing sensible heat loads) to remove high moisture loads. To assist cooling equipment and meet the challenge of larger ventilation loads, several technologies have succeeded in commercial buildings. Newer technologies such as subcool/reheat and heat pipe reheat show promise. These increase latent capacity of cooling-based systems by reducing their sensible capacity. Also, desiccant wheels have traditionally provided deeper-drying capacity by using thermal energy in place of electrical power to remove the latent load. Regardless of what mix of technologies is best for a particular application, there is a need for a more effective way of thinking about the cooling loads created by ventilation air. It is clear from the literature that all-too-frequently, HVAC systems do not perform well unless the ventilation air loads have been effectively addressed at the original design stage. This article proposes an engineering shorthand, an annual load index for ventilation air. This index will aid in the complex process of improving the ability of HVAC systems to deal efficiently with the amount of fresh air the industry has deemed useful for maintaining comfort in buildings. Examination of typical behavior of weather shows that latent loads usually exceed sensible loads in ventilation air by at least 3:1 and often as much as 8:1. A designer can use the engineering shorthand indexes presented to quickly assess the importance of this fact for a given system design. To size those components after they are selected, the designer can refer to Chapter 24 of the 1997 ASHRAE Handbook--Fundamentals, which includes separate values for peak moisture and peak temperature.

Harriman, L.G. III [Mason-Grant, Portsmouth, NH (United States); Plager, D. [Quantitative Decision Support, Portsmouth, NH (United States); Kosar, D. [Gas Research Inst., Chicago, IL (United States)

1997-11-01T23:59:59.000Z

229

High Efficiency Fans and High Efficiency Electrical Motors  

E-Print Network [OSTI]

Replacing nominal efficient electrical motors with premium efficiency can save on electrical power costs in cotton gins. Connected horsepower load on industrial air fans is approximately 60% of the total horsepower in a typical cotton gin...

Breedlove, C. W.

230

Load flow analysis: Base cases, data, diagrams, and results  

SciTech Connect (OSTI)

This report describes how an electric utility system is modeled by using load flow techniques to establish a validated power flow case suitable for simulating and evaluating alternative system scenarios. Details of the load flow model are supported by additional technical and descriptive information intended to correlate modeled electrical system parameters with the corresponding physical equipment that makes up the system. Pictures and technical specifications of system equipment from the utility, public, or vendor are provided to support this association for many system components. The report summarizes the load flow model construction, simulation, and validation and describes the general capabilities of an information query system designed to access load flow parameters and other electrical system information.

Portante, E.C.; Kavicky, J.A.; VanKuiken, J.C.; Peerenboom, J.P.

1997-10-01T23:59:59.000Z

231

Microgrids: An emerging paradigm for meeting building electricity and heat requirements efficiently and with appropriate energy quality  

E-Print Network [OSTI]

electric load thermal storage solar thermal storage chargingcombustion solar thermal CHP heat storage charging generateof solar thermal collectors, 1100 kWh of electrical storage,

Marnay, Chris; Firestone, Ryan

2007-01-01T23:59:59.000Z

232

High voltage load resistor array  

DOE Patents [OSTI]

A high voltage resistor comprising an array of a plurality of parallel electrically connected resistor elements each containing a resistive solution, attached at each end thereof to an end plate, and about the circumference of each of the end plates, a corona reduction ring. Each of the resistor elements comprises an insulating tube having an electrode inserted into each end thereof and held in position by one or more hose clamps about the outer periphery of the insulating tube. According to a preferred embodiment, the electrode is fabricated from stainless steel and has a mushroom shape at one end, that inserted into the tube, and a flat end for engagement with the end plates that provides connection of the resistor array and with a load.

Lehmann, Monty Ray (Smithfield, VA)

2005-01-18T23:59:59.000Z

233

Scalable Load Distribution and Load Balancing for Dynamic Parallel Programs  

E-Print Network [OSTI]

shown that the algorithm scales according to the definition of scalability given following. LoadScalable Load Distribution and Load Balancing for Dynamic Parallel Programs E. Berger and J. C of an integrated load distribution-load balancing algorithm which was targeted to be both efficient and scalable

Berger, Emery

234

Volumetric Hedging in Electricity Procurement Department of Industrial Engineering  

E-Print Network [OSTI]

Volumetric Hedging in Electricity Procurement Yumi Oum Department of Industrial Engineering electricity service at regulated prices in restructured electricity markets, face price and quantity risk. We in the electricity industry has put high price risk on market partici- pants, particularly on load serving entities

Oren, Shmuel S.

235

Design of advanced fossil-fuel systems (DAFFS): a study of three developing technologies for coal-fired, base-load electric power generation. Integrated coal gasification/combined cycle power plant with Texaco gasification process  

SciTech Connect (OSTI)

The objectives of this report are to present the facility description, plant layouts and additional information which define the conceptual engineering design, and performance and cost estimates for the Texaco Integrated Gasification Combined Cycle (IGCC) power plant. Following the introductory comments, the results of the Texaco IGCC power plant study are summarized in Section 2. In Section 3, a description of plant systems and facilities is provided. Section 4 includes pertinent performance information and assessments of availability, natural resource requirements and environmental impact. Estimates of capital costs, operation and maintenance costs and cost of electricity are presented in Section 5. A Bechtel Group, Inc. assessment and comments on the designs provided by Burns and Roe-Humphreys and Glasgow Synthetic Fuel, Inc. are included in Section 6. The design and cost estimate reports which were prepared by BRHG for those items within their scope of responsibility are included as Appendices A and B, respectively. Appendix C is an equipment list for items within the BGI scope. The design and cost estimate classifications chart referenced in Section 5 is included as Appendix D. 8 references, 17 figures, 15 tables.

Not Available

1983-06-01T23:59:59.000Z

236

Design of advanced fossil-fuel systems (DAFFS): a study of three developing technologies for coal-fired, base-load electric power generation. Integrated coal-gasification/combined power plant with BGC/Lurgi gasification process  

SciTech Connect (OSTI)

The objectives of this report are to present the facility description, plant layouts and additional information which define the conceptual engineering design, and performance and cost estimates for the BGC/Lurgi Integrated Gasification Combined Cycle (IGCC) power plant. Following the introductory comments, the results of the British Gas Corporation (BGC)/Lurgi IGCC power plant study are summarized in Section 2. In Secion 3, a description of plant systems and facilities is provided. Section 4 includes pertinent performance information and assessments of availability, natural resource requirements and environmental impact. Estimates of capital costs, operating and maintenance costs and cost of electricity are presented in Section 5. A Bechtel Group Inc. (BGI) assessment and comments on the designs provided by Burns and Roe-Humphreys and Glasgow Synthetic Fuels, Inc. (BRHG) are included in Section 6. The design and cost estimate reports which were prepared by BRHG for those items within their scope of responsibility are included as Appendices A and B, respectively. Apendix C is an equipment list for items within the BGI scope. The design and cost estimate classifications chart referenced in Section 5 is included as Appendix D. 8 references, 18 figures, 5 tables.

Not Available

1983-06-01T23:59:59.000Z

237

Partially Adaptive Stochastic Optimization for Electric Power ...  

E-Print Network [OSTI]

Electric Power Generation Expansion Planning (GEP) is the problem of ... expansion models can have significant advantages in terms of total expected costs ...... Base Load, Combined Cycle (CC), Combined Turbine (CT), Nuclear, Wind, and.

2015-01-03T23:59:59.000Z

238

Lincoln Electric | Open Energy Information  

Open Energy Info (EERE)

Lincoln Electric Lincoln Electric Facility Lincoln Electric Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Lincoln Electric Developer Lincoln Electric Energy Purchaser Lincoln Electric Location Euclid OH Coordinates 41.58468216°, -81.52579665° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.58468216,"lon":-81.52579665,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

239

HLW Glass Waste Loadings  

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

HLW HLW Glass Waste Loadings Ian L. Pegg Vitreous State Laboratory The Catholic University of America Washington, DC Overview Overview  Vitrification - general background  Joule heated ceramic melter (JHCM) technology  Factors affecting waste loadings  Waste loading requirements and projections  WTP DWPF  DWPF  Yucca Mountain License Application requirements on waste loading  Summary Vitrification  Immobilization of waste by conversion into a glass  Internationally accepted treatment for HLW  Why glass?  Amorphous material - able to incorporate a wide spectrum of elements over wide ranges of composition; resistant to radiation damage  Long-term durability - natural analogs Relatively simple process - amenable to nuclearization at large  Relatively simple process - amenable to nuclearization at large scale  There

240

Buildings Stock Load Control  

E-Print Network [OSTI]

: An assembly of the various blocks of the library of simbad and simulink permit to model building. Finally the last part prensents the study results: Graphs and tables to see the load shedding strategies impacts....

Joutey, H. A.; Vaezi-Nejad, H.; Clemoncon, B.; Rosenstein, F.

2006-01-01T23:59:59.000Z

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


241

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: October 2011 Highlights: October 2011 Mixed temperatures led to flat retail sales of electricity during October 2011. Coal-fired generation decreased or was flat across the United States except for the Central region when compared to October 2010. October's electric system load remained in the mid-to-low section of the annual range in many electric systems across the United States. Key Indicators Oct. 2011 % Change from Oct. 2010 Total Net Generation (Thousand MWh) 309,400 0.5% Residential Retail Price (cents/kWh) 12.12 2.2% Retail Sales (Thousand MWh) 285,156 -0.9% Heating Degree-Days 259 8.8% Natural Gas Price, Henry Hub ($/MMBtu) 3.68 4.0% Coal Stocks (Thousand Tons) 156,880 -10.7% Coal Consumption (Thousand Tons) 69,627 -1.8% Natural Gas Consumption (Mcf) 603,724 1.6%

242

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

October 2011 | Release Date: Dec. 21, October 2011 | Release Date: Dec. 21, 2011 | Next Release Date: Jan. 30, 2012 | Re-Release Date: November 28, 2012 (correction) Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: October 2011 Mixed temperatures led to flat retail sales of electricity during October 2011. Coal-fired generation decreased or was flat across the United States except for the Central region when compared to October 2010. October's electric system load remained in the mid-to-low section of the annual range in many electric systems across the United States. Key Indicators Oct. 2011 % Change from Oct. 2010

243

Electricity Markets  

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

Electricity Markets Electricity Markets Researchers in the electricity markets area conduct technical, economic, and policy analysis of energy topics centered on the U.S. electricity sector. Current research seeks to inform public and private decision-making on public-interest issues related to energy efficiency and demand response, renewable energy, electricity resource and transmission planning, electricity reliability and distributed generation resources. Research is conducted in the following areas: Energy efficiency research focused on portfolio planning and market assessment, design and implementation of a portfolio of energy efficiency programs that achieve various policy objectives, utility sector energy efficiency business models, options for administering energy efficiency

244

Composite Load Model Evaluation  

SciTech Connect (OSTI)

The WECC load modeling task force has dedicated its effort in the past few years to develop a composite load model that can represent behaviors of different end-user components. The modeling structure of the composite load model is recommended by the WECC load modeling task force. GE Energy has implemented this composite load model with a new function CMPLDW in its power system simulation software package, PSLF. For the last several years, Bonneville Power Administration (BPA) has taken the lead and collaborated with GE Energy to develop the new composite load model. Pacific Northwest National Laboratory (PNNL) and BPA joint force and conducted the evaluation of the CMPLDW and test its parameter settings to make sure that: • the model initializes properly, • all the parameter settings are functioning, and • the simulation results are as expected. The PNNL effort focused on testing the CMPLDW in a 4-bus system. An exhaustive testing on each parameter setting has been performed to guarantee each setting works. This report is a summary of the PNNL testing results and conclusions.

Lu, Ning; Qiao, Hong (Amy)

2007-09-30T23:59:59.000Z

245

NREL: Energy Analysis: Electric System Flexibility and Storage  

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

Electric System Flexibility and Storage Electric System Flexibility and Storage Options for Increasing Electric System Flexibility to Accommodate Higher Levels of Variable Renewable Electricity Increased electric system flexibility, needed to enable electricity supply-demand balance with high levels of renewable generation, can come from a portfolio of supply- and demand-side options, including flexible conventional generation, grid storage, curtailment of some renewable generation, new transmission, and more responsive loads. NREL's electric system flexibility studies investigate the role of various electric system flexibility options on large-scale deployment of renewable energy. NREL's electric system flexibility analyses show that: Key factors in improving grid flexibility include (1) increasing the

246

Load Monitoring CEC/LMTF Load Research Program  

SciTech Connect (OSTI)

This white paper addresses the needs, options, current practices of load monitoring. Recommendations on load monitoring applications and future directions are also presented.

Huang, Zhenyu; Lesieutre, B.; Yang, Steve; Ellis, A.; Meklin, A.; Wong, B.; Gaikwad, A.; Brooks, D.; Hammerstrom, Donald J.; Phillips, John; Kosterev, Dmitry; Hoffman, M.; Ciniglio, O.; Hartwell, R.; Pourbeik, P.; Maitra, A.; Lu, Ning

2007-11-30T23:59:59.000Z

247

Impact of PHEV Loads on the Dynamic Performance of Power System  

E-Print Network [OSTI]

additional load to the power systems [5]. According to the Electric Power Research Institute (EPRI), PHEVsImpact of PHEV Loads on the Dynamic Performance of Power System F. R. Islam, H. R. Pota, M. A into the existing grid. This paper analyses the impact of PHEV loads on the dynamic behaviour of a power system

Pota, Himanshu Roy

248

Electrical Engineer  

Broader source: Energy.gov [DOE]

This position is located in the Office of Electric Reliability. The Office of Electric Reliability helps protect and improve the reliability and security of the nation's bulk power system through...

249

Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity in California and the Northwest  

E-Print Network [OSTI]

Wind Power We compare the wind data to electricity loads anddata and estimate the time-varying value of wind power with both financial and load-data, loads in each region are best served by local wind power,

Wiser, Ryan H

2008-01-01T23:59:59.000Z

250

electricity market module region | OpenEI  

Open Energy Info (EERE)

342 342 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281342 Varnish cache server electricity market module region Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO Electricity electricity market module region generation capacity Data application/vnd.ms-excel icon AEO2011: Electricity Generation Capacity by Electricity Market Module Region and Source- Reference Case (xls, 10.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

251

2014-11-25 Issuance: Energy Conservation Standards for Miscellaneous Refrigeration Products; Notice of Open Meeting and Availability of the Preliminary Technical Support Document  

Broader source: Energy.gov [DOE]

This document is a pre-publication Federal Register notice of open meeting and availability of the preliminary technical support document regarding energy conservation standards for miscellaneous refrigeration products, as issued by the Deputy Assistant Secretary for Energy Efficiency on November 25, 2014. Though it is not intended or expected, should any discrepancy occur between the document posted here and the document published in the Federal Register, the Federal Register publication controls. This document is being made available through the Internet solely as a means to facilitate the public's access to this document.

252

Truck loading rack blending  

SciTech Connect (OSTI)

Blending, the combining of two or more components to make a single product, has become widely used in most loading rack applications. Blending should not be confused with additive injection, which is the injection of very small doses of enhancers, detergents and dyes into a product stream. Changes in the environmental protection laws in the early 90`s have put increasing demands on marketing terminals with regards to reformulated fuels and environmental protection concerns. As a result of these new mandates, terminals have turned to blending at the loading rack as an economical and convenient means in meeting these new requirements. This paper will discuss some of these mandates and how loading rack blending is used for different applications. Various types of blending will also be discussed along with considerations for each method.

Boubenider, E. [Daniel Flow Products, Inc., Houston, TX (United States)

1995-12-01T23:59:59.000Z

253

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

Northwest Power Pool Area Northwest Power Pool Area Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 93, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power Northwest Power Pool Area projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Western Electricity Coordinating Council / Northwest Power Pool Area (xls, 259.1 KiB)

254

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

California California Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 92, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released August 10th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO California EIA Electric Power projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Western Electricity Coordinating Council / California- Reference Case (xls, 259.5 KiB)

255

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

Southwest Southwest Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 91, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projections Southwest WECC Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Western Electricity Coordinating Council / Southwest- Reference Case (xls, 259.1 KiB)

256

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

Rockies Rockies Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 94, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projections Rockies Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Western Electricity Coordinating Council / Rockies- Reference Case (xls, 258.8 KiB)

257

The National Energy Modeling System: An Overview 1998 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

ELECTRICITY MARKET MODULE ELECTRICITY MARKET MODULE blueball.gif (205 bytes) Electricity Capacity Planning Submodule blueball.gif (205 bytes) Electricity Fuel Dispatch Submodule blueball.gif (205 bytes) Electricity Finance and Pricing Submodule blueball.gif (205 bytes) Load and Demand-Side Management Submodule blueball.gif (205 bytes) Emissions The electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition,

258

Future Developments of Large Electric Generators  

Science Journals Connector (OSTI)

...Future Developments of Large Electric Generators C. Concordia Several observations can...continual development of large electric generators: 1. The tendency toward always increasing...unbalanced loading. 5. The type of steam generator as it may influence a tendency to use...

1973-01-01T23:59:59.000Z

259

Characterization of Rivastigmine Loaded Chitosan  

E-Print Network [OSTI]

cholinesterase inhibitors (ChEI). In present study rivastigmine loaded chitosan-tripolyphosphate nanoparticles

Simar Preet Kaur; Rekha Rao; Afzal Hussain; Sarita Khatkar

260

Bridge Monitoring and Loading  

E-Print Network [OSTI]

#12;1 Bridge Monitoring and Loading P. Fanning, E. OBrien Stone Arch Bridges - Modelling simulations were conducted for a range of stone arch bridges spanning 5.0m to 32m. Traditional assessment procedures for the determination of both longitudinal and transverse bridge strengths were developed

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


261

Bridge Monitoring and Loading  

E-Print Network [OSTI]

1 Bridge Monitoring and Loading P. Fanning, E. OBrien Stone Arch Bridges - Modelling and Assessment dimensional non- linear finite element simulations of a range of stone arch- bridges spanning 5.0m to 32m and novel assessment proce- dures for the determination of both longitudinal andtrans- verse bridge

262

CHEVROLET S-10 ELECTRIC  

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

January - February 2000 January - February 2000 Date Prepared: 3/24/2000 1997 GM EV1 (PANASONIC PB-A BATTERIES) PERFORMANCE CHARACTERIZATION SUMMARY ELECTRIC TRANSPORTATION DIVISION Urban Range (On Urban Pomona Loop - see other side for map) Payload (lb) 90.3 88.9 (mi.) Range Without Aux. loads With Aux. loads Maximum 447 Minimum 185 72.6 79.7 UR1 UR2 UR3 UR4 Test UR1 UR2 UR3 UR4 Payload (lb.) 185 185 447 447 AC kWh Recharge 26.91 26.61 27.69 22.80 AC kWh/mi. 0.296 0.331 0.311 0.312 Range (mi.) 90.3 79.7 88.9 72.6 Avg. Ambient Temp. 65°F 72°F 70°F 71°F UR1 Urban Range Test, Min Payload, No Auxiliary Loads UR2 Urban Range Test, Min Payload, A/C on High, Headlights on Low, Radio On UR3 Urban Range Test, Max Payload, No Auxiliary Loads UR4 Urban Range Test, Max Payload, A/C on High, Headlights on Low, Radio On State of Charge Meter (UR1)

263

Improved load models for multi-area reliability calculations  

E-Print Network [OSTI]

IMPROVED LOAD MODELS FOR MULTI-AREA RELIABILITY CALCULATIONS A Thesis by SANJESH PATHAK Submitted to the Office of Graduate Studies of Texas ARM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May... 1992 Major Subject: Electrical Engineering IMPROVED LOAD MODELS FOR MULTI-AREA RELIABILITY CALCULATIONS A Thesis by SAN JESH PATHAK Approved as to style and content by: Chanan Singh (Chair of Committee) Prasad Enjeti (Member) Ces . Mal, e...

Pathak, Sanjesh

1992-01-01T23:59:59.000Z

264

EIA - Assumptions to the Annual Energy Outlook 2009 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2009 Electricity Market Module figure 6. Electricity Market Model Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2009, DOE/EIA-M068(2009). Based on fuel prices and electricity demands provided by the other modules

265

recreate load le Rick Whitman  

E-Print Network [OSTI]

is an example of an initial unexpanded fos load le. It loads data for the le: u-init-y.cy0 u data for the le: e-init-y.cy0 2 #12;e-next-y.lod - this is an expanded fos load which uses erecreate load le Rick Whitman November 27, 1996 Usage The tool is invoked by entering recreate load

Sirianni, Marco

266

Electric Vehicles  

ScienceCinema (OSTI)

Burak Ozpineci sees a future where electric vehicles charge while we drive them down the road, thanks in part to research under way at ORNL.

Ozpineci, Burak

2014-07-23T23:59:59.000Z

267

Electric Vehicles  

SciTech Connect (OSTI)

Burak Ozpineci sees a future where electric vehicles charge while we drive them down the road, thanks in part to research under way at ORNL.

Ozpineci, Burak

2014-05-02T23:59:59.000Z

268

Electrical hazards  

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

and certification by ANL prior to use. The Control of Hazardous Energy Sources - LockoutTagout (LOTO) Types of Energy Sources 1. Electricity 2. Gas, steam & pressurized...

269

Caddo Electric Coop, Inc | Open Energy Information  

Open Energy Info (EERE)

Caddo Electric Coop, Inc Caddo Electric Coop, Inc Jump to: navigation, search Name Caddo Electric Coop, Inc Place Oklahoma Utility Id 3390 Utility Location Yes Ownership C NERC Location SPP NERC SPP Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Load Control Single Phase-Rate 71 Commercial Commercial Load Control Three Phase-Rate 61 Commercial Commercial Service Single Phase-Rate 6 Commercial Commercial Service Threee Phase-Rate 6 Commercial Distributed Geeneration Rider-Commercial All Electric Load Control Commercial Distributed Generation Rider- Large Power LP1 Industrial

270

Unit Cost Electricity | OpenEI  

Open Energy Info (EERE)

8 8 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281518 Varnish cache server Unit Cost Electricity Dataset Summary Description Provides annual energy usage for years 1989 through 2010 for UT at Austin; specifically, electricity usage (kWh), natural gas usage (Mcf), associated costs. Also provides water consumption for 2005 through 2010. Source University of Texas (UT) at Austin, Utilities & Energy Management Date Released Unknown Date Updated Unknown Keywords Electricity Consumption Natural Gas Texas Unit Cost Electricity Unit Cost Natural Gas University Water Data application/vnd.ms-excel icon Energy and Water Use Data for UT-Austin (xls, 32.8 KiB) Quality Metrics

271

2003 Pacific Northwest Loads and Resources Study.  

SciTech Connect (OSTI)

The Pacific Northwest Loads and Resources Study (White Book), which is published annually by the Bonneville Power Administration (BPA), establishes one of the planning bases for supplying electricity to customers. The White Book contains projections of regional and Federal system load and resource capabilities, along with relevant definitions and explanations. The White Book also contains information obtained from formalized resource planning reports and data submittals including those from individual utilities, the Northwest Power and Conservation Council (Council), and the Pacific Northwest Utilities Conference Committee (PNUCC). The White Book is not an operational planning guide, nor is it used for determining BPA revenues, although the database that generates the data for the White Book analysis contributes to the development of BPA's inventory and ratemaking processes. Operation of the Federal Columbia River Power System (FCRPS) is based on a set of criteria different from that used for resource planning decisions. Operational planning is dependent upon real-time or near-term knowledge of system conditions that include expectations of river flows and runoff, market opportunities, availability of reservoir storage, energy exchanges, and other factors affecting the dynamics of operating a power system. In this loads and resources study, resource availability is compared to an expected level of total retail electricity consumption. The forecasted annual energy electricity retail load plus contract obligations are subtracted from the sum of the projected annual energy capability of existing resources and contract purchases to determine whether BPA and/or the region will be surplus or deficit. Surplus energy is available when resources are greater than loads. This energy could be marketed to increase revenues. Deficits occur when resources are less than loads. Energy deficits could be met by any combination of the following: better-than-critical water conditions, demand-side management and conservation programs, permanent loss of a load (i.e., due to economic conditions or closures), additional contract purchases, and/or new generating resources. The loads and resources analysis in this study simulates the operation of the power system under the Pacific Northwest Coordination Agreement (PNCA). The PNCA defines the planning and operation of seventeen U.S. Pacific Northwest utilities and other parties with generating facilities within the region's hydroelectric (hydro) system. The hydroregulation study used for the 2003 White Book incorporates measures from the National Oceanographic and Atmospheric Administration Fisheries (NOAA Fisheries) Biological Opinion dated December 2000, and the U.S. Fish and Wildlife Service's 2000 Biological Opinion (2000 FCRPS BiOps) for the Snake River and Columbia River projects. These measures include: (1) Increased flow augmentation for juvenile fish migrations in the Snake and Columbia rivers in the spring and summer; (2) Mandatory spill requirements at the Lower Snake and Columbia dams to provide for non-turbine passage routes for juvenile fish migrants; and (3) Additional flows for Kootenai River white sturgeon in the spring. The hydroregulation criteria for this analysis includes: an updated Detailed Operation Plan for Treaty reservoirs for Operating Year (OY) 2004, updated PNCA planning criteria for OY 2003, and revised juvenile fish bypass spill levels for 2000 FCRPS BiOps implementation. The 2003 White Book is presented in two documents: (1) this summary document of Federal system and PNW region loads and resources, and (2) a technical appendix which presents regional loads, grouped by major PNW utility categories, and detailed contract and resource information. The technical appendix is available only in electronic form. Individual customer information regarding marketer contracts is not detailed due to confidentiality agreements. The 2003 White Book analysis updates the December 2002 White Book. This analysis projects the yearly average energy consumption and resource availability

United States. Bonneville Power Administration.

2003-12-01T23:59:59.000Z

272

Ch 16 Electric Charge &Ch 16. Electric Charge & Electric Field  

E-Print Network [OSTI]

Ch 16 Electric Charge &Ch 16. Electric Charge & Electric Field Liu UCD Phy1B 2012 #12;I Basic ConceptsI. Basic Concepts Static electricity: charges at rest Electric charge Like charges repel Unlike charges attract Liu UCD Phy1B 2012 #12;Electric ChargeElectric Charge Electron charge: -eElectron charge

Yoo, S. J. Ben

273

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

December 2011 | Release Date: Feb. 29, December 2011 | Release Date: Feb. 29, 2012 | Next Release Date: Mar. 30, 2012 | Re-Release Date: November 28, 2012 (correction) Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: December 2011 Warm temperatures across the Eastern half of the continental U.S. led to lower retail sales of electricity during December 2011. Coal-fired generation decreased in every region of the United States when compared to December 2010. Electric system load ranged in the mid-to-low section of the annual range across all wholesale regions except the Bonneville Power Administration in the Northwest in December 2011.

274

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: December 2011 Highlights: December 2011 Warm temperatures across the Eastern half of the continental U.S. led to lower retail sales of electricity during December 2011. Coal-fired generation decreased in every region of the United States when compared to December 2010. Electric system load ranged in the mid-to-low section of the annual range across all wholesale regions except the Bonneville Power Administration in the Northwest in December 2011. Key Indicators Dec. 2011 % Change from Dec. 2010 Total Net Generation (Thousand MWh) 336,419 -7.1% Residential Retail Price (cents/kWh) 11.52 4.2% Retail Sales (Thousand MWh) 299,421 -6.1% Heating Degree-Days 713 -20.6% Natural Gas Price, Henry Hub ($/MMBtu) 3.24 -25.7% Coal Stocks (Thousand Tons) 175,100 -0.1% Coal Consumption

275

ELEG620: Solar Electric Systems University of Delaware Spring 2008 1 University of Delaware  

E-Print Network [OSTI]

obtained as an approximation to your design load, using 200Ws of solar panels. Existing loads which we haveELEG620: Solar Electric Systems University of Delaware Spring 2008 1 University of Delaware Department of Electrical and Computer Engineering ELEG620: Solar Electric Systems Photovoltaic System Design

Honsberg, Christiana

276

Definition: Interruptible Load Or Interruptible Demand | Open Energy  

Open Energy Info (EERE)

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

277

Loads Providing Ancillary Services: Review of International Experience |  

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

Loads Providing Ancillary Services: Review of International Loads Providing Ancillary Services: Review of International Experience Loads Providing Ancillary Services: Review of International Experience In this study, we examine the arrangements for and experiences of end-use loads providing ancillary services (AS) in five electricity markets: Australia, the United Kingdom (UK), the Nordic market, and the ERCOT and PJM markets in the United States. Our objective in undertaking this review of international experience was to identify specific approaches or market designs that have enabled customer loads to effectively deliver various ancillary services (AS) products. We hope that this report will contribute to the ongoing discussion in the U.S. and elsewhere regarding what institutional and technical developments are needed to ensure that

278

Loads Providing Ancillary Services: Review of International Experience |  

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

Loads Providing Ancillary Services: Review of International Loads Providing Ancillary Services: Review of International Experience Loads Providing Ancillary Services: Review of International Experience In this study, we examine the arrangements for and experiences of end-use loads providing ancillary services (AS) in five electricity markets: Australia, the United Kingdom (UK), the Nordic market, and the ERCOT and PJM markets in the United States. Our objective in undertaking this review of international experience was to identify specific approaches or market designs that have enabled customer loads to effectively deliver various ancillary services (AS) products. We hope that this report will contribute to the ongoing discussion in the U.S. and elsewhere regarding what institutional and technical developments are needed to ensure that

279

Grid Friendly Appliances – Load-side Solution for Congestion Management  

SciTech Connect (OSTI)

This paper discusses the effectiveness of deploying grid-friendly{trademark} appliances (GFAs) as a load-side solution for congestion management in a competitive electricity market, with the residential house ventilation and air conditioning (HVAC) load used as an example. A GFA is an appliance that can have a sensor and a controller installed to detect price, voltage, or frequency signals and turn on/off according to certain control logic. By using the congestion price as a signal to shift GFA power consumption from high-price periods to low-price periods to reduce load in load pocket areas, transmission line congestion can be successfully mitigated. The magnitude of GFA load reduction and the location of the GFA resources are critical to relieve congestion on targeted lines while not causing other lines to congest. Simulation results are presented and the impact of implementing price-responsive GFAs on the power grid is also studied.

Lu, Ning; Nguyen, Tony B.

2006-05-21T23:59:59.000Z

280

Electric machine  

DOE Patents [OSTI]

An interior permanent magnet electric machine is disclosed. The interior permanent magnet electric machine comprises a rotor comprising a plurality of radially placed magnets each having a proximal end and a distal end, wherein each magnet comprises a plurality of magnetic segments and at least one magnetic segment towards the distal end comprises a high resistivity magnetic material.

El-Refaie, Ayman Mohamed Fawzi (Niskayuna, NY); Reddy, Patel Bhageerath (Madison, WI)

2012-07-17T23:59:59.000Z

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


281

Cost estimate of electricity produced by TPV  

Science Journals Connector (OSTI)

A crucial parameter for the market penetration of TPV is its electricity production cost. In this work a detailed cost estimate is performed for a Si photocell based TPV system, which was developed for electrically self-powered operation of a domestic heating system. The results are compared to a rough estimate of cost of electricity for a projected GaSb based system. For the calculation of the price of electricity, a lifetime of 20 years, an interest rate of 4.25% per year and maintenance costs of 1% of the investment are presumed. To determine the production cost of TPV systems with a power of 12–20 kW, the costs of the TPV components and 100 EUR kW?1el,peak for assembly and miscellaneous were estimated. Alternatively, the system cost for the GaSb system was derived from the cost of the photocells and from the assumption that they account for 35% of the total system cost. The calculation was done for four different TPV scenarios which include a Si based prototype system with existing technology (?sys = 1.0%), leading to 3000 EUR kW?1el,peak, an optimized Si based system using conventional, available technology (?sys = 1.5%), leading to 900 EUR kW?1el,peak, a further improved system with future technology (?sys = 5%), leading to 340 EUR kW?1el,peak and a GaSb based system (?sys = 12.3% with recuperator), leading to 1900 EUR kW?1el,peak. Thus, prices of electricity from 6 to 25 EURcents kWh?1el (including gas of about 3.5 EURcents kWh?1) were calculated and compared with those of fuel cells (31 EURcents kWh?1) and gas engines (23 EURcents kWh?1).

Günther Palfinger; Bernd Bitnar; Wilhelm Durisch; Jean-Claude Mayor; Detlev Grützmacher; Jens Gobrecht

2003-01-01T23:59:59.000Z

282

1996 Pacific Northwest Loads and Resources Study.  

SciTech Connect (OSTI)

The Pacific Northwest Loads and Resources Study (White Book) is published annually by BPA and establishes the planning basis for supplying electricity to customers. It serves a dual purpose. First, the White Book presents projections of regional and Federal system load and resource capabilities, along with relevant definitions and explanations. Second, the White Book serves as a benchmark for annual BPA determinations made pursuant to the 1981 regional power sales contracts. Specifically, BPA uses the information in the White Book for determining the notice required when customers request to increase or decrease the amount of power purchased from BPA. Aside from these purposes, the White Book is used for input to BPA`s resource planning process. The White Book compiles information obtained from several formalized resource planning reports and data submittals, including those from the Northwest Power Planning Council (Council) and the Pacific Northwest Utilities Conference Committee (PNUCC). 11 figs., 12 tabs.

United States. Bonneville Power Administration.

1996-12-01T23:59:59.000Z

283

NREL Reduces Climate Control Loads in Electric Vehicles (Fact...  

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

demonstrates that zonal climate control can reduce air conditioning power and improve range while maintaining driver thermal sensation. When the climate control system in an...

284

NREL Reduces Climate Control Loads in Electric Vehicles (Fact Sheet)  

SciTech Connect (OSTI)

NREL demonstrates that zonal climate control can reduce air conditioning power and improve range while maintaining driver thermal sensation.

Not Available

2014-08-01T23:59:59.000Z

285

ELECTRICAL LOAD MANAGEMENT FOR THE CALIFORNIA WATER SYSTEM  

E-Print Network [OSTI]

DWR Bulletin 194. Hydroelectric Energy Potential inmore than 6 bil- of hydroelectric poweL of view of energyfrom peak demand Daytime hydroelectric Two wate:r age) would

Krieg, B.

2010-01-01T23:59:59.000Z

286

ELECTRICAL LOAD MANAGEMENT FOR THE CALIFORNIA WATER SYSTEM  

E-Print Network [OSTI]

sections of aqueducts. Hydroelectric power generated withinthe CVP generates only hydroelectric power, its By importing

Krieg, B.

2010-01-01T23:59:59.000Z

287

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

E-Print Network [OSTI]

Evolutionary Tuning of Building Models to Monthly Electrical Consumption Aaron Garrett, PhD Joshua load and electrical data from a highly-instrumented and automated ZEBRAlliance research home consume 40% of the US primary energy (73% of the electrical energy). By 2030, it is estimated that 60

Wang, Xiaorui "Ray"

288

Nanocomposite electrical generator based on piezoelectric zinc oxide nanowires  

E-Print Network [OSTI]

Nanocomposite electrical generator based on piezoelectric zinc oxide nanowires K. Momeni, G. M October 2010; published online 1 December 2010 A nanocomposite electrical generator composed of an array system and loading configuration can generate up to 160% more electric potential than the values reported

Endres. William J.

289

Development of electric machine duty cycles for parallel hybrid electric Beijing city bus based on Markov chain  

Science Journals Connector (OSTI)

The paper represents an integrated and detailed procedure of developing representative duty cycles for evaluating the electric machine installed on parallel hybrid electric buses. First, real world bus route speed data were collected from the all-electric bus running on the No. 121 route in Beijing. Optimal load cycles of the electric machine are obtained from dynamic programming algorithm. Then, Markov chain and subsequent statistical analysis are used to construct representative load cycles for the electric components from the extracted information from the optimal cycles. Finally, the representative duty cycles were constructed for the motor performance and reliability testing procedures.

Wen Li; Tae-Kyung Lee; Zoran S. Filipi; Xiangfeng Meng; Cheng-Ning Zhang

2012-01-01T23:59:59.000Z

290

load profile | OpenEI Community  

Open Energy Info (EERE)

data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

291

Analyzing the Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest  

E-Print Network [OSTI]

and Load Data ..20 2.7.1 Northwest Powerthe TrueWind wind power data and electricity load and pricepower markets and loads. In some cases, the TrueWind and anemometer data

Fripp, Matthias; Wiser, Ryan

2006-01-01T23:59:59.000Z

292

[Tampa Electric Company IGCC project]. Final public design report; Technical progress report  

SciTech Connect (OSTI)

This final Public Design Report (PDR) provides completed design information about Tampa Electric Company`s Polk Power Station Unit No. 1, which will demonstrate in a commercial 250 MW unit the operating parameters and benefits of the integration of oxygen-blown, entrained-flow coal gasification with advanced combined cycle technology. Pending development of technically and commercially viable sorbent for the Hot Gas Cleanup System, the HGCU also is demonstrated. The report is organized under the following sections: design basis description; plant descriptions; plant systems; project costs and schedule; heat and material balances; general arrangement drawings; equipment list; and miscellaneous drawings.

NONE

1996-07-01T23:59:59.000Z

293

Tidal Electric | Open Energy Information  

Open Energy Info (EERE)

Electric Electric Jump to: navigation, search Name Tidal Electric Place London, Greater London, United Kingdom Zip SW19 8UY Product Developed a technology named 'tidal lagoons' to build tidal electric projects. Coordinates 51.506325°, -0.127144° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":51.506325,"lon":-0.127144,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

294

Electric Power | OpenEI  

Open Energy Info (EERE)

Power Power Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 95, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projections United States Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - United States- Reference Case (xls, 260.9 KiB) Quality Metrics

295

OpenEI - Electric Power  

Open Energy Info (EERE)

AEO2011: Electric Power AEO2011: Electric Power Projections for EMM Region - United States http://en.openei.org/datasets/node/858 This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 95, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. License

Type of License: 

296

Electric Power Annual 2011  

Gasoline and Diesel Fuel Update (EIA)

2. Noncoincident peak load, by North American Electric Reliability Corporation Assessment Area, 2. Noncoincident peak load, by North American Electric Reliability Corporation Assessment Area, 1990-2011 actual, 2012-2016 projected megawatts Interconnection NERC Regional Assesment Area 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012E 2013E 2014E 2015E 2016E FRCC 27,266 28,818 30,601 32,823 32,904 34,524 35,444 35,375 38,730 37,493 37,194 39,062 40,696 40,475 42,383 46,396 45,751 46,676 44,836 46,550 45,722 44,968 45,613 46,270 46,857 47,758 48,594 NPCC 44,116 46,594 43,658 46,706 47,581 47,705 45,094 49,269 49,566 52,855 50,057 55,949 56,012 55,018 52,549 58,960 63,241

297

Electric Power Annual 2011  

Gasoline and Diesel Fuel Update (EIA)

Table 1. Net Energy for load, actual and projected by North American Electric Reliability Corporation Assessment Area, Table 1. Net Energy for load, actual and projected by North American Electric Reliability Corporation Assessment Area, 1990-2011 actual, 2012-2016 projected thousands of megawatthours Interconnection NERC Regional Assesment Area 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012E 2013E 2014E 2015E 2016E FRCC 142,502 146,903 147,464 153,468 159,861 169,021 173,377 175,557 188,384 188,598 196,561 200,134 211,116 219,021 220,335 226,544 230,115 232,405 226,874 225,966 233,034 224,064 224,337 227,095 230,481 235,490 239,191

298

Variable loading roller  

DOE Patents [OSTI]

An automatic loading roller for transmitting torque in traction drive devices in manipulator arm joints includes a two-part camming device having a first cam portion rotatable in place on a shaft by an input torque and a second cam portion coaxially rotatable and translatable having a rotating drive surface thereon for engaging the driven surface of an output roller with a resultant force proportional to the torque transmitted. Complementary helical grooves in the respective cam portions interconnected through ball bearings interacting with those grooves effect the rotation and translation of the second cam portion in response to rotation of the first. 14 figs.

Williams, D.M.

1988-01-21T23:59:59.000Z

299

Engineering Electrical &  

E-Print Network [OSTI]

Computer Engineering Electrical & Electronic Engineering Mechatronics Engineering Mechanical Engineering Civil Engineering Natural Resources Engineering Forest Engineering Chemical & Process Engineering ELECTIVE 2 Required Engineering Intermediate Year 2012 Eight Required Courses Chart: 120 points College

Hickman, Mark

300

Engineering Electrical &  

E-Print Network [OSTI]

Computer Engineering Electrical & Electronic Engineering Mechatronics Engineering Mechanical Engineering Civil Engineering Natural Resources Engineering Forest Engineering Chemical & Process Engineering ELECTIVE 2 Required Engineering Intermediate Year 2011 Eight Required Courses Chart: 120 points College

Hickman, Mark

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


301

Load Pocket Forecasting Software E. A. Feinberg, D. Genethliou, J.T. Hajagos, B.G. Irrgang, and R. J. Rossin  

E-Print Network [OSTI]

pockets and to modify the existing ones. Index Terms--Load forecasting, power system planning I and load data, estimates weather-normalized electric loads, computes design- day parameters, computes data, extrapolating past load growth patterns into the future. The most common trending method

Feinberg, Eugene A.

302

Load Management - An Industrial Perspective on This Developing Technology  

E-Print Network [OSTI]

Load Management is a rapidly developing technology which can have a significant impact on all electric users, especially large users. It is mandated by P.U.R.P.A. (Public Utility Regulatory Policy Act) and is akin to energy conservation but its...

Delgado, R. M.

1983-01-01T23:59:59.000Z

303

Load Balancing in Wireless Sensor Networks using Kirchhoff's Voltage Law  

E-Print Network [OSTI]

Load Balancing in Wireless Sensor Networks using Kirchhoff's Voltage Law Stavros Toumpis Electrical balancing in wireless networks with a single class of traffic, focusing our attention on an important example, i.e., Wireless Sensor Networks. The analysis is based on the Wireless Minimum Cost Problem

Toumpis, Stavros

304

Energy Efficient Geographical Load Balancing via Dynamic Deferral of Workload  

E-Print Network [OSTI]

Energy Efficient Geographical Load Balancing via Dynamic Deferral of Workload Muhammad Abdullah to enhancements of the electrical grid raise the possibility of utilizing "cloud computing" for energy efficient computing. Energy efficiency in the cloud has been explored recently in [1], [2], [3], [4], [5]. While

Gupta, Rajesh

305

Improving the Performance of the Truncated Fourier Series Least Squares (TFSLS)Power System Load Model Using an Artificial Neural Network Paradigm  

Science Journals Connector (OSTI)

Power System Load models have a wide range of application in the electric power industry including applications involving: (i) load management policy monitoring; (ii) assisting with ... A method that has been uti...

Shonique L. Miller; Gary L. Lebby…

2010-01-01T23:59:59.000Z

306

Superconductivity for electric power systems: Program overview  

SciTech Connect (OSTI)

Largely due to government and private industry partnerships, electric power applications based upon high-temperature superconductivity are now being designed and tested only seven years after the discovery of the high-temperature superconductors. These applications offer many benefits to the national electric system including: increased energy efficiency, reduced equipment size, reduced emissions, increased stability/reliability, deferred expansion, and flexible electricity dispatch/load management. All of these benefits have a common outcome: lower electricity costs and improved environmental quality. The U.S. Department of Energy (DOE) sponsors research and development through its Superconductivity Program for Electric Power Systems. This program will help develop the technology needed for U.S. industries to commercialize high-temperature superconductive electric power applications. DOE envisions that by 2010 the U.S. electric power systems equipment industry will regain a major share of the global market by offering superconducting products that outperform the competition.

Not Available

1995-02-01T23:59:59.000Z

307

Residential load management: A small town`s experience  

SciTech Connect (OSTI)

This paper describes an integrated residential load management program controlling air conditioning, electric heating, and water heating. The location is Lockhart, Texas, a small city in the central part of the state. A cooperative effort of City management and the wholesale power supplier (the Lower Colorado River Authority (LCRA)) produced a cost-effective, verifiable load management program which benefits the participants, the City, and LCRA. Included are descriptions of the successes and failures in marketing the program to potential participants, discussion of the switch installation and inspection process, and accounts of customer reactions when load management actually began to affect their appliances. The report includes information about customer acceptance and drop-out rates, rebate incentives, and local electrical contractor alliances. And, this report outlines the monitoring system and gives the results of the metering at both the end-use and feeder.

Lewis, C.; Riordon, K.

1995-12-31T23:59:59.000Z

308

Who`s in control? Recent (and future) trends in load management  

SciTech Connect (OSTI)

This paper summarizes recent utility experience in load management programs and technologies. In addition to summarizing program and technology information, it offers alternative potential futures for load management in a less-regulated electricity industry. The paper is based on a 1994 study for Hydro-Quebec of 23 leading load management programs around the U.S., focused on direct load control, electric thermal storage, standby generation, commercial load management cooperatives, and experimental interactive load management technologies. Load management programs are among the most popular DSM offerings. According to EPRI`s 1992 load management survey, load management programs (comprising direct load control, thermal storage, and standby generation programs) accounted for 670 of the 2321 programs reported, more than any other program type. Also, 6.4 million customers participated in load management programs, more than took part in all energy efficiency rebate programs combined. Thus while the proliferation of energy efficiency programs has been the most visible trend in DSM since the late 1980s, load management remains the dominant program type.

Prindle, W.R.; Birnbaum, I.L.; Rosenstock, S.J.; King, M.B.

1995-12-31T23:59:59.000Z

309

Community Energy: Analysis of Hydrogen Distributed Energy Systems with Photovoltaics for Load Leveling and Vehicle Refueling  

SciTech Connect (OSTI)

Energy storage could complement PV electricity generation at the community level. Because PV generation is intermittent, strategies must be implemented to integrate it into the electricity system. Hydrogen and fuel cell technologies offer possible PV integration strategies, including the community-level approaches analyzed in this report: (1) using hydrogen production, storage, and reconversion to electricity to level PV generation and grid loads (reconversion scenario); (2) using hydrogen production and storage to capture peak PV generation and refuel hydrogen fuel cell electric vehicles (FCEVs) (hydrogen fueling scenario); and (3) a comparison scenario using a battery system to store electricity for EV nighttime charging (electric charging scenario).

Steward, D.; Zuboy, J.

2014-10-01T23:59:59.000Z

310

Design Concepts for Power Distribution Equipment Serving Non-Linear Loads  

E-Print Network [OSTI]

This paper explores the effects of power system harmonics induced by non-sinusoidal loads on electrical distribution equipment. The first portion examines the harmonic phenomenon to more fully understand harmonic current behavior from an intuitive...

Massey, G. W.

311

Load Schedule Coordination for a Large Linear Accelerator: An Operation Powerplay Concept  

E-Print Network [OSTI]

Operation Powerplay is a viable electric load management program developed and tested with Department of Energy funding and support. It is a concept designed to provide financial benefits to a utility and one or more of its customers through...

Johnson, W. H.

1984-01-01T23:59:59.000Z

312

MTS Table Top Load frame  

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

MTS Table Top Load frame MTS Table Top Load frame The Non-destructive Evaluation group operates an MTS Table Top Load frame for ultimate strength and life cycle testing of various ceramic, ceramic-matrix (FGI), carbon, carbon fiber, cermet (CMC) and metal alloy engineering samples. The load frame is a servo-hydraulic type designed to function in a closed loop configuration under computer control. The system can perform non-cyclic, tension, compression and flexure testing and cyclic fatigue tests. The system is comprised of two parts: * The Load Frame and * The Control System. Load Frame The Load Frame (figure 1) is a cross-head assembly which includes a single moving grip, a stationary grip and LVDT position sensor. It can generate up to 25 kN (5.5 kip) of force in the sample under test and can

313

A free-piston Stirling engine/linear alternator controls and load interaction test facility  

SciTech Connect (OSTI)

A test facility at LeRC was assembled for evaluating free-piston Stirling engine/linear alternator control options, and interaction with various electrical loads. This facility is based on a 'SPIKE' engine/alternator. The engine/alternator, a multi-purpose load system, a digital computer based load and facility control, and a data acquisition system with both steady-periodic and transient capability are described. Preliminary steady-periodic results are included for several operating modes of a digital AC parasitic load control. Preliminary results on the transient response to switching a resistive AC user load are discussed.

Rauch, J.S.; Kankam, M.D.; Santiago, W.; Madi, F.J.

1992-08-01T23:59:59.000Z

314

Assumptions to the Annual Energy Outlook 2002 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2002, DOE/EIA- M068(2002) January 2002. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are

315

Assumptions to the Annual Energy Outlook 2001 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2001, DOE/EIA- M068(2001) January 2001. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are

316

Benefits and costs of load management: a technical assistance and resource material handbook  

SciTech Connect (OSTI)

This handbook will assist state regulatory authorities and electric utilities in complying with the Load Management Standard of the Public Utility Regulatory Policies Act of 1978. The handbook has two major sections. The first discusses load-management techniques in terms of equipment, customer applications, combinations of techniques, etc. Key steps for evaluating the costs and benefits of load management options also are presented. These steps are intended to sequentially eliminate ineffective load-management options as the cost-benefit calculation becomes more detailed. The second section includes up-to-date information on available load-management technologies, models for utility costing, load-management data transfer, prescreening of load-management options, and the load-management literature.

None

1980-06-01T23:59:59.000Z

317

Electricity 2011  

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

Electricity > Soliciting comments on EIA-111 Electricity > Soliciting comments on EIA-111 EIA announces the proposal of Form EIA-111, Quarterly Electricity Imports and Exports Report Released: August 15, 2011 Background On August 11, 2011, a Federal Register Notice was published soliciting comments for the new EIA-111 survey form. The EIA-111, Quarterly Electricity Imports and Exports Report will replace the OE-781R, Monthly Electricity Imports and Exports Report. The OE-781R has been suspended and will be terminated upon the approval of the EIA-111. The OE-781R administered from July 2010 through May 2011, proved complex and confusing for the repondents. As a result, the EIA-111 was developed to more effectively and efficiently collect more accurate and meaningful data. The Paperwork Reduction Act (PRA) of 1995 requires that each Federal agency obtains approval from the Office of Management and Budget (OMB) before undertaking to collect information from ten or more persons, or continuing a collection for which the OMB approval and the OMB control number are about to expire. The approval process, which is popularly known as the "OMB clearance process," is extensive. It requires two Federal Register notices and a detailed application ("supporting statement") to OMB. The first Federal Register Notice was published on August 11, 2011. EIA is prepared to address the comments submitted by each individual.

318

Measured Peak Equipment Loads in Laboratories  

E-Print Network [OSTI]

of measured equipment load data for laboratories, designersmeasured peak equipment load data from 39 laboratory spacesmeasured equipment load data from various laboratory spaces

Mathew, Paul A.

2008-01-01T23:59:59.000Z

319

Puget Sound area electric reliability plan  

SciTech Connect (OSTI)

Various conservation, load management, and fuel switching programs were considered as ways to reduce or shift system peak load. These programs operate at the end-use level, such as residential water heat. Figure D-1a shows what electricity consumption for water heat looks like on normal and extreme peak days. Load management programs, such as water heat control, are designed to reduce electricity consumption at the time of system peak. On the coldest day in average winter, system load peaks near 8:00 a.m. In a winter with extremely cold weather, electricity consumption increases fr all hours, and the system peak shifts to later in the morning. System load shapes in the Puget Sound area are shown in Figure D-1b for a normal winter peak day (February 2, 1988) and extreme peak day (February 3, 1989). Peak savings from any program are calculated to be the reduction in loads on the entire system at the hour of system peak. Peak savings for all programs are measured at 8:00 a.m. on a normal peak day and 9:00 a.m. on an extreme peak day. On extremely cold day, some water heat load shifts to much later in the morning, with less load available for shedding at the time of system peak. Models of hourly end-use consumption were constructed to simulate the impact of conservation, land management, and fuel switching programs on electricity consumption. Javelin, a time-series simulating package for personal computers, was chosen for the hourly analysis. Both a base case and a program case were simulated. 15 figs., 7 tabs.

Not Available

1991-09-01T23:59:59.000Z

320

Assumptions to the Annual Energy Outlook 2000 - Electricity Market Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. The major assumptions are summarized below.

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


321

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

E-Print Network [OSTI]

@caltech.edu Steven H. Low California Inst. of Tech. slow@caltech.edu ABSTRACT Real-time demand response is potential loads, including electric vehicles and smart appliances, will participate in demand response smart grid, deferrable load control, demand response 1. INTRODUCTION Real-time demand response seeks

Low, Steven H.

322

University of Strathclyde Dpt of Electric Electrical Engineering Institute  

Open Energy Info (EERE)

Strathclyde Dpt of Electric Electrical Engineering Institute Strathclyde Dpt of Electric Electrical Engineering Institute for Energy and Enviro Jump to: navigation, search Name University of Strathclyde, Dpt of Electric & Electrical Engineering, Institute for Energy and Enviro Place Glasgow, United Kingdom Zip G1 1XW Sector Hydro, Hydrogen Product Univ of Strathclyde is working on several research projects for fuel cell technology and hydrogen production. Coordinates 55.857809°, -4.242511° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":55.857809,"lon":-4.242511,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

323

ELECTRIC RAILWAYS  

Science Journals Connector (OSTI)

...candidate. It is safe to say that the...education in the fundamental facts and methods...Steam-engine, boilers and dynamos...road in successful operation upon or-dinary...been in successful operation for several years...now in successful operation electric rail-ways...

W. D. Marks

1886-04-09T23:59:59.000Z

324

Electric Propulsion  

Science Journals Connector (OSTI)

...is clear. The long-t?me continuous operation is required for electric propulsion pri-marily...travel against a small voltage to the cold element. The cell thereby produces an...concentrate and focus the solar rays on a heater. Little, if any, decrease in specific...

W. E. Moeckel

1963-10-11T23:59:59.000Z

325

Electricity costs  

Science Journals Connector (OSTI)

... index is used to correct for inflation. The short answer is given by the Central Electricity Generating Board's (CEGB's) 1980-81 report, paragraph 168. "The ... Generating Board's (CEGB's) 1980-81 report, paragraph 168. "The cost per kWh of fuel. . . rose by 18.6 per cent (between 1979 ...

J.W. JEFFERY

1982-03-18T23:59:59.000Z

326

electrical, engineering  

E-Print Network [OSTI]

in groundbreaking community solar project PMC-based technology products enter the market Expanding our capacity: new learning educational gaming energy-efficient data storage and computing health informatics haptic education K-12 STEM electrical energy storage thermal energy storage and conversion energy production

Zhang, Junshan

327

Demand Response: Load Management Programs  

E-Print Network [OSTI]

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

Simon, J.

2012-01-01T23:59:59.000Z

328

Dynamic load balancing of applications  

DOE Patents [OSTI]

An application-level method for dynamically maintaining global load balance on a parallel computer, particularly on massively parallel MIMD computers. Global load balancing is achieved by overlapping neighborhoods of processors, where each neighborhood performs local load balancing. The method supports a large class of finite element and finite difference based applications and provides an automatic element management system to which applications are easily integrated.

Wheat, Stephen R. (Albuquerque, NM)

1997-01-01T23:59:59.000Z

329

Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity  

E-Print Network [OSTI]

Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market, GA, 30332-0205 USA March 3, 2005 Abstract This paper addresses quantity risk in the electricity of a load serving entity, which provides electricity service at a regulated price in electricity markets

330

FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH  

E-Print Network [OSTI]

at PSE is to collect load data for validating dynamic and approach decomposes recorded load data into different load “to continuously record load data for a selected time period

Lesieutre, Bernard

2013-01-01T23:59:59.000Z

331

High-Power Rf Load  

DOE Patents [OSTI]

A compact high-power RF load comprises a series of very low Q resonators, or chokes [16], in a circular waveguide [10]. The sequence of chokes absorb the RF power gradually in a short distance while keeping the bandwidth relatively wide. A polarizer [12] at the input end of the load is provided to convert incoming TE.sub.10 mode signals to circularly polarized TE.sub.11 mode signals. Because the load operates in the circularly polarized mode, the energy is uniformly and efficiently absorbed and the load is more compact than a rectangular load. Using these techniques, a load having a bandwidth of 500 MHz can be produced with an average power dissipation level of 1.5 kW at X-band, and a peak power dissipation of 100 MW. The load can be made from common lossy materials, such as stainless steel, and is less than 15 cm in length. These techniques can also produce loads for use as an alternative to ordinary waveguide loads in small and medium RF accelerators, in radar systems, and in other microwave applications. The design is easily scalable to other RF frequencies and adaptable to the use of other lossy materials.

Tantawi, Sami G. (San Mateo, CA); Vlieks, Arnold E. (Livermore, CA)

1998-09-01T23:59:59.000Z

332

San Isabel Electric Association - Residential Energy Efficiency Rebate  

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

San Isabel Electric Association - Residential Energy Efficiency San Isabel Electric Association - Residential Energy Efficiency Rebate Program San Isabel Electric Association - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Water Heating Program Info State Colorado Program Type Utility Rebate Program Rebate Amount Marathon Water Heaters: $175 Marathon Water Heaters w/ SIEA Load Control Program: $425 Electric Water Heater (minimum 30 gallon): $100 Washers: $80 Dryer w/ Moisture Sensor: $50 Dishwashers: $60 Refrigerators: $90 Freezers: $90 ETS Room Units: $72 - $180 ETS Furnaces: $432 - $768 Provider San Isabel Electric Association San Isabel Electric Association (SIEA) provides incentives for its residential customers to install energy efficient equipment. Rebates are

333

Braess' Paradox in a simple electric power system  

E-Print Network [OSTI]

and pricing in the restructured electricity industry. Using a small-scale test network and assuming DC load lines in the system are upgraded. In these systems, locational prices (as currently used

Blumsack, Seth

334

CVD facility electrical system captor/dapper study  

SciTech Connect (OSTI)

Project W-441, CVD Facility Electrical System CAPTOWDAPPER Study validates Meier's hand calculations. This study includes Load flow, short circuit, voltage drop, protective device coordination, and transient motor starting (TMS) analyses.

SINGH, G.

1999-10-28T23:59:59.000Z

335

Berkeley Electric Cooperative - Energy Efficiency Rebate Program |  

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

Berkeley Electric Cooperative - Energy Efficiency Rebate Program Berkeley Electric Cooperative - Energy Efficiency Rebate Program Berkeley Electric Cooperative - Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Water Heating Maximum Rebate Geothermal Heat Pump: $1,250 Program Info State South Carolina Program Type Utility Rebate Program Rebate Amount Geothermal Heat Pump: $250/ton Dual Fuel System: $500/home Water Heater: $200 - $300 Provider Berkeley Electric Cooperative Berkeley Electric Cooperative (BEC) offers several rebates to residential customers for energy efficiency upgrades. The H2O Advantage Water Heater Rebate Program offers a rebate of up to $300 for energy efficient electric water heaters with a load management switch. BEC must inspect the water

336

Wiregrass Electric Cooperative - Touchstone Energy Home Program |  

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

Wiregrass Electric Cooperative - Touchstone Energy Home Program Wiregrass Electric Cooperative - Touchstone Energy Home Program Wiregrass Electric Cooperative - Touchstone Energy Home Program < Back Eligibility Residential Savings Category Appliances & Electronics Water Heating Program Info State Alabama Program Type Utility Rebate Program Rebate Amount Free Water Heater Provider Wiregrass Electric Cooperative, Inc. Wiregrass Electric Cooperative is a consumer-owned electric utility serving over 20,000 consumers in the "Wiregrass" area of southeast Alabama. Through the H2O plus program, qualified Wiregrass customers are eligible to receive a free high-efficiency water heater. In order to participate in this program, the applicant must agree to have a Load Management Device installed on the water heater (at no cost to the member). The application

337

Online Load Balancing for Related Machines  

E-Print Network [OSTI]

of entire schedule s as follows: load(s; i) = 1 v i X s(j)=i p j ; Load(s) = max i load(s; i) It is easyOn­line Load Balancing for Related Machines Piotr Berman \\Lambda Moses Charikar y Marek Karpinski z­line load balancing was studied extensively over the years (cf., e.g., [7], [3], [4], and [2

Karpinski, Marek

338

Sany Electric | Open Energy Information  

Open Energy Info (EERE)

Sany Electric Sany Electric Jump to: navigation, search Name Sany Electric Place Beijing, Beijing Municipality, China Zip 102206 Sector Wind energy Product Beijing-based wind turbine components manufacturer. Coordinates 39.90601°, 116.387909° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.90601,"lon":116.387909,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

339

General Electric | Open Energy Information  

Open Energy Info (EERE)

Electric Electric Jump to: navigation, search Name General Electric Place Fairfield, Connecticut Zip 06828 Stock Symbol GE Year founded 1892 Number of employees 10,000+"+" is not declared as a valid unit of measurement for this property. Website http://www.ge.com/ Coordinates 41.1758333°, -73.2719444° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.1758333,"lon":-73.2719444,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

340

LABORATORY II ELECTRIC FIELDS AND ELECTRIC POTENTIALS  

E-Print Network [OSTI]

Lab II - 1 LABORATORY II ELECTRIC FIELDS AND ELECTRIC POTENTIALS In this lab you will continue to investigate the abstract concept of electric field. If you know the electric field at a point in space, you). With this simulation you can construct a complicated charge configuration and read out the resulting electric field

Minnesota, University of

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


341

Electrical and Computer Engineering Electrical Engineering  

E-Print Network [OSTI]

Electrical and Computer Engineering Electrical Engineering Department Website: www.iit.edu/engineering/ece Electrical engineering is concerned with the generation, transmission, and utilization of electrical energy and with the transmitting and processing of information. Electrical engineers are involved in the analysis, design, and pro

Heller, Barbara

342

Partnership with Industries- A Successful "Conservation and Load Management Program"  

E-Print Network [OSTI]

WAS THE EXISTENCE OF FAVORABLE TIME-OF-USE "RATES. THE OPERATIONAL PLANT LOAD IS 10,000 KW. OF THIS, ONE PROCESS WILL REQUIRE 5,000 KW E'OR HEATI NG. THE INITIAL WORK WEEK WILL BE 40 HOURS, AND IS EXPECTED TO INCREASE TO 80 HOURS WITHIN THE NEXT TWO YEARS...P~RTNERSHIPS WITH INDUSTRY '" NT PROGRAM" A SUCCESSFUL "CONSERVATION AND LOAD MANAGEME Walter E. Johnston Carolina power & Light Co. Raleigh, North Carolina INTRODUCTION CAROLINA POWER AND LIGHT PROVIDES ELECTRIC SERVICE TO ABOUT 3 MILLION...

Johnston, W. E.

343

Spring loaded locator pin assembly  

DOE Patents [OSTI]

This invention deals with spring loaded locator pins. Locator pins are sometimes referred to as captured pins. This is a mechanism which locks two items together with the pin that is spring loaded so that it drops into a locator hole on the work piece.

Groll, Todd A. (Idaho Falls, ID); White, James P. (Pocatelo, ID)

1998-01-01T23:59:59.000Z

344

Spring loaded locator pin assembly  

DOE Patents [OSTI]

This invention deals with spring loaded locator pins. Locator pins are sometimes referred to as captured pins. This is a mechanism which locks two items together with the pin that is spring loaded so that it drops into a locator hole on the work piece. 5 figs.

Groll, T.A.; White, J.P.

1998-03-03T23:59:59.000Z

345

Load Forecasting of Supermarket Refrigeration  

E-Print Network [OSTI]

energy system. Observed refrigeration load and local ambient temperature from a Danish su- permarket renewable energy, is increasing, therefore a flexible energy system is needed. In the present ThesisLoad Forecasting of Supermarket Refrigeration Lisa Buth Rasmussen Kongens Lyngby 2013 M.Sc.-2013

346

building load | OpenEI  

Open Energy Info (EERE)

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

347

Corrective Action Decision Document/Closure Report for Corrective Action Unit 567: Miscellaneous Soil Sites Nevada National Security Site, Nevada, Revision 0  

SciTech Connect (OSTI)

This Corrective Action Decision Document/Closure Report presents information supporting the closure of Corrective Action Unit (CAU) 567: Miscellaneous Soil Sites, Nevada National Security Site, Nevada. The purpose of this Corrective Action Decision Document/Closure Report is to provide justification and documentation supporting the recommendation that no further corrective action is needed for CAU 567 based on the implementation of the corrective actions. The corrective actions implemented at CAU 567 were developed based on an evaluation of analytical data from the CAI, the assumed presence of COCs at specific locations, and the detailed and comparative analysis of the CAAs. The CAAs were selected on technical merit focusing on performance, reliability, feasibility, safety, and cost. The implemented corrective actions meet all requirements for the technical components evaluated. The CAAs meet all applicable federal and state regulations for closure of the site. Based on the implementation of these corrective actions, the DOE, National Nuclear Security Administration Nevada Field Office provides the following recommendations: • No further corrective actions are necessary for CAU 567. • The Nevada Division of Environmental Protection issue a Notice of Completion to the DOE, National Nuclear Security Administration Nevada Field Office for closure of CAU 567. • CAU 567 be moved from Appendix III to Appendix IV of the FFACO.

Matthews, Patrick

2014-12-01T23:59:59.000Z

348

Streamlined Approach for Environmental Restoration (SAFER) Plan for Corrective Action Unit 575: Area 15 Miscellaneous Sites, Nevada National Security Site, Nevada, Revision 0  

SciTech Connect (OSTI)

This Streamlined Approach for Environmental Restoration (SAFER) Plan addresses the actions needed to achieve closure for Corrective Action Unit (CAU) 575, Area 15 Miscellaneous Sites, identified in the Federal Facility Agreement and Consent Order (FFACO). CAU 575 comprises the following four corrective action sites (CASs) located in Area 15 of the Nevada National Security Site: • 15-19-02, Waste Burial Pit • 15-30-01, Surface Features at Borehole Sites • 15-64-01, Decontamination Area • 15-99-03, Aggregate Plant This plan provides the methodology for field activities needed to gather the necessary information for closing each CAS. There is sufficient information and process knowledge from historical documentation and investigations of similar sites regarding the expected nature and extent of potential contaminants to recommend closure of CAU 575 using the SAFER process. Additional information will be obtained by conducting a field investigation to document and verify the adequacy of existing information, to affirm the predicted corrective action decisions, and to provide sufficient data to implement the corrective actions. This will be presented in a closure report that will be prepared and submitted to the Nevada Division of Environmental Protection (NDEP) for review and approval.

Matthews, Patrick

2014-12-01T23:59:59.000Z

349

High Temperatures & Electricity Demand  

E-Print Network [OSTI]

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

350

A review of "Plays, Poems, and Miscellaneous Writings associated with George Villiers, Second Duke of Buckingham" edited by Robert D. Hume and Harold Love, and "The Winter Prince" by Cheryl Sawyer.  

E-Print Network [OSTI]

reviews 123 Robert D. Hume and Harold Love, eds. Plays, Poems, and Miscellaneous Writings associated with George Villiers, Second Duke of Buckingham. Including Sir Politick Would-be, Wallace Kirsop, ed., and H. Gaston Hall, trans. 2 vols... and sabotaged by self-indulgence and political missteps. Yet for all his sins, Buckingham and his writings were never wholly out of fashion. Sorting through centuries of lore and canonical shambles, Rob- ert D. Hume and Harold Love have constructed a new...

Maureen E. Mulvihill

2008-01-01T23:59:59.000Z

351

Examination of shaped charge liner shock loading  

SciTech Connect (OSTI)

A series of experiments was conducted for the purpose of achieving a more fundamental understanding of the shaped charge liner shock loading environment. The test configuration, representing the middle portion of a shaped charge, consists of a 50 mm deep, 100 mm tall, and 2 mm thick copper plate driven by 50 mm deep, 100 mm tall, tapered thickness wedge of LX-14. An electrically driven 50 mm square flyer is used to surface initiate the base of the LX-14 causing a plane detonation wave to propagate into the explosive wedge along the liner surface. Fabry-Perot laser velocimetry measures the particle velocity time history of the plate. The CTH and DYNA2D hydrocodes are used to simulate the experiments. Calculations of the velocity profiles are compared to the experimental results. The effects of mesh density, copper material failure and strength models, and explosive detonation models are discussed.

Murphy, M.J.; Moore, T.W.; Lee, C.G.; Breithaupt, R.; Avara, G.R.

1996-07-01T23:59:59.000Z

352

Illinois Municipal Electric Agency- Electric Efficiency Program  

Broader source: Energy.gov [DOE]

The Illinois Municipal Electric Agency (IMEA) offers rebates to member municipal utilities* (those who purchase wholesale electric service from IMEA) and retail customers for energy efficiency...

353

Demand Response and Electric Grid Reliability  

E-Print Network [OSTI]

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

Wattles, P.

2012-01-01T23:59:59.000Z

354

The Mechanics of the Electric Field  

Science Journals Connector (OSTI)

... field and would be longer for weak fields than for strong. Now consider an electron oscillating with a definite period Ta. Close to the electrons the electric field may be ... one often used by Lord Kelvin. This is the case of a tightly stretched long string loaded at equal intervals with equal masses. This system has many periods. If P ...

J. J. THOMSON

1926-09-04T23:59:59.000Z

355

Solar Power and the Electric Grid, Energy Analysis (Fact Sheet)  

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

Power and the Electric Grid Power and the Electric Grid In today's electricity generation system, different resources make different contributions to the electricity grid. This fact sheet illustrates the roles of distributed and centralized renewable energy technologies, particularly solar power, and how they will contribute to the future electricity system. The advantages of a diversified mix of power generation systems are highlighted. Grid 101: How does the electric grid work? The electric grid-an interconnected system illustrated in Figure 1-maintains an instantaneous balance between supply and demand (generation and load) while moving electricity from generation source to customer. Because large amounts of electricity are difficult to store, the amount generated and fed into the system must be care-

356

Electrical receptacle  

DOE Patents [OSTI]

The invention is a receptacle for a three prong electrical plug which has either a tubular or U-shaped grounding prong. The inventive receptacle has a grounding prong socket which is sufficiently spacious to prevent the socket from significantly stretching when a larger, U-shaped grounding prong is inserted into the socket, and having two ridges to allow a snug fit when a smaller tubular shape grounding prong is inserted into the socket. The two ridges are made to prevent the socket from expanding when either the U-shaped grounding prong or the tubular grounding prong is inserted.

Leong, R.

1993-06-22T23:59:59.000Z

357

1991 Pacific Northwest Loads and Resources Study, Technical Appendix: Volume 1.  

SciTech Connect (OSTI)

This publication provides detailed documentation of the load forecast scenarios and assumptions used in preparing BPA's 1991 Pacific Northwest Loads and Resources Study (the Study). This is one of two technical appendices to the Study; the other appendix details the utility-specific loads and resources used in the Study. The load forecasts and assumption were developed jointly by Bonneville Power Administration (BPA) and Northwest Power Planning Council (Council) staff. This forecast is also used in the Council's 1991 Northwest Conservation and Electric Power Plan (1991 Plan).

United States. Bonneville Power Administration.

1992-03-01T23:59:59.000Z

358

ELECTRICAL ENGINEERING EECS Department  

E-Print Network [OSTI]

ELECTRICAL ENGINEERING EECS Department The Electrical Engineering and Computer Science (EECS) Department at WSU offers undergraduate degrees in electrical engineering, computer engineering and computer science. The EECS Department offers master of science degrees in computer science, electrical engineering

359

Cooling devices and methods for use with electric submersible pumps  

DOE Patents [OSTI]

Cooling devices for use with electric submersible pump motors include a refrigerator attached to the end of the electric submersible pump motor with the evaporator heat exchanger accepting all or a portion of the heat load from the motor. The cooling device can be a self-contained bolt-on unit, so that minimal design changes to existing motors are required.

Jankowski, Todd A; Hill, Dallas D

2014-12-02T23:59:59.000Z

360

Acknowledgments We thank Emily Zhang and Tim Giesbrecht for electrical  

E-Print Network [OSTI]

to attach additional solar panels and battery storage, the output load and capacity of the system can of Nyobok-Nkunzesi must travel to neighbouring towns which have access to electricity. Solar electricity has already proven to be a good source of power in the community through the installation of solar powered

Chau, Kenneth

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


361

Price-Responsive Load (PRL) Program - Framing Paper No.1  

SciTech Connect (OSTI)

By definition, effective and efficient competitive markets need a supply side and a demand side. One criticism of electric restructuring efforts in many states is that most of the attention has been focused on the supply side, in a market focused on the short term. In general, the demand side of the market has been under-addressed. The objective of the New England Demand Response Initiative (NEDRI) is to develop a comprehensive, coordinated set of demand response programs for the New England regional power markets. NEDRI aims to maximize the capability of demand response to compete in the wholesale market and to improve the economic efficiency and environmental profile of the electric sector. To those ends, NEDRI is focusing its efforts in four interrelated areas: (1) ISO-level reliability programs, (2) Market-based price-responsive load programs, (3) Demand response at retail through pricing, rate design, and advanced metering, and (4) End-use energy efficiency resources as demand response. The fourth area, energy efficiency, is the subject of this framing paper. Energy efficiency reduces the energy used by specific end-use devices and systems, typically without affecting the level of service and without loss of amenity. Energy savings and peak load reductions are achieved by substituting technically more advanced equipment, processes, or operational strategies to produce the same or an improved level of end-use service with less electricity. In contrast, load management programs lower peak demand during specific, limited time periods by either (1) influencing the timing of energy use by shifting load to another time period, or (2) reducing the level of energy use by curtailing or interrupting the load, typically with some loss of service or amenity.

Goldman, Charles A.

2002-03-01T23:59:59.000Z

362

Geometric nonlinear analysis of microbeam under electrostatic loading  

E-Print Network [OSTI]

mature, and a variety of new engineering products are being introduced into the market, there arises a need for sophisticated computer-aided engineering (CAE) tools or computer-aided design systems (CAD). Computational prototyping or simulations, when...- static field analysis [12]. Omar et al. [13] present a finite element method (FEM) for modeling electric and fluid fields in micrometers. Mullen et al. [14] used the finite element method to predict the load and buckling behavior of micro...

Murgude, Nikhil C.

2001-01-01T23:59:59.000Z

363

Electric Wheel Hub Motor  

Science Journals Connector (OSTI)

Wheel hub motors are an innovative drive concept for electric vehicles where the electric machine and, in some cases, the...

Dipl.-Ing. Michael Gröninger; Dipl.-Ing. Felix Horch…

2012-02-01T23:59:59.000Z

364

FEM Electric Assn, Inc | Open Energy Information  

Open Energy Info (EERE)

FEM Electric Assn, Inc FEM Electric Assn, Inc Jump to: navigation, search Name FEM Electric Assn, Inc Place South Dakota Utility Id 6272 Utility Location Yes Ownership C NERC MRO Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Residential Load Management Residential Small Commercial Commercial Sub-Meter (Special Electric Heat Rate) Commercial Average Rates Residential: $0.0988/kWh Commercial: $0.0740/kWh Industrial: $0.0580/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=FEM_Electric_Assn,_Inc&oldid=410672

365

UGI Utilities Electric Division | Open Energy Information  

Open Energy Info (EERE)

Utilities Electric Division Utilities Electric Division Jump to: navigation, search Logo: UGI Utilities Electric Division Name UGI Utilities Electric Division Address 2525 North 12th Street, Suite 360 Place Reading, Pennsylvania Zip 19605 Sector Services Product Green Power Marketer Website http://www.ugi.com/electric/in Coordinates 40.3746587°, -75.9149578° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.3746587,"lon":-75.9149578,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

366

Dan Klempel Basin Electric Power Cooperative DOE  

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

Dan Dan Klempel Basin Electric Power Cooperative DOE 2009 Congestion Study Workshop Oklahoma City, Oklahoma June 18, 2008 Page 1 of 5 Basin Electric Power Cooperative would like to thank the Department of Energy for this opportunity to share some of our thoughts on transmission congestion issues. Basin Electric is a wholesale power supplier to rural electric cooperatives located in the mid-west and in both the east and west interconnections. Naturally, our generation and transmission facilities also reside in both interconnections so we use asynchronous back-to-back DC facilities to balance loads with resources. With headquarters in Bismarck, North Dakota; we find ourselves in the heart of some of the nations most desirable wind patterns for potential renewable energy development as well as electric energy production from more traditional sources. Lignite coal has been a reliable

367

Definition: Bulk Electric System | Open Energy Information  

Open Energy Info (EERE)

Bulk Electric System Bulk Electric System Jump to: navigation, search Dictionary.png Bulk Electric System As defined by the Regional Reliability Organization, the electrical generation resources, transmission lines, interconnections with neighboring systems, and associated equipment, generally operated at voltages of 100 kV or higher. Radial transmission facilities serving only load with one transmission source are generally not included in this definition.[1] Related Terms Regional Reliability Organization, transmission lines, transmission line References ↑ Glossary of Terms Used in Reliability Standards An in LikeLike UnlikeLike You like this.Sign Up to see what your friends like. line Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Bulk_Electric_System&oldid=48030

368

A Plea for Simpler Electricity Tariffs  

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

A Plea for Simpler Electricity Tariffs A Plea for Simpler Electricity Tariffs Title A Plea for Simpler Electricity Tariffs Publication Type Conference Proceedings Year of Publication 2008 Authors Coleman, Philip, Christopher T. Payne, and Richard G. White Conference Name 2008 ACEEE Summer Study on Energy Efficiency in Buildings Volume 7 Pagination 60-69 Date Published 01/2008 Abstract This paper asserts that electric rate structures in the United States are often so confusing that even large commercial customers (and their energy consultants) frequently are not aware of their cost implications. This results in an under-investment in energy conservation and load management approaches. Several case studies are presented and various rate structures are discussed. An argument is made for simpler tariffs, or at least a simplified declaration (in tariffs and/or bills) to electricity customers of what their marginal costs are, such that conservation efforts can be properly valued and designed.

369

Global Electric Motorcars | Open Energy Information  

Open Energy Info (EERE)

Global Electric Motorcars Global Electric Motorcars Jump to: navigation, search Name Global Electric Motorcars Place Fargo, North Dakota Zip 58102 Sector Vehicles Product Global Electric Motorcars (GEM), a Chrysler Company, develops and manufactures electric vehicles. Coordinates 36.37617°, -99.622804° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":36.37617,"lon":-99.622804,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

370

Electricity Demand and Energy Consumption Management System  

E-Print Network [OSTI]

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

Sarmiento, Juan Ojeda

2008-01-01T23:59:59.000Z

371

Titan Electric Corporation | Open Energy Information  

Open Energy Info (EERE)

Electric Corporation Electric Corporation Jump to: navigation, search Logo: Titan Electric Corporation Name Titan Electric Corporation Address 58 Pulaski Street Place Peabody, Massachusetts Zip 01960 Sector Wind energy Product Design and installation of small-scale renewable energy systems Website http://www.titan-electric.com/ Coordinates 42.5423281°, -70.9221996° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.5423281,"lon":-70.9221996,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

372

The National Energy Modeling System: An Overview 2000 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition, nonutility supply and electricity trade are represented in the fuel dispatching and capacity planning submodules. Nonutility generation from cogenerators and other facilities whose primary business is not electricity generation is represented in the demand and fuel supply modules. All other nonutility generation is represented in EMM. The generation of electricity is accounted for in 15 supply regions (Figure 10), and fuel consumption is allocated to the 9 Census divisions.

373

Canoochee Electric Member Corp | Open Energy Information  

Open Energy Info (EERE)

Canoochee Electric Member Corp Canoochee Electric Member Corp Jump to: navigation, search Name Canoochee Electric Member Corp Place Georgia Utility Id 2903 Utility Location Yes Ownership C NERC Location SERC NERC SERC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Demand Service- DM-1 Commercial GS-1 Commercial GS-3 Commercial IR-1 Commercial IR-3 Large Power Service- LP-1 Industrial Load Management Service- LM-2 Commercial Load Mangament Service- LM-3 Commercial Power and Light Industrial Residential Service- RS-1 Residential Security Lighting Service- SL (1000W HPS Flood) Lighting

374

Mississippi County Electric Coop | Open Energy Information  

Open Energy Info (EERE)

County Electric Coop County Electric Coop Jump to: navigation, search Name Mississippi County Electric Coop Place Arkansas Utility Id 12681 Utility Location Yes Ownership C NERC Location SERC NERC SERC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Load Control of Irrigation Service I - Alternate Commercial Load Control of Irrigation Service II - Alternate Commercial Rate # 11-- Industrial Power Service Industrial Rate #1- Single Service Residential Rate #2- Three Phase Service Under 50 kW Commercial Rate #3- Large Commercial Service Commercial

375

Rolling Hills Electric Coop | Open Energy Information  

Open Energy Info (EERE)

Electric Coop Electric Coop Jump to: navigation, search Name Rolling Hills Electric Coop Place Kansas Utility Id 16267 Utility Location Yes Ownership C NERC Location SPP NERC SPP Yes RTO SPP Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Heat Pump Rider(single Phase) Residential Irrigation (I-10) Commercial Irrigation - Load Control (I-LC-10) Commercial Irrigation -Voluntary Load Management (I-VLM-10) Commercial Large Power (LP-10) Three phase for a demand of not less than 200 kW. Commercial Off Peak (OP-10), Three phase services >15kW Primary Power Service (PP-10) Commercial

376

Power load forecasting using data mining and knowledge discovery technology  

Science Journals Connector (OSTI)

Considering the importance of the peak load to the dispatching and management of the electric system, the error of peak load is proposed in this paper as criteria to evaluate the effect of the forecasting model. This paper proposes a systemic framework that attempts to use data mining and knowledge discovery (DMKD) to pretreat the data. And a new model is proposed which combines artificial neural networks with data mining and knowledge discovery for electric load forecasting. With DMKD technology, the system not only could mine the historical daily loading which had the same meteorological category as the forecasting day to compose data sequence with highly similar meteorological features, but also could eliminate the redundant influential factors. Then an artificial neural network is constructed to predict according to its characteristics. Using this new model, it could eliminate the redundant information, accelerate the training speed of neural network and improve the stability of the convergence. Compared with single BP neural network, this new method can achieve greater forecasting accuracy.

Yongli Wang; Dongxiao Niu; Ling Ji

2011-01-01T23:59:59.000Z

377

Electrical Equipment Inspection Program Electrical Safety  

E-Print Network [OSTI]

Electrical Equipment Inspection Program Electrical Safety SLAC-I-730-0A11A-001-R003 23 March 2005 Document Title: Electrical Equipment Inspection Program Original Publication Date: 19 January 2005 Revised Publication Date: 23 March 2005 (updated 29 November 2010) Department: Electrical Safety Document Number: SLAC

Wechsler, Risa H.

378

Estimating Demand Response Load Impacts: Evaluation of BaselineLoad Models for Non-Residential Buildings in California  

SciTech Connect (OSTI)

Both Federal and California state policymakers areincreasingly interested in developing more standardized and consistentapproaches to estimate and verify the load impacts of demand responseprograms and dynamic pricing tariffs. This study describes a statisticalanalysis of the performance of different models used to calculate thebaseline electric load for commercial buildings participating in ademand-response (DR) program, with emphasis onthe importance of weathereffects. During a DR event, a variety of adjustments may be made tobuilding operation, with the goal of reducing the building peak electricload. In order to determine the actual peak load reduction, an estimateof what the load would have been on the day of the event without any DRactions is needed. This baseline load profile (BLP) is key to accuratelyassessing the load impacts from event-based DR programs and may alsoimpact payment settlements for certain types of DR programs. We testedseven baseline models on a sample of 33 buildings located in California.These models can be loosely categorized into two groups: (1) averagingmethods, which use some linear combination of hourly load values fromprevious days to predict the load on the event, and (2) explicit weathermodels, which use a formula based on local hourly temperature to predictthe load. The models were tested both with and without morningadjustments, which use data from the day of the event to adjust theestimated BLP up or down.Key findings from this study are: - The accuracyof the BLP model currently used by California utilities to estimate loadreductions in several DR programs (i.e., hourly usage in highest 3 out of10 previous days) could be improved substantially if a morning adjustmentfactor were applied for weather-sensitive commercial and institutionalbuildings. - Applying a morning adjustment factor significantly reducesthe bias and improves the accuracy of all BLP models examined in oursample of buildings. - For buildings with low load variability, all BLPmodels perform reasonably well in accuracy. - For customer accounts withhighly variable loads, we found that no BLP model produced satisfactoryresults, although averaging methods perform best in accuracy (but notbias). These types of customers are difficult to characterize withstandard BLP models that rely on historic loads and weather data.Implications of these results for DR program administrators andpolicymakersare: - Most DR programs apply similar DR BLP methods tocommercial and industrial sector customers. The results of our study whencombined with other recent studies (Quantum 2004 and 2006, Buege et al.,2006) suggests that DR program administrators should have flexibility andmultiple options for suggesting the most appropriate BLP method forspecific types of customers.

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote,Sila

2008-01-01T23:59:59.000Z

379

Electrical Safety  

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

NOT MEASUREMENT NOT MEASUREMENT SENSITIVE DOE HANDBOOK ELECTRICAL SAFETY DOE-HDBK-1092-2013 July 2013 Superseding DOE-HDBK-1092-2004 December 2004 U.S. Department of Energy AREA SAFT Washington, D.C.20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. DOE-HDBK-1092-2013 Available on the Department of Energy Technical Standards Program Web site at http://www.hss.doe.gov/nuclearsafety/techstds/ ii DOE-HDBK-1092-2013 FOREWORD 1. This Department of Energy (DOE) Handbook is approved for use by the Office of Health, Safety and Security and is available to all DOE components and their contractors. 2. Specific comments (recommendations, additions, deletions, and any pertinent data) to enhance this document should be sent to: Patrick Tran

380

A scenario of vehicle-to-grid implementation and its double-layer optimal charging strategy for minimizing load variance within  

E-Print Network [OSTI]

for minimizing load variance within regional smart grids Linni Jian a, , Xinyu Zhu a , Ziyun Shao b , Shuangxia Accepted 3 November 2013 Keywords: Electric vehicle Charging strategy Vehicle-to-grid Smart grid Load benefit the grid through flattening the power load curve, hence, increase the stability, security

Leung, Ka-Cheong

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


381

DATA SHARING REPORT CHARACTERIZATION OF POPULATION 7: PERSONAL PROTECTIVE EQUIPMENT, DRY ACTIVE WASTE, AND MISCELLANEOUS DEBRIS, SURVEILLANCE AND MAINTENANCE PROJECT OAK RIDGE NATIONAL LABORATORY OAK RIDGE, TENNESSEE  

SciTech Connect (OSTI)

The U.S. Department of Energy (DOE) Oak Ridge Office of Environmental Management (EM-OR) requested that Oak Ridge Associated Universities (ORAU), working under the Oak Ridge Institute for Science and Education (ORISE) contract, provide technical and independent waste management planning support under the American Recovery and Reinvestment Act (ARRA). Specifically, DOE EM-OR requested that ORAU plan and implement a sampling and analysis campaign targeting certain URS|CH2M Oak Ridge, LLC (UCOR) surveillance and maintenance (S&M) process inventory waste. Eight populations of historical and reoccurring S&M waste at the Oak Ridge National Laboratory (ORNL) have been identified in the Waste Handling Plan for Surveillance and Maintenance Activities at the Oak Ridge National Laboratory, DOE/OR/01-2565&D2 (WHP) (DOE 2012) for evaluation and processing to determine a final pathway for disposal. Population 7 (POP 7) consists of 56 containers of aged, low-level and potentially mixed S&M waste that has been staged in various locations around ORNL. Several of these POP 7 containers primarily contain personal protective equipment (PPE) and dry active waste (DAW), but may contain other miscellaneous debris. This data sharing report addresses the Comprehensive Environmental Response, Compensation, and Liability Act of 1980 (CERCLA) specified waste in a 13-container subpopulation (including eight steel boxes, three 55-gal drums, one sealand, and one intermodal) that lacked sufficient characterization data for possible disposal at the Environmental Management Waste Management Facility (EMWMF) using the approved Waste Lot (WL) 108.1 profile.

Harpenau, Evan M

2013-10-10T23:59:59.000Z

382

Nuclear Operations Application to Environmental Restoration at Corrective Action Unit 547, Miscellaneous Contaminated Waste Sites, at the Nevada National Security Site  

SciTech Connect (OSTI)

The U.S. Department of Energy (DOE), National Nuclear Security Administration Nevada Site Office has responsibility for environmental restoration at the Nevada National Security Site (formerly the Nevada Test Site). This includes remediation at locations where past testing activities have resulted in the release of plutonium to the environment. One of the current remediation efforts involves a site where an underground subcritical nuclear safety test was conducted in 1964. The underground test was vented through a steel pipe to the surface in a closed system where gas samples were obtained. The piping downstream of the gas-sampling apparatus was routed belowground to a location where it was allowed to vent into an existing radioactively contaminated borehole. The length of the pipe above the ground surface is approximately 200 meters. This pipe remained in place until remediation efforts began in 2007, at which time internal plutonium contamination was discovered. Following this discovery, an assessment was conducted to determine the quantity of plutonium present in the pipe. This site has been identified as Corrective Action Unit (CAU) 547, Miscellaneous Contaminated Waste Sites. The quantity of plutonium identified at CAU 547 exceeded the Hazard Category 3 threshold but was below the Hazard Category 2 threshold specified in DOE Standard DOE-STD-1027-92. This CAU, therefore, was initially categorized as a Hazard Category 3 environmental restoration site. A contaminated facility or site that is initially categorized as Hazard Category 3, however, may be downgraded to below Hazard Category 3 if it can be demonstrated through further analysis that the form of the material and the energy available for release support reducing the hazard category. This is an important consideration when performing hazard categorization of environmental restoration sites because energy sources available for release of material are generally fewer at an environmental restoration site than at an operating facility and environmental restoration activities may result in the complete removal of source material.

Kevin Cabble (NSO), Mark Krauss and Patrick Matthews (N-I)

2011-03-03T23:59:59.000Z

383

The Potential for Supply-Following Loads to Enable Deep Renewables  

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

Potential for Supply-Following Loads to Enable Deep Renewables Potential for Supply-Following Loads to Enable Deep Renewables Penetration in Electricity Grids Speaker(s): Jay Taneja Date: February 27, 2013 - 12:00pm Location: 90-1099 Seminar Host/Point of Contact: Rich Brown Driven by renewables portfolio standards and other high-level policy directives, renewable electricity generation is being phased in to the electrical grid at an unprecedented rate, and primarily displacing traditional fossil fuel-powered sources. Most electricity generation by renewables is non-dispatchable, meaning that it often fluctuates unpredictably and cannot be scheduled or shifted. This makes matching supply and demand to ensure electrical reliability a fundamentally new challenge as the proportion of renewable sources increases. To overcome

384

FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH  

E-Print Network [OSTI]

Bulk System Load  Model in GE PSLF TM for Investigating the a Bulk System Load Model in GE PSLF TM for Investigating thecomposite load model in  the PSLF simulation software; the 

Lesieutre, Bernard

2013-01-01T23:59:59.000Z

385

EIA - Assumptions to the Annual Energy Outlook 2008 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2008 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2008, DOE/EIA-M068(2008). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

386

USLCI Interconnect Region Electricity datasets, 2008 | OpenEI  

Open Energy Info (EERE)

76 76 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278976 Varnish cache server USLCI Interconnect Region Electricity datasets, 2008 Dataset Summary Description Datasets are for the US electricity grid system interconnect regions (ASCC, FRCC, HICC, MRO, NPCC, RFC, SERC, SPP, TRE, WECC) for 2008. The data is provided in life cycle inventory (LCI) forms (both xls and xml). A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the interconnect regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the interconnect regions and is based on the EIA electricity reports for all power plants in the US. Detailed information on the methodology is included in the module report and detailed spreadsheet.

387

Regression Models for Demand Reduction based on Cluster Analysis of Load  

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

Regression Models for Demand Reduction based on Cluster Analysis of Load Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles Speaker(s): Nobuyuki Yamaguchi Date: March 26, 2009 - 12:00pm Location: 90-3122 This seminar provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. We examined the performance of the proposed models with respect to the validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial

388

NSTAR Electric | Open Energy Information  

Open Energy Info (EERE)

NSTAR Electric NSTAR Electric Address One NSTAR Way Place Westwood, Massachusetts Zip 02090 Sector Services Product Green Power Marketer Website http://www.nstar.com/ Coordinates 42.204066°, -71.159901° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.204066,"lon":-71.159901,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

389

Influence of loading rate on axially loaded piles in clay  

E-Print Network [OSTI]

, Haas and Saxe Yong and Japp. Arulanandan and Shen 4 ~ ~ ~ ~ ~ ~ 4 5 5 6 6 13 13 21 21 22 22 23 23 24 24 Ladd, Hi11iams, Connell and Edgars Berre and Bjerrum. Stevenson. King Vaid and Campanella. Lacasse. Rigqins. CHAPTER V... of the Gain in Strength versus Shearing Rate Plots 4. Select Regression, PI, LI, W, SO(REF) 76 Cases for 152 Laboratory Tests 5. Collected Data for Pile Load Test Results. 6. Data Set References for Pile Load Tests. Page 14 36 54 61 7. Semi...

Garland Ponce, Enrique Eduardo

2012-06-07T23:59:59.000Z

390

Cooling load design tool for UFAD systems.  

E-Print Network [OSTI]

Underfloor Air Distribution (UFAD) Design Guide. Atlanta:Load Design Tool for Underfloor Air Distribution Systems. ”for design cooling loads in underfloor air distribution (

Bauman, Fred; Schiavon, Stefano; Webster, Tom; Lee, Kwang Ho

2010-01-01T23:59:59.000Z

391

Self-aligning biaxial load frame  

DOE Patents [OSTI]

An self-aligning biaxial loading apparatus for use in testing the strength of specimens while maintaining a constant specimen centroid during the loading operation. The self-aligning biaxial loading apparatus consists of a load frame and two load assemblies for imparting two independent perpendicular forces upon a test specimen. The constant test specimen centroid is maintained by providing elements for linear motion of the load frame relative to a fixed crosshead, and by alignment and linear motion elements of one load assembly relative to the load frame.

Ward, Michael B. (Idaho Falls, ID); Epstein, Jonathan S. (Idaho Falls, ID); Lloyd, W. Randolph (Idaho Falls, ID)

1994-01-01T23:59:59.000Z

392

Self-aligning biaxial load frame  

DOE Patents [OSTI]

An self-aligning biaxial loading apparatus for use in testing the strength of specimens while maintaining a constant specimen centroid during the loading operation. The self-aligning biaxial loading apparatus consists of a load frame and two load assemblies for imparting two independent perpendicular forces upon a test specimen. The constant test specimen centroid is maintained by providing elements for linear motion of the load frame relative to a fixed cross head, and by alignment and linear motion elements of one load assembly relative to the load frame. 3 figures.

Ward, M.B.; Epstein, J.S.; Lloyd, W.R.

1994-01-18T23:59:59.000Z

393

Peak load management: Potential options  

SciTech Connect (OSTI)

This report reviews options that may be alternatives to transmission construction (ATT) applicable both generally and at specific locations in the service area of the Bonneville Power Administration (BPA). Some of these options have potential as specific alternatives to the Shelton-Fairmount 230-kV Reinforcement Project, which is the focus of this study. A listing of 31 peak load management (PLM) options is included. Estimated costs and normalized hourly load shapes, corresponding to the respective base load and controlled load cases, are considered for 15 of the above options. A summary page is presented for each of these options, grouped with respect to its applicability in the residential, commercial, industrial, and agricultural sectors. The report contains comments on PLM measures for which load shape management characteristics are not yet available. These comments address the potential relevance of the options and the possible difficulty that may be encountered in characterizing their value should be of interest in this investigation. The report also identifies options that could improve the efficiency of the three customer utility distribution systems supplied by the Shelton-Fairmount Reinforcement Project. Potential cogeneration options in the Olympic Peninsula are also discussed. These discussions focus on the options that appear to be most promising on the Olympic Peninsula. Finally, a short list of options is recommended for investigation in the next phase of this study. 9 refs., 24 tabs.

Englin, J.E.; De Steese, J.G.; Schultz, R.W.; Kellogg, M.A.

1989-10-01T23:59:59.000Z

394

1994 Pacific Northwest Loads and Resources Study, Technical Appendix: Volume 1.  

SciTech Connect (OSTI)

The 1994 Pacific Northwest Loads and Resources Study establishes the Bonneville Power Administration`s (BPA) planning basis for supplying electricity t6 BPA customers. The Loads and Resources Study is presented in two documents: (1) this technical appendix detailing loads and resources for each major Pacific Northwest generating utility; and (2) a summary of Federal system and Pacific Northwest region loads and resources. This analysis updates the 1993 Pacific Northwest Loads and Resources Study Technical Appendix published in December 1993. This technical appendix provides utility specific information that BPA uses in its long-range planning. It incorporates the following for each utility: (1) electrical demand-firm loads; (2) generating resources; and (3) contracts both inside and outside the region. This document should be used in combination with the 1994 Pacific Northwest Loads and Resources Study, published in December 1994, because much of the information in that document is not duplicated here. This BPA planning document incorporates Pacific Northwest generating resources and the 1994 medium load forecast prepared by BPA. Each utility`s forecasted future firm loads are subtracted from its existing resources to determine whether it will be surplus or deficit. If a utility`s resources are greater than loads in any particular year or month, there is a surplus of energy and/or capacity, which the utility can sell to increase revenues. Conversely, if its firm loads exceed available resources, there is a deficit of energy and/or capacity, and additional conservation, contract purchases, or generating resources will be needed to meet the utility`s load.

United States. Bonneville Power Administration.

1994-12-01T23:59:59.000Z

395

Sixth Northwest Conservation and Electric Power Plan Chapter 3: Electricity Demand Forecast  

E-Print Network [OSTI]

at a relatively slow pace, custom data centers (Google, etc.) are a relatively new end-use that has been seeing................................................................................................................... 7 Alternative Load Forecast Concepts been influenced by expected higher electricity prices that reflect a rapid rise in fuel prices

396

Miscellaneous Network Topics CSC 343643  

E-Print Network [OSTI]

to switch/route E. W. Fulp CSC 343·643 Fall 2013 1 #12;Hub, Switch, and Bridge · Computers A-H are interconnected via a hub, bridge, or switch A B C D E F G H Hub interconnecting machines Bridge interconnecting machines Hub Bridge Switch Host LAN Switch interconnecting machines A B C D E F G H A B C D E F G H · A hub

Fulp, Errin W.

397

Miscellaneous Network Topics CSC 343643  

E-Print Network [OSTI]

to switch/route E. W. Fulp CSC 343�643 Fall 2013 1 #12; Hub, Switch, and Bridge . Computers A�H are interconnected via a hub, bridge, or switch A B C D E F G H Hub interconnecting machines Bridge interconnecting machines Hub Bridge Switch Host LAN Switch interconnecting machines A B C D E F G H A B C D E F G H . A hub

Fulp, Errin W.

398

Miscellaneous Waste-Form FEPs  

SciTech Connect (OSTI)

The US DOE must provide a reasonable assurance that the performance objectives for the Yucca Mountain Project (YMP) potential radioactive-waste repository can be achieved for a 10,000-year post-closure period. The guidance that mandates this direction is under the provisions of 10 CFR Part 63 and the US Department of Energy's ''Revised Interim Guidance Pending Issuance of New US Nuclear Regulatory Commission (NRC) Regulations (Revision 01, July 22, 1999), for Yucca Mountain, Nevada'' (Dyer 1999 and herein referred to as DOE's Interim Guidance). This assurance must be demonstrated in the form of a performance assessment that: (1) identifies the features, events, and processes (FEPs) that might affect the performance of the potential geologic repository; (2) examines the effects of such FEPs on the performance of the potential geologic repository; (3) estimates the expected annual dose to a specified receptor group; and (4) provides the technical basis for inclusion or exclusion of specific FEPs.

A. Schenker

2000-12-08T23:59:59.000Z

399

MISCELLANEOUS CHARTS TABLE OF CONTENTS  

E-Print Network [OSTI]

(Southern Part) 5,645,800 W310 Mediterranean Sea (OMEGA) 2,849,300 W520 North Pacific Ocean (Eastern Part) 5,990,160 W521 North Pacific Ocean (Middle Part) 5,990,160 W522 North Pacific Ocean (Western Part) 5,999,150 W523 North Pacific Ocean (Northwestern Part) 6,469,540 W524 Western Part of Pacific Ocean including

Russell, Lynn

400

1993 Pacific Northwest Loads and Resources Study, Technical Appendix: Volume 2, Book 1, Energy.  

SciTech Connect (OSTI)

The 1993 Pacific Northwest Loads and Resources Study establishes the Bonneville Power Administration`s (BPA) planning basis for supplying electricity to BPA customers. The Loads and Resources Study is presented in three documents: (1) this technical appendix detailing loads and resources for each major Pacific and Northwest generating utility, (2) a summary of Federal system and Pacific Northwest region loads and resources, and (3) a technical appendix detailing forecasted Pacific Northwest economic trends and loads. This analysis updates the 1992 Pacific Northwest Loads and Resources Study Technical Appendix published in December 1992. This technical appendix provides utility-specific information that BPA uses in its long-range planning. It incorporates the following for each utility (1) Electrical demand firm loads; (2) Generating resources; and (3) Contracts both inside and outside the region. This document should be used in combination with the 1993 Pacific Northwest Loads and Resources Study, published in December 1993, because much of the information in that document is not duplicated here.

United States. Bonneville Power Administration.

1993-12-01T23:59:59.000Z

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


401

Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumption to the Annual Energy Outlook Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2004, DOE/EIA- M068(2004). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

402

Reducing Electricity Cost Through Virtual Machine Placement in High Performance Computing Clouds  

E-Print Network [OSTI]

Reducing Electricity Cost Through Virtual Machine Placement in High Performance Computing Clouds electricity-related costs as well as transient cooling effects. Our evaluation studies the ability) load migration enables sav- ings in many scenarios, and (3) all electricity-related costs must

403

5 kW Multilevel DC-DC Converter for Hybrid Electric and Fuel Cell Automotive  

E-Print Network [OSTI]

automobile, there are many electrical loads grouped into two main categories depending on the voltages5 kW Multilevel DC-DC Converter for Hybrid Electric and Fuel Cell Automotive Applications Faisal H. Khan1,2 Leon M. Tolbert2 fkhan3@utk.edu tolbert@utk.edu 1 Electric Power Research Institute (EPRI) 2

Tolbert, Leon M.

404

Electricity and Magnetism  

Science Journals Connector (OSTI)

... and practical applications; or, speaking briefly, theory and practice. In the theoretical part, magnetism is first treated, then electricity, in the order statical electricity, electro-chemistry, and ... first treated, then electricity, in the order statical electricity, electro-chemistry, and electro-magnetism. In the practical part are comprised telegraphy and telephony, electric lighting and transmission of ...

A. GRAY

1891-11-05T23:59:59.000Z

405

Jones Electric Moho Page 1 ImagingandobservingtheElectricalMoho  

E-Print Network [OSTI]

Jones Electric Moho Page 1 ImagingandobservingtheElectricalMoho Alan G. Jones Dublin Institute version: 18 July, 2012 Revised version: 06 February 2013 Keywords: Moho, electrical Moho, electrical conductivity, electrical resistivity, crustmantle boundary #12;Jones Electric Moho Page 2 Abstract

Jones, Alan G.

406

{Control of Residential Load Management Networks Using Real Time Pricing  

E-Print Network [OSTI]

loads to deliver load following and regulation, withproducts like load following and spinning reserve.following of constant power references. Chapter 7 Implications of Load

Burke, William Jerome

2010-01-01T23:59:59.000Z

407

Kodiak Electric Association KEA | Open Energy Information  

Open Energy Info (EERE)

Association KEA Association KEA Jump to: navigation, search Name Kodiak Electric Association (KEA) Place Kodiak, Alaska Zip 99614 Product Kodiak Electric Association, Inc. (KEA) is a rural electric cooperative which generates and distributes electrical power in Kodiak, Alaska. Coordinates 57.79435°, -152.395159° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":57.79435,"lon":-152.395159,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

408

Chicopee Electric Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Chicopee Electric Biomass Facility Chicopee Electric Biomass Facility Jump to: navigation, search Name Chicopee Electric Biomass Facility Facility Chicopee Electric Sector Biomass Facility Type Landfill Gas Location Hampden County, Massachusetts Coordinates 42.1172314°, -72.6624209° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.1172314,"lon":-72.6624209,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

409

EVI Electric Vehicles International | Open Energy Information  

Open Energy Info (EERE)

EVI Electric Vehicles International EVI Electric Vehicles International Jump to: navigation, search Name EVI (Electric Vehicles International) Place Stockton, California Product California-based Electric Vehicle Manufacturer. Coordinates 40.45184°, -112.362524° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.45184,"lon":-112.362524,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

410

Halifax Electric Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Electric Biomass Facility Electric Biomass Facility Jump to: navigation, search Name Halifax Electric Biomass Facility Facility Halifax Electric Sector Biomass Facility Type Landfill Gas Location Plymouth County, Massachusetts Coordinates 41.9120406°, -70.7168469° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.9120406,"lon":-70.7168469,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

411

Randolph Electric Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Randolph Electric Biomass Facility Randolph Electric Biomass Facility Jump to: navigation, search Name Randolph Electric Biomass Facility Facility Randolph Electric Sector Biomass Facility Type Landfill Gas Location Norfolk County, Massachusetts Coordinates 42.17668°, -71.1448516° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.17668,"lon":-71.1448516,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

412

Electric power projections | OpenEI  

Open Energy Info (EERE)

power projections power projections Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 88, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO Carolina EIA Electric power projections Virginia Data application/vnd.ms-excel icon ASEO2011: Electric Power Projections for EMM Region - SERC Reliability Corporation / Virginia-Carolina- Reference Case (xls, 259.3 KiB)

413

Capital Electric Coop, Inc | Open Energy Information  

Open Energy Info (EERE)

Capital Electric Coop, Inc Capital Electric Coop, Inc Place North Dakota Utility Id 2985 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes Activity Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Annual Rates - Irrigation (Rate Class 131) Commercial Annual Rates- Irrigation (Rate Class 130) Industrial Commercial( Rate class: 040,050,060) Commercial Commercial-UC-1(Rate Class: 061) Commercial Commercial-UC-2(Rate Class: 041, 062) Commercial Electric Heat With Over 1,000 KW of Heating Load Commercial Electric Heat(Separate Meter) Commercial

414

Energy Savings Calculator for Air-Cooled Electric Chillers | Department of  

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

Energy Savings Calculator for Air-Cooled Electric Chillers Energy Savings Calculator for Air-Cooled Electric Chillers Energy Savings Calculator for Air-Cooled Electric Chillers January 16, 2014 - 4:19pm Addthis This cost calculator is a screening tool that estimates a product's lifetime energy cost savings at various efficiency levels. Learn more about the calculator assumptions and definitions. Project Type Is this a new installation or a replacement? New Replacement How many chillers will you purchase? Performance Factors Existing What is the existing design condition? Full Load Partial Load What is the cooling capacity of the existing chiller? tons What is the full-load efficiency of the existing chiller? EER What is the partial-load efficiency of the existing chiller? EER New What is the new design condition? Full Load Partial Load

415

NREL: Transportation Research - Electric and Plug-In Hybrid Electric...  

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

Hybrid Electric Fleet Vehicle Testing How Electric and Plug-In Hybrid Electric Vehicles Work EVs use batteries to store the electric energy that powers the motor. EV...

416

Raft River Rural Electric Coop. Vigilante Electric Coop. Northern  

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

Raft River Rural Electric Coop. Vigilante Electric Coop. Northern Lights Bonners Ferry East End Mutual Heyburn Burley United Electric Albion Raft River Rural Electric Coop. Declo...

417

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

Figure 34. Regional electricity cost duration curves in 2010especially focus on electricity costs and grid compositionrelatively higher electricity costs. If electricity demand

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

418

Estimating the Value of Electricity Storage Resources in Electricity...  

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

Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The...

419

Electrical Generation for More-Electric Aircraft using Solid...  

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

Electrical Generation for More-Electric Aircraft using Solid Oxide Fuel Cells Electrical Generation for More-Electric Aircraft using Solid Oxide Fuel Cells This study, completed by...

420

Electric Vehicle Research Group  

E-Print Network [OSTI]

.................................................................................9 From diesel to electric: a new era in personnel transport for underground coal minesElectric Vehicle Research Group Annual Report 2012 #12;Table of Contents Executive Summary................................................................................8 C2-25 Electric Vehicle Drivetrain

Liley, David

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


421

Electric car Gasoline car  

E-Print Network [OSTI]

ENAC/ Electric car (Renault) Gasoline car (competitors) Gasoline car (Renault) Market shares of an electric vehicle? Electric car (Renault) Gasoline car (competitors) Gasoline car (Renault) Market shares preference survey with choice situation contexts involving gasoline cars (Renault and competitors

422

ELECTRICAL ENERGY SYSTEMS ELECTRICAL ENERGY SYSTEMS  

E-Print Network [OSTI]

. In its Energy Policy, the Scottish Government stated that it is Scotland's ambition to become a worldMEng ELECTRICAL ENERGY SYSTEMS #12;MEng ELECTRICAL ENERGY SYSTEMS Electrical energy is vital aspects of modern life. One of the biggest challenges facing society is the need for reliable energy

Strathclyde, University of

423

An Equivalent Network for Load-Flow Analysis of Power Systems  

E-Print Network [OSTI]

AN EQUIVALENT NETWORK FOR LOAD-FLOW ANALYSIS OF POWER SYSTEMS A Thesis by Meri on L. Johnson Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partihl fulfillment of the requirements for the degree... of MASTER OF SCIENCE May, 1960 Major Subject: Electrical Engineering AN EQUIVALENT NETWORK FOR LOAD-FLOW ANALYSIS OF POWER SYSTEMS A Thesis By Merion L. Johnson Approv as to style a d content by (Chairman of Co ittee ) (Head of Department...

Johnson, Merion Luke

1960-01-01T23:59:59.000Z

424

A practical approach to dynamic load-sharing in a LAN environment  

E-Print Network [OSTI]

A PRACTICAL APPROACH TO DYNAMIC LOAD-SHARING IN A LAN ENVIRONMENT A Thesis by JAGANMOHAN GUDUR Submitted to the Office of Graduate Studies of Texas A)4M University in partial fulfillment of the requirements for the degree of MASTER.... OF SCIENCE August 1993 Major Subject: Electrical Engineering A PRACTICAL APPROACH TO DYNAMIC LOAD-SHARING IN A LAN ENVIRONMENT A Thesis by JAGANMOHAN GUDUR Approved as to style and content by: Hosame Abu-Amara (Chair of Committee) Karan f . Watson...

Gudur, Jaganmohan

1993-01-01T23:59:59.000Z

425

Electrical safety guidelines  

SciTech Connect (OSTI)

The Electrical Safety Guidelines prescribes the DOE safety standards for DOE field offices or facilities involved in the use of electrical energy. It has been prepared to provide a uniform set of electrical safety standards and guidance for DOE installations in order to affect a reduction or elimination of risks associated with the use of electrical energy. The objectives of these guidelines are to enhance electrical safety awareness and mitigate electrical hazards to employees, the public, and the environment.

Not Available

1993-09-01T23:59:59.000Z

426

Electricity Monthly Update  

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

Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and...

427

Electricity Monthly Update  

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

Update November 28, 2012 Map of Electric System Selected for Daily Peak Demand was replaced with the correct map showing Selected Wholesale Electricity and Natural Gas Locations....

428

Electricity Monthly Update  

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

Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S....

429

Electricity Monthly Update  

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

marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity...

430

User Electrical Equipment Inspections  

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

User Electronic and Electrical Equipment Inspection Criteria In order to be in compliance with NEC, OSHA, and DOE regulations all electronic and electrical equipment at the APS...

431

Electricity Monthly Update  

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

See all Electricity Reports Electricity Monthly Update With Data for September 2014 | Release Date: Nov. 25, 2014 | Next Release Date: Dec. 23, 2014 Previous Issues Issue:...

432

Electricity Monthly Update  

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

See all Electricity Reports Electricity Monthly Update With Data for October 2014 | Release Date: Dec. 23, 2014 | Next Release Date: Jan. 26, 2015 Previous Issues Issue:...

433

California's electricity crisis  

E-Print Network [OSTI]

The collapse of California's electricity restructuring and competition program has attracted attention around the world. Prices in California's competitive wholesale electricity market increased by 500% between the second ...

Joskow, Paul L.

2001-01-01T23:59:59.000Z

434

Electricity Monthly Update  

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

See all Electricity Reports Electricity Monthly Update With Data for August 2014 | Release Date: Oct. 24, 2014 | Next Release Date: Nov. 24, 2014 Previous Issues Issue: October...

435

280 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 16, NO. 2, MAY 2001 Discovering Price-Load Relationships in California's  

E-Print Network [OSTI]

280 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 16, NO. 2, MAY 2001 Discovering Price-Load Relationships in California's Electricity Market Slobodan Vucetic, Kevin Tomsovic, and Zoran Obradovic Abstract--This paper reports on characterizing recent price behavior in the California electricity market. Market

Vucetic, Slobodan

436

Electricity demand analysis - unconstrained vs constrained scenarios  

Science Journals Connector (OSTI)

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

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

2003-01-01T23:59:59.000Z

437

Photovoltaic Electrical Contact and Cell Coating Basics | Department of  

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

Photovoltaic Electrical Contact and Cell Coating Basics Photovoltaic Electrical Contact and Cell Coating Basics Photovoltaic Electrical Contact and Cell Coating Basics August 19, 2013 - 4:12pm Addthis The outermost layers of photovoltaic (PV) cell, or solar cell, are the electrical contacts and anti-reflective coating. These layers provide essential functions to the cell's operation. Electrical Contacts Electrical contacts are essential to PV cells because they bridge the connection between the semiconductor material and the external electrical load, such as a light bulb. The back contact of a cell-the side away from the incoming sunlight-is relatively simple. It usually consists of a layer of aluminum or molybdenum metal. Illustration of a cutaway of a typical solar cell. The layers, from top to bottom, include a cover glass, transparent adhesive, antireflection coating, front contact, n-type semiconductor, p-type seminconductor, and back contact.

438

Photovoltaic Electrical Contact and Cell Coating Basics | Department of  

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

Photovoltaic Electrical Contact and Cell Coating Basics Photovoltaic Electrical Contact and Cell Coating Basics Photovoltaic Electrical Contact and Cell Coating Basics August 19, 2013 - 4:12pm Addthis The outermost layers of photovoltaic (PV) cell, or solar cell, are the electrical contacts and anti-reflective coating. These layers provide essential functions to the cell's operation. Electrical Contacts Electrical contacts are essential to PV cells because they bridge the connection between the semiconductor material and the external electrical load, such as a light bulb. The back contact of a cell-the side away from the incoming sunlight-is relatively simple. It usually consists of a layer of aluminum or molybdenum metal. Illustration of a cutaway of a typical solar cell. The layers, from top to bottom, include a cover glass, transparent adhesive, antireflection coating, front contact, n-type semiconductor, p-type seminconductor, and back contact.

439

Mobile loading transuranic waste at small quantity sites in the Department of Energy complex-10523  

SciTech Connect (OSTI)

Los Alamos National Laboratory, Carlsbad Office (LANL-CO), operates mobile loading operations for all of the large and small quantity transuranic (TRU) waste sites in the Department of Energy (DOE) complex. The mobile loading team performs loading and unloading evolutions for both contact handled (CH) and remote handled (RH) waste. For small quantity sites, many of which have yet to remove their TRU waste, the mobile loading team will load shipments that will ship to Idaho National Laboratory, a centralization site, or ship directly to the Waste Isolation Pilot Plant (WIPP). For example, Argonne National Laboratory and General Electric Vallecitos Nuclear Center have certified programs for RH waste so they will ship their RH waste directly to WIPP. Many of the other sites will ship their waste to Idaho for characterization and certification. The Mobile Loading Units (MLU) contain all of the necessary equipment needed to load CH and RH waste into the appropriate shipping vessels. Sites are required to provide additional equipment, such as cranes, fork trucks, and office space. The sites are also required to provide personnel to assist in the shipping operations. Each site requires a site visit from the mobile loading team to ensure that all of the necessary site equipment, site requirements and space for shipping can be provided. The mobile loading team works diligently with site representatives to ensure that all safety and regulatory requirements are met. Once the waste is ready and shipping needs are met, the mobile loading team can be scheduled to ship the waste. The CH MLU is designed to support TRUPACT-II and HalfPACT loading activities wherever needed within the DOE complex. The team that performs the mobile loading operation has obtained national certification under DOE for TRUPACT-II and HalfPACT loading and shipment certification. The RH MLU is designed to support removable lid canister (RLC) and RH-72B cask loading activities wherever needed within the DOE complex. The team that performs the mobile loading operation has obtained national certification under DOE for RLC and RH-72B Cask loading and shipment certification. To date, the mobile loading team has successfully made 2,131 CH and RH TRU waste shipments. The mobile loading team continues to provide each site with safe and compliant loading ofTRU waste.

Carter, Mitch [Los Alamos National Laboratory; Howard, Bryan [Los Alamos National Laboratory; Weyerman, Wade [Los Alamos National Laboratory; Mctaggart, Jerri [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

440

Electrical Safety - Monthly Analyses of Electrical Safety Occurrences  

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

Office of Analysis Office of Analysis Operating Experience Committee Safety Alerts Safety Bulletins Annual Reports Special Operations Reports Safety Advisories Special Reports Causal Analysis Reviews Contact Us HSS Logo Electrical Safety Monthly Analyses of Electrical Safety Occurrences 2013 September 2013 Electrical Safety Occurrences August 2013 Electrical Safety Occurrences July 2013 Electrical Safety Occurrences June 2013 Electrical Safety Occurrences May 2013 Electrical Safety Occurrences April 2013 Electrical Safety Occurrences March Electrical Safety Occurrence February Electrical Safety Occurrence January Electrical Safety Occurrence 2012 December Electrical Safety Occurrence November Electrical Safety Occurrence October Electrical Safety Occurrence September Electrical Safety Occurrence

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


441

Utilization of Heat Pump Water Heaters for Load Management  

SciTech Connect (OSTI)

The Energy Conservation Standards for Residential Water Heaters require residential electric storage water heaters with volumes larger than 55 gallons to have an energy factor greater than 2.0 after April 2015. While this standard will significantly increase the energy efficiency of water heaters, large electric storage water heaters that do not use heat pump technologies may no longer be available. Since utilities utilize conventional large-volume electric storage water heaters for thermal storage in demand response programs, there is a concern that the amended standard will significantly limit demand response capacity. To this end, Oak Ridge National Laboratory partnered with the Tennessee Valley Authority to investigate the load management capability of heat pump water heaters that meet or exceed the forthcoming water heater standard. Energy consumption reduction during peak periods was successfully demonstrated, while still meeting other performance criteria. However, to minimize energy consumption, it is important to design load management strategies that consider the home s hourly hot water demand so that the homeowner has sufficient hot water.

Boudreaux, Philip R [ORNL; Jackson, Roderick K [ORNL; Munk, Jeffrey D [ORNL; Gehl, Anthony C [ORNL; Lyne, Christopher T [ORNL

2014-01-01T23:59:59.000Z

442

JET: Electricity cost-aware dynamic workload management in geographically distributed datacenters  

Science Journals Connector (OSTI)

Abstract The ever-increasing operational cost of geographically distributed datacenters has become a critical issue for cloud service providers. To cut the electricity cost of geographically distributed datacenters, several workload management schemes have been proposed. These include Electricity price-aware InteR-datacenter load balancing (EIR), which reduces the electricity cost of active servers by dispatching the workload to datacenters with lower electricity prices, and Cooling-aware IntrA-datacenter load balancing (CIA), which decreases the power consumption of a datacenter by consolidating the workload on servers with high cooling efficiency. However, these existing schemes could incur some undesired results. For example, EIR may result in high electricity cost of cooling systems due to random workload distribution in datacenters. CIA could lead to high electricity cost of active servers since it does not consider the variation of electricity prices. In this paper, we propose a joint inter- and intra-datacenter workload management scheme, Joint ElectriciTy price-aware and cooling efficiency-aware load balancing (JET), to cut the electricity cost of geographically distributed datacenters. JET uses a short processing time to calculate the optimal workload distribution, which trades off the electricity cost of active servers and cooling systems by alternately selecting the electricity prices or the efficiency of a cooling system as the dominating factor to the electricity cost of geographically distributed datacenters. Extensive evaluations show that JET outperforms the existing schemes and achieves substantial reduction in the electricity cost of geographically distributed datacenters.

Zehua Guo; Zhemin Duan; Yang Xu; H. Jonathan Chao

2014-01-01T23:59:59.000Z

443

Macro Data Load: An Efficient Mechanism for Enhancing Loaded Data Reuse  

E-Print Network [OSTI]

Macro Data Load: An Efficient Mechanism for Enhancing Loaded Data Reuse Lei Jin and Sangyeun Cho, Member, IEEE Abstract--This paper presents a study on macro data load, a novel mechanism to increase the amount of loaded data reuse within a processor. A macro data load brings into the processor a maximum

Cho, Sangyeun

444

A hybrid dynamic and fuzzy time series model for mid-term power load forecasting  

Science Journals Connector (OSTI)

Abstract A new hybrid model for forecasting the electric power load several months ahead is proposed. To allow for distinct responses from individual load sectors, this hybrid model, which combines dynamic (i.e., air temperature dependency of power load) and fuzzy time series approaches, is applied separately to the household, public, service, and industrial sectors. The hybrid model is tested using actual load data from the Seoul metropolitan area, and its predictions are compared with those from two typical dynamic models. Our investigation shows that, in the case of four-month forecasting, the proposed model gives the actual monthly power load of every sector with only less than 3% absolute error and satisfactory reduction of forecasting errors compared to other models from previous studies.

Woo-Joo Lee; Jinkyu Hong

2015-01-01T23:59:59.000Z

445

PASSIVE DETECTION OF VEHICLE LOADING  

SciTech Connect (OSTI)

The Digital Imaging and Remote Sensing Laboratory (DIRS) at the Rochester Institute of Technology, along with the Savannah River National Laboratory is investigating passive methods to quantify vehicle loading. The research described in this paper investigates multiple vehicle indicators including brake temperature, tire temperature, engine temperature, acceleration and deceleration rates, engine acoustics, suspension response, tire deformation and vibrational response. Our investigation into these variables includes building and implementing a sensing system for data collection as well as multiple full-scale vehicle tests. The sensing system includes; infrared video cameras, triaxial accelerometers, microphones, video cameras and thermocouples. The full scale testing includes both a medium size dump truck and a tractor-trailer truck on closed courses with loads spanning the full range of the vehicle's capacity. Statistical analysis of the collected data is used to determine the effectiveness of each of the indicators for characterizing the weight of a vehicle. The final sensing system will monitor multiple load indicators and combine the results to achieve a more accurate measurement than any of the indicators could provide alone.

Garrett, A.

2012-01-03T23:59:59.000Z

446

Form EIA-860 Annual Electric Generator Report | OpenEI  

Open Energy Info (EERE)

761 761 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142263761 Varnish cache server Form EIA-860 Annual Electric Generator Report Dataset Summary Description The Form EIA-860 is a generator-level survey that collects specific information about existing and planned generators and associated environmental equipment at electric power plants with 1 megawatt or greater of combined nameplate capacity. The survey data is summarized in reports such as the Electric Power Annual. The survey data is also available for download here. The data are compressed into a self-extracting (.exe) zip folder containing .XLS data files and record layouts. The current file structure (starting with 2009 data) consists

447

Industrial Biomass Energy Consumption and Electricity Net Generation by  

Open Energy Info (EERE)

47 47 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281847 Varnish cache server Industrial Biomass Energy Consumption and Electricity Net Generation by Industry and Energy Source, 2008 Dataset Summary Description Biomass energy consumption and electricity net generation in the industrial sector by industry and energy source in 2008. This data is published and compiled by the U.S. Energy Information Administration (EIA). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords 2008 biomass consumption industrial sector Data application/vnd.ms-excel icon industrial_biomass_energy_consumption_and_electricity_2008.xls (xls, 27.6 KiB)

448

Operational water consumption and withdrawal factors for electricity  

Open Energy Info (EERE)

4047 4047 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142254047 Varnish cache server Operational water consumption and withdrawal factors for electricity generating technologies Dataset Summary Description This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. The water factors presented may be useful in modeling and policy analyses where reliable power plant level data are not available.

449

Commercial Building Loads Providing Ancillary Services in PJM  

SciTech Connect (OSTI)

The adoption of low carbon energy technologies such as variable renewable energy and electric vehicles, coupled with the efficacy of energy efficiency to reduce traditional base load has increased the uncertainty inherent in the net load shape. Handling this variability with slower, traditional resources leads to inefficient system dispatch, and in some cases may compromise reliability. Grid operators are looking to future energy technologies, such as automated demand response (DR), to provide capacity-based reliability services as the need for these services increase. While DR resources are expected to have the flexibility characteristics operators are looking for, demonstrations are necessary to build confidence in their capabilities. Additionally, building owners are uncertain of the monetary value and operational burden of providing these services. To address this, the present study demonstrates the ability of demand response resources providing two ancillary services in the PJM territory, synchronous reserve and regulation, using an OpenADR 2.0b signaling architecture. The loads under control include HVAC and lighting at a big box retail store and variable frequency fan loads. The study examines performance characteristics of the resource: the speed of response, communications latencies in the architecture, and accuracy of response. It also examines the frequency and duration of events and the value in the marketplace which can be used to examine if the opportunity is sufficient to entice building owners to participate.

MacDonald, Jason; Kiliccote, Sila; Boch, Jim; Chen, Jonathan; Nawy, Robert

2014-06-27T23:59:59.000Z

450

Development of an electric motor-driven pump unit for electro-hydraulic power steering with 42V power-Net  

Science Journals Connector (OSTI)

Motorization in vehicles is expanding rapidly for fuel efficiency, customer comfort, convenience, and safety features. These new electric loads represent an increase in the required electric power. This has gener...

J. Hur

2010-08-01T23:59:59.000Z

451

Energy Conversion to Electricity  

Science Journals Connector (OSTI)

30 May 1974 research-article Energy Conversion to Electricity D. Clark...continuing growth in the demand for energy, and of electricity as the route...the electricity share of the total energy market and of the substitution of electricity...

1974-01-01T23:59:59.000Z

452

Massachusetts Electric Vehicle Efforts  

E-Print Network [OSTI]

Massachusetts Electric Vehicle Efforts Christine Kirby, MassDEP ZE-MAP Meeting October 24, 2014 #12 · Provide Clean Air · Grow the Clean Energy Economy · Electric vehicles are a key part of the solution #12 is promoting EVs 4 #12;TCI and Electric Vehicles · Established the Northeast Electric Vehicle Network through

California at Davis, University of

453

LABORATORY V ELECTRIC CIRCUITS  

E-Print Network [OSTI]

Lab V -1 LABORATORY V ELECTRIC CIRCUITS Electrical devices are the cornerstones of our modern world understanding of them. In the previous laboratory, you studied the behavior of electric fields and their effect on the motion of electrons using a cathode ray tube (CRT). This beam of electrons is one example of an electric

Minnesota, University of

454

Career Map: Electrical Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Electrical Engineer positions.

455

Electronics, Electrical Engineering  

E-Print Network [OSTI]

SCHOOL OF Electronics, Electrical Engineering and Computer Science IS IN YOUR HANDS THE FUTURE #12;SCHOOL OF Electronics, Electrical Engineering and Computer Science2 CAREERS IN ELECTRONICS, ELECTRICAL Belfast. Ranked among the top 100 in the world for Electrical and Electronic Engineering (QS World

456

Syracuse University Electrical Engineering  

E-Print Network [OSTI]

Syracuse University Electrical Engineering and Computer Science Tenure Track Faculty Position in Electrical Engineering The Department of Electrical Engineering and Computer Science is seeking applicants for a tenure track position in Electrical Engineering starting in August 2014 or January 2015. The department

Mather, Patrick T.

457

Renewable Electricity Futures Study  

E-Print Network [OSTI]

Renewable Electricity Futures Study End-use Electricity Demand Volume 3 of 4 Volume 2 PDF Volume 3;Renewable Electricity Futures Study Edited By Hand, M.M. National Renewable Energy Laboratory Baldwin, S. U Sandor, D. National Renewable Energy Laboratory Suggested Citations Renewable Electricity Futures Study

458

Plug and Process Loads Capacity and Power Requirements Analysis  

SciTech Connect (OSTI)

This report addresses gaps in actionable knowledge that would help reduce the plug load capacities designed into buildings. Prospective building occupants and real estate brokers lack accurate references for plug and process load (PPL) capacity requirements, so they often request 5-10 W/ft2 in their lease agreements. Limited initial data, however, suggest that actual PPL densities in leased buildings are substantially lower. Overestimating PPL capacity leads designers to oversize electrical infrastructure and cooling systems. Better guidance will enable improved sizing and design of these systems, decrease upfront capital costs, and allow systems to operate more energy efficiently. The main focus of this report is to provide industry with reliable, objective third-party guidance to address the information gap in typical PPL densities for commercial building tenants. This could drive changes in negotiations about PPL energy demands.

Sheppy, M.; Gentile-Polese, L.

2014-09-01T23:59:59.000Z

459

Carroll Electric Member Corp | Open Energy Information  

Open Energy Info (EERE)

Member Corp Member Corp Jump to: navigation, search Name Carroll Electric Member Corp Place Georgia Utility Id 3081 Utility Location Yes Ownership C NERC Location SERC NERC SERC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Rate Industrial General Service Rate* Industrial Irrigation Off-Peak Seasonal Service Commercial Large Power Service Industrial Large Power Service* Load Management Service- Coincident W/ Multi-hr Peak Load Management Service- Coincident w/ ITS Peak Demand Load Management Service- Non Coincident Peak Demand

460

Online Load Balancing for Related Machines 1 Piotr Berman  

E-Print Network [OSTI]

), the load of a machine i in schedule s and Load(s), the load of entire schedule s as follows: load(s; i) = 1On­line Load Balancing for Related Machines 1 Piotr Berman The Pennsylvania State University of randomized algorithms for this problem. Key Words: on­line algorithm, load balancing, related machines

Charikar, Moses

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


461

Plug-In Electric Vehicle Handbook for Electrical  

E-Print Network [OSTI]

Plug-In Electric Vehicle Handbook for Electrical Contractors #12;Plug-In Electric Vehicle Handbook for Electrical Contractors2 Table of Contents Introduction . . . . . . . 9 EVSE Training for Electrical Contractors . . . . . . . . . . . . . . . . 18

462

Introduction Computational Efficiency Electricity Portfolio Planning Electricity Portfolios  

E-Print Network [OSTI]

Introduction Computational Efficiency Electricity Portfolio Planning Electricity Portfolios 2009/11/30­12/01 István Maros Electricity Portfolio #12;Introduction Computational Efficiency Electricity Portfolio Outline 1 Introduction 2 Computational Efficiency 3 Electricity Portfolio Approximate

463

Algae fuel clean electricity generation  

Science Journals Connector (OSTI)

Algae fuel clean electricity generation ... The link between algae and electricity may seem tenuous at best. ...

DERMOT O'SULIVAN

1993-02-08T23:59:59.000Z

464

Richmond Electric Vehicle Initiative Electric Vehicle Readiness...  

Office of Environmental Management (EM)

MO) Vehicles Home About Vehicle Technologies Office Plug-in Electric Vehicles & Batteries Fuel Efficiency & Emissions Alternative Fuels Modeling, Testing, Data & Results Education...

465

Loads Providing Ancillary Services: Review of International Experience  

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

LBNL -62701 ORNL/TM-2007/060 PNNL-16618 Loads Providing Ancillary Services: Review of International Experience Grayson Heffner 1 , Charles Goldman 1 , Brendan Kirby 2 and Michael Kintner-Meyer 3 1. Lawrence Berkeley National Laboratory 2. Oak Ridge National Laboratory 3. Pacific Northwest National Laboratory Environmental Energy Technologies Division May 2007 The work described in this report was coordinated by the Consortium for Electric Reliability Technology Solutions and was funded by the Office of Electricity Delivery and Energy Reliability, Transmission Reliability Program of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 (for LBNL); DE-AC0-500OR22725 (for ORNL); and DE-AC06-76RL01830 (for PNNL).

466

Residential Load Management Program and Pilot  

E-Print Network [OSTI]

In 1986 LCRA embarked on residential load management to control peak summer loads. At that time, LCRA was considered a summer peaking utility, and residential air conditioning and water heating systems were selected for control. The program...

Haverlah, D.; Riordon, K.

1994-01-01T23:59:59.000Z

467

Helicase Loading at Chromosomal Origins of Replication  

E-Print Network [OSTI]

Loading of the replicative DNA helicase at origins of replication is of central importance in DNA replication. As the first of the replication fork proteins assemble at chromosomal origins of replication, the loaded helicase ...

Bell, Stephen P.

468

ECE 438 Electric and Hybrid Vehicles Catalog Description: History of electric traction. Introduction to electric and hybrid-electric  

E-Print Network [OSTI]

ECE 438 ­ Electric and Hybrid Vehicles Catalog Description: History of electric traction. Introduction to electric and hybrid-electric vehicle configurations. Vehicle mechanics. Energy sources and storage. Range prediction. Motor for HEVs. Electric drive components. Vehicle transmission system. Credits

469

Analysis Methodology for Industrial Load Profiles  

E-Print Network [OSTI]

ANALYSIS METHODOLOGY FOR INDUSTRIAL LOAD PROFILES Thomas W. Reddoch Executive Vice President Eleclrolek Concepts, Inc. Knoxvillc, Tennessee ABSTRACT A methodology is provided for evaluating the impact of various demand-side management... (OSM) options on industrial customers. The basic approach uses customer metered load profile data as a basis for the customer load shape. OSM technologies are represented as load shapes and are used as a basis for altering the customers existing...

Reddoch, T. W.

470

Chapter 6 - Stage 3: Data Load  

Science Journals Connector (OSTI)

Summary This chapter discusses the Data Load stage of the Guerrilla Analytics workflow. Data Load involves getting data from a receipt location (generally the file system) and loading it into the Data Manipulation Environment (DME). In this chapter, you will learn about the various activities that take place at Data Load. You will learn about the pitfalls and risks in these activities. You will then learn a number of practice tips to mitigate those risks.

Enda Ridge

2015-01-01T23:59:59.000Z

471

FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH  

E-Print Network [OSTI]

BPA), the basic requirements for an improved load model were determined. These requirements included modeling the substation

Lesieutre, Bernard

2013-01-01T23:59:59.000Z

472

Electricity on the rig; part I -- electric applications on drilling and workover rigs  

SciTech Connect (OSTI)

This article points out that not only have electric motors replaced diesel engines and mechanical transmissions, but solid-state equipment is rapidly taking the place of rotary equipment in variable speed drivers and control systems. The SCR (silicon controlled rectifier) type of speed control has replaced other types by a large margin of acceptance on drilling rigs and has begun to be used on workover and service rigs. In most cases, electrical power is generated at the rig site with diesel-AC generators. On mechanically driven rigs, single diesel-generator sets operate to supply power for lighting and electrical motor loads. When high levels of power are required, such as on SCR-powered rigs, multiple generators are operated in electrical-parallel and each contributes to the total power required.

McNair, W.L.

1983-03-01T23:59:59.000Z

473

Structures buckling under tensile dead load  

Science Journals Connector (OSTI)

...the load measured with a load cell Gefran OC-K2D-C3...PY-2-F-100 (Gefran Spa). Data have been acquired with...elementsAmsterdamElsevier Data Supplement Data Supplement Structures buckling under tensile dead load. A movie of the experiments...

2011-01-01T23:59:59.000Z

474

Flow Duration Curve Load Duration Curve  

E-Print Network [OSTI]

and concentration data--select appropriate conversion factors 3. Develop Load Duration Curve 4. Plot observed data there has been no flow at this site #12;Gather daily flow rate data Load data into a spreasheet Sort largest, etc) Calculate percentage of days flow was exceeded: How do you estimate load with given data

475

Flow Duration Curve Load Duration Curve  

E-Print Network [OSTI]

given flow and concentration data--select appropriate conversion factors 3. Develop Load Duration Curve 4. Plot observed data with Load Duration Curve #12;What are they? How do you make one? #12;DescribesRangeFlows LowFlows 40 % of the time there has been no flow at this site #12;Gather daily flow rate data Load

476

A commercial electromechanical actuator (EMA) is to be dynamically tested with predetermined stroke and load  

E-Print Network [OSTI]

with predetermined stroke and load profiles for transient thermal and electric power behavior to validate a numerical model used for aerospace applications. The EMA will follow the stroke profile representative of a real. The EMA is commanded to follow a stroke profile representative of a real aircraft mission duty cycle

Wu, Thomas

477

Flexible Loads in Future Energy Networks Jay Taneja, Ken Lutz, and David Culler  

E-Print Network [OSTI]

of purchase. Also, unlike battery storage, thermal storage has high turn-around efficiency and nearly infinite electrical loads in the form of a domestic refrigerator augmented with a thermal storage system and a supply prototype thermal storage-enhanced refrig- erator. Using this, we investigate the behavior of a network

Culler, David E.

478

Carbon-aware Load Balancing for Geo-distributed Cloud Services  

E-Print Network [OSTI]

Carbon-aware Load Balancing for Geo-distributed Cloud Services Zhi Zhou1 Fangming Liu1 Yong Xu1 Chinese University of Hong Kong. Abstract--Recently, datacenter carbon emission has become an emerging of the electricity carbon footprint can be fully exploited to further green the cloud running on top

Lui, John C.S.

479

Demand-Side Load Scheduling Incentivized by Dynamic Energy Hadi Goudarzi, Safar Hatami, and Massoud Pedram  

E-Print Network [OSTI]

Demand-Side Load Scheduling Incentivized by Dynamic Energy Prices Hadi Goudarzi, Safar Hatami growth in electrical energy consumption under worst- case demand conditions [1]. To avoid expending 90089 {hgoudarz, shatami, pedram}@usc.edu Abstract--Demand response is an important part of the smart

Pedram, Massoud

480

HOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS  

E-Print Network [OSTI]

factors, such as the magnitude of the price increase, the presence of central air conditioning form of direct load control of end-uses such as central air conditioning or electric water heating

Note: This page contains sample records for the topic "miscellaneous electric loads" 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.


481

'Tilted' Industrial Electric Rates: A New Negative Variable for Energy Engineers  

E-Print Network [OSTI]

The cost of purchased electricity for industry is rising even faster than for other sectors. Conventional means of reducing power costs include internal techniques like load management, demand controls and energy conservation. External mechanisms...

Greenwood, R. W.

1981-01-01T23:59:59.000Z

482

Nordic Electricity Congestion's Arrangement as a Model for Europe: Physical Constraints or Operators' Opportunity  

E-Print Network [OSTI]

of distribution factors with loading”. Center for the Study of Energy Markets Working Paper 104. www.ucei.org. Bjørndal M. (2000). Topics on Electricity Transmission Pricing. Dissertation. Norwegian School of Economics and Business Administration. Bergen...

Glachant, Jean-Michel; Pignon, Virginie

2004-06-16T23:59:59.000Z

483

Electricity Reliability Council of Texas (ERCOT) | Open Energy Information  

Open Energy Info (EERE)

Electricity Reliability Council of Texas (ERCOT) Electricity Reliability Council of Texas (ERCOT) Jump to: navigation, search The Electric Reliability Council of Texas (ERCOT) manages the flow of electric power to 22 million Texas customers - representing 85 percent of the state's electric load and 75 percent of the Texas land area. As the independent system operator for the region, ERCOT schedules power on an electric grid that connects 40,000 miles of transmission lines and more than 550 generation units. ERCOT also manages financial settlement for the competitive wholesale bulk-power market and administers customer switching for 6.5 million Texans in competitive choice areas. News ERCOT gathers wind data from cellphone towers References ERCOT This article incorporates public domain material from the document:

484

West River Electric Assn Inc | Open Energy Information  

Open Energy Info (EERE)

River Electric Assn Inc River Electric Assn Inc Place South Dakota Utility Id 20401 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes Activity Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Electric Heat - Residential Direct Wired Residential Electric Heat - Residential Submetered Residential Electric Heat- Commercial Direct Wired Commercial Electric Heat- Commercial Submetered Heat Credit Commercial Large Commercial > 250 kVA Commercial Large Commercial 51-250 kW Commercial Range Wells and Rural Load Ceters Commercial

485

ASEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

ASEO2011: Electric Power Projections for EMM Region - SERC Reliability ASEO2011: Electric Power Projections for EMM Region - SERC Reliability Corporation / Virginia-Carolina Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 88, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO Carolina EIA Electric power projections Virginia Data application/vnd.ms-excel icon ASEO2011: Electric Power Projections for EMM Region - SERC Reliability Corporation / Virginia-Carolina- Reference Case (xls, 259.3 KiB)

486

U.S. electric utility demand-side management 1995  

SciTech Connect (OSTI)

The US Electric Utility Demand-Side Management report is prepared by the Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternative Fuels; Energy Information Administration (EIA); US Department of Energy. The report presents comprehensive information on electric power industry demand-side management (DSM) activities in the US at the national, regional, and utility levels. The objective of the publication is to provide industry decision makers, government policy makers, analysts, and the general public with historical data that may be used in understanding DSM as it relates to the US electric power industry. The first chapter, ``Profile: US Electric Utility Demand-Side Management``, presents a general discussion of DSM, its history, current issues, and a review of key statistics for the year. Subsequent chapters present discussions and more detailed data on energy savings, peak load reductions and costs attributable to DSM. 9 figs., 24 tabs.

NONE

1997-01-01T23:59:59.000Z

487

2005 Electric Distribution Peer Review - Agenda and Presentations |  

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

Information Center » Library » Peer Reviews » 2005 Electric Information Center » Library » Peer Reviews » 2005 Electric Distribution Peer Review - Agenda and Presentations 2005 Electric Distribution Peer Review - Agenda and Presentations Electric Distribution R&D FY05 Annual Program and Peer Review Meeting April 19 & 20, 2005 Georgia Tech Conference Center Atlanta, Georgia Agenda (PDF 96 KB) Plenary Sessions Welcome and Our New Office of Electricity and Energy Assurance - Kevin Kolevar, DOE Overview of the Electric Distribution R&D - Eric Lightner, DOE Presentation (PDF 883 KB). GridWise Architectural Council - Rik Drummond, Drummond Group, Inc. Presentation (PDF 1.5 MB). Advanced Grid Application Consortium (GridApp) - James Crane, Exelon Corp. Presentation (PDF 1.6 MB). Session 1: Monitoring and Load Management Technologies

488

SVC implementation using neural networks for an AC electrical railway  

Science Journals Connector (OSTI)

This paper presents an on-line method for implementation of a static var compensator (SVC) in a real ac autotransformer (AT)-fed electrical railway for reactive power compensation using Neural Networks (NN). Genetic algorithm (GA) can be the off-line ... Keywords: AC electrical railways load flow, forward/backward sweep (FBS), genetic algorithm (GA), neural network (NN), reactive power compensation, static var compensator (SVC)

Saeid Veysi Raygani; Bijan Moaveni; Seyed Saeed Fazel; Amir Tahavorgar

2011-05-01T23:59:59.000Z

489

ADVANCED WIRELESS CHARGING SYSTEM FOR PORTABLE ELECTRIC DEVICES  

E-Print Network [OSTI]

within a power network and microgrids. The formulation and im- plementation of the optimal surfaces are presented, in addition to experimental validation of the new power buffer control law. Index Terms?DC power systems, differential game, distributed... control, nonlinear systems, power buffers. I. INTRODUCTION INA LOCAL area electrical power networks, such as a mi-crogrids [1] or electric ships [2], all components of the sys- tem, including sources, loads, and distribution have multiple commitments...

Liu, Jianyang

2012-04-19T23:59:59.000Z

490

Nashville Electric Service NES | Open Energy Information  

Open Energy Info (EERE)

Service NES Service NES Jump to: navigation, search Name Nashville Electric Service (NES) Place Nashville, Tennessee Zip 37246 Product Nashville Electric Service (NES), the 12th largest public utility in the US, distributes electrical energy to customers located in the greater Nashville area of middle Tennessee. Coordinates 36.167783°, -86.778365° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":36.167783,"lon":-86.778365,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

491

Hanyang Electric Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Hanyang Electric Co Ltd Hanyang Electric Co Ltd Jump to: navigation, search Name Hanyang Electric Co Ltd Place Paju, Gyeonggi-do, Korea (Republic) Sector Solar Product Korean manufacturer of various electronic goods, including solar inverters. Coordinates 37.840069°, 126.840172° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.840069,"lon":126.840172,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

492

Choice Electric Co | Open Energy Information  

Open Energy Info (EERE)

Choice Electric Co Choice Electric Co Jump to: navigation, search Name Choice Electric Co Place Murwillumbah, New South Wales, Australia Zip 2484 Sector Solar Product Agency for Sharp solar (the largest solar panel producer in the world), Fronius, and Unitrac. Coordinates -28.32995°, 153.391693° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-28.32995,"lon":153.391693,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

493

Maui Electric Company MECO | Open Energy Information  

Open Energy Info (EERE)

MECO MECO Jump to: navigation, search Name Maui Electric Company (MECO) Place Honolulu, Hawaii Zip 96806-1670 Sector Renewable Energy Product Maui-based electricity distributor and generator. Approximately 7% of MECO's electricity production comes from renewable resources. Coordinates 21.30477°, -157.857614° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":21.30477,"lon":-157.857614,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

494

Iowa Lakes Electric Cooperative | Open Energy Information  

Open Energy Info (EERE)

Iowa Lakes Electric Cooperative Iowa Lakes Electric Cooperative Place Estherville, Iowa Zip 51334 Sector Wind energy Product Iowa-based consumer-owned electric cooperative. The entity is a project developer for two wind farms. Coordinates 43.401935°, -94.838594° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.401935,"lon":-94.838594,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

495

North American Electric Reliability Council Outage Announcement |  

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

Council Outage Announcement Council Outage Announcement North American Electric Reliability Council Outage Announcement Starting at about 4:11 p.m. EDT, major losses of electric load occurred in the northeastern United States and Canada in the Eastern Interconnection. Although the exact cause is not known at present, the outages are not the result of a terrorist attack. The areas most affected center around the Great Lakes: Michigan, Ohio, New York City, Ontario, Quebec, northern New Jersey, Massachusetts, and Connecticut. North American Electric Reliability Council Outage Announcement More Documents & Publications Blackout 2003: Final Report on the August 14, 2003 Blackout in the United States and Canada: Causes and Recommendations Blackout 2003: Blackout Final Implementation Report

496

Midwest Electric, Inc | Open Energy Information  

Open Energy Info (EERE)

Electric, Inc Electric, Inc Jump to: navigation, search Name Midwest Electric, Inc Place Ohio Zip 45885 Year founded 1936 Number of employees 11-50 Phone number 1-800-962-3830 Website www.midwestrec.com Coordinates 40.5396595°, -84.3962535° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.5396595,"lon":-84.3962535,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

497

Rochester Gas and Electric | Open Energy Information  

Open Energy Info (EERE)

and Electric and Electric Jump to: navigation, search Name Rochester Gas and Electric Address 89 East Avenue Place Rochester, New York Zip 14649 Sector Services Product Green Power Marketer Website http://www.rge.com/ Coordinates 43.156495°, -77.602118° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.156495,"lon":-77.602118,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

498

SEMO Electric Cooperative | Open Energy Information  

Open Energy Info (EERE)

SEMO Electric Cooperative SEMO Electric Cooperative Jump to: navigation, search Name SEMO Electric Cooperative Place Missouri Utility Id 16805 Utility Location Yes Ownership C NERC Location SERC NERC SERC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Agriculture Multi-Phase (Up to 50 kW) Commercial Church Multi-Phase Commercial Church Single-Phase Commercial Controlled Irrigation Rate Commercial General Service Single-Phase Commercial Industrial (Over 250 kW) Industrial Industrial Load Controlled (Over 250 kW) Industrial Irrigation Rate Commercial Large Agriculture (Over 50 kW) Commercial

499

Granger Electric Company | Open Energy Information  

Open Energy Info (EERE)

Granger Electric Company Granger Electric Company Jump to: navigation, search Name Granger Electric Company Place Lansing, Michigan Zip 48906-1044 Product Michigan-based landfill gas-to-energy project developer. Coordinates 38.074853°, -81.069007° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.074853,"lon":-81.069007,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

500

Halla Electric Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Halla Electric Co Ltd Halla Electric Co Ltd Jump to: navigation, search Name Halla Electric Co Ltd Place Daegu, Korea (Republic) Sector Solar Product A Korean utility company based in Daegu but operating a minor solar project in South Jeolla. Coordinates 35.88871°, 128.614868° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.88871,"lon":128.614868,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}