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Note: This page contains sample records for the topic "analysis system sas" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
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1

Argonne Software Licensing: SAS4A/SASSYS-1  

BatPro software licensing ... SAS4A/SASSYS-1. The SAS4A/SASSYS-1 safety analysis code system is a simulation tool to perform deterministic transient safety analysis ...

2

``You need this done by when?``: Increasing your efficiency with the SAS{reg_sign} system  

SciTech Connect

The SAS Institute publication -- SAS Programming Tips: A Guide to Efficient SAS Processing defines efficiency as ``obtaining more results from fewer computer or human resources.`` While this publication contains many very useful tips, it seems to concentrate mostly on computer efficiency. This paper will focus on ways of increasing your efficiency in developing, writing, and debugging SAS programs, i.e. increasing human efficiency. In my job as a consulting statistician, my programs are usually one-run programs. That is, I develop and test a program, then I run them once to get the results I need, and the program is typically never used again. Even for multiple run jobs, the greatest expense by far is the time used to develop a program, and any CPU/hardware ``expense`` is relatively insignificant. I believe that this is true for most SAS system users and that not enough attention has been given to this aspect of ``cost``. While most of these tips and techniques were developed under the PC platform, nearly all are applicable and useful under all SAS supported platforms. Some of the tips the experienced SAS programmer may already be familiar with, but many should be new and useful to both novice and veteran users.

DeHaan, M.S.

1992-08-01T23:59:59.000Z

3

You need this done by when '': Increasing your efficiency with the SAS reg sign system  

SciTech Connect

The SAS Institute publication -- SAS Programming Tips: A Guide to Efficient SAS Processing defines efficiency as obtaining more results from fewer computer or human resources.'' While this publication contains many very useful tips, it seems to concentrate mostly on computer efficiency. This paper will focus on ways of increasing your efficiency in developing, writing, and debugging SAS programs, i.e. increasing human efficiency. In my job as a consulting statistician, my programs are usually one-run programs. That is, I develop and test a program, then I run them once to get the results I need, and the program is typically never used again. Even for multiple run jobs, the greatest expense by far is the time used to develop a program, and any CPU/hardware expense'' is relatively insignificant. I believe that this is true for most SAS system users and that not enough attention has been given to this aspect of cost''. While most of these tips and techniques were developed under the PC platform, nearly all are applicable and useful under all SAS supported platforms. Some of the tips the experienced SAS programmer may already be familiar with, but many should be new and useful to both novice and veteran users.

DeHaan, M.S.

1992-01-01T23:59:59.000Z

4

A SAS® macro implementation of a multiple comparison post hoc test for a Kruskal-Wallis analysis  

Science Conference Proceedings (OSTI)

The Kruskal-Wallis (KW) nonparametric analysis of variance is often used instead of a standard one-way ANOVA when data are from a suspected non-normal population. The KW omnibus procedure tests for some differences between groups, but provides no specific ... Keywords: Dunn's test, Kruskal-Wallis, Multiple comparison, Nemenyi test, Nonparametric, SAS

Alan C. Elliott; Linda S. Hynan

2011-04-01T23:59:59.000Z

5

Apollon Solar SAS | Open Energy Information  

Open Energy Info (EERE)

of new solar technologies and marketing strategies aiming at reducing costs for photovoltaic energy systems for the end user. References Apollon Solar SAS1 LinkedIn...

6

SAS Output  

Annual Energy Outlook 2012 (EIA)

Cooling Ponds Dry Cooling Systems Hybrid Wet and Dry Cooling Systems Other Cooling System Types Energy Source Quantity Associated Net Summer Capacity (MW) Quantity Associated Net...

7

Exosun Sas | Open Energy Information  

Open Energy Info (EERE)

Exosun Sas Exosun Sas Jump to: navigation, search Name Exosun Sas Place Martillac, France Zip 33650 Sector Solar Product The company manufactures solar trackers and acts as system integrator for PV plants. It is also developing its own CPV technology. Coordinates 44.712605°, -0.543289° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.712605,"lon":-0.543289,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

8

SAS Output  

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

2. Quantity and Net Summer Capacity of Operable Environmental Equipment, 2001 - 2011 Flue Gas Desulfurization Systems Electrostatic Precipitators Baghouses Select Catalytic and...

9

SAS Output  

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

9. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" 9. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" "(dollars per short ton)" ,,,,"Year to Date" "NAICS Code","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"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",115.95,118.96,127.41,117.4,128.07,-8.3 "315 Apparel Manufacturing","w","w","w","w","w","w" "321 Wood Product Manufacturing","w","w","w","w","w","w"

10

SAS Output  

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

5. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code" 5. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code" "(thousand short tons)" ,,,,"Year to Date" "NAICS Code","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "311 Food Manufacturing",2256,2561,1864,4817,4343,10.9 "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","w","w","w"

11

SAS Output  

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

8. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" 8. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" "(thousand short tons)" ,,,,"Year to Date" "NAICS Code","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "311 Food Manufacturing",2214,2356,1994,4570,4353,5 "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"

12

SAS Output  

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)" "NAICS Code","June 30 2013","March 31 2013","June 30 2012","Percent Change" ,,,,"(June 30)" ,,,,"2013 versus 2012" "311 Food Manufacturing",875,926,1015,-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",570,583,743,-23.3 "324 Petroleum and Coal Products*",127,113,156,-18.7

13

SAS Output  

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

3. Carbon Dioxide Uncontrolled Emission Factors 3. Carbon Dioxide Uncontrolled Emission Factors Fuel EIA Fuel Code Source and Tables (As Appropriate) Factor (Pounds of CO2 Per Million Btu)*** Bituminous Coal BIT Source: 1 205.30000 Distillate Fuel Oil DFO Source: 1 161.38600 Geothermal GEO Estimate from EIA, Office of Integrated Analysis and Forecasting 16.59983 Jet Fuel JF Source: 1 156.25800 Kerosene KER Source: 1 159.53500 Lignite Coal LIG Source: 1 215.40000 Municipal Solid Waste MSW Source: 1 (including footnote 2 within source) 91.90000 Natural Gas NG Source: 1 117.08000 Petroleum Coke PC Source: 1 225.13000 Propane Gas PG Sources: 1 139.17800 Residual Fuel Oil RFO Source: 1 173.90600 Synthetic Coal SC Assumed to have the emissions similar to Bituminous Coal. 205.30000

14

SAS Output  

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

B. U.S. Transformer Sustained Automatic Outage Counts and Hours by Cause Code and by NERC Region, 2012 B. U.S. Transformer Sustained Automatic Outage Counts and Hours by Cause Code and by NERC Region, 2012 Transformer Outage Counts Sustained Outage Causes FRCC MRO NPCC RFC SERC SPP TRE WECC Contiguous U.S. Weather, excluding lightning -- -- -- -- 1.00 -- -- -- 1.00 Lightning -- -- -- -- -- -- -- -- -- Environmental -- -- -- -- -- -- -- -- -- Contamination 1.00 -- -- -- -- -- -- -- 1.00 Foreign Interference -- -- -- -- -- -- -- -- -- Fire -- -- -- -- -- -- -- -- -- Vandalism, Terrorism, or Malicious Acts -- -- -- -- -- -- -- -- -- Failed AC Substation Equipment 3.00 1.00 -- 1.00 5.00 -- -- 4.00 14.00 Failed AC/DC Terminal Equipment -- -- -- -- -- -- -- -- -- Failed Protection System Equipment -- 1.00 -- -- 3.00 -- -- -- 4.00

15

SAS Output  

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

1. Sulfur Dioxide Uncontrolled Emission Factors 1. Sulfur Dioxide Uncontrolled Emission Factors Fuel, Code, Source and Emission Units Combustion System Type / Firing Configuration Fuel EIA Fuel Code Source and Tables (As Appropriate) Emissions Units Lbs = Pounds MMCF = Million Cubic Feet MG = Thousand Gallons Cyclone Boiler Fluidized Bed Boiler Opposed Firing Boiler Spreader Stoker Boiler Tangential Boiler All Other Boiler Types Combustion Turbine Internal Combustion Engine Agricultural Byproducts AB Source: 1 Lbs per ton 0.08 0.01 0.08 0.08 0.08 0.08 N/A N/A Blast Furnace Gas BFG Sources: 1 (including footnote 7 within source); 2, Table 1.4-2 (including footnote d within source) Lbs per MMCF 0.60 0.06 0.60 0.60 0.60 0.60 0.60 0.60 Bituminous Coal* BIT Source: 2, Table 1.1-3 Lbs per ton 38.00 3.80 38.00 38.00 38.00 38.00 N/A N/A

16

SAS Output  

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

2. Nitrogen Oxides Uncontrolled Emission Factors 2. Nitrogen Oxides Uncontrolled Emission Factors Fuel, Code, Source and Emission Units Combustion System Type / Firing Configuration Cyclone Boiler Fluidized Bed Boiler Opposed Firing Boiler Spreader Stoker Boiler Fuel EIA Fuel Code Source and Tables (As Appropriate) Emissions Units Lbs = Pounds MMCF = Million Cubic Feet MG = Thousand Gallons Dry-Bottom Boilers Dry-Bottom Boilers Dry-Bottom Boilers Wet-Bottom Boilers Dry-Bottom Boilers Agricultural Byproducts AB Source: 1 Lbs per ton 1.20 1.20 1.20 N/A 1.20 Blast Furnace Gas BFG Sources: 1 (including footnote 7 within source); EIA estimates Lbs per MMCF 15.40 15.40 15.40 N/A 15.40 Bituminous Coal BIT Source: 2, Table 1.1-3 Lbs per ton 33.00 5.00 12.00 31.00 11.00 Black Liquor BLQ Source: 1 Lbs per ton ** 1.50 1.50 1.50 N/A 1.50

17

Software: SAS4A/SASSYS-1 - Nuclear Engineering Division (Argonne...  

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

OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Software SAS4ASASSYS-1 (Reactor Dynamics and Safety Analysis Codes) Bookmark and Share SAS4A | SASSYS-1 Standard Code...

18

Hanau Energies SAS | Open Energy Information  

Open Energy Info (EERE)

Hanau Energies SAS Hanau Energies SAS Jump to: navigation, search Name Hanau Energies SAS Place Weinbourg, France Zip 67340 Sector Biomass Product Plans to sell turnkey electrical and thermal distributed power systems using plant biomass technology and PV systems. Coordinates 48.871643°, 7.440281° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.871643,"lon":7.440281,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

19

Software: SAS-DIF3DK - Nuclear Engineering Division (Argonne...  

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

Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Software SAS-DIF3DK (Reactor Dynamics and Safety Analysis Codes) Bookmark and Share Standard Code Description Name...

20

SAS ® 9.2 Companion for Windows  

E-Print Network (OSTI)

For a hard-copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. For a Web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication. U.S. Government Restricted Rights Notice. Use, duplication, or disclosure of this software and related documentation by the U.S. government is subject to the Agreement with SAS Institute and the restrictions set forth in FAR 52.227-19 Commercial Computer Software-Restricted Rights (June 1987).

unknown authors

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis system sas" 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

SAS/GRAPH Output versus ODS Graphics................  

E-Print Network (OSTI)

For a hard-copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. For a web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication. The scanning, uploading, and distribution of this book via the Internet or any other means without the permission of the publisher is illegal and punishable by law. Please purchase only authorized electronic editions and do not participate in or

unknown authors

2013-01-01T23:59:59.000Z

22

Nass Wind SAS | Open Energy Information  

Open Energy Info (EERE)

renewable energy holding company, primary involved in the French onshore and offshore wind market as project developers. References Nass & Wind SAS1 LinkedIn...

23

SAS: Self-Adaptive Spectrum Management for Wireless Sensor Networks  

E-Print Network (OSTI)

, like B-MAC. The use of SAS results in higher packet reception ratio and system throughput, and a lower in the 2.4 GHz ISM band may also be affected by existing electrical appliances. For example, Figure 1 Running Fig. 1. 2.4 GHz Spectrum Usage in a Home Environment address the problem arising from this crowded

Zhou, Gang

24

Abstract--With the growth of system complexity, dispatchers are often overwhelmed with system alarms. This situation  

E-Print Network (OSTI)

. The proposed alarm processor is implemented both at the substation automation system (SAS) and the energy management system (EMS) level. The SAS level is able to obtain more accurate analysis of substation-wide events using extra substation measurement data that are not available at the EMS level. The EMS level

Kezunovic, Mladen

25

HYDROCAP ENERGY SAS | Open Energy Information  

Open Energy Info (EERE)

HYDROCAP ENERGY SAS HYDROCAP ENERGY SAS Jump to: navigation, search Name HYDROCAP ENERGY SAS Address 65 Place Nicolas Copernic Technopole Brest Iroise Place Plozane Zip 29280 Sector Marine and Hydrokinetic Year founded 2004 Phone number +33 298451417 Website http://http://www.hydrocap.com Region France LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This company is listed in the Marine and Hydrokinetic Technology Database. This company is involved in the following MHK Technologies: SEACAP This article is a stub. You can help OpenEI by expanding it. Retrieved from "http://en.openei.org/w/index.php?title=HYDROCAP_ENERGY_SAS&oldid=678336" Categories: Clean Energy Organizations Companies Organizations Stubs MHK Companies What links here Related changes

26

Quality assurance management plan (QAPP) special analytical support (SAS)  

Science Conference Proceedings (OSTI)

It is the policy of Special Analytical Support (SAS) that the analytical aspects of all environmental data generated and processed in the laboratory, subject to the Environmental Protection Agency (EPA), U.S. Department of Energy or other project specific requirements, be of known and acceptable quality. It is the intention of this QAPP to establish and assure that an effective quality controlled management system is maintained in order to meet the quality requirements of the intended use(s) of the data.

LOCKREM, L.L.

1999-05-20T23:59:59.000Z

27

SAS/GIS ® 9.2 Spatial Data  

E-Print Network (OSTI)

For a hard-copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. For a Web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication. U.S. Government Restricted Rights Notice. Use, duplication, or disclosure of this software and related documentation by the U.S. government is subject to the Agreement with SAS Institute and the restrictions set forth in FAR 52.227-19 Commercial Computer Software-Restricted Rights (June 1987).

unknown authors

2009-01-01T23:59:59.000Z

28

FCT Systems Analysis: Analysis Methodologies  

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

Analysis Methodologies to Analysis Methodologies to someone by E-mail Share FCT Systems Analysis: Analysis Methodologies on Facebook Tweet about FCT Systems Analysis: Analysis Methodologies on Twitter Bookmark FCT Systems Analysis: Analysis Methodologies on Google Bookmark FCT Systems Analysis: Analysis Methodologies on Delicious Rank FCT Systems Analysis: Analysis Methodologies on Digg Find More places to share FCT Systems Analysis: Analysis Methodologies on AddThis.com... Home Analysis Methodologies Resource Analysis Technological Feasibility & Cost Analysis Environmental Analysis Delivery Analysis Infrastructure Development & Financial Analysis Energy Market Analysis DOE H2A Analysis Scenario Analysis Quick Links Hydrogen Production Hydrogen Delivery Hydrogen Storage Fuel Cells Technology Validation

29

www.sas-atw.com | ATW - Liste des catalogues  

U.S. Energy Information Administration (EIA)

We observed that sas-atw.com website has been registered on 2/17/2009 12:00:00 AM during our researches. sas-atw.com website opens slow with 81 ms ping time.

30

Tank vapor sampling and analysis data package for tank 241-C-106 waste retrieval sluicing system process test phase III  

Science Conference Proceedings (OSTI)

This data package presents sampling data and analytical results from the March 28, 1999, vapor sampling of Hanford Site single-shell tank 241-C-106 during active sluicing. Samples were obtained from the 296-C-006 ventilation system stack and ambient air at several locations. Characterization Project Operations (CPO) was responsible for the collection of all SUMMATM canister samples. The Special Analytical Support (SAS) vapor team was responsible for the collection of all triple sorbent trap (TST), sorbent tube train (STT), polyurethane foam (PUF), and particulate filter samples collected at the 296-C-006 stack. The SAS vapor team used the non-electrical vapor sampling (NEVS) system to collect samples of the air, gases, and vapors from the 296-C-006 stack. The SAS vapor team collected and analyzed these samples for Lockheed Martin Hanford Corporation (LMHC) and Tank Waste Remediation System (TWRS) in accordance with the sampling and analytical requirements specified in the Waste Retrieval Sluicing System Vapor Sampling and Analysis Plan (SAP) for Evaluation of Organic Emissions, Process Test Phase III, HNF-4212, Rev. 0-A, (LMHC, 1999). All samples were stored in a secured Radioactive Materials Area (RMA) until the samples were radiologically released and received by SAS for analysis. The Waste Sampling and Characterization Facility (WSCF) performed the radiological analyses. The samples were received on April 5, 1999.

LOCKREM, L.L.

1999-08-13T23:59:59.000Z

31

SAS ® Reference 9.3 Data Set Options  

E-Print Network (OSTI)

For a hardcopy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. For a Web download or e-book:Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication. The scanning, uploading, and distribution of this book via the Internet or any other means without the permission of the publisher is illegal and punishable by law. Please purchase only authorized electronic editions and do not participate in or encourage electronic piracy of copyrighted materials. Your support of others ' rights is appreciated. U.S. Government Restricted Rights Notice: Use, duplication, or disclosure of this software and related documentation by the U.S. government is subject to the Agreement with SAS Institute and the restrictions set forth in FAR 52.227–19 Commercial Computer Software-Restricted Rights

unknown authors

2011-01-01T23:59:59.000Z

32

FCT Systems Analysis: Contacts  

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

Systems Analysis: Contacts on AddThis.com... Home Analysis Methodologies DOE H2A Analysis Scenario Analysis Quick Links Hydrogen Production Hydrogen Delivery Hydrogen Storage Fuel...

33

SAS ® Reference 9.4 Data Set Options  

E-Print Network (OSTI)

For a hard-copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. For a web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication. The scanning, uploading, and distribution of this book via the Internet or any other means without the permission of the publisher is illegal and punishable by law. Please purchase only authorized electronic editions and do not participate in or encourage electronic piracy of copyrighted

unknown authors

2013-01-01T23:59:59.000Z

34

Systems Analysis Workshop Purpose  

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

National Renewable Energy Laboratory National Renewable Energy Laboratory DOE Hydrogen Program DOE Hydrogen Program Systems Analysis Workshop Systems Analysis Workshop Systems Integration Production Delivery Conversion Application Education Codes & Standards Safety Tech Validation Storage Systems Integration Production Delivery Conversion Application Education Codes & Standards Safety Tech Validation Storage Washington D.C. 28-29 Jul 04 Dale Gardner Systems Integration Operated for the U.S. Department of Energy by Midwest Research Institute * Battelle 2 Systems Analysis Workshop Topics * Meeting Goals * Systems Integration * Roles/Responsibilities of Analysis Participants * Systems Analysis * From this Workshop * Capability Presentations 3 Systems Analysis Workshop Meeting Goals 1) Understand the roles and activities of the DOE Technology Analyst,

35

Extension of the supercritical carbon dioxide brayton cycle to low reactor power operation: investigations using the coupled anl plant dynamics code-SAS4A/SASSYS-1 liquid metal reactor code system.  

SciTech Connect

Significant progress has been made on the development of a control strategy for the supercritical carbon dioxide (S-CO{sub 2}) Brayton cycle enabling removal of power from an autonomous load following Sodium-Cooled Fast Reactor (SFR) down to decay heat levels such that the S-CO{sub 2} cycle can be used to cool the reactor until decay heat can be removed by the normal shutdown heat removal system or a passive decay heat removal system such as Direct Reactor Auxiliary Cooling System (DRACS) loops with DRACS in-vessel heat exchangers. This capability of the new control strategy eliminates the need for use of a separate shutdown heat removal system which might also use supercritical CO{sub 2}. It has been found that this capability can be achieved by introducing a new control mechanism involving shaft speed control for the common shaft joining the turbine and two compressors following reduction of the load demand from the electrical grid to zero. Following disconnection of the generator from the electrical grid, heat is removed from the intermediate sodium circuit through the sodium-to-CO{sub 2} heat exchanger, the turbine solely drives the two compressors, and heat is rejected from the cycle through the CO{sub 2}-to-water cooler. To investigate the effectiveness of shaft speed control, calculations are carried out using the coupled Plant Dynamics Code-SAS4A/SASSYS-1 code for a linear load reduction transient for a 1000 MWt metallic-fueled SFR with autonomous load following. No deliberate motion of control rods or adjustment of sodium pump speeds is assumed to take place. It is assumed that the S-CO{sub 2} turbomachinery shaft speed linearly decreases from 100 to 20% nominal following reduction of grid load to zero. The reactor power is calculated to autonomously decrease down to 3% nominal providing a lengthy window in time for the switchover to the normal shutdown heat removal system or for a passive decay heat removal system to become effective. However, the calculations reveal that the compressor conditions are calculated to approach surge such that the need for a surge control system for each compressor is identified. Thus, it is demonstrated that the S-CO{sub 2} cycle can operate in the initial decay heat removal mode even with autonomous reactor control. Because external power is not needed to drive the compressors, the results show that the S-CO{sub 2} cycle can be used for initial decay heat removal for a lengthy interval in time in the absence of any off-site electrical power. The turbine provides sufficient power to drive the compressors. Combined with autonomous reactor control, this represents a significant safety advantage of the S-CO{sub 2} cycle by maintaining removal of the reactor power until the core decay heat falls to levels well below those for which the passive decay heat removal system is designed. The new control strategy is an alternative to a split-shaft layout involving separate power and compressor turbines which had previously been identified as a promising approach enabling heat removal from a SFR at low power levels. The current results indicate that the split-shaft configuration does not provide any significant benefits for the S-CO{sub 2} cycle over the current single-shaft layout with shaft speed control. It has been demonstrated that when connected to the grid the single-shaft cycle can effectively follow the load over the entire range. No compressor speed variation is needed while power is delivered to the grid. When the system is disconnected from the grid, the shaft speed can be changed as effectively as it would be with the split-shaft arrangement. In the split-shaft configuration, zero generator power means disconnection of the power turbine, such that the resulting system will be almost identical to the single-shaft arrangement. Without this advantage of the split-shaft configuration, the economic benefits of the single-shaft arrangement, provided by just one turbine and lower losses at the design point, are more important to the overall cycle performance. Therefore, the single-shaft

Moisseytsev, A.; Sienicki, J. J. (Nuclear Engineering Division)

2012-05-10T23:59:59.000Z

36

User's guide for the Data Analysis, Retrieval, and Tabulation System (DARTS), revised edition: A mainframe computer code for generating cross-tabulation reports  

SciTech Connect

A computer system unknown as the Data Analysis, Retrieval, and Tabulation System (DARTS) was developed by the Energy Systems Division at Argonne National Laboratory to generate tables of descriptive statistics derived from analyses of housing and energy data sources. Through a simple input command, the user can request the preparation of a hierarchical table based on any combination of several hundred of the most commonly analyzed variables. The system was written in the Statistical Analysis System (SAS) language and designed for use on a large-scale IBM mainframe computer.

Anderson, J.L.

1990-10-01T23:59:59.000Z

37

The scale analysis sequence for LWR fuel depletion  

Science Conference Proceedings (OSTI)

The SCALE (Standardized Computer Analyses for Licensing Evaluation) code system is used extensively to perform away-from-reactor safety analysis (particularly criticality safety, shielding, heat transfer analyses) for spent light water reactor (LWR) fuel. Spent fuel characteristics such as radiation sources, heat generation sources, and isotopic concentrations can be computed within SCALE using the SAS2 control module. A significantly enhanced version of the SAS2 control module, which is denoted as SAS2H, has been made available with the release of SCALE-4. For each time-dependent fuel composition, SAS2H performs one-dimensional (1-D) neutron transport analyses (via XSDRNPM-S) of the reactor fuel assembly using a two-part procedure with two separate unit-cell-lattice models. The cross sections derived from a transport analysis at each time step are used in a point-depletion computation (via ORIGEN-S) that produces the burnup-dependent fuel composition to be used in the next spectral calculation. A final ORIGEN-S case is used to perform the complete depletion/decay analysis using the burnup-dependent cross sections. The techniques used by SAS2H and two recent applications of the code are reviewed in this paper. 17 refs., 5 figs., 5 tabs.

Hermann, O.W.; Parks, C.V.

1991-01-01T23:59:59.000Z

38

Enel Erelis formerly Erelis SAS | Open Energy Information  

Open Energy Info (EERE)

Erelis formerly Erelis SAS Erelis formerly Erelis SAS Jump to: navigation, search Name Enel Erelis (formerly Erelis SAS) Place Lyon, France Zip 69002 Sector Hydro, Renewable Energy, Solar, Wind energy Product The french subsidiary of Enel since its acquisition in July 2006, Enel Erelis specializes in the development of renewable energy projects (wind, solar and hydro-electric) as well as water treatment facilities. Coordinates 45.759399°, 4.82897° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.759399,"lon":4.82897,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

39

NREL: Vehicle Systems Analysis - Vehicle Systems Analysis Publications  

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

Systems Analysis Publications The Vehicle Systems Analysis Team at the National Renewable Energy Laboratory publishes technical reports, conference papers, and presentations about...

40

Earth System Analysis for Sustainability  

E-Print Network (OSTI)

Earth System Analysis for Sustainability By Hans JoachimSystem Analysis for Sustainability. MIT Press, Cambridge,the factors shaping sustainability yet undertaken and makes

Hamilton-Smith, Elery

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis system sas" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

SAS4A/SASSYS-1 Educational/Nonprofit Software License Agreement  

1 SAS4A/SASSYS-1 EDUCATIONAL/NON-PROFIT SOFTWARE LICENSE AGREEMENT. This Agreement, is made between the UChicago Argonne, LLC asoperator of Argonne ...

42

Integrated fluorescence analysis system  

DOE Patents (OSTI)

An integrated fluorescence analysis system enables a component part of a sample to be virtually sorted within a sample volume after a spectrum of the component part has been identified from a fluorescence spectrum of the entire sample in a flow cytometer. Birefringent optics enables the entire spectrum to be resolved into a set of numbers representing the intensity of spectral components of the spectrum. One or more spectral components are selected to program a scanning laser microscope, preferably a confocal microscope, whereby the spectrum from individual pixels or voxels in the sample can be compared. Individual pixels or voxels containing the selected spectral components are identified and an image may be formed to show the morphology of the sample with respect to only those components having the selected spectral components. There is no need for any physical sorting of the sample components to obtain the morphological information.

Buican, Tudor N. (Los Alamos, NM); Yoshida, Thomas M. (Los Alamos, NM)

1992-01-01T23:59:59.000Z

43

Fuel Cell Technologies Office: Systems Analysis  

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

| Consumer Information Systems Analysis Search Search Help Systems Analysis EERE Fuel Cell Technologies Office Systems Analysis Printable Version Share this resource Send...

44

Energy, Environmental & Economic Systems Analysis  

E-Print Network (OSTI)

Energy, Environmental & Economic Systems Analysis GTMax: A New Deregulated Power Market Analysis Tool Opportunity Decision and Information Sciences Division Center for Energy, Environmental & Economic hourly energy transactions, costs, and revenues. GTMax has a user-friendly geographical information

Kemner, Ken

45

Energy, Environmental & Economic Systems Analysis  

E-Print Network (OSTI)

Market Simulations Opportunity Decision and Information Sciences Division Center for EnergyEnergy, Environmental & Economic Systems Analysis ENPEP-BALANCE: A Tool for Long-term Nuclear Power, Environmental & Economic Systems Analysis A resurgence of interest in nuclear energy is taking place

Kemner, Ken

46

Dynamic Systems Analysis and Simulation Dynamic Systems Analysis and  

E-Print Network (OSTI)

Monitoring and Diagnostics Electrical Signature Analysis In ESA, a motor (or generator) of the system under system. ESA applications have included motor-operated valves, pumps, compressors, and generators used in a large variety of applications and industries. PRIME MOVER GENERATOR ELECTRICAL LOAD ESA SYSTEM ELECTRIC

47

Miniaturized flow injection analysis system  

DOE Patents (OSTI)

A chemical analysis technique known as flow injection analysis, wherein small quantities of chemical reagents and sample are intermixed and reacted within a capillary flow system and the reaction products are detected optically, electrochemically, or by other means. A highly miniaturized version of a flow injection analysis system has been fabricated utilizing microfabrication techniques common to the microelectronics industry. The microflow system uses flow capillaries formed by etching microchannels in a silicon or glass wafer followed by bonding to another wafer, commercially available microvalves bonded directly to the microflow channels, and an optical absorption detector cell formed near the capillary outlet, with light being both delivered and collected with fiber optics. The microflow system is designed mainly for analysis of liquids and currently measures 38.times.25.times.3 mm, but can be designed for gas analysis and be substantially smaller in construction.

Folta, James A. (Livermore, CA)

1997-01-01T23:59:59.000Z

48

Miniaturized flow injection analysis system  

DOE Patents (OSTI)

A chemical analysis technique known as flow injection analysis is described, wherein small quantities of chemical reagents and sample are intermixed and reacted within a capillary flow system and the reaction products are detected optically, electrochemically, or by other means. A highly miniaturized version of a flow injection analysis system has been fabricated utilizing microfabrication techniques common to the microelectronics industry. The microflow system uses flow capillaries formed by etching microchannels in a silicon or glass wafer followed by bonding to another wafer, commercially available microvalves bonded directly to the microflow channels, and an optical absorption detector cell formed near the capillary outlet, with light being both delivered and collected with fiber optics. The microflow system is designed mainly for analysis of liquids and currently measures 38{times}25{times}3 mm, but can be designed for gas analysis and be substantially smaller in construction. 9 figs.

Folta, J.A.

1997-07-01T23:59:59.000Z

49

Fuel Cell Technologies Office: Systems Analysis  

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

Office: Systems Analysis on AddThis.com... Home Analysis Methodologies DOE H2A Analysis Scenario Analysis Quick Links Hydrogen Production Hydrogen Delivery Hydrogen Storage Fuel...

50

Summary of PHEV Systems Analysis  

Science Conference Proceedings (OSTI)

This report, a technical update, summarizes research on plug-in hybrid electric vehicle (PHEV) impacts on the utility system. The update also provides an analysis of the costs of PHEVs to consumers.

2009-12-18T23:59:59.000Z

51

SUBSURFACE VISUAL ALARM SYSTEM ANALYSIS  

SciTech Connect

The ''Subsurface Fire Hazard Analysis'' (CRWMS M&O 1998, page 61), and the document, ''Title III Evaluation Report for the Surface and Subsurface Communication System'', (CRWMS M&O 1999a, pages 21 and 23), both indicate the installed communication system is adequate to support Exploratory Studies Facility (ESF) activities with the exception of the mine phone system for emergency notification purposes. They recommend the installation of a visual alarm system to supplement the page/party phone system The purpose of this analysis is to identify data communication highway design approaches, and provide justification for the selected or recommended alternatives for the data communication of the subsurface visual alarm system. This analysis is being prepared to document a basis for the design selection of the data communication method. This analysis will briefly describe existing data or voice communication or monitoring systems within the ESF, and look at how these may be revised or adapted to support the needed data highway of the subsurface visual alarm. system. The existing PLC communication system installed in subsurface is providing data communication for alcove No.5 ventilation fans, south portal ventilation fans, bulkhead doors and generator monitoring system. It is given that the data communication of the subsurface visual alarm system will be a digital based system. It is also given that it is most feasible to take advantage of existing systems and equipment and not consider an entirely new data communication system design and installation. The scope and primary objectives of this analysis are to: (1) Briefly review and describe existing available data communication highways or systems within the ESF. (2) Examine technical characteristics of an existing system to disqualify a design alternative is paramount in minimizing the number of and depth of a system review. (3) Apply general engineering design practices or criteria such as relative cost, and degree of difficulty and complexity in determining requirements in adapting existing data communication highways to support the subsurface visual alarm system. These requirements would include such things as added or new communication cables, added Programmable Logic Controller (PLC), Inputs and Outputs (I/O), and communication hardware components, and human machine interfaces and their software operating system. (4) Select the best data communication highway system based on this review of adapting or integrating with existing data communication systems.

D.W. Markman

2001-08-06T23:59:59.000Z

52

FCT Systems Analysis: DOE H2A Analysis  

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

H2A Analysis to someone by H2A Analysis to someone by E-mail Share FCT Systems Analysis: DOE H2A Analysis on Facebook Tweet about FCT Systems Analysis: DOE H2A Analysis on Twitter Bookmark FCT Systems Analysis: DOE H2A Analysis on Google Bookmark FCT Systems Analysis: DOE H2A Analysis on Delicious Rank FCT Systems Analysis: DOE H2A Analysis on Digg Find More places to share FCT Systems Analysis: DOE H2A Analysis on AddThis.com... Home Analysis Methodologies DOE H2A Analysis Scenario Analysis Quick Links Hydrogen Production Hydrogen Delivery Hydrogen Storage Fuel Cells Technology Validation Manufacturing Codes & Standards Education Contacts DOE H2A Analysis Realistic assumptions, both market- and technology-based, are critical to an accurate analytical study. DOE's H2A Analysis Group develops the

53

Dependency Analysis of Mobile Systems  

Science Conference Proceedings (OSTI)

We propose an Abstract Interpretation-based static analysis for automatically detecting the dependencies between the names linked to the agents of a mobile system. We focus our study on the mobile systems written in the ¿-calculus. We first refine the ...

Jérôme Feret

2002-04-01T23:59:59.000Z

54

Energy, Environmental, and Economic Systems Analysis  

E-Print Network (OSTI)

Energy, Environmental, and Economic Systems Analysis Electricity Market Complex Adaptive System (EMCAS): A New Long-term Power Market Simulation Tool Opportunity Decision and Information Sciences Division Center for Energy, Environmental & Economic Systems Analysis Energy systems are being privatized

Kemner, Ken

55

Design, Simulation, and Analysis of Substation Automation Networks  

E-Print Network (OSTI)

Society depends on computer networks for communication. The networks were built to support and facilitate several important applications such as email, web browsing and instant messaging. Recently, there is a significant interest in leveraging modern local and wide area communication networks for improving reliability and performance in critical infrastructures. Emerging critical infrastructure applications, such as smart grid, require a certain degree of reliability and Quality of Service (QoS). Supporting these applications requires network protocols that enable delay sensitive packet delivery and packet prioritization. However, most of the traditional networks are designed to provide best effort service without any support for QoS. The protocols used in these networks do not support packet prioritization, delay requirements and reliability. In this thesis, we focus on the design and analysis of communication protocols for supporting smart grid applications. In particular, we focus on the Substation Automation Systems (SAS). Substations are nodes in the smart grid infrastructure that help the in transportation of power by connecting the transmission and distribution lines. The SAS applications are con figured to operate with minimal human intervention. The SAS monitors the line loads continuously. If the load values are too high and can lead to damage, the SAS declares those conditions as faults. On fault detection, the SAS must take care of the communication with the relay to open the circuit to prevent any damage. These messages are of high priority and require reliable, delay sensitive delivery. There is a threshold for the delay of these messages, and a slight increase in the delay above the threshold might cause severe damages. Along with such high priority messages, the SAS has a lot of background traffic as well. In spite of the background traffic, the substation network must take care of delivering the priority messages on time. Hence, the network plays a vital role in the operation of the substation. Networks designed for such applications should be analyzed carefully to make sure that the requirements are met properly. We analyzed and compared the performance of the SAS under di erent network topologies. By observing the characteristics of the existing architectures, we came up with new architectures that perform better. We have suggested several modi cations to existing solutions that allow significant improvement in the performance of the existing solutions.

Kembanur Natarajan, Elangovan

2011-05-01T23:59:59.000Z

56

FCT Systems Analysis: DOE 2010-2025 Scenario Analysis Meeting...  

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

to someone by E-mail Share FCT Systems Analysis: DOE 2010-2025 Scenario Analysis Meeting: January 31, 2007 on Facebook Tweet about FCT Systems Analysis: DOE 2010-2025 Scenario...

57

Transient analysis of grounding systems  

SciTech Connect

This paper addresses the problem of computing the ground potential rise of grounding systems during transients. Finite element analysis is employed to model the constituent parts of a grounding system. Short lengths of earth embedded electrodes are characterized as transmission lines with distributed inductance, capacitance and leakage resistance to earth. Leakage resistance to earth is accurately computed with the method of moments. The other parameters of the finite element, namely inductance and capacitance, are computed from the resistance utilizing Maxwell's equations. This modeling enables the computation of the transient response of substation grounding systems to fast or slow waves striking the substation. The result is obtained in terms of a convolution of the step response of the system and the striking wave. In this way the impedance of substation systems to 60 cycles is accurately computed. Results demonstrate the dependence of the 60 cycle impedance on system parameters. The methodology allows to interface this model of a substation ground mat with the Electromagnetic Transient Analysis Program thus, allowing explicit representation of earth effects in electromagmatic transients computations.

Meliopoulos, A.P.; Moharam, M.G.

1983-02-01T23:59:59.000Z

58

Analysis of hybrid solar systems  

DOE Green Energy (OSTI)

This study uses the TRNSYS simulation program to evaluate the performance of active charge/passive discharge solar systems with water as the working fluid. This design was introduced in the Village Homes development in Davis, Calif., and is currently being used by Trident Energy Systems in Davis. TRNSYS simulations are used to evaluate the heating performance and cooling augmentation provided by systems in several climates. The results of the simulations are used to develop a simplified analysis tool similar to the F-chart and Phi-bar procedures used for active systems. This tool, currently in a preliminary stage, should provide the designer with quantitative performance estimates for comparison with other passive, active, and nonsolar heating and cooling designs.

Swisher, J.

1980-10-01T23:59:59.000Z

59

Transportation Routing Analysis Geographic Information System (TRAGIS)  

E-Print Network (OSTI)

Transportation Routing Analysis Geographic Information System (TRAGIS) Model and Network Databases The Transportation Routing Analysis Geographic Information System (TRAGIS) model is a geographic information system tool for modeling transportation routing. TRAGIS offers numerous options for route calculation

60

System for analysis of explosives  

DOE Patents (OSTI)

A system for analysis of explosives. Samples are spotted on a thin layer chromatography plate. Multi-component explosives standards are spotted on the thin layer chromatography plate. The thin layer chromatography plate is dipped in a solvent mixture and chromatography is allowed to proceed. The thin layer chromatography plate is dipped in reagent 1. The thin layer chromatography plate is heated. The thin layer chromatography plate is dipped in reagent 2.

Haas, Jeffrey S. (San Ramon, CA)

2010-06-29T23:59:59.000Z

Note: This page contains sample records for the topic "analysis system sas" 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

NREL: Energy Analysis - Technology Systems Analysis  

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

Zhang Access more information on all of our Staff Analysts Printable Version Energy Analysis Home Capabilities & Expertise Technology Analysis Biomass Buildings Electric...

62

Decision Analysis for Enhanced Geothermal Systems Geothermal...  

Open Energy Info (EERE)

Recovery Act: Enhanced Geothermal Systems Component Research and DevelopmentAnalysis Project Type Topic 2 Geothermal Analysis Project Description The result of the proposed...

63

Transportation Routing Analysis Geographic Information System...  

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

Transportation Routing Analysis Geographic Information System (TRAGIS) to Spent Fuel Routing Analysis P. E. Johnson R.R. Rawl Oak Ridge National Laboratory TRAGIS is being used by...

64

NREL: Energy Analysis - Electric Infrastructure Systems Technology...  

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

Technology Analysis NREL's energy analysis supports distribution and interconnection R&D, which is responsible for distributed resources' system integration. Industrial...

65

FCT Systems Analysis: 2010-2025 Scenario Analysis for Hydrogen...  

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

-2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure to someone by E-mail Share FCT Systems Analysis: 2010-2025 Scenario Analysis for Hydrogen Fuel Cell...

66

Intelligent Transportation Systems Deployment Analysis System | Open Energy  

Open Energy Info (EERE)

Intelligent Transportation Systems Deployment Analysis System Intelligent Transportation Systems Deployment Analysis System Jump to: navigation, search Tool Summary Name: Intelligent Transportation Systems Deployment Analysis System Agency/Company /Organization: Cambridge Systematics Sector: Energy Focus Area: Transportation Resource Type: Software/modeling tools Website: idas.camsys.com/ Country: United States Northern America References: http://idas.camsys.com/ The ITS Deployment Analysis System (IDAS) is software developed by the Federal Highway Administration that can be used in planning for Intelligent Transportation System (ITS) deployments. State, regional, and local planners can use IDAS to estimate the benefits and costs of ITS investments - which are either alternatives to or enhancements of traditional highway

67

Vulnerability Analysis of Energy Delivery Control Systems  

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

The Vulnerability Analysis of Energy Delivery Control Systems report, prepared by Idaho National Laboratory, describes the common vulnerabilities on energy sector control systems, and provides...

68

NREL: Vehicle Systems Analysis - Related Links  

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

information related to NREL's vehicle systems analysis capabilities and R&D activities, including: Models and tools National laboratories Models and Tools NREL's vehicle system...

69

Summary Report of two-Dimensional Analysis of Radiochemical Assay Samples  

SciTech Connect

The ''Summary Report of Two-Dimensional Analysis of Radiochemical Assay Samples'' report provides a summary of the analyses comparing calculated isotopics generated by a point-depletion code that uses one-dimensional (1-D) neutron transport theory weighted cross-sections (SAS2H Control Module of the SCALE Modular Code System) and a two-dimensional (2-D) depletion code (GRCASMO3) with that of radiochemical assay (RCA) results.

C. Connell; J.M. Scaglione

2001-12-03T23:59:59.000Z

70

Solar Energy Systems - Research - Systems Analysis - Smart Grid...  

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

Solar Fuels Research: Systems Analysis Smart grid photovoltaic Systems analysis photovoltaic A team of energy and grid experts from Agronne, ComEd, GridPoint, and the University of...

71

Building Your First Dashboard Using the SAS® 9 Business Intelligence Platform: A Tutorial Paper presented at the SAS Global Forum Users Group in Washington D.C  

E-Print Network (OSTI)

A dashboard is a visualization technique that provides an immediate view or snapshot of exactly where you are in a specific process relative to your stated goals and objectives. Visuals indicators, such as temperature gauges, traffic lights and speedometers, help give you a real-world sense of your present progress and assist you in making decisions, adapting to current conditions or drilling into more detailed information. In a previous paper (Wright, 2008), we outlined technologies that can be used to build dashboards and we further that discussion with information that will help you build your first dashboard. We then walk through the process of building your first dashboard step by step by step, beginning with design considerations and SAS options for creating dashboards, then continue with defining some key performance indicators (KPIs), connecting our data, customizing the visual indicators and then learning more about ways to make the dashboard actionable through drill down and click-through. Finally, we will conclude with a discussion of additional customizations that can be performed with the SAS Enterprise Business Intelligence Platform.

Gregory S. Nelson

2009-01-01T23:59:59.000Z

72

Improvements in dependability and usability for a substation automation system with redundancy  

Science Conference Proceedings (OSTI)

Substation Automation Systems (SAS) are widely used for the purpose of control, protection, monitoring, communication etc. in substations to improve the reliability of the power supply. SASs adopting IT based solutions such as Ethernet LAN have recently ... Keywords: IEC 61850, SAS, availability, dependability, redundant system, reliability, substation automation system, system architecture

Hachidai Ito; Keiichi Kaneda; Koichi Hamamatsu; Tatsuji Tanaka; Koichi Nara

2008-10-01T23:59:59.000Z

73

The ATLAS Distributed Analysis System  

E-Print Network (OSTI)

In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS Computing Model was designed around the concept of grid computing, realized in the Worldwide LHC Computing Grid (WLCG), the largest distributed computational resource existing in the sciences. The ATLAS experiment currently stores over 140 PB of data and runs about 140,000 concurrent jobs continuously at WLCG sites. During the first run of the LHC, the ATLAS Distributed Analysis (DA) service has operated stably and scaled as planned. More than 1600 users submitted jobs in 2012, with 2 million or more analysis jobs per week, peaking at about a million jobs per day. The system dynamically distributes popular data to expedite processing and maximally utilize resources. The reliability of the DA service is high but steadily improving; grid sites are continually validated against a set of standard tests, and a dedicated team of expert shifters ...

Legger, F; The ATLAS collaboration; Pacheco Pages, A; Stradling, A

2013-01-01T23:59:59.000Z

74

The National Meteorological Center Regional Analysis System  

Science Conference Proceedings (OSTI)

The National Meteorological Center (NMC) Regional Optimum-Interpolation (ROI) analysis is described. The ROI is the analysis component of the Regional Analysis and Forecast System (RAFS) and is specially designed to provide initial conditions for ...

Geoffrey J. DiMego

1988-05-01T23:59:59.000Z

75

EMSL: Capabilities: Cellular Isolation and Systems Analysis  

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

Cell Isolation and Systems Analysis Cell Isolation and Systems Analysis Additional Information Related EMSL User Projects Cell Isolation & Systems Analysis Tools are Applied to all Science Themes Cell Isolation & Systems Analysis brochure CISA Capability Group movie series: CISA Read the transcript. The Cell Isolation & Systems Analysis (CISA) capability at EMSL includes techniques for isolating cells from complex cell populations or environmental samples for further 'omics and imaging analyses. EMSL specializes in quantitative live cell fluorescence imaging with single molecule sensitivity, super resolution fluorescence and electron microscopy techniques, and transcriptomics and proteomics analyses. These capabilities provide the foundation for attaining a molecular-level understanding of

76

Flywheel Power Systems: Market Analysis  

Science Conference Proceedings (OSTI)

High speed flywheel power systems offer a new opportunity to provide power delivery systems. Such systems are very useful to mitigate power quality problems. This report focuses on the industrial market for flywheel storage systems.

1998-02-20T23:59:59.000Z

77

Systems Analysis Workshop Welcome & Introductions  

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

DOE Hydrogen Program DOE Hydrogen Program Systems Analysis Workshop Systems Analysis Workshop Welcome & Introductions Welcome & Introductions Washington D.C. 28-29 Jul 04 Dale Gardner Systems Integration 2 Systems Analysis Workshop Administrative Items Elevators Glass Doors - NREL sign Large Conf Room Elevators Glass Doors - NREL sign Large Conf Room M W Kitchenette Copier/Fax Wanda 202-646-5278/5050 202-646-7790 fax Visitor Offices Restrooms 3 Systems Analysis Workshop Agenda Wednesday, 28 July Welcome & Introduction Dale Gardner 8:00 - 8:10 Role of Analysis in the Hydrogen Program Steve Chalk 8:10 - 8:30 NRC Analysis Recommendations Bob Hirsch 8:30 - 9:00 Systems Analysis Workshop (SAW) Purpose Dale Gardner 9:00 - 9:45 Break 9:45 - 10:00 Capability Briefings Participants 10:00 - 12:00

78

Intrusion ripple analysis in distributed information systems  

Science Conference Proceedings (OSTI)

Security is a very important aspect of distributed computing systems, especially in distributed information environments involving wide-area networks, such as internets. This paper addresses how a security breach, such as intrusion, propagates through ... Keywords: computer crime, distributed information systems, internets, intrusion ripple analysis, networked information system, ripple effect analysis, security breach propagation, software maintenance, wide-area networks

S. S. Yau; Jun Zhu

1997-10-01T23:59:59.000Z

79

Intelligent sea transportation system postoptimal analysis  

Science Conference Proceedings (OSTI)

A procedure for the ship dynamic positioning postoptimal analysis in Intelligent Sea Transportation System Optimization is proposed. The dynamic positioning control system design is based on the optimal constrained covariance control (OC3). ... Keywords: LQG control, dynamic positioning, intelligent transportation system, mathematical modelling, optimization problems, postoptimal analysis, robust control

Sadko Mandžuka; Ivan Bošnjak; Ljupko Šimunovic

2009-07-01T23:59:59.000Z

80

DOE Hydrogen and Fuel Cells Program: Systems Analysis  

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

Repository H2A Analysis Hydrogen Analysis Resource Center Scenario Analysis Well-to-Wheels Analysis Systems Integration U.S. Department of Energy Search help Home > Systems...

Note: This page contains sample records for the topic "analysis system sas" 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

NREL: Energy Analysis - Technology Systems and Sustainability Analysis  

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

Technology Systems and Sustainability Analysis Technology Systems and Sustainability Analysis The following includes summary bios of staff expertise and interests in analysis related to infrastructure and systems; sustainability assessment; technoeconomic assessment; and water requirements. Team Lead: Margaret Mann Administrative Support: JoAnn Weaver Chad Augustine Alberta Carpenter Karlynn Cory Ran Fu Maureen Hand KC Hallett Ted James Garvin Heath Scott Jenne Aaron Levine Ben Maples Anelia Milbrandt Emily K. Newes Ethan Warner Kermit Witherbee Michael Woodhouse Katherine Young Yimin Zhang Photo of Chad Augustine. Chad Augustine Geothermal Energy Engineer/Analyst Areas of expertise Techno-economic modeling of Enhanced Geothermal Systems (EGS) Geothermal resource assessment High pressure, high temperature reaction systems

82

System architecture analysis and selection under uncertainty  

E-Print Network (OSTI)

A system architecture analysis and selection methodology is presented that builds on the Multidisciplinary Analysis and Optimization framework. It addresses a need and opportunity to extend the MAO techniques to include a ...

Smaling, Rudolf M

2005-01-01T23:59:59.000Z

83

NREL: Concentrating Solar Power Research - Systems Analysis  

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

Systems Analysis Systems Analysis Featured Resource Learn more about NREL's capabilities in modeling and analysis of CSP Systems. NREL and other national laboratories support U.S. Department of Energy (DOE) systems analysis activities to evaluate and validate the cost, performance, durability, and grid penetration impacts for concentrating solar power (CSP) technologies. DOE's systems analysis program focuses on the greatest opportunities for impact, based on estimates of the current and future costs of CSP plants, subsystems, and components. Opportunities and Potential Impact The DOE SunShot Initiative to reduce the installed cost of solar energy systems by 75% by the end of the decade will require low-cost configurations that are easy to integrate into the electric grid. Systems

84

NREL: Energy Analysis - Electric Infrastructure Systems Technology...  

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

Electric Infrastructure Systems Technology Analysis Models and Tools The following is a list of models and tools that can assist in learning more about the listed technologies and...

85

Cost Analysis of Hydrogen Storage Systems  

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

Hydrogen Cost Analysis of Hydrogen Storage Systems Storage Systems TIAX LLC 15 Acorn Park Cambridge, MA 02140-2390 Tel. 617- 498-5000 Fax 617-498-7200 www.TIAXLLC.com Reference:...

86

DOE Hydrogen Analysis Repository: Hydrogen Systems Analysis, Education, and  

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

Systems Analysis, Education, and Outreach Systems Analysis, Education, and Outreach Project Summary Full Title: Hydrogen Systems Analysis, Education, and Outreach Project ID: 89 Principal Investigator: Faith Klareich Brief Description: Sentech undertook systems analysis and technical/economic assessments to allow DOE to define the strategic goals of the hydrogen R&D program. Keywords: Technoeconomic analysis; education Purpose Provide data that allow DOE to define the strategic goals of the hydrogen R&D program. Performer Principal Investigator: Faith Klareich Organization: Sentech, Inc. Address: 7475 Wisconsin Avenue, Suite 900 Bethesda , MD 20814 Telephone: 240-223-5500 Period of Performance Start: August 1996 End: September 1997 Project Description Type of Project: Analysis Category: Hydrogen Fuel Pathways

87

Systems Analysis Workshop Discussion Summary  

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

among cost factors o Base targets on analysis rather than assumptions * Hydrogen fuel cell vehicle vs. competition - we need better comparisons with alternative...

88

DOE Hydrogen Analysis Repository: Powertrain Systems Analysis Toolkit  

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

Powertrain Systems Analysis Toolkit (PSAT) Powertrain Systems Analysis Toolkit (PSAT) Project Summary Full Title: Powertrain Systems Analysis Toolkit (PSAT) Project ID: 122 Principal Investigator: Aymeric Rousseau Brief Description: PSAT is a forward-looking model that simulates fuel economy and performance in a realistic manner -- taking into account transient behavior and control system characteristics. It can simulate an unrivaled number of predefined configurations (conventional, electric, fuel cell, series hybrid, parallel hybrid, and power split hybrid). Keywords: Hybrid electric vehicles (HEV); fuel cell vehicles (FCV); vehicle characteristics Purpose Simulate performance and fuel economy of advanced vehicles to support U.S. DOE R&D activities Performer Principal Investigator: Aymeric Rousseau

89

Mandatory Photovoltaic System Cost Analysis | Department of Energy  

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

Mandatory Photovoltaic System Cost Analysis Mandatory Photovoltaic System Cost Analysis Eligibility Utility Savings For Solar Buying & Making Electricity Program Information...

90

LLNL Engineering Systems and Intelligence Analysis Signal and...  

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

Systems and Intelligence Analysis Bayesian Inference Computational Economics Decision Analysis Detector Networks Incident Command Analytic Training System (ICATS): A Simulation...

91

Bifurcation Analysis of Various Power System Models  

E-Print Network (OSTI)

Bifurcation Analysis of Various Power System Models William D. Rosehart Claudio A. Ca This paper presents the bifurcation analysis of a detailed power system model composed of an aggregated induction motor and impedance load supplied by an under-load tap-changer transformer and an equivalent

Cañizares, Claudio A.

92

Energy Engineering and Systems Analysis - Home  

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93

SAS Output  

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

A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 21,196 695 18,300 2,087 115 2004 19,587 444 17,308 1,811 24 2005 19,370 560 17,033 1,753 25 2006 19,629 500 17,343 1,761 25 2007 19,576 553 17,116 1,785 122 2008 19,805 509 17,487 1,809 0 2009 19,669 465 17,048 2,155 0 2010 19,437 402 16,802 2,233 0 2011 16,972 388 14,625 1,955 4 2012 16,968 418 14,235 2,304 12 2010 January 1,546 30 1,332 184 0 February 1,384 25 1,215 144 0 March 1,650 36 1,434 180 0 April 1,655 33 1,426 196 0

94

SAS Output  

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

3. Consumption of Landfill Gas for Electricity Generation by State, by Sector, 3. Consumption of Landfill Gas for Electricity Generation by State, by Sector, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 9,595 9,945 -3.5% 0 0 9,074 9,945 520 0 0 0 Connecticut 595 624 -4.6% 0 0 595 624 0 0 0 0 Maine 518 524 -1.0% 0 0 518 524 0 0 0 0 Massachusetts 3,603 3,623 -0.6% 0 0 3,603 3,623 0 0 0 0 New Hampshire 1,790 1,485 21% 0 0 1,270 1,485 520 0 0 0 Rhode Island 2,409 3,037 -21% 0 0 2,409 3,037 0 0 0 0

95

SAS Output  

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

4. Average Price of Coal Delivered to End Use Sector by Census Division and State, 2012 and 2011" 4. Average Price of Coal Delivered to End Use Sector by Census Division and State, 2012 and 2011" "(dollars per short ton)" ,2012,,,,2011,,,,"Annual Percent Change" "Census Division","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial" "and State","Power1","Industrial",,"and","Power1","Industrial",,"and","Power1","Industrial",,"and" ,,,,"Institutional",,,,"Institutional",,,,"Institutional" "New England",88.32,165.17,"-","-",87.62,"w","-","-",0.8,"w","-","-"

96

SAS Output  

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

U.S. Coal Consumption by End-Use Sector, 2007 - 2013" U.S. Coal Consumption by End-Use Sector, 2007 - 2013" "(thousand short tons)" ,,,"Other Industrial",,,"Commercial and Institutional" "Year and","Electric","Coke","CHP2","Non-","Total","CHP4","Non-","Total","Total" "Quarter","Power","Plants",,"CHP3",,,"CHP5" ,"Sector1" 2007 " January - March",257516,5576,5834,8743,14578,547,510,1058,278727 " April - June",246591,5736,5552,8521,14074,426,279,705,267106 " July - September",283556,5678,5546,8180,13725,458,247,705,303665 " October - December",257478,5726,5605,8634,14238,495,563,1058,278500

97

SAS Output  

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

E. Other Waste Biomass: Consumption for Useful Thermal Output, E. Other Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 29,854 0 10,655 757 18,442 2004 30,228 0 12,055 2,627 15,547 2005 38,010 0 10,275 2,086 25,649 2006 36,966 0 8,561 2,318 26,087 2007 41,757 0 10,294 2,643 28,820 2008 41,851 0 9,674 1,542 30,635 2009 41,810 0 10,355 1,638 29,817 2010 47,153 0 8,436 1,648 37,070 2011 43,483 0 6,460 1,566 35,458 2012 46,863 0 6,914 1,796 38,153 2010 January 4,885 0 1,088 137 3,661 February 4,105 0 943 137 3,025 March 4,398 0 845 136 3,417 April 4,224 0 399 138 3,688

98

SAS Output  

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

E. Petroleum Coke: Consumption for Useful Thermal Output, E. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 14,395 0 3,192 179 11,024 2003 21,170 0 2,282 244 18,644 2004 29,342 0 6,768 226 22,347 2005 22,224 0 5,935 228 16,061 2006 38,169 0 5,672 236 32,262 2007 38,033 0 4,710 303 33,019 2008 27,100 0 3,441 243 23,416 2009 29,974 0 3,652 213 26,109 2010 31,303 0 2,855 296 28,152 2011 31,943 0 3,244 153 28,546 2012 38,777 0 3,281 315 35,181 2010 January 2,683 0 285 33 2,365 February 2,770 0 302 29 2,439 March 2,424 0 338 36 2,050 April 2,257 0 255 22 1,980

99

SAS Output  

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

A. Landfill Gas: Consumption for Electricity Generation, A. Landfill Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 136,421 9,168 121,984 3,280 1,989 2004 143,844 11,250 125,848 4,081 2,665 2005 141,899 11,490 123,064 4,797 2,548 2006 160,033 16,617 136,108 6,644 664 2007 166,774 17,442 144,104 4,598 630 2008 195,777 20,465 169,547 5,235 530 2009 206,792 19,583 180,689 5,931 589 2010 218,331 19,975 192,428 5,535 393 2011 232,795 22,086 180,856 29,469 384 2012 256,376 25,193 201,965 26,672 2,545 2010 January 17,531 1,715 15,323 461 32 February 16,189 1,653 14,120 384 33

100

SAS Output  

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

. Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2002 through 2012 . Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2002 through 2012 Coal Petroleum Natural Gas All Fossil Fuels Average Cost Average Cost Average Cost Average Cost Period Receipts (Thousand Tons) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Ton) Receipts (Thousand Barrels) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Barrel) Receipts (Thousand Mcf) (Dollars per MMBtu) (Dollars per MMBtu) 2002 884,287 0.94 1.25 25.52 120,851 1.64 3.34 20.77 5,607,737 3.56 1.86 2003 986,026 0.97 1.28 26.00 185,567 1.53 4.33 26.78 5,500,704 5.39 2.28 2004 1,002,032 0.97 1.36 27.42 186,655 1.66 4.29 26.56 5,734,054 5.96 2.48 2005 1,021,437 0.98 1.54 31.20 194,733 1.61 6.44 39.65 6,181,717 8.21 3.25

Note: This page contains sample records for the topic "analysis system sas" 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
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101

SAS Output  

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

9. Receipts, Average Cost, and Quality of Fossil Fuels: Commercial Sector, 2002 - 2012 9. Receipts, Average Cost, and Quality of Fossil Fuels: Commercial Sector, 2002 - 2012 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2002 9,580 399 2.10 50.44 2.59 28.4 503 91 5.38 29.73 0.02 7.5 2003 8,835 372 1.99 47.24 2.43 20.5 248 43 7.00 40.82 0.04 3.1 2004 10,682 451 2.08 49.32 2.48 23.5 3,066 527 6.19 35.96 0.20 26.9 2005 11,081 464 2.57 61.21 2.43 24.2 1,684 289 8.28 48.22 0.17 18.3 2006 12,207 518 2.63 61.95 2.51 27.5 798 137 13.50 78.70 0.17 15.5

102

SAS Output  

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

Coke and Breeze Production at Coke Plants" Coke and Breeze Production at Coke Plants" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "Middle Atlantic","w","w","w","w","w","w" "East North Central",2303,2314,2365,4617,4754,-2.9 "South Atlantic","w","w","w","w","w","w" "East South Central","w","w","w","w","w","w" "U.S. Total",4152,4098,4104,8249,8233,0.2 "Coke Total",3954,3841,3863,7795,7721,1

103

SAS Output  

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

2. Electric Power Industry - Electricity Sales for Resale, 2. Electric Power Industry - Electricity Sales for Resale, 2002 through 2012 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined Heat and Power U.S. Total 2002 1,838,901 5,757,283 943,531 28,963 8,568,678 2003 1,824,030 3,906,220 1,156,796 33,909 6,920,954 2004 1,923,440 3,756,175 1,053,364 25,996 6,758,975 2005 1,925,710 2,867,048 1,252,796 26,105 6,071,659 2006 1,698,389 2,446,104 1,321,342 27,638 5,493,473 2007 1,603,179 2,476,740 1,368,310 31,165 5,479,394 2008 1,576,976 2,718,661 1,355,017 30,079 5,680,733 2009 1,495,636 2,240,399 1,295,857 33,139 5,065,031 2010 1,541,554 2,946,452 1,404,137 37,068 5,929,211 2011 1,529,434 2,206,981 1,372,306 34,400 5,143,121

104

SAS Output  

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

2. Fuel-Switching Capacity of Operable Generators Reporting Petroleum Liquids as the Primary Fuel, 2. Fuel-Switching Capacity of Operable Generators Reporting Petroleum Liquids as the Primary Fuel, by Producer Type, 2012 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Petroleum as the Primary Fuel Net Summer Capacity of Petroleum-Fired Generators Reporting the Ability to Switch to Natural Gas Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Natural Gas Electric Utilities 26,732 7,640 28.6 7,224 Independent Power Producers, Non-Combined Heat and Power Plants 18,644 7,867 42.2 6,628 Independent Power Producers, Combined Heat and Power Plants 317 -- -- -- Electric Power Sector Subtotal 45,693 15,507 33.9 13,852 Commercial Sector 443 21 4.8 21

105

SAS Output  

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

A. Petroleum Coke: Consumption for Electricity Generation, A. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,836 2,125 3,580 2 1,130 2003 6,303 2,554 3,166 2 582 2004 7,677 4,150 2,985 1 541 2005 8,330 4,130 3,746 1 452 2006 7,363 3,619 3,286 1 456 2007 6,036 2,808 2,715 2 512 2008 5,417 2,296 2,704 1 416 2009 4,821 2,761 1,724 1 335 2010 4,994 3,325 1,354 2 313 2011 5,012 3,449 1,277 1 286 2012 3,675 2,105 756 1 812 2010 January 433 283 121 0.17 29 February 404 258 120 0.15 25 March 438 308 108 0.19 23 April 382 253 107 0.12 22 May 415 261 129 0 25

106

SAS Output  

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

5. Retail Sales of Electricity to Ultimate Customers: 5. Retail Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2003 - December 2012 (Million Kilowatthours) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2003 1,275,824 1,198,728 1,012,373 6,810 3,493,734 2004 1,291,982 1,230,425 1,017,850 7,224 3,547,479 2005 1,359,227 1,275,079 1,019,156 7,506 3,660,969 2006 1,351,520 1,299,744 1,011,298 7,358 3,669,919 2007 1,392,241 1,336,315 1,027,832 8,173 3,764,561 2008 1,379,981 1,335,981 1,009,300 7,700 3,732,962 2009 1,364,474 1,307,168 917,442 7,781 3,596,865 2010 1,445,708 1,330,199 970,873 7,712 3,754,493 2011 1,422,801 1,328,057 991,316 7,672 3,749,846 2012 1,374,515 1,327,101 985,714 7,320 3,694,650 2010

107

SAS Output  

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

3. Coal Carbonized at Coke Plants by Census Division" 3. Coal Carbonized at Coke Plants by Census Division" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "Middle Atlantic","w","w","w","w","w","w" "East North Central",3051,2997,3092,6048,6156,-1.8 "South Atlantic","w","w","w","w","w","w" "East South Central","w","w","w","w","w","w" "U.S. Total",5471,5280,5296,10751,10579,1.6 "w = Data withheld to avoid disclosure."

108

SAS Output  

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

F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 64,629 2,456 26,514 5,323 30,337 2004 49,443 2,014 21,294 6,935 19,201 2005 55,862 2,485 17,640 6,763 28,974 2006 54,693 2,611 16,348 6,755 28,980 2007 60,840 2,992 19,155 6,692 32,001 2008 66,139 3,409 22,419 5,227 35,085 2009 66,658 3,679 23,586 5,398 33,994 2010 77,150 3,668 22,884 5,438 45,159 2011 74,255 4,488 22,574 5,382 41,810 2012 77,205 4,191 22,654 5,812 44,548 2010 January 7,109 189 2,166 458 4,295 February 6,441 275 2,151 429 3,586

109

SAS Output  

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

F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 7,135,572 2,307,358 3,481,961 75,985 1,270,268 2003 6,498,549 1,809,003 3,450,177 60,662 1,178,707 2004 6,912,661 1,857,247 3,749,945 73,744 1,231,725 2005 7,220,520 2,198,098 3,837,717 69,682 1,115,023 2006 7,612,500 2,546,169 3,847,644 69,401 1,149,286 2007 8,181,986 2,808,500 4,219,827 71,560 1,082,099 2008 7,900,986 2,803,283 4,046,069 67,571 984,062 2009 8,138,385 2,981,285 4,062,633 77,077 1,017,390 2010 8,694,186 3,359,035 4,191,241 87,357 1,056,553

110

SAS Output  

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

4. Consumption of Biogenic Municipal Solid Waste for Electricity Generation by State, by Sector, 4. Consumption of Biogenic Municipal Solid Waste for Electricity Generation by State, by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 4,041 4,122 -2.0% 0 0 3,838 3,922 203 200 0 0 Connecticut 1,415 1,442 -1.9% 0 0 1,415 1,442 0 0 0 0 Maine 440 445 -1.3% 0 0 237 246 203 200 0 0 Massachusetts 2,017 2,063 -2.2% 0 0 2,017 2,063 0 0 0 0 New Hampshire 169 172 -2.0% 0 0 169 172 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0

111

SAS Output  

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

B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 1,358 0 311 865 182 2004 2,743 0 651 1,628 464 2005 2,719 0 623 1,536 560 2006 2,840 0 725 1,595 520 2007 2,219 0 768 1,136 315 2008 2,328 0 806 1,514 8 2009 2,426 0 823 1,466 137 2010 2,287 0 819 1,316 152 2011 2,044 0 742 1,148 154 2012 1,986 0 522 1,273 190 2010 January 191 0 69 107 14 February 178 0 61 106 11 March 204 0 66 126 12 April 207 0 67 127 13 May 249 0 67 167 15 June 204 0 69 120 14 July 194 0 68 115 11

112

SAS Output  

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

A. Summer Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Assessment Area, A. Summer Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Assessment Area, 2002 - 2012, Actual Net Internal Demand (Megawatts) -- Summer Eastern Interconnection ERCOT Western Interconnection All Interconnections Period FRCC NPCC Balance of Eastern Region ECAR MAAC MAIN MAPP MISO MRO PJM RFC SERC SPP TRE WECC Contiguous U.S. 2002 37,951 55,164 430,396 101,251 54,296 53,267 -- -- 28,825 -- -- 154,459 38,298 55,833 117,032 696,376 2003 40,387 53,936 422,253 98,487 53,566 53,617 -- -- 28,775 -- -- 148,380 39,428 59,282 120,894 696,752 2004 42,243 51,580 419,349 95,300 52,049 50,499 -- -- 29,094 -- -- 153,024 39,383 58,531 121,205 692,908

113

SAS Output  

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

B. Net Generation from Renewable Sources: Industrial Sector, 2002 - 2012 B. Net Generation from Renewable Sources: Industrial Sector, 2002 - 2012 (Thousand Megawatthours) Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Sources Annual Totals 2002 0 N/A N/A 29,643 N/A N/A N/A 0 3,825 N/A 2003 0 0 0 27,988 96 36 583 0 4,222 32,926 2004 0 0 0 28,367 120 30 647 0 3,248 32,413 2005 0 0 0 28,271 113 34 585 0 3,195 32,199 2006 0 0 0 28,400 29 35 509 0 2,899 31,872 2007 0 0 0 28,287 27 40 565 0 1,590 30,509 2008 0 0 0 26,641 21 0 800 0 1,676 29,138 2009 0 0 0 25,292 22 0 718 0 1,868 27,901 2010 0 2 0 25,706 15 0 853 0 1,668 28,244

114

SAS Output  

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

6. Net Generation from Other Energy Sources 6. Net Generation from Other Energy Sources by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 2,153 2,019 6.7% 0 0 1,944 1,888 88 84 121 46 Connecticut 756 705 7.3% 0 0 756 704 0 0 0 1 Maine 424 390 8.7% 0 0 245 261 88 84 92 45 Massachusetts 906 860 5.5% 0 0 877 860 0 0 29 0 New Hampshire 66 64 2.6% 0 0 66 64 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 2,497 2,441 2.3% 0 0 1,924 1,975 465 344 107 122

115

SAS Output  

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

U.S. Steam Coal Exports" U.S. Steam Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Destination",2013,2013,2012,,,"Change" "North America Total",1619502,1246181,2153814,2865683,3065683,-6.5 " Canada*",797861,599752,841061,1397613,1280803,9.1 " Dominican Republic",51698,160672,124720,212370,312741,-32.1 " Honduras","-",41664,34161,41664,68124,-38.8 " Jamaica",25,36311,"-",36336,33585,8.2 " Mexico",717687,407422,1116653,1125109,1331754,-15.5 " Other**",52231,360,37219,52591,38676,36

116

SAS Output  

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

C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 22,554 695 18,611 2,952 296 2004 22,330 444 17,959 3,439 488 2005 22,089 560 17,655 3,289 584 2006 22,469 500 18,068 3,356 545 2007 21,796 553 17,885 2,921 437 2008 22,134 509 18,294 3,323 8 2009 22,095 465 17,872 3,622 137 2010 21,725 402 17,621 3,549 152 2011 19,016 388 15,367 3,103 158 2012 18,954 418 14,757 3,577 203 2010 January 1,737 30 1,402 291 14 February 1,562 25 1,276 250 11 March 1,854 36 1,500 306 12

117

SAS Output  

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

. Receipts and Quality of Coal Delivered for the Electric Power Industry, 2002 through 2012 . Receipts and Quality of Coal Delivered for the Electric Power Industry, 2002 through 2012 Bituminous Subbituminous Lignite Period Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight 2002 423,128 1.47 10.1 391,785 0.36 6.2 65,555 0.93 13.3 2003 467,286 1.50 10.0 432,513 0.38 6.4 79,869 1.03 14.4 2004 470,619 1.52 10.4 445,603 0.36 6.0 78,268 1.05 14.2 2005 480,179 1.56 10.5 456,856 0.36 6.2 77,677 1.02 14.0 2006 489,550 1.59 10.5 504,947 0.35 6.1 75,742 0.95 14.4 2007 467,817 1.62 10.3 505,155 0.34 6.0 71,930 0.90 14.0

118

SAS Output  

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

Coal Consumption at Other Industrial Plants by Census Division and State" Coal Consumption at Other Industrial Plants by Census Division and State" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "New England","w","w",20,"w","w","w" " Maine","w","w","w","w","w","w" " Massachusetts","w","w","w","w","w","w" "Middle Atlantic",583,589,651,1171,1237,-5.3 " New York",155,181,206,337,374,-10.1

119

SAS Output  

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

D. Landfill Gas: Consumption for Electricity Generation, D. Landfill Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 65,770 3,930 59,089 1,753 998 2004 69,331 5,373 60,514 2,093 1,351 2005 67,902 5,650 58,624 2,360 1,269 2006 75,970 8,287 63,950 3,388 345 2007 79,712 8,620 68,432 2,344 316 2008 94,215 10,242 81,029 2,668 276 2009 99,821 9,748 86,773 2,999 301 2010 105,835 10,029 92,763 2,837 205 2011 112,538 11,146 89,857 11,332 203 2012 124,297 12,721 99,938 10,356 1,282 2010 January 8,441 853 7,335 236 17 February 7,824 830 6,781 197 17 March 9,056 1,013 7,796 226 21

120

SAS Output  

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

D. Natural Gas: Consumption for Electricity Generation, D. Natural Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,249,585 2,307,358 3,214,286 30,626 697,315 2003 5,735,770 1,809,003 3,200,057 39,424 687,286 2004 5,827,470 1,857,247 3,351,469 33,623 585,132 2005 6,212,116 2,198,098 3,444,875 34,645 534,498 2006 6,643,926 2,546,169 3,508,597 35,473 553,687 2007 7,287,714 2,808,500 3,872,646 34,872 571,697 2008 7,087,191 2,803,283 3,712,872 34,138 536,899 2009 7,301,522 2,981,285 3,750,080 35,046 535,111 2010 7,852,665 3,359,035 3,882,995 40,356 570,279 2011 8,052,309 3,511,732 3,906,484 48,509 585,584

Note: This page contains sample records for the topic "analysis system sas" 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

SAS Output  

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

4. Average Price of Coal Receipts at Coke Plants by Census Division" 4. Average Price of Coal Receipts at Coke Plants by Census Division" "(dollars per short ton)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "Middle Atlantic","w","w","w","w","w","w" "East North Central",157.29,176.84,199.7,166.21,198.26,-16.2 "South Atlantic","w","w","w","w","w","w" "East South Central","w","w","w","w","w","w" "U.S. Total",157.26,171.51,191.48,163.85,190.51,-14

122

SAS Output  

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

5. Demand-Side Management Program Direct and Indirect Costs, 5. Demand-Side Management Program Direct and Indirect Costs, 2002 through 2012 (Thousand Dollars) Year Energy Efficiency Load Management Direct Cost Indirect Cost Total Cost 2002 1,032,911 410,323 1,443,234 206,169 1,649,403 2003 807,403 352,137 1,159,540 137,670 1,340,686 2004 910,816 510,281 1,421,097 132,295 1,560,578 2005 1,180,576 622,287 1,802,863 127,925 1,939,115 2006 1,270,602 663,980 1,934,582 128,886 2,072,962 2007 1,677,969 700,362 2,378,331 160,326 2,604,711 2008 2,137,452 836,359 2,973,811 181,843 3,186,742 2009 2,221,480 944,261 3,165,741 394,193 3,607,076 2010 2,906,906 1,048,356 3,955,262 275,158 4,230,420 2011 4,002,672 1,213,102 5,215,774 328,622 5,544,396 2012 4,397,635 1,270,391 5,668,026 332,440 6,000,466

123

SAS Output  

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

B. Net Generation from Renewable Sources: Electric Utilities, 2002 - 2012 B. Net Generation from Renewable Sources: Electric Utilities, 2002 - 2012 (Thousand Megawatthours) Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Sources Annual Totals 2002 213 N/A N/A 709 N/A N/A N/A 1,402 242,302 N/A 2003 354 2 0 882 394 326 214 1,249 249,622 253,043 2004 405 6 0 1,209 460 198 166 1,248 245,546 249,238 2005 1,046 16 0 1,829 503 250 175 1,126 245,553 250,499 2006 2,351 15 0.18 1,937 705 228 190 1,162 261,864 268,452 2007 4,361 10 1 2,226 751 240 226 1,139 226,734 235,687 2008 6,899 16 1 1,888 844 211 252 1,197 229,645 240,953

124

SAS Output  

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

A. Petroleum Liquids: Consumption for Electricity Generation, A. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 134,415 88,595 39,035 826 5,959 2003 175,136 105,319 61,420 882 7,514 2004 165,107 103,793 56,342 760 4,212 2005 165,137 98,223 62,154 580 4,180 2006 73,821 53,529 17,179 327 2,786 2007 82,433 56,910 22,793 250 2,480 2008 53,846 38,995 13,152 160 1,538 2009 43,562 31,847 9,880 184 1,652 2010 40,103 30,806 8,278 164 855 2011 27,326 20,844 5,633 133 716 2012 22,604 17,521 4,110 272 702 2010 January 5,587 4,381 1,083 17 106 February 2,156 1,599 454 15 88

125

SAS Output  

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

C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 137,414 9,168 122,100 3,280 2,865 2004 146,018 11,250 126,584 4,091 4,093 2005 143,822 11,490 124,030 5,232 3,070 2006 162,084 16,617 136,632 7,738 1,096 2007 168,762 17,442 144,490 5,699 1,131 2008 196,802 20,465 170,001 5,668 668 2009 207,585 19,583 181,234 6,106 661 2010 219,954 19,975 193,623 5,905 451 2011 235,990 22,086 183,609 29,820 474 2012 259,564 25,193 204,753 27,012 2,606 2010 January 17,649 1,715 15,406 491 37 February 16,300 1,653 14,198 410 38

126

SAS Output  

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

4. Average Power Plant Operating Expenses for Major U.S. Investor-Owned Electric Utilities, 2002 through 2012 (Mills per Kilowatthour) 4. Average Power Plant Operating Expenses for Major U.S. Investor-Owned Electric Utilities, 2002 through 2012 (Mills per Kilowatthour) Operation Maintenance Year Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale 2002 9.00 2.59 3.71 3.26 5.04 2.67 2.62 2.38 2003 9.12 2.74 3.47 3.50 5.23 2.72 2.32 2.26 2004 8.97 3.13 3.83 4.27 5.38 2.96 2.76 2.14 2005 8.26 3.21 3.95 3.69 5.27 2.98 2.73 1.89 2006 9.03 3.57 3.76 3.51 5.69 3.19 2.70 2.16 2007 9.54 3.63 5.44 3.26 5.79 3.37 3.87 2.42 2008 9.89 3.72 5.78 3.77 6.20 3.59 3.89 2.72 2009 10.00 4.23 4.88 3.05 6.34 3.96 3.50 2.58 2010 10.50 4.04 5.33 2.79 6.80 3.99 3.81 2.73

127

SAS Output  

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

Price of U.S. Coal Imports" Price of U.S. Coal Imports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Origin",2013,2013,2012,,,"Change" "North America Total",147.86,138.39,191.01,144.86,197.96,-26.8 " Canada",147.86,138.39,191,144.86,197.95,-26.8 " Mexico","-","-",286.23,"-",286.23,"-" "South America Total",75.29,80.74,86.52,77.2,87.17,-11.4 " Argentina","-","-",504.7,"-",504.7,"-" " Colombia",74.87,80.74,83.03,76.96,85.25,-9.7 " Peru",87.09,"-","-",87.09,"-","-"

128

SAS Output  

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

4. Fuel-Switching Capacity of Operable Generators: From Natural Gas to Petroleum Liquids, 4. Fuel-Switching Capacity of Operable Generators: From Natural Gas to Petroleum Liquids, by Year of Initial Commercial Operation, 2012 (Megawatts, Percent) Year of Initial Commercial Operation Number of Generators Net Summer Capacity Fuel Switchable Net Summer Capacity Reported to Have No Factors that Limit the Ability to Switch to Petroleum Liquids Pre-1970 318 11,735 7,535 1970-1974 376 18,210 11,033 1975-1979 105 11,031 7,283 1980-1984 46 945 211 1985-1989 107 3,155 413 1990-1994 208 11,738 1,453 1995-1999 134 9,680 2,099 2000-2004 392 39,841 5,098 2005-2009 116 14,791 2,066 2010-2012 78 8,479 320 Total 1,880 129,604 37,510 Notes: Petroleum includes distillate fuel oil (all diesel and No. 1, No. 2, and No. 4 fuel oils), residual fuel oil (No. 5 and No. 6 fuel oils and bunker C fuel oil), jet fuel, kerosene, petroleum coke (converted to liquid petroleum, see Technical Notes for conversion methodology), waste oil, and beginning in 2011, synthetic gas and propane. Prior to 2011, synthetic gas and propane were included in Other Gases.

129

SAS Output  

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

C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 7,353 2,125 3,691 8 1,529 2003 7,067 2,554 3,245 11 1,257 2004 8,721 4,150 3,223 9 1,339 2005 9,113 4,130 3,953 9 1,020 2006 8,622 3,619 3,482 10 1,511 2007 7,299 2,808 2,877 12 1,602 2008 6,314 2,296 2,823 10 1,184 2009 5,828 2,761 1,850 9 1,209 2010 6,053 3,325 1,452 12 1,264 2011 6,092 3,449 1,388 6 1,248 2012 5,021 2,105 869 13 2,034 2010 January 525 283 130 1 110 February 497 258 131 1 106 March 522 308 119 1 94

130

SAS Output  

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

E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 13,694 0 3,118 8,858 1,718 2004 19,991 0 4,746 12,295 2,950 2005 20,296 0 4,551 11,991 3,754 2006 21,729 0 5,347 12,654 3,728 2007 16,174 0 5,683 8,350 2,141 2008 18,272 0 6,039 12,174 59 2009 18,785 0 6,229 11,535 1,021 2010 17,502 0 6,031 10,333 1,138 2011 16,766 0 5,807 9,731 1,227 2012 16,310 0 4,180 10,615 1,515 2010 January 1,476 0 518 851 107 February 1,365 0 444 835 86 March 1,572 0 486 992 93 April 1,598 0 495 1,003 100

131

SAS Output  

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

D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 148,110 5,766 128,947 13,095 302 2004 141,577 3,705 124,815 12,909 146 2005 144,339 4,724 126,529 12,923 164 2006 146,987 4,078 129,779 12,964 165 2007 146,308 4,557 127,826 13,043 881 2008 148,452 4,476 130,041 13,934 0 2009 146,971 3,989 126,649 16,333 0 2010 144,934 3,322 124,437 17,176 0 2011 135,241 3,433 115,841 15,933 34 2012 135,735 3,910 113,418 18,307 100 2010 January 11,540 244 9,886 1,410 0 February 10,313 190 9,030 1,094 0

132

SAS Output  

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

3. Average Quality of Fossil Fuel Receipts for the Electric Power Industry, 3. Average Quality of Fossil Fuel Receipts for the Electric Power Industry, 2002 through 2012 Coal Petroleum Natural Gas Period Average Btu per Pound Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Gallon Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Cubic Foot 2002 10,168 0.94 8.7 147,903 1.64 0.2 1,025 2003 10,137 0.97 9.0 147,086 1.53 0.1 1,030 2004 10,074 0.97 9.0 147,286 1.66 0.2 1,027 2005 10,107 0.98 9.0 146,481 1.61 0.2 1,028 2006 10,063 0.97 9.0 143,883 2.31 0.2 1,027 2007 10,028 0.96 8.8 144,546 2.10 0.1 1,027 2008 9,947 0.97 9.0 142,205 2.21 0.3 1,027 2009 9,902 1.01 8.9 141,321 2.14 0.2 1,025 2010 9,842 1.16 8.8 140,598 2.14 0.2 1,022

133

SAS Output  

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

B. Petroleum Liquids: Consumption for Useful Thermal Output, B. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 12,228 0 286 384 11,558 2003 14,124 0 1,197 512 12,414 2004 20,654 0 1,501 1,203 17,951 2005 20,494 0 1,392 1,004 18,097 2006 14,077 0 1,153 559 12,365 2007 13,462 0 1,303 441 11,718 2008 7,533 0 1,311 461 5,762 2009 8,128 0 1,301 293 6,534 2010 4,866 0 1,086 212 3,567 2011 3,826 0 1,004 168 2,654 2012 3,097 0 992 122 1,984 2010 January 606 0 105 31 470 February 504 0 78 26 401 March 335 0 46 7 281 April 355 0 86 9 260 May 340 0 93 14 232

134

SAS Output  

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

E. Natural Gas: Consumption for Useful Thermal Output, E. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 885,987 0 267,675 45,359 572,953 2003 762,779 0 250,120 21,238 491,421 2004 1,085,191 0 398,476 40,122 646,593 2005 1,008,404 0 392,842 35,037 580,525 2006 968,574 0 339,047 33,928 595,599 2007 894,272 0 347,181 36,689 510,402 2008 813,794 0 333,197 33,434 447,163 2009 836,863 0 312,553 42,032 482,279 2010 841,521 0 308,246 47,001 486,274 2011 861,006 0 315,411 40,976 504,619 2012 909,087 0 330,354 48,944 529,788 2010 January 74,586 0 27,368 4,148 43,070 February 65,539 0 24,180 3,786 37,573

135

SAS Output  

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

5. Net Generation from Hydroelectric (Pumped Storage) Power 5. Net Generation from Hydroelectric (Pumped Storage) Power by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England -305 -435 -29.9% 0 0 -305 -435 0 0 0 0 Connecticut 3 6 -51.5% 0 0 3 6 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts -308 -440 -30.1% 0 0 -308 -440 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic -1,022 -1,124 -9.0% -579 -630 -443 -494 0 0 0 0

136

SAS Output  

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

Average Price of U.S. Coal Exports" Average Price of U.S. Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Destination",2013,2013,2012,,,"Change" "North America Total",78.29,77.25,102.62,77.88,105.14,-25.9 " Canada*",81.61,80.7,110.67,81.3,112.16,-27.5 " Dominican Republic",78.54,75.09,73.89,75.77,76.61,-1.1 " Honduras","-",54.58,54.43,54.58,54.43,0.3 " Jamaica",480,54.43,"-",54.72,55.42,-1.3 " Mexico",73.45,75.81,94.36,74.35,100.95,-26.3 " Other**",80.33,389.3,70.37,82.45,76.1,8.3

137

SAS Output  

Gasoline and Diesel Fuel Update (EIA)

B. U.S. Transformer Outages by Type and NERC region, 2012 Outage Type Eastern Interconnection TRE WECC Contiguous U.S. Circuit Outage Counts Automatic Outages (Sustained) 16.00 --...

138

SAS Output  

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

components because of independent rounding." "Source: U.S. Department of Labor, Mine Safety and Health Administration, Form 7000-2, 'Quarterly Mine Employment and Coal Production...

139

SAS Output  

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

B. Summer Net Internal Demand, Capacity Resources, and Capacity Margins B. Summer Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Assessment Area, 2012 Actual, 2013-2017 Projected Net Internal Demand (Megawatts) -- Summer Eastern Interconnection ERCOT Western Interconnection All Interconnections Period FRCC NPCC Balance of Eastern Region MAPP MISO PJM SERC SPP TRE WECC Contiguous U.S. Actual 2012 44,338 58,319 469,273 4,967 96,769 156,319 158,041 53,177 66,548 130,465 768,943 Projected 2013 42,532 59,969 447,171 5,022 91,644 144,378 152,949 53,177 65,901 129,278 744,851 Projected 2014 43,142 60,654 448,912 5,161 92,331 144,497 152,843 54,080 67,592 128,200 748,499 Projected 2015 43,812 61,428 457,865 5,270 93,017 147,568 157,287 54,722 69,679 129,553 762,336

140

SAS Output  

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

A. Net Generation by Energy Source: Industrial Sector, 2002 - 2012 A. Net Generation by Energy Source: Industrial Sector, 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 21,525 3,196 1,207 79,013 9,493 0 3,825 30,489 0 3,832 152,580 2003 19,817 3,726 1,559 78,705 12,953 0 4,222 28,704 0 4,843 154,530 2004 19,773 4,128 1,839 78,959 11,684 0 3,248 29,164 0 5,129 153,925 2005 19,466 3,804 1,564 72,882 9,687 0 3,195 29,003 0 5,137 144,739 2006 19,464 2,567 1,656 77,669 9,923 0 2,899 28,972 0 5,103 148,254 2007 16,694 2,355 1,889 77,580 9,411 0 1,590 28,919 0 4,690 143,128

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141

SAS Output  

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

A. Existing Net Summer Capacity by Energy Source and Producer Type, 2002 through 2012 (Megawatts) A. Existing Net Summer Capacity by Energy Source and Producer Type, 2002 through 2012 (Megawatts) Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewable Sources Hydroelectric Pumped Storage Other Energy Sources Total Total (All Sectors) 2002 315,350 59,651 312,512 2,008 98,657 79,356 16,710 20,371 686 905,301 2003 313,019 60,730 355,442 1,994 99,209 78,694 18,153 20,522 684 948,446 2004 313,020 59,119 371,011 2,296 99,628 77,641 18,717 20,764 746 962,942 2005 313,380 58,548 383,061 2,063 99,988 77,541 21,205 21,347 887 978,020 2006 312,956 58,097 388,294 2,256 100,334 77,821 24,113 21,461 882 986,215 2007 312,738 56,068 392,876 2,313 100,266 77,885 30,069 21,886 788 994,888

142

SAS Output  

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

0. Average Cost of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 0. Average Cost of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England 3.69 4.94 -25% 4.73 5.70 3.68 4.93 Connecticut 3.88 4.97 -22% 6.45 NM 3.87 4.96 Maine W W W -- -- W W Massachusetts 3.55 4.88 -27% 4.47 5.75 3.53 4.87 New Hampshire W W W 5.54 6.01 W W Rhode Island 3.86 5.01 -23% -- -- 3.86 5.01 Vermont 4.06 5.22 -22% 4.06 5.22 -- -- Middle Atlantic 3.52 5.14 -32% 3.86 5.32 3.46 5.11 New Jersey 3.52 5.11 -31% -- -- 3.52 5.11 New York 3.85 5.45 -29% 3.86 5.32 3.84 5.50

143

SAS Output  

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

. Average Operating Heat Rate for Selected Energy Sources, . Average Operating Heat Rate for Selected Energy Sources, 2002 through 2012 (Btu per Kilowatthour) Year Coal Petroleum Natural Gas Nuclear 2002 10,314 10,641 9,533 10,442 2003 10,297 10,610 9,207 10,422 2004 10,331 10,571 8,647 10,428 2005 10,373 10,631 8,551 10,436 2006 10,351 10,809 8,471 10,435 2007 10,375 10,794 8,403 10,489 2008 10,378 11,015 8,305 10,452 2009 10,414 10,923 8,159 10,459 2010 10,415 10,984 8,185 10,452 2011 10,444 10,829 8,152 10,464 2012 10,498 10,991 8,039 10,479 Coal includes anthracite, bituminous, subbituminous and lignite coal. Waste coal and synthetic coal are included starting in 2002. Petroleum includes distillate fuel oil (all diesel and No. 1 and No. 2 fuel oils), residual fuel oil (No. 5 and No. 6 fuel oils and bunker C fuel oil, jet fuel, kerosene, petroleum coke, and waste oil.

144

SAS Output  

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

0. Net Generation from Natural Gas 0. Net Generation from Natural Gas by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 62,490 63,236 -1.2% 345 357 58,757 59,763 901 700 2,488 2,416 Connecticut 16,537 15,188 8.9% 6 NM 15,801 14,715 397 211 333 227 Maine 6,044 6,877 -12.1% 0 0 4,057 4,850 26 0.26 1,960 2,026 Massachusetts 24,672 25,940 -4.9% 278 240 23,812 25,120 416 443 166 136 New Hampshire 7,050 6,658 5.9% 58 80 6,947 6,552 16 0 29 26 Rhode Island 8,185 8,571 -4.5% 0 0 8,140 8,525 45 46 0 0

145

SAS Output  

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

4. Average Quality of Coal Received at Commercial and Institutional Users by Census Division and State" 4. Average Quality of Coal Received at Commercial and Institutional Users by Census Division and State" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State1",2013,2013,2012,,,"Change" "Middle Atlantic" " Btu",12906,12815,11709,12844,12440,3.2 " Sulfur",1.03,0.92,0.99,0.96,0.97,-1 " Ash",8.94,8.62,10,8.72,9.11,-4.3 "Pennsylvania" " Btu",12906,12815,11709,12844,12440,3.2 " Sulfur",1.03,0.92,0.99,0.96,0.97,-1 " Ash",8.94,8.62,10,8.72,9.11,-4.3 "East North Central" " Btu",11928,12228,11682,12112,11933,1.5

146

SAS Output  

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

Major U.S. Coal Producers, 2012" Major U.S. Coal Producers, 2012" "Rank","Controlling Company Name","Production (thousand short tons)","Percent of Total Production" 1,"Peabody Energy Corp",192563,18.9 2,"Arch Coal Inc",136992,13.5 3,"Alpha Natural Resources LLC",104306,10.3 4,"Cloud Peak Energy",90721,8.9 5,"CONSOL Energy Inc",55752,5.5 6,"Alliance Resource Operating Partners LP",35406,3.5 7,"Energy Future Holdings Corp",31032,3.1 8,"Murray Energy Corp",29216,2.9 9,"NACCO Industries Inc",28207,2.8 10,"Patriot Coal Corp",23946,2.4 11,"Peter Kiewit Sons Inc",22725,2.2 12,"Westmoreland Coal Co",22215,2.2 13,"BHP Billiton Ltd",12580,1.2

147

SAS Output  

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

5. Receipts of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 5. Receipts of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 106 79 35% 0 0 0 23 0 0 106 56 New Jersey 0 NM NM 0 0 0 0 0 0 0 NM

148

SAS Output  

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

1. Useful Thermal Output by Energy Source: Total Combined Heat and Power (All Sectors), 2002 - 2012 1. Useful Thermal Output by Energy Source: Total Combined Heat and Power (All Sectors), 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 336,848 61,313 11,513 708,738 117,513 571,509 48,263 1,855,697 2003 333,361 68,329 16,934 610,122 110,263 632,366 54,960 1,826,335 2004 351,871 80,824 16,659 654,242 126,157 667,341 45,456 1,942,550 2005 341,806 79,362 13,021 624,008 138,469 664,691 41,400 1,902,757 2006 332,548 54,224 24,009 603,288 126,049 689,549 49,308 1,878,973 2007 326,803 50,882 25,373 554,394 116,313 651,230 46,822 1,771,816 2008 315,244 29,554 18,263 509,330 110,680 610,131 23,729 1,616,931 2009 281,557 32,591 20,308 513,002 99,556 546,974 33,287 1,527,276

149

SAS Output  

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

6. Net Generation 6. Net Generation by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 120,887 123,338 -2.0% 3,278 4,408 111,191 112,613 1,178 949 5,240 5,368 Connecticut 36,118 33,745 7.0% 37 93 35,347 33,208 397 211 337 233 Maine 14,429 15,974 -9.7% 0.17 1 10,186 10,890 208 176 4,035 4,907 Massachusetts 36,198 38,055 -4.9% 591 610 34,321 36,783 469 490 817 172 New Hampshire 19,264 20,066 -4.0% 2,017 2,994 17,170 17,020 49 20 29 31

150

SAS Output  

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

B. Net Summer Capacity of Utility Scale Units Using Primarily Renewable Energy Sources and by State, 2012 and 2011 (Megawatts) B. Net Summer Capacity of Utility Scale Units Using Primarily Renewable Energy Sources and by State, 2012 and 2011 (Megawatts) Census Division and State Wind Solar Photovoltaic Solar Thermal Conventional Hydroelectric Biomass Sources Geothermal Total Renewable Sources Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 784.1 422.8 49.2 13.9 0.0 0.0 1,956.9 1,946.9 1,367.5 1,421.6 0.0 0.0 4,157.7 3,805.2 Connecticut 0.0 0.0 0.0 0.0 0.0 0.0 122.2 121.7 172.5 178.2 0.0 0.0 294.7 299.9 Maine 427.6 322.5 0.0 0.0 0.0 0.0 742.3 742.3 534.6 576.0 0.0 0.0 1,704.5 1,640.8 Massachusetts 63.8 29.6 41.2 11.7 0.0 0.0 261.1 262.7 395.4 406.9 0.0 0.0 761.5 710.9

151

SAS Output  

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

3. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Independent Power Producers by State, 2012 3. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Independent Power Producers by State, 2012 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 732 0.87 10.5 41 0.09 2.0 0 -- -- Connecticut 0 -- -- 41 0.09 2.0 0 -- -- Maine 32 0.80 7.0 0 -- -- 0 -- -- Massachusetts 700 0.88 10.7 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- -- 0 -- --

152

SAS Output  

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

7. Average Cost of Coal Delivered for Electricity Generation by State, 2012 and 2011 7. Average Cost of Coal Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England 3.59 3.68 -2.4% 4.07 3.55 3.34 3.74 Connecticut W W W -- -- W W Maine W W W -- -- W W Massachusetts W W W -- -- W W New Hampshire 4.07 3.55 15% 4.07 3.55 -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- -- -- -- -- -- -- Middle Atlantic 2.50 2.68 -6.7% -- 2.92 2.50 2.63 New Jersey 4.05 4.18 -3.1% -- -- 4.05 4.18 New York 3.12 3.27 -4.6% -- 3.88 3.12 3.27 Pennsylvania 2.43 2.55 -4.7% -- 2.91 2.43 2.45

153

SAS Output  

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

. Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources within Plant, 2002 through 2012 . Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources within Plant, 2002 through 2012 Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewables Hydroelectric Pumped Storage Other Energy Sources Total (All Sectors) 2002 633 1,147 1,649 40 66 1,426 682 38 28 2003 629 1,166 1,693 40 66 1,425 741 38 27 2004 625 1,143 1,670 46 66 1,425 749 39 28 2005 619 1,133 1,664 44 66 1,422 781 39 29 2006 616 1,148 1,659 46 66 1,421 843 39 29 2007 606 1,163 1,659 46 66 1,424 929 39 25 2008 598 1,170 1,655 43 66 1,423 1,076 39 29 2009 593 1,168 1,652 43 66 1,427 1,219 39 28 2010 580 1,169 1,657 48 66 1,432 1,355 39 32

154

SAS Output  

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

2. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 (continued) 2. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2002 3,846 138 0.76 21.20 5.91 9.1 852,547 828,439 3.36 3.46 66.8 2.88 2003 16,383 594 1.04 28.74 5.73 47.3 823,681 798,996 5.32 5.48 69.9 4.20 2004 14,876 540 0.98 27.01 5.59 40.4 839,886 814,843 6.04 6.22 68.4 4.76 2005 16,620 594 1.21 33.75 5.44 58.2 828,882 805,132 8.00 8.24 74.3 6.18

155

SAS Output  

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

A. Existing Transmission Capacity by High-Voltage Size, 2012 A. Existing Transmission Capacity by High-Voltage Size, 2012 Voltage Circuit Miles Type Operating (kV) FRCC MRO NPCC RFC SERC SPP TRE WECC Contiguous U.S. AC 100-199 -- -- -- -- -- -- -- -- -- AC 200-299 6,018 7,813 1,538 6,933 21,757 2,948 -- 38,410 85,416 AC 300-399 -- 7,362 5,850 13,429 3,650 5,303 9,529 10,913 56,036 AC 400-599 1,201 543 -- 2,618 8,876 94 -- 12,794 26,125 AC 600-799 -- -- 190 2,226 -- -- -- -- 2,416 AC Multi-Circuit Structure 200-299 1,198 686 36 2,008 4,156 9 -- -- 8,092 AC Multi-Circuit Structure 300-399 -- 372 274 3,706 313 153 2,747 -- 7,564 AC Multi-Circuit Structure 400-599 -- -- -- 90 857 -- -- -- 947 AC Multi-Circuit Structure 600-799 -- -- -- -- -- -- -- -- --

156

SAS Output  

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

A. Net Energy for Load by North American Electric Reliability Corporation Assessment Area, A. Net Energy for Load by North American Electric Reliability Corporation Assessment Area, 2002 - 2012, Actual Net Energy (Thousands of Megawatthours) Eastern Interconnection ERCOT Western Interconnection All Interconnections Period FRCC NPCC Balance of Eastern Region ECAR MAAC MAIN MAPP MISO MRO PJM RFC SERC SPP TRE WECC Contiguous U.S. 2002 211,116 286,199 2,301,321 567,897 273,907 279,264 -- -- 150,058 -- -- 835,319 194,876 280,269 666,696 3,745,601 2003 219,021 288,791 2,255,233 545,109 276,600 267,068 -- -- 153,918 -- -- 826,964 185,574 283,868 664,754 3,711,667 2004 220,335 292,725 2,313,180 553,236 283,646 274,760 -- -- 152,975 -- -- 856,734 191,829 289,146 682,053 3,797,439 2005 226,544 303,607 2,385,461 -- -- -- -- -- 216,633 -- 1,005,226 962,054 201,548 299,225 685,624 3,900,461

157

SAS Output  

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

U.S. Coal Exports" U.S. Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Destination",2013,2013,2012,,,"Change" "North America Total",3122664,2010882,3565711,5133546,5327583,-3.6 " Canada*",1773644,943061,2101534,2716705,3176066,-14.5 " Dominican Republic",51792,211736,124720,263528,312741,-15.7 " Honduras","-",41664,34161,41664,68124,-38.8 " Jamaica",25,36311,"-",36336,33585,8.2 " Mexico",1244972,777750,1268077,2022722,1698391,19.1 " Other**",52231,360,37219,52591,38676,36

158

SAS Output  

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

A. Net Summer Capacity of Utility Scale Units by Technology and by State, 2012 and 2011 (Megawatts) A. Net Summer Capacity of Utility Scale Units by Technology and by State, 2012 and 2011 (Megawatts) Census Division and State Renewable Sources Fossil Fuels Hydroelectric Pumped Storage Other Energy Storage Nuclear All Other Sources All Sources Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 4,157.7 3,805.2 24,619.1 24,153.6 1,753.4 1,709.4 3.0 3.0 4,630.3 4,653.7 48.0 26.0 35,211.5 34,350.9 Connecticut 294.7 299.9 6,607.7 6,674.5 29.4 29.4 0.0 0.0 2,102.5 2,102.5 26.0 26.0 9,060.3 9,132.3 Maine 1,704.5 1,640.8 2,764.9 2,737.4 0.0 0.0 0.0 0.0 0.0 0.0 22.0 0.0 4,491.4 4,378.2 Massachusetts 761.5 710.9 11,155.2 10,637.8 1,724.0 1,680.0 3.0 3.0 677.3 684.7 0.0 0.0 14,321.0 13,716.4

159

SAS Output  

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

by State" by State" "(thousand short tons)" ,,,,"Year to Date" "Coal-Producing Region","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "Alabama",4649,4410,5171,9059,10150,-10.8 "Alaska",442,300,542,742,1091,-32 "Arizona",2184,1825,2002,4009,4169,-3.8 "Arkansas",2,4,11,6,33,-83.1 "Colorado",5297,5781,6885,11079,13914,-20.4 "Illinois",13474,13996,12487,27470,24419,12.5 "Indiana",9516,9422,9147,18938,18794,0.8 "Kansas",5,5,5,9,8,23.7 "Kentucky Total",20683,20594,22803,41276,49276,-16.2 " Eastern (Kentucky)",10392,10144,12444,20536,27516,-25.4

160

SAS Output  

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

2. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2002 - 2012 2. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 40,020 1,319 2,550 214,137 5,961 12,550 4,732 281,269 2003 38,249 5,551 1,828 200,077 9,282 19,785 3,296 278,068 2004 39,014 5,731 2,486 239,416 18,200 17,347 3,822 326,017 2005 39,652 5,571 2,238 239,324 36,694 18,240 3,884 345,605 2006 38,133 4,812 2,253 207,095 22,567 17,284 4,435 296,579 2007 38,260 5,294 1,862 212,705 20,473 19,166 4,459 302,219 2008 37,220 5,479 1,353 204,167 22,109 17,052 4,854 292,234 2009 38,015 5,341 1,445 190,875 19,830 17,625 5,055 278,187

Note: This page contains sample records for the topic "analysis system sas" 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

SAS Output  

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

0. Net Generation from Solar 0. Net Generation from Solar by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 35 7 427.1% 9 4 25 2 1 1 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 30 5 521.6% 9 4 20 0.14 1 1 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 5 2 179.0% 0 0 5 2 0 0 0 0 Middle Atlantic 389 98 295.3% 41 19 303 65 37 8 8 5

162

SAS Output  

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

A. Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Assessment Area, A. Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Assessment Area, 2002 - 2012, Actual Net Internal Demand (Megawatts) -- Winter Eastern Interconnection ERCOT Western Interconnection All Interconnections Period FRCC NPCC Balance of Eastern Region ECAR MAAC MAIN MAPP MISO MRO PJM RFC SERC SPP TRE WECC Contiguous U.S. 2002 / 2003 42,001 45,980 360,748 84,844 46,159 39,974 -- -- 23,090 -- -- 137,541 29,140 44,719 94,554 588,002 2003 / 2004 36,229 47,850 357,026 86,332 45,625 39,955 -- -- 24,042 -- -- 133,244 27,828 41,988 100,337 583,430 2004 / 2005 41,449 47,859 371,011 91,800 45,565 40,618 -- -- 24,446 -- -- 139,486 29,096 44,010 101,002 605,331

163

SAS Output  

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

Coal Consumers in the Manufacturing and Coke Sectors, 2012" Coal Consumers in the Manufacturing and Coke Sectors, 2012" "Company Name","Plant Location" "Top Ten Manufacturers" "American Crystal Sugar Co","MN, ND" "Archer Daniels Midland","IA, IL, MN, ND, NE" "Carmeuse Lime Stone Inc","AL, IL, IN, KY, MI, OH, PA, TN, VA, WI" "Cemex Inc","AL, CA, CO, FL, GA, KY, OH, TN, TX" "Dakota Gasification Company","ND" "Eastman Chemical Company","TN" "Georgia-Pacific LLC","AL, GA, OK, VA, WI" "Holcim (US) Inc","AL, CO, MD, MO, MT, OK, SC, TX, UT" "NewPage Corporation","MD, MI, WI" "U S Steel Corporation","AL, IN, MI, MN"

164

SAS Output  

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

B. Net Generation from Renewable Sources: Commerical Sector, 2002 - 2012 B. Net Generation from Renewable Sources: Commerical Sector, 2002 - 2012 (Thousand Megawatthours) Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Sources Annual Totals 2002 0 N/A N/A 13 N/A N/A N/A 0 13 N/A 2003 0 0 0 13 152 717 420 0 72 1,374 2004 0 0 0 13 172 945 444 0 105 1,680 2005 0 0 0 16 218 953 486 0 86 1,759 2006 0 0 0 21 173 956 470 0 93 1,713 2007 0 0 0 15 203 962 434 0 77 1,691 2008 0 0.08 0 21 234 911 389 0 60 1,615 2009 0.21 0.04 0 20 318 1,045 386 0 71 1,839 2010 16 5 0 21 256 1,031 386 0 80 1,794 2011 51 84 0 26 952 971 393 0 26 2,502

165

SAS Output  

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

4. Net Generation from Renewable Sources Excluding Hydroelectric 4. Net Generation from Renewable Sources Excluding Hydroelectric by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 8,557 8,015 6.8% 664 574 5,652 5,352 136 104 2,105 1,985 Connecticut 667 660 1.0% 0 0 667 660 0 0 0 0 Maine 4,099 4,495 -8.8% 0 0 2,468 2,421 92 89 1,539 1,985 Massachusetts 1,843 1,207 52.8% 68 48 1,198 1,145 11 13 566 0 New Hampshire 1,381 1,091 26.6% 347 291 1,003 800 31 0 0 0.35 Rhode Island 102 130 -21.8% 0 0 102 130 0 0 0 0

166

SAS Output  

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

3. Average Quality of Coal Received at Manufacturing and Coke Plants by Census Division and State" 3. Average Quality of Coal Received at Manufacturing and Coke Plants by Census Division and State" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State1",2013,2013,2012,,,"Change" "New England" " Btu",13323,13196,13391,13253,13339,-0.6 " Sulfur",0.84,0.89,0.72,0.87,0.72,20.3 " Ash",5.95,5.81,5.93,5.87,6.09,-3.6 "Maine" " Btu","w","w","w","w","w","w" " Sulfur","w","w","w","w","w","w" " Ash","w","w","w","w","w","w"

167

SAS Output  

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

9. Net Generation from Petroleum Coke 9. Net Generation from Petroleum Coke by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 76 344 -78.0% 0 0 0 263 0 0 76 81 New Jersey 40 58 -30.6% 0 0 0 0 0 0 40 58

168

SAS Output  

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

8. Net Generation from Petroleum Liquids 8. Net Generation from Petroleum Liquids by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 413 639 -35.4% 52 120 267 374 49 55 45 90 Connecticut 112 166 -32.6% 4 5 104 155 0.05 0 4 5 Maine 84 178 -52.8% 0.17 1 65 89 2 3 16 85 Massachusetts 174 197 -11.2% 15 40 98 128 37 28 25 NM New Hampshire 22 78 -72.1% 20 57 0.12 1 2 20 0.17 0.10 Rhode Island 18 14 31.0% 11 10 0.12 1 7 2 0 0 Vermont 3 8 -58.1% 2 6 0 0 1 2 0 0

169

SAS Output  

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

Average Number of Employees at Underground and Surface Mines by State and Union Status, 2012" Average Number of Employees at Underground and Surface Mines by State and Union Status, 2012" ,"Union",,"Nonunion" "Coal-Producing State","Underground","Surface","Underground","Surface" "and Region1" "Alabama",3044,70,89,1677 "Alaska","-",143,"-","-" "Arizona","-",432,"-","-" "Arkansas","-","-",70,"-" "Colorado",174,212,1858,261 "Illinois",647,58,3291,534 "Indiana","-","-",2054,1868 "Kentucky Total",564,93,10122,4595 " Kentucky (East)",48,93,6821,3943 " Kentucky (West)",516,"-",3301,652

170

SAS Output  

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

A. Net Generation by Energy Source: Commerical Sector, 2002 - 2012 A. Net Generation by Energy Source: Commerical Sector, 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 992 426 6 4,310 0.01 0 13 1,065 0 603 7,415 2003 1,206 416 8 3,899 0 0 72 1,302 0 594 7,496 2004 1,340 493 7 3,969 0 0 105 1,575 0 781 8,270 2005 1,353 368 7 4,249 0 0 86 1,673 0 756 8,492 2006 1,310 228 7 4,355 0.04 0 93 1,619 0 758 8,371 2007 1,371 180 9 4,257 0 0 77 1,614 0 764 8,273 2008 1,261 136 6 4,188 0 0 60 1,555 0 720 7,926 2009 1,096 157 5 4,225 0 0 71 1,769 0 842 8,165

171

SAS Output  

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

Average Number of Employees by State and Mine Type, 2012 and 2011" Average Number of Employees by State and Mine Type, 2012 and 2011" ,2012,,,2011,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total","Underground","Surface","Total" "State and Region1" "Alabama",3190,1851,5041,3138,1618,4756,1.7,14.4,6 "Alaska","-",143,143,"-",136,136,"-",5.1,5.1 "Arizona","-",432,432,"-",419,419,"-",3.1,3.1 "Arkansas",70,3,73,67,3,70,4.5,"-",4.3 "Colorado",2032,473,2505,1927,478,2405,5.4,-1,4.2 "Illinois",3938,574,4512,3563,542,4105,10.5,5.9,9.9

172

SAS Output  

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

Capacity Utilization of Coal Mines by State, 2012 and 2011" Capacity Utilization of Coal Mines by State, 2012 and 2011" "(percent)" ,2012,,,2011 "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",85.99,83.96,85.28,67.52,90.91,75.85 "Alaska","-","w","w","-","w","w" "Arizona","-","w","w","-","w","w" "Arkansas","w","-","w","w","-","w" "Colorado","w","w",76.65,"w","w",74.63 "Illinois",71.02,57.41,69.11,71.73,53.22,68.54

173

SAS Output  

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

2. U.S. Coke Summary Statistics, 2007 - 2013" 2. U.S. Coke Summary Statistics, 2007 - 2013" "(thousand short tons)" "Year and","Production","Imports","Producer and","Consumption2","Exports" "Quarter",,,"Distributor" ,,,"Stocks1" 2007 " January - March",4000,454,717,4078,343 " April - June",4083,685,767,4428,291 " July - September",4063,521,637,4371,344 " October - December",4055,800,632,4394,466 " Total",16201,2460,,17270,1444 2008 " January - March",4036,850,478,4723,316 " April - June",3810,1243,505,4559,466 " July - September",4107,998,464,4494,653 " October - December",3694,512,916,3229,524

174

SAS Output  

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

2. Underground Coal Mining Productivity by State and Mining Method, 2012" 2. Underground Coal Mining Productivity by State and Mining Method, 2012" "(short tons produced per employee hour)" "Coal-Producing State, Region1 and Mine Type","Continuous2","Conventional and","Longwall4","Total" ,,"Other3" "Alabama",0.71,"-",1.69,1.66 "Arkansas",0.59,"-","-",0.59 "Colorado",1.9,"-",6.38,5.93 "Illinois",3.65,"-",6.6,4.86 "Indiana",3.25,"-","-",3.25 "Kentucky Total",2.43,1.77,"-",2.39 " Kentucky (East)",1.61,1.77,"-",1.62 " Kentucky (West)",3.61,"-","-",3.56 "Maryland",1.8,"-","-",1.8

175

SAS Output  

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

1. Average Sales Price of Coal by State and Coal Rank, 2012" 1. Average Sales Price of Coal by State and Coal Rank, 2012" "(dollars per short ton)" "Coal-Producing State","Bituminous","Subbituminous","Lignite","Anthracite","Total" "Alabama",106.57,"-","-","-",106.57 "Alaska","-","w","-","-","w" "Arizona","w","-","-","-","w" "Arkansas","w","-","-","-","w" "Colorado","w","w","-","-",37.54 "Illinois",53.08,"-","-","-",53.08 "Indiana",52.01,"-","-","-",52.01

176

SAS Output  

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

Average Price of U.S. Coal Exports and Imports, 2007 - 2013" Average Price of U.S. Coal Exports and Imports, 2007 - 2013" "(dollars per short ton)" ,"January - March",,"April - June",,"July - September",,"October - December",,"Total" "Year","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports" 2007,74.13,45.91,64.3,46.86,72.1,47.38,71.09,50.51,70.25,47.64 2008,81.81,52.91,97.24,55.59,102.51,64.65,104.97,65.33,97.68,59.83 2009,113.08,61.03,93.28,65.44,98.7,64.93,100.98,64.72,101.44,63.91 2010,106.52,62.02,121.36,71.91,125.45,77.12,126.16,76.18,120.41,71.77 2011,139.34,86,153,105.86,155.88,112.06,147.38,110.19,148.86,103.32

177

SAS Output  

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

1. Coke and Breeze Stocks at Coke Plants by Census Division" 1. Coke and Breeze Stocks at Coke Plants by Census Division" "(thousand short tons)" "Census Division","April - June","January - March","April - June","Percent Change" ,2013,2013,2012,"(June 30)" ,,,,"2013 versus 2012" "Middle Atlantic","w","w","w","w" "East North Central",724,510,509,42.1 "South Atlantic","w","w","w","w" "East South Central","w","w","w","w" "U.S. Total",914,690,674,35.6 "Coke Total",757,573,594,27.5 "Breeze Total",157,117,80,95.2 "w = Data withheld to avoid disclosure."

178

SAS Output  

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

5. Planned Generating Capacity Changes, by Energy Source, 2013-2017 5. Planned Generating Capacity Changes, by Energy Source, 2013-2017 Generator Additions Generator Retirements Net Capacity Additions Energy Source Number of Generators Net Summer Capacity Number of Generators Net Summer Capacity Number of Generators Net Summer Capacity 2013 U.S. Total 513 15,144 179 12,604 334 2,540 Coal 4 1,482 28 4,465 -24 -2,983 Petroleum 21 45 41 1,401 -20 -1,356 Natural Gas 87 6,818 55 2,950 32 3,868 Other Gases -- -- 1 4 -1 -4 Nuclear -- -- 4 3,576 -4 -3,576 Hydroelectric Conventional 17 385 36 185 -19 201 Wind 25 2,225 -- -- 25 2,225 Solar Thermal and Photovoltaic 277 3,460 1 1 276 3,459 Wood and Wood-Derived Fuels 10 489 -- -- 10 489 Geothermal 5 50 1 11 4 39

179

SAS Output  

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

3. Useful Thermal Output by Energy Source: Commerical Sector Combined Heat and Power, 2002 - 2012 3. Useful Thermal Output by Energy Source: Commerical Sector Combined Heat and Power, 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 18,477 2,600 143 36,265 0 6,902 4,801 69,188 2003 22,780 2,520 196 16,955 0 8,296 6,142 56,889 2004 22,450 4,118 165 21,851 0 8,936 6,350 63,871 2005 22,601 3,518 166 20,227 0 8,647 5,921 61,081 2006 22,186 2,092 172 19,370 0.22 9,359 6,242 59,422 2007 22,595 1,640 221 20,040 0 6,651 3,983 55,131 2008 22,991 1,822 177 20,183 0 8,863 6,054 60,091 2009 20,057 1,095 155 25,902 0 8,450 5,761 61,420 2010 19,216 845 216 29,791 13 7,917 5,333 63,330 2011 17,234 687 111 24,848 14 7,433 5,988 56,314

180

SAS Output  

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

Coal Production and Number of Mines by State and Mine Type, 2012 and 2011" Coal Production and Number of Mines by State and Mine Type, 2012 and 2011" "(thousand short tons)" ,2012,,2011,,"Percent Change" "Coal-Producing","Number of Mines","Production","Number of Mines","Production","Number of Mines","Production" "State and Region1" "Alabama",46,19321,52,19071,-11.5,1.3 " Underground",8,12570,9,10879,-11.1,15.5 " Surface",38,6752,43,8192,-11.6,-17.6 "Alaska",1,2052,1,2149,"-",-4.5 " Surface",1,2052,1,2149,"-",-4.5 "Arizona",1,7493,1,8111,"-",-7.6 " Surface",1,7493,1,8111,"-",-7.6 "Arkansas",2,98,2,133,"-",-26.4

Note: This page contains sample records for the topic "analysis system sas" 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

SAS Output  

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

8. Net Generation from Biomass 8. Net Generation from Biomass by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 7,229 7,138 1.3% 570 515 4,428 4,544 125 94 2,105 1,985 Connecticut 667 660 1.0% 0 0 667 660 0 0 0 0 Maine 3,212 3,788 -15.2% 0 0 1,581 1,714 92 89 1,539 1,985 Massachusetts 1,724 1,140 51.2% 0 0 1,157 1,137 1 3 566 0 New Hampshire 1,173 1,025 14.4% 347 291 795 734 31 0 0 0.35 Rhode Island 101 127 -21.1% 0 0 101 127 0 0 0 0

182

SAS Output  

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

B. Net Generation from Renewable Sources: Independent Power Producers, 2002 - 2012 B. Net Generation from Renewable Sources: Independent Power Producers, 2002 - 2012 (Thousand Megawatthours) Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Sources Annual Totals 2002 10,141 N/A N/A 8,300 N/A N/A N/A 13,089 18,189 N/A 2003 10,834 0 532 8,645 4,435 7,227 1,211 13,175 21,890 67,949 2004 13,739 0 569 8,528 4,377 6,978 884 13,563 19,518 68,154 2005 16,764 0 535 8,741 4,308 7,092 701 13,566 21,486 73,195 2006 24,238 0 493 8,404 4,771 7,259 774 13,406 24,390 83,736 2007 30,089 6 595 8,486 5,177 7,061 839 13,498 19,109 84,860 2008 48,464 60 787 8,750 6,057 6,975 1,040 13,643 23,451 109,226

183

SAS Output  

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

7. Year-End Coal Stocks by Sector, Census Division, and State, 2012 and 2011" 7. Year-End Coal Stocks by Sector, Census Division, and State, 2012 and 2011" "(thousand short tons)" ,2012,,,,,2011,,,,,"Total" "Census Division","Electric","Other","Coke","Commercial","Producer","Electric","Other","Coke","Commercial","Producer",2012,2011,"Percent" "and State","Power1","Industrial",,"and","and","Power1","Industrial",,"and","and",,,"Change" ,,,,"Institutional","Distributor",,,,"Institutional","Distributor" "New England",1030,13,"-","-","-",1389,"w","-","-","-",1042,"w","w"

184

SAS Output  

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

2. Net Generation from Nuclear Energy 2. Net Generation from Nuclear Energy by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 36,116 34,283 5.3% 0 0 36,116 34,283 0 0 0 0 Connecticut 17,078 15,928 7.2% 0 0 17,078 15,928 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 5,860 5,085 15.2% 0 0 5,860 5,085 0 0 0 0 New Hampshire 8,189 8,363 -2.1% 0 0 8,189 8,363 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 4,989 4,907 1.7% 0 0 4,989 4,907 0 0 0 0

185

SAS Output  

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

7. Net Generation from Coal 7. Net Generation from Coal by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 4,103 6,848 -40.1% 1,268 2,208 2,793 4,592 0 0 42 47 Connecticut 653 526 24.2% 0 0 653 526 0 0 0 0 Maine 45 55 -18.0% 0 0 30 38 0 0 15 18 Massachusetts 2,137 4,059 -47.4% 0 0 2,110 4,029 0 0 27 30 New Hampshire 1,268 2,208 -42.6% 1,268 2,208 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0

186

SAS Output  

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

4. Nitrogen Oxides Control Technology Emissions Reduction Factors 4. Nitrogen Oxides Control Technology Emissions Reduction Factors Nitrogen Oxides Control Technology EIA-Code(s) Reduction Factor Advanced Overfire Air AA 30% Alternate Burners BF 20% Flue Gas Recirculation FR 40% Fluidized Bed Combustor CF 20% Fuel Reburning FU 30% Low Excess Air LA 20% Low NOx Burners LN 30% Other (or Unspecified) OT 20% Overfire Air OV 20% Selective Catalytic Reduction SR 70% Selective Catalytic Reduction With Low Nitrogen Oxide Burners SR and LN 90% Selective Noncatalytic Reduction SN 30% Selective Noncatalytic Reduction With Low NOx Burners SN and LN 50% Slagging SC 20% Notes: Starting with 1995 data, reduction factors for Advanced Overfire Air, Low NOx Burners, and Overfire Air were reduced by 10 percent.

187

SAS Output  

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

2. Retail Sales and Direct Use of Electricity to Ultimate Customers 2. Retail Sales and Direct Use of Electricity to Ultimate Customers by Sector, by Provider, 2002 through 2012 (Megawatthours) Year Residential Commercial Industrial Transportation Other Total Direct Use Total End Use Total Electric Industry 2002 1,265,179,869 1,104,496,607 990,237,631 N/A 105,551,904 3,465,466,011 166,184,296 3,631,650,307 2003 1,275,823,910 1,198,727,601 1,012,373,247 6,809,728 N/A 3,493,734,486 168,294,526 3,662,029,012 2004 1,291,981,578 1,230,424,731 1,017,849,532 7,223,642 N/A 3,547,479,483 168,470,002 3,715,949,485 2005 1,359,227,107 1,275,079,020 1,019,156,065 7,506,321 N/A 3,660,968,513 150,015,531 3,810,984,044 2006 1,351,520,036 1,299,743,695 1,011,297,566 7,357,543 N/A 3,669,918,840 146,926,612 3,816,845,452

188

SAS Output  

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

1. Total Electric Power Industry Summary Statistics, 2012 and 2011 1. Total Electric Power Industry Summary Statistics, 2012 and 2011 Net Generation and Consumption of Fuels for January through December Total (All Sectors) Electric Power Sector Commercial Industrial Electric Utilities Independent Power Producers Fuel Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Net Generation (Thousand Megawatthours) Coal 1,514,043 1,733,430 -12.7% 1,146,480 1,301,107 354,076 416,783 883 1,049 12,603 14,490 Petroleum Liquids 13,403 16,086 -16.7% 9,892 11,688 2,757 3,655 191 86 563 657 Petroleum Coke 9,787 14,096 -30.6% 5,664 9,428 1,758 3,431 6 3 2,359 1,234 Natural Gas 1,225,894 1,013,689 20.9% 504,958 414,843 627,833 511,447 6,603 5,487 86,500 81,911

189

SAS Output  

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

9. Revenue from Retail Sales of Electricity to Ultimate Customers by End-Use Sector, 9. Revenue from Retail Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2012 and 2011 (Million Dollars) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 7,418 7,546 6,137 6,441 3,292 3,504 38 45 16,885 17,536 Connecticut 2,213 2,339 1,901 2,038 452 486 19 19 4,584 4,882 Maine 657 674 467 494 242 268 0 0 1,366 1,436 Massachusetts 3,029 3,003 2,453 2,547 2,127 2,270 17 22 7,627 7,842 New Hampshire 713 736 598 629 231 238 0 0 1,543 1,602 Rhode Island 450 449 432 453 99 103 2 4 982 1,008 Vermont 356 346 285 281 142 139 0 0 784 766

190

SAS Output  

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

8. Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2002 - 2012 (continued) 8. Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2002 - 2012 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2002 47,805 1,639 1.03 29.98 4.85 44.4 3,198,108 3,126,308 3.55 3.63 91.6 2.42 2003 59,377 2,086 0.60 17.16 4.88 64.3 3,335,086 3,244,368 5.33 5.48 96.2 3.15 2004 73,745 2,609 0.72 20.30 4.95 81.0 3,491,942 3,403,474 5.86 6.01 93.1 3.43 2005 92,706 3,277 0.90 25.42 5.09 82.9 3,675,165 3,578,722 8.20 8.42 95.8 4.69

191

SAS Output  

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

9. Coal Stocks at Other Industrial Plants by Census Division and State" 9. Coal Stocks at Other Industrial Plants by Census Division and State" "(thousand short tons)" "Census Division","June 30 2013","March 31 2013","June 30 2012","Percent Change" "and State",,,,"(June 30)" ,,,,"2013 versus 2012" "New England","w","w",21,"w" " Maine","w","w","w","w" " Massachusetts","w","w","w","w" "Middle Atlantic",295,251,286,3.2 " New York",137,78,107,27.6 " Pennsylvania",158,172,179,-11.5 "East North Central",734,692,761,-3.5 " Illinois",160,152,187,-14.1

192

SAS Output  

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

4. Stocks of Coal by Coal Rank: Electric Power Sector, 2002 - 2012 4. Stocks of Coal by Coal Rank: Electric Power Sector, 2002 - 2012 Electric Power Sector Period Bituminous Coal Subbituminous Coal Lignite Coal Total End of Year Stocks 2002 70,704 66,593 4,417 141,714 2003 57,716 59,884 3,967 121,567 2004 49,022 53,618 4,029 106,669 2005 52,923 44,377 3,836 101,137 2006 67,760 68,408 4,797 140,964 2007 63,964 82,692 4,565 151,221 2008 65,818 91,214 4,556 161,589 2009 91,922 92,448 5,097 189,467 2010 81,108 86,915 6,894 174,917 2011 82,056 85,151 5,179 172,387 2012 86,437 93,833 4,846 185,116 2010, End of Month Stocks January 86,354 86,893 4,845 178,091 February 82,469 83,721 4,836 171,026 March 86,698 86,014 5,030 177,742 April 92,621 89,545 7,095 189,260 May 93,069 91,514 7,085 191,669

193

SAS Output  

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

F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 912,218 553,390 243,561 7,229 108,031 2003 1,174,795 658,868 387,341 8,534 120,051 2004 1,156,763 651,712 358,685 11,763 134,603 2005 1,160,733 618,811 395,489 9,614 136,820 2006 546,529 335,130 112,052 5,444 93,903 2007 595,191 355,999 147,579 4,259 87,354 2008 377,848 242,379 87,460 3,743 44,266 2009 315,420 196,346 66,834 2,903 49,336 2010 273,357 188,987 55,444 2,267 26,660 2011 186,753 125,755 39,093 1,840 20,066 2012 153,189 105,179 29,952 2,364 15,695

194

SAS Output  

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

Average Price of U.S. Metallurgical Coal Exports" Average Price of U.S. Metallurgical Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Destination",2013,2013,2012,,,"Change" "North America Total",92.5,99.4,146.56,94.82,140.7,-32.6 " Canada*",99.83,125.2,142.46,106.43,138.19,-23 " Dominican Republic",114.6,77.21,"-",77.27,"-","-" " Mexico",78.93,78.54,180.76,78.77,153.65,-48.7 "South America Total",119.26,117.51,167.05,118.3,168.12,-29.6 " Argentina",146.7,131.08,182.47,137.36,196.37,-30.1 " Brazil",119.21,117.38,165.61,118.2,171.84,-31.2

195

SAS Output  

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

B. Natural Gas: Consumption for Useful Thermal Output, B. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 860,024 0 263,619 41,435 554,970 2003 721,267 0 225,967 19,973 475,327 2004 1,052,100 0 388,424 39,233 624,443 2005 984,340 0 384,365 34,172 565,803 2006 942,817 0 330,878 33,112 578,828 2007 872,579 0 339,796 35,987 496,796 2008 793,537 0 326,048 32,813 434,676 2009 816,787 0 305,542 41,275 469,970 2010 821,775 0 301,769 46,324 473,683 2011 839,681 0 308,669 39,856 491,155 2012 886,103 0 322,607 47,883 515,613 2010 January 72,867 0 26,791 4,086 41,990

196

SAS Output  

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

Coal Production by State, Mine Type, and Union Status, 2012" Coal Production by State, Mine Type, and Union Status, 2012" "(thousand short tons)" ,"Union",,"Nonunion",,"Total" "Coal-Producing","Underground","Surface","Underground","Surface","Underground","Surface" "State and Region1" "Alabama",12410,"-",139,6669,12549,6669 "Alaska","-",2052,"-","-","-",2052 "Arizona","-",7493,"-","-","-",7493 "Arkansas","-","-",96,"-",96,"-" "Colorado",1673,2655,21955,2265,23628,4920 "Illinois",2897,"-",39939,5649,42837,5649

197

SAS Output  

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

E. Coal: Consumption for Useful Thermal Output, E. Coal: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 421,084 0 50,041 23,099 347,944 2003 416,700 0 47,817 28,479 340,405 2004 564,497 0 87,981 34,538 441,978 2005 548,666 0 88,364 34,616 425,685 2006 532,561 0 84,335 34,086 414,140 2007 521,717 0 83,838 34,690 403,189 2008 503,096 0 81,416 36,163 385,517 2009 462,674 0 90,867 32,651 339,156 2010 490,931 0 90,184 30,725 370,022 2011 479,822 0 84,855 28,056 366,911 2012 420,923 0 58,275 23,673 338,975 2010 January 44,514 0 8,627 3,445 32,442 February 40,887 0 8,041 3,024 29,823

198

SAS Output  

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

B. Net Generation from Renewable Sources: Total (All Sectors), 2002 - 2012 B. Net Generation from Renewable Sources: Total (All Sectors), 2002 - 2012 (Thousand Megawatthours) Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Sources Annual Totals 2002 10,354 N/A N/A 38,665 N/A N/A N/A 14,491 264,329 N/A 2003 11,187 2 532 37,529 5,077 8,306 2,428 14,424 275,806 355,293 2004 14,144 6 569 38,117 5,128 8,151 2,141 14,811 268,417 351,485 2005 17,811 16 535 38,856 5,142 8,330 1,948 14,692 270,321 357,651 2006 26,589 15 493 38,762 5,677 8,478 1,944 14,568 289,246 385,772 2007 34,450 16 596 39,014 6,158 8,304 2,063 14,637 247,510 352,747

199

SAS Output  

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

Average Price of U.S. Coke Imports" Average Price of U.S. Coke Imports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Origin",2013,2013,2012,,,"Change" "North America Total",263.21,252.66,353.05,261.29,356.01,-26.6 " Canada",263.51,252.66,353.05,258.82,356.01,-27.3 " Panama",263.09,"-","-",263.09,"-","-" "South America Total",196.86,194.14,175.88,195.94,181.01,8.2 " Brazil","-","-",157.6,"-",157.6,"-" " Colombia",196.86,194.14,322.06,195.94,246.68,-20.6

200

SAS Output  

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

1. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Producer Type, 2012 1. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Producer Type, 2012 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Natural Gas as the Primary Fuel Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Petroleum Liquids Fuel Switchable Net Summer Capacity Reported to Have No Factors that Limit the Ability to Switch to Petroleum Liquids Electric Utilities 206,774 78,346 37.9 74,835 23,624 Independent Power Producers, Non-Combined Heat and Power Plants 170,654 42,509 24.9 40,788 12,216

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201

SAS Output  

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

F. Wood / Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, F. Wood / Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 1,287,114 10,659 139,532 1,196 1,135,727 2003 1,265,669 16,545 150,745 1,199 1,097,180 2004 1,360,258 19,973 145,216 1,661 1,193,408 2005 1,352,582 27,373 157,600 1,235 1,166,373 2006 1,399,235 27,455 154,360 1,314 1,216,106 2007 1,335,511 31,568 154,388 2,040 1,147,516 2008 1,262,675 29,150 148,198 1,410 1,083,917 2009 1,136,729 29,565 150,481 1,408 955,276 2010 1,225,571 40,167 155,429 1,338 1,028,637 2011 1,240,937 35,474 146,684 1,504 1,057,275

202

SAS Output  

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

4. Existing Capacity by Producer Type, 2012 (Megawatts) 4. Existing Capacity by Producer Type, 2012 (Megawatts) Producer Type Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Electric Power Sector Electric Utilities 9,624 680,592 621,785 644,358 Independent Power Producers, Non-Combined Heat and Power Plants 6,148 412,045 374,964 389,349 Independent Power Producers, Combined Heat and Power Plants 609 39,916 35,266 38,023 Total 16,381 1,132,554 1,032,015 1,071,729 Commercial and Industrial Sectors Commercial Sector 962 3,610 3,223 3,349 Industrial Sector 1,680 31,832 27,795 29,381 Total 2,642 35,442 31,018 32,730 All Sectors Total 19,023 1,167,995 1,063,033 1,104,459 Notes: In 2011, EIA corrected the NAICS codes of several plants which resulted in a net capacity shift from the electric utility sector to the commercial sector.

203

SAS Output  

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

B. U.S. Transformer Sustained Automatic Outage Counts B. U.S. Transformer Sustained Automatic Outage Counts and Hours by High-Voltage Size and NERC Region, 2012 Sustained Automatic Outage Counts High-Side Voltage (kV) Eastern Interconnection TRE WECC Contiguous U.S. 100-199 -- -- -- -- 200-299 -- -- 1.00 1.00 300-399 2.00 -- 4.00 6.00 400-599 14.00 -- 11.00 25.00 600+ -- -- -- -- Grand Total 16.00 -- 16.00 32.00 Sustained Automatic Outage Hours High-Side Voltage (kV) Eastern Interconnection TRE WECC Contiguous U.S. 100-199 -- -- -- -- 200-299 -- -- 27.58 27.58 300-399 153.25 -- 15.87 169.12 400-599 3,070.88 -- 258.37 3,329.25 600+ -- -- -- -- Grand Total 3,224.13 -- 301.82 3,525.95 Outage Hours per Outage Incident Eastern Interconnection TRE WECC Contiguous U.S.

204

SAS Output  

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

6. Coal Consumption at Commercial and Institutional Users by Census Division and State" 6. Coal Consumption at Commercial and Institutional Users by Census Division and State" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "Middle Atlantic",20,52,24,73,83,-12.4 " Pennsylvania",20,52,24,73,83,-12.4 "East North Central",112,197,127,309,331,-6.8 " Illinois",34,45,29,79,66,18.9 " Indiana","w","w","w","w","w","w" " Michigan","w","w","w","w","w","w"

205

SAS Output  

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

Number of Employees at Underground and Surface Mines by State and Mine Production Range, 2012" Number of Employees at Underground and Surface Mines by State and Mine Production Range, 2012" ,"Mine Production Range (thousand short tons)" "Coal-Producing State, Region1","Above 1,000","Above 500","Above 200","Above 100","Above 50","Above 10","Above 0","Zero2","Total Number" "and Mine Type",,"to 1,000","to 500","to 200","to 100","to 50","to 10",,"of Employees" "Alabama",3415,97,655,317,160,224,54,105,5041 " Underground",2981,"-","-","-",36,88,"-",81,3190 " Surface",434,97,655,317,124,136,54,24,1851

206

SAS Output  

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

8. Average Sales Price of Coal by State and Mine Type, 2012 and 2011" 8. Average Sales Price of Coal by State and Mine Type, 2012 and 2011" "(dollars per short ton)" ,2012,,,2011,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",107.73,104.51,106.57,100.17,108.71,102.69,7.6,-3.9,3.8 "Alaska","-","w","w","-","w","w","-","w","w" "Arizona","-","w","w","-","w","w","-","w","w" "Arkansas","w","-","w","w","-","w","w","-","w"

207

SAS Output  

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

Underground Coal Production by State and Mining Method, 2012" Underground Coal Production by State and Mining Method, 2012" "(thousand short tons)" "Coal-Producing State and Region1","Continuous2","Conventional and","Longwall4","Total" ,,"Other3" "Alabama",139,20,12410,12570 "Arkansas",96,"-","-",96 "Colorado",757,"-",22889,23646 "Illinois",18969,"-",23868,42837 "Indiana",15565,"-","-",15565 "Kentucky Total",56179,2018,"-",58198 " Kentucky (East)",22090,2010,"-",24100 " Kentucky (West)",34089,9,"-",34098 "Maryland",797,"-","-",797 "Montana","-","-",5708,5708

208

SAS Output  

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

Coal Mining Productivity by State, Mine Type, and Union Status, 2012" Coal Mining Productivity by State, Mine Type, and Union Status, 2012" "(short tons produced per employee hour)" ,"Union",,"Nonunion" "Coal-Producing State and Region1","Underground","Surface","Underground","Surface" "Alabama",1.69,"-",0.66,1.8 "Alaska","-",5.98,"-","-" "Arizona","-",7.38,"-","-" "Arkansas","-","-",0.59,"-" "Colorado",4.9,6.09,6.02,4.45 "Illinois",2.09,"-",5.34,4.7 "Indiana","-","-",3.23,5.41 "Kentucky Total",3.02,2.45,2.36,3.06 " Kentucky (East)","-",2.45,1.64,2.65

209

SAS Output  

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

Average Sales Price of U.S. Coal by State and Disposition, 2012" Average Sales Price of U.S. Coal by State and Disposition, 2012" "(dollars per short ton)" "Coal-Producing State","Open Market1","Captive2","Total3" "Alabama",85.06,"-",106.57 "Alaska","w","-","w" "Arizona","w","-","w" "Arkansas","w","-","w" "Colorado",38.51,43.19,37.54 "Illinois",49.04,54.71,53.08 "Indiana",49.16,54.5,52.01 "Kentucky Total",61.85,73.08,63.12 " Kentucky (East)",75.8,73.08,75.62 " Kentucky (West)",48.6,"-",48.67 "Louisiana","w","-","w"

210

SAS Output  

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

5. Emissions from Energy Consumption at 5. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants, by State, 2011 and 2012 (Thousand Metric Tons) Census Division and State Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 34,766 37,698 33 58 39 37 Connecticut 8,987 8,196 7 1 12 6 Maine 3,722 4,351 8 12 7 8 Massachusetts 14,346 16,404 15 22 14 14 New Hampshire 4,295 5,127 2 23 4 5 Rhode Island 3,403 3,595 0.03 0.07 2 3 Vermont 12 24 0.05 0.09 1 1 Middle Atlantic 161,786 171,603 275 370 187 203 New Jersey 16,120 16,917 4 5 14 13 New York 35,669 37,256 31 52 40 43 Pennsylvania 109,997 117,430 240 313 133 147

211

SAS Output  

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

Recoverable Coal Reserves and Average Recovery Percentage at Producing Mines by State, 2012 and 2011" Recoverable Coal Reserves and Average Recovery Percentage at Producing Mines by State, 2012 and 2011" "(million short tons)" ,2012,,2011 "Coal-Producing","Recoverable Coal","Average Recovery","Recoverable Coal","Average Recovery","Percent Change" "State","Reserves","Percentage","Reserves","Percentage","Recoverable Coal" ,,,,,"Reserves" "Alabama",265,53.63,306,55.39,-13.2 "Alaska","w","w","w","w","w" "Arizona","w","w","w","w","w" "Arkansas","w","w","w","w","w"

212

SAS Output  

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

7. Average Retail Price of Electricity to Ultimate Customers: 7. Average Retail Price of Electricity to Ultimate Customers: Total by End-Use Sector, 2003 - December 2012 (Cents per Kilowatthour) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2003 8.72 8.03 5.11 7.54 7.44 2004 8.95 8.17 5.25 7.18 7.61 2005 9.45 8.67 5.73 8.57 8.14 2006 10.40 9.46 6.16 9.54 8.90 2007 10.65 9.65 6.39 9.70 9.13 2008 11.26 10.36 6.83 10.74 9.74 2009 11.51 10.17 6.81 10.65 9.82 2010 11.54 10.19 6.77 10.57 9.83 2011 11.72 10.23 6.82 10.46 9.90 2012 11.88 10.09 6.67 10.21 9.84 2010 January 10.49 9.55 6.50 10.17 9.28 February 10.89 9.89 6.55 10.48 9.47 March 11.11 9.95 6.53 10.28 9.48 April 11.71 9.95 6.55 10.52 9.53 May 11.91 10.15 6.64 10.52 9.72

213

SAS Output  

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

1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2002 - 2012 1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2002 - 2012 Electric Power Sector Electric Utilities Independent Power Producers Period Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) End of Year Stocks 2002 141,714 43,935 1,711 116,952 29,601 328 24,761 14,334 1,383 2003 121,567 45,752 1,484 97,831 28,062 378 23,736 17,691 1,105 2004 106,669 46,750 937 84,917 29,144 627 21,751 17,607 309 2005 101,137 47,414 530 77,457 29,532 374 23,680 17,882 156 2006 140,964 48,216 674 110,277 29,799 456 30,688 18,416 217

214

SAS Output  

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

A. U.S. Transmission Circuit Sustained Automatic Outage Counts and Hours A. U.S. Transmission Circuit Sustained Automatic Outage Counts and Hours by High-Voltage Size and NERC Region, 2012 Sustained Automatic Outage Counts Voltage Region Type Operating (kV) FRCC MRO NPCC RFC SERC SPP TRE WECC Contiguous U.S. AC 200-299 142 49 14 141 242 49 -- 484 1,121 AC 300-399 -- 88 107 95 46 56 80 165 637 AC 400-599 9 3 -- 22 86 -- -- 125 245 AC 600+ -- -- 6 9 -- -- -- -- 15 AC Total 151 140 127 267 374 105 80 774 2,018 DC 100-199 -- -- -- -- -- -- -- -- -- DC 200-299 -- 18 -- -- -- -- -- 5 23 DC 300-399 -- -- -- -- -- -- -- -- -- DC 400-499 -- 5 -- -- -- -- -- -- 5 DC 500-599 -- -- -- 5 -- -- -- 17 22 DC 600+ -- -- -- -- -- -- -- -- --

215

SAS Output  

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

Sales Price of Coal by State and Underground Mining Method, 2012" Sales Price of Coal by State and Underground Mining Method, 2012" "(dollars per short ton)" "Coal-Producing State","Continuous1","Conventional and","Longwall3","Total" ,,"Other2" "Alabama","w","-","w",107.73 "Arkansas","w","-","-","w" "Colorado","w","-",37.18,"w" "Illinois",48.08,"-",59.51,54.18 "Indiana",52.94,"-","-",52.94 "Kentucky Total","w","w","-",62.24 " Kentucky (East)","w","w","-",79.23 " Kentucky (West)",50.18,"-","-",50.18

216

SAS Output  

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

Steam Coal Exports by Customs District" Steam Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "Eastern Total",4951041,5566950,6554494,10517991,11407664,-7.8 " Baltimore, MD",1275530,831976,1715016,2107506,2852092,-26.1 " Boston, MA",7,"-",12,7,24,-70.8 " Buffalo, NY",1180,1516,2826,2696,5257,-48.7 " New York City, NY",3088,2664,2168,5752,6106,-5.8 " Norfolk, VA",3578715,4697769,4760354,8276484,8443756,-2 " Ogdensburg, NY",36894,3610,3090,40504,6838,492.3 " Philadelphia, PA",55513,29255,34241,84768,56733,49.4

217

SAS Output  

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

and Number of Mines by State, County, and Mine Type, 2012" and Number of Mines by State, County, and Mine Type, 2012" "(thousand short tons)" ,"Underground",,"Surface",,"Total" "Coal-Producing","Number of Mines","Production","Number of Mines","Production","Number of Mines","Production" "State and County" "Alabama",8,12570,38,6752,46,19321 " Bibb","-","-",2,119,2,119 " Blount","-","-",2,236,2,236 " Fayette",1,2249,"-","-",1,2249 " Franklin","-","-",2,137,2,137 " Jackson","-","-",3,152,3,152 " Jefferson",3,3589,9,1106,12,4695

218

SAS Output  

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

2. Average Tested Heat Rates by Prime Mover and Energy Source, 2007 - 2012 2. Average Tested Heat Rates by Prime Mover and Energy Source, 2007 - 2012 (Btu per Kilowatthour) Prime Mover Coal Petroluem Natural Gas Nuclear 2007 Steam Generator 10,158 10,398 10,440 10,489 Gas Turbine -- 13,217 11,632 -- Internal Combustion -- 10,447 10,175 -- Combined Cycle W 10,970 7,577 -- 2008 Steam Generator 10,138 10,356 10,377 10,452 Gas Turbine -- 13,311 11,576 -- Internal Combustion -- 10,427 9,975 -- Combined Cycle W 10,985 7,642 -- 2009 Steam Generator 10,150 10,349 10,427 10,459 Gas Turbine -- 13,326 11,560 -- Internal Combustion -- 10,428 9,958 -- Combined Cycle W 10,715 7,605 -- 2010 Steam Generator 10,142 10,249 10,416 10,452 Gas Turbine -- 13,386 11,590 -- Internal Combustion -- 10,429 9,917 --

219

SAS Output  

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

0. Receipts, Average Cost, and Quality of Fossil Fuels: Commerical Sector, 2002 - 2012 (continued) 0. Receipts, Average Cost, and Quality of Fossil Fuels: Commerical Sector, 2002 - 2012 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2002 0 0 -- -- -- -- 18,671 18,256 3.44 3.52 24.7 3.03 2003 0 0 -- -- -- 0.0 18,169 17,827 4.96 5.06 30.5 4.02 2004 0 0 -- -- -- 0.0 16,176 15,804 5.93 6.07 21.9 4.58 2005 0 0 -- -- -- 0.0 17,600 17,142 8.38 8.60 25.2 6.25 2006 0 0 -- -- -- 0.0 21,369 20,819 8.33 8.55 30.7 6.42

220

SAS Output  

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

3.A. Net Generation by Energy Source: Independent Power Producers, 2002 - 2012 3.A. Net Generation by Energy Source: Independent Power Producers, 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 395,943 22,241 8,368 378,044 1,763 272,684 18,189 44,466 -1,309 8,612 1,149,001 2003 452,433 35,818 7,949 380,337 2,404 304,904 21,890 46,060 -1,003 8,088 1,258,879 2004 443,547 33,574 7,410 427,510 3,194 312,846 19,518 48,636 -962 7,856 1,303,129 2005 507,199 37,096 9,664 445,625 3,767 345,690 21,486 51,708 -1,174 6,285 1,427,346 2006 498,316 10,396 8,409 452,329 4,223 361,877 24,390 59,345 -1,277 6,412 1,424,421

Note: This page contains sample records for the topic "analysis system sas" 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

SAS Output  

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

B. Landfill Gas: Consumption for Useful Thermal Output, B. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 993 0 116 0 876 2004 2,174 0 735 10 1,429 2005 1,923 0 965 435 522 2006 2,051 0 525 1,094 433 2007 1,988 0 386 1,102 501 2008 1,025 0 454 433 138 2009 793 0 545 176 72 2010 1,623 0 1,195 370 58 2011 3,195 0 2,753 351 91 2012 3,189 0 2,788 340 61 2010 January 118 0 83 30 5 February 110 0 79 27 5 March 132 0 94 32 6 April 131 0 93 33 6 May 132 0 92 34 6 June 139 0 104 30 5 July 140 0 102 33 5 August 132 0 95 32 5 September 148 0 113 30 5

222

SAS Output  

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

9. Consumption of Coal for Electricity Generation by State by Sector, 9. Consumption of Coal for Electricity Generation by State by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 1,787 2,998 -40% 520 898 1,257 2,087 0 0 10 12 Connecticut 297 317 -6.5% 0 0 297 317 0 0 0 0 Maine 11 14 -18% 0 0 6 7 0 0 5 6 Massachusetts 959 1,769 -46% 0 0 954 1,763 0 0 5 6 New Hampshire 520 898 -42% 520 898 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 44,000 53,658 -18% 6 16 43,734 53,052 4 1 256 589

223

SAS Output  

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

B. Petroleum Coke: Consumption for Useful Thermal Output, B. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 517 0 111 6 399 2003 763 0 80 9 675 2004 1,043 0 237 8 798 2005 783 0 206 8 568 2006 1,259 0 195 9 1,055 2007 1,262 0 162 11 1,090 2008 897 0 119 9 769 2009 1,007 0 126 8 873 2010 1,059 0 98 11 950 2011 1,080 0 112 6 962 2012 1,346 0 113 11 1,222 2010 January 92 0 10 1 81 February 93 0 10 1 82 March 84 0 12 1 71 April 76 0 9 1 66 May 84 0 10 0 75 June 93 0 8 0 86 July 89 0 8 0 80 August 87 0 2 1 84 September 82 0 2 1 79

224

SAS Output  

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

4. Average Retail Price of Electricity to Ultimate Customers 4. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector 2002 through 2012 (Cents per kilowatthour) Year Residential Commercial Industrial Transportation Other Total Total Electric Industry 2002 8.44 7.89 4.88 N/A 6.75 7.20 2003 8.72 8.03 5.11 7.54 N/A 7.44 2004 8.95 8.17 5.25 7.18 N/A 7.61 2005 9.45 8.67 5.73 8.57 N/A 8.14 2006 10.40 9.46 6.16 9.54 N/A 8.90 2007 10.65 9.65 6.39 9.70 N/A 9.13 2008 11.26 10.36 6.83 10.74 N/A 9.74 2009 11.51 10.17 6.81 10.65 N/A 9.82 2010 11.54 10.19 6.77 10.57 N/A 9.83 2011 11.72 10.23 6.82 10.46 N/A 9.90 2012 11.88 10.09 6.67 10.21 N/A 9.84 Full-Service Providers 2002 8.40 7.77 4.78 N/A 6.65 7.13 2003 8.68 7.89 5.01 6.82 N/A 7.38

225

SAS Output  

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

Average Price of U.S. Steam Coal Exports" Average Price of U.S. Steam Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Destination",2013,2013,2012,,,"Change" "North America Total",65.1,63.67,73.81,64.48,78.9,-18.3 " Canada*",59.34,55.22,63.02,57.57,73.63,-21.8 " Dominican Republic",78.47,74.41,73.89,75.4,76.61,-1.6 " Honduras","-",54.58,54.43,54.58,54.43,0.3 " Jamaica",480,54.43,"-",54.72,55.42,-1.3 " Mexico",69.42,73.33,82.64,70.83,86.44,-18.1 " Other**",80.33,389.3,70.37,82.45,76.1,8.3

226

SAS Output  

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

Coal Production by Coalbed Thickness and Mine Type, 2012" Coal Production by Coalbed Thickness and Mine Type, 2012" "(thousand short tons)" "Coal Thickness (inches)","Underground","Surface","Total" "Under 7","-",17,17 "7 - Under 13","-",2108,2108 "13 - Under 19",429,6688,7117 "19 - Under 25",111,14107,14217 "25 - Under 31",4147,12913,17060 "31 - Under 37",15128,19022,34150 "37 - Under 43",23868,17285,41153 "43 - Under 49",26035,15597,41632 "49 - Under 55",18909,22544,41453 "55 - Under 61",36946,11285,48231 "61 - Under 67",43146,15074,58220 "67 - Under 73",40983,8783,49766 "73 - Under 79",32914,10193,43107 "79 - Under 85",27011,3554,30565

227

SAS Output  

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

Coal Imports by Customs District" Coal Imports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "Eastern Total",469878,331008,156004,800886,350124,128.7 " Baltimore, MD","-","-",106118,"-",154318,"-" " Boston, MA",373985,154438,"-",528423,51185,"NM" " Buffalo, NY",44,"-","-",44,"-","-" " New York City, NY",1373,1402,487,2775,507,447.3 " Norfolk, VA","-",68891,"-",68891,35856,92.1 " Ogdensburg, NY","-",1,12,1,12,-91.7

228

SAS Output  

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

U.S. Coke Exports" U.S. Coke Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Destination",2013,2013,2012,,,"Change" "North America Total",162796,79217,201795,242013,340944,-29 " Canada*",73859,17837,112348,91696,161596,-43.3 " Mexico",88535,60517,86721,149052,176163,-15.4 " Other**",402,863,2726,1265,3185,-60.3 "South America Total",223,217,591,440,1158,-62 " Other**",223,217,591,440,1158,-62 "Europe Total",48972,59197,"-",108169,6,"NM" " Other**",347,11743,"-",12090,"-","-"

229

SAS Output  

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

7. U.S. Coal Stocks, 2007 - 2013" 7. U.S. Coal Stocks, 2007 - 2013" "(thousand short tons)" ,"Coal Consumers" "Last Day of Quarter","Electric","Coke","Other","Commercial","Total","Coal Producers","Total" ,"Power","Plants","Industrial2","and",,"and" ,"Sector1",,,"Institutional Users",,"Distributors" 2007 " March 31",141389,2444,5756,"-",149588,34007,183595 " June 30",154812,2364,5672,"-",162849,32484,195333 " September 30",142666,1972,5811,"-",150448,30090,180538 " December 31",151221,1936,5624,"-",158781,33977,192758

230

SAS Output  

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

5. Unit of Measure Equivalents 5. Unit of Measure Equivalents Unit Equivalent Kilowatt (kW) 1,000 (One Thousand) Watts Megawatt (MW) 1,000,000 (One Million) Watts Gigawatt (GW) 1,000,000,000 (One Billion) Watts Terawatt (TW) 1,000,000,000,000 (One Trillion) Watts Gigawatt 1,000,000 (One Million) Kilowatts Thousand Gigawatts 1,000,000,000 (One Billion) Kilowatts Kilowatthours (kWh) 1,000 (One Thousand) Watthours Megawatthours (MWh) 1,000,000 (One Million) Watthours Gigawatthours (GWh) 1,000,000,000 (One Billion) Watthours Terawatthours (TWh) 1,000,000,000,000 (One Trillion) Watthours Gigawatthours 1,000,000 (One Million) Kilowatthours Thousand Gigawatthours 1,000,000,000(One Billion Kilowatthours U.S. Dollar 1,000 (One Thousand) Mills U.S. Cent 10 (Ten) Mills Barrel of Oil 42 Gallons

231

SAS Output  

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

6. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2002 - 2012 (continued) 6. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2002 - 2012 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2002 75,711 2,677 0.63 17.68 4.98 126.0 1,680,518 1,634,734 3.68 3.78 72.3 1.53 2003 89,618 3,165 0.74 20.94 5.51 124.0 1,486,088 1,439,513 5.59 5.77 81.6 1.74 2004 107,985 3,817 0.89 25.15 5.10 92.0 1,542,746 1,499,933 6.15 6.33 82.9 1.87 2005 102,450 3,632 1.29 36.31 5.16 87.9 1,835,221 1,780,721 8.32 8.57 83.4 2.38

232

SAS Output  

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

2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: 2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by State, 2012 and 2011 Census Division and State Coal (Thousand Tons) Petroleum Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) December 2012 December 2011 Percentage Change December 2012 December 2011 Percentage Change December 2012 December 2011 Percentage Change New England 1,030 1,389 -26% 2,483 2,680 -7.3% 0 0 -- Connecticut W W W 1,300 954 36% 0 0 -- Maine 0 0 -- W W W 0 0 -- Massachusetts W 675 W 837 990 -15% 0 0 -- New Hampshire W W W W W W 0 0 -- Rhode Island 0 0 -- W W W 0 0 -- Vermont 0 0 -- 51 49 3.0% 0 0 -- Middle Atlantic 7,553 7,800 -3.2% 5,496 6,591 -17% W W W New Jersey 926 871 6.3% 1,084 1,113 -2.6% 0 0 --

233

SAS Output  

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

0. Coal Receipts at Commercial and Institutional Users by Census Division and State" 0. Coal Receipts at Commercial and Institutional Users by Census Division and State" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "Middle Atlantic",25,54,32,79,90,-12 " Pennsylvania",25,54,32,79,90,-12 "East North Central",115,183,117,298,301,-0.9 " Illinois",31,42,28,73,67,8.1 " Indiana","w","w","w","w","w","w" " Michigan","w","w","w","w","w","w"

234

SAS Output  

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

Coal Receipts at Other Industrial Plants by Census Division and State" Coal Receipts at Other Industrial Plants by Census Division and State" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "New England","w","w","w","w","w","w" " Maine","w","w","w","w","w","w" " Massachusetts","w","w","w","w","w","w" "Middle Atlantic",627,587,637,1214,1254,-3.1 " New York",214,178,194,392,377,4

235

SAS Output  

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

Major U.S. Coal Mines, 2012" Major U.S. Coal Mines, 2012" "Rank","Mine Name / Company","Mine Type","State","Production (short tons)" 1,"North Antelope Rochelle Mine / Peabody Powder River Mining Ll","Surface","Wyoming",107639188 2,"Black Thunder / Thunder Basin Coal Company Llc","Surface","Wyoming",93082919 3,"Cordero Mine / Cordero Mining Llc","Surface","Wyoming",39204736 4,"Antelope Coal Mine / Antelope Coal Llc","Surface","Wyoming",34316314 5,"Belle Ayr Mine / Alpha Coal West, Inc.","Surface","Wyoming",24227846 6,"Eagle Butte Mine / Alpha Coal West, Inc.","Surface","Wyoming",22466733

236

SAS Output  

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

D. Petroleum Liquids: Consumption for Electricity Generation, D. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 835,481 553,390 241,892 3,953 36,243 2003 1,089,307 658,868 380,378 5,358 44,702 2004 1,031,954 651,712 350,093 4,544 25,606 2005 1,035,045 618,811 387,355 3,469 25,410 2006 459,392 335,130 105,312 1,963 16,987 2007 512,423 355,999 139,977 1,505 14,942 2008 332,367 242,379 79,816 957 9,215 2009 266,508 196,346 59,277 1,101 9,784 2010 244,114 188,987 49,042 970 5,115 2011 163,954 125,755 33,166 801 4,233 2012 134,956 105,179 24,081 1,618 4,078 2010 January 33,737 26,715 6,282 100 639

237

SAS Output  

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

F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 193,120 57,296 105,416 227 30,182 2003 197,827 69,695 92,384 309 35,440 2004 245,389 116,086 90,747 259 38,297 2005 256,441 115,727 111,098 260 29,356 2006 246,687 102,117 98,314 269 45,987 2007 208,198 77,941 81,845 348 48,064 2008 180,034 64,843 79,856 280 35,055 2009 166,449 77,919 52,428 245 35,856 2010 173,078 94,331 41,090 340 37,317 2011 176,349 99,257 40,167 173 36,752 2012 144,266 60,862 24,925 353 58,126 2010 January 14,949 7,995 3,716 38 3,199

238

SAS Output  

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

C. Coal: Consumption for Electricity Generation and Useful Thermal Output, C. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 1,005,144 767,803 209,703 1,405 26,232 2003 1,031,778 757,384 247,732 1,816 24,846 2004 1,044,798 772,224 244,044 1,917 26,613 2005 1,065,281 761,349 276,135 1,922 25,875 2006 1,053,783 753,390 273,246 1,886 25,262 2007 1,069,606 764,765 280,377 1,927 22,537 2008 1,064,503 760,326 280,254 2,021 21,902 2009 955,190 695,615 238,012 1,798 19,766 2010 1,001,411 721,431 253,621 1,720 24,638 2011 956,470 689,316 243,168 1,668 22,319 2012 845,066 615,467 208,085 1,450 20,065

239

SAS Output  

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

9. Total Capacity of Distributed and Dispersed Generators by Technology Type, 9. Total Capacity of Distributed and Dispersed Generators by Technology Type, 2005 through 2012 Capacity (MW) Year Internal Combustion Combustion Turbine Steam Turbine Hydro Wind Photovoltaic Storage Other Wind and Other Total Number of Generators Distributed Generators 2005 4,025.0 1,917.0 1,830.0 999.0 -- -- -- -- 995.0 9,766.0 17,371 2006 3,646.0 1,298.0 2,582.0 806.0 -- -- -- -- 1,081.0 9,411.0 5,044 2007 4,624.0 1,990.0 3,596.0 1,051.0 -- -- -- -- 1,441.0 12,702.0 7,103 2008 5,112.0 1,949.0 3,060.0 1,154.0 -- -- -- -- 1,588.0 12,863.0 9,591 2009 4,339.0 4,147.0 4,621.0 1,166.0 -- -- -- -- 1,729.0 16,002.0 13,006 2010 886.8 186.0 109.9 97.4 98.9 236.3 -- 372.7 -- 1,988.0 15,630

240

SAS Output  

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

D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 605,054 10,659 129,947 469 463,980 2003 519,294 16,545 139,852 437 362,460 2004 344,134 19,973 130,248 168 193,745 2005 355,250 27,373 138,407 207 189,263 2006 350,074 27,455 135,546 269 186,803 2007 353,025 31,568 132,953 284 188,220 2008 338,786 29,150 130,122 287 179,227 2009 320,444 29,565 130,894 274 159,712 2010 349,530 40,167 137,072 274 172,016 2011 347,623 35,474 130,108 482 181,559 2012 390,342 32,723 138,217 478 218,924 2010 January 29,578 3,731 11,954 23 13,870

Note: This page contains sample records for the topic "analysis system sas" 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

SAS Output  

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

U.S. Coal Exports and Imports, 2007 - 2013" U.S. Coal Exports and Imports, 2007 - 2013" "(thousand short tons)" ,"January - March",,"April - June",,"July - September",,"October - December",,"Total" "Year","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports" 2007,11139,8786,14702,8405,16198,10559,17124,8597,59163,36347 2008,15802,7640,23069,8982,20321,8485,22329,9101,81519,34208 2009,13335,6325,12951,5426,15159,5441,17653,5447,59097,22639 2010,17807,4803,21965,5058,21074,4680,20870,4811,81716,19353 2011,26617,3381,26987,3419,25976,3588,27679,2700,107259,13088 2012,28642,2022,37534,2329,31563,2415,28006,2394,125746,9159

242

SAS Output  

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

E. Landfill Gas: Consumption for Useful Thermal Output, E. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 500 0 61 0 439 2004 1,158 0 415 5 738 2005 994 0 519 212 263 2006 1,034 0 267 549 218 2007 985 0 226 532 228 2008 552 0 271 211 70 2009 440 0 313 91 37 2010 847 0 643 174 30 2011 1,635 0 1,422 165 48 2012 1,630 0 1,441 156 32 2010 January 61 0 44 14 3 February 58 0 42 13 3 March 67 0 49 15 3 April 67 0 49 15 3 May 68 0 49 16 3 June 73 0 56 14 3 July 73 0 55 16 2 August 69 0 52 15 3 September 79 0 62 14 3 October 75 0 59 14 2

243

SAS Output  

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

1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 56 121 -54% 0 0 0 94 0 0 56 27

244

SAS Output  

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

B. Coal: Consumption for Useful Thermal Output, B. Coal: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 17,561 0 2,255 929 14,377 2003 17,720 0 2,080 1,234 14,406 2004 24,275 0 3,809 1,540 18,926 2005 23,833 0 3,918 1,544 18,371 2006 23,227 0 3,834 1,539 17,854 2007 22,810 0 3,795 1,566 17,449 2008 22,168 0 3,689 1,652 16,827 2009 20,507 0 3,935 1,481 15,091 2010 21,727 0 3,808 1,406 16,513 2011 21,532 0 3,628 1,321 16,584 2012 19,333 0 2,790 1,143 15,400 2010 January 1,972 0 371 160 1,440 February 1,820 0 347 139 1,334 March 1,839 0 338 123 1,378 April 2,142 0 284 95 1,764

245

SAS Output  

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

F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 161,803 5,766 132,065 21,953 2,020 2004 161,567 3,705 129,562 25,204 3,096 2005 164,635 4,724 131,080 24,914 3,918 2006 168,716 4,078 135,127 25,618 3,893 2007 162,482 4,557 133,509 21,393 3,022 2008 166,723 4,476 136,080 26,108 59 2009 165,755 3,989 132,877 27,868 1,021 2010 162,436 3,322 130,467 27,509 1,138 2011 152,007 3,433 121,648 25,664 1,262 2012 152,045 3,910 117,598 28,923 1,614 2010 January 13,015 244 10,405 2,260 107

246

SAS Output  

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

2.1. Number of Ultimate Customers Served by Sector, by Provider, 2.1. Number of Ultimate Customers Served by Sector, by Provider, 2002 through 2012 Year Residential Commercial Industrial Transportation Other Total Total Electric Industry 2002 116,622,037 15,333,700 601,744 N/A 1,066,554 133,624,035 2003 117,280,481 16,549,519 713,221 1,127 N/A 134,544,348 2004 118,763,768 16,606,783 747,600 1,025 N/A 136,119,176 2005 120,760,839 16,871,940 733,862 518 N/A 138,367,159 2006 122,471,071 17,172,499 759,604 791 N/A 140,403,965 2007 123,949,916 17,377,219 793,767 750 N/A 142,121,652 2008 124,937,469 17,562,726 774,713 727 N/A 143,275,635 2009 125,177,175 17,561,661 757,519 705 N/A 143,497,060 2010 125,717,935 17,674,338 747,746 239 N/A 144,140,258 2011 126,143,072 17,638,062 727,920 92 N/A 144,509,146

247

SAS Output  

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

Average Price of U.S. Coke Exports" Average Price of U.S. Coke Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Destination",2013,2013,2012,,,"Change" "North America Total",240.59,241.38,218.4,240.85,225.8,6.7 " Canada*",147.49,330.47,243.04,183.08,286.56,-36.1 " Mexico",316.57,211.63,189.12,273.97,171.71,59.6 " Other**",612.42,485.63,134.48,525.92,135.04,289.5 "South America Total",140.65,156.15,322.7,148.29,250.36,-40.8 " Other**",140.65,156.15,322.7,148.29,250.36,-40.8 "Europe Total",259.26,255.24,"-",257.06,427.83,-39.9

248

SAS Output  

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

2. Demand-Side Management Program Annual Effects by Program 2. Demand-Side Management Program Annual Effects by Program Category, by Sector, 2002 through 2012 Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2002 15,284 24,803 10,242 -- 50,328 2003 12,914 24,758 10,031 551 48,254 2004 17,185 24,290 11,137 50 52,663 2005 18,894 28,073 11,986 47 59,000 2006 21,150 28,720 13,155 50 63,076 2007 22,772 30,359 14,038 108 67,278 2008 25,396 34,634 14,766 75 74,871 2009 27,395 34,831 14,610 76 76,912 2010 32,150 37,416 17,259 89 86,914 2011 46,790 50,732 23,061 76 120,659 2012 54,516 58,894 25,023 92 138,525 Energy Efficiency - Actual Peak Load Reduction (MW) 2002 5,300 5,389 2,768 -- 13,457 2003 5,909 4,911 2,671 94 13,585

249

SAS Output  

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

A. Net Generation by Energy Source: Total (All Sectors), 2002 - 2012 A. Net Generation by Energy Source: Total (All Sectors), 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 1,933,130 78,701 15,867 691,006 11,463 780,064 264,329 79,109 -8,743 13,527 3,858,452 2003 1,973,737 102,734 16,672 649,908 15,600 763,733 275,806 79,487 -8,535 14,045 3,883,185 2004 1,978,301 100,391 20,754 710,100 15,252 788,528 268,417 83,067 -8,488 14,232 3,970,555 2005 2,012,873 99,840 22,385 760,960 13,464 781,986 270,321 87,329 -6,558 12,821 4,055,423 2006 1,990,511 44,460 19,706 816,441 14,177 787,219 289,246 96,525 -6,558 12,974 4,064,702

250

SAS Output  

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

8. Retail Sales of Electricity to Ultimate Customers by End-Use Sector, 8. Retail Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2012 and 2011 (Million Kilowatthours) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 47,208 47,481 44,864 45,018 27,818 27,927 566 569 120,456 120,995 Connecticut 12,758 12,919 12,976 13,087 3,566 3,668 193 185 29,492 29,859 Maine 4,481 4,382 4,053 4,018 3,027 3,016 0 0 11,561 11,415 Massachusetts 20,313 20,473 17,723 17,767 16,927 16,974 350 357 55,313 55,570 New Hampshire 4,439 4,454 4,478 4,478 1,953 1,936 0 0 10,870 10,869 Rhode Island 3,121 3,129 3,640 3,660 923 916 24 27 7,708 7,732

251

SAS Output  

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

C. Net Summer Capacity of Utility Scale Units Using Primarily Fossil Fuels and by State, 2012 and 2011 (Megawatts) C. Net Summer Capacity of Utility Scale Units Using Primarily Fossil Fuels and by State, 2012 and 2011 (Megawatts) Census Division and State Natural Gas Fired Combined Cycle Natural Gas Fired Combustion Turbine Other Natural Gas Coal Petroleum Coke Petroleum Liquids Other Gases Total Fossil Fuels Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 12,190.5 11,593.8 1,090.0 1,058.9 876.4 830.1 2,546.1 2,755.5 0.0 0.0 7,916.1 7,915.3 0.0 0.0 24,619.1 24,153.6 Connecticut 2,513.4 2,447.7 458.1 432.7 61.0 44.7 389.1 564.4 0.0 0.0 3,186.1 3,185.0 0.0 0.0 6,607.7 6,674.5 Maine 1,250.0 1,250.0 306.0 302.2 119.0 93.0 85.0 85.0 0.0 0.0 1,004.9 1,007.2 0.0 0.0 2,764.9 2,737.4

252

SAS Output  

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

Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine Production Range and Mine Type, 2012" Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine Production Range and Mine Type, 2012" "(million short tons)" ,"Underground",,"Surface",,"Total" "Mine Production Range","Recoverable Coal","Average Recovery","Recoverable Coal","Average Recovery","Recoverable Coal","Average Recovery" "(thousand short tons)","Reserves","Percentage","Reserves","Percentage","Reserves","Percentage" "Over 1,000",4874,57.96,11153,91.28,16028,81.15 "Over 500 to 1,000",531,47.14,226,81.9,757,57.49 "Over 200 to 500",604,52.72,333,69.16,938,58.57

253

SAS Output  

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

4. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: 4. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Commercial Sector by State, 2012 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 0 -- -- 0 -- -- 0 -- -- Connecticut 0 -- -- 0 -- -- 0 -- -- Maine 0 -- -- 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- -- 0 -- -- Middle Atlantic 0 -- -- 0 -- -- 0 -- --

254

SAS Output  

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

8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2012 and 2011 8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England 18.64 W W 21.43 21.12 18.47 W Connecticut W 21.91 W 23.87 NM W 21.93 Maine W W W -- NM W W Massachusetts 17.17 19.76 -13% 17.45 NM 17.16 19.66 New Hampshire 23.23 W W 23.23 19.90 -- W Rhode Island -- W W -- NM -- W Vermont 24.11 NM NM 24.11 NM -- -- Middle Atlantic W 20.15 W 21.01 19.21 W 20.66 New Jersey 19.77 18.36 7.7% -- NM 19.77 20.28 New York W 19.66 W 21.01 20.00 W 19.36 Pennsylvania 21.84 22.19 -1.6% -- NM 21.84 22.19

255

SAS Output  

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

Productive Capacity of Coal Mines by State, 2012 and 2011" Productive Capacity of Coal Mines by State, 2012 and 2011" "(thousand short tons)" ,2012,,,2011,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",14594,7967,22561,16102,8911,25013,-9.4,-10.6,-9.8 "Alaska","-","w","w","-","w","w","-","w","w" "Arizona","-","w","w","-","w","w","-","w","w" "Arkansas","w","-","w","w","-","w","w","-","w"

256

SAS Output  

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

Quantity and Average Price of U.S. Coal Imports by Origin, 2007 - 2013" Quantity and Average Price of U.S. Coal Imports by Origin, 2007 - 2013" "(thousand short tons and dollars per short ton)" "Year and Quarter","Australia","Canada","Colombia","Indonesia","China","Venezuela","Other","Total" ,,,,,,,"Countries" 2007,66,1967,26864,3663,50,3425,311,36347 2008,149,2027,26262,3374,45,2312,39,34208 2009,152,1288,17787,2084,9,1297,21,22639 2010,380,1767,14584,1904,53,582,83,19353 2011,62,1680,9500,856,22,779,188,13088 2012 " January - March","-",260,1594,59,7,80,22,2022 " April - June","-",281,1728,49,21,170,80,2329 " July - September","-",297,1762,266,39,"-",51,2415

257

SAS Output  

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

Average Sales Price of Coal by State, County, and Number of Mines, 2012" Average Sales Price of Coal by State, County, and Number of Mines, 2012" "Coal-Producing State and County","Number of Mines","Sales","Average Sales Price" ,,"(thousand short tons)","(dollars per short ton)" "Alabama",39,19021,106.57 " Bibb",1,"w","w" " Blount",2,"w","w" " Fayette",1,"w","w" " Franklin",1,"w","w" " Jackson",2,"w","w" " Jefferson",11,4298,146.04 " Marion",1,"w","w" " Tuscaloosa",7,8599,111.55 " Walker",11,2370,81.88

258

SAS Output  

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

1. Emissions from Energy Consumption at 1. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants 2002 through 2012 (Thousand Metric Tons) Year Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) 2002 2,423,963 10,881 5,194 2003 2,445,094 10,646 4,532 2004 2,486,982 10,309 4,143 2005 2,543,838 10,340 3,961 2006 2,488,918 9,524 3,799 2007 2,547,032 9,042 3,650 2008 2,484,012 7,830 3,330 2009 2,269,508 5,970 2,395 2010 2,388,596 5,400 2,491 2011 2,287,071 4,845 2,406 2012 2,156,875 3,704 2,148 Notes: The emissions data presented include total emissions from both electricity generation and the production of useful thermal output. See Appendix A, Technical Notes, for a description of the sources and methodology used to develop the emissions estimates.

259

SAS Output  

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

2. Coal Stocks at Commercial and Institutional Users by Census Division and State" 2. Coal Stocks at Commercial and Institutional Users by Census Division and State" "(thousand short tons)" "Census Division","June 30 2013","March 31 2013","June 30 2012","Percent Change" "and State",,,,"(June 30)" ,,,,"2013 versus 2012" "Middle Atlantic",62,58,56,10.9 " Pennsylvania",62,58,56,10.9 "East North Central",168,171,197,-14.7 " Illinois","w","w","w","w" " Indiana",75,76,75,0.5 " Michigan","w","w","w","w" " Ohio",25,15,19,27 " Wisconsin",5,5,3,59.1 "West North Central",66,75,97,-32.2

260

SAS Output  

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

3. Summary Statistics for Coal Refining Plants, 2012 - 2013" 3. Summary Statistics for Coal Refining Plants, 2012 - 2013" "(thousand short tons)" "Year and","Coal Receipts","Average Price of Coal Receipts","Coal Used","Coal Stocks1" "Quarter",,"(dollars per short ton)" 2012 " January - March",2151,27.47,1756,771 " April - June",3844,25.42,3688,825 " July - September",5399,24.32,5286,812 " October - December",4919,24.55,4680,787 " Total",16313,25.06,15410 2013 " January - March",5067,24.6,4989,793 " April - June",4015,25.24,3754,756 " Total",9082,24.88,8744 "1 Reported as of the last day of the quarter." "Note: Average price is based on the cost, insurance, and freight (c.i.f. value). Total may not equal sum of components because of independent rounding."

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261

SAS Output  

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

B. Proposed Transmission Capacity Additions by High-Voltage Size, 2013 - 2019 B. Proposed Transmission Capacity Additions by High-Voltage Size, 2013 - 2019 (Circuit Miles of Transmission) Voltage Circuit Miles Type Operating (kV) Year 2013 Year 2014 Year 2015 Year 2016 Year 2017 Year 2018 Year 2019 All Years AC 100-199 954 1,222 992 1,047 392 382 176 5,165 AC 200-299 1,003 792 1,398 319 539 427 118 4,596 AC 300-399 4,779 839 1,532 1,527 502 1,650 349 11,178 AC 400-599 399 708 669 643 660 1,151 334 4,564 AC 600+ -- -- 14 -- -- 69 -- 83 AC Total 7,134 3,562 4,606 3,536 2,092 3,679 978 25,586 DC 100-199 2 11 5 -- -- 7 -- 25 DC 200-299 -- -- -- -- -- -- -- -- DC 300-399 -- -- -- -- 333 -- -- 333 DC 400-599 -- -- 10 -- -- -- -- 10 DC 600+ -- -- -- -- -- -- -- --

262

SAS Output  

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

3. Revenue and Expense Statistics for Major U.S. Investor-Owned Electric Utilities, 2002 through 2012 (Million Dollars) 3. Revenue and Expense Statistics for Major U.S. Investor-Owned Electric Utilities, 2002 through 2012 (Million Dollars) Description 2002 2003 2004 2005 2006 2007 Utility Operating Revenues 219,609 230,151 238,759 265,652 275,501 270,964 ......Electric Utility 200,360 206,268 213,012 234,909 246,736 240,864 ......Other Utility 19,250 23,883 25,747 30,743 28,765 30,100 Utility Operating Expenses 189,062 201,057 206,960 236,786 245,589 241,198 ......Electric Utility 171,604 179,044 183,121 207,830 218,445 213,076 ............Operation 116,660 125,436 131,560 150,645 158,893 153,885 ..................Production 90,715 98,305 103,871 120,586 127,494 121,700 ........................Cost of Fuel 24,149 26,871 28,544 36,106 37,945 39,548

263

SAS Output  

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

U.S. Coke Imports" U.S. Coke Imports" "(short tons)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Origin",2013,2013,2012,,,"Change" "North America Total",10284,2293,159462,12577,183712,-93.2 " Canada",3009,2293,159462,5302,183712,-97.1 " Panama",7275,"-","-",7275,"-","-" "South America Total",25267,13030,88424,38297,106612,-64.1 " Brazil","-","-",78595,"-",78595,"-" " Colombia",25267,13030,9829,38297,28017,36.7 "Europe Total",6044,40281,165027,46325,485791,-90.5

264

SAS Output  

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

Coal Production and Coalbed Thickness by Major Coalbeds and Mine Type, 2012" Coal Production and Coalbed Thickness by Major Coalbeds and Mine Type, 2012" ,"Production (thousand short tons)",,,"Thickness (inches)" "Coalbed ID Number1","Underground","Surface","Total","Average2","Low","High" "Coalbed Name" "1699 Wyodak","-",351188,351188,778,160,913 "0036 Pittsburgh",52476,3871,56348,74,18,138 "0489 No. 9",42193,12181,54374,61,24,74 "0484 Herrin (Illinois No. 6)",48526,1910,50436,71,46,89 "0212 Pittsburgh",27355,76,27431,75,27,98 "1701 Smith","-",23847,23847,822,745,912 "1696 Anderson-Dietz 1-Dietz 2","-",18992,18992,932,660,960

265

SAS Output  

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

0. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector, 0. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector, by State, 2012 and 2011 (Cents per Kilowatthour) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 15.71 15.89 13.68 14.31 11.83 12.55 6.68 7.85 14.02 14.49 Connecticut 17.34 18.11 14.65 15.57 12.67 13.24 9.69 10.25 15.54 16.35 Maine 14.66 15.38 11.53 12.29 7.98 8.88 -- -- 11.81 12.58 Massachusetts 14.91 14.67 13.84 14.33 12.57 13.38 4.91 6.14 13.79 14.11 New Hampshire 16.07 16.52 13.36 14.04 11.83 12.27 -- -- 14.19 14.74 Rhode Island 14.40 14.33 11.87 12.37 10.68 11.27 8.28 14.11 12.74 13.04

266

SAS Output  

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

3. Revenue from Retail Sales of Electricity to Ultimate Customers 3. Revenue from Retail Sales of Electricity to Ultimate Customers by Sector, by Provider, 2002 through 2012 (Million Dollars) Year Residential Commercial Industrial Transportation Other Total Total Electric Industry 2002 106,834 87,117 48,336 N/A 7,124 249,411 2003 111,249 96,263 51,741 514 N/A 259,767 2004 115,577 100,546 53,477 519 N/A 270,119 2005 128,393 110,522 58,445 643 N/A 298,003 2006 140,582 122,914 62,308 702 N/A 326,506 2007 148,295 128,903 65,712 792 N/A 343,703 2008 155,433 138,469 68,920 827 N/A 363,650 2009 157,008 132,940 62,504 828 N/A 353,280 2010 166,782 135,559 65,750 815 N/A 368,906 2011 166,714 135,926 67,606 803 N/A 371,049 2012 163,280 133,898 65,761 747 N/A 363,687

267

SAS Output  

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

U.S. Metallurgical Coal Exports" U.S. Metallurgical Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Destination",2013,2013,2012,,,"Change" "North America Total",1503162,764701,1411897,2267863,2261900,0.3 " Canada*",975783,343309,1260473,1319092,1895263,-30.4 " Dominican Republic",94,51064,"-",51158,"-","-" " Mexico",527285,370328,151424,897613,366637,144.8 "South America Total",2091488,2561772,2389018,4653260,4543747,2.4 " Argentina",104745,155806,203569,260551,253841,2.6 " Brazil",1921144,2352098,2185449,4273242,4022618,6.2

268

SAS Output  

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

1. Average Price of Coal Receipts at Commercial and Institutional Users by Census Division and State" 1. Average Price of Coal Receipts at Commercial and Institutional Users by Census Division and State" "(dollars per short ton)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "Middle Atlantic",139.64,145,158.61,143.29,158.91,-9.8 " Pennsylvania",139.64,145,158.61,143.29,158.91,-9.8 "East North Central",87.62,97.3,87.11,93.56,95.13,-1.7 " Illinois",59.27,60.3,62.17,59.86,66.69,-10.2 " Indiana","w","w","w","w","w","w" " Michigan","w","w","w","w","w","w"

269

SAS Output  

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

Average Price of Coal Receipts at Other Industrial Plants by Census Division and State" Average Price of Coal Receipts at Other Industrial Plants by Census Division and State" "(dollars per short ton)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "New England","w","w","w","w","w","w" " Maine","w","w","w","w","w","w" " Massachusetts","w","w","w","w","w","w" "Middle Atlantic",87.05,93.03,93.73,89.93,95.68,-6 " New York",102.14,105.8,117.15,103.8,117.61,-11.7

270

SAS Output  

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

8. Coal Stocks at Coke Plants by Census Division" 8. Coal Stocks at Coke Plants by Census Division" "(thousand short tons)" "Census Division","June 30 2013","March 31 2013","June 30 2012","Percent Change" ,,,,"(June 30)" ,,,,"2013 versus 2012" "Middle Atlantic","w","w","w","w" "East North Central",1313,1177,1326,-1 "South Atlantic","w","w","w","w" "East South Central","w","w","w","w" "U.S. Total",2500,2207,2295,8.9 "w = Data withheld to avoid disclosure." "Note: Total may not equal sum of components because of independent rounding."

271

SAS Output  

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

7 Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2002 - 2012 7 Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2002 - 2012 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2002 3,710,847 182,482 1.37 27.96 1.15 87.0 186,271 30,043 4.19 25.98 0.61 76.4 2003 4,365,996 223,984 1.34 26.20 1.15 90.4 347,546 56,138 5.41 33.50 0.58 89.7 2004 4,410,775 227,700 1.41 27.27 1.13 93.3 337,011 54,152 5.35 33.31 0.61 93.6 2005 4,459,333 229,071 1.56 30.39 1.10 83.0 381,871 61,753 8.30 51.34 0.54 97.2

272

SAS Output  

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

Metallurgical Coal Exports by Customs District" Metallurgical Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "Eastern Total",11716074,14136513,15167377,25852587,27578514,-6.3 " Baltimore, MD",2736470,4225450,5123600,6961920,9037970,-23 " Boston, MA","-","-","-","-",28873,"-" " Buffalo, NY",247714,121347,524040,369061,725698,-49.1 " Norfolk, VA",8730257,9784866,9519119,18515123,17784479,4.1 " Ogdensburg, NY",1633,4850,618,6483,1494,333.9 "Southern Total",3551564,3824484,4264938,7376048,8976503,-17.8

273

SAS Output  

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

3 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: 3 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by Census Divison, 2012 and 2011 Electric Power Sector Electric Utilities Independent Power Producers Census Division December 2012 December 2011 Percentage Change December 2012 December 2011 December 2012 December 2011 Coal (Thousand Tons) New England 1,030 1,389 -25.9% W W W W Middle Atlantic 7,553 7,800 -3.2% W W W W East North Central 36,139 37,262 -3.0% 27,069 27,316 9,070 9,946 West North Central 30,554 28,544 7.0% 30,554 28,544 0 0 South Atlantic 38,859 36,920 5.3% 35,527 33,163 3,331 3,757 East South Central 19,657 17,185 14.4% 19,657 17,185 0 0 West South Central 28,807 22,910 25.7% 17,047 15,125 11,760 7,785

274

SAS Output  

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

D. Coal: Consumption for Electricity Generation, D. Coal: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 19,996,890 15,517,857 4,215,043 9,168 254,821 2003 20,366,879 15,391,188 4,745,545 13,080 217,066 2004 20,375,751 15,610,335 4,606,584 8,251 150,581 2005 20,801,716 15,397,688 5,250,824 8,314 144,889 2006 20,527,410 15,211,077 5,166,001 7,526 142,807 2007 20,841,871 15,436,110 5,287,202 7,833 110,727 2008 20,548,610 15,189,050 5,242,194 8,070 109,296 2009 18,240,611 13,744,178 4,390,596 7,007 98,829 2010 19,196,315 14,333,496 4,709,686 6,815 146,318 2011 18,074,298 13,551,416 4,399,144 7,263 116,475

275

SAS Output  

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

A. Net Generation by Energy Source: Electric Utilities, 2002 - 2012 A. Net Generation by Energy Source: Electric Utilities, 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 1,514,670 52,838 6,286 229,639 206 507,380 242,302 3,089 -7,434 480 2,549,457 2003 1,500,281 62,774 7,156 186,967 243 458,829 249,622 3,421 -7,532 519 2,462,281 2004 1,513,641 62,196 11,498 199,662 374 475,682 245,546 3,692 -7,526 467 2,505,231 2005 1,484,855 58,572 11,150 238,204 10 436,296 245,553 4,945 -5,383 643 2,474,846 2006 1,471,421 31,269 9,634 282,088 30 425,341 261,864 6,588 -5,281 700 2,483,656

276

SAS Output  

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

10.6. Advanced Metering Count by Technology Type, 10.6. Advanced Metering Count by Technology Type, 2007 through 2012 Year Residential Commercial Industrial Transportation Total Automated Meter Reading (AMR) 2007 25,785,782 2,322,329 44,015 109 28,152,235 2008 36,425,943 3,529,985 77,122 13 40,033,063 2009 41,462,111 4,239,531 107,033 11 45,808,686 2010 43,913,225 4,611,877 159,315 626 48,685,043 2011 41,451,888 4,341,105 172,692 77 45,965,762 2012 43,455,437 4,691,018 185,862 125 48,330,822 Advanced Metering Infrastructure (AMI) 2007 2,202,222 262,159 9,106 2 2,473,489 2008 4,190,244 444,003 12,757 12 4,647,016 2009 8,712,297 876,419 22,675 10 9,611,401 2010 18,369,908 1,904,983 59,567 67 20,334,525 2011 33,453,548 3,682,159 154,659 7 37,290,373

277

SAS Output  

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

0. Net Metering Customers and Capacity by Technology Type, by End Use Sector, 0. Net Metering Customers and Capacity by Technology Type, by End Use Sector, 2003 through 2012 Capacity (MW) Customers Year Residential Commercial Industrial Transportation Total Residential Commercial Industrial Transportation Total Historical Data 2003 N/A N/A N/A N/A N/A 5,870 775 168 -- 6,813 2004 N/A N/A N/A N/A N/A 14,114 1,494 215 3 15,826 2005 N/A N/A N/A N/A N/A 19,244 1,565 337 -- 21,146 2006 N/A N/A N/A N/A N/A 30,689 2,553 376 -- 33,618 2007 N/A N/A N/A N/A N/A 44,450 3,513 391 -- 48,354 2008 N/A N/A N/A N/A N/A 64,400 5,305 304 -- 70,009 2009 N/A N/A N/A N/A N/A 88,205 7,365 919 -- 96,489 Photovoltaic 2010 697.890 517.861 243.051 -- 1,458.802 137,618 11,897 1,225 -- 150,740

278

SAS Output  

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

E. Petroleum Liquids: Consumption for Useful Thermal Output, E. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 76,737 0 1,669 3,276 71,788 2003 85,488 0 6,963 3,176 75,349 2004 124,809 0 8,592 7,219 108,997 2005 125,689 0 8,134 6,145 111,410 2006 87,137 0 6,740 3,481 76,916 2007 82,768 0 7,602 2,754 72,412 2008 45,481 0 7,644 2,786 35,051 2009 48,912 0 7,557 1,802 39,552 2010 29,243 0 6,402 1,297 21,545 2011 22,799 0 5,927 1,039 15,833 2012 18,233 0 5,871 746 11,616 2010 January 3,648 0 614 190 2,843 February 3,027 0 422 157 2,447 March 2,015 0 272 43 1,699

279

SAS Output  

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

2. Summary Statistics for the United States, 2002 - 2012 2. Summary Statistics for the United States, 2002 - 2012 (From Table 2.1.) Number of Ultimate Customers Year Residential Commercial Industrial Transportation Other Total 2002 116,622,037 15,333,700 601,744 N/A 1,066,554 133,624,035 2003 117,280,481 16,549,519 713,221 1,127 N/A 134,544,348 2004 118,763,768 16,606,783 747,600 1,025 N/A 136,119,176 2005 120,760,839 16,871,940 733,862 518 N/A 138,367,159 2006 122,471,071 17,172,499 759,604 791 N/A 140,403,965 2007 123,949,916 17,377,219 793,767 750 N/A 142,121,652 2008 124,937,469 17,562,726 774,713 727 N/A 143,275,635 2009 125,177,175 17,561,661 757,519 705 N/A 143,497,060 2010 125,717,935 17,674,338 747,746 239 N/A 144,140,258 2011 126,143,072 17,638,062 727,920 92 N/A 144,509,146

280

SAS Output  

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

Coal Disposition by State, 2012" Coal Disposition by State, 2012" "(thousand short tons)" "Coal-Producing State","Open Market Sales1","Captive Sales / Transactions2","Exports3","Total" "Alabama",8688,"-",10333,19021 "Alaska","w","-",968,"w" "Arizona","w","-","-","w" "Arkansas","w","-","-","w" "Colorado",20836,4552,3468,28856 "Illinois",29252,5113,12341,46705 "Indiana",17127,18404,375,35906 "Kentucky Total",76602,6884,5668,89154 " Kentucky (East)",37324,6884,3588,47796 " Kentucky (West)",39277,"-",2081,41358

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281

SAS Output  

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

A. Natural Gas: Consumption for Electricity Generation, A. Natural Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,126,062 2,259,684 3,148,595 32,545 685,239 2003 5,616,135 1,763,764 3,145,485 38,480 668,407 2004 5,674,580 1,809,443 3,265,896 32,839 566,401 2005 6,036,370 2,134,859 3,349,921 33,785 517,805 2006 6,461,615 2,478,396 3,412,826 34,623 535,770 2007 7,089,342 2,736,418 3,765,194 34,087 553,643 2008 6,895,843 2,730,134 3,612,197 33,403 520,109 2009 7,121,069 2,911,279 3,655,712 34,279 519,799 2010 7,680,185 3,290,993 3,794,423 39,462 555,307 2011 7,883,865 3,446,087 3,819,107 47,170 571,501

282

SAS Output  

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

2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 460,887 461,590 -0.2% 3,652 4,218 428,781 432,350 8,630 6,287 19,824 18,735 Connecticut 120,380 110,546 8.9% 69 730 113,620 105,965 3,952 2,061 2,739 1,790 Maine 44,424 49,352 -10% 0 0 28,456 33,555 307 12 15,662 15,785 Massachusetts 184,330 190,063 -3.0% 2,792 2,393 176,497 182,865 3,749 3,761 1,293 1,045 New Hampshire 50,678 46,927 8.0% 754 1,046 49,655 45,765 139 0 131 115

283

SAS Output  

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

C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 146,643 88,595 39,320 1,210 17,517 2003 189,260 105,319 62,617 1,394 19,929 2004 185,761 103,793 57,843 1,963 22,162 2005 185,631 98,223 63,546 1,584 22,278 2006 87,898 53,529 18,332 886 15,150 2007 95,895 56,910 24,097 691 14,198 2008 61,379 38,995 14,463 621 7,300 2009 51,690 31,847 11,181 477 8,185 2010 44,968 30,806 9,364 376 4,422 2011 31,152 20,844 6,637 301 3,370 2012 25,702 17,521 5,102 394 2,685 2010 January 6,193 4,381 1,188 48 576

284

SAS Output  

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

D. Other Waste Biomass: Consumption for Electricity Generation, D. Other Waste Biomass: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 34,775 2,456 15,859 4,566 11,894 2004 19,215 2,014 9,240 4,308 3,654 2005 17,852 2,485 7,365 4,677 3,325 2006 17,727 2,611 7,788 4,436 2,893 2007 19,083 2,992 8,861 4,049 3,181 2008 24,288 3,409 12,745 3,684 4,450 2009 24,847 3,679 13,231 3,760 4,177 2010 29,996 3,668 14,449 3,790 8,090 2011 30,771 4,488 16,115 3,816 6,352 2012 30,342 4,191 15,740 4,016 6,395 2010 January 2,223 189 1,078 321 635 February 2,336 275 1,208 291 561 March 2,287 311 1,079 302 594

285

SAS Output  

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

E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 682,060 0 9,585 727 671,747 2003 746,375 0 10,893 762 734,720 2004 1,016,124 0 14,968 1,493 999,663 2005 997,331 0 19,193 1,028 977,111 2006 1,049,161 0 18,814 1,045 1,029,303 2007 982,486 0 21,435 1,756 959,296 2008 923,889 0 18,075 1,123 904,690 2009 816,285 0 19,587 1,135 795,563 2010 876,041 0 18,357 1,064 856,620 2011 893,314 0 16,577 1,022 875,716 2012 883,158 0 19,251 949 862,958 2010 January 73,418 0 1,677 91 71,651 February 67,994 0 1,689 81 66,224

286

SAS Output  

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

1. U.S. Coal Summary Statistics, 2007 - 2013" 1. U.S. Coal Summary Statistics, 2007 - 2013" "(thousand short tons)" "Year and","Production1","Imports","Waste Coal","Producer and","Consumption","Exports","Consumer","Losses and" "Quarter",,,"Supplied","Distributor",,,"Stocks2","Unaccounted" ,,,,"Stocks2",,,,"For3" 2007 " January - March",286041,8786,3264,34007,278727,11139,149588 " April - June",285687,8405,3387,32484,267106,14702,162849 " July - September",286035,10559,3697,30090,303665,16198,150448 " October - December",288872,8597,3727,33977,278500,17124,158781 " Total",1146635,36347,14076,,1127998,59163,,4085

287

SAS Output  

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

F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 66,270 3,930 59,149 1,753 1,438 2004 70,489 5,373 60,929 2,098 2,089 2005 68,897 5,650 59,144 2,571 1,532 2006 77,004 8,287 64,217 3,937 563 2007 80,697 8,620 68,657 2,875 544 2008 94,768 10,242 81,300 2,879 346 2009 100,261 9,748 87,086 3,089 337 2010 106,681 10,029 93,405 3,011 236 2011 114,173 11,146 91,279 11,497 251 2012 125,927 12,721 101,379 10,512 1,315 2010 January 8,502 853 7,379 251 19 February 7,882 830 6,823 209 20

288

SAS Output  

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

1. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 1. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2002 294,234 13,659 1.45 31.29 1.56 52.1 29,137 4,638 3.55 22.33 1.24 26.5 2003 322,547 15,076 1.45 31.01 1.37 60.7 27,538 4,624 4.85 28.86 1.25 23.2 2004 326,495 15,324 1.63 34.79 1.43 57.6 25,491 4,107 4.98 30.93 1.38 18.5 2005 339,968 16,011 1.94 41.17 1.42 61.9 36,383 5,876 6.64 41.13 1.36 26.4

289

SAS Output  

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

2. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Electric Utilties by State, 2012 2. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Electric Utilties by State, 2012 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 353 2.20 7.7 0 -- -- 0 -- -- Connecticut 0 -- -- 0 -- -- 0 -- -- Maine 0 -- -- 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 353 2.20 7.7 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- -- 0 -- --

290

SAS Output  

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

Productive Capacity and Capacity Utilization of Underground Coal Mines by State and Mining Method, 2012" Productive Capacity and Capacity Utilization of Underground Coal Mines by State and Mining Method, 2012" "(thousand short tons)" ,"Continuous1",,"Conventional and Other2",,"Longwall3",,"Total" "Coal-Producing","Productive","Capacity","Productive","Capacity","Productive","Capacity","Productive","Capacity" "State","Capacity","Utilization","Capacity","Utilization","Capacity","Utilization","Capacity","Utilization" ,,"Percent",,"Percent",,"Percent",,"Percent" "Alabama","w","w","-","-","w","w",14594,85.99

291

SAS Output  

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

6. Receipts of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 6. Receipts of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 440,421 484,260 -9.1% 3,652 4,226 419,062 434,504 3,636 13,156 14,072 32,373 Connecticut 112,084 116,563 -3.8% 71 738 112,012 107,121 0 3,210 0 5,494 Maine 42,374 56,230 -25% 0 0 28,302 33,578 0 NM 14,072 22,639 Massachusetts 175,314 198,295 -12% 2,789 2,393 168,890 184,156 3,636 7,872 0 3,875 New Hampshire 50,408 47,137 6.9% 754 1,046 49,655 45,725 0 0 0 NM

292

SAS Output  

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

A. U.S. Transmission Circuit Sustained Automatic Outage Counts and Hours by Cause Code and by NERC Region, 2012 A. U.S. Transmission Circuit Sustained Automatic Outage Counts and Hours by Cause Code and by NERC Region, 2012 AC & DC Circuit Outage Counts Sustained Outage Causes FRCC MRO NPCC RFC SERC SPP TRE WECC Contiguous U.S. Weather, excluding lightning 6.00 27.00 3.00 30.00 63.00 12.00 -- 69.00 210.00 Lightning 5.00 10.00 8.00 5.00 31.00 16.00 13.00 57.00 145.00 Environmental -- 1.00 1.00 5.00 -- 1.00 -- -- 8.00 Contamination 14.00 -- -- -- 22.00 3.00 6.00 7.00 52.00 Foreign Interference 34.00 3.00 -- 4.00 13.00 1.00 2.00 14.00 71.00 Fire -- 2.00 -- 1.00 6.00 3.00 1.00 85.00 98.00 Vandalism, Terrorism, or Malicious Acts -- -- -- -- 2.00 -- -- 1.00 3.00 Failed AC Substation Equipment 18.00 16.00 35.00 63.00 57.00 16.00 15.00 65.00 285.00

293

SAS Output  

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

B. Winter Net Internal Demand, Capacity Resources, and Capacity Margins B. Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Assessment Area, 2012 Actual, 2013-2017 Projected Net Internal Demand (Megawatts) -- Winter Eastern Interconnection ERCOT Western Interconnection All Interconnections Period FRCC NPCC Balance of Eastern Region MAPP MISO PJM SERC SPP TRE WECC Contiguous U.S. Actual 2012 / 2013 36,409 45,545 386,359 4,925 74,430 122,566 149,359 35,079 46,909 101,706 616,927 Projected 2013 / 2014 43,384 46,008 399,149 5,385 75,320 132,229 145,657 40,558 51,435 107,341 647,317 Projected 2014 / 2015 44,060 46,090 403,883 5,500 76,252 134,742 146,130 41,259 53,742 109,418 657,192 Projected 2015 / 2016 44,596 46,184 408,927 5,563 77,058 137,338 147,201 41,767 55,346 110,814 665,866

294

SAS Output  

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

B. Noncoincident Peak Load by North American Electric Reliability Corporation Assessment Area, B. Noncoincident Peak Load by North American Electric Reliability Corporation Assessment Area, 2012 Actual, 2013-2017 Projected Summer Peak Load (Megawatts) Eastern Interconnection ERCOT Western Interconnection All Interconnections Period FRCC NPCC Balance of Eastern Region MAPP MISO PJM SERC SPP TRE WECC Contiguous U.S. Actual 2012 44,338 58,319 468,092 5,051 96,769 154,339 161,687 50,246 66,548 130,465 767,762 Projected 2013 45,668 59,969 469,857 5,109 96,192 155,553 159,032 53,971 67,998 133,523 777,015 Projected 2014 46,338 60,654 475,005 5,249 96,879 158,717 159,457 54,703 69,289 132,731 784,017 Projected 2015 47,053 61,428 484,637 5,360 97,565 162,216 164,150 55,346 71,423 134,183 798,724

295

SAS Output  

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

3. Coal Mining Productivity by State, Mine Type, and Mine Production Range, 2012" 3. Coal Mining Productivity by State, Mine Type, and Mine Production Range, 2012" "(short tons produced per employee hour)" ,"Mine Production Range (thousand short tons)" "Coal-Producing State, Region1","Above 1,000","Above 500","Above 200","Above 100","Above 50","Above 10","10 or Under","Total2" "and Mine Type",,"to 1,000","to 500","to 200","to 100","to 50" "Alabama",1.69,2.5,1.95,1.72,1.83,0.69,0.55,1.68 " Underground",1.73,"-","-","-",1.08,0.31,"-",1.64 " Surface",1.36,2.5,1.95,1.72,2.11,1.19,0.55,1.75

296

SAS Output  

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

9. Average Cost of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 9. Average Cost of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England -- -- -- -- -- -- -- Connecticut -- -- -- -- -- -- -- Maine -- -- -- -- -- -- -- Massachusetts -- -- -- -- -- -- -- New Hampshire -- -- -- -- -- -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- -- -- -- -- -- -- Middle Atlantic -- W W -- -- -- W New Jersey -- -- -- -- -- -- -- New York -- W W -- -- -- W Pennsylvania -- -- -- -- -- -- -- East North Central W W W 4.10 4.01 W W

297

SAS Output  

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

5. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: 5. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Industrial Sector by State, 2012 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 19 0.66 6.9 0 -- -- 0 -- -- Connecticut 0 -- -- 0 -- -- 0 -- -- Maine 19 0.66 6.9 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- -- 0 -- --

298

SAS Output  

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

B. Existing Net Summer Capacity of Other Renewable Sources by Producer Type, 2002 through 2012 (Megawatts) B. Existing Net Summer Capacity of Other Renewable Sources by Producer Type, 2002 through 2012 (Megawatts) Year Wind Solar Thermal and Photovoltaic Wood and Wood-Derived Fuels Geothermal Other Biomass Total (Other Renewable Sources) Total (All Sectors) 2002 4,417 397 5,844 2,252 3,800 16,710 2003 5,995 397 5,871 2,133 3,758 18,153 2004 6,456 398 6,182 2,152 3,529 18,717 2005 8,706 411 6,193 2,285 3,609 21,205 2006 11,329 411 6,372 2,274 3,727 24,113 2007 16,515 502 6,704 2,214 4,134 30,069 2008 24,651 536 6,864 2,229 4,186 38,466 2009 34,296 619 6,939 2,382 4,317 48,552 2010 39,135 866 7,037 2,405 4,369 53,811 2011 45,676 1,524 7,077 2,409 4,536 61,221 2012 59,075 3,170 7,508 2,592 4,811 77,155

299

SAS Output  

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

Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2012" Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2012" "(million short tons)" ,"Continuous1",,"Conventional and Other2",,"Longwall3",,"Total" "Coal-Producing","Recoverable","Average Recovery","Recoverable","Average Recovery","Recoverable","Average Recovery","Recoverable","Average Recovery" "State","Coal Reserves","Percentage","Coal Reserves","Percentage","Coal Reserves","Percentage","Coal Reserves","Percentage" ,"at Producing",,"at Producing",,"at Producing",,"at Producing"

300

SAS Output  

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

A. U.S. Transmission Circuit Outages by Type and NERC region, 2012 A. U.S. Transmission Circuit Outages by Type and NERC region, 2012 Outage Type FRCC MRO NPCC RFC SERC SPP TRE WECC Contiguous U.S. Circuit Outage Counts Automatic Outages (Sustained) 151.00 163.00 127.00 272.00 374.00 105.00 80.00 796.00 2,068.00 Non-Automatic Outages (Operational) 77.00 44.00 97.00 230.00 192.00 27.00 45.00 337.00 1,049.00 Non-Automatic Outages (Planned) 2,650.00 453.00 512.00 2,050.00 2,450.00 369.00 472.00 2,744.00 11,700.00 Circuit Outage Hours Automatic Outages (Sustained) 2,852.28 1,312.97 14,244.87 19,857.23 7,123.70 1,509.51 682.60 24,238.64 71,821.80 Non-Automatic Outages (Operational) 186.87 27.08 67.68 186.08 426.59 3.32 13.96 67.59 979.17 Non-Automatic Outages (Planned) 872.65 710.33 1,222.36 1,095.46 503.01 357.44 105.06 1,105.43 5,971.74

Note: This page contains sample records for the topic "analysis system sas" 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

SAS Output  

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

by Sector, 2002 through 2011 Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2002 1,205 1,720 700 -- 3,625 2003 855...

302

SAS Output  

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

Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, 2012" "(million short tons)" ,"Underground - Minable...

303

SAS Output  

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

Coal Productivity by State and Mine Type, 2012 and 2011" ,"Number of Mining Operations2",,,"Number of Employees3",,,"Average Production per Employee Hour" ,,,"(short tons)4"...

304

SAS Output  

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

28,723 30,920 ......Production 17,714 18,143 19,559 20,752 23,921 25,799 ......Transmission 524 579 637 665 679 748 ......Distribution 1,589 1,681 1,787 1,860 1,895 2,037...

305

SAS Output  

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

U.S. Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","April - June","January - March","April - June",2013,2012,"Percent"...

306

SAS Output  

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

Kingdom","-",115,10,115,10,"NM" "Asia Total",337715,127022,70962,464737,136534,240.4 " China",19536,8692,20964,28228,27697,1.9 " India","-",849,611,849,611,39 "...

307

SAS Output  

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

Receipts at Coke Plants by Census Division" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent"...

308

SAS Output  

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

Open Market Sales and Average Price of Coke and Breeze" "(thousand short tons and dollars per short ton)" ,,,,"Year to Date" "Commodity","April - June","January - March","April -...

309

Simulation aids cogeneration system analysis  

Science Conference Proceedings (OSTI)

Cogeneration systems using gas turbines and heat-recovery steam generators (HRSGs) are widely used in chemical process industries (CPI) plants. Because these plants are quite expensive and the HRSG is an important part of the system, it is prudent to analyze the heat-recovery system or simulate its performance well in advance of finalizing plant specifications. Simulation is a method of predicting the performance of the HRSG under different operating modes and gas and steam conditions without physically designing the equipment. Such a study will provide the engineer with valuable information about the HRSG and its performance capabilities. The simulation results could influence the choice of steam system parameters and the selection of the steam or gas turbine. In addition, one may also obtain information about the performance of the HRSG and the cogeneration system. This article explains what HRSG simulation is and the basic methodology. Its applications are then illustrated through several examples.

Ganapathy, V.

1993-10-01T23:59:59.000Z

310

Slack analysis in the system design loop  

Science Conference Proceedings (OSTI)

We present a system-level technique to analyze the impact of design optimizations on system-level timing dependencies. This technique enables us to speed up the design cycle by substituting, in the design the loop, the time-consuming simulation step ... Keywords: slack analysis, system design loop, timing update

Girish Venkataramani; Seth C. Goldstein

2008-10-01T23:59:59.000Z

311

Stability analysis of switched linear singular systems  

Science Conference Proceedings (OSTI)

This paper addresses the stability analysis problem for switched linear continuous-time singular systems. First, based on the equivalent dynamics decomposition form, a refined description for state jumps of the switched singular system is presented, ... Keywords: Average dwell time, Exponential stability, State jumps, Switched singular systems

Lei Zhou, Daniel W. C. Ho, Guisheng Zhai

2013-05-01T23:59:59.000Z

312

Policy Analysis System (Polysys) | Open Energy Information  

Open Energy Info (EERE)

Policy Analysis System (Polysys) Policy Analysis System (Polysys) Jump to: navigation, search Tool Summary Name: Policy Analysis System (Polysys) Agency/Company /Organization: Oak Ridge National Laboratory/University of Tennessee Sector: Land Focus Area: Agriculture Phase: Prepare a Plan Topics: Policies/deployment programs Resource Type: Software/modeling tools Website: www.agpolicy.org/polysys.html OpenEI Keyword(s): EERE tool, Policy Analysis System, Polysys Language: English References: Agricultural Policy Analysis Center Research Tools[1] Model U.S. planning decisions at the level of the agricultural statistics district; crop demands and market prices at the national level; and the integrated livestock sector at the national level. Includes fourteen crops and five livestock commodities.

313

Virtual Money Systems: a Phenomenal Analysis  

E-Print Network (OSTI)

In the development of virtual communities, a new phenomenon of virtual money is observed and presented high importance to both e-commerce and e-society fields. This paper, as a pioneer research, has attempted to make a phenomenal analysis on the existing virtual money systems. By the analysis, this paper has defined what virtual money is, what its general models are, and how its existing systems work. By the analysis, the features of existing virtual money systems are abstracted and their problems are summarized. Driven by the motivation of utilizing and improving the existing virtual money systems, this paper has outlined a novel generic virtual money system model called Common Money (CONEY) to resolve the problems that bother the existing virtual money systems. Finally, further interesting issues for future research are given. 1.

Jingzhi Guo; Angelina Chow

2008-01-01T23:59:59.000Z

314

On-Board Storage Systems Analysis  

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

On-Board Storage Systems Analysis On-Board Storage Systems Analysis R. K. Ahluwalia, J-K Peng and T. Q. Hua DOE and FreedomCAR & Fuel Partnership Hydrogen Delivery and On-Board Storage Analysis Workshop Washington, DC 25 January 2006 Work sponsored by U.S. Department of Energy, Energy Efficiency, Renewable Energy: Hydrogen, Fuel Cells & Infrastructure Technologies 2 ANL ANL ' ' s Role in H s Role in H 2 2 Storage Systems Development Storage Systems Development Working with DOE contractors and Centers of Excellence researchers: Model and analyze various developmental hydrogen storage systems Analyze hybrid systems that combine features of more than one concept Develop models that can be used to "reverse-engineer" particular technologies Identify interface issues and opportunities, and data

315

Analysis of the SIAM Infrared Acquisition System  

SciTech Connect

This report describes and presents the results of an analysis of the performance of the infrared acquisition system for a Self-Initiated Antiaircraft Missile (SIAM). A description of the optical system is included, and models of target radiant intensity, atmospheric transmission, and background radiance are given. Acquisition probabilities are expressed in terms of the system signal-to-noise ratio. System performance against aircraft and helicopter targets is analyzed, and background discrimination techniques are discussed. 17 refs., 22 figs., 6 tabs.

Varnado, S.G.

1974-02-01T23:59:59.000Z

316

VISION 21 SYSTEMS ANALYSIS METHODOLOGIES  

DOE Green Energy (OSTI)

Under the sponsorship of the U.S. Department of Energy/National Energy Technology Laboratory, a multi-disciplinary team led by the Advanced Power and Energy Program of the University of California at Irvine is defining the system engineering issues associated with the integration of key components and subsystems into power plant systems that meet performance and emission goals of the Vision 21 program. The study efforts have narrowed down the myriad of fuel processing, power generation, and emission control technologies to selected scenarios that identify those combinations having the potential to achieve the Vision 21 program goals of high efficiency and minimized environmental impact while using fossil fuels. The technology levels considered are based on projected technical and manufacturing advances being made in industry and on advances identified in current and future government supported research. Included in these advanced systems are solid oxide fuel cells and advanced cycle gas turbines. The results of this investigation will serve as a guide for the U. S. Department of Energy in identifying the research areas and technologies that warrant further support.

G.S. Samuelsen; A. Rao; F. Robson; B. Washom

2003-08-11T23:59:59.000Z

317

Prony analysis for power system transient harmonics  

Science Conference Proceedings (OSTI)

Proliferation of nonlinear loads in power systems has increased harmonic pollution and deteriorated power quality. Not required to have prior knowledge of existing harmonics, Prony analysis detects frequencies, magnitudes, phases, and especially damping ...

Li Qi; Lewei Qian; Stephen Woodruff; David Cartes

2007-01-01T23:59:59.000Z

318

DOE Hydrogen Analysis Repository: Hydrogen Storage Systems Cost Analysis  

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

Hydrogen Storage Systems Cost Analysis Hydrogen Storage Systems Cost Analysis Project Summary Full Title: Cost Analysis of Hydrogen Storage Systems Project ID: 207 Principal Investigator: Stephen Lasher Keywords: Hydrogen storage; costs Purpose The purpose of this analysis is to help guide researchers and developers toward promising R&D and commercialization pathways by evaluating the various on-board hydrogen storage technologies on a consistent basis. Performer Principal Investigator: Stephen Lasher Organization: TIAX, LLC Address: 15 Acorn Park Cambridge, MA 02140 Telephone: 617-498-6108 Email: lasher.stephen@tiaxllc.com Additional Performers: Matt Hooks, TIAX, LLC; Mark Marion, TIAX, LLC; Kurtis McKenney, TIAX, LLC; Bob Rancatore, TIAX, LLC; Yong Yang, TIAX, LLC Sponsor(s) Name: Sunita Satyapal

319

DOE Hydrogen Analysis Repository: Hydrogen Storage Systems Analysis  

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

Storage Systems Analysis Storage Systems Analysis Project Summary Full Title: System Level Analysis of Hydrogen Storage Options Project ID: 202 Principal Investigator: Rajesh K. Ahluwalia Keywords: Hydrogen storage; compressed hydrogen tanks Purpose ANL is developing models to understand the characteristics of storage systems based on approaches with unique characteristics (thermal energy and temperature of charge and discharge, kinetics of the physical and chemical process steps involved) and to evaluate their potential to meet DOE targets for on-board applications. Performer Principal Investigator: Rajesh K. Ahluwalia Organization: Argonne National Laboratory (ANL) Address: 9700 S. Cass Ave. Argonne, IL 60439 Telephone: 630-252-5979 Email: walia@anl.gov Additional Performers: T.Q. Hua, Argonne National Laboratory; Romesh Kumar, Argonne National Laboratory; J-C Peng, Argonne National Laboratory

320

Preliminary market analysis for Brayton cycle heat recovery system characterization program. Subtask 5. 2 of phase I program plan  

Science Conference Proceedings (OSTI)

The purpose of the task is to determine the market potential of the Brayton-cycle Subatmospheric System (SAS), especially as applied to the glass processing industry. Areas which impact the sales of the Brayton-cycle systems examined are: market size; opportunities for waste heat system installation (furnace rebuild and repair); pollution control on glass furnaces; equipment costs; equipment performance; and market growth potential. Supporting data were compiled for the glass industry inventory and are presented in Appendix A. Emission control techniques in the glass industry are discussed in Appendix B. (MCW)

Not Available

1980-08-31T23:59:59.000Z

Note: This page contains sample records for the topic "analysis system sas" 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

Event Model Interfaces for Heterogeneous System Analysis  

E-Print Network (OSTI)

Complex embedded systems consist of hardware and software components from different domains, such as control and signal processing, many of them supplied by different IP vendors. The embedded system designer faces the challenge to integrate, optimize and verify the resulting heterogeneous systems. While formal verification is available for some subproblems, the analysis of the whole system is currently limited to simulation or emulation. In this paper, we tackle the analysis of global resource sharing, scheduling, and buffer sizing in heterogeneous embedded systems. For many practically used preemptive and non-preemptive hardware and software scheduling algorithms of processors and busses, semi-formal analysis techniques are known. However, they cannot be used in system level analysis due to incompatibilities of their underlying event models. This paper presents a technique to couple the analysis of local scheduling strategies via an event interface model. We derive transformation rules between the most important event models and provide proofs where necessary. We use expressive examples to illustrate their application.

Kai Richter; Rolf Ernst

2002-01-01T23:59:59.000Z

322

Hydrogen Systems Analysis | Department of Energy  

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

Clean Coal » Coal to Liquids » Hydrogen Clean Coal » Coal to Liquids » Hydrogen Systems Analysis Hydrogen Systems Analysis Energy analyses provide valuable information, input, and guidance into the decision-making process on important issues such as national energy security and environmental policies, research and development programs and plans, technology options, and potential technical, economic, market, and social barriers to technology deployment. The Hydrogen and Clean Coal Fuels Program, working with the NETL Office of Systems, Analyses, and Planning, supports systems, techno-economic, and benefits analysis activities to provide guidance and input for its research and development program portfolio, assess the progress made by Program-funded research, and measure the energy security, economic and

323

Fuel Cycle System Analysis Handbook  

Science Conference Proceedings (OSTI)

This Handbook aims to improve understanding and communication regarding nuclear fuel cycle options. It is intended to assist DOE, Campaign Managers, and other presenters prepare presentations and reports. When looking for information, check here. The Handbook generally includes few details of how calculations were performed, which can be found by consulting references provided to the reader. The Handbook emphasizes results in the form of graphics and diagrams, with only enough text to explain the graphic, to ensure that the messages associated with the graphic is clear, and to explain key assumptions and methods that cause the graphed results. Some of the material is new and is not found in previous reports, for example: (1) Section 3 has system-level mass flow diagrams for 0-tier (once-through), 1-tier (UOX to CR=0.50 fast reactor), and 2-tier (UOX to MOX-Pu to CR=0.50 fast reactor) scenarios - at both static and dynamic equilibrium. (2) To help inform fast reactor transuranic (TRU) conversion ratio and uranium supply behavior, section 5 provides the sustainable fast reactor growth rate as a function of TRU conversion ratio. (3) To help clarify the difference in recycling Pu, NpPu, NpPuAm, and all-TRU, section 5 provides mass fraction, gamma, and neutron emission for those four cases for MOX, heterogeneous LWR IMF (assemblies mixing IMF and UOX pins), and a CR=0.50 fast reactor. There are data for the first 10 LWR recycle passes and equilibrium. (4) Section 6 provides information on the cycle length, planned and unplanned outages, and TRU enrichment as a function of fast reactor TRU conversion ratio, as well as the dilution of TRU feedstock by uranium in making fast reactor fuel. (The recovered uranium is considered to be more pure than recovered TRU.) The latter parameter impacts the required TRU impurity limits specified by the Fuels Campaign. (5) Section 7 provides flows for an 800-tonne UOX separation plant. (6) To complement 'tornado' economic uncertainty diagrams, which show at a glance combined uncertainty information, section 9.2 has a new set of simpler graphs that show the impact on fuel cycle costs for once through, 1-tier, and 2-tier scenarios as a function of key input parameters.

Steven J. Piet; Brent W. Dixon; Dirk Gombert; Edward A. Hoffman; Gretchen E. Matthern; Kent A. Williams

2009-06-01T23:59:59.000Z

324

TRANSIMS: Transportation analysis and simulation system  

SciTech Connect

This document summarizes the TRansportation ANalysis and SIMulation System (TRANSIMS) Project, the system`s major modules, and the project`s near-term plans. TRANSIMS will employ advanced computational and analytical techniques to create an integrated regional transportation systems analysis environment. The simulation environment will include a regional population of individual travelers and freight loads with travel activities and plans, whose individual interactions will be simulated on the transportation system, and whose environmental impact will be determined. We will develop an interim operational capability (IOC) for each major TRANSIMS module during the five-year program. When the IOC is ready, we will complete a specific case study to confirm the IOC features, applicability, and readiness.

Smith, L.; Beckman, R.; Baggerly, K. [and others

1995-07-01T23:59:59.000Z

325

Intelligent Transportation Systems - Center for Transportation Analysis  

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

Intelligent Transportation Systems Intelligent Transportation Systems The Center for Transportation Analysis does specialty research and development in intelligent transportation systems. Intelligent Transportation Systems (ITS) are part of the national strategy for improving the operational safety, efficiency, and security of our nation's highways. Since the early 1990s, ITS has been the umbrella under which significant efforts have been conducted in research, development, testing, deployment and integration of advanced technologies to improve the measures of effectiveness of our national highway network. These measures include level of congestion, the number of accidents and fatalities, delay, throughput, access to transportation, and fuel efficiency. A transportation future that includes ITS will involve a significant improvement in these

326

Ground Source Heat Pump System Data Analysis  

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

Peer Review Peer Review GSHP System Data Analysis Xiaobing Liu, Ph.D. Oak Ridge National Laboratory liux2@ornl.gov (865-574-2593) 4/3/2013 - GSHP Data Analysis in 1 st phase of U.S.-China CERC-BEE - GSHP ARRA Grantee Data Mining 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: High first cost of ground heat exchangers (GHXs) and lack of knowledge/trust in achievable benefits are major barriers preventing

327

Ground Source Heat Pump System Data Analysis  

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

Peer Review Peer Review GSHP System Data Analysis Xiaobing Liu, Ph.D. Oak Ridge National Laboratory liux2@ornl.gov (865-574-2593) 4/3/2013 - GSHP Data Analysis in 1 st phase of U.S.-China CERC-BEE - GSHP ARRA Grantee Data Mining 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: High first cost of ground heat exchangers (GHXs) and lack of knowledge/trust in achievable benefits are major barriers preventing

328

Seismic modal analysis and system interaction  

Science Conference Proceedings (OSTI)

Separate abstracts were prepared for the technical papers presented at the American Society of Mechanical Engineers 1993 Pressure Vessels and Piping Conference on July 25--29 in Denver, Colorado. This volume contains sixteen papers presented under the session title of Modal Analysis and Systems Interactions Techniques. The intent of these sessions is to provide a common forum for the researchers to have a broad exchange of views on many pressing subjects concerning the design and analysis of nuclear and waste facilities.

Lin, Chi Wen (ed.) (Robert L. Cloud and Associates, Inc., Berkeley, CA (United States)); Wang, Chung Yi (ed.) (Argonne National Lab., IL (United States)); Chen, W.W. (ed.) (Westinghouse Hanford Co., Richland, WA (United States)); Gutierrez, B. (ed.) (Dept. of Energy, Aiken, SC (United States). Savannah River Site)

1993-01-01T23:59:59.000Z

329

PNNL Technology Systems Analysis Group | Open Energy Information  

Open Energy Info (EERE)

Analysis Group Analysis Group (Redirected from Technology Systems Analysis) Jump to: navigation, search Logo: Technology Systems Analysis Name Technology Systems Analysis Agency/Company /Organization Pacific Northwest National Laboratory Sector Energy Website http://tsa.pnl.gov/ References Technology Systems Analysis [1] "The Technology Systems Analysis group is part of the Pacific Northwest National Laboratory's Energy Environment Directorate. Our signature capabilities include sustainable design and development, building systems and energy technology analysis, and carbon management. We work with government and private sector clients to solve energy, environmental, and economic systems challenges, such as global climate change, sustainable development, energy systems. Examples of our current work include

330

Top Hat Pressure System Hyperbaric Test Analysis | Department...  

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

Top Hat Pressure System Hyperbaric Test Analysis Top Hat Pressure System Hyperbaric Test Analysis This file contains data from pressure measurements inside Top Hat 4....

331

Cyber Effects Analysis Using VCSE Promoting Control System Reliability...  

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

Cyber Effects Analysis Using VCSE Promoting Control System Reliability Cyber Effects Analysis Using VCSE Promoting Control System Reliability This report describes the Virtual...

332

Security Analysis and Project Management Systems | ornl.gov  

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

Security Analysis and Project Management Systems SHARE Security Analysis and Project Management Systems ORNL brings together the subject matter experts with programmers to design,...

333

Systems analysis of the CANDU 3 Reactor  

SciTech Connect

This report presents the results of a systems failure analysis study of the CANDU 3 reactor design; the study was performed for the US Nuclear Regulatory Commission. As part of the study a review of the CANDU 3 design documentation was performed, a plant assessment methodology was developed, representative plant initiating events were identified for detailed analysis, and a plant assessment was performed. The results of the plant assessment included classification of the CANDU 3 event sequences that were analyzed, determination of CANDU 3 systems that are ``significant to safety,`` and identification of key operator actions for the analyzed events.

Wolfgong, J.R.; Linn, M.A.; Wright, A.L.; Olszewski, M.; Fontana, M.H. [Oak Ridge National Lab., TN (United States)

1993-07-01T23:59:59.000Z

334

Integrated systems analysis of the PIUS reactor  

SciTech Connect

Results are presented of a systems failure analysis of the PIUS plant systems that are used during normal reactor operation and postulated accidents. This study was performed to provide the NRC with an understanding of the behavior of the plant. The study applied two diverse failure identification methods, Failure Modes Effects & Criticality Analysis (FMECA) and Hazards & Operability (HAZOP) to the plant systems, supported by several deterministic analyses. Conventional PRA methods were also used along with a scheme for classifying events by initiator frequency and combinations of failures. Principal results of this study are: (a) an extensive listing of potential event sequences, grouped in categories that can be used by the NRC, (b) identification of support systems that are important to safety, and (c) identification of key operator actions.

Fullwood, F.; Kroeger, P.; Higgins, J. [Brookhaven National Lab., Upton, NY (United States)] [and others

1993-11-01T23:59:59.000Z

335

PNNL Technology Systems Analysis Group | Open Energy Information  

Open Energy Info (EERE)

Technology Systems Analysis Group Technology Systems Analysis Group Jump to: navigation, search Logo: Technology Systems Analysis Name Technology Systems Analysis Agency/Company /Organization Pacific Northwest National Laboratory Sector Energy Website http://tsa.pnl.gov/ References Technology Systems Analysis [1] "The Technology Systems Analysis group is part of the Pacific Northwest National Laboratory's Energy Environment Directorate. Our signature capabilities include sustainable design and development, building systems and energy technology analysis, and carbon management. We work with government and private sector clients to solve energy, environmental, and economic systems challenges, such as global climate change, sustainable development, energy systems. Examples of our current work include

336

Large Monitoring Systems: Data Analysis, Design and Deployment  

E-Print Network (OSTI)

Data Analysis, Design and Deployment by Ram Rajagopal AData Analysis, Design and Deployment by Ram Rajagopal DoctorRam Rajagopal, titled Large Monitoring Systems: Data Analysis,

Rajagopal, Ram

2009-01-01T23:59:59.000Z

337

NREL: Hydrogen and Fuel Cells Research - Systems Analysis  

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

analysis modeling activities. To learn more about hydrogen systems analysis, visit Energy Analysis and Tools. Publications The following technical papers, journal articles,...

338

SteamMaster: Steam System Analysis Software  

E-Print Network (OSTI)

As director of Oregon's Industrial Assessment Center, I have encountered many industrial steam systems during plant visits. We analyze steam systems and make recommendations to improve system efficiency. In nearly 400 industrial assessments, we have recommended 210 steam system improvements, excluding heat recovery, that would save $1.5 million/year with a 0.4-year payback. 75% of those recommendations have been implemented for $1.1 million annual savings with 0.3-year payback. Recently I have developed a tool to facilitate the process. SteamMaster is based on an Excel spreadsheet with a Visual Basic interface to simplify system modeling and analysis. SteamMaster has many features and capabilities, including energy and cost savings calculations for five steam recommendations. This presentation will demonstrate SteamMaster software applied to one or more industrial steam systems. Software will be made available on a national web site at no cost.

Wheeler, G.

2003-05-01T23:59:59.000Z

339

Energy Engineering & Systems Analysis Success Stories  

E-Print Network (OSTI)

Energy Engineering & Systems Analysis Success Stories For further information, contact: Glenn vehicle information on performance, fuel economy, energy consumption and emissions output. The Challenge. Having the data available before design will accelerate the time to market as manufacturers will not have

Hudson, Randy

340

Power System Transient Analysis Using Wavelet Transform  

E-Print Network (OSTI)

: This paper presents time-frequency multiresolution wavelet analysis on power system transients. Since it is difficult to analyze transients on-site due to a vast amount of data recorded from a digital transient recorder, it is imperative to develop an intelligent recorder which has the ability to detect and classify different types of power system transients. In order to develop a good approach for transient data capture and analysis, one of the important steps is to model transients, so that it is more efficient for computers to extract the features from power transients and recognize them automatically. Most of transient signals are aperiodic and short-term duration signals superimposed on the power frequency. The Fourier-based transforms have been proved valuable for periodic, time-invariant, or stationary signals, but they have problems with analyzing power transients due to the lack of multiple resolution in time-frequency domain. Wavelet analysis overcomes the limitations of t...

J. Chen

1999-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis system sas" 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

Wind turbine data acquisition and analysis system  

DOE Green Energy (OSTI)

Under Department of Energy (DOE) sponsorship, Sandia Laboratories has implemented a program to develop vertical-axis wind turbine (VAWT) systems. One aspect of this program has been the development of an instrumented test site adjacent to Sandia Laboratories' Technical Area I on Kirtland Air Force Base. Three VAWTs are now in operation on this test site. This paper describes the data acquisition and analyses system developed to meet the needs of the VAWT test site. The system employs a 16-bit work-length minicomputer as the major element in a stand-alone configuration. A variety of peripheral devices perform the required data acquisition functions and provide for data display and analysis. Included is a disk-based software operating system that supports a mass storage-file system, high-level language, and auxiliary software procedures.

Stiefeld, B.

1978-07-01T23:59:59.000Z

342

Nuclear Fuel Cycle Integrated System Analysis  

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

Fuel Cycle Integrated System Analysis Fuel Cycle Integrated System Analysis Abdellatif M. Yacout Argonne National Laboratory Nuclear Engineering Division The nuclear fuel cycle is a complex system with multiple components and activities that are combined to provide nuclear energy to a variety of end users. The end uses of nuclear energy are diverse and include electricity, process heat, water desalination, district heating, and possibly future hydrogen production for transportation and energy storage uses. Components of the nuclear fuel cycle include front end components such as uranium mining, conversion and enrichment, fuel fabrication, and the reactor component. Back end of the fuel cycle include used fuel coming out the reactor, used fuel temporary and permanent storage, and fuel reprocessing. Combined with those components there

343

SALT-ANL. Systems Analysis Process Simulation  

Science Conference Proceedings (OSTI)

SALT (Systems Analysis Language Translator), a systems- analysis and process-simulation program for steady-state and dynamic systems, can also be used for optimization and sensitivity studies. SALT employs state-of-the-art numerical techniques including a hybrid steepest-descent/quasi-Newtonian multidimensional nonlinear equation solver, sequential quadratic programming methods for optimization, and multistep integration methods for both stiff and nonstiff systems of differential equations. Based on a preprocessor concept where a `new` system driver can be written for each application, SALT-ANL contains precompiled component models, several flow types, and a number of thermodynamic and transport property routines, including a gas chemical-equilibrium code. It has been applied to the study of open-cycle and liquid-metal magnetohydrodynamic systems, fuel cells, ocean thermal energy conversion, municipal solid-waste processing, fusion, breeder reactors, and geothermal and solar-energy systems. Models available include: combustor, compressor, deaerator, gas-diffuser, fuel-dryer, feedwater-heater, flash-tank, gas-turbine, heater, heat-exchanger, flow-initiator, fuel-flow-initiator, molten-carbonate fuel-cell, liquid-metal diffuser, magnetohydrodynamic-generator, liquid-metal magnetohydrodynamic-generator, liquid-metal nozzle, liquid-metal pipe, flow-mixer, gas-nozzle, phosphoric acid fuel-cell, pump, pipe-calculator, steam-condenser, steam-drum, liquid-gas separator, stack, solid-oxide fuel-cell, flow-splitter, steam-turbine, two-phase diffuser, two-phase mixer, and two-phase nozzle. Input data to the SALT program describe the system configuration for the specific problem to be analyzed and provide instructions defining system constraints, objective functions, parameter sweeps, etc. to generate a PL/I program representing the system problem and performing the various analytic tasks.

Berry, G.F.; Geyer, H.K. [Argonne National Lab., IL (United States)

1992-02-26T23:59:59.000Z

344

The National Meteorological Center's Spectral Statistical-Interpolation Analysis System  

Science Conference Proceedings (OSTI)

At the National Meteorological Center (NMC), a new analysis system is being extensively tested for possible use in the operational global data assimilation system. This analysis system is called the spectral statistical- interpolation (SSI) ...

David F. Parrish; John C. Derber

1992-08-01T23:59:59.000Z

345

Tank waste remediation system mission analysis report  

SciTech Connect

This document describes and analyzes the technical requirements that the Tank Waste Remediation System (TWRS) must satisfy for the mission. This document further defines the technical requirements that TWRS must satisfy to supply feed to the private contractors` facilities and to store or dispose the immobilized waste following processing in these facilities. This document uses a two phased approach to the analysis to reflect the two-phased nature of the mission.

Acree, C.D.

1998-01-09T23:59:59.000Z

346

Reliability analysis of containment isolation systems  

Science Conference Proceedings (OSTI)

This report summarizes the results of the Reliability Analysis of Containment Isolation System Project. Work was performed in five basic areas: design review, operating experience review, related research review, generic analysis and plant specific analysis. Licensee Event Reports (LERs) and Integrated Leak Rate Test (ILRT) reports provided the major sources of containment performance information used in this study. Data extracted from LERs were assembled into a computer data base. Qualitative and quantitative information developed for containment performance under normal operating conditions and design basis accidents indicate that there is room for improvement. A rough estimate of overall containment unavailability for relatively small leaks which violate plant technical specifications is 0.3. An estimate of containment unavailability due to large leakage events is in the range of 0.001 to 0.01. These estimates are dependent on several assumptions (particularly on event duration times) which are documented in the report.

Pelto, P.J.; Ames, K.R.; Gallucci, R.H.

1985-06-01T23:59:59.000Z

347

Characterization analysis database system (CADS): A system overview  

SciTech Connect

The CADS database is a standardized, quality-assured, and configuration-controlled data management system developed to assist in the task of characterizing the DOE surplus HEU material. Characterization of the surplus HEU inventory includes identifying the specific material; gathering existing data about the inventory; defining the processing steps that may be necessary to prepare the material for transfer to a blending site; and, ultimately, developing a range of the preliminary cost estimates for those processing steps. Characterization focuses on producing commercial reactor fuel as the final step in material disposition. Based on the project analysis results, the final determination will be made as to the viability of the disposition path for each particular item of HEU. The purpose of this document is to provide an informational overview of the CADS database, its evolution, and its current capabilities. This document describes the purpose of CADS, the system requirements it fulfills, the database structure, and the operational guidelines of the system.

1997-12-01T23:59:59.000Z

348

Towards sensitivity analysis of hybrid systems using simulink  

Science Conference Proceedings (OSTI)

In the design of engineered systems two types of models are used: (i) analysis models and (ii) system models. The system models are primary deliverables between design stages whereas analysis models are employed within a design stage. Sensitivity analysis ... Keywords: sensitivity analysis, simulation, verification

Zhi Han; Pieter J. Mosterman

2013-04-01T23:59:59.000Z

349

FCT Systems Analysis: DOE 2010-2025 Scenario Analysis Meeting: August 9-10,  

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

August 9-10, 2006 to someone by E-mail August 9-10, 2006 to someone by E-mail Share FCT Systems Analysis: DOE 2010-2025 Scenario Analysis Meeting: August 9-10, 2006 on Facebook Tweet about FCT Systems Analysis: DOE 2010-2025 Scenario Analysis Meeting: August 9-10, 2006 on Twitter Bookmark FCT Systems Analysis: DOE 2010-2025 Scenario Analysis Meeting: August 9-10, 2006 on Google Bookmark FCT Systems Analysis: DOE 2010-2025 Scenario Analysis Meeting: August 9-10, 2006 on Delicious Rank FCT Systems Analysis: DOE 2010-2025 Scenario Analysis Meeting: August 9-10, 2006 on Digg Find More places to share FCT Systems Analysis: DOE 2010-2025 Scenario Analysis Meeting: August 9-10, 2006 on AddThis.com... Home Analysis Methodologies DOE H2A Analysis Scenario Analysis Quick Links Hydrogen Production Hydrogen Delivery

350

Distribution System Analysis Tools for Studying High Penetration of PV  

E-Print Network (OSTI)

Distribution System Analysis Tools for Studying High Penetration of PV with Grid Support Features Electric Energy System #12;#12;Distribution System Analysis Tools for Studying High Penetration of PV project titled "Distribution System Analysis Tools for Studying High Penetration of PV with Grid Support

351

Apparatus and system for multivariate spectral analysis  

DOE Patents (OSTI)

An apparatus and system for determining the properties of a sample from measured spectral data collected from the sample by performing a method of multivariate spectral analysis. The method can include: generating a two-dimensional matrix A containing measured spectral data; providing a weighted spectral data matrix D by performing a weighting operation on matrix A; factoring D into the product of two matrices, C and S.sup.T, by performing a constrained alternating least-squares analysis of D=CS.sup.T, where C is a concentration intensity matrix and S is a spectral shapes matrix; unweighting C and S by applying the inverse of the weighting used previously; and determining the properties of the sample by inspecting C and S. This method can be used by a spectrum analyzer to process X-ray spectral data generated by a spectral analysis system that can include a Scanning Electron Microscope (SEM) with an Energy Dispersive Detector and Pulse Height Analyzer.

Keenan, Michael R. (Albuquerque, NM); Kotula, Paul G. (Albuquerque, NM)

2003-06-24T23:59:59.000Z

352

Systems Analysis Workshop List of Attendees  

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

Attendee List: Systems Analysis Workshop July 28-29, 2004 Attendee List: Systems Analysis Workshop July 28-29, 2004 DOE HFCIT-Chalk, Steven Steven.Chalk@hq.doe.gov HFCIT-Devlin, Pete * PETER.DEVLIN@ee.doe.gov HFCIT-Milliken, JoAnn JoAnn.Milliken@ee.doe.gov HFCIT-Satyapal, Sunita sunita.satyapal@ee.doe.gov PBA-Patterson, Philip Philip.Patterson@hq.doe.gov PBA-Dowd, Jeff Jeff.Dowd@hq.doe.gov SC-Kung, Harriet * Harriet.Kung@science.doe.gov NE-Henderson, David David.Henderson@hq.doe.gov NE-Sink, Carl carl.sink@nuclear.energy.gov FE-Miller, Lowell LOWELL.MILLER@HQ.DOE.GOV HFCIT-Anderson, Arlene arelene.anderson@ee.doe.gov HFCIT - Gronich, Sig Sig.gronich@ee.doe.gov HFCIT-Epping, Kathi Kathi.epping@ee.doe.gov HFCIT-Lightner, Valri Valri.lightner@ee.doe.gov NREL Systems Integration

353

Tribal and stakeholder involvement in systems analysis  

SciTech Connect

Beginning in early 1995, U.S. Department of Energy began an experiment to link tribal and stakeholder representatives into technology assessment activities related to an Integrated Nonthermal Treatment System (INTS) study. The INTS study moved outside the framework of after-the-fact public involvement by providing the opportunity for technical and non-technical stakeholders alike to work together in the early predecision stages of the criteria development and assessment of options for innovative mixed waste treatment. The stakeholders gained an appreciation of the intense level of effort required to complete such an analysis. The engineers and scientists conducting the systems analyses had the opportunity (some for the first time) to learn more about tribal and stakeholder issues and how they might apply to the technical tasks related to technology assessment and selection.

McClure, L. [Lockheed Martin Idaho Technologies Company, Idaho Falls, ID (United States); Swartz, G. [Swartz and Associates, Boulder City, NV (United States); Cooley, C. [Department of Energy, Germantown, MD (United States)

1997-10-01T23:59:59.000Z

354

System Design, Analysis, Modeling, and Media Engineering Properties...  

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

modeling and simulations of * various storage systems configurations. Lead the storage system energy analysis and provide * results. Compile and obtain media engineering...

355

K West integrated water treatment system subproject safety analysis document  

Science Conference Proceedings (OSTI)

This Accident Analysis evaluates unmitigated accident scenarios, and identifies Safety Significant and Safety Class structures, systems, and components for the K West Integrated Water Treatment System.

SEMMENS, L.S.

1999-02-24T23:59:59.000Z

356

Modal Analysis of Power Systems with Doubly Fed Induction Generators.  

E-Print Network (OSTI)

?? To ensure the reliable operation of the power system, stability analysis considering the interaction between wind power and power system must be understood. In this… (more)

Li, Jialin

2010-01-01T23:59:59.000Z

357

Parametric Analysis of a Solar Desiccant Cooling System using...  

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

Parametric Analysis of a Solar Desiccant Cooling System using the SimSPARK Environment Title Parametric Analysis of a Solar Desiccant Cooling System using the SimSPARK Environment...

358

Using expert systems components to enhance reliability analysis tools  

Science Conference Proceedings (OSTI)

In this paper we discuss the use of expert system components to enhance reliability analysis software tools. The discussion focuses on two expert systems built to enhance STAR and SUPER, reliability analysis tools developed at AT&T Bell Laboratories. ...

William B. Frakes; D. H. Myers

1988-06-01T23:59:59.000Z

359

Thermal Analysis of Refrigeration Systems Used for Vaccine ...  

Science Conference Proceedings (OSTI)

Page 1. Thermal Analysis of Refrigeration Systems Used for Vaccine Storage ... Suitability of commercial refrigerators for vaccine storage not ...

2012-08-03T23:59:59.000Z

360

An Operational Global-Scale Ocean Thermal Analysis System  

Science Conference Proceedings (OSTI)

The Optimum Thermal Interpolation System (OTIS) is an ocean thermal analysis product developed for real-time operational use at the U.S. Navy's Fleet Numerical Oceanography Center. It functions in an analysis-prediction-analysis data assimilation ...

R. Michael Clancy; Patricia A. Phoebus; Kenneth D. Pollak

1990-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis system sas" 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

System Reconfiguration Analysis Program (SYSRAP): User's manual  

Science Conference Proceedings (OSTI)

SYSRAP (for System Reconfiguration Analysis Program) is a distribution automation applications software package for assessing system reconfiguration opportunities and volt/var control on radial electric distribution feeders. The software program which is written in Turbo Pascal Version 5.0 was developed by the Oak Ridge National Laboratory as part of the Athens Automation and Control Experiment (AACE), a large-scale distribution automation and control project sponsored by the US Department of Energy, Office of Energy Management. SYSRAP is unique because it combines power flow and short-circuit analyses with data base management and is especially well suited for answering system operator questions with respect to switch orders, capacitor bank dispatch, and regulator tap adjustments. The program runs on a personal computer, executes power flow and short-circuit analyses for detailed feeder models including voltage-sensitive loads, and is adept at reorganizing the feeders' data base to reflect switching operations and changes in the status of volt/var equipment. The topics covered in the manual include: the installation of SYSRAP on an IBM or IBM-compatible personal computer; background and motivation for the software program along with functional descriptions of its capabilities, algorithms, and data handling techniques; descriptions of the SYSRAP screens, menus, and expected input data; and help information for menu selections. Also, the manual illustrates the use of SYSRAP to investigate some distribution automation applications; and describes how RTSYSRAP, the real-time version of SYSRAP, interfaces to a Supervisory Control and Data Acquisition System via an ASCII data file consisting of distribution system analog and status values. 18 figs., 7 tabs.

Patton, J.B. (Patton (J.B.), Knoxville, TN (USA)); Rizy, D.T. (Oak Ridge National Lab., TN (USA)); Lawler, J.S. (Tennessee Univ., Knoxville, TN (USA). Dept. of Electrical Engineering)

1991-04-01T23:59:59.000Z

362

Conceptual design and systems analysis of photovoltaic power systems. Volume II. Systems. Revised final report  

DOE Green Energy (OSTI)

Conceptual designs were made and analyses were performed on three types of solar photovoltaic power systems. Included were Residential (1--10 kW), Intermediate (0.1--10 MW), and Central (50--1000 MW) Power Systems to be installed in the 1985 to 2000 time period. Detailed descriptions of each of the three systems studied, descriptions of the necessary subsystems, and discussions of the interfaces between them are presented. Included also are descriptions of system performance and system cost used to perform an economic analysis which assesses the value of each system.

Pittman, P.F.

1977-03-01T23:59:59.000Z

363

Vulnerability Analysis of Energy Delivery Control Systems  

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

0-18381 0-18381 Vulnerability Analysis of Energy Delivery Control Systems September 2011 Idaho National Laboratory Idaho Falls, Idaho 83415 http://www.inl.gov Prepared for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Under DOE Idaho Operations Office Contract DE-AC07-05ID14517 The INL is a U.S. Department of Energy National Laboratory operated by Battelle Energy Alliance DISCLAIMER This information was prepared as an account of work sponsored by an agency of the U.S. Government. Neither the U.S. Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness, of any information, apparatus, product, or

364

Benchmark of SCALE (SAS2H) isotopic predictions of depletion analyses for San Onofre PWR MOX fuel  

Science Conference Proceedings (OSTI)

The isotopic composition of mixed-oxide (MOX) fuel, fabricated with both uranium and plutonium, after discharge from reactors is of significant interest to the Fissile Materials Disposition Program. The validation of the SCALE (SAS2H) depletion code for use in the prediction of isotopic compositions of MOX fuel, similar to previous validation studies on uranium-only fueled reactors, has corresponding significance. The EEI-Westinghouse Plutonium Recycle Demonstration Program examined the use of MOX fuel in the San Onofre PWR, Unit 1, during cycles 2 and 3. Isotopic analyses of the MOX spent fuel were conducted on 13 actinides and {sup 148}Nd by either mass or alpha spectrometry. Six fuel pellet samples were taken from four different fuel pins of an irradiated MOX assembly. The measured actinide inventories from those samples has been used to benchmark SAS2H for MOX fuel applications. The average percentage differences in the code results compared with the measurement were {minus}0.9% for {sup 235}U and 5.2% for {sup 239}Pu. The differences for most of the isotopes were significantly larger than in the cases for uranium-only fueled reactors. In general, comparisons of code results with alpha spectrometer data had extreme differences, although the differences in the calculations compared with mass spectrometer analyses were not extremely larger than that of uranium-only fueled reactors. This benchmark study should be useful in estimating uncertainties of inventory, criticality and dose calculations of MOX spent fuel.

Hermann, O.W.

2000-02-01T23:59:59.000Z

365

Event density analysis for event triggered control systems  

Science Conference Proceedings (OSTI)

In event triggered control systems, events occur aperiodically. For the real-time analysis of such systems, an appropriate approximation of the events' stimulation is necessary. Upper bounds have already been found for event triggered systems. For now, ...

Tobias Bund; Benjamin Menhorn; Frank Slomka

2013-03-01T23:59:59.000Z

366

Stochastic Control Analysis for Biochemical Reaction Systems  

E-Print Network (OSTI)

In this paper, we investigate how stochastic reaction processes are affected by external perturbations. We describe an extension of the deterministic metabolic control analysis (MCA) to the stochastic regime. We introduce stochastic sensitivities for mean and covariance values of reactant concentrations and reaction fluxes and show that there exist MCA-like summation theorems among these sensitivities. The summation theorems for flux variances are shown to depend on the size of the measurement time window ($\\epsilon$), within which reaction events are counted for measuring a single flux. The degree of the $\\epsilon$-dependency can become significant for processes involving multi-time-scale dynamics and is estimated by introducing a new measure of time scale separation. This $\\epsilon$-dependency is shown to be closely related to the power-law scaling observed in flux fluctuations in various complex networks. We propose a systematic way to control fluctuations of reactant concentrations while minimizing changes in mean concentration levels. Such orthogonal control is obtained by introducing a control vector indicating the strength and direction of parameter perturbations leading to a sensitive control. We also propose a possible implication in the control of flux fluctuation: The control distribution for flux fluctuations changes with the measurement time window size, $\\epsilon$. When a control engineer applies a specific control operation on a reaction system, the system can respond contrary to what is expected, depending on the time window size $\\epsilon$.

Kyung Hyuk Kim; Herbert M. Sauro

2009-04-20T23:59:59.000Z

367

Cost analysis of energy storage systems for electric utility applications  

DOE Green Energy (OSTI)

Under the sponsorship of the Department of Energy, Office of Utility Technologies, the Energy Storage System Analysis and Development Department at Sandia National Laboratories (SNL) conducted a cost analysis of energy storage systems for electric utility applications. The scope of the study included the analysis of costs for existing and planned battery, SMES, and flywheel energy storage systems. The analysis also identified the potential for cost reduction of key components.

Akhil, A. [Sandia National Lab., Albuquerque, NM (United States); Swaminathan, S.; Sen, R.K. [R.K. Sen & Associates, Inc., Bethesda, MD (United States)

1997-02-01T23:59:59.000Z

368

Extending and automating a systems-theoretic hazard analysis for requirements generation and analysis  

E-Print Network (OSTI)

Systems Theoretic Process Analysis (STPA) is a powerful new hazard analysis method designed to go beyond traditional safety techniques-such as Fault Tree Analysis (FTA)-that overlook important causes of accidents like ...

Thomas, John P., IV

2013-01-01T23:59:59.000Z

369

The Feasibility Analysis of a New Air-Conditioning System  

Science Conference Proceedings (OSTI)

This paper presents a new modular solar refrigeration and liquid desiccant air conditioning system composed by adsorption refrigeration system, liquid desiccant system and roof cold radiation. The feasibility and beneficial of this new system are analyzed ... Keywords: liquid desiccant, modular solar refrigeration, new air conditioning system, roof cold radiation, technical and economic feasibility analysis

Jinggang Wang; Meixia Du; Xiaoxia Gao; Jin Zhao; Zhenjiang Yin; Yi Man

2009-12-01T23:59:59.000Z

370

Systems code development and analysis for ETR-class concepts  

SciTech Connect

Viewgraphs are presented that describe the following topics: (1) scope of ETR/TIBER/INTOR systems analysis, (2) general structure of a flexible systems code, (3) example of modules: MHD EQ. plus PF coils, (4) preliminary results on TIBER-II test run case, and (5) anticipated contribution of systems analysis. (MOW)

Peng, M.

1986-01-01T23:59:59.000Z

371

Analysis and design of power conditioning systems  

E-Print Network (OSTI)

A combination of high prices of fossil fuels and the increased awareness of their negative environmental impact has influenced the development of new cleaner energy sources. Among various viable technologies, fuel cells have emerged as one of the most promising sources for both portable and stationary applications. Fuel cell stacks produce DC voltage with a 2:1 variation in output voltage from no load to full load conditions. Hence, to increase the utilization efficiency and system stability, a power conditioner consisting of DC-DC and DC-AC converters is required for load interface. The design of power conditioners is driven by the application. This dissertation presents several different solutions for applications ranging from low-power portable sources for small electronics and laptop computers to megawatt-power applications for fuel cell power plants. The design and analysis for each power conditioner is presented in detail and the performance is verified using simulations and prototypes. Special consideration is given to the role of supercapacitors who act as the additional energy storage elements. It is shown that the supercapacitor connected at the terminals of a fuel cell can contribute to increased steady state stability when powering constant power loads, improved transient stability against load transients, and increased fuel efficiency (i.e. reduced hydrogen consumption).

Harfman Todorovic, Maja

2008-05-01T23:59:59.000Z

372

Analysis and control of distributed cooperative systems.  

Science Conference Proceedings (OSTI)

As part of DARPA Information Processing Technology Office (IPTO) Software for Distributed Robotics (SDR) Program, Sandia National Laboratories has developed analysis and control software for coordinating tens to thousands of autonomous cooperative robotic agents (primarily unmanned ground vehicles) performing military operations such as reconnaissance, surveillance and target acquisition; countermine and explosive ordnance disposal; force protection and physical security; and logistics support. Due to the nature of these applications, the control techniques must be distributed, and they must not rely on high bandwidth communication between agents. At the same time, a single soldier must easily direct these large-scale systems. Finally, the control techniques must be provably convergent so as not to cause undo harm to civilians. In this project, provably convergent, moderate communication bandwidth, distributed control algorithms have been developed that can be regulated by a single soldier. We have simulated in great detail the control of low numbers of vehicles (up to 20) navigating throughout a building, and we have simulated in lesser detail the control of larger numbers of vehicles (up to 1000) trying to locate several targets in a large outdoor facility. Finally, we have experimentally validated the resulting control algorithms on smaller numbers of autonomous vehicles.

Feddema, John Todd; Parker, Eric Paul; Wagner, John S.; Schoenwald, David Alan

2004-09-01T23:59:59.000Z

373

Energy System Analysis at SINTEF Energy Research  

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

1989. His main areas of work include distributed energy systems, energy system planning, operation and control, ancillary services, frequency and power control, and power flow...

374

Mathematical Analysis of a Geothermal System.  

E-Print Network (OSTI)

??The issue being examined is to design a more economical and efficient therefore superior geothermal system than currently in use in industry. Current geothermal systems… (more)

Erceg, Ivan P.

2008-01-01T23:59:59.000Z

375

Improving Incremental Balance in the GSI 3DVAR Analysis System  

Science Conference Proceedings (OSTI)

The gridpoint statistical interpolation (GSI) analysis system is a unified global/regional three-dimensional variational data assimilation (3DVAR) analysis code that has been under development for several years at the National Centers for ...

Daryl T. Kleist; David F. Parrish; John C. Derber; Russ Treadon; Ronald M. Errico; Runhua Yang

2009-03-01T23:59:59.000Z

376

Policy Analysis Modeling System (PAMS) | Open Energy Information  

Open Energy Info (EERE)

Analysis Modeling System (PAMS) Analysis Modeling System (PAMS) (Redirected from Policy Analysis Modeling System) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Analysis Modeling System Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Spreadsheet Website: clasponline.org/ResourcesTools/Tools/PolicyAnalysisModelingSystem Equivalent URI: cleanenergysolutions.org/content/policy-analysis-modeling-system-pams Regulations: "Appliance & Equipment Standards and Required Labeling,Net Metering & Interconnection" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

377

Safety Analysis Of Automated Highway Systems  

E-Print Network (OSTI)

hazard analysis of process-control software requirements. In contrast, the analyst does not have a tool

Leveson, Nancy G.

1997-01-01T23:59:59.000Z

378

Energy Policy and System Analysis - Center for Transportation...  

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

Energy Policy & System Analysis Technology roadmapping; Workforce development and green jobs; Database of State Incentives for Renewables & Efficiency (DSIRE); enabling physical...

379

Analysis of Multi-terminal HVDC Systems Harold Kirkham Pacific...  

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

Analysis of Multi-terminal HVDC Systems Harold Kirkham Pacific Northwest National Laboratory harold.kirkham@pnnl.gov 2728 June 2013 Washington, DC DOEOE Transmission Reliability...

380

Supplement Analysis for the Transmission System Vegetation Management...  

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

ATTN OF: KEP-4 SUBJECT: Supplement Analysis for the Transmission System Vegetation Management Program FEIS (DOEEIS-0285SA-21) Joe Johnson - TFSKalispell - Natural Resource...

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


381

Numerical analysis of (s, S) inventory systems with repeated attempts  

Science Conference Proceedings (OSTI)

Abstract This paper deals with a continuous review (s, S) inventory system ... The stochastic modeling and performance analysis of inventory models form an ...

382

JPL Tropical Cyclone Information System Analysis Tool | Data...  

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

JPL Tropical Cyclone Information System Analysis Tool Dataset Summary Description This tool will let you analyze data associated with a storm. You can plot histograms, maps, and...

383

post-pareto analysis for multiobjective parabolic control systems  

E-Print Network (OSTI)

Jul 29, 2012 ... POST-PARETO ANALYSIS FOR MULTIOBJECTIVE PARABOLIC CONTROL SYSTEMS. Henri Bonnel (bonnel ***at*** univ-nc.nc). Abstract: In ...

384

System and method for normalizing data for analysis of search ...  

System and method for normalizing data for analysis of search results. Note: The technology described above is an early stage opportunity. Licensing ...

385

..&rrbt, Chief, Industrial Hy&na Branch, HerlthbrSas8byLaboratoly  

Office of Legacy Management (LM)

tf..@ tf..@ ..&rrbt, Chief, Industrial Hy&na Branch, HerlthbrSas8byLaboratoly ;,.; , ' 1 ' @@w-w 3, 1954 P. B. Klevin, Indurtrial Hygiexn J5rantah, Barrlei &'afelky Lab0raM~ : . .A , 3 t :;p,: . NATIONAL LEiD OF OHIO ROLLINO OFERATIONS AT SIHONr>s SAW 6 STEEL- Amm', +I& y9, <: '.. SmBoLt HSHtPBK ' -: - St. Louis Area Office at the Simnds Saw and Steel Co., k&port, NJ., on tha &boVe clrtm, I oblruloed tb Mat;Lonal Uad umu&m and thorium roll- ing operations which were In pogress at the 16" and 10" mills respectively. Althm& hhls+urV8y w&d: ma& wltbout Qte dlx' aet request of the National Lead Co., I am reporting the results for your information. At the W aill whem 38 fh&m ingots were r&lad into lmgthaned rods,

386

Sensitivity Analysis of Limit-Cycle Oscillating Hybrid Systems  

E-Print Network (OSTI)

A theory is developed for local, first-order sensitivity analysis of limit-cycle oscillating hybrid systems, which are dynamical systems exhibiting both continuous-state and discrete-state dynamics whose state trajectories ...

Khan, Kamil A.

387

Nuclear Systems Modeling and Design Analysis - Nuclear Engineering Division  

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

Nuclear Systems Nuclear Systems Modeling and Design Analysis CAPABILITIES Overview Nuclear Systems Modeling and Design Analysis Nuclear Systems Technologies Risk and Safety Assessments Nonproliferation and National Security Materials Testing Engineering Computation & Design Engineering Experimentation Work with Argonne Contact us For Employees Site Map Help Join us on Facebook Follow us on Twitter NE on Flickr Celebrating the 70th Anniversary of Chicago Pile 1 (CP-1) Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Capabilities Nuclear Systems Modeling and Design Analysis Bookmark and Share Reactor Physics and Fuel Cycle Analysis Reactor Physics and Fuel Cycle Analysis We have played a major role in the design and analysis of most existing and past reactor types and of many

388

DOE Hydrogen Analysis Repository: Distributed Hydrogen Fueling Systems  

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

Distributed Hydrogen Fueling Systems Analysis Distributed Hydrogen Fueling Systems Analysis Project Summary Full Title: H2 Production Infrastructure Analysis - Task 1: Distributed Hydrogen Fueling Systems Analysis Project ID: 78 Principal Investigator: Brian James Keywords: Hydrogen infrastructure; costs; methanol; hydrogen fueling Purpose As the DOE considers both direct hydrogen and reformer-based fuel cell vehicles, it is vital to have a clear perspective of the relative infrastructure costs to supply each prospective fuel (gasoline, methanol, or hydrogen). Consequently, this analysis compares these infrastructure costs as well as the cost to remove sulfur from gasoline (as will most likely be required for use in fuel cell systems) and the cost implications for several hydrogen tank filling options. This analysis supports Analysis

389

Planning and Systems Analysis - Center for Transportation Analysis  

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

traffic congestion. ORNL has extensive expertise in developing and applying spatial decision support systems to such traffic forecasting and associated infrastructure investment...

390

FCT Systems Analysis: DOE 2010-2025 Scenario Analysis Meeting...  

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

The U.S. Department of Energy sponsored a 2010-2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure Meeting in Washington, DC, on August 9-10, 2006. The...

391

FCT Systems Analysis: DOE 2010-2025 Scenario Analysis Meeting...  

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

The U.S. Department of Energy sponsored a 2010-2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure Meeting in Washington, DC, on January 31, 2007. This third...

392

FAQS Gap Analysis Qualification Card – Mechanical Systems  

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

Functional Area Qualification Standard Gap Analysis Qualification Cards outline the differences between the last and latest version of the FAQ Standard.

393

Genome Analysis and Systems Modeling Group  

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

(Microbial Genomes) Pipeline, Comprehensive Genome Analysis Pipeline Genome Channel, Java applet for the comprehensive sequence-based view of genomes. Grail, a tool for the...

394

Availability analysis of blade server systems  

Science Conference Proceedings (OSTI)

The successful development and marketing of commercial high-availability systems requires the ability to evaluate the availability of systems. Specifically, one should be able to demonstrate that projected customer requirements are met, to identify availability ...

W. E. Smith; K. S. Trivedi; L. A. Tomek; J. Ackaret

2008-10-01T23:59:59.000Z

395

An analysis of distributed solar fuel systems  

E-Print Network (OSTI)

While solar fuel systems offer tremendous potential to address global clean energy needs, most existing analyses have focused on the feasibility of large centralized systems and applications. Not much research exists on ...

Thomas, Alex, S.M. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

396

Economical analysis of SOFC system for power production  

Science Conference Proceedings (OSTI)

A comprehensive economic analysis of solid oxide fuel cell (SOFC) systems is presented in this paper. The analyzed system consists of a desulphurization system, a pre-reforming reactor, a fuel cell stack, an afterburner, heat exchangers, a power converter, ... Keywords: SOFC system, biofuels, biomasses, renewable energy

Andrea Colantoni; Menghini Giuseppina; Marco Buccarella; Sirio Cividino; Michela Vello

2007-06-01T23:59:59.000Z

397

A generic multi-attribute analysis system  

Science Conference Proceedings (OSTI)

This paper describes a generic decision support system based on an additive multiattribute utility model that is intended to allay many of the operational difficulties involved in the multicriteria decision-making process. The system accounts for uncertainty ... Keywords: Additive multiattribute utility function, Decision support system, Incomplete information, Monte Carlo simulation techniques

Antonio Jiménez; Sixto Ríos-Insua; Alfonso Mateos

2006-04-01T23:59:59.000Z

398

Predictive Analysis of Mission Critical Systems Dependability  

Science Conference Proceedings (OSTI)

This paper describes the analysis of dependability and predictive reliability. The proposed methodology is based on hierarchical models and the generally acclaimed standard MIL-HDBK 217F. The equipment is a real component of the railway interlocking ... Keywords: dependebility computation, FMEA/FMECA, railway signalling equipment, predictive analysis, hierarchical model, SHAMAP

Martin Danhel, Hana Kubátová, Radek Dobiá?

2013-09-01T23:59:59.000Z

399

Cyber Effects Analysis Using VCSE Promoting Control System Reliability |  

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

Cyber Effects Analysis Using VCSE Promoting Control System Cyber Effects Analysis Using VCSE Promoting Control System Reliability Cyber Effects Analysis Using VCSE Promoting Control System Reliability This report describes the Virtual Control System Environment (VCSE) technology- developed at Sandia National Laboratories-to investigate Supervisory Control And Data Acquisition (SCADA) vulnerabilities associated with energy systems; and it describes a set of experiments with findings from using that environment. The report explains how VCSE can be used to analyze and develop an understanding of cyber attacks. Specific analyses in this report focus on unencrypted, unsecured data channels on Internet protocol (IP)-routed computer networks within electric power systems. Cyber Effects Analysis Using VCSE Promoting Control System Reliability

400

Steady State Analysis of an induction generator infinite bus system  

E-Print Network (OSTI)

analysis of grid connected wind energy conver- sion systems employing induction generators, one1 Steady State Analysis of an induction generator infinite bus system Rajesh G Kavasseri Department of Electrical and Computer Engineering North Dakota State University, Fargo, ND 58105 - 5285, USA (email: rajesh

Kavasseri, Rajesh

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


401

Multilevel splitting for reachability analysis of stochastic hybrid systems  

Science Conference Proceedings (OSTI)

Biochemical research is increasingly using formal modeling, simulation, and analysis methods to improve the understanding of complex systems. Probabilistic analysis techniques such as Monte Carlo methods can be used to determine reachability or safety ... Keywords: Monte Carlo, stochastic hybrid systems, variance reduction

Derek Riley; Xenofon Koutsoukos; Kasandra Riley

2010-07-01T23:59:59.000Z

402

Expert system development for vibration analysis in machine condition monitoring  

Science Conference Proceedings (OSTI)

Expert systems can be adapted for machine condition monitoring data interpretation due to the ability to identify systematic reasoning processes. As vibration analysis in condition monitoring is still generally performed by highly trained professionals, ... Keywords: Condition monitoring, Expert system, Vibration analysis

Stephan Ebersbach; Zhongxiao Peng

2008-01-01T23:59:59.000Z

403

Validating an imaging and analysis system for assessing torso deformities  

Science Conference Proceedings (OSTI)

We present the results of the numeric and functional validation of an imaging and analysis system used for assessing human torsos for deformities such as scoliosis. The system comprises of image acquisition, image reconstruction, and shape analysis components. ... Keywords: 3D surface measurement, Laser digitizer, Non-invasive measurement, Scoliosis, Torso imaging, Trunk asymmetry

Peter O. Ajemba; Nelson G. Durdle; Doug L. Hill; V. James Raso

2008-03-01T23:59:59.000Z

404

Fan Foundation Systems--Analysis and Design Guidelines  

Science Conference Proceedings (OSTI)

Dynamic analysis is the most effective tool for determining the root causes of excessive fan vibration. This study demonstrated the importance of using such analysis in conjunction with a "total systems" approach that considers how the properties of all major fan system components, including foundation, piles, and soil conditions, contribute to vibration.

1986-08-19T23:59:59.000Z

405

Energy Technology Systems Analysis Program (MARKAL) | Open Energy  

Open Energy Info (EERE)

Energy Technology Systems Analysis Program (MARKAL) Energy Technology Systems Analysis Program (MARKAL) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Technology Systems Analysis Program (MARKAL) Agency/Company /Organization: International Energy Agency Sector: Energy Topics: Co-benefits assessment, Pathways analysis, Policies/deployment programs Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.etsap.org/index.asp Country: Belgium, Canada, Denmark, Finland, France, Germany, Greece, Italy, Japan, South Korea, Netherlands, Norway, Sweden, United States, United Kingdom, Switzerland, Albania, Australia, Austria, Bosnia and Herzegovina, Brazil, Bulgaria, Colombia, Croatia, India, Indonesia, Kazakhstan, Malaysia, New Zealand, China, Philippines, Poland, Portugal, South Africa, Romania, Serbia, Spain, Taiwan, Thailand, Vietnam

406

ANALYSIS OF DEDICATED OUTDOOR AIR SYSTEMS FOR ...  

Science Conference Proceedings (OSTI)

... Baseline: The baseline system modeled included Water Source Heat Pumps (WSHPs) with a Cooling Tower and a Boiler serving the common loop. ...

407

Business Systems Analysis.:. Lawrence Berkeley National Laboratory  

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

Training Travel Office Business Systems Search: Go Fiscal Year End Close Wiki Cyber Security Contact Us spacer BSA Home OCFO Home Send Feedback Page Last Updated 61112...

408

An analysis of DC distribution systems .  

E-Print Network (OSTI)

??The Master's Thesis research focuses on analyzing the possibilities of using Direct Current distribution systems to distribute power to end users. Considering the shift in… (more)

Ajitkumar, Rohit

2011-01-01T23:59:59.000Z

409

Data System Sciences & Engineering Group - Risk Analysis  

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

Knowledge Center as a Content Delivery System Operationalizing Explosives Safety (Factsheet) Scepter Integrates Disparate Data Sources Fallout Planning Tool SCIPUFF Server...

410

Policy Analysis Modeling System (PAMS) | Open Energy Information  

Open Energy Info (EERE)

Policy Analysis Modeling System (PAMS) Policy Analysis Modeling System (PAMS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Analysis Modeling System Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Spreadsheet Website: clasponline.org/ResourcesTools/Tools/PolicyAnalysisModelingSystem Equivalent URI: cleanenergysolutions.org/content/policy-analysis-modeling-system-pams Regulations: "Appliance & Equipment Standards and Required Labeling,Net Metering & Interconnection" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

411

Hydrogen Storage Systems Analysis Working Group Meeting: Summary Report  

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

Hydrogen Storage Systems Analysis Working Group Meeting Hydrogen Storage Systems Analysis Working Group Meeting Argonne DC Offices L'Enfant Plaza, Washington, DC December 4, 2007 SUMMARY REPORT Compiled by Romesh Kumar Argonne National Laboratory and Kristin Deason Sentech, Inc. January 16, 2008 SUMMARY REPORT Hydrogen Storage Systems Analysis Working Group Meeting December 4, 2007 Argonne DC Offices, L'Enfant Plaza, Washington, DC Meeting Objectives This meeting was one of a continuing series of biannual meetings of the Hydrogen Storage Systems Analysis Working Group (SSAWG). The objective of these meetings is to bring together the DOE research community involved in systems analysis of hydrogen storage materials and processes for information exchange and to update the researchers on related developments within the DOE program. A major thrust of these meetings is to leverage

412

Failure Analysis of Digital Instrumentation and Control Equipment and Systems  

Science Conference Proceedings (OSTI)

This interim report documents an investigation of digital system failure analysis techniques that may be of use in improving the effectiveness and efficiency of currently applied techniques. The study considered both top-down approaches, such as fault tree analysis, and bottom-up approaches, such as failure modes and effects analysis (FMEA), applying them to realistic examples to assess their potential value.

2011-12-21T23:59:59.000Z

413

A systems approach to food accident analysis  

E-Print Network (OSTI)

Food borne illnesses lead to 3000 deaths per year in the United States. Some industries, such as aviation, have made great strides increasing safety through careful accident analysis leading to changes in industry practices. ...

Helferich, John D

2011-01-01T23:59:59.000Z

414

Forensic analysis of SCADA systems and networks  

Science Conference Proceedings (OSTI)

Supervisory Control and Data Acquisition (SCADA) systems are commonly used to automate and control industrial processes. Modern SCADA protocols leverage TCP/IP to transport sensor data and control signals. Also, corporate IT infrastructures ... Keywords: DCSs, Modbus, SCADA, data acquisition, distributed control systems, industrial environments, inforensics, network forensics, network monitoring, process monitoring, security, supervisory control

T. Kilpatrick; J. Gonzalez; R. Chandia; M. Papa; S. Shenoi

2008-02-01T23:59:59.000Z

415

Route profile analysis system and method  

DOE Patents (OSTI)

A system for recording terrain profile information is disclosed. The system accurately senses incremental distances traveled by a vehicle along with vehicle inclination, recording both with elapsed time. The incremental distances can subsequently be differentiated with respect to time to obtain acceleration. The computer acceleration can then be used to correct the sensed inclination.

Mullenhoff, D.J.; Wilson, S.W.

1982-07-29T23:59:59.000Z

416

Formal concept analysis and lattice-valued Chu systems  

Science Conference Proceedings (OSTI)

This paper links formal concept analysis (FCA) both to order-theoretic developments in the theory of Galois connections and to Chu spaces or systems viewed as a common rubric for both topological systems and systems arising from predicate transformers ... Keywords: (L-)Chu system, (L-)Topological system, (L-)formal context interchange, Formal (L-)concept/( L-)preconcept/(L-)protoconcept, Formal (L-)context, Galois connection

Jeffrey T. Denniston; Austin Melton; Stephen E. Rodabaugh

2013-04-01T23:59:59.000Z

417

Evaluating Message Understanding Systems: An Analysis of . . .  

E-Print Network (OSTI)

This paper describes and analyzes the results of the Third Message Understanding Conference (MUC-3). It reviews the purpose, history, and methodology of the conference, summarizes the participating systems, discusses issues of measuring system effectiveness, describes the linguistic phenomena tests, and provides a critical look at the evaluation in terms of the lessons learned. One of the common problems with evaluations is that the statistical significance of the results is unknown. In the discussion of system performance, the statistical significance of the evaluation results is reported and the use of approximate randomization to calculate the statistical significance of the results of MUC-3 is described

Nancy Chinchor; Lynette Hirschman; David D. Lewis

1993-01-01T23:59:59.000Z

418

Design and analysis of reconfigurable analog system  

E-Print Network (OSTI)

A highly-configurable analog system is presented. A prototype chip is fabricated and an ADC and filter functionalities are demonstrated. The chip consists of eight identical programmable stages. In an ADC configuration, ...

Lajevardi, Payam

2011-01-01T23:59:59.000Z

419

Commonality analysis for exploration life support systems  

E-Print Network (OSTI)

Commonality, defined practically as the use of similar technologies to deliver similar functions across a range of different complex systems, offers opportunities to improve the lifecycle costs of portfolios of complex ...

Cunio, Phillip M

2008-01-01T23:59:59.000Z

420

Analysis of Hybrid Hydrogen Systems: Final Report  

DOE Green Energy (OSTI)

Report on biomass pathways for hydrogen production and how they can be hybridized to support renewable electricity generation. Two hybrid systems were studied in detail for process feasibility and economic performance. The best-performing system was estimated to produce hydrogen at costs ($1.67/kg) within Department of Energy targets ($2.10/kg) for central biomass-derived hydrogen production while also providing value-added energy services to the electric grid.

Dean, J.; Braun, R.; Munoz, D.; Penev, M.; Kinchin, C.

2010-01-01T23:59:59.000Z

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


421

Analysis of solar desiccant systems and concepts  

DOE Green Energy (OSTI)

A new approach to modeling desiccant systems has been developed. Computer programs for predicting the performance silica gel beds in single-blow situations and in cyclically operating desiccant cooling systems have been written (DESSIM). The single-blow model has been validated and shows excellent agreement with experimental data from SERI's desiccant test lab. Experimental data published by Koh are shown along with the corresponding prediction using DESSIM.

Barlow, R.

1981-05-01T23:59:59.000Z

422

Nonlinear analysis of a reaction-diffusion system: Amplitude equations  

Science Conference Proceedings (OSTI)

A reaction-diffusion system with a nonlinear diffusion term is considered. Based on nonlinear analysis, the amplitude equations are obtained in the cases of the Hopf and Turing instabilities in the system. Turing pattern-forming regions in the parameter space are determined for supercritical and subcritical instabilities in a two-component reaction-diffusion system.

Zemskov, E. P., E-mail: zemskov@ccas.ru [Russian Academy of Sciences, Dorodnicyn Computing Center (Russian Federation)

2012-10-15T23:59:59.000Z

423

SIMS prototype System 3 test results: engineering analysis  

DOE Green Energy (OSTI)

The results obtained during testing of a closed hydronic drain down solar system designed for space and hot water heating are presented. Data analysis is included which documents the system performance and verifies the suitability of SIMS Prototype System 3 for field installation.

Not Available

1978-08-01T23:59:59.000Z

424

Integration of induction generator dynamics in multimachine system transient analysis  

Science Conference Proceedings (OSTI)

The impact of electrical transients of asynchronous wind generators on the synchronous generators is often ignored to keep the analysis of multimachine systems simple. A steady drift of slip from the nominal value, while of no consequence from power ... Keywords: dynamic modeling of wind systems, induction generator, power system, wind generation

A. H. M. A. Rahim; E. P. Nowicki

2010-07-01T23:59:59.000Z

425

Geothermal Resource Analysis and Structure of Basin and Range Systems,  

Open Energy Info (EERE)

Analysis and Structure of Basin and Range Systems, Analysis and Structure of Basin and Range Systems, Especially Dixie Valley Geothermal Field, Nevada Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Geothermal Resource Analysis and Structure of Basin and Range Systems, Especially Dixie Valley Geothermal Field, Nevada Authors David D. Blackwell, Kenneth W. Wisian, Maria C. Richards, Mark Leidig, Richard Smith and Jason McKenna Published U.S. Department of Energy, 2003 DOI Not Provided Check for DOI availability: http://crossref.org Online Internet link for Geothermal Resource Analysis and Structure of Basin and Range Systems, Especially Dixie Valley Geothermal Field, Nevada Citation David D. Blackwell,Kenneth W. Wisian,Maria C. Richards,Mark Leidig,Richard Smith,Jason McKenna. 2003. Geothermal Resource Analysis and Structure of

426

Analysis of costs-benefits tradeoffs of complex security systems  

SciTech Connect

Essential to a systems approach to design of security systems is an analysis of the cost effectiveness of alternative designs. While the concept of analysis of costs and benefits is straightforward, implementation can be at the least tedious and, for complex designs and alternatives, can become nearly intractable without the help of structured analysis tools. PACAIT--Performance and Cost Analysis Integrated Tools--is a prototype tool. The performance side of the analysis collates and reduces data from ASSESS, and existing DOE PC-based security systems performance analysis tool. The costs side of the analysis uses ACE, an existing DOD PC-based costs analysis tool. Costs are reported over the full life-cycle of the system, that is, the costs to procure, operate, maintain and retire the system and all of its components. Results are collected in Microsoft{reg_sign} Excel workbooks and are readily available to analysts and decision makers in both tabular and graphical formats and at both the system and path-element levels.

Hicks, M.J. [Sandia National Labs., Albuquerque, NM (United States). Security Systems Analysis and Development Dept.

1996-12-31T23:59:59.000Z

427

Towards network containment in malware analysis systems  

Science Conference Proceedings (OSTI)

This paper focuses on the containment and control of the network interaction generated by malware samples in dynamic analysis environments. A currently unsolved problem consists in the existing dependency between the execution of a malware sample and ... Keywords: malware containment, network traffic replay, protocol learning

Mariano Graziano; Corrado Leita; Davide Balzarotti

2012-12-01T23:59:59.000Z

428

Vehicle Transient Air Conditioning Analysis: Model Development& System Optimization Investigations  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has developed a transient air conditioning (A/C) system model using SINDA/FLUINT analysis software. It captures all the relevant physics of transient A/C system performance, including two-phase flow effects in the evaporator and condenser, system mass effects, air side heat transfer on the condenser/evaporator, vehicle speed effects, temperature-dependent properties, and integration with a simplified cabin thermal model. It has demonstrated robust and powerful system design optimization capabilities. Single-variable and multiple variable design optimizations have been performed and are presented. Various system performance parameters can be optimized, including system COP, cabin cool-down time, and system heat load capacity. This work presents this new transient A/C system analysis and optimization tool and shows some high-level system design conclusions reached to date. The work focuses on R-134a A/C systems, but future efforts will modify the model to investigate the transient performance of alternative refrigerant systems such as carbon dioxide systems. NREL is integrating its transient air conditioning model into NRELs ADVISOR vehicle system analysis software, with the objective of simultaneously optimizing A/C system designs within the overall vehicle design optimization.

Hendricks, T. J.

2001-06-01T23:59:59.000Z

429

Hydrogen Storage Systems Analysis Meeting: Summary Report, March 29, 2005  

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

Hydrogen Storage Systems Analysis Meeting Hydrogen Storage Systems Analysis Meeting 955 L'Enfant Plaza North, SW, Suite 6000 Washington, DC 20024-2168 March 29, 2005 SUMMARY REPORT Compiled by Romesh Kumar Argonne National Laboratory June 20, 2005 SUMMARY REPORT Hydrogen Storage Systems Analysis Meeting March 29, 2005 955 L'Enfant Plaza, North, SW, Suite 6000 Washington, DC 20024-2168 Meeting Objectives The objective of this meeting was to familiarize the DOE research community involved in hydrogen storage materials and process development with the systems analysis work being carried out within the DOE program. In particular, Argonne National Laboratory (ANL) has been tasked to develop models of on-board and off-board hydrogen storage systems based on the various materials and technologies being developed at the DOE Centers of Excellence and

430

Modeling and analysis of energy conversion systems  

DOE Green Energy (OSTI)

An investigation was conducted to assess the need for and the feasibility of developing a computer code that could model thermodynamic systems and predict the performance of energy conversion systems. To assess the market need for this code, representatives of a few industrial organizations were contacted, including manufacturers, system and component designers, and research personnel. Researchers and small manufacturers, designers, and installers were very interested in the possibility of using the proposed code. However, large companies were satisfied with the existing codes that they have developed for their own use. Also, a survey was conduced of available codes that could be used or possibly modified for the desired purpose. The codes were evaluated with respect to a list of desirable features, which was prepared as a result of the survey. A few publicly available codes were found that might be suitable. The development, verification, and maintenance of such a code would require a substantial, ongoing effort. 21 refs.

Den Braven, K.R. (Idaho Univ., Moscow, ID (USA). Dept. of Mechanical Engineering); Stanger, S. (EG and G Idaho, Inc., Idaho Falls, ID (USA))

1990-10-01T23:59:59.000Z

431

Hydrogen Storage Systems Analysis Working Group Meeting: Summary Report  

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

Held in Conjunction with the DOE Hydrogen Program Annual Merit Review Crystal Gateway Marriott, Arlington, VA June 11, 2008 SUMMARY REPORT Compiled by Romesh Kumar Argonne National Laboratory and Elvin Yzugullu Sentech, Inc. July 18, 2008 SUMMARY REPORT Hydrogen Storage Systems Analysis Working Group Meeting June 11, 2008 Crystal Gateway Marriott, Arlington, VA Meeting Objectives This meeting was one of a continuing series of biannual meetings of the Hydrogen Storage Systems Analysis Working Group (SSAWG). The objective of these meetings is to bring together the DOE research community involved in systems analysis of hydrogen storage materials and processes for information exchange and to update the researchers on related

432

An Assessment of Economic Analysis Methods for Cogeneration Systems  

E-Print Network (OSTI)

Cogeneration feasibility studies were conducted for eleven state agencies of Texas. A net present value (NPV) analysis was used to evaluate candidate cogeneration systems and select the optimum system. CELCAP, an hour-by-hour cogeneration analysis computer program was used to determine the costs used in the NPV analysis. The results of the studies showed that the state could save over $6,000,000 per year in reduced utility bills. Different methods of analyzing the economic performance of a cogeneration system are presented for comparison. Other implications of the study are also discussed.

Bolander, J. N.; Murphy, W. E.; Turner, W. D.

1985-01-01T23:59:59.000Z

433

EM threat analysis for wireless systems.  

SciTech Connect

Modern digital radio systems are complex and must be carefully designed, especially when expected to operate in harsh propagation environments. The ability to accurately predict the effects of propagation on wireless radio performance could lead to more efficient radio designs as well as the ability to perform vulnerability analyses before and after system deployment. In this report, the authors--experts in electromagnetic (EM) modeling and wireless communication theory--describe the construction of a simulation environment that is capable of quantifying the effects of wireless propagation on the performance of digital communication.

Burkholder, R. J. (Ohio State University Electroscience Laboratory); Mariano, Robert J.; Schniter, P. (Ohio State University Electroscience Laboratory); Gupta, I. J. (Ohio State University Electroscience Laboratory)

2006-06-01T23:59:59.000Z

434

Thermodynamic Analysis of Combined Cycle District Heating System  

E-Print Network (OSTI)

This paper presents a thermodynamic analysis of the University of Massachusetts' Combined Heat and Power (CHP) District Heating System. Energy and exergy analyses are performed based on the first and second laws of thermodynamics for power generation systems that include a 10 MW Solar combustion gas turbine, a 4-MW steam turbine, a 100,000 pph heat recovery steam generator (HRSG), three 125,000 pph package boilers, and auxiliary equipment. In the analysis, actual system data is used to assess the district heating system performance, energy and exergy efficiencies, exergetic improvement potential and exergy losses. Energy and exergy calculations are conducted for the whole year on an hourly basis. System efficiencies are calculated for a wide range of component operating loads. The results show how thermodynamic analysis can be used to identify the magnitudes and location of energy losses in order to improve the existing system, processes or components.

Suresh, S.; Gopalakrishnan, H.; Kosanovic, D.

2011-01-01T23:59:59.000Z

435

Analysis of Fuel Cell Systems Rangan Banerjee  

E-Print Network (OSTI)

/Truck) Primary energy source Vehicle (On-board storage and utilization) Hydrogen production centre (Production Renewable Hydrogen #12;Energy Crisis Present energy systems ­ fossil fuel based (~80%) Finite fossil fuel Concentrations #12;Hydrogen Energy Can hydrogen energy mitigate the energy problem? How does the hydrogen energy

Banerjee, Rangan

436

Power Systems Analysis ELEN4511 Spring 2013  

E-Print Network (OSTI)

infrastructure overlay: #12;Image from `Industrial Power Distribution:Introduction http://www.industrial-electricity of the communications systems overlay is to enable communication between grid nodes for Supervision, Control and Data for the Power Grid by Bukhosi Msimanga, EE `13 Abstract Before the advent of communication technology

Lavaei, Javad

437

Harmonic analysis of electrical distribution systems  

SciTech Connect

This report presents data pertaining to research on harmonics of electric power distribution systems. Harmonic data is presented on RMS and average measurements for determination of harmonics in buildings; fluorescent ballast; variable frequency drive; georator geosine harmonic data; uninterruptible power supply; delta-wye transformer; westinghouse suresine; liebert datawave; and active injection mode filter data.

1996-03-01T23:59:59.000Z

438

Enhancing the systems decision process with flexibility analysis for optimal unmanned aircraft system selection  

E-Print Network (OSTI)

Systems Engineers often conduct decision analysis in order to provide decision makers with a quantifiable means to make decisions. However, the field of Systems Engineering is often criticized for focusing on processes and ...

Bachmann, Chris H., III (Christopher Henry)

2008-01-01T23:59:59.000Z

439

Mesoscale Surface Analysis System for the Australian Domain: Design Issues, Development Status, and System Validation  

Science Conference Proceedings (OSTI)

An operational surface analysis system for the continent of Australia is presented. The system is specifically designed to mitigate problems that arise when analyzing surface data with a highly inhomogeneous distribution. Hourly analyses of ...

Tomasz J. Glowacki; Yi Xiao; Peter Steinle

2012-02-01T23:59:59.000Z

440

Energy analysis of geothermal-electric systems  

DOE Green Energy (OSTI)

Standard energy analysis was applied to 4 types of geothermal-electric technologies: liquid dominated, hot dry rock, geopressure, and vapor dominated. It was found that all are net energy producers. Expected uncertainties are not large enough to threaten this conclusion. Vapor dominated, the only technology in current commercial use to produce electricity in the US, has the highest energy ratio (13 +- 4). These results for energy ratio are equal to or less than some from other workers. In the case of liquid dominated, environmental control technology has a considerable energy requirement.

Herendeen, R.A.; Plant, R.

1979-12-01T23:59:59.000Z

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


441

Building integrated photovoltaic systems analysis: Preliminary report  

SciTech Connect

The National Renewable Energy Laboratory (NREL) has estimated that the deployment of photovoltaics (PV) in the commercial buildings sector has the potential to contribute as much as 40 gigawatts peak electrical generation capacity and displace up to 1.1 quads of primary fuel use. A significant portion of this potential exists for smaller buildings under 25,000 square feet (2,300 square meters) in size or two stories or less, providing a strong cross over potential for residential applications as well. To begin to achieve this potential, research is needed to define the appropriate match of PV systems to energy end-uses in the commercial building sector. This report presents preliminary findings for a technical assessment of several alternative paths to integrate PV with building energy systems.

Not Available

1993-08-01T23:59:59.000Z

442

Big Data Visual Analytics for Exploratory Earth System Simulation Analysis  

SciTech Connect

Rapid increases in high performance computing are feeding the development of larger and more complex data sets in climate research, which sets the stage for so-called big data analysis challenges. However, conventional climate analysis techniques are inadequate in dealing with the complexities of today s data. In this paper, we describe and demonstrate a visual analytics system, called the Exploratory Data analysis ENvironment (EDEN), with specific application to the analysis of complex earth system simulation data sets. EDEN represents the type of interactive visual analysis tools that are necessary to transform data into insight, thereby improving critical comprehension of earth system processes. In addition to providing an overview of EDEN, we describe real-world studies using both point ensembles and global Community Land Model Version 4 (CLM4) simulations.

Steed, Chad A [ORNL; Ricciuto, Daniel M [ORNL; Shipman, Galen M [ORNL; Smith, Brian E [ORNL; Thornton, Peter E [ORNL; Wang, Dali [ORNL; Shi, Xiaoying [ORNL; Williams, Dean N. [Lawrence Livermore National Laboratory (LLNL)

2013-01-01T23:59:59.000Z

443

Hydrgoen Storage Systems Analysis Working Group Meeting Summary Report  

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

Systems Analysis Working Group Meeting Systems Analysis Working Group Meeting 2007 Hydrogen Program Annual Review Crystal Gateway Marriott, Arlington, VA May 17, 2007 SUMMARY REPORT Compiled by Romesh Kumar Argonne National Laboratory and Elvin Yuzugullu Sentech, Inc. June 28, 2007 SUMMARY REPORT Hydrogen Storage Systems Analysis Working Group Meeting May 17, 2007 Crystal Gateway Marriott, Arlington, VA Meeting Objectives This meeting was one of a continuing series of biannual meetings of this Working Group. The objective of these meetings is to bring together the DOE research community involved in systems analysis of hydrogen storage materials and processes for information exchange and to update the researchers on related developments within the DOE program. A major thrust of these meetings is to leverage expertise, complement related work of different individuals and

444

Microwave Plasma Monitoring System For Real-Time Elemental Analysis  

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

Microwave Plasma Monitoring System For Real-Time Elemental Analysis Microwave Plasma Monitoring System For Real-Time Elemental Analysis Microwave Plasma Monitoring System For Real-Time Elemental Analysis The invention apparatus can also be used to monitor for the presence of halogens, sulfur and silicon. Available for thumbnail of Feynman Center (505) 665-9090 Email Microwave Plasma Monitoring System For Real-Time Elemental Analysis There has been invented a process for analyzing ambient air in a microwave induced plasma without use of an additional carrier gas. There has also been invented an apparatus for analyzing ambient air, other sample gas, or nebulized and desolvated liquids wherein a novel arrangement of plasma gas and sample gas conduits is used to enhance dependability of the plasma. This apparatus embodiment of the invention has a concentric arrangement of

445

Office of Energy Policy and Systems Analysis | Department of Energy  

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

Office of Energy Policy and Systems Analysis Office of Energy Policy and Systems Analysis Revolution Now For four key clean energy technologies, the clean energy future has already arrived. Read more U.S. Energy Sector Vulnerabilities Report A Department of Energy report examines current and potential future impacts of these climate trends on the U.S. energy sector. Read more eGallon eGallon provides a quick and simple metric to allow electric vehicle (EV) drivers to see how much they can save on fuel. Read more EPSA Leadership Melanie A. Kenderdine Director of the Office of Energy Policy and Systems Analysis More about Melanie A. Kenderdine Jonathan Pershing Principal Deputy Director of the Office of Energy Policy and Systems Analysis More about Jonathan Pershing Mike Carr Senior Advisor and EERE Principal Deputy Assistant Secretary

446

Package Safety Analysis Assessment for Sludge Transportation System  

SciTech Connect

This package safety analysis assessment demonstrates that the Sludge Transportation System meets the acceptance criteria for an equivalent package as specified in DOE/RL-2001-36, Hanford Sitewide Transportation Safety Document for onsite shipment.

ROMANO, T.

2003-03-19T23:59:59.000Z

447

Fuel Cells Vehicle Systems Analysis (Fuel Cell Freeze Investigation)  

DOE Green Energy (OSTI)

Presentation on Fuel Cells Vehicle Systems Analysis (Fuel Cell Freeze Investigation) for the 2005 Hydrogen, Fuel Cells & Infrastructure Technologies Program Annual Review held in Arlington, Virginia on May 23-26, 2005.

Pesaran, A.; Kim, G.; Markel, T.; Wipke, K.

2005-05-01T23:59:59.000Z

448

Extending and automating a Systems-Theoretic hazard analysis for requirements generation and analysis.  

SciTech Connect

Systems Theoretic Process Analysis (STPA) is a powerful new hazard analysis method designed to go beyond traditional safety techniques - such as Fault Tree Analysis (FTA) - that overlook important causes of accidents like flawed requirements, dysfunctional component interactions, and software errors. While proving to be very effective on real systems, no formal structure has been defined for STPA and its application has been ad-hoc with no rigorous procedures or model-based design tools. This report defines a formal mathematical structure underlying STPA and describes a procedure for systematically performing an STPA analysis based on that structure. A method for using the results of the hazard analysis to generate formal safety-critical, model-based system and software requirements is also presented. Techniques to automate both the analysis and the requirements generation are introduced, as well as a method to detect conflicts between the safety and other functional model-based requirements during early development of the system.

Thomas, John (Massachusetts Institute of Technology)

2012-05-01T23:59:59.000Z

449

Flow Analysis on a Limited Volume Chilled Water System  

SciTech Connect

LANL Currently has a limited volume chilled water system for use in a glove box, but the system needs to be updated. Before we start building our new system, a flow analysis is needed to ensure that there are no high flow rates, extreme pressures, or any other hazards involved in the system. In this project the piping system is extremely important to us because it directly affects the overall design of the entire system. The primary components necessary for the chilled water piping system are shown in the design. They include the pipes themselves (perhaps of more than one diameter), the various fitting used to connect the individual pipes to form the desired system, the flow rate control devices (valves), and the pumps that add energy to the fluid. Even the most simple pipe systems are actually quite complex when they are viewed in terms of rigorous analytical considerations. I used an 'exact' analysis and dimensional analysis considerations combined with experimental results for this project. When 'real-world' effects are important (such as viscous effects in pipe flows), it is often difficult or impossible to use only theoretical methods to obtain the desired results. A judicious combination of experimental data with theoretical considerations and dimensional analysis are needed in order to reduce risks to an acceptable level.

Zheng, Lin [Los Alamos National Laboratory

2012-07-31T23:59:59.000Z

450

Hybrid rough sets intelligent system architecture for survival analysis  

Science Conference Proceedings (OSTI)

Survival analysis challenges researchers because of two issues. First, in practice, the studies do not span wide enough to collect all survival times of each individual patient. All of these patients require censor variables and cannot be analyzed without ... Keywords: Kaplan-Meier method, hybrid intelligent systems, reducts, rough sets, soft computing, survival analysis

Puntip Pattaraintakorn; Nick Cercone; Kanlaya Naruedomkul

2007-01-01T23:59:59.000Z

451

Analysis of technical loss in distribution line system  

Science Conference Proceedings (OSTI)

This research was aimed to present Technical loss analysis in Hatyai of Provincial Electricity Authority (PEA). This Analysis used calculation and PSS/Adept program. For considering the technical loss in distribution system included: transmission line ... Keywords: PSS/Adept program, technical loss, three phase power flow

Narong Mungkung; Nittaya Gomurut; Tanes Tanitteerapan; Somchai Arunrungrusmi; Weerachai Chaokumnerd; Toshifumi Yuji

2009-05-01T23:59:59.000Z

452

Analysis of village hybrid systems in Chile  

DOE Green Energy (OSTI)

Chile recently began a major rural electrification program to electrify those 240,000 families (about half of the rural people) who lack electricity access. In this paper, we discuss a pilot project to electrify three remote villages in Chile`s Region IX using wind/genset/battery hybrids. The intent of this project is to demonstrate the reliability and cost-effectiveness of wind/genset/battery hybrids and to encourage replication of these types of systems in Chile`s electrification program. For each village, electricity connections are planned for several residences, and also schools, health posts, community centers, or chapels. Projected average daily loads are small, ranging from 4 to 10 kWh. Using the optimization program HOMER and the simulation program Hybrid2, we evaluated options to maximize technical performance, minimize costs, and gain experience with a variety of systems and components. We find that wind/genset/battery hybrids will be able to provide cost-effective, reliable power for these sites. More importantly, their inherent flexibility allows for variations in load and resource without greatly affecting the cost of energy.

Lew, D J; Corbus, D; Holz, R [and others

1996-06-01T23:59:59.000Z

453

Why Systems Analysis for Energy Storage?  

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

Cost Effectiveness Evaluation, Cost Effectiveness Evaluation, DNV KEMA Modeling for CPUC Energy Storage Proceeding Energy Storage Panel, EAC Meeting June 6, 2013 Common Pitfalls  Using historical prices - Prices are likely to change due to rule modifications, changes in regulation supply resources over time, changes in regulation needs over time - Depending on the amount of storage added to the market, the introduction of storage can change market prices  Modeling deterministic behavior (perfect performance assuming knowledge of upcoming prices) - Future prices are unknown and actual revenues will likely not reflect strategy that gets maximum revenue 100% of the time  Ignoring system effects - In addition to affecting prices, certain amounts of storage can affect imports/exports

454

Function analysis for waste information systems  

Science Conference Proceedings (OSTI)

This study has a two-fold purpose. It seeks to identify the functional requirements of a waste tracking information system and to find feasible alternatives for meeting those requirements on the Oak Ridge Reservation (ORR) and the Portsmouth (PORTS) and Paducah (PGDP) facilities; identify options that offer potential cost savings to the US government and also show opportunities for improved efficiency and effectiveness in managing waste information; and, finally, to recommend a practical course of action that can be immediately initiated. In addition to identifying relevant requirements, it also identifies any existing requirements that are currently not being completely met. Another aim of this study is to carry out preliminary benchmarking by contacting representative companies about their strategic directions in waste information. The information obtained from representatives of these organizations is contained in an appendix to the document; a full benchmarking effort, however, is beyond the intended scope of this study.

Sexton, J.L.; Neal, C.T.; Heath, T.C.; Starling, C.D.

1996-04-01T23:59:59.000Z

455

HVAC system analysis: energy audit review  

SciTech Connect

Although most energy audits do not investigate HVAC systems in as much detail as would most design consultants, audit data can be most informative. For certain types of buildings, air-conditioning energy usage can be estimated by its absence from energy bills during winter months, and heating energy usage can be estimated by its absence from energy bills during the summer months. Cooling and heating energy usage can be even more accurately broken down when a fossil fuel is used for heating while electrical energy is used for cooling. It is easy to establish fairly accurate energy consumption estimates for lighting, fan motors, and pumps; this can be done by verifying their loads and multiplying them by known operating hours. The numerous notes contained in some energy audits may also provide ideas for retrofitting energy-consuming areas.

Harmon, K.S.

1983-01-01T23:59:59.000Z

456

Analysis of LNG peakshaving-facility release-prevention systems  

SciTech Connect

The purpose of this study is to provide an analysis of release prevention systems for a reference LNG peakshaving facility. An overview assessment of the reference peakshaving facility, which preceeded this effort, identified 14 release scenarios which are typical of the potential hazards involved in the operation of LNG peakshaving facilities. These scenarios formed the basis for this more detailed study. Failure modes and effects analysis and fault tree analysis were used to estimate the expected frequency of each release scenario for the reference peakshaving facility. In addition, the effectiveness of release prevention, release detection, and release control systems were evaluated.

Pelto, P.J.; Baker, E.G.; Powers, T.B.; Schreiber, A.M.; Hobbs, J.M.; Daling, P.M.

1982-05-01T23:59:59.000Z

457

FUEL SUPPLY SYSTEM ANALYSIS FOR ESF PACKAGE 1E  

SciTech Connect

The primary objective of this analysis is to capture new inputs relative to the design of the Fuel Supply System (FSS) at the Yucca Mountain Site Characterization Project (YMP) Exploratory Studies Facility (ESF). The new inputs are analyzed and changes to the Fuel Supply System are made as necessary.

D.F. Vanica

1995-06-14T23:59:59.000Z

458

Information-Theoretic Analysis of an Energy Harvesting Communication System  

E-Print Network (OSTI)

Information-Theoretic Analysis of an Energy Harvesting Communication System Omur Ozel Sennur Ulukus Department of Electrical and Computer Engineering University of Maryland, College Park, MD 20742 omur@umd.edu ulukus@umd.edu Abstract--In energy harvesting communication systems, an exogenous recharge process

Ulukus, Sennur

459

Risky trust: risk-based analysis of software systems  

Science Conference Proceedings (OSTI)

Measuring the security of a software system is a difficult problem. This paper presents a model using common security concepts to evaluate the security of a system under design. After providing definitions for all relevant concepts and formalizing some ... Keywords: distrust, risk analysis, trust

Zaid Dwaikat; Francesco Parisi-Presicce

2005-07-01T23:59:59.000Z

460

Algebraic analysis on asymptotic stability of continuous dynamical systems  

Science Conference Proceedings (OSTI)

In this paper we propose a mechanisable technique for asymptotic stability analysis of continuous dynamical systems. We start from linearizing a continuous dynamical system, solving the Lyapunov matrix equation and then check whether the solution is ... Keywords: lyapunov functions, lyapunov matrix equations, real root classification, semi-algebraic sets

Zhikun She; Bai Xue; Zhiming Zheng

2011-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis system sas" 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
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461

An analysis of computational workloads for the ORNL Jaguar system  

Science Conference Proceedings (OSTI)

This study presents an analysis of science application workloads for the Jaguar Cray XT5 system during its tenure as a 2.3 petaflop supercomputer at Oak Ridge National Laboratory. Jaguar was the first petascale system to be deployed for open science ... Keywords: applications, cray, exascale, hpc, metrics, ornl, petascale, scaling, science, workload

Wayne Joubert; Shi-Quan Su

2012-06-01T23:59:59.000Z

462

Plastic limit analysis of frames using ant colony systems  

Science Conference Proceedings (OSTI)

In recent years, heuristic algorithms such as simulated annealing, genetic and ant colony algorithms have found many applications in optimization problems. In this paper, ant colony systems (ACSs) are used to optimize the process of finding the collapse ... Keywords: Ant colony systems, Collapse load factor, Planar frames, Plastic limit analysis

A. Kaveh; M. Jahanshahi

2008-06-01T23:59:59.000Z

463

Frontiers of Performance Analysis on Leadership-Class Systems  

SciTech Connect

The number of cores in high-end systems for scientific computing are employing is increasing rapidly. As a result, there is an pressing need for tools that can measure, model, and diagnose performance problems in highly-parallel runs. We describe two tools that employ complementary approaches for analysis at scale and we illustrate their use on DOE leadership-class systems.

Fowler, R J; Adhianto, L; de Supinski, B R; Fagan, M; Gamblin, T; Krentel, M; Mellor-Crummey, J; Schulz, M; Tallent, N

2009-06-15T23:59:59.000Z

464

A SAS-macro for estimation of the cumulative incidence using Poisson regression  

Science Conference Proceedings (OSTI)

In survival analyses, we often estimate the hazard rate of a specific cause. Sometimes the main focus is not the hazard rates but the cumulative incidences, i.e., the probability of having failed from a specific cause prior to a given time. The cumulative ... Keywords: Competing risks, Cox regression, Cumulative incidence, Hazard rate, Poisson regression, Survival analysis

Berit Lindum Waltoft

2009-02-01T23:59:59.000Z

465

SPE-SAS-321 Estimating Layers Deliverability in Multi-Layered Gas Reservoirs Using  

E-Print Network (OSTI)

than two am of a fully k propagation the hidden lay low the value e 1: Basic Diagram neral regressi.0302 Coefficient of Correlation 0.1116 0.2484 0.1265 0.2478 Table 2: Statistical Analysis of the Diameter

Hossain, M. Enamul

466

Systems Studies Department FY 78 activity report. Volume 2. Systems analysis. [Sandia Laboratories, Livermore  

DOE Green Energy (OSTI)

The Systems Studies Department at Sandia Laboratories Livermore (SLL) has two primary responsibilities: to provide computational and mathematical services and to perform systems analysis studies. This document (Volume 2) describes the FY Systems Analysis highlights. The description is an unclassified overview of activities and is not complete or exhaustive. The objective of the systems analysis activities is to evaluate the relative value of alternative concepts and systems. SLL systems analysis activities reflect Sandia Laboratory programs and in 1978 consisted of study efforts in three areas: national security: evaluations of strategic, theater, and navy nuclear weapons issues; energy technology: particularly in support of Sandia's solar thermal programs; and nuclear fuel cycle physical security: a special project conducted for the Nuclear Regulatory Commission. Highlights of these activities are described in the following sections. 7 figures. (RWR)

Gold, T.S.

1979-02-01T23:59:59.000Z

467

Vulnerability Analysis of Energy Delivery Control Systems - 2011 |  

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

Vulnerability Analysis of Energy Delivery Control Systems - 2011 Vulnerability Analysis of Energy Delivery Control Systems - 2011 Vulnerability Analysis of Energy Delivery Control Systems - 2011 Cybersecurity for energy delivery systems has emerged as one of the Nation's most serious grid modernization and infrastructure protection issues. Cyber adversaries are becoming increasingly targeted, sophisticated, and better financed. The energy sector must research, develop and deploy new cybersecurity capabilities faster than the adversary can launch new attack tools and techniques. The goal of the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability (DOE/OE) National Supervisory Control and Data Acquisition (SCADA) Test Bed (NSTB) program is to enhance the reliability and resiliency of the Nation's energy infrastructure by reducing the risk

468

Analysis and System Design Framework for Infrared Spatial Heterodyne Spectrometers  

SciTech Connect

The authors present a preliminary analysis and design framework developed for the evaluation and optimization of infrared, Imaging Spatial Heterodyne Spectrometer (SHS) electro-optic systems. Commensurate with conventional interferometric spectrometers, SHS modeling requires an integrated analysis environment for rigorous evaluation of system error propagation due to detection process, detection noise, system motion, retrieval algorithm and calibration algorithm. The analysis tools provide for optimization of critical system parameters and components including : (1) optical aperture, f-number, and spectral transmission, (2) SHS interferometer grating and Littrow parameters, and (3) image plane requirements as well as cold shield, optical filtering, and focal-plane dimensions, pixel dimensions and quantum efficiency, (4) SHS spatial and temporal sampling parameters, and (5) retrieval and calibration algorithm issues.

Cooke, B.J.; Smith, B.W.; Laubscher, B.E.; Villeneuve, P.V.; Briles, S.D.

1999-04-05T23:59:59.000Z

469

System for decision analysis support on complex waste management issues  

SciTech Connect

A software system called the Waste Flow Analysis has been developed and applied to complex environmental management processes for the United States Department of Energy (US DOE). The system can evaluate proposed methods of waste retrieval, treatment, storage, transportation, and disposal. Analysts can evaluate various scenarios to see the impacts to waste slows and schedules, costs, and health and safety risks. Decision analysis capabilities have been integrated into the system to help identify preferred alternatives based on a specific objectives may be to maximize the waste moved to final disposition during a given time period, minimize health risks, minimize costs, or combinations of objectives. The decision analysis capabilities can support evaluation of large and complex problems rapidly, and under conditions of variable uncertainty. The system is being used to evaluate environmental management strategies to safely disposition wastes in the next ten years and reduce the environmental legacy resulting from nuclear material production over the past forty years.

Shropshire, D.E.

1997-10-01T23:59:59.000Z

470

Real-time power system analysis: Feasibility and critical technologies  

Science Conference Proceedings (OSTI)

Modern electrical grids face increasing demands to serve new or unusual loads, to integrate unconventional new resources, and to transmit power in unforeseen ways. These expanding demands will require utilities to operate existing systems closer to steady-state limits, thus increasing the performance requirements of operation and control systems. In this paper we use the challenges posed by power system stability analysis to motivate a discussion of the technologies required to advance the state-of-the-art in real-time power system control. We consider the computational requirements of system stability analysis techniques (transient simulation, eigenanalysis, time-domain fitting, and frequency-response analysis). Additional requirements are imposed by the necessity that the computational results support either human or automated decision making. We then address the role that critical computer and information technologies must play in addressing these needs. Our emphasis is on high performance computing, where we consider both hardware issues and algorithmic requirements. Data management, user interface, visualization, and expert system technologies are also discussed. We conclude by suggesting elements of a strategic plan for creating the next generation of computer tools for power system analysis, and for their use in real-time control applications. 18 refs.

Pearson, E.W.; Trudnowski, D.J. (Battelle Pacific Northwest Lab., Richland, WA (United States)); Hauer, J.F.; Watkins, D.S. (USDOE Bonneville Power Administration, Portland, OR (United States))

1991-11-01T23:59:59.000Z

471

Preliminary hazards analysis of thermal scrap stabilization system. Revision 1  

SciTech Connect

This preliminary analysis examined the HA-21I glovebox and its supporting systems for potential process hazards. Upon further analysis, the thermal stabilization system has been installed in gloveboxes HC-21A and HC-21C. The use of HC-21C and HC-21A simplified the initial safety analysis. In addition, these gloveboxes were cleaner and required less modification for operation than glovebox HA-21I. While this document refers to glovebox HA-21I for the hazards analysis performed, glovebox HC-21C is sufficiently similar that the following analysis is also valid for HC-21C. This hazards analysis document is being re-released as revision 1 to include the updated flowsheet document (Appendix C) and the updated design basis (Appendix D). The revised Process Flow Schematic has also been included (Appendix E). This Current revision incorporates the recommendations provided from the original hazards analysis as well. The System Design Description (SDD) has also been appended (Appendix H) to document the bases for Safety Classification of thermal stabilization equipment.

Lewis, W.S.

1994-08-23T23:59:59.000Z

472

Wavelet Analysis of Simulated Tropical Convective Cloud Systems. Part I: Basic Analysis  

Science Conference Proceedings (OSTI)

A wavelet analysis of a three-dimensional 7-day explicit simulation of the tropical cloud systems in the Global Atmosphere Research Programme (GARP) Atlantic Tropical Experiment Phase III is performed. Three physically distinct regimes (squall ...

Jun-Ichi Yano; Mitchell W. Moncrieff; Xiaoqing Wu; Michio Yamada

2001-04-01T23:59:59.000Z

473

DOE Hydrogen Analysis Repository: Policy Office Electricity Modeling System  

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

Policy Office Electricity Modeling System (POEMS) Policy Office Electricity Modeling System (POEMS) Project Summary Full Title: Policy Office Electricity Modeling System (POEMS) Project ID: 93 Principal Investigator: Lessly Goudarzi Purpose Designed and built by OnLocation specifically to address electricity industry restructuring issues Performer Principal Investigator: Lessly Goudarzi Organization: OnLocation, Inc. Address: Suite 300, 501 Church Street Vienna, VA 22180 Telephone: 703-938-5151 Email: goudarzi@onlocationinc.com Project Description Type of Project: Model Category: Energy Infrastructure Products/Deliverables Description: National Transmission Grid Study - Appendix A Publication Title: Policy Office Electricty Modeling System (POEMS) and Documentation for Transmission Analysis (PDF 461 KB) Download Adobe Reader.

474

Analysis of the seasonal performance of hybrid desiccant cooling systems  

DOE Green Energy (OSTI)

A simulation model for the liquid desiccant component of a hybrid system was developed. An analysis of experimental test data was conducted. The liquid desiccant component was examined and the sensitivity of its seasonal performance to changes in principal component variables was identified. Seasonal simulations were performed on different operation modes of a hybrid liquid desiccant cooling system. The results were analyzed in terms of estimated operational costs and compared to the equivalent cost estimation of a conventional cooling system. The study showed that the investigated liquid desiccant configuration usually will not lower the costs of operation. A suggestion of an improved system is made.

Sick, F.

1987-04-01T23:59:59.000Z

475

SALT (System Analysis Language Translater): A steady state and dynamic systems code  

DOE Green Energy (OSTI)

SALT (System Analysis Language Translater) is a lumped parameter approach to system analysis which is totally modular. The modules are all precompiled and only the main program, which is generated by SALT, needs to be compiled for each unique system configuration. This is a departure from other lumped parameter codes where all models are written by MACROS and then compiled for each unique configuration, usually after all of the models are lumped together and sorted to eliminate undetermined variables. The SALT code contains a robust and sophisticated steady-sate finder (non-linear equation solver), optimization capability and enhanced GEAR integration scheme which makes use of sparsity and algebraic constraints. The SALT systems code has been used for various technologies. The code was originally developed for open-cycle magnetohydrodynamic (MHD) systems. It was easily extended to liquid metal MHD systems by simply adding the appropriate models and property libraries. Similarly, the model and property libraries were expanded to handle fuel cell systems, flue gas desulfurization systems, combined cycle gasification systems, fluidized bed combustion systems, ocean thermal energy conversion systems, geothermal systems, nuclear systems, and conventional coal-fired power plants. Obviously, the SALT systems code is extremely flexible to be able to handle all of these diverse systems. At present, the dynamic option has only been used for LMFBR nuclear power plants and geothermal power plants. However, it can easily be extended to other systems and can be used for analyzing control problems. 12 refs.

Berry, G.; Geyer, H.

1983-01-01T23:59:59.000Z

476

International Institute for Applied Systems Analysis | Open Energy  

Open Energy Info (EERE)

Analysis Analysis Jump to: navigation, search Logo: International Institute for Applied Systems Analysis Name International Institute for Applied Systems Analysis Address Schlossplatz 1, A-2361 Place Laxenburg, Austria Number of employees 201-500 Year founded 1972 Phone number (+43 2236) 807 0 Coordinates 48.0682549°, 16.358201° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.0682549,"lon":16.358201,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

477

NREL: Wind Research - Energy Analysis of Offshore Systems  

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

Energy Analysis of Offshore Systems Energy Analysis of Offshore Systems Chart of cost data for actual and projected offshore wind projects as reported by developers. Enlarge image NREL has a long history of successful research to understand and improve the cost of wind generation technology. As a research laboratory, NREL is a neutral, third party and can provide an unbiased perspective of methodologies and approaches used to estimate direct and indirect economic impacts of offshore wind. Market Analysis NREL's extensive research on installed and proposed projects in Europe, the United States, and other emerging offshore markets enables the compilation of a database of installed and proposed project costs. These are used to report on cost trends. Recent studies include: Analysis of capital cost trends for planned and installed offshore

478

Environmental Assessment of Photovoltaic Systems and Effectiveness Analysis  

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

Environmental Assessment of Photovoltaic Systems and Effectiveness Analysis Environmental Assessment of Photovoltaic Systems and Effectiveness Analysis of U.S. Renewable Energy Policies Speaker(s): Pei Zhai Date: October 25, 2010 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Chris Marnay This presentation mainly covers two perspectives relevant to solar energy technologies. The first one is the environmental aspect. The questions to be answered are how "green" photovoltaic technology is (embodied energy and carbon are two main indicators); and, how have these two indicators evolved during the past 10 years. The methodology for analysis is a hybrid Life Cycle Assessment. The second part involves a policy analysis of the effectiveness of U.S. renewable energy policies, such as state-level Renewable Portfolio Standards, for supporting solar energy adoption. A

479

Electric System Decision Making in Other Regions: A Preliminary Analysis  

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

Decision Making in Other Regions: A Preliminary Decision Making in Other Regions: A Preliminary Analysis Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation Electric System Decision Making in Other Regions: A Preliminary Analysis Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation The nation's electricity system is regional in nature, because of the operation of the interconnected grids and the markets defined by them. Over the years, many regional organizations of utilities and governments have formed to manage and oversee these markets. Electric System Decision Making in Other Regions: A Preliminary Analysis Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation More Documents & Publications

480

Geothermal Resource Analysis And Structure Of Basin And Range Systems,  

Open Energy Info (EERE)

Analysis And Structure Of Basin And Range Systems, Analysis And Structure Of Basin And Range Systems, Especially Dixie Valley Geothermal Field, Nevada Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Geothermal Resource Analysis And Structure Of Basin And Range Systems, Especially Dixie Valley Geothermal Field, Nevada Details Activities (12) Areas (5) Regions (0) Abstract: Publish new thermal and drill data from the Dizie Valley Geothermal Field that affect evaluation of Basin and Range Geothermal Resources in a very major and positive way. Completed new geophysical surveys of Dizie Valley including gravity and aeromagnetics and integrated the geophysical, seismic, geological and drilling data at Dizie Valley into local and regional geologic models. Developed natural state mass and energy

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


481

Earthquake warning system for infrastructures : a scoping analysis.  

Science Conference Proceedings (OSTI)

This report provides the results of a scoping study evaluating the potential risk reduction value of a hypothetical, earthquake early-warning system. The study was based on an analysis of the actions that could be taken to reduce risks to population and infrastructures, how much time would be required to take each action and the potential consequences of false alarms given the nature of the action. The results of the scoping analysis indicate that risks could be reduced through improving existing event notification systems and individual responses to the notification; and production and utilization of more detailed risk maps for local planning. Detailed maps and training programs, based on existing knowledge of geologic conditions and processes, would reduce uncertainty in the consequence portion of the risk analysis. Uncertainties in the timing, magnitude and location of earthquakes and the potential impacts of false alarms will present major challenges to the value of an early-warning system.

Brodsky, Nancy S.; O'Connor, Sharon L.; Stamber, Kevin Louis; Kelic, Andjelka; Fogleman, William E. (GRIT, Inc., Albuquerque, NM); Vugrin, Eric D.; Corbet, Thomas Frank, Jr.; Brown, Theresa Jean

2011-09-01T23:59:59.000Z

482

Model documentation of the Short-Term Coal Analysis System  

Science Conference Proceedings (OSTI)

The short-term coal analysis system (SCOAL) is used by the Data Analysis and Forecasting Branch (DAFB) as an analytic aid to support preparation of short-term projections of bituminous coal and lignite production at the state level, and anthracite production, domestic imports of coal, and domestic and export demand for US coal at the national level. A description of SCOAL is presented which includes a general overview of the model and its analytical capabilities. (DMC)

Not Available

1983-04-01T23:59:59.000Z

483

Computational methods for criticality safety analysis within the scale system  

SciTech Connect

The criticality safety analysis capabilities within the SCALE system are centered around the Monte Carlo codes KENO IV and KENO V.a, which are both included in SCALE as functional modules. The XSDRNPM-S module is also an important tool within SCALE for obtaining multiplication factors for one-dimensional system models. This paper reviews the features and modeling capabilities of these codes along with their implementation within the Criticality Safety Analysis Sequences (CSAS) of SCALE. The CSAS modules provide automated cross-section processing and user-friendly input that allow criticality safety analyses to be done in an efficient and accurate manner. 14 refs., 2 figs., 3 tabs.

Parks, C.V.; Petrie, L.M.; Landers, N.F.; Bucholz, J.A.

1986-01-01T23:59:59.000Z

484

Evaluation of energy system analysis techniques for identifying underground facilities  

Science Conference Proceedings (OSTI)

This report describes the results of a study to determine the feasibility and potential usefulness of applying energy system analysis techniques to help detect and characterize underground facilities that could be used for clandestine activities. Four off-the-shelf energy system modeling tools were considered: (1) ENPEP (Energy and Power Evaluation Program) - a total energy system supply/demand model, (2) ICARUS (Investigation of Costs and Reliability in Utility Systems) - an electric utility system dispatching (or production cost and reliability) model, (3) SMN (Spot Market Network) - an aggregate electric power transmission network model, and (4) PECO/LF (Philadelphia Electric Company/Load Flow) - a detailed electricity load flow model. For the purposes of most of this work, underground facilities were assumed to consume about 500 kW to 3 MW of electricity. For some of the work, facilities as large as 10-20 MW were considered. The analysis of each model was conducted in three stages: data evaluation, base-case analysis, and comparative case analysis. For ENPEP and ICARUS, open source data from Pakistan were used for the evaluations. For SMN and PECO/LF, the country data were not readily available, so data for the state of Arizona were used to test the general concept.

VanKuiken, J.C.; Kavicky, J.A.; Portante, E.C. [and others

1996-03-01T23:59:59.000Z

485

Hybrid energy system cost analysis: San Nicolas Island, California  

DOE Green Energy (OSTI)

This report analyzes the local wind resource and evaluates the costs and benefits of supplementing the current diesel-powered energy system on San Nicolas Island, California (SNI), with wind turbines. In Section 2.0 the SNI site, naval operations, and current energy system are described, as are the data collection and analysis procedures. Section 3.0 summarizes the wind resource data and analyses that were presented in NREL/TP 442-20231. Sections 4.0 and 5.0 present the conceptual design and cost analysis of a hybrid wind and diesel energy system on SNI, with conclusions following in Section 6. Appendix A presents summary pages of the hybrid system spreadsheet model, and Appendix B contains input and output files for the HYBRID2 program.

Olsen, T.L.; McKenna, E.

1996-07-01T23:59:59.000Z

486

Fault trees for decision making in systems analysis  

SciTech Connect

The application of fault tree analysis (FTA) to system safety and reliability is presented within the framework of system safety analysis. The concepts and techniques involved in manual and automated fault tree construction are described and their differences noted. The theory of mathematical reliability pertinent to FTA is presented with emphasis on engineering applications. An outline of the quantitative reliability techniques of the Reactor Safety Study is given. Concepts of probabilistic importance are presented within the fault tree framework and applied to the areas of system design, diagnosis and simulation. The computer code IMPORTANCE ranks basic events and cut sets according to a sensitivity analysis. A useful feature of the IMPORTANCE code is that it can accept relative failure data as input. The output of the IMPORTANCE code can assist an analyst in finding weaknesses in system design and operation, suggest the most optimal course of system upgrade, and determine the optimal location of sensors within a system. A general simulation model of system failure in terms of fault tree logic is described. The model is intended for efficient diagnosis of the causes of system failure in the event of a system breakdown. It can also be used to assist an operator in making decisions under a time constraint regarding the future course of operations. The model is well suited for computer implementation. New results incorporated in the simulation model include an algorithm to generate repair checklists on the basis of fault tree logic and a one-step-ahead optimization procedure that minimizes the expected time to diagnose system failure. (80 figures, 20 tables) (auth)

Lambert, H.E.

1975-10-01T23:59:59.000Z

487

Computer-aided visualization and analysis system for sequence evaluation  

DOE Patents (OSTI)

A computer system for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments are improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area and sample sequences in another area on a display device.

Chee, Mark S. (3199 Waverly St., Palo Alto, CA 94306)

1998-08-18T23:59:59.000Z

488

Computer-aided visualization and analysis system for sequence evaluation  

DOE Patents (OSTI)

A computer system (1) for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments may be improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area (814) and sample sequences in another area (816) on a display device (3).

Chee, Mark S. (Palo Alto, CA)

2001-06-05T23:59:59.000Z

489

Computer-aided visualization and analysis system for sequence evaluation  

DOE Patents (OSTI)

A computer system (1) for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments may be improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area (814) and sample sequences in another area (816) on a display device (3).

Chee, Mark S. (Palo Alto, CA)

1999-10-26T23:59:59.000Z

490

Performance analysis of mixed passive solar heating systems  

DOE Green Energy (OSTI)

The various situations in which interactions between south-facing systems serving a single thermal zone may affect the performance of the mixture are discussed. In particular, the nature of direct gain interactions with unvented Trombe walls was explored using a detailed thermal network computer program. The results are compared with predictions from the simple design analysis procedures which neglect interactions. This comparison showed that system interactions can significantly improve the peformance of a mixture under certain conditions.

Wray, W.O.; Best, E.D.

1985-01-01T23:59:59.000Z

491

Active cooling for downhole instrumentation: Preliminary analysis and system selection  

DOE Green Energy (OSTI)

A feasibility study and a series of preliminary designs and analyses were done to identify candidate processes or cycles for use in active cooling systems for downhole electronic instruments. A matrix of energy types and their possible combinations was developed and the energy conversion process for each pari was identified. The feasibility study revealed conventional as well as unconventional processes and possible refrigerants and identified parameters needing further clarifications. A conceptual design or series od oesigns for each system was formulated and a preliminary analysis of each design was completed. The resulting coefficient of performance for each system was compared with the Carnot COP and all systems were ranked by decreasing COP. The system showing the best combination of COP, exchangeability to other operating conditions, failure mode, and system serviceability is chosen for use as a downhole refrigerator. 85 refs., 48 figs., 33 tabs.

Bennett, G.A.

1988-03-01T23:59:59.000Z

492

Visual Comfort Analysis of Innovative Interior and Exterior Shading Systems  

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

Visual Comfort Analysis of Innovative Interior and Exterior Shading Systems Visual Comfort Analysis of Innovative Interior and Exterior Shading Systems for Commercial Buildings using High Resolution Luminance Images Title Visual Comfort Analysis of Innovative Interior and Exterior Shading Systems for Commercial Buildings using High Resolution Luminance Images Publication Type Journal Article LBNL Report Number LBNL-4417E Year of Publication 2011 Authors Konis, Kyle, Eleanor S. Lee, and Robert D. Clear Call Number LBNL-4417E Abstract The objective of this study was to explore how calibrated high dynamic range (HDR) images (luminance maps) acquired in real world daylit environments can be used to characterize, evaluate, and compare visual comfort conditions of innovative facade shading and light-redirecting systems. Detailed (1536 x 1536 pixel) luminance maps were time-lapse acquired from two view positions in an unoccupied full scale testbed facility. These maps were analyzed using existing visual comfort metrics to quantify how innovative interior and exterior shading systems compare to conventional systems under real sun and sky conditions over a solstice-to-solstice test interval. The results provide a case study in the challenges and potential of methods of visualizing, evaluating and summarizing daily and seasonal variation of visual comfort conditions computed from large sets of image data.

493

Macro-System Model for Hydrogen Energy Systems Analysis in Transportation: Preprint  

DOE Green Energy (OSTI)

The Hydrogen Macro System Model (MSM) is a simulation tool that links existing and emerging hydrogen-related models to perform rapid, cross-cutting analysis. It allows analysis of the economics, primary energy-source requirements, and emissions of hydrogen production and delivery pathways.

Diakov, V.; Ruth, M.; Sa, T. J.; Goldsby, M. E.

2012-06-01T23:59:59.000Z

494

Power System Dynamic Security Analysis Using Artificial Intelligence Systems: Phase 1 -- Feasibility Evaluation  

Science Conference Proceedings (OSTI)

On-line transient stability analysis, using actual system conditions, will allow more realistic stability limits. The result will be improved economy through increased transfers across the transmission grid. This feasibility evaluation explores ways of using artificial intelligence and other techniques to solve the computational problems associated with dynamic security analysis.

1994-04-26T23:59:59.000Z

495

Multi-State Load Models for Distribution System Analysis  

Science Conference Proceedings (OSTI)

Recent work in the field of distribution system analysis has shown that the traditional method of peak load analysis is not adequate for the analysis of emerging distribution system technologies. Voltage optimization, demand response, electric vehicle charging, and energy storage are examples of technologies with characteristics having daily, seasonal, and/or annual variations. In addition to the seasonal variations, emerging technologies such as demand response and plug in electric vehicle charging have the potential to send control signals to the end use loads which will affect how they consume energy. In order to support time-series analysis over different time frames and to incorporate potential control signal inputs it is necessary to develop detailed end use load models which accurately represent the load under various conditions, and not just during the peak load period. This paper will build on previous work on detail end use load modeling in order to outline the method of general multi-state load models for distribution system analysis.

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

2011-11-01T23:59:59.000Z

496

NON-SYMMETRICAL MAIN COOLANT SYSTEM ANALYSIS (NOMACS). PART I  

SciTech Connect

Non-symmetrical main coolant system analysis is an IBM-704 digital program for calculating the reactor generation, primary coolant temperature distribution, and steam temperature, pressure, and flow to the main and auxiliary turbines during a transient period. The program represents a system composed of a two-pass high pressure water cooled reactor ivith tivo main primary coolant loops each having its own steam generator, separator, and drum. The generated steam from each loop is piped into a common header which is then piped to the main and auxiliary turbines and other steam loads in the system. The mathematical representation for solution is described. (M.H.R.)

Larsen, R.C.

1957-09-11T23:59:59.000Z

497

Analysis and design of robust decentralized controllers for nonlinear systems  

SciTech Connect

Decentralized control strategies for nonlinear systems are achieved via feedback linearization techniques. New results on optimization and parameter robustness of non-linear systems are also developed. In addition, parametric uncertainty in large-scale systems is handled by sensitivity analysis and optimal control methods in a completely decentralized framework. This idea is applied to alleviate uncertainty in friction parameters for the gimbal joints on Space Station Freedom. As an example of decentralized nonlinear control, singular perturbation methods and distributed vibration damping are merged into a control strategy for a two-link flexible manipulator.

Schoenwald, D.A.

1993-07-01T23:59:59.000Z

498

Fuel Cell Technologies Office: Storage Systems Analysis Working Group  

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

Storage Systems Analysis Working Group Storage Systems Analysis Working Group The Storage Systems Analysis Working Group, launched in March 2005, provides a forum to facilitate research and communication of hydrogen storage-related analysis activities among researchers actively engaged in hydrogen storage systems analyses. The working group includes members from DOE, the national laboratories, industry, and academia. Description Technical Targets Meetings Contacts Description Hydrogen storage is a key enabling technology for the advancement of hydrogen and fuel cell power technologies in transportation, stationary, and portable power applications. One of the most challenging technical barriers known is how to efficiently store hydrogen on-board a vehicle to meet customer expectations of a driving range greater than 300 miles-as well as performance, safety, and cost-without impacting passenger or cargo space. The Department of Energy's hydrogen storage activity is coordinated through the "National Hydrogen Storage Project," with multiple university, industry, and federal laboratory partners focused on research and development of on-board vehicular hydrogen storage technologies. This research also has components applicable to off-board storage of hydrogen for refueling infrastructure and the off-board regeneration of chemical hydrogen carriers applicable to hydrogen delivery.

499

Domain analysis on an electronic health records system  

Science Conference Proceedings (OSTI)

Electronic Health Records (EHR) have been proposed as a means for managing the technical and organisational complexity that arises in modern healthcare. Different EHR systems are being developed around the world, and within individual countries, different ... Keywords: electronic health record, feature oriented domain analysis, healthcare domain

Xiaocheng Ge; Richard F. Paige; John A. McDermid

2009-10-01T23:59:59.000Z

500

California's Electricity System of the Future: Scenario Analysis in Support  

E-Print Network (OSTI)

Commission nor has the California Energy Commission passed upon the accuracy or adequacy of the information of a competitive electricity market. CERTS is currently conducting research for the U.S. Department of Energy (DOECalifornia's Electricity System of the Future: Scenario Analysis in Support of Public