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1

Continental U.S. State Wind Resource Potential Tables (RDF Transformat...  

Open Energy Info (EERE)

Continental U.S. State Wind Resource Potential Tables (RDF Transformation) Submitted by Woodjr on Fri, 02042011 - 14:19 A linked data (RDF) transformation of the...

2

Developing the Resource Potential of a Shallow Water Table  

E-Print Network (OSTI)

apply compara Also, soil water intake rates tend deliveryabove the water table at which plant intake and upward

Grimes, D. W; Henderson, D. W

1984-01-01T23:59:59.000Z

3

Offshore Wind Potential Tables  

Wind Powering America (EERE)

Offshore wind resource by state and wind speed interval within 50 nm of shore. Offshore wind resource by state and wind speed interval within 50 nm of shore. Wind Speed at 90 m (m/s) 7.0 - 7.5 7.5 - 8.0 8.0 - 8.5 8.5 - 9.0 9.0 - 9.5 9.5 - 10.0 >10.0 Total >7.0 State Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) California 11,439 (57,195) 24,864 (124,318) 23,059 (115,296) 22,852 (114,258) 13,185 (65,924) 15,231 (76,153) 6,926 (34,629) 117,555 (587,773) Connecticut 530 (2,652) 702 (3,508) 40 (201) 0 (0) 0 (0) 0 (0) 0 (0) 1,272 (6,360) Delaware 223 (1,116) 724 (3,618) 1,062 (5,310) 931 (4,657) 0 (0) 0 (0) 0 (0) 2,940 (14,701) Georgia 3,820 (19,102) 7,741 (38,706) 523 (2,617) 0 (0) 0 (0) 0 (0) 0 (0) 12,085 (60,425) Hawaii 18,873 (94,363) 42,298 (211,492)

4

Stakeholder Engagement and Outreach: Wind Resource Potential  

Wind Powering America (EERE)

Wind Resource Potential Offshore Maps Community-Scale Maps Residential-Scale Maps Anemometer Loan Programs & Data Wind Resource Potential State Wind Resource Potential Tables Find state wind resource potential tables in three versions: Microsoft Excel 2007, 2003, and Adobe Acrobat PDF. 30% Capacity Factor at 80-Meters Microsoft 2007 Microsoft 2003 Adobe Acrobat PDF Additional 80- and 100-Meter Wind Resource Potential Tables Microsoft 2007 Microsoft 2003 Adobe Acrobat PDF The National Renewable Energy Laboratory (NREL) estimated the windy land area and wind energy potential for each state using AWS Truepower's gross capacity factor data. This provides the most up to date estimate of how wind energy can support state and national energy needs. The table lists the estimates of windy land area with a gross capacity of

5

Energy Resource Potential  

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

Resource Potential Resource Potential of Methane Hydrate Energy Resource Potential An introduction to the science and energy potential of a unique resource Disclaimer Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.

6

WEB RESOURCE: Exploring the Table of Isotopes  

Science Conference Proceedings (OSTI)

Feb 16, 2007 ... This page offers an interactive table of isotopes, an animated glossary of nuclear terms and relevant support documents created by the...

7

Death Summary Tables from the Comprehensive Epidemiologic Data Resource (CEDR)  

DOE Data Explorer (OSTI)

Death Summary Tables summarize causes of death in individual CEDR data file sets according to groupings of International Classification of Disease (ICD) codes that pertain to diseases of interest to the CEDR community. These tables are intended to help researchers quickly determine if a particular data file set is of interest. Many of CEDR's data file sets pertain to cohort mortality studies, and CEDR staff produces these Death Summary Tables after data providers have submitted analytic data file sets. An epidemiologic mortality study examines the rates of deaths due to various causes among a particular population, or cohort. In such studies, an individual's cause of death, such as heart disease or cancer, is coded by a qualified nosologist and entered into the data file by the researcher. CEDR summarizes the underlying causes of death creating a table that shows the number of deaths occurring in various groupings derived from the ICD classification used for the study. Death Summary Tables are intended for general understanding of the distribution of causes of death among individuals in the study files (those CEDR data file sets considered to consist of "working" data file sets). They are produced only for analytic data file sets associated with a specific epidemiological study. Death Summary Tables are not created when the data file set does not include ICD codes. Death Summary Tables are not created for those studies that do not investigate mortality (e.g. morbidity studies)

8

Table 4. Crude oil production and resources (million barrels)  

U.S. Energy Information Administration (EIA)

2013 EIA/ARI unproved shale oil technically recoverable resources (TRR) 2012 USGS conventional unproved oil TRR, including reserve growth

9

Table 3. Wet natural gas production and resources (trillion cubic ...  

U.S. Energy Information Administration (EIA)

2013 EIA/ARI unproved wet shale gas technically recoverable resources (TRR) 2012 USGS conventional unproved wet natural gas TRR, including reserve

10

Table  

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

Table 295: Muons in water as calc from steam to check code ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.55509 1.000 71.6 0.44251 3.0000 0.2000 2.0000 3.5017 0.00 T p...

11

U.S. State Wind Resource Potential | OpenEI  

Open Energy Info (EERE)

State Wind Resource Potential State Wind Resource Potential Dataset Summary Description Estimates for each of the 50 states and the entire United States showing the windy land area with a gross capacity factor (without losses) of 30% and greater at 80-m height above ground and the wind energy potential from development of the "available" windy land area after exclusions. The "Installed Capacity" shows the potential megawatts (MW) of rated capacity that could be installed on the available windy land area, and the "Annual Generation" shows annual wind energy generation in gigawatt-hours (GWh) that could be produced from the installed capacity. AWS Truewind, LLC developed the wind resource data for windNavigator® with a spatial resolution of 200 m. NREL produced the estimates of windy land area and windy energy potential, including filtering the estimates to exclude areas unlikely to be developed such as wilderness areas, parks, urban areas, and water features (see the "Wind Resource Exclusion Table" sheet within the Excel file for more detail).

12

United States Wind Resource Potential Chart  

Wind Powering America (EERE)

18,000 18,000 Rated Capacity Above Indicated CF (GW) United States - Wind Resource Potential Cumulative Rated Capacity vs. Gross Capacity Factor (CF) 80 m The estimates show the potential gigawatts of rated capacity that could be installed on land above a given gross capacity factor (without losses) at 80-m and 100-m heights above ground. Areas greater than 30% at 80 m are generally considered to have suitable wind resource for potential wind development with today's advanced wind turbine technology. AWS Truewind, LLC developed the wind resource data for windNavigator® (http://navigator.awstruewind.com) with a spatial resolution of 200 m. NREL filtered the wind potential estimates to

13

Geothermal resources in California: potentials and problems  

DOE Green Energy (OSTI)

The technology, cost and potential of geothermal resources in California are examined. The production of power from dry stream fields is expanding in Northern California, at The Geysers, at costs that compare favorably with alternate means of generation. The possibility exists that economic production of power can be started in the Imperial Valley, but numerous issues remain to be resolved; chief among them is the demonstration that commercially valuable aquifers indeed exist. The production of demineralized water from the geothermal fluids of the Imperial Valley depends, among other things, upon the identification of other sources of water for power plant cooling, or for reservoir reinjection, should it be necessary to avoid subsidence. It would appear that water production, without the income-producing capability of associated power generation, is not economically reasonable. The pace of geothermal development at the Geysers could probably be accelerated perhaps offering the opportunity for maintenance of adequate generating reserves should their nuclear construction program be delayed. The unknown factors and risks involved seem to preclude the Imperial Valley resource from being immediately effective in improving the power generation picture in Southern California. However, in the next decade, geothermal power could provide a useful energy increment, perhaps 10 percent of peak load. Associated water production could offer relief for the Imperial Valley in its predicted water quality problem. The pace of public and private development in the Imperial Valley seems incommensurately slow in relation to the potential of the resource. Geothermal power and water production is not intrinsically pollution-free, but appropriate environmental protection is possible.

Goldsmith, M.

1971-12-01T23:59:59.000Z

14

EIA - Annual Energy Outlook 2009 - chapter Tables  

Gasoline and Diesel Fuel Update (EIA)

Chapter Tables Chapter Tables Annual Energy Outlook 2009 with Projections to 2030 Chapter Tables Table 1. Estimated fuel economy for light-duty vehicles, based on proposed CAFE standards, 2010-2015 Table 2. State appliance efficiency standards and potential future actions Table 3. State renewable portfolio standards Table 4. Key analyses from "issues in Focus" in recent AEOs Table 5. Liquid fuels production in three cases, 2007 and 2030 Table 6. Assumptions used in comparing conventional and plug-in hybrid electric vehicles Table 7. Conventional vehicle and plug-in hybrid system component costs for mid-size vehicles at volume production Table 8. Technically recoverable resources of crude oil and natural gas in the Outer Continental Shelf, as of January 1, 2007

15

Hydrogen Resource Assessment: Hydrogen Potential from Coal, Natural...  

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

2009 Hydrogen Resource Assessment Hydrogen Potential from Coal, Natural Gas, Nuclear, and Hydro Power Anelia Milbrandt and Margaret Mann National Renewable Energy Laboratory 1617...

16

Tables of co-located geothermal-resource sites and BLM Wilderness Study Areas  

DOE Green Energy (OSTI)

Matched pairs of known geothermal wells and springs with BLM proposed Wilderness Study Areas (WSAs) were identified by inspection of WSA and Geothermal resource maps for the states of Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington and Wyoming. A total of 3952 matches, for geothermal sites within 25 miles of a WSA, were identified. Of these, only 71 (1.8%) of the geothermal sites are within one mile of a WSA, and only an additional 100 (2.5%) are within one to three miles. Approximately three-fourths of the matches are at distances greater than ten miles. Only 12 of the geothermal sites within one mile of a WSA have surface temperatures reported above 50/sup 0/C. It thus appears that the geothermal potential of WSAs overall is minimal, but that evaluation of geothermal resources should be considered in more detail for some areas prior to their designation as Wilderness.

Foley, D.; Dorscher, M.

1982-11-01T23:59:59.000Z

17

Biomass energy: the scale of the potential resource  

E-Print Network (OSTI)

Biomass energy: the scale of the potential resource Christopher B. Field1 , J. Elliott Campbell1 Avenue, Livermore, CA 94550, USA Increased production of biomass for energy has the potential to offset resources and decrease food security. The net effect of biomass energy agriculture on climate could

18

An assessement of global energy resource economic potentials  

E-Print Network (OSTI)

This paper presents an assessment of global economic energy potentials for all major natural energy resources. This work is based on both an extensive literature review and calculations using natural resource assessment data. Economic potentials are presented in the form of cost-supply curves, in terms of energy flows for renewable energy sources, or fixed amounts for fossil and nuclear resources, with strong emphasis on uncertainty, using a consistent methodology that allow direct comparisons to be made. In order to interpolate through available resource assessment data and associated uncertainty, a theoretical framework and a computational methodology are given based on statistical properties of different types of resources, justified empirically by the data, and used throughout. This work aims to provide a global database for natural energy resources ready to integrate into models of energy systems, enabling to introduce at the same time uncertainty over natural resource assessments. The supplementary mate...

Mercure, J F

2012-01-01T23:59:59.000Z

19

Comprehensive Evaluation of the Geothermal Resource Potential within the  

Open Energy Info (EERE)

Comprehensive Evaluation of the Geothermal Resource Potential within the Comprehensive Evaluation of the Geothermal Resource Potential within the Pyramid Lake Paiute Reservation Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title Comprehensive Evaluation of the Geothermal Resource Potential within the Pyramid Lake Paiute Reservation Project Type / Topic 1 Recovery Act: Geothermal Technologies Program Project Type / Topic 2 Validation of Innovative Exploration Technologies Project Description The proposed project will provide state-of-the-art characterization information and a detailed analysis of the geothermal resource potential at the Astor Pass site. The information gained during this study will allow the Pyramid Lake Paiute Tribe to make informed decisions regarding construction of a geothermal power plant. Additional benefits include the transfer of new technologies and geothermal data to the geothermal industry and to create and preserve nearly three dozen jobs that will serve to stimulate the economy in accordance with the American Recovery and Reinvestment Act of 2009.

20

Targeting Of Potential Geothermal Resources In The Great Basin From  

Open Energy Info (EERE)

Targeting Of Potential Geothermal Resources In The Great Basin From Targeting Of Potential Geothermal Resources In The Great Basin From Regional To Basin-Scale Relationship Between Geodetic Strain And Geological Structures Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Targeting Of Potential Geothermal Resources In The Great Basin From Regional To Basin-Scale Relationship Between Geodetic Strain And Geological Structures Details Activities (9) Areas (3) Regions (0) Abstract: We apply a new method to target potential geothermal resources on the regional scale in the Great Basin by seeking relationships between geologic structures and GPS-geodetic observations of regional tectonic strain. First, we establish a theoretical basis for underst~dingh ow the rate of fracture opening can be related to the directional trend of faults

Note: This page contains sample records for the topic "resource potential tables" 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

Biomass resource potential using energy crops  

DOE Green Energy (OSTI)

Biomass energy crops can provide a significant and environmentally beneficial source of renewable energy feedstocks for the future. They can revitalize the agricultural sector of the US economy by providing profitable uses for marginal cropland. Energy crops include fast-growing trees, perennial grasses, and annual grasses, all capable of collecting solar energy and storing it as cellulosic compounds for several months to several years. Once solar energy is thus captured, it can be converted by means of currently available technologies to a wide variety of energy products such as electricity, heat, liquid transportation fuels, and gases. Experimental results from field trials have generated optimism that selected and improved energy crops, established on cropland with moderate limitations for crop production, have the potential for producing high yields. Both trees and grasses, under very good growing conditions, have produced average annual yields of 20 to 40 dry Mg ha{sup {minus}1} year{sup {minus}1}. Sorghum has shown especially high yields in the Midwest. Hybrids between sugar cane and its wild relatives, called energy cane, have yielded as much as 50 dry Mg ha{sup {minus}1} year{sup {minus}1} in Florida. These experimental results demonstrate that some species have the genetic potential for very rapid growth rates. New wood energy crop systems developed by the Department of Energy`s Biofuels Feedstock Development Program offer, at a minimum, a 100% increase in biomass production rates over the 2 to 4 Mg ha{sup {minus}1} year{sup {minus}1} of dry leafless woody biomass produced by most natural forest systems. Experimental data indicate that short rotation wood crops established on cropland with moderate limitations are capable of producing biomass yields of 8--20 dry Mg ha{sup {minus}1} year{sup {minus}1} with a present average about 11 dry Mg ha{sup {minus}1} year{sup {minus}1} on typical cropland sites.

Wright, L.L.; Cushman, J.H.; Martin, S.A.

1993-09-01T23:59:59.000Z

22

LBNL -50132 Assessment of Grid Distributed Energy Resource Potential  

E-Print Network (OSTI)

LBNL -50132 Assessment of µGrid Distributed Energy Resource Potential Using DER-CAM and GIS of Energy under Contract No. DE-AC03-76SF00098. #12;#12;Assessment of µGrid Distributed Energy Potential Road, MS 90-4000 Berkeley CA 94720-8061 *Renewable and Appropriate Energy Laboratory University

23

United States (48 Contiguous States) Wind Resource Potential Chart  

Wind Powering America (EERE)

Rated Capacity Above Indicated CF (GW) Rated Capacity Above Indicated CF (GW) United States (48 Contiguous States) - Wind Resource Potential Cumulative Rated Capacity vs. Gross Capacity Factor (CF) 80 m The estimates show the potential gigawatts of rated capacity that could be installed on land above a given gross capacity factor (without losses) at 80-m and 100-m heights above ground. Areas greater than 30% at 80 m are generally considered to have suitable wind resource for potential wind development with today's advanced wind turbine technology. AWS Truewind, LLC developed the wind resource data for windNavigator® (http://navigator.awstruewind.com) with a spatial resolution of 200 m. NREL filtered the wind potential estimates to

24

Assessment of (mu)grid distributed energy resource potential using DER-CAM and GIS  

E-Print Network (OSTI)

of Customer Adoption of Distributed Energy Resources. Assessment of Grid Distributed Energy Potential Using DER-Assessment of Grid Distributed Energy Resource Potential

Edwards, Jennifer L.; Marnay, Chris; Bartholomew, Emily; Ouaglal, Boubekeur; Siddiqui, Afzal S.; LaCommare, Kristina S.H.

2002-01-01T23:59:59.000Z

25

Offshore Wind Resource Global Wind Potential Supply Curves by...  

Open Energy Info (EERE)

Offshore Wind Resource Global Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW)
2012-07-12T22:51:45Z 2012-07-13T20:49:20Z I am submitting data from...

26

Potential for Development of Solar and Wind Resource in Bhutan  

DOE Green Energy (OSTI)

With support from the U.S. Agency for International Development (USAID), the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) produced maps and data of the wind and solar resources in Bhutan. The solar resource data show that Bhutan has an adequate resource for flat-plate collectors, with annual average values of global horizontal solar radiation ranging from 4.0 to 5.5 kWh/m2-day (4.0 to 5.5 peak sun hours per day). The information provided in this report may be of use to energy planners in Bhutan involved in developing energy policy or planning wind and solar projects, and to energy analysts around the world interested in gaining an understanding of Bhutan's wind and solar energy potential.

Gilman, P.; Cowlin, S.; Heimiller, D.

2009-09-01T23:59:59.000Z

27

Our Evolving Knowledge Of Nevada's Geothermal Resource Potential | Open  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Our Evolving Knowledge Of Nevada's Geothermal Resource Potential Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Our Evolving Knowledge Of Nevada's Geothermal Resource Potential Abstract The Great Basin Center for Geothermal Energy (GBCGE) is conducting site-specific and regional geothermal research both in direct collaboration with industry (typically site-specific) and independently (typically regional exploration), communicating findings with public and industrial partners. These studies are research-oriented and are developing new tools

28

Our Evolving Knowledge Of Nevada'S Geothermal Resource Potential | Open  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Our Evolving Knowledge Of Nevada'S Geothermal Resource Potential Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Our Evolving Knowledge Of Nevada'S Geothermal Resource Potential Details Activities (16) Areas (9) Regions (0) Abstract: The Great Basin Center for Geothermal Energy (GBCGE) is conducting site-specific and regional geothermal research both in direct collaboration with industry (typically site-specific) and independently (typically regional exploration), communicating findings with public and industrial partners. These studies are research-oriented and are developing

29

National Microalgae Biofuel Production Potential and Resource Demand  

SciTech Connect

Microalgae continue to receive global attention as a potential sustainable "energy crop" for biofuel production. An important step to realizing the potential of algae is quantifying the demands commercial-scale algal biofuel production will place on water and land resources. We present a high-resolution national resource and oil production assessment that brings to bear fundamental research questions of where open pond microalgae production can occur, how much land and water resource is required, and how much energy is produced. Our study suggests under current technology microalgae have the potential to generate 220 billion liters/year of oil, equivalent to 48% of current U.S. petroleum imports for transportation fuels. However, this level of production would require 5.5% of the land area in the conterminous U.S., and nearly three times the volume of water currently used for irrigated agriculture, averaging 1,421 L water per L of oil. Optimizing the selection of locations for microalgae production based on water use efficiency can greatly reduce total water demand. For example, focusing on locations along the Gulf Coast, Southeastern Seaboard, and areas adjacent to the Great Lakes, shows a 75% reduction in water demand to 350 L per L of oil produced with a 67% reduction in land use. These optimized locations have the potential to generate an oil volume equivalent to 17% of imports for transportation fuels, equal to the Energy Independence and Security Act year 2022 "advanced biofuels" production target, and utilizing some 25% of the current irrigation consumptive water demand for the U. S. These results suggest that, with proper planning, adequate land and water are available to meet a significant portion of the U.S. renewable fuel goals.

Wigmosta, Mark S.; Coleman, Andre M.; Skaggs, Richard; Huesemann, Michael H.; Lane, Leonard J.

2011-04-14T23:59:59.000Z

30

Kauai, Hawaii: Solar Resource Analysis and High Penetration PV Potential  

DOE Green Energy (OSTI)

Overview of the solar resource assessment conducted by the National Renewable Energy Laboratory (NREL) in cooperation with Kauai Island Utility Cooperative (KIUC) in Hawaii to determine the technical feasibility of increasing the contribution of solar renewable energy generation on the island of Kauaii through the use of photovoltaic (PV) arrays. The analysis, which was performed using a custom version of NREL's In My Back Yard (IMBY) software tool, showed that there is potential to generate enough energy to cover the peak load as reported for Kauai in 2007.

Helm, C.; Burman, K.

2010-04-01T23:59:59.000Z

31

Potential benefits of geothermal electrical production from hydrothermal resources  

DOE Green Energy (OSTI)

The potential national benefits of geothermal electric energy development from the hydrothermal resources in the West are estimated for several different scenarios. The U.S. electrical economy is simulated by computer using a linear programming optimization technique. Under most of the scenarios, benefits are estimated at $2 to $4 billion over the next 50 years on a discounted present value basis. The electricity production from hydrothermal plants reaches 2 to 4 percent of the national total, which will represent 10 to 20 percent of the installed capacity in the West. Installed geothermal capacity in 1990 is estimated to be 9,000 to 17,000 Mw(e). The geothermal capacity should reach 28,000 to 65,000 Mw(e) by year 2015. The ''most likely'' scenario yields the lower values in the above ranges. Under this scenario geothermal development would save the utility industry $11 billion in capital costs (undiscounted); 32 million separative work units; 64,000 tons of U/sub 3/O/sub 8/; and 700 million barrels of oil. The most favorable scenario for geothermal energy occurs when fossil fuel prices are projected to increase at 5 percent/year. The benefits of geothermal energy then exceed $8 billion on a discounted present value basis. Supply curves were developed for hydrothermal resources based on the recent U.S. Geological Survey (USGS) resource assessment, resource characteristics, and projected power conversion technology and costs. Geothermal plants were selected by the optimizing technique to fill a need for ''light load'' plants. This infers that geothermal plants may be used in the future primarily for load-following purposes.

Bloomster, C.H.; Engel, R.L.

1976-06-01T23:59:59.000Z

32

Preliminary definition of the geothermal resources potential of Pennsylvania  

DOE Green Energy (OSTI)

Pennsylvania has a diverse geology. A small portion of the northeastern corner of the state is covered by Atlantic Coastal Plains sediments. To the northwest metamorphic rocks in the Piedment, Blue Ridge and Reading Prong areas are exposed. Triassic basine cut across portions of the Piedmont. The western portion of the state is underlain by Paleozoic sediments of the folded Appalachians and the Appalachian or Allegheny Basin. Crystalline rocks are limited to the metamorphic and igneous rocks of the Piedmont, Blue Ridge, and Reading Prong and to Triassic diabase intrusives. Potential for geothermal resources in Pennsylvania appear to be limited to small hydrothermal systems associated with deep convection in the folded Appalachians or deep sources in the Appalachian Basin. Heat flow measurements and temperature gradients from oil and gas wells suggest normal continental heat flow in Pennsylvania. Under such conditions temperatures of about 200{sup 0}C (392{sup 0}F) are possible near the base of the sedimentary section (about 9 km, 30,000 feet). Warm springs are not as common in Pennsylvania as they are to the south in West Virginia and Virginia. Apparently the structure does not facilitate convective circulation. Geothermal resources in Pennsylvania appear to be restricted to those available in an area of normal temperature gradients.

Renner, J.L.; Vaught, T.L.

1979-01-01T23:59:59.000Z

33

Geothermal resource potential of the Socorro Area, New Mexico  

DOE Green Energy (OSTI)

This report provides a regional synthesis of geology, geochemistry, hydrology and geophysical data for the Socorro, New Mexico, area. It is based principally on extensive drill-hole data supplied by, and proprietary to, Gulf Mineral Resources Company and Sunoco Energy Development Co. These temperature-gradient and heat-flow data are integrated with older gradient and heat-flow data, groundwater chemistry, studies of local seismicity, regional and local geologic mapping, and other data. This synthesis yields a revised estimate of the geothermal energy potential for the Socorro area. it should be recalled that attention has been focused on Socorro and vicinity because of reported high heat flow and probable magmatic bodies within the shallow crust. Some 20 man-days of effort have gone into this study, exclusive of time spent earlier in logging temperature gradients and studying drill-hole cuttings.

Petersen, C.A.; Koenig, J.B.

1979-10-01T23:59:59.000Z

34

Table of Exhibits..................................................................................................... iii  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii

Pjm Interconnection

2007-01-01T23:59:59.000Z

35

Biomass for Electricity Generation - Table 3  

U.S. Energy Information Administration (EIA)

Modeling and Analysis Papers> Biomass for Electricity Generation : Biomass for Electricity Generation. Table 3. Biomass Resources by Price: Quantities ...

36

Review of water resource potential for developing geothermal resource sites in the western United States  

DOE Green Energy (OSTI)

Water resources at 28 known geothermal resource areas (KGRAs) in the western United States are reviewed. Primary emphasis is placed upon examination of the waer resources, both surface and ground, that exist in the vicinity of the KGRAs located in the southwestern states of California, Arizona, Utah, Nevada, and New Mexico. In most of these regions water has been in short supply for many years and consequently a discussion of competing demands is included to provide an appropriate perspective on overall usage. A discussion of the water resources in the vicinity of KGRAs in the States of Montana, Idaho, Oregon, and Washington are also included.

Sonnichsen, J.C. Jr.

1980-07-01T23:59:59.000Z

37

Development of an Improved Methodology to Assess Potential Unconventional Gas Resources  

Science Conference Proceedings (OSTI)

Considering the important role played today by unconventional gas resources in North America and their enormous potential for the future around the world, it is vital to both policy makers and industry that the volumes of these resources and the impact of technology on these resources be assessed. To provide for optimal decision making regarding energy policy, research funding, and resource development, it is necessary to reliably quantify the uncertainty in these resource assessments. Since the 1970s, studies to assess potential unconventional gas resources have been conducted by various private and governmental agencies, the most rigorous of which was by the United States Geological Survey (USGS). The USGS employed a cell-based, probabilistic methodology which used analytical equations to calculate distributions of the resources assessed. USGS assessments have generally produced distributions for potential unconventional gas resources that, in our judgment, are unrealistically narrow for what are essentially undiscovered, untested resources. In this article, we present an improved methodology to assess potential unconventional gas resources. Our methodology is a stochastic approach that includes Monte Carlo simulation and correlation between input variables. Application of the improved methodology to the Uinta-Piceance province of Utah and Colorado with USGS data validates the means and standard deviations of resource distributions produced by the USGS methodology, but reveals that these distributions are not right skewed, as expected for a natural resource. Our investigation indicates that the unrealistic shape and width of the gas resource distributions are caused by the use of narrow triangular input parameter distributions. The stochastic methodology proposed here is more versatile and robust than the USGS analytic methodology. Adoption of the methodology, along with a careful examination and revision of input distributions, should allow a more realistic assessment of the uncertainty surrounding potential unconventional gas resources.

Salazar, Jesus; McVay, Duane A., E-mail: mcvay@pe.tamu.edu; Lee, W. John [Texas A and M University, Department of Petroleum Engineering, 3116 TAMU (United States)

2010-12-15T23:59:59.000Z

38

DOE Hydrogen Program Record 5011 - Hydrogen Potential from Solar and Wind Resources  

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

DOE Hydrogen Program Record Record #: 5011 Date: December 15, 2005 Title: Hydrogen Potential from Solar and Wind Resources Items: - Data/resource maps indicate that the potential exists to use wind and solar resources to produce more than 15 times the amount of hydrogen needed to displace the petroleum used by light duty vehicles in 2040. - About one billion metric tons of hydrogen could be produced by renewable electrolysis annually, based upon solar and wind resource potential. - The other three solar pathways - thermochemical, photoelectrochemical, and photobiological - would have similar or possibly higher productivity per unit of land area. Data: Figure 1: Hydrogen Potential from Solar Resources Note: Map shows total kilograms of hydrogen per county, normalized by

39

Evaluation of Potential Bulk System Reliability Impacts of Distributed Resources  

Science Conference Proceedings (OSTI)

In recent years, distributed energy resources (DER) penetration has increased, but projections for penetration over the next 10 years show dramatic increases. Much of this is made up of distributed solar photovoltaic (PV) power, which is estimated to expand significantly in the United States in coming years. This project describes how methods to assess bulk system reliability might need to be altered to account for increasing levels of DER, particularly PV. It also aims to produce mitigating strategies t...

2011-12-21T23:59:59.000Z

40

Potential for Producing Hydrogen from Key Renewable Resources in the United States  

DOE Green Energy (OSTI)

This study estimates the potential for hydrogen production from key renewable resources (onshore wind, solar photovoltaic, and biomass) by county in the United States. It includes maps that allow the reader to easily visualize the results.

Milbrandt, A.; Mann, M.

2006-02-01T23:59:59.000Z

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


41

TABLE OF CONTENTS  

E-Print Network (OSTI)

Table of Contents......i List of Tables.....ii

Ingleside Tx; Base Realignment

2010-01-01T23:59:59.000Z

42

Resource Adequacy Implications of Forthcoming EPA Air Quality Regulations  

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

Resource Adequacy Resource Adequacy Implications of Forthcoming EPA Air Quality Regulations December 2011 RESOURCE ADEQUACY IMPLICATIONS OF FORTHCOMING EPA AIR QUALITY REGULATIONS iii Table of Contents EXECUTIVE SUMMARY ............................................................................................................................... V CHAPTER 1. INTRODUCTION ...................................................................................................................... 1 CHAPTER 2. ALIGNMENT OF POTENTIAL COMPLIANCE PATHWAYS WITH REGULATORY DEADLINES ......... 5 CHAPTER 3. RESOURCE ADEQUACY.......................................................................................................... 15 APPENDIX A: NERC REGIONS ................................................................................................................... 26

43

Preliminary definition of the geothermal resources potential of West Virginia  

DOE Green Energy (OSTI)

Most of West Virginia is underlain by Paleozoic sedimentary rocks. Crystalline rocks are limited to two areas: a small area in the Harpers Ferry region and some basic intrusives and extrusives in Pendleton County. In the Valley and Ridge province the rocks are folded and faulted. The deformation appears to be confined to the sediments overlying the crystalline basement. The Appalachian Basin is characterized by moderately dipping sediments which may reach ticknesses of 7600 meters (25,000 feet) in eastern West Virginia. The 38th parallel fracture zone may extend through West Virginia and serve to localize geothermal resources. Heat flow in West Virginia appears to be rather uniform and in the range of 1.12 to 1.26 heat flow units. Bottomhole temperatures from oil and gas tests show no abnormally hot spots. Warm springs are limited to the eastern portion of West Virginia in the folded Appalachians and appear to be located on the flanks of anticlines at topographic lows. Geothermometry suggests subsurface temperatures in the 45 to 65{sup 0}C (113 to 149{sup 0}F) range. The Appalachian Basin provides a thick sequence of rocks with normal geothermal gradient (18.2{sup 0}C/kilometer, 1{sup 0}F/100 feet). High temperatures are expected at great depths, but production rates are likely to be low. Several oil and gas tests in West Virginia have encountered pressures about twice the normal pressure expected at the depth. However, the overpressured zones appear to be of small extent.

Renner, J.L.; Vaught, T.L.

1979-01-01T23:59:59.000Z

44

Preliminary Assessment of Geothermal Resource Potential at the UTTR  

Science Conference Proceedings (OSTI)

The purpose of this report is to summarize the current state of geologic knowledge concerning potential high-temperature geothermal development on the lands controlled by Hill Air Force Base (HAFB) at the Utah Testing and Training Range (UTTR) and the lands encompassed by the Dugway Proving Grounds (Dugway). This report is based on currently available published and publically available information. Most of the information presented here is purely geologic in nature. Therefore, the logistical issues (such as military exclusion areas, proximity to electrical infrastructure, and access) are additional considerations that are being addressed in a separate report that will be issued to HAFB by the SES corporation.

Richard P. Smith, PhD., PG; Robert P. Breckenridge, PhD.; Thomas R. Wood, PhD.

2011-06-01T23:59:59.000Z

45

Potential Prediction of Favorable Regions about Coal Resources Based on MapGIS in Taiqian Region  

Science Conference Proceedings (OSTI)

MapGIS has been widely applied to many fields in geological discipline as a maturely GIS. Its powerful graphic editing and comprehensive snalysis of spatial data functions make it possible to applied to potential prediction of coal. This paper mainly ... Keywords: MapGIS, Taiqian Region, coal resources, potential prediction

Chen Kuikui; Zhang Chong

2012-05-01T23:59:59.000Z

46

Development of an improved methodology to assess potential unconventional gas resources in North America  

E-Print Network (OSTI)

Since the 1970s, various private and governmental agencies have conducted studies to assess potential unconventional gas resources, particularly those resources contained in tight sands, fractured shales, and coal beds. The US Geological Survey (USGS) has assessed the amount of unconventional gas resources in North America, and its estimates are used by other government agencies as the basis for their resource estimates. While the USGS employs a probabilistic methodology, it is apparent from the resulting narrow ranges that the methodology underestimates the uncertainty of these undiscovered, untested, potential resources, which in turn limits the reliability and usefulness of the assessments. The objective of this research is to develop an improved methodology to assess potential unconventional gas resources that better accounts for the uncertainty in these resources. This study investigates the causes of the narrow ranges generated by the USGS analyticprobabilistic methodology used to prepare the 1995 national oil and gas assessment and the 2000 NOGA series, and presents an improved methodology to assess potential unconventional gas resources. The new model improves upon the USGS method by using a stochastic approach, which includes correlation between the input variables and Monte Carlo simulation, representing a more versatile and robust methodology than the USGS analytic-probabilistic methodology. The improved methodology is applied to the assessment of potential unconventional gas resources in the Uinta-Piceance province of Utah and Colorado, and compared to results of the evaluation performed by the USGS in 2002. Comparison of the results validates the means and standard deviations produced by the USGS methodology, but shows that the probability distributions generated are rather different and, that the USGS distributions are not skewed to right, as expected for a natural resource. This study indicates that the unrealistic shape and width of the resulting USGS probability distributions are not caused by the analytic equations or lack of correlation between input parameters, but rather the use of narrow triangular probability distributions as input variables. Adoption of the improved methodology, along with a careful examination and revision of input probability distributions, will allow a more realistic assessment of the uncertainty surrounding potential unconventional gas resources.

Salazar Vanegas, Jesus

2003-05-01T23:59:59.000Z

47

Resources  

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

Resources / Related Web Sites Resources / Related Web Sites Buildings-Related Resources Windows & Glazing Resources Energy-Related Resources International Resources Telephone Directories Buildings-Related Resources California Institute for Energy Efficiency (CIEE) Center for Building Science (CBS) at LBNL Department of Energy (DOE) DOE Energy Efficiency home page Energy Efficiency and Renewable Energy Clearinghouse Fact sheets in both HTML for standard web browsers and PDF format using Adobe Acrobat Reader (free). National Fenestration Rating Council home page Office of Energy Efficiency and Renewable Energy (EREN) back to top... Windows & Glazing Resources National Glass Association (NGA) LBNL Building Technologies Fenestration R&D news LBNL Center for Building Science (CBS) Newsletter

48

Emergency Operations Table of Contents  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii

unknown authors

2012-01-01T23:59:59.000Z

49

Mineral resource potential and geology of the Challis National Forest, Idaho  

SciTech Connect

This book presents an assessment of the mineral potential of the Challis National Forest based on geological, geochemical, and geophysical data compiled at a 1:250,000 scale and on published information on mineral deposits and occurrences. More than half of the forest has a high to moderate resource potential for one or more of the following commodities: Ag, Au, Ba, Bi, Cu, Mo, Nb, Pb, REE, Ta, Th, Sb, Sn, U, V, W, Zn, fluorspar, geothermal energy, and common variety minerals.

Worl, R.G.; Wilson, A.B.; Smith, C.L.; Kleinkopf, M.D.

1989-01-01T23:59:59.000Z

50

Table Search (or Ranking Tables)  

E-Print Network (OSTI)

Table Search (or Ranking Tables) Alon Halevy Google DBRank @ ICDE March 1, 2010 #12;Structured Data organizations Requires infrastructure, concerns about losing control Hard to find structured data via search Search #1 store locations used cars radio stations patents recipes · Deep = not accessible through

Halevy, Alon

51

Potential for Coal-to-Liquids Conversion in the U.S.-Resource Base  

E-Print Network (OSTI)

Potential for Coal-to-Liquids Conversion in the U.S.-Resource Base Gregory D. Croft1 and Tad W the multi-Hubbert curve analysis to coal production in the United States, we demonstrate that anthracite production of this highest-rank coal. The pro- duction of bituminous coal from existing mines is about 80

Patzek, Tadeusz W.

52

Global Carbon Biomass Tables  

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

Table 1c. Mixed Forest Classes Table 1d. NaturalBurnt Forest Mosaic Classes Table 1e. CropForest Mosaic Classes Table 1f. Shrub Cover Classes Table 1g. Grassland Classes Table...

53

this table  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... Table 1.2 World Petroleum Consumption, 1980-2006 (Thousand Barrels per Day) Page 1980.00 ...

54

Table 4  

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

125 69 112 131 137 158 7.36 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

55

Table 4  

Gasoline and Diesel Fuel Update (EIA)

378 913 993 1,130 1,316 1,625 8.24 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

56

Potential for Hydrogen Production from Key Renewable Resources in the United States  

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

Potential for Hydrogen Production Potential for Hydrogen Production from Key Renewable Resources in the United States A. Milbrandt and M. Mann Technical Report NREL/TP-640-41134 February 2007 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 Potential for Hydrogen Production from Key Renewable Resources in the United States A. Milbrandt and M. Mann Prepared under Task No. H278.2100 Technical Report NREL/TP-640-41134 February 2007 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle Contract No. DE-AC36-99-GO10337 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

57

Chemicals from biomass: an assessment of the potential for production of chemical feedstocks from renewable resources  

DOE Green Energy (OSTI)

This assessment of the potential for production of commodity chemicals from renewable biomass resources is based on (1) a Delphi study with 50 recognized authorities to identify key technical issues relevant to production of chemicals from biomass, and (2) a systems model based on linear programming for a commodity chemicals industry using renewable resources and coal as well as gas and petroleum-derived resources. Results from both parts of the assessment indicate that, in the absence of gas and petroleum, coal undoubtedly would be a major source of chemicals first, followed by biomass. The most attractive biomass resources are wood, agricultural residues, and sugar and starch crops. A reasonable approximation to the current product slate for the petrochemical industry could be manufactured using only renewable resources for feedstocks. Approximately 2.5 quads (10/sup 15/ Btu (1.055 x 10/sup 18/ joules)) per year of oil and gas would be released. Further use of biomass fuels in the industry could release up to an additional 1.5 quads. however, such an industry would be unprofitable under current economic conditions with existing or near-commercial technology. As fossil resources become more expensive and biotechnology becomes more efficient, the economics will be more favorable. Use of the chemicals industry model to evaluate process technologies is demonstrated. Processes are identified which have potential for significant added value to the system if process improvements can be made to improve the economics. Guidelines and recommendations for research and development programs to improve the attractiveness of chemicals from biomass are discussed.

Donaldson, T.L.; Culberson, O.L.

1983-06-01T23:59:59.000Z

58

Kauai, Hawaii: Solar Resource Analysis and High-Penetration PV Potential  

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

956 956 April 2010 Kauai, Hawaii: Solar Resource Analysis and High-Penetration PV Potential Chris Helm and Kari Burman National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-7A2-47956 April 2010 Kauai, Hawaii: Solar Resource Analysis and High-Penetration PV Potential Chris Helm and Kari Burman Prepared under Task No. IDHW.9170 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any

59

Conversion Tables  

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

Carbon Dioxide Information Analysis Center - Conversion Tables Carbon Dioxide Information Analysis Center - Conversion Tables Contents taken from Glossary: Carbon Dioxide and Climate, 1990. ORNL/CDIAC-39, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee. Third Edition. Edited by: Fred O'Hara Jr. 1 - International System of Units (SI) Prefixes 2 - Useful Quantities in CO2 3 - Common Conversion Factors 4 - Common Energy Unit Conversion Factors 5 - Geologic Time Scales 6 - Factors and Units for Calculating Annual CO2 Emissions Using Global Fuel Production Data Table 1. International System of Units (SI) Prefixes Prefix SI Symbol Multiplication Factor exa E 1018 peta P 1015 tera T 1012 giga G 109 mega M 106 kilo k 103 hecto h 102 deka da 10 deci d 10-1 centi c 10-2

60

Resource Assessment of the In-Place and Potentially Recoverable Deep Natural Gas Resource of the Onshore Interior Salt Basins, North Central and Northeastern Gulf of Mexico  

SciTech Connect

The objectives of the study are: to perform resource assessment of the in-place deep (>15,000 ft) natural gas resource of the onshore interior salt basins of the North Central and Northeastern Gulf of Mexico areas through petroleum system identification, characterization and modeling and to use the petroleum system based resource assessment to estimate the volume of the in-place deep gas resource that is potentially recoverable and to identify those areas in the interior salt basins with high potential to recover commercial quantities of the deep gas resource. The principal research effort for Year 1 of the project is data compilation and petroleum system identification. The research focus for the first nine (9) months of Year 1 is on data compilation and for the remainder of the year the emphasis is on petroleum system identification.

Ernest A. Mancini; Donald A. Goddard

2004-10-28T23:59:59.000Z

Note: This page contains sample records for the topic "resource potential tables" 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

Resources  

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

Resources The DOE Information Center's current collection has more than 40,000 documents consisting of technical reports and historical materials that relate to DOE operations....

62

Table 4-3 Site Wide Environmental Management Matrix  

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

Site-Wide Environmental Assessment of Table 4-3. Site-Wide Environmental Management Matrix National Renewable Energy Laboratory's South Table Mountain Complex FINAL POTENTIAL...

63

Potential hydrologic effects of developing coal and other geoenergy resources in Oregon: a review  

DOE Green Energy (OSTI)

Geoenergy resources in Oregon, in addition to coal, include noncommercial deposits of oil shale, natural gas, and geothermal heat. Commercial quantities of natural gas were discovered at Mist in northwestern Oregon in 1979. Gas presently is being produced from five wells and additional exploratory drilling is underway. More than 2 million acres of Oregon land is under lease for petroleum and natural gas exploration, mostly in the Astoria embayment-Willamette syncline, central (Oregon) Paleozoic-Mesozoic basin, and eastern Tertiary nonmarine basin. The Cascade Range and eastern Oregon contain sizable resources of geothermal heat, of which a small part has been developed for space heating at Klamath Falls and Lakeview. Thirteen Known Geothermal Resource Areas (KGRA's) comprising 432,000 acres have been identified, 422,000 acres are currently leased for geothermal development. KGRA's judged to have potential for generation of electrical power are Newberry Crater, Crump Geyser, and Alvord Desert. No adverse hydrologic effects have been noted to date from coal or other geoenergy exploration or development in Oregon, and no effects are expected if federal and state regulations are adhered to. The southwestern Oregon coals would have to be mined by underground methods. Potential hydrologic impacts would be local increases in sedimentation, turbidity, and mineralization of surface and ground water. Water-quality degradation, including both thermal pollution and increased concentrations of dissolved minerals, could result from geothermal development. Other potential problems include land subsidence and consumptive use of water associated with both coal and geothermal development. 53 refs., 3 figs., 1 tab.

Sidle, W.C.

1981-01-01T23:59:59.000Z

64

Resource Assessment of the In-Place and Potentially Recoverable Deep Natural Gas Resource of the Onshore Interior Salt Basins, North Central and Northeastern Gulf of Mexico  

Science Conference Proceedings (OSTI)

The principal research effort for the first half of Year 3 of the project has been resource assessment. Emphasis has been on estimating the total volume of hydrocarbons generated and the potential amount of this resource that is classified as deep (>15,000 ft) gas in the North Louisiana Salt Basin, the Mississippi Interior Salt Basin, the Manila Subbasin and the Conecuh Subbasin. The amount of this resource that has been expelled, migrated and entrapped is also the focus of the first half of Year 3 of this study.

Ernest A. Mancini; Paul Aharon; Donald A. Goddard; Roger Barnaby

2006-04-26T23:59:59.000Z

65

The Impact of Varying Natural Gas Prices on the Potential Distributed Resources Market  

Science Conference Proceedings (OSTI)

Studies of the potential market for distributed resources (DR) have typically assumed that long-term gas rates will increase in a gradual and uniform fashion; however, natural gas rates can peak at very high rates as they did in late 2000 and early 2001. This project studied the response of the DR market to changes in future gas prices in a range of plausible scenarios. It suggests that relatively high natural gas prices and non-uniform annual price fluctuations may strongly affect the size and character...

2002-11-14T23:59:59.000Z

66

Potential of low-temperature geothermal resources in northern California. Report No. TR13  

DOE Green Energy (OSTI)

Economically feasible uses for geothermal heat at temperatures too low for conventional electrical power generation at present are delineated. Several geothermal resource areas in northern California that have development potential are described, and applications of the heat found in each area are suggested. Plates are included of the following field study areas: the east side of the Sierra-Cascade Range north of Bishop, and the northern Coast Range from San Francisco Bay to Clear Lake. The counties included in the study area are Mo doc, Lassen, Sierra, Plumas, Placer, Alpine, Mono, Mendocino, Lake, and Sonoma. (LBS)

Hannah, J.L.

1975-01-01T23:59:59.000Z

67

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

5 5 Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format Excel logo Spreadsheets are provided in excel 1 to117 - Complete set of Supplemental Tables PDF Energy Consumption by Sector (Census Division) Table 1. New England XLS PDF Table 2. Middle Atlantic XLS PDF Table 3. East North Central XLS PDF Table 4. West North Central XLS PDF Table 5. South Atlantic XLS PDF Table 6. East South Central XLS PDF Table 7. West South Central XLS PDF Table 8. Mountain XLS PDF Table 9. Pacific XLS PDF Table 10. Total United States XLS PDF Energy Prices by Sector (Census Division) Table 11. New England XLS PDF Table 12. Middle Atlantic XLS PDF Table 13. East North Central XLS PDF Table 14. West North Central XLS PDF Table 15. South Atlantic XLS PDF Table 16. East South Central

68

TABLE OF CONTENTS TABLE OF CONTENTS ...........................................................................................................................................II  

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

i i ii TABLE OF CONTENTS TABLE OF CONTENTS ...........................................................................................................................................II EXECUTIVE SUMMARY ........................................................................................................................................... 3 INTRODUCTION......................................................................................................................................................... 4 COMPLIANCE SUMMARY ....................................................................................................................................... 6 COMPREHENSIVE ENVIRONMENTAL RESPONSE, COMPENSATION, AND LIABILITY ACT (CERCLA) .................... 6

69

Table 25  

Gasoline and Diesel Fuel Update (EIA)

89 89 Table 25 Created on: 1/3/2014 3:10:33 PM Table 25. Natural gas home customer-weighted heating degree days, New England Middle Atlantic East North Central West North Central South Atlantic Month/Year/Type of data CT, ME, MA, NH, RI, VT NJ, NY, PA IL, IN, MI, OH, WI IA, KS, MN, MO, ND, NE, SD DE, FL, GA, MD, DC, NC, SC, VA, WV November Normal 702 665 758 841 442 2012 751 738 772 748 527 2013 756 730 823 868 511 % Diff (normal to 2013) 7.7 9.8 8.6 3.2 15.6 % Diff (2012 to 2013) 0.7 -1.1 6.6 16.0 -3.0 November to November Normal 702 665 758 841 442 2012 751 738 772 748 527 2013 756 730 823 868 511 % Diff (normal to 2013) 7.7 9.8 8.6 3.2 15.6 % Diff (2012 to 2013) 0.7 -1.1 6.6 16.0 -3.0

70

Assessment of potential domestic fossil-fuel resources for SNG (substitute natural gas) production. Final report, February 1983-August 1984  

Science Conference Proceedings (OSTI)

Quality and availability of naturally occurring resources and industrial by-products which could be gasified and thereby serve as feedstock for SNG plants were studied to identify those resources with the greatest potential for exploitation in this regard. KRSI accumulated information from a large number of literature sources relative to the resources identified by GRI for study. To the extent possible, KRSI then organized this information to highlight for each resource the grades available, typical chemical compositions, quantities and locations of reserves, recovery methods and rates of production and consumption. This information clearly shows that coal is the most practical source of long-term feedstock for SNG in the contiguous USA. Coal resources amount to 84% (by quads) of the energy resources which were studied. In comparison, peat, shale oil and tar sand contain about 11% of the total.

Cover, A.E.; Hubbard, D.A.; Shah, K.V.; Koneru, P.B.

1984-08-01T23:59:59.000Z

71

80 and 100 Meter Wind Energy Resource Potential for the United States (Poster)  

SciTech Connect

Accurate information about the wind potential in each state is required for federal and state policy initiatives that will expand the use of wind energy in the United States. The National Renewable Energy Laboratory (NREL) and AWS Truewind have collaborated to produce the first comprehensive new state-level assessment of wind resource potential since 1993. The estimates are based on high-resolution maps of predicted mean annual wind speeds for the contiguous 48 states developed by AWS Truewind. These maps, at spatial resolution of 200 meters and heights of 60 to 100 meters, were created with a mesoscale-microscale modeling technique and adjusted to reduce errors through a bias-correction procedure involving data from more than 1,000 measurement masts. NREL used the capacity factor maps to estimate the wind energy potential capacity in megawatts for each state by capacity factor ranges. The purpose of this presentation is to (1) inform state and federal policy makers, regulators, developers, and other stakeholders on the availability of the new wind potential information that may influence development, (2) inform the audience of how the new information was derived, and (3) educate the audience on how the information should be interpreted in developing state and federal policy initiatives.

Elliott, D.; Schwartz, M.; Haymes, S.; Heimiller, D.; Scott, G.; Flowers, L.; Brower, M.; Hale, E.; Phelps, B.

2010-05-01T23:59:59.000Z

72

Notices TABLE  

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

7 Federal Register 7 Federal Register / Vol. 76, No. 160 / Thursday, August 18, 2011 / Notices TABLE 2-NET BURDEN CHANGE-Continued 2011-2012 2012-2013 Change % Change Burden disposition Total Applicants .................................... 23,611,500 24,705,864 +1,094,364 +4.63 Net decrease in burden. The increase in applicants is offset by the results of the Department's simplification changes. This has created an over- all decrease in burden of 8.94% or 2,881,475 hours. Total Applicant Burden ......................... 32,239,328 29,357,853 ¥2,881,475 ¥8.94 Total Annual Responses ....................... 32,239,328 46,447,024 +14,207,696 +44.07 Cost for All Applicants .......................... $159,370.20 $234,804.24 $75,434.04 +47.33 The Department is proud that efforts to simplify the FAFSA submission

73

Table 4  

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

4. Mean Annual Electricity Expenditures for Lighting, by Number of 4. Mean Annual Electricity Expenditures for Lighting, by Number of Household Members by Number of Rooms, 1993 (Dollars) Number of Rooms Number of Household Members All Households One to Three Four Five Six Seven Eight or More RSE Column Factors: 0.5 1.8 1.1 0.9 0.9 1.0 1.2 RSE Row Factors All Households................................... 83 49 63 76 87 104 124 2.34 One..................................................... 55 44 51 54 69 78 87 5.33 Two..................................................... 80 56 63 77 82 96 107 3.38 Three.................................................. 92 60 73 82 95 97 131 4.75 Four.................................................... 106 64 78 93 96 124 134 4.53 Five or More....................................... 112 70 83 98 99 117 150 5.89 Notes: -- To obtain the RSE percentage for any table cell, multiply the

74

Potential environmental hazards associated with geopressured-geothermal resource development in coastal Louisiana  

Science Conference Proceedings (OSTI)

Gulf Coast high temperature (> 275 F) geopressured brines are more or less saturated with dissolved natural gas. These can be exploited at high flow rated (> 20,000 barrels per day) using wells completed with modified conventional technology for extracting gas from brine. Surface subsidence, fault reactivation, induced subsurface faulting and fracturing, brine spills, wetland loss, and the contamination of fresh water aquifers are the major potential hazards involved in this resource development which were all taken into consideration for implementing the environmental monitoring program being currently carried out at the well test sites. High volume production from a geopressured reservoir causes depressurization, compaction, and dewatering which could translate into surface subsidence rates that are greater than base line rates unless pressure is maintained by water ingress at the boundaries of producing reservoirs. Subsidence is of critical concern in coastal Louisiana where much of the land surface is at or below sea level. Increased subsidence will result in urban flooding, wetland loss, and loss of ecosystem habitats. Induced stresses could result in new faulting and fracturing enabling fluid flow between previously unconnected reservoirs and possibly contaminating fresh water aquifers. Fault displacements and minor earth movements can be detected with microseismic monitoring which is being done. Brine spills at well sites which could not be contained within levees will seriously impact the surrounding marshes and some minor wetland loss may occur in establishing production sites. Continued no major environmental impact attributable to resource testing.

John, C.J.; Groat, C.G.; Lindstedt, D.; Jensen, B. (Louisiana Geological Survey, Baton Rouge, LA (United States))

1992-01-01T23:59:59.000Z

75

RESOURCE ASSESSMENT OF THE IN-PLACE AND POTENTIALLY RECOVERABLE DEEP NATURAL GAS RESOURCE OF THE ONSHORE INTERIOR SALT BASINS, NORTH CENTRAL AND NORTHEASTERN GULF OF MEXICO  

Science Conference Proceedings (OSTI)

The University of Alabama and Louisiana State University have undertaken a cooperative 3-year, advanced subsurface methodology resource assessment project, involving petroleum system identification, characterization and modeling, to facilitate exploration for a potential major source of natural gas that is deeply buried (below 15,000 feet) in the onshore interior salt basins of the North Central and Northeastern Gulf of Mexico areas. The project is designed to assist in the formulation of advanced exploration strategies for funding and maximizing the recovery from deep natural gas domestic resources at reduced costs and risks and with minimum impact. The results of the project should serve to enhance exploration efforts by domestic companies in their search for new petroleum resources, especially those deeply buried (below 15,000 feet) natural gas resources, and should support the domestic industry's endeavor to provide an increase in reliable and affordable supplies of fossil fuels. The principal research effort for Year 1 of the project is data compilation and petroleum system identification. The research focus for the first nine (9) months of Year 1 is on data compilation and for the remainder of the year the emphasis is on petroleum system identification. The objectives of the study are: to perform resource assessment of the in-place deep (>15,000 ft) natural gas resource of the onshore interior salt basins of the North Central and Northeastern Gulf of Mexico areas through petroleum system identification, characterization and modeling and to use the petroleum system based resource assessment to estimate the volume of the in-place deep gas resource that is potentially recoverable and to identify those areas in the interior salt basins with high potential to recover commercial quantities of the deep gas resource. The project objectives will be achieved through a 3-year effort. First, emphasis is on petroleum system identification and characterization in the North Louisiana Salt Basin, the Mississippi Interior Salt Basin, the Manila Sub-basin and the Conecuh Sub-basin of Louisiana, Mississippi, Alabama and Florida panhandle. This task includes identification of the petroleum systems in these basins and the characterization of the overburden, source, reservoir and seal rocks of the petroleum systems and of the associated petroleum traps. Second, emphasis is on petroleum system modeling. This task includes the assessment of the timing of deep (>15,000 ft) gas generation, expulsion, migration, entrapment and alteration (thermal cracking of oil to gas). Third, emphasis is on resource assessment. This task includes the volumetric calculation of the total in-place hydrocarbon resource generated, the determination of the volume of the generated hydrocarbon resource that is classified as deep (>15,000 ft) gas, the estimation of the volume of deep gas that was expelled, migrated and entrapped, and the calculation of the potential volume of gas in deeply buried (>15,000 ft) reservoirs resulting from the process of thermal cracking of liquid hydrocarbons and their transformation to gas in the reservoir. Fourth, emphasis is on identifying those areas in the onshore interior salt basins with high potential to recover commercial quantities of the deep gas resource.

Ernest A. Mancini

2004-04-16T23:59:59.000Z

76

1992 CBECS Detailed Tables  

Gasoline and Diesel Fuel Update (EIA)

Detailed Tables Detailed Tables To download all 1992 detailed tables: Download Acrobat Reader for viewing PDF files. Yellow Arrow Buildings Characteristics Tables (PDF format) (70 tables, 230 pages, file size 1.39 MB) Yellow Arrow Energy Consumption and Expenditures Tables (PDF format) (47 tables, 208 pages, file size 1.28 MB) Yellow Arrow Energy End-Use Tables (PDF format) (6 tables, 6 pages, file size 31.7 KB) Detailed tables for other years: Yellow Arrow 1999 CBECS Yellow Arrow 1995 CBECS Background information on detailed tables: Yellow Arrow Description of Detailed Tables and Categories of Data Yellow Arrow Statistical Significance of Data 1992 Commercial Buildings Energy Consumption Survey (CBECS) Detailed Tables Data from the 1992 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables:

77

On the global economic potentials and marginal costs of non-renewable resources and the price dynamics of energy commodities  

E-Print Network (OSTI)

A model is presented in this work for simulating endogenously the evolution of the marginal costs of production of energy carriers from non-renewable resources, their consumption, depletion pathways and timescales. Such marginal costs can be used to simulate the long term average price formation of energy commodities. Drawing on previous work where a global database of energy resource economic potentials was constructed, this work uses cost distributions of non-renewable resources in order to evaluate global flows of energy commodities. A mathematical framework is given to calculate endogenous flows of energy resources given an exogenous commodity price path. This framework can be used in reverse in order to calculate an exogenous marginal cost of production of energy carriers given an exogenous carrier demand. Using rigid price inelastic assumptions independent of the economy, these two approaches generate limiting scenarios that depict extreme use of natural resources. This is useful to characterise the cur...

Mercure, Jean-Francois

2013-01-01T23:59:59.000Z

78

chapter 5. Detailed Tables  

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

5. Detailed Tables 5. Detailed Tables Chapter 5. Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1994 Residential Transportation Energy Consumption Survey. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle-miles traveled (VMT) or gallons consumed; (2) tables of per household statistics such as VMT per household; and (3) tables of per-vehicle statistics, such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model-year data or family-income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table.

79

Certification and Training Requirements Table of Contents  

E-Print Network (OSTI)

Table of Exhibits..................................................................................................... iii

unknown authors

2008-01-01T23:59:59.000Z

80

New Wind Energy Resource Potential Estimates for the United States (Presentation)  

DOE Green Energy (OSTI)

This presentation provides an overview of the wind energy resource mapping efforts conducted at NREL and by Truepower.

Elliott, D.; Schwartz, M.; Haymes, S.; Heimiller, D.; Scott, G.; Brower, M.; Hale, E.; Phelps, B.

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource potential tables" 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

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2004 Appendix tables A2 and A3,...

82

Supplement Tables - Supplemental Data  

Annual Energy Outlook 2012 (EIA)

are in spreadsheet format. A total of one hundred and nine tables is presented. The data for tables 10 and 20 match those published in AEO2003 Appendix tables A2 and A3,...

83

Meson Summary Table See  

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

Meson Summary Table See also the table of suggested qq quark-model assignments in the Quark Model section. * Indicates particles that appear in the preceding Meson Summary Table....

84

Supplement Tables - Supplemental Data  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Economy Table 57. New Light-Duty Vehicle Prices Table 58. New Light-Duty Vehicle Range Table 59. Electric Power Projections for EMM Region 01- East Central Area...

85

Assessment of the Potential for the Direct Application of Renewable Resources. Staff Issue Paper  

DOE Green Energy (OSTI)

This issue paper is intended to take a general look at the direct application of renewable resources. The focus of the paper is to provide background information on what is currently known about these resources. The Council is interested in comments to supplement the information discussed in this paper. Perhaps more importantly, the Council is looking for recommendations on how to treat these resources in the next power plan. The Council is faced with at least two important questions related to this issue. First, should the Council attempt to develop detailed supply curves for these resources? Second, should programs be developed to encourage the acquisition of these resources? The direct application of renewable resources is generally defined as the use of a renewable resource such as solar, hydro, wind, geothermal and biomass for the direct reduction of electrical energy use by a consumer. While there have been previous staff analysis of these resources they have not been explicitly treated in previous power plans. Given the renewed emphasis on evaluating the environmental consequences of resource development, these relatively benign resources merit further analysis. This paper will provide the basis for treatment of direct application of renewable resources in the 1990 Power Plan. Most of these resources tend to be site specific and typically require large collection areas to capture a significant amount of energy. Because of high fixed installation costs, they also tend to be most cost effective with higher usage. These characteristics generally prevent widespread regional application and limit the size of any particular resource. Early programs designed to encourage these resources focused on individual end use applications. However, given the unique characteristics of these resources, it is likely that future programs will treat these resources as one option among several conservation measures applied to a given end use or sector. Several of the direct application of renewable resources appear cost effective today or are close enough to justify further analysis. Examples include solar domestic water heating, passive solar heating east of the cascades, geothermal heating systems and daylighting in commercial buildings. This paper will examine these uses of direct application of renewable resources as well as others in detail and will provide recommendations for treatment in the 1990 Power Plan.

None

1989-10-16T23:59:59.000Z

86

All Consumption Tables  

U.S. Energy Information Administration (EIA)

2010 Consumption Summary Tables. Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2010 (Trillion Btu) ... Ranked by State, 2010

87

1995 Detailed Tables  

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

Households, Buildings & Industry > Commercial Buildings Energy Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey > Detailed Tables 1995 Detailed Tables Data from the 1995 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables: Buildings Characteristics Tables, number of buildings and amount of floorspace for major building characteristics. Energy Consumption and Expenditures Tables, energy consumption and expenditures for major energy sources. Energy End-Use Data, total, electricity and natural gas consumption and energy intensities for nine specific end-uses. Summary Table—All Principal Buildings Activities (HTML Format) Background information on detailed tables: Description of Detailed Tables and Categories of Data Statistical Significance of Data

88

Additional Resources for Estimating Building Energy and Cost Savings to  

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

Additional Resources for Estimating Building Energy and Cost Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases October 7, 2013 - 11:06am Addthis For evaluating greenhouse gas reduction strategies and estimating costs, the following information resources can help Federal agencies estimate energy and cost savings potential by building type. When deciding what resource to use for developing energy- and cost-savings estimates, a program should consider items detailed in Table 1. Table 1.Resources for Estimating Energy Savings Resource Items to consider Advanced Energy Retrofit Guides Based on representative building models of commercial buildings. Guidance available for a limited number of building types using the most common technologies.

89

Just enough tabling  

Science Conference Proceedings (OSTI)

We introduce just enough tabling (JET), a mechanism to suspend and resume the tabled execution of logic programs at an arbitrary point. In particular, JET allows pruning of tabled logic programs to be performed without resorting to any recomputation. ... Keywords: logic programming, pruning, suspension/resumption in the WAM, tabling

Konstantinos Sagonas; Peter J. Stuckey

2004-08-01T23:59:59.000Z

90

Potential Impact of Climate Change on Natural Resources in the Tennessee Valley Authority Region  

Science Conference Proceedings (OSTI)

This report addresses the impacts of changes in climate on water resources, agriculture, forests, outdoor recreation, ecological resources, and air quality in the Tennessee Valley Authority (TVA) region that could be reasonably anticipated to occur over the course of the 21st century assuming a medium greenhouse gas emissions projection. The emphasis is on those effects likely to occur in the next 10 to 40 years, which are likely to be modestlonger range predictions are much more uncertain.

2009-11-01T23:59:59.000Z

91

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. MS Excel Viewer Spreadsheets are provided in excel Errata - August 25, 2004 1 to117 - Complete set of of Supplemental Tables PDF Table 1. Energy Consumption by Source and Sector (New England) XLS PDF Table 2. Energy Consumption by Source and Sector (Middle Atlantic) XLS PDF Table 3. Energy Consumption by Source and Sector (East North Central) XLS PDF Table 4. Energy Consumption by Source and Sector (West North Central) XLS PDF Table 5. Energy Consumption by Source and Sector (South Atlantic) XLS PDF Table 6. Energy Consumption by Source and Sector (East South Central) XLS PDF Table 7. Energy Consumption by Source and Sector (West South Central) XLS PDF Table 8. Energy Consumption by Source and Sector (Mountain)

92

1999 CBECS Detailed Tables  

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

Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables 1999 CBECS Detailed Tables Building Characteristics | Consumption & Expenditures Data from the 1999 Commercial Buildings Energy Consumption Survey (CBECS) are presented in the Building Characteristics tables, which include number of buildings and total floorspace for various Building Characteristics, and Consumption and Expenditures tables, which include energy usage figures for major energy sources. A table of Relative Standard Errors (RSEs) is included as a worksheet tab in each Excel tables. Complete sets of RSE tables are also available in .pdf format. (What is an RSE?) Preliminary End-Use Consumption Estimates for 1999 | Description of 1999 Detailed Tables and Categories of Data

93

Mineral and geothermal resource potential of Wild Cattle Mountain and Heart Lake roadless areas Plumas, Shasta, and Tehama Counties, California  

DOE Green Energy (OSTI)

The results of geological, geochemical, and geophysical surveys in Wild Cattle Mountain and Heart Lake Roadless Areas indicate no potential for metallic or non-metallic mineral resources in the areas and no potential for coal or petroleum energy resources. However, Wild Cattle Mountain Roadless Area and part of Heart Lake Roadless Area lie in Lassen Known Geothermal Resources Area, and much of the rest of Heart Lake Roadless Area is subject to non-competitive geothermal lease applications. Both areas are adjacent to Lassen Volcanic National Park, which contains extensive areas of fumaroles, hot springs, and hydrothermally altered rock; voluminous silicic volcanism occurred here during late Pleistocene and Holocene time. Geochemical data and geological interpretation indicate that the thermal manifestations in the Park and at Morgan and Growler Hot Springs (immediately west of Wild Cattle Mountain Roadless Area) are part of the same large geothermal system. Consequently, substantial geothermal resources are likely to be discovered in Wild Cattle Mountain Roadless Area and cannot be ruled out for Heart Lake Roadless Area.

Muffler, L.J.P.; Clynne, M.A.; Cook, A.L.

1982-01-01T23:59:59.000Z

94

Review of the potential for biomass resources and conversion technology. Final report, Jan-Jul 83  

SciTech Connect

Biomass resources include dedicated energy crops, forestry/agricultural residues, and certain organic fractions of wastes. The magnitude of the resource base, the extent to which it can be devoted to methane production, the quantity of methane that can be produced, and the cost of the methane are issues that are addressed in this study. Research needs include improvement of agricultural production methods, especially regarding problems caused by the seasonal nature of biomass production. Reduction of capital investment per unit of methane could be achieved by development of membrane gas clean up systems or combination biomass storage/fermentation systems, are examples of advanced technologies.

Lipinsky, E.S.; Jenkins, D.M.; Young, B.A.; Sheppard, W.J.

1983-07-01T23:59:59.000Z

95

A Comparison of hospitality human resources practices in Greece and the United States: An analysis of human resources practices and the potential effects on service quality.  

E-Print Network (OSTI)

??Proper approaches to managing an organizations human resources are becoming more and more scientific. Most human resource managers would agree that the selection, training, and (more)

Philippakos, John

2009-01-01T23:59:59.000Z

96

Toward Production From Gas Hydrates: Current Status, Assessment of Resources, and Simulation-Based Evaluationof Technology and Potential  

SciTech Connect

Gas hydrates are a vast energy resource with global distribution in the permafrost and in the oceans. Even if conservative estimates are considered and only a small fraction is recoverable, the sheer size of the resource is so large that it demands evaluation as a potential energy source. In this review paper, we discuss the distribution of natural gas hydrate accumulations, the status of the primary international R&D programs, and the remaining science and technological challenges facing commercialization of production. After a brief examination of gas hydrate accumulations that are well characterized and appear to be models for future development and gas production, we analyze the role of numerical simulation in the assessment of the hydrate production potential, identify the data needs for reliable predictions, evaluate the status of knowledge with regard to these needs, discuss knowledge gaps and their impact, and reach the conclusion that the numerical simulation capabilities are quite advanced and that the related gaps are either not significant or are being addressed. We review the current body of literature relevant to potential productivity from different types of gas hydrate deposits, and determine that there are consistent indications of a large production potential at high rates over long periods from a wide variety of hydrate deposits. Finally, we identify (a) features, conditions, geology and techniques that are desirable in potential production targets, (b) methods to maximize production, and (c) some of the conditions and characteristics that render certain gas hydrate deposits undesirable for production.

Reagan, Matthew; Moridis, George J.; Collett, Timothy; Boswell, Ray; Kurihara, M.; Reagan, Matthew T.; Koh, Carolyn; Sloan, E. Dendy

2008-02-12T23:59:59.000Z

97

Cost Development Guidelines Table of Contents  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii Table of Exhibits...................................................................................................... v Approval.................................................................................................................. vi

unknown authors

2011-01-01T23:59:59.000Z

98

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

December 22, 2000 (Next Release: December, 2001) Related Links Annual Energy Outlook 2001 Assumptions to the AEO2001 NEMS Conference Contacts Forecast Homepage EIA Homepage AEO Supplement Reference Case Forecast (1999-2020) (HTML) Table 1. Energy Consumption by Source and Sector (New England) Table 2. Energy Consumption by Source and Sector (Middle Atlantic) Table 3. Energy Consumption by Source and Sector (East North Central) Table 4. Energy Consumption by Source and Sector (West North Central) Table 5. Energy Consumption by Source and Sector (South Atlantic) Table 6. Energy Consumption by Source and Sector (East South Central) Table 7. Energy Consumption by Source and Sector (West South Central) Table 8. Energy Consumption by Source and Sector (Mountain)

99

Table of Contents  

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

COMMUNICATIONS REQUIREMENTS OF SMART GRID TECHNOLOGIES October 5, 2010 i Table of Contents I. Introduction and Executive Summary......

100

FY 2005 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) Table of Contents Summary...................................................................................................... 1 Mandatory Funding....................................................................................... 3 Energy Supply.............................................................................................. 4 Non-Defense site acceleration completion................................................... 6 Uranium enrichment D&D fund.................................................................... 6 Non-Defense environmental services.......................................................... 6 Science.........................................................................................................

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


101

CBECS Buildings Characteristics --Revised Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 37. Refrigeration Equipment, Number of Buildings and Floorspace, 1995 Table 38. Water-Heating Equipment, Number of Buildings and Floorspace, 1995 Table 39. Lighting...

102

CBECS Buildings Characteristics --Revised Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 25. Cooling Energy Sources, Number of Buildings and Floorspace, 1995 Table 26. Water-Heating Energy Sources, Number of Buildings, 1995 Table 27. Water-Heating Energy...

103

Potential use of geothermal resources in the Snake River Basin: an environmental overview. Volume I  

DOE Green Energy (OSTI)

Environmental baseline data for the Snake River Plain known geothermal resource areas (KGRAs) are evaluated for geothermal development. The objective is to achieve a sound data base prior to geothermal development. These KGRAs are: Vulcan Hot Springs, Crane Creek, Castle Creek, Bruneau, Mountain Home, Raft River, Island Park, and Yellowstone. Air quality, meteorology, hydrology, water quality, soils, land use, geology, subsidence, seismicity, terrestrial and aquatic ecology, demography, socioeconomics, and heritage resources are analyzed. This program includes a summary of environmental concerns related to geothermal development in each of the KGRAs, an annotated bibliography of reference materials (Volume II), detailed reports on the various program elements for each of the KGRAs, a program plan identifying future research needs, and a comprehensive data file.

Spencer, S.G.; Russell, B.F.; Sullivan, J.F. (eds.)

1979-09-01T23:59:59.000Z

104

GHG REDUCTION POTENTIAL OF BIOGAS RESOURCE UTILZATION IN HOLBKS HEATING AND ELECTRICITY SECTOR.  

E-Print Network (OSTI)

??This project is set out to identify the GHG reduction potentials of the 3 identified biogas plants in the Holbk municipality. The GHG reduction of (more)

DAO, THI THU HUONG DIU

2013-01-01T23:59:59.000Z

105

U.S. State Wind Resource Potential

Open Energy Info (EERE)

from development of the "available" windy land area after exclusions. The "Installed Capacity" shows the potential megawatts (MW) of rated capacity that could be...

106

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Homepage Homepage Supplement Tables to the AEO2001 The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2001 (AEO2001) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2001, but contain regional and other more detailed projections underlying the AEO2001 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables is presented. The data for tables 10 and 20 match those published in AEO2001 Appendix tables A2 and A3, respectively. Forecasts for 1999 and 2000 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

107

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

The AEO Supplementary tables were generated for the reference case of the The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2002 (AEO2002) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2002, but contain regional and other more detailed projections underlying the AEO2002 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seven tables is presented. The data for tables 10 and 20 match those published in AEO2002 Appendix tables A2 and A3, respectively. Forecasts for 2000-2002 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current

108

Table of Contents PJM Manual [18]: PJM Capacity Market  

E-Print Network (OSTI)

Table of Contents Table of Contents..................................................................................................... ii

unknown authors

2008-01-01T23:59:59.000Z

109

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. The data for tables 10 and 20 match those published in AEO200 Appendix tables A2 and A3, respectively. Forecasts for 1998, and 2000 may differ slightly from values published in the Short Term Energy Outlook, Fourth Quarter 1999 or Short Term Energy Outlook, First Quarter 2000, which are the official EIA short-term forecasts and are based on more current information than the AEO.

110

Workshop on Satellites for Solar Energy Resource Information -Washington, DC, April 10-11, 1996 POTENTIALS OF IMAGES FROM GEOSTATIONARY SATELLITE DATA FOR THE  

E-Print Network (OSTI)

Workshop on Satellites for Solar Energy Resource Information - Washington, DC, April 10-11, 1996, DC : United States (1996)" #12;Potentials of images for the assessment of advanced of solar energy parameters - L. Wald 2 Workshop on Satellites for Solar Energy Resource Information - Washington, DC, April

Paris-Sud XI, Université de

111

Resource Assessment of the In-Place and Potentially Recoverable Deep Natural Gas Resource of the Onshore Interior Salt Basins, North Central and Northeastern Gulf of Mexico  

Science Conference Proceedings (OSTI)

The objectives of the study were: (1) to perform resource assessment of the thermogenic gas resources in deeply buried (>15,000 ft) natural gas reservoirs of the onshore interior salt basins of the north central and northeastern Gulf of Mexico areas through petroleum system identification, characterization and modeling; and (2) to use the petroleum system based resource assessment to estimate the volume of the deep thermogenic gas resource that is available for potential recovery and to identify those areas in the interior salt basins with high potential for this thermogenic gas resource. Petroleum source rock analysis and petroleum system characterization and modeling, including thermal maturation and hydrocarbon expulsion modeling, have shown that the Upper Jurassic Smackover Formation served as the regional petroleum source rock in the North Louisiana Salt Basin, Mississippi Interior Salt Basin, Manila Subbasin and Conecuh Subbasin. Thus, the estimates of the total hydrocarbons, oil, and gas generated and expelled are based on the assumption that the Smackover Formation is the main petroleum source rock in these basins and subbasins. The estimate of the total hydrocarbons generated for the North Louisiana Salt Basin in this study using a petroleum system approach compares favorably with the total volume of hydrocarbons generated published by Zimmermann (1999). In this study, the estimate is 2,870 billion barrels of total hydrocarbons generated using the method of Schmoker (1994), and the estimate is 2,640 billion barrels of total hydrocarbons generated using the Platte River software application. The estimate of Zimmermann (1999) is 2,000 to 2,500 billion barrels of total hydrocarbons generated. The estimate of gas generated for this basin is 6,400 TCF using the Platte River software application, and 12,800 TCF using the method of Schmoker (1994). Barnaby (2006) estimated that the total gas volume generated for this basin ranges from 4,000 to 8,000 TCF. Seventy-five percent of the gas is estimated to be from late cracking of oil in the source rock. Lewan (2002) concluded that much of the thermogenic gas produced in this basin is the result of cracking of oil to gas in deeply buried reservoirs. The efficiency of expulsion, migration and trapping has been estimated to range from 0.5 to 10 percent for certain basins (Schmoker, 1994: Zimmerman, 1999). The estimate of the total hydrocarbons generated for the Mississippi Interior Salt Basin is 910 billion barrels using the method of Schmoker (1994), and the estimate of the total hydrocarbons generated is 1,540 billion barrels using the Platte River software application. The estimate of gas generated for this basin is 3,130 TCF using the Platte River software application, and 4,050 TCF using the method of Schmoker (1994). Seventy-five percent of the gas is estimated to be from late cracking of oil in the source rock. Claypool and Mancini (1989) report that the conversion of oil to gas in reservoirs is a significant source of thermogenic gas in this basin. The Manila and Conecuh Subbasins are oil-prone. Although these subbasins are thermally mature for oil generation and expulsion, they are not thermally mature for secondary, non-associated gas generation and expulsion. The gas produced from the highly productive gas condensate fields (Big Escambia Creek and Flomaton fields) in these subbasins has been interpreted to be, in part, a product of the cracking of oil to gas and thermochemical reduction of evaporite sulfate in the reservoirs (Claypool and Mancini, 1989). The areas in the North Louisiana and Mississippi Interior Salt Basins with high potential for deeply buried gas reservoirs (>15,000 ft) have been identified. In the North Louisiana Salt Basin, these potential reservoirs include Upper Jurassic and Lower Cretaceous facies, especially the Smackover, Cotton Valley, Hosston, and Sligo units. The estimate of the secondary, non-associated gas generated from cracking of oil in the source rock from depths below 12,000 feet in this basin is 4,800 TCF. Assuming an expul

Ernest A. Mancini

2006-09-30T23:59:59.000Z

112

FY 2005 Laboratory Table  

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

Congressional Budget Congressional Budget Request Laboratory Tables Preliminary Department of Energy FY 2005 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Laboratory Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. include both the discretionary and mandatory funding in the budget. balances, deferrals, rescissions, or other adjustments appropria ted as offsets to the DOE appropriations by the Congress.

113

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Supplemental Tables to the Annual Energy Outlook 2005 Supplemental Tables to the Annual Energy Outlook 2005 EIA Glossary Supplemental Tables to the Annual Energy Outlook 2005 Release date: February 2005 Next release date: February 2006 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2005 (AEO2005) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2003 to 2025. Most of the tables were not published in the AEO2005, but contain regional and other more detailed projections underlying the AEO2005 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2005 Appendix tables A2 and A3, respectively. Forecasts for 2003-2005 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

114

Table of Contents  

Science Conference Proceedings (OSTI)

Table of Contents. A, B. 1, USGCB Settings. 2, This spreadsheet captures the USGCB defined configuration settings. 3, Tab Name, Tab Description. ...

2013-11-19T23:59:59.000Z

115

FY 2007 State Table  

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

Department of Energy FY 2007 Congressional Budget Request February 2006 Office of Chief Financial Officer state tables preliminary Department of Energy FY 2007 Congressional Budget...

116

Tables - Refinery Capacity Report  

U.S. Energy Information Administration (EIA)

Tables: 1: Number and Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2009: PDF: 2: Production Capacity of Operable ...

117

Evaluating the language resources of chatbots for their potential in english as a second language  

Science Conference Proceedings (OSTI)

This paper investigates the linguistic worth of current chatbot programs software programs which attempt to hold a conversation, or interact, in English as a precursor to their potential as an ESL (English as a second language) ... Keywords: CALL, ESL, chatbots, linguistic accuracy

David Coniam

2008-01-01T23:59:59.000Z

118

Resource recovery potential from secondary components of segregated municipal solid wastes  

E-Print Network (OSTI)

for decentralized biogas plants to be operated in the vicinity. We characterized the fermen- tation potential of six differently for each of the feedstocks to obtain a higher gas recovery. Bagasse produced the largest fraction-systems. The existing centralized collection and open landfill systems are gradually becoming expensive and will need

Columbia University

119

Potential growth of electric power production from Imperial Valley geothermal resources  

DOE Green Energy (OSTI)

The growth of geothermal electric power operations in Imperial Valley, California is projected over the next 40 years. With commercial power forecast to become available in the 1980's, the scenario considers three subsequent growth rates: 40, 100, and 250 MW per year. These growth rates, along with estimates of the total resource size, result in a maximum level of electric power production ranging from 1000 to 8000 MW to be attained in the 2010 to 2020 time period. Power plant siting constraints are developed and used to make siting patterns for the 400- through 8000-MW level of power production. Two geothermal technologies are included in the scenario: flashed steam systems that produce cooling water from the geothermal steam condensate and emit noncondensable gases to the atmosphere; and high pressure, confined flow systems that inject the geoghermal fluid back into the ground. An analysis of the scenario is made with regard to well drilling and power plant construction rates, land use, cooling water requirements, and hydrogen sulfide emissions.

Ermak, D.L.

1977-09-30T23:59:59.000Z

120

2003 CBECS RSE Tables  

Gasoline and Diesel Fuel Update (EIA)

cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" type=text/css rel=stylesheet> Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > 2003 Detailed Tables > RSE Tables 2003 CBECS Relative Standard Error (RSE) Tables Released: Dec 2006 Next CBECS will be conducted in 2007 Standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used to construct confidence intervals and to perform hypothesis tests by standard statistical methods. Relative Standard Error (RSE) is defined as the standard error (square root of the variance) of a survey estimate, divided by the survey estimate and multiplied by 100. (More information on RSEs)

Note: This page contains sample records for the topic "resource potential tables" 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

Hypothesis testing for resource evaluation: an application to geothermal potential estimation in Nevada  

DOE Green Energy (OSTI)

A hypothesis testing methodology for the statistical integration of diverse data types has been further investigated. In an earlier study the technique was developed and applied, with limited data, to evaluation of the geothermal potential of Nevada. That effort has been extended in this report to include the implementation of data on major lineaments and surface lithology. Information from the new data bases is integrated with that from the seismicity and small scale linear data previously studied. The new data added in this study has improved the results considerably. A number of new areas appropriate for further, more detailed geophysical investigation are indicated by high likelihood ratios.

Parr, J.T.

1978-10-01T23:59:59.000Z

122

State and National Wind Resource Potential at Various Capacity Factor Ranges for 80 and 100 Meters  

Wind Powering America (EERE)

February 4, 2010 (updated April 13, 2011 to add Alaska and Hawaii) February 4, 2010 (updated April 13, 2011 to add Alaska and Hawaii) State Total (km 2 ) Excluded 2 (km 2 ) Available (km 2 ) Available % of State % of Total Windy Land Excluded Installed Capacity 3 (MW) Annual Generation (GWh) Alabama 15.9 13.3 2.6 0.00% 83.4% 13.2 42 Alaska 267,897.7 209,673.4 58,224.3 3.87% 78.3% 291,121.3 1,051,210 Arizona 611.7 417.3 194.4 0.07% 68.2% 972.1 3,100 Arkansas 1,130.0 687.5 442.5 0.32% 60.8% 2,212.5 7,215 C lif i 11 456 4 8 650 1 2 806 3 0 69% 75 5% 14 031 7 49 073 Estimates of Windy 1 Land Area and Wind Energy Potential, by State, for areas >= 35% Capacity Factor at 80m These estimates show, for each of the 50 states and the total U.S., the windy land area with a gross capacity factor (without losses) of 35% and greater at 80-m height above ground and the wind energy potential that could be possible from development of the "available" windy land area

123

Urea for SCR-based NOx Control Systems and Potential Impacts to Ground Water Resources  

DOE Green Energy (OSTI)

One of the key challenges facing manufacturers of diesel engines for light- and heavy-duty vehicles is the development of technologies for controlling emissions of nitrogen oxides, In this regard, selective catalytic reduction (SCR) systems represent control technology that can potentially achieve the NOx removal efficiencies required to meet new U.S. EPA standards. SCR systems rely on a bleed stream of urea solution into exhaust gases prior to catalytic reduction. While urea's role in this emission control technology is beneficial, in that it supports reduced NOx emissions, it can also be an environmental threat to ground water quality. This would occur if it is accidentally released to soils because once in that environmental medium, urea is subsequently converted to nitrate--which is regulated under the U.S. EPA's primary drinking water standards. Unfortunately, nitrate contamination of ground waters is already a significant problem across the U.S. Historically, the primary sources of nitrate in ground waters have been septic tanks and fertilizer applications. The basic concern over nitrate contamination is the potential health effects associated with drinking water containing elevated levels of nitrate. Specifically, consumption of nitrate-contaminated water can cause a blood disorder in infants known as methemoglobinemia.

Layton, D.

2002-01-03T23:59:59.000Z

124

Potential effects of the Hawaii geothermal project on ground-water resources on the Island of Hawaii  

DOE Green Energy (OSTI)

This report provides data and information on the quantity and quality of ground-water resources in and adjacent to proposed geothermal development areas on the Island of Hawaii Geothermal project for the development of as much as 500 MW of electric power from the geothermal system in the East Rift Zone of Kilauea Volcano. Data presented for about 31 wells and 8 springs describe the chemical, thermal, and hydraulic properties of the ground-water system in and adjacent to the East Rift Zone. On the basis of this information, potential effects of this geothermal development on drawdown of ground-water levels and contamination of ground-water resources are discussed. Significant differences in ground-water levels and in the salinity and temperature of ground water within the study area appear to be related to mixing of waters from different sources and varying degrees of ground-water impoundment by volcanic dikes. Near Pahoa and to the east, the ground-water system within the rift is highly transmissive and receives abundant recharge from precipitation; therefore, the relatively modest requirements for fresh water to support geothermal development in that part of the east rift zone would result in minimal effects on ground-water levels in and adjacent to the rift. To the southwest of Pahoa, dike impoundment reduces the transmissivity of the ground-water system to such an extent that wells might not be capable of supplying fresh water at rates sufficient to support geothermal operations. Water would have to be transported to such developments from supply systems located outside the rift or farther downrift. Contaminant migration resulting from well accidents could be rapid because of relatively high ground-water velocities in parts of the region. Hydrologic monitoring of observation wells needs to be continued throughout development of geothermal resources for the Hawaii Geothermal Project to enable the early detection of leakage and migration of geothermal fluids.

Sorey, M.L.; Colvard, E.M.

1994-07-01T23:59:59.000Z

125

Analysis of potential geothermal resources and their use: Lebanon Springs area, New York  

DOE Green Energy (OSTI)

The feasibility of using thermal waters at Lebanon Springs or elsewhere in the Capital District of New York as an energy source was studied. To evaluate the area, geologic mapping of the Lebanon Springs, New York, to Williamstown, Massachusetts, area was conducted, and efforts made to locate additional thermal waters besides those already known. In addition to mapping, thermal gradients where measured in twenty-five abandoned water wells, and the silica contents and water temperatures of seventy-eight active domestic water wells were determined. Based on the results of that work, Lebanon Springs appears to be the first choice for a demonstration project, but further exploration may confirm that other areas with good potential exist. A preliminary economic analysis of possible uses in the Town of Lebanon Springs was made, and it was determined that a system combining groundwater heat pumps and a microhydroelectric plant could be applied to heating the town hall, town garage, and high school with significant savings.

Not Available

1981-04-01T23:59:59.000Z

126

TABLE OF CONTENTS  

National Nuclear Security Administration (NNSA)

of America and The Department of Natural Resources Canada for Cooperation in the Area of Fossil Fuels Fossil Energy Department of Natural Resources Canada 656 6172003 6172008...

127

ARM - Instrument Location Table  

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

govInstrumentsLocation Table govInstrumentsLocation Table Instruments Location Table Contacts Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument Locations Site abbreviations explained in the key. Instrument Name Abbreviation NSA SGP TWP AMF C1 C2 EF BF CF EF IF C1 C2 C3 EF IF Aerosol Chemical Speciation Monitor ACSM Atmospheric Emitted Radiance Interferometer AERI Aethalometer AETH Ameriflux Measurement Component AMC Aerosol Observing System AOS Meteorological Measurements associated with the Aerosol Observing System AOSMET Broadband Radiometer Station BRS

128

Renewable Resource Integration Project - Scoping Study of Strategic Transmission, Operations, and Reliability Issues  

E-Print Network (OSTI)

13 Table 5. 2006 Renewable Capacity and EstimatedMW)13 Table 6. 2006 Renewable Energy & Estimatedcapacity of renewable resources. ..16

Budhraja, Vikram

2008-01-01T23:59:59.000Z

129

FY 2010 Laboratory Table  

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

Laboratory Tables Laboratory Tables Preliminary May 2009 Office of Chief Financial Officer FY 2010 Congressional Budget Request Laboratory Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper Laboratory / Facility Index FY 2010 Congressional Budget Page 1 of 3 (Dollars In Thousands) 2:08:56PM Department Of Energy 5/4/2009 Page Number FY 2008 Appropriation FY 2009 Appropriation FY 2010 Request Laboratory Table 1 1 $1,200

130

FY 2009 State Table  

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

State Tables State Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request State Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper State Index Page Number FY 2009 Congressional Budget 1/30/2008 Department Of Energy (Dollars In Thousands) 9:01:45AM Page 1 of 2 FY 2007 Appropriation FY 2008 Appropriation FY 2009 Request State Table 1 1 $27,588

131

FY 2005 State Table  

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

Office of Management, Budget Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Preliminary Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number

132

FY 2010 State Table  

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

State Tables State Tables Preliminary May 2009 Office of Chief Financial Officer FY 2010 Congressional Budget Request State Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper State Index Page Number FY 2010 Congressional Budget 5/4/2009 Department Of Energy (Dollars In Thousands) 2:13:22PM Page 1 of 2 FY 2008 Appropriation FY 2009 Appropriation FY 2010 Request State Table 1 1 $46,946 $48,781 $38,844 Alabama 2 $6,569

133

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 1999 Annual Energy Outlook 1999 bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Contacts bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage supplemental.gif (7420 bytes) (Errata as of 9/13/99) The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 1999 (AEO99) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1997 to 2020. Most of the tables were not published in the AEO99, but contain regional and other more detailed projections underlying the AEO99 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables are presented.

134

FY 2006 State Table  

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

State Tables State Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 State Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2006 Congressional Budget 1/27/2005 Department Of Energy (Dollars In Thousands) 3:32:58PM Page 1 of 2 FY 2004 Comp/Approp FY 2005 Comp/Approp FY 2006 Request State Table

135

table E1  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... Table E.1 World Primary Energy Consumption (Btu), 1980-2006 (Quadrillion (10 15 ) Btu) Page

136

Table - Energy Information Administration  

U.S. Energy Information Administration (EIA)

September 2013 U.S. Energy Information 9/27/2013 9:52:45 AM Administration | Natural Gas Monthly 9 Created on: Table 4. U.S. natural gas imports ...

137

FY 2008 State Table  

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

State Table State Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer State Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2008 Congressional Budget 2/1/2007 Department Of Energy (Dollars In Thousands) 6:53:08AM Page 1 of 2 FY 2006 Appropriation FY 2007 Request FY 2008 Request State Table 1 1 $28,332 $30,341

138

CBECS Buildings Characteristics --Revised Tables  

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

Buildings Use Tables Buildings Use Tables (24 pages, 129 kb) CONTENTS PAGES Table 12. Employment Size Category, Number of Buildings, 1995 Table 13. Employment Size Category, Floorspace, 1995 Table 14. Weekly Operating Hours, Number of Buildings, 1995 Table 15. Weekly Operating Hours, Floorspace, 1995 Table 16. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Number of Buildings, 1995 Table 17. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the

139

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

5HVLGHQWLDO (QHUJ\\ &RQVXPSWLRQ 6XUYH\\V 1997 Consumption and Expenditures Tables Appliances Consumption Tables (17 pages, 60 kb) Contents Pages CE5-1c.

140

Human Resources & EEO/Diversity Symposium  

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

Human Resources & EEODiversity Symposium Table of Contents Disclaimer Presentations Track I - The HR Environment Track II - The HR Response Track III - Training & Career Track IV...

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


141

2001 Housing Characteristics Detailed Tables  

U.S. Energy Information Administration (EIA)

2001 Residential Energy Consumption Survey-Housing Characteristics, 2001 Detailed Tables, Energy Information Administration

142

FY 2006 Laboratory Table  

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

Laboratory Tables Laboratory Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 Laboratory Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2006 Congressional Budget Page 1 of 3 (Dollars In Thousands) 3:43:16PM Department Of Energy 1/27/2005 Page Number FY 2004 Comp/Approp FY 2005 Comp/Approp

143

Fy 2009 Laboratory Table  

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

Laboratory Tables Laboratory Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request Laboratory Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper Laboratory / Facility Index FY 2009 Congressional Budget Page 1 of 3 (Dollars In Thousands) 8:59:25AM Department Of Energy 1/30/2008 Page Number FY 2007 Appropriation FY 2008 Appropriation FY 2009

144

FY 2011 State Table  

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

State Tables State Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 March 2010 Office of Chief Financial Officer State Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 State Index Page Number FY 2011 Congressional Budget 1/29/2010 Department Of Energy (Dollars In Thousands) 6:34:40AM Page 1 of 2 FY 2009 Appropriation

145

FY 2007 Laboratory Table  

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

Laboratory tables Laboratory tables preliminary Department of Energy FY 2007 Congressional Budget Request February 2006 Printed with soy ink on recycled paper Office of Chief Financial Officer Laboratory tables preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2007 Congressional Budget Page 1 of 3 (Dollars In Thousands) 12:10:40PM Department Of Energy 1/31/2006 Page Number FY 2005 Appropriation FY 2006 Appropriation FY 2007

146

FY 2011 Laboratory Table  

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

Laboratory Tables Laboratory Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0055 March 2010 Office of Chief Financial Officer Laboratory Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Department of Energy FY 2011 Congressional Budget Request DOE/CF-0055 Laboratory / Facility Index FY 2011 Congressional Budget Page 1 of 3 (Dollars In Thousands) 6:24:57AM Department Of Energy 1/29/2010 Page

147

FY 2008 Laboratory Table  

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

Laboratory Table Laboratory Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer Laboratory Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2008 Congressional Budget Page 1 of 3 (Dollars In Thousands) 6:51:02AM Department Of Energy 2/1/2007 Page Number FY 2006 Appropriation FY 2007 Request FY 2008 Request

148

Energy Basics: Ocean Resources  

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

Resources Although the potential for ocean energy technologies is believed to be very large, no comprehensive studies have been conducted to date to determine an accurate resource...

149

FY 2013 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2011 FY 2012 FY 2013 Current Enacted Congressional Approp. Approp. * Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy........................................ 1,771,721 1,809,638 2,337,000 +527,362 +29.1% Electricity delivery and energy reliability......................................... 138,170 139,103 143,015 +3,912 +2.8% Nuclear energy................................................................................ 717,817 765,391 770,445 +5,054 +0.7% Fossil energy programs Clean coal technology.................................................................. -16,500 -- --

150

FY 2009 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2007 FY 2008 FY 2009 Current Current Congressional Op. Plan Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy.......................... -- 1,722,407 1,255,393 -467,014 -27.1% Electricity delivery and energy reliability........................... -- 138,556 134,000 -4,556 -3.3% Nuclear energy................................................................. -- 961,665 853,644 -108,021 -11.2% Legacy management........................................................ -- 33,872 -- -33,872 -100.0% Energy supply and conservation Operation and maintenance..........................................

151

TABLE OF CONTENTS  

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

/2011 /2011 Decades of Discovery Decades of Discovery Page 2 6/1/2011 TABLE OF CONTENTS 1 INTRODUCTION ...................................................................................................................... 6 2 BASIC ENERGY SCIENCES .................................................................................................. 7 2.1 Adenosine Triphosphate: The Energy Currency of Life .............................................. 7 2.2 Making Better Catalysts .............................................................................................. 8 2.3 Understanding Chemical Reactions............................................................................ 9 2.4 New Types of Superconductors ................................................................................ 10

152

Geology and potential uses of the geopressure resources of the Gulf Coast. [6,000 MW-centuries of recoverable electric energy, 200 Tcf of methane  

DOE Green Energy (OSTI)

The US ERDA has supported efforts to evaluate the potential contribution to the national energy supply of geopressured geothermal resources in the Gulf Coast. Efforts include a program of resource assessment and programs to examine utilization of the resource for the production of electricity and as a source of industrial-process heat. Work on resource assessment has suggested the presence of perhaps as much as 6,000 MW-centuries of recoverable electric energy and of 200 Tcf of methane. This program has emphasized finding significantly large sand bodies within the geopressured stratigraphic section in addition to defining the distribution of abnormal fluid pressures and formation temperatures. Regional sand facies analyses conducted thus far indicate five locations in the Frio formation of Central and South Texas where adequately large geopressured geothermal resources may be present. Engineering studies of energy-conversion systems based on total-flow, flashed-steam, and binary-cycle concepts show that development of electric power from the Gulf Coast geopressure resource is technically feasible. Study of use of the resource as process heat in pulp and paper mills and new sugar refineries has shown that these uses also are technically sound. The thermal content of a barrel of geothermal brine can cost as little as 9 mills when credited for recoverable hydraulic energy and methane. The value of heat approaches 50 mills per bbl for certain applications. All programs have pointed out clearly the need for better specific understanding of the resource, especially its dissolved methane content and its ability to produce for tens of years.

Howard, J.H.; House, P.A.; Johnson, P.M.; Towse, D.F.; Bebout, D.G.; Dorfman, M.H.; Agagu, O.K.; Hornburg, C.D.; Morin, O.J.

1976-06-01T23:59:59.000Z

153

table of contents  

Science Conference Proceedings (OSTI)

Kenneth E. Smith. Cyanide Solution Detoxification Jar Tests [pp. 191-204] Charles H. Bucknam. Greenstone Resources Ltd., Santa Rosa Heap Leaching Project...

154

Toward Production From Gas Hydrates: Current Status, Assessment of Resources, and Simulation-Based Evaluation of Technology and Potential  

E-Print Network (OSTI)

Assessment of U.S. Oil and Gas Resources (on CD-ROM) (Petroleum Geology, Atlas of Oil and Gas Fields, Structuraland logging conventional oil and gas wells. The ability to

Moridis, George J.

2008-01-01T23:59:59.000Z

155

EJ and EK Pay Table  

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

The EJ and EK pay table excludes locality pay. Refer to the General Schedule Complete Set of Locality Pay Tables to determine the locality pay for your applicable geographic area.

156

February 2013 Table of Contents  

Science Conference Proceedings (OSTI)

Inform February 2013 table of contents. February 2013 Table of Contents inform Magazine algae algal AOCS biomass business chemistry cottonseed date detergents fats filing first history inform inform Magazine international inventor law magazine me

157

Visualization of truth tables - CECM  

E-Print Network (OSTI)

Nov 19, 1997 ... Visualization of truth tables. The Figures are computer-generated tables that show the value 1 as being represented by a black pixel and 0 by a...

158

January 2013 Table of Contents  

Science Conference Proceedings (OSTI)

inform January 2013 table of contents. January 2013 Table of Contents inform Magazine algae algal AOCS biomass business chemistry cottonseed date detergents fats filing first history inform inform Magazine international inventor law magazine membe

159

FY 2012 Laboratory Table  

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

5 5 Department of Energy FY 2012 Congressional Budget Request Laboratory Tables y Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0065 Department of Energy FY 2012 Congressional Budget Request Laboratory Tables P li i Preliminary h b d i d i hi d h l l f b d h i f h The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled paper Laboratory / Facility Index FY 2012 Congressional Budget

160

FY 2008 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2006 FY 2007 FY 2008 Current Congressional Congressional Approp. Request Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance........................................... 1,781,242 1,917,331 2,187,943 +270,612 +14.1% Construction.................................................................... 31,155 6,030 -- -6,030 -100.0% Total, Energy supply and conservation............................. 1,812,397 1,923,361 2,187,943 +264,582 +13.8% Fossil energy programs Clean coal technology.................................................... -20,000 -- -58,000 -58,000 N/A Fossil energy research and development......................

Note: This page contains sample records for the topic "resource potential tables" 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

FY 2006 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2004 FY 2005 FY 2006 Comparable Comparable Request to FY 2006 vs. FY 2005 Approp Approp Congress Discretionary Summary By Appropriation Energy And Water Development Appropriation Summary: Energy Programs Energy supply Operation and maintenance................................................. 787,941 909,903 862,499 -47,404 -5.2% Construction......................................................................... 6,956 22,416 40,175 17,759 +79.2% Total, Energy supply................................................................ 794,897 932,319 902,674 -29,645 -3.2% Non-Defense site acceleration completion............................. 167,272 157,316 172,400 15,084 +9.6%

162

FY 2013 Laboratory Table  

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

8 8 Department of Energy FY 2013 Congressional Budget Request Laboratory Tables y Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0078 Department of Energy FY 2013 Congressional Budget Request Laboratory Tables P li i Preliminary h b d i d i hi d h l l f b d h i f h The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled paper Laboratory / Facility Index FY 2013 Congressional Budget

163

FY 2010 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2008 FY 2009 FY 2009 FY 2010 Current Current Current Congressional Approp. Approp. Recovery Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 1,704,112 2,178,540 16,800,000 2,318,602 +140,062 +6.4% Electricity delivery and energy reliability........................................ 136,170 137,000 4,500,000 208,008 +71,008 +51.8% Nuclear energy.............................................................................. 960,903 792,000 -- 761,274 -30,726 -3.9% Legacy management..................................................................... 33,872 -- -- --

164

FY 2012 State Table  

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

6 6 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0066 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled

165

FY 2012 Statistical Table  

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

2Statistical Table by Appropriation 2Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2010 FY 2011 FY 2011 FY 2012 Current Congressional Annualized Congressional Approp. Request CR Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 2,216,392 2,355,473 2,242,500 3,200,053 +983,661 +44.4% Electricity delivery and energy reliability........................................ 168,484 185,930 171,982 237,717 +69,233 +41.1% Nuclear energy............................................................................. 774,578 824,052 786,637 754,028 -20,550 -2.7% Fossil energy programs Fossil energy research and development................................... 659,770 586,583 672,383 452,975

166

FY 2007 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2005 FY 2006 FY 2007 Current Current Congressional Approp. Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance............................................ 1,779,399 1,791,372 1,917,331 +125,959 +7.0% Construction................................................................... 22,416 21,255 6,030 -15,225 -71.6% Total, Energy supply and conservation.............................. 1,801,815 1,812,627 1,923,361 +110,734 +6.1% Fossil energy programs Clean coal technology..................................................... -160,000 -20,000 -- +20,000 +100.0% Fossil energy research and development.......................

167

Table of Contents  

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

COMMUNICATIONS REQUIREMENTS COMMUNICATIONS REQUIREMENTS OF SMART GRID TECHNOLOGIES October 5, 2010 i Table of Contents I. Introduction and Executive Summary.......................................................... 1 a. Overview of Smart Grid Benefits and Communications Needs................. 2 b. Summary of Recommendations .................................................................... 5 II. Federal Government Smart Grid Initiatives ................................................ 7 a. DOE Request for Information ....................................................................... 7 b. Other Federal Government Smart Grid Initiatives .................................... 9 III. Communications Requirements of Smart Grid Applications .................. 11 a. Advanced Metering Infrastructure ............................................................12

168

Table of Contents of the In Search of Truth Project Environmental...  

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

...3.10-1 Table 3.10-2: Modoc County Non-Agricultural Wage And Salary Employment In 2000...3.10-2 Table 3.11-1: Potentially...

169

May 2011 Table of Contents  

Science Conference Proceedings (OSTI)

May 2011 Table of Contents Inform Magazine Inform Archives News 266 Insect oils: nutritional and industrial applications Many

170

October 2010 Table of Contents  

Science Conference Proceedings (OSTI)

October 2010 Table of Contents Inform Magazine Inform Archives News 598 Universal detectors for determination of lipids in biodiesel producti

171

2003 CBECS Detailed Tables: Summary  

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

the Tables | Estimation of Energy End-Use Consumption | CBECS Glossary | FAQs | Other Years: 1999 1995 1992 Complete Set of All Tables (Tables A1-A8, B1-B46, C1-C38, C1A-C38A,...

172

Potential  

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

and and Frictional Drag on a Floating Sphere in a Flowing Plasma I. H. Hutchinson Plasma Science and Fusion Center Massachusetts Institute of Technology, Cambridge, MA, USA The interaction of an ion-collecting sphere at floating potential with a flowing colli- sionless plasma is investigated using the "Specialized Coordinate Electrostatic Particle and Thermals In Cell" particle-in-cell code SCEPTIC[1, 2]. Code calculations are given of potential and the total force exerted on the sphere by the flowing plasma. This force is of crucial importance to the problem of dusty plasmas, and the present results are the first for a collisionless plasma to take account of the full self-consistent potential. They reveal discrepancies amounting to as large as 20% with the standard analytic expressions, in parameter regimes where the analytic approximations might have been expected

173

A distributed Hash table  

E-Print Network (OSTI)

DHash is a new system that harnesses the storage and network resources of computers distributed across the Internet by providing a wide-area storage service, DHash. DHash frees applications from re-implementing mechanisms ...

Dabek, Frank (Frank Edward), 1977-

2006-01-01T23:59:59.000Z

174

Resource Assessment of the In-Place and Potentially Recoverable Deep Natural Gas Resource of the Onshore Interior Salt Basins, North Central and Northeastern Gulf of Mexico  

SciTech Connect

The principal research effort for Year 2 of the project has been petroleum system characterization and modeling. Understanding the burial, thermal maturation, and hydrocarbon expulsion histories of the strata in the onshore interior salt basins of the North Central and Northeastern Gulf of Mexico areas is important in hydrocarbon resource assessment. The underburden and overburden rocks in these basins and subbasins are a product of their rift-related geohistory. Petroleum source rock analysis and initial thermal maturation and hydrocarbon expulsion modeling indicated that an effective regional petroleum source rock in the onshore interior salt basins and subbasins, the North Louisiana Salt Basin, Mississippi Interior Salt Basin, Manila Subbasin and Conecuh Subbasin, was Upper Jurassic Smackover lime mudstone. The initial modeling also indicated that hydrocarbon generation and expulsion were initiated in the Early Cretaceous and continued into the Tertiary in the North Louisiana Salt Basin and the Mississippi Interior Salt Basin and that hydrocarbon generation and expulsion were initiated in the Late Cretaceous and continued into the Tertiary in the Manila Subbasin and Conecuh Subbasin. Refined thermal maturation and hydrocarbon expulsion modeling and additional petroleum source rock analysis have confirmed that the major source rock in the onshore interior salt basins and subbasins is Upper Jurassic Smackover lime mudstone. Hydrocarbon generation and expulsion were initiated in the Early to Late Cretaceous and continued into the Tertiary.

Ernest A. Mancini; Paul Aharon; Donald A. Goddard; Roger Barnaby

2005-10-28T23:59:59.000Z

175

CBECS Buildings Characteristics --Revised Tables  

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

Geographic Location Tables Geographic Location Tables (24 pages, 136kb) CONTENTS PAGES Table 3. Census Region, Number of Buildings and Floorspace, 1995 Table 4. Census Region and Division, Number of Buildings, 1995 Table 5. Census Region and Division, Floorspace, 1995 Table 6. Climate Zone, Number of Buildings and Floorspace, 1995 Table 7. Metropolitan Status, Number of Buildings and Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings

176

2003 CBECS Detailed Tables: Summary  

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

2003 Detailed Tables 2003 Detailed Tables 2003 CBECS Detailed Tables most recent available Released: September 2008 Building Characteristics | Consumption & Expenditures | End-Use Consumption In the 2003 CBECS, the survey procedures for strip shopping centers and enclosed malls ("mall buildings") were changed from those used in previous surveys, and, as a result, mall buildings are now excluded from most of the 2003 CBECS tables. Therefore, some data in the majority of the tables are not directly comparable with previous CBECS tables, all of which included mall buildings. Some numbers in the 2003 tables will be slightly lower than earlier surveys since the 2003 figures do not include mall buildings. See "Change in Data Collection Procedures for Malls" for a more detailed explanation.

177

Summary of Natural Resources that Potentially Influence Human Intrusion at the Area 5 Radioactive Waste Management Site, Nevada Test Site, Nye County, Nevada  

DOE Green Energy (OSTI)

In 1993, Raytheon Services Nevada completed a review of natural resource literature and other sources to identify potentially exploitable resources and potential future land uses near the Area 5 Radioactive Waste Management Site (RWMS) of the Nevada Test Site (NTS), Nye County, Nevada, that could lead to future inadvertent human intrusion and subsequent release of radionuclides to the accessible environment. National Security Technologies, LLC, revised the original limited-distribution document to conform to current editorial standards and U.S. Department of Energy requirements for public release. The researchers examined the potential for future development of sand, gravel, mineral, petroleum, water resources, and rural land uses, such as agriculture, grazing, and hunting. The study was part of the performance assessment for Greater Confinement Disposal boreholes. Sand and gravel are not considered exploitable site resources because the materials are common throughout the area and the quality at the Area 5 RWMS is not ideal for typical commercial uses. Site information also indicates a very low mineral potential for the area. None of the 23 mining districts in southern Nye County report occurrences of economic mineral deposits in unconsolidated alluvium. The potential for oil and natural gas is low for southern Nye County. No occurrences of coal, tar sand, or oil shale on the NTS are reported in available literature. Several potential future uses of water were considered. Agricultural irrigation is impractical due to poor soils and existing water supply regulations. Use of water for geothermal energy development is unlikely because temperatures are too low for typical commercial applications using current technology. Human consumption of water has the most potential for cause of intrusion. The economics of future water needs may create a demand for the development of deep carbonate aquifers in the region. However, the Area 5 RWMS is not an optimal location for extraction of groundwater from the deep carbonate aquifer. Grazing and hunting are unlikely to be potential causes for inadvertent human intrusion into waste areas because of vegetation characteristics and lack of significant game animal populations.

NSTec Environmental Management

2007-06-01T23:59:59.000Z

178

EIA - Greenhouse Gas Emissions - Table-Figure Notes and Sources  

Gasoline and Diesel Fuel Update (EIA)

A1. Notes and Sources A1. Notes and Sources Tables Chapter 1: Greenhouse gas emissions overview Table 1. U.S. emissions of greenhouse gases, based on global warming potential, 1990-2009: Sources: Emissions: EIA estimates. Data in this table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008, DOE/EIA-0573(2008) (Washington, DC, December 2009). Global warming potentials: Intergovernmental Panel on Climate Change, Climate Change 2007: The Physical Science Basis: Errata (Cambridge, UK: Cambridge University Press, 2008), website http://ipcc-wg1.ucar.edu/wg1/Report/AR4WG1_Errata_2008-12-01.pdf. Table 2. U.S. greenhouse gas intensity and related factors, 1990-2009: Sources: Emissions: EIA estimates. Data in this table are revised from the

179

Table of Contents  

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

NT0005638 NT0005638 Cruise Report 1-19 July 2009 HYFLUX Sea Truth Cruise Northern Gulf of Mexico Submitted by: Texas A&M University - Corpus Christi 6300 Ocean Dr. Corpus Christi, TX 78412 Principal Authors: Ian R. MacDonald and Thomas Naehr Prepared for: United States Department of Energy National Energy Technology Laboratory October 30, 2009 Office of Fossil Energy HYFLUX Seatruth Cruise Report -1- Texas A&M University - Corpus Christi Table of Contents Summary ............................................................................................................................. 2 Participating Organizations ................................................................................................. 3 Major Equipment ................................................................................................................ 4

180

Engineering Tables: Polymeric Materials  

Science Conference Proceedings (OSTI)

Table 6   Chemical resistance ratings for selected plastics and metals...B A A C C C ? B C A A A Miscellaneous Detergents Laundry and dishwashing detergents, soaps A ? A ? B ? ? A A A ? B A ? A A B Inorganic salts Zinc chloride, cupric sulfate B B B ? A ? ? A ? A ? ? A A B B B Oxidizing agents, strong 30% hydrogen peroxide, bromine (wet) C C C ? C ? B B ? C ? ? A ? C C C...

Note: This page contains sample records for the topic "resource potential tables" 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

table of contents  

Science Conference Proceedings (OSTI)

Management of Potentially Acid Forming Overburden at Kaltim Prima Coal, Indonesia [pp. 237-251] Warwick Stewart and Dan Michaelsen. Identifying Potentially...

182

Potential use of geothermal resources in the Snake River Basin: an environmental overview. Volume II. Annotated bibliography  

DOE Green Energy (OSTI)

This volume is a partially annotated bibliography of reference materials pertaining to the seven KGRA's. The bibliography is divided into sections by program element as follows: terrestrial ecology, aquatic ecology, heritage resources, socioeconomics and demography, geology, geothermal, soils, hydrology and water quality, seismicity, and subsidence. Cross-referencing is available for those references which are applicable to specific KGRA's. (MHR)

Spencer, S.G.; Russell, B.F.; Sullivan, J.F. (eds.)

1979-09-01T23:59:59.000Z

183

Residential Energy Consumption Survey Data Tables  

U.S. Energy Information Administration (EIA)

Below are historical data tables from the Residential Energy Consumption Survey (RECS). These tables cover the total number of households ...

184

CARINA Data Table  

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

Cruise Summary Table and Data Cruise Summary Table and Data Users are requested to report any data or metadata errors in the CARINA cruise files to CDIAC. Parameter units in all CARINA data files are in CCHDO exchange format. No Cruise Namea (Alias) Areab Number of Stations Datec Ship Chief Scientist Carbon PI Oxygen Nutrients TCO2d TALK pCO2e pHf CFC Other Measurements Data Files 1 06AQ19920929g (06ANTX_6) (See map) 2 118 9/29-11/30/1992 Polarstern V. Smetacek M. Stoll, J. Rommets, H. De Baar, D. Bakker 62 114h 53 54i U C 0 Choloroa,b Fluorescence, NH4 Data Files (Metadata) 2 06AQ19930806 (06ARKIX_4) (See map) 4 64 8/6-10/5/1993 Polarstern D.K. Fütterer L. Anderson 64 63 63j, bb 0 0 0 59he 3H, 3He, 18O, 14C, 85Kr, Bak Data Files

185

Supplement Tables - Contact  

Gasoline and Diesel Fuel Update (EIA)

Supplement Tables to the AEO99 Supplement Tables to the AEO99 bullet1.gif (843 bytes) Annual Energy Outlook 1999 bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage furtherinfo.gif (5474 bytes) The Annual Energy Outlook 1999 (AEO99) was prepared by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting, under the direction of Mary J. Hutzler (mhutzler@eia.doe.gov, 202/586-2222). General questions may be addressed to Arthur T. Andersen (aanderse@eia.doe.gov, 202/586-1441), Director of the International, Economic, and Greenhouse Gas Division; Susan H. Holte (sholte@eia.doe.gov, 202/586-4838), Director of the Demand and Integration Division; James M. Kendell (jkendell@eia.doe.gov, 202/586-9646), Director of the Oil and Gas Division; Scott Sitzer (ssitzer@eia.doe.gov, 202/586-2308), Director of the Coal and Electric Power Division; or Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Senior Modeling Analyst. Detailed questions about the forecasts and related model components may be addressed to the following analysts:

186

Appendix B: Summary Tables  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman Appendix B: Summary Tables Table B1. The BCES and alternative cases compared to the Reference case, 2025 2009 2025 Ref Ref BCES All Clean Partial Credit Revised Baseline Small Utilities Credit Cap 2.1 Credit Cap 3.0 Stnds + Cds Generation (billion kilowatthours) Coal 1,772 2,049 1,431 1,305 1,387 1,180 1,767 1,714 1,571 1,358 Petroleum 41 45 43 44 44 44 45 45 45 43 Natural Gas 931 1,002 1,341 1,342 1,269 1,486 1,164 1,193 1,243 1,314 Nuclear 799 871 859 906 942 889 878 857 843 826 Conventional Hydropower 274 306 322 319 300 321 316 298 312 322 Geothermal 15 25 28 25 31 24 27 22 23 24 Municipal Waste 18 17 17 17 17 17 17 17 17 17 Wood and Other Biomass 38 162 303 289 295 301 241 266

187

Potential Efficiency Gains, and Energy and Carbon Emission Savings ...  

U.S. Energy Information Administration (EIA)

Table 3. Potential Efficiency Gains, and Energy and Carbon Emission Savings, of Replacing Existing 1997 Appliances

188

Potential use of geothermal resources in the Snake River Basin: an environmental overview. Volume II. Annotated bibliography  

SciTech Connect

This volume is a partially annotated bibliography of reference materials pertaining to the seven KGRA's. The bibliography is divided into sections by program element as follows: terrestrial ecology, aquatic ecology, heritage resources, socioeconomics and demography, geology, geothermal, soils, hydrology and water quality, seismicity, and subsidence. Cross-referencing is available for those references which are applicable to specific KGRA's. (MHR)

Spencer, S.G.; Russell, B.F.; Sullivan, J.F. (eds.)

1979-09-01T23:59:59.000Z

189

CBECS Buildings Characteristics --Revised Tables  

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

Conservation Tables Conservation Tables (16 pages, 86 kb) CONTENTS PAGES Table 41. Energy Conservation Features, Number of Buildings and Floorspace, 1995 Table 42. Building Shell Conservation Features, Number of Buildings, 1995 Table 43. Building Shell Conservation Features, Floorspace, 1995 Table 44. Reduction in Equipment Use During Off Hours, Number of Buildings and Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings

190

CBECS Buildings Characteristics --Revised Tables  

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

Structure Tables Structure Tables (16 pages, 93 kb) CONTENTS PAGES Table 8. Building Size, Number of Buildings, 1995 Table 9. Building Size, Floorspace, 1995 Table 10. Year Constructed, Number of Buildings, 1995 Table 11. Year Constructed, Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings and 58.8 billion square feet of commercial floorspace in the U.S. The 1995 data are available for the four Census

191

Conservation Conservation ResourcesConservation Resources  

E-Print Network (OSTI)

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Table 5.4 Dishwasher

192

Table G3  

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

1905-0194 1905-0194 Expiration Date: 07/31/2013 May 28, 2010 Voluntary Reporting of Greenhouse Gases 14 Table G3. Decision Chart for a Start Year Report for a Large Emitter Intending To Register Reductions Report Characteristics Reporting Requirements Schedule I Schedule II (For Each Subentity) Schedule III Schedule IV Sec. 1 Sec. 2 Sec. 3 Sec. 4 Sec. 1 Sec. 2 & Add. A Sec. 3 Sec. 1 Sec. 2 Sec. 1 Sec. 2 Part A Part B Part C Part D Part E Part A Part B Part C Independent Verification? All A- or B-Rated Methods? Foreign Emissions? Entity-Wide Reductions Only? Entity Statement Aggregated Emissions by Gas (Domestic and Foreign) † Emissions Inventory by Source

193

TABLE OF CONTENTS  

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

through June 2001 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 4 B. Detailed Reports 1.1 Magnets & Supports 9 1.2 Vacuum System 16 1.3 Power Supplies 21 1.4 RF System 25 1.5 Instrumentation & Controls 26 1.6 Cable Plant 28 1.8 Facilities 28 2.0 Accelerator Physics 29 2.1 ES&H 31 3 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress Magnet System - The project has received three shipments of magnets from IHEP. A total of 55 dipole, quadrupole and sextupole magnets out of 218 have arrived. All main magnets will arrive by December. The additional mechanical and electrical checks of the magnets at SSRL have been successful. Only minor mechanical problems were found and corrected. The prototype

194

TABLE OF CONTENTS  

National Nuclear Security Administration (NNSA)

AC05-00OR22800 AC05-00OR22800 TABLE OF CONTENTS Contents Page # TOC - i SECTION A - SOLICITATION/OFFER AND AWARD ......................................................................... A-i SECTION B - SUPPLIES OR SERVICES AND PRICES/COSTS ........................................................ B-i B.1 SERVICES BEING ACQUIRED ....................................................................................B-2 B.2 TRANSITION COST, ESTIMATED COST, MAXIMUM AVAILABLE FEE, AND AVAILABLE FEE (Modification 295, 290, 284, 280, 270, 257, 239, 238, 219, M201, M180, M162, M153, M150, M141, M132, M103, M092, M080, M055, M051, M049, M034, M022, M003, A002) ..........................................................B-2 SECTION C - DESCRIPTION/SPECIFICATION/WORK STATEMENT DESCRIPTION OF

195

Table of Contents  

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

U U U . . S S . . D D E E P P A A R R T T M M E E N N T T O O F F E E N N E E R R G G Y Y O O F F F F I I C C E E O O F F I I N N S S P P E E C C T T O O R R G G E E N N E E R R A A L L Semiannual Report toCongress DOE/IG-0065 April 1 - September 30, 2013 TABLE OF CONTENTS From the Desk of the Inspector General ..................................................... 2 Impacts Key Accomplishments ............................................................................................... 3 Positive Outcomes ...................................................................................................... 3 Reports Investigative Outcomes .............................................................................................. 6 Audits ......................................................................................................................... 8

196

Microsoft Word - table_87  

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

5 5 Table 6. Natural gas processed, liquids extracted, and natural gas plant liquids production, by state, 2012 Alabama 87,269 5,309 7,110 Alabama Onshore Alabama 33,921 2,614 3,132 Alabama Offshore Alabama 53,348 2,695 3,978 Alaska 2,788,997 18,339 21,470 Alaska 2,788,997 18,339 21,470 Arkansas 6,872 336 424 Arkansas 6,872 336 424 California 169,203 9,923 12,755 California Onshore California 169,203 9,923 12,755 California Offshore California NA NA NA Federal Offshore California NA NA NA

197

TABLE OF CONTENTS  

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

2 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 5 B. Detailed Reports 1.1 Magnets & Supports 8 1.2 Vacuum System 12 1.3 Power Supplies 14 1.4 RF System 16 1.5 Instrumentation & Controls 17 1.6 Cable Plant 18 1.7 Beam Line Front Ends 19 1.8 Facilities 19 1.9 Installation 20 2.1 Accelerator Physics 21 2 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress The progress and highlights of each major technical system are summarized below. Additional details are provided in Section B. Magnets - As of the end of this quarter (March 31, 2002), the status of magnet fabrication is as follows: Magnet Type Number Received % of Total Received Dipoles 40 100% Quadrupoles 102 100% Sextupoles 76 100%

198

Reviews, Tables, and Plots  

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

4 Review of Particle Physics 4 Review of Particle Physics Please use this CITATION: S. Eidelman et al. (Particle Data Group), Phys. Lett. B 592, 1 (2004) (bibtex) Standalone figures are now available for these reviews. Categories: * Constants, Units, Atomic and Nuclear Properties * Standard Model and Related Topics * Particle Properties * Hypothetical Particles * Astrophysics and Cosmology * Experimental Methods and Colliders * Mathematical Tools * Kinematics, Cross-Section Formulae, and Plots * Authors, Introductory Text, History plots PostScript help file PDF help file Constants, Units, Atomic and Nuclear Properties Physical constants (Rev.) PS PDF (1 page) Astrophysical constants (Rev.) PS PDF (2 pages) International System of units (SI) PS PDF (2 pages) Periodic table of the elements (Rev.) errata PS PDF (1 page)

199

Engineering Tables: Reinforcement Materials  

Science Conference Proceedings (OSTI)

Table 1   Properties of key reinforcement materials...3 GPa 10 6 psi GPa 10 6 psi GPa 10 6 psi Carbon fiber (pitch) E = 55 ? 10 6 psi 2.0 0.072 380 55 ? ? 190 28 E = 75 ? 10 6 psi 2.0 0.072 520 75 ? ? 260 38 E = 100 ? 10 6 psi 2.2 0.078 690 100 5 0.7 314 46 E = 120 ? 10 6 psi 2.2 0.078 830 120 5 0.7 377 55 E = 130 ? 10 6 psi 2.2 0.078 895 130 5 0.7 407...

200

TABLE OF CONTENTS  

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

October October through December 2001 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 4 B. Detailed Reports 1.1 Magnets & Supports 7 1.2 Vacuum System 9 1.3 Power Supplies 13 1.4 RF System 16 1.5 Instrumentation & Controls 17 1.6 Cable Plant 18 1.9 Installation 19 2.0 Accelerator Physics 20 3 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress In the magnet area, the production of all major components (dipoles, quadrupoles, and sextupoles) has been completed on schedule. This results from a highly successful collaboration with our colleagues at the Institute of High Energy Physics (IHEP) in Beijing. The production of corrector magnets is still in progress with completion scheduled for May 2002.

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


201

EIA Table E.1C  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL Brazil BR Cayman Islands CJ ... World Total ww NA - - Table Posted: December 19, 2008

202

Characteristics of truth tables - CECM  

E-Print Network (OSTI)

Nov 19, 1997... fairly straightforward because each row represents an assignment of truth values ... A truth table is a standard binary ordering of 2-partitions.

203

1993 Housing Characteristics -Detailed Tables  

U.S. Energy Information Administration (EIA)

Within each section, except for Air-conditioning and Light Usage, ... the Light Usage section includes a table that describes indoor light usage by ...

204

2011 22 Table of for  

U.S. Energy Information Administration (EIA)

2011 60 U.S. Energy Information Administration | Natural Gas Annual Table 22. Number of natural gas industrial consumers by type of ...

205

Microsoft Word - table_23.doc  

Gasoline and Diesel Fuel Update (EIA)

4 Table 23. Average Price of Natural Gas Delivered to Consumers by State and Sector, 2006 (Dollars per Thousand Cubic Feet) Alabama ... 18.80 100.00...

206

Faculty Search Table of Contents  

E-Print Network (OSTI)

October 28 2009 Faculty Search Committee Procedures Handbook #12;#12;#12;Table of Contents........................................................................................................................7 Charge to Search Committee................................................................................................................................8 Role of the Search Committee Chair

New Mexico, University of

207

March 2012 Table of Contents  

Science Conference Proceedings (OSTI)

March 2012 Table of Contents Inform Magazine Inform Archives News March 2012 World supplies of rapeseed and canola likely to remain tight in the 201

208

Microsoft Word - table_24.doc  

Annual Energy Outlook 2012 (EIA)

0 Table 24. Percent Distribution of Natural Gas Supply and Disposition by State, 2006 Alabama ... 1.44 1.81...

209

Microsoft Word - table_25.doc  

Gasoline and Diesel Fuel Update (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2008 Alabama ... 1.19 1.74...

210

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2007 Alabama ... 1.31 1.83...

211

Microsoft Word - table_24.doc  

Annual Energy Outlook 2012 (EIA)

0 Table 24. Percent Distribution of Natural Gas Supply and Disposition by State, 2005 Alabama ... 1.56 1.59...

212

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2009 Alabama ... 1.1 2.0...

213

Fast Mix Table Construction for Material Discretization  

Science Conference Proceedings (OSTI)

An effective hybrid Monte Carlo--deterministic implementation typically requires the approximation of a continuous geometry description with a discretized piecewise-constant material field. The inherent geometry discretization error can be reduced somewhat by using material mixing, where multiple materials inside a discrete mesh voxel are homogenized. Material mixing requires the construction of a ``mix table,'' which stores the volume fractions in every mixture so that multiple voxels with similar compositions can reference the same mixture. Mix table construction is a potentially expensive serial operation for large problems with many materials and voxels. We formulate an efficient algorithm to construct a sparse mix table in $O(\\text{number of voxels}\\times \\log \\text{number of mixtures})$ time. The new algorithm is implemented in ADVANTG and used to discretize continuous geometries onto a structured Cartesian grid. When applied to an end-of-life MCNP model of the High Flux Isotope Reactor with 270 distinct materials, the new method improves the material mixing time by a factor of 100 compared to a naive mix table implementation.

Johnson, Seth R [ORNL

2013-01-01T23:59:59.000Z

214

Help:Tables | Open Energy Information  

Open Energy Info (EERE)

Tables Tables Jump to: navigation, search Tables may be authored in wiki pages using either XHTML table elements directly, or using wikicode formatting to define the table. XHTML table elements and their use are well described on various web pages and will not be discussed here. The benefit of wikicode is that the table is constructed of character symbols which tend to make it easier to perceive the table structure in the article editing view compared to XHTML table elements. As a general rule, it is best to avoid using a table unless you need one. Table markup often complicates page editing. Contents 1 Wiki table markup summary 2 Basics 2.1 Table headers 2.2 Caption 3 XHTML attributes 3.1 Attributes on tables 3.2 Attributes on cells 3.3 Attributes on rows 3.4 HTML colspan and rowspan

215

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption, Actual vs. Forecasts Table 5. Total Coal Consumption, Actual vs. Forecasts Table 6. Total Electricity Sales, Actual vs. Forecasts Table 7. Crude Oil Production, Actual vs. Forecasts Table 8. Natural Gas Production, Actual vs. Forecasts Table 9. Coal Production, Actual vs. Forecasts Table 10. Net Petroleum Imports, Actual vs. Forecasts Table 11. Net Natural Gas Imports, Actual vs. Forecasts Table 12. Net Coal Exports, Actual vs. Forecasts Table 13. World Oil Prices, Actual vs. Forecasts Table 14. Natural Gas Wellhead Prices, Actual vs. Forecasts Table 15. Coal Prices to Electric Utilities, Actual vs. Forecasts

216

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Download Adobe Acrobat Reader Printer friendly version on our site are provided in Adobe Acrobat Spreadsheets are provided in Excel Actual vs. Forecasts Formats Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF Table 12. World Oil Prices Excel, PDF Table 13. Natural Gas Wellhead Prices

217

table14.xls  

Gasoline and Diesel Fuel Update (EIA)

Table 14. Natural Gas Wellhead Prices, Actual vs. Reference Case Projections Table 14. Natural Gas Wellhead Prices, Actual vs. Reference Case Projections (current dollars per thousand cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 AEO 1982 4.32 5.47 6.67 7.51 8.04 8.57 AEO 1983 2.93 3.11 3.46 3.93 4.56 5.26 12.74 AEO 1984 2.77 2.90 3.21 3.63 4.13 4.79 9.33 AEO 1985 2.60 2.61 2.66 2.71 2.94 3.35 3.85 4.46 5.10 5.83 6.67 AEO 1986 1.73 1.96 2.29 2.54 2.81 3.15 3.73 4.34 5.06 5.90 6.79 7.70 8.62 9.68 10.80 AEO 1987 1.83 1.95 2.11 2.28 2.49 2.72 3.08 3.51 4.07 7.54 AEO 1989* 1.62 1.70 1.91 2.13 2.58 3.04 3.48 3.93 4.76 5.23 5.80 6.43 6.98 AEO 1990 1.78 1.88 2.93 5.36 AEO 1991 1.77 1.90 2.11 2.30 2.42 2.51 2.60 2.74 2.91 3.29 3.75 4.31 5.07 5.77 6.45 AEO 1992 1.69 1.85 2.03 2.15 2.35 2.51 2.74 3.01 3.40 3.81 4.24 4.74 5.25 5.78 AEO 1993 1.85 1.94 2.09 2.30 2.44 2.60 2.85 3.12 3.47 3.84 4.31 4.81 5.28

218

ARM - Instrument - s-table  

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

govInstrumentss-table govInstrumentss-table Documentation S-TABLE : Instrument Mentor Monthly Summary (IMMS) reports S-TABLE : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Stabilized Platform (S-TABLE) Instrument Categories Ocean Observations For ship-based deployments, some instruments require actively stabilized platforms to compensate for the ship's motion, especially rotations around the long axis of the ship (roll), short axis (pitch), and, for some instruments, vertical axis (yaw). ARM currently employs two types of stabilized platforms: one electrically controlled for lighter instruments that includes yaw control (dubbed RPY for Roll, Pitch, Yaw) and one

219

TABLE OF CONTENTS  

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

Turbines The Gas Turbine Handbook The Gas Turbine Handbook TABLE OF CONTENTS Acknowledgements Updated Author Contact Information Introduction - Rich Dennis, Turbines Technology Manager 1.1 Simple and Combined Cycles - Claire Soares 1.1-1 Introduction 1.1-2 Applications 1.1-3 Applications versatility 1.1-4 The History of the Gas Turbine 1.1-5 Gas Turbine, Major Components, Modules, and systems 1.1-6 Design development with Gas Turbines 1.1-7 Gas Turbine Performance 1.1-8 Combined Cycles 1.1-9 Notes 1.2 Integrated Coal Gasification Combined Cycle (IGCC) - Massod Ramezan and Gary Stiegel 1.2-1 Introduction 1.2-2 The Gasification Process 1.2-3 IGCC Systems 1.2-4 Gasifier Improvements 1.2-5 Gas Separation Improvements 1.2-6 Conclusions 1.2-7 Notes 1.2.1 Different Types of Gasifiers and Their Integration with Gas Turbines - Jeffrey Phillips

220

MECS Fuel Oil Tables  

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

: Actual, Minimum and Maximum Use Values for Fuel Oils and Natural Gas : Actual, Minimum and Maximum Use Values for Fuel Oils and Natural Gas Year Distillate Fuel Oil (TBtu) Actual Minimum Maximum Discretionary Rate 1985 185 148 1224 3.4% 1994 152 125 1020 3.1% Residual Fuel Oil (TBtu) Actual Minimum Maximum Discretionary Rate 1985 505 290 1577 16.7% 1994 441 241 1249 19.8% Natural Gas (TBtu) Actual Minimum Maximum Discretionary Rate 1985 4656 2702 5233 77.2% 1994 6141 4435 6758 73.4% Source: Energy Information Administration, Office of Energy Markets and End Use, 1985 and 1994 Manufacturing Energy Consumption Surveys. Table 2: Establishments That Actually Switched Between Natural Gas and Residual Fuel Oil Type of Switch Number of Establishments in Population Number That Use Original Fuel Percentage That Use Original Fuel Number That Can Switch to Another Fuel Percentage That Can Switch to Another Fuel Number That Actually Made a Switch Percentage That Actually Made a Switch

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221

CBECS 1992 - Consumption & Expenditures, Detailed Tables  

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

Detailed Tables Detailed Tables Detailed Tables Figure on Energy Consumption in Commercial Buildings by Energy Source, 1992 Divider Line The 49 tables present detailed energy consumption and expenditure data for buildings in the commercial sector. This section provides assistance in reading the tables by explaining some of the headings for the data categories. It will also explain the use of row and column factors to compute both the confidence levels of the estimates given in the tables and the statistical significance of differences between the data in two or more categories. The section concludes with a "Quick-Reference Guide" to the statistics in the different tables. Categories of Data in the Tables After Table 3.1, which is a summary table, the tables are grouped into the major fuel tables (Tables 3.2 through 3.13) and the specific fuel tables (Tables 3.14 through 3.29 for electricity, Tables 3.30 through 3.40 for natural gas, Tables 3.41 through 3.45 for fuel oil, and Tables 3.46 through 3.47 for district heat). Table 3.48 presents energy management and DSM data as reported by the building respondent. Table 3.49 presents data on participation in electric utility-sponsored DSM programs as reported by both the building respondent and the electricity supplier.

222

Computer resources Computer resources  

E-Print Network (OSTI)

Computer resources 1 Computer resources available to the LEAD group Cédric David 30 September 2009 #12;Ouline · UT computer resources and services · JSG computer resources and services · LEAD computers· LEAD computers 2 #12;UT Austin services UT EID and Password 3 https://utdirect.utexas.edu #12;UT Austin

Yang, Zong-Liang

223

Enhancement Strategies for Mitigating Potential Operational Impacts of Cooling Water Intake Structures: Approaches for Enhancing Env ironmental Resources  

Science Conference Proceedings (OSTI)

This interim report describes environmental enhancement or restoration approaches that may be applicable for mitigating impingement and entrainment impacts associated with cooling water intake structures (CWISs). These approaches are described with respect to their underlying objectives, implementation and operational requirements, costs, current use by government and the private sector, and advantages and limitations for potentially mitigating CWIS operational impacts.

2002-07-30T23:59:59.000Z

224

S. C. Pryor R. J. Barthelmie E. Kjellstro m Potential climate change impact on wind energy resources in northern  

E-Print Network (OSTI)

S. C. Pryor ? R. J. Barthelmie ? E. Kjellstro¨ m Potential climate change impact on wind energy of climate change on the feasibility and pre- dictability of renewable energy sources including wind energy on near-surface flow and hence wind energy density across northern Europe. It is shown that: Simulated

Pryor, Sara C.

225

Investigation of geothermal potential in the Waianae Caldera Area, Western Oahu, Hawaii. Assessment of Geothermal Resources in Hawaii: Number 2  

DOE Green Energy (OSTI)

Studies of Lualualei Valley, Oahu have been conducted to determine whether a thermal anomaly exists in the area and, if so, to identify sites at which subsurface techniques should be utilized to characterize the resource. Geologic mapping identifies several caldera and rift zone structures in the Valley and provides a tentative outline of their boundaries. Clay mineralogy studies indicate that minor geothermal alteration of near-surface rocks has occurred at some period in the history of the area. Schlumberger resistivity soundings indicate the presence of a low resistivity layer beneath the valley floor, which has been tentatively attributed to warm water-saturated basalt. Soil and groundwater chemistry studies outline several geochemical anomalies around the perimeter and within the inferred caldera boundaries. The observed anomalies strongly suggest a subsurface heat source. Recommendations for further exploratory work to confirm the presence of a geothermal reservoir include more intensive surveys in a few selected areas of the valley as well as the drilling of at least three shallow (1000-m) holes for subsurface geochemical, geological and geophysical studies.

Cox, M.E.; Sinton, J.M.; Thomas, D.M.; Mattice, M.D.; Kauahikaua, J.P.; Helstern, D.M.; Fan, P.

1979-09-01T23:59:59.000Z

226

Renewable Diesel from Algal Lipids: An Integrated Baseline for Cost, Emissions, and Resource Potential from a Harmonized Model  

DOE Green Energy (OSTI)

The U.S. Department of Energy's Biomass Program has begun an initiative to obtain consistent quantitative metrics for algal biofuel production to establish an 'integrated baseline' by harmonizing and combining the Program's national resource assessment (RA), techno-economic analysis (TEA), and life-cycle analysis (LCA) models. The baseline attempts to represent a plausible near-term production scenario with freshwater microalgae growth, extraction of lipids, and conversion via hydroprocessing to produce a renewable diesel (RD) blendstock. Differences in the prior TEA and LCA models were reconciled (harmonized) and the RA model was used to prioritize and select the most favorable consortium of sites that supports production of 5 billion gallons per year of RD. Aligning the TEA and LCA models produced slightly higher costs and emissions compared to the pre-harmonized results. However, after then applying the productivities predicted by the RA model (13 g/m2/d on annual average vs. 25 g/m2/d in the original models), the integrated baseline resulted in markedly higher costs and emissions. The relationship between performance (cost and emissions) and either productivity or lipid fraction was found to be non-linear, and important implications on the TEA and LCA results were observed after introducing seasonal variability from the RA model. Increasing productivity and lipid fraction alone was insufficient to achieve cost and emission targets; however, combined with lower energy, less expensive alternative technology scenarios, emissions and costs were substantially reduced.

Davis, R.; Fishman, D.; Frank, E. D.; Wigmosta, M. S.; Aden, A.; Coleman, A. M.; Pienkos, P. T.; Skaggs, R. J.; Venteris, E. R.; Wang, M. Q.

2012-06-01T23:59:59.000Z

227

Oregon Trust Agreement Planning Project : Potential Mitigations to the Impacts on Oregon Wildlife Resources Associated with Relevant Mainstem Columbia River and Willamette River Hydroelectric Projects.  

DOE Green Energy (OSTI)

A coalition of the Oregon wildlife agencies and tribes (the Oregon Wildlife Mitigation Coalition) have forged a cooperative effort to promote wildlife mitigation from losses to Oregon wildlife resources associated with the four mainstream Columbia River and the eight Willamette River Basin hydroelectric projects. This coalition formed a Joint Advisory Committee, made up of technical representatives from all of the tribes and agencies, to develop this report. The goal was to create a list of potential mitigation opportunities by priority, and to attempt to determine the costs of mitigating the wildlife losses. The information and analysis was completed for all projects in Oregon, but was gathered separately for the Lower Columbia and Willamette Basin projects. The coalition developed a procedure to gather information on potential mitigation projects and opportunities. All tribes, agencies and interested parties were contacted in an attempt to evaluate all proposed or potential mitigation. A database was developed and minimum criteria were established for opportunities to be considered. These criteria included the location of the mitigation site within a defined area, as well as other criteria established by the Northwest Power Planning Council. Costs were established for general habitats within the mitigation area, based on estimates from certified appraisers. An analysis of the cost effectiveness of various types of mitigation projects was completed. Estimates of operation and maintenance costs were also developed. The report outlines strategies for gathering mitigation potentials, evaluating them, determining their costs, and attempting to move towards their implementation.

United States. Bonneville Power Administration.

1993-10-01T23:59:59.000Z

228

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) MS Excel Viewer PDF (Acrobat Reader required Download Acrobat Reader ) Adobe Acrobat Reader Logo Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF

229

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) PDF (Acrobat Reader required) Table 2. Total Energy Consumption HTML, Excel, PDF Table 3. Total Petroleum Consumption HTML, Excel, PDF Table 4. Total Natural Gas Consumption HTML, Excel, PDF Table 5. Total Coal Consumption HTML, Excel, PDF Table 6. Total Electricity Sales HTML, Excel, PDF Table 7. Crude Oil Production HTML, Excel, PDF Table 8. Natural Gas Production HTML, Excel, PDF Table 9. Coal Production HTML, Excel, PDF Table 10. Net Petroleum Imports HTML, Excel, PDF Table 11. Net Natural Gas Imports HTML, Excel, PDF Table 12. Net Coal Exports HTML, Excel, PDF Table 13. World Oil Prices HTML, Excel, PDF

230

United States areal wind resource assessment  

SciTech Connect

Estimates of the electricity that could potentially be generated by wind power and of the land area available for wind energy development have been calculated for the contiguous United States, in support of the US Department of Energy`s National Energy Strategy. These estimates were based on the wind resource data published in a national resource atlas. Estimates of the wind resource in this atlas are expressed in wind power classes ranging from class 1 to class 7, with each class representing a range of mean wind power density or equivalent mean speed at specified heights above the ground (Table 1) . Areas designatedclass 4 or greater are suitable for most wind turbine applications. Power class 3 areas are suitable for wind energy development using tall (50-m hub height) turbines. Class 2 areas are marginal and class 1 areas unsuitable for wind energy development. A map of the areal (percentage of land area) distribution of the wind resource digitized in grid cells (1/4{degrees} latitude by 1/3{degrees} longitude) shows that exposed areas with moderate to high wind resource (class 3 and greater) are dispersed throughout much of the contiguous United States.

Schwartz, M.N.; Elliott, D.L.

1993-03-01T23:59:59.000Z

231

United States areal wind resource assessment  

SciTech Connect

Estimates of the electricity that could potentially be generated by wind power and of the land area available for wind energy development have been calculated for the contiguous United States, in support of the US Department of Energy's National Energy Strategy. These estimates were based on the wind resource data published in a national resource atlas. Estimates of the wind resource in this atlas are expressed in wind power classes ranging from class 1 to class 7, with each class representing a range of mean wind power density or equivalent mean speed at specified heights above the ground (Table 1) . Areas designatedclass 4 or greater are suitable for most wind turbine applications. Power class 3 areas are suitable for wind energy development using tall (50-m hub height) turbines. Class 2 areas are marginal and class 1 areas unsuitable for wind energy development. A map of the areal (percentage of land area) distribution of the wind resource digitized in grid cells (1/4[degrees] latitude by 1/3[degrees] longitude) shows that exposed areas with moderate to high wind resource (class 3 and greater) are dispersed throughout much of the contiguous United States.

Schwartz, M.N.; Elliott, D.L.

1993-03-01T23:59:59.000Z

232

MECS 1991 Publications and Tables  

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

Publication and Tables Publication and Tables Publication and Tables Figure showing the Largest Energy Consumers in the Manufacturing Sector You have the option of downloading the entire report or selected sections of the report. Full Report - Manufacturing Consumption of Energy 1991 (file size 17.2 MB) pages:566 Selected Sections Main Text (file size 380,153 bytes) pages: 33, includes the following: Contacts Contents Executive Summary Introduction Energy Consumption in the Manufacturing Sector: An Overview Energy Consumption in the Manufacturing Sector, 1991 Manufacturing Capability To Switch Fuels Appendices Appendix A. Detailed Tables Appendix B. Survey Design, Implementation, and Estimates (file size 141,211 bytes) pages: 22. Appendix C. Quality of the Data (file size 135,511 bytes) pages: 8.

233

June 2012 Table of Contents  

Science Conference Proceedings (OSTI)

June 2012 Table of Contents Inform Magazine Inform Archives News June 2012 Science and modern art Oil paintings produced after the industrialization of paint manufacture often are more vulnerable to degradation than

234

Table H.1co2  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... Table H.1co2 World Carbon Dioxide Emissions from the Consumption and Flaring of Fossil ...

235

April 2011 Table of Contents  

Science Conference Proceedings (OSTI)

April 2011 Table of Contents Inform Magazine Inform Archives News 186 Letter from the president Outgoing AOCS President J. Keith Grime reviews progress made in 2010 and looks forward to the organization's incre

236

September 2012 Table of Contents  

Science Conference Proceedings (OSTI)

September 2012 Table of Contents Inform Magazine Inform Archives News September 2012 Nanoscale oil confinement in fat crystal networks: Why puff pastries are a new frontier for theoretical physicists A theoretical p

237

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

Table CE5-1e. Appliances1 Energy Expenditures in U.S. Households by Climate Zone, 1997 RSE Column Factor: Total Climate Zone2 RSE Row Factors Fewer than 2,000 CDD and --

238

March 2011 Table of Contents  

Science Conference Proceedings (OSTI)

March 2011 Table of Contents Inform Magazine Inform Archives News 126 Innovative, sustainable consumption: A challenge for the entire value chain In our continuing coverage of the 7th World Conference on Detergents,

239

April 2012 Table of Contents  

Science Conference Proceedings (OSTI)

April 2012 Table of Contents Inform Magazine Inform Archives News April 2012 Letter from the president Outgoing AOCS President Erich Dumelin reviews progress in 2011 and looks forward to the organizations inc

240

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2007 (Million Cubic Feet) Alabama ... 270,407 19,831 77,311 90,589 0 -69 0 418,545...

Note: This page contains sample records for the topic "resource potential tables" 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

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2009 (Million Cubic Feet) Alabama ... 236,029 17,232 -25,416 258,787 0 -2,099 0 454,268...

242

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2006 (Million Cubic Feet) Alabama ... 286,220 21,065 37,079 97,347 0 8,484 0 391,098...

243

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

3 Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2005 (Million Cubic Feet) Alabama ... 296,528 13,759 131,734 -60,062 0 103 0 354,339...

244

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2008 (Million Cubic Feet) Alabama ... 257,884 17,222 1,335 166,539 0 4,379 0 404,157...

245

All Price Tables.vp  

Annual Energy Outlook 2012 (EIA)

Administration State Energy Data 2010: Prices and Expenditures 3 2 0 1 0 S U M M A R I E S Table E2. Total End-Use Energy Price Estimates, 2010 (Dollars per Million Btu)...

246

January 2012 Table of Contents  

Science Conference Proceedings (OSTI)

inform magazine January 2012 Table of Contents Inform Magazine Inform Archives News January 2012 Oilseeds in Australia Australia is now one of the worlds top three exporters of canola oil. inform take

247

Microsoft Word - table_22.doc  

Gasoline and Diesel Fuel Update (EIA)

3 Table 22. Average City Gate Price of Natural Gas in the United States, 2001-2005 (Dollars per Thousand Cubic Feet) Alabama ... 6.63 4.74 6.06 6.65...

248

Microsoft Word - table_22.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 22. Average Citygate Price of Natural Gas in the United States, 2005-2009 (Dollars per Thousand Cubic Feet) Alabama ... 8.47 10.26 8.78 9.84...

249

June 2010 Table of Contents  

Science Conference Proceedings (OSTI)

June 2010 Table of Contents 330 AOCS 2.0 debuts A drum roll, please: The new AOCS web experience, otherwise known as AOCS 2.0, debuted in early May. Ca

250

August 2010 Table of Contents  

Science Conference Proceedings (OSTI)

August 2010 Table of Contents Inform Magazine Inform Archives News 471 Letter from the President AOCS President J. Keith Grime discusses the areas that AOCS will focus on in t

251

May 2012 Table of Contents  

Science Conference Proceedings (OSTI)

May 2012 Table of Contents Inform Magazine Inform Archives News May 2012 Chocolate science Chocolate may be soft, but the science behind it is not. This issue features the latest research on this delectable topic....

252

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

Table CE4-1e. Water-Heating Energy Expenditures in U.S. Households by Climate Zone, 1997 RSE Column Factor: Total Climate Zone1 RSE Row Factors Fewer than 2,000 CDD ...

253

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2009 Alabama ... 0.8 0.8 2.1 0.3 3.3 Alaska... 0.4...

254

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

1 Table 25. Percent Distribution of Natural Gas Delivered to Consumers by State, 2005 Alabama ... 0.87 0.86 2.24 0.52 1.79 Alaska......

255

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

1 Table 25. Percent Distribution of Natural Gas Delivered to Consumers by State, 2006 Alabama ... 0.87 0.86 2.31 0.67 2.34 Alaska......

256

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2008 Alabama ... 0.78 0.80 2.14 0.36 2.46 Alaska......

257

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2007 Alabama ... 0.75 0.78 2.27 0.47 2.57 Alaska......

258

February 2012 Table of Contents  

Science Conference Proceedings (OSTI)

inform magazine February 2012 Table of Contents Inform Magazine Inform Archives News February 2012 66 Patrick Donnelly named CEO of AOCS Our new CEO, Patrick Donnelly, brings a passion for sci

259

October 2011 Table of Contents  

Science Conference Proceedings (OSTI)

October 2011 Table of Contents Inform Magazine Inform Archives News 542 Soy and breast cancer Are soy foods safe for postmenopausal women who have had breast cancer? Associate Editor Catherine Watk

260

October 2012 Table of Contents  

Science Conference Proceedings (OSTI)

October 2012 Table of Contents Inform Magazine Inform Archives News October 2012 The science behind optimal frying Understanding the frying process can lead to better food and fat quality, a higher degree of control

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


261

September 2011 Table of Contents  

Science Conference Proceedings (OSTI)

September 2011 Table of Contents Inform Magazine Inform Archives News 478 IOM panel recommends tripling vitamin D intake: Panels conservative approach receives criticism The 102nd AOCS Annua

262

Household Vehicles Energy Consumption 1994 - PDF Tables  

U.S. Energy Information Administration (EIA)

Table 1 U.S. Number of Vehicles, Vehicle Miles, Motor Fuel Consumption and Expenditures, 1994 Table 2 U.S. per Household Vehicle Miles Traveled, Vehicle Fuel ...

263

C:\\WEBSHARE\\WWWROOT\\forecastactuals\\tables2_18.wpd  

Annual Energy Outlook 2012 (EIA)

Tables 2 through 18 Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption,...

264

FY 2014 Budget Request Summary Table | Department of Energy  

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

Summary Table FY 2014 Budget Request Summary Table Summary Table by Appropriations Summary Table by Organization More Documents & Publications FY 2014 Budget Justification Details...

265

Potential for crop drying with geothermal hot water resources in the western United States: alfalfa, a case study. Report 305-100-02  

DOE Green Energy (OSTI)

Preliminary results of engineering, economic, and geographic analysis of the use of low-temperature geothermal heat for the commercial drying of grains, grasses, fruits, vegetables and livestock products in the United States are reported. Alfalfa (lucerne) dehydration was chosen for detailed process and cost study. Six different geothermal heat exchanger/dryer configurations were examined. A conveyor type that could utilize geothermal hot water for its entire heat requirement proved to be the most economical. A capital cost estimate for an all-geothermal alfalfa dehydration plant near the Heber Known Geothermal Resource Area in the Imperial Valley, California was prepared. The combined cost for heat exchangers and dryer is about $1.6 million. Output is about 11 metric tons per hour. Acreage, production and dollar value data for 22 dryable crops were compiled for the areas surrounding identified hydrothermal resources in 11 western states. The potential magnitude of fossil fuel use that could be replaced by geothermal heat for drying these crops will be estimated.

Wright, T.C.

1977-06-22T23:59:59.000Z

266

OECD Input-Output Tables | Open Energy Information  

Open Energy Info (EERE)

OECD Input-Output Tables OECD Input-Output Tables Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Input-Output Tables Agency/Company /Organization: Organisation for Economic Co-Operation and Development Topics: Co-benefits assessment, Market analysis, Co-benefits assessment, Pathways analysis Resource Type: Dataset Website: www.oecd.org/document/3/0,3343,en_2649_34445_38071427_1_1_1_1,00.html Country: Sweden, Finland, Japan, South Korea, Argentina, Australia, China, Israel, United Kingdom, Portugal, Romania, Greece, Poland, Slovakia, Chile, India, Canada, New Zealand, United States, Denmark, Norway, Spain, Austria, Italy, Netherlands, Ireland, France, Belgium, Brazil, Czech Republic, Estonia, Germany, Hungary, Luxembourg, Mexico, Slovenia, South Africa, Turkey, Indonesia, Switzerland, Taiwan, Russia

267

DOE NEPA Guidance and Requirements - Search Index - Table of Contents |  

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

DOE NEPA Guidance and Requirements - Search Index - Table of DOE NEPA Guidance and Requirements - Search Index - Table of Contents DOE NEPA Guidance and Requirements - Search Index - Table of Contents Return to Download Page The DOE NEPA Guidance and Requirements - Search Index includes: NEPA Guidance and Requirements Documents Issued by Published A Brief Guide - DOE-wide Contracts For NEPA Documentation DOE 2003 A Citizen's Guide to the NEPA - Having Your Voice Heard CEQ 2007 A Resource Handbook on DOE Transportation Risk Assessment DOE 2002 Actions During the NEPA Process - Interim Actions DOE 2003 Administrative Record Guidance DOJ 1991 Aligning the NEPA Process with EMS CEQ 2007 Alternative Actions For Analysis in Site-wide NEPA Reviews DOE 1992 Amended Environmental Impact Statement Filing System Guidance EPA 2012 Analysis of Impacts on Prime and Unique Agricultural Lands and NEPA

268

DOE NEPA Guidance and Requirements - Search Index - Table of Contents |  

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

Table of Table of Contents DOE NEPA Guidance and Requirements - Search Index - Table of Contents Return to Download Page The DOE NEPA Guidance and Requirements - Search Index includes: NEPA Guidance and Requirements Documents Issued by Published A Brief Guide - DOE-wide Contracts For NEPA Documentation DOE 2003 A Citizen's Guide to the NEPA - Having Your Voice Heard CEQ 2007 A Resource Handbook on DOE Transportation Risk Assessment DOE 2002 Actions During the NEPA Process - Interim Actions DOE 2003 Administrative Record Guidance DOJ 1991 Aligning the NEPA Process with EMS CEQ 2007 Alternative Actions For Analysis in Site-wide NEPA Reviews DOE 1992 Amended Environmental Impact Statement Filing System Guidance EPA 2012 Analysis of Impacts on Prime and Unique Agricultural Lands and NEPA

269

Hydrogeochemical evaluation of conventional and hot dry rock geothermal resource potential in the Clear Lake region, California  

DOE Green Energy (OSTI)

Chemistry, stable isotope, and tritium contents of thermal/mineral waters in the Clear Lake region were used to evaluate conventional and hot dry rock (HDR) geothermal potential for electrical generation. Thermal/mineral waters of the Clear Lake region are broadly classified as thermal meteoric and connate types based on chemical and isotopic criteria. Ratios of conservative components such as B/Cl are extremely different among all thermal/mineral waters of the Clear Lake region except for clusters of waters emerging from specific areas such as the Wilbur Springs district and the Agricultural Park area south of Mt. Konocti. In contrast ratios of conservative components in large, homogeneous geothermal reservoirs are constant. Stable isotope values of Clear Lake region waters show a mixing trend between thermal meteoric and connate (generic) end-members. The latter end-member has enriched {delta}D as well as enriched {delta}{sup 18}O, from typical high-temperature geothermal reservoir waters. Tritium data indicate most Clear Lake region waters are mixtures of old and young fluid components. Subsurface equilibration temperature of most thermal/mineral waters of the Clear Lake region is {le}150{degree}C based on chemical geothermometers but it is recognized that Clear Lake region waters are not typical geothermal fluids and that they violate rules of application of many geothermometers. The combined data indicate that no large geothermal reservoir underlies the Clear Lake region and that small localized reservoirs have equilibration temperatures {le}150{degree}C (except for Sulphur Bank mine). HDR technologies are probably the best way to commercially exploit the known high-temperatures existing beneath the Clear Lake region particularly within and near the main Clear Lake volcanic field.

Goff, F.; Adams, A.I.; Trujillo, P.E.; Counce, D.

1993-05-01T23:59:59.000Z

270

Wind Energy Resource Assessment of the Caribbean and Central America  

DOE Green Energy (OSTI)

A wind energy resource assessment of the Caribbean and Central America has identified many areas with good to outstanding wind resource potential for wind turbine applications. Annual average wind resource maps and summary tables have been developed for 35 island/country areas throughout the Caribbean and Central America region. The wind resource maps highlight the locations of major resource areas and provide estimates of the wind energy resource potential for typical well-exposed sites in these areas. The average energy in the wind flowing in the layer near the ground is expressed as a wind power class: the greater the average wind energy, the higher the wind power class. The summary tables that are included with each of the 35 island/country wind energy maps provide information on the frequency distribution of the wind speeds (expressed as estimates of the Weibull shape factor, k) and seasonal variations in the wind resource for the major wind resource areas identified on the maps. A new wind power class legend has been developed for relating the wind power classes to values of mean wind power density, mean wind speed, and Weibull k. Guidelines are presented on how to adjust these values to various heights above ground for different roughness and terrain characteristics. Information evaluated in preparing the assessment included existing meteorological data from airports and other weather stations, and from ships and buoys in offshore and coastal areas. In addition, new data from recent measurement sites established for wind energy siting studies were obtained for a few areas of the Caribbean. Other types of information evaluated in the assessment were climatological data and maps on winds aloft, surface pressure, air flow, and topography. The various data were screened and evaluated for their usefulness in preparing the wind resource assessment. Much of the surface data from airports and other land-based weather stations were determined to be from sheltered sites and were thus not very useful in assessing the wind resource at locations that are well exposed to the winds. Ship data were determined to be the most useful for estimating the large-scale wind flow and assessing the spatial distribution of the wind resource throughout the region. Techniques were developed for analyzing and correcting ship wind data and extrapolating these data to coastal and inland areas by considering terrain influences on the large-scale wind flow. In areas where extrapolation of ship wind data was not entirely feasible, such as interior areas of Central America, other techniques were developed for estimating the wind flow and distribution of the wind resource. Through the application of the various innovative techniques developed for assessing the wind resource throughout the Caribbean and Central America region, many areas with potentially good to outstanding wind resource were identified that had not been previously recognized. In areas where existing site data were available from exposed locations, the measured wind resource was compared with the estimated wind resource that was derived using the assessment techniques. In most cases, there was good agreement between the measured wind resource and the estimated wind resource. This assessment project supported activities being pursued by the U.S. Committee for Renewable Energy Commerce and Trade (CORECT), the U.S. government's interagency program to assist in overseas marketing and promote renewable energy exports. An overall goal of the program is to improve U.S. competitiveness in the world renewable energy market. The Caribbean and Central America assessment, which is the first of several possible follow-on international wind energy resource assessments, provides valuable information needed by the U.S. wind energy industry to identify suitable wind resource areas and concentrate their efforts on these areas.

DL Elliott; CI Aspliden; GL Gower; CG Holladay, MN Schwartz

1987-04-01T23:59:59.000Z

271

EIA - Appendix A - Reference Case Projection Tables  

Gasoline and Diesel Fuel Update (EIA)

Tables (2005-2035) Tables (2005-2035) International Energy Outlook 2010 Reference Case Projections Tables (2005-2035) Formats Data Table Titles (1 to 14 complete) Reference Case Projections Tables (1990-2030). Need help, contact the National Energy Information Center at 202-586-8800. Appendix A. Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table A1 World Total Primary Energy Consumption by Region Table A1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table A2 World Total Energy Consumption by Region and Fuel Table A2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

272

MTS Table Top Load frame  

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

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

273

Nature Bulletin Table of Contents  

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

Table of Contents: Table of Contents: Here is our table of contents for the Forset Preserve District of Cook Country Nature Bulletins. To search, go to the Natuere Bulletin's Search Engine and type in your topic. You can also use your browser's "FIND" command to search the 750+ article titles here for a specific subject! Fish Smother Under Ice Coyotes in Cook County Tough Times for the Muskrats Wild Geese and Ducks Fly North Squirrels Spring Frogs Snapping Turtles A Phenomenal Spring Good People Do Not Pick Wildflowers Fire is the Enemy of Field and Forest Crows Earthworms Bees Crayfish Floods Handaxes and Knives in the Forest Preserves Ant Sanctuary Conservation Mosquitoes More About Mosquitoes Fishing in the Forest Preserve Our River Grasshoppers Chiggers Ticks Poison Ivy Fireflies

274

COST AND QUALITY TABLES 95  

Gasoline and Diesel Fuel Update (EIA)

5 Tables 5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels U.S. Department of Energy Washington DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts The annual publication Cost and Quality of Fuels for Electric Utility Plants (C&Q) will no longer be pub- lished by the EIA. The tables presented in this docu- ment are intended to replace that annual publication. Questions regarding the availability of these data should be directed to: Coal and Electric Data and Renewables Division

275

KT Monograph Section B Table  

E-Print Network (OSTI)

traced#7;#7; Table B1:1 - Summary of a selection of previous surface surveys and collections in the Near East #12; Slopes of Tepe#7;Top of Tepe#7;Clustered#7;#7;Percentage Diagnostics#7;Small Stones - esp. NW & E#7;Late Roman/Byz. Sherds#7;#7;Trefoil Rims... #7;Terra Sigillata - esp. S & SW#7;Stone Artefacts#7;#7;Red Hittite Wares#7;Hellenistic Sherds#7;Architectural Fragments#7;#7;Total Sherds#7;#7;Large Stones#7;#7;Early Bronze Age#7;#7;#7;#7;Decorated Sherds#7;#7;#7;#7;Feature Sherds#7;#7;#7;#7; Table...

Thomas, D C

2004-12-09T23:59:59.000Z

276

Radioactive decay data tables  

SciTech Connect

The estimation of radiation dose to man from either external or internal exposure to radionuclides requires a knowledge of the energies and intensities of the atomic and nuclear radiations emitted during the radioactive decay process. The availability of evaluated decay data for the large number of radionuclides of interest is thus of fundamental importance for radiation dosimetry. This handbook contains a compilation of decay data for approximately 500 radionuclides. These data constitute an evaluated data file constructed for use in the radiological assessment activities of the Technology Assessments Section of the Health and Safety Research Division at Oak Ridge National Laboratory. The radionuclides selected for this handbook include those occurring naturally in the environment, those of potential importance in routine or accidental releases from the nuclear fuel cycle, those of current interest in nuclear medicine and fusion reactor technology, and some of those of interest to Committee 2 of the International Commission on Radiological Protection for the estimation of annual limits on intake via inhalation and ingestion for occupationally exposed individuals.

Kocher, D.C.

1981-01-01T23:59:59.000Z

277

Distributed energy resources customer adoption modeling with combined heat and power applications  

E-Print Network (OSTI)

of Microgrid Distributed Energy Resource Potential Usingon Integration of Distributed Energy Resources: The CERTSof Customer Adoption of Distributed Energy Resources.

Siddiqui, Afzal S.; Firestone, Ryan M.; Ghosh, Srijay; Stadler, Michael; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

278

Tools & Resources: Resource Directory  

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

that reduce air emissions. Emissions & Generation Resource Integrated Database (eGRID) A tool that provides data on the environmental characteristics of almost all electric...

279

Publications & Resources, Human Resources  

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

or approved by Brookhaven National Laboratory or the Human Resources Division. Manuals Scientific Staff Manual Supervisors Personnel Manual SBMS Subject Areas Compensation...

280

Tables of Chemicals and Etchants  

Science Conference Proceedings (OSTI)

Table 3   Designation of Etchants...p 255. (b) L.E. Samuels, J. Inst. Met., Vol 83, 1954??1955, p 359. (c) S.A. Manion and T.O. Mulhearn, Metallography, Vol 4, 1971, p 551...

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


281

Table Of Contents Section: Page  

E-Print Network (OSTI)

....................................................................15-6 15.E Rigging Hardware....................................................15-15 Tables: 15 the immediate work area and properly stored and maintained in a safe condition. 15.A.02 Hoist rope shall.04 When hoisting loads, a positive latching device shall be used to secure the load and rigging (e

US Army Corps of Engineers

282

Microsoft Word - table_23.doc  

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

6 Table 23. Average citygate price of natural gas in the United States, 2007- 2011 (dollars per thousand cubic feet) Alabama 8.78 9.84 7.61 6.46 5.80 Alaska 6.75 6.74 8.22 6.67...

283

Trip Table ?????? #ejdyrki-#ejebnjj  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /5e8f0a852f9c1d454b6df13f1365e4ef/e684451614f1683226855e2b90e1249c.html ... Top page #ejdyrki:?XNHx/Baass #ejdzgey:?maO8DRy4pM #ejdzuzo ...

284

Trip Table ?????? #UFOYMAA-#UFPBHZB  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /7faa9d44500591fbfecedcda9a9d9cf9/72b75372a04495579b32da4524a88ead.html ... Top page #UFOYMAA:?760XFpqqAg #UFOZAUQ:?GiyoPAoyp. #UFOZPPG ...

285

Trip Table ?????? #gopmusbo-#gopmxoap  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /de823d5fcb90885762f4a837a7fa1e4c/8ef5e7522a1014862421869a133710f6.html ... Top page #gopmusbo:?MyJIL5jza2 #gopmvgwe:?AGL/5xDjfA #gopmvvqu ...

286

Trip Table ?????? #PNQTORG-#PNQWKQH  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /57be3958616c440476cf50b429b2476e/a2758b2d3ccf7339fa919b48ba7c1570.html ... Top page #PNQTORG:?oGcbIPIQ/2 #PNQUDLW:?QPKgjR/j7k #PNQUSGM ...

287

CBECS 1992 - Building Characteristics, Detailed Tables  

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

Detailed Tables Detailed Tables Detailed Tables Percent of Buildings and Floorspace by Census Region, 1992 Percent of Buildings and Floorspace by Census Region, 1992 The following 70 tables present extensive cross-tabulations of commercial buildings characteristics. These data are from the Buildings Characteristics Survey portion of the 1992 CBECS. The "Quick-Reference Guide," indicates the major topics of each table. Directions for calculating an approximate relative standard error (RSE) for each estimate in the tables are presented in Figure A1, "Use of RSE Row and Column Factor." The Glossary contains the definitions of the terms used in the tables. See the preceding "At A Glance" section for highlights of the detailed tables. Table Organization

288

Energy Information Administration (EIA) - Supplement Tables  

Gasoline and Diesel Fuel Update (EIA)

6 6 1 to 116 Complete set of Supplemental Tables Complete set of Supplemental Tables. Need help, please contact the National Energy Information Center at 202-586-8800. Regional Energy Consumption and Prices by Sector Energy Consumption by Sector Table 1. New England Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 2. Middle Atlantic Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 3. East North Central Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 4. West North Central

289

EIA - Supplement Tables to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

10 10 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector and Source Table 1. New England Excel Gif Table 2. Middle Atlantic Excel Gif Table 3. East North Central Excel Gif Table 4. West North Central Excel Gif Table 5. South Atlantic Excel Gif Table 6. East South Central Excel Gif Table 7. West South Central Excel Gif Table 8. Mountain Excel Gif Table 9. Pacific Excel Gif Table 10. Total United States Excel Gif Energy Prices by Sector and Source Table 11. New England Excel Gif Table 12. Middle Atlantic Excel Gif Table 13. East North Central Excel Gif Table 14. West North Central Excel Gif Table 15. South Atlantic Excel Gif Table 16. East South Central Excel Gif Table 17. West South Central Excel Gif Table 18. Mountain Excel Gif Table 19. Pacific

290

EIA - Supplement Tables to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

09 09 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector and Source Table 1. New England Excel Gif Table 2. Middle Atlantic Excel Gif Table 3. East North Central Excel Gif Table 4. West North Central Excel Gif Table 5. South Atlantic Excel Gif Table 6. East South Central Excel Gif Table 7. West South Central Excel Gif Table 8. Mountain Excel Gif Table 9. Pacific Excel Gif Table 10. Total United States Excel Gif Energy Prices by Sector and Source Table 11. New England Excel Gif Table 12. Middle Atlantic Excel Gif Table 13. East North Central Excel Gif Table 14. West North Central Excel Gif Table 15. South Atlantic Excel Gif Table 16. East South Central Excel Gif Table 17. West South Central Excel Gif Table 18. Mountain Excel Gif Table 19. Pacific

291

Automatic Table Ground Truth Generation and a Background-Analysis-Based Table Structure Extraction  

E-Print Network (OSTI)

In this paper, we first describe an automatic table ground truth generation system which can efficiently generate a large amount of accurate table ground truth suitable for the development of table detection algorithms. Then a novel background-analysis-based, coarse-to-fine table identification algorithm and an X-Y cut table decomposition algorithm are described. We discuss an experimental protocol to evaluate the table detection algorithms. For a total of having vin table entities and a total cell entities, our table detection algorithm takes line, word segmentation results as input and obtains around cell correct detection rates.

Yalin Wang; Ihsin T. Phillips; Robert Haralick

2001-01-01T23:59:59.000Z

292

Random Table and Its Ground Truth Automatic Generation: A Tool for Table  

E-Print Network (OSTI)

We developed a software tool to assist table understanding research. It can analyze any given table ground truth and generate documents that include similar table elements while have more variety on both table and non-table parts. Based on our novel content matching ground truthing idea, the table ground truth data for the generated table elements become available with little manual work. The validity of the proposed strategy was confirmed by our table detection algorithm development. We made this software package publicly available.

Understanding Research Yalin; Yalin Wang

2001-01-01T23:59:59.000Z

293

Long Term World Oil Supply (A Resource Base/Production Path ...  

U.S. Energy Information Administration (EIA)

Table of Contents. Long Term World Oil Supply (A Resource Base/Production Path Analysis) Executive Summary. Executive Summary (Continued) Executive ...

294

Emerging energy security issues: Natural gas in the Gulf Nations, An overview of Middle East resources, export potentials, and markets. Report Series No. 4  

SciTech Connect

This paper proceeds with a presentation of the natural gas resource base of the Gulf nations of the Middle East. The resource base is put in the context of the world natural gas resource and trade flows. This is followed by a discussion of the existing and planned project to move Gulf natural gas to consuming regions. Then a discussion of the source of demand in the likely target markets for the Gulf resource follows. Next, the nature of LNG pricing is discussed. A brief summary concludes the paper.

Ripple, R.D.; Hagen, R.E.

1995-09-01T23:59:59.000Z

295

Assessment of Geothermal Resource Potential at a High-Priority Area on the Utah Testing and Training RangeSouth (UTTRS)  

DOE Green Energy (OSTI)

Field investigations conducted during 2011 support and expand the conclusion of the original Preliminary Report that discovery of a viable geothermal system is possible in the northwestern part of the Utah Testing and Training Range-South (UTTR-S), referred to henceforth as Focus Area 1. The investigations defined the southward extent of the Wendover graben into and near Focus Area 1, enhanced the understanding of subsurface conditions, and focused further geothermal exploration efforts towards the northwestern-most part of Focus Area 1. Specifically, the detailed gravity survey shows that the Wendover graben, first defined by Cook et al. (1964) for areas north of Interstate Highway 80, extends and deepens southwest-ward to the northwest corner of Focus Area 1. At its deepest point, the intersection with a northwest-trending graben there is favorable for enhanced permeability associated with intersecting faults. Processing and modeling of the gravity data collected during 2011 provide a good understanding of graben depth and distribution of faults bounding the graben and has focused the interest area of the study. Down-hole logging of temperatures in wells made available near the Intrepid, Inc., evaporation ponds, just north of Focus Area 1, provide a good understanding of the variability of thermal gradients in that area and corroborate the more extensive temperature data reported by Turk (1973) for the depth range of 300-500 m. Moderate temperature gradients in the northern part of the Intrepid area increase to much higher gradients and bottom-hole temperatures southeastward, towards graben-bounding faults, suggesting upwelling geothermal waters along those faults. Water sampling, analysis, and temperature measurements of Blue Lakes and Mosquito Willey's springs, on the western boundary of Focus Area 1, also show elevated temperatures along the graben-bounding fault system. In addition, water chemistry suggests origin of those waters in limestone rocks beneath the graben in areas with temperatures as high as 140 C (284 F). In conclusion, all of the field data collected during 2011 and documented in the Appendices of this report indicate that there is reasonable potential for a viable geothermal resource along faults that bound the Wendover graben. Prospects for a system capable of binary electrical generation are especially good, and the possibility of a flash steam system is also within reason. The next steps should focus on securing the necessary funding for detailed geophysical surveys and for drilling a set of temperature gradient wells to further evaluate the resource, and to focus deep exploration efforts in the most promising areas.

Richard P. Smith, PhD., PG; Robert P. Breckenridge, PhD.; Thomas R. Wood, PhD.

2012-04-01T23:59:59.000Z

296

U.S. Open Labs - Exploring Resources | Open Energy Information  

Open Energy Info (EERE)

U.S. Open Labs - Exploring Resources Jump to: navigation, search Where can I find information about the renewable energy resource potential in my country? Renewable energy resource...

297

Solar Cell Efficiency Tables (Version 39)  

Science Conference Proceedings (OSTI)

Consolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined, and new entries since July 2011 are reviewed.

Green, M. A.; Emery, K.; Hishikawa, Y.; Warta, W.; Dunlop, E. D.

2012-01-01T23:59:59.000Z

298

November/December 2012 Table of Contents  

Science Conference Proceedings (OSTI)

inform November/December table of contents. November/December 2012 Table of Contents inform Magazine algae algal AOCS biomass business chemistry cottonseed date detergents fats filing first history inform inform Magazine international inventor la

299

Table Name query? | OpenEI Community  

Open Energy Info (EERE)

Table Name query? Home > Groups > Databus Is there an API feature which returns the names of tables? Submitted by Hopcroft on 28 October, 2013 - 15:37 1 answer Points: 0 if you are...

300

A System for Tabled Constraint Logic Programming  

Science Conference Proceedings (OSTI)

As extensions to traditional logic programming, both tabling and Constraint Logic Programming (CLP) have proven powerful tools in many areas. They make logic programming more efficient and more declarative. However, combining the techniques of tabling ...

Baoqiu Cui; David Scott Warren

2000-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource potential tables" 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

Analytical Division Seed Oil Translation Table  

Science Conference Proceedings (OSTI)

seed oil translation table nomencalture Analytical Division Seed Oil Translation Table Analytical Chemistry Analytical Chemistry aocs articles atomic)FluorometryDifferential scanning calorimetry chemistry Chromatography (liquid detergents esters fats fo

302

Microsoft Word - table_11.doc  

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

25 25 Table 11 Created on: 12/12/2013 2:10:53 PM Table 11. Underground natural gas storage - storage fields other than salt caverns, 2008-2013 (volumes in billion cubic feet) Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Year and Month Base Gas Working Gas Total Volume Percent Injections Withdrawals Net Withdrawals a 2008 Total b -- -- -- -- -- 2,900 2,976 76 2009 Total b -- -- -- -- -- 2,856 2,563 -293 2010 Total b -- -- -- -- -- 2,781 2,822 41 2011 January 4,166 2,131 6,298 -63 -2.9 27 780 753 February 4,166 1,597 5,763 -10 -0.6 51 586 535 March 4,165 1,426 5,591 -114 -7.4 117 288 172

303

Microsoft Word - table_08.doc  

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

1 1 Table 8 Created on: 12/12/2013 2:07:39 PM Table 8. Underground natural gas storage - all operators, 2008-2013 (million cubic feet) Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Year and Month Base Gas Working Gas Total a Volume Percent Injections Withdrawals Net Withdrawals b 2008 Total c -- -- -- -- -- 3,340 3,374 34 2009 Total c -- -- -- -- -- 3,315 2,966 -349 2010 Total c -- -- -- -- -- 3,291 3,274 -17 2011 January 4,303 2,306 6,609 2 0.1 50 849 799 February 4,302 1,722 6,024 39 2.3 82 666 584 March 4,302 1,577 5,879 -75 -4.6 168 314 146 April 4,304 1,788 6,092 -223 -11.1 312 100

304

Table  

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

Muons Muons in Methanol (CH 3 OH) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.56176 0.791 67.6 0.08970 3.5477 0.2529 2.7639 3.5160 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 8.169 8.169 6.759 × 10 -1 14.0 MeV 5.616 × 10 1 6.369 6.369 1.236 × 10 0 20.0 MeV 6.802 × 10 1 4.972 4.972 2.315 × 10 0 30.0 MeV 8.509 × 10 1 3.855 3.855 4.631 × 10 0 40.0 MeV 1.003 × 10 2 3.291 3.291 7.457 × 10 0 80.0 MeV 1.527 × 10 2 2.469 2.469 2.194 × 10 1 100. MeV 1.764 × 10 2 2.321 2.322 3.032 × 10 1 140. MeV 2.218 × 10 2 2.166 2.166 4.823 × 10 1 200. MeV 2.868 × 10 2 2.074 2.074 7.664 × 10 1 300. MeV 3.917 × 10 2 2.039 0.000 2.039 1.254 × 10 2 318. MeV 4.105 × 10 2 2.038 0.000 2.039 Minimum ionization 400. MeV 4.945 × 10 2 2.045 0.000 2.045 1.744 × 10 2 800. MeV 8.995 × 10 2 2.121 0.000 0.000 2.122 3.665 × 10 2 1.00 GeV 1.101 × 10 3 2.156 0.000 0.000 2.157 4.600 × 10 2 1.40 GeV 1.502 ×

305

Table  

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

Muons Muons in Carbon (amorphous) Z A [g/mol] ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 6 (C) 12.0107 (8) 2.000 78.0 0.20240 3.0036 -0.0351 2.4860 2.9925 0.10 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.117 7.117 7.771 × 10 -1 14.0 MeV 5.616 × 10 1 5.550 5.551 1.420 × 10 0 20.0 MeV 6.802 × 10 1 4.332 4.332 2.658 × 10 0 30.0 MeV 8.509 × 10 1 3.357 3.357 5.317 × 10 0 40.0 MeV 1.003 × 10 2 2.862 2.862 8.564 × 10 0 80.0 MeV 1.527 × 10 2 2.129 2.129 2.529 × 10 1 100. MeV 1.764 × 10 2 1.994 1.994 3.502 × 10 1 140. MeV 2.218 × 10 2 1.857 1.857 5.591 × 10 1 200. MeV 2.868 × 10 2 1.778 1.779 8.905 × 10 1 300. MeV 3.917 × 10 2 1.749 0.000 1.749 1.459 × 10 2 313. MeV 4.055 × 10 2 1.749 0.000 1.749 Minimum ionization 400. MeV 4.945 × 10 2 1.755 0.000 1.756 2.030 × 10 2 800. MeV 8.995 × 10 2 1.824 0.000 0.000 1.825 4.266 × 10 2 1.00 GeV 1.101 × 10 3 1.855 0.000 0.000 1.856 5.353 × 10

306

Table  

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

Muons Muons in Mix D wax Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.56479 0.990 60.9 0.07490 3.6823 0.1371 2.7145 3.0780 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 8.322 8.322 6.628 × 10 -1 14.0 MeV 5.616 × 10 1 6.485 6.486 1.213 × 10 0 20.0 MeV 6.802 × 10 1 5.060 5.060 2.273 × 10 0 30.0 MeV 8.509 × 10 1 3.922 3.922 4.549 × 10 0 40.0 MeV 1.003 × 10 2 3.347 3.347 7.327 × 10 0 80.0 MeV 1.527 × 10 2 2.505 2.506 2.158 × 10 1 100. MeV 1.764 × 10 2 2.346 2.346 2.985 × 10 1 140. MeV 2.218 × 10 2 2.182 2.182 4.761 × 10 1 200. MeV 2.868 × 10 2 2.087 2.087 7.584 × 10 1 300. MeV 3.917 × 10 2 2.049 0.000 2.049 1.243 × 10 2 328. MeV 4.201 × 10 2 2.048 0.000 2.048 Minimum ionization 400. MeV 4.945 × 10 2 2.053 0.000 2.053 1.731 × 10 2 800. MeV 8.995 × 10 2 2.125 0.000 0.000 2.125 3.647 × 10 2 1.00 GeV 1.101 × 10 3 2.158 0.000 0.000 2.159 4.581 × 10 2 1.40 GeV 1.502 × 10 3 2.213

307

Table  

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

Muons Muons in Sodium nitrate NaNO 3 Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.49415 2.261 114.6 0.09391 3.5097 0.1534 2.8221 3.6502 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 6.702 6.702 8.281 × 10 -1 14.0 MeV 5.616 × 10 1 5.239 5.239 1.510 × 10 0 20.0 MeV 6.802 × 10 1 4.100 4.100 2.820 × 10 0 30.0 MeV 8.509 × 10 1 3.187 3.187 5.624 × 10 0 40.0 MeV 1.003 × 10 2 2.726 2.726 9.039 × 10 0 80.0 MeV 1.527 × 10 2 2.053 2.053 2.648 × 10 1 100. MeV 1.764 × 10 2 1.927 1.927 3.656 × 10 1 140. MeV 2.218 × 10 2 1.800 1.800 5.814 × 10 1 200. MeV 2.868 × 10 2 1.729 1.729 9.228 × 10 1 298. MeV 3.894 × 10 2 1.705 0.000 1.705 Minimum ionization 300. MeV 3.917 × 10 2 1.705 0.000 1.705 1.507 × 10 2 400. MeV 4.945 × 10 2 1.714 0.000 1.714 2.092 × 10 2 800. MeV 8.995 × 10 2 1.787 0.000 0.000 1.787 4.377 × 10 2 1.00 GeV 1.101 × 10 3 1.819 0.000 0.000 1.819 5.486 × 10 2 1.40 GeV 1.502

308

Table  

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

Muons Muons in Freon-12B2 (CF 2 Br 2 ) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.44901 1.800 284.9 0.05144 3.5565 0.3406 3.7956 5.7976 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 5.330 5.330 1.053 × 10 0 14.0 MeV 5.616 × 10 1 4.190 4.190 1.908 × 10 0 20.0 MeV 6.802 × 10 1 3.297 3.297 3.540 × 10 0 30.0 MeV 8.509 × 10 1 2.577 2.577 7.017 × 10 0 40.0 MeV 1.003 × 10 2 2.212 2.212 1.123 × 10 1 80.0 MeV 1.527 × 10 2 1.680 1.680 3.263 × 10 1 100. MeV 1.764 × 10 2 1.586 1.586 4.491 × 10 1 140. MeV 2.218 × 10 2 1.496 1.496 7.099 × 10 1 200. MeV 2.868 × 10 2 1.452 1.452 1.118 × 10 2 252. MeV 3.421 × 10 2 1.445 0.000 1.445 Minimum ionization 300. MeV 3.917 × 10 2 1.448 0.000 1.449 1.809 × 10 2 400. MeV 4.945 × 10 2 1.467 0.000 0.000 1.468 2.496 × 10 2 800. MeV 8.995 × 10 2 1.556 0.000 0.000 1.557 5.139 × 10 2 1.00 GeV 1.101 × 10 3 1.592 0.001 0.000 1.593 6.409 × 10 2 1.40 GeV

309

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

Muons Muons in Eye lens (ICRP) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.54977 1.100 73.3 0.09690 3.4550 0.2070 2.7446 3.3720 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.912 7.912 6.984 × 10 -1 14.0 MeV 5.616 × 10 1 6.171 6.171 1.277 × 10 0 20.0 MeV 6.802 × 10 1 4.819 4.819 2.390 × 10 0 30.0 MeV 8.509 × 10 1 3.738 3.738 4.779 × 10 0 40.0 MeV 1.003 × 10 2 3.192 3.192 7.693 × 10 0 80.0 MeV 1.527 × 10 2 2.396 2.396 2.262 × 10 1 100. MeV 1.764 × 10 2 2.251 2.251 3.125 × 10 1 140. MeV 2.218 × 10 2 2.095 2.096 4.976 × 10 1 200. MeV 2.868 × 10 2 2.006 2.006 7.914 × 10 1 300. MeV 3.917 × 10 2 1.971 0.000 1.971 1.296 × 10 2 318. MeV 4.105 × 10 2 1.971 0.000 1.971 Minimum ionization 400. MeV 4.945 × 10 2 1.977 0.000 1.977 1.803 × 10 2 800. MeV 8.995 × 10 2 2.051 0.000 0.000 2.051 3.790 × 10 2 1.00 GeV 1.101 × 10 3 2.085 0.000 0.000 2.085 4.756 × 10 2 1.40 GeV 1.502 × 10

310

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

Muons Muons in Compact bone (ICRU) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.53010 1.850 91.9 0.05822 3.6419 0.0944 3.0201 3.3390 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.406 7.406 7.477 × 10 -1 14.0 MeV 5.616 × 10 1 5.783 5.783 1.365 × 10 0 20.0 MeV 6.802 × 10 1 4.521 4.521 2.552 × 10 0 30.0 MeV 8.509 × 10 1 3.511 3.511 5.097 × 10 0 40.0 MeV 1.003 × 10 2 3.000 3.000 8.199 × 10 0 80.0 MeV 1.527 × 10 2 2.247 2.247 2.408 × 10 1 100. MeV 1.764 × 10 2 2.106 2.106 3.330 × 10 1 140. MeV 2.218 × 10 2 1.962 1.962 5.307 × 10 1 200. MeV 2.868 × 10 2 1.880 1.880 8.444 × 10 1 300. MeV 3.917 × 10 2 1.849 0.000 1.850 1.382 × 10 2 314. MeV 4.065 × 10 2 1.849 0.000 1.849 Minimum ionization 400. MeV 4.945 × 10 2 1.856 0.000 1.857 1.922 × 10 2 800. MeV 8.995 × 10 2 1.930 0.000 0.000 1.930 4.036 × 10 2 1.00 GeV 1.101 × 10 3 1.963 0.000 0.000 1.964 5.063 × 10 2 1.40 GeV 1.502

311

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

Muons Muons in Polyimide film (C 22 H 10 N 2 O 5 ) n Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.51264 1.420 79.6 0.15972 3.1921 0.1509 2.5631 3.3497 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.299 7.299 7.576 × 10 -1 14.0 MeV 5.616 × 10 1 5.695 5.695 1.385 × 10 0 20.0 MeV 6.802 × 10 1 4.449 4.449 2.590 × 10 0 30.0 MeV 8.509 × 10 1 3.453 3.453 5.177 × 10 0 40.0 MeV 1.003 × 10 2 2.949 2.949 8.332 × 10 0 80.0 MeV 1.527 × 10 2 2.214 2.214 2.448 × 10 1 100. MeV 1.764 × 10 2 2.074 2.074 3.384 × 10 1 140. MeV 2.218 × 10 2 1.932 1.932 5.392 × 10 1 200. MeV 2.868 × 10 2 1.851 1.851 8.577 × 10 1 300. MeV 3.917 × 10 2 1.820 0.000 1.820 1.404 × 10 2 314. MeV 4.065 × 10 2 1.820 0.000 1.820 Minimum ionization 400. MeV 4.945 × 10 2 1.826 0.000 1.827 1.953 × 10 2 800. MeV 8.995 × 10 2 1.897 0.000 0.000 1.898 4.102 × 10 2 1.00 GeV 1.101 × 10 3 1.929 0.000 0.000 1.930 5.147 × 10 2 1.40

312

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0 40.0 MeV 1.003 10 2 1.623 1.623 1.564 10 1 80.0 MeV 1.527 10 2 1.249 1.249 4.456 10 1 100. MeV 1.764 10 2 1.183 1.183 6.106 10 1 140. MeV 2.218 10 2 1.123...

313

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

GeV 3.104 10 3 1.413 0.007 0.003 0.001 1.425 2.316 10 3 4.00 GeV 4.104 10 3 1.456 0.011 0.006 0.002 1.475 3.006 10 3 8.00 GeV 8.105 10 3 1.556 0.026 0.022 0.003...

314

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

0 30.0 MeV 8.509 10 1 2.008 2.009 9.168 10 0 40.0 MeV 1.003 10 2 1.733 1.733 1.456 10 1 80.0 MeV 1.527 10 2 1.328 1.328 4.171 10 1 100. MeV 1.764 10 2 1.256...

315

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

0 30.0 MeV 8.509 10 1 3.053 3.053 5.894 10 0 40.0 MeV 1.003 10 2 2.615 2.615 9.456 10 0 80.0 MeV 1.527 10 2 1.968 1.968 2.764 10 1 100. MeV 1.764 10 2 1.850...

316

Table  

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

GeV 4.104 10 3 2.346 0.001 0.001 0.002 2.350 1.799 10 3 8.00 GeV 8.105 10 3 2.456 0.003 0.003 0.004 2.467 3.455 10 3 10.0 GeV 1.011 10 4 2.490 0.004 0.004 0.005...

317

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

2 400. MeV 4.945 10 2 1.371 0.000 0.000 1.372 2.674 10 2 800. MeV 8.995 10 2 1.456 0.001 0.000 1.457 5.500 10 2 1.00 GeV 1.101 10 3 1.490 0.001 0.000 1.491 6.857 ...

318

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

4.011 10 4 1.698 0.202 0.233 0.014 2.147 2.294 10 4 80.0 GeV 8.011 10 4 1.761 0.456 0.567 0.027 2.812 3.918 10 4 100. GeV 1.001 10 5 1.780 0.591 0.747 0.034 3.153...

319

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

8.226 10 0 40.0 MeV 1.003 10 2 1.906 1.906 1.312 10 1 80.0 MeV 1.527 10 2 1.456 1.456 3.785 10 1 100. MeV 1.764 10 2 1.376 1.376 5.202 10 1 140. MeV 2.218 ...

320

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

10.0 MeV 4.704 10 1 6.951 6.951 7.977 10 -1 14.0 MeV 5.616 10 1 5.429 5.430 1.456 10 0 20.0 MeV 6.802 10 1 4.246 4.246 2.720 10 0 30.0 MeV 8.509 10 1 3.298...

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321

Table  

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

0.031 0.008 2.173 1.006 10 4 30.0 GeV 3.011 10 4 2.155 0.044 0.054 0.012 2.265 1.456 10 4 40.0 GeV 4.011 10 4 2.188 0.061 0.079 0.016 2.345 1.890 10 4 80.0 GeV...

322

Table  

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

GeV 1.411 10 4 2.409 0.006 0.007 0.007 2.428 6.155 10 3 20.0 GeV 2.011 10 4 2.456 0.010 0.011 0.009 2.486 8.595 10 3 30.0 GeV 3.011 10 4 2.506 0.016 0.019 0.014...

323

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

0.003 0.003 0.004 2.420 3.522 10 3 10.0 GeV 1.011 10 4 2.443 0.004 0.004 0.005 2.456 4.342 10 3 14.0 GeV 1.411 10 4 2.490 0.006 0.007 0.007 2.510 5.952 10 3 20.0...

324

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

1.334 0.047 4.360 5.250 10 4 200. GeV 2.001 10 5 1.923 1.625 2.040 0.066 5.656 6.456 10 4 300. GeV 3.001 10 5 1.956 2.546 3.219 0.099 7.822 7.954 10 4 400. GeV...

325

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

GeV 1.502 10 3 1.397 0.002 0.000 0.001 1.399 1.061 10 3 2.00 GeV 2.103 10 3 1.456 0.003 0.001 0.001 1.461 1.480 10 3 3.00 GeV 3.104 10 3 1.522 0.006 0.003 0.001...

326

Table  

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

0.039 3.670 Muon critical energy 140. GeV 1.401 10 5 1.849 0.986 1.242 0.047 4.126 5.456 10 4 200. GeV 2.001 10 5 1.877 1.477 1.898 0.067 5.321 6.734 10 4 300. GeV...

327

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

4.0044 5000. 1.5381 2.1876 0.4429 4.1687 10000. 1.5732 2.2238 0.4632 4.2604 20000. 1.5980 2.2468 0.4870 4.3318 50000. 1.6181 2.2651 0.5242 4.4075 100000. 1.6279 2.2726 0.5560 4.456...

328

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

0.019 0.023 0.013 2.401 1.341 10 4 40.0 GeV 4.011 10 4 2.379 0.026 0.033 0.017 2.456 1.753 10 4 80.0 GeV 8.011 10 4 2.455 0.060 0.081 0.034 2.629 3.324 10 4 100....

329

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

0.377 0.029 2.674 3.738 10 4 100. GeV 1.001 10 5 2.007 0.363 0.495 0.036 2.902 4.456 10 4 140. GeV 1.401 10 5 2.037 0.533 0.739 0.050 3.360 5.736 10 4 200. GeV...

330

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

10 2 1.685 0.000 1.685 2.136 10 2 800. MeV 8.995 10 2 1.763 0.000 0.000 1.763 4.456 10 2 1.00 GeV 1.101 10 3 1.796 0.000 0.000 1.797 5.579 10 2 1.40 GeV 1.502 ...

331

Table  

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

6.914 10 1 200. MeV 2.868 10 2 1.469 1.469 1.094 10 2 273. MeV 3.633 10 2 1.456 0.000 1.456 Minimum ionization 300. MeV 3.917 10 2 1.457 0.000 1.457 1.779 10 2...

332

Table  

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

Muons Muons in B-100 Bone-equivalent plastic Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.52740 1.450 85.9 0.05268 3.7365 0.1252 3.0420 3.4528 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.435 7.435 7.443 × 10 -1 14.0 MeV 5.616 × 10 1 5.803 5.803 1.360 × 10 0 20.0 MeV 6.802 × 10 1 4.535 4.535 2.543 × 10 0 30.0 MeV 8.509 × 10 1 3.521 3.521 5.080 × 10 0 40.0 MeV 1.003 × 10 2 3.008 3.008 8.173 × 10 0 80.0 MeV 1.527 × 10 2 2.256 2.256 2.401 × 10 1 100. MeV 1.764 × 10 2 2.115 2.115 3.319 × 10 1 140. MeV 2.218 × 10 2 1.971 1.971 5.287 × 10 1 200. MeV 2.868 × 10 2 1.889 1.889 8.408 × 10 1 300. MeV 3.917 × 10 2 1.859 0.000 1.859 1.376 × 10 2 314. MeV 4.065 × 10 2 1.859 0.000 1.859 Minimum ionization 400. MeV 4.945 × 10 2 1.866 0.000 1.866 1.913 × 10 2 800. MeV 8.995 × 10 2 1.940 0.000 0.000 1.940 4.016 × 10 2 1.00 GeV 1.101 × 10 3 1.973 0.000 0.000 1.974 5.037 × 10 2 1.40

333

Table  

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

Muons Muons in Sodium monoxide Na 2 O Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.48404 2.270 148.8 0.07501 3.6943 0.1652 2.9793 4.1892 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 6.330 6.330 8.793 × 10 -1 14.0 MeV 5.616 × 10 1 4.955 4.956 1.601 × 10 0 20.0 MeV 6.802 × 10 1 3.883 3.884 2.984 × 10 0 30.0 MeV 8.509 × 10 1 3.024 3.024 5.943 × 10 0 40.0 MeV 1.003 × 10 2 2.588 2.588 9.541 × 10 0 80.0 MeV 1.527 × 10 2 1.954 1.954 2.789 × 10 1 100. MeV 1.764 × 10 2 1.840 1.840 3.846 × 10 1 140. MeV 2.218 × 10 2 1.725 1.725 6.102 × 10 1 200. MeV 2.868 × 10 2 1.663 1.664 9.656 × 10 1 283. MeV 3.738 × 10 2 1.646 0.000 1.647 Minimum ionization 300. MeV 3.917 × 10 2 1.647 0.000 1.647 1.571 × 10 2 400. MeV 4.945 × 10 2 1.659 0.000 1.660 2.177 × 10 2 800. MeV 8.995 × 10 2 1.738 0.000 0.000 1.738 4.531 × 10 2 1.00 GeV 1.101 × 10 3 1.771 0.000 0.000 1.772 5.670 × 10 2 1.40 GeV 1.502

334

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

Muons Muons in Tissue-equivalent gas (Propane based) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.55027 1.826 × 10 -3 59.5 0.09802 3.5159 1.5139 3.9916 9.3529 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 8.132 8.132 6.782 × 10 -1 14.0 MeV 5.616 × 10 1 6.337 6.337 1.241 × 10 0 20.0 MeV 6.802 × 10 1 4.943 4.944 2.326 × 10 0 30.0 MeV 8.509 × 10 1 3.831 3.831 4.656 × 10 0 40.0 MeV 1.003 × 10 2 3.269 3.269 7.500 × 10 0 80.0 MeV 1.527 × 10 2 2.450 2.450 2.209 × 10 1 100. MeV 1.764 × 10 2 2.303 2.303 3.053 × 10 1 140. MeV 2.218 × 10 2 2.158 2.158 4.855 × 10 1 200. MeV 2.868 × 10 2 2.084 2.084 7.695 × 10 1 263. MeV 3.527 × 10 2 2.068 0.000 2.069 Minimum ionization 300. MeV 3.917 × 10 2 2.071 0.000 2.072 1.252 × 10 2 400. MeV 4.945 × 10 2 2.097 0.000 2.097 1.732 × 10 2 800. MeV 8.995 × 10 2 2.232 0.000 0.000 2.232 3.580 × 10 2 1.00 GeV 1.101 × 10 3 2.289 0.000 0.000 2.290

335

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

Muons Muons in Lead oxide (PbO) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.40323 9.530 766.7 0.19645 2.7299 0.0356 3.5456 6.2162 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 4.046 4.046 1.411 × 10 0 14.0 MeV 5.616 × 10 1 3.207 3.207 2.532 × 10 0 20.0 MeV 6.802 × 10 1 2.542 2.542 4.656 × 10 0 30.0 MeV 8.509 × 10 1 2.003 2.003 9.146 × 10 0 40.0 MeV 1.003 × 10 2 1.727 1.727 1.455 × 10 1 80.0 MeV 1.527 × 10 2 1.327 1.327 4.176 × 10 1 100. MeV 1.764 × 10 2 1.256 1.256 5.729 × 10 1 140. MeV 2.218 × 10 2 1.188 1.189 9.017 × 10 1 200. MeV 2.868 × 10 2 1.158 1.158 1.415 × 10 2 236. MeV 3.250 × 10 2 1.155 0.000 1.155 Minimum ionization 300. MeV 3.917 × 10 2 1.161 0.000 0.000 1.161 2.279 × 10 2 400. MeV 4.945 × 10 2 1.181 0.000 0.000 1.181 3.133 × 10 2 800. MeV 8.995 × 10 2 1.266 0.001 0.000 1.267 6.398 × 10 2 1.00 GeV 1.101 × 10 3 1.299 0.001 0.000 1.301 7.955 × 10 2 1.40

336

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

Muons Muons in Liquid argon (Ar) Z A [g/mol] ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 18 (Ar) 39.948 (1) 1.396 188.0 0.19559 3.0000 0.2000 3.0000 5.2146 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 5.687 5.687 9.833 × 10 -1 14.0 MeV 5.616 × 10 1 4.461 4.461 1.786 × 10 0 20.0 MeV 6.802 × 10 1 3.502 3.502 3.321 × 10 0 30.0 MeV 8.509 × 10 1 2.731 2.731 6.598 × 10 0 40.0 MeV 1.003 × 10 2 2.340 2.340 1.058 × 10 1 80.0 MeV 1.527 × 10 2 1.771 1.771 3.084 × 10 1 100. MeV 1.764 × 10 2 1.669 1.670 4.250 × 10 1 140. MeV 2.218 × 10 2 1.570 1.570 6.732 × 10 1 200. MeV 2.868 × 10 2 1.518 1.519 1.063 × 10 2 266. MeV 3.567 × 10 2 1.508 0.000 1.508 Minimum ionization 300. MeV 3.917 × 10 2 1.509 0.000 1.510 1.725 × 10 2 400. MeV 4.945 × 10 2 1.526 0.000 0.000 1.526 2.385 × 10 2 800. MeV 8.995 × 10 2 1.610 0.000 0.000 1.610 4.934 × 10 2 1.00 GeV 1.101 × 10 3 1.644 0.000 0.000 1.645 6.163

337

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

Muons Muons in Freon-13 (CF 3 Cl) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.47966 0.950 126.6 0.07238 3.5551 0.3659 3.2337 4.7483 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 6.416 6.416 8.659 × 10 -1 14.0 MeV 5.616 × 10 1 5.019 5.019 1.578 × 10 0 20.0 MeV 6.802 × 10 1 3.930 3.930 2.945 × 10 0 30.0 MeV 8.509 × 10 1 3.057 3.057 5.870 × 10 0 40.0 MeV 1.003 × 10 2 2.615 2.615 9.430 × 10 0 80.0 MeV 1.527 × 10 2 1.971 1.971 2.760 × 10 1 100. MeV 1.764 × 10 2 1.857 1.857 3.809 × 10 1 140. MeV 2.218 × 10 2 1.745 1.745 6.041 × 10 1 200. MeV 2.868 × 10 2 1.685 1.685 9.551 × 10 1 283. MeV 3.738 × 10 2 1.668 0.000 1.668 Minimum ionization 300. MeV 3.917 × 10 2 1.668 0.000 1.668 1.553 × 10 2 400. MeV 4.945 × 10 2 1.681 0.000 1.681 2.151 × 10 2 800. MeV 8.995 × 10 2 1.762 0.000 0.000 1.763 4.473 × 10 2 1.00 GeV 1.101 × 10 3 1.796 0.000 0.000 1.797 5.596 × 10 2 1.40 GeV 1.502

338

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

Muons Muons in Lutetium silicon oxide [Lu 2 SiO 5 ] Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.42793 7.400 472.0 0.20623 3.0000 0.2732 3.0000 5.4394 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 4.679 4.679 1.209 × 10 0 14.0 MeV 5.616 × 10 1 3.692 3.693 2.181 × 10 0 20.0 MeV 6.802 × 10 1 2.916 2.916 4.029 × 10 0 30.0 MeV 8.509 × 10 1 2.287 2.287 7.953 × 10 0 40.0 MeV 1.003 × 10 2 1.968 1.968 1.270 × 10 1 80.0 MeV 1.527 × 10 2 1.503 1.503 3.666 × 10 1 100. MeV 1.764 × 10 2 1.421 1.422 5.038 × 10 1 140. MeV 2.218 × 10 2 1.344 1.344 7.944 × 10 1 200. MeV 2.868 × 10 2 1.308 1.308 1.248 × 10 2 242. MeV 3.316 × 10 2 1.304 1.304 Minimum ionization 300. MeV 3.917 × 10 2 1.309 0.000 0.000 1.309 2.014 × 10 2 400. MeV 4.945 × 10 2 1.329 0.000 0.000 1.329 2.773 × 10 2 800. MeV 8.995 × 10 2 1.415 0.001 0.000 1.416 5.684 × 10 2 1.00 GeV 1.101 × 10 3 1.449 0.001 0.000 1.450 7.080

339

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

Muons Muons in Boron oxide (B 2 O 3 ) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.49839 1.812 99.6 0.11548 3.3832 0.1843 2.7379 3.6027 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 6.889 6.889 8.045 × 10 -1 14.0 MeV 5.616 × 10 1 5.381 5.381 1.468 × 10 0 20.0 MeV 6.802 × 10 1 4.208 4.208 2.744 × 10 0 30.0 MeV 8.509 × 10 1 3.269 3.269 5.477 × 10 0 40.0 MeV 1.003 × 10 2 2.794 2.794 8.807 × 10 0 80.0 MeV 1.527 × 10 2 2.102 2.103 2.583 × 10 1 100. MeV 1.764 × 10 2 1.975 1.975 3.567 × 10 1 140. MeV 2.218 × 10 2 1.843 1.843 5.674 × 10 1 200. MeV 2.868 × 10 2 1.768 1.768 9.010 × 10 1 300. MeV 3.917 × 10 2 1.742 0.000 1.742 1.472 × 10 2 307. MeV 3.990 × 10 2 1.742 0.000 1.742 Minimum ionization 400. MeV 4.945 × 10 2 1.750 0.000 1.750 2.045 × 10 2 800. MeV 8.995 × 10 2 1.822 0.000 0.000 1.823 4.285 × 10 2 1.00 GeV 1.101 × 10 3 1.854 0.000 0.000 1.855 5.373 × 10 2 1.40 GeV 1.502

340

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

Muons Muons in Liquid H-note density shift (H 2 ) Z A [g/mol] ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 1 (H) 1.00794 (7) 7.080 × 10 -2 21.8 0.32969 3.0000 0.1641 1.9641 2.6783 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 16.508 16.508 3.316 × 10 -1 14.0 MeV 5.616 × 10 1 12.812 12.812 6.097 × 10 -1 20.0 MeV 6.802 × 10 1 9.956 9.956 1.147 × 10 0 30.0 MeV 8.509 × 10 1 7.684 7.684 2.307 × 10 0 40.0 MeV 1.003 × 10 2 6.539 6.539 3.727 × 10 0 80.0 MeV 1.527 × 10 2 4.870 4.870 1.105 × 10 1 100. MeV 1.764 × 10 2 4.550 4.550 1.531 × 10 1 140. MeV 2.218 × 10 2 4.217 4.217 2.448 × 10 1 200. MeV 2.868 × 10 2 4.018 0.000 4.018 3.912 × 10 1 300. MeV 3.917 × 10 2 3.926 0.000 3.926 6.438 × 10 1 356. MeV 4.497 × 10 2 3.919 0.000 3.919 Minimum ionization 400. MeV 4.945 × 10 2 3.922 0.000 3.922 8.988 × 10 1 800. MeV 8.995 × 10 2 4.029 0.000 4.030 1.906 × 10 2 1.00 GeV 1.101 × 10 3 4.084 0.001

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341

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Muons Muons in Cortical bone (ICRP) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.52130 1.850 106.4 0.06198 3.5919 0.1161 3.0919 3.6488 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.142 7.142 7.765 × 10 -1 14.0 MeV 5.616 × 10 1 5.581 5.581 1.417 × 10 0 20.0 MeV 6.802 × 10 1 4.366 4.366 2.646 × 10 0 30.0 MeV 8.509 × 10 1 3.393 3.393 5.281 × 10 0 40.0 MeV 1.003 × 10 2 2.900 2.901 8.489 × 10 0 80.0 MeV 1.527 × 10 2 2.179 2.179 2.489 × 10 1 100. MeV 1.764 × 10 2 2.044 2.044 3.440 × 10 1 140. MeV 2.218 × 10 2 1.907 1.907 5.475 × 10 1 200. MeV 2.868 × 10 2 1.830 1.830 8.700 × 10 1 300. MeV 3.917 × 10 2 1.803 0.000 1.803 1.422 × 10 2 303. MeV 3.950 × 10 2 1.803 0.000 1.803 Minimum ionization 400. MeV 4.945 × 10 2 1.812 0.000 1.812 1.976 × 10 2 800. MeV 8.995 × 10 2 1.888 0.000 0.000 1.889 4.138 × 10 2 1.00 GeV 1.101 × 10 3 1.922 0.000 0.000 1.923 5.187 × 10 2 1.40 GeV 1.502

342

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Muons Muons in Freon-13B1 (CF 3 Br) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.45665 1.500 210.5 0.03925 3.7194 0.3522 3.7554 5.3555 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 5.678 5.678 9.844 × 10 -1 14.0 MeV 5.616 × 10 1 4.454 4.454 1.788 × 10 0 20.0 MeV 6.802 × 10 1 3.498 3.498 3.325 × 10 0 30.0 MeV 8.509 × 10 1 2.729 2.729 6.606 × 10 0 40.0 MeV 1.003 × 10 2 2.339 2.339 1.059 × 10 1 80.0 MeV 1.527 × 10 2 1.771 1.771 3.086 × 10 1 100. MeV 1.764 × 10 2 1.671 1.671 4.251 × 10 1 140. MeV 2.218 × 10 2 1.574 1.574 6.729 × 10 1 200. MeV 2.868 × 10 2 1.524 1.524 1.062 × 10 2 266. MeV 3.567 × 10 2 1.513 0.000 1.513 Minimum ionization 300. MeV 3.917 × 10 2 1.515 0.000 1.515 1.721 × 10 2 400. MeV 4.945 × 10 2 1.531 0.000 0.000 1.532 2.378 × 10 2 800. MeV 8.995 × 10 2 1.616 0.000 0.000 1.616 4.919 × 10 2 1.00 GeV 1.101 × 10 3 1.650 0.001 0.000 1.651 6.142 × 10 2 1.40 GeV

343

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

Muons Muons in Sodium carbonate (Na 2 CO 3 ) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.49062 2.532 125.0 0.08715 3.5638 0.1287 2.8591 3.7178 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 6.575 6.575 8.449 × 10 -1 14.0 MeV 5.616 × 10 1 5.142 5.142 1.540 × 10 0 20.0 MeV 6.802 × 10 1 4.026 4.026 2.874 × 10 0 30.0 MeV 8.509 × 10 1 3.131 3.131 5.729 × 10 0 40.0 MeV 1.003 × 10 2 2.679 2.679 9.204 × 10 0 80.0 MeV 1.527 × 10 2 2.017 2.017 2.695 × 10 1 100. MeV 1.764 × 10 2 1.895 1.895 3.721 × 10 1 140. MeV 2.218 × 10 2 1.771 1.772 5.914 × 10 1 200. MeV 2.868 × 10 2 1.703 1.703 9.381 × 10 1 298. MeV 3.894 × 10 2 1.681 0.000 1.681 Minimum ionization 300. MeV 3.917 × 10 2 1.681 0.000 1.681 1.531 × 10 2 400. MeV 4.945 × 10 2 1.690 0.000 1.691 2.125 × 10 2 800. MeV 8.995 × 10 2 1.764 0.000 0.000 1.764 4.440 × 10 2 1.00 GeV 1.101 × 10 3 1.796 0.000 0.000 1.797 5.563 × 10 2 1.40

344

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Muons Muons in Tungsten hexafluoride (WF 6 ) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.42976 2.400 354.4 0.03658 3.5134 0.3020 4.2602 5.9881 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 4.928 4.928 1.143 × 10 0 14.0 MeV 5.616 × 10 1 3.880 3.880 2.067 × 10 0 20.0 MeV 6.802 × 10 1 3.057 3.057 3.828 × 10 0 30.0 MeV 8.509 × 10 1 2.393 2.393 7.574 × 10 0 40.0 MeV 1.003 × 10 2 2.056 2.056 1.211 × 10 1 80.0 MeV 1.527 × 10 2 1.565 1.565 3.509 × 10 1 100. MeV 1.764 × 10 2 1.479 1.479 4.827 × 10 1 140. MeV 2.218 × 10 2 1.396 1.396 7.623 × 10 1 200. MeV 2.868 × 10 2 1.353 1.353 1.200 × 10 2 253. MeV 3.431 × 10 2 1.346 0.000 1.346 Minimum ionization 300. MeV 3.917 × 10 2 1.349 0.000 0.000 1.349 1.942 × 10 2 400. MeV 4.945 × 10 2 1.367 0.000 0.000 1.367 2.679 × 10 2 800. MeV 8.995 × 10 2 1.451 0.001 0.000 1.452 5.516 × 10 2 1.00 GeV 1.101 × 10 3 1.485 0.001 0.000 1.486 6.877

345

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Muons Muons in Standard rock Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.50000 2.650 136.4 0.08301 3.4120 0.0492 3.0549 3.7738 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 6.619 6.619 8.400 × 10 -1 14.0 MeV 5.616 × 10 1 5.180 5.180 1.530 × 10 0 20.0 MeV 6.802 × 10 1 4.057 4.057 2.854 × 10 0 30.0 MeV 8.509 × 10 1 3.157 3.157 5.687 × 10 0 40.0 MeV 1.003 × 10 2 2.701 2.702 9.133 × 10 0 80.0 MeV 1.527 × 10 2 2.028 2.029 2.675 × 10 1 100. MeV 1.764 × 10 2 1.904 1.904 3.695 × 10 1 140. MeV 2.218 × 10 2 1.779 1.779 5.878 × 10 1 200. MeV 2.868 × 10 2 1.710 1.710 9.331 × 10 1 297. MeV 3.884 × 10 2 1.688 0.000 1.688 Minimum ionization 300. MeV 3.917 × 10 2 1.688 0.000 1.688 1.523 × 10 2 400. MeV 4.945 × 10 2 1.698 0.000 1.698 2.114 × 10 2 800. MeV 8.995 × 10 2 1.774 0.000 0.000 1.775 4.418 × 10 2 1.00 GeV 1.101 × 10 3 1.808 0.000 0.000 1.808 5.534 × 10 2 1.40 GeV 1.502 × 10

346

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Muons Muons in Ceric sulfate dosimeter solution Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.55279 1.030 76.7 0.07666 3.5607 0.2363 2.8769 3.5212 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.909 7.909 6.989 × 10 -1 14.0 MeV 5.616 × 10 1 6.170 6.170 1.278 × 10 0 20.0 MeV 6.802 × 10 1 4.819 4.819 2.391 × 10 0 30.0 MeV 8.509 × 10 1 3.739 3.739 4.779 × 10 0 40.0 MeV 1.003 × 10 2 3.193 3.193 7.693 × 10 0 80.0 MeV 1.527 × 10 2 2.398 2.398 2.261 × 10 1 100. MeV 1.764 × 10 2 2.255 2.255 3.123 × 10 1 140. MeV 2.218 × 10 2 2.102 2.102 4.968 × 10 1 200. MeV 2.868 × 10 2 2.013 2.014 7.896 × 10 1 300. MeV 3.917 × 10 2 1.980 0.000 1.980 1.292 × 10 2 317. MeV 4.096 × 10 2 1.979 0.000 1.979 Minimum ionization 400. MeV 4.945 × 10 2 1.986 0.000 1.986 1.797 × 10 2 800. MeV 8.995 × 10 2 2.062 0.000 0.000 2.062 3.774 × 10 2 1.00 GeV 1.101 × 10 3 2.096 0.000 0.000 2.097 4.735 × 10

347

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Muons Muons in Silicon Z A [g/mol] ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 14 (Si) 28.0855 (3) 2.329 173.0 0.14921 3.2546 0.2015 2.8716 4.4355 0.14 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 6.363 6.363 8.779 × 10 -1 14.0 MeV 5.616 × 10 1 4.987 4.987 1.595 × 10 0 20.0 MeV 6.802 × 10 1 3.912 3.912 2.969 × 10 0 30.0 MeV 8.509 × 10 1 3.047 3.047 5.905 × 10 0 40.0 MeV 1.003 × 10 2 2.608 2.608 9.476 × 10 0 80.0 MeV 1.527 × 10 2 1.965 1.965 2.770 × 10 1 100. MeV 1.764 × 10 2 1.849 1.849 3.822 × 10 1 140. MeV 2.218 × 10 2 1.737 1.737 6.064 × 10 1 200. MeV 2.868 × 10 2 1.678 1.678 9.590 × 10 1 273. MeV 3.633 × 10 2 1.664 0.000 1.664 Minimum ionization 300. MeV 3.917 × 10 2 1.665 0.000 1.666 1.559 × 10 2 400. MeV 4.945 × 10 2 1.681 0.000 1.681 2.157 × 10 2 800. MeV 8.995 × 10 2 1.767 0.000 0.000 1.768 4.475 × 10 2 1.00 GeV 1.101 × 10 3 1.803 0.000 0.000 1.804 5.595 × 10 2 1.40 GeV

348

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Muons Muons in Polyethylene terephthalate (Mylar) (C 10 H 8 O 4 ) n Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.52037 1.400 78.7 0.12679 3.3076 0.1562 2.6507 3.3262 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.420 7.420 7.451 × 10 -1 14.0 MeV 5.616 × 10 1 5.789 5.789 1.362 × 10 0 20.0 MeV 6.802 × 10 1 4.522 4.522 2.548 × 10 0 30.0 MeV 8.509 × 10 1 3.509 3.509 5.093 × 10 0 40.0 MeV 1.003 × 10 2 2.997 2.997 8.197 × 10 0 80.0 MeV 1.527 × 10 2 2.250 2.250 2.409 × 10 1 100. MeV 1.764 × 10 2 2.108 2.108 3.329 × 10 1 140. MeV 2.218 × 10 2 1.963 1.964 5.305 × 10 1 200. MeV 2.868 × 10 2 1.880 1.880 8.440 × 10 1 300. MeV 3.917 × 10 2 1.849 0.000 1.849 1.382 × 10 2 317. MeV 4.096 × 10 2 1.848 0.000 1.849 Minimum ionization 400. MeV 4.945 × 10 2 1.855 0.000 1.855 1.922 × 10 2 800. MeV 8.995 × 10 2 1.926 0.000 0.000 1.926 4.039 × 10 2 1.00 GeV 1.101 × 10 3 1.958 0.000 0.000 1.959

349

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Muons Muons in Dichlorodiethyl ether C 4 Cl 2 H 8 O Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.51744 1.220 103.3 0.06799 3.5250 0.1773 3.1586 4.0135 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.117 7.117 7.789 × 10 -1 14.0 MeV 5.616 × 10 1 5.561 5.561 1.421 × 10 0 20.0 MeV 6.802 × 10 1 4.349 4.349 2.655 × 10 0 30.0 MeV 8.509 × 10 1 3.380 3.380 5.300 × 10 0 40.0 MeV 1.003 × 10 2 2.889 2.889 8.521 × 10 0 80.0 MeV 1.527 × 10 2 2.174 2.174 2.499 × 10 1 100. MeV 1.764 × 10 2 2.042 2.042 3.450 × 10 1 140. MeV 2.218 × 10 2 1.907 1.907 5.486 × 10 1 200. MeV 2.868 × 10 2 1.832 1.832 8.708 × 10 1 298. MeV 3.894 × 10 2 1.807 0.000 1.807 Minimum ionization 300. MeV 3.917 × 10 2 1.807 0.000 1.807 1.422 × 10 2 400. MeV 4.945 × 10 2 1.817 0.000 1.817 1.974 × 10 2 800. MeV 8.995 × 10 2 1.895 0.000 0.000 1.896 4.129 × 10 2 1.00 GeV 1.101 × 10 3 1.930 0.000 0.000 1.931 5.174 × 10

350

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

Muons Muons in Lead Z A [g/mol] ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 82 (Pb) 207.2 (1) 11.350 823.0 0.09359 3.1608 0.3776 3.8073 6.2018 0.14 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 3.823 3.823 1.524 × 10 0 14.0 MeV 5.616 × 10 1 3.054 3.054 2.705 × 10 0 20.0 MeV 6.802 × 10 1 2.436 2.436 4.927 × 10 0 30.0 MeV 8.509 × 10 1 1.928 1.928 9.600 × 10 0 40.0 MeV 1.003 × 10 2 1.666 1.666 1.521 × 10 1 80.0 MeV 1.527 × 10 2 1.283 1.283 4.338 × 10 1 100. MeV 1.764 × 10 2 1.215 1.215 5.943 × 10 1 140. MeV 2.218 × 10 2 1.151 1.152 9.339 × 10 1 200. MeV 2.868 × 10 2 1.124 1.124 1.463 × 10 2 226. MeV 3.145 × 10 2 1.122 0.000 1.123 Minimum ionization 300. MeV 3.917 × 10 2 1.130 0.000 0.000 1.131 2.352 × 10 2 400. MeV 4.945 × 10 2 1.151 0.000 0.000 1.152 3.228 × 10 2 800. MeV 8.995 × 10 2 1.237 0.001 0.000 1.238 6.572 × 10 2 1.00 GeV 1.101 × 10 3 1.270 0.001 0.000 1.272 8.165 × 10 2 1.40

351

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

Muons Muons in Sodium iodide (NaI) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.42697 3.667 452.0 0.12516 3.0398 0.1203 3.5920 6.0572 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 4.703 4.703 1.202 × 10 0 14.0 MeV 5.616 × 10 1 3.710 3.710 2.169 × 10 0 20.0 MeV 6.802 × 10 1 2.928 2.928 4.009 × 10 0 30.0 MeV 8.509 × 10 1 2.297 2.297 7.917 × 10 0 40.0 MeV 1.003 × 10 2 1.975 1.975 1.264 × 10 1 80.0 MeV 1.527 × 10 2 1.509 1.509 3.652 × 10 1 100. MeV 1.764 × 10 2 1.427 1.427 5.019 × 10 1 140. MeV 2.218 × 10 2 1.347 1.348 7.916 × 10 1 200. MeV 2.868 × 10 2 1.310 1.310 1.245 × 10 2 243. MeV 3.325 × 10 2 1.305 1.305 Minimum ionization 300. MeV 3.917 × 10 2 1.310 0.000 0.000 1.310 2.010 × 10 2 400. MeV 4.945 × 10 2 1.329 0.000 0.000 1.330 2.768 × 10 2 800. MeV 8.995 × 10 2 1.417 0.001 0.000 1.418 5.677 × 10 2 1.00 GeV 1.101 × 10 3 1.452 0.001 0.000 1.453 7.070 × 10 2 1.40 GeV

352

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

Muons Muons in Polyvinyl alcohol (C 2 H3-O-H) n Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.54480 1.300 69.7 0.11178 3.3893 0.1401 2.6315 3.1115 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.891 7.891 6.999 × 10 -1 14.0 MeV 5.616 × 10 1 6.153 6.153 1.280 × 10 0 20.0 MeV 6.802 × 10 1 4.804 4.804 2.396 × 10 0 30.0 MeV 8.509 × 10 1 3.726 3.726 4.793 × 10 0 40.0 MeV 1.003 × 10 2 3.181 3.181 7.717 × 10 0 80.0 MeV 1.527 × 10 2 2.383 2.384 2.270 × 10 1 100. MeV 1.764 × 10 2 2.231 2.232 3.140 × 10 1 140. MeV 2.218 × 10 2 2.076 2.076 5.007 × 10 1 200. MeV 2.868 × 10 2 1.986 1.986 7.974 × 10 1 300. MeV 3.917 × 10 2 1.950 0.000 1.950 1.307 × 10 2 324. MeV 4.161 × 10 2 1.949 0.000 1.949 Minimum ionization 400. MeV 4.945 × 10 2 1.955 0.000 1.955 1.820 × 10 2 800. MeV 8.995 × 10 2 2.026 0.000 0.000 2.026 3.830 × 10 2 1.00 GeV 1.101 × 10 3 2.059 0.000 0.000 2.059 4.809 × 10 2 1.40

353

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

Muons Muons in Cesium Z A [g/mol] ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 55 (Cs)132.9054519 (2) 1.873 488.0 0.18233 2.8866 0.5473 3.5914 6.9135 0.14 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 4.464 4.464 1.277 × 10 0 14.0 MeV 5.616 × 10 1 3.532 3.532 2.294 × 10 0 20.0 MeV 6.802 × 10 1 2.794 2.794 4.224 × 10 0 30.0 MeV 8.509 × 10 1 2.195 2.195 8.315 × 10 0 40.0 MeV 1.003 × 10 2 1.890 1.890 1.325 × 10 1 80.0 MeV 1.527 × 10 2 1.444 1.444 3.820 × 10 1 100. MeV 1.764 × 10 2 1.366 1.366 5.248 × 10 1 140. MeV 2.218 × 10 2 1.291 1.291 8.274 × 10 1 200. MeV 2.868 × 10 2 1.257 1.257 1.300 × 10 2 236. MeV 3.250 × 10 2 1.254 1.254 Minimum ionization 300. MeV 3.917 × 10 2 1.261 0.000 0.000 1.261 2.096 × 10 2 400. MeV 4.945 × 10 2 1.284 0.000 0.000 1.285 2.882 × 10 2 800. MeV 8.995 × 10 2 1.378 0.001 0.000 1.380 5.881 × 10 2 1.00 GeV 1.101 × 10 3 1.415 0.001 0.000 1.417 7.311 × 10 2

354

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Muons Muons in Propane (C 3 H 8 ) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.58962 1.868 × 10 -3 47.1 0.09916 3.5920 1.4339 3.8011 8.7939 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 8.969 8.969 6.137 × 10 -1 14.0 MeV 5.616 × 10 1 6.982 6.982 1.125 × 10 0 20.0 MeV 6.802 × 10 1 5.441 5.441 2.109 × 10 0 30.0 MeV 8.509 × 10 1 4.212 4.213 4.228 × 10 0 40.0 MeV 1.003 × 10 2 3.592 3.592 6.815 × 10 0 80.0 MeV 1.527 × 10 2 2.688 2.688 2.010 × 10 1 100. MeV 1.764 × 10 2 2.525 2.526 2.780 × 10 1 140. MeV 2.218 × 10 2 2.365 2.365 4.424 × 10 1 200. MeV 2.868 × 10 2 2.281 2.281 7.018 × 10 1 267. MeV 3.577 × 10 2 2.262 0.000 2.263 Minimum ionization 300. MeV 3.917 × 10 2 2.265 0.000 2.265 1.143 × 10 2 400. MeV 4.945 × 10 2 2.291 0.000 2.291 1.582 × 10 2 800. MeV 8.995 × 10 2 2.434 0.000 0.000 2.435 3.275 × 10 2 1.00 GeV 1.101 × 10 3 2.495 0.000 0.000 2.496 4.086 × 10 2 1.40 GeV 1.502

355

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

Muons Muons in Polystyrene ([C 6 H 5 CHCH 2 ] n ) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.53768 1.060 68.7 0.16454 3.2224 0.1647 2.5031 3.2999 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.803 7.803 7.077 × 10 -1 14.0 MeV 5.616 × 10 1 6.084 6.084 1.294 × 10 0 20.0 MeV 6.802 × 10 1 4.749 4.749 2.424 × 10 0 30.0 MeV 8.509 × 10 1 3.683 3.683 4.848 × 10 0 40.0 MeV 1.003 × 10 2 3.144 3.144 7.806 × 10 0 80.0 MeV 1.527 × 10 2 2.359 2.359 2.296 × 10 1 100. MeV 1.764 × 10 2 2.210 2.211 3.174 × 10 1 140. MeV 2.218 × 10 2 2.058 2.058 5.059 × 10 1 200. MeV 2.868 × 10 2 1.970 1.971 8.049 × 10 1 300. MeV 3.917 × 10 2 1.937 0.000 1.937 1.318 × 10 2 318. MeV 4.105 × 10 2 1.936 0.000 1.936 Minimum ionization 400. MeV 4.945 × 10 2 1.942 0.000 1.943 1.834 × 10 2 800. MeV 8.995 × 10 2 2.015 0.000 0.000 2.015 3.856 × 10 2 1.00 GeV 1.101 × 10 3 2.048 0.000 0.000 2.049 4.841 × 10 2 1.40

356

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

Muons Muons in Air (dry, 1 atm) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.49919 1.205 × 10 -3 85.7 0.10914 3.3994 1.7418 4.2759 10.5961 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.039 7.039 7.862 × 10 -1 14.0 MeV 5.616 × 10 1 5.494 5.495 1.436 × 10 0 20.0 MeV 6.802 × 10 1 4.294 4.294 2.686 × 10 0 30.0 MeV 8.509 × 10 1 3.333 3.333 5.366 × 10 0 40.0 MeV 1.003 × 10 2 2.847 2.847 8.633 × 10 0 80.0 MeV 1.527 × 10 2 2.140 2.140 2.535 × 10 1 100. MeV 1.764 × 10 2 2.013 2.014 3.501 × 10 1 140. MeV 2.218 × 10 2 1.889 1.889 5.562 × 10 1 200. MeV 2.868 × 10 2 1.827 1.827 8.803 × 10 1 257. MeV 3.471 × 10 2 1.815 0.000 1.816 Minimum ionization 300. MeV 3.917 × 10 2 1.819 0.000 1.819 1.430 × 10 2 400. MeV 4.945 × 10 2 1.844 0.000 1.844 1.977 × 10 2 800. MeV 8.995 × 10 2 1.968 0.000 0.000 1.968 4.074 × 10 2 1.00 GeV 1.101 × 10 3 2.020 0.000 0.000 2.021 5.077 × 10 2 1.40 GeV 1.502

357

Table  

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

Muons Muons in Lead tungstate (PbWO 4 ) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.41315 8.300 600.7 0.22758 3.0000 0.4068 3.0023 5.8528 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 4.333 4.333 1.311 × 10 0 14.0 MeV 5.616 × 10 1 3.426 3.426 2.360 × 10 0 20.0 MeV 6.802 × 10 1 2.710 2.711 4.350 × 10 0 30.0 MeV 8.509 × 10 1 2.131 2.131 8.566 × 10 0 40.0 MeV 1.003 × 10 2 1.835 1.835 1.365 × 10 1 80.0 MeV 1.527 × 10 2 1.406 1.406 3.931 × 10 1 100. MeV 1.764 × 10 2 1.331 1.331 5.397 × 10 1 140. MeV 2.218 × 10 2 1.261 1.261 8.498 × 10 1 200. MeV 2.868 × 10 2 1.231 1.231 1.333 × 10 2 227. MeV 3.154 × 10 2 1.229 1.230 Minimum ionization 300. MeV 3.917 × 10 2 1.237 0.000 0.000 1.238 2.145 × 10 2 400. MeV 4.945 × 10 2 1.260 0.000 0.000 1.260 2.946 × 10 2 800. MeV 8.995 × 10 2 1.349 0.001 0.000 1.350 6.007 × 10 2 1.00 GeV 1.101 × 10 3 1.383 0.001 0.000 1.385 7.469 × 10 2 1.40

358

Table  

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

Muons Muons in Carbon (compact) Z A [g/mol] ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 6 (C) [12.0107 (8)] 2.265 78.0 0.26142 2.8697 -0.0178 2.3415 2.8680 0.12 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.116 7.116 7.772 × 10 -1 14.0 MeV 5.616 × 10 1 5.549 5.549 1.420 × 10 0 20.0 MeV 6.802 × 10 1 4.331 4.331 2.658 × 10 0 30.0 MeV 8.509 × 10 1 3.355 3.355 5.318 × 10 0 40.0 MeV 1.003 × 10 2 2.861 2.861 8.567 × 10 0 80.0 MeV 1.527 × 10 2 2.126 2.127 2.531 × 10 1 100. MeV 1.764 × 10 2 1.991 1.992 3.505 × 10 1 140. MeV 2.218 × 10 2 1.854 1.854 5.597 × 10 1 200. MeV 2.868 × 10 2 1.775 1.775 8.917 × 10 1 300. MeV 3.917 × 10 2 1.745 0.000 1.745 1.462 × 10 2 317. MeV 4.096 × 10 2 1.745 0.000 1.745 Minimum ionization 400. MeV 4.945 × 10 2 1.751 0.000 1.751 2.034 × 10 2 800. MeV 8.995 × 10 2 1.819 0.000 0.000 1.820 4.275 × 10 2 1.00 GeV 1.101 × 10 3 1.850 0.000 0.000 1.851 5.365 × 10

359

Table  

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

Muons in Lithium oxide Li 2 O ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.46952 2.013 73.6 0.08035 3.7878 -0.0511 2.5874 2.9340 0.00 T p Ionization Brems Pair prod Photonucl...

360

Table  

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

Muons in Lithium tetraborate Li 2 B 4 O 7 ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.48487 2.440 94.6 0.11075 3.4389 0.0737 2.6502 3.2093 0.00 T p Ionization Brems Pair...

Note: This page contains sample records for the topic "resource potential tables" 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

Table  

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

Muons in Lithium carbonate (Li 2 C-O 3 ) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.49720 2.110 87.9 0.09936 3.5417 0.0551 2.6598 3.2029 0.00 T p Ionization Brems Pair prod...

362

Table  

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

Muons in Lithium iodide (LiI) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.41939 3.494 485.1 0.23274 2.7146 0.0892 3.3702 6.2671 0.00 T p Ionization Brems Pair prod Photonucl...

363

Table  

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

Muons in Lithium amide (LiNH 2 ) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.52257 1.178 55.5 0.08740 3.7534 0.0198 2.5152 2.7961 0.00 T p Ionization Brems Pair prod...

364

Table  

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

Muons in Lithium Z A gmol gcm 3 I eV a k m s x 0 x 1 C 0 3 (Li) 6.941 (2) 0.534 40.0 0.95136 2.4993 0.1304 1.6397 3.1221 0.14 T p Ionization Brems Pair prod...

365

Table  

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

Muons in Lithium hydride (LiH) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.50321 0.820 36.5 0.90567 2.5849 -0.0988 1.4515 2.3580 0.00 T p Ionization Brems Pair prod...

366

Table  

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

Muons in Hydrogen gas (H 2 ) Z A gmol gcm 3 I eV a k m s x 0 x 1 C 0 1 (H) 1.00794 (7) 8.376 10 -5 19.2 0.14092 5.7273 1.8639 3.2718 9.5834 0.00 T p Ionization...

367

Table  

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

Muons in Hydrogen BC liquid DEG calc to check code Z A gmol gcm 3 I eV a k m s x 0 x 1 C 0 1 (H) 1.00794 (7) 6.000 10 -2 21.8 0.35807 3.0000 0.2000 2.0000...

368

Table  

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

Muons in Liquid hydrogen (H 2 ) Z A gmol gcm 3 I eV a k m s x 0 x 1 C 0 1 (H) 1.00794 (7) 7.080 10 -2 21.8 0.13483 5.6249 0.4400 1.8856 3.0977 0.00 T p...

369

Table  

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

b(E) 10 6 cm 2 g -1 for Sodium nitrate NaNO 3 ZA 0.49415 E GeV b brems b pair b nucl b tot 2. 0.3298 0.1482 0.4566 0.9346 5. 0.4470 0.3631 0.4840 1.2941 10. 0.5431...

370

Table  

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

E GeV b brems b pair b nucl b tot 2. 0.2843 0.1249 0.4706 0.8798 5. 0.3858 0.3088 0.4982 1.1927 10. 0.4697 0.4666 0.4832 1.4195 20. 0.5582 0.6382 0.4608 1.6572 50. 0.6786...

371

Table  

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

sucrose ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.55014 1.070 74.2 0.09143 3.4982 0.2187 2.7680 3.4216 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range...

372

Table  

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

5000. 6.1071 8.3929 0.3806 14.8806 10000. 6.2164 8.5045 0.3963 15.1172 20000. 6.2891 8.5773 0.4146 15.2810 50000. 6.3493 8.6318 0.4431 15.4243 100000. 6.3763 8.6544 0.4675 15.4982...

373

Table  

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

Muons in Liquid chlorine (Cl 2 ) Z A gmol gcm 3 I eV a k m s x 0 x 1 C 0 17 (Cl) 35.453 (2) 1.574 174.0 0.18024 3.0000 0.2000 3.0000 4.8776 0.00 T p Ionization...

374

Table  

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

Muons in Chlorine gas (Cl 2 ) Z A gmol gcm 3 I eV a k m s x 0 x 1 C 0 17 (Cl) 35.453 (2) 2.980 10 -3 174.0 0.19849 2.9702 1.5566 4.3005 11.1470 0.00 T p...

375

Table  

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

b(E) 10 6 cm 2 g -1 for Chlorine gas (Cl 2 ), Z 17, A 35.453(2) E GeV b brems b pair b nucl b tot 2. 0.5866 0.2765 0.4289 1.2920 5. 0.7980 0.6769 0.4568 1.9317 10....

376

Table  

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

b(E) 10 6 cm 2 g -1 for Liquid chlorine (Cl 2 ), Z 17, A 35.453(2) E GeV b brems b pair b nucl b tot 2. 0.5866 0.2765 0.4289 1.2920 5. 0.7980 0.6769 0.4568 1.9317 10....

377

Table  

U.S. Energy Information Administration (EIA)

Total LNG Exports 2,593 2,085 8,664 7,946 5,299 5,272 14,705 Total Exports 113,280 119,626 132,019 126,576 144,647 125,238 136,038 Average Price (dollars ...

378

Table  

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

2.3317 500. 0.8862 1.2710 0.4196 2.5768 1000. 0.9471 1.3640 0.4263 2.7374 2000. 0.9977 1.4297 0.4378 2.8652 5000. 1.0486 1.4879 0.4592 2.9957 10000. 1.0758 1.5153 0.4809...

379

Table  

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

4.4716 50. 2.2613 2.9815 0.3855 5.6282 100. 2.5384 3.5148 0.3768 6.4300 200. 2.7949 3.9977 0.3726 7.1653 500. 3.0885 4.4516 0.3726 7.9126 1000. 3.2692 4.6973 0.3785 8.3449 2000....

380

Table  

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

fluoride (CsF) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.42132 4.115 440.7 0.22052 2.7280 0.0084 3.3374 5.9046 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA...

Note: This page contains sample records for the topic "resource potential tables" 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

Table  

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

fluoride MgF 2 ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.48153 3.000 134.3 0.07934 3.6485 0.1369 2.8630 3.7105 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA...

382

Table  

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

fluoride (LiF) ZA 0.46262 E GeV b brems b pair b nucl b tot 2. 0.2703 0.1209 0.4631 0.8543 5. 0.3668 0.2972 0.4895 1.1536 10. 0.4464 0.4463 0.4751 1.3679 20. 0.5299 0.6083...

383

Table  

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

fluoride (CaF 2 ) ZA 0.49670 E GeV b brems b pair b nucl b tot 2. 0.5234 0.2436 0.4381 1.2051 5. 0.7116 0.5985 0.4659 1.7760 10. 0.8649 0.8837 0.4539 2.2026 20. 1.0236 1.1853...

384

Table  

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

fluoride (CaF 2 ) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.49670 3.180 166.0 0.06942 3.5263 0.0676 3.1683 4.0653 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA...

385

Table  

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

fluoride (BaF 2 ) ZA 0.42207 E GeV b brems b pair b nucl b tot 2. 1.1904 0.4473 0.3939 2.0317 5. 1.6414 1.3428 0.4200 3.4042 10. 2.0088 2.0396 0.4108 4.4591 20. 2.3862 2.7132...

386

Table  

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

fluoride CH 2 CHF 2 n ZA 0.49973 E GeV b brems b pair b nucl b tot 2. 0.2888 0.1285 0.4625 0.8800 5. 0.3917 0.3160 0.4897 1.1974 10. 0.4765 0.4748 0.4755 1.4269 20. 0.5656...

387

Table  

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

fluoride (LiF) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.46262 2.635 94.0 0.07593 3.7478 0.0171 2.7049 3.1667 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA...

388

Table  

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

fluoride MgF 2 ZA 0.48153 E GeV b brems b pair b nucl b tot 2. 0.3729 0.1703 0.4493 0.9925 5. 0.5058 0.4161 0.4767 1.3985 10. 0.6144 0.6183 0.4638 1.6966 20. 0.7276 0.8364...

389

Table  

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

fluoride (BaF 2 ) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.42207 4.893 375.9 0.15991 2.8867 -0.0099 3.3870 5.4116 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA...

390

Table  

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

fluoride (CsF) ZA 0.42132 E GeV b brems b pair b nucl b tot 2. 1.2915 0.4882 0.3881 2.1679 5. 1.7810 1.4610 0.4141 3.6561 10. 2.1794 2.2166 0.4053 4.8014 20. 2.5885 2.9458...

391

Tables.............................................................  

E-Print Network (OSTI)

The work described in this study was supported by the Assistant Secretary of Energy Efficiency and Renewable Energy,

Evan Jones; Joseph Eto

1997-01-01T23:59:59.000Z

392

Tables.............................................................  

E-Print Network (OSTI)

The work described in this study was funded by the Assistant Secretary of Energy Efficiency and Renewable Energy,

Charles Goldman; Willett Kempton Anita Eide; Maithili Iyer; Mindi Farber; Richard Scheer

1996-01-01T23:59:59.000Z

393

Table  

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

Total CSDA range MeVc MeV cm 2 g gcm 2 10.0 MeV 4.704 10 1 4.596 4.596 1.241 10 0 14.0 MeV 5.616 10 1 3.637 3.637 2.228 10 0 20.0 MeV 6.802 10 1 2.877...

394

Table  

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

1.011 10 1 40.0 MeV 1.003 10 2 1.601 1.602 1.596 10 1 80.0 MeV 1.527 10 2 1.241 1.241 4.515 10 1 100. MeV 1.764 10 2 1.178 1.179 6.173 10 1 140. MeV 2.218 ...

395

Table  

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

Methane (CH 4 ) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.62334 6.672 10 -4 41.7 0.09253 3.6257 1.6263 3.9716 9.5243 0.00 T p Ionization Brems Pair prod Photonucl Total...

396

Table  

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

Methane based) ZA 0.54993 E GeV b brems b pair b nucl b tot 2. 0.2587 0.1125 0.4738 0.8450 5. 0.3510 0.2787 0.5012 1.1309 10. 0.4276 0.4232 0.4859 1.3367 20. 0.5086 0.5806...

397

Table  

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

Methane based) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.54993 1.064 10 -3 61.2 0.09946 3.4708 1.6442 4.1399 9.9500 0.00 T p Ionization Brems Pair prod Photonucl Total...

398

Table  

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

Methane (CH 4 ) ZA 0.62334 E GeV b brems b pair b nucl b tot 2. 0.2088 0.0873 0.4904 0.7865 5. 0.2841 0.2205 0.5178 1.0224 10. 0.3477 0.3424 0.5009 1.1909 20. 0.4158 0.4754...

399

Table  

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

Ethanol (C 2 H 5 OH) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.56437 0.789 62.9 0.09878 3.4834 0.2218 2.7052 3.3699 0.00 T p Ionization Brems Pair prod Photonucl Total...

400

Table  

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

Ethanol (C 2 H 5 OH) ZA 0.56437 E GeV b brems b pair b nucl b tot 2. 0.2493 0.1077 0.4770 0.8341 5. 0.3385 0.2678 0.5044 1.1107 10. 0.4126 0.4080 0.4888 1.3095 20. 0.4912...

Note: This page contains sample records for the topic "resource potential tables" 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

Table  

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

b(E) 10 6 cm 2 g -1 for Compact bone (ICRU) ZA 0.53010 E GeV b brems b pair b nucl b tot 2. 0.3535 0.1593 0.4614 0.9742 5. 0.4801 0.3928 0.4889 1.3618 10. 0.5841 0.5875...

402

Table  

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

b(E) 10 6 cm 2 g -1 for Plutonium, Z 94, A 244.06420(4) E GeV b brems b pair b nucl b tot 2. 2.1316 0.2707 0.3572 2.7595 5. 2.9643 1.9434 0.3812 5.2888 10. 3.6451...

403

Table  

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

b(E) 10 6 cm 2 g -1 for Plutonium dioxide (PuO 2 ) ZA 0.40583 E GeV b brems b pair b nucl b tot 2. 1.9169 0.2552 0.3693 2.5414 5. 2.6644 1.7544 0.3937 4.8124 10. 3.2756...

404

Table  

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

Muons in Plutonium dioxide (PuO 2 ) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.40583 11.460 746.5 0.20594 2.6522 -0.2311 3.5554 5.9719 0.00 T p Ionization Brems Pair prod...

405

Table  

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

b(E) 10 6 cm 2 g -1 for Technetium, Z 43, A 97.90722(3) E GeV b brems b pair b nucl b tot 2. 1.2093 0.5181 0.3896 2.1169 5. 1.6623 1.4129 0.4163 3.4915 10. 2.0305...

406

Table  

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

Muons in Technetium Z A gmol gcm 3 I eV a k m s x 0 x 1 C 0 43 (Tc) 97.90722 (3) 11.500 428.0 0.16572 2.9738 0.0949 3.1253 4.7769 0.14 T p Ionization Brems Pair...

407

Table  

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

b(E) 10 6 cm 2 g -1 for Benzene C 6 H 6 ZA 0.53769 E GeV b brems b pair b nucl b tot 2. 0.2319 0.0995 0.4765 0.8079 5. 0.3146 0.2475 0.5035 1.0656 10. 0.3835 0.3777...

408

Table  

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

Muons in Benzene C 6 H 6 ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.53769 0.879 63.4 0.16519 3.2174 0.1710 2.5091 3.3269 0.00 T p Ionization Brems Pair prod Photonucl Total...

409

Table  

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

b(E) 10 6 cm 2 g -1 for Butane (C 4 H 10 ) ZA 0.59497 E GeV b brems b pair b nucl b tot 2. 0.2191 0.0928 0.4841 0.7961 5. 0.2977 0.2326 0.5114 1.0417 10. 0.3637 0.3582...

410

Table  

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

Muons in Butane (C 4 H 10 ) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.59497 2.489 10 -3 48.3 0.10852 3.4884 1.3792 3.7528 8.5651 0.00 T p Ionization Brems Pair prod...

411

Table  

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

Muons in Thorium Z A gmol gcm 3 I eV a k m s x 0 x 1 C 0 90 (Th) 232.03806 (2) 11.720 847.0 0.08655 3.2610 0.4202 3.7681 6.2473 0.14 T p Ionization Brems Pair...

412

Table  

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

b(E) 10 6 cm 2 g -1 for Thorium, Z 90, A 232.03806(2) E GeV b brems b pair b nucl b tot 2. 2.0665 0.3212 0.3589 2.7466 5. 2.8718 1.9386 0.3831 5.1934 10. 3.5299 3.1965...

413

Table  

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

Air (dry, 1 atm) ZA 0.49919 E GeV b brems b pair b nucl b tot 2. 0.2898 0.1282 0.4628 0.8808 5. 0.3927 0.3151 0.4901 1.1979 10. 0.4774 0.4735 0.4758 1.4267 20. 0.5663 0.6460...

414

Table  

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

Muons in Liquid propane (C 3 H 8 ) ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.58962 0.493 52.0 0.10329 3.5620 0.2564 2.6271 3.4162 0.00 T p Ionization Brems Pair prod...

415

Table  

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

b(E) 10 6 cm 2 g -1 for Liquid propane (C 3 H 8 ) ZA 0.58962 E GeV b brems b pair b nucl b tot 2. 0.2179 0.0921 0.4849 0.7949 5. 0.2961 0.2311 0.5122 1.0394 10. 0.3618...

416

Table  

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

b(E) 10 6 cm 2 g -1 for Propane (C 3 H 8 ) ZA 0.58962 E GeV b brems b pair b nucl b tot 2. 0.2179 0.0921 0.4849 0.7949 5. 0.2961 0.2311 0.5122 1.0394 10. 0.3618 0.3563...

417

Table  

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

b(E) 10 6 cm 2 g -1 for Tissue-equivalent gas (Propane based) ZA 0.55027 E GeV b brems b pair b nucl b tot 2. 0.2506 0.1085 0.4751 0.8342 5. 0.3400 0.2692 0.5024 1.1116...

418

Table  

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

b(E) 10 6 cm 2 g -1 for Rhenium, Z 75, A 186.207(1) E GeV b brems b pair b nucl b tot 2. 1.8307 0.4713 0.3667 2.6686 5. 2.5366 1.8861 0.3916 4.8143 10. 3.1125 2.9839...

419

Table  

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

Muons in Rhenium Z A gmol gcm 3 I eV a k m s x 0 x 1 C 0 75 (Re) 186.207 (1) 21.020 736.0 0.15184 2.8627 0.0559 3.4845 5.3445 0.08 T p Ionization Brems Pair prod...

420

Table  

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

b(E) 10 6 cm 2 g -1 for Carbon (graphite), Z 6, A 12.0107(8) E GeV b brems b pair b nucl b tot 2. 0.2422 0.1049 0.4703 0.8175 5. 0.3282 0.2595 0.4971 1.0848 10. 0.3994...

Note: This page contains sample records for the topic "resource potential tables" 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

Table  

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

b(E) 10 6 cm 2 g -1 for Carbon (amorphous), Z 6, A 12.0107(8) E GeV b brems b pair b nucl b tot 2. 0.2422 0.1049 0.4703 0.8175 5. 0.3282 0.2595 0.4971 1.0848 10. 0.3994...

422

Table  

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

b(E) 10 6 cm 2 g -1 for Carbon (compact), Z 6, A 12.0107(8) E GeV b brems b pair b nucl b tot 2. 0.2422 0.1049 0.4703 0.8175 5. 0.3282 0.2595 0.4971 1.0848 10. 0.3994...

423

Table  

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

b(E) 10 6 cm 2 g -1 for Carbon (gem diamond), Z 6, A 12.0107(8) E GeV b brems b pair b nucl b tot 2. 0.2422 0.1049 0.4703 0.8175 5. 0.3282 0.2595 0.4971 1.0848 10....

424

Table  

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

Muons in Element 118 Z A gmol gcm 3 I eV a k m s x 0 x 1 C 0 118 (Un) 294.215 (8) 1.200 10 -2 1242.0 -0.07035 3.0000 2.0204 -1.9972 13.8662 0.00 T p...

425

Table  

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

Muons Muons in Silicon dioxide (fused quartz) (SiO 2 ) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.49930 2.200 139.2 0.08408 3.5064 0.1500 3.0140 4.0560 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 6.591 6.591 8.438 × 10 -1 14.0 MeV 5.616 × 10 1 5.158 5.158 1.537 × 10 0 20.0 MeV 6.802 × 10 1 4.041 4.041 2.866 × 10 0 30.0 MeV 8.509 × 10 1 3.145 3.145 5.710 × 10 0 40.0 MeV 1.003 × 10 2 2.691 2.691 9.170 × 10 0 80.0 MeV 1.527 × 10 2 2.030 2.030 2.682 × 10 1 100. MeV 1.764 × 10 2 1.908 1.908 3.701 × 10 1 140. MeV 2.218 × 10 2 1.786 1.786 5.878 × 10 1 200. MeV 2.868 × 10 2 1.719 1.719 9.315 × 10 1 288. MeV 3.788 × 10 2 1.699 0.000 1.699 Minimum ionization 300. MeV 3.917 × 10 2 1.699 0.000 1.699 1.518 × 10 2 400. MeV 4.945 × 10 2 1.711 0.000 1.711 2.105 × 10 2 800. MeV 8.995 × 10 2 1.789 0.000 0.000 1.790 4.391 × 10 2 1.00 GeV 1.101 × 10 3 1.823 0.000 0.000 1.824 5.497

426

Table  

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

Muons Muons in Radon Z A [g/mol] ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 86 (Rn) [222.01758 (2)]9.066 × 10 -3 794.0 0.20798 2.7409 1.5368 4.9889 13.2839 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 3.782 3.782 1.535 × 10 0 14.0 MeV 5.616 × 10 1 3.018 3.018 2.730 × 10 0 20.0 MeV 6.802 × 10 1 2.405 2.405 4.980 × 10 0 30.0 MeV 8.509 × 10 1 1.902 1.902 9.715 × 10 0 40.0 MeV 1.003 × 10 2 1.644 1.644 1.540 × 10 1 80.0 MeV 1.527 × 10 2 1.267 1.267 4.394 × 10 1 100. MeV 1.764 × 10 2 1.201 1.201 6.019 × 10 1 140. MeV 2.218 × 10 2 1.140 1.140 9.452 × 10 1 200. MeV 2.868 × 10 2 1.116 1.117 1.479 × 10 2 216. MeV 3.039 × 10 2 1.116 1.116 Minimum ionization 300. MeV 3.917 × 10 2 1.127 0.000 0.000 1.128 2.372 × 10 2 400. MeV 4.945 × 10 2 1.154 0.000 0.000 1.154 3.249 × 10 2 800. MeV 8.995 × 10 2 1.258 0.001 0.000 1.260 6.559 × 10 2 1.00 GeV 1.101 × 10 3 1.300 0.001 0.000 1.302 8.119

427

Table  

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

Muons Muons in Solid carbon dioxide (dry ice; CO 2 ) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.49989 1.563 85.0 0.43387 3.0000 0.2000 2.0000 3.4513 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.057 7.057 7.841 × 10 -1 14.0 MeV 5.616 × 10 1 5.508 5.508 1.432 × 10 0 20.0 MeV 6.802 × 10 1 4.304 4.304 2.679 × 10 0 30.0 MeV 8.509 × 10 1 3.341 3.341 5.353 × 10 0 40.0 MeV 1.003 × 10 2 2.854 2.854 8.612 × 10 0 80.0 MeV 1.527 × 10 2 2.145 2.145 2.529 × 10 1 100. MeV 1.764 × 10 2 2.017 2.017 3.493 × 10 1 140. MeV 2.218 × 10 2 1.886 1.886 5.554 × 10 1 200. MeV 2.868 × 10 2 1.812 1.812 8.811 × 10 1 300. MeV 3.917 × 10 2 1.787 0.000 1.787 1.438 × 10 2 303. MeV 3.950 × 10 2 1.787 0.000 1.787 Minimum ionization 400. MeV 4.945 × 10 2 1.795 0.000 1.795 1.997 × 10 2 800. MeV 8.995 × 10 2 1.866 0.000 0.000 1.866 4.182 × 10 2 1.00 GeV 1.101 × 10 3 1.896 0.000 0.000 1.897 5.245 × 10

428

Trip Table ?????? #ykccmpk-#ykcfiol  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /ce18e28f19b8a620d092b2a6c9fc0e08/311af50ce0338abff3271747a78d2a6c.html ... Top page #ykccmpk:?Bc4XbewxcY #ykcdbka:?gHgq5mD6d2 #ykcdqeq ...

429

Biomass for Electricity Generation - Table 9  

U.S. Energy Information Administration (EIA)

Modeling and Analysis Papers> Biomass for Electricity Generation : Biomass for Electricity Generation. Table 9. Biomass-Fired Electricity Generation ...

430

Appendix B Metric and Thermal Conversion Tables  

U.S. Energy Information Administration (EIA)

2011 U.S. Energy Information Administration | Natural Gas Annual 193 Appendix B Metric and Thermal Conversion Tables

431

November/December 2011 Table of Contents  

Science Conference Proceedings (OSTI)

November/December 2011 Table of Contents Inform Magazine Inform Archives News 602 Letter from the president 603 Letter from

432

Projected Partner Funding Table: Wind Power | Department of Energy  

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

Projected Partner Funding Table: Wind Power Projected Partner Funding Table: Wind Power This is a table detailing projected partner funding for several wind power projects....

433

Action Codes Table | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Action Codes Table | National Nuclear Security Administration Action Codes Table | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Action Codes Table Home > About Us > Our Programs > Nuclear Security > Nuclear Materials Management & Safeguards System > NMMSS Information, Reports & Forms > Code Tables > Action Codes Table

434

Table of Contents Home ...................................................................................................... 2  

E-Print Network (OSTI)

/Graduate Programs . . . 44 Chemical Engineering . . . . . . . . . . . . . . . . . . . . . . 47 Chemistry fields related to uthe discovery and recovery of the Earth's resources, utheir conversion to materials the academic culture upon which all learning is founded. CSM offers the bachelor of science degree in Chemical

435

Energy Information Administration (EIA) - Supplement Tables - Supplemental  

Gasoline and Diesel Fuel Update (EIA)

6 6 Supplemental Tables to the Annual Energy Outlook 2006 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2006 (AEO2006) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2003 to 2030. Most of the tables were not published in the AEO2006, but contain regional and other more detailed projections underlying the AEO2006 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2006 Appendix tables A2 and A3, respectively. Forecasts for 2004-2006 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

436

Energy Information Administration (EIA) - Supplement Tables - Supplemental  

Gasoline and Diesel Fuel Update (EIA)

7 7 Supplemental Tables to the Annual Energy Outlook 2007 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2007 (AEO2007) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2005 to 2030. Most of the tables were not published in the AEO2007, but contain regional and other more detailed projections underlying the AEO2007 projections. The files containing these tables are in spreadsheet format. A total of one hundred and eighteen tables is presented. The data for tables 10 and 20 match those published in AEO2007 Appendix tables A2 and A3, respectively. Projections for 2006 and 2007 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term projections and are based on more current information than the AEO.

437

Description of Energy Intensity Tables (12)  

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

3. Description of Energy Intensity Data Tables 3. Description of Energy Intensity Data Tables There are 12 data tables used as references for this report. Specifically, these tables are categorized as tables 1 and 2 present unadjusted energy-intensity ratios for Offsite-Produced Energy and Total Inputs of Energy for 1985, 1988, 1991, and 1994; along with the percentage changes between 1985 and the three subsequent years (1988, 1991, and 1994) tables 3 and 4 present 1988, 1991, and 1994 energy-intensity ratios that have been adjusted to the mix of products shipped from manufacturing establishments in 1985 tables 5 and 6 present unadjusted energy-intensity ratios for Offsite-Produced Energy and Total Inputs of Energy for 1988, 1991, and 1994; along with the percentage changes between 1988 and the two subsequent

438

Sandia National Labs: PCNSC: IBA Table  

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

Home Home About Us Departments Radiation, Nano Materials, & Interface Sciences > Radiation & Solid Interactions > Nanomaterials Sciences > Surface & Interface Sciences Semiconductor & Optical Sciences Energy Sciences Small Science Cluster Business Office News Partnering Research Ion Beam Analysis (IBA) Periodic Table (HTML) IBA Table (HTML) | IBA Table (135KB GIF) | IBA Table (1.2MB PDF) | IBA Table (33MB TIF) | Heavy Ion Backscattering Spectrometry (HIBS) | Virtual Lab Tour (6MB) The purpose of this table is to quickly give the visitor to this site information on the sensitivity, depth of analysis and depth resolution of most of the modern ion beam analysis techniques in a single easy to use format: a periodic table. Note that you can click on each panel of this

439

The Potential of Plug-in Hybrid and Battery Electric Vehicles as Grid Resources: the Case of a Gas and Petroleum Oriented Elecricity Generation System  

E-Print Network (OSTI)

Ferdowsi, M. (2007). Plug-hybrid vehicles A vision for thepower: battery, hybrid and fuel cell vehicles as resources2010). Plug-in hybrid electric vehicles as regulating power

Greer, Mark R

2012-01-01T23:59:59.000Z

440

The Potential of Plug-in Hybrid and Battery Electric Vehicles as Grid Resources: the Case of a Gas and Petroleum Oriented Elecricity Generation System  

E-Print Network (OSTI)

2010). Plug-in hybrid electric vehicles as regulating powervalue of plug-in hybrid electric vehicles as grid resources.of using plug-in hybrid electric vehicle battery packs for

Greer, Mark R

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource potential tables" 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

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 8. Supplemental Gas Supplies by State, 2007 (Million Cubic Feet) Colorado ......................... 0 3 0 6,866 6,869 Delaware ........................ 0 5 0 0 5 Georgia........................... 0 2 0 0 2 Hawaii............................. 2,679 4 0 0 2,683 Illinois.............................. 0 11 0 0 11 Indiana............................ 0 81 0 554 635 Iowa ................................ 0 2 38 0 40 Kentucky......................... 0 124 0 0 124 Maryland ......................... 0 245 0 0 245 Massachusetts................ 0 15 0 0 15 Minnesota ....................... 0 54 0 0 54 Missouri .......................... 7 60 0 0 66 Nebraska ........................ 0 33 0 0 33 New Hampshire .............. 0 9 0 0 9 New Jersey ..................... 0 0 0 379 379 New York ........................

442

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 8. Supplemental Gas Supplies by State, 2008 (Million Cubic Feet) Colorado ......................... 0 2 0 6,256 6,258 Delaware ........................ 0 2 0 0 2 Georgia........................... 0 * 0 0 * Hawaii............................. 2,554 5 0 0 2,559 Illinois.............................. 0 15 0 0 15 Indiana............................ 0 30 0 0 30 Iowa ................................ 0 24 3 0 27 Kentucky......................... 0 15 0 0 15 Maryland ......................... 0 181 0 0 181 Massachusetts................ 0 13 0 0 13 Minnesota ....................... 0 46 0 0 46 Missouri .......................... * 6 0 0 6 Nebraska ........................ 0 28 0 0 28 New Hampshire .............. 0 44 0 0 44 New Jersey ..................... 0 0 0 489 489 New York ........................

443

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 8. Supplemental Gas Supplies by State, 2009 (Million Cubic Feet) Colorado ......................... 0 3 0 7,525 7,527 Connecticut..................... 0 * 0 0 * Delaware ........................ 0 2 0 0 2 Georgia........................... 0 0 52 * 52 Hawaii............................. 2,438 9 0 0 2,447 Illinois.............................. 0 20 0 0 20 Indiana............................ 0 * 0 0 * Iowa ................................ 0 3 0 0 3 Kentucky......................... 0 18 0 0 18 Maryland ......................... 0 170 0 0 170 Massachusetts................ 0 10 0 0 10 Minnesota ....................... 0 47 0 0 47 Missouri .......................... * 10 0 0 10 Nebraska ........................ 0 18 0 0 18 New Jersey ..................... 0 0 0 454 454 New York ........................

444

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 8. Supplemental Gas Supplies by State, 2010 (Million Cubic Feet) Colorado ......................... 0 4 0 5,144 5,148 Delaware ........................ 0 1 0 0 1 Georgia........................... 0 0 732 0 732 Hawaii............................. 2,465 6 0 0 2,472 Illinois.............................. 0 17 0 0 17 Indiana............................ 0 1 0 0 1 Iowa ................................ 0 2 0 0 2 Kentucky......................... 0 5 0 0 5 Louisiana ........................ 0 0 249 0 249 Maryland ......................... 0 115 0 0 115 Massachusetts................ 0 * 0 0 * Minnesota ....................... 0 12 0 0 12 Missouri .......................... * 18 0 0 18 Nebraska ........................ 0 12 0 0 12 New Jersey ..................... 0 0 0 457 457 New York ........................

445

Table-top job analysis  

SciTech Connect

The purpose of this Handbook is to establish general training program guidelines for training personnel in developing training for operation, maintenance, and technical support personnel at Department of Energy (DOE) nuclear facilities. TTJA is not the only method of job analysis; however, when conducted properly TTJA can be cost effective, efficient, and self-validating, and represents an effective method of defining job requirements. The table-top job analysis is suggested in the DOE Training Accreditation Program manuals as an acceptable alternative to traditional methods of analyzing job requirements. DOE 5480-20A strongly endorses and recommends it as the preferred method for analyzing jobs for positions addressed by the Order.

Not Available

1994-12-01T23:59:59.000Z

446

Hospitality resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

447

Healthcare resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

448

Congregation resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

449

Teacher Resource Center: Curricular Resources  

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

Curricular Resources Curricular Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center provides workshops and consultations on Mathematics and Science Curriculum development. Here are a list of resources for educators. See the 'Customized Workshops" link in the "Teacher's Lounge" for information about more workshops available through the TRC. Key Science Resources for Curriculum Planning Key Science Resources for Curriculum Planning

450

EIA - Annual Energy Outlook (AEO) 2013 Data Tables  

U.S. Energy Information Administration (EIA)

Iron and Steel Industries Energy Consumption XLS: Table 32. Aluminum Industry Energy Consumption XLS: Table 33. Metal Based Durables Energy ...

451

Table US8. Average Consumption by Fuels Used, 2005 Physical ...  

U.S. Energy Information Administration (EIA)

Wood (cords) Energy Information Administration 2005 Residential Energy Consumption Survey: Energy Consumption and Expenditures Tables. Table US8.

452

Microsoft Word - table_01.doc  

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

3 3 Table 1 Table 1. Summary of natural gas supply and disposition in the United States, 2008-2013 (billion cubic feet) Year and Month Gross Withdrawals Marketed Production NGPL Production a Dry Gas Production b Supplemental Gaseous Fuels c Net Imports Net Storage Withdrawals d Balancing Item e Consumption f 2008 Total 25,636 21,112 953 20,159 61 3,021 34 2 23,277 2009 Total 26,057 21,648 1,024 20,624 65 2,679 -355 -103 22,910 2010 Total 26,816 22,382 1,066 21,316 65 2,604 -13 115 24,087 2011 January 2,299 1,953 92 1,861 5 236 811 R -24 R 2,889 February 2,104 1,729 82 1,647 4 186 594 R 20 R 2,452 March 2,411 2,002 95 1,908 5 171 151 R -4 R 2,230 April 2,350 1,961 93 1,868 5 R 152 -216 R 17 R 1,825 May 2,411 2,031

453

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural gas production, transmission, and consumption, by state, 2012 (million cubic feet) U.S. Energy Information Administration | Natural Gas Annual 4 Table 2 Alabama 215,710 7,110 -162,223 617,883 0 -2,478 0 666,738 Alaska 351,259 21,470 22,663 0 -9,342 0 0 343,110 Arizona 117 0 -13,236 389,036 -43,838 0 0 332,079 Arkansas 1,146,168 424 -18,281 -831,755 0 -103 0 295,811 California 246,822 12,755 104,820 2,222,355 -109,787 48,071 0 2,403,385 Colorado 1,709,376 81,943 -107,940 -1,077,968 0 2,570 4,412 443,367 Connecticut 0 0 4,191 225,228 0 260 0 229,159 Delaware 0 0 21,035 80,692 0 51 * 101,676 District of Columbia 0 0 497 28,075 0 0 0 28,572 Florida 18,681 0 15,168 1,294,620 0 0 0 1,328,469

454

Microsoft Word - table_09.doc  

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

3 3 Table 9 Created on: 12/12/2013 2:08:24 PM Table 9. Underground natural gas storage - by season, 2011-2013 (volumes in billion cubic feet) Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Year, Season, and Month Base Gas Working Gas Total Volume Percent Injections Withdrawals Net Withdrawals a 2011 Refill Season April 4,304 1,788 6,092 -223 -11.1 312 100 -212 May 4,304 2,187 6,491 -233 -9.6 458 58 -399 June 4,302 2,530 6,831 -210 -7.7 421 80 -340 July 4,300 2,775 7,075 -190 -6.4 359 116 -244 August 4,300 3,019 7,319 -134 -4.2 370 126 -244 September 4,301 3,416 7,717 -92 -2.6 454 55

455

All Price Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

1) 1) June 2013 State Energy Price and Expenditure Estimates 1970 Through 2011 2011 Price and Expenditure Summary Tables Table E1. Primary Energy, Electricity, and Total Energy Price Estimates, 2011 (Dollars per Million Btu) State Primary Energy Electric Power Sector g,h Retail Electricity Total Energy g,i Coal Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f Alabama 3.09 5.66 26.37 22.77 25.54 27.12 13.18 19.42 25.90 0.61 3.01 8.75 2.56 27.08 19.85 Alaska 3.64 6.70 29.33 23.12 29.76 31.60 20.07 34.62 26.61 - 14.42 20.85 6.36 47.13 25.17 Arizona 1.99 7.07 27.73 22.84 31.95 26.97 17.00 17.23 26.71 0.75 6.31 10.79 2.16 28.46 25.23 Arkansas 1.93 6.94 26.37 22.45 26.66 27.35 17.35 33.22

456

Microsoft Word - table_13.doc  

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

U.S. Energy Information Administration | Natural Gas Monthly 31 Table 13 Created on: 12/12/2013 2:28:44 PM Table 13. Activities of underground natural gas storage operators, by state, September 2013 (volumes in million cubic feet) State Field Count Total Storage Capacity Working Gas Storage Capacity Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Base Gas Working Gas Total Volume Percent Injections Withdrawals Alabama 2 35,400 27,350 8,050 21,262 29,312 2,852 15.5 1,743 450 Alaska a 5 83,592 67,915 14,197 20,455 34,652 NA NA 1,981 30 Arkansas 2 21,853 12,178 9,648 3,372 13,020 -1,050 -23.7 204 0 California 14 599,711 374,296

457

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

4) 4) June 2007 State Energy Consumption Estimates 1960 Through 2004 2004 Consumption Summary Tables Table S1. Energy Consumption Estimates by Source and End-Use Sector, 2004 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Coal Natural Gas c Petroleum Nuclear Electric Power Hydro- electric Power d Biomass e Other f Net Interstate Flow of Electricity/Losses g Residential Commercial Industrial b Transportation Alabama 2,159.7 853.9 404.0 638.5 329.9 106.5 185.0 0.1 -358.2 393.7 270.2 1,001.1 494.7 Alaska 779.1 14.1 411.8 334.8 0.0 15.0 3.3 0.1 0.0 56.4 63.4 393.4 266.0 Arizona 1,436.6 425.4 354.9 562.8 293.1 69.9 8.7 3.6 -281.7 368.5 326.0 231.2 511.0 Arkansas 1,135.9 270.2 228.9 388.3 161.1 36.5 76.0 0.6 -25.7 218.3 154.7 473.9 288.9 California 8,364.6 68.9 2,474.2 3,787.8 315.6 342.2

458

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

9) 9) June 2011 State Energy Consumption Estimates 1960 Through 2009 2009 Consumption Summary Tables Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2009 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity/ Losses f Net Electricity Imports Residential Commercial Industrial b Transportation Coal Natural Gas c Petroleum d Total Alabama 1,906.8 631.0 473.9 583.9 1,688.8 415.4 272.9 -470.3 0.0 383.2 266.0 788.5 469.2 Alaska 630.4 14.5 344.0 255.7 614.1 0.0 16.3 0.0 (s) 53.4 61.0 325.4 190.6 Arizona 1,454.3 413.3 376.7 520.8 1,310.8 320.7 103.5 -279.9 -0.8 400.8 352.1 207.8 493.6 Arkansas 1,054.8 264.1 248.1 343.1 855.3 158.7 126.5 -85.7 0.0 226.3 167.0 372.5

459

Analysis of Hawaii Biomass Energy Resources for Distributed Energy Applications  

E-Print Network (OSTI)

Analysis of Hawaii Biomass Energy Resources for Distributed Energy Applications Prepared for State) concentrations on a unit energy basis for sugar cane varieties and biomass samples of Tables Table 1-A. Analyses of biomass materials found in the State of Hawaii

460

Annual resources report. [Glossary on technical terms  

DOE Green Energy (OSTI)

The report is separated into the following sections: acknowledgments; a table of contents; a list of tables and figures; a glossary; an introduction; an overview of the role of energy resources in New Mexico; separate sections on oil and gas, coal, electrical generation, uranium, and geothermal energy; a section on the geologic setting of oil and gas, coal, and uranium; an appendix of additional tables pertaining to oil and gas development; and a listing of selected references. The glossary is a brief listing of technical terms used in the report with simplified definitions for the reader's use. The overview contains highlights of data found in the report as well as comparisons of New Mexico's resources with those of other states and the nation. In general, each section covering a resource area describes reserves, production, prices, consumption, transportation, employment, and revenue statistics over the past ten or more years and projections to the year 2000.

Not Available

1982-01-01T23:59:59.000Z

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


461

oil and Gas Resources of the West Siberian Basin, Russia  

U.S. Energy Information Administration (EIA)

Energy Information Administration Oil and Gas Resources of the West Siberian Basin, Russia 139 Appendix D Field Summaries Tables 1D and 2D lists the fields of the West

462

Annual Energy Outlook 2007 - Low Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

4-2030) 4-2030) Annual Energy Outlook 2007 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel Low Price Case Tables (2004-2030) Table Title Formats Summary Low Price Case Tables Low Price Case Tables Table 1. Total Energy Supply and Disposition Summary Table 2. Energy Consumption by Sector and Source Table 3. Energy Prices by Sector and Source Table 4. Residential Sector Key Indicators and Consumption Table 5. Commercial Sector Indicators and Consumption Table 6. Industrial Sector Key Indicators and Consumption Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Table 8. Electricity Supply, Disposition, Prices, and Emissions Table 9. Electricity Generating Capacity Table 10. Electricity Trade Table 11. Petroleum Supply and Disposition Balance

463

Annual Energy Outlook 2007 - Low Economic Growth Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Low Macroeconomic Growth Case Tables (2004-2030) Low Macroeconomic Growth Case Tables (2004-2030) Annual Energy Outlook 2007 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel Low Economic Growth Case Tables (2004-2030) Table Title Formats Summary Low Economic Growth Case Tables Low Economic Growth Case Tables Table 1. Total Energy Supply and Disposition Summary Table 2. Energy Consumption by Sector and Source Table 3. Energy Prices by Sector and Source Table 4. Residential Sector Key Indicators and Consumption Table 5. Commercial Sector Indicators and Consumption Table 6. Industrial Sector Key Indicators and Consumption Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Table 8. Electricity Supply, Disposition, Prices, and Emissions Table 9. Electricity Generating Capacity

464

Wind Energy Resource Atlas of the Philippines  

DOE Green Energy (OSTI)

This report contains the results of a wind resource analysis and mapping study for the Philippine archipelago. The study's objective was to identify potential wind resource areas and quantify the value of those resources within those areas. The wind resource maps and other wind resource characteristic information will be used to identify prospective areas for wind-energy applications.

Elliott, D.; Schwartz, M.; George, R.; Haymes, S.; Heimiller, D.; Scott, G.; McCarthy, E.

2001-03-06T23:59:59.000Z

465

Environmental regulatory update table, March 1989  

Science Conference Proceedings (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

1989-04-01T23:59:59.000Z

466

Environmental Regulatory Update Table, December 1989  

Science Conference Proceedings (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlbert, L.M.; Langston, M.E. (Tennessee Univ., Knoxville, TN (USA)); Nikbakht, A.; Salk, M.S. (Oak Ridge National Lab., TN (USA))

1990-01-01T23:59:59.000Z

467

Environmental Regulatory Update Table, April 1989  

SciTech Connect

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

1989-05-01T23:59:59.000Z

468

Environmental Regulatory Update Table, September 1991  

SciTech Connect

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

1991-10-01T23:59:59.000Z

469

Microsoft Word - table_21.doc  

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

9 9 Table 21. Number of natural gas commercial consumers by type of service and state, 2011-2012 R Revised data. Note: Totals may not equal sum of components due to independent rounding. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Please see the cautionary note regarding the number of residential and commercial customers located on the second page of Appendix A of this report. Alabama R 67,561 135 R 67,696 67,099 135 67,234 Alaska R 12,724 303 R 13,027 13,073 61 13,134 Arizona 56,349 198 56,547 56,252 280 56,532 Arkansas 67,454 361 67,815 68,151 614 68,765

470

Microsoft Word - table_05.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 5. Number of Wells Producing by State and the Gulf of Mexico, December 31, 2003-2007 Alabama .......................................................... 5,157 5,526 5,523 6,227 6,591 Alaska.............................................................. 195 224 227 231 239 Arizona ............................................................ 9 6 6 7 7 Arkansas.......................................................... 7,606 3,460 3,462 R 3,814 4,773 California ......................................................... 1,249 1,272 1,356 1,451 1,540 Colorado .......................................................... 18,774 16,718 22,691 20,568 22,949 Gulf of Mexico.................................................. 3,039 2,781 2,123 R 2,419 2,552 Illinois...............................................................

471

Microsoft Word - table_09.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Table 9. Summary of U.S. Natural Gas Imports and Exports, 2003-2007 Imports Volume (million cubic feet) Pipeline Canada a .................................................... 3,437,230 3,606,543 3,700,454 3,589,995 3,782,708 Mexico ...................................................... 0 0 9,320 12,749 54,062 Total Pipeline Imports............................. 3,437,230 3,606,543 3,709,774 3,602,744 3,836,770 LNG Algeria....................................................... 53,423 120,343 97,157 17,449 77,299 Australia.................................................... 0 14,990 0 0 0 Egypt......................................................... 0 0 72,540 119,528 114,580 Equatorial Guinea .....................................

472

Microsoft Word - table_21.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Table 21. Number of Natural Gas Industrial Consumers by Type of Service and State, 2007-2008 Alabama ...................... 2,409 295 2,704 2,476 281 2,757 Alaska.......................... 7 4 11 2 4 6 Arizona ........................ 296 99 395 285 98 383 Arkansas...................... 637 418 1,055 648 456 1,104 California ..................... 35,814 3,320 39,134 36,124 3,533 39,657 Colorado ...................... 298 4,294 4,592 341 4,475 4,816 Connecticut.................. 2,472 845 3,317 2,386 810 3,196 Delaware ..................... 125 60 185 96 69 165 Florida.......................... 156 311 467 161 288 449 Georgia........................ R 1,013 1,900 R 2,913 1,003 1,887 2,890 Hawaii.......................... 27 0 27 27 0 27 Idaho............................ 109 79 188 108 91 199 Illinois...........................

473

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2006 Alabama .................................. 287,278 14,736 21,065 54,529 Alaska...................................... 2,665,742 20,993 24,638 93,346 Arkansas.................................. 13,702 166 212 734 California ................................. 223,580 11,267 14,056 46,641 Colorado .................................. 751,036 26,111 36,317 97,697 Florida...................................... 3,972 357 485 1,416 Illinois....................................... 242 37 47 128 Kansas..................................... 453,111 21,509 30,726 83,137 Kentucky.................................. 39,559 1,666 2,252 6,763 Louisiana ................................. 2,511,802 73,551 105,236

474

Microsoft Word - table_06.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 6. Wellhead Value and Marketed Production of Natural Gas by State, 2005-2009 2005 Total ............................ 15,425,867 -- 7.33 18,927,095 138,750,746 2006 Total ............................ 15,981,421 -- 6.39 19,409,674 124,074,399 2007 Total ............................ 16,335,710 -- 6.25 20,196,346 126,164,553 2008 Total ............................ R 18,305,411 -- R 7.97 R 21,112,053 R 168,342,230 2009 Total ............................ 18,763,726 -- 3.67 21,604,158 79,188,096 Alabama ............................... 225,666 975,789 4.32 236,029 1,020,599 Alaska................................... 397,077 1,163,555 2.93 397,077 1,163,554 Arizona ................................. 695 2,214 3.19 712 2,269 Arkansas............................... 680,613 2,332,956 3.43

475

Microsoft Word - table_21.doc  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table 21. Number of natural gas commercial consumers by type of service and state, 2010-2011 R Revised data. Note: Totals may not equal sum of components due to independent rounding. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Please see the cautionary note regarding the number of residential and commercial customers located on the second page of Appendix A of this report. Alabama R 68,017 146 R 68,163 67,522 135 67,657 Alaska 12,673 325 12,998 12,721 303 13,024 Arizona 56,510 166 56,676 56,349 198 56,547 Arkansas 67,676 311 67,987 67,454 361 67,815 California 399,290 40,282

476

Microsoft Word - table_06.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 6. Wellhead Value and Marketed Production of Natural Gas by State, 2006-2010 2006 Total ............................ 15,981,421 -- 6.39 19,409,674 124,074,399 2007 Total ............................ 16,335,710 -- 6.25 20,196,346 126,164,553 2008 Total ............................ 18,305,411 -- 7.97 21,112,053 168,342,230 2009 Total ............................ 18,763,726 -- 3.67 R 21,647,936 R 79,348,561 2010 Total ............................ 19,262,198 -- 4.48 22,402,141 100,272,654 Alabama ............................... 212,769 949,340 4.46 222,932 994,688 Alaska................................... 316,546 1,002,566 3.17 374,226 1,185,249 Arizona ................................. 165 676 4.11 183 753 Arkansas............................... 936,600 3,594,843 3.84

477

Microsoft Word - table_10.doc  

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

4 4 Created on: 12/12/2013 2:09:15 PM Table 10. Underground natural gas storage - salt cavern storage fields, 2008-2013 (volumes in billion cubic feet) Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Year and Month Base Gas Working Gas Total Volume Percent Injections Withdrawals Net Withdrawals a 2008 Total b -- -- -- -- -- 440 398 -42 2009 Total b -- -- -- -- -- 459 403 -56 2010 Total b -- -- -- -- -- 511 452 -58 2011 January 137 174 311 65 59.3 23 69 46 February 137 125 262 48 62.5 30 80 49 March 137 151 288 39 34.8 51 25 -25 April 140 172 312 17 11.2 42 21 -22 May 140 211 352

478

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Table 8. Supplemental Gas Supplies by State, 2005 (Million Cubic Feet) Colorado ...................... 0 2 0 0 5,283 5,285 Connecticut.................. 0 273 0 0 0 273 Delaware ..................... 0 * 0 0 0 * Georgia........................ 0 * 0 0 0 * Hawaii.......................... 2,593 14 0 0 0 2,606 Illinois........................... 0 11 0 4 0 15 Indiana......................... 0 30 0 0 1,958 1,988 Iowa ............................. 0 2 0 30 0 31 Kentucky...................... 0 15 0 0 0 15 Maryland ...................... 0 382 0 0 0 382 Massachusetts............. 0 46 0 0 0 46 Minnesota .................... 0 154 0 0 0 154 Missouri ....................... 0 15 0 0 0 15 Nebraska ..................... 0 16 0 * 0 16 New Hampshire ........... 0 84 0 0 0 84 New Jersey .................. 0 0 0 0 435 435 New York

479

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

17 17 Table C12. Total Energy Consumption, Gross Domestic Product (GDP), Energy Consumption per Real Dollar of GDP, Ranked by State, 2011 Rank Total Energy Consumption Gross Domestic Product (GDP) Energy Consumption per Real Dollar of GDP State Trillion Btu State Billion Chained (2005) Dollars State Thousand Btu per Chained (2005) Dollar 1 Texas 12,206.6 California 1,735.4 Louisiana 19.7 2 California 7,858.4 Texas 1,149.9 Wyoming 17.5 3 Florida 4,217.1 New York 1,016.4 North Dakota 15.4 4 Louisiana 4,055.3 Florida 661.1 Alaska 14.3 5 Illinois 3,977.8 Illinois 582.1 Mississippi 13.8 6 Ohio 3,827.6 Pennsylvania 500.4 Kentucky 13.5

480

Microsoft Word - table_06.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 6. Wellhead Value and Marketed Production of Natural Gas, 2003-2007, and by State, 2007 2003 Total ............................ 14,589,545 -- 4.88 19,974,360 97,555,375 2004 Total ............................ 15,223,749 -- 5.46 19,517,491 106,521,974 2005 Total ............................ 15,425,867 -- 7.33 18,927,095 138,750,746 2006 Total ............................ R 15,981,421 -- R 6.39 R 19,409,674 R 124,074,399 2007 Total ............................ 16,031,199 -- 6.37 20,019,321 127,530,680 Alabama ............................... 259,062 1,926,374 7.44 270,407 2,010,736 Alaska................................... 368,344 2,072,647 5.63 433,485 2,439,193 Arizona ................................. 634 3,791 5.98 655 3,913 Arkansas...............................

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481

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2010 Alabama .................................. 242,444 13,065 19,059 47,741 Alaska...................................... 2,731,803 17,798 20,835 79,355 Arkansas.................................. 9,599 160 213 692 California ................................. 204,327 10,400 13,244 42,509 Colorado .................................. 1,434,003 57,924 82,637 209,191 Kansas..................................... 341,778 18,424 26,251 70,425 Kentucky.................................. 66,579 3,317 4,576 13,311 Louisiana ................................. 2,207,760 71,231 102,448 262,178 Michigan .................................. 23,449 2,207 2,943 8,272 Mississippi ...............................

482

Exhibit C Table of Contents  

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

Exhibit C Schedules and Lists Exhibit C Schedules and Lists Dated 5-20-13 Subcontract No. 241314 Page 1 of 5 EXHIBIT "C" SCHEDULES AND LISTS TABLE OF CONTENTS Form Title A Schedule of Quantities and Prices B Milestone and Payment Schedule C Lower-Tier Subcontractor and Vendor List Exhibit C Schedules and Lists Dated 5-20-13 Subcontract No. 241314 Page 2 of 5 EXHIBIT "C" FORM A SCHEDULE OF QUANTITIES AND PRICES NOTE: This Exhibit "C" Form A is part of the model subcontract for Trinity and is provided to Offerors for informational purposes only. It is not intended that this form be returned with the Offeror's proposal. 1.0 WORK TO BE PERFORMED Work shall be performed strictly in accordance with requirements of the Subcontract

483

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2005 Alabama .................................. 255,157 9,748 13,759 37,048 Alaska...................................... 3,089,229 23,700 27,956 105,449 Arkansas.................................. 16,756 177 231 786 California ................................. 226,230 11,101 13,748 45,926 Colorado .................................. 730,948 25,603 34,782 95,881 Florida...................................... 3,584 359 495 1,400 Illinois....................................... 280 37 46 129 Kansas..................................... 476,656 22,165 31,521 85,737 Kentucky.................................. 38,792 1,411 1,716 5,725 Louisiana ................................. 2,527,636 73,035 103,381

484

Microsoft Word - table_05.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 5. Number of Producing Gas Wells by State and the Gulf of Mexico, December 31, 2006-2010 Alabama .......................................................... 6,227 6,591 6,860 6,913 7,026 Alaska.............................................................. 231 239 261 261 269 Arizona ............................................................ 7 7 6 6 5 Arkansas.......................................................... 3,814 4,773 5,592 6,314 7,397 California ......................................................... 1,451 1,540 1,645 1,643 1,580 Colorado .......................................................... 20,568 22,949 25,716 27,021 28,813 Gulf of Mexico.................................................. 2,419 2,552 1,527 1,984 1,852 Illinois...............................................................

485

Microsoft Word - table_06.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 6. Wellhead Value and Marketed Production of Natural Gas, 2004-2008, and by State, 2008 2004 Total ............................ 15,223,749 -- 5.46 19,517,491 106,521,974 2005 Total ............................ 15,425,867 -- 7.33 18,927,095 138,750,746 2006 Total ............................ 15,981,421 -- 6.39 19,409,674 124,074,399 2007 Total ............................ R 16,335,710 -- R 6.25 R 20,196,346 R 126,164,553 2008 Total ............................ 18,424,440 -- 7.96 21,239,516 169,038,089 Alabama ............................... 246,747 2,382,188 9.65 257,884 2,489,704 Alaska................................... 337,359 2,493,128 7.39 398,442 2,944,546 Arizona ................................. 503 3,568 7.09 523 3,710 Arkansas...............................

486

Microsoft Word - table_21.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Table 21. Number of Natural Gas Industrial Consumers by Type of Service and State, 2008-2009 Alabama ...................... 2,476 281 2,757 2,789 271 3,060 Alaska.......................... 2 4 6 2 1 3 Arizona ........................ 285 98 383 274 116 390 Arkansas...................... 648 456 1,104 582 443 1,025 California ..................... 36,124 R 3,467 R 39,591 35,126 3,762 38,888 Colorado ...................... 341 4,475 4,816 297 4,787 5,084 Connecticut.................. 2,386 810 3,196 2,228 910 3,138 Delaware ..................... 96 69 165 39 73 112 Florida.......................... 161 288 449 123 484 607 Georgia........................ 1,003 1,887 2,890 956 1,298 2,254 Hawaii.......................... 27 0 27 25 0 25 Idaho............................ 108 91 199 109 78 187 Illinois...........................

487

Microsoft Word - table_21.doc  

Gasoline and Diesel Fuel Update (EIA)

8 8 Table 21. Number of Natural Gas Industrial Consumers by Type of Service and State, 2004-2005 Alabama ...................... 2,495 R 304 R 2,799 2,487 299 2,786 Alaska.......................... 6 4 10 7 5 12 Arizona ........................ 328 86 414 319 106 425 Arkansas...................... 782 R 441 R 1,223 671 449 1,120 California ..................... 39,426 2,061 41,487 38,150 2,076 40,226 Colorado ...................... 393 3,782 4,175 364 3,954 4,318 Connecticut.................. 2,625 845 3,470 2,618 819 3,437 Delaware ..................... 134 52 186 124 55 179 Florida.......................... R 174 224 R 398 159 273 432 Georgia........................ R 993 2,168 R 3,161 854 2,599 3,453 Hawaii.......................... 29 0 29 28 0 28 Idaho............................ 117 79 196 116 79 195

488

Microsoft Word - table_05.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Table 5. Number of Wells Producing Gas and Gas Condensate by State and the Gulf of Mexico, December 31, 2001-2005 Alabama .......................................................... 4,597 4,803 5,157 5,526 5,523 Alaska.............................................................. 170 165 195 224 227 Arizona ............................................................ 8 7 9 6 6 Arkansas.......................................................... 4,825 6,755 7,606 3,460 2,878 California ......................................................... 1,244 1,232 1,249 1,272 1,356 Colorado .......................................................... 22,117 23,554 18,774 16,718 22,691 Gulf of Mexico.................................................. 3,271 3,245 3,039 2,781 2,123 Illinois...............................................................

489

EM International Program Action Table  

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

EM INTERNATIONAL COOPERATIVE PROGRAM] October, 2012 EM INTERNATIONAL COOPERATIVE PROGRAM] October, 2012 E M I n t e r n a t i o n a l P r o g r a m s Page 1 ACTION TABLE Subject Lead Office Engaging Country Meeting Location Purpose Status Date of Event 3 rd US/German Workshop on Salt Repository Research, Design and Operations N. Buschman, EM-22 Germany Albuquerque & Carlsbad, NM Continue collaboration with Germans on salt repository research, design and operations. Draft agenda prepared. October 8-12, 2012 International Framework for Nuclear Energy Cooperation (IFNEC) Ministerial R. Elmetti, EM- 2.1 Multilateral Marrakech, Morocco To support the development of nuclear energy infrastructure globally through workforce training, information sharing, and approaches related to the safe, secure and responsible use of

490

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2009 Alabama .................................. 248,232 11,667 17,232 42,984 Alaska...................................... 2,830,034 19,542 22,925 86,767 Arkansas.................................. 2,352 125 168 541 California ................................. 198,213 11,042 13,722 45,669 Colorado .................................. 1,233,260 47,705 67,607 174,337 Illinois....................................... 164 24 31 84 Kansas..................................... 370,670 18,863 26,948 72,922 Kentucky.................................. 60,167 2,469 3,270 9,982 Louisiana ................................. 2,175,026 67,067 95,359 250,586 Michigan .................................. 23,819 2,409

491

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 8. Supplemental Gas Supplies by State, 2006 (Million Cubic Feet) Colorado ...................... 0 11 0 0 6,138 6,149 Connecticut.................. 0 91 0 0 0 91 Delaware ..................... 0 * 0 0 0 * Georgia........................ 0 3 0 0 0 3 Hawaii.......................... 2,610 3 0 0 0 2,613 Illinois........................... 0 13 0 0 0 13 Indiana......................... 0 2 0 0 1,640 1,642 Iowa ............................. 0 * 0 0 46 46 Kentucky...................... 0 3 0 0 0 3 Maryland ...................... 0 41 0 0 0 41 Massachusetts............. 0 51 0 0 0 51 Minnesota .................... 0 13 0 0 0 13 Missouri ....................... 0 78 0 0 0 78 Nebraska ..................... 0 19 0 0 0 19 New Hampshire ........... 0 92 0 0 0 92 New Jersey .................. 0 0 0 0 175 175 New York .....................

492

Microsoft Word - table_09.doc  

Gasoline and Diesel Fuel Update (EIA)

20 20 Table 9. Summary of U.S. Natural Gas Imports and Exports, 2004-2008 Imports Volume (million cubic feet) Pipeline Canada a .................................................... 3,606,543 3,700,454 3,589,995 3,782,708 3,589,221 Mexico ...................................................... 0 9,320 12,749 54,062 43,314 Total Pipeline Imports............................. 3,606,543 3,709,774 3,602,744 3,836,770 3,632,535 LNG Algeria....................................................... 120,343 97,157 17,449 77,299 0 Australia.................................................... 14,990 0 0 0 0 Egypt......................................................... 0 72,540 119,528 114,580 54,839 Equatorial Guinea .....................................

493

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2007 Alabama .................................. 257,443 13,381 19,831 48,922 Alaska...................................... 2,965,956 22,419 26,332 99,472 Arkansas.................................. 11,532 126 162 552 California ................................. 206,239 11,388 13,521 47,045 Colorado .................................. 888,705 27,447 38,180 102,563 Florida...................................... 2,422 103 132 423 Illinois....................................... 235 38 48 131 Kansas..................................... 391,022 19,600 28,063 74,941 Kentucky.................................. 38,158 1,455 1,957 5,917 Louisiana ................................. 2,857,443 77,905 110,745

494

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

6 6 State Energy Data 2011: Consumption Table C11. Energy Consumption by Source, Ranked by State, 2011 Rank Coal Natural Gas a Petroleum b Retail Electricity Sales State Trillion Btu State Trillion Btu State Trillion Btu State Trillion Btu 1 Texas 1,695.2 Texas 3,756.9 Texas 5,934.3 Texas 1,283.1 2 Indiana 1,333.4 California 2,196.6 California 3,511.4 California 893.7 3 Ohio 1,222.6 Louisiana 1,502.9 Louisiana 1,925.7 Florida 768.0 4 Pennsylvania 1,213.0 New York 1,246.9 Florida 1,680.3 Ohio 528.0 5 Illinois 1,052.2 Florida 1,236.6 New York 1,304.0 Pennsylvania 507.6 6 Kentucky 1,010.6 Pennsylvania 998.6 Pennsylvania 1,255.6 New York 491.5

495

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2008 Alabama .................................. 253,028 11,753 17,222 43,191 Alaska...................................... 2,901,760 20,779 24,337 92,305 Arkansas.................................. 6,531 103 139 446 California ................................. 195,272 11,179 13,972 46,176 Colorado .................................. 1,029,641 37,804 53,590 139,332 Florida...................................... 300 16 22 65 Illinois....................................... 233 33 42 115 Kansas..................................... 397,587 19,856 28,302 76,021 Kentucky.................................. 58,899 1,783 2,401 7,233 Louisiana ................................. 2,208,920 66,369 94,785 245,631

496

Microsoft Word - table_09.doc  

Gasoline and Diesel Fuel Update (EIA)

8 8 Table 9. Summary of U.S. Natural Gas Imports and Exports, 2002-2006 Imports Volume (million cubic feet) Pipeline Canada a .................................................... 3,784,978 3,437,230 3,606,543 3,700,454 3,589,995 Mexico ...................................................... 1,755 0 0 9,320 12,749 Total Pipeline Imports............................. 3,786,733 3,437,230 3,606,543 3,709,774 3,602,744 LNG Algeria....................................................... 26,584 53,423 120,343 97,157 17,449 Australia.................................................... 0 0 14,990 0 0 Brunei ....................................................... 2,401 0 0 0 0 Egypt.........................................................

497

Microsoft Word - table_09.doc  

Gasoline and Diesel Fuel Update (EIA)

8 8 Table 9. Summary of U.S. Natural Gas Imports and Exports, 2001-2005 Imports Volume (million cubic feet) Pipeline Canada a .................................................... 3,728,537 3,784,978 3,437,230 3,606,543 3,700,454 Mexico ...................................................... 10,276 1,755 0 0 9,320 Total Pipeline Imports............................. 3,738,814 3,786,733 3,437,230 3,606,543 3,709,774 LNG Algeria....................................................... 64,945 26,584 53,423 120,343 97,157 Australia.................................................... 2,394 0 0 14,990 0 Brunei ....................................................... 0 2,401 0 0 0 Egypt.........................................................

498

Microsoft Word - table_05.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 5. Number of Wells Producing Gas and Gas Condensate by State and the Gulf of Mexico, December 31, 2002-2006 Alabama .......................................................... 4,803 5,157 5,526 5,523 6,227 Alaska.............................................................. 165 195 224 227 231 Arizona ............................................................ 7 9 6 6 7 Arkansas.......................................................... 6,755 7,606 3,460 R 3,462 3,811 California ......................................................... 1,232 1,249 1,272 1,356 1,451 Colorado .......................................................... 23,554 18,774 16,718 22,691 20,568 Gulf of Mexico.................................................. 3,245 3,039 2,781 2,123 1,946 Illinois...............................................................

499

Microsoft Word - table_07.doc  

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

7 7 Table 7. Supplemental gas supplies by state, 2012 (million cubic feet) Colorado 0 99 0 4,313 4,412 Georgia 0 0 660 0 660 Hawaii 2,491 20 0 0 2,510 Illinois 0 1 0 0 1 Indiana 0 1 0 0 1 Kentucky 0 1 0 0 1 Louisiana 0 0 553 0 553 Maryland 0 116 0 0 116 Minnesota 0 9 0 0 9 Missouri * 0 0 0 * Nebraska 0 4 0 0 4 New Jersey 0 0 0 139 139 North Dakota 52,541 0 0 0 52,541 Ohio 0 6 360 0 366 Pennsylvania 0 2 0 0 2 Vermont 0 3 0 0 3 Virginia 0 48 0 0 48 Total 55,032 309 1,573 4,452 61,366 State Synthetic Natural Gas Propane-Air Biomass Gas Other Total * Volume is less than 500,000 cubic feet.

500

OpenEI - offshore resource  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm8570 en Offshore Wind Resource http:en.openei.orgdatasetsnode921

Global Wind Potential Supply Curves by Country, Class, and...