National Library of Energy BETA

Sample records for wet corn milling

  1. Energy efficiency improvement and cost saving opportunities for the Corn Wet Milling Industry: An ENERGY STAR Guide for Energy and Plant Managers

    SciTech Connect (OSTI)

    Galitsky, Christina; Worrell, Ernst; Ruth, Michael

    2003-07-01

    Corn wet milling is the most energy intensive industry within the food and kindred products group (SIC 20), using 15 percent of the energy in the entire food industry. After corn, energy is the second largest operating cost for corn wet millers in the United States. A typical corn wet milling plant in the United States spends approximately $20 to $30 million per year on energy, making energy efficiency improvement an important way to reduce costs and increase predictable earnings, especially in times of high energy-price volatility. This report shows energy efficiency opportunities available for wet corn millers. It begins with descriptions of the trends, structure and production of the corn wet milling industry and the energy used in the milling and refining process. Specific primary energy savings for each energy efficiency measure based on case studies of plants and references to technical literature are provided. If available, typical payback periods are also listed. The report draws upon the experiences of corn, wheat and other starch processing plants worldwide for energy efficiency measures. The findings suggest that given available resources and technology, there are opportunities to reduce energy consumption cost-effectively in the corn wet milling industry while maintaining the quality of the products manufactured. Further research on the economics of the measures, as well as the applicability of these to different wet milling practices, is needed to assess the feasibility of implementation of selected technologies at individual plants.

  2. Development of a Wet Logistics System for Bulk Corn Stover

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

    1000: Development of a Wet Logistics System for Bulk Corn Stover March 25, 2015 Lynn M. Wendt, William A. Smith, Austin Murphy, and Ian J. Bonner Idaho National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information Technology Area Review: Feedstock Supply and Logistics 2 | Bioenergy Technologies Office Overall Project Goal Project Objective * Design a high-moisture, bulk feedstock logistics system that - Reduces the risk of catastrophic

  3. 311221," Wet Corn Milling",0,0,"X",0

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

    3 Relative Standard Errors for Table 11.3;" " Unit: Percents." " "," ",,,"Renewable Energy" " "," ",,,"(excluding Wood" "NAICS"," ","Total Onsite",,"and" "Code(a)","Subsector and Industry","Generation","Cogeneration(b)","Other Biomass)(c)","Other(d)" ,,"Total United States" 311,"Food",2.8,1.1,86.8,37.8

  4. 311221," Wet Corn Milling",0,0,0,0,0

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

    1.1 Relative Standard Errors for Table 11.1;" " Unit: Percents." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total

  5. The effects of physical and chemical preprocessing on the flowability of corn stover

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Crawford, Nathan C.; Nagle, Nick; Sievers, David A.; Stickel, Jonathan J.

    2016-12-20

    Continuous and reliable feeding of biomass is essential for successful biofuel production. However, the challenges associated with biomass solids handling are commonly overlooked. In this study, we examine the effects of preprocessing (particle size reduction, moisture content, chemical additives, etc.) on the flow properties of corn stover. Compressibility, flow properties (interparticle friction, cohesion, unconfined yield stress, etc.), and wall friction were examined for five corn stover samples: ground, milled (dry and wet), acid impregnated, and deacetylated. The ground corn stover was found to be the least compressible and most flowable material. The water and acid impregnated stovers had similar compressibilities.more » Yet, the wet corn stover was less flowable than the acid impregnated sample, which displayed a flow index equivalent to the dry, milled corn stover. The deacetylated stover, on the other hand, was the most compressible and least flowable examined material. However, all of the tested stover samples had internal friction angles >30°, which could present additional feeding and handling challenges. All of the ''wetted'' materials (water, acid, and deacetylated) displayed reduced flowabilities (excluding the acid impregnated sample), and enhanced compressibilities and wall friction angles, indicating the potential for added handling issues; which was corroborated via theoretical hopper design calculations. All of the ''wetted'' corn stovers require larger theoretical hopper outlet diameters and steeper hopper walls than the examined ''dry'' stovers.« less

  6. Update of distillers grains displacement ratios for corn ethanol life-cycle analysis.

    SciTech Connect (OSTI)

    Arora, S.; Wu, M.; Wang, M.; Energy Systems

    2011-02-01

    Production of corn-based ethanol (either by wet milling or by dry milling) yields the following coproducts: distillers grains with solubles (DGS), corn gluten meal (CGM), corn gluten feed (CGF), and corn oil. Of these coproducts, all except corn oil can replace conventional animal feeds, such as corn, soybean meal, and urea. Displacement ratios of corn-ethanol coproducts including DGS, CGM, and CGF were last updated in 1998 at a workshop at Argonne National Laboratory on the basis of input from a group of experts on animal feeds, including Prof. Klopfenstein (University of Nebraska, Lincoln), Prof. Berger (University of Illinois, Urbana-Champaign), Mr. Madson (Rapheal Katzen International Associates, Inc.), and Prof. Trenkle (Iowa State University) (Wang 1999). Table 1 presents current dry milling coproduct displacement ratios being used in the GREET model. The current effort focuses on updating displacement ratios of dry milling corn-ethanol coproducts used in the animal feed industry. Because of the increased availability and use of these coproducts as animal feeds, more information is available on how these coproducts replace conventional animal feeds. To glean this information, it is also important to understand how industry selects feed. Because of the wide variety of available feeds, animal nutritionists use commercial software (such as Brill Formulation{trademark}) for feed formulation. The software recommends feed for the animal on the basis of the nutritional characteristics, availability, and price of various animal feeds, as well as on the nutritional requirements of the animal (Corn Refiners Association 2006). Therefore, feed formulation considers both the economic and the nutritional characteristics of feed products.

  7. Greenhouse gases in the corn-to-fuel ethanol pathway.

    SciTech Connect (OSTI)

    Wang, M. Q.

    1998-06-18

    Argonne National Laboratory (ANL) has applied its Greenhouse gas, Regulated Emissions and Energy in Transportation (GREET) full-fuel-cycle analysis model to examine greenhouse gas (GHG) emissions of corn-feedstock ethanol, given present and near-future production technology and practice. On the basis of updated information appropriate to corn farming and processing operations in the four principal corn- and ethanol-producing states (Illinois, Iowa, Minnesota, and Nebraska), the model was used to estimate energy requirements and GHG emissions of corn farming; the manufacture, transportation to farms, and field application of fertilizer and pesticide; transportation of harvested corn to ethanol plants; nitrous oxide emissions from cultivated cornfields; ethanol production in current average and future technology wet and dry mills; and operation of cars and light trucks using ethanol fuels. For all cases examined on the basis of mass emissions per travel mile, the corn-to-ethanol fuel cycle for Midwest-produced ethanol used in both E85 and E10 blends with gasoline outperforms conventional (current) and reformulated (future) gasoline with respect to energy use and GHG production. Also, GHG reductions (but not energy use) appear surprisingly sensitive to the value chosen for combined soil and leached N-fertilizer conversion to nitrous oxide. Co-product energy-use attribution remains the single key factor in estimating ethanol's relative benefits because this value can range from 0 to 50%, depending on the attribution method chosen.

  8. High moisture corn stover pelleting in a flat die pellet mill fitted with a 6 mm die: physical properties and specific energy consumption

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Tumuluru, Jaya Shankar

    2015-06-15

    The quality and specific energy consumption (SEC) of the biomass pellets produced depend upon pelleting process conditions. The present study includes understanding the effect of feedstock moisture in the range of 28–38% (wet basis [w.b.]) and preheating in the range of 30–110°C at two die speeds of 40 and 60 Hz on the physical properties and SEC. A flat die pellet mill fitted with a 6 mm die was used in the present study. The physical properties of pellets such as moisture content, unit, bulk and tapped density, durability, and expansion ratio and SEC of the pelleting process are measured.more » The results indicate that the pellets produced have durability values in the range of 87–98%, and unit bulk and tapped density in the range of 670–1100, 375–575, and 420–620 kg/m³. Increasing the feedstock moisture content from 33% to 38% (w.b) decreased the unit, bulk and tapped density by about 30–40%. Increasing feedstock moisture content increased the expansion ratio and decreased the density values. A higher feedstock moisture content of 38% (w.b.) and higher preheating temperature of 110°C resulted in lower density and a higher expansion ratio, which can be attributed to flash off of moisture as the material extrudes out of the die. The SEC was in the range of 75–275 kWh/ton. Higher feedstock moisture content of 38% (w.b.) and a lower die speed of 40 Hz increased the SEC, whereas lower to medium preheating temperature (30–70°C), medium feedstock moisture content of 33% (w.b.), and a higher die speed of 60 Hz minimized the SEC to <100 kWh/ton.« less

  9. Advanced Biorefinery of Distriller's Grain and Corn Stover Blends

    SciTech Connect (OSTI)

    2006-04-01

    Fuel ethanol can be produced via the dry milling process, which converts corn grain to ethanol. The co-product, distillers grain (DG), is sold as a low-cost, high-protein feed source for livestock.

  10. Owens Corning

    Energy Savers [EERE]

    OWENS CORNING GOVERNMENT AND PUBLIC AFFAIRS 900 19 TH STREET N.W. SUITE 250 WASHINGTON, DC 20006 202.639.6900 FAX: 202.639.0247 OWENS CORNING September 20, 2013 By email: expartecommunications@hq.doe.gov Daniel Cohen Assistant General Counsel for Legislation and Regulatory Law Office of General Counsel Department of Energy 1000 Independence Ave., SW Washington DC 20585-0121 RE: Ex Parte Memo Dear Mr. Cohen: On Thursday, August 29, 2013, Julian Francis, VP & Managing Director Residential

  11. Manufacturing Consumption of Energy 1994

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

    also produce important byproducts such as fresh or dried citrus pulp. SIC 2046-Wet Corn Milling: Establishments primarily engaged in milling corn or sorghum grain (milo) by the...

  12. Ionfab Mill

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

    Oxford Ionfab System 300+ Ion Mill For questions concerning this machines capabilities, please contact Varshni Singh, at 578-0248. ionfab.jpg (60579 bytes) Removal of metallic patterns from a surface can be performed evenly with this inert gas ion beam system, which uses a projected Ar ion beam to sputter etch the surface of a six inch wafer at the users choice of angle and rotation speed. The Ionfab 300+ can allow researchers to investigate thin film structures with vertical or angled side

  13. Improved Multivariate Calibration Models for Corn Stover Feedstock and Dilute-Acid Pretreated Corn Stover

    SciTech Connect (OSTI)

    Wolfrum, E. J.; Sluiter, A. D.

    2009-01-01

    We have studied rapid calibration models to predict the composition of a variety of biomass feedstocks by correlating near-infrared (NIR) spectroscopic data to compositional data produced using traditional wet chemical analysis techniques. The rapid calibration models are developed using multivariate statistical analysis of the spectroscopic and wet chemical data. This work discusses the latest versions of the NIR calibration models for corn stover feedstock and dilute-acid pretreated corn stover. Measures of the calibration precision and uncertainty are presented. No statistically significant differences (p = 0.05) are seen between NIR calibration models built using different mathematical pretreatments. Finally, two common algorithms for building NIR calibration models are compared; no statistically significant differences (p = 0.05) are seen for the major constituents glucan, xylan, and lignin, but the algorithms did produce different predictions for total extractives. A single calibration model combining the corn stover feedstock and dilute-acid pretreated corn stover samples gave less satisfactory predictions than the separate models.

  14. Corn Plus | Open Energy Information

    Open Energy Info (EERE)

    Plus Jump to: navigation, search Name: Corn Plus Place: Winnebago, Minnesota Product: Farmer Coop which owns an Ethanol plant in Winnebago Mn. Coordinates: 42.236095,...

  15. Al Corn Clean Fuel | Open Energy Information

    Open Energy Info (EERE)

    Corn Clean Fuel Jump to: navigation, search Name: Al-Corn Clean Fuel Place: Claremont, North Dakota Product: Al-Corn is an ethanol plant located in Claremont, North Dakota, which...

  16. Tall Corn Ethanol LLC | Open Energy Information

    Open Energy Info (EERE)

    Tall Corn Ethanol LLC Jump to: navigation, search Name: Tall Corn Ethanol LLC Place: Coon Rapids, Iowa Zip: 50058 Product: Farmer owned bioethanol production company which owns a...

  17. Heartland Corn Products | Open Energy Information

    Open Energy Info (EERE)

    55396 Product: Heartland Corn Products is farmer-owned cooperative that produces corn-derived ethanol. Coordinates: 48.47373, -120.177559 Show Map Loading map......

  18. Value Added Products from Hemicellulose Utilization in Dry Mill Ethanol Plants

    SciTech Connect (OSTI)

    Rodney Williamson, ICPB; John Magnuson, PNNL; David Reed, INL; Marco Baez, Dyadic; Marion Bradford, ICPB

    2007-03-30

    The Iowa Corn Promotion Board is the principal contracting entity for this grant funded by the US Department of Agriculture and managed by the US Department of Energy. The Iowa Corn Promotion Board subcontracted with New Jersey Institute of Technology, KiwiChem, Pacific Northwest National Lab and Idaho National Lab to conduct research for this project. KiwiChem conducted the economic engineering assessment of a dry-mill ethanol plant. New Jersey Institute of Technology conducted work on incorporating the organic acids into polymers. Pacific Northwest National Lab conducted work in hydrolysis of hemicellulose, fermentation and chemical catalysis of sugars to value-added chemicals. Idaho National Lab engineered an organism to ferment a specific organic acid. Dyadic, an enzme company, was a collaborator which provided in-kind support for the project. The Iowa Corn Promotion Board collaborated with the Ohio Corn Marketing Board and the Minnesota Corn Merchandising Council in providing cost share for the project. The purpose of this diverse collaboration was to integrate the hydrolysis, the conversion and the polymer applications into one project and increase the likelihood of success. This project had two primary goals: (1) to hydrolyze the hemicellulose fraction of the distillers grain (DG) coproduct coming from the dry-mill ethanol plants and (2) convert the sugars derived from the hemicellulose into value-added co-products via fermentation and chemical catalysis.

  19. Ethanol extraction of phytosterols from corn fiber

    DOE Patents [OSTI]

    Abbas, Charles (Champaign, IL); Beery, Kyle E. (Decatur, IL); Binder, Thomas P. (Decatur, IL); Rammelsberg, Anne M. (Decatur, IL)

    2010-11-16

    The present invention provides a process for extracting sterols from a high solids, thermochemically hydrolyzed corn fiber using ethanol as the extractant. The process includes obtaining a corn fiber slurry having a moisture content from about 20 weight percent to about 50 weight percent solids (high solids content), thermochemically processing the corn fiber slurry having high solids content of 20 to 50% to produce a hydrolyzed corn fiber slurry, dewatering the hydrolyzed corn fiber slurry to achieve a residual corn fiber having a moisture content from about 30 to 80 weight percent solids, washing the residual corn fiber, dewatering the washed, hydrolyzed corn fiber slurry to achieve a residual corn fiber having a moisture content from about 30 to 80 weight percent solids, and extracting the residual corn fiber with ethanol and separating at least one sterol.

  20. Cassie Mills | Department of Energy

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

    Cassie Mills About Us Cassie Mills - Communications Associate in the Advanced Manufacturing Office Cassie Mills is a communications associate in the Advanced Manufacturing Office in the Office of Energy Efficiency and Renewable Energy. Most Recent Industrial Assessment Centers Train Future Energy-Savvy Engineers April 12

  1. Evaluation of End Mill Coatings

    SciTech Connect (OSTI)

    L. J. Lazarus; R. L. Hester,

    2005-08-01

    Milling tests were run on families of High Speed Steel (HSS) end mills to determine their lives while machining 304 Stainless Steel. The end mills tested were made from M7, M42 and T15-CPM High Speed Steels. The end mills were also evaluated with no coatings as well as with Titanium Nitride (TiN) and Titanium Carbo-Nitride (TiCN) coatings to determine which combination of HSS and coating provided the highest increase in end mill life while increasing the cost of the tool the least. We found end mill made from M42 gave us the largest increase in tool life with the least increase in cost. The results of this study will be used by Cutting Tool Engineering in determining which end mill descriptions will be dropped from our tool catalog.

  2. Optical wet steam monitor

    DOE Patents [OSTI]

    Maxey, L.C.; Simpson, M.L.

    1995-01-17

    A wet steam monitor determines steam particle size by using laser doppler velocimeter (LDV) device to produce backscatter light. The backscatter light signal is processed with a spectrum analyzer to produce a visibility waveform in the frequency domain. The visibility waveform includes a primary peak and a plurality of sidebands. The bandwidth of at least the primary frequency peak is correlated to particle size by either visually comparing the bandwidth to those of known particle sizes, or by digitizing the waveform and comparing the waveforms electronically. 4 figures.

  3. Optical wet steam monitor

    DOE Patents [OSTI]

    Maxey, Lonnie C. (Powell, TN); Simpson, Marc L. (Knoxville, TN)

    1995-01-01

    A wet steam monitor determines steam particle size by using laser doppler velocimeter (LDV) device to produce backscatter light. The backscatter light signal is processed with a spectrum analyzer to produce a visibility waveform in the frequency domain. The visibility waveform includes a primary peak and a plurality of sidebands. The bandwidth of at least the primary frequency peak is correlated to particle size by either visually comparing the bandwidth to those of known particle sizes, or by digitizing the waveform and comparing the waveforms electronically.

  4. Corn Plus Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Plus Wind Farm Jump to: navigation, search Name Corn Plus Wind Farm Facility Corn Plus Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner John...

  5. Techno-economic analysis of using corn stover to supply heat and power to a corn ethanol plant - Part 1: Cost of feedstock supply logistics

    SciTech Connect (OSTI)

    Sokhansanj, Shahabaddine; Mani, Sudhagar; Togore, Sam; Turhollow Jr, Anthony F

    2010-01-01

    Supply of corn stover to produce heat and power for a typical 170 dam3 dry mill ethanol plant is proposed. The corn ethanol plant requires 5.6 MW of electricity and 52.3 MW of process heat, which creates the annual stover demand of as much as 140 Gg. The corn stover supply system consists of collection, preprocessing, transportation and on-site fuel storage and preparation to produce heat and power for the ethanol plant. Economics of the entire supply system was conducted using the Integrated Biomass Supply Analysis and Logistics (IBSAL) simulation model. Corn stover was delivered in three formats (square bales, dry chops and pellets) to the combined heat and power plant. Delivered cost of biomass ready to be burned was calculated at 73 $ Mg-1 for bales, 86 $ Mg-1 for pellets and 84 $ Mg-1 for field chopped biomass. Among the three formats of stover supply systems, delivered cost of pelleted biomass was the highest due to high pelleting cost. Bulk transport of biomass in the form of chops and pellets can provide a promising future biomass supply logistic system in the US, if the costs of pelleting and transport are minimized.

  6. Pro Corn LLC | Open Energy Information

    Open Energy Info (EERE)

    Pro-Corn LLC Place: Preston, Minnesota Zip: 55965 Product: Minnesotan farmer owned bioethanol production company. Coordinates: 47.526531, -121.936019 Show Map Loading map......

  7. Corn Belt Power Cooperative Rebate Program

    Broader source: Energy.gov [DOE]

    Corn Belt Power Cooperative is a generation and transmission electric cooperative that provides power to nine distribution rural electric cooperatives and one municipal electric cooperative. These...

  8. Dow Corning Europe S A | Open Energy Information

    Open Energy Info (EERE)

    Corning Europe S A Jump to: navigation, search Name: Dow Corning Europe S.A. Place: Seneffe, Belgium Zip: 7180 Product: Seneffe is the headquarters for Dow Corning's operations in...

  9. Biochemical Production of Ethanol from Corn Stover: 2007 State...

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

    Biochemical Production of Ethanol from Corn Stover: 2007 State of Technology Model Biochemical Production of Ethanol from Corn Stover: 2007 State of Technology Model An update to...

  10. City of Corning, Iowa (Utility Company) | Open Energy Information

    Open Energy Info (EERE)

    Corning, Iowa (Utility Company) Jump to: navigation, search Name: Corning Municipal Utilities Place: Iowa Phone Number: (641) 322-3920 Outage Hotline: (641) 322-3920 References:...

  11. BloombergBusiness: Viewed from space: less corn

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

    fields. September 13, 2015 Domestic corn production will be 13.34 billion bushels, Descartes Labs forecast. Source: Descartes Labs via Bloomberg Domestic corn production will be...

  12. PRELIMINARY SURVEY OF SYLVANIA-CORNING NUCLEAR CORPORATION METALLURGIC...

    Office of Legacy Management (LM)

    SYLVANIA-CORNING NUCLEAR CORPORATION METALLURGICAL LABORATORY BAYSIDE, NEW YORK Work ... Remedial Action Program SYLVANIA-CORNING NUCLEAR CORPORATION METALLURGICAL LABORATORY ...

  13. Gas fluidized-bed stirred media mill

    DOE Patents [OSTI]

    Sadler, III, Leon Y. (Tuscaloosa, AL)

    1997-01-01

    A gas fluidized-bed stirred media mill is provided for comminuting solid ticles. The mill includes a housing enclosing a porous fluidizing gas diffuser plate, a baffled rotor and stator, a hollow drive shaft with lateral vents, and baffled gas exhaust exit ports. In operation, fluidizing gas is forced through the mill, fluidizing the raw material and milling media. The rotating rotor, stator and milling media comminute the raw material to be ground. Small entrained particles may be carried from the mill by the gas through the exit ports when the particles reach a very fine size.

  14. Hydrothermal Processing of Wet Wastes

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

    Processing of Wet Wastes James Oyler July 2014 Slide 1 Slide 2 Q: What is possible with Waste-to-Energy (WTE)? A: Up to 25% of US Liquid Fuel Supply. 25% Sounds High-Is That Possible? * Available technology and wet wastes can start toward this goal now * 285,000 barrels of oil per day by 2025 - 3.3 million bbl/d by 2045 (17% of US demand); also produces more than 6 million MCF/d of methane - Continue growing to 25% of US demand by adding more feedstocks (chart shown later) * Using wastes solves

  15. Gary Mills | Savannah River Ecology Laboratory

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

    Mills Curriculum Vitae Faculty & Scientists SREL Home Gary Mills Savannah River Ecology Laboratory P O Drawer E, Aiken, SC 29802 (803) 725-5368 office (803) 725-3309 fax...

  16. Multipass rotary shear comminution process to produce corn stover particles

    DOE Patents [OSTI]

    Dooley, James H; Lanning, David N

    2015-04-14

    A process of comminution of corn stover having a grain direction to produce a mixture of corn stover, by feeding the corn stover in a direction of travel substantially randomly to the grain direction one or more times through a counter rotating pair of intermeshing arrays of cutting discs (D) arrayed axially perpendicular to the direction of corn stover travel.

  17. Size reduction of high- and low-moisture corn stalks by linear knife grid system

    SciTech Connect (OSTI)

    Womac, A.R. [University of Tennessee; Igathinathane, C. [Mississippi State University (MSU); Sokhansanj, Shahabaddine [ORNL; Narayan, S. [First American Scientific Co.

    2009-04-01

    High- and low-moisture corn stalks were tested using a linear knife grid size reduction device developed for first-stage size reduction. The device was used in conjunction with a universal test machine that quantified shearing stress and energy characteristics for forcing a bed of corn stalks through a grid of sharp knives. No published engineering performance data for corn stover with similar devices are available to optimize performance; however, commercial knife grid systems exist for forage size reduction. From the force displacement data, mean and maximum ultimate shear stresses, cumulative and peak mass-based cutting energies for corn stalks, and mean new surface area-based cutting energies were determined from 4 5 refill runs at two moisture contents (78.8% and 11.3% wet basis), three knife grid spacings (25.4, 50.8, and 101.6 mm), and three bed depths (50.8, 101.6, and 152.4 mm). In general, the results indicated that peak failure load, ultimate shear stress, and cutting energy values varied directly with bed depth and inversely with knife grid spacing. Mean separation analysis established that high- and low-moisture conditions and bed depths 101.6 mm did not differ significantly (P < 0.05) for ultimate stress and cutting energy values, but knife grid spacing were significantly different. Linear knife grid cutting energy requirements for both moisture conditions of corn stalks were much smaller than reported cutting energy requirements. Ultimate shear stress and cutting energy results of this research should aid the engineering design of commercial scale linear knife gird size reduction equipment for various biomass feedstocks.

  18. Competitive Wetting in Active Brazes

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Chandross, Michael Evan

    2014-05-01

    We found that the wetting and spreading of molten filler materials (pure Al, pure Ag, and AgAl alloys) on a Kovar ™ (001) substrate was studied with molecular dynamics simulations. A suite of different simulations was used to understand the effects on spreading rates due to alloying as well as reactions with the substrate. Moreover, the important conclusion is that the presence of Al in the alloy enhances the spreading of Ag, while the Ag inhibits the spreading of Al.

  19. Corning, Iowa: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Corning is a city in Adams County, Iowa. It falls under Iowa's 5th congressional district.12 References ...

  20. Logs Wood Chips Straw Corn Switchgrass

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

    in wind can make electricity. Bioenergy comes from plants we can turn into fuel. Logs Wood Chips Straw Corn Switchgrass We can use energy from the earth to heat and cool our...

  1. Coal combustion by wet oxidation

    SciTech Connect (OSTI)

    Bettinger, J.A.; Lamparter, R.A.; McDowell, D.C.

    1980-11-15

    The combustion of coal by wet oxidation was studied by the Center for Waste Management Programs, of Michigan Technological University. In wet oxidation a combustible material, such as coal, is reacted with oxygen in the presence of liquid water. The reaction is typically carried out in the range of 204/sup 0/C (400/sup 0/F) to 353/sup 0/C (650/sup 0/F) with sufficient pressure to maintain the water present in the liquid state, and provide the partial pressure of oxygen in the gas phase necessary to carry out the reaction. Experimental studies to explore the key reaction parameters of temperature, time, oxidant, catalyst, coal type, and mesh size were conducted by running batch tests in a one-gallon stirred autoclave. The factors exhibiting the greatest effect on the extent of reaction were temperature and residence time. The effect of temperature was studied from 204/sup 0/C (400/sup 0/F) to 260/sup 0/C (500/sup 0/F) with a residence time from 600 to 3600 seconds. From this data, the reaction activation energy of 2.7 x 10/sup 4/ calories per mole was determined for a high-volatile-A-Bituminous type coal. The reaction rate constant may be determined at any temperature from the activation energy using the Arrhenius equation. Additional data were generated on the effect of mesh size and different coal types. A sample of peat was also tested. Two catalysts were evaluated, and their effects on reaction rate presented in the report. In addition to the high temperature combustion, low temperature desulfurization is discussed. Desulfurization can improve low grade coal to be used in conventional combustion methods. It was found that 90% of the sulfur can be removed from the coal by wet oxidation with the carbon untouched. Further desulfurization studies are indicated.

  2. Online SAG Mill Pluse Measurement and Optimization

    SciTech Connect (OSTI)

    Raj Rajamani; Jose Delgadillo; Vishal Duriseti

    2007-06-30

    The grinding efficiency of semi autogenous milling or ball milling depends on the tumbling motion of the total charge within the mill. Utilization of this tumbling motion for efficient breakage of particles depends on the conditions inside the mill. However, any kind of monitoring device to measure the conditions inside the mill shell during operation is virtually impossible due to the severe environment presented by the tumbling charge. An instrumented grinding ball, which is capable of surviving a few hours and transmitting the impacts it experiences, is proposed here. The spectrum of impacts collected over 100 revolutions of the mills presents the signature of the grinding environment inside mill. This signature could be effectively used to optimize the milling performance by investigating this signature's relation to mill product size, mill throughput, make-up ball size, mill speed, liner profile and ball addition rates. At the same time, it can also be used to design balls and liner systems that can survive longer in the mill. The technological advances made in electronics and communication makes this leap in instrumentation certainly viable. Hence, the instrumented grinding ball offers the ability to qualitatively observe and optimize the milling environment. An instrumented load cell package that can measure the force of impacts inside the grinding chamber of a mill is developed here. The signal from the instrumented load cell package is interpreted in terms of a histogram termed as an impact spectrum which is a plot of the number of impacts at a specific energy level against the energy. It reflects on the average force regime of the mill. The instrumented load cell package was calibrated against the ultra fast load cell which has been unanimously accepted as a standard to measure single breakage events. The load cell package was successfully used to produce impact spectra in an 8.5 inch lab scale mill. The mill speed and the ball size were varied to study their effect on the impact spectra. A good correlation was found between the process variables and the impact spectra. The load cell package was then used in a 16 inch pilot scale mill. The mill speed, ball size, and mill filling were varied here and a consistent trend between these variables and impact spectra was observed. With a better understanding developed from the initial tests, the design of the load cell package was significantly changed to eliminate noise. With the new design, the impact spectra were re-determined in the 16 inch pilot mill varying the process variables - ball size, mill speed, and mill filling. Finally, it is successfully shown that a change in the operating variables of a mill can be seen in the impact spectra and that this concept can be successfully developed to monitor the grinding operation of industrial mills. To adapt it to industrial level it is mandatory to make the load cell package wireless. A design of a wireless circuit that is capable of transferring data at the required speed of 1000 kbps was also developed and tested at Cortez Gold Mines (CGM), Nevada.

  3. Gary Calabrese > Corning Inc. > Scientific Advisory Board > The Energy

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

    Materials Center at Cornell Gary Calabrese Corning Inc

  4. Acidogenic fermentation of corn stover

    SciTech Connect (OSTI)

    Datta, R.

    1981-01-01

    Corn stover was fermentd by anaerobic acidogenic bacteria to produce volatile (C2-C6) organic acids. Mild pretreatment with dilute alkali solutions produced a two-fold increase in fermentability. A mixture of lime and sodium carbonate was found to be a better pretreatment agent than sodium hydroxide. Methane generation was inhibited by low temperature less than or equal to 25 degrees Celcius and high solids greater than or equal to 2.5% (w/v) fermentation. Volatile acid yields of 0.5-0.55 g acetic acid equivalent/g dry ash-free (DAF) stover could be obtained in batch fermentations. Several extractants and extraction solvents for organic acids were found to be nontoxic to acidogenic fermentation. The data show that acidogenic fermentation can produce useful volatile fatty acids in high yields from a complex lignocellulosic feedstock. These fermentation are nonsterile, need no stirring, and are easy to run. Moreover, cellulose, pentosans, and other carbohydrates are directly utilized by acidogenic bacteria. Hence, acidogenic fermentation could be useful in converting biomass to chemical feedstocks and fuel.

  5. The Bowersock Mills and Power Company 1874

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

    Incremental Hydroelectric Energy The Bowersock Mills and Power Co., Lawrence, KS Hydroelectric Energy Potential for U.S. BMPC Plant At Forefront of Development Curve "In our ...

  6. Kumar, Jitendra; Hoffman, Forrest; Hargrove, William; Mills,...

    Office of Scientific and Technical Information (OSTI)

    based Sampling Network Design for the State of Alaska Kumar, Jitendra; Hoffman, Forrest; Hargrove, William; Mills, Richard 54 Environmental Sciences Ecoregions; Representativeness;...

  7. Colony Mills Limited | Open Energy Information

    Open Energy Info (EERE)

    Place: Lahore, Pakistan Sector: Solar Product: Yarn manufacturer, plans to set up solar thermal plant. References: Colony Mills Limited1 This article is a stub. You can help...

  8. Mille Lacs Energy Cooperative | Open Energy Information

    Open Energy Info (EERE)

    Cooperative Place: Minnesota Phone Number: 1-800-450-2191 Website: www.mlecmn.net Facebook: https:www.facebook.compagesMille-Lacs-Energy-Cooperative299198793447582 Outage...

  9. Agroecology of corn production in Tlaxcala, Mexico

    SciTech Connect (OSTI)

    Altieri, M.A.; Trujillo, J.

    1987-06-01

    The primary components of Tlaxcalan corn agriculture are described, including cropping patterns employed, resource management strategies, and interactions of human and biological factors. Tlaxcalan farmers grow corn in an array of polyculture and agroforestry designs that result in a series of ecological processes important for insect pest and soil fertility management. Measurements derived from a few selected fields show that trees integrated into cropping systems modify the aerial and soil environment of associated understory corn plants, influencing their growth and yields. With decreasing distance from trees, surface concentrations of most soil nutrients increase. Certain tree species affect corn yields more than others. Arthropod abundance also varies depending on their degree of association with one or more of the vegetational components of the system. Densities of predators and the corn pest Macrodactylus sp. depend greatly on the presence and phenology of adjacent alfalfa strips. Although the data were derived from nonreplicated fields, they nevertheless point out some important trends, information that can be used to design new crop association that will achieve sustained soil fertility and low pest potentials.

  10. Carbon nanotube fiber spun from wetted ribbon

    DOE Patents [OSTI]

    Zhu, Yuntian T; Arendt, Paul; Zhang, Xiefei; Li, Qingwen; Fu, Lei; Zheng, Lianxi

    2014-04-29

    A fiber of carbon nanotubes was prepared by a wet-spinning method involving drawing carbon nanotubes away from a substantially aligned, supported array of carbon nanotubes to form a ribbon, wetting the ribbon with a liquid, and spinning a fiber from the wetted ribbon. The liquid can be a polymer solution and after forming the fiber, the polymer can be cured. The resulting fiber has a higher tensile strength and higher conductivity compared to dry-spun fibers and to wet-spun fibers prepared by other methods.

  11. Uranium mill ore dust characterization

    SciTech Connect (OSTI)

    Knuth, R.H.; George, A.C.

    1980-11-01

    Cascade impactor and general air ore dust measurements were taken in a uranium processing mill in order to characterize the airborne activity, the degree of equilibrium, the particle size distribution and the respirable fraction for the /sup 238/U chain nuclides. The sampling locations were selected to limit the possibility of cross contamination by airborne dusts originating in different process areas of the mill. The reliability of the modified impactor and measurement techniques was ascertained by duplicate sampling. The results reveal no significant deviation from secular equilibrium in both airborne and bulk ore samples for the /sup 234/U and /sup 230/Th nuclides. In total airborne dust measurements, the /sup 226/Ra and /sup 210/Pb nuclides were found to be depleted by 20 and 25%, respectively. Bulk ore samples showed depletions of 10% for the /sup 226/Ra and /sup 210/Pb nuclides. Impactor samples show disequilibrium of /sup 226/Ra as high as +-50% for different size fractions. In these samples the /sup 226/Ra ratio was generally found to increase as particle size decreased. Activity median aerodynamic diameters of the airborne dusts ranged from 5 to 30 ..mu..m with a median diameter of 11 ..mu..m. The maximum respirable fraction for the ore dusts, based on the proposed International Commission on Radiological Protection's (ICRP) definition of pulmonary deposition, was < 15% of the total airborne concentration. Ore dust parameters calculated for impactor duplicate samples were found to be in excellent agreement.

  12. Tamil Nadu Spinning Mills Association TASMA | Open Energy Information

    Open Energy Info (EERE)

    Tamil Nadu, India Zip: 624003 Sector: Wind energy Product: Association of spinning mill owners; promoting wind power projects. References: Tamil Nadu Spinning Mills...

  13. Mill Run Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    Run Wind Power Project Jump to: navigation, search Name Mill Run Wind Power Project Facility Mill Run Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind...

  14. Beijing Jingye Bearing Manufacture for Rolling Mills Co Ltd ...

    Open Energy Info (EERE)

    Beijing Jingye Bearing Manufacture for Rolling Mills Co Ltd Jump to: navigation, search Name: Beijing Jingye Bearing Manufacture for Rolling Mills Co Ltd Place: Beijing...

  15. West Coast Paper Mills Ltd WCPML | Open Energy Information

    Open Energy Info (EERE)

    Paper Mills Ltd WCPML Jump to: navigation, search Name: West Coast Paper Mills Ltd. (WCPML) Place: Dandeli, Karnataka, India Zip: 581 325 Sector: Biomass Product: Dandeli based...

  16. Modification of Corn Starch Ethanol Refinery to Efficiently Accept Various High-Impact Cellulosic Feedstocks

    SciTech Connect (OSTI)

    Derr, Dan

    2013-12-30

    The goal of the Corn-to-Cellulosic Migration (CCM) pilot facility was to demonstrate the implementation of advanced technologies and methods for conversion of non-food, cellulosic feedstocks into ethanol, assess the economics of the facility and evaluate potential environmental benefits for biomass to fuels conversion. The CCM project was comprised of design, build, and operate phases for the CCM pilot facility as well as research & development, and modeling components. The CCM pilot facility was designed to process 1 tonne per day of non-food biomass and biologically convert that biomass to ethanol at a rate of 70 gallons per tonne. The plant demonstrated throughputs in excess of 1 tonne per day for an extended run of 1400 hours. Although target yields were not fully achieved, the continuous operation validated the design and operability of the plant. These designs will permit the design of larger scale operations at existing corn milling operations or for greenfield plants. EdeniQ, a partner in the project and the owner of the pilot plant, continues to operate and evaluate other feedstocks.

  17. Effect of pelleting on the recalcitrance and bioconversion of dilute-acid pretreated corn stover

    SciTech Connect (OSTI)

    Allison E Ray; Amber Hoover; Gary Gresham

    2012-07-01

    Background: Knowledge regarding the performance of densified biomass in biochemical processes is limited. The effects of densification on biochemical conversion are explored here. Methods: Pelleted corn stover samples were generated from bales that were milled to 6.35 mm. Low-solids acid pretreatment and simultaneous saccharification and fermentation were performed to evaluate pretreatment efficacy and ethanol yields achieved for pelleted and ground stover (6.35 mm and 2 mm) samples. Both pelleted and 6.35-mm ground stover were evaluated using a ZipperClave reactor under high-solids, process-relevant conditions for multiple pretreatment severities (Ro), followed by enzymatic hydrolysis of the washed, pretreated solids. Results: Monomeric xylose yields were significantly higher for pellets (approximately 60%) than for ground formats (approximately 38%). Pellets achieved approximately 84% of theoretical ethanol yield (TEY); ground stover formats had similar profiles, reaching approximately 68% TEY. Pelleting corn stover was not detrimental to pretreatment efficacy for both low- and high-solids conditions, and even enhanced ethanol yields.

  18. Lake Mills Light & Water | Open Energy Information

    Open Energy Info (EERE)

    Light & Water Jump to: navigation, search Name: Lake Mills Light & Water Place: Wisconsin Phone Number: (920) 648-4026 Website: www.lakemillslw.com Outage Hotline: (920) 648-4026...

  19. Wetting of a Chemically Heterogeneous Surface

    SciTech Connect (OSTI)

    Frink, L.J.D.; Salinger, A.G.

    1998-11-20

    Theories for inhomogeneous fluids have focused in recent years on wetting, capillary conden- sation, and solvation forces for model systems where the surface(s) is(are) smooth homogeneous parallel plates, cylinders, or spherical drops. Unfortunately natural systems are more likely to be hetaogeneous both in surt%ce shape and surface chemistry. In this paper we discuss the conse- quences of chemical heterogeneity on wetting. Specifically, a 2-dimensional implementation of a nonlocal density functional theory is solved for a striped surface model. Both the strength and range of the heterogeneity are varied. Contact angles are calculated, and phase transitions (both the wetting transition and a local layering transition) are located. The wetting properties of the surface ase shown to be strongly dependent on the nature of the surface heterogeneity. In addition highly ordered nanoscopic phases are found, and the operational limits for formation of ordered or crystalline phases of nanoscopic extent are discussed.

  20. Texas - RRC District 1 Natural Gas, Wet After Lease Separation...

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 1 Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  1. Texas - RRC District 6 Natural Gas, Wet After Lease Separation...

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 6 Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  2. Texas Nonassociated Natural Gas, Wet After Lease Separation,...

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

    Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic...

  3. Texas Associated-Dissolved Natural Gas, Wet After Lease Separation...

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion...

  4. Texas - RRC District 8 Natural Gas, Wet After Lease Separation...

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 8 Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  5. Texas - RRC District 5 Natural Gas, Wet After Lease Separation...

    Gasoline and Diesel Fuel Update (EIA)

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 5 Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  6. MHK Technologies/WET NZ | Open Energy Information

    Open Energy Info (EERE)

    to the MHK database homepage WET NZ.jpg Technology Profile Primary Organization Wave Energy Technology New Zealand WET NZ Technology Resource Click here Wave Technology...

  7. New York Nonassociated Natural Gas, Wet After Lease Separation...

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New York Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion...

  8. New York Natural Gas, Wet After Lease Separation Proved Reserves...

    Gasoline and Diesel Fuel Update (EIA)

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) New York Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1...

  9. Wet/dry cooling tower and method

    DOE Patents [OSTI]

    Glicksman, Leon R. (Lynnfield, MA); Rohsenow, Warren R. (Waban, MA)

    1981-01-01

    A wet/dry cooling tower wherein a liquid to-be-cooled is flowed along channels of a corrugated open surface or the like, which surface is swept by cooling air. The amount of the surface covered by the liquid is kept small compared to the dry part thereof so that said dry part acts as a fin for the wet part for heat dissipation.

  10. Corning, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Corning, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.1428521, -77.0546903 Show Map Loading map... "minzoom":false,"mappingserv...

  11. DOE - Office of Legacy Management -- Sylvania Corning Nuclear...

    Office of Legacy Management (LM)

    Nuclear Corp Inc Sylvania Laboratories - NY 07 FUSRAP Considered Sites Site: SYLVANIA CORNING NUCLEAR CORP., INC., SYLVANIA LABORATORIES (NY.07) Eliminated from consideration under ...

  12. Corn LP formerly Central Iowa Renewable Energy | Open Energy...

    Open Energy Info (EERE)

    Place: Goldfield, Iowa Zip: 50542 Product: Bioethanol producer using corn as raw material Coordinates: 37.707559, -117.233459 Show Map Loading map... "minzoom":false,"map...

  13. Corn fiber hulls as a food additive or animal feed

    DOE Patents [OSTI]

    Abbas, Charles; Beery, Kyle E.; Cecava, Michael J.; Doane, Perry H.

    2010-12-21

    The present invention provides a novel animal feed or food additive that may be made from thermochemically hydrolyzed, solvent-extracted corn fiber hulls. The animal feed or food additive may be made, for instance, by thermochemically treating corn fiber hulls to hydrolyze and solubilize the hemicellulose and starch present in the corn fiber hulls to oligosaccharides. The residue may be extracted with a solvent to separate the oil from the corn fiber, leaving a solid residue that may be prepared, for instance by aggolmerating, and sold as a food additive or an animal feed.

  14. Wet powder seal for gas containment

    DOE Patents [OSTI]

    Stang, Louis G. (Sayville, NY)

    1982-01-01

    A gas seal is formed by a compact layer of an insoluble powder and liquid filling the fine interstices of that layer. The smaller the particle size of the selected powder, such as sand or talc, the finer will be the interstices or capillary spaces in the layer and the greater will be the resulting sealing capacity, i.e., the gas pressure differential which the wet powder layer can withstand. Such wet powder seal is useful in constructing underground gas reservoirs or storage cavities for nuclear wastes as well as stopping leaks in gas mains buried under ground or situated under water. The sealing capacity of the wet powder seal can be augmented by the hydrostatic head of a liquid body established over the seal.

  15. Controllable underwater anisotropic oil-wetting

    SciTech Connect (OSTI)

    Yong, Jiale; Chen, Feng Yang, Qing; Farooq, Umar; Bian, Hao; Du, Guangqing; Hou, Xun

    2014-08-18

    This Letter demonstrates a simple method to achieve underwater anisotropic oil-wetting using silicon surfaces with a microgroove array produced by femtosecond laser ablation. The oil contact angles along the direction perpendicular to the grooves are consistently larger than those parallel to the microgroove arrays in water because the oil droplet is restricted by the energy barrier that exists between the non-irradiated domain and the trapped water in the laser-ablated microgrooves. This underwater anisotropic oil-wetting is able to be controlled, and the anisotropy can be tuned from 0 to ?20 by adjusting the period of the microgroove arrays.

  16. Corn Storage Protein - A Molecular Genetic Model

    SciTech Connect (OSTI)

    Messing, Joachim

    2013-05-31

    Corn is the highest yielding crop on earth and probably the most valuable agricultural product of the United States. Because it converts sun energy through photosynthesis into starch and proteins, we addressed energy savings by focusing on protein quality. People and animals require essential amino acids derived from the digestion of proteins. If proteins are relatively low in certain essential amino acids, the crop becomes nutritionally defective and has to be supplemented. Such deficiency affects meat and fish production and countries where corn is a staple. Because corn seed proteins have relatively low levels of lysine and methionine, a diet has to be supplemented with soybeans for the missing lysine and with chemically synthesized methionine. We therefore have studied genes expressed during maize seed development and their chromosomal organization. A critical technical requirement for the understanding of the molecular structure of genes and their positional information was DNA sequencing. Because of the length of sequences, DNA sequencing methods themselves were insufficient for this type of analysis. We therefore developed the so-called DNA shotgun sequencing strategy, where overlapping DNA fragments were sequenced in parallel and used to reconstruct large DNA molecules via overlaps. Our publications became the most frequently cited ones during the decade of 1981-1990 and former Associate Director of Science for the Office of Basic Energy Sciences Patricia M. Dehmer presented our work as one of the great successes of this program. A major component of the sequencing strategy was the development of bacterial strains and vectors, which were also used to develop the first biotechnology crops. These crops possessed new traits thanks to the expression of foreign genes in plants. To enable such expression, chimeric genes had to be constructed using our materials and methods by the industry. Because we made our materials and methods freely available to academia and industry, progress in plant research and new crop development could accelerate and benefit the public.

  17. Validation of the Hot Strip Mill Model

    SciTech Connect (OSTI)

    Richard Shulkosky; David Rosberg; Jerrud Chapman

    2005-03-30

    The Hot Strip Mill Model (HSMM) is an off-line, PC based software originally developed by the University of British Columbia (UBC) and the National Institute of Standards and Technology (NIST) under the AISI/DOE Advanced Process Control Program. The HSMM was developed to predict the temperatures, deformations, microstructure evolution and mechanical properties of steel strip or plate rolled in a hot mill. INTEG process group inc. undertook the current task of enhancing and validating the technology. With the support of 5 North American steel producers, INTEG process group tested and validated the model using actual operating data from the steel plants and enhanced the model to improve prediction results.

  18. Owings Mills, Maryland: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    You can help OpenEI by expanding it. Owings Mills is a census-designated place in Baltimore County, Maryland.1 Registered Energy Companies in Owings Mills, Maryland...

  19. Mill Designed Bio bleaching Technologies

    SciTech Connect (OSTI)

    Institute of Paper Science Technology

    2004-01-30

    A key finding of this research program was that Laccase Mediator Systems (LMS) treatments on high-kappa kraft could be successfully accomplished providing substantial delignification (i.e., > 50%) without detrimental impact on viscosity and significantly improved yield properties. The efficiency of the LMS was evident since most of the lignin from the pulp was removed in less than one hour at 45 degrees C. Of the mediators investigated, violuric acid was the most effective vis-a-vis delignification. A comparative study between oxygen delignification and violuric acid revealed that under relatively mild conditions, a single or a double LMS{sub VA} treatment is comparable to a single or a double O stage. Of great notability was the retention of end viscosity of LMS{sub VA} treated pulps with respect to the end viscosity of oxygen treated pulps. These pulps could then be bleached to full brightness values employing conventional ECF bleaching technologies and the final pulp physical properties were equal and/or better than those bleached in a conventional ECF manner employing an aggressively O or OO stage initially. Spectral analyses of residual lignins isolated after LMS treated high-kappa kraft pulps revealed that similar to HBT, VA and NHA preferentially attack phenolic lignin moieties. In addition, a substantial decrease in aliphatic hydroxyl groups was also noted, suggesting side chain oxidation. In all cases, an increase in carboxylic acid was observed. Of notable importance was the different selectivity of NHA, VA and HBT towards lignin functional groups, despite the common N-OH moiety. C-5 condensed phenolic lignin groups were overall resistant to an LMS{sub NHA, HBT} treatments but to a lesser extent to an LMS{sub VA}. The inactiveness of these condensed lignin moieties was not observed when low-kappa kraft pulps were biobleached, suggesting that the LMS chemistry is influenced by the extent of delignification. We have also demonstrated that the current generation of laccase has a broad spectrum of operating parameters. Nonetheless, the development of future genetically engineered laccases with enhanced temperature, pH and redox potentials will dramatically improve the overall process. A second challenge for LMS bleaching technologies is the need to develop effective, catalytic mediators. From the literature we already know this is feasible since ABTS and some inorganic mediators are catalytic. Unfortunately, the mediators that exhibit catalytic properties do not exhibit significant delignification properties and this is a challenge for future research studies. Potential short-term mill application of laccase has been recently reported by Felby132 and Chandra133 as they have demonstrated that the physical properties of linerboard can be improved when exposed to laccase without a chemical mediator. In addition, xxx has shown that the addition of laccase to the whitewater of the paper machine has several benefits for the removal of colloidal materials. Finally, this research program has presented important features on the delignification chemistry of LMS{sub NHA} and LMS{sub VA} that, in the opinion of the author, are momentous contributions to the overall LMS chemistry/biochemistry knowledge base which will continue to have future benefits.

  20. Microstructure Engineering for Hot Strip Mills | Department of Energy

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

    Microstructure Engineering for Hot Strip Mills Microstructure Engineering for Hot Strip Mills Innovative Model Provides a More Detailed Insight into Mill Operations to Reduce Costs and Improve Quality Many hot rolled products must achieve strict strength and toughness requirements, making control of the microstructure critical. This causes these products to be difficult to make and requires many costly full production trials before the range of both chemical composition and hot strip mill

  1. Bay Mills Indian Community Energy Reduction Feasibility Study

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

    Tribal Council of Michigan, Inc. Environmental Services Division Chris Kushman Bay Mills Indian Community Energy Reduction Feasibility Study *DOE Tribal Energy Program *Tribal Energy Program Review presenters *Bay Mills Indian Community Thank You * Great relationship between ITCMI and Bay Mills * Proactive in exploring renewable energy alternatives - Bay Mills Community College Alternative Energy Curriculum - Biofuels and the crops to support biofuels - Wind resource data collection * Upper

  2. DOE - Office of Legacy Management -- Monticello Mill Site - UT 03

    Office of Legacy Management (LM)

    Mill Site - UT 03 FUSRAP Considered Sites Site: Monticello Mill Site (UT.03) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Monticello, Utah, Disposal and Processing Sites Documents Related to Monticello Mill Site Monticello Mill Tailings Site Operable Unit III Interim Remedial Action Progress Report July 1999-July 2000.

  3. Comments of Mille Lacs Energy Cooperative | Department of Energy

    Office of Environmental Management (EM)

    Mille Lacs Energy Cooperative Comments of Mille Lacs Energy Cooperative Comments of Mille Lacs Energy Cooperative on Implementing the National Broadband Plan by Studying the Communications Requirements of Electric Utilities to Inform Federal Smart Grid Policy PDF icon Comments of Mille Lacs Energy Cooperative More Documents & Publications Comments of Utilities Telecom Council Communications Requirements of Smart Grid Technologies NBP RFI: Communications Requirements - Reply Comments of

  4. DOE - Office of Legacy Management -- Edgemont Mill Site - SD 01

    Office of Legacy Management (LM)

    Edgemont Mill Site - SD 01 FUSRAP Considered Sites Site: Edgemont Mill Site (SD.01) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Edgemont, South Dakota, Disposal Site Documents Related to Edgemont Mill Site 2014 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title II Disposal

  5. DOE - Office of Legacy Management -- Lowman Mill Site - ID 01

    Office of Legacy Management (LM)

    Lowman Mill Site - ID 01 FUSRAP Considered Sites Site: Lowman Mill Site (ID.01) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Lowman, Idaho, Disposal Site Documents Related to Lowman Mill Site

  6. Indian Centre for Wind Energy Technology C WET | Open Energy...

    Open Energy Info (EERE)

    Centre for Wind Energy Technology C WET Jump to: navigation, search Name: Indian Centre for Wind Energy Technology (C-WET) Place: Chennai, India Zip: 601 302 Sector: Wind energy...

  7. Texas Natural Gas, Wet After Lease Separation Proved Reserves...

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2...

  8. Hydrothermal Processing of Wet Wastes | Department of Energy

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

    Hydrothermal Processing of Wet Wastes Hydrothermal Processing of Wet Wastes Breakout Session 3A-Conversion Technologies III: Energy from Our Waste (Will we Be Rich in Fuel or Knee Deep in Trash by 2025?) Hydrothermal Processing of Wet Wastes James R. Oyler, President, Genifuel Corporation PDF icon oyler_biomass_2014.pdf More Documents & Publications Challenges and Opportunities for Wet-Waste Feedstocks - Resource Assessment Waste-to-Energy Workshop Summary Report Algae-to-Fuel: Integrating

  9. Challenges and Opportunities for Wet-Waste Feedstocks - Resource

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

    Assessment | Department of Energy Challenges and Opportunities for Wet-Waste Feedstocks - Resource Assessment Challenges and Opportunities for Wet-Waste Feedstocks - Resource Assessment Breakout Session 2-C: Biogas and Beyond: Challenges and Opportunities for Advanced Biofuels from Wet-Waste Feedstocks Challenges and Opportunities for Wet-Waste Feedstocks - Resource Assessment Corinne Drennan, Energy & Environment Directorate, Pacific Northwest National Laboratory PDF icon

  10. Technology Maturation Plan (TMP) Wet Air Oxidation (WAO) Technology for

    Energy Savers [EERE]

    Tank 48H Treatment Project (TTP) | Department of Energy Wet Air Oxidation (WAO) Technology for Tank 48H Treatment Project (TTP) Technology Maturation Plan (TMP) Wet Air Oxidation (WAO) Technology for Tank 48H Treatment Project (TTP) This assessment determines the technology maturity level of the candidate Tank 48H treatment technologies that are being considered for implementation at DOE's SRS - specifically Wet Air Oxidation. PDF icon Technology Maturation Plan (TMP) Wet Air Oxidation (WAO)

  11. Beneficial uses of paper mill residuals for New York State`s recycled-paper mills. Final report

    SciTech Connect (OSTI)

    1995-09-01

    This report evaluates the New York paper mill industry in terms of the productive management and treatment of solid wastes. It identifies current efforts by recycling mills to beneficially use paper mill residuals (often called sludge) and suggests additional options that should be considered by the industry in general and individual mills in particular. It also examines the regulations and economics affecting the mills and suggests actions that could improve the industry`s ability to convert wastes to value-added products. The report recommends that the mills should continue measures to reduce fiber and filler clay losses, promote the transfer of usable fiber and clay to mills able to use them, upgrade sludge dewatering capabilities, and take a more regional approach to solid waste disposal problems. State agencies are urged to support these efforts, encourage the development and commercialization of new beneficial use technologies, and reduce regulatory barriers whenever possible.

  12. Little Sioux Corn Processors LP | Open Energy Information

    Open Energy Info (EERE)

    LP Place: Iowa Zip: 51035 Product: Owners and operators of the 40m gallon per year bioethanol plant in Marcus, Iowa. References: Little Sioux Corn Processors LP1 This article...

  13. Geothermal Mill Redevelopment Project in Massachusetts

    SciTech Connect (OSTI)

    Vale, A.Q.

    2009-03-17

    Anwelt Heritage Apartments, LLC redeveloped a 120-year old mill complex into a mixed-use development in a lower-income neighborhood in Fitchburg, Massachusetts. Construction included 84 residential apartments rented as affordable housing to persons aged 62 and older. The Department of Energy (DOE) award was used as an essential component of financing the project to include the design and installation of a 200 ton geothermal system for space heating and cooling.

  14. Microsoft Word - Mills CV March 2015.docx

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

    CURRICULUM VITAE GARY LAWRENCE MILLS Savannah River Ecology Laboratory (SREL) University of Georgia Drawer E Aiken, SC 29802 gmills@srel.uga.edu Office: 803-725-5368 Cell: 803-270-3163 PROFESSIONAL EXPERIENCE: 2010 - Present Associate Research Scientist, SREL, University of Georgia 2005 - 2010 Program Manager, Organic Analysis and Mass Spectrometry SREL, University of Georgia 1990 - 2005 Associate Research Scientist, SREL, University of Georgia 1983 - 1990 Assistant Research Scientist, SREL,

  15. Annual corned beef and cabbage fundraiser | Argonne National Laboratory

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

    Annual corned beef and cabbage fundraiser March 17, 2016 11:30AM to 1:00PM Location Building 333 Type Social Event A $10 ticket includes one plate of corned beef and cabbage, potatoes, carrots, rye bread and water. A portion of the proceeds will be donated to camp "I Am Me," an Illinois camp for young burn survivors. Tickets should be purchased in advance at Bldg. 333 or ext. 2-6131. Download the flyer.

  16. Biochemical Production of Ethanol from Corn Stover: 2007 State of

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

    Technology Model | Department of Energy Biochemical Production of Ethanol from Corn Stover: 2007 State of Technology Model Biochemical Production of Ethanol from Corn Stover: 2007 State of Technology Model An update to the FY 2005 assessment of the state of technical research progress toward biochemical process goals. This assessment containins research results from 2006 and 2007. PDF icon 43205.pdf More Documents & Publications Process Design and Economics for Biochemical Conversion of

  17. PRELIMINARY SURVEY OF SYLVANIA-CORNING NUCLEAR CORPORATION METALLURGICAL LABORATORY

    Office of Legacy Management (LM)

    SYLVANIA-CORNING NUCLEAR CORPORATION METALLURGICAL LABORATORY BAYSIDE, NEW YORK Work performed by the Health and Safety Research Division Oak Ridge National Laboratory Oak Ridge, Tennessee 37830 March 1980 OAK RIDGE NATIONAL LABORATORY operated by UNION CARBIDE CORPORATION for the DEPARTMENT OF ENERGY as part of the Formerly Utilized Sites-- Remedial Action Program SYLVANIA-CORNING NUCLEAR CORPORATION METALLURGICAL LABORATORY BAYSIDE, NEW YORK At the request of the Department of Energy (DOE), a

  18. Hydrocarbon Liquid Production via Catalytic Hydroprocessing of Phenolic Oils Fractionated from Fast Pyrolysis of Red Oak and Corn Stover

    SciTech Connect (OSTI)

    Elliott, Douglas C.; Wang, Huamin; Rover, Majorie; Whitmer, Lysle; Smith, Ryan; Brown, Robert C.

    2015-04-13

    Phenolic oils were produced from fast pyrolysis of two different biomass feedstocks, red oak and corn stover and evaluated in hydroprocessing tests for production of liquid hydrocarbon products. The phenolic oils were produced with a bio-oil fractionating process in combination with a simple water wash of the heavy ends from the fractionating process. Phenolic oils derived from the pyrolysis of red oak and corn stover were recovered with yields (wet biomass basis) of 28.7 wt% and 14.9 wt%, respectively, and 54.3% and 58.6% on a carbon basis. Both precious metal catalysts and sulfided base metal catalyst were evaluated for hydrotreating the phenolic oils, as an extrapolation from whole bio-oil hydrotreatment. They were effective in removing heteroatoms with carbon yields as high as 81% (unadjusted for the 90% carbon balance). There was nearly complete heteroatom removal with residual O of only 0.4% to 5%, while N and S were reduced to less than 0.05%. Use of the precious metal catalysts resulted in more saturated products less completely hydrotreated compared to the sulfided base metal catalyst, which was operated at higher temperature. The liquid product was 42-52% gasoline range molecules and about 43% diesel range molecules. Particulate matter in the phenolic oils complicated operation of the reactors, causing plugging in the fixed-beds especially for the corn stover phenolic oil. This difficulty contrasts with the catalyst bed fouling and plugging, which is typically seen with hydrotreatment of whole bio-oil. This problem was substantially alleviated by filtering the phenolic oils before hydrotreating. More thorough washing of the phenolic oils during their preparation from the heavy ends of bio-oil or on-line filtration of pyrolysis vapors to remove particulate matter before condensation of the bio-oil fractions is recommended.

  19. Hydrocarbon Liquid Production via Catalytic Hydroprocessing of Phenolic Oils Fractionated from Fast Pyrolysis of Red Oak and Corn Stover

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Elliott, Douglas C.; Wang, Huamin; Rover, Majorie; Whitmer, Lysle; Smith, Ryan; Brown, Robert C.

    2015-04-13

    Phenolic oils were produced from fast pyrolysis of two different biomass feedstocks, red oak and corn stover and evaluated in hydroprocessing tests for production of liquid hydrocarbon products. The phenolic oils were produced with a bio-oil fractionating process in combination with a simple water wash of the heavy ends from the fractionating process. Phenolic oils derived from the pyrolysis of red oak and corn stover were recovered with yields (wet biomass basis) of 28.7 wt% and 14.9 wt%, respectively, and 54.3% and 58.6% on a carbon basis. Both precious metal catalysts and sulfided base metal catalyst were evaluated for hydrotreatingmore » the phenolic oils, as an extrapolation from whole bio-oil hydrotreatment. They were effective in removing heteroatoms with carbon yields as high as 81% (unadjusted for the 90% carbon balance). There was nearly complete heteroatom removal with residual O of only 0.4% to 5%, while N and S were reduced to less than 0.05%. Use of the precious metal catalysts resulted in more saturated products less completely hydrotreated compared to the sulfided base metal catalyst, which was operated at higher temperature. The liquid product was 42-52% gasoline range molecules and about 43% diesel range molecules. Particulate matter in the phenolic oils complicated operation of the reactors, causing plugging in the fixed-beds especially for the corn stover phenolic oil. This difficulty contrasts with the catalyst bed fouling and plugging, which is typically seen with hydrotreatment of whole bio-oil. This problem was substantially alleviated by filtering the phenolic oils before hydrotreating. More thorough washing of the phenolic oils during their preparation from the heavy ends of bio-oil or on-line filtration of pyrolysis vapors to remove particulate matter before condensation of the bio-oil fractions is recommended.« less

  20. Pulp and Paper Mills: Profiting from Efficient Motor System Use |

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

    Department of Energy Pulp and Paper Mills: Profiting from Efficient Motor System Use Pulp and Paper Mills: Profiting from Efficient Motor System Use This 2-page fact sheet describes The Paper and Allied Products Industry spending to operate electric motor systems and opportunities to reduce these costs. PDF icon Pulp and Paper Mills: Profiting from Efficient Motor System Use (January 1999) More Documents & Publications Bandwidth Study U.S. Pulp and Paper Manufacturing United States

  1. Uranium Mill Tailings Radiation Control Act Sites Fact Sheet

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

    This fact sheet provides information about the Uranium Mill Tailings Radiation Control Act Title I and II disposal and processing sites. The sites are managed by the U.S. Department of Energy Office of Legacy Management. Introduction The Uranium Mill Tailings Radiation Control Act (UMTRCA) of 1978 (Public Law 95-604) is a federal law that provides for the safe and environmentally sound disposal, long-term stabilization, and control of uranium mill tailings in a manner that minimizes or

  2. DOE - Office of Legacy Management -- Marion Mill Site - CO 09

    Office of Legacy Management (LM)

    Mill Site - CO 09 FUSRAP Considered Sites Site: MARION MILL SITE (CO.09 ) Eliminated from further consideration under FUSRAP - deferred to the State of Colorado for appropriate action. Designated Name: Not Designated Alternate Name: None Location: Sugar Leaf Road , Boulder , Colorado CO.09-1 Evaluation Year: Circa 1983 CO.09-1 Site Operations: Milled and processed thorite and other rare earth ores in 1957 and 1958. Some of the thorium concentrate produced was shipped to Davison Chemical Company

  3. DOE - Office of Legacy Management -- Uravan Mill Site - CO 02

    Office of Legacy Management (LM)

    Uravan Mill Site - CO 02 FUSRAP Considered Sites Site: Uravan Mill Site (CO.02 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Naturita, Colorado, Processing Site Documents Related to Uravan Mill Site Data Validation Package for the July and October 2008 Water Sampling at the Naturita Processing and Disposal Sites Data Validation

  4. Moab Mill Tailings Removal Project Celebrates 5 Years of Success |

    Office of Environmental Management (EM)

    Department of Energy Removal Project Celebrates 5 Years of Success Moab Mill Tailings Removal Project Celebrates 5 Years of Success October 3, 2012 - 12:00pm Addthis Pictured here is the Moab uranium mill tailings pile. Tailings excavation and conditioning activities are seen in the foreground. The water spray is used to eliminate extracted contaminated groundwater. Pictured here is the Moab uranium mill tailings pile. Tailings excavation and conditioning activities are seen in the

  5. Energy Department Recognizes General Mills for Leadership and Innovation at

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

    Iowa Plant | Department of Energy General Mills for Leadership and Innovation at Iowa Plant Energy Department Recognizes General Mills for Leadership and Innovation at Iowa Plant October 13, 2015 - 2:38pm Addthis As part of the Obama Administration's effort to cut climate-changing carbon emissions produced by the nation's buildings and manufacturing plants, today the U.S. Department of Energy (DOE) recognized General Mills, one of the world's leading food companies, for its leadership in

  6. East Millinocket Mill Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

    Mill Sector Biomass Location Penobscot County, Maine Coordinates 45.3230777, -68.5806727 Show Map Loading map... "minzoom":false,"mappingservice":"googlemaps3","type"...

  7. Cedar Mill, Oregon: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Mill, Oregon: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 45.5048397, -122.7984325 Show Map Loading map... "minzoom":false,"mappingservice"...

  8. Nahar Spinning Mills Ltd NSML | Open Energy Information

    Open Energy Info (EERE)

    (NSML) Place: Ludhiana, Punjab, India Zip: 141 003 Product: Ludhiana-based spinning mill with cogeneration activities. Coordinates: 30.89314, 75.86938 Show Map Loading...

  9. Moab Mill Tailings Removal Project Plans to Resume Train Shipments...

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

    Tons of Mill Tailings Removed From DOE Moab Project Site Laborers place a disposable liner in a tailings container. Moab Project Continues Progress on Tailings Removal with...

  10. Influence of Airflow on Laboratory Storage of High Moisture Corn Stover

    SciTech Connect (OSTI)

    Lynn M. Wendt; Ian J. Bonner; Amber N. Hoover; Rachel M. Emerson; William A. Smith

    2014-04-01

    Storing high moisture biomass for bioenergy use is a reality in many areas of the country where wet harvest conditions and environmental factors prevent dry storage from being feasible. Aerobic storage of high moisture biomass leads to microbial degradation and self-heating, but oxygen limitation can aid in material preservation. To understand the influence of oxygen presence on high moisture biomass (50 %, wet basis), three airflow rates were tested on corn stover stored in laboratory reactors. Temperature, carbon dioxide production, dry matter loss, chemical composition, fungal abundance, pH, and organic acids were used to monitor the effects of airflow on storage conditions. The results of this work indicate that oxygen availability impacts both the duration of self-heating and the severity of dry matter loss. High airflow systems experienced the greatest initial rates of loss but a shortened microbially active period that limited total dry matter loss (19 %). Intermediate airflow had improved preservation in short-term storage compared to high airflow systems but accumulated the greatest dry matter loss over time (up to 27 %) as a result of an extended microbially active period. Low airflow systems displayed the best performance with the lowest rates of loss and total loss (10 %) in storage at 50 days. Total structural sugar levels of the stored material were preserved, although glucan enrichment and xylan loss were documented in the high and intermediate flow conditions. By understanding the role of oxygen availability on biomass storage performance, the requirements for high moisture storage solutions may begin to be experimentally defined.

  11. Engineering assessment of inactive uranium mill tailings

    SciTech Connect (OSTI)

    Not Available

    1981-07-01

    The Grand Junction site has been reevaluated in order to revise the October 1977 engineering assessment of the problems resulting from the existence of radioactive uranium mill tailings at Grand Junction, Colorado. This engineering assessment has included the preparation of topographic maps, the performance of core drillings and radiometric measurements sufficient to determine areas and volumes of tailings and radiation exposures of individuals and nearby populations, the investigations of site hydrology and meteorology, and the evaluation and costing of alternative corrective actions. Radon gas released from the 1.9 million tons of tailings at the Grand Junction site constitutes the most significant environmental impact, although windblown tailings and external gamma radiation are also factors. The eight alternative actions presented herein range from millsite and off-site decontamination with the addition of 3 m of stabilization cover material (Option I), to removal of the tailings to remote disposal sites and decontamination of the tailings site (Options II through VIII). Cost estimates for the eight options range from about $10,200,000 for stabilization in-place to about $39,500,000 for disposal in the DeBeque area, at a distance of about 35 mi, using transportation by rail. If transportation to DeBeque were by truck, the cost estimated to be about $41,900,000. Three principal alternatives for the reprocessing of the Grand Junction tailings were examined: (a) heap leaching; (b) treatment at an existing mill; and (c) reprocessing at a new conventional mill constructed for tailings reprocessing. The cost of the uranium recovered would be about $200/lb by heap leach and $150/lb by conventional plant processes. The spot market price for uranium was $25/lb early in 1981. Therefore, reprocessing the tailings for uranium recovery appears not to be economically attractive.

  12. The Bowersock Mills and Power Company 1874

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

    Incremental Hydroelectric Energy The Bowersock Mills and Power Co., Lawrence, KS Hydroelectric Energy Potential for U.S. BMPC Plant At Forefront of Development Curve "In our estimates we have about 70 GW of additional hydro which would have minimal impact; and so where does this come from? It comes from putting in better turbines in existing dams, it comes from run-of-the-river turbines that don't create the minimal environmental impact and it comes from using water storage that was made

  13. Wet Chemical Compositional and Near IR Spectra Data Sets for...

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

    Like This Return to Search Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass National Renewable Energy Laboratory Contact NREL About This Technology Technology...

  14. Wet Gasification of Ethanol Residue: A Preliminary Assessment

    SciTech Connect (OSTI)

    Brown, Michael D.; Elliott, Douglas C.

    2008-09-22

    A preliminary technoeconomic assessment has been made of several options for the application of catalytic hydrothermal gasification (wet gasification) to ethanol processing residues.

  15. New Mexico Natural Gas Wet After Lease Separation, Reserves in...

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

    After Lease Separation, Reserves in Nonproducing Reservoirs (Billion Cubic Feet) New Mexico Natural Gas Wet After Lease Separation, Reserves in Nonproducing Reservoirs (Billion...

  16. ,"New Mexico Nonassociated Natural Gas Proved Reserves, Wet After...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Nonassociated Natural Gas Proved Reserves, Wet After Lease Separation",10,"Annual",201...

  17. Challenges and Opportunities for Wet-Waste Feedstocks - Resource...

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

    Challenges and Opportunities for Wet-Waste Feedstocks - Resource Assessment Breakout Session 2-C: Biogas and Beyond: Challenges and Opportunities for Advanced Biofuels from ...

  18. ,"Texas - RRC District 9 Associated-Dissolved Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 9 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  19. ,"Texas - RRC District 9 Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 9 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  20. ,"Texas - RRC District 6 Associated-Dissolved Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 6 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  1. ,"Texas - RRC District 10 Nonassociated Natural Gas, Wet After...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 10 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  2. ,"Texas - RRC District 1 Associated-Dissolved Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 1 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  3. ,"Texas - RRC District 5 Associated-Dissolved Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 5 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  4. ,"Texas - RRC District 7C Nonassociated Natural Gas, Wet After...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7C Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  5. ,"Texas - RRC District 5 Nonassociated Natural Gas, Wet After...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 5 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  6. ,"Texas - RRC District 3 Onshore Nonassociated Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 3 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  7. ,"Texas - RRC District 2 Onshore Nonassociated Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 2 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  8. ,"Texas - RRC District 6 Nonassociated Natural Gas, Wet After...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 6 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  9. ,"Texas - RRC District 1 Nonassociated Natural Gas, Wet After...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 1 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  10. ,"Texas - RRC District 1 Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 1 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  11. ,"Texas - RRC District 7B Nonassociated Natural Gas, Wet After...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7B Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  12. ,"Texas - RRC District 3 Onshore Natural Gas, Wet After Lease...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 3 Onshore Natural Gas, Wet After Lease Separation Proved Reserves...

  13. ,"Texas - RRC District 6 Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 6 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  14. ,"Texas Nonassociated Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic...

  15. ,"Texas - RRC District 8 Nonassociated Natural Gas, Wet After...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  16. ,"Texas - RRC District 10 Associated-Dissolved Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 10 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  17. ,"Texas - RRC District 8 Associated-Dissolved Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  18. ,"Texas - RRC District 4 Onshore Natural Gas, Wet After Lease...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 4 Onshore Natural Gas, Wet After Lease Separation Proved Reserves...

  19. ,"Texas - RRC District 5 Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 5 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  20. ,"Texas Associated-Dissolved Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion...

  1. ,"Texas - RRC District 9 Nonassociated Natural Gas, Wet After...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 9 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  2. ,"Texas Natural Gas, Wet After Lease Separation Proved Reserves...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  3. ,"Texas - RRC District 8A Nonassociated Natural Gas, Wet After...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8A Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  4. ,"Texas - RRC District 4 Onshore Nonassociated Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 4 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  5. ,"Texas - RRC District 8 Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  6. ,"Texas - RRC District 10 Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 10 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  7. ,"West Virginia Natural Gas, Wet After Lease Separation Proved...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  8. ,"West Virginia Associated-Dissolved Natural Gas, Wet After Lease...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves...

  9. ,"West Virginia Nonassociated Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves...

  10. Observation of Ordered Structures in Counterion Layers near Wet...

    Office of Scientific and Technical Information (OSTI)

    Observation of Ordered Structures in Counterion Layers near Wet Charged Surfaces: A Potential Mechanism for Charge Inversion Citation Details In-Document Search Title: Observation ...

  11. ,"California State Offshore Natural Gas, Wet After Lease Separation...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  12. ,"California State Offshore Nonassociated Natural Gas, Wet After...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves...

  13. ,"Louisiana State Offshore Nonassociated Natural Gas, Wet After...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves...

  14. ,"Louisiana State Offshore Natural Gas, Wet After Lease Separation...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  15. ,"Texas State Offshore Nonassociated Natural Gas, Wet After Lease...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves...

  16. ,"Texas State Offshore Natural Gas, Wet After Lease Separation...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  17. ,"Texas State Offshore Associated-Dissolved Natural Gas, Wet...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas State Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves...

  18. ,"New York Natural Gas, Wet After Lease Separation Proved Reserves...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  19. ,"New York Nonassociated Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion...

  20. ,"New York Associated-Dissolved Natural Gas, Wet After Lease...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves...

  1. W.E.T. Automotive Systems | Open Energy Information

    Open Energy Info (EERE)

    E.T. Automotive Systems Jump to: navigation, search Name: W.E.T. Automotive Systems Place: Odelzhausen, Germany Information About Partnership with NREL Partnership with NREL Yes...

  2. Kinetics of wet sodium vapor complex plasma

    SciTech Connect (OSTI)

    Mishra, S. K., E-mail: nishfeb@rediffmail.com [Institute for Plasma Research (IPR), Gandhinagar 382428 (India); Sodha, M. S. [Centre of Energy Studies, Indian Institute of Technology Delhi (IITD), New Delhi 110016 (India)] [Centre of Energy Studies, Indian Institute of Technology Delhi (IITD), New Delhi 110016 (India)

    2014-04-15

    In this paper, we have investigated the kinetics of wet (partially condensed) Sodium vapor, which comprises of electrons, ions, neutral atoms, and Sodium droplets (i) in thermal equilibrium and (ii) when irradiated by light. The formulation includes the balance of charge over the droplets, number balance of the plasma constituents, and energy balance of the electrons. In order to evaluate the droplet charge, a phenomenon for de-charging of the droplets, viz., evaporation of positive Sodium ions from the surface has been considered in addition to electron emission and electron/ion accretion. The analysis has been utilized to evaluate the steady state parameters of such complex plasmas (i) in thermal equilibrium and (ii) when irradiated; the results have been graphically illustrated. As a significant outcome irradiated, Sodium droplets are seen to acquire large positive potential, with consequent enhancement in the electron density.

  3. Owens Corning and Silicon Valley Power Partner to Make Energy Savings a

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

    Reality | Department of Energy Owens Corning and Silicon Valley Power Partner to Make Energy Savings a Reality Owens Corning and Silicon Valley Power Partner to Make Energy Savings a Reality This case study describes how the Owens Corning plant in Santa Clara, California, used DOE energy assessments and Silicon Valley Power utility incentives to save $252,000 annually through plant-wide improvements. PDF icon Owens Corning and Silicon Valley Power Partner to Make Energy Savings a Reality

  4. Understanding the Impact of Higher Corn Prices on Consumer Food Prices

    SciTech Connect (OSTI)

    None

    2007-04-18

    In an effort to assess the true effects of higher corn prices, the National Corn Growers Association (NCGA) commissioned an analysis on the impact of increased corn prices on retail food prices. This paper summarizes key results of the study and offers additional analysis based on information from a variety of other sources.

  5. Method for wetting a boron alloy to graphite

    DOE Patents [OSTI]

    Storms, E.K.

    1987-08-21

    A method is provided for wetting a graphite substrate and spreading a a boron alloy over the substrate. The wetted substrate may be in the form of a needle for an effective ion emission source. The method may also be used to wet a graphite substrate for subsequent joining with another graphite substrate or other metal, or to form a protective coating over a graphite substrate. A noneutectic alloy of boron is formed with a metal selected from the group consisting of nickel (Ni), palladium (Pd), and platinum (Pt) with excess boron, i.e., and atomic percentage of boron effective to precipitate boron at a wetting temperature of less than the liquid-phase boundary temperature of the alloy. The alloy is applied to the substrate and the graphite substrate is then heated to the wetting temperature and maintained at the wetting temperature for a time effective for the alloy to wet and spread over the substrate. The excess boron is evenly dispersed in the alloy and is readily available to promote the wetting and spreading action of the alloy. 1 fig.

  6. Spring Mills, Pennsylvania: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Spring Mills is a census-designated place in Centre County, Pennsylvania.1 References ...

  7. Mill City, Oregon: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    is a stub. You can help OpenEI by expanding it. Mill City is a city in Linn County and Marion County, Oregon. It falls under Oregon's 4th congressional district and Oregon's 5th...

  8. Kemp Mill, Maryland: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    stub. You can help OpenEI by expanding it. Kemp Mill is a census-designated place in Montgomery County, Maryland.1 References US Census Bureau 2005 Place to 2006 CBSA...

  9. Accelerated aging tests of liners for uranium mill tailings disposal

    SciTech Connect (OSTI)

    Barnes, S.M.; Buelt, J.L.; Hale, V.Q.

    1981-11-01

    This document describes the results of accelerated aging tests to determine the long-term effectiveness of selected impoundment liner materials in a uranium mill tailings environment. The study was sponsored by the US Department of Energy under the Uranium Mill Tailings Remedial Action Project. The study was designed to evaluate the need for, and the performance of, several candidate liners for isolating mill tailings leachate in conformance with proposed Environmental Protection Agency and Nuclear Regulatory Commission requirements. The liners were subjected to conditions known to accelerate the degradation mechanisms of the various liners. Also, a test environment was maintained that modeled the expected conditions at a mill tailings impoundment, including ground subsidence and the weight loading of tailings on the liners. A comparison of installation costs was also performed for the candidate liners. The laboratory testing and cost information prompted the selection of a catalytic airblown asphalt membrane and a sodium bentonite-amended soil for fiscal year 1981 field testing.

  10. Mill Valley, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Mill Valley is a city in Marin County, California. It falls under California's 6th...

  11. DOE Announces Preferred Alternatives For Moab, Utah, Uranium Mill Tailings

    Broader source: Energy.gov [DOE]

    WASHINGTON, DC – The U.S. Department of Energy today announced the department’s preferred alternatives for remediation of the Moab, Utah, Uranium Mill Tailings Remedial Action Project Site:  active...

  12. Anderson Mill, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Anderson Mill is a census-designated place in Travis County and Williamson County, Texas.1...

  13. Summer 2011 Intern Project- Carolyn Mills | Center for Energy Efficient

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

    Materials Carolyn Mills ELECTRICITY FROM HEAT: SYNTHESIS AND INVNESTIGATION OF INTERMETALLIC HETEROSTRUCTURES Carolyn Mills Chemical Engineering UC Santa Barbara Mentor: Christina Birkel Faculty Advisor: Galen Stucky Department: Chemistry and Biochemistry Thermoelectric materials have the ability to convert between thermal and electrical energies. However, to maximize ZT, the thermoelectric figure of merit, a material must have a high Seebeck coefficient and a high electrical conductivity

  14. Modelling and Development of a High Performance Milling Process with

    Office of Scientific and Technical Information (OSTI)

    Monolithic Cutting Tools (Journal Article) | SciTech Connect Modelling and Development of a High Performance Milling Process with Monolithic Cutting Tools Citation Details In-Document Search Title: Modelling and Development of a High Performance Milling Process with Monolithic Cutting Tools Critical aerospace components usually require difficult to machine workpiece materials like nickel based alloys. Moreover; there is a pressing need to maximize the productivity of machining operations.

  15. Monticello Mill Tailings Site Operable Unit III Annual Groundwater Report

    Office of Legacy Management (LM)

    3 Through April 2014 October 2014 LMS/MNT/S11802 This page intentionally left blank LMS/MNT/S11802 Monticello Mill Tailings Site Operable Unit III Annual Groundwater Report May 2013 through April 2014 October 2014 This page intentionally left blank U.S. Department of Energy Monticello Mill Tailings Site OU III Annual Groundwater Report May 2013-April 2014 October 2014 Doc. No. S11802 Page i Contents Abbreviations

  16. Biomass Burner Cogenerates Jobs and Electricity from Lumber Mill Waste |

    Energy Savers [EERE]

    Department of Energy Burner Cogenerates Jobs and Electricity from Lumber Mill Waste Biomass Burner Cogenerates Jobs and Electricity from Lumber Mill Waste December 6, 2011 - 3:57pm Addthis Dale and Sharon Borgford, small business owners in Stevens County, WA, break ground with Peter Goldmark, Washington State Commissioner of Public Lands. The pair brought more than 75 jobs to the area with help from DOE's State Energy Program and the U.S. Forest Service. | Photo courtesy of Washington DNR.

  17. DOE - Office of Legacy Management -- Loma Mill - CO 03

    Office of Legacy Management (LM)

    Loma Mill - CO 03 FUSRAP Considered Sites Site: Loma Mill (CO.03 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: This site is one of a group of 77 FUSRAP considered sites for which few, if any records are available in their respective site files to provide an historical account of past operations and their relationship, if any, with MED/AEC

  18. DOE - Office of Legacy Management -- Cincinnati Milling and Machining Co -

    Office of Legacy Management (LM)

    OH 25 Cincinnati Milling and Machining Co - OH 25 FUSRAP Considered Sites Site: Cincinnati Milling & Machining Co. (OH.25 ) Eliminated from consideration under FUSRAP - Referred to NRC Designated Name: Not Designated Alternate Name: None Location: Cincinnati , Ohio OH.25-1 Evaluation Year: 1990 OH.25-2 OH.25-3 Site Operations: Performed research and development concerning electro-chemical machining units in the 1960s. OH.25-1 Site Disposition: Eliminated - Potential for contamination

  19. DOE - Office of Legacy Management -- Ambrosia Lake Mill Site - NM 0-01

    Office of Legacy Management (LM)

    Ambrosia Lake Mill Site - NM 0-01 FUSRAP Considered Sites Site: Ambrosia Lake Mill Site (NM.0-01) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Ambrosia Lake Mill Site Documents Related to Ambrosia Lake Mill Site 2014 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal

  20. Technology Maturation Plan (TMP) Wet Air Oxidation (WAO) Technology...

    Office of Environmental Management (EM)

    ... Design flow rate was 12 gpm. The reactors were operated at 7 LWO-SPT-2007-00084 - Davis, ... Wet Air Oxidation (WAO) Plant at Texas Molecular Site, Deerpark, TX, Revision 0, ...

  1. MHK Technologies/WET EnGen | Open Energy Information

    Open Energy Info (EERE)

    Test of Wave Energy Technologies Moored Floating WET EnGen: Regular and Irregular Waves. TR-2009-13, Fraser Winsor and Emile Baddour, June 2009. Date Submitted 1082010 << Return...

  2. Compressed Air System Optimization Saves Energy and Improves Production at a Textile Manufacturing Mill (Peerless Division, Thomastown Mills, Inc.)

    SciTech Connect (OSTI)

    2001-06-01

    This case study is one in a series on industrial firms who are implementing energy efficient technologies and system improvements into their manufacturing processes. This case study documents the activities, savings, and lessons learned on the textile manufacturing mill project.

  3. Texas - RRC District 2 Onshore Natural Gas, Wet After Lease Separation...

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 2 Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)...

  4. Texas - RRC District 7B Natural Gas, Wet After Lease Separation...

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 7B Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  5. Texas - RRC District 4 Onshore Natural Gas, Wet After Lease Separation...

    Gasoline and Diesel Fuel Update (EIA)

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 4 Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)...

  6. Texas - RRC District 3 Onshore Natural Gas, Wet After Lease Separation...

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 3 Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)...

  7. Texas - RRC District 7C Natural Gas, Wet After Lease Separation...

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 7C Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  8. New York Associated-Dissolved Natural Gas, Wet After Lease Separation...

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

    Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New York Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves...

  9. Impact of Sequential Ammonia Fiber Expansion (AFEX) Pretreatment and Pelletization on the Moisture Sorption Properties of Corn Stover

    SciTech Connect (OSTI)

    Bonner, Ian J.; Thompson, David N.; Teymouri, Farzaneh; Campbell, Timothy; Bals, Bryan; Tumuluru, Jaya Shankar

    2015-05-01

    Combining ammonia fiber expansion (AFEX) pretreatment with a depot processing facility is a promising option for delivering high-value densified biomass to the emerging bioenergy industry. However, because the pretreatment process results in a high moisture material unsuitable for pelleting or storage (40% wet basis), the biomass must be immediately dried. If AFEX pretreatment results in a material that is difficult to dry, the economics of this already costly operation would be at risk. This work tests the nature of moisture sorption isotherms and thin-layer drying behavior of corn (Zea mays L.) stover at 20C to 60C before and after sequential AFEX pretreatment and pelletization to determine whether any negative impacts to material drying or storage may result from the AFEX process. The equilibrium moisture content to equilibrium relative humidity relationship for each of the materials was determined using dynamic vapor sorption isotherms and modeled with modified Chung-Pfost, modified Halsey, and modified Henderson temperature-dependent models as well as the Double Log Polynomial (DLP), Peleg, and Guggenheim Anderson de Boer (GAB) temperature-independent models. Drying kinetics were quantified under thin-layer laboratory testing and modeled using the Modified Page's equation. Water activity isotherms for non-pelleted biomass were best modeled with the Peleg temperature-independent equation while isotherms for the pelleted biomass were best modeled with the Double Log Polynomial equation. Thin-layer drying results were accurately modeled with the Modified Page's equation. The results of this work indicate that AFEX pretreatment results in drying properties more favorable than or equal to that of raw corn stover, and pellets of superior physical stability in storage.

  10. Nebraska Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) No Data Available For This Series - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Associated-Dissolved Natural Gas Proved Reserves, Wet After Lease Separation, as of Dec. 31 Nebraska Associated-Dissolved Natural

  11. Nebraska Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Nebraska Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) No Data Available For This Series - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Nonassociated Natural Gas Proved Reserves,

  12. Observation of Ordered Structures in Counterion Layers near Wet Charged

    Office of Scientific and Technical Information (OSTI)

    Surfaces: A Potential Mechanism for Charge Inversion (Journal Article) | SciTech Connect Observation of Ordered Structures in Counterion Layers near Wet Charged Surfaces: A Potential Mechanism for Charge Inversion Citation Details In-Document Search Title: Observation of Ordered Structures in Counterion Layers near Wet Charged Surfaces: A Potential Mechanism for Charge Inversion Authors: Miller, Mitchell ; Chu, Miaoqi ; Lin, Binhua ; Meron, Mati ; Dutta, Pulak [1] ; NWU) [2] + Show Author

  13. Gene Controls Flowering Time in Corn - Energy Innovation Portal

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

    Gene Controls Flowering Time in Corn Great Lakes Bioenergy Research Center Contact GLBRC About This Technology Technology Marketing Summary Plant development is marked by three phases: juvenile, adult vegetative and flowering. The timing between phases is known to impact traits like yield, productivity and tissue digestibility. However, the genetic triggers that drive these phase changes are not fully understood. UW-Madison researchers previously identified a gene in maize that helps control the

  14. Louisiana Blue Ribbon Commission on Bayou Corne Safety

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

    Blue Ribbon Commission on Bayou Corne Safety - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste

  15. Vertical distribution of structural components in corn stover

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Johnson, Jane M. F.; Karlen, Douglas L.; Gresham, Garold L.; Cantrell, Keri B.; Archer, David W.; Wienhold, Brian J.; Varvel, Gary E.; Laird, David A.; Baker, John; Ochsner, Tyson E.; et al

    2014-11-17

    In the United States, corn (Zea mays L.) stover has been targeted for second generation fuel production and other bio-products. Our objective was to characterize sugar and structural composition as a function of vertical distribution of corn stover (leaves and stalk) that was sampled at physiological maturity and about three weeks later from multiple USA locations. A small subset of samples was assessed for thermochemical composition. Concentrations of lignin, glucan, and xylan were about 10% greater at grain harvest than at physiological maturity, but harvestable biomass was about 25% less due to stalk breakage. Gross heating density above the earmore » averaged 16.3 ± 0.40 MJ kg⁻¹, but with an alkalinity measure of 0.83 g MJ⁻¹, slagging is likely to occur during gasification. Assuming a stover harvest height of 10 cm, the estimated ethanol yield would be >2500 L ha⁻¹, but it would be only 1000 L ha⁻¹ if stover harvest was restricted to the material from above the primary ear. Vertical composition of corn stover is relatively uniform; thus, decision on cutting height may be driven by agronomic, economic and environmental considerations.« less

  16. Vertical distribution of structural components in corn stover

    SciTech Connect (OSTI)

    Johnson, Jane M. F.; Karlen, Douglas L.; Gresham, Garold L.; Cantrell, Keri B.; Archer, David W.; Wienhold, Brian J.; Varvel, Gary E.; Laird, David A.; Baker, John; Ochsner, Tyson E.; Novak, Jeff M.; Halvorson, Ardell D.; Arriaga, Francisco; Lightle, David T.; Hoover, Amber; Emerson, Rachel; Barbour, Nancy W.

    2014-11-17

    In the United States, corn (Zea mays L.) stover has been targeted for second generation fuel production and other bio-products. Our objective was to characterize sugar and structural composition as a function of vertical distribution of corn stover (leaves and stalk) that was sampled at physiological maturity and about three weeks later from multiple USA locations. A small subset of samples was assessed for thermochemical composition. Concentrations of lignin, glucan, and xylan were about 10% greater at grain harvest than at physiological maturity, but harvestable biomass was about 25% less due to stalk breakage. Gross heating density above the ear averaged 16.3 0.40 MJ kg?, but with an alkalinity measure of 0.83 g MJ?, slagging is likely to occur during gasification. Assuming a stover harvest height of 10 cm, the estimated ethanol yield would be >2500 L ha?, but it would be only 1000 L ha? if stover harvest was restricted to the material from above the primary ear. Vertical composition of corn stover is relatively uniform; thus, decision on cutting height may be driven by agronomic, economic and environmental considerations.

  17. Vertical distribution of structural components in corn stover

    SciTech Connect (OSTI)

    Jane M. F. Johnson; Douglas L. Karlen; Garold L. Gresham; Keri B. Cantrell; David W. Archer; Brian J. Wienhold; Gary E. Varvel; David A. Laird; John Baker; Tyson E. Ochsner; Jeff M. Novak; Ardell D. Halvorson; Francisco Arriaga; David T. Lightle; Amber Hoover; Rachel Emerson; Nancy W. Barbour

    2014-11-01

    In the United States, corn (Zea mays L.) stover has been targeted for second generation fuel production and other bio-products. Our objective was to characterize sugar and structural composition as a function of vertical distribution of corn stover (leaves and stalk) that was sampled at physiological maturity and about three weeks later from multiple USA locations. A small subset of samples was assessed for thermochemical composition. Concentrations of lignin, glucan, and xylan were about 10% greater at grain harvest than at physiological maturity, but harvestable biomass was about 25% less due to stalk breakage. Gross heating density above the ear averaged 16.3 0.40 MJ kg?, but with an alkalinity measure of 0.83 g MJ?, slagging is likely to occur during gasification. Assuming a stover harvest height of 10 cm, the estimated ethanol yield would be >2500 L ha?, but it would be only 1000 L ha? if stover harvest was restricted to the material from above the primary ear. Vertical composition of corn stover is relatively uniform; thus, decision on cutting height may be driven by agronomic, economic and environmental considerations.

  18. Analyzing the performance of diamond-coated micro end mills.

    SciTech Connect (OSTI)

    Torres, C. D.; Heaney, P. J.; Sumant, A. V.; Hamilton, M. A.; Carpick, R. W.; Pfefferkorn, F. E.; Univ. of Wisconsin at Madison; Univ. of Pennsylvania

    2009-06-01

    A method is presented to improve the tool life and cutting performance of 300 {micro}m diameter tungsten carbide (WC) micro end mills by applying thin (<300 nm) fine-grained diamond (FGD) and nanocrystalline diamond (NCD) coatings using the hot-filament chemical vapor deposition (HF-CVD) process. The performance of the diamond-coated tools has been evaluated by comparing their performance in dry slot milling of 6061-T6 aluminum against uncoated WC micro end mills. Tool wear, coating integrity, and chip morphology were characterized using SEM and white light interferometry. The initial test results show a dramatic improvement in the tool integrity (i.e., corners not breaking off), a lower wear rate, no observable adhesion of aluminum to the diamond-coated tool, and a significant reduction in the cutting forces (>50%). Reduction of the cutting forces is attributed to the low friction and adhesion of the diamond coating. However, approximately 80% of the tools coated with the larger FGD coatings failed during testing due to delamination. Additional machining benefits were attained for the NCD films, which was obtained by using a higher nucleation density seeding process for diamond growth. This process allowed for thinner, smaller grained diamond coatings to be deposited on the micro end mills, and enabled continued operation of the tool even after the integrity of the diamond coating had been compromised. As opposed to the FGD-coated end mills, only 40% of the NCD-tools experienced delamination issues.

  19. Techno-economic analysis of using corn stover to supply heat and power to a corn ethanol plant - Part 2: Cost of heat and power generation systems

    SciTech Connect (OSTI)

    Mani, Sudhagar; Sokhansanj, Shahabaddine; Togore, Sam; Turhollow Jr, Anthony F

    2010-03-01

    This paper presents a techno-economic analysis of corn stover fired process heating (PH) and the combined heat and power (CHP) generation systems for a typical corn ethanol plant (ethanol production capacity of 170 dam3). Discounted cash flow method was used to estimate both the capital and operating costs of each system and compared with the existing natural gas fired heating system. Environmental impact assessment of using corn stover, coal and natural gas in the heat and/or power generation systems was also evaluated. Coal fired process heating (PH) system had the lowest annual operating cost due to the low fuel cost, but had the highest environmental and human toxicity impacts. The proposed combined heat and power (CHP) generation system required about 137 Gg of corn stover to generate 9.5 MW of electricity and 52.3 MW of process heat with an overall CHP efficiency of 83.3%. Stover fired CHP system would generate an annual savings of 3.6 M$ with an payback period of 6 y. Economics of the coal fired CHP system was very attractive compared to the stover fired CHP system due to lower fuel cost. But the greenhouse gas emissions per Mg of fuel for the coal fired CHP system was 32 times higher than that of stover fired CHP system. Corn stover fired heat and power generation system for a corn ethanol plant can improve the net energy balance and add environmental benefits to the corn to ethanol biorefinery.

  20. Particle size and shape distributions of hammer milled pine

    SciTech Connect (OSTI)

    Westover, Tyler Lott; Matthews, Austin Colter; Williams, Christopher Luke; Ryan, John Chadron Benjamin

    2015-04-01

    Particle size and shape distributions impact particle heating rates and diffusion of volatized gases out of particles during fast pyrolysis conversion, and consequently must be modeled accurately in order for computational pyrolysis models to produce reliable results for bulk solid materials. For this milestone, lodge pole pine chips were ground using a Thomas-Wiley #4 mill using two screen sizes in order to produce two representative materials that are suitable for fast pyrolysis. For the first material, a 6 mm screen was employed in the mill and for the second material, a 3 mm screen was employed in the mill. Both materials were subjected to RoTap sieve analysis, and the distributions of the particle sizes and shapes were determined using digital image analysis. The results of the physical analysis will be fed into computational pyrolysis simulations to create models of materials with realistic particle size and shape distributions. This milestone was met on schedule.

  1. Fermentation and chemical treatment of pulp and paper mill sludge

    DOE Patents [OSTI]

    Lee, Yoon Y; Wang, Wei; Kang, Li

    2014-12-02

    A method of chemically treating partially de-ashed pulp and/or paper mill sludge to obtain products of value comprising taking a sample of primary sludge from a Kraft paper mill process, partially de-ashing the primary sludge by physical means, and further treating the primary sludge to obtain the products of value, including further treating the resulting sludge and using the resulting sludge as a substrate to produce cellulase in an efficient manner using the resulting sludge as the only carbon source and mixtures of inorganic salts as the primary nitrogen source, and including further treating the resulting sludge and using the resulting sludge to produce ethanol.

  2. Milling of Sand Blocks to Make Casting Moulds

    SciTech Connect (OSTI)

    Lopez de Lacalle, L. N.; Rodriguez, A.; Lamikiz, A.; Penafiel, F. J. [Department of Mechanical Engineering, University of the Basque Country, ETSII, c/Alameda de Urquijo s/n, 48013 Bilbao (Spain)

    2011-01-17

    In this paper a full procedure to make moulds in sand for direct casting of metallic parts is presented. The technology aims at unique pieces or art pieces, where only one prototype or components is required, but lead times are much reduced. The key of the procedure is to achieve enough tool life when milling with carbide tools, avoiding the risk of sand destruction or damage.The use of inverse techniques is a common input due to the industrial sectors where the direct milling is interesting. Two examples of moulds are presented, evaluating times and costs. A special study of tool wear is also presented.

  3. DOE Awards Technical Assistance Contract for Moab Mill Tailings Cleanup |

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

    Department of Energy Technical Assistance Contract for Moab Mill Tailings Cleanup DOE Awards Technical Assistance Contract for Moab Mill Tailings Cleanup May 31, 2012 - 12:00pm Addthis Media Contact Bill Taylor bill.taylor@srs.gov 803-952-8564 Cincinnati-The U.S. Department of Energy (DOE) today announced the award of an $18 million small disadvantaged business contract with S&K Aerospace, LLC, of St. Ignatius, Montana to continue to provide technical assistance services for the Moab

  4. Electro-osmotic transport in wet processing of textiles

    DOE Patents [OSTI]

    Cooper, J.F.

    1998-09-22

    Electro-osmotic (or electrokinetic) transport is used to efficiently force a solution (or water) through the interior of the fibers or yarns of textile materials for wet processing of textiles. The textile material is passed between electrodes that apply an electric field across the fabric. Used alone or in parallel with conventional hydraulic washing (forced convection), electro-osmotic transport greatly reduces the amount of water used in wet processing. The amount of water required to achieve a fixed level of rinsing of tint can be reduced, for example, to 1--5 lbs water per pound of fabric from an industry benchmark of 20 lbs water/lb fabric. 5 figs.

  5. Miscellaneous States Associated-Dissolved Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Miscellaneous States Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14 1980's 34 12 27 31 14 25 41 13 28 39 1990's 22 14 11 9 11 32 28 31 17 54 2000's 19 19 20 14 12 14 19 15 9 78 2010's 10 104 7 19 18 - = No

  6. Miscellaneous States Natural Gas, Wet After Lease Separation Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Miscellaneous States Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 156 1980's 180 193 74 81 77 77 136 66 84 87 1990's 72 76 93 96 67 69 68 44 39 67 2000's 42 83 100 134 110 132 139 241 272 349 2010's 363 393 233 188 185 - = No Data Reported; -- = Not Applicable; NA = Not Available;

  7. Miscellaneous States Nonassociated Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Miscellaneous States Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 142 1980's 146 181 47 50 63 52 95 53 56 48 1990's 50 62 82 87 56 37 40 13 22 13 2000's 23 64 80 120 98 118 120 226 263 271 2010's 353 270 219 169 167 - = No Data

  8. Mississippi Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Mississippi Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 67 1980's 73 66 74 80 114 105 66 61 71 105 1990's 126 108 85 53 43 27 47 51 47 31 2000's 35 26 33 27 20 20 21 30 45 38 2010's 36 62 62 43 58 - = No Data Reported; --

  9. Montana Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Montana Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 51 1980's 122 89 81 108 77 91 98 97 101 68 1990's 86 66 61 53 55 53 51 42 52 67 2000's 70 85 94 112 130 161 195 219 197 312 2010's 302 270 289 304 325 - = No Data

  10. Montana Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Montana Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 786 1980's 1,186 1,247 789 813 748 793 725 704 733 821 1990's 834 782 814 631 672 739 755 727 737 784 2000's 822 822 820 956 872 837 874 848 817 681 2010's 657 522 327 286 361 - = No Data

  11. Florida Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Florida Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 108 1980's 122 99 86 64 90 81 69 62 69 57 1990's 53 45 55 59 117 110 119 112 106 100 2000's 93 96 102 92 88 87 50 110 1 7 2010's 30 2 0 1 0 - = No Data Reported; -- =

  12. Florida Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Florida Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 108 1980's 122 99 86 64 90 81 69 62 69 57 1990's 53 45 55 59 117 110 119 112 106 100 2000's 93 96 102 92 88 87 50 110 1 7 2010's 56 6 16 15 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  13. Florida Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Florida Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 1980's 0 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 26 4 16 14 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  14. Kentucky Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Kentucky Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2 1980's 11 14 12 19 17 13 17 19 19 22 1990's 8 10 8 6 47 27 24 26 20 29 2000's 27 25 25 25 19 30 36 34 34 32 2010's 111 98 93 44 49 - = No Data Reported; -- = Not

  15. Louisiana - North Associated-Dissolved Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana - North Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 765 1980's 916 1,040 832 775 690 632 567 488 249 237 1990's 241 192 160 120 134 133 255 287 183 260 2000's 186 168 159 139 107 98 90 73 78 53

  16. Louisiana State Offshore Natural Gas, Wet After Lease Separation Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Louisiana State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,269 1,351 1,478 1,209 1,273 1990's 1,019 1,082 845 946 988 862 783 743 571 661 2000's 721 772 512 527 394 433 442 392 934 728 2010's 386 519 519 420 341 - = No Data Reported; -- = Not Applicable; NA = Not

  17. Louisiana State Offshore Nonassociated Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,820 1,100 1,218 1,002 1,042 1990's 812 875 691 789 820 714 626 613 473 541 2000's 592 627 428 448 333 370 386 327 248 215 2010's 279 468 391 332 273 - =

  18. Michigan Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Michigan Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 733 1980's 883 758 719 824 774 689 577 569 491 432 1990's 408 437 352 328 357 326 347 281 228 227 2000's 214 159 214 269 193 153 192 179 148 77 2010's 72 77 94 125 108

  19. Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 13 1980's 23 25 1990's 25 23 30 46 56 44 38 30 28 27 2000's 29 26 31 32 32 29 18 20 19 29 2010's 38 48 100 46 141 - = No Data Reported; -- = Not Applicable; NA = Not

  20. Arkansas Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Arkansas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 166 1980's 194 184 174 194 189 157 150 145 157 145 1990's 67 136 133 93 85 104 89 56 38 41 2000's 39 30 38 37 40 46 44 37 12 20 2010's 29 46 82 135 189 - = No Data

  1. California - Coastal Region Onshore Associated-Dissolved Natural Gas, Wet

    Gasoline and Diesel Fuel Update (EIA)

    After Lease Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California - Coastal Region Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 307 1980's 265 265 325 344 256 254 261 243 220 233 1990's 228 220 196 135 145 109 120 129 116 233 2000's 244 185 197

  2. California - Coastal Region Onshore Natural Gas, Wet After Lease Separation

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California - Coastal Region Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 395 1980's 330 325 384 405 284 277 275 255 232 238 1990's 232 231 215 201 205 163 168 176 118 233 2000's 244 185 197 174 196 277 214 212 151 169 2010's 180 173 305 284 277 - = No Data Reported;

  3. California - Coastal Region Onshore Nonassociated Natural Gas, Wet After

    Gasoline and Diesel Fuel Update (EIA)

    Lease Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California - Coastal Region Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 88 1980's 65 60 59 61 28 23 14 12 12 5 1990's 4 11 19 66 60 54 48 47 2 0 2000's 0 0 0 1 8 8 6 1 1 1 2010's 2 1 2 2 8 - = No Data

  4. California - Los Angeles Basin Onshore Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation Proved Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California - Los Angeles Basin Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 176 1980's 207 163 104 115 163 188 149 155 158 141 1990's 110 120 103 108 108 115 112 146 154 174 2000's 204 195 218 196 184 186 161 154 81 91 2010's 92 102 98 90 84 - = No Data

  5. California - Los Angeles Basin Onshore Nonassociated Natural Gas, Wet After

    Gasoline and Diesel Fuel Update (EIA)

    Lease Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California - Los Angeles Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1 1980's 0 1 1 1 1 3 0 0 0 0 1990's 0 0 3 0 0 0 0 3 1 0 2000's 1 1 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not

  6. California - San Joaquin Basin Onshore Nonassociated Natural Gas, Wet After

    Gasoline and Diesel Fuel Update (EIA)

    Lease Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California - San Joaquin Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,784 1980's 1,721 1,566 1,593 1,556 1,538 1,642 1,398 1,196 1,086 972 1990's 901 885 773 749 744 679 560 518 445 336 2000's 748 836

  7. California Federal Offshore Associated-Dissolved Natural Gas, Wet After

    Gasoline and Diesel Fuel Update (EIA)

    Lease Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California Federal Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 249 1980's 307 1,110 1,249 1,312 1,252 1990's 1,229 995 987 976 1,077 1,195 1,151 498 437 488 2000's 500 490 459 456 412 776 756

  8. California Federal Offshore Nonassociated Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California Federal Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 73 1980's 107 227 217 258 267 1990's 240 179 149 147 110 94 115 58 52 48 2000's 76 50 56 55 47 49 55 53 3 9 2010's 3 0 0 0 0 - = No Data Reported; -- =

  9. California Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,881 1980's 1,792 1,424 1,230 1,120 1,006 1990's 911 901 799 817 808 736 610 570 453 355 2000's 754 842 796 759 767 799 780 686 621 612 2010's 503 510 272 247 273 - = No Data Reported;

  10. California State Offshore Natural Gas, Wet After Lease Separation Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 234 1980's 166 256 254 243 235 1990's 194 60 63 65 63 59 49 56 44 77 2000's 91 85 91 83 87 90 90 83 57 57 2010's 66 82 66 75 76 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  11. California State Offshore Nonassociated Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 8 1980's 6 12 22 22 29 1990's 6 5 4 2 4 3 2 2 5 19 2000's 5 5 6 7 2 1 5 4 3 4 2010's 3 3 1 0 0 - = No Data Reported; -- = Not Applicable; NA = Not

  12. Electro-osmotic transport in wet processing of textiles

    DOE Patents [OSTI]

    Cooper, John F. (Oakland, CA)

    1998-01-01

    Electro-osmotic (or electrokinetic) transport is used to efficiently force a solution (or water) through the interior of the fibers or yarns of textile materials for wet processing of textiles. The textile material is passed between electrodes that apply an electric field across the fabric. Used alone or in parallel with conventional hydraulic washing (forced convection), electro-osmotic transport greatly reduces the amount of water used in wet processing. The amount of water required to achieve a fixed level of rinsing of tint can be reduced, for example, to 1-5 lbs water per pound of fabric from an industry benchmark of 20 lbs water/lb fabric.

  13. Texas - RRC District 9 Nonassociated Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 9 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 633 1980's 502 796 965 845 786 753 761 717 686 617 1990's 703 674 613 636 715 730 749 785 665 1,180 2000's 1,645 2,428 3,070 3,514 4,445 4,608 6,660 7,846

  14. Texas State Offshore Natural Gas, Wet After Lease Separation Proved

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

    Reserves (Billion Cubic Feet) Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,112 1,073 739 634 564 610 1990's 461 477 350 337 230 313 293 290 350 419 2000's 400 468 436 456 321 265 305 261 220 164 2010's 131 118 94 59 42 - = No Data Reported; -- = Not Applicable; NA = Not

  15. Texas State Offshore Nonassociated Natural Gas, Wet After Lease Separation,

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

    Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,087 1,049 715 624 544 591 1990's 444 469 343 333 227 306 287 280 345 413 2000's 399 466 431 450 312 262 304 258 215 161 2010's 128 113 88 56 42 - = No Data Reported; --

  16. North Dakota Natural Gas, Wet After Lease Separation Proved Reserves

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

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) North Dakota Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 485 1980's 594 654 696 673 643 650 610 578 593 625 1990's 650 533 567 585 568 518 512 531 501 475 2000's 487 495 524 497 465 508 539 572 603 1,213 2010's 1,869 2,652 3,974 6,081 6,787 - = No Data Reported; -- = Not Applicable; NA =

  17. North Dakota Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) North Dakota Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 284 1980's 355 401 448 416 376 319 317 302 327 312 1990's 316 290 301 311 293 255 257 274 240 225 2000's 223 225 209 181 145 165 182 155 119 143 2010's 152 141 105 91 45 - = No Data

  18. Ohio Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves

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

    (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Ohio Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 432 1980's 282 165 158 396 364 395 522 477 749 686 1990's 844 805 780 763 780 699 715 594 548 777 2000's 717 631 772 823 767 714 801 926 886 799 2010's 742 684 1,012 2,887 6,985 - = No Data Reported; --

  19. Pennsylvania Associated-Dissolved Natural Gas, Wet After Lease Separation,

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

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Pennsylvania Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 9 1980's 11 14 14 21 78 67 22 21 8 19 1990's 23 20 10 8 9 36 47 92 79 96 2000's 157 168 137 164 125 134 151 130 127 133 2010's 144 134 125 269 299 - = No Data

  20. Wyoming Associated-Dissolved Natural Gas, Wet After Lease Separation,

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

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Wyoming Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,038 1980's 1,374 1,228 1,060 959 867 710 691 691 616 581 1990's 573 572 624 502 611 879 824 850 794 713 2000's 652 488 561 450 362 384 347 365 223 362 2010's 334 318

  1. Longest-Serving Active Paper Mill in the Western United States...

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

    While the mill does not have a formal energy man- agement policy, energy efficiency is a strong priority. In the late 1990s the mill's steam load averaged nearly 200,000 lbshour....

  2. DOE - Office of Legacy Management -- Sylvania Corning Nuclear Corp Inc

    Office of Legacy Management (LM)

    Sylvania Laboratories - NY 07 Nuclear Corp Inc Sylvania Laboratories - NY 07 FUSRAP Considered Sites Site: SYLVANIA CORNING NUCLEAR CORP., INC., SYLVANIA LABORATORIES (NY.07) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: Sylvania Electric Products, Inc. NY.07-1 Location: 208-220 Willets Point Boulevard , Bayside, Long Island , New York NY.07-1 NY.07-2 NY.07-3 Evaluation Year: 1985 NY.07-4 NY.07-5 Site Operations: Conducted research and development

  3. DOE - Office of Legacy Management -- Sylvania Corning Plant - NY 19

    Office of Legacy Management (LM)

    Plant - NY 19 FUSRAP Considered Sites Sylvania-Corning, NY Alternate Name(s): Sylvania Electric Products, Inc. Sylvania Corp. NY.19-1 NY.19-4 Location: Cantiaque Road, Hicksville, Long Island, New York NY.19-5 Historical Operations: Pilot-scale production of powdered metal uranium slugs for AEC's Hanford reactor. NY.19-4 Eligibility Determination: Eligible Radiological Survey(s): Assessment Survey NY.19-3 Site Status: Cleanup in progress by U.S. Army Corps of Engineers. USACE Website Long-term

  4. Corn Ethanol Industry Process Data: September 27, 2007 - January 27, 2008

    SciTech Connect (OSTI)

    BBI International

    2009-02-01

    This subcontract report supplies timely data on the historical make-up of the corn ethanol industry and a current estimate of where the industry stands. The subcontractor has also reported on the expected future trends of the corn ethanol dry grind industry.

  5. DOE - Office of Legacy Management -- Gunnison Mill Site - CO 0-06

    Office of Legacy Management (LM)

    Gunnison Mill Site - CO 0-06 FUSRAP Considered Sites Site: Gunnison Mill Site (CO.0-06 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Gunnison, Colorado, Processing Site Documents Related to Gunnison Mill Site Baseline Risk Assessment of Groundwater Contamination at the Uranium Mill Tailings Site Near Gunnison, Colorado.

  6. DOE - Office of Legacy Management -- Maybell Mill Site - CO 0-07

    Office of Legacy Management (LM)

    Maybell Mill Site - CO 0-07 FUSRAP Considered Sites Site: Maybell Mill Site (CO.0-07) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Maybell, Colorado, Disposal Site Documents Related to Maybell Mill Site 2014 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites-Maybell,

  7. DOE - Office of Legacy Management -- Mexican Hat Mill Site - UT 0-02A

    Office of Legacy Management (LM)

    Mill Site - UT 0-02A FUSRAP Considered Sites Site: Mexican Hat Mill Site (UT.0-02A) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Mexican Hat, Utah, Disposal Site Documents Related to Mexican Hat Mill Site 2014 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites-Mexican

  8. DOE - Office of Legacy Management -- Slick Rock Mill Site - CO 08

    Office of Legacy Management (LM)

    Slick Rock Mill Site - CO 08 FUSRAP Considered Sites Site: Slick Rock Mill Site (CO.08) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Slick Rock, Colorado, Processing Site Documents Related to Slick Rock Mill Site 2014 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal

  9. DOE - Office of Legacy Management -- Tuba City Mill Site - AZ 0-02

    Office of Legacy Management (LM)

    Mill Site - AZ 0-02 FUSRAP Considered Sites Site: Tuba City Mill Site (AZ.0-02 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Tuba City, Arizona, Disposal Site Documents Related to Tuba City Mill Site 2014 Navajo Nation Five-Year Plan 2014 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act

  10. DOE - Office of Legacy Management -- Durango Mill Site - CO 0-05

    Office of Legacy Management (LM)

    Durango Mill Site - CO 0-05 FUSRAP Considered Sites Site: Durango Mill Site (CO.0-05 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Durango, Colorado, Processing Site Documents Related to Durango Mill Site 2005 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal

  11. DOE - Office of Legacy Management -- Lakeview Mill - OR 0-01

    Office of Legacy Management (LM)

    Lakeview Mill - OR 0-01 FUSRAP Considered Sites Site: Lakeview Mill (OR.0-01) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Lakeview, Oregon, Processing Site Documents Related to Lakeview Mill

  12. DOE - Office of Legacy Management -- Belfield Mill Site - ND 0-01

    Office of Legacy Management (LM)

    Belfield Mill Site - ND 0-01 FUSRAP Considered Sites Site: Belfield Mill Site (ND.0-01 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see http://www.em.doe.gov/SiteInfo/BelfieldAshingFacility.aspx Documents Related to Belfield Mill Site

  13. DOE - Office of Legacy Management -- Bowman Mill Site - ND 0-02

    Office of Legacy Management (LM)

    Bowman Mill Site - ND 0-02 FUSRAP Considered Sites Site: Bowman Mill Site (ND.0-02 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see http://www.em.doe.gov/SiteInfo/BowmanAshingFacility.aspx Documents Related to Bowman Mill Site

  14. Woolen mill captures exhaust to cut fuel costs

    SciTech Connect (OSTI)

    Not Available

    1986-02-01

    To keep ahead of growing competition, a northeast woolen mill sought a method of reducing fuel costs while increasing production. A counterflow-design plate heat exchanger was employed to recirculate dryer exhaust. It has cut propane consumption from 4900 to 2400 gallons a week while design modifications have doubled dryer speed. The heat recovery system is described.

  15. Boise Inc. St. Helens Paper Mill Achieves Significant Fuel Savings

    Broader source: Energy.gov [DOE]

    This case study describes how the Boise Inc. paper mill in St. Helens, Oregon, achieved annual savings of approximately 154,000 MMBtu and more than $1 million. This was accomplished after receiving a DOE energy assessment and implementing recommendations to improve the efficiency of its steam system.

  16. Perturbation Theory of Massive Yang-Mills Fields

    DOE R&D Accomplishments [OSTI]

    Veltman, M.

    1968-08-01

    Perturbation theory of massive Yang-Mills fields is investigated with the help of the Bell-Treiman transformation. Diagrams containing one closed loop are shown to be convergent if there are more than four external vector boson lines. The investigation presented does not exclude the possibility that the theory is renormalizable.

  17. Ash Reduction of Corn Stover by Mild Hydrothermal Preprocessing

    SciTech Connect (OSTI)

    M. Toufiq Reza; Rachel Emerson; M. Helal Uddin; Garold Gresham; Charles J. Coronella

    2014-04-22

    Lignocellulosic biomass such as corn stover can contain high ash content, which may act as an inhibitor in downstream conversion processes. Most of the structural ash in biomass is located in the cross-linked structure of lignin, which is mildly reactive in basic solutions. Four organic acids (formic, oxalic, tartaric, and citric) were evaluated for effectiveness in ash reduction, with limited success. Because of sodium citrates chelating and basic characteristics, it is effective in ash removal. More than 75 % of structural and 85 % of whole ash was removed from the biomass by treatment with 0.1 g of sodium citrate per gram of biomass at 130 C and 2.7 bar. FTIR, fiber analysis, and chemical analyses show that cellulose and hemicellulose were unaffected by the treatment. ICPAES showed that all inorganics measured were reduced within the biomass feedstock, except sodium due to the addition of Na through the treatment. Sodium citrate addition to the preconversion process of corn stover is an effective way to reduced physiological ash content of the feedstock without negatively impacting carbohydrate and lignin content.

  18. Effect of process variables on the density and durability of the pellets made from high moisture corn stover

    SciTech Connect (OSTI)

    Jaya Shankar Tumuluru

    2014-03-01

    A flat die pellet mill was used to understand the effect of high levels of feedstock moisture content in the range of 2838% (w.b.), with die rotational speeds of 4060 Hz, and preheating temperatures of 30110 C on the pelleting characteristics of 4.8 mm screen size ground corn stover using an 8 mm pellet die. The physical properties of the pelletised biomass studied are: (a) pellet moisture content, (b) unit, bulk and tapped density, and (c) durability. Pelletisation experiments were conducted based on central composite design. Analysis of variance (ANOVA) indicated that feedstock moisture content influenced all of the physical properties at P < 0.001. Pellet moisture content decreased with increase in preheating temperature to about 110 C and decreasing the feedstock moisture content to about 28% (w.b.). Response surface models developed for quality attributes with respect to process variables has adequately described the process with coefficient of determination (R2) values of >0.88. The other pellet quality attributes such as unit, bulk, tapped density, were maximised at feedstock moisture content of 3033% (w.b.), die speeds of >50 Hz and preheating temperature of >90 C. In case of durability a medium moisture content of 3334% (w.b.) and preheating temperatures of >70 C and higher die speeds >50 Hz resulted in high durable pellets. It can be concluded from the present study that feedstock moisture content, followed by preheating, and die rotational speed are the interacting process variables influencing pellet moisture content, unit, bulk and tapped density and durability.

  19. Development of a two-body wet abrasion test method with attention...

    Office of Scientific and Technical Information (OSTI)

    wet abrasion test method with attention to the effects of reused abradant Citation Details In-Document Search Title: Development of a two-body wet abrasion test method with ...

  20. Thermal Aging Study of a Dow Corning SE 1700 Porous Structure Made by

    Office of Scientific and Technical Information (OSTI)

    Direct Ink Writing: 1-Year Results and Long-Term Predictions (Technical Report) | SciTech Connect Technical Report: Thermal Aging Study of a Dow Corning SE 1700 Porous Structure Made by Direct Ink Writing: 1-Year Results and Long-Term Predictions Citation Details In-Document Search Title: Thermal Aging Study of a Dow Corning SE 1700 Porous Structure Made by Direct Ink Writing: 1-Year Results and Long-Term Predictions Dow Corning SE 1700 (reinforced polydimethylsiloxane) porous structures

  1. Grand Opening for Project LIBERTY: Nation's First Plant to Use Corn Waste

    Office of Environmental Management (EM)

    as a Feedstock | Department of Energy Grand Opening for Project LIBERTY: Nation's First Plant to Use Corn Waste as a Feedstock Grand Opening for Project LIBERTY: Nation's First Plant to Use Corn Waste as a Feedstock August 28, 2014 - 12:33pm Addthis POET-DSM's Project LIBERTY in Emmetsburg, Iowa, will celebrate its grand opening September 3, 2014, becoming the first commercial-scale cellulosic ethanol plant to use corn waste as a feedstock. Developed through a joint venture between POET LLC

  2. Wetting and free surface flow modeling for potting and encapsulation.

    SciTech Connect (OSTI)

    Brooks, Carlton, F.; Brooks, Michael J.; Graham, Alan Lyman; Noble, David F. ); Notz, Patrick K.; Hopkins, Matthew Morgan; Castaneda, Jaime N.; Mahoney, Leo James; Baer, Thomas A.; Berchtold, Kathryn; Adolf, Douglas Brian; Wilkes, Edward Dean; Rao, Rekha Ranjana; Givler, Richard C.; Sun, Amy Cha-Tien; Cote, Raymond O.; Mondy, Lisa Ann; Grillet, Anne Mary; Kraynik, Andrew Michael

    2007-06-01

    As part of an effort to reduce costs and improve quality control in encapsulation and potting processes the Technology Initiative Project ''Defect Free Manufacturing and Assembly'' has completed a computational modeling study of flows representative of those seen in these processes. Flow solutions are obtained using a coupled, finite-element-based, numerical method based on the GOMA/ARIA suite of Sandia flow solvers. The evolution of the free surface is solved with an advanced level set algorithm. This approach incorporates novel methods for representing surface tension and wetting forces that affect the evolution of the free surface. In addition, two commercially available codes, ProCAST and MOLDFLOW, are also used on geometries representing encapsulation processes at the Kansas City Plant. Visual observations of the flow in several geometries are recorded in the laboratory and compared to the models. Wetting properties for the materials in these experiments are measured using a unique flowthrough goniometer.

  3. Mississippi Natural Gas, Wet After Lease Separation Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Mississippi Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,511 1980's 1,776 2,042 1,803 1,603 1,496 1,364 1,304 1,223 1,146 1,108 1990's 1,129 1,061 873 800 653 667 634 583 662 681 2000's 620 663 746 748 692 758 816 958 1,035 922 2010's 858 868 612 600 563 - = No Data Reported; -- = Not

  4. Mississippi Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Mississippi Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,444 1980's 1,703 1,976 1,729 1,523 1,382 1,259 1,238 1,162 1,075 1,003 1990's 1,003 953 788 747 610 640 587 532 615 650 2000's 585 637 713 721 672 738 795 928 990 884 2010's 822 806

  5. Montana Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Montana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 837 1980's 1,308 1,336 870 921 825 884 823 801 834 889 1990's 920 848 875 684 727 792 806 769 789 851 2000's 892 907 914 1,068 1,002 998 1,069 1,067 1,014 993 2010's 959 792 616 590 686 - = No Data Reported; -- = Not Applicable; NA = Not

  6. Colorado Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Colorado Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,838 1980's 3,170 3,228 3,551 3,373 3,140 3,095 3,198 3,131 3,749 4,526 1990's 4,759 6,011 6,463 6,979 7,036 7,592 8,064 7,160 8,208 9,372 2000's 10,837 12,949 14,348 15,893 15,249 17,122 17,682 22,480 24,169 24,081 2010's 25,372 26,151 21,674

  7. Colorado Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Colorado Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,657 1980's 2,970 2,969 3,345 3,200 2,932 2,928 3,008 2,912 3,572 4,290 1990's 4,249 5,329 5,701 5,817 5,948 6,520 7,009 6,627 7,436 8,591 2000's 9,877 11,924 13,251 14,707 13,956 15,796

  8. Gulf of Mexico Federal Offshore - Texas Nonassociated Natural Gas, Wet

    Gasoline and Diesel Fuel Update (EIA)

    After Lease Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Gulf of Mexico Federal Offshore - Texas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6,411 6,191 6,956 6,739 6,745 6,504 1990's 6,884 6,305 6,353 6,138 5,739 5,674 5,240 4,799 4,452 4,507 2000's 5,030 5,404 4,967

  9. Kansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Kansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 10,824 1980's 10,065 10,443 10,128 10,183 9,981 9,844 11,093 11,089 10,530 10,509 1990's 10,004 9,946 10,302 9,872 9,705 9,093 8,145 7,328 6,862 6,248 2000's 5,682 5,460 5,329 5,143 5,003 4,598 4,197 4,248 3,795 3,500 2010's 3,937 3,747 3,557

  10. Kansas Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Kansas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 10,657 1980's 9,880 10,304 10,016 10,051 9,871 9,729 10,961 10,974 10,427 10,408 1990's 9,890 9,831 10,208 9,779 9,630 9,026 8,063 7,277 6,802 6,196 2000's 5,641 5,355 5,263 5,058 4,923 4,515

  11. Kentucky Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Kentucky Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 504 1980's 536 561 592 600 647 806 883 940 957 1,015 1990's 1,047 1,187 1,126 1,036 1,025 1,102 1,046 1,429 1,295 1,530 2000's 1,837 1,950 1,999 1,971 1,982 2,240 2,369 2,588 2,846 2,919 2010's 2,785 2,128 1,515 1,794 1,753 - = No Data Reported;

  12. Kentucky Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Kentucky Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 502 1980's 525 547 580 581 630 793 866 921 938 993 1990's 1,039 1,177 1,118 1,030 978 1,075 1,022 1,403 1,275 1,501 2000's 1,810 1,925 1,974 1,946 1,963 2,210 2,333 2,554 2,812 2,887 2010's

  13. Louisiana - North Natural Gas, Wet After Lease Separation Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Louisiana - North Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,869 1980's 3,160 3,358 2,988 3,008 2,546 2,650 2,567 2,350 2,442 2,705 1990's 2,640 2,435 2,363 2,376 2,599 2,863 3,189 3,156 2,943 3,127 2000's 3,344 3,927 4,283 5,137 5,841 6,768 6,795 6,437 7,966 17,273 2010's 26,136

  14. Louisiana - North Nonassociated Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) North Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana - North Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,104 1980's 2,244 2,318 2,156 2,233 1,856 2,018 2,000 1,862 2,193 2,468 1990's 2,399 2,243 2,203 2,256 2,465 2,730 2,934 2,869 2,760 2,867 2000's 3,158 3,759 4,124

  15. Louisiana - South Onshore Natural Gas, Wet After Lease Separation Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Louisiana - South Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14,580 1980's 13,407 13,049 12,153 11,553 10,650 10,120 9,416 9,024 8,969 8,934 1990's 8,492 7,846 7,019 6,219 6,558 6,166 6,105 6,137 5,966 5,858 2000's 5,447 5,341 4,395 3,874 3,557 3,478 3,473 3,463 2,916

  16. Louisiana - South Onshore Nonassociated Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana - South Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 12,276 1980's 11,273 11,178 10,364 9,971 9,162 8,328 7,843 7,644 7,631 7,661 1990's 7,386 6,851 6,166 5,570 5,880 5,446 5,478 5,538 5,336 5,259 2000's

  17. Louisiana Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,360 2,391 2,128 1,794 1,741 1990's 1,554 1,394 1,167 926 980 1,001 1,039 1,016 911 979 2000's 807 796 670 586 557 588 561 641 1,235 1,072 2010's 679 639 773 870 908

  18. Louisiana Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Louisiana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 19,676 13,334 12,852 12,620 12,912 1990's 12,151 11,363 10,227 9,541 10,145 9,891 10,077 10,036 9,480 9,646 2000's 9,512 10,040 9,190 9,538 9,792 10,679 10,710 10,292 11,816 20,970 2010's 29,517 30,545 22,135 20,389 23,258 - = No Data Reported;

  19. Louisiana Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 16,316 10,943 10,724 10,826 11,171 1990's 10,597 9,969 9,060 8,615 9,165 8,890 9,038 9,020 8,569 8,667 2000's 8,704 9,245 8,520 8,952 9,235 10,091 10,149 9,651 10,581 19,898 2010's 28,838

  20. Lower 48 States Nonassociated Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Lower 48 States Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 143,852 1980's 139,421 143,515 142,984 143,469 141,226 138,464 139,070 135,256 141,211 139,798 1990's 141,941 140,584 138,883 136,953 138,213 139,369 141,136 140,382 139,015

  1. Michigan Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Michigan Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 601 1980's 668 494 481 529 419 375 665 1,002 943 1,011 1990's 922 967 938 890 1,022 1,018 1,778 1,975 2,158 2,086 2000's 2,558 2,873 3,097 3,219 2,961 2,808 2,925 3,512 3,105 2,728 2010's

  2. Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 693 1980's 682 683 1990's 4,184 5,460 5,870 5,212 4,898 4,930 5,100 5,013 4,643 4,365 2000's 4,269 3,958 3,922 4,345 4,159 4,006 3,963 4,036 3,379 2,948 2010's 2,724 2,570 2,304 1,670 2,121 - = No Data Reported; -- = Not Applicable; NA = Not

  3. Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 680 1980's 659 658 1990's 4,159 5,437 5,840 5,166 4,842 4,886 5,062 4,983 4,615 4,338 2000's 4,241 3,931 3,891 4,313 4,127 3,977 3,945 4,016 3,360 2,919 2010's 2,686 2,522 2,204 1,624 1,980

  4. Alaska Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Alaska Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 32,275 1980's 33,395 33,049 35,002 34,291 34,476 34,223 33,355 33,715 9,179 9,019 1990's 9,393 9,653 9,725 9,986 9,813 9,575 9,296 10,673 10,043 9,855 2000's 9,331 8,901 8,533 8,348 8,473 8,237 10,333 12,022 7,766 9,183 2010's 8,917 9,511 9,667

  5. Alaska Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Alaska Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,058 1980's 4,828 4,373 4,188 3,883 4,120 3,131 2,462 2,983 2,910 2,821 1990's 2,466 2,924 3,002 3,492 3,326 3,310 3,216 2,957 2,768 2,646 2000's 2,564 2,309 2,157 2,081 2,004 1,875 1,447

  6. Arkansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Arkansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,725 1980's 1,796 1,821 1,974 2,081 2,240 2,032 2,011 2,018 2,000 1,782 1990's 1,739 1,672 1,752 1,555 1,610 1,566 1,472 1,479 1,332 1,546 2000's 1,584 1,619 1,654 1,666 1,837 1,967 2,271 3,306 5,628 10,872 2010's 14,181 16,374 11,039 13,524

  7. Arkansas Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Arkansas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,559 1980's 1,602 1,637 1,800 1,887 2,051 1,875 1,861 1,873 1,843 1,637 1990's 1,672 1,536 1,619 1,462 1,525 1,462 1,383 1,423 1,294 1,505 2000's 1,545 1,589 1,616 1,629 1,797 1,921 2,227

  8. California - San Joaquin Basin Onshore Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation Proved Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California - San Joaquin Basin Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4,037 1980's 4,434 4,230 4,058 3,964 3,808 3,716 3,404 3,229 3,033 2,899 1990's 2,775 2,703 2,511 2,425 2,130 2,018 1,864 2,012 2,016 2,021 2000's 2,413 2,298 2,190 2,116 2,306

  9. California Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,961 1980's 3,345 2,660 2,663 2,546 2,507 1990's 2,400 2,213 2,093 1,982 1,698 1,619 1,583 1,820 1,879 2,150 2000's 2,198 1,922 1,900 1,810 2,006 2,585 2,155 2,193

  10. California Federal Offshore Natural Gas, Wet After Lease Separation Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California Federal Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 322 1980's 414 1,337 1,466 1,570 1,519 1990's 1,469 1,174 1,136 1,123 1,187 1,289 1,266 556 489 536 2000's 576 540 515 511 459 825 811 805 705 740 2010's 725 711 652 264 243 - = No Data Reported; -- = Not

  11. California Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4,842 1980's 5,137 4,084 3,893 3,666 3,513 1990's 3,311 3,114 2,892 2,799 2,506 2,355 2,193 2,390 2,332 2,505 2000's 2,952 2,763 2,696 2,569 2,773 3,384 2,935 2,879 2,538 2,926 2010's 2,785 3,042 2,119 2,023 2,260 - = No Data Reported; -- =

  12. Colorado Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Colorado Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 181 1980's 200 259 206 173 208 167 190 219 177 236 1990's 510 682 762 1,162 1,088 1,072 1,055 533 772 781 2000's 960 1,025 1,097 1,186 1,293 1,326 1,541 1,838 2,010

  13. Texas - RRC District 1 Nonassociated Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 1 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 732 1980's 683 870 708 960 714 754 716 639 1,002 1,037 1990's 744 660 606 540 586 498 523 950 1,101 1,165 2000's 1,037 1,024 1,047 1,047 1,184 1,148 1,048

  14. Texas - RRC District 10 Nonassociated Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) 10 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 10 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 6,805 1980's 6,381 6,264 6,242 5,948 5,443 5,484 5,320 5,030 4,876 4,849 1990's 4,608 4,763 4,463 4,214 4,405 4,656 4,592 4,386 4,510 4,447 2000's 4,143

  15. Texas - RRC District 5 Nonassociated Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) 5 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 5 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,127 1980's 1,117 1,265 1,322 1,477 1,911 2,100 2,169 2,106 1,989 1,789 1990's 1,835 1,841 1,692 1,790 1,926 1,876 2,088 1,681 1,906 2,301 2000's 3,089

  16. Texas - RRC District 6 Nonassociated Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) 6 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 6 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,710 1980's 3,622 3,653 3,749 4,279 4,087 4,274 4,324 4,151 4,506 5,201 1990's 5,345 4,856 4,987 5,170 5,131 5,425 5,690 5,616 5,691 5,562 2000's 5,901

  17. Texas - RRC District 8 Nonassociated Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 8 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 8,073 1980's 7,216 6,620 6,084 6,064 5,362 5,246 5,254 4,973 4,738 4,403 1990's 4,323 4,023 3,792 3,569 3,267 3,218 3,069 2,886 2,727 2,947 2000's 3,345

  18. New Mexico - East Nonassociated Natural Gas, Wet After Lease Separation,

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

    Proved Reserves (Billion Cubic Feet) East Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New Mexico - East Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,634 1980's 2,266 2,377 2,331 2,214 2,117 2,001 1,750 1,901 2,030 2,131 1990's 2,290 2,073 1,948 1,860 1,791 1,648 1,612 1,694 1,694 1,880 2000's 2,526 2,571 2,632

  19. New Mexico - West Nonassociated Natural Gas, Wet After Lease Separation,

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

    Proved Reserves (Billion Cubic Feet) - West Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New Mexico - West Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 9,934 1980's 10,001 10,536 9,231 8,654 8,341 7,947 9,344 9,275 15,000 13,088 1990's 14,804 16,131 16,854 16,494 15,156 15,421 14,620 13,586 13,122 13,292 2000's

  20. New Mexico Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New Mexico Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 12,568 1980's 12,267 12,913 11,562 10,868 10,458 9,948 11,094 11,176 17,030 15,219 1990's 17,094 18,204 18,802 18,354 16,947 17,069 16,232 15,280 14,816 15,172 2000's 16,922 17,112 16,971

  1. Oklahoma Associated-Dissolved Natural Gas, Wet After Lease Separation,

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

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Oklahoma Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,246 1980's 2,252 2,441 2,426 2,269 2,244 2,149 2,191 2,017 1,894 1,785 1990's 1,820 1,406 1,483 1,550 1,342 1,228 1,023 1,015 1,196 1,238 2000's 1,113 1,109 1,177

  2. Oklahoma Natural Gas, Wet After Lease Separation Proved Reserves (Billion

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

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Oklahoma Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14,545 1980's 13,908 15,507 17,140 17,261 17,102 17,078 17,779 17,703 17,450 16,733 1990's 16,967 15,518 14,732 14,099 14,323 14,295 13,952 14,311 14,517 13,490 2000's 14,543 14,366 15,753 16,231 17,200 18,146 18,535 20,184 22,113 24,207 2010's

  3. Oklahoma Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Oklahoma Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 12,299 1980's 11,656 13,066 14,714 14,992 14,858 14,929 15,588 15,686 15,556 14,948 1990's 15,147 14,112 13,249 12,549 12,981 13,067 12,929 13,296 13,321 12,252 2000's 13,430 13,256 14,576

  4. Pennsylvania Natural Gas, Wet After Lease Separation Proved Reserves

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

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Pennsylvania Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,516 1980's 951 1,265 1,430 1,882 1,576 1,618 1,562 1,650 2,074 1,644 1990's 1,722 1,631 1,533 1,722 1,806 1,488 1,702 1,861 1,848 1,780 2000's 1,740 1,782 2,225 2,497 2,371 2,793 3,064 3,377 3,594 7,018 2010's 14,068 26,719 36,543

  5. Pennsylvania Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Pennsylvania Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,507 1980's 940 1,251 1,416 1,861 1,498 1,551 1,540 1,629 2,066 1,625 1990's 1,699 1,611 1,523 1,714 1,797 1,452 1,655 1,769 1,769 1,684 2000's 1,583 1,614 2,088 2,333 2,246 2,659

  6. Wyoming Natural Gas, Wet After Lease Separation Proved Reserves (Billion

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

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Wyoming Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 7,834 1980's 9,413 9,659 10,155 10,728 11,014 11,229 10,393 10,572 10,903 11,276 1990's 10,433 10,433 11,305 11,387 11,351 12,712 13,084 14,321 14,371 14,809 2000's 17,211 19,399 21,531 22,716 23,640 24,722 24,463 30,896 32,399 36,748 2010's

  7. Wyoming Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Wyoming Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 6,796 1980's 8,039 8,431 9,095 9,769 10,147 10,519 9,702 9,881 10,287 10,695 1990's 9,860 9,861 10,681 10,885 10,740 11,833 12,260 13,471 13,577 14,096 2000's 16,559 18,911 20,970 22,266

  8. Utah Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves

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

    (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Utah Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 650 1980's 870 1,722 1,928 2,112 1,984 1,897 1,795 1,870 1,509 1,498 1990's 1,432 1,532 1,709 1,909 1,631 1,424 1,446 1,695 2,293 3,050 2000's 4,125 4,450 3,915 3,318 3,661 4,051 4,894 6,095 6,393 6,810

  9. Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion

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

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 122 175 216 235 253 248 230 217 1990's 138 225 904 1,322 1,833 1,836 1,930 2,446 1,973 2,017 2000's 1,704 1,752 1,673 1,717 1,742 2,018 2,302 2,529 2,378 3,091 2010's 3,215 2,832 2,579 2,373 2,800 - = No Data Reported; -- = Not Applicable; NA =

  10. Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 122 175 216 235 253 248 230 217 1990's 138 225 904 1,322 1,833 1,836 1,930 1,923 1,973 2,017 2000's 1,704 1,752 1,673 1,717 1,742 2,018 2,302 2,529 2,378 3,091 2010's 3,215 2,832 2,579

  11. West Virginia Natural Gas, Wet After Lease Separation Proved Reserves

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

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) West Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,669 1980's 2,559 1,944 2,252 2,324 2,246 2,177 2,272 2,360 2,440 2,342 1990's 2,329 2,672 2,491 2,598 2,702 2,588 2,793 2,946 2,968 3,040 2000's 3,062 2,825 3,498 3,399 3,509 4,572 4,654 4,881 5,266 6,090 2010's 7,163 10,532

  12. West Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) West Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,593 1980's 2,437 1,881 2,169 2,238 2,173 2,104 2,207 2,210 2,299 2,244 1990's 2,243 2,513 2,293 2,408 2,569 2,514 2,722 2,887 2,925 2,952 2000's 2,929 2,777 3,477 3,376 3,489 4,553

  13. Biomechanics of Wheat/Barley Straw and Corn Stover

    SciTech Connect (OSTI)

    Christopher T. Wright; Peter A. Pryfogle; Nathan A. Stevens; Eric D. Steffler; J. Richard Hess; Thomas H. Ulrich

    2005-03-01

    The lack of understanding of the mechanical characteristics of cellulosic feedstocks is a limiting factor in economically collecting and processing crop residues, primarily wheat and barley stems and corn stover. Several testing methods, including compression, tension, and bend have been investigated to increase our understanding of the biomechanical behavior of cellulosic feedstocks. Biomechanical data from these tests can provide required input to numerical models and help advance harvesting, handling, and processing techniques. In addition, integrating the models with the complete data set from this study can identify potential tools for manipulating the biomechanical properties of plant varieties in such a manner as to optimize their physical characteristics to produce higher value biomass and more energy efficient harvesting practices.

  14. Wet-steam erosion of steam turbine disks and shafts

    SciTech Connect (OSTI)

    Averkina, N. V.; Zheleznyak, I. V.; Kachuriner, Yu. Ya.; Nosovitskii, I. A.; Orlik, V. G.; Shishkin, V. I.

    2011-01-15

    A study of wet-steam erosion of the disks and the rotor bosses or housings of turbines in thermal and nuclear power plants shows that the rate of wear does not depend on the diagrammed degree of moisture, but is determined by moisture condensing on the surfaces of the diaphragms and steam inlet components. Renovating the diaphragm seals as an assembly with condensate removal provides a manifold reduction in the erosion.

  15. Hydrologic Behavior of Two Engineered Barriers Following Extreme Wetting

    SciTech Connect (OSTI)

    Porro, I.

    2000-09-30

    Many engineered barriers are expected to function for hundreds of years or longer. Over the course of time, it is likely that some barriers will experience infiltration to the point of breakthrough. This study compares the recovery from breakthrough of two storage- evapotranspiration type engineered barriers. Replicates of test plots comprising thick soil and capillary/biobarrier covers were wetted to breakthrough in 1997. Test plots were kept cleared of vegetation to maximize hydrologic stress during recovery. Following cessation of drainage resulting from the wetting irrigations, water storage levels in all plots were at elevated levels compared to pre-irrigation levels. As a result, infiltration of melting snow during the subsequent spring overloaded the storage capacity and produced drainage in all plots. Relatively rapid melting of accumulated snowfall produced the most significant infiltration events each year during the study. Capillary barriers yielded less total drainage than thick soil barriers. By limiting drainage, capillary barriers increased water storage in the upper portions of the test plots, which led to increased evaporation from the capillary barrier plots compared to thick soil plots. Increased evaporation in the capillary barrier plots allowed more water to infiltrate in the second season following the wetting tests without triggering drainage. All thick soil plots again yielded drainage in the second season. Within two years of intentionally induced breakthrough, evaporation alone (without transpiration) restored the capability of the capillary barrier covers to function as intended, although water storage in these covers remained at elevated levels.

  16. Mercury removal in utility wet scrubber using a chelating agent

    DOE Patents [OSTI]

    Amrhein, Gerald T. (Louisville, OH)

    2001-01-01

    A method for capturing and reducing the mercury content of an industrial flue gas such as that produced in the combustion of a fossil fuel or solid waste adds a chelating agent, such as ethylenediaminetetraacetic acid (EDTA) or other similar compounds like HEDTA, DTPA and/or NTA, to the flue gas being scrubbed in a wet scrubber used in the industrial process. The chelating agent prevents the reduction of oxidized mercury to elemental mercury, thereby increasing the mercury removal efficiency of the wet scrubber. Exemplary tests on inlet and outlet mercury concentration in an industrial flue gas were performed without and with EDTA addition. Without EDTA, mercury removal totaled 42%. With EDTA, mercury removal increased to 71%. The invention may be readily adapted to known wet scrubber systems and it specifically provides for the removal of unwanted mercury both by supplying S.sup.2- ions to convert Hg.sup.2+ ions into mercuric sulfide (HgS) and by supplying a chelating agent to sequester other ions, including but not limited to Fe.sup.2+ ions, which could otherwise induce the unwanted reduction of Hg.sup.2+ to the form, Hg.sup.0.

  17. Wind Resource Assessment Report: Mille Lacs Indian Reservation, Minnesota

    SciTech Connect (OSTI)

    Jimenez, A. C.

    2013-12-01

    The U.S. Environmental Protection Agency (EPA) launched the RE-Powering America's Land initiative to encourage development of renewable energy on potentially contaminated land and mine sites. EPA collaborated with the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) and the Mille Lacs Band of Chippewa Indians to evaluate the wind resource and examine the feasibility of a wind project at a contaminated site located on the Mille Lacs Indian Reservation in Minnesota. The wind monitoring effort involved the installation of a 60-m met tower and the collection of 18 months of wind data at multiple heights above the ground. This report focuses on the wind resource assessment, the estimated energy production of wind turbines, and an assessment of the economic feasibility of a potential wind project sited this site.

  18. Multiscale MonteCarlo equilibration: Pure Yang-Mills theory

    SciTech Connect (OSTI)

    Endres, Michael G.; Brower, Richard C.; Orginos, Kostas; Detmold, William; Pochinsky, Andrew V.

    2015-12-29

    In this study, we present a multiscale thermalization algorithm for lattice gauge theory, which enables efficient parallel generation of uncorrelated gauge field configurations. The algorithm combines standard Monte Carlo techniques with ideas drawn from real space renormalization group and multigrid methods. We demonstrate the viability of the algorithm for pure Yang-Mills gauge theory for both heat bath and hybrid Monte Carlo evolution, and show that it ameliorates the problem of topological freezing up to controllable lattice spacing artifacts.

  19. Uranium Mill Tailings Remedial Action Program. Annual status report

    SciTech Connect (OSTI)

    Not Available

    1983-12-01

    The FY 1983 project accomplishments are: completed the Remedial Action Plan and Phase I engineering design for the Canonsburg processing site; completed remedial action on an additional 52 vicinity properties and the inclusion of an additional 303 properties in the Uranium Mill Tailings Remedial Action Project; executed cooperative agreements with four states and the Navajo Nation; published the draft environmental impact statement for Salt Lake City site; and issued the approved Project Plan.

  20. Monticello Mill Tailings Site Operable Unit III Ecological Risk

    Office of Legacy Management (LM)

    Monticello Mill Tailings Site Operable Unit III Ecological Risk Assessment September 1998 Prepared by U.S. Department of Energy Grand JunctionOffice Grand Junction, Colorado Project Number MSG-035-0004-00-000 Document Number Q0002l 00 Work Performed Under DOE Contract Number DE-AC13-96GJ87335 Task Order Number MAC98-03 This page intentionally blank , ** 1 ( ( Document Number Q00021 00 Contents Contents Page Acronyms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

  1. From: Mills, Pamela To: Congestion Study Comments Cc: Strack, Jan

    Office of Environmental Management (EM)

    Mills, Pamela To: Congestion Study Comments Cc: Strack, Jan Subject: National Electric Transmission Congestion Study - Draft for Public Comment Date: Friday, October 17, 2014 6:18:37 PM Attachments: SDGE Comments on the National Electric Transmission Congestion Study - Draft for Public Comment.docx Please find attached SDG&E's comments on the National Electric Transmission Congestion Study - Draft for Public Comment. Any questions or comments regarding the attached document should be

  2. Analysis of the Efficiency of the U.S. Ethanol Industry 2007

    SciTech Connect (OSTI)

    Wu, May

    2008-03-27

    In 2007, the Renewable Fuels Association (RFA) conducted a survey of US ethanol production plants to provide an assessment of the current US ethanol industry. The survey covers plant operations in both corn dry mills and wet mills. In particular, it includes plant type, ownership structure, capacity, feedstocks, production volumes, coproducts, process fuel and electricity usage, water consumption, and products transportation and distribution. This report includes a summary and analysis of these results.

  3. Table 11.5 Electricity: Sales to Utility and Nonutility Purchasers, 2010;

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

    5 Electricity: Sales to Utility and Nonutility Purchasers, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of NAICS Sales and Utility Nonutility Code(a) Subsector and Industry Transfers Offsite Purchaser(b) Purchaser(c) Total United States 311 Food 347 168 179 3112 Grain and Oilseed Milling 142 6 136 311221 Wet Corn Milling 14 4 10 31131 Sugar Manufacturing 109 88 21 3114 Fruit and Vegetable Preserving and

  4. Deconfinement in Yang-Mills Theory through Toroidal Compactification

    SciTech Connect (OSTI)

    Simic, Dusan; Unsal, Mithat; /Stanford U., Phys. Dept. /SLAC

    2011-08-12

    We introduce field theory techniques through which the deconfinement transition of four-dimensional Yang-Mills theory can be moved to a semi-classical domain where it becomes calculable using two-dimensional field theory. We achieve this through a double-trace deformation of toroidally compactified Yang-Mills theory on R{sup 2} x S{sub L}{sup 1} x S{sub {beta}}{sup 1}. At large N, fixed-L, and arbitrary {beta}, the thermodynamics of the deformed theory is equivalent to that of ordinary Yang-Mills theory at leading order in the large N expansion. At fixed-N, small L and a range of {beta}, the deformed theory maps to a two-dimensional theory with electric and magnetic (order and disorder) perturbations, analogs of which appear in planar spin-systems and statistical physics. We show that in this regime the deconfinement transition is driven by the competition between electric and magnetic perturbations in this two-dimensional theory. This appears to support the scenario proposed by Liao and Shuryak regarding the magnetic component of the quark-gluon plasma at RHIC.

  5. Coal combustion by wet oxidation. Wet oxidation of coal for energy production: test plan and partial results. Interim report

    SciTech Connect (OSTI)

    Bettinger, J.A.

    1980-07-10

    A test plan has been developed which will provide the data necessary to carry out design and economic studies of a steam generating facility, employing the wet oxidation of coal as a heat source. It is obvious, from the literature search and preliminary testing, that the higher the reaction temperature, the more complete the combustion of coal. However, operation at elevated temperatures and pressures present difficult design problems, and the necessary equipment is costly. Operation under these conditions can only be justified by the higher economic value of high pressure and temperature steam. With a reduction in temperature from 550/sup 0/F (228/sup 0/C) to 450/sup 0/F (232/sup 0/C), the operating pressure is reduced by more than half, thus holding down the overall cost of the system. For this reason, our plan is to study both the enhancement of low temperature wet oxidation of coal, and the higher operating regions. The coal selected for the first portion of this test is an Eastern Appalachian high-volatile-A Bituminous type, from the Upper Clarion seam in Pennsylvania. This coal was selected as being a typical high sulfur, eastern coal. The wet oxidation of coal to produce low pressure steam is a process suited for a high sulfur, low grade, coal. It is not intended that wet oxidation be used in all applications with all types of coals, as it does not appear to be competitive, economically, with conventional combustion, therefore the testing will focus on using high sulfur, low grade coals. In the later portion of testing all the available coals will be tested. In addition, a sample of Minnesota peat will be tested to determine if it also can be used in the process.

  6. Owens Corning and Silicon Valley Power Partner to Make Energy Savings a Reality (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2009-03-01

    This case study describes how the Owens Corning plant in Santa Clara, California, participated in Save Energy Now energy assessments and used Silicon Valley Power utility incentives to save $252,000.

  7. Owens Corning and Silicon Valley Power Partner to Make Energy Savings a Reality

    SciTech Connect (OSTI)

    2010-06-25

    This case study describes how the Owens Corning plant in Santa Clara, California, participated in Save Energy Now energy assessments and used Silicon Valley Power utility incentives to save $252,000.

  8. Separation of Corn Fiber and Conversion to Fuels and Chemicals: Pilot-Scale Operation

    SciTech Connect (OSTI)

    None

    2006-04-01

    This project focuses on the development and pilot-scale testing of technologies that will enable the development of a biorefinery capable of economically deriving high-value chemicals and oils from lower value corn fiber.

  9. Research To Develop Both Fuels And Value-Added Chemicals From Corn & Other

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

    Renewable Resources - News Releases | NREL Research To Develop Both Fuels And Value-Added Chemicals From Corn & Other Renewable Resources October 6, 2003 Golden, Colo. and Wilmington, Del. - The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) and DuPont today announced a joint research agreement leading toward the development of the world's first integrated "bio-refinery" that uses corn or other renewable resources-rather than traditional

  10. Ex Parte Letter - Owens Corning Meeting August 29, 2013 DOE EERE |

    Energy Savers [EERE]

    Department of Energy Letter - Owens Corning Meeting August 29, 2013 DOE EERE Ex Parte Letter - Owens Corning Meeting August 29, 2013 DOE EERE On Thursday, August 29, 2013, Julian Francis, VP & Managing Director Residential Insulation, Frank O'Brien Bernini, VP & Chief Sustainability Officer, Paul Smith, VP Building Materials Group Marketing, John Libonati, VP Government and Public Affairs, and I met with David Lee, Jeremy Williams, and Mark Lessans of the Department of Energy's (DOE)

  11. Land Use and Water Efficiency in Current and Potential Future U.S. Corn and

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

    Brazilian Sugarcane Ethanol Systems (Poster) (Conference) | SciTech Connect Land Use and Water Efficiency in Current and Potential Future U.S. Corn and Brazilian Sugarcane Ethanol Systems (Poster) Citation Details In-Document Search Title: Land Use and Water Efficiency in Current and Potential Future U.S. Corn and Brazilian Sugarcane Ethanol Systems (Poster) The potential for unintended consequences of biofuels--competition for land and water--necessitates that sustainable biofuel expansion

  12. Land-use change and greenhouse gas emissions from corn and cellulosic

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

    ethanol | Argonne National Laboratory Land-use change and greenhouse gas emissions from corn and cellulosic ethanol July 16, 2013 Tweet EmailPrint The greenhouse gas (GHG) emissions that may accompany land-use change (LUC) from increased biofuel feedstock production are a source of debate in the discussion of drawbacks and advantages of biofuels. Estimates of LUC GHG emissions focus mainly on corn ethanol and vary widely. Increasing the understanding of LUC GHG impacts associated with both

  13. Wetting kinetics of water nano-droplet containing non-surfactant nanoparticles: A molecular dynamics study

    SciTech Connect (OSTI)

    Lu, Gui; Department of Mechanical Engineering and Mechanics, Drexel University, Philadelphia, Pennsylvania 19104 ; Hu, Han; Sun, Ying E-mail: ysun@coe.drexel.edu; Duan, Yuanyuan E-mail: ysun@coe.drexel.edu

    2013-12-16

    In this Letter, dynamic wetting of water nano-droplets containing non-surfactant gold nanoparticles on a gold substrate is examined via molecular dynamics simulations. The results show that the addition of non-surfactant nanoparticles hinders the nano-second droplet wetting process, attributed to the increases in both surface tension of the nanofluid and friction between nanofluid and substrate. The droplet wetting kinetics decreases with increasing nanoparticle loading and water-particle interaction energy. The observed wetting suppression and the absence of nanoparticle ordering near the contact line of nano-sized droplets differ from the wetting behaviors reported from nanofluid droplets of micron size or larger.

  14. Economic Impact of Harvesting Corn Stover under Time Constraint: The Case of North Dakota

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Maung, Thein A.; Gustafson, Cole R.

    2013-01-01

    This study examines the impact of stochastic harvest field time on profit maximizing potential of corn cob/stover collection in North Dakota. Three harvest options are analyzed using mathematical programming models. Our findings show that under the first corn grain only harvest option, farmers are able to complete harvesting corn grain and achieve maximum net income in a fairly short amount of time with existing combine technology. However, under the second simultaneous corn grain and cob (one-pass) harvest option, farmers generate lower net income compared to the net income of the first option. This is due to the slowdown in combinemore » harvest capacity as a consequence of harvesting corn cobs. Under the third option of separate corn grain and stover (two-pass) harvest option, time allocation is the main challenge and our evidence shows that with limited harvest field time available, farmers find it optimal to allocate most of their time harvesting grain and then proceed to harvest and bale stover if time permits at the end of harvest season. The overall findings suggest is that it would be more economically efficient to allow a firm that is specialized in collecting biomass feedstock to participate in cob/stover harvest business.« less

  15. Low energy milling method, low crystallinity alloy, and negative electrode composition

    DOE Patents [OSTI]

    Le, Dihn B; Obrovac, Mark N; Kube, Robert Y; Landucci, James R

    2012-10-16

    A method of making nanostructured alloy particles includes milling a millbase in a pebble mill containing milling media. The millbase comprises: (i) silicon, and (ii) at least one of carbon or a transition metal, and wherein the nanostructured alloy particles are substantially free of crystalline domains greater than 50 nanometers in size. A method of making a negative electrode composition for a lithium ion battery including the nanostructured alloy particles is also disclosed.

  16. DOE to Transport Moab Mill Tailings by Rail | Department of Energy

    Energy Savers [EERE]

    to Transport Moab Mill Tailings by Rail DOE to Transport Moab Mill Tailings by Rail August 5, 2008 - 2:40pm Addthis Department Approves Project Baseline and Obtains Nuclear Regulatory Commission Nod WASHINGTON, DC - The U.S. Department of Energy (DOE) today reaffirmed its prior decision to relocate mill tailings predominantly by rail from the former uranium-ore processing site near Moab, Utah, 30 miles north to Crescent Junction, Utah. As determined previously, oversized material that is not

  17. Inter-Tribal Council of Michigan, Inc. - Bay Mills Indian Community Energy Reduction Feasibility Study

    Office of Environmental Management (EM)

    --Tribal Council of Michigan, Inc. Environmental Services Division Bay Mills Indian Community Energy Reduc<on Feasibility Study Chris K ushman Thank You *DOE Tribal Energy Program *Tribal Energy Program Review presenters *Bay Mills Indian Community Bay Mills Indian Community * Upper Peninsula of Michigan - Cold temperatures - Prolonged exposure to strong north winds off Lake Superior - Short winter daylight * Fishing and fish consuming community * Electricity largely supplied by coal fired

  18. DOE - Office of Legacy Management -- Falls City Mill Site - TX 04

    Office of Legacy Management (LM)

    Mill Site - TX 04 FUSRAP Considered Sites Site: Falls City Mill Site (TX.04 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Falls City, Texas, Disposal Site Documents Related to Falls City Mill Site Data Validation Package for the April 2009 Groundwater Sampling at the Falls City, Texas, Disposal Site. June 2009 2014 Annual Site

  19. DOE - Office of Legacy Management -- Green River Mill Site - UT 0-01

    Office of Legacy Management (LM)

    Green River Mill Site - UT 0-01 FUSRAP Considered Sites Site: Green River Mill Site (UT.0-01 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Green River, Utah, Disposal Site Documents Related to Green River Mill Site Data Validation Package for the June 2009 Groundwater and Surface Water Sampling at the Green River, Utah, Disposal

  20. DOE - Office of Legacy Management -- Monument Valley Mill Site - AZ 0-01

    Office of Legacy Management (LM)

    Monument Valley Mill Site - AZ 0-01 FUSRAP Considered Sites Site: Monument Valley Mill Site (AZ.0-01) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Monument Valley, Arizona, Processing Site Documents Related to Monument Valley Mill Site Data Validation Package for the June 2009 Water Sampling at the Monument Valley, Arizona,

  1. DOE - Office of Legacy Management -- Naturita Mill Site - CO 0-08

    Office of Legacy Management (LM)

    Naturita Mill Site - CO 0-08 FUSRAP Considered Sites Site: Naturita Mill Site (CO.0-08) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Naturita, Colorado, Processing Site Documents Related to Naturita Mill Site Data Validation Package for the July and October 2008 Water Sampling at the Naturita Processing and Disposal Sites Data

  2. DOE - Office of Legacy Management -- Rifle Mill Site - CO 0-11

    Office of Legacy Management (LM)

    Rifle Mill Site - CO 0-11 FUSRAP Considered Sites Site: Rifle Mill Site (CO.0-11 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Rifle, Colorado, New Processing Site Rifle, Colorado, Old Processing Site Documents Related to Rifle Mill Site 2009 Verification Monitoring Report for the Old and New Rifle, Colorado, Processing Sites;

  3. DOE - Office of Legacy Management -- Climax Uranium Co Grand Junction Mill

    Office of Legacy Management (LM)

    - CO 0-03 Climax Uranium Co Grand Junction Mill - CO 0-03 FUSRAP Considered Sites Site: Climax Uranium Co. (Grand Junction Mill) (CO.0-03) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Grand Junction, Colorado, Processing Site Documents Related to Climax Uranium Co. (Grand Junction Mill) Data Validation Package for the August

  4. Steel Mill Powered by Waste Heat Recovery System | Department of Energy

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

    Steel Mill Powered by Waste Heat Recovery System Steel Mill Powered by Waste Heat Recovery System May 16, 2013 - 12:00am Addthis EERE worked with ArcelorMittal USA, Inc. to install an efficient recovery boiler to burn blast furnace gases generated during iron-making operations to produce electricity and steam onsite at the company's Indiana Harbor Steel Mill in East Chicago, Indiana. The steam is being used to drive existing turbogenerators onsite, creating enough electricity to power the

  5. Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation,

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

    Proved Reserves (Billion Cubic Feet) Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  6. The U.S. Dry-Mill Ethanol Industry: Biobased Products and Bioenergy Initiative Success Stories

    SciTech Connect (OSTI)

    2009-10-28

    This fact sheet provides an overview of the history of ethanol production in the United States and describes innovations in dry-mill ethanol production.

  7. Bioenergy Pumps New Life into Pulp and Paper Mills | Department of Energy

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

    Bioenergy Pumps New Life into Pulp and Paper Mills Bioenergy Pumps New Life into Pulp and Paper Mills December 13, 2011 - 4:12pm Addthis Old Town Fuel and Fiber, a former pulp mill, converts a portion of the wood chips used to make pulp to biofuels. | Energy Department photo. Old Town Fuel and Fiber, a former pulp mill, converts a portion of the wood chips used to make pulp to biofuels. | Energy Department photo. Neil Rossmeissl General Engineer What does this project do? Breathes new life into

  8. From Flour to Grits, a Water-Powered Mill Keeps on Grinding | Department of

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

    Energy From Flour to Grits, a Water-Powered Mill Keeps on Grinding From Flour to Grits, a Water-Powered Mill Keeps on Grinding July 7, 2015 - 12:15pm Addthis From Flour to Grits, a Water-Powered Mill Keeps on Grinding By 1913, the old mill had become structurally unsound and was demolished and later rebuilt. The family also replaced the water wheel with more efficient twin hydropower turbine and generator units, boosting their local electric supply. As the family-owned business-Weisenberger

  9. Uranium Mill Tailings Remedial Action Project. 1995 Environmental Report

    SciTech Connect (OSTI)

    1996-06-01

    In accordance with U.S. Department of Energy (DOE) Order 23 1. 1, Environment, Safety and Health Reporting, the DOE prepares an annual report to document the activities of the Uranium Mill Tailings Remedial Action (UMTRA) Project environmental monitoring program. This monitoring must comply with appropriate laws, regulations, and standards, and it must identify apparent and meaningful trends in monitoring results. The results of all monitoring activities must be communicated to the public. The UMTRA Project has prepared annual environmental reports to the public since 1989.

  10. Monticello Mill Tailings Site Operable Unit Ill Interim Remedial Action

    Office of Legacy Management (LM)

    Site Operable Unit Ill Interim Remedial Action Mark Perfxmed Under DOE Contrici No. DE-AC13-96CJ873.35 for th3 U.S. De[:ar!menf of Energy app~oveJioi'ptiL#ic re1ease;dCinWlionis Unlimilra' This page intentionally left blank Monticello Mill Tailings Site Operable Unit I11 Interim Remedial Action Annual Status Report August 1999 Prepared for U.S. Department of Energy Albuquerque Operations Office Grand Junction Office Project Number MSG-035-0011-00-000 Document Number Q0017700 Work Performed Under

  11. Width of the Confining String in Yang-Mills Theory

    SciTech Connect (OSTI)

    Gliozzi, F.; Pepe, M.; Wiese, U.-J.

    2010-06-11

    We investigate the transverse fluctuations of the confining string connecting two static quarks in (2+1)D SU(2) Yang-Mills theory using Monte Carlo calculations. The exponentially suppressed signal is extracted from the large noise by a very efficient multilevel algorithm. The resulting width of the string increases logarithmically with the distance between the static quark charges. Corrections at intermediate distances due to universal higher-order terms in the effective string action are calculated analytically. They accurately fit the numerical data.

  12. 1986 wet deposition temporal and spatial patterns in North America

    SciTech Connect (OSTI)

    Olsen, A.R.

    1989-07-01

    The focus of this report is on North American wet deposition temporal patterns from 1979 to 1986 and spatial patterns for 1986. The report provides statistical distribution summaries of annual precipitation-weighted average concentration and annual deposition for nine ion species: hydrogen, sulfate, nitrate, ammonium, calcium, chloride, sodium, potassium, and magnesium. The data in the report are from the Acid Depositing System (ADS) for the statistical reporting of North American deposition data. Isopleth maps, based on surface estimation using kriging, display concentration and deposition spatial patterns of pH, hydrogen, sulfate, nitrate, ammonium, and calcium ion species for 1986 annual, winter, and summer periods. The temporal pattern analyses use a subset of 30 sites over an 8-year (1979-1986) period and an expanded subset of 137 sites with greater spatial coverage over a 5-year (1982-1986) period. The 8-year period represents the longest period with wet deposition monitoring data unavailable that has a sufficient number of sites with data of known quality to allow a descriptive summary of annual temporal patterns. 19 refs., 105 figs., 29 tabs.

  13. Predictive modeling of reactive wetting and metal joining.

    SciTech Connect (OSTI)

    van Swol, Frank B.

    2013-09-01

    The performance, reproducibility and reliability of metal joints are complex functions of the detailed history of physical processes involved in their creation. Prediction and control of these processes constitutes an intrinsically challenging multi-physics problem involving heating and melting a metal alloy and reactive wetting. Understanding this process requires coupling strong molecularscale chemistry at the interface with microscopic (diffusion) and macroscopic mass transport (flow) inside the liquid followed by subsequent cooling and solidification of the new metal mixture. The final joint displays compositional heterogeneity and its resulting microstructure largely determines the success or failure of the entire component. At present there exists no computational tool at Sandia that can predict the formation and success of a braze joint, as current capabilities lack the ability to capture surface/interface reactions and their effect on interface properties. This situation precludes us from implementing a proactive strategy to deal with joining problems. Here, we describe what is needed to arrive at a predictive modeling and simulation capability for multicomponent metals with complicated phase diagrams for melting and solidification, incorporating dissolutive and composition-dependent wetting.

  14. Michigan Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Michigan Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,334 1980's 1,551 1,252 1,200 1,353 1,193 1,064 1,242 1,571 1,434 1,443 1990's 1,330 1,404 1,290 1,218 1,379 1,344 2,125 2,256 2,386 2,313 2000's 2,772 3,032 3,311 3,488 3,154 2,961 3,117 3,691 3,253 2,805 2010's 2,975 2,549 1,781 1,839 1,873 -

  15. Experimental co-digestion of corn stalk and vermicompost to improve biogas production

    SciTech Connect (OSTI)

    Chen Guangyin; Zheng Zheng; Yang Shiguan; Fang Caixia; Zou Xingxing; Luo Yan

    2010-10-15

    Anaerobic co-digestion of corn stalk and vermicompost (VC) as well as mono-digestion of corn stalk were investigated. Batch mono-digestion experiments were performed at 35 {+-} 1 {sup o}C and initial total solid loading (TSL) ranged from 1.2% to 6.0%. Batch co-digestion experiments were performed at 35 {+-} 1 {sup o}C and initial TSL of 6% with VC proportions ranged from 20% to 80% of total solid (TS). For mono-digestion of corn stalk, a maximum methane yield of 217.60 {+-} 13.87 mL/g TS{sub added} was obtained at initial TSL of 4.8%, and acidification was found at initial TSL of 6.0% with the lowest pH value of 5.10 on day 4. Co-digestion improved the methane yields by 4.42-58.61% via enhancing volatile fatty acids (VFAs) concentration and pH value compared with mono-digestion of corn stalk. The maximum biogas yield of 410.30 {+-} 11.01 mL/g TS{sub added} and methane yield of 259.35 {+-} 13.85 mL/g TS{sub added} were obtained for 40% VC addition. Structure analysis by X-ray diffractometry (XRD) showed that the lowest crystallinity of 35.04 of digested corn stalk was obtained from co-digestion with 40% VC, which decreased 29.4% compared to 49.6 obtained from un-treated corn stalk. It is concluded that co-digestion with VC is beneficial for improving biodigestibility and methane yield from corn stalk.

  16. Liner evaluation for uranium mill tailings. Final report

    SciTech Connect (OSTI)

    Buelt, J.L. (comp.)

    1983-09-01

    The Liner Evaluation for Uranium Mill Tailings Program was conducted to evaluate the need for and performance of prospective lining materials for the long-term management of inactive uranium mill tailings piles. On the basis of program results, two materials have been identified: natural foundation soil amended with 10% sodium bentonite; catalytic airblown asphalt membrane. The study showed that, for most situations, calcareous soils typical of Western US sites adequately buffer tailings leachates and prevent groundwater contamination without additional liner materials or amendments. Although mathematical modeling of disposal sites is recommended on a site-specific basis, there appears to be no reason to expect significant infiltration through the cover for most Western sites. The major water source through the tailings would be groundwater movement at sites with shallow groundwater tables. Even so column leaching studies showed that contaminant source terms were reduced to near maximum contaminant levels (MCL's) for drinking water within one or two pore volumes; thus, a limited source term for groundwater contamination exists. At sites where significant groundwater movement or infiltration is expected and the tailings leachates are alkaline, however, the sodium bentonite or asphalt membrane may be necessary.

  17. Analyzing and Comparing Biomass Feedstock Supply Systems in China: Corn Stover and Sweet Sorghum Case Studies

    SciTech Connect (OSTI)

    Ren, Lantian; Cafferty, Kara; Roni, Mohammad; Jacobson, Jacob; Xie, Guanghui; Ovard, Leslie; Wright, Christopher

    2015-06-11

    This paper analyzes the rural Chinese biomass supply system and models supply chain operations according to U.S. concepts of logistical unit operations: harvest and collection, storage, transportation, preprocessing, and handling and queuing. In this paper, we quantify the logistics cost of corn stover and sweet sorghum in China under different scenarios. We analyze three scenarios of corn stover logistics from northeast China and three scenarios of sweet sorghum stalks logistics from Inner Mongolia in China. The case study estimates that the logistics cost of corn stover and sweet sorghum stalk to be $52.95/dry metric ton and $52.64/dry metric ton, respectively, for the current labor-based biomass logistics system. However, if the feedstock logistics operation is mechanized, the cost of corn stover and sweet sorghum stalk decreases to $36.01/dry metric ton and $35.76/dry metric ton, respectively. The study also includes a sensitivity analysis to identify the cost factors that cause logistics cost variation. Results of the sensitivity analysis show that labor price has the most influence on the logistics cost of corn stover and sweet sorghum stalk, with a variation of $6 to $12/dry metric ton.

  18. Analyzing and Comparing Biomass Feedstock Supply Systems in China: Corn Stover and Sweet Sorghum Case Studies

    SciTech Connect (OSTI)

    Mohammad S. Roni; Kara G. Cafferty; Christopher T Wright; Lantian Ren

    2015-06-01

    China has abundant biomass resources, which can be used as a potential source of bioenergy. However, China faces challenges implementing biomass as an energy source, because China has not developed the highly networked, high-volume biomass logistics systems and infrastructure. This paper analyzes the rural Chinese biomass supply system and models supply chain operations according to the U.S. concepts of logistical unit operations: harvest and collection, storage, transportation, preprocessing, and handling and queuing. In this paper, we quantify the logistics cost of corn stover and sweet sorghum under different scenarios in China. We analyze three scenarios of corn stover logistics from northeast China and three scenarios of sweet sorghum stalks logistics from Inner Mongolia in China. The case study shows that the logistics cost of corn stover and sweet sorghum stalk will be $52.95/dry metric ton and $52.64/ dry metric ton, respectively, for the current labor-based biomass logistics system. However, if the feedstock logistics operation is mechanized, the cost of corn stover and sweet sorghum stalk will be down to $36.01/ dry metric ton and $35.76/dry metric ton, respectively. The study also performed a sensitivity analysis to find the cost factors that cause logistics cost variation. A sensitivity analysis shows that labor price has the most influence on the logistics cost of corn stover and sweet sorghum stalk, causing a variation of $6 to $12/metric ton.

  19. Analyzing and Comparing Biomass Feedstock Supply Systems in China: Corn Stover and Sweet Sorghum Case Studies

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ren, Lantian; Cafferty, Kara; Roni, Mohammad; Jacobson, Jacob; Xie, Guanghui; Ovard, Leslie; Wright, Christopher

    2015-06-11

    This paper analyzes the rural Chinese biomass supply system and models supply chain operations according to U.S. concepts of logistical unit operations: harvest and collection, storage, transportation, preprocessing, and handling and queuing. In this paper, we quantify the logistics cost of corn stover and sweet sorghum in China under different scenarios. We analyze three scenarios of corn stover logistics from northeast China and three scenarios of sweet sorghum stalks logistics from Inner Mongolia in China. The case study estimates that the logistics cost of corn stover and sweet sorghum stalk to be $52.95/dry metric ton and $52.64/dry metric ton, respectively,more » for the current labor-based biomass logistics system. However, if the feedstock logistics operation is mechanized, the cost of corn stover and sweet sorghum stalk decreases to $36.01/dry metric ton and $35.76/dry metric ton, respectively. The study also includes a sensitivity analysis to identify the cost factors that cause logistics cost variation. Results of the sensitivity analysis show that labor price has the most influence on the logistics cost of corn stover and sweet sorghum stalk, with a variation of $6 to $12/dry metric ton.« less

  20. Economic and environmental impacts of the corn grain ethanol industry on the United States agricultural sector

    SciTech Connect (OSTI)

    Larson, J.A.; English, B.C.; De La Torre Ugarte, D. G.; Menard, R.J.; Hellwinckel, C.M.; West, Tristram O.

    2010-09-10

    This study evaluated the impacts of increased ethanol production from corn starch on agricultural land use and the environment in the United States. The Policy Analysis System simulation model was used to simulate alternative ethanol production scenarios for 2007 through 2016. Results indicate that increased corn ethanol production had a positive effect on net farm income and economic wellbeing of the US agricultural sector. In addition, government payments to farmers were reduced because of higher commodity prices and enhanced net farm income. Results also indicate that if Conservation Reserve Program land was converted to crop production in response to higher demand for ethanol in the simulation, individual farmers planted more land in crops, including corn. With a larger total US land area in crops due to individual farmer cropping choices, total US crop output rose, which decreased crop prices and aggregate net farm income relative to the scenario where increased ethanol production happened without Conservation Reserve Program land. Substantial shifts in land use occurred with corn area expanding throughout the United States, especially in the traditional corn-growing area of the midcontinent region.

  1. Hydrogen Generation Rate Scoping Study of DOW Corning Antifoam Agent

    SciTech Connect (OSTI)

    Crawford, Charles

    2005-09-27

    The antifoam agent DOW Corning Q2-3183A will be added to waste streams in the Hanford River Protection Program-Waste Treatment and Immobilization Plant (RPP-WTP) to prevent foaming. It consists mostly of polydimethylsiloxane (PDMS) and polypropylene glycol (PPG). These and other minor constituents of the antifoam have organic constituents that may participate in radiolytic and chemical reactions that produce hydrogen in Hanford waste. It has been recommended by The WTP R&T Department recommended personnel to treat the organic compounds of the antifoam like the in a similar manner as other organic compounds that are native to the Hanford waste with respect to hydrogen production. This testing has investigated the radiolytic and thermal production of hydrogen from antifoam added to simulant waste solutions to determine if the organic components of the antifoam produce hydrogen in the same manner as the native organic species in Hanford waste. Antifoam additions for this testing were in the range of 4 to 10 wt% to ensure adequate hydrogen detection. Test conditions were selected to bound exposures to the antifoam agent in the WTP. These levels are higher than previously recommended values of 350 mg/L for actual applications in WTP tanks containing air spargers and pulse jet mixers. Limited degradation analyses for the organic components of the antifoam were investigated in this study. A more detailed study involving analyses of antifoam degradation and product formation is in progress at SRNL and results from that study will be reported at a later time. The total organic carbon (TOC) content of the Q2-3183A antifoam was measured to be 39.7 {+-} 4.9 wt% TOC. This measurement was performed in triplicate with on three different dilutions of the pure antifoam liquid using a TOC combustion analyzer instrument with catalytic oxidation, followed by CO{sub 2} quantification using an infrared detector. Test results from this study indicate that the WTP HGR correlation conservatively bounds hydrogen generation rates (HGRs) from antifoam-containing simulants if the antifoam organic components are treated the same as other native organics. Tests that used the combination of radiolysis and thermolysis conducted on simulants containing antifoam produced measured hydrogen that was bounded by the WTP correlation. These tests used the bounding WTP temperature of 90 C and a dose rate of 1.8 x 10{sup 5} rad/hr. This dose rate is about ten times higher than the dose rate equivalent calculated for a bounding Hanford sludge slurry composition of 10 Ci/L, or 2 x 10{sup 4} rad/hr. Hydrogen was measured using a quadrupole mass spectroscopy instrument. Based on the analyses from the 4wt% and 10wt% antifoam samples, it is expected that the HGR results are directly proportional to the antifoam concentration added. A native organic-containing simulant that did not contain any added antifoam also produced a measurable radiolytic/thermal hydrogen rates that was in bounded by the WTP correlation. A base simulant with no added organic produced a measurable radiolytic/thermal HGR that was {approx}2X higher than the predicted HGR. Analysis of antifoam-containing simulants after prolonged irradiation of 52 Mrad and heating (23 days at 90 C) indicates that essentially all of the PDMS and greater than 60% of the PPG components are degraded, likely to lower molecular weight species. The antifoam components were analyzed by extraction from the salt simulants, followed by gel permeation chromatography (GPC) by personnel at Dow Corning. A more detailed study of the antifoam degradation and product formation from radiolysis and thermolysis is currently in progress at SRNL. That study uses a dose rate of about 2 x 10{sup 4} rad/hr and bounding temperatures of 90 C. Results from that study will be reported in a future report.

  2. WPN 97-6: Approval of Wet-Spray Cellulose Insulation as an Allowable Weatherization Material

    Broader source: Energy.gov [DOE]

    To provide states with information about the approved use of wet-spray cellulose for use in the low-income Weatherization Assistance Program.

  3. ,"Texas - RRC District 7B Associated-Dissolved Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7B Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  4. ,"Texas - RRC District 8A Associated-Dissolved Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8A Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  5. ,"Texas - RRC District 7C Associated-Dissolved Natural Gas, Wet...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7C Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  6. ,"Texas - RRC District 8A Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8A Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  7. ,"Texas - RRC District 7B Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7B Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  8. ,"Texas - RRC District 7C Natural Gas, Wet After Lease Separation...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7C Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  9. MHK Projects/US Navy Wave Energy Technology WET Program at Marine...

    Open Energy Info (EERE)

    US Navy Wave Energy Technology WET Program at Marine Corps Base Hawaii MCBH < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map......

  10. Patterned functional arrays by selective de-wetting

    SciTech Connect (OSTI)

    FAN,HONGYOU; DOSHI,DHAVAL; LU,YUNFENG; BRINKER,C. JEFFREY

    2000-05-11

    Using a micro-Contact Printing ({mu}-CP) technique, substrates are prepared with patterns of hydrophilic, hydroxyl-terminated SAMS and hydrophobic methyl-terminated SAMS. Beginning with a homogeneous solution of silica, surfactant, ethanol, water, and functional silane, preferential ethanol evaporation during dip-coating, causes water enrichment and selective de-wetting of the hydrophobic SAMS. Correspondingly, film deposition occurs exclusively on the patterned hydrophilic SAMS. In addition, by co-condensation of tetrafunctional silanes (Si(OR){sub 4}) with tri-functional organosilanes ((RO){sub 3}Si(CH{sub 2}){sub 3}NH{sub 2}), the authors have selectively derived the silica framework with functional amine NH{sub 2} groups. A pH sensitive, micro-fluidic system was formed by further conjugation reactions with pH sensitive dye molecules.

  11. Crude Oil and Lease Condensate Wet Natural Gas

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

    U.S. proved reserves, and reserves changes, 2013-2014 Crude Oil and Lease Condensate Wet Natural Gas billion barrels trillion cubic feet U.S. proved reserves at December 31, 2013 36.5 354.0 Total discoveries 5.4 50.5 Net revisions 0.4 1.0 Net Adjustments, Sales, Acquisitions 0.8 11.5 Production -3.2 -28.1 Net additions to U.S. proved reserves 3.4 34.8 U.S. proved reserves at December 31, 2014 39.9 388.8 Percent change in U.S. proved reserves 9.3% 9.8% Percent change calculated from unrounded

  12. Wet chemical thinning of molybdenum disulfide down to its monolayer

    SciTech Connect (OSTI)

    Amara, Kiran Kumar; Chu, Leiqiang; Kumar, Rajeev; Toh, Minglin; Eda, Goki

    2014-09-01

    We report on the preparation of mono- and bi-layer molybdenum disulfide (MoS{sub 2}) from a bulk crystal by facile wet chemical etching. We show that concentrated nitric acid (HNO{sub 3}) effectively etches thin MoS{sub 2} crystals from their edges via formation of MoO{sub 3}. Interestingly, etching of thin crystals on a substrate leaves behind unreacted mono- and bilayer sheets. The flakes obtained by chemical etching exhibit electronic quality comparable to that of mechanically exfoliated counterparts. Our findings indicate that the self-limiting chemical etching is a promising top-down route to preparing atomically thin crystals from bulk layer compounds.

  13. Wet oxidation of high-concentration reactive dyes

    SciTech Connect (OSTI)

    Chen, G.; Lei, L.; Yue, P.L.

    1999-05-01

    Advanced oxidation methods were used to degrade reactive dyes at high concentrations in aqueous solutions. Wet peroxide oxidation (WPO) was found to be the best method in terms of the removal of color and total organic carbon (TOC). Reactive blue (Basilen Brilliant Blue P-3R) was chosen as a model dye for determining the suitable reaction conditions. The variables studied include reaction temperature, H{sub 2}O{sub 2} dosage, solution pH, dye concentration, and catalyst usage. The removal of TOC and color by wet oxidation is very sensitive to the reaction temperature. At 150 C, the removal of 77% TOC and 90% color was obtained in less than 30 min. The initial TOC removal rate is proportional to the H{sub 2}O{sub 2} dosage. The TOC removal is insignificant even when 50% of the stoichiometric amount of H{sub 2}O{sub 2} is used. No color change is observed until the dosage of H{sub 2}O{sub 2} is 100% of the stoichiometric amount. The color removal is closely related to TOC removal. When the pH of the solution is adjusted to 3.5, the dye degradation rate increases significantly. The rates of TOC and color removal are enhanced by using a Cu{sup 2+} catalyst. Another four reactive dyes, Procion Red PX-4B, Cibacron Yellow P-6GS, Cibacron Brown P-6R, and Procion Black PX-2R, were treated at 150 C using WPO. More than 80% TOC was removed from the solution in less than 15 min. The process can remove the colors of al these dyes except Procion Black PX-2R.

  14. Fuelwood procurement for an industrial power plant: a case study of Dow Corning's program

    SciTech Connect (OSTI)

    Folger, A.G.; Sworden, P.G.; Bond, C.T.

    1984-08-01

    Dow Corning Corporation has developed effective procedures for meeting the fuelwood requirements of a 22.4 megawatt steam and electricity cogenerating power plant. The fuelwood procurement program of Dow Corning's Natural Resources Department involves special arrangements with private landowners, logging and hauling producers, and waste wood suppliers. The program's success is attributable to a favorable location, adequate allowance for advance planning, effective public relations, and flexible management. The program is significant because it demonstrates that industrial fuelwood requirements can be met and that improved production from nonindustrial private forests can be relied upon as a major source of fuelwood. 7 references, 7 figures.

  15. Asphalt emulsion sealing of uranium mill tailings. 1979 annual report

    SciTech Connect (OSTI)

    Hartley, J.N.; Koehmstedt, P.L.; Esterl, D.J.; Freeman, H.D.

    1980-06-01

    Uranium mill tailings are a source of low-level radiation and radioactive materials that may be released into the environment. Stabilization or disposal of these tailings in a safe and environmentally sound way is necessary to minimize radon exhalation and other radioactive releases. One of the most promising concepts for stabilizing uranium tailings is being investigated at the Pacific Northwest Laboratory: the use of asphalt emulsion to contain radon and other potentially hazardous materials in uranium tailings. Results of these studies indicate that radon flux from uranium tailings can be reduced by greater than 99% by covering the tailings with an asphalt emulsion that is poured on or sprayed on (3.0 to 7.0 mm thick), or mixed with some of the tailings and compacted to form an admixture seal (2.5 to 15.2 cm) containing 18 wt % residual asphalt.

  16. Uranium Mill Tailings Remedial Action Project 1993 Environmental Report

    SciTech Connect (OSTI)

    Not Available

    1994-10-01

    This annual report documents the Uranium Mill Tailing Remedial Action (UMTRA) Project environmental monitoring and protection program. The UMTRA Project routinely monitors radiation, radioactive residual materials, and hazardous constituents at associated former uranium tailings processing sites and disposal sites. At the end of 1993, surface remedial action was complete at 10 of the 24 designated UMTRA Project processing sites. In 1993 the UMTRA Project office revised the UMTRA Project Environmental Protection Implementation Plan, as required by the US DOE. Because the UMTRA Project sites are in different stages of remedial action, the breadth of the UMTRA environmental protection program differs from site to site. In general, sites actively undergoing surface remedial action have the most comprehensive environmental programs for sampling media. At sites where surface remedial action is complete and at sites where remedial action has not yet begun, the environmental program consists primarily of surface water and ground water monitoring to support site characterization, baseline risk assessments, or disposal site performance assessments.

  17. Selenium Speciation and Management in Wet FGD Systems

    SciTech Connect (OSTI)

    Searcy, K; Richardson, M; Blythe, G; Wallschlaeger, D; Chu, P; Dene, C

    2012-02-29

    This report discusses results from bench- and pilot-scale simulation tests conducted to determine the factors that impact selenium speciation and phase partitioning in wet FGD systems. The selenium chemistry in wet FGD systems is highly complex and not completely understood, thus extrapolation and scale-up of these results may be uncertain. Control of operating parameters and application of scrubber additives have successfully demonstrated the avoidance or decrease of selenite oxidation at the bench and pilot scale. Ongoing efforts to improve sample handling methods for selenium speciation measurements are also discussed. Bench-scale scrubber tests explored the impacts of oxidation air rate, trace metals, scrubber additives, and natural limestone on selenium speciation in synthetic and field-generated full-scale FGD liquors. The presence and concentration of redox-active chemical species as well as the oxidation air rate contribute to the oxidation-reduction potential (ORP) conditions in FGD scrubbers. Selenite oxidation to the undesirable selenate form increases with increasing ORP conditions, and decreases with decreasing ORP conditions. Solid-phase manganese [Mn(IV)] appeared to be the significant metal impacting the oxidation of selenite to selenate. Scrubber additives were tested for their ability to inhibit selenite oxidation. Although dibasic acid and other scrubber additives showed promise in early clear liquor (sodium based and without calcium solids) bench-scale tests, these additives did not show strong inhibition of selenite oxidation in tests with higher manganese concentrations and with slurries from full-scale wet FGD systems. In bench-tests with field liquors, addition of ferric chloride at a 250:1 iron-to-selenium mass ratio sorbed all incoming selenite to the solid phase, although addition of ferric salts had no impact on native selenate that already existed in the field slurry liquor sample. As ORP increases, selenite may oxidize to selenate more rapidly than it sorbs to ferric solids. Though it was not possible to demonstrate a decrease in selenium concentrations to levels below the project?¢????s target of 50 ???µg/L during pilot testing, some trends observed in bench-scale testing were evident at the pilot scale. Specifically, reducing oxidation air rate and ORP tends to either retain selenium as selenite in the liquor or shift selenium phase partitioning to the solid phase. Oxidation air flow rate control may be one option for managing selenium behavior in FGD scrubbers. Units that cycle load widely may find it more difficult to impact ORP conditions with oxidation air flow rate control alone. Because decreasing oxidation air rates to the reaction tank showed that all ?¢????new?¢??? selenium reported to the solids, the addition of ferric chloride to the pilot scrubber could not show further improvements in selenium behavior. Ferric chloride addition did shift mercury to the slurry solids, specifically to the fine particles. Several competing pathways may govern the reporting of selenium to the slurry solids: co-precipitation with gypsum into the bulk solids and sorption or co-precipitation with iron into the fine particles. Simultaneous measurement of selenium and mercury behavior suggests a holistic management strategy is best to optimize the fate of both of these elements in FGD waters. Work conducted under this project evaluated sample handling and analytical methods for selenium speciation in FGD waters. Three analytical techniques and several preservation methods were employed. Measurements of selenium speciation over time indicated that for accurate selenium speciation, it is best to conduct measurements on unpreserved, filtered samples as soon after sampling as possible. The capital and operating costs for two selenium management strategies were considered: ferric chloride addition and oxidation air flow rate control. For ferric chloride addition, as migh

  18. DOE Moab Project Reaches Halfway Mark in Mill Tailings Removal 2.5 Million

    Office of Environmental Management (EM)

    Hours Safely Worked | Department of Energy Moab Project Reaches Halfway Mark in Mill Tailings Removal 2.5 Million Hours Safely Worked DOE Moab Project Reaches Halfway Mark in Mill Tailings Removal 2.5 Million Hours Safely Worked January 20, 2016 - 12:00pm Addthis DOE Moab Project Reaches Halfway Mark in Mill Tailings Removal 2.5 Million Hours Safely Worked Media Contact Wendee Ryan, S&K Aerospace Public Affairs Manager, (970) 257-2145 (Grand Junction, CO) - The U.S. Department of Energy

  19. 6 Million Tons of Mill Tailings Removed From DOE Moab Project Site |

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

    Department of Energy 6 Million Tons of Mill Tailings Removed From DOE Moab Project Site 6 Million Tons of Mill Tailings Removed From DOE Moab Project Site June 18, 2013 - 12:00pm Addthis Media Contacts Donald Metzler, Moab Federal Project Director (970) 257-2115 Wendee Ryan, S&K Aerospace Public Affairs Manager (970) 257-2145 (Grand Junction, CO) - Today, the Department of Energy (DOE) announced that 6 million tons of uranium mill tailings have been shipped from Moab, Utah, under the

  20. Fluctuations destroying long-range order in SU(2) Yang-Mills theory

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Fluctuations destroying long-range order in SU(2) Yang-Mills theory Citation Details In-Document Search Title: Fluctuations destroying long-range order in SU(2) Yang-Mills theory We study lattice SU(2) Yang-Mills theory with dimension d{>=}4. The model can be expressed as a (d-1)-dimensional O(4) nonlinear {sigma} model in a d-dimensional heat bath. As is well known, the nonlinear {sigma} model alone shows a phase transition. If the quark confinement is

  1. EERE Success Story-Steel Mill Powered by Waste Heat Recovery System |

    Office of Environmental Management (EM)

    Department of Energy Steel Mill Powered by Waste Heat Recovery System EERE Success Story-Steel Mill Powered by Waste Heat Recovery System May 16, 2013 - 12:00am Addthis EERE worked with ArcelorMittal USA, Inc. to install an efficient recovery boiler to burn blast furnace gases generated during iron-making operations to produce electricity and steam onsite at the company's Indiana Harbor Steel Mill in East Chicago, Indiana. The steam is being used to drive existing turbogenerators onsite,

  2. 1987 wet deposition temporal and spatial patterns in North America

    SciTech Connect (OSTI)

    Simpson, J.C.; Olsen, A.R.

    1990-03-01

    The focus of this report is on North American wet deposition temporal patterns from 1979 to 1987 and spatial patterns for 1987. The report investigates the patterns of annual precipitation-weighted average concentration and annual deposition for nine ion species: hydrogen, sulfate, nitrate, ammonium, calcium, chloride, sodium, potassium, and magnesium. Data are from the Acid Deposition System (ADS) for the statistical reporting of North American deposition data which includes the National Atmospheric Deposition Program/National Trends Network (NADP/NTN), the MAP3S precipitation chemistry network, the Utility Acid Precipitation Study Program (UAPSP), the Canadian Precipitation Monitoring Network (CAPMoN), and the daily and 4-weekly Acidic Precipitation in Ontario Study (APIOS-D and APIOS-C). Mosaic maps, based on surface estimation using kriging, display concentration and deposition spatial patterns of pH, hydrogen, sulfate, nitrate, ammonium, and calcium ion species for 1987 annual, winter, and summer periods. The temporal pattern analyses use a subset of 39 sites over a 9-year (1979--1987) period and an expanded subset of 140 sites with greater spatial coverage over a 6-year (1982--1987) period. 68 refs., 15 figs., 15 tabs.

  3. The Integrated Biorefinery: Conversion of Corn Fiber to Value-added Chemicals

    SciTech Connect (OSTI)

    Susanne Kleff

    2007-03-24

    This presentation provides a summary of Michigan Biotechnology Institute's efforts to employ the corn fiber fraction of a dry grind ethanol plant as a feedstock to produce succinic acid which has potential as a building block intermediate for a wide range of commodity chemicals.

  4. Development of a performance-based industrial energy efficiency indicator for corn refining plants.

    SciTech Connect (OSTI)

    Boyd, G. A.; Decision and Information Sciences; USEPA

    2006-07-31

    Organizations that implement strategic energy management programs have the potential to achieve sustained energy savings if the programs are carried out properly. A key opportunity for achieving energy savings that plant managers can take is to determine an appropriate level of energy performance by comparing their plant's performance with that of similar plants in the same industry. Manufacturing facilities can set energy efficiency targets by using performance-based indicators. The U.S. Environmental Protection Agency (EPA), through its ENERGY STAR{reg_sign} program, has been developing plant energy performance indicators (EPIs) to encourage a variety of U.S. industries to use energy more efficiently. This report describes work with the corn refining industry to provide a plant-level indicator of energy efficiency for facilities that produce a variety of products--including corn starch, corn oil, animal feed, corn sweeteners, and ethanol--for the paper, food, beverage, and other industries in the United States. Consideration is given to the role that performance-based indicators play in motivating change; the steps needed to develop indicators, including interacting with an industry to secure adequate data for an indicator; and the actual application and use of an indicator when complete. How indicators are employed in the EPA's efforts to encourage industries to voluntarily improve their use of energy is discussed as well. The report describes the data and statistical methods used to construct the EPI for corn refining plants. Individual equations are presented, as are the instructions for using them in an associated Excel spreadsheet.

  5. From Flour to Grits, a Water-Powered Mill Keeps on Grinding

    Broader source: Energy.gov [DOE]

    A mill owned and operated for six generations by the Weisenberger family has been grinding grains in the heart of Kentucky since the Civil War. In 1862, August Weisenberger emigrated from Baden,...

  6. EERE Success Story—From Flour to Grits, a Water-Powered Mill Keeps on Grinding

    Broader source: Energy.gov [DOE]

    By 1913, the old mill had become structurally unsound and was demolished and later rebuilt. The family also replaced the water wheel with more efficient twin hydropower turbine and generator units,...

  7. EA-1155: Ground-water Compliance Activities at the Uranium Mill Tailings Site, Spook, Wyoming

    Broader source: Energy.gov [DOE]

    This EA evaluates the environmental impacts for the proposal to comply with the Environmental Protection Agency's ground-water standards set forth in 40 CFR 192 at the Spook, Wyoming Uranium Mill...

  8. Moab Uranium Mill Tailings Cleanup Project Steps into Spotlight at International Meeting in Vienna

    Broader source: Energy.gov [DOE]

    VIENNA – The Moab Uranium Mill Tailings Remedial Action (UMTRA) Project has kept the United States at the forefront of characterization, remediation, and end-state reuse of uranium millsites around the world.

  9. Moab Project Disposes 2 Million Tons of Uranium Mill Tailings with Recovery Act Funds

    Broader source: Energy.gov [DOE]

    The Moab Uranium Mill Tailings Remedial Action Project reached its primary American Recovery and Reinvestment Act milestone ahead of schedule on Wednesday with the disposal of 2 million tons of...

  10. Longest-Serving Active Paper Mill in the Western United States...

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

    Western United States Uncovers New Ways to Save Energy This case study describes how West Linn Paper Company's coated paper mill in West Linn, Oregon, saved nearly 58,200 MMBtu...

  11. DOE Amends Decision for the Remediation of the Moab Uranium Mill Tailings in Moab, Utah

    Broader source: Energy.gov [DOE]

    WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced an amendment to its 2005 Record of Decision (ROD) for the Moab Uranium Mill Tailings Remedial Action (UMTRA) Project to allow...

  12. Subject: Proposed 216(h) Regulations To: Brian.Mills@hq.doe...

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

    February 12, 2012 Subject: Proposed 216(h) Regulations To: Brian.Mills@hq.doe.gov and Lot.Cooke@hq.doe.gov. We appreciate the opportunity to review the Proposed Regulation for ...

  13. 2013 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings

    Office of Scientific and Technical Information (OSTI)

    Radiation Control Act Title I Disposal Sites (Technical Report) | SciTech Connect Technical Report: 2013 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites Citation Details In-Document Search Title: 2013 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites This report, in fulfillment of a license requirement, presents the results of long-term surveillance and

  14. 2013 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings

    Office of Scientific and Technical Information (OSTI)

    Radiation Control Act Title I Disposal Sites (Technical Report) | SciTech Connect Technical Report: 2013 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites Citation Details In-Document Search Title: 2013 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product

  15. 2013 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings

    Office of Scientific and Technical Information (OSTI)

    Radiation Control Act Title II Disposal Sites (Technical Report) | SciTech Connect 2013 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title II Disposal Sites Citation Details In-Document Search Title: 2013 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title II Disposal Sites This report, in fulfillment of a license requirement, presents the results of long-term surveillance and maintenance

  16. Moab Mill Tailings Removal Project Reaches 5 Million Tons Disposed: Project

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

    Accomplishes Milestone While Doing it Safely | Department of Energy Moab Mill Tailings Removal Project Reaches 5 Million Tons Disposed: Project Accomplishes Milestone While Doing it Safely Moab Mill Tailings Removal Project Reaches 5 Million Tons Disposed: Project Accomplishes Milestone While Doing it Safely February 27, 2012 - 12:00pm Addthis Media Contacts Donald Metzler, Moab Federal Project Director, (970) 257-2115 Wendee Ryan, S&K Aerospace Public Affairs Manager, (970) 257-2145

  17. Moab Mill Tailings Pile 25 Percent Disposed: DOE Moab Project Reaches

    Office of Environmental Management (EM)

    Significant Milestone | Department of Energy Pile 25 Percent Disposed: DOE Moab Project Reaches Significant Milestone Moab Mill Tailings Pile 25 Percent Disposed: DOE Moab Project Reaches Significant Milestone June 3, 2011 - 12:00pm Addthis Media Contacts Donald Metzler Moab Federal Project Director (970) 257-2115 Wendee Ryan S&K Aerospace Public Affairs Manager (970) 257-2145 Grand Junction, CO - One quarter of the uranium mill tailings pile located in Moab, Utah, has been relocated to

  18. SURVEY OF ROLLING MILL USED BY BETHLEHEM STEEL CORPORATION LACKAWANNA, NEW YORK

    Office of Legacy Management (LM)

    SURVEY OF ROLLING MILL USED BY BETHLEHEM STEEL CORPORATION LACKAWANNA, NEW YORK Work performed by the Health and Safety Research Division Gak Ridge fiational Laboratory Oak Ridge, Tennessee 37830 September 1980 OAK RIDGE NATIONAL LABORATORY operated by UNION CARBIDE CORPORATION for the DEPARTMENT OF ENERGY as part of the Formerly Utilized Sites!- Remedial Action Program SURVEY OF ROLLING MILL USED BY BETHLEHEM STEEL CORPORATION LACKAWANNA, NEW YORK A radiological survey was conducted at the

  19. Uranium Mill Tailings Remedial Action Project 1994 environmental report

    SciTech Connect (OSTI)

    1995-08-01

    This annual report documents the Uranium Mill Tailings Remedial Action (UMTRA) Project environmental monitoring and protection program. The UMTRA Project routinely monitors radiation, radioactive residual materials, and hazardous constituents at associated former uranium tailings processing sites and disposal sites. At the end of 1994, surface remedial action was complete at 14 of the 24 designated UMTRA Project processing sites: Canonsburg, Pennsylvania; Durango, Colorado; Grand Junction, Colorado; Green River Utah, Lakeview, Oregon; Lowman, Idaho; Mexican Hat, Utah; Riverton, Wyoming; Salt Lake City, Utah; Falls City, Texas; Shiprock, New Mexico; Spook, Wyoming, Tuba City, Arizona; and Monument Valley, Arizona. Surface remedial action was ongoing at 5 sites: Ambrosia Lake, New Mexico; Naturita, Colorado; Gunnison, Colorado; and Rifle, Colorado (2 sites). Remedial action has not begun at the 5 remaining UMTRA Project sites that are in the planning stage. Belfield and Bowman, North Dakota; Maybell, Colorado; and Slick Rock, Colorado (2 sites). The ground water compliance phase of the UMTRA Project started in 1991. Because the UMTRA Project sites are.` different stages of remedial action, the breadth of the UMTRA environmental protection program differs from site to site. In general, sites actively undergoing surface remedial action have the most comprehensive environmental programs for sampling media. At sites where surface remedial action is complete and at sites where remedial action has not yet begun, the environmental program consists primarily of surface water and ground water monitoring to support site characterization, baseline risk assessments, or disposal site performance assessments.

  20. Structural and microstructural changes in monoclinic ZrO{sub 2} during the ball-milling with stainless steel assembly

    SciTech Connect (OSTI)

    Stefanic, G. . E-mail: stefanic@irb.hr; Music, S.; Gajovic, A.

    2006-04-13

    High-energy ball-milling of monoclinic ZrO{sub 2} was performed in air using the planetary ball mill with a stainless steel milling assembly. Structural and microstructural changes during the ball-milling were monitored using X-ray powder diffraction, Raman spectroscopy, Moessbauer spectroscopy, field emission scanning electron microscopy and energy dispersive X-ray spectrometry. The results of line broadening analysis indicated a decrease in the crystallite size and an increase in the microstrains with the ball-milling time increased up to {approx}150 min. The results of quantitative phase analysis indicated the presence of a very small amount of tetragonal ZrO{sub 2} phase in this early stage of ball-milling. The onset of m-ZrO{sub 2} {sup {yields}} t-ZrO{sub 2} transition occurred between 10 and 15 h of ball-milling, which resulted in a complete transition after 20 h of ball-milling. Further ball-milling caused a decrease of the t-ZrO{sub 2} lattice parameters followed by a probable transition into c-ZrO{sub 2}. It was concluded that the stabilization of t- and c-ZrO{sub 2} polymorphs at RT can be attributed to the incorporation of aliovalent cations (Fe{sup 2+}, Fe{sup 3+} and Cr{sup 3+}) introduced into the sample due to the wear and oxidation of the milling media.

  1. Building Technologies Program: Tax Deduction Qualified Software- Owens Corning Commercial Energy Calculator (OC-CEC) version 1.1

    Broader source: Energy.gov [DOE]

    Provides required documentation that Owens Corning Commercial Energy Calculator (OC-CEC) version 1.1 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

  2. WETTABILITY AND IMBIBITION: MICROSCOPIC DISTRIBUTION OF WETTING AND ITS CONSEQUENCES AT THE CORE AND FIELD SCALES

    SciTech Connect (OSTI)

    Jill S. Buckley; Norman R. Morrow; Chris Palmer; Purnendu K. Dasgupta

    2003-02-01

    The questions of reservoir wettability have been approached in this project from three directions. First, we have studied the properties of crude oils that contribute to wetting alteration in a reservoir. A database of more than 150 different crude oil samples has been established to facilitate examination of the relationships between crude oil chemical and physical properties and their influence on reservoir wetting. In the course of this work an improved SARA analysis technique was developed and major advances were made in understanding asphaltene stability including development of a thermodynamic Asphaltene Solubility Model (ASM) and empirical methods for predicting the onset of instability. The CO-Wet database is a resource that will be used to guide wettability research in the future. The second approach is to study crude oil/brine/rock interactions on smooth surfaces. Contact angle measurements were made under controlled conditions on mica surfaces that had been exposed to many of the oils in the CO-Wet database. With this wealth of data, statistical tests can now be used to examine the relationships between crude oil properties and the tendencies of those oils to alter wetting. Traditionally, contact angles have been used as the primary wetting assessment tool on smooth surfaces. A new technique has been developed using an atomic forces microscope that adds a new dimension to the ability to characterize oil-treated surfaces. Ultimately we aim to understand wetting in porous media, the focus of the third approach taken in this project. Using oils from the CO-Wet database, experimental advances have been made in scaling the rate of imbibition, a sensitive measure of core wetting. Application of the scaling group to mixed-wet systems has been demonstrated for a range of core conditions. Investigations of imbibition in gas/liquid systems provided the motivation for theoretical advances as well. As a result of this project we have many new tools for studying wetting at microscopic and macroscopic scales and a library of well-characterized fluids for use in studies of crude oil/brine/rock interactions.

  3. ChemCam follows the 'Yellowknife Road' to Martian wet area

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

    'Yellowknife Road' to martian wet area ChemCam follows the 'Yellowknife Road' to martian wet area Researchers have tracked a trail of minerals that point to the prior presence of water at the Curiosity rover site on Mars. January 15, 2013 The Mars Science Laboratory's Curiosity Rover recently took this photo of the Martian landscape looking toward Mount Sharp while on its way toward Yellowknife Bay-an area where researchers have found minerals indicating the past presence of water. (NASA Photo)

  4. Safety Aspects of Wet Storage of Spent Nuclear Fuel, OAS-L-13-11

    Energy Savers [EERE]

    Safety Aspects of Wet Storage of Spent Nuclear Fuel OAS-L-13-11 July 2013 Department of Energy Washington, DC 20585 July 10, 2013 MEMORANDUM FOR THE SENIOR ADVISOR FOR ENVIRONMENTAL MANAGEMENT FROM: Daniel M. Weeber Assistant Inspector General for Audits and Administration Office of Inspector General SUBJECT: INFORMATION: Audit Report on "Safety Aspects of Wet Storage of Spent Nuclear Fuel" BACKGROUND The Department of Energy (Department) is responsible for managing and storing spent

  5. Heat Transfer Characteristics of the Wet Thermal Insulator with Multi-layer

    SciTech Connect (OSTI)

    Jong-Won Kim; Goon-Cherl Park; Tae-Wan Kim; Doo-Jeong Lee

    2006-07-01

    SMART developed in KAERI is an integral type nuclear cogeneration reactor. SMART uses a nitrogen-filled gas pressurizer so that the steam partial pressure should be minimized and the pressurizer should be under low temperature condition. To sustain the low temperature condition, the wet thermal insulator and pressurizer cooler are installed in the pressurizer. Since the performance of wet thermal insulator is an important parameter to determine the size of the pressurizer cooler, it is important to evaluate the insulation performance of the wet thermal insulator. The wet thermal insulators with 20 layers are installed in SMART. In the design of SMART, the empirical correlation by Adamovich was used to estimate the thermal resistance of the wet thermal insulator. However, the experimental condition and results are not clear so that this correlation should be verified. To analyze the heat transfer characteristics of the multi-layer wet thermal insulator, natural convective heat transport through horizontal and vertical water-filled layers is investigated. Experiments and numerical analyses have been performed to evaluate the heat transfer rates through multi-layer and verify Adamovich correlation. In addition, a new multi-layer correlation was obtained. (authors)

  6. Energy and greenhouse gas emission effects of corn and cellulosic ethanol with technology improvements and land use changes.

    SciTech Connect (OSTI)

    Wang, M.; Han, J.; Haq, Z; Tyner, .W.; Wu, M.; Elgowainy, A.

    2011-05-01

    Use of ethanol as a transportation fuel in the United States has grown from 76 dam{sup 3} in 1980 to over 40.1 hm{sup 3} in 2009 - and virtually all of it has been produced from corn. It has been debated whether using corn ethanol results in any energy and greenhouse gas benefits. This issue has been especially critical in the past several years, when indirect effects, such as indirect land use changes, associated with U.S. corn ethanol production are considered in evaluation. In the past three years, modeling of direct and indirect land use changes related to the production of corn ethanol has advanced significantly. Meanwhile, technology improvements in key stages of the ethanol life cycle (such as corn farming and ethanol production) have been made. With updated simulation results of direct and indirect land use changes and observed technology improvements in the past several years, we conducted a life-cycle analysis of ethanol and show that at present and in the near future, using corn ethanol reduces greenhouse gas emission by more than 20%, relative to those of petroleum gasoline. On the other hand, second-generation ethanol could achieve much higher reductions in greenhouse gas emissions. In a broader sense, sound evaluation of U.S. biofuel policies should account for both unanticipated consequences and technology potentials. We maintain that the usefulness of such evaluations is to provide insight into how to prevent unanticipated consequences and how to promote efficient technologies with policy intervention.

  7. Cost of radon-barrier systems for uranium mill tailings

    SciTech Connect (OSTI)

    Baker, E.G.; Hartley, J.N.

    1982-08-01

    This report deals specifically with the cost of three types of radon barrier systems, earthen covers, asphalt emulsion covers, and multilayer covers, which could meet standards proposed by the Environmental Protection Agency to stabilize uranium mill tailings located primarily in the western US. In addition, the report includes a sensitivity analysis of various factors which significantly effect the overall cost of the three systems. These analyses were based on a generic disposal site. Four different 3m thick earthen covers were tested and cost an average of $27/m/sup 2/. The least expensive earthen cover cost was about $21/m/sup 2/. The asphalt cover system (6 to 7 cm of asphalt topped with 0.6m of overburden) cost about $28/m/sup 2/. The four multilayer covers averaged $57/m/sup 2/, but materials handling problems encountered during the test inflated this cost above what was anticipated and significant cost reductions should be possible. The least expensive multilayer cover cost $43/m/sup 2/. Based on the results of the Grand Junction field test we estimated the cost of covering the tailings from three high priority sites, Durango, Shiprock, and Salt Lake City (Vitro). The cost of a 3m earthen cover ranged from $18 to 33/m/sup 2/ for the seven disposal sites (two or three at each location) studied. The cost of asphalt cover systems were $23 to 28/m/sup 2/ and the multilayer cover costs were between $31 to 36/m/sup 2/. The earthen cover costs are less than the Grand Junction field test cost primarily because cover material is available at or near most of the disposal sites selected. Earthen material was imported from 6 to 10 miles for the field test. Assuming more efficienct utilization of materials significantly reduced the cost of the multilayer covers.

  8. Monticello Mill Tailings, Operable Unit III Surface and Ground Water Remedial Investigation Addendum/Focused Feasibility Study

    Office of Legacy Management (LM)

    S H E E T November 2003 Figure 1. Monticello Millsite Location Background The Monticello Mill Tailings Site is a former ore-buying station and vanadium and uranium mill that operated from about 1942 through 1959 (see Figure 1). The former millsite and nearby properties are being cleaned up as required by the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA). The Monticello Mill Tailings Site was placed on the U.S. Environmental Protection Agency National Priorities

  9. Enzymatic Digestibility of Corn Stover Fractions in Response to Fungal Pretreatment

    SciTech Connect (OSTI)

    Cui, Z. F.; Wan, C. X.; Shi, J.; Sykes, R. W.; Li, Y. B.

    2012-05-30

    Corn stover fractions (leaves, cobs, and stalks) were studied for enzymatic digestibility after pretreatment with a white rot fungus, Ceriporiopsis subvermispora. Among the three fractions, leaves had the least recalcitrance to fungal pretreatment and the lignin degradation reached 45% after 30 days of pretreatment. The lignin degradation of stalks and cobs was similar but was significantly lower than that of leaves (p < 0.05). For all fractions, xylan and glucan degradation followed a pattern similar to lignin degradation, with leaves having a significantly higher percentage of degradation (p < 0.05). Hydrolytic enzyme activity also revealed that the fungus was more active in the degradation of carbohydrates in leaves. As a result of fungal pretreatment, the highest sugar yield, however, was obtained with corn cobs.

  10. Life-cycle assessment of corn-based butanol as a potential transportation fuel.

    SciTech Connect (OSTI)

    Wu, M.; Wang, M.; Liu, J.; Huo, H.; Energy Systems

    2007-12-31

    Butanol produced from bio-sources (such as corn) could have attractive properties as a transportation fuel. Production of butanol through a fermentation process called acetone-butanol-ethanol (ABE) has been the focus of increasing research and development efforts. Advances in ABE process development in recent years have led to drastic increases in ABE productivity and yields, making butanol production worthy of evaluation for use in motor vehicles. Consequently, chemical/fuel industries have announced their intention to produce butanol from bio-based materials. The purpose of this study is to estimate the potential life-cycle energy and emission effects associated with using bio-butanol as a transportation fuel. The study employs a well-to-wheels analysis tool--the Greenhouse Gases, Regulated Emissions and Energy Use in Transportation (GREET) model developed at Argonne National Laboratory--and the Aspen Plus{reg_sign} model developed by AspenTech. The study describes the butanol production from corn, including grain processing, fermentation, gas stripping, distillation, and adsorption for products separation. The Aspen{reg_sign} results that we obtained for the corn-to-butanol production process provide the basis for GREET modeling to estimate life-cycle energy use and greenhouse gas emissions. The GREET model was expanded to simulate the bio-butanol life cycle, from agricultural chemical production to butanol use in motor vehicles. We then compared the results for bio-butanol with those of conventional gasoline. We also analyzed the bio-acetone that is coproduced with bio-butanol as an alternative to petroleum-based acetone. Our study shows that, while the use of corn-based butanol achieves energy benefits and reduces greenhouse gas emissions, the results are affected by the methods used to treat the acetone that is co-produced in butanol plants.

  11. Cleanup of inactive Uranium Mill Tailings Sites in the Navajo Nation

    SciTech Connect (OSTI)

    Martin, B.

    1994-12-31

    The U.S. Congress passed the Uranium Mill Tailings Radiation Control Act (UMTRCA) in 1978 to address potential and significant radiation health hazards to the public from active and inactive mill operations. Title I to the UMTRCA identified sites to be designated for remedial action. These include four uranium mill tailings remedial action (UMTRA) sites in the Navajo Nation. These sites are located in Shiprock, New Mexico; Tuba City, Arizona; Cane Valley, Arizona; and Halchita, Utah. The U.S. Department of Energy (DOE) was directed to select and execute a plan of remedial action that provides long-term stabilization and control of radioactive materials and satisfies the U.S. Environmental Protection Agency standards and other applicable laws and regulations.

  12. Radiating black holes in Einstein-Yang-Mills theory and cosmic censorship

    SciTech Connect (OSTI)

    Ghosh, Sushant G.; Dadhich, Naresh

    2010-08-15

    Exact nonstatic spherically symmetric black-hole solutions of the higher dimensional Einstein-Yang-Mills equations for a null dust with Yang-Mills gauge charge are obtained by employing Wu-Yang ansatz, namely, HD-EYM Vaidya solution. It is interesting to note that gravitational contribution of Yang-Mills (YM) gauge charge for this ansatz is indeed opposite (attractive rather than repulsive) that of Maxwell charge. It turns out that the gravitational collapse of null dust with YM gauge charge admits strong curvature shell focusing naked singularities violating cosmic censorship. However, there is significant shrinkage of the initial data space for a naked singularity of the HD-Vaidya collapse due to presence of YM gauge charge. The effect of YM gauge charge on structure and location of the apparent and event horizons is also discussed.

  13. Assessment of the radiological impact of the inactive uranium-mill tailings at Mexican Hat, Utah

    SciTech Connect (OSTI)

    Haywood, F.F.; Goldsmith, W.A.; Ellis, B.S.; Hubbard, H.M. Jr.; Fox, W.F.; Shinpaugh, W.H.

    1980-03-01

    High surface soil concentrations of /sup 226/Ra and high above-ground measurements of gamma-ray intensity in the vicinity of the inactive uranium-mill tailings at Mexican Hat show both wind and water erosion of the tailings. The former mill area, occupied by a trade school at the time of this survey, shows a comparatively high level of contamination, probably from unprocessed ore on the surface of the ore storage area near the location of the former mill buildings. However, the estimated health effect of exposure to gamma rays during a 2000-hr work year in the area represents an increase of 0.1% in the risk of death from cancer. Exposure of less than 600 persons within 1.6 km of the tailings to radon daughters results in an estimated 0.2%/year increase in risk of lung cancer.

  14. Scientific basis for risk assessment and management of uranium mill tailings

    SciTech Connect (OSTI)

    Not Available

    1986-01-01

    A National Research Council study panel, convened by the Board on Radioactive Waste Management, has examined the scientific basis for risk assessment and management of uranium mill tailings and issued this final report containing a number of recommendations. Chapter 1 provides a brief introduction to the problem. Chapter 2 examines the processes of uranium extraction and the mechanisms by which radionuclides and toxic chemicals contained in the ore can enter the environment. Chapter 3 is devoted to a review of the evidence on health risks associated with radon and its decay products. Chapter 4 provides a consideration of conventional and possible new technical alternatives for tailings management. Chapter 5 explores a number of issues of comparative risk, provides a brief history of uranium mill tailings regulation, and concludes with a discussion of choices that must be made in mill tailing risk management. 211 refs., 30 figs., 27 tabs.

  15. Radiological survey of the inactive uranium-mill tailings at Rifle, Colorado

    SciTech Connect (OSTI)

    Haywood, F.F.; Jacobs, D.J.; Ellis, B.S.; Hubbard, H.M. Jr.; Shinpaugh, W.H.

    1980-06-01

    Results of radiological surveys of two inactive uranium-mill sites near Rifle, Colorado, in May 1976 are presented. These sites are referred to as Old Rifle and New Rifle. The calculated /sup 226/Ra inventory of the latter site is much higher than at the older mill location. Data on above-ground measurements of gamma exposure rates, surface and near-surface concentration of /sup 226/Ra in soil and sediment samples, concentration of /sup 226/Ra in water, calculated subsurface distribution of /sup 226/Ra, and particulate radionuclide concentrations in air samples are given. The data serve to define the extent of contamination in the vicinity of the mill sites and their immediate surrounding areas with tailings particles. Results of these measurements were utilized as technical input for an engineering assessment of these two sites.

  16. Microbial Enhanced Oil Recovery in Fractional-Wet Systems: A Pore-Scale Investigation

    SciTech Connect (OSTI)

    Armstrong, Ryan T.; Wildenschild, Dorthe

    2012-10-24

    Microbial enhanced oil recovery (MEOR) is a technology that could potentially increase the tertiary recovery of oil from mature oil formations. However, the efficacy of this technology in fractional-wet systems is unknown, and the mechanisms involved in oil mobilization therefore need further investigation. Our MEOR strategy consists of the injection of ex situ produced metabolic byproducts produced by Bacillus mojavensis JF-2 (which lower interfacial tension (IFT) via biosurfactant production) into fractional-wet cores containing residual oil. Two different MEOR flooding solutions were tested; one solution contained both microbes and metabolic byproducts while the other contained only the metabolic byproducts. The columns were imaged with X-ray computed microtomography (CMT) after water flooding, and after MEOR, which allowed for the evaluation of the pore-scale processes taking place during MEOR. Results indicate that the larger residual oil blobs and residual oil held under relatively low capillary pressures were the main fractions recovered during MEOR. Residual oil saturation, interfacial curvatures, and oil blob sizes were measured from the CMT images and used to develop a conceptual model for MEOR in fractional-wet systems. Overall, results indicate that MEOR was effective at recovering oil from fractional-wet systems with reported additional oil recovered (AOR) values between 44 and 80%; the highest AOR values were observed in the most oil-wet system.

  17. DOE Awards Contract for Moab Mill Tailings Cleanup | Department of Energy

    Office of Environmental Management (EM)

    Moab Mill Tailings Cleanup DOE Awards Contract for Moab Mill Tailings Cleanup November 4, 2011 - 12:00pm Addthis Media Contact Bill Taylor bill.taylor@srs.gov 803-952-8564 Cincinnati- The Department of Energy (DOE) announced today that it has awarded a competitive small business contract worth $121.2 million over the next five years as part of the Department's continued efforts to protect the Colorado River and downstream water users by removing uranium tailings at the former Atlas uranium-ore

  18. Vibration mills in the manufacturing technology of slurry fuel from unbeneficiated coal sludge

    SciTech Connect (OSTI)

    E.G. Gorlov; A.I. Seregin; G.S. Khodakov [Institute for Fossil Fuels, Moscow (Russia)

    2008-08-15

    Coal-water slurry fuel (CWSF) is economically viable provided that its ash content does not exceed 30% and the amount water in the fuel is at most 45%. Two impoundments were revealed that have considerable reserves of waste coal useful for commercial manufacture of CWSF without the beneficiation step. One of the CWSF manufacture steps is the comminution of coal sludge to have a particle size required by the combustion conditions. Vibration mills, which are more compact and energy-intensive that drum mills, can be used in the CWSG manufacture process. The rheological characteristics of CWSF obtained from unbeneficiated waste coal were determined.

  19. Monticello Mill Tailings Site Operable Unit I11 Remedial Investigation Addendum1

    Office of Legacy Management (LM)

    Monticello Mill Tailings Site Operable Unit I11 Remedial Investigation Addendum1 Focused Feasibility Study January 2004 Prepared by U.S. Department of Energy Grand Junction, Colorado Work performed under DOE Contract No. DE-AC1342GJ79491 DOE Task Order No. ST03-205 Document N u m b e r Q0029500 S i g t ~ a t u r e Page Signature Page Monticello Mill Tailings Site Operable Unit I11 Remedial Investigation Addendud Focused Feasibility Study January 2004 Submitted By: Arthur W. Kleinrath, Project

  20. Process for Transition of Uranium Mill Tailings Radiation Control Act Title

    Energy Savers [EERE]

    II Disposal Sites to the U.S. Department of Energy Office of Legacy Management for Long-Term Surveillance and Maintenance | Department of Energy Uranium Mill Tailings Radiation Control Act Title II Disposal Sites to the U.S. Department of Energy Office of Legacy Management for Long-Term Surveillance and Maintenance Process for Transition of Uranium Mill Tailings Radiation Control Act Title II Disposal Sites to the U.S. Department of Energy Office of Legacy Management for Long-Term

  1. DOE Moab Project Safely Removes 7 Million Tons of Mill Tailings |

    Office of Environmental Management (EM)

    Department of Energy Moab Project Safely Removes 7 Million Tons of Mill Tailings DOE Moab Project Safely Removes 7 Million Tons of Mill Tailings July 30, 2014 - 12:00pm Addthis View of the Crescent Junction disposal cell, looking northwest. From center left to right, the photo shows final cover, interim cover, tailings, and excavated cell ready to be filled. View of the Crescent Junction disposal cell, looking northwest. From center left to right, the photo shows final cover, interim cover,

  2. A round robin evaluation of the corrosiveness of wet residential insulation by electrochemical measurements

    SciTech Connect (OSTI)

    Stansbury, E.E. , Knoxville, TN )

    1991-10-01

    The results of a round cabin evaluation of the use of an electrochemical method of calculating the corrosion rate of low carbon steel in environments related to cellulosic building insulations are reported. Environments included the leachate from a wet cellulosic insulation and solutions based on pure and commercial grades of borax, ammonium sulfate and aluminum sulfate. The pH values of these environments were in the range of 2.5 to 9.5. Electrochemical measurements were made using a direct reading corrosion rate instrument. The calculated corrosion rates were compared with those determined directly by weight loss measurements. Electrochemical measurements were made over a period of 48 hours and weight loss exposures were for two weeks. Poor agreement was observed for the corrosion rates determined electrochemically and the values were consistently larger than those based on weight loss. Reasons proposed for these results included the complex nature of the corrosion product deposits and the control these deposits have on oxygen diffusion to the metal interface. Both factors influence the validity of the calculation of the corrosion rate by the direct reading instrument. It was concluded that development of a viable electrochemical method of general applicability to the evaluation of the corrosiveness of wet residential building thermal insulations were doubtful. Because of the controlling influence of dissolved oxygen on the corrosion rate in the insulation leachate, an alternate evaluation method is proposed in which a thin steel specimen is partially immersed in wet insulation for three weeks. The corrosiveness of the wet insulation is evaluated in terms of the severity of attack near the metal-air-wet insulation interface. With thin metal specimens, complete penetration along the interface is proposed as a pass/fail criterion. An environment of sterile cotton wet with distilled water is proposed as a comparative standard. 9 refs., 2 figs., 3 tabs.

  3. Kansas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Kansas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 167 1980's 185 139 112 132 110 115 132 115 103 101 1990's 114 115 94 93 75 67 82 51 60 52 2000's 40 105 66 85 80 83 82 83 85 83 2010's 79 127 326 433 657 - = No Data Reported;

  4. Louisiana - South Onshore Associated-Dissolved Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) South Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana - South Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,304 1980's 2,134 1,871 1,789 1,582 1,488 1,792 1,573 1,380 1,338 1,273 1990's 1,106 995 853 649 678 720 627 599 630 599

  5. Louisiana State Offshore Associated-Dissolved Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana State Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 449 251 260 207 231 1990's 207 207 154 157 168 148 157 130 98 120 2000's 129 145 84 79 61 63 56 65 686 513 2010's 107 51 128 88 68 - = No

  6. California State Offshore Associated-Dissolved Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California State Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 226 1980's 160 244 232 221 206 1990's 188 55 59 63 59 56 47 54 39 58 2000's 86 80 85 76 85 89 85 79 54 53 2010's 63 79 65 75 76 - = No Data

  7. Development of a two-body wet abrasion test method with attention to the

    Office of Scientific and Technical Information (OSTI)

    effects of reused abradant (Conference) | SciTech Connect Development of a two-body wet abrasion test method with attention to the effects of reused abradant Citation Details In-Document Search Title: Development of a two-body wet abrasion test method with attention to the effects of reused abradant Abrasive wear is among the most common and costliest causes for material wastage, and it occurs in many forms. A simple method has been developed to quantify the response of metals and alloys to

  8. ,"Montana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  9. ,"Ohio Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  10. ,"Oklahoma Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  11. ,"Pennsylvania Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  12. ,"U.S. Natural Gas Proved Reserves, Wet After Lease Separation"

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

    Proved Reserves, Wet After Lease Separation" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Proved Reserves, Wet After Lease Separation",10,"Annual",2014,"6/30/1979" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  13. ,"U.S. Nonassociated Natural Gas Proved Reserves, Wet After Lease Separation"

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

    Gas Proved Reserves, Wet After Lease Separation" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Nonassociated Natural Gas Proved Reserves, Wet After Lease Separation",10,"Annual",2014,"6/30/1979" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  14. ,"Utah Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  15. ,"Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  16. ,"Wyoming Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  17. Texas - RRC District 1 Associated-Dissolved Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 1 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 209 1980's 172 180 216 175 170 260 241 205 204 251 1990's 333 401 361 191 151 248 446 68 51 67 2000's 69 43 47 48 45 57 61 72 60 67 2010's 267

  18. Texas - RRC District 10 Associated-Dissolved Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) 0 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 10 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 484 1980's 546 456 489 537 617 560 537 482 424 364 1990's 311 298 396 264 264 254 253 227 234 241 2000's 289 255 271 252 249 253 316 436

  19. Texas - RRC District 2 Onshore Associated-Dissolved Natural Gas, Wet After

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

    Lease Separation, Proved Reserves (Billion Cubic Feet) 2 Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 2 Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 955 1980's 921 806 780 747 661 570 517 512 428 430 1990's 407 352 308 288 299 245 252 235 204 202 2000's 115 65 70 81

  20. Texas - RRC District 4 Onshore Associated-Dissolved Natural Gas, Wet After

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

    Lease Separation, Proved Reserves (Billion Cubic Feet) 4 Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 4 Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,416 1980's 1,292 1,005 890 765 702 684 596 451 393 371 1990's 301 243 228 215 191 209 246 368 394 182 2000's 176 140

  1. Texas - RRC District 5 Associated-Dissolved Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) 5 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 5 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 62 1980's 75 44 47 52 44 40 69 118 101 136 1990's 116 89 126 141 148 47 53 68 89 49 2000's 128 83 65 62 58 51 57 50 40 21 2010's 8 40 53 177

  2. Texas - RRC District 6 Associated-Dissolved Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) 6 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 6 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 868 1980's 954 869 881 943 938 874 822 811 728 695 1990's 668 638 606 607 547 611 562 578 580 545 2000's 464 412 400 387 402 344 276 247 412

  3. Texas - RRC District 7B Associated-Dissolved Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) 7B Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 7B Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 234 1980's 332 292 214 338 292 276 244 282 264 196 1990's 214 157 170 187 181 276 232 260 204 190 2000's 114 88 57 69 76 73 74 62 68 102

  4. Texas - RRC District 7B Nonassociated Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) B Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 7B Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 608 1980's 530 655 733 872 645 574 589 546 576 364 1990's 413 379 380 393 332 263 378 299 306 275 2000's 242 203 237 314 288 859 1,589 2,350 2,682 2,322

  5. Texas - RRC District 7C Associated-Dissolved Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) C Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 7C Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 653 1980's 520 685 704 705 776 780 666 737 727 721 1990's 768 759 748 633 631 640 692 596 557 616 2000's 693 634 737 927 994 1,037 1,196

  6. Texas - RRC District 8A Nonassociated Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) 8A Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 8A Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 71 1980's 69 59 37 44 43 39 34 30 24 16 1990's 21 21 13 12 15 15 18 41 18 44 2000's 69 82 101 100 95 85 82 88 63 43 2010's 58 31 20 23 24 - = No Data

  7. Texas - RRC District 9 Associated-Dissolved Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) 9 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 9 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 175 1980's 249 274 299 255 274 290 263 267 241 212 1990's 214 200 184 178 148 138 121 147 199 180 2000's 209 124 140 125 110 126 105 139 158

  8. Texas State Offshore Associated-Dissolved Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas State Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 25 24 24 10 20 19 1990's 17 8 7 4 3 7 6 10 5 6 2000's 1 2 5 6 9 3 1 3 5 3 2010's 3 5 6 3 0 - = No Data Reported; -- = Not Applicable; NA = Not

  9. New Mexico - West Associated-Dissolved Natural Gas, Wet After Lease

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

    Separation, Proved Reserves (Billion Cubic Feet) West Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New Mexico - West Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 151 1980's 156 150 146 180 194 181 214 213 259 178 1990's 184 156 127 107 97 119 108 106 98 92 2000's 115 99 103 89 90 98 82 87 86 82 2010's

  10. North Dakota Associated-Dissolved Natural Gas, Wet After Lease Separation,

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

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) North Dakota Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 201 1980's 239 253 248 257 267 331 293 276 266 313 1990's 334 243 266 274 275 263 255 257 261 250 2000's 264 270 315 316 320 343 357 417 484 1,070 2010's 1,717

  11. Ohio Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved

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

    Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Ohio Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,047 1980's 1,417 800 984 1,635 1,178 938 898 594 480 589 1990's 371 376 381 343 315 355 399 391 342 402 2000's 469 340 346 304 208 184 174 101 99 97 2010's 90 74 223 314 208 - =

  12. ,"Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  13. ,"Alaska Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  14. ,"Arkansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  15. ,"California Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  16. ,"Colorado Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  17. ,"Florida Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  18. ,"Kansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  19. ,"Kentucky Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  20. ,"Louisiana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  1. ,"Michigan Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  2. ,"Mississippi Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  3. Utah Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved

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

    Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Utah Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 367 1980's 414 335 325 360 341 391 410 471 475 442 1990's 455 469 309 289 286 277 301 310 209 321 2000's 348 303 359 299 290 308 317 368 321 601 2010's 631 909 1,001 895 872 - =

  4. West Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation,

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

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) West Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 76 1980's 122 63 83 86 73 73 65 150 141 98 1990's 86 159 198 190 133 74 71 59 43 88 2000's 98 48 21 23 20 19 16 16 23 24 2010's 29 52 21 70 32 - = No Data

  5. WMU Power Generation Study Task 2.0 Corn Cob Co-Combustion Study

    SciTech Connect (OSTI)

    2009-09-30

    Much attention has been focused on renewable energy use in large-scale utilities and very small scale distributed energy systems. However, there is little information available regarding renewable energy options for midscale municipal utilities. The Willmar Municipal Utilities Corn Cob-Coal Co-Combustion Project was initiated to investigate opportunities available for small to midscale municipal utilities to "go green". The overall goal of the Project was to understand the current t'enewable energy research and energy efficiency projects that are or have been implemented at both larger and smaller scale and determine the applicability to midscale municipal utilities. More specific objectives for Task 2.0 of this project were to determine the technical feasibility of co-combusting com cobs with coal in the existing WMU boiler, and to identify any regulatory issues that might need to be addressed if WMU were to obtain a significant portion of its heat from such co-combustion. This report addresses the issues as laid out in the study proposal. The study investigated the feasibility of and demonstrated the technical effectiveness of co-combusting corn cobs with coal in the Willmar Municipal Utilities stoker boiler steam generation power plant. The results of the WMU Co-Combustion Project will serve as a model for other midscale utilities who wish to use corn cobs to generate renewable electrical energy. As a result of the Co-Combustion Project, the WMU plans to upgrade their stoker boiler to accept whole corn cobs as well as other types of biomass, while still allowing the fuel delivery system to use 100% coal as needed. Benefits of co-combustion will include: energy security, reduced Hg and CO2 air emissions, improved ash chemistry, potential future carbon credit sales, an immediate positive effect on the local economy, and positive attention focused on the WMU and the City of Willmar. The first step in the study was to complete a feasibility analysis. The feasibility analysis anticipated only positive results from the combustion of corn cobs with coal in the WMU power plant boiler, and therefore recommended that the project proceed. The study proceeded with a review of the existing WMU Power Plant configuration; cob fuel analyses; an application for an Air Quality Permit from the Minnesota Pollution Control Agency to conduct the co-combustion test burns; identification of and a site visit to a similar facility in Iowa; an evaluation of cob grinding machines; and agreements with a corn grower, a cob harvester, and the City of Willmar to procure, harvest, and store cobs. The WMU power plant staff constructed a temporary cob feed system whereby the cobs could be injected into the #3 Boiler firebox, at rates up to 40% of the boiler total heat input. Test burns were conducted, during which air emissions were monitored and fuel and ash samples analyzed. The results of the test burns indicated that the monitored flue gas quality improved slightly during the test burns. The WMU was able to determine that modifications to the #3 Boiler fuel feed system to accept com cobs on a permanent basis would be technically feasible and would enable the WMU to generate electricity from renewable fuels on a dispatchable basis.

  6. Environmental assessment of remedial action at the Slick Rock uranium mill tailings sites, Slick Rock, Colorado

    SciTech Connect (OSTI)

    1995-01-01

    The Uranium Mill Tailings Radiation Control Act of 1978, hereafter referred to as the UMTRCA, authorized the US Department of Energy (DOE) to clean up two uranium mill tailings processing sites near Slick Rock, Colorado, in San Miguel County. The purpose of the cleanup is to reduce the potential health effects associated with the radioactive materials remaining on the processing sites and on vicinity properties (VPs) associated with the sites. The US Environmental Protection Agency (EPA) promulgated standards for the UMTRCA that contained measures to control the contaminated materials and to protect the ground water from further degradation. The sites contain concrete foundations of mill buildings, tailings piles, and areas contaminated by windblown and waterborne radioactive tailings materials. The proposed action is to remediate the UC and NC sites by removing all contaminated materials within the designated site boundaries or otherwise associated with the sites, and relocating them to, and stabilizing them at, a location approximately 5 road mi (8 km) northeast of the processing sites on land administered by the US Bureau of Land Management (BLM). Remediation would be performed by the DOE`s Uranium Mill Tailings Remedial Action (UMTRA) Project.

  7. Environmental control technology for mining and milling low-grade uranium resources

    SciTech Connect (OSTI)

    Weakley, S.A.; Blahnik, D.E.; Long, L.W.; Bloomster, C.H.

    1981-04-01

    This study examined the type and level of wastes that would be generated in the mining and milling of U/sub 3/O/sub 8/ from four potential domestic sources of uranium. The estimated costs of the technology to control these wastes to different degrees of stringency are presented.

  8. MIL-L-87177 and CLT:X-10 Lubricants Improve Electrical Connector Fretting Corrosion Behavior

    SciTech Connect (OSTI)

    AUKLAND,NEIL R.; HANLON,JAMES T.

    1999-10-12

    We have conducted a fretting research project using MIL-L-87177 and CLT: X-10 lubricants on Nano-miniature connectors. When they were fretted without lubricant, individual connectors first exceeded our 0.5 ohm failure criteria from 2,341 to 45,238 fretting cycles. With additional fretting, their contact resistance increased to more than 100,000 ohms. Unmodified MIL-L-87177 lubricant delayed the onset of first failure to between 430,000 and over 20,000,000 fretting cycles. MIL-L-87177 modified by addition of Teflon powder delayed first failure to beyond 5 million fretting cycles. Best results were obtained when Teflon was used and also when both the straight and modified lubricants were poured into and then out of the connector. CLT: X-10 lubricant delayed the onset of first failure to beyond 55 million cycles in one test where a failure was actually observed and to beyond 20 million cycles in another that was terminated without failure. CLT: X-10 recovered an unlubricated connector driven deeply into failure, with six failed pins recovering immediately and four more recovering during an additional 420 thousand fretting cycles. MIL-L-87177 was not able to recover a connector under similar conditions.

  9. CLEANING UP MILL TAILINGS AND GROUND WATER AT THE MOAB UMTRA PROJECT SITE

    Broader source: Energy.gov [DOE]

    Moab, UT - Sixteen million tons of uranium mill tailings 80 feet high stood on the banks of the Colorado River near Moab in southeast Utah, as a legacy to the former ore-processing site that operated for nearly three decades beginning in the mid-1950s.

  10. Biochemical Production of Ethanol from Corn Stover: 2007 State of Technology Model

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

    Biochemical Production of Ethanol from Corn Stover: 2007 State of Technology Model Andy Aden Technical Report NREL/TP-510-43205 May 2008 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 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.

  11. Biochemical Production of Ethanol from Corn Stover: 2008 State of Technology Model

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

    10-46214 August 2009 Biochemical Production of Ethanol from Corn Stover: 2008 State of Technology Model D. Humbird and A. Aden 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-510-46214 August 2009 Biochemical

  12. Small Wind Electric Systems: A Guide for the American Corn Growers Association

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

    Guide Produced for the American Corn Growers Foundation Small Wind Electric Systems Small Wind Electric Systems U.S. Department of Energy Energy Efficiency and Renewable Energy Wind and Hydropower Technologies Program Small Wind Electric Systems Cover photo: This AOC 15/50 wind turbine on a farm in Clarion, Iowa, saves the Clarion-Goldfield Community School about $9,000 per year on electrical purchase and provides a part of the school's science curriculum. Photo credit - Robert Olson/PIX11649 A

  13. Energy Efficiency Feasibility Study and Resulting Plan for the Bay Mills Indian Community

    SciTech Connect (OSTI)

    Kushman, Chris

    2014-02-03

    In 2011 the Inter-Tribal Council of Michigan, Inc. was awarded an Energy Efficiency Development and Deployment in Indian Country grant from the U.S. Department of Energy’s Tribal Energy Program. This grant aimed to study select Bay Mills Indian Community community/government buildings to determine what is required to reduce each building’s energy consumption by 30%. The Bay Mills Indian Community (BMIC) buildings with the largest expected energy use were selected for this study and included the Bay Mills Ellen Marshall Health Center building, Bay Mills Indian Community Administration Building, Bay Mills Community College main campus, Bay Mills Charter School and the Waishkey Community Center buildings. These five sites are the largest energy consuming Community buildings and comprised the study area of this project titled “Energy Efficiency Feasibility Study and Resulting Plan for the Bay Mills Indian Community”. The end objective of this study, plan and the Tribe is to reduce the energy consumption at the Community’s most energy intensive buildings that will, in turn, reduce emissions at the source of energy production, reduce energy expenditures, create long lasting energy conscious practices and positively affect the quality of the natural environment. This project’s feasibility study and resulting plan is intended to act as a guide to the Community’s first step towards planned energy management within its buildings/facilities. It aims to reduce energy consumption by 30% or greater within the subject facilities with an emphasis on energy conservation and efficiency. The energy audits and related power consumption analyses conducted for this study revealed numerous significant energy conservation and efficiency opportunities for all of the subject sites/buildings. In addition, many of the energy conservation measures require no cost and serve to help balance other measures requiring capital investment. Reoccurring deficiencies relating to heating, cooling, thermostat setting inefficiencies, powering computers, lighting, items linked to weatherization and numerous other items were encountered that can be mitigated with the energy conservation measures developed and specified during the course of this project.

  14. Performance evaluation of half-wetted hydrodynamic bearings with DLC coated surfaces.

    SciTech Connect (OSTI)

    Eryilmaz, O.; Erdemir, A.; Energy Systems

    2008-01-01

    In conventional liquid lubrication it is assumed that surfaces are fully wetted and no slip occurs between the fluid and the solid boundary. Under the 'no slip' condition the maximum shear gradient occurs at the fluid-surface interface. When one or both surfaces are non-wetted by the fluid, boundary slip can occur due to weak bonding between the fluid and the solid surface, which reduces shear stresses in the fluid adjacent to the non-wetted surface. A thrust bearing tribometer was used to compare the performance of 'no slip' hydrodynamic thrust bearings with bearings surfaces that were made to slip at the interface between the surface and fluid. Hydrophobic surfaces on both runner and bearing were achieved with the deposition of hydrogenated diamond like carbon (H-DLC) films, produced by plasma-enhanced CVD on titanium alloy surfaces. Hydrophilic surfaces were created through the surface modification of DLC. A mixtures of water and glycerol was used as the lubricant. The tests were conducted using different constant bearing gaps. The normal load and the torque or traction force between the rotating runner and hydrodynamic thrust bearing were measured with load cells. The experimental results confirmed that load support is still possible when surfaces are partially-wetted or nonwetted.

  15. Enhanced NO{sub x} removal in wet scrubbers using metal chelates. Final report, Volume 1

    SciTech Connect (OSTI)

    Smith, K.; Lani, B.; Berisko, D.; Schultz, C.; Carlson, W.; Benson, L.B.

    1992-12-01

    Successful pilot plant tests of simultaneous removal of S0{sub 2} and NO{sub x} in a wet lime flue gas desulfurization system were concluded in December. The tests, at up to 1.5 MW(e) capacity, were conducted by the Cincinnati Gas and Electric Company and Dravo Lime Company for the US Department of Energy at a pilot facility at the Miami Fort station of CG&E near Cincinnati, Ohio. The pilot plant scrubbed a slipstream of flue gas from Unit 7, a 530 MW coal-fired electric generating unit. Tests were conducted in three phases between April and December. The technology tested was wet scrubbing with Thiosorbic{reg_sign} magnesium-enhanced lime for S0{sub 2} removal and simultaneous NO scrubbing with ferrous EDTA, a metal chelate. Magnesium-enhanced lime-based wet scrubbing is used at 20 full-scale high-sulfur coal-fired electric generating units with a combined capacity of 8500 NW. Ferrous EDTA reacts with nitric oxide, NO, which comprises about 95% of NO{sub x} from coal-fired boilers. In this report, although not precise, NO and NO{sub x} are used interchangably. A major objective of the tests was to combine NO{sub x} removal using ferrous EDTA, a developing technology, with SO{sub 2} removal using wet lime FGD, already in wide commercial use. If successful, this could allow wide application of this NO{sub x} removal technology.

  16. WET-NZ Multi-Mode Wave Energy Converter Advancement Project

    SciTech Connect (OSTI)

    Klure, Justin

    2011-11-01

    Presentation from the 2011 Water Peer Review in which the principal investigator discussed the next steps to verify a multi-mode functionality of the WET-NZ device. This included overview of the approaches taken to perform wave tank testing, open ocean deployment, synthesis and analysis.

  17. Level: National Data; Row: NAICS Codes; Column: Energy Sources

    Gasoline and Diesel Fuel Update (EIA)

    2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006 Level: National Data; Row: NAICS Codes; Column: Energy Sources Unit: Establishment Counts. Any Combustible NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 183 0 105 38 Q 0 W 8 3112 Grain and Oilseed Milling 36 0 Q 13 W 0 0 6 311221 Wet Corn Milling W 0 0 0 0 0 0 W 31131 Sugar

  18. Level: National Data; Row: NAICS Codes; Column: Energy Sources

    Gasoline and Diesel Fuel Update (EIA)

    3.4 Number of Establishments by Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,113 326 1,462 11,395 2,920 67 13 1,240 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 148 311221 Wet Corn Milling 47 47 W 17

  19. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any Combustible NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 592 W Q Q Q 0 0 345 3112 Grain and Oilseed Milling 85 0 W 15 Q 0 0 57 311221 Wet Corn Milling 8 0 0 0 0 0 0 8 31131 Sugar

  20. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. NAICS Total Not Electricity Natural Distillate Residual Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Fuel Oil LPG Other(f) Total United States 311 Food 67 21 49 W 19 10 W W W 3112 Grain and Oilseed Milling 35 7 29 W 7 3 0 W W 311221 Wet Corn Milling 18 4 17 0 4 W 0 W

  1. Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components;

    Gasoline and Diesel Fuel Update (EIA)

    1.1 Electricity: Components of Net Demand, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 73,242 309 4,563 111 78,003 3112 Grain and Oilseed Milling 15,283 253 2,845 72 18,310 311221 Wet Corn Milling 6,753 48 2,396 55 9,142 31131 Sugar Manufacturing

  2. Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be conducted in 2010 Table 6.1 Consumption Ratios of Fuel, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 879.8 5.0 2.2 3112 Grain and Oilseed Milling 6,416.6 17.5 5.7 311221 Wet Corn Milling 21,552.1 43.6

  3. Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be fielded in 2015 Table 6.1 Consumption Ratios of Fuel, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 871.7 4.3 1.8 3112 Grain and Oilseed Milling 6,239.5 10.5 3.6 311221 Wet Corn Milling 28,965.0 27.1

  4. Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components;

    Gasoline and Diesel Fuel Update (EIA)

    3 Electricity: Components of Onsite Generation, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood NAICS Total Onsite and Code(a) Subsector and Industry Generation Cogeneration(b) Other Biomass)(c) Other(d) Total United States 311 Food 4,563 4,249 * 313 3112 Grain and Oilseed Milling 2,845 2,819 0 27 311221 Wet Corn Milling 2,396 2,370 0 27 31131 Sugar Manufacturing 951 951 0 * 3114 Fruit

  5. Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be conducted in 2010 Table 11.5 Electricity: Sales to Utility and Nonutility Purchasers, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of NAICS Sales and Utility Nonutility Code(a) Subsector and Industry Transfers Offsite Purchaser(b) Purchaser(c) Total United States 311 Food 111 86 25 3112 Grain and Oilseed Milling 72 51 21 311221 Wet Corn Milling 55 42 13 31131 Sugar Manufacturing 7 3 4

  6. Table 11.1 Electricity: Components of Net Demand, 2010;

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

    1 Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 75,652 21 5,666 347 80,993 3112 Grain and Oilseed Milling 16,620 0 3,494 142 19,972 311221 Wet Corn Milling 7,481 0 3,213 14 10,680 31131 Sugar Manufacturing

  7. Table 11.3 Electricity: Components of Onsite Generation, 2010;

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

    3 Electricity: Components of Onsite Generation, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood NAICS Total Onsite and Code(a) Subsector and Industry Generation Cogeneration(b) Other Biomass)(c) Other(d) Total United States 311 Food 5,666 5,414 81 171 3112 Grain and Oilseed Milling 3,494 3,491 Q 2 311221 Wet Corn Milling 3,213 3,211 0 2 31131 Sugar Manufacturing 1,382 1,319 64 0 3114

  8. Table 2.2 Nonfuel (Feedstock) Use of Combustible Energy, 2010;

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

    2 Nonfuel (Feedstock) Use of Combustible Energy, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. NAICS Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal and Breeze Other(e) Total United States 311 Food 10 * 1 4 Q 0 0 2 3112 Grain and Oilseed Milling 6 0 * 1 Q 0 0 2 311221 Wet Corn Milling 2 0 0 0 0 0 0 2 31131 Sugar Manufacturing * 0 * 0 * 0 0 * 3114 Fruit and Vegetable

  9. Table 3.2 Fuel Consumption, 2010;

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

    2 Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. NAICS Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 1,158 257 12 22 579 6 182 2 99 3112 Grain and Oilseed Milling 350 56 * 1 121 * 126 0 45 311221 Wet Corn Milling 214 25 * * 53 * 110 0 25 31131 Sugar Manufacturing 107 4 1 1 15 * 49 2 36

  10. Table 3.5 Selected Byproducts in Fuel Consumption, 2010;

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

    5 Selected Byproducts in Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. Blast Pulping Liquor NAICS Furnace/Coke Petroleum or Wood Chips, Code(a) Subsector and Industry Total Oven Gases Waste Gas Coke Black Liquor Bark Total United States 311 Food 11 0 7 0 0 1 3112 Grain and Oilseed Milling 5 0 2 0 0 * 311221 Wet Corn Milling * 0 * 0 0 0 31131 Sugar Manufacturing * 0 * 0 0 * 3114 Fruit and Vegetable Preserving and Specialty

  11. Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2010;

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

    Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2010; Level: National and Regional Data; Row: Selected NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. Wood Residues and Wood-Related Pulping Liquor Wood Byproducts and NAICS or Biomass Agricultural Harvested Directly from Mill Paper-Related Code(a) Subsector and Industry Black Liquor Total(b) Waste(c) from Trees(d) Processing(e) Refuse(f) Total United States 311 Food 0 44 43 * * 1 311221 Wet Corn Milling 0 1 1 0 0 0

  12. Table 4.2 Offsite-Produced Fuel Consumption, 2010

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

    4.2 Offsite-Produced Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. NAICS Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 1,113 258 12 22 579 5 182 2 54 3112 Grain and Oilseed Milling 346 57 * 1 121 * 126 0 41 311221 Wet Corn Milling 214 26 * * 53 * 110 0 25 31131 Sugar Manufacturing 72 4 1

  13. Table 7.1 Average Prices of Purchased Energy Sources, 2010

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

    Average Prices of Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Physical Units. Coal NAICS TOTAL Acetylene Breeze Total Anthracite Code(a) Subsector and Industry (million Btu) (cu ft) (short tons) (short tons) (short tons) Total United States 311 Food 9.12 0.26 0.00 53.43 90.85 3112 Grain and Oilseed Milling 6.30 0.29 0.00 51.34 50.47 311221 Wet Corn Milling 4.87 0.48 0.00 47.74 50.47 31131 Sugar

  14. Table 7.9 Expenditures for Purchased Energy Sources, 2010;

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

    9 Expenditures for Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Million U.S. Dollars. NAICS Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Electricity Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal and Breeze Other(e) Total United States 311 Food 10,111 5,328 130 431 3,391 150 442 29 210 3112 Grain and Oilseed Milling 2,130 932 2 12 673 Q 294 0 158 311221 Wet Corn Milling 1,002 352 1 5 296 1 239 0 107

  15. Originally Released: July 2009

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

    2 Nonfuel (Feedstock) Use of Combustible Energy, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources Unit: Trillion Btu. NAICS Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal and Breeze Other(e) Total United States 311 Food 3 0 * 2 * 0 * * 3112 Grain and Oilseed Milling 3 0 * 2 * 0 0 * 311221 Wet Corn Milling * 0 0 0 0 0 0 * 31131 Sugar Manufacturing * 0 * 0 * 0 * 0 3114 Fruit and Vegetable

  16. Originally Released: July 2009

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

    2 Fuel Consumption, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources Unit: Trillion Btu. NAICS Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 1,186 251 26 16 635 3 147 1 107 3112 Grain and Oilseed Milling 317 53 2 1 118 * 114 0 30 311221 Wet Corn Milling 179 23 * * 52 * 95 0 9 31131 Sugar Manufacturing 82 3 9 1 18 * 31 1 20

  17. Originally Released: July 2009

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

    2 Offsite-Produced Fuel Consumption, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources Unit: Trillion Btu. NAICS Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Total United States 311 Food 1,124 251 26 16 635 3 147 1 3112 Grain and Oilseed Milling 316 53 2 1 118 * 114 0 311221 Wet Corn Milling 179 23 * * 52 * 95 0 31131 Sugar Manufacturing 67 3 9 1 18 * 31 1 3114 Fruit

  18. Analysis of the Efficiency of the U.S. Ethanol Industry 2007 | Department

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

    of Energy Analysis of the Efficiency of the U.S. Ethanol Industry 2007 Analysis of the Efficiency of the U.S. Ethanol Industry 2007 The survey covers plant operations in corn dry mills, wet mills,plant type, ownership structure, capacity, feedstocks, production volumes, coproducts, PDF icon anl_ethanol_analysis_2007.pdf More Documents & Publications Current State of the U.S. Ethanol Industry Contribution of the Ethanol Industry to the Economy of the United States EA-1628: Final

  19. Feasibility study of a corn-to-ethanol plant in Sardis, Mississippi

    SciTech Connect (OSTI)

    Not Available

    1982-06-01

    A feasibility study for a corn-to-ethanol plant in Panola County, Mississippi was carried out. This area is well suited for the production of ethanol from corn, as it has a mild climate, a plentiful supply of wood fuel, and a well-developed agricultural infrastructure. The project was designed for 5 million gallons per year, using the ACR Process, a process proven in 6 plants now operating. It was determined to be technically feasible for this size. However, without a state financial incentive such as a gasoline excise tax or sales tax exemption, the plant is not economically feasible in Mississippi. Even though a 4 cents per gallon federal excise tax exemption will likely remain, the economics without any other incentive are not strong enough to obtain financing or equity funds. While the Mississippi legislature decided not to consider a financial incentive in their 1982 session, an attempt will be made to introduce a proposal for a suitable exemption during the 1983 legislative session. Until then, the project is on hold.

  20. Owens Corning

    Energy Savers [EERE]

    Cohen: On Thursday, August 29, 2013, Julian Francis, VP & Managing Director Residential Insulation, Frank O'Brien Bernini, VP & Chief Sustainability Officer, Paul Smith, VP ...