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Note: This page contains sample records for the topic "industrial classification code" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Table 40. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

0. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code 0. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 40. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 NAICS Code June 30, 2013 March 31, 2013 June 30, 2012 Percent Change (June 30) 2013 versus 2012 311 Food Manufacturing 875 926 1,015 -13.9 312 Beverage and Tobacco Product Mfg. 26 17 19 35.8 313 Textile Mills 22 22 25 -13.9 315 Apparel Manufacturing w w w w 321 Wood Product Manufacturing w w w w 322 Paper Manufacturing 570 583

2

Table 35. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 35. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date NAICS Code April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change 311 Food Manufacturing 2,256 2,561 1,864 4,817 4,343 10.9 312 Beverage and Tobacco Product Mfg. 38 50 48 88 95 -7.7 313 Textile Mills 31 29 21 60 59 2.2 315 Apparel Manufacturing w w w w w w 321 Wood Product Manufacturing w w w

3

Table 28. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 28. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date NAICS Code April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change 311 Food Manufacturing 2,214 2,356 1,994 4,570 4,353 5.0 312 Beverage and Tobacco Product Mfg. 48 37 53 85 90 -5.6 313 Textile Mills 31 29 22 59 63 -6.1 315 Apparel Manufacturing w w w w w w 321 Wood Product Manufacturing w w w w w w 322 Paper Manufacturing

4

Table 29. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 29. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date NAICS Code April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change 311 Food Manufacturing 51.17 49.59 50.96 50.35 50.94 -1.2 312 Beverage and Tobacco Product Mfg. 111.56 115.95 113.47 113.49 117.55 -3.5 313 Textile Mills 115.95 118.96 127.41 117.40 128.07 -8.3 315 Apparel Manufacturing

5

North American Industry Classification System (NAICS) Search Tool |  

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

North American Industry Classification System (NAICS) Search Tool North American Industry Classification System (NAICS) Search Tool North American Industry Classification System (NAICS) Search Tool The North American Industry Classification System (NAICS) is the standard used by Federal statistical agencies in classifying business establishments for the purpose of collecting, analyzing, and publishing statistical data related to the U.S. business economy. NAICS was developed under the auspices of the Office of Management and Budget, and adopted in 1997 to replace the Standard Industrial Classification system. Through our website, you can search for procurement opportunities using your company's NAICS code, and you can learn more about the history of purchasing for your NAICS code at the Department. Visit our Industry Information page to learn more about our procurements by

6

The Classification of Some Perfect Codes  

Science Conference Proceedings (OSTI)

Perfect 1-error correcting codes C in Z2n, where n=2m?1, are considered. Let ?C? denote the linear span of the words of C and let the rank of C ... Keywords: perfect codes

Sergey V. Avgustinovich; Olof Heden; Faina I. Solov’eva

2004-03-01T23:59:59.000Z

7

Industrial Steam Power Cycles Final End-Use Classification  

E-Print Network (OSTI)

Final end uses of steam include two major classifications: those uses that condense the steam against heat transfer surfaces to provide heat to an item of process or service equipment; and those that require a mass flow of steam for stripping, dilution, a reaction ingredient, etc. These classifications are termed 'Btu' loads or 'Pound' loads. Some final end uses of steam are actually a combination of the two. The classification of steam loads is extremely important to the overall economics of the industrial plant steam system. These economic effects are explained in detail as they impact on both the thermal efficiency and the heat power cycle efficiency of an industrial system. The use of a powerful steam system mass and energy modeling program called MESA (Modular Energy System Analyzer, The MESA Company) in identifying and accurately evaluating these effects is described.

Waterland, A. F.

1983-01-01T23:59:59.000Z

8

Improving the industrial classification of cork stoppers by using image processing and Neuro-Fuzzy computing  

Science Conference Proceedings (OSTI)

This paper presents a solution to a problem existing in the cork industry: cork stopper/disk classification according to their quality using a visual inspection system. Cork is a natural and heterogeneous (remarkable variability among different samples, ... Keywords: Automated visual inspection system, Cork industry, Image processing, Neuro-Fuzzy classifier, Stopper quality

Beatriz Paniagua; Miguel A. Vega-Rodríguez; Juan A. Gomez-Pulido; Juan M. Sanchez-Perez

2010-12-01T23:59:59.000Z

9

Advanced Manufacturing Office: Industrial Distributed Energy  

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

Industry Classification System (NAICS) code, system size, technologyprime mover, fuel, thermal energy use, and year installed. Access the CHP Project Profiles database....

10

" Row: Industry-Specific Technologies within Selected NAICS Codes;"  

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

3. Number of Establishments by Usage of Energy-Saving Technologies for Specific Industries, 1998;" 3. Number of Establishments by Usage of Energy-Saving Technologies for Specific Industries, 1998;" " Level: National Data; " " Row: Industry-Specific Technologies within Selected NAICS Codes;" " Column: Usage;" " Unit: Establishment Counts." ,,,,,"RSE" "NAICS"," ",,,,"Row" "Code(a)","Industry-Specific Technology","In Use(b)","Not in Use","Don't Know","Factors" ,,"Total United States" ,"RSE Column Factors:",1.3,0.5,1.5 , 311,"FOOD" ," Infrared Heating",762,13727,2064,1.8 ," Microwave Drying",270,14143,2140,2.5

11

AMO Industrial Distributed Energy: Combined Heat and Power Projects  

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

Industry Classification System (NAICS) code, system size, technologyprime mover, fuel, thermal energy use, and year installed. View a list of project profiles by market...

12

Industrial process heat case studies. [PROSYS/ECONMAT code  

DOE Green Energy (OSTI)

Commercially available solar collectors have the potential to provide a large fraction of the energy consumed for industrial process heat (IPH). Detailed case studies of individual industrial plants are required in order to make an accurate assessment of the technical and economic feasibility of applications. This report documents the results of seven such case studies. The objectives of the case study program are to determine the near-term feasibility of solar IPH in selected industries, identify energy conservation measures, identify conditions of IPH systems that affect solar applications, test SERI's IPH analysis software (PROSYS/ECONOMAT), disseminate information to the industrial community, and provide inputs to the SERI research program. The detailed results from the case studies are presented. Although few near-term, economical solar applications were found, the conditions that would enhance the opportunities for solar IPH applications are identified.

Hooker, D.W.; May, E.K.; West, R.E.

1980-05-01T23:59:59.000Z

13

Classification  

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

Classification Classification Name: mike Status: N/A Age: N/A Location: N/A Country: N/A Date: Around 1993 Question: What is the most accurate way to classify animals in taxonomy? Replies: If by "most accurate", you mean the way that best approximates classifying animals according to their genetic relatedness, and historical ties, then the best way is called "cladistics." Cladistics is a method that is used to split a group of animals (or any living thing) into two groups. The process is completed until there are only two animals left, and they are split. The criteria they use to split groups is based on "synapomorphies" a 50-cent word which means a SHARED and DERIVED CHARACTER. A CHARACTER is a measure of an organism, like its color, or structure, or size. A DERIVED character is one that is newly evolved. For instance, if you had a group of 5 fish, and 2 monkeys, you would guess (based on previous work) that the two monkeys belong in one group, and the 5 fish in the other (and you would be right). This is because the 2 monkeys SHARE many DERIVED CHARACTERS that the fish do not share with the monkeys. One such derived character is the presence of legs. Fossil evidence shows that vertebrate legs are newly evolved with respect to fish. Fish came first, the vertebrate legs. You have now created a simple cladogram. One branch is for fish, the other for monkeys. By the by, taxonomy is the process of naming organisms, and is neither accurate nor inaccurate. Phyletics is the science of determining the beasts genetic relationships, and that can be inaccurate if one is not careful

14

Photovoltaic industry proposed changes for the 1999 national electrical code for PV applications  

SciTech Connect

An industry supported task group has recently completed writing proposals for changes in bring Article 690 of the 1999 National Electrical Code (NEC{reg_sign}) up to the state-of-the-art in photovoltaic device and system technology. This paper summarizes proposed code changes, discusses background on both new and changed, and presents examples for the proposed changes. Topics such as the proposed new temperature compensation table for calculating maximum system voltage are analyzed. Procedures for calculating conductor sizes with the proposed changes are presented. Impacts on photovoltaic installations, building integrated systems, and AC module installations are also analyzed.

Bower, W. [Sandia National Labs., Albuquerque, NM (United States); Wiles, J.C. [New Mexico State Univ., Las Cruces, NM (United States). Southwest Technology Development Institute

1997-06-01T23:59:59.000Z

15

An Evaluation of Alternative Classification Methods for Routine Low Level Waste from the Nuclear Power Industry  

Science Conference Proceedings (OSTI)

This report investigates the feasibility of classifying all routine nuclear power plant low level waste, including Class B and Class C waste, as Class A low level waste within the framework of NRC regulatory requirements. A change in classification could expand disposal venues and reduce the uncertainty of future disposal. The report shows that all of the waste, when managed as a composite stream, will meet the requirements for Class A disposal without leaving a portion of the stream orphaned to on-site ...

2007-11-19T23:59:59.000Z

16

Equipment/product classification. [Equipment suppliers for the oil and gas industry  

SciTech Connect

This article contains information about the manufacturers and suppliers of goods for the oil and gas industry, including machines, software, services, and equipment used to build, operate, and maintain energy pipeline systems. The article represents companies around the world and are arranged by product category for ease of use.

Not Available

1994-05-01T23:59:59.000Z

17

Summary of collaborative photovoltaic industry work to proactively improve codes and standards for photovoltaic power system applications  

SciTech Connect

Several important milestones in codes and standards pertaining to the design, installation and operation of photovoltaic (PV) systems have recently been completed with collaboration of participants from all sectors of the PV industry, utilities and the US Department of Energy`s National Photovoltaic Program. Codes and standards that have been proposed, written or modified include changes and additions for the 1999 National Electrical Code{reg_sign} (NEC{reg_sign}), standards for fire and personnel safety, system testing, component qualification, and utility interconnect. Project authorization requests with the Institute of Electrical and Electronic Engineers (IEEE) have resulted in standards for listing PV modules and balance-of-system components. Industry collaboration with Underwriter Laboratories, Inc. (UL), with the American Society for Testing and Materials (ASTM), and through critical input and review for international standards with the International Electrotechnical Commission (IEC) have resulted in domestic and international standards for PV. Work related to the codes and standards activities through the International Energy Agency (IEA) is also being supported by the PV industry and the US DOE. This paper will concentrate on and summarize the important new NEC proposals for PV systems and will also describe and show the bonds between the activities in other standards writing activities. The paper will also provide an analysis of changes and resulting impacts of selected proposed NEC changes on PV designs, installations and performance.

Bower, W.I.

1997-08-01T23:59:59.000Z

18

Industry  

E-Print Network (OSTI)

from refrigeration equipment used in industrial processesfrom refrigeration equipment used in industrial processesfrom refrigeration equipment used in industrial processes

Bernstein, Lenny

2008-01-01T23:59:59.000Z

19

A Guide to Deciphering the Internal Codes Used by the Tobacco Industry  

E-Print Network (OSTI)

Williamson. (1978 est. May) Glossary of B. L. Plant Terms.CS. (1987, February 6) Glossary/Acronyms List. Brown &Coding Project – Substance Glossary. Brown and Williamson.

Doris Cullen; Geoffrey Ferris Wayne; Gregory N. Connolly; Howard Koh

2005-01-01T23:59:59.000Z

20

Industry  

E-Print Network (OSTI)

oxide emission reductions in industry in the EU. Europeanissues: Annual survey of industries. Central StatisticalDesiccated coconut industry of Sri- Lanka’s opportunities

Bernstein, Lenny

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial classification code" 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

Industry  

E-Print Network (OSTI)

the paper, glass or ceramics industry) making it difficulttechnology in the ceramic manufacturing industry. industries: iron and steel, non-ferrous metals, chemicals (including fertilisers), petroleum refining, minerals (cement, lime, glass and ceramics) and

Bernstein, Lenny

2008-01-01T23:59:59.000Z

22

Industry  

E-Print Network (OSTI)

in the iron and steel industry: a global model. Energy, 30,report of the world steel industry 2005. International Irontrends in the iron and steel industry. Energy Policy, 30,

Bernstein, Lenny

2008-01-01T23:59:59.000Z

23

Industry  

E-Print Network (OSTI)

and power in US industry. Energy Policy, 29, pp. 1243-1254.Paris. IEA, 2004: Energy Policies of IEA Countries: Finlandand steel industry. Energy Policy, 30, pp. 827-838. Kim, Y.

Bernstein, Lenny

2008-01-01T23:59:59.000Z

24

Industry  

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

in an Appliance Industry Abstract This report provides a starting point for appliance energy efficiency policy to be informed by an understanding of: the baseline rate and...

25

Industry  

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

An Exploration of Innovation and An Exploration of Innovation and Energy Efficiency in an Appliance Industry Prepared by Margaret Taylor, K. Sydny Fujita, Larry Dale, and James McMahon For the European Council for an Energy Efficient Economy March 29, 2012 ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY LBNL - 5689E An Exploration of Innovation and Energy Efficiency in an Appliance Industry Abstract This report provides a starting point for appliance energy efficiency policy to be informed by an understanding of: the baseline rate and direction of technological change of product industries; the factors that underlie the outcomes of innovation in these industries; and the ways the innovation system might respond to any given intervention. The report provides an overview of the dynamics of energy efficiency policy and innovation in the appliance

26

Industry  

E-Print Network (OSTI)

milling industry: An ENERGY STAR Guide for Energy and Plantcement mak- ing - An ENERGY STAR Guide for Energy and Plantre- fineries - An ENERGY STAR Guide for Energy and Plant

Bernstein, Lenny

2008-01-01T23:59:59.000Z

27

Algorithms for pseudoknot classification  

Science Conference Proceedings (OSTI)

The structures of non-coding RNAs are found to be critical in many biological functions. In particular, pseudoknotted structures play an important role in some of these functions. Different pseudoknotted structures may have different functionalities. ... Keywords: non-coding RNA, pseudoknot classification

Thomas K. F. Wong; Hui-Ting Yu; Bay-Yuan Hsu; Tak-Wah Lam; Wing-Kai Hon; Siu-Ming Yiu

2011-08-01T23:59:59.000Z

28

Industry  

Science Conference Proceedings (OSTI)

This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of industrial mitigation for sustainable development is discussed in Section 7.7. Section 7.8 discusses the sector's vulnerability to climate change and options for adaptation. A number of policies have been designed either to encourage voluntary GHG emission reductions from the industrial sector or to mandate such reductions. Section 7.9 describes these policies and the experience gained to date. Co-benefits of reducing GHG emissions from the industrial sector are discussed in Section 7.10. Development of new technology is key to the cost-effective control of industrial GHG emissions. Section 7.11 discusses research, development, deployment and diffusion in the industrial sector and Section 7.12, the long-term (post-2030) technologies for GHG emissions reduction from the industrial sector. Section 7.13 summarizes gaps in knowledge.

Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

2007-12-01T23:59:59.000Z

29

Coded output support vector machine  

Science Conference Proceedings (OSTI)

The authors propose a coded output support vector machine (COSVM) by introducing the idea of information coding to solve multi-class classification problems for large-scale datasets. The COSVM is built based on the support vector regression (SVR) machine ... Keywords: coded output, multi-class classification, number system, parallel implementation, support vector machine (SVM)

Tao Ye; Xuefeng Zhu

2012-07-01T23:59:59.000Z

30

Industrial  

Gasoline and Diesel Fuel Update (EIA)

Industrial Industrial 8,870,422 44.3% Commercial 3,158,244 15.8% Electric Utilities 2,732,496 13.7% Residential 5,241,414 26.2% Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." T e x a s L o u i s i a n a C a l i f o r n i a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Industrial Billion Cubic Meters T e x a s C a l i f o r n i a F l o r i d a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Electric Utilities Billion Cubic Meters N e w Y o r k C a l i f o r n i a I l l i n o i s A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Commercial Billion Cubic Meters I l l i n o i s C a l i f o r n i a N e w Y o r k A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Residential Billion Cubic Meters 11. Natural Gas Delivered to Consumers in the United States, 1996 Figure Volumes in Million Cubic Feet Energy Information Administration

31

Impact of the Massachusetts Pharmaceutical and Medical Device Manufacturer Code of Conduct on medical device physician-industry collaboration  

E-Print Network (OSTI)

The Massachusetts Pharmaceutical and Medical Device Manufacturer Code of Conduct (PCOC) or 105 CMR 970.000 was enacted by the Massachusetts state legislature and adopted by the Department of Public Health (DPH) in July ...

Wolf, Daniel W. (Daniel William)

2010-01-01T23:59:59.000Z

32

Profile of the wood furniture and fixtures industry. EPA Office of Compliance sector notebook project  

Science Conference Proceedings (OSTI)

The furniture and fixtures industry encompasses companies that manufacture household, office, store, public building, and restaurant furniture and fixtures. The second section provides background information on the size, geographic distribution, employment, production, sales, and economic condition of the Wood Furniture and Fixtures industry. The type of facilities described within the document are also described in terms of their Standard Industrial Classification (SIC) codes. Additionally, this section contains a list of the largest companies in terms of sales.

NONE

1995-09-01T23:59:59.000Z

33

A ternary unification framework for optimizing TCAM-based packet classification systems  

Science Conference Proceedings (OSTI)

Packet classification is the key mechanism for enabling many networking and security services. Ternary Content Addressable Memory (TCAM) has been the industrial standard for implementing high-speed packet classification because of its constant classification ... Keywords: packet classification, tcam

Eric Norige, Alex X. Liu, Eric Torng

2013-10-01T23:59:59.000Z

34

Groundwater Classification and Standards (North Carolina) | Department of  

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

Classification and Standards (North Carolina) Classification and Standards (North Carolina) Groundwater Classification and Standards (North Carolina) < Back Eligibility Commercial Industrial Construction Transportation Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State North Carolina Program Type Environmental Regulations Siting and Permitting Provider Department of Environment and Natural Resources The rules established in this Subchapter 2L of North Carolina Administrative Code Title 15A are intended to maintain and preserve the quality of the groundwaters, prevent and abate pollution and contamination of the waters of the state, protect public health, and permit management of the groundwaters for their best usage by the citizens of North Carolina. It

35

Harmonizing Above Code Codes  

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

Harmonizing "Above Code" Harmonizing "Above Code" Codes Doug Lewin Executive Director, SPEER 6 Regional Energy Efficiency Organizations SPEER Members Texas grid facing an energy crisis * No new generation coming online * Old, inefficient coal-fired plants going offline * ERCOT CEO Trip Doggett said "We are very concerned about the significant drop in the reserve margin...we will be very tight on capacity next summer and have a repeat of this year's emergency procedures and conservation appeals." Higher codes needed to relieve pressure Building Codes are forcing change * 2012 IECC 30% higher than 2006 IECC * IRC, the "weaker code," will mirror IECC in 2012 * City governments advancing local codes with

36

" Row: NAICS Codes;" " ...  

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

Only","Other than","and","Any","from Only","Other than","and" "Code(a)","Subsector and Industry","Electricity(b)","Local Utility(c)","Local Utility(d)","Other Sources","Natural...

37

" Row: NAICS Codes;" " ...  

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

than","and","Any","from Only","Other than","and","Row" "Code(a)","Subsector and Industry","Electricity(b)","Local Utility(c)","Local Utility(d)","Other Sources","Natural...

38

Lubricant Classification  

Science Conference Proceedings (OSTI)

Table 9   Engine tests for API classification...wear ASTM sequence VI (1982 Buick V-6 engine): Fuel economy Diesel engines CRC L-38: Bearing corrosion, oxidation, shear stability Caterpillar 1K: Piston deposits Detroit diesel 6V-92TA (two-stroke engine): Piston

39

Product Classification  

Science Conference Proceedings (OSTI)

Table 1   Major types and uses of pipe...Uses Standard Industrial or residential water steam, oil, or gas

40

Classification Training Institute Catalog | Department of Energy  

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

Classification Training Institute Catalog Classification Training Institute Catalog Enforcement Guidance Oversight Reporting Classification Classification Training Institute...

Note: This page contains sample records for the topic "industrial classification code" 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

An Input-Output Analysis of the Relationships Between Communications and Travel for Industry  

E-Print Network (OSTI)

Make of Commodities by Industries 2. The Use of Industriesrelationships in industry. Transportation Research A 31A(for Classification of Industries in 1997 B. Comparison of

Lee, Taihyeong; Mokhtarian, Patricia L.

2004-01-01T23:59:59.000Z

42

Regularized Robust Coding for Face Recognition  

E-Print Network (OSTI)

Recently the sparse representation based classification (SRC) has been proposed for robust face recognition (FR). In SRC, the testing image is coded as a sparse linear combination of the training samples, and the representation fidelity is measured by the l2-norm or l1-norm of the coding residual. Such a sparse coding model assumes that the coding residual follows Gaussian or Laplacian distribution, which may not be effective enough to describe the coding residual in practical FR systems. Meanwhile, the sparsity constraint on the coding coefficients makes SRC's computational cost very high. In this paper, we propose a new face coding model, namely regularized robust coding (RRC), which could robustly regress a given signal with regularized regression coefficients. By assuming that the coding residual and the coding coefficient are respectively independent and identically distributed, the RRC seeks for a maximum a posterior solution of the coding problem. An iteratively reweighted regularized robust coding (IR...

Meng, Yang; Jian, Yang; Zhang, David

2012-01-01T23:59:59.000Z

43

The industrial Center at Mississippi State University  

Science Conference Proceedings (OSTI)

The Mississippi State University Industrial Assessment Center (IAC) is one of 26 centers supported by the U.S. Department of Energy (DOE) at universities across the country. The Mississippi State University IAC in existence since 1994 provides plant assessments at no cost to eligible small and mid-sized manufacturers categorized in Standard Industrial Classification (SIC) Codes 20-39. Client eligibility is based on gross sales below $100 million, fewer than 500 employees at the plant, annual utility bills more than $100,000 and less than $2 million, and no in-house professional staff to perform an assessment. IAC assessment benefits include no cost to the clients, increased profitability and competitiveness, confidentiality, non-regulatory, nonobligatory, and student involvement.

b.K. Hodge; Mary C. Emplaincourt

2007-04-30T23:59:59.000Z

44

Hydrogen Codes and Standards  

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

Codes and Standards Codes and Standards James Ohi National Renewable Energy Laboratory 1617 Cole Blvd. Golden, CO 80401 Background The development and promulgation of codes and standards are essential if hydrogen is to become a significant energy carrier and fuel because codes and standards are critical to establishing a market-receptive environment for commercializing hydrogen-based products and systems. The Hydrogen, Fuel Cells, and Infrastructure Technologies Program of the U.S. Department of Energy (DOE) and the National Renewable Energy Laboratory (NREL), with the help of the National Hydrogen Association (NHA) and other key stakeholders, are coordinating a collaborative national effort by government and industry to prepare, review, and promulgate hydrogen codes and standards needed to expedite hydrogen infrastructure development. The

45

Understanding Classification  

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

n n n d d e e r r s s t t a a n n d d i i n n g g C C l l a a s s s s i i f f i i c c a a t t i i o o n n O O f f f f i i c c e e o o f f C C l l a a s s s s i i f f i i c c a a t t i i o o n n O O f f f f i i c c e e o o f f H H e e a a l l t t h h , , S S a a f f e e t t y y a a n n d d S S e e c c u u r r i i t t y y U U . . S S . . D D e e p p a a r r t t m m e e n n t t o o f f E E n n e e r r g g y y J J u u n n e e 2 2 0 0 1 1 2 2 1 Now that you have your clearance, you are likely to be working with classified information. As a result - * You may originate a document that must be reviewed for classification. * You may have a classified document that you want to have reviewed for declassification. * You may be reading a newspaper or magazine article and find information in it that appears to be classified. * You may encounter classified information you believe should NOT be classified. This booklet highlights your responsibilities identified in DOE Order

46

Information---Theoretic Multiclass Classification Based on Binary Classifiers  

Science Conference Proceedings (OSTI)

In this paper, we consider the multiclass classification problem based on sets of independent binary classifiers. Each binary classifier represents the output of a quantized projection of training data onto a randomly generated orthonormal basis vector ... Keywords: Classification, Coding matrix design, Complexity, Maximum number of classes, Reliability

Sviatoslav Voloshynovskiy; Oleksiy Koval; Fokko Beekhof; Taras Holotyak

2011-12-01T23:59:59.000Z

47

Montana Coal Mining Code (Montana)  

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

The Department of Labor and Industry is authorized to adopt rules pertaining to safety standards for all coal mines in the state. The Code requires coal mine operators to make an accurate map or...

48

Industrial Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Module. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

Kelly Perl

2013-05-14T23:59:59.000Z

49

Industrial Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Module. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

Kelly Perl

2013-09-30T23:59:59.000Z

50

Going Beyond Code | Building Energy Codes Program  

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

Going Beyond Code Beyond the energy codes are stretch, green, or sustainable codes and associated labeling programs. Codes are written to lend themselves to mandatory enforcement...

51

Updating the Classification of Geothermal Resources | Open Energy  

Open Energy Info (EERE)

Updating the Classification of Geothermal Resources Updating the Classification of Geothermal Resources Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Updating the Classification of Geothermal Resources Abstract Resource classification is a key element in the characterization, assessment and development of energy resources, including geothermal energy. Stakeholders at all levels of government, within the geothermal industry, and among the general public need to be able to use and understand consistent terminology when addressing geothermal resource issues such as location, quality, feasibility of development, and potential impacts. This terminology must encompass both the fundamentally geological nature of geothermal resources and the practical technological and economic

52

Top 10 Reasons for Energy Codes | Building Energy Codes Program  

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

Top 10 Reasons for Energy Codes Top 10 Reasons for Energy Codes The projected energy savings attributable to energy codes translates into an estimated cumulative savings of 800 million metric tons of carbon dioxide by 2030-that's equivalent to removing 145 million vehicles from our nation's roadways. Here are the top 10 reasons for adopting and implementing energy codes. Today's global energy, economic, and environmental challenges necessitate a U.S. strategy identifying a suite of energy-efficiency-related initiatives that is implemented by the building industry and relevant stakeholders. Energy codes are a core component of that strategy and, in addition, have an impact on other strategies to improve our built environment. Energy Codes... SAVE money and help reduce needless consumption of energy to heat,

53

Security classification of information  

Science Conference Proceedings (OSTI)

This document is the second of a planned four-volume work that comprehensively discusses the security classification of information. The main focus of Volume 2 is on the principles for classification of information. Included herein are descriptions of the two major types of information that governments classify for national security reasons (subjective and objective information), guidance to use when determining whether information under consideration for classification is controlled by the government (a necessary requirement for classification to be effective), information disclosure risks and benefits (the benefits and costs of classification), standards to use when balancing information disclosure risks and benefits, guidance for assigning classification levels (Top Secret, Secret, or Confidential) to classified information, guidance for determining how long information should be classified (classification duration), classification of associations of information, classification of compilations of information, and principles for declassifying and downgrading information. Rules or principles of certain areas of our legal system (e.g., trade secret law) are sometimes mentioned to .provide added support to some of those classification principles.

Quist, A.S.

1993-04-01T23:59:59.000Z

54

Poultry Industry: Industry Brief  

Science Conference Proceedings (OSTI)

This Electric Power Research Institute (EPRI) Industry Brief provides an overview of the U.S. poultry industry and ways in which electric-powered processes and technologies can be used in poultry and egg production and processing. The poultry industry, which consists of poultry production for meat as well as egg production and processing, is one of the fastest growing segments of the U.S. food manufacturing industry. It is also an energy-intensive industry. In fact, a 2010 report by the USDA illustrates ...

2011-03-30T23:59:59.000Z

55

Department Codes  

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

Department Codes Department Codes Code Organization BO Bioscience Department BU Business Development & Analysis Office DI Business Operations NC Center for Functional Nanomaterials CO Chemistry Department AD Collider Accelerator Department PA Community, Education, Government and Public Affairs CC Computational Science Center PM Condensed Matter Physics and Materials Science Department CI Counterintelligence AE Department of Energy DC Directorate - Basic Energy Sciences DK Directorate - CEGPA DE Directorate - Deputy Director for Operations DO Directorate - Director's Office DH Directorate - Environment, Safety and Health DF Directorate - Facilities and Operations DA Directorate - Global and Regional Solutions DB Directorate - Nuclear and Particle Physics DL Directorate - Photon Sciences

56

Building Technologies Office: Advancing Building Energy Codes  

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

Advancing Building Energy Codes Advancing Building Energy Codes The Building Technologies Office (BTO) supports greater adoption of residential and commercial building energy codes through collaborative efforts with local governments and industry groups, and by providing key tools and assistance for code development, adoption, and implementation. Through advancing building codes, we aim to improve building energy efficiency by 50%, and to help states achieve 90% compliance with their energy codes. 75% of U.S. Buildings will be New or Renovated by 2035, Building Codes will Ensure They Use Energy Wisely. Learn More 75% of U.S. Buildings will be New or Renovated by 2035; Building Codes will Ensure They Use Energy Wisely Learn More Energy Codes Ensure Efficiency in Buildings We offer guidance and technical resources to policy makers, compliance verification professionals, architects, engineers, contractors, and other stakeholders who depend on building energy codes.

57

EPRI Staff ASME Code Support 2010  

Science Conference Proceedings (OSTI)

The ASME codes and standards for boilers and pressure vessels govern the design, construction, and maintenance of pressure-retaining equipment. ASME codes apply to pressure vessels throughout several industries. The primary goal of these codes is to protect the public from pressure boundary failures. Changes can be made to existing ASME codes under a number of conditions, such as when rules are too conservative or not conservative enough, when alternative repair or construction methods are developed, or ...

2011-04-29T23:59:59.000Z

58

Classification Training Institute, 2013 Course Catelog  

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

Classification Classification Classification Training Institute 2013 Course Catalog 1 TABLE OF CONTENTS Introduction ................................................................................................................................... 2 Classification Level ....................................................................................................................... 2 Registration ................................................................................................................................... 2 Additional Information ................................................................................................................... 2 2013 Course Schedule and Locations .......................................................................................... 3

59

Kansas | Building Energy Codes Program  

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

Kansas Kansas Last updated on 2013-06-03 Commercial Residential Code Change Current Code None Statewide Amendments / Additional State Code Information The State has adopted the 2006 IECC as the applicable EE standard for commercial and industrial buildings in Kansas (KSA 66-1227). The same law also states that "the state corporation commission has no authority to adopt or enforce energy efficiency standards for residential, commercial, or industrial structures." Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Kansas (BECP Report, Sept. 2009) Effective Date 04/10/2007 Code Enforcement Voluntary DOE Determination ASHRAE 90.1-2007: No ASHRAE 90.1-2010: No Kansas DOE Determination Letter, May 31, 2013

60

Multidimensional data classification  

Science Conference Proceedings (OSTI)

This paper deals with the classification of objects into the limited number of classes. Objects are characterised by n-features, e.g. n-dimensional vectors describe them. The paper focuses on the Bayes classifier based on the probability principle, with ... Keywords: Bayes classifier, classification, decision rule, feature, fixed number of features, loss function, multispectral data

Dana Klimešová; Eva Ocelíková

2009-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial classification code" 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

Efficient highly over-complete sparse coding using a mixture model  

Science Conference Proceedings (OSTI)

Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data into a significantly higher-dimensional space with sparse coding can ... Keywords: PASCAL VOC challenge, highly over-complete dictionary training, image classification, mixture model, mixture sparse coding, sparse coding

Jianchao Yang; Kai Yu; Thomas Huang

2010-09-01T23:59:59.000Z

62

DOE LLW classification rationale  

Science Conference Proceedings (OSTI)

This report was about the rationale which the US Department of Energy had with low-level radioactive waste (LLW) classification. It is based on the Nuclear Regulatory Commission's classification system. DOE site operators met to review the qualifications and characteristics of the classification systems. They evaluated performance objectives, developed waste classification tables, and compiled dose limits on the waste. A goal of the LLW classification system was to allow each disposal site the freedom to develop limits to radionuclide inventories and concentrations according to its own site-specific characteristics. This goal was achieved with the adoption of a performance objectives system based on a performance assessment, with site-specific environmental conditions and engineered disposal systems.

Flores, A.Y.

1991-09-16T23:59:59.000Z

63

DOE LLW classification rationale  

Science Conference Proceedings (OSTI)

This report was about the rationale which the US Department of Energy had with low-level radioactive waste (LLW) classification. It is based on the Nuclear Regulatory Commission`s classification system. DOE site operators met to review the qualifications and characteristics of the classification systems. They evaluated performance objectives, developed waste classification tables, and compiled dose limits on the waste. A goal of the LLW classification system was to allow each disposal site the freedom to develop limits to radionuclide inventories and concentrations according to its own site-specific characteristics. This goal was achieved with the adoption of a performance objectives system based on a performance assessment, with site-specific environmental conditions and engineered disposal systems.

Flores, A.Y.

1991-09-16T23:59:59.000Z

64

Advancing Building Energy Codes | Department of Energy  

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

You are here You are here Home » Advancing Building Energy Codes Advancing Building Energy Codes 75% of U.S. buildings will be new or renovated by 2035. Building codes will ensure they use energy wisely. 75% of U.S. buildings will be new or renovated by 2035. Building codes will ensure they use energy wisely. The Building Technologies Office (BTO) supports greater adoption of residential and commercial building energy codes through collaborative efforts with local governments and industry groups, and by providing key tools and assistance for code development, adoption, and implementation. Through advancing building codes, we aim to improve building energy efficiency by 50%, and to help states achieve 90% compliance with their energy codes. Energy Codes Ensure Efficiency in Buildings

65

Dairy Industry: Industry Brief  

Science Conference Proceedings (OSTI)

This Electric Power Research Institute (EPRI) Industry Brief provides an overview of the U.S. dairy industry and ways in which electric-powered processes and technologies can be used in milk production and processing. Because of the different processes involved, the characteristics of energy consumption at milk production and processing facilities vary by facility. Most energy used in milk production is in the form of diesel fuel, followed by electricity and then by petroleum products such as gasoline an...

2011-03-30T23:59:59.000Z

66

"Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"  

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

2.4 Relative Standard Errors for Table 2.4;" 2.4 Relative Standard Errors for Table 2.4;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," ",," " " "," ","Any Combustible" "NAICS"," ","Energy","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",27.5,"X",42,39.5,62,"X",0,9.8

67

"Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"  

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

3.4 Relative Standard Errors for Table 3.4;" 3.4 Relative Standard Errors for Table 3.4;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)" ,,"Total United States"

68

" Row: NAICS Codes (3-Digit Only); Column...  

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

l","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Fact...

69

" Row: NAICS Codes; Column: Energy Sources...  

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

and",,"Coke and"," ","of Energy Sources","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","...

70

" Row: NAICS Codes; Column: Energy Sources...  

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

sidual","Distillate",,"LPG and",,"Coke and",,"of Energy Sources" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural...

71

" Row: NAICS Codes; Column: Energy Sources...  

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

","Row" "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors" ,,"Total United States" ,"RSE...

72

National Agenda for Hydrogen Codes and Standards  

SciTech Connect

This paper provides an overview of hydrogen codes and standards with an emphasis on the national effort supported and managed by the U.S. Department of Energy (DOE). With the help and cooperation of standards and model code development organizations, industry, and other interested parties, DOE has established a coordinated national agenda for hydrogen and fuel cell codes and standards. With the adoption of the Research, Development, and Demonstration Roadmap and with its implementation through the Codes and Standards Technical Team, DOE helps strengthen the scientific basis for requirements incorporated in codes and standards that, in turn, will facilitate international market receptivity for hydrogen and fuel cell technologies.

Blake, C.

2010-05-01T23:59:59.000Z

73

Industrial Assessments and Why Your Plant Should Have One  

E-Print Network (OSTI)

The "in-depth" assessment of a plant site and its facilities, services and manufacturing operations can help you make your plant cleaner, more productive and more energy efficient. This paper discusses the components of a successful assessment, what you can expect, and how you can benefit. The U.S. Department of Energy (DOE) Industrial Assessment Center Program, its track record and its approach, are described in some detail -including the criteria for receiving an assessment through the Program. The authors also identify and describe other good sources of industrial assessment assistance- such as utilities, state offices, trade and professional associations and local engineering schools. Also described are ways to use your in-house staff and, if you are a multi-plant company, peer reviews to conduct assessments. To further help you with the assessment process, a variety of tools and programs that you can easily access are described. The paper also provides information on a range of related resources including: programs which focus on specific technologies like motors or steam/compressed air; databases with specific assessment recommendations by Standard Industrial Classification (SIC) Code that you can access; self assessment workbooks and manuals; programs which offer grants (on a competitive basis) for new demonstrations of clean industrial technologies; software programs; guidelines, and more.

Glaser, C. J.; Demetrops, J. P.

1998-04-01T23:59:59.000Z

74

Projective Plane And Planar Quantum Codes  

E-Print Network (OSTI)

Cellulations of the projective plane RP 2 define single qubit topological quantum error correcting codes since there is a unique essential cycle in H 1 (RP 2 ; Z 2 ). We construct three of the smallest such codes, show they are inequivalent, and identify one of them as Shor's original 9 qubit repetition code. We observe that Shor's code can be constructed in a planar domain and generalize to planar constructions of higher genus codes for multiple qubits. PACS numbers: 03.67.Lx, 89.70.+c, 89.80.+h. AMS subject classification: 94Bxx, 81P99, 57M20. KEY WORDS: topological code, quantum error correction, planar code. Projective plane and planar quantum codes Freedman & Meyer Kitaev has constructed a class of quantum error correcting codes using qubits arranged on the edges of square lattices embedded in the two dimensional torus [1]. While these toric codes are not particularly efficient---they do not come close to saturating the quantum Hamming bound [2]---they are nevertheless inte...

Michael H. Freedman; David A. Meyer

1998-01-01T23:59:59.000Z

75

Green Building Codes | Building Energy Codes Program  

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

Green Building Codes Green Building Codes Green building codes go beyond minimum code requirements, raising the bar for energy efficiency. They can serve as a proving ground for future standards, and incorporate elements beyond the scope of the model energy codes, such as water and resource efficiency. As regional and national green building codes and programs become more available, they provide jurisdictions with another tool for guiding construction and development in an overall less impactful, more sustainable manner. ICC ASHRAE Beyond Codes International Green Construction Code (IgCC) The International Code Council's (ICC's) International Green Construction code (IgCC) is an overlay code, meaning it is written in a manner to be used with all the other ICC codes. The IgCC contains provisions for site

76

Classification of co-expressed genes from DNA regulatory regions  

Science Conference Proceedings (OSTI)

The analysis of non-coding DNA regulatory regions is one of the most challenging open problems in computational biology. In this paper we investigate whether we can predict functional information about genes by using information extracted from their ... Keywords: Combinatorial and machine learning methods integration, Gene classification, Gene expression and bio-sequence data integration, Motif extraction and selection

Giulio Pavesi; Giorgio Valentini

2009-07-01T23:59:59.000Z

77

Residential Code Development | Building Energy Codes Program  

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

Residential Code Development Subscribe to updates To receive news and updates about code development activities subscribe to the BECP Mailing List. The model residential building...

78

Residential Code Methodology | Building Energy Codes Program  

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

& Offices Consumer Information Building Energy Codes Search Search Search Help Building Energy Codes Program Home News Events About DOE EERE BTO BECP Site Map...

79

" Generation by Census Region, Industry Group, Selected Industries, Presence of"  

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

4. Total Inputs of Energy for Heat, Power, and Electricity" 4. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, Presence of" " General Technologies, and Industry-Specific Technologies for Selected" " Industries, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.3,1,0.9,1.3

80

Introduction to Classification  

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

3 3 This briefing provides an introduction to classified information. 2 Introduction to Classified Information April 2013 3 What is classification?  Classification is how we identify certain information that needs to be protected in the interest of national security.  DOE has a formal process for classifying and declassifying information, documents, and materials. 4 Restricted Data (RD) Formerly Restricted Data (FRD) What information is classified? Atomic Energy Act Implemented by 10 CFR part 1045 Executive Order 13526 Implemented by 32 CFR part 2001 National Security Information (NSI) 5 Transclassified Foreign Nuclear Information (TFNI) Authority Classified Information Category 6 Restricted Data  The Atomic Energy Act defines "Restricted

Note: This page contains sample records for the topic "industrial classification code" 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

DOE Code:  

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

we1rbox installatiOn we1rbox installatiOn ____:....;...=.~;;....:..;=-+- DOE Code: - - !- Project Lead: Wes R1esland NEPA COMPLIANCE SURVEY J 3-24-10 1 Date: Project Information 1. Project Overview What are tne enwonmental mpacts? Contractor~~ _ _ _ _ ] 11 The purpose of this project is to prepare a pad for a 90 ton crane to get 1nto positiOn and ng up so we can 1 set our new weir box into position We will widen the existing road around 20 feet at the north end and taper our fill to about5 feet at the south end for a total of about 200 feeL and budd a near level pad for them tong up the crane on We will use the d1rt from the hill irnrnedJateiy north of the work to oe done 2. 3 4 What*s the legal location? What IS the durabon of the prOJed?

82

Carbon Emissions: Paper Industry  

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

Paper Industry Paper Industry Carbon Emissions in the Paper Industry The Industry at a Glance, 1994 (SIC Code: 26) Total Energy-Related Emissions: 31.6 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 8.5% Total First Use of Energy: 2,665 trillion Btu -- Pct. of All Manufacturers: 12.3% -- Pct. Renewable Energy: 47.7% Carbon Intensity: 11.88 MMTC per quadrillion Btu Renewable Energy Sources (no net emissions): -- Pulping liquor: 882 trillion Btu -- Wood chips and bark: 389 trillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 31.6 Net Electricity 11.0

83

Carbon Emissions: Food Industry  

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

Food Industry Food Industry Carbon Emissions in the Food Industry The Industry at a Glance, 1994 (SIC Code: 20) Total Energy-Related Emissions: 24.4 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 6.6% Total First Use of Energy: 1,193 trillion Btu -- Pct. of All Manufacturers: 5.5% Carbon Intensity: 20.44 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 24.4 Net Electricity 9.8 Natural Gas 9.1 Coal 4.2 All Other Sources 1.3 Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998

84

Carbon Emissions: Chemicals Industry  

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

Chemicals Industry Chemicals Industry Carbon Emissions in the Chemicals Industry The Industry at a Glance, 1994 (SIC Code: 28) Total Energy-Related Emissions: 78.3 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 21.1% -- Nonfuel Emissions: 12.0 MMTC Total First Use of Energy: 5,328 trillion Btu -- Pct. of All Manufacturers: 24.6% Energy Sources Used As Feedstocks: 2,297 trillion Btu -- LPG: 1,365 trillion Btu -- Natural Gas: 674 trillion Btu Carbon Intensity: 14.70 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 78.3 Natural Gas 32.1

85

Coding-error based defects in enterprise resource planning software: Prevention, discovery, elimination and mitigation  

Science Conference Proceedings (OSTI)

Software defects due to coding errors continue to plague the industry with disastrous impact, especially in the enterprise application software category. Identifying how much of these defects are specifically due to coding errors is a challenging problem. ... Keywords: Code auditing, Coding defects, Defect density, Defect reduction, ERP, Software development, Software testing, Static code analysis

Isaac Woungang; Felix O. Akinladejo; David W. White; Mohammad S. Obaidat

2012-07-01T23:59:59.000Z

86

Fuzzy theory applied in quality management of distributed manufacturing system: A literature review and classification  

Science Conference Proceedings (OSTI)

Fuzzy theory has been regarded as a very important technique for quality management (QM) of distributed manufacturing system and attracts the attentions of academic and industry; however, there is a lack of a comprehensive literature review and a classification ... Keywords: Classification, Clustering analysis, Distributed manufacturing network, Fuzzy theory, Quality management

Lv Yaqiong; Lee Ka Man; Wu Zhang

2011-03-01T23:59:59.000Z

87

Design of an automatic wood types classification system by using fluorescence spectra  

Science Conference Proceedings (OSTI)

The classification of wood types is needed in many industrial sectors, since it can provide relevant information concerning the features and characteristics of the final product (appearance, cost,mechanical properties, etc.). This analysis is typical ... Keywords: automatic spectra analysis, automatic wood classification, computational intelligence

Vincenzo Piuri; Fabio Scotti

2010-05-01T23:59:59.000Z

88

Data envelopment analysis classification machine  

Science Conference Proceedings (OSTI)

This paper establishes the equivalent relationship between the data classification machine and the data envelopment analysis (DEA) model, and thus build up a DEA based classification machine. A data is characterized by a set of values. Without loss of ... Keywords: Classification machine, Data envelopment analysis, Preference cone

Hong Yan; Quanling Wei

2011-11-01T23:59:59.000Z

89

Oil and Gas Field Code Master List 1995  

Reports and Publications (EIA)

The Oil and Gas Field Code Master List 1995 is the fourteenth annual listing of all identified oil and gasfields in the United States. It is updated with field information collected through October 1995. The purpose of this publication is to provide unique, standardized codes for identification of domestic fields. Use of these field codes fosters consistency of field identification by government and industry.

Robert F. King

1995-12-01T23:59:59.000Z

90

Oil and Gas Field Code Master List 1996  

Reports and Publications (EIA)

The Oil and Gas Field Code Master List 1996 is the fifteenth annual listing of all identified oil and gasfields in the United States. It is updated with field information collected through October 1996. The purpose of this publication is to provide unique, standardized codes for identification of domestic fields. Use of these field codes fosters consistency of field identification by government and industry.

Robert F. King

1996-12-01T23:59:59.000Z

91

"Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"  

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

4.4 Relative Standard Errors for Table 4.4;" 4.4 Relative Standard Errors for Table 4.4;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy",,"Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)" ,,"Total United States" , 311,"Food",0.4,0.4,19.4,9,2,6.9,5.4,0,10.3

92

Soil Classification Using GATree  

E-Print Network (OSTI)

This paper details the application of a genetic programming framework for classification of decision tree of Soil data to classify soil texture. The database contains measurements of soil profile data. We have applied GATree for generating classification decision tree. GATree is a decision tree builder that is based on Genetic Algorithms (GAs). The idea behind it is rather simple but powerful. Instead of using statistic metrics that are biased towards specific trees we use a more flexible, global metric of tree quality that try to optimize accuracy and size. GATree offers some unique features not to be found in any other tree inducers while at the same time it can produce better results for many difficult problems. Experimental results are presented which illustrate the performance of generating best decision tree for classifying soil texture for soil data set.

Bhargavi, P

2010-01-01T23:59:59.000Z

93

Seismic event classification system  

DOE Patents (OSTI)

In the computer interpretation of seismic data, the critical first step is to identify the general class of an unknown event. For example, the classification might be: teleseismic, regional, local, vehicular, or noise. Self-organizing neural networks (SONNs) can be used for classifying such events. Both Kohonen and Adaptive Resonance Theory (ART) SONNs are useful for this purpose. Given the detection of a seismic event and the corresponding signal, computation is made of: the time-frequency distribution, its binary representation, and finally a shift-invariant representation, which is the magnitude of the two-dimensional Fourier transform (2-D FFT) of the binary time-frequency distribution. This pre-processed input is fed into the SONNs. These neural networks are able to group events that look similar. The ART SONN has an advantage in classifying the event because the types of cluster groups do not need to be pre-defined. The results from the SONNs together with an expert seismologist's classification are then used to derive event classification probabilities. 21 figures.

Dowla, F.U.; Jarpe, S.P.; Maurer, W.

1994-12-13T23:59:59.000Z

94

Seismic event classification system  

DOE Patents (OSTI)

In the computer interpretation of seismic data, the critical first step is to identify the general class of an unknown event. For example, the classification might be: teleseismic, regional, local, vehicular, or noise. Self-organizing neural networks (SONNs) can be used for classifying such events. Both Kohonen and Adaptive Resonance Theory (ART) SONNs are useful for this purpose. Given the detection of a seismic event and the corresponding signal, computation is made of: the time-frequency distribution, its binary representation, and finally a shift-invariant representation, which is the magnitude of the two-dimensional Fourier transform (2-D FFT) of the binary time-frequency distribution. This pre-processed input is fed into the SONNs. These neural networks are able to group events that look similar. The ART SONN has an advantage in classifying the event because the types of cluster groups do not need to be pre-defined. The results from the SONNs together with an expert seismologist's classification are then used to derive event classification probabilities.

Dowla, Farid U. (Castro Valley, CA); Jarpe, Stephen P. (Brentwood, CA); Maurer, William (Livermore, CA)

1994-01-01T23:59:59.000Z

95

Codes 101 | Building Energy Codes Program  

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

Codes 101 Codes 101 This course covers basic knowledge of energy codes and standards, the development processes of each, historical timelines, adoption, implementation, and enforcement of energy codes and standards, and voluntary energy efficiency programs. Most sections have links that provide additional details on that section's topic as well as additional resources for more information. Begin Learning! Estimated Length: 1-2 hours CEUs Offered: 1.0 AIA/CES LU (HSW); .10 CEUs towards ICC renewal certification. Course Type: Self-paced, online Building Type: Commercial Residential Focus: Adoption Code Development Compliance Code Version: ASHRAE Standard 90.1 International Energy Conservation Code (IECC) Model Energy Code (MEC) Target Audience: Advocate Architect/Designer Builder

96

Industrial Buildings  

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

Industrial Industrial Industrial / Manufacturing Buildings Industrial/manufacturing buildings are not considered commercial, but are covered by the Manufacturing Energy Consumption Survey (MECS). See the MECS home page for further information. Commercial buildings found on a manufacturing industrial complex, such as an office building for a manufacturer, are not considered to be commercial if they have the same owner and operator as the industrial complex. However, they would be counted in the CBECS if they were owned and operated independently of the manufacturing industrial complex. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/industrial.html

97

Industrial Applications  

Science Conference Proceedings (OSTI)

Table 2   Frequently used rubber linings in other industries...Application Lining Power industry Scrubber towers Blended chlorobutyl Limestone slurry tanks Blended chlorobutyl Slurry piping Blended chlorobutyl 60 Shore A hardness natural rubber Seawater cooling water

98

Classification Training Institute Catalog | Department of Energy  

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

Services » Classification » Classification Training Institute » Services » Classification » Classification Training Institute » Classification Training Institute Catalog Classification Training Institute Catalog Classification Training Institute (CTI) Catalog Training & Reference Materials Online Classified or Controlled Information Mini-Lessons Classified Information Training Unclassified Controlled Nuclear Information Training Official Use Only Training OpenNet Training Training For Other Agency Personnel Classification Training Institute Catalog Enforcement Guidance Oversight Reporting Security Classification Classification Training Institute Official Use Only Information Unclassified Controlled Nuclear Information (UCNI) Statutes, Regulations, & Directives Nuclear Safety Assistance Training Outreach & Collaboration

99

Energy Savings in Industrial Buildings  

E-Print Network (OSTI)

The industrial sector accounts for more than one-third of total energy use in the United States and emits 28.7 percent of the country’s greenhouse gases. Energy use in the industrial sector is largely for steam and process heating systems, and electricity for equipment such as pumps, air compressors, and fans. Lesser, yet significant, amounts of energy are used for industrial buildings – heating, ventilation, and air conditioning (HVAC), lighting and facility use (such as office equipment). Due to economic growth, energy consumption in the industrial sector will continue to increase gradually, as will energy use in industrial buildings. There is a large potential for energy saving and carbon intensity reduction by improving HVAC, lighting, and other aspects of building operation and technologies. Analyses show that most of the technologies and measures to save energy in buildings would be cost-effective with attractive rates of return. First, this paper will investigate energy performance in buildings within the manufacturing sector, as classified in the North American Industry Classification System (NAICS). Energy use patterns for HVAC and lighting in industrial buildings vary dramatically across different manufacturing sectors. For example, food manufacturing uses more electricity for HVAC than does apparel manufacturing because of the different energy demand patterns. Energy saving opportunities and potential from industrial buildings will also be identified and evaluated. Lastly, barriers for deployment of energy savings technologies will be explored along with recommendations for policies to promote energy efficiency in industrial buildings.

Zhou, A.; Tutterow, V.; Harris, J.

2009-05-01T23:59:59.000Z

100

Industries Affected  

Science Conference Proceedings (OSTI)

Table 2   Industries affected by microbiologically influenced corrosion...generation: nuclear, hydro, fossil fuel,

Note: This page contains sample records for the topic "industrial classification code" 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

Changing Trends in the Bulk Chemicals and Pulp and Paper Industries (released in AEO2005)  

Reports and Publications (EIA)

Compared with the experience of the 1990s, rising energy prices in recent years have led to questions about expectations of growth in industrial output, particularly in energy-intensive industries. Given the higher price trends, a review of expected growth trends in selected industries was undertaken as part of the production of AEO2005. In addition, projections for the industrial value of shipments, which were based on the Standard Industrial Classification (SIC) system in AEO2004, are based on the North American Industry Classification System (NAICS) in AEO2005. The change in industrial classification leads to lower historical growth rates for many industrial sectors. The impacts of these two changes are highlighted in this section for two of the largest energy-consuming industries in the U.S. industrial sectorbulk chemicals and pulp and paper.

Information Center

2005-02-01T23:59:59.000Z

102

Buildings Energy Data Book: 2.7 Industrialized Housing (IH)  

Buildings Energy Data Book (EERE)

5 2004 Number of Industrialized Housing Manufacturers Versus Production (Stick-Builders) Companies Type Panelized Modular (1) HUD-Code Production Builders Component Manufacturers...

103

Quantum error control codes  

E-Print Network (OSTI)

It is conjectured that quantum computers are able to solve certain problems more quickly than any deterministic or probabilistic computer. For instance, Shor's algorithm is able to factor large integers in polynomial time on a quantum computer. A quantum computer exploits the rules of quantum mechanics to speed up computations. However, it is a formidable task to build a quantum computer, since the quantum mechanical systems storing the information unavoidably interact with their environment. Therefore, one has to mitigate the resulting noise and decoherence effects to avoid computational errors. In this dissertation, I study various aspects of quantum error control codes - the key component of fault-tolerant quantum information processing. I present the fundamental theory and necessary background of quantum codes and construct many families of quantum block and convolutional codes over finite fields, in addition to families of subsystem codes. This dissertation is organized into three parts: Quantum Block Codes. After introducing the theory of quantum block codes, I establish conditions when BCH codes are self-orthogonal (or dual-containing) with respect to Euclidean and Hermitian inner products. In particular, I derive two families of nonbinary quantum BCH codes using the stabilizer formalism. I study duadic codes and establish the existence of families of degenerate quantum codes, as well as families of quantum codes derived from projective geometries. Subsystem Codes. Subsystem codes form a new class of quantum codes in which the underlying classical codes do not need to be self-orthogonal. I give an introduction to subsystem codes and present several methods for subsystem code constructions. I derive families of subsystem codes from classical BCH and RS codes and establish a family of optimal MDS subsystem codes. I establish propagation rules of subsystem codes and construct tables of upper and lower bounds on subsystem code parameters. Quantum Convolutional Codes. Quantum convolutional codes are particularly well-suited for communication applications. I develop the theory of quantum convolutional codes and give families of quantum convolutional codes based on RS codes. Furthermore, I establish a bound on the code parameters of quantum convolutional codes - the generalized Singleton bound. I develop a general framework for deriving convolutional codes from block codes and use it to derive families of non-catastrophic quantum convolutional codes from BCH codes. The dissertation concludes with a discussion of some open problems.

Abdelhamid Awad Aly Ahmed, Sala

2008-05-01T23:59:59.000Z

104

State Building Code  

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

Adoption Updated: 121708 - 1 - Code Adoption Process Checklist Para-Technical Adoption of Code Effective Date Responsible Chief Policy Analyst Support Staff: Boards Coordinator...

105

Industry @ ALS  

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

Industry @ ALS Industry @ ALS Industry @ ALS Concrete Industry Benefits from Ancient Romans and the ALS Print Thursday, 17 October 2013 14:24 New insights into the Romans' ingenious concrete harbor structures emerging from ALS beamline research could move the modern concrete industry toward its goal of a reduced carbon footprint. Summary Slide Read more... Moving Industry Forward: Finding the Environmental Opportunity in Biochar Print Thursday, 12 September 2013 08:41 Using ALS Beamlines 10.3.2 and 8.3.2, the Environmental Protection Agency (EPA) is currently investigating how biochar sorbs environmental toxins and which kinds of biochar are the most effective. The possibilities for widespread use have already launched entrepreneurial commercial ventures. Summary Slide

106

Building Energy Codes ENFORCEMENT TOOLKIT BUILDING TECHNOLOGIES PROGRAM  

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

ENFORCEMENT TOOLKIT ENFORCEMENT TOOLKIT BUILDING TECHNOLOGIES PROGRAM Building Energy Codes ACE LEARNING SERIES i Building Energy Codes ENFORCEMENT TOOLKIT Prepared by: Building Energy Codes Program The U.S. Department of Energy's Building Energy Codes Program is an information resource on energy codes and standards for buildings. They work with other government agencies, state and local jurisdictions, organizations that develop model codes and standards, and building industry to promote codes that will provide for energy and environmental benefits and help foster adoption of, compliance with, and enforcement of those codes. September 2012 Prepared for the U.S. Department of Energy under Contract DE-AC05-76RL01830 PNNL-SA-90467 LEARNING SERIES OVERVIEW Building Energy Codes ACE

107

Building Energy Codes COMPLIANCE TOOLKIT BUILDING TECHNOLOGIES PROGRAM  

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

COMPLIANCE TOOLKIT COMPLIANCE TOOLKIT BUILDING TECHNOLOGIES PROGRAM Building Energy Codes ACE LEARNING SERIES III Building Energy Codes COMPLIANCE TOOLKIT Prepared by: Building Energy Codes Program (BECP) The U.S. Department of Energy's (DOE) Building Energy Codes Program (BECP) is an information resource on energy codes and standards for buildings. They work with other government agencies, state and local jurisdictions, organizations that develop model codes and standards, and building industry to promote codes that will provide for energy and environmental benefits and help foster adoption of, compliance with, and enforcement of those codes. September 2012 Prepared for the U.S. Department of Energy under Contract DE-AC05-76RL01830 PNNL-SA-90466 LEARNING SERIES OVERVIEW Building Energy Codes

108

Building Energy Codes ADOPTION TOOLKIT BUILDING TECHNOLOGIES PROGRAM  

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

ADOPTION TOOLKIT ADOPTION TOOLKIT BUILDING TECHNOLOGIES PROGRAM Building Energy Codes ACE LEARNING SERIES I Building Energy Codes ADOPTION TOOLKIT Prepared by: Building Energy Codes Program (BECP) The U.S. Department of Energy's (DOE) Building Energy Codes Program (BECP) is an information resource on energy codes and standards for buildings. They work with other government agencies, state and local jurisdictions, organizations that develop model codes and standards, and building industry to promote codes that will provide for energy and environmental benefits and help foster adoption of, compliance with, and enforcement of those codes. September 2012 Prepared for the U.S. Department of Energy under Contract DE-AC05-76RL01830 PNNL-SA-89963 LEARNING SERIES OVERVIEW Building Energy Codes

109

Report on a workshop concerning code validation  

DOE Green Energy (OSTI)

The design of wind turbine components is becoming more critical as turbines become lighter and more dynamically active. Computer codes that will reliably predict turbine dynamic response are, therefore, more necessary than before. However, predicting the dynamic response of very slender rotating structures that operate in turbulent winds is not a simple matter. Even so, codes for this purpose have been developed and tested in North America and in Europe, and it is important to disseminate information on this subject. The purpose of this workshop was to allow those involved in the wind energy industry in the US to assess the progress invalidation of the codes most commonly used for structural/aero-elastic wind turbine simulation. The theme of the workshop was, ``How do we know it`s right``? This was the question that participants were encouraged to ask themselves throughout the meeting in order to avoid the temptation of presenting information in a less-than-critical atmosphere. Other questions posed at the meeting are: What is the proof that the codes used can truthfully represent the field data? At what steps were the codes tested against known solutions, or against reliable field data? How should the designer or user validate results? What computer resources are needed? How do codes being used in Europe compare with those used in the US? How does the code used affect industry certification? What can be expected in the future?

NONE

1996-12-01T23:59:59.000Z

110

On Classification with Incomplete Data  

Science Conference Proceedings (OSTI)

We address the incomplete-data problem in which feature vectors to be classified are missing data (features). A (supervised) logistic regression algorithm for the classification of incomplete data is developed. Single or multiple imputation for the missing ... Keywords: Classification, incomplete data, missing data, supervised learning, semisupervised learning, imperfect labeling.

David Williams; Xuejun Liao; Ya Xue; Lawrence Carin; Balaji Krishnapuram

2007-03-01T23:59:59.000Z

111

Taking advantage of models for legal classification  

Science Conference Proceedings (OSTI)

Legal reasoning is often couched in terms of legal classification. We examine how three models of classification — Classical, Probabilistic and Exemplar — are used to perform legal classification. We argue that all three models of ...

D. B. Skalak

1989-05-01T23:59:59.000Z

112

Glossary | Building Energy Codes Program  

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

Glossary Glossary Site Map Printable Version Development Adoption Compliance Regulations Resource Center FAQs Publications Resource Guides eLearning Model Policies Glossary Related Links ACE Learning Series Utility Savings Estimators Glossary The following is a compilation of building energy-code related terms and acronyms used on the Building Energy Codes website and throughout the building construction industry. Select a letter to navigate through the glossary: Filter A (25) B (22) C (41) D (27) E (27) F (15) G (12) H (21) I (20) K (5) L (11) M (16) N (15) O (11) P (21) R (22) S (37) T (14) U (12) V (11) W (10) Z (1) AAMA Architectural Aluminum Manufacturers Association. Above-Grade Wall A wall that is not a below-grade wall. Above-Grade Walls Those walls (Section 802.2.1) on the exterior of the building and

113

" Census Region, Census Division, Industry Group, and Selected Industries, 1994"  

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

Quantity of Purchased Electricity and Steam by Type of Supplier," Quantity of Purchased Electricity and Steam by Type of Supplier," " Census Region, Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Btu or Physical Units)" ,," Electricity",," Steam" ,," (million kWh)",," (billion Btu)" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

114

Remote-Handled Transuranic Content Codes  

SciTech Connect

The Remote-Handled Transuranic (RH-TRU) Content Codes (RH-TRUCON) document representsthe development of a uniform content code system for RH-TRU waste to be transported in the 72-Bcask. It will be used to convert existing waste form numbers, content codes, and site-specificidentification codes into a system that is uniform across the U.S. Department of Energy (DOE) sites.The existing waste codes at the sites can be grouped under uniform content codes without any lossof waste characterization information. The RH-TRUCON document provides an all-encompassing|description for each content code and compiles this information for all DOE sites. Compliance withwaste generation, processing, and certification procedures at the sites (outlined in this document foreach content code) ensures that prohibited waste forms are not present in the waste. The contentcode gives an overall description of the RH-TRU waste material in terms of processes and|packaging, as well as the generation location. This helps to provide cradle-to-grave traceability ofthe waste material so that the various actions required to assess its qualification as payload for the72-B cask can be performed. The content codes also impose restrictions and requirements on themanner in which a payload can be assembled.The RH-TRU Waste Authorized Methods for Payload Control (RH-TRAMPAC), Appendix 1.3.7of the 72-B Cask Safety Analysis Report (SAR), describes the current governing procedures|applicable for the qualification of waste as payload for the 72-B cask. The logic for this|classification is presented in the 72-B Cask SAR. Together, these documents (RH-TRUCON,|RH-TRAMPAC, and relevant sections of the 72-B Cask SAR) present the foundation and|justification for classifying RH-TRU waste into content codes. Only content codes described in thisdocument can be considered for transport in the 72-B cask. Revisions to this document will be madeas additional waste qualifies for transport. |Each content code uniquely identifies the generated waste and provides a system for tracking theprocess and packaging history. Each content code begins with a two-letter site abbreviation thatindicates the shipper of the RH-TRU waste. The site-specific letter designations for each of the|DOE sites are provided in Table 1. Not all of the sites listed in Table 1 have generated/stored RH-|TRU waste.

Washington TRU Solutions

2001-08-01T23:59:59.000Z

115

Catalog, Classification Training Institute | Department of Energy  

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

Catalog, Classification Training Institute Catalog, Classification Training Institute Catalog, Classification Training Institute December 2012 2013 Classification Training Course Catalog. To ensure that all classification and declassification decisions are based on these principles, the Office of Classification has undertaken the establishment and maintenance of a comprehensive classification and declassification education program. The training and education program is perpetually evolving with new courses and special briefings as events dictate. Basic courses that are in constant demand are described in this course catalog. Other more specialized courses and briefings have been developed and are available on an "as needed" basis. Classification Training Institute (CTI) 2013 Catalog can be viewed below:

116

Catalog, Classification Training Institute | Department of Energy  

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

Catalog, Classification Training Institute Catalog, Classification Training Institute Catalog, Classification Training Institute December 2012 2013 Classification Training Course Catalog. To ensure that all classification and declassification decisions are based on these principles, the Office of Classification has undertaken the establishment and maintenance of a comprehensive classification and declassification education program. The training and education program is perpetually evolving with new courses and special briefings as events dictate. Basic courses that are in constant demand are described in this course catalog. Other more specialized courses and briefings have been developed and are available on an "as needed" basis. Classification Training Institute (CTI) 2013 Catalog can be viewed below:

117

"Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)"  

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

1.4 Relative Standard Errors for Table 1.4;" 1.4 Relative Standard Errors for Table 1.4;" " Unit: Percents." ,,"Any",,,,,,,,,"Shipments" "NAICS",,"Energy","Net","Residual","Distillate",,"LPG and",,"Coke and",,"of Energy Sources" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)" ,,"Total United States" 311,"Food",0.4,0.4,19.4,8.9,2,6.9,5.4,0,10.1,9.1 3112," Grain and Oilseed Milling",0,0,21.1,14.7,8.4,13.3,7.9,"X",17.9,9.1

118

Entity State Code Class of Ownership Residential Commercial...  

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

Code Class of Ownership Residential Commercial Industrial Transportation All Sectors DTE Energy Services AL Non-Utility - - 458,868 - 458,868 Riceland Foods Inc. AR Non-Utility -...

119

" by Census Region, Census Division, Industry Group, Selected Industries, and"  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 1" " (Estimates in Trillion Btu)" ,,,," Census Region",,,,,,,"Census Division",,,,,"RSE" "SIC"," ",,,,,,,"Middle","East North","West North","South","East South","West South",,,"Row" "Code(a)","Industry Group and Industry","Total","Northeast","Midwest","South","West","New England","Atlantic","Central","Central","Atlantic","Central","Central","Mountain","Pacific","Factors"

120

Building Energy Code  

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

''Much of the information presented in this summary is drawn from the U.S. Department of Energy’s (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more...

Note: This page contains sample records for the topic "industrial classification code" 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

Active code completion  

Science Conference Proceedings (OSTI)

Code completion menus have replaced standalone API browsers for most developers because they are more tightly integrated into the development workflow. Refinements to the code completion menu that incorporate additional sources of information have similarly ...

Cyrus Omar; YoungSeok Yoon; Thomas D. LaToza; Brad A. Myers

2012-06-01T23:59:59.000Z

122

Model Building Energy Code  

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

''Much of the information presented in this summary is drawn from the U.S. Department of Energy’s (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more...

123

INTERNATIONAL CODE COUNCIL  

Science Conference Proceedings (OSTI)

... EE concepts / practices Page 8. IGCC Code Development Timeline ... Board modification) Page 9. IGCC Subject Areas 1. Energy use efficiency- ...

2012-10-14T23:59:59.000Z

124

Final Technical Report: Hydrogen Codes and Standards Outreach  

DOE Green Energy (OSTI)

This project contributed significantly to the development of new codes and standards, both domestically and internationally. The NHA collaborated with codes and standards development organizations to identify technical areas of expertise that would be required to produce the codes and standards that industry and DOE felt were required to facilitate commercialization of hydrogen and fuel cell technologies and infrastructure. NHA staff participated directly in technical committees and working groups where issues could be discussed with the appropriate industry groups. In other cases, the NHA recommended specific industry experts to serve on technical committees and working groups where the need for this specific industry expertise would be on-going, and where this approach was likely to contribute to timely completion of the effort. The project also facilitated dialog between codes and standards development organizations, hydrogen and fuel cell experts, the government and national labs, researchers, code officials, industry associations, as well as the public regarding the timeframes for needed codes and standards, industry consensus on technical issues, procedures for implementing changes, and general principles of hydrogen safety. The project facilitated hands-on learning, as participants in several NHA workshops and technical meetings were able to experience hydrogen vehicles, witness hydrogen refueling demonstrations, see metal hydride storage cartridges in operation, and view other hydrogen energy products.

Hall, Karen I.

2007-05-12T23:59:59.000Z

125

Locally Testable Cyclic Codes  

Science Conference Proceedings (OSTI)

Cyclic linear codes of block length n over a finite field \\mathbb{F}_qare the linear subspace of \\mathbb{F}_{_q }^n that are invariant under a cyclic shift of their coordinates. A family of codes is good if all the codes in the family have constant rate ...

Lászl Babai; Amir Shpilka; Daniel Štefankovic

2003-10-01T23:59:59.000Z

126

Informal Control code logic  

E-Print Network (OSTI)

General definitions as well as rules of reasoning regarding control code production, distribution, deployment, and usage are described. The role of testing, trust, confidence and risk analysis is considered. A rationale for control code testing is sought and found for the case of safety critical embedded control code.

Bergstra, Jan A

2010-01-01T23:59:59.000Z

127

" Row: NAICS Codes; Column: Electricity Components;"  

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

1 Electricity: Components of Net Demand, 2002;" 1 Electricity: Components of Net Demand, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,"Total ","Sales and","Net Demand","RSE" "NAICS"," ",,"Transfers ","Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases"," In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

128

" Row: NAICS Codes; Column: Energy Sources;"  

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

2. Fuel Consumption, 1998;" 2. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

129

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2010;" 2 Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," " " "," " "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

130

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

2. Fuel Consumption, 1998;" 2. Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "SIC"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Major Group and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

131

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2002;" 2 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

132

" Row: NAICS Codes; Column: Electricity Components;"  

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

1. Electricity: Components of Net Demand, 1998;" 1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,,"Sales and","Net Demand","RSE" "NAICS"," ",,,"Total Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

133

Text structure-aware classification  

E-Print Network (OSTI)

Bag-of-words representations are used in many NLP applications, such as text classification and sentiment analysis. These representations ignore relations across different sentences in a text and disregard the underlying ...

Dzunic, Zoran, S.M. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

134

Cloud Classification Before Luke Howard  

Science Conference Proceedings (OSTI)

A brief outline of the history of cloud painting prior to the first cloud classification schemes of Luke Howard and Lamarck is presented. It is shown that European painters had accurately represented most of the different cloud forms between ...

Stanely David Gedzelman

1989-04-01T23:59:59.000Z

135

Oil and Gas Field Code Master List 1997  

Reports and Publications (EIA)

The Oil and Gas Field Code Master List 1997 is the seventeenth annual listing of all identified oil and gas fields in the United States. It is updated with field information collected through October 1997. The purpose of this publication is to provide unique, standardized codes for identification of domestic fields. Use of these field codes fosters consistency of field identification by government and industry.

Robert F. King

1998-02-01T23:59:59.000Z

136

Oil and Gas Field Code Master List 1998  

Reports and Publications (EIA)

The Oil and Gas Field Code Master List 1998 is the eighteenth annual listing of all identified oil and gas fields in the United States. It is updated with field information collected through October 1998. The purpose of this publication is to provide unique, standardized codes for identification of domestic fields. Use of these field codes fosters consistency of field identification by government and industry.

Robert F. King

1999-01-01T23:59:59.000Z

137

Oil and Gas Field Code Master List 2000  

Reports and Publications (EIA)

The Oil and Gas Field Code Master List 2000 is the nineteenth annual listing of all identified oil and gas fields in the United States. It is updated with field information collected through November 2000. The purpose of this publication is to provide unique, standardized codes for identification of domestic fields. Use of these field codes fosters consistency of field identification by government and industry.

Robert F. King

2001-01-01T23:59:59.000Z

138

Oil and Gas Field Code Master List 2003  

Reports and Publications (EIA)

The Oil and Gas Field Code Master List 2001 is the twenty second annual listing of all identified oil and gas fields in the United States. It is updated with field information collected through November 2002. The purpose of this publication is to provide unique, standardized codes for identification of domestic fields. Use of these field codes fosters consistency of field identification by government and industry.

Robert F. King

2004-03-01T23:59:59.000Z

139

Oil and Gas Field Code Master List 2001  

Reports and Publications (EIA)

The Oil and Gas Field Code Master List 2001 is the twentieth annual listing of all identified oil and gas fields in the United States. It is updated with field information collected through November 2001. The purpose of this publication is to provide unique, standardized codes for identification of domestic fields. Use of these field codes fosters consistency of field identification by government and industry.

Robert F. King

2002-01-01T23:59:59.000Z

140

Oil and Gas Field Code Master List 2002  

Reports and Publications (EIA)

The Oil and Gas Field Code Master List 2001 is the twenty first annual listing of all identified oil and gas fields in the United States. It is updated with field information collected through November 2002. The purpose of this publication is to provide unique, standardized codes for identification of domestic fields. Use of these field codes fosters consistency of field identification by government and industry.

Robert F. King

2003-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial classification code" 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

Oil and gas field code master list, 1993  

Science Conference Proceedings (OSTI)

This document contains data collected through October 1993 and provides standardized field name spellings and codes for all identified oil and/or gas fields in the United States. Other Federal and State government agencies, as well as industry, use the EIA Oil and Gas Field Code Master List as the standard for field identification. A machine-readable version of the Oil and Gas Field Code Master List is available from the National Technical Information Service.

Not Available

1993-12-16T23:59:59.000Z

142

Protein structure classification by structural transformatio  

Science Conference Proceedings (OSTI)

Protein structure classification plays an important role in understanding the relationships among structure and sequence. Recently, as the number of known protein structure are increasing steeply, automatic classification is highly required. This paper ... Keywords: Brookhaven Protein Data Bank, automatic classification, molecular biophysics, primitive operations, protein folds, protein structure classification, secondary structural elements, sequence, structural transformation

T. Ohkawa; D. Namihira; N. Komoda; A. Kidera; H. Nakamura

1996-11-01T23:59:59.000Z

143

XSOR codes users manual  

SciTech Connect

This report describes the source term estimation codes, XSORs. The codes are written for three pressurized water reactors (Surry, Sequoyah, and Zion) and two boiling water reactors (Peach Bottom and Grand Gulf). The ensemble of codes has been named ``XSOR``. The purpose of XSOR codes is to estimate the source terms which would be released to the atmosphere in severe accidents. A source term includes the release fractions of several radionuclide groups, the timing and duration of releases, the rates of energy release, and the elevation of releases. The codes have been developed by Sandia National Laboratories for the US Nuclear Regulatory Commission (NRC) in support of the NUREG-1150 program. The XSOR codes are fast running parametric codes and are used as surrogates for detailed mechanistic codes. The XSOR codes also provide the capability to explore the phenomena and their uncertainty which are not currently modeled by the mechanistic codes. The uncertainty distributions of input parameters may be used by an. XSOR code to estimate the uncertainty of source terms.

Jow, Hong-Nian [Sandia National Labs., Albuquerque, NM (United States); Murfin, W.B. [Technadyne Engineering Consultants, Inc., Albuquerque, NM (United States); Johnson, J.D. [Science Applications International Corp., Albuquerque, NM (United States)

1993-11-01T23:59:59.000Z

144

Arizona | Building Energy Codes Program  

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

None Statewide Amendments Additional State Code Information Arizona has no statewide energy code. However, many counties have adopted the IECC 2006 as an energy efficiency code....

145

Code of Conduct  

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

Governance » Governance » Ethics, Accountability » Code of Conduct Code of Conduct Helping employees recognize and resolve the ethics and compliance issues that may arise in their daily work. Contact Code of Conduct (505) 667-7506 Code of Conduct LANL is committed to operating in accordance with the highest standards of ethics and compliance and with its core values of service to our nation, ethical conduct and personal accountability, excellence in our work, and mutual respect and teamwork. LANL must demonstrate to customers and the public that the Laboratory is accountable for its actions and that it conducts business in a trustworthy manner. What is LANL's Code of Conduct? Charlie McMillan 1:46 Laboratory Director Charlie McMillan introduces the code LANL's Code of Conduct is designed to help employees recognize and

146

Building Technologies Office: Commercial Building Codes and Standards  

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

Codes and Standards Codes and Standards Photo of two inspectors looking at a clipboard on a commercial building site with the steel frame of a commercial building in the background. Local code officials enforce building energy codes. Credit: iStockphoto Once an energy-efficient technology or practice is widely available in the market, it can become the baseline of performance through building energy codes and equipment standards. The Building Technologies Office (BTO) provides support to states and local governments as they adopt and monitor commercial building code as well as builders working to meet and exceed code. BTO also develops test procedures and minimum efficiency standards for commercial equipment. Building Energy Codes DOE encourages using new technologies and better building practices to improve energy efficiency. Mandating building energy efficiency by including it in state and local codes is an effective strategy for achieving that goal. The Building Energy Codes Program works with the International Code Council (ICC), American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE), Illuminating Engineering Society of North America (IESNA), American Institute of Architects (AIA), the building industry, and state and local officials to develop and promote more stringent and easy-to-understand building energy codes and to assess potential code barriers to new energy-efficient technologies.

147

Carbon Emissions: Petroleum Refining Industry  

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

Petroleum Refining Industry Petroleum Refining Industry Carbon Emissions in the Petroleum Refining Industry The Industry at a Glance, 1994 (SIC Code: 2911) Total Energy-Related Emissions: 79.9 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 21.5% -- Nonfuel Emissions: 16.5 MMTC Total First Use of Energy: 6,263 trillion Btu -- Pct. of All Manufacturers: 28.9% Nonfuel Use of Energy Sources: 3,110 trillion Btu (49.7%) -- Naphthas and Other Oils: 1,328 trillion Btu -- Asphalt and Road Oil: 1,224 trillion Btu -- Lubricants: 416 trillion Btu Carbon Intensity: 12.75 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey", "Monthly Refinery Report" for 1994, and Emissions of Greenhouse Gases in the United States 1998.

148

Sustainable Acquisition Coding System | Department of Energy  

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

Acquisition Coding System Sustainable Acquisition Coding System Sustainable Acquisition Coding System Sustainable Acquisition Coding System More Documents & Publications Policy...

149

Arkansas Underground Injection Control Code (Arkansas) | Department of  

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

Arkansas Underground Injection Control Code (Arkansas) Arkansas Underground Injection Control Code (Arkansas) Arkansas Underground Injection Control Code (Arkansas) < Back Eligibility Commercial Construction Industrial Utility Program Info State Arkansas Program Type Environmental Regulations Siting and Permitting Provider Department of Environmental Quality The Arkansas Underground Injection Control Code (UIC code) is adopted pursuant to the provisions of the Arkansas Water and Air Pollution Control Act (Arkansas Code Annotated 8-5-11). It is the purpose of this UIC Code to adopt underground injection control (UIC) regulations necessary to qualify the State of Arkansas to retain authorization for its Underground Injection Control Program pursuant to the Safe Drinking Water Act of 1974, as amended; 42 USC 300f et seq. In order

150

Mechanical code comparator  

DOE Patents (OSTI)

A new class of mechanical code comparators is described which have broad potential for application in safety, surety, and security applications. These devices can be implemented as micro-scale electromechanical systems that isolate a secure or otherwise controlled device until an access code is entered. This access code is converted into a series of mechanical inputs to the mechanical code comparator, which compares the access code to a pre-input combination, entered previously into the mechanical code comparator by an operator at the system security control point. These devices provide extremely high levels of robust security. Being totally mechanical in operation, an access control system properly based on such devices cannot be circumvented by software attack alone.

Peter, Frank J. (Albuquerque, NM); Dalton, Larry J. (Bernalillo, NM); Plummer, David W. (Albuquerque, NM)

2002-01-01T23:59:59.000Z

151

The Washington State Experience Energy Code Compliance  

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

Washington State Experience Washington State Experience Residential Energy Code Compliance Gary Nordeen Senior Building Science Specialist April 4, 2013 WSU Energy Program Provides energy services, products, education and information for: * Businesses * Utilities ̶ public and private * Governments ̶ state and local * Tribes * Federal agencies * Manufacturing plants * Educational facilities * National laboratories WSU Energy Program Building Science Team * Residential energy code technical assistance * Voluntary programs, Northwest ENERGYSTAR Homes * Research and development, Building America * Community-based upgrade programs * Industry training and certifications ̶ HERS, BPI, ENERGY STAR, PTCS Staff provides building science expertise for: WSU Energy Program

152

Biodiesel Vehicle and Infrastructure Codes and Standards Citations (Brochure), NREL (National Renewable Energy Laboratory)  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Biodiesel Vehicle and Infrastructure Codes and Standards Citations Biodiesel Vehicle and Infrastructure Codes and Standards Citations This document lists codes and standards typically used for U.S. biodiesel vehicle and infrastructure projects. To determine which codes and standards apply to a specific project, identify the codes and standards currently in effect within the jurisdiction where the project will be located. Some jurisdictions also have unique ordinances or regulations that could apply. Learn about codes and standards basics at www.afdc.energy.gov/afdc/codes_standards_basics.html. Find biodiesel vehicle and infrastructure codes and standards in these categories: * Definition and Classification of Liquids * Fire Prevention and Fire Risk Control * Building Construction Requirements * Electrical Systems

153

Ethanol Vehicle and Infrastructure Codes and Standards Citations (Brochure), NREL (National Renewable Energy Laboratory)  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Ethanol Vehicle and Infrastructure Codes and Standards Citations Ethanol Vehicle and Infrastructure Codes and Standards Citations This document lists codes and standards typically used for U.S. ethanol vehicle and infrastructure projects. To determine which codes and standards apply to a specific project, identify the codes and standards currently in effect within the jurisdiction where the project will be located. Some jurisdictions also have unique ordinances or regulations that could apply. Learn about codes and standards basics at www.afdc.energy.gov/afdc/codes_standards_basics.html. Find ethanol vehicle and infrastructure codes and standards in these categories: * Definition and Classification of Liquids * Fire Prevention and Fire Risk Control * Building Construction Requirements * Electrical Systems

154

Magma benchmark code - CECM  

E-Print Network (OSTI)

Below is the Magma code used to run the benchmarks in Section 5 of the paper " In-place Arithmetic for Univariate Polynomials over an Algebraic Number Field" ...

155

11. CONTRACT ID CODE  

National Nuclear Security Administration (NNSA)

30030 Amarillo, TX 79120 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, state, ZIP Code) Babcock & Wilcox Technical Services Pantex, LLC PO Box 30020 Amarillo, TX 79120...

156

" Row: NAICS Codes;"  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2002; " " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit:...

157

Quantum convolutional stabilizer codes  

E-Print Network (OSTI)

Quantum error correction codes were introduced as a means to protect quantum information from decoherance and operational errors. Based on their approach to error control, error correcting codes can be divided into two different classes: block codes and convolutional codes. There has been significant development towards finding quantum block codes, since they were first discovered in 1995. In contrast, quantum convolutional codes remained mainly uninvestigated. In this thesis, we develop the stabilizer formalism for quantum convolutional codes. We define distance properties of these codes and give a general method for constructing encoding circuits, given a set of generators of the stabilizer of a quantum convolutional stabilizer code, is shown. The resulting encoding circuit enables online encoding of the qubits, i.e., the encoder does not have to wait for the input transmission to end before starting the encoding process. We develop the quantum analogue of the Viterbi algorithm. The quantum Viterbi algorithm (QVA) is a maximum likehood error estimation algorithm, the complexity of which grows linearly with the number of encoded qubits. A variation of the quantum Viterbi algorithm, the Windowed QVA, is also discussed. Using Windowed QVA, we can estimate the most likely error without waiting for the entire received sequence.

Chinthamani, Neelima

2005-05-01T23:59:59.000Z

158

" Row: NAICS Codes;"  

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

9.1 Enclosed Floorspace and Number of Establishment Buildings, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square...

159

Associations and Industry - TMS  

Science Conference Proceedings (OSTI)

... Associations and Industry, Research Programs, ==== Basic Metallurgy ==== ... FORUMS > ASSOCIATIONS AND INDUSTRY, Replies, Views, Originator, Last ...

160

Statutes, Regulations, and Directives for Classification Program |  

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

Classification » Statutes, Regulations, and Directives Classification » Statutes, Regulations, and Directives for Classification Program Statutes, Regulations, and Directives for Classification Program Classification Atomic Energy Act of 1954 - Establishes Government-wide policies for classifying, safeguarding, and declassifying Restricted Data information. 10 CFR Part 1045, Nuclear Classification and Declassification - Establishes the Government-wide policies and procedures for implementing sections 141 and 142 of the Atomic Energy Act of 1954 for classifying and declassifying RD and FRD and implements those requirements of Executive Order 12958 concerning NSI that affect the public. Executive Order 13526, Classified National Security Information - Prescribes the Government-wide system for classifying, safeguarding, and

Note: This page contains sample records for the topic "industrial classification code" 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

Industrial alliances  

Science Conference Proceedings (OSTI)

The United States is emerging from the Cold War era into an exciting, but challenging future. Improving the economic competitiveness of our Nation is essential both for improving the quality of life in the United States and maintaining a strong national security. The research and technical skills used to maintain a leading edge in defense and energy now should be used to help meet the challenge of maintaining, regaining, and establishing US leadership in industrial technologies. Companies recognize that success in the world marketplace depends on products that are at the leading edge of technology, with competitive cost, quality, and performance. Los Alamos National Laboratory and its Industrial Partnership Center (IPC) has the strategic goal to make a strong contribution to the nation`s economic competitiveness by leveraging the government`s investment at the Laboratory: personnel, infrastructure, and technological expertise.

Adams, K.V.

1993-09-13T23:59:59.000Z

162

Brochure, Classification Bulletin GEN-16 - February 2012 | Department...  

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

Brochure, Classification Bulletin GEN-16 - February 2012 Brochure, Classification Bulletin GEN-16 - February 2012 This brochure provides information on Classification Bulletin...

163

11. CONTRACT ID CODE  

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

1 PAGE 1 OF2 AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT PAGES 2. AMENDMENT/MODIFICATION NO. I 3. EFFECTIVE DATE M191 See Block 16C 4. REQUISITION/PURCHASE I 5. PROJECT NO. (If applicable) REQ. NO. 6.ISSUED BY CODE U.S. Department of Energy National Nuclear Security Administration Service Center Property and M&O Contract Support Department P.O. Box 5400 Albuquerque, NM 87185-5400 7. ADMINISTERED BY (If other than Item 6) CODE U.S. Department of Energy National Nuclear Security Administration Manager, Pantex Site Office P.O. Box 30030 Amarillo, TX 79120 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, state, ZIP Code) Babcock & Wilcox Technical Services Pantex, LLC PO Box 30020 Amarillo, TX 79120 CODE I FACILITY CODE SA. AMENDMENT OF SOLICITATION NO.

164

PETSc: Docs: Code Management  

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

Code Management Code Management Home Download Features Documentation Manual pages and Users Manual Citing PETSc Tutorials Installation SAWs Changes Bug Reporting Code Management FAQ License Linear Solver Table Applications/Publications Miscellaneous External Software Developers Site In this file we list some of the techniques that may be used to increase one's efficiency when developing PETSc application codes. We have learned to use these techniques ourselves, and they have improved our efficiency tremendously. Editing and Compiling The biggest time sink in code development is generally the cycle of EDIT-COMPILE-LINK-RUN. We often see users working in a single window with a cycle such as: Edit a file with emacs. Exit emacs. Run make and see some error messages. Start emacs and try to fix the errors; often starting emacs hides

165

Residential Building Code Compliance  

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

6 6 Residential Building Code Compliance: Recent Findings and Implications Energy use in residential buildings in the U.S. is significant-about 20% of primary energy use. While several approaches reduce energy use such as appliance standards and utility programs, enforcing state building energy codes is one of the most promising. However, one of the challenges is to understand the rate of compliance within the building community. Utility companies typically use these codes as the baseline for providing incentives to builders participating in utility-sponsored residential new construction (RNC) programs. However, because builders may construct homes that fail to meet energy codes, energy use in the actual baseline is higher than would be expected if all buildings complied with the code. Also,

166

Automated classification of congressional legislation  

Science Conference Proceedings (OSTI)

For social science researchers, content analysis and classification of United States Congressional legislative activities have been time consuming and costly. The Library of Congress THOMAS system provides detailed information about bills and laws, but ... Keywords: SVMs, U.S. congress, institutions, legislative activities, support vector machines, text analysis

Stephen Purpura; Dustin Hillard

2006-05-01T23:59:59.000Z

167

Classification of 7-dimensional Einstein nilradicals II  

E-Print Network (OSTI)

This paper contains all computations supporting the classification of 7-dimensional Einstein nilradicals given in the article "Classification of 7-dimensional Einstein nilradicals" (arXiv). Each algebra is analyzed in detail here.

Culma, Edison Alberto Fernández

2011-01-01T23:59:59.000Z

168

A property based specification formalism classification  

Science Conference Proceedings (OSTI)

Specification formalisms may be classified through some common properties. Specification formalism classification may be used as a basis for the evaluation of the adequacy of formal specification languages within specific application domains. System ... Keywords: Classification, Specification formalism, Specification properties

Amir A. Khwaja; Joseph E. Urban

2010-11-01T23:59:59.000Z

169

The EGS5 Code System  

Science Conference Proceedings (OSTI)

In the nineteen years since EGS4 was released, it has been used in a wide variety of applications, particularly in medical physics, radiation measurement studies, and industrial development. Every new user and every new application bring new challenges for Monte Carlo code designers, and code refinements and bug fixes eventually result in a code that becomes difficult to maintain. Several of the code modifications represented significant advances in electron and photon transport physics, and required a more substantial invocation than code patching. Moreover, the arcane MORTRAN3[48] computer language of EGS4, was highest on the complaint list of the users of EGS4. The size of the EGS4 user base is difficult to measure, as there never existed a formal user registration process. However, some idea of the numbers may be gleaned from the number of EGS4 manuals that were produced and distributed at SLAC: almost three thousand. Consequently, the EGS5 project was undertaken. It was decided to employ the FORTRAN 77 compiler, yet include as much as possible, the structural beauty and power of MORTRAN3. This report consists of four chapters and several appendices. Chapter 1 is an introduction to EGS5 and to this report in general. We suggest that you read it. Chapter 2 is a major update of similar chapters in the old EGS4 report[126] (SLAC-265) and the old EGS3 report[61] (SLAC-210), in which all the details of the old physics (i.e., models which were carried over from EGS4) and the new physics are gathered together. The descriptions of the new physics are extensive, and not for the faint of heart. Detailed knowledge of the contents of Chapter 2 is not essential in order to use EGS, but sophisticated users should be aware of its contents. In particular, details of the restrictions on the range of applicability of EGS are dispersed throughout the chapter. First-time users of EGS should skip Chapter 2 and come back to it later if necessary. With the release of the EGS4 version, a deliberate attempt was made to present example problems in order to help the user ''get started'', and we follow that spirit in this report. A series of elementary tutorial user codes are presented in Chapter 3, with more sophisticated sample user codes described in Chapter 4. Novice EGS users will find it helpful to read through the initial sections of the EGS5 User Manual (provided in Appendix B of this report), proceeding then to work through the tutorials in Chapter 3. The User Manuals and other materials found in the appendices contain detailed flow charts, variable lists, and subprogram descriptions of EGS5 and PEGS. Included are step-by-step instructions for developing basic EGS5 user codes and for accessing all of the physics options available in EGS5 and PEGS. Once acquainted with the basic structure of EGS5, users should find the appendices the most frequently consulted sections of this report.

Hirayama, Hideo; Namito, Yoshihito; /KEK, Tsukuba; Bielajew, Alex F.; Wilderman, Scott J.; U., Michigan; Nelson, Walter R.; /SLAC

2005-12-20T23:59:59.000Z

170

Sandia National Laboratories analysis code data base  

Science Conference Proceedings (OSTI)

Sandia National Laboratories, mission is to solve important problems in the areas of national defense, energy security, environmental integrity, and industrial technology. The Laboratories` strategy for accomplishing this mission is to conduct research to provide an understanding of the important physical phenomena underlying any problem, and then to construct validated computational models of the phenomena which can be used as tools to solve the problem. In the course of implementing this strategy, Sandia`s technical staff has produced a wide variety of numerical problem-solving tools which they use regularly in the design, analysis, performance prediction, and optimization of Sandia components, systems and manufacturing processes. This report provides the relevant technical and accessibility data on the numerical codes used at Sandia, including information on the technical competency or capability area that each code addresses, code ``ownership`` and release status, and references describing the physical models and numerical implementation.

Peterson, C.W.

1994-11-01T23:59:59.000Z

171

Interferometric SAR coherence classification utility assessment  

SciTech Connect

The classification utility of a dual-antenna interferometric synthetic aperture radar (IFSAR) is explored by comparison of maximum likelihood classification results for synthetic aperture radar (SAR) intensity images and IPSAR intensity and coherence images. The addition of IFSAR coherence improves the overall classification accuracy for classes of trees, water, and fields. A threshold intensity-coherence classifier is also compared to the intensity-only classification results.

Yocky, D.A.

1998-03-01T23:59:59.000Z

172

UK Radioactive Waste: Classification, Sources and Management ...  

Science Conference Proceedings (OSTI)

Paper contents outlook: Introduction; Radioactive waste classification; Sources of waste (Nuclear power plant operation/decommissioning, Reprocessing and ...

173

Quantum stabilizer codes and beyond  

E-Print Network (OSTI)

The importance of quantum error correction in paving the way to build a practical quantum computer is no longer in doubt. Despite the large body of literature in quantum coding theory, many important questions, especially those centering on the issue of "good codes" are unresolved. In this dissertation the dominant underlying theme is that of constructing good quantum codes. It approaches this problem from three rather different but not exclusive strategies. Broadly, its contribution to the theory of quantum error correction is threefold. Firstly, it extends the framework of an important class of quantum codes - nonbinary stabilizer codes. It clarifies the connections of stabilizer codes to classical codes over quadratic extension fields, provides many new constructions of quantum codes, and develops further the theory of optimal quantum codes and punctured quantum codes. In particular it provides many explicit constructions of stabilizer codes, most notably it simplifies the criteria by which quantum BCH codes can be constructed from classical codes. Secondly, it contributes to the theory of operator quantum error correcting codes also called as subsystem codes. These codes are expected to have efficient error recovery schemes than stabilizer codes. Prior to our work however, systematic methods to construct these codes were few and it was not clear how to fairly compare them with other classes of quantum codes. This dissertation develops a framework for study and analysis of subsystem codes using character theoretic methods. In particular, this work established a close link between subsystem codes and classical codes and it became clear that the subsystem codes can be constructed from arbitrary classical codes. Thirdly, it seeks to exploit the knowledge of noise to design efficient quantum codes and considers more realistic channels than the commonly studied depolarizing channel. It gives systematic constructions of asymmetric quantum stabilizer codes that exploit the asymmetry of errors in certain quantum channels. This approach is based on a Calderbank- Shor-Steane construction that combines BCH and finite geometry LDPC codes.

Sarvepalli, Pradeep Kiran

2008-08-01T23:59:59.000Z

174

Report number codes  

SciTech Connect

This publication lists all report number codes processed by the Office of Scientific and Technical Information. The report codes are substantially based on the American National Standards Institute, Standard Technical Report Number (STRN)-Format and Creation Z39.23-1983. The Standard Technical Report Number (STRN) provides one of the primary methods of identifying a specific technical report. The STRN consists of two parts: The report code and the sequential number. The report code identifies the issuing organization, a specific program, or a type of document. The sequential number, which is assigned in sequence by each report issuing entity, is not included in this publication. Part I of this compilation is alphabetized by report codes followed by issuing installations. Part II lists the issuing organization followed by the assigned report code(s). In both Parts I and II, the names of issuing organizations appear for the most part in the form used at the time the reports were issued. However, for some of the more prolific installations which have had name changes, all entries have been merged under the current name.

Nelson, R.N. (ed.)

1985-05-01T23:59:59.000Z

175

Remote Sensing Ayman F. Habib Image Classification  

E-Print Network (OSTI)

1 Remote Sensing Ayman F. Habib 1 Chapter 6 Image Classification Remote Sensing Ayman F. Habib 2. ­ Unsupervised classification. · Accuracy assessment. #12;2 Remote Sensing Ayman F. Habib 3 Image Classification of image pixels is based on their digital numbers/grey values in one or more spectral bands. Remote Sensing

Habib, Ayman

176

Scalable Active Learning for Multiclass Image Classification  

Science Conference Proceedings (OSTI)

Machine learning techniques for computer vision applications like object recognition, scene classification, etc., require a large number of training samples for satisfactory performance. Especially when classification is to be performed over many categories, ... Keywords: Training,Support vector machines,Training data,Noise,Accuracy,Learning systems,Couplings,object recognition,Active learning,scalable machine learning,multiclass classification

Ajay J. Joshi; Fatih Porikli; Nikos Papanikolopoulos

2012-11-01T23:59:59.000Z

177

Non-smoothness in classification problems  

Science Conference Proceedings (OSTI)

We review the role played by non-smooth optimization techniques in many recent applications in classification area. Starting from the classical concept of linear separability in binary classification, we recall the more general concepts of polyhedral, ... Keywords: classification, non-smooth optimization, separation of sets

A. Astorino; A. Fuduli; E. Gorgone

2008-10-01T23:59:59.000Z

178

City of Austin - Zoning Code | Department of Energy  

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

City of Austin - Zoning Code City of Austin - Zoning Code City of Austin - Zoning Code < Back Eligibility Commercial Construction Fed. Government Industrial Installer/Contractor Institutional Local Government Multi-Family Residential Nonprofit Residential Schools State Government Savings Category Other Solar Buying & Making Electricity Program Info State Texas Program Type Solar/Wind Access Policy The Zoning Code (Chapter 25-2) of the Austin City Code provides a height limitation exemption for solar installations. Solar installations may exceed the zoning district height limit by 15% or the amount necessary to comply with a federal or state regulation, whichever is greater. The Zoning Code also allows for preservation plan in historic districts to incorporate sustainability measures such as solar technologies and other energy

179

Hydrogen Pipeline Working Group Workshop: Code for Hydrogen Pipelines  

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

Code for Hydrogen Code for Hydrogen Pipelines Hydrogen Pipeline Working Group Workshop Augusta, Georgia August 31, 2005 Louis Hayden, PE Chair ASME B31.12 3 Presentation Outline * Approval for new code development * Charge from BPTCS to B31 Standards Committee for Hydrogen Piping/Pipeline code development * B31.12 Status & Structure * Hydrogen Pipeline issues * Research Needs * Where Do We Go From Here? 4 Code for Hydrogen Piping and Pipelines * B31 Hydrogen Section Committee to develop a new code for H 2 piping and pipelines - Include requirements specific to H 2 service for power, process, transportation, distribution, commercial, and residential applications - Balance reference and incorporation of applicable sections of B31.1, B31.3 and B31.8 - Have separate parts for industrial, commercial/residential

180

Survey and analyze the business conditions of the solar industry, June-July 1981. Task I  

DOE Green Energy (OSTI)

Progress is reported on the following tasks: surveying and analyzing the business conditions of the solar industry, administrative analysis of solar system product certification standards and codes, and solar industry advertising guidelines. (MHR)

Not Available

1981-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial classification code" 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

Codes base on unambiguous products  

Science Conference Proceedings (OSTI)

In this paper, we propose the notion of +-unambiguous product which is expanded from unambiguous product and the definitions of alternative product, alternative code, even alternative code on a pair (X, Y) of languages. Some basic properties of ... Keywords: +-unambiguous product, alt-code, ealt-code, generations of code, independency of conditions

Ho Ngoc Vinh; Vu Thanh Nam; Phan Trung Huy

2010-11-01T23:59:59.000Z

182

Code 4 Armor - Energy  

• Provides stopping power equal to steel armor ... Y-12 is seeking an industry partner to fully commercialize this technology. If you would like more information

183

FCT Safety, Codes and Standards: DOE Safety, Codes, and Standards...  

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

Safety, Codes, and Standards Activities to someone by E-mail Share FCT Safety, Codes and Standards: DOE Safety, Codes, and Standards Activities on Facebook Tweet about FCT Safety,...

184

Energy efficient industrialized housing research program  

Science Conference Proceedings (OSTI)

This document describes the research work completed in five areas in fiscal year 1989. (1) The analysis of the US industrialized housing industry includes statistics, definitions, a case study, and a code analysis. (2) The assessment of foreign technology reviews the current status of design, manufacturing, marketing, and installation of industrialized housing primarily in Sweden and Japan. (3) Assessment of industrialization applications reviews housing production by climate zone, has a cost and energy comparison of Swedish and US housing, and discusses future manufacturing processes and emerging components. (4) The state of computer use in the industry is described and a prototype design tool is discussed. (5) Side by side testing of industrialized housing systems is discussed.

Berg, R.; Brown, G.Z.; Finrow, J.; Kellett, R.; McDonald, M.; McGinn, B.; Ryan, P.; Sekiguchi, Tomoko (Oregon Univ., Eugene, OR (USA). Center for Housing Innovation); Chandra, S.; Elshennawy, A.K.; Fairey, P.; Harrison, J.; Mazwell, L.; Roland, J.; Swart, W. (Florida Solar Energy Center, Cape Canaveral, FL (USA))

1989-12-01T23:59:59.000Z

185

"Code(a)","Subsector and Industry","Total","Electricity","Fuel...  

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

me",0,0,0,0,0,0,0,0,0 327420," Gypsum",0.3,1.6,0,0,0.1,2.9,"X","X",0.1 327993," Mineral Wool",0.3,0.5,"X",2.7,0.2,2.2,"X",3,0.1 331,"Primary Metals",0.5,0.7,0.1,1.7,0.7,4,0,0.2,0.4...

186

Transforming the Freight Industry  

E-Print Network (OSTI)

Transforming the Freight Industry From Regulation to Icommon-carrier freight industry was Competition to backwardjourneys. When the freight industry was deregulated, it was

Regan, Amelia

2002-01-01T23:59:59.000Z

187

Demographics and industry returns  

E-Print Network (OSTI)

Demographics and Industry Returns By Stefano DellaVigna andand returns across industries. Cohort size fluc- tuationspredict profitability by industry. Moreover, forecast demand

Pollet, Joshua A.; DellaVigna, Stefano

2007-01-01T23:59:59.000Z

188

Compiling Codes on Hopper  

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

Compiling Codes Compiling Codes Compiling Codes on Hopper Overview Cray provides a convenient set of wrapper commands that should be used in almost all cases for compiling and linking parallel programs. Invoking the wrappers will automatically link codes with MPI libraries and other Cray system software. All MPI and Cray system include directories are also transparently imported. In addition the wrappers append the compiler's target processor arguments for the hopper compute node processors. NOTE: The intention is that programs are compiled on the login nodes and executed on the compute nodes. Because the compute nodes and login nodes have different operating systems, binaries created for compute nodes may not run on the login node. The wrappers mentioned above guarantee that

189

T ID CODE I  

National Nuclear Security Administration (NNSA)

I 9B. DATED (SEE ITEM 11) 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, state, ZIP Code) 10A. MODIFICATION OF CONTRACTIORDER NO. DE-AC52-06NA25396 3. EFFECTIVE DATE See...

190

Residential Codes and Standards | Building Energy Codes Program  

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

houses, which are built in a factory and transported to the home site. ICC ASHRAE International Energy Conservation Code The International Energy Conservation Code...

191

Building Energy Codes in Arizona: Best Practices in Code Support...  

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

in Code Support, Compliance, and Enforcement A study funded by the North American Insulation Manufacturers Association to identify "the best practices in energy code support,...

192

APPENDIX A CRUDE STREAM CODES COUNTRY Stream Code Stream Name ...  

U.S. Energy Information Administration (EIA)

Page ?? 6 * A Former Soviet Republic APPENDIX A CRUDE STREAM CODES COUNTRY Stream Code Stream Name Gravity Sulfur Columbia - Continued CO043 Orito ...

193

Energy-Related Carbon Emissions, by Industry, 1994  

U.S. Energy Information Administration (EIA)

SIC Code Industry Group Total Net Electricity Natural Gas Petro-leum Coal Other (MMTC/ Quadrillion Btu) Total: 371.7: 131.1: 93.5: 87.3: 56.8: 3.1: ...

194

Industrial Demand Module 1999, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

1999-01-01T23:59:59.000Z

195

Industrial Demand Module 2005, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. C. Honeycutt

2005-05-01T23:59:59.000Z

196

Industrial Demand Module 2006, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. C. Honeycutt

2006-07-01T23:59:59.000Z

197

Industrial Demand Module 2009, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. C. Honeycutt

2009-05-20T23:59:59.000Z

198

Industrial Demand Module 2003, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2003-12-01T23:59:59.000Z

199

Industrial Demand Module 2007, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. C. Honeycutt

2007-03-21T23:59:59.000Z

200

Industrial Demand Module 2002, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2001-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial classification code" 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

Industrial Demand Module 2001, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2000-12-01T23:59:59.000Z

202

Industrial Demand Module 2008, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. C. Honeycutt

2008-06-01T23:59:59.000Z

203

Industrial Demand Module 2000, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2000-01-01T23:59:59.000Z

204

Industrial Demand Module 2004, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2004-02-01T23:59:59.000Z

205

World Energy Projection System Plus Model Documentation: Industrial Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) World Industrial Model (WIM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Peter Gross

2011-10-12T23:59:59.000Z

206

Industry Perspective  

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

idatech.com idatech.com info@idatech.com 63065 NE 18 th Street Bend, OR 97701 541.383.3390 Industry Perspective Biogas and Fuel Cell Workshop National Renewable Energy Laboratory June 11 - 13, 2012 Mike Hicks Chairman of the Board of Directors, FCHEA Treasurer of the Board of Directors, FCS&E Engineering Manager, Technology Development & Integration, IdaTech Outline 1. Critical Factors * Fuel Purity * Fuel Cost 2. Natural Gas - The Wild Card & Competition 3. IdaTech's Experience Implementing Biofuel Critical Factor - Fuel Purity All fuel cell system OEMs have fuel purity specifications * Independent of * Raw materials or feed stocks * Manufacturing process * Depends on * Fuel processor technology * Fuel cell technology - low temp PEM versus SOFC

207

Network coding: an instant primer  

Science Conference Proceedings (OSTI)

Network coding is a new research area that may have interesting applications in practical networking systems. With network coding, intermediate nodes may send out packets that are linear combinations of previously received information. There are two ... Keywords: network coding

Christina Fragouli; Jean-Yves Le Boudec; Jörg Widmer

2006-01-01T23:59:59.000Z

208

Codes and standards and other guidance cited in regulatory documents  

SciTech Connect

As part of the U.S. Nuclear Regulatory Commission (NRC) Standard Review Plan Update and Development Program (SRP-UDP), Pacific Northwest National Laboratory developed a listing of industry consensus codes and standards and other government and industry guidance referred to in regulatory documents. The SRP-UDP has been completed and the SRP-Maintenance Program (SRP-MP) is now maintaining this listing. Besides updating previous information, Revision 3 adds approximately 80 citations. This listing identifies the version of the code or standard cited in the regulatory document, the regulatory document, and the current version of the code or standard. It also provides a summary characterization of the nature of the citation. This listing was developed from electronic searches of the Code of Federal Regulations and the NRC`s Bulletins, Information Notices, Circulars, Enforcement Manual, Generic Letters, Inspection Manual, Policy Statements, Regulatory Guides, Standard Technical Specifications and the Standard Review Plan (NUREG-0800).

Nickolaus, J.R.; Bohlander, K.L.

1996-08-01T23:59:59.000Z

209

Connecticut | Building Energy Codes Program  

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

& Offices Consumer Information Building Energy Codes Search Search Search Help Building Energy Codes Program Home News Events About DOE EERE BTO BECP Adoption ...

210

Maryland | Building Energy Codes Program  

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

& Offices Consumer Information Building Energy Codes Search Search Search Help Building Energy Codes Program Home News Events About DOE EERE BTO BECP Adoption ...

211

Oregon | Building Energy Codes Program  

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

& Offices Consumer Information Building Energy Codes Search Search Search Help Building Energy Codes Program Home News Events About DOE EERE BTO BECP Adoption ...

212

Indiana | Building Energy Codes Program  

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

& Offices Consumer Information Building Energy Codes Search Search Search Help Building Energy Codes Program Home News Events About DOE EERE BTO BECP Adoption ...

213

California | Building Energy Codes Program  

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

& Offices Consumer Information Building Energy Codes Search Search Search Help Building Energy Codes Program Home News Events About DOE EERE BTO BECP Adoption ...

214

Iowa | Building Energy Codes Program  

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

utility company must obtain a written statementcertification from the builder or homeowner attesting to their compliance with the state energy code. Code enforcement is...

215

Office of Industrial Technologies: Industry partnerships  

SciTech Connect

US industries are making progress in turning the vision of the future into reality: More effective competition in global markets, increased industrial efficiency, more jobs, reduced waste generation and greenhouse gas emissions (to 1990 levels), improved environment. DOE`s Office of Industrial Technologies is catalyzing and supporting industry progress in many ways. This pamphlet gives an overview of OIT.

1995-04-01T23:59:59.000Z

216

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2002;" 2 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

217

" Row: NAICS Codes; Column: Energy Sources;"  

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

4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" 4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

218

" Row: NAICS Codes; Column: Energy Sources;"  

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

4 Number of Establishments by Fuel Consumption, 2002;" 4 Number of Establishments by Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

219

" Row: Employment Sizes within NAICS Codes;"  

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

4 Consumption Ratios of Fuel, 2006;" 4 Consumption Ratios of Fuel, 2006;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES"

220

" Row: NAICS Codes; Column: Energy Sources;"  

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

3.4 Number of Establishments by Fuel Consumption, 2006;" 3.4 Number of Establishments by Fuel Consumption, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

Note: This page contains sample records for the topic "industrial classification code" 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

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2010;" 1.1 Electricity: Components of Net Demand, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",75652,21,5666,347,80993

222

Analytical considerations in the code qualification of piping systems  

Science Conference Proceedings (OSTI)

The paper addresses several analytical topics in the design and qualification of piping systems which have a direct bearing on the prediction of stresses in the pipe and hence on the application of the equations of NB, NC and ND-3600 of the ASME Boiler and Pressure Vessel Code. For each of the analytical topics, the paper summarizes the current code requirements, if any, and the industry practice.

Antaki, G.A.

1995-02-01T23:59:59.000Z

223

" Row: NAICS Codes; Column: Energy Sources;"  

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

2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006;" 2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," ",," " " "," ","Any Combustible" "NAICS"," ","Energy","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

224

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2006;" 1.1 Electricity: Components of Net Demand, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",73242,309,4563,111,78003

225

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Major Group and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

226

Maine | Building Energy Codes Program  

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

Maine Maine Last updated on 2013-11-04 Commercial Residential Code Change Current Code ASHRAE Standard 90.1-2007 Amendments / Additional State Code Information As of September 28, 2011, municipalities over 4,000 in population were required to enforce the new code if they had a building code in place by August 2008. Municipalities under 4,000 are not required to enforce it unless they wish to do so and have the following options: 1. Adopt and enforce the Maine Uniform Building and Energy Code 2. Adopt and enforce the Maine Uniform Building Code (the building code without energy) 3. Adopt and enforce the Maine Uniform Energy Code (energy code only) 4. Have no code Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Maine (BECP Report, Sept. 2009)

227

Product Service Codes @ Headquarters | Department of Energy  

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

Product Service Codes @ Headquarters Product Service Codes @ Headquarters A listing of Product Service Codes used at Headquarters Procurement Services Produce Service Codes @...

228

Additive semisimple multivariable codes over F4  

Science Conference Proceedings (OSTI)

The structure of additive multivariable codes over Keywords: 11T61, 13M10, 81P70, 94B99, Abelian codes, Additive multivariable codes, Duality, Quantum codes

E. Martínez-Moro; A. Piñera-Nicolás; I. F. Rúa

2013-11-01T23:59:59.000Z

229

Code Tables | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

The Obligation Code table shows the valid country of obligation codes. Type of Inventory ChangeUse Code The type of inventory changeuse code (UC) identifies the category...

230

NAICS Codes Description:  

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

Codes Codes Description: Filters: Date Signed only show values between '10/01/2006' and '09/30/2007', Contracting Agency ID show only ('8900'), Contracting Office ID show only ('00001') Contracting Agency ID: 8900, Contracting Office ID: 00001 NAICS Code NAICS Description Actions Action Obligation 541519 OTHER COMPUTER RELATED SERVICES 251 $164,546,671 541611 ADMINISTRATIVE MANAGEMENT AND GENERAL MANAGEMENT CONSULTING SERVICES 236 $52,396,806 514210 DATA PROCESSING SERVICES 195 $28,941,727 531210 OFFICES OF REAL ESTATE AGENTS AND BROKERS 190 $6,460,652 541330 ENGINEERING SERVICES 165 $33,006,079 163 $11,515,387 541690 OTHER SCIENTIFIC AND TECHNICAL CONSULTING SERVICES 92 $40,527,088 531390 OTHER ACTIVITIES RELATED TO REAL ESTATE 79 -$659,654 337214 OFFICE FURNITURE (EXCEPT WOOD) MANUFACTURING 78 $1,651,732

231

LDPC codes from Singer cycles  

Science Conference Proceedings (OSTI)

The main goal of coding theory is to devise efficient systems to exploit the full capacity of a communication channel, thus achieving an arbitrarily small error probability. Low Density Parity Check (LDPC) codes are a family of block codes-characterised ... Keywords: LDPC Codes, Projective spaces, Singer cycles

Luca Giuzzi; Angelo Sonnino

2009-04-01T23:59:59.000Z

232

Thermodynamics Software/Codes - TMS  

Science Conference Proceedings (OSTI)

FORUMS > THERMODYNAMICS SOFTWARE/CODES, Replies, Views, Originator ... Thermodynamic calculations in multicomponent systems, 0, 1887, Cathy ...

233

ACE Learning Series - Overview | Building Energy Codes Program  

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

Overview Overview Buildings account for almost 40% of the energy used in the United States and, as a direct result of that use, our environment and economy are impacted. Building energy codes and standards provide an effective response. The Building Energy Codes Program designed the Adoption, Compliance, and Enforcement (ACE) Learning Series for those in the building industry having the greatest potential to influence the adoption of and compliance with building energy codes and standards. Each toolkit in the ACE Learning Series delivers essential information to enable designers, specifiers, builders, building owners, policy makers, code officials, and others involved in building design and construction to understand the important role building energy codes play in helping us all address our

234

Washington | Building Energy Codes Program  

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

Washington Washington Last updated on 2013-11-05 Current News The Washington State Building Code Council recently completed deliberations on adoption and amendment of the 2012 codes. This includes adoption of the 2012 IECC with state amendments. The new codes became effective July 1, 2013. Commercial Residential Code Change Current Code State Specific Amendments / Additional State Code Information WA 2012 Nonresidential Codes Approved Compliance Tools Nonresidential Energy Code Compliance Tools Approximate Energy Efficiency Equivalent to ASHRAE 90.1-2010 Effective Date 07/01/2013 Adoption Date 02/01/2013 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: Yes ASHRAE 90.1-2010: Yes Washington DOE Determination Letter, May 31, 2013 Washington State Certification of Commercial and Residential Building Energy Codes

235

Alabama | Building Energy Codes Program  

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

Adoption » Status of State Energy Code Adoption Adoption » Status of State Energy Code Adoption Site Map Printable Version Development Adoption Adoption Process State Technical Assistance Status of State Energy Code Adoption Compliance Regulations Resource Center Alabama Last updated on 2013-05-31 Current News The Alabama Energy and Residential Codes Board adopted the 2009 International Energy Conservation Code (IECC) for Commercial Buildings and the 2009 International Residential Code (IRC) for Residential Construction. The new codes will become effective on October 1, 2012. Commercial Residential Code Change Current Code 2009 IECC Amendments / Additional State Code Information N/A Approved Compliance Tools State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in Alabama (BECP Report, Sept. 2009)

236

Classification of Nuclear Weapons-Related Information (Restricted Data and Formerly Restricted Data)  

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

CLASSIFICATION OF CLASSIFICATION OF NUCLEAR WEAPONS-RELATED INFORMATION Restricted Data and Formerly Restricted Data (RD and FRD) June 2012 2 3 Purpose To familiarize individuals from agencies outside of DOE who may come in contact with RD and FRD with the procedures for identifying, classifying, marking, handling, and declassifying documents containing that information as required by  The Atomic Energy Act and  10 Code of Federal Regulation (CFR) Part 1045, Nuclear Classification and Declassification §1045.35 4 Not the Purpose This briefing does not authorize you to classify or declassify documents containing RD or FRD. Additional training is required to classify documents containing RD or FRD or identify RD or FRD within a document for redaction. Only authorized DOE

237

A machine learning approach for tracing regulatory codes to product specific requirements  

Science Conference Proceedings (OSTI)

Regulatory standards, designed to protect the safety, security, and privacy of the public, govern numerous areas of software intensive systems. Project personnel must therefore demonstrate that an as-built system meets all relevant regulatory codes. ... Keywords: regulatory compliance, requirements classification, traceability

Jane Cleland-Huang; Adam Czauderna; Marek Gibiec; John Emenecker

2010-05-01T23:59:59.000Z

238

The Woodland Carbon Code  

E-Print Network (OSTI)

The Woodland Carbon Code While society must continue to make every effort to reduce greenhouse gas a role by removing carbon dioxide from the atmosphere. The potential of woodlands to soak up carbon to help compensate for their carbon emissions. But before investing in such projects, people want to know

239

Proposed Uniformat II Classification of Bridge Elements  

Science Conference Proceedings (OSTI)

... Because sub-elements can be tied into a work breakdown structure, they significantly enhance the usefulness of an elemental classification across ...

2011-06-24T23:59:59.000Z

240

Discriminant Random Forest (DRF) Classification Methodology  

Jupiter Laser Facility. ... State-of-the-art methodologies that perform this type of classification include Support Vector Machines, Neural Networks, and Random Forest.

Note: This page contains sample records for the topic "industrial classification code" 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

Independent Oversight Inspection of Classification and Information...  

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

PNNL. Procedures PNSO administers its CIC programs in accordance with DOE orders and manuals on classification, UCNI, and OUO and does not issue local procedures. PNNL has a...

242

Discriminant forest classification method and system  

DOE Patents (OSTI)

A hybrid machine learning methodology and system for classification that combines classical random forest (RF) methodology with discriminant analysis (DA) techniques to provide enhanced classification capability. A DA technique which uses feature measurements of an object to predict its class membership, such as linear discriminant analysis (LDA) or Andersen-Bahadur linear discriminant technique (AB), is used to split the data at each node in each of its classification trees to train and grow the trees and the forest. When training is finished, a set of n DA-based decision trees of a discriminant forest is produced for use in predicting the classification of new samples of unknown class.

Chen, Barry Y.; Hanley, William G.; Lemmond, Tracy D.; Hiller, Lawrence J.; Knapp, David A.; Mugge, Marshall J.

2012-11-06T23:59:59.000Z

243

Classification Training Institute | Department of Energy  

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

Classification Training Institute Classification Training Institute Classification Training Institute Welcome to the Classification Training Institute (CTI) Webpage. This page provides information for Department of Energy (DOE) and non-DOE personnel concerning courses offered by the CTI, the current course schedule, and provides training and resources (reference materials and links to web pages with additional information) concerning information classified and controlled information within the DOE. This page also contains short animated lessons. If you need a quick refresher on an aspect of classified or controlled information, refer to the section "Online Mini-Lessons" below. Additional lessons are being developed. The training materials provided on this page are for information only. If

244

What Does Transformation Mean to Workers? The Effects of the "New Industrial Relations" on Union Employees' Attitudes  

E-Print Network (OSTI)

The Chrysler-UAW Modern Operating Agreement (MOA) is a prototype for the "new industrial relations," establishing (through collective bargaining) reduced job classifications, shopfloor work teams, a pay-for-skills compensation ...

MacDuffie, John Paul

2002-09-04T23:59:59.000Z

245

Microarray gene expression classification with few genes: Criteria to combine attribute selection and classification methods  

Science Conference Proceedings (OSTI)

Microarray data classification is a task involving high dimensionality and small samples sizes. A common criterion to decide on the number of selected genes is maximizing the accuracy, which risks overfitting and usually selects more genes than actually ... Keywords: Efficient classification with few genes, Feature selection, Machine learning, Microarray data classification

Carlos J. Alonso-González; Q. Isaac Moro-Sancho; Arancha Simon-Hurtado; Ricardo Varela-Arrabal

2012-06-01T23:59:59.000Z

246

Motion estimation and CABAC VLSI co-processors for real-time high-quality H.264/AVC video coding  

Science Conference Proceedings (OSTI)

Real-time and high-quality video coding is gaining a wide interest in the research and industrial community for different applications. H.264/AVC, a recent standard for high performance video coding, can be successfully exploited in several scenarios ... Keywords: Entropy coder, Hardware architectures, Motion estimation, Network-on-Chip, VLSI multimedia systems, Video coding

Sergio Saponara; Maurizio Martina; Michele Casula; Luca Fanucci; Guido Masera

2010-11-01T23:59:59.000Z

247

Coded modulation in the block-fading channel: coding theorems and code construction  

Science Conference Proceedings (OSTI)

We consider coded modulation schemes for the block-fading channel. In the setting where a codeword spans a finite number N of fading degrees of freedom, we show that coded modulations of rate R bit per complex dimension, over a finite signal set ??C ... Keywords: Block-fading channels, bit-interleaved coded modulation, concatenated codes, distance spectrum, diversity, iterative decoding, maximum distance-separable (MDS) codes, maximum-likelihood (ML) decoding, outage probability

A. Guillen i Fabregas; G. Caire

2006-01-01T23:59:59.000Z

248

An extensive study on automated Dewey Decimal Classification  

Science Conference Proceedings (OSTI)

In this paper, we present a theoretical analysis and extensive experiments on the automated assignment of Dewey Decimal Classification (DDC) classes to bibliographic data with a supervised machine-learning approach. Library classification systems, such ... Keywords: Dewey Decimal Classification, automatic classification, hierarchical classification, hierarchical models, tree structures

Jun Wang

2009-11-01T23:59:59.000Z

249

Nebraska | Building Energy Codes Program  

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

Nebraska Nebraska Last updated on 2013-11-04 Current News Nebraska Legislature adopted the 2009 IECC/ASHRAE 90.1-2007. The code became effective August 27, 2011. Commercial Residential Code Change Current Code 2009 IECC Amendments / Additional State Code Information Cities and counties may adopt codes that differ from the Nebraska Energy Code; however, state law requires the adopted code to be equivalent to the Nebraska Energy Code. For existing buildings, only those renovations that will cost more than 50 percent of the replacement cost of the building must comply with the code. Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Nebraska (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to 2009 IECC

250

Summary | Building Energy Codes Program  

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

Summary Summary The impact of energy codes on our future is apparent. From environmental and resource conservation to national security, energy concerns, and our economic challenges, energy codes will continue to be a key component of a sound public policy. For further information on building energy code adoption, compliance, and enforcement, review the ACE toolkits Adoption Compliance Enforcement Popular Links ACE Learning Series ACE Overview Top 10 Reasons for Energy Codes Development of Energy Codes Adoption of Energy Codes Compliance with Energy Codes Enforcement of Energy Codes Going Beyond Code Summary Acronyms and Abbreviations Toolkit Definitions Adoption Toolkit Compliance Toolkit Enforcement Toolkit Contacts Web Site Policies U.S. Department of Energy USA.gov Last Updated: Thursday, January 31, 2013 - 15:19

251

Florida | Building Energy Codes Program  

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

Florida Florida Last updated on 2013-11-18 Current News The triennial code change process is currently underway. Florida expects to be equivalent to ASHRAE 90.1-10 and IECC 2012 by early 2014. Commercial Residential Code Change Current Code State Specific Amendments / Additional State Code Information N/A Approved Compliance Tools Can use State specific EnergyGauge Summit FlaCom State Specific Research Approximate Energy Efficiency Equivalent to ASHRAE 90.1-2007 Effective Date 03/15/2012 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: Yes ASHRAE 90.1-2010: No Florida DOE Determination Letter, May 31, 2013 Florida State Certification of Commercial Building Codes Current Code State Specific Amendments / Additional State Code Information Florida Building Code

252

Coded modulation with Low Density Parity Check codes  

E-Print Network (OSTI)

This thesis proposes the design of Low Density Parity Check (LDPC) codes for cases where coded modulation is used. We design these codes by extending the idea of Density Evolution (DE) that has been introduced as a powerful tool to analyze LDPC codes. We first discuss methods by which we can design these codes for higher order constellations like 8 Phase Shift Keying (PSK) and 16 Quadrature Amplitude Modulation (QAM). We present simulation results that are within 0.22 dB and 0.4 dB within the constrained capacity of 8 PSK and 16 QAM constellations respectively in an Additive White Gaussian Noise (AWGN) channel. In the second part, we investigate serial concatenation of LDPC codes and minimum shift keying (MSK) with iterative decoding. We show that the design of LDPC codes is crucially dependent on the realization of the MSK modulator. For MSK modulators with non-recursive continuous phase encoders (CPEs), optimal codes for BPSK are optimal whereas for MSK modulators with recursive CPEs the BPSK codes are not optimal. We show that for non-recursive CPEs, iterative demodulation and decoding is not required even though the CPE has memory. However, iterative demodulation is essential for recursive CPEs. For recursive CPEs, we design LDPC codes using density evolution and differential evolution by looking at the graph structure of the CPE and considering message passing between both these codes. The resulting codes provide significantly improved performance over the existing codes.

Narayanaswami, Ravi

2001-01-01T23:59:59.000Z

253

Industrial Geospatial Analysis Tool for Energy Evaluation  

E-Print Network (OSTI)

IGATE-E is an industrial energy analysis tool. The tool is intended to be a decision support and planning tool to a wide spectrum of energy analysts, engineers, researchers, government organizations, private consultants, industry partners, and alike. The tool applies statistical modeling to multiple datasets and provides information at the geospatial resolution of zip code using bottom up approaches. Within each zip code, the current version of the tool estimates electrical energy consumption of manufacturing industries based on each type of industries using information from DOE's Industrial Assessment Center database (IAC-DB) and DOE's Energy Information Administration Manufacturing Energy Consumption Survey database (EIA-MECS DB), in addition to commercially available databases such as the Manufacturing News database (MNI, Inc.). Ongoing and future work include adding modules for the predictions of fuel energy consumption streams, manufacturing process steps energy consumption, major energy intensive processes (EIPs) within each industry type among other metrics of interest. The tool utilizes the DOE EIA-MECS energy survey data to validate bottom-up estimates and permits several statistical examinations.

Alkadi, N.; Starke, M.; Ma, O.; Nimbalkar, S.; Cox, D.; Dowling, K.; Johnson, B.; Khan, S.

2013-01-01T23:59:59.000Z

254

Manufacturing-Industrial Energy Consumption Survey(MECS) Historical  

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

> Historical Publications > Historical Publications Manufacturing Establishments reports, data tables and questionnaires Released: May 2008 The Manufacturing Energy Consumption Survey (MECS) is a periodic national sample survey devoted to measuring energy consumption and related issues in the manufacturing sector. The MECS collects data on energy consumption, purchases and expenditures, and related issues and behaviors. Links to previously published documents are given below. Beginning in 1998, reports were only issued electronically. Additional electronic releases are available on the MECS Homepage. The basic unit of data collection for this survey is the manufacturing establishment. Industries are selected according to definitions found in the North American Industry Classification System (NAICS), which replace the earlier Standard Industrial Classification (SIC) system.

255

2013 Energy Code Changes That Effect the HVAC  

E-Print Network (OSTI)

2013 Energy Code Changes That Effect the HVAC Industry Tav Commins Mechanical Engineer California Energy Commission #12;HVAC Mandatory Measures For All Newly Installed Residential HVAC Systems (New Watt Draw at .58 W/CFM, or (return duct and filter sizing) MERV 6 Filter #12;Residential HVAC Measures

California at Davis, University of

256

Erasure Techniques in MRD codes  

E-Print Network (OSTI)

This book is organized into six chapters. The first chapter introduces the basic algebraic structures essential to make this book a self contained one. Algebraic linear codes and their basic properties are discussed in chapter two. In chapter three the authors study the basic properties of erasure decoding in maximum rank distance codes. Some decoding techniques about MRD codes are described and discussed in chapter four of this book. Rank distance codes with complementary duals and MRD codes with complementary duals are introduced and their applications are discussed. Chapter five introduces the notion of integer rank distance codes. The final chapter introduces some concatenation techniques.

W. B. Vasantha Kandasamy; Florentin Smarandache; R. Sujatha; R. S. Raja Durai

2012-05-03T23:59:59.000Z

257

Compliance with Energy Codes | Building Energy Codes Program  

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

Compliance with Energy Codes Compliance with Energy Codes Energy code compliance must be achieved to realize the considerable benefits inherent in energy codes. BECP supports successful compliance by making no-cost compliance tools, REScheck(tm) and COMcheck(tm), and other resources widely available to everyone. BECP has also developed several resources to help states uniformly assess the rate of compliance with their energy codes for residential and commercial buildings. It is important to note that regardless of the level of enforcement, as a law the building owner/developer is ultimately responsible to comply with the energy code. Compliance will be increased if the adopting agency prepares the building construction community to comply with the energy code and provides resources to code officials to enforce it.

258

Building Energy Codes 101: An Introduction | Building Energy Codes Program  

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

Codes 101: An Introduction Codes 101: An Introduction In order to provide a basic introduction to the varied and complex issues associated with building energy codes, the U.S. Department of Energy's Building Energy Codes Program, with valued assistance from the International Codes Council and ASHRAE, has prepared Building Energy Codes 101: An Introduction. This guide is designed to speak to a broad audience with an interest in building energy efficiency, including state energy officials, architects, engineers, designers, and members of the public. Publication Date: Wednesday, February 17, 2010 BECP_Building Energy Codes 101_February2010_v00.pdf Document Details Last Name: Britt Initials: M Affiliation: PNNL Document Number: PNNL-70586 Focus: Adoption Code Development Compliance Building Type:

259

Building Energy Codes Resource Guide: Code Officials Edition  

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

in it FOR ME? DOE's Building Energy Codes Program (www.energycodes.gov) and ICC (www.iccsafe.org) offer many resources for commercial code of cials. Examples in this section...

260

Methane Hydrates Code Comparison  

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

Code Comparison Code Comparison Set-up for Problem 7 (Long-term simulations for Mt Elbert and PBU L- Pad "Like" Deposits) As discussed in the phone conference held on 11/9/2007, it is proposed that Problem 7 be made up of three separate cases: Problem 7a will look at a deposit similar to the Mt Elbert site. Problem 7b will be based on the PBU L-Pad site, and Problem 7c will be a down-dip version of the L-Pad site. In all three cases, a standard set of parameters will be used based on those found in Problem 6 (the history matches to the MDT data). The parameters chosen were consensus values based on the experiences of the various groups in attempting to match the MDT data for the C2 formation at Mount Elbert. Given below are the detailed descriptions of the three problems and the proposed

Note: This page contains sample records for the topic "industrial classification code" 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

Literature review of United States utilities computer codes for calculating actinide isotope content in irradiated fuel  

SciTech Connect

This paper reviews the accuracy and precision of methods used by United States electric utilities to determine the actinide isotopic and element content of irradiated fuel. After an extensive literature search, three key code suites were selected for review. Two suites of computer codes, CASMO and ARMP, are used for reactor physics calculations; the ORIGEN code is used for spent fuel calculations. They are also the most widely used codes in the nuclear industry throughout the world. Although none of these codes calculate actinide isotopics as their primary variables intended for safeguards applications, accurate calculation of actinide isotopic content is necessary to fulfill their function.

Horak, W.C.; Lu, Ming-Shih

1991-12-01T23:59:59.000Z

262

"Table A16. Components of Total Electricity Demand by Census Region, Industry"  

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

6. Components of Total Electricity Demand by Census Region, Industry" 6. Components of Total Electricity Demand by Census Region, Industry" " Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Groups and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

263

Free biholomorphic classification of noncommutative domains  

E-Print Network (OSTI)

In this paper we develop a theory of free holomorphic functions on noncommutative Reinhardt domains generated by positive regular free holomorphic functions in n noncommuting variables. We show that the free biholomorphic classification of these domains is the same as the classification, up to unital completely isometric isomorphisms, of the corresponding noncommutative domain algebras.

Popescu, Gelu

2010-01-01T23:59:59.000Z

264

Ethnicity classification based on a hierarchical fusion  

Science Conference Proceedings (OSTI)

In this paper, we propose a cascaded multimodal biometrics system involving a fusion of frontal face and lateral gait, for the specific problem of ethnicity classification. This system performs human ethnicity classification first from the cues of gait ... Keywords: ethnicity, face, fusion, gait

De Zhang; Yunhong Wang; Zhaoxiang Zhang

2012-12-01T23:59:59.000Z

265

Classification of Supertransitive 2-Webs on Surfaces  

Science Conference Proceedings (OSTI)

We obtain a complete classification of supertransitive 2-webs on a closed oriented surface of genus p ? 1 in terms of asymptotic directions of leaves on the universal covering surface and represent all topological classes of 2-webs by means ... Keywords: Anosov and pseudo-Anosov diffeomorphisms, geodesic laminations, supertransitive webs, topological classification

S. Kh. Aranson; V. Z. Grines; V. A. Kaimanovich

2003-10-01T23:59:59.000Z

266

Classification with dynamic reducts and belief functions  

Science Conference Proceedings (OSTI)

In this paper, we propose two approaches of classification namely, Dynamic Belief Rough Set Classifier (D-BRSC) and Dynamic Belief Rough Set Classifier based on Generalization Distribution Table (D-BRSC-GDT). Both the classifiers are induced from uncertain ... Keywords: belief function theory, classification, dynamic reduct, generalization distribution table, rough sets, uncertainty

Salsabil Trabelsi; Zied Elouedi; Pawan Lingras

2011-01-01T23:59:59.000Z

267

Environmental Noise Source Classification Using Neural Networks  

Science Conference Proceedings (OSTI)

Neural networks have been applied to many interesting problems in different areas including noise identification/recognition. With this study, we studied noise classification using artificial neural networks (ANN). Three commonly encountered non-stationary ... Keywords: ACF-based feature parameter, environmental noise classification, Neural Networks (ANN)

Buket D. Barkana; Inci Saricicek

2010-04-01T23:59:59.000Z

268

Status of MARS Code  

SciTech Connect

Status and recent developments of the MARS 14 Monte Carlo code system for simulation of hadronic and electromagnetic cascades in shielding, accelerator and detector components in the energy range from a fraction of an electronvolt up to 100 TeV are described. these include physics models both in strong and electromagnetic interaction sectors, variance reduction techniques, residual dose, geometry, tracking, histograming. MAD-MARS Beam Line Build and Graphical-User Interface.

N.V. Mokhov

2003-04-09T23:59:59.000Z

269

NSLS Industrial User Program  

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

| Industrial Program Coordinator | Publications Courtesy of The New York Times, Noah Berger The overall goal of the plan to enhance the NSLS facility's Industrial Users'...

270

Uranium industry annual 1997  

SciTech Connect

This report provides statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing.

NONE

1998-04-01T23:59:59.000Z

271

Construction Industry Institute  

Science Conference Proceedings (OSTI)

... in one of our country's most vital industries. ... An industry-led program to disseminate practical ... fire-proofing materials, connections, and steel trusses; ...

2010-10-05T23:59:59.000Z

272

MELCOR computer code manuals  

Science Conference Proceedings (OSTI)

MELCOR is a fully integrated, engineering-level computer code that models the progression of severe accidents in light water reactor nuclear power plants. MELCOR is being developed at Sandia National Laboratories for the U.S. Nuclear Regulatory Commission as a second-generation plant risk assessment tool and the successor to the Source Term Code Package. A broad spectrum of severe accident phenomena in both boiling and pressurized water reactors is treated in MELCOR in a unified framework. These include: thermal-hydraulic response in the reactor coolant system, reactor cavity, containment, and confinement buildings; core heatup, degradation, and relocation; core-concrete attack; hydrogen production, transport, and combustion; fission product release and transport; and the impact of engineered safety features on thermal-hydraulic and radionuclide behavior. Current uses of MELCOR include estimation of severe accident source terms and their sensitivities and uncertainties in a variety of applications. This publication of the MELCOR computer code manuals corresponds to MELCOR 1.8.3, released to users in August, 1994. Volume 1 contains a primer that describes MELCOR`s phenomenological scope, organization (by package), and documentation. The remainder of Volume 1 contains the MELCOR Users Guides, which provide the input instructions and guidelines for each package. Volume 2 contains the MELCOR Reference Manuals, which describe the phenomenological models that have been implemented in each package.

Summers, R.M.; Cole, R.K. Jr.; Smith, R.C.; Stuart, D.S.; Thompson, S.L. [Sandia National Labs., Albuquerque, NM (United States); Hodge, S.A.; Hyman, C.R.; Sanders, R.L. [Oak Ridge National Lab., TN (United States)

1995-03-01T23:59:59.000Z

273

A multiresolution spectral angle-based hyperspectral classification method  

Science Conference Proceedings (OSTI)

Due to the lack of training samples, hyperspectral classification often adopts the minimum distance classification method based on spectral metrics. This paper proposes a novel multiresolution spectral-angle-based hyperspectral classification method, ...

Jin Chen; Runsheng Wang; Cheng Wang

2008-06-01T23:59:59.000Z

274

Fuzzy one-class classification model using contamination neighborhoods  

Science Conference Proceedings (OSTI)

A fuzzy classification model is studied in the paper. It is based on the contaminated (robust) model which produces fuzzy expected risk measures characterizing classification errors. Optimal classification parameters of the models are derived by minimizing ...

Lev V. Utkin

2012-01-01T23:59:59.000Z

275

Industrial Applications of Renewable Resources  

Science Conference Proceedings (OSTI)

Archive of Industrial Applications of Renewable Resources Industrial Applications of Renewable Resources Cincinnati, Ohio, USA Industrial Applications of Renewable Resources ...

276

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

277

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

278

Michigan | Building Energy Codes Program  

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

Michigan Michigan Last updated on 2013-06-03 Commercial Residential Code Change Current Code ASHRAE Standard 90.1-2007 with Amendments Amendments / Additional State Code Information 2009 Commercial MI Uniform Energy Code Rules Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Michigan (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to ASHRAE 90.1-2007 Effective Date 03/09/2011 Adoption Date 11/08/2010 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: No ASHRAE 90.1-2010: No Michigan DOE Determination Letter, May 31, 2013 Current Code 2009 IECC with Amendments Amendments / Additional State Code Information 2009 Residential MI Uniform Energy Code Rules Approved Compliance Tools Can use REScheck

279

Minnesota | Building Energy Codes Program  

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

Minnesota Minnesota Last updated on 2013-06-03 Current News The 2009 editions of the International Residential Code (IRC), International Building Code (IBC), and International Fire Code (IFC) will be published soon and the Construction Codes and Licensing Division and the State Fire Marshal Division have been discussing this adoption. Commercial Residential Code Change Current Code ASHRAE Standard 90.1-2004 with Amendments Amendments / Additional State Code Information Commercial Energy Code Approved Compliance Tools Compliance forms can be downloaded from ASHRAE State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Minnesota (BECP Report, Sept. 2009) Approximate Energy Efficiency Less energy efficient than ASHRAE 90.1-2004 Effective Date 06/01/2009

280

News | Building Energy Codes Program  

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

News News A variety of resources and news from BECP, states, and other news sources are available for anyone interested in learning more about building energy codes. This includes newsletters, articles, links and more. To receive BECP News and other updates from the Building Energy Codes Program via email, join our mailing list. Featured Codes News DOE Activities and Methodology for Assessing Compliance With Building Energy Codes RFI Mayors Urge Cities to Strengthen Energy Code AZ Legislature Preserves Local Control of Building Energy Efficiency Codes Washington State Home Builders Lead the Nation in Energy Code Compliance Mississippi Invests in Future Growth With Adoption of Best-in-Class Energy Efficiency Legislation Energy 2030 Report Calls for Stricter Energy Building Codes

Note: This page contains sample records for the topic "industrial classification code" 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

Nevada Energy Code for Buildings  

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

''Much of the information presented in this summary is drawn from the U.S. Department of Energy’s (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more...

282

Matlab-Kinect Interface Code  

E-Print Network (OSTI)

This .zip file contains code and installation instructions for acquiring 3d arm movements in Matlab using the Microsoft Kinect 3d camera. The provided code has been validated in 32-bit and 64-bit Matlab with 32-bit and ...

Kowalski, Kevin

2012-06-01T23:59:59.000Z

283

Code Completion From Abbreviated Input  

E-Print Network (OSTI)

Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated input - a different approach from conventional ...

Miller, Robert C.

284

Quantum codes on Hurwitz surfaces  

E-Print Network (OSTI)

Ever since the birth of the first quantum error correcting code, many error correcting techniques and formalism has been constructed so far. Among those, generating a quantum code on a locally planar geometry have lead to ...

Kim, Isaac H. (Isaac Hyun)

2007-01-01T23:59:59.000Z

285

Georgia | Building Energy Codes Program  

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

Georgia Georgia Last updated on 2013-07-18 Commercial Residential Code Change Current Code 2009 IECC with Amendments Amendments / Additional State Code Information GA Amendments Approved Compliance Tools Can use COMcheck Must choose ASHRAE 90.1-2007 as code option. State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Georgia (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to 2009 IECC Effective Date 01/01/2011 Adoption Date 11/03/2010 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: Yes ASHRAE 90.1-2010: No Georgia State Certification of Commercial and Residential Building Codes Extension Request Current Code 2009 IECC with Amendments Amendments / Additional State Code Information GA Amendments Approved Compliance Tools Can use REScheck

286

Clustering in the Biotechnology Industry  

E-Print Network (OSTI)

the number of biotechnology firms in a zip code to variouscharacteristics of that zip code: pop i (the population in zip code i), dcu i (the distance between

Stuart O. Schweitzer; Judith Connell; Frederic P. Schoenberg

2011-01-01T23:59:59.000Z

287

Clustering in the Biotechnology Industry  

E-Print Network (OSTI)

the number of biotechnology firms in a zip code to variouscharacteristics of that zip code: pop i (the population in zip code i), dcu i (the distance between

Schweitzer, Stuart O; Connell, Judith; Schoenberg, Frederic P.

2004-01-01T23:59:59.000Z

288

Carbon Emissions: Iron and Steel Industry  

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

Iron and Steel Industry Iron and Steel Industry Carbon Emissions in the Iron and Steel Industry The Industry at a Glance, 1994 (SIC Code: 3312) Total Energy-Related Emissions: 39.9 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 10.7% -- Nonfuel Emissions: 22.2 MMTC Total First Use of Energy: 1,649 trillion Btu -- Pct. of All Manufacturers: 7.6% Nonfuel Use of Energy: 886 trillion Btu (53.7%) -- Coal: 858 trillion Btu (used to make coke) Carbon Intensity: 24.19 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 39.9 Coal 22.7

289

2009 Solar Decathlon Building Code  

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

BUILDING CODE Last Updated: September 29, 2008 2009 Solar Decathlon Building Code i September 29, 2008 Contents Section 1. Introduction ............................................................................................................................................................. 1 Section 2. Adopted Codes ........................................................................................................................................................ 1 Section 3. Building Planning and Construction .............................................................................................................. 1 3-1. Fire Protection and Prevention ................................................................................................................................. 1

290

Code for Hydrogen Hydrogen Pipeline  

E-Print Network (OSTI)

#12;2 Code for Hydrogen Pipelines Hydrogen Pipeline Working Group Workshop Augusta, Georgia August development · Charge from BPTCS to B31 Standards Committee for Hydrogen Piping/Pipeline code development · B31.12 Status & Structure · Hydrogen Pipeline issues · Research Needs · Where Do We Go From Here? #12;4 Code

291

Classification Bulletin GEN-16 Revision | Department of Energy  

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

Classification Bulletin GEN-16 Revision Classification Bulletin GEN-16 Revision Provides guidance to DOE Federal and contractor employees with access to classified information on...

292

Brochure, Classification Bulletin GEN-16 - February 2012 | Department...  

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

Bulletin GEN-16 - February 2012 Brochure, Classification Bulletin GEN-16 - February 2012 This brochure provides information on Classification Bulletin GEN-16, No Comment Policy on...

293

Security Framework for Control System Data Classification and...  

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

Framework for Control System Data Classification and Protection Security Framework for Control System Data Classification and Protection This document presents a data...

294

Climate VISION: Industry Associations  

Office of Scientific and Technical Information (OSTI)

Industry Associations Industry Associations Aluminum Aluminum Association (Coordinating aluminum industry Climate VISION activities) The Aluminum Association, Inc. is the trade association for producers of primary aluminum, recyclers and semi-fabricated aluminum products, as well as suppliers to the industry. The Association provides leadership to the industry through its programs and services which aim to enhance aluminum's position in a world of proliferating materials, increase its use as the "material of choice," remove impediments to its fullest use, and assist in achieving the industry's environmental, societal, and economic objectives. Automobile Manufacturers Alliance of Automobile Manufacturers (Coordinating automobile industry Climate VISION activities) The Alliance of Automobile Manufacturers, Inc. is a trade association

295

Calling All Coders: Help Advance America's Ocean Power Industry |  

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

Calling All Coders: Help Advance America's Ocean Power Industry Calling All Coders: Help Advance America's Ocean Power Industry Calling All Coders: Help Advance America's Ocean Power Industry December 10, 2013 - 3:57pm Addthis The Energy Department has launched a new coding competition to help industry develop new models and tools that improve the design, development, and optimization of marine and hydrokinetic devices. | Graphic courtesy of TopCoder The Energy Department has launched a new coding competition to help industry develop new models and tools that improve the design, development, and optimization of marine and hydrokinetic devices. | Graphic courtesy of TopCoder Alison LaBonte Marine and Hydrokinetic Technology Manager Brooke White Oceanographer, Water Power Program

296

City of Los Angeles - Zoning Code | Department of Energy  

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

Zoning Code Zoning Code City of Los Angeles - Zoning Code < Back Eligibility Commercial Industrial Residential Savings Category Solar Buying & Making Electricity Heating & Cooling Commercial Heating & Cooling Heating Water Heating Program Info State California Program Type Solar/Wind Access Policy Provider Los Angeles Department of Water and Power Chapter I of Los Angeles' Municipal Code, Height of Building or Structures, provides an exemption for solar energy devices, or similar structures. They may be erected above the height limit specified in the district in which the property is located. In all zones, solar devices may exceed the roof surface by 3 feet even if the roof surface is at or above the allowable building height limit. In all zones except R1 and more restrictive zones,

297

Gas Code of Conduct (Connecticut) | Department of Energy  

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

Gas Code of Conduct (Connecticut) Gas Code of Conduct (Connecticut) Gas Code of Conduct (Connecticut) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Program Info State Connecticut Program Type Safety and Operational Guidelines Provider Public Utilities Regulatory Authority The Gas Code of Conduct sets forth the standard of conduct for transactions, direct or indirect, between gas companies and their affiliates. The purpose of these regulations is to promote competitive

298

The Building Codes Assistance Project (BCAP) | Open Energy Information  

Open Energy Info (EERE)

The Building Codes Assistance Project (BCAP) The Building Codes Assistance Project (BCAP) Jump to: navigation, search BCAP was established in 1994 as a joint initiative of the Alliance to Save Energy, the American Council for an Energy-Efficient Economy, and the Natural Resources Defense Council. BCAP provides custom-tailored assistance on building energy code adoption and implementation. We assist state and local regulatory and legislative bodies and help coordinate others representing environmental interests, consumers, labor, and industry. BCAP provides states with code advocacy assistance on behalf of the U.S. Department of Energy and coordinates with DOE on technical assistance (see www.energycodes.gov for more information). In addition, BCAP receives funding from multiple foundations, the U.S. EPA,

299

Marin County - Solar Access Code | Department of Energy  

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

Marin County - Solar Access Code Marin County - Solar Access Code Marin County - Solar Access Code < Back Eligibility Commercial Industrial Residential Savings Category Heating & Cooling Commercial Heating & Cooling Solar Heating Program Info State California Program Type Solar/Wind Access Policy Provider Marin County Community Development Agency Marin County's Energy Conservation Code is designed to assure new subdivisions provide for future passive or natural heating or cooling opportunities in the subdivision to the extent feasible. Streets, lots, and building setbacks must be designed so that habitable buildings are oriented with their long axis running east to west (with a possible variation of thirty degrees to the southwest and thirty degrees to the southeast) for the purpose of solar access. The planning director or planning commission

300

Oil and gas field code master list, 1983. [Glossary included  

Science Conference Proceedings (OSTI)

This report is the second annual listing of all identified oil and gas fields in the United States with field information collected through November 1983. The purpose of the publication is to provide codes for easy identification of domestic fields. A standardization of these field codes will foster consistency in field identification by government and industry. The use of field names and codes listed in this publication is required on the survey forms and reports regarding field-specific data for the Energy Information Administration (EIA) and the Federal Energy Regulatory Commission. A glossary of the terms is provided to assist the readers in more fully understanding the information in this Field Code Master List. 8 figures, 4 tables.

Not Available

1984-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial classification code" 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

OM Code Requirements For MOVs -- OMN-1 and Appendix III  

SciTech Connect

The purpose or scope of the ASME OM Code is to establish the requirements for pre-service and in-service testing of nuclear power plant components to assess their operational readiness. For MOVs this includes those that perform a specific function in shutting down a reactor to the safe shutdown condition, maintaining the safe shutdown condition, and mitigating the consequences of an accident. This paper will present a brief history of industry and regulatory activities related to MOVs and the development of Code requirements to address weaknesses in earlier versions of the OM Code. The paper will discuss the MOV requirements contained in the 2009 version of ASME OM Code, specifically Mandatory Appendix III and OMN-1, Revision 1.

Kevin G. DeWall

2011-08-01T23:59:59.000Z

302

Standards & Codes in Emerging Technologies | Department of Energy  

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

Emerging Technologies » Standards & Codes in Emerging Technologies Emerging Technologies » Standards & Codes in Emerging Technologies Standards & Codes in Emerging Technologies Developing innovative technologies that increase building energy efficiency is one of the primary goals of research being conducted between the U.S. Department of Energy, laboratories, and industry partners. Once new technologies or practices are introduced into the broader market and become widely-adopted, the U.S. Department of Energy (DOE) may seek to set a new baseline standard for energy efficiency, and may work with state and local governments to update building energy codes. Appliance and Equipment Standards New and innovative technologies developed by researchers and partners help improve building energy efficiency, and if these technologies become

303

Data driven process monitoring based on neural networks and classification trees  

E-Print Network (OSTI)

Process monitoring in the chemical and other process industries has been of great practical importance. Early detection of faults is critical in avoiding product quality deterioration, equipment damage, and personal injury. The goal of this dissertation is to develop process monitoring schemes that can be applied to complex process systems. Neural networks have been a popular tool for modeling and pattern classification for monitoring of process systems. However, due to the prohibitive computational cost caused by high dimensionality and frequently changing operating conditions in batch processes, their applications have been difficult. The first part of this work tackles this problem by employing a polynomial-based data preprocessing step that greatly reduces the dimensionality of the neural network process model. The process measurements and manipulated variables go through a polynomial regression step and the polynomial coefficients, which are usually of far lower dimensionality than the original data, are used to build a neural network model to produce residuals for fault classification. Case studies show a significant reduction in neural model construction time and sometimes better classification results as well. The second part of this research investigates classification trees as a promising approach to fault detection and classification. It is found that the underlying principles of classification trees often result in complicated trees even for rather simple problems, and construction time can excessive for high dimensional problems. Fisher Discriminant Analysis (FDA), which features an optimal linear discrimination between different faults and projects original data on to perpendicular scores, is used as a dimensionality reduction tool. Classification trees use the scores to separate observations into different fault classes. A procedure identifies the order of FDA scores that results in a minimum tree cost as the optimal order. Comparisons to other popular multivariate statistical analysis based methods indicate that the new scheme exhibits better performance on a benchmarking problem.

Zhou, Yifeng

2004-08-01T23:59:59.000Z

304

Development | Building Energy Codes Program  

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

Printable Version Printable Version Development Commercial Residential Adoption Compliance Regulations Resource Center Development The U.S. Department of Energy (DOE) supports and participates in the model building energy code development processes administered by the ASHRAE and the International Code Council (ICC). DOE activities include developing and submitting code change proposals, conducting analysis of building energy efficiency and cost savings, and formulating underlying evaluation methodologies. Through participation in model energy code development for both commercial and residential buildings, DOE strives to make cost-effective, energy efficient upgrades to current model codes. DOE also establishes energy efficiency standards for federal buildings and manufactured housing. Further information on this process is defined under

305

Ohio | Building Energy Codes Program  

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

Ohio Ohio Last updated on 2013-10-21 Commercial Residential Code Change Current Code 2009 IECC Amendments / Additional State Code Information Ohio's commercial code is the 2009 IECC with a direct reference to ASHRAE 90.1-07. Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Ohio (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to 2009 IECC Effective Date 11/01/2011 Adoption Date 03/07/2011 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: Yes ASHRAE 90.1-2010: No Ohio DOE Determination Letter, May 31, 2013 Ohio State Certification of Commercila and Residential Building Energy Codes Current Code 2009 IECC with Amendments Amendments / Additional State Code Information Effective January 1, 2013 the residential code in Ohio is based on Chapter 11 of the 2009 IRC. It includes the 2009 IECC and state-specific alternative compliance paths. The 2013 Residential Code of Ohio (RCO) contains amendments to allow compliance to be demonstrated in three ways: (1) 2009 IECC; or (2) RCO Sections 1101 through 1104; or RCO Section 1105 ("The Ohio Homebuilder's Association Alternative Energy Code Option").

306

Pennsylvania | Building Energy Codes Program  

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

Pennsylvania Pennsylvania Last updated on 2013-11-05 Commercial Residential Code Change Current Code 2009 IECC Amendments / Additional State Code Information Pennsylvania's current code is the 2009 IECC with reference to ASHRAE 90.1-2007. Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Pennsylvania (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to 2009 IECC Effective Date 12/31/2009 Adoption Date 12/10/2009 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: Yes ASHRAE 90.1-2010: No Pennsylvania DOE Determination Letter, May 31, 2013 Pennsylvania State Certification of Commercial and Residential Building Energy Codes Current Code 2009 IECC Amendments / Additional State Code Information Pennsylvania's current residential code is the 2009 IECC, 2009 IRC, Chapter 11, and/or PA-Alt. Adherence to Pennsylvania's Alternative Residential Energy Provisions 2009 is an acceptable means of demonstrating compliance with the energy conservation code requirements of the Uniform Construction Code.

307

Northern Mariana Islands | Building Energy Codes Program  

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

No Code Change Process Legislative Code Change Cycle None Timeline of Cycle None Adoption Process The Building Safety Code was developed through legislative action. The rules and...

308

Wyoming | Building Energy Codes Program  

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

Wyoming Wyoming Last updated on 2013-06-03 Commercial Residential Code Change Current Code None Statewide Amendments / Additional State Code Information The International Conference of Building Officials (ICBO) Uniform Building Code, which is based on the 1989 Model Energy Code (MEC), may be adopted and enforced by local jurisdictions. Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE Standard 90.1-2007 for Commercial Buildings in the State of Wyoming (BECP Report, Sept. 2009) Approximate Energy Efficiency Less energy efficient than 2003 IECC Effective Date 08/13/2008 Code Enforcement Voluntary DOE Determination ASHRAE Standard 90.1-2007: No ASHRAE Standard 90.1-2010: No Wyoming DOE Determination Letter, May 31, 2013 Current Code None Statewide

309

Kentucky | Building Energy Codes Program  

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

Kentucky Kentucky Last updated on 2013-08-02 Current News Kentucky moves forward with the 2009 IECC by reference in their updated 2007 Kentucky Building Code. 2009 IECC is effective 3/6/2011 with mandatory compliance beginning 6/1/2011. Kentucky residential code was also updated to the 2009 IECC. The code is effective 7/1/2012 with an enforcement date of 10/1/2012. Commercial Residential Code Change Current Code 2009 IECC with Amendments Amendments / Additional State Code Information Amendments are contained in the latest update to the 2007 Kentucky Building Code. Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Kentucky (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to 2009 IECC

310

Policies for Promoting Industrial Energy Efficiency in Developing Countries  

Open Energy Info (EERE)

Policies for Promoting Industrial Energy Efficiency in Developing Countries Policies for Promoting Industrial Energy Efficiency in Developing Countries and Transition Economies Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policies for Promoting Industrial Energy Efficiency in Developing Countries and Transition Economies Focus Area: Industry Topics: Policy Data Website: www.unido.org/fileadmin/media/documents/pdf/Energy_Environment/ind_ene Equivalent URI: cleanenergysolutions.org/content/policies-promoting-industrial-energy- Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Industry Codes & Standards Regulations: Energy Standards This paper presents policy options under the structure of an Industrial

311

Association of Wire Code Configuration with Long-Term Average 60-Hz Magnetic Fields and Exposure: Data Set Documentation  

Science Conference Proceedings (OSTI)

The Long-Term Wire Code (LTWC) Study data set contains measurement data, measurement summaries, and descriptive residence and neighborhood information collected over a 42-month exposure period. The study -- designed to assess the association between wire code classification and long-term 60-Hz magnetic fields -- involved periodic measurements in a random sample of 218 homes in eight geographically diverse metropolitan areas of the United States. The data set consists of numerous data products containing ...

2000-11-13T23:59:59.000Z

312

" Generation, by Program Sponsorship, Industry Group, Selected"  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity" Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity" " Generation, by Program Sponsorship, Industry Group, Selected" " Industries, and Type of Energy-Management Program, 1994: Part 2" ,,,," Type of Sponsorship of Management Programs" ,,,,,"(1992 through 1994)" ,," " ,,,,,,"Federal, State, or" ,,"No Energy",,"Electric Utility",,"Local Government","Third Party","RSE" "SIC",,"Management","Any Type of","Sponsored","Self-Sponsored","Sponsored","Sponsored","Row" "Code(a)"," Industry Group and Industry","Program(b)","Sponsorship","Involvement","Involvement","Involvement","Involvement","Factors"

313

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

314

Industrial Decision Making  

E-Print Network (OSTI)

Domestic industrial investment has declined due to unfavorable energy prices, and external markets. Investment behavior has changed over the past few years, and will continue due to high labor costs, tight markets and an unstable U.S. economy although, freight costs, favorable exchange rates and high capacity utilization will encourage future industrial investment. Industry will eventually enter a new period of major investment. Future industrial investment will be an opportunity to influence the energy efficiency of these facilities for generations to come. Program managers must begin engaging industrial customers now, in order to exploit this unprecedented opportunity to change future energy use patterns. This paper reviews recent market trends and industrial investment decision-making. The paper will also address several important questions: • Why has industrial investment declined? • What is the outlook for industrial investment? • How can programs engage industry for future opportunities?

Elliott, R. N.; McKinney, V.; Shipley, A.

2008-01-01T23:59:59.000Z

315

Building Energy Codes News | Building Energy Codes Program  

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

Building Energy Codes News Building Energy Codes News News Category: National Policy DOE Activities and Methodology for Assessing Compliance With Building Energy Codes RFI Posted: Tuesday, August 6, 2013 On August 6, DOE published an RFI on its methodology for assessing code compliance into the Federal Register. Based on feedback received from the individual state compliance pilot studies in 2011-2012, the RFI seeks input on DOE's methodology and fundamental assumptions from the general public. Read the full article... Source: U.S. Department of Energy Building Energy Codes Program Energy 2030 Report Calls for Stricter Energy Building Codes Posted: Tuesday, February 12, 2013 The Alliance Commission on National Energy Efficiency Policy aims to double US energy productivity by 2030, and one of its many ways to achieve that

316

Sanyal Temperature Classification | Open Energy Information  

Open Energy Info (EERE)

Sanyal Temperature Classification Sanyal Temperature Classification Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Sanyal Temperature Classification The information for this page was taken directly from Subir Sanyal's paper, Classification of Geothermal Systems: A Possible Scheme (Stanford, February 2, 2005) At the request of the United States Department of Energy, the author was asked by the Geothermal Energy Association (Washington, D.C.) to prepare a white paper on the subject (in connection with a new national assessment of geothermal resources). This paper offers a possible scheme in which geothermal resources are classified into seven categories based on temperature. This scheme is based not only on temperature but also according to a set of additional attributes important for practical utilization of geothermal

317

Mutation testing strategies using mutant classification  

Science Conference Proceedings (OSTI)

Mutation testing has a widespread reputation of being a rather powerful testing technique. However, its practical application requires the detection of equivalent mutants. Detecting equivalent mutants is cumbersome since it requires manual analysis, ... Keywords: mutant classification, mutants' impact, mutation testing

Mike Papadakis; Yves Le Traon

2013-03-01T23:59:59.000Z

318

A Classification Scheme for Satellite Temperature Retrievals  

Science Conference Proceedings (OSTI)

A new approach is presented to the problem of specifying constraints on retrieval estimators used to calculate vertical temperature profiles from satellite measurements of upwelling radiance. An unsupervised classification scheme determines the ...

M. J. Uddstrom; D. Q. Wark

1985-01-01T23:59:59.000Z

319

Evaluation for Uncertain Image Classification and Segmentation  

E-Print Network (OSTI)

Each year, numerous segmentation and classification algorithms are invented or reused to solve problems where machine vision is needed. Generally, the efficiency of these algorithms is compared against the results given by one or many human experts. However, in many situations, the location of the real boundaries of the objects as well as their classes are not known with certainty by the human experts. Furthermore, only one aspect of the segmentation and classification problem is generally evaluated. In this paper we present a new evaluation method for classification and segmentation of image, where we take into account both the classification and segmentation results as well as the level of certainty given by the experts. As a concrete example of our method, we evaluate an automatic seabed characterization algorithm based on sonar images.

Martin, Arnaud; Arnold-Bos, Andreas

2008-01-01T23:59:59.000Z

320

Classification of Unseen Examples under Uncertainty  

Science Conference Proceedings (OSTI)

Very frequently machine learning from real-life data is affected by uncertainty. There are three main reasons for imperfection in data: incompleteness, imprecision (also called vagueness), and errors. In this paper the main emphasis is on classification ...

Jerzy W. Grzymala-Busse

1997-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial classification code" 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

Improved VSM for Incremental Text Classification  

Science Conference Proceedings (OSTI)

As a simple classification method VSM has been widely applied in text information processing field. There are some problems for traditional VSM to select a refined vector model representation

Zhen Yang; Jianjun Lei; Jian Wang; Xing Zhang; Jim Guo

2008-01-01T23:59:59.000Z

322

Commercial Codes and Standards | Building Energy Codes Program  

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

(or non-residential) buildings, in the context of building energy codes and standards, are all buildings other than low-rise residential buildings, including multi-family...

323

Network Coded Transmission of Fountain Codes over Cooperative Relay Networks  

E-Print Network (OSTI)

In this paper, a transmission strategy of fountain codes over cooperative relay networks is proposed. When more than one relay nodes are available, we apply network coding to fountain-coded packets. By doing this, partial information is made available to the destination node about the upcoming message block. It is therefore able to reduce the required number of transmissions over erasure channels, hence increasing the effective throughput. Its application to wireless channels with Rayleigh fading and AWGN noise is also analysed, whereby the role of analogue network coding and optimal weight selection is demonstrated.

Kurniawan, E; Yen, K; Chong, K F E

2010-01-01T23:59:59.000Z

324

About Building Energy Codes | Building Energy Codes Program  

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

buildings account for approximately 41% of all energy consumption and 72% of electricity usage. Building energy codes increase energy efficiency in buildings, resulting in...

325

Building Energy Code Resource Guide: Code Officials Edition ...  

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

includes practical plan review and inspection resources, including the U.S. Department of Energy Building Energy Codes Program's REScheck(tm) and COMcheck(tm) quick reference...

326

Jacobian code generated by source transformation and vertex elimination is as efficient as hand coding  

E-Print Network (OSTI)

Jacobian code generated by source transformation and vertex elimination is as efficient as hand coding

Forth, S A; Pryce, J D; Reid, J K

2002-01-01T23:59:59.000Z

327

Automatic recommendation of classification algorithms based on data set characteristics  

Science Conference Proceedings (OSTI)

Choosing appropriate classification algorithms for a given data set is very important and useful in practice but also is full of challenges. In this paper, a method of recommending classification algorithms is proposed. Firstly the feature vectors of ... Keywords: Algorithm performance, Classification, Classification algorithm automatic recommendation, Data set characteristics extraction, k-Nearest Neighbors

Qinbao Song; Guangtao Wang; Chao Wang

2012-07-01T23:59:59.000Z

328

A Study of Hierarchical and Flat Classification of Proteins  

Science Conference Proceedings (OSTI)

Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that expert-defined hierarchies of protein classes exist and can potentially ... Keywords: Protein classification, hierarchical classification, multiclass classification.

Arthur Zimek; Fabian Buchwald; Eibe Frank; Stefan Kramer

2010-07-01T23:59:59.000Z

329

Building Energy Code | Department of Energy  

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

Building Energy Code Building Energy Code Eligibility Commercial Residential Savings For Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial...

330

Building Energy Code | Department of Energy  

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

Code Building Energy Code Eligibility Commercial Residential Savings For Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling...

331

Delaware | Building Energy Codes Program  

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

Site Map Printable Version Development Adoption Adoption Process State Technical Assistance Status of State Energy Code Adoption Compliance Regulations Resource Center Delaware Last updated on 2013-08-02 Commercial Residential Code Change Current Code 2009 IECC with Amendments Amendments / Additional State Code Information Agriculture structures are excluded. Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Delaware (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to 2009 IECC Effective Date 07/01/2010 Adoption Date 07/29/2009 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: Yes ASHRAE 90.1-2010: No Delaware DOE Determination Letter, May 31, 2013 Delaware State Certification of Commercial and Residential Building Energy Codes

332

Arkansas | Building Energy Codes Program  

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

Arkansas Arkansas Last updated on 2013-12-10 Current News ASHRAE 90.1-2007 became the effective commercial code in Arkansas on January 1, 2013. Commercial Residential Code Change Current Code ASHRAE Standard 90.1-2007 with Amendments Amendments / Additional State Code Information Arkansas Supplements and Amendments Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Arkansas Approximate Energy Efficiency Equivalent to ASHRAE 90.1-2007 Effective Date 01/01/2013 Adoption Date 01/13/2012 Code Enforcement Mandatory DOE Determination ASHRAE Standard 90.1-2007: Yes ASHRAE Standard 90.1-2010: No Energy cost savings for Arkansas resulting from the state updating its commercial and residential building energy codes in accordance with federal law are significant, estimated to be on the order of nearly $100 million annually by 2030.

333

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Offsite-Produced Fuel Consumption, 2010;" 1 Offsite-Produced Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,"Coke" ,,,,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze" "NAICS",,"Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)" "Code(a)","Subsector and Industry","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","short tons)","(trillion Btu)"

334

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2010;" 2 Offsite-Produced Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,"Residual","Distillate",,"LPG and",,"Coke" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1113,258,12,22,579,5,182,2,54 3112," Grain and Oilseed Milling",346,57,"*",1,121,"*",126,0,41

335

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Fuel Consumption, 2006;" 1 Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,,,,"Coke" ,,,,"Net",,"Residual","Distillate","Natural Gas(d)",,"LPG and","Coal","and Breeze" "NAICS",,"Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","(billion",,"NGL(e)","(million","(million","Other(f)" "Code(a)","Subsector and Industry","(trillion Btu)",,"(million kWh)",,"(million bbl)","(million bbl)","cu ft)",,"(million bbl)","short tons)","short tons)","(trillion Btu)"

336

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2006;" 2 Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,"Net",,"Residual","Distillate",,,"LPG and",,,"Coke" "Code(a)","Subsector and Industry","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","Natural Gas(d)",,"NGL(e)",,"Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1186,,251,,26,16,635,,3,,147,1,107 3112," Grain and Oilseed Milling",317,,53,,2,1,118,,"*",,114,0,30

337

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2006;" 2 Offsite-Produced Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,,,"Residual","Distillate",,,"LPG and",,,"Coke" "Code(a)","Subsector and Industry","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","Natural Gas(d)",,"NGL(e)",,"Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1124,,251,,26,16,635,,3,,147,1,45 3112," Grain and Oilseed Milling",316,,53,,2,1,118,,"*",,114,0,28

338

Users from Industry  

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

Users from Industry Users from Industry Users from Industry Print The Advanced Light Source (ALS) welcomes industrial users from large and small companies whose projects advance scientific knowledge, investigate the development of new products and manufacturing methods, or provide economic benefits and jobs to the economy. The nature of industrial research can be different from traditional university and government sponsored projects, so the ALS has created unique opportunities for new and existing industrial users to access our user facilities and engage in productive relationships with our scientific and engineering staff. Examples of past and current research conducted at the ALS can be viewed on the Industry @ ALS Web page. There are several modes of access; the ALS User and Scientific Support Groups are especially committed to helping new industrial users gain a foothold in our user community and welcome inquiries about how to make that happen.

339

Industrial | Open Energy Information  

Open Energy Info (EERE)

to: navigation, search Click to return to AEO2011 page AEO2011 Data From AEO2011 report . Market Trends Despite a 54-percent increase in industrial shipments, industrial energy...

340

SEAMOPT - Stirling engine optimization code  

SciTech Connect

Experience is described with use of a fast-running Stirling engine optimization code developed at Argonne intended for public release. Stirling engine modeling is provided by the SEAM1 thermodynamic code. An interface was written to combine SEAM1 with a general optimization code and assess maximum component stress levels. Thus full engine thermodynamic and structural simulation is done during the optimization process. Several examples of the use of this code to optimize the GPU-3 engine are described. In one case efficiency was improved by over 25%.

Heames, T.J.; Daley, J.G.

1984-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial classification code" 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

Utah | Building Energy Codes Program  

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

compliance with the energy code requirements. The Division of Facilities Construction Management is responsible for enforcement for all state-owned or -funded buildings....

342

CQ - Code selection through query.  

E-Print Network (OSTI)

??This thesis proposes a query language for code selection. It is designed to work on virtual machine based languages and is intended to be used… (more)

ZENZARO, SIMONE

2010-01-01T23:59:59.000Z

343

The Copper Industry  

Science Conference Proceedings (OSTI)

...These products are sold to a wide variety of industrial users. Certain mill productsâ??chiefly wire, cable, and most

344

NIST Industry Day 2012  

Science Conference Proceedings (OSTI)

... at www.fedbizopps.gov. Search NIST-AMD-INDUSTRY-DAY-2012 in the Quick Search engine. Deadline for registration ...

2013-08-30T23:59:59.000Z

345

Industrial Development Projects (Montana)  

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

This legislation authorizes municipalities and counties to issue bonds or interest coupons to finance industrial projects, including energy generation facilities.

346

America's Booming Wind Industry  

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

Sharing key findings from two new Energy Department reports that highlight the record growth of America's wind industry.

347

A validation process for multi-phase reacting flow CFD code  

DOE Green Energy (OSTI)

Computational fluid dynamic (CFD) code calculates flow properties for the analysis of a flow system. Flow properties are computed based on conservation principles and various phenomenological models. The accuracy of the computed flow properties highly depends on the validity of the models and the degree of numerical convergence. Validation of a CFD code is essential for application of an engineering system. Multiphase reacting flows are common in industrial applications and few CFD code are available. A CFD code was developed for the simulation of multiphase reacting flows. A validation process was also developed for such a CFD code. The validation was performed for several cases. Examples of industrial devices which are multiphase reacting flow systems include catalytic cracking reactors, glass melting furnaces, coal-fired combustors, and diesel engines.

Chang, S. L.; Zhou, C. Q.; Petrick, M.

2000-05-09T23:59:59.000Z

348

Bureau of Construction Codes - 2009 Michigan Uniform Energy Code - Commercial  

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

These rules take effect March 9, 2011 (By authority conferred on the director of the department of energy, labor, and economic growth by section 4 of 1972 PA 230, MCL 125.1504, and Executive Reorganization Order Nos. 2003-1 and 2008-20, MCL 445.2011 and MCL 445.2025) R 408.31087, R 408.31088, R 408.31089, and R 408.31090 of the Michigan Administrative Code are amended and R 408.31087a is added to the code as follows: PART 10a MICHIGAN UNIFORM ENERGY CODE R 408.31087 Applicable code. Rule 1087. Rules governing the energy efficiency for the design and construction of buildings and structures, not including residential buildings, shall be those contained in the international energy conservation code, 2009 edition, section 501.1 and the ASHRAE

349

" by Type of Supplier, Census Region, Census Division, Industry Group,"  

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

3. Average Prices of Purchased Electricity and Steam" 3. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Dollars per Physical Units)" ,," Electricity",," Steam" ,," (kWh)",," (million Btu)" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

350

" Electricity Generation by Employment Size Categories, Industry Group, and"  

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

Total Consumption of Offsite-Produced Energy for Heat, Power, and" Total Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by Employment Size Categories, Industry Group, and" " Selected Industries, 1991" " (Estimates in Trillion Btu)" ,,,,,"Employment Size(b)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," ",,,,,"1,000","Row" "Code(a)","Industry Groups and Industry","Total","Under 50","50-99","100-249","250-499","500-999","and Over","Factors"," "," "," "," "," "," "

351

Transforming the Oil Industry into the Energy Industry  

E-Print Network (OSTI)

innovation and lets industry pick winning technologies. TheTransforming the Oil Industry intothe Energy Industry BY DANIEL SPERLING AND SONIA YEH A C C E

Sperling, Daniel; Yeh, Sonia

2009-01-01T23:59:59.000Z

352

From Industry Protection to Industry Promotion: IT Policy in Brazil  

E-Print Network (OSTI)

Brazilian banking automation industry. Science, TechnologyBrazilian liberalisation of the IT industry on technologicalWorking paper. Computer Industry Almanac, Inc. (1999).

Botelho, Antonio Jose Junqueira; Dedrick, Jason; Kraemer, Kenneth L.; Tigre, Paulo Bastos

1999-01-01T23:59:59.000Z

353

Main line natural gas sales to industrial users: 1978  

Science Conference Proceedings (OSTI)

Main line natural gas sales (in million cubic feet) by interstate natural gas companies to industrial users are itemized for 1974 to 1978. Information includes company name, customer name, customer's Standard Industrial Classification (SIC), the type of sale (where available and applicable), the delivery point, and the state involved in transactions. Tabulations summarize sales by SIC, by state and SIC, and by natural gas companies and SIC. Also summarized in the tables are sales by state and type (offpeak, interruptible, and not specified) for 1978. A brief narrative highlights recent trends and makes comparisons between the two most recent years. 5 tables.

Not Available

1980-01-08T23:59:59.000Z

354

Main line natural gas sales to industrial users, 1980  

Science Conference Proceedings (OSTI)

Main line natural gas sales (in million cubic feet) by interstate natural gas companies to industrial users and other public authorities are itemized for each year from 1976 through 1980. Information includes company name, customer name, customer's Standard Industrial Classification (SIC), the type of sale (where available and applicable), the delivery point, and the state involved in transactions. Tabulations summarize sales by SIC, by State and SIC, and by Natural Gas Companies and SIC. Also summarized in the tables and sales by State and type (offpeak interruptible, and not specified) for 1980 A brief narrative highlights recent trends and makes comparisons between the two most recent years. 5 tables.

Dillard, F.B.

1981-12-01T23:59:59.000Z

355

Main-line natural gas sales to industrial users 1979  

Science Conference Proceedings (OSTI)

Main line natural gas sales by interstate natural gas companies to industrial users are itemized for 1975 to 1979. Information includes company name, customer name, customer's standard industrial classification (SIC), the type of sale (where available), the delivery point, and the state involved in transactions. Tabulations summarize sales by SIC, by state and SIC, and by natural gas companies and SIC. Also summarized are sales by state and type (offpeak, interruptible, and not specified) for the year 1979. An accompanying narrative highlights recent trends and makes comparisons between the two most recent years. 5 tables.

Not Available

1981-02-01T23:59:59.000Z

356

Industry - ORNL Neutron Sciences  

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

Industry banner Industry banner Neutron scattering research has applications in practically every field, and neutron research at ORNL is leading to productive partnerships with the industrial and business communities. We welcome proposals for all types of research, including those involving proprietary work. Recent studies have led to discoveries with potential applications in fields such as medicine, energy, and various metals technologies. For more information, please see our recent research highlights. Research Collaborations Industry-Driven Research Benefits Plastics Manufacturing Corning uses VULCAN to test limits of ceramic material for car emission controls, filtration devices Neutrons Probe Inner Workings of Batteries Industry and Neutron Science: Working To Make a Match

357

Radiation transport phenomena and modeling - part A: Codes  

Science Conference Proceedings (OSTI)

The need to understand how particle radiation (high-energy photons and electrons) from a variety of sources affects materials and electronics has motivated the development of sophisticated computer codes that describe how radiation with energies from 1.0 keV to 100.0 GeV propagates through matter. Predicting radiation transport is the necessary first step in predicting radiation effects. The radiation transport codes that are described here are general-purpose codes capable of analyzing a variety of radiation environments including those produced by nuclear weapons (x-rays, gamma rays, and neutrons), by sources in space (electrons and ions) and by accelerators (x-rays, gamma rays, and electrons). Applications of these codes include the study of radiation effects on electronics, nuclear medicine (imaging and cancer treatment), and industrial processes (food disinfestation, waste sterilization, manufacturing.) The primary focus will be on coupled electron-photon transport codes, with some brief discussion of proton transport. These codes model a radiation cascade in which electrons produce photons and vice versa. This coupling between particles of different types is important for radiation effects. For instance, in an x-ray environment, electrons are produced that drive the response in electronics. In an electron environment, dose due to bremsstrahlung photons can be significant once the source electrons have been stopped.

Lorence, L.J.

1997-06-01T23:59:59.000Z

358

1995 building energy codes and standards workshops: Summary and documentation  

SciTech Connect

During the spring of 1995, Pacific Northwest National Laboratory (PNNL) conducted four two-day Regional Building Energy Codes and Standards workshops across the US. Workshops were held in Chicago, Denver, Rhode Island, and Atlanta. The workshops were designed to benefit state-level officials including staff of building code commissions, energy offices, public utility commissions, and others involved with adopting/updating, implementing, and enforcing building energy codes in their states. The workshops provided an opportunity for state and other officials to learn more about residential and commercial building energy codes and standards, the role of the US Department of Energy and the Building Standards and Guidelines Program at Pacific Northwest National Laboratory, Home Energy Rating Systems (HERS), Energy Efficient Mortgages (EEM), training issues, and other topics related to the development, adoption, implementation, and enforcement of building energy codes. Participants heard success stories, got tips on enforcement training, and received technical support materials. In addition to receiving information on the above topics, workshop participants had an opportunity to provide input on code adoption issues, building industry training issues, building design issues, and exemplary programs across the US. This paper documents the workshop planning, findings, and follow-up processes.

Sandahl, L.J.; Shankle, D.L.

1996-02-01T23:59:59.000Z

359

Uranium industry annual 1998  

SciTech Connect

The Uranium Industry Annual 1998 (UIA 1998) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. It contains data for the period 1989 through 2008 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data provides a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Data on uranium raw materials activities for 1989 through 1998, including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment, are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2008, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, and uranium inventories, are shown in Chapter 2. The methodology used in the 1998 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. The Form EIA-858 ``Uranium Industry Annual Survey`` is shown in Appendix D. For the readers convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix E along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 24 figs., 56 tabs.

NONE

1999-04-22T23:59:59.000Z

360

Uranium industry annual 1994  

SciTech Connect

The Uranium Industry Annual 1994 (UIA 1994) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing during that survey year. The UIA 1994 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the 10-year period 1985 through 1994 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data collected on the ``Uranium Industry Annual Survey`` (UIAS) provide a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1994, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. A feature article, ``Comparison of Uranium Mill Tailings Reclamation in the United States and Canada,`` is included in the UIA 1994. Data on uranium raw materials activities including exploration activities and expenditures, EIA-estimated resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities, including purchases of uranium and enrichment services, and uranium inventories, enrichment feed deliveries (actual and projected), and unfilled market requirements are shown in Chapter 2.

NONE

1995-07-05T23:59:59.000Z

Note: This page contains sample records for the topic "industrial classification code" 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

Louisiana | Building Energy Codes Program  

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

Louisiana Louisiana Last updated on 2013-08-02 Commercial Residential Code Change Current Code ASHRAE Standard 90.1-2007 Amendments / Additional State Code Information N/A Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Louisiana (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to ASHRAE 90.1-2007 Effective Date 07/20/2011 Adoption Date 07/20/2011 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: Yes ASHRAE 90.1-2010: No Louisiana DOE Determination Letter, May 31, 2013 Louisiana State Certification of Commercial and Residential Building Energy Codes Current Code 2006 IRC Amendments / Additional State Code Information Louisiana's current residential code is the 2006 IRC with direct reference to the 2006 IECC. All AC duct insulation is R6 instead of R8 and to include Section R301.2.1.1 of the 2003 edition of the IRC in lieu of Section R301.2.1.1 of the 2006 edition.

362

Signal compression by subband coding  

Science Conference Proceedings (OSTI)

This is a survey/tutorial paper on data compression using the technique of subband coding. This is widely used in practice, for example, in the MPEG audio coder. A subband coder has two main components: a filter bank that decomposes the source into components, ... Keywords: Compression, Filter banks, Subband coding

Bruce Francis; Soura Dasgupta

1999-12-01T23:59:59.000Z

363

Users from Industry  

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

Users from Industry Print Users from Industry Print The Advanced Light Source (ALS) welcomes industrial users from large and small companies whose projects advance scientific knowledge, investigate the development of new products and manufacturing methods, or provide economic benefits and jobs to the economy. The nature of industrial research can be different from traditional university and government sponsored projects, so the ALS has created unique opportunities for new and existing industrial users to access our user facilities and engage in productive relationships with our scientific and engineering staff. Examples of past and current research conducted at the ALS can be viewed on the Industry @ ALS Web page. There are several modes of access; the ALS User and Scientific Support Groups are especially committed to helping new industrial users gain a foothold in our user community and welcome inquiries about how to make that happen.

364

Online Discriminative Dictionary Learning for Image Classification Based on Block-Coordinate Descent Method  

E-Print Network (OSTI)

Previous researches have demonstrated that the framework of dictionary learning with sparse coding, in which signals are decomposed as linear combinations of a few atoms of a learned dictionary, is well adept to reconstruction issues. This framework has also been used for discrimination tasks such as image classification. To achieve better performances of classification, experts develop several methods to learn a discriminative dictionary in a supervised manner. However, another issue is that when the data become extremely large in scale, these methods will be no longer effective as they are all batch-oriented approaches. For this reason, we propose a novel online algorithm for discriminative dictionary learning, dubbed \\textbf{ODDL} in this paper. First, we introduce a linear classifier into the conventional dictionary learning formulation and derive a discriminative dictionary learning problem. Then, we exploit an online algorithm to solve the derived problem. Unlike the most existing approaches which updat...

Kong, Shu

2012-01-01T23:59:59.000Z

365

"Table A25. Components of Total Electricity Demand by Census Region, Census Division, Industry"  

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

Components of Total Electricity Demand by Census Region, Census Division, Industry" Components of Total Electricity Demand by Census Region, Census Division, Industry" " Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Group and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

366

Tobacco Industry Involvement in Colorado  

E-Print Network (OSTI)

Accessed May 25, 2004) Industry Summary. 1992 (est. ).11 May 2004) Tobacco Industry Involvement in Colorado Pageor (800) LUNG-USA. Tobacco Industry Involvement in Colorado

Landman, BA, Anne; Bialick, Peter

2004-01-01T23:59:59.000Z

367

For Industry | ornl.gov  

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

R&D accelerates battery technology | More news Home | Connect with ORNL | For Industry For Industry | For Industry SHARE There are a few different way of "working" with...

368

Massachusetts | Building Energy Codes Program  

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

Massachusetts Massachusetts Last updated on 2013-11-04 Current News The BBRS voted to adopt the 2012 IECC and ASHRAE 90.1-2010 on July 9, 2013. They will be phased in over an extended concurrency period, and is expected to become the sole effective baseline energy code on July 1, 2014. Commercial Residential Code Change Current Code 2009 IECC with Amendments Amendments / Additional State Code Information 13.0 Energy Conservation- 2009 IECC Approved Compliance Tools State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Massachusetts (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to 2009 IECC Effective Date 07/01/2010 Adoption Date 01/01/2010 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: Yes ASHRAE 90.1-2010: Yes

369

Tennessee | Building Energy Codes Program  

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

Tennessee Tennessee Last updated on 2013-08-02 Commercial Residential Code Change Current Code 2006 IECC Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Tennessee (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to 2006 IECC Effective Date 07/01/2011 Adoption Date 06/02/2011 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: No ASHRAE 90.1-2010: No Tennessee DOE Determination Letter, May 31, 2013 Tennessee State Certification of Commercial and Residential Building Energy Codes Current Code 2006 IECC Approved Compliance Tools Can use REScheck State Specific Research Impacts of the 2009 IECC for Residential Buildings in the State of Tennessee (BECP Report, Sept. 2009)

370

ALOHA Code | Department of Energy  

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

ALOHA Code ALOHA Code ALOHA Code Central Registry Toolbox Code Version(s): V5.2.3 Code Owner: National Oceanic and Atmospheric Administration (NOAA) Description: The Arial Locations of Hazardous Atmospheres (ALOHA) is atmospheric dispersion model maintained by the Hazardous Materials Division of National Oceanic and Atmospheric Administration (NOAA). ALOHA is one of three separate, integrated software applications in the Computer-Aided Management of Emergency Operations (CAMEO) suite. While the other two software applications: Cameo is primarily a database application and Marplot is the mapping application. ALOHA is used primarily for the evaluations of the consequences of atmospheric releases of chemical species. In addition to safety analysis applications in the Department of Energy (DOE) Complex, ALOHA is applied

371

Alaska | Building Energy Codes Program  

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

Site Map Printable Version Development Adoption Compliance Regulations Resource Center Alaska Last updated on 2013-12-10 Commercial Residential Code Change Current Code None Statewide Amendments / Additional State Code Information N/A Approved Compliance Tools State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Alaska (BECP Report, Sept. 2009) Approximate Energy Efficiency Effective Date Code Enforcement DOE Determination ASHRAE Standard 90.1-2007: No ASHRAE Standard 90.1-2010: No Energy cost savings for Alaska resulting from the state updating its commercial and residential building energy codes in accordance with federal law are significant, estimated to be on the order of nearly $50 million annually by 2030. Alaska DOE Determination Letter, May 31, 2013

372

GENII Code | Department of Energy  

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

GENII Code GENII Code GENII Code GENII is a second generation of environmental dosimetry computer code compiled in the Hanford Environmental Dosimetry System (Generation II). GENII provides a state-of-the-art, technically peer-reviewed, documented set of programs for calculating radiation dose and risk from radio nuclides released into the environment. The GENII System includes capabilities for calculating radiation doses following postulated chronic and acute releases. Version 2.10 is currently being evaluated for inclusion in the Central Registry. For more information on GENII to: http://radiologicalsciences.pnl.gov/resources/hardware.asp The GENII code-specific guidance report has been issued identifying applicable regimes in accident analysis, default inputs, and special

373

Viewpoint: the energy code tempest  

SciTech Connect

In 1973, the organization of state building code officials asked the National Bureau of Standards for guidelines on energy conservation to be incorporated into state building codes. Prescriptive codes on the proper approach became quite controversial. One group advocated a prescriptive type of code under which all building components influencing energy consumption would be individually specified. A second group favored an overall energy consumption budget for buildings expressed in Btu/sq ft of floor area/yr. Then it was conceded that different buildings required different specifications. This article illustrates some specific examples of why building codes to conserve energy must permit a trade-off between the various components of a building. (MCW)

Ashley, J.M.

1975-02-01T23:59:59.000Z

374

Virginia | Building Energy Codes Program  

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

Virginia Virginia Last updated on 2013-11-05 Current News BHCD/DHCD workgroups are currently meeting over the next 12+ months for the 2012 USBC/IECC regulatory process, with an anticipated effective date in early 2014. Commercial Residential Code Change Current Code 2009 IECC Amendments / Additional State Code Information Virginia's current code is the 2009 IECC with reference to ASHRAE 90.1-2007. Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Virginia (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to 2009 IECC Effective Date 03/01/2011 Adoption Date 07/26/2010 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: Yes ASHRAE 90.1-2010: No Virginia DOE Determination Letter, May 31, 2013

375

6. Performing Organization Code  

E-Print Network (OSTI)

15. Supplementary Notes In response to petitions by the golf cart industry the National Highway Traffic Safety Administration reviewed its position on low speed vehicles and has taken steps to define a new class of low speed vehicle (LSV) which is exempt from the federal motor vehicle safety standards (FMVSS) that apply to motor vehicles. A new safety standard, FMVSS 100, has been proposed to regulate this new class of vehicle. The Vehicle Research and Test Center conducted a survey and a series of tests to evaluate the safety and stability of LSVs. Two neighborhood electric vehicles, the Bombardier and the GEM, and one golf car, the Yamaha gasoline powered golf cart, were selected for this study. Testing included 1) measurement of the CG height of the vehicle to determine the Static Stability Factor (SSF) for both unloaded and two passenger configurations 2) measurement of lateral stability in a constant 50 foot radius turn, and 3) straight line braking on both a high coefficient surface and low coefficient surface. LSV manufacturers raised concerns on the unsuitability of traditional windshield glazings on vehicles that would be used on golf courses as well as highways. Therefore, a short series of tests were conducted to evaluate and compare golf ball impacts on AS-1 and AS-6 glazing (specified in the proposed FMVSS 100). Results of these tests indicate that AS-4 or AS-5 glazing may be a better alternative than AS-6.

Jeff Elias; Low Speed Vehicle

1998-01-01T23:59:59.000Z

376

6. Perfonning Organization Code  

E-Print Network (OSTI)

IS. Supplementary Notes SUpported by general revenues from the State of Texas. A method for rating the intermodal freight terminals as candidates for government funded access improvements is proposed in this report. Government agencies desire to meet certain transportation objectives including the reduction of highway congestion, reduction of emissions, reduction of highway deterioration, and the improvement of fuel efficiency. Since greater utilization of all modes is a means of achieving these goals, government agencies clearly have a vested interest in promoting intermodalism. The rail segment and sea segment of intermodal freight are the more cost effective modes while truck segments allow service to anywhere served by the highway network. Primary intermodal freight bottlenecks are related to the transfer between modes. Improving terminal efficiency and accessibility will reduce total travel time and ultimately will increase intermodal volume. Government funding for terminal access improvements will benefit the public by helping to achieve the stated goals. This report presents an overview of the intermodal freight transportation industry. Then government

Kevin M. Anderson; C. Michael Walton

1998-01-01T23:59:59.000Z

377

Business Models for Code Compliance | Building Energy Codes Program  

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

Compliance Compliance Site Map Printable Version Development Adoption Compliance Basics Compliance Evaluation Software & Web Tools Regulations Resource Center Business Models for Code Compliance The U.S. Department of Energy is coordinating strategies and activities with companies, individuals, and government entities to demonstrate, quantify, and monetize energy code compliance and coordinate deployment at the local, state, and regional levels. Consumer Assurance through Code Compliance Energy efficiency measures in the buildings sector, if properly realized and captured, provide a tremendous opportunity to reduce energy consumption and expenditures. Yet currently there is a lack of assurance that buildings as designed realize the levels of energy efficiency established in the

378

Removing Barriers to Innovations: Related Codes and Standards CSI Team  

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

Removing Barriers to Innovation Removing Barriers to Innovation Related Codes and Standards CSI Team PAM COLE Pacific Northwest National Laboratory Building America Technical Update Meeting, April 29-30, 2013, Denver, CO PNNL-SA-95120 Background/History Transformation of U.S. housing markets to favor high- performance homes faces significant challenges, from education to technology to infrastructure and cost barriers. Some of the most difficult challenges involve industry codes and standards that may prevent or slow the innovation process. Building America Research has a history of: Successful market innovations and transformation and overcoming codes and standards barriers. Top 3 Existing Innovations C/S Challenges Thermal Bypass Air Barrier Requirements: Building America research teams effectively

379

PIA - Industry Interactive Procurement System (IIPS) | Department...  

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

Industry Interactive Procurement System (IIPS) PIA - Industry Interactive Procurement System (IIPS) PIA - Industry Interactive Procurement System (IIPS) PIA - Industry Interactive...

380

Adaptive rate coding using convolutional codes for asynchronous code division multiple access communications over slowly fading channels  

Science Conference Proceedings (OSTI)

This paper presents a method of code rate adaptation using punctured convolutional codes for direct sequence spread spectrum communication systems over slowly fading channels. A blind channel estimation technique is used to estimate the nature of the ... Keywords: Adaptive rate coding, Asynchronous code division multiple access communication systems, Punctured convolutional codes, Rayleigh/Rician fading channels

Vidhyacharan Bhaskar; Laurie L. Joiner

2005-05-01T23:59:59.000Z

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381

A complete electrical hazard classification system and its application  

Science Conference Proceedings (OSTI)

The Standard for Electrical Safety in the Workplace, NFPA 70E, and relevant OSHA electrical safety standards evolved to address the hazards of 60-Hz power that are faced primarily by electricians, linemen, and others performing facility and utility work. This leaves a substantial gap in the management of electrical hazards in Research and Development (R&D) and specialized high voltage and high power equipment. Examples include lasers, accelerators, capacitor banks, electroplating systems, induction and dielectric heating systems, etc. Although all such systems are fed by 50/60 Hz alternating current (ac) power, we find substantial use of direct current (dc) electrical energy, and the use of capacitors, inductors, batteries, and radiofrequency (RF) power. The electrical hazards of these forms of electricity and their systems are different than for 50160 Hz power. Over the past 10 years there has been an effort to develop a method of classifying all of the electrical hazards found in all types of R&D and utilization equipment. Examples of the variation of these hazards from NFPA 70E include (a) high voltage can be harmless, if the available current is sufficiently low, (b) low voltage can be harmful if the available current/power is high, (c) high voltage capacitor hazards are unique and include severe reflex action, affects on the heart, and tissue damage, and (d) arc flash hazard analysis for dc and capacitor systems are not provided in existing standards. This work has led to a comprehensive electrical hazard classification system that is based on various research conducted over the past 100 years, on analysis of such systems in R&D, and on decades of experience. Initially, national electrical safety codes required the qualified worker only to know the source voltage to determine the shock hazard. Later, as arc flash hazards were understood, the fault current and clearing time were needed. These items are still insufficient to fully characterize all types of electrical hazards. The new comprehensive electrical hazard classification system uses a combination of voltage, shock current available, fault current available, power, energy, and waveform to classify all forms of electrical hazards. Based on this electrical hazard classification system, many new tools have been developed, including (a) work controls for these hazards, (b) better selection of PPE for R&D work, (c) improved training, and (d) a new Severity Ranking Tool that is used to rank electrical accidents and incidents with various forms of electrical energy.

Gordon, Lloyd B [Los Alamos National Laboratory; Cartelli, Laura [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

382

Clustering in the biotechnology industry  

E-Print Network (OSTI)

namely whether or not a zip code contains at least one firm.number of biotech firms in the zip code. Such a model has aon the number of firms that might appear in a zip code.

Frederic Paik Schoenberg

2011-01-01T23:59:59.000Z

383

Clustering in the biotechnology industry  

E-Print Network (OSTI)

namely whether or not a zip code contains at least one firm.number of biotech firms in the zip code. Such a model has aon the number of firms that might appear in a zip code.

Schoenberg, Frederic P

2006-01-01T23:59:59.000Z

384

Fuzzy set classifier for waste classification tracking  

SciTech Connect

We have developed an expert system based on fuzzy logic theory to fuse the data from multiple sensors and make classification decisions for objects in a waste reprocessing stream. Fuzzy set theory has been applied in decision and control applications with some success, particularly by the Japanese. We have found that the fuzzy logic system is rather easy to design and train, a feature that can cut development costs considerably. With proper training, the classification accuracy is quite high. We performed several tests sorting radioactive test samples using a gamma spectrometer to compare fuzzy logic to more conventional sorting schemes.

Gavel, D.T.

1992-11-04T23:59:59.000Z

385

About Building Energy Codes | Building Energy Codes Program  

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

Compliance Compliance Regulations Resource Center About Building Energy Codes U.S. Energy Consumption by Sector (2011) Source: U.S. Energy Information Administration, Annual Energy Review According to the U.S. Energy Information Administration's Electric Power Annual, U.S. residential and commercial buildings account for approximately 41% of all energy consumption and 72% of electricity usage. Building energy codes increase energy efficiency in buildings, resulting in significant cost savings in both the private and public sectors of the U.S. economy. Efficient buildings reduce power demand and have less of an environmental impact. The Purpose of Building Energy Codes Energy codes and standards set minimum efficiency requirements for new and renovated buildings, assuring reductions in energy use and emissions over

386

Code Booster: Award-winning research on code optimization explores...  

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

make a popular scientific analysis code run smoothly on different types of multicore computers. >> Read the full article (off-site link) About NERSC and Berkeley Lab The National...

387

Development of Energy Codes | Building Energy Codes Program  

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

Development of Energy Codes Both the IECC and ASHRAE Standard 90.1 are maintained and updated in open public forums. The openness and transparency of these processes is critical to...

388

Surface code implementation of block code state distillation  

E-Print Network (OSTI)

State distillation is the process of taking a number of imperfect copies of a particular quantum state and producing fewer better copies. Until recently, the lowest overhead method of distilling states |A>=(|0>+e^{i\\pi/4}|1>)/\\sqrt{2} produced a single improved |A> state given 15 input copies. New block code state distillation methods can produce k improved |A> states given 3k+8 input copies, potentially significantly reducing the overhead associated with state distillation. We construct an explicit surface code implementation of block code state distillation and quantitatively compare the overhead of this approach to the old. We find that, using the best available techniques, for parameters of practical interest, block code state distillation does not always lead to lower overhead, and, when it does, the overhead reduction is typically less than a factor of three.

Austin G. Fowler; Simon J. Devitt; Cody Jones

2013-01-29T23:59:59.000Z

389

Building Technologies Office: Advancing Building Energy Codes  

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

Building Energy Codes Building Energy Codes Printable Version Share this resource Send a link to Building Technologies Office: Advancing Building Energy Codes to someone by E-mail Share Building Technologies Office: Advancing Building Energy Codes on Facebook Tweet about Building Technologies Office: Advancing Building Energy Codes on Twitter Bookmark Building Technologies Office: Advancing Building Energy Codes on Google Bookmark Building Technologies Office: Advancing Building Energy Codes on Delicious Rank Building Technologies Office: Advancing Building Energy Codes on Digg Find More places to share Building Technologies Office: Advancing Building Energy Codes on AddThis.com... Popular Links Success Stories Previous Next Lighten Energy Loads with System Design. Warming Up to Pump Heat.

390

Building Energy Code | Open Energy Information  

Open Energy Info (EERE)

Code Code Jump to: navigation, search Building energy codes adopted by states (and some local governments) require commercial and/or residential construction to adhere to certain energy standards. While some governmental bodies have developed their own building energy codes, many use existing codes, such as the International Energy Conservation Code (IECC), developed and published by the International Code Council (ICC); or ASHRAE 90.1, developed by the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE). A few local building energy codes require certain commercial facilities to meet green building standards. [1] Building Energy Code Incentives CSV (rows 1 - 85) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active

391

Industrial | OpenEI  

Open Energy Info (EERE)

Industrial Industrial Dataset Summary Description The Industrial Assessment Centers (IAC) Database is a collection of all the publicly available data from energy efficiency assessments conducted by IACs at small and medium-sized industrial facilities. Source Department of Energy Industrial Assessment Centers Date Released September 20th, 2012 (2 years ago) Date Updated September 20th, 2012 (2 years ago) Keywords assessment energy efficiency Industrial manufacturing small and medium-sized Data application/vnd.ms-excel icon copy_of_iac_database.xls (xls, 28.7 MiB) Quality Metrics Level of Review Standards Comment Temporal and Spatial Coverage Frequency Daily Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset

392

Building Energy Codes Survey Tool  

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

Codes Program Codes Program Building Energy Codes Survey Tool The following surveys are available: No available surveys Please contact ( webmaster@energycode.pnl.gov ) for further assistance. English Albanian Arabic Basque Belarusian Bosnian Bulgarian Catalan Chinese (Simplified) Chinese (Traditional; Hong Kong) Chinese (Traditional; Taiwan) Croatian Czech Danish Dutch Dutch Informal English Estonian Finnish French Galician German German informal Greek Hebrew Hindi Hungarian Icelandic Indonesian Irish Italian Italian (formal) Japanese Korean Latvian Lithuanian Macedonian Malay Maltese Norwegian (Bokmal) Norwegian (Nynorsk) Persian Polish Portuguese Portuguese (Brazilian) Punjabi Romanian Russian Serbian Sinhala Slovak Slovenian Spanish Spanish (Mexico) Swedish Thai Turkish Urdu Vietnamese Welsh

393

DOE Patents Database - Widget Code  

Office of Scientific and Technical Information (OSTI)

Widget Inclusion Code Widget Inclusion Code Download and install the DOepatents widget by copying and pasting its HTML inclusion code.