Sample records for feedstocks cxs applied

  1. Biomass Feedstocks

    Broader source: Energy.gov [DOE]

    A feedstock is defined as any renewable, biological material that can be used directly as a fuel, or converted to another form of fuel or energy product. Biomass feedstocks are the plant and algal materials used to derive fuels like ethanol, butanol, biodiesel, and other hydrocarbon fuels. Examples of biomass feedstocks include corn starch, sugarcane juice, crop residues such as corn stover and sugarcane bagasse, purpose-grown grass crops, and woody plants. The Bioenergy Technologies Office works in partnership with the U.S. Department of Agriculture (USDA), national laboratories, universities, industry, and other key stakeholders to identify and develop economically, environmentally, and socially sustainable feedstocks for the production of energy, including transportation fuels, electrical power and heat, and other bioproducts. Efforts in this area will ultimately support the development of technologies that can provide a large and sustainable cellulosic biomass feedstock supply of acceptable quality and at a reasonable cost for use by the developing U.S. advanced biofuel industry.

  2. Streamlining Bioenergy Feedstock Engineering

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

    Streamlining Bioenergy Feedstock Engineering The DOE Biomass Program's feedstock research and development tools enable collaboration and sharing of feedstock development knowledge...

  3. Lignocellulosic feedstock resource assessment

    SciTech Connect (OSTI)

    Rooney, T.

    1998-09-01T23:59:59.000Z

    This report provides overall state and national information on the quantity, availability, and costs of current and potential feedstocks for ethanol production in the United States. It characterizes end uses and physical characteristics of feedstocks, and presents relevant information that affects the economic and technical feasibility of ethanol production from these feedstocks. The data can help researchers focus ethanol conversion research efforts on feedstocks that are compatible with the resource base.

  4. Articulating feedstock delivery device

    DOE Patents [OSTI]

    Jordan, Kevin

    2013-11-05T23:59:59.000Z

    A fully articulable feedstock delivery device that is designed to operate at pressure and temperature extremes. The device incorporates an articulating ball assembly which allows for more accurate delivery of the feedstock to a target location. The device is suitable for a variety of applications including, but not limited to, delivery of feedstock to a high-pressure reaction chamber or process zone.

  5. Evolution and Development of Effective Feedstock Specifications

    SciTech Connect (OSTI)

    Garold Gresham; Rachel Emerson; Amber Hoover; Amber Miller; William Bauer; Kevin Kenney

    2013-09-01T23:59:59.000Z

    The U.S. Department of Energy promotes the production of a range of liquid fuels and fuel blend stocks from lignocellulosic biomass feedstocks by funding fundamental and applied research that advances the state of technology in biomass collection, conversion, and sustainability. As part of its involvement in this program, the Idaho National Laboratory (INL) investigates the feedstock logistics economics and sustainability of these fuels. The 2012 feedstock logistics milestone demonstrated that for high-yield areas that minimize the transportation distances of a low-density, unstable biomass, we could achieve a delivered cost of $35/ton. Based on current conventional equipment and processes, the 2012 logistics design is able to deliver the volume of biomass needed to fulfill the 2012 Renewable Fuel Standard’s targets for ethanol. However, the Renewable Fuel Standard’s volume targets are continuing to increase and are expected to peak in 2022 at 36 billion gallons. Meeting these volume targets and achieving a national-scale biofuels industry will require expansion of production capacity beyond the 2012 Conventional Feedstock Supply Design Case to access diverse available feedstocks, regardless of their inherent ability to meet preliminary biorefinery quality feedstock specifications. Implementation of quality specifications (specs), as outlined in the 2017 Design Case – “Feedstock Supply System Design and Economics for Conversion of Lignocellulosic Biomass to Hydrocarbon Fuels” (in progress), requires insertion of deliberate, active quality controls into the feedstock supply chain, whereas the 2012 Conventional Design only utilizes passive quality controls.

  6. Understanding Biomass Feedstock Variability

    SciTech Connect (OSTI)

    Kevin L. Kenney; William A. Smith; Garold L. Gresham; Tyler L. Westover

    2013-01-01T23:59:59.000Z

    If the singular goal of biomass logistics and the design of biomass feedstock supply systems is to reduce the per ton supply cost of biomass, these systems may very well develop with ultimate unintended consequences of highly variable and reduced quality biomass feedstocks. This paper demonstrates that due to inherent species variabilities, production conditions, and differing harvest, collection, and storage practices, this is a very real scenario that biomass producers and suppliers as well as conversion developers should be aware of. Biomass feedstock attributes of ash, carbohydrates, moisture, and particle morphology will be discussed. We will also discuss specifications for these attributes, inherent variability of these attributes in biomass feedstocks, and approaches and solutions for reducing variability for improving feedstock quality.

  7. Understanding Biomass Feedstock Variability

    SciTech Connect (OSTI)

    Kevin L. Kenney; Garold L. Gresham; William A. Smith; Tyler L. Westover

    2013-01-01T23:59:59.000Z

    If the singular goal of biomass logistics and the design of biomass feedstock supply systems is to reduce the per-ton supply cost of biomass, these systems may very well develop with ultimate unintended consequences of highly variable and reduced quality biomass feedstocks. This paper demonstrates that, due to inherent species variabilities, production conditions and differing harvest, collection and storage practices, this is a very real scenario that biomass producers and suppliers as well as conversion developers should be aware of. Biomass feedstock attributes of ash, carbohydrates, moisture and particle morphology will be discussed. We will also discuss specifications for these attributes, inherent variability of these attributes in biomass feedstocks, and approaches and solutions for reducing variability for improving feedstock quality.

  8. Developing better biomass feedstock | EMSL

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

    Developing better biomass feedstock Developing better biomass feedstock Released: September 04, 2014 Multi-omics unlocking the workings of plants Kim Hixson, an EMSL research...

  9. feedstock | netl.doe.gov

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

    Coal & Biomass AlternativesSupplements to Coal - Feedstock Flexibility As important as coal is as a primary gasification feedstock, gasification technology offers the important...

  10. of Biofuels Sustainable Feedstocks

    E-Print Network [OSTI]

    The Next Generation of Biofuels Sustainable Feedstocks Cost-Competitive Options #12;Photos courtesy the evolutionary code for an entirely new generation of biofuels capable of transforming the American automobile biofuels at a cost competitive with that of gasoline. Equally important, they are using crops

  11. Biomass Feedstock National User Facility

    Broader source: Energy.gov [DOE]

    Breakout Session 1B—Integration of Supply Chains I: Breaking Down Barriers Biomass Feedstock National User Facility Kevin L. Kenney, Director, Biomass Feedstock National User Facility, Idaho National Laboratory

  12. Biomass Feedstock Supply Modeling

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergyandapproximately 10 wt%inandWBS THIS6, 2015 Feedstock

  13. Applying SE Methods Achieves Project Success to Evaluate Hammer and Fixed Cutter Grinders Using Multiple Varieties and Moistures of Biomass Feedstock for Ethanol Production

    SciTech Connect (OSTI)

    Larry R. Zirker; Christopher T. Wright, PhD; R. Douglas Hamelin

    2008-06-01T23:59:59.000Z

    Applying basic systems engineering (SE) tools to the mission analysis phases of a 2.5-million dollar biomass pre-processing project for the U.S. Department of Energy directly assisted the project principal investigator understand the complexity and identify the gaps of a moving-target project and capture the undefined technical/functional requirements and deliverables from the project team and industrial partners. A creative application of various SE tools by non-aerospace systems engineers developed an innovative “big picture” product that combined aspects of mission analysis with a project functional flow block diagram, providing immediate understanding of the depth and breath of the biomass preprocessing effort for all team members, customers, and industrial partners. The “big picture” diagram became the blue print to write the project test plan, and provided direction to bring the project back on track and achieve project success.

  14. Converting Biomass to High-Value Feedstocks

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

    Converting Biomass to High-Value Feedstocks Advanced feedstocks play an important role in economically and efficiently converting biomass into bioenergy products. Advanced...

  15. The Future of Bioenergy Feedstock Production

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

    The Future of Bioenergy Feedstock Production Cornell University June, 2013 John Ferrell Feedstock Technology Lead Bioenergy Technologies Office US Department of Energy 2...

  16. RAFT Regional Algal Feedstock Testbed

    Broader source: Energy.gov [DOE]

    Breakout Session 3B—Integration of Supply Chains III: Algal Biofuels Strategy RAFT Regional Algal Feedstock Testbed Kimberly Ogden, Professor, University of Arizona, Engineering Technical Lead, National Alliance for Advanced Biofuels and Bioproducts

  17. Regional Feedstock Partnership 2010 Switchgrass Report

    E-Print Network [OSTI]

    Pawlowski, Wojtek

    ;Overall Objective ! Establish and perform replicated field trials of diverse herbaceous biomass feedstocks

  18. Biomass Feedstock and Conversion Supply System Design and Analysis

    SciTech Connect (OSTI)

    Jacob J. Jacobson; Mohammad S. Roni; Patrick Lamers; Kara G. Cafferty

    2014-09-01T23:59:59.000Z

    Idaho National Laboratory (INL) supports the U.S. Department of Energy’s bioenergy research program. As part of the research program INL investigates the feedstock logistics economics and sustainability of these fuels. A series of reports were published between 2000 and 2013 to demonstrate the feedstock logistics cost. Those reports were tailored to specific feedstock and conversion process. Although those reports are different in terms of conversion, some of the process in the feedstock logistic are same for each conversion process. As a result, each report has similar information. A single report can be designed that could bring all commonality occurred in the feedstock logistics process while discussing the feedstock logistics cost for different conversion process. Therefore, this report is designed in such a way that it can capture different feedstock logistics cost while eliminating the need of writing a conversion specific design report. Previous work established the current costs based on conventional equipment and processes. The 2012 programmatic target was to demonstrate a delivered biomass logistics cost of $55/dry ton for woody biomass delivered to fast pyrolysis conversion facility. The goal was achieved by applying field and process demonstration unit-scale data from harvest, collection, storage, preprocessing, handling, and transportation operations into INL’s biomass logistics model. The goal of the 2017 Design Case is to enable expansion of biofuels production beyond highly productive resource areas by breaking the reliance of cost-competitive biofuel production on a single, low-cost feedstock. The 2017 programmatic target is to supply feedstock to the conversion facility that meets the in-feed conversion process quality specifications at a total logistics cost of $80/dry T. The $80/dry T. target encompasses total delivered feedstock cost, including both grower payment and logistics costs, while meeting all conversion in-feed quality targets. The 2012 $55/dry T. programmatic target included only logistics costs with a limited focus on biomass quantity, quality and did not include a grower payment. The 2017 Design Case explores two approaches to addressing the logistics challenge: one is an agronomic solution based on blending and integrated landscape management and the second is a logistics solution based on distributed biomass preprocessing depots. The concept behind blended feedstocks and integrated landscape management is to gain access to more regional feedstock at lower access fees (i.e., grower payment) and to reduce preprocessing costs by blending high quality feedstocks with marginal quality feedstocks. Blending has been used in the grain industry for a long time; however, the concept of blended feedstocks in the biofuel industry is a relatively new concept. The blended feedstock strategy relies on the availability of multiple feedstock sources that are blended using a least-cost formulation within an economical supply radius, which, in turn, decreases the grower payment by reducing the amount of any single biomass. This report will introduce the concepts of blending and integrated landscape management and justify their importance in meeting the 2017 programmatic goals.

  19. C3 Feedstock Optimization for Multiproduct Polypropylene

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    feedstocks with different prices and propylene purities. Best operation will balance production rate facility Chemical and refinery grade feedstocks with different prices and propylene purities. Best Polypropylene Propane return Reactor effluent Distillation Polymerization FeedTank Propylene (91%) ~79

  20. Biofuel Feedstock Inter-Island Transportation

    E-Print Network [OSTI]

    Biofuel Feedstock Inter-Island Transportation Prepared for the U.S. Department of Energy Office ........................................................................... 11 Options for liquid biofuel feedstock transport ............................................................................. agency thereof. #12;A Comparison of Hawaii's Inter-Island Maritime Transportation of Solid Versus Liquid

  1. Process for desulfurizing petroleum feedstocks

    SciTech Connect (OSTI)

    Gordon, John Howard; Alvare, Javier

    2014-06-10T23:59:59.000Z

    A process for upgrading an oil feedstock includes reacting the oil feedstock with a quantity of an alkali metal, wherein the reaction produces solid materials and liquid materials. The solid materials are separated from the liquid materials. The solid materials may be washed and heat treated by heating the materials to a temperature above 400.degree. C. The heat treating occurs in an atmosphere that has low oxygen and water content. Once heat treated, the solid materials are added to a solution comprising a polar solvent, where sulfide, hydrogen sulfide or polysulfide anions dissolve. The solution comprising polar solvent is then added to an electrolytic cell, which during operation, produces alkali metal and sulfur.

  2. Engineered plant biomass feedstock particles

    DOE Patents [OSTI]

    Dooley, James H. (Federal Way, WA); Lanning, David N. (Federal Way, WA); Broderick, Thomas F. (Lake Forest Park, WA)

    2011-10-18T23:59:59.000Z

    A novel class of flowable biomass feedstock particles with unusually large surface areas that can be manufactured in remarkably uniform sizes using low-energy comminution techniques. The feedstock particles are roughly parallelepiped in shape and characterized by a length dimension (L) aligned substantially with the grain direction and defining a substantially uniform distance along the grain, a width dimension (W) normal to L and aligned cross grain, and a height dimension (H) normal to W and L. The particles exhibit a disrupted grain structure with prominent end and surface checks that greatly enhances their skeletal surface area as compared to their envelope surface area. The L.times.H dimensions define a pair of substantially parallel side surfaces characterized by substantially intact longitudinally arrayed fibers. The W.times.H dimensions define a pair of substantially parallel end surfaces characterized by crosscut fibers and end checking between fibers. The L.times.W dimensions define a pair of substantially parallel top surfaces characterized by some surface checking between longitudinally arrayed fibers. At least 80% of the particles pass through a 1/4 inch screen having a 6.3 mm nominal sieve opening but are retained by a No. 10 screen having a 2 mm nominal sieve opening. The feedstock particles are manufactured from a variety of plant biomass materials including wood, crop residues, plantation grasses, hemp, bagasse, and bamboo.

  3. Engineered plant biomass feedstock particles

    DOE Patents [OSTI]

    Dooley, James H. (Federal Way, WA); Lanning, David N. (Federal Way, WA); Broderick, Thomas F. (Lake Forest Park, WA)

    2011-10-11T23:59:59.000Z

    A novel class of flowable biomass feedstock particles with unusually large surface areas that can be manufactured in remarkably uniform sizes using low-energy comminution techniques. The feedstock particles are roughly parallelepiped in shape and characterized by a length dimension (L) aligned substantially with the grain direction and defining a substantially uniform distance along the grain, a width dimension (W) normal to L and aligned cross grain, and a height dimension (H) normal to W and L. The particles exhibit a disrupted grain structure with prominent end and surface checks that greatly enhances their skeletal surface area as compared to their envelope surface area. The L.times.H dimensions define a pair of substantially parallel side surfaces characterized by substantially intact longitudinally arrayed fibers. The W.times.H dimensions define a pair of substantially parallel end surfaces characterized by crosscut fibers and end checking between fibers. The L.times.W dimensions define a pair of substantially parallel top surfaces characterized by some surface checking between longitudinally arrayed fibers. The feedstock particles are manufactured from a variety of plant biomass materials including wood, crop residues, plantation grasses, hemp, bagasse, and bamboo.

  4. Synthetic carbonaceous fuels and feedstocks

    DOE Patents [OSTI]

    Steinberg, Meyer (Huntington Station, NY)

    1980-01-01T23:59:59.000Z

    This invention relates to the use of a three compartment electrolytic cell in the production of synthetic carbonaceous fuels and chemical feedstocks such as gasoline, methane and methanol by electrolyzing an aqueous sodium carbonate/bicarbonate solution, obtained from scrubbing atmospheric carbon dioxide with an aqueous sodium hydroxide solution, whereby the hydrogen generated at the cathode and the carbon dioxide liberated in the center compartment are combined thermocatalytically into methanol and gasoline blends. The oxygen generated at the anode is preferably vented into the atmosphere, and the regenerated sodium hydroxide produced at the cathode is reused for scrubbing the CO.sub.2 from the atmosphere.

  5. Feedstock Logistics | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6AwardsScorecardLogistics Feedstock

  6. Low-Cost Titanium Powder for Feedstock

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

    Titanium Powder for Feedstock Principal Investigator: Curt Lavender Presenter: Mark T. Smith Pacific Northwest National Laboratory OVT 2008 DOE Peer Review February 28, 2008 This...

  7. CX-004251: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    CX-004251: Categorical Exclusion Determination High Yield Hybrid Cellulosic Ethanol Process Using High-Impact Feedstock for Commercialization by 2013 CX(s) Applied: A9,...

  8. CX-002259: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Genetic Engineering of Cyanobacteria as Biodiesel Feedstock CX(s) Applied: B3.12 Date: 03092010 Location(s): New Mexico Office(s):...

  9. Impact of Mixed Feedstocks and Feedstock Densification on Ionic Liquid Pretreatment Efficiency

    SciTech Connect (OSTI)

    Jian Shi; Vicki S. Thompson; Neal A. Yancey; Vitalie Stavila; Blake A. Simmons; Seema Singh

    2013-01-01T23:59:59.000Z

    Background: Lignocellulosic biorefineries must be able to efficiently process the regional feedstocks that are available at cost-competitive prices year round. These feedstocks typically have low energy densities and vary significantly in composition. One potential solution to these issues is blending and/or densifying the feedstocks in order to create a uniform feedstock. Results/discussion: We have mixed four feedstocks - switchgrass, lodgepole pine, corn stover, and eucalyptus - in flour and pellet form and processed them using the ionic liquid 1-ethyl-3-methylimidazolium acetate. Sugar yields from both the mixed flour and pelletized feedstocks reach 90% within 24 hours of saccharification. Conclusions: Mixed feedstocks, in either flour or pellet form, are efficiently processed using this pretreatment process, and demonstrate that this approach has significant potential.

  10. COMPUTATIONAL RESOURCES FOR BIOFUEL FEEDSTOCK SPECIES

    SciTech Connect (OSTI)

    Buell, Carol Robin [Michigan State University; Childs, Kevin L [Michigan State University

    2013-05-07T23:59:59.000Z

    While current production of ethanol as a biofuel relies on starch and sugar inputs, it is anticipated that sustainable production of ethanol for biofuel use will utilize lignocellulosic feedstocks. Candidate plant species to be used for lignocellulosic ethanol production include a large number of species within the Grass, Pine and Birch plant families. For these biofuel feedstock species, there are variable amounts of genome sequence resources available, ranging from complete genome sequences (e.g. sorghum, poplar) to transcriptome data sets (e.g. switchgrass, pine). These data sets are not only dispersed in location but also disparate in content. It will be essential to leverage and improve these genomic data sets for the improvement of biofuel feedstock production. The objectives of this project were to provide computational tools and resources for data-mining genome sequence/annotation and large-scale functional genomic datasets available for biofuel feedstock species. We have created a Bioenergy Feedstock Genomics Resource that provides a web-based portal or �clearing house� for genomic data for plant species relevant to biofuel feedstock production. Sequence data from a total of 54 plant species are included in the Bioenergy Feedstock Genomics Resource including model plant species that permit leveraging of knowledge across taxa to biofuel feedstock species.We have generated additional computational analyses of these data, including uniform annotation, to facilitate genomic approaches to improved biofuel feedstock production. These data have been centralized in the publicly available Bioenergy Feedstock Genomics Resource (http://bfgr.plantbiology.msu.edu/).

  11. Improved Method for Isolation of Microbial RNA from Biofuel Feedstock...

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

    Method for Isolation of Microbial RNA from Biofuel Feedstock for Metatranscriptomics. Improved Method for Isolation of Microbial RNA from Biofuel Feedstock for Metatranscriptomics....

  12. AMO Fuel and Feedstock Flexibility: Fuel-Flexible Combustion...

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

    AMO Fuel and Feedstock Flexibility: Fuel-Flexible Combustion System for Refinery and Chemical Plant Process Heaters AMO Fuel and Feedstock Flexibility: Fuel-Flexible Combustion...

  13. alternative feedstocks program: Topics by E-print Network

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

    the goal of annually producing biomass feedstock aimed for cost determined the biomass feedstocks available within a region and identified research gaps and other barriers 3...

  14. Engineered plant biomass feedstock particles

    DOE Patents [OSTI]

    Dooley, James H. (Federal Way, WA); Lanning, David N. (Federal Way, WA); Broderick, Thomas F. (Lake Forest Park, WA)

    2012-04-17T23:59:59.000Z

    A new class of plant biomass feedstock particles characterized by consistent piece size and shape uniformity, high skeletal surface area, and good flow properties. The particles of plant biomass material having fibers aligned in a grain are characterized by a length dimension (L) aligned substantially parallel to the grain and defining a substantially uniform distance along the grain, a width dimension (W) normal to L and aligned cross grain, and a height dimension (H) normal to W and L. In particular, the L.times.H dimensions define a pair of substantially parallel side surfaces characterized by substantially intact longitudinally arrayed fibers, the W.times.H dimensions define a pair of substantially parallel end surfaces characterized by crosscut fibers and end checking between fibers, and the L.times.W dimensions define a pair of substantially parallel top and bottom surfaces. The L.times.W surfaces of particles with L/H dimension ratios of 4:1 or less are further elaborated by surface checking between longitudinally arrayed fibers. The length dimension L is preferably aligned within 30.degree. parallel to the grain, and more preferably within 10.degree. parallel to the grain. The plant biomass material is preferably selected from among wood, agricultural crop residues, plantation grasses, hemp, bagasse, and bamboo.

  15. New Diesel Feedstocks and Future Fuels

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

    August 23, 2006 C H R Y S L E R G R O U P Outline 1. First and Second Generation Biodiesel 2. Feedstocks for FAME-Based Biodiesel 3. Second Generation Biodiesel - BTL 4....

  16. Fluidized bed pyrolysis of terrestrial biomass feedstocks

    SciTech Connect (OSTI)

    Besler, S.; Agblevor, F.A.; Davis, M.F. [National Renewable Energy Lab., Golden, CO (United States)] [and others

    1994-12-31T23:59:59.000Z

    Hybrid poplar, switchgrass, and corn stover were pyrolyzed in a bench scale fluidized-bed reactor to examine the influence of storage time on thermochemical converting of these materials. The influence of storage on the thermochemical conversion of the biomass feedstocks was assessed based on pyrolysis product yields and chemical and instrumental analyses of the pyrolysis products. Although char and gas yields from corn stover feedstock were influenced by storage time, hybrid poplar and switchgrass were not significantly affected. Liquid, char, and gas yields were feedstock dependent. Total liquid yields (organic+water) varied from 58%-73% depending on the feedstock. Char yields varied from 14%-19% while gas yields ranged from 11%-15%. The chemical composition of the pyrolysis oils from hybrid polar feedstock was slightly changed by storage, however, corn stover and switchgrass feedstock showed no significant changes. Additionally, stored corn stover and hybrid poplar pyrolysis oils showed a significant decrease in their higher heating values compared to the fresh material.

  17. Land application of thin stillage from a grain sorghum feedstock 

    E-Print Network [OSTI]

    Jenkins, Joseph Wendell

    1985-01-01T23:59:59.000Z

    Committee; Dr. John M. Sweeten Thin sti 1 1 age is the wastewater from alcohol production after the wet solids have been separated from the waste- water stream. Because of thin sti 1 1 age's high organic content, it may be utilized in a land application... system. Thin sti 1 1 age from a grain sorghum feedstock was applied to crops in the field and greenhouse using sprinkler and surface irrigation methods. Application rates varied from 150 to 593 m stil lage/ha-yr, adding 334 to 1040 kg N/ha- yr. Soil...

  18. Bioenergy Feedstock Development Program Status Report

    SciTech Connect (OSTI)

    Kszos, L.A.

    2001-02-09T23:59:59.000Z

    The U.S. Department of Energy's (DOE's) Bioenergy Feedstock Development Program (BFDP) at Oak Ridge National Laboratory (ORNL) is a mission-oriented program of research and analysis whose goal is to develop and demonstrate cropping systems for producing large quantities of low-cost, high-quality biomass feedstocks for use as liquid biofuels, biomass electric power, and/or bioproducts. The program specifically supports the missions and goals of DOE's Office of Fuels Development and DOE's Office of Power Technologies. ORNL has provided technical leadership and field management for the BFDP since DOE began energy crop research in 1978. The major components of the BFDP include energy crop selection and breeding; crop management research; environmental assessment and monitoring; crop production and supply logistics operational research; integrated resource analysis and assessment; and communications and outreach. Research into feedstock supply logistics has recently been added and will become an integral component of the program.

  19. Biofuel Feedstock Assessment For Selected Countries

    SciTech Connect (OSTI)

    Kline, Keith L [ORNL; Oladosu, Gbadebo A [ORNL; Wolfe, Amy K [ORNL; Perlack, Robert D [ORNL; Dale, Virginia H [ORNL

    2008-02-01T23:59:59.000Z

    Findings from biofuel feedstock production assessments and projections of future supply are presented and discussed. The report aims to improve capabilities to assess the degree to which imported biofuel could contribute to meeting future U.S. targets to reduce dependence on imported oil. The study scope was focused to meet time and resource requirements. A screening process identified Argentina, Brazil, Canada, China, Colombia, India, Mexico, and the Caribbean Basin Initiative (CBI) region for initial analysis, given their likely role in future feedstock supply relevant to U.S. markets. Supply curves for selected feedstocks in these countries are projected for 2012, 2017 and 2027. The supply functions, along with calculations to reflect estimated supplies available for export and/or biofuel production, were provided to DOE for use in a broader energy market allocation study. Potential cellulosic supplies from crop and forestry residues and perennials were also estimated for 2017 and 2027. The analysis identified capacity to potentially double or triple feedstock production by 2017 in some cases. A majority of supply growth is derived from increasing the area cultivated (especially sugarcane in Brazil). This is supplemented by improving yields and farming practices. Most future supplies of corn and wheat are projected to be allocated to food and feed. Larger shares of future supplies of sugarcane, soybean and palm oil production will be available for export or biofuel. National policies are catalyzing investments in biofuel industries to meet targets for fuel blending that generally fall in the 5-10% range. Social and environmental concerns associated with rapid expansion of feedstock production are considered. If the 2017 projected feedstock supply calculated as 'available' for export or biofuel were converted to fuel, it would represent the equivalent of about 38 billion gallons of gasoline. Sugarcane and bagasse dominate the available supply, representing 64% of the total. Among the nations studied, Brazil is the source of about two-thirds of available supplies, followed distantly by Argentina (12%), India and the CBI region.

  20. Biofuel Feedstock Assessment for Selected Countries

    SciTech Connect (OSTI)

    Kline, K.L.; Oladosu, G.A.; Wolfe, A.K.; Perlack, R.D.; Dale, V.H.

    2008-02-18T23:59:59.000Z

    Findings from biofuel feedstock production assessments and projections of future supply are presented and discussed. The report aims to improve capabilities to assess the degree to which imported biofuel could contribute to meeting future U.S. targets to reduce dependence on imported oil. The study scope was focused to meet time and resource requirements. A screening process identified Argentina, Brazil, Canada, China, Colombia, India, Mexico, and the Caribbean Basin Initiative (CBI) region for initial analysis, given their likely role in future feedstock supply relevant to U.S. markets. Supply curves for selected feedstocks in these countries are projected for 2012, 2017 and 2027. The supply functions, along with calculations to reflect estimated supplies available for export and/or biofuel production, were provided to DOE for use in a broader energy market allocation study. Potential cellulosic supplies from crop and forestry residues and perennials were also estimated for 2017 and 2027. The analysis identified capacity to potentially double or triple feedstock production by 2017 in some cases. A majority of supply growth is derived from increasing the area cultivated (especially sugarcane in Brazil). This is supplemented by improving yields and farming practices. Most future supplies of corn and wheat are projected to be allocated to food and feed. Larger shares of future supplies of sugarcane, soybean and palm oil production will be available for export or biofuel. National policies are catalyzing investments in biofuel industries to meet targets for fuel blending that generally fall in the 5-10% range. Social and environmental concerns associated with rapid expansion of feedstock production are considered. If the 2017 projected feedstock supply calculated as ‘available’ for export or biofuel were converted to fuel, it would represent the equivalent of about 38 billion gallons of gasoline. Sugarcane and bagasse dominate the available supply, representing 64% of the total. Among the nations studied, Brazil is the source of about two-thirds of available supplies, followed distantly by Argentina (12%), India and the CBI region.

  1. Upgrading of petroleum oil feedstocks using alkali metals and hydrocarbons

    DOE Patents [OSTI]

    Gordon, John Howard

    2014-09-09T23:59:59.000Z

    A method of upgrading an oil feedstock by removing heteroatoms and/or one or more heavy metals from the oil feedstock composition. This method reacts the oil feedstock with an alkali metal and an upgradant hydrocarbon. The alkali metal reacts with a portion of the heteroatoms and/or one or more heavy metals to form an inorganic phase separable from the organic oil feedstock material. The upgradant hydrocarbon bonds to the oil feedstock material and increases the number of carbon atoms in the product. This increase in the number of carbon atoms of the product increases the energy value of the resulting oil feedstock.

  2. Apply

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta3Appliance andApplicationBerkeleyAppliedApply

  3. The Development of a Hydrothermal Method for Slurry Feedstock Preparation for Gasification Technology

    E-Print Network [OSTI]

    He, Wei

    2011-01-01T23:59:59.000Z

    those of untreated biomass feedstocks; 3. Evaluation of theconcentration in biomass feedstocks [165]. Level of Volatileto carbon ratio when biomass feedstocks are mixed to form a

  4. Preprocessing Moist Lignocellulosic Biomass for Biorefinery Feedstocks

    SciTech Connect (OSTI)

    Neal Yancey; Christopher T. Wright; Craig Conner; J. Richard Hess

    2009-06-01T23:59:59.000Z

    Biomass preprocessing is one of the primary operations in the feedstock assembly system of a lignocellulosic biorefinery. Preprocessing is generally accomplished using industrial grinders to format biomass materials into a suitable biorefinery feedstock for conversion to ethanol and other bioproducts. Many factors affect machine efficiency and the physical characteristics of preprocessed biomass. For example, moisture content of the biomass as received from the point of production has a significant impact on overall system efficiency and can significantly affect the characteristics (particle size distribution, flowability, storability, etc.) of the size-reduced biomass. Many different grinder configurations are available on the market, each with advantages under specific conditions. Ultimately, the capacity and/or efficiency of the grinding process can be enhanced by selecting the grinder configuration that optimizes grinder performance based on moisture content and screen size. This paper discusses the relationships of biomass moisture with respect to preprocessing system performance and product physical characteristics and compares data obtained on corn stover, switchgrass, and wheat straw as model feedstocks during Vermeer HG 200 grinder testing. During the tests, grinder screen configuration and biomass moisture content were varied and tested to provide a better understanding of their relative impact on machine performance and the resulting feedstock physical characteristics and uniformity relative to each crop tested.

  5. Design and Analysis of Flexible Biodiesel Processes with Multiple Feedstocks 

    E-Print Network [OSTI]

    Pokoo-Aikins, Grace Amarachukwu

    2011-10-21T23:59:59.000Z

    With the growing interest in converting a wide variety of biomass-based feedstocks to biofuels, there is a need to develop effective procedures for the design and optimization of multi-feedstock biorefineries. The unifying goal of this work...

  6. Introduction: Integrative Approaches for Estimating Current and Future Feedstock Availability

    SciTech Connect (OSTI)

    West, Tristram O.

    2010-09-08T23:59:59.000Z

    Biomass that is used to generate energy, through conversion processes or direct combustion, is referred to as a bioenergy feedstock. Establishment of bioenergy feedstocks as an agricultural commodity has the potential to alter land management, carbon stocks, water quality, and greenhouse gas emissions over large geographic areas. Estimation of current and future feedstock availability is an essential step in assessing potential environmental and economic impacts of feedstock production. The purpose of this special issue is to communicate integrative approaches that combine data and modeling capabilities for estimation of current and future feedstock availability.

  7. Feedstock Economics for Global Steam Crackers

    E-Print Network [OSTI]

    McCormack, G.; Pavone, T.

    ECONOMIC FACTORS pa~ticula~ count~y p~ovides compa~ative economics on which In calculating p~oduction costs design c~acklng feedstock in each ~egion, f~om the 5 p~oduces ethylene at the lowest alte~native c~acking feedstocks, cost. Compa~lng ~ows...~icing scena~ios. * local ta)(es & insu~ance LOW COST PRODUCERS RESULTS F~om Table 2, the low cost Using all of the above, SRI p~oduce~s a~e Indonesia, Saudi calculated ethylene p~oduction A~abia, South Ko~ea. the US Gulf cost, and cost plus 251. p...

  8. Biomass Feedstock Composition and Property Database

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Office of Energy Efficiency and Renewable Energy's Biomass Program works with industry, academia and national laboratory partners on a balanced portfolio of research in biomass feedstocks and conversion technologies. Through research, development, and demonstration efforts geared at the development of integrated biorefineries, the Biomass Program is helping transform the nation's renewable and abundant biomass resources into cost competitive, high performance biofuels, bioproducts, and biopower.(From the Biomass Program's home page at http://www1.eere.energy.gov/biomass/) The Biomass Feedstock Composition and Property Database allows the user to choose from more than 150 types of biomass samples. The specialized interface then guides the user through choices within the sample (such as "Ash" as a choice in the "Hardwood" sample and displays tables based on choice of composition properties, structure properties, elemental properties, extractive properties, etc.

  9. Processing Cost Analysis for Biomass Feedstocks

    SciTech Connect (OSTI)

    Badger, P.C.

    2002-11-20T23:59:59.000Z

    The receiving, handling, storing, and processing of woody biomass feedstocks is an overlooked component of biopower systems. The purpose of this study was twofold: (1) to identify and characterize all the receiving, handling, storing, and processing steps required to make woody biomass feedstocks suitable for use in direct combustion and gasification applications, including small modular biopower (SMB) systems, and (2) to estimate the capital and operating costs at each step. Since biopower applications can be varied, a number of conversion systems and feedstocks required evaluation. In addition to limiting this study to woody biomass feedstocks, the boundaries of this study were from the power plant gate to the feedstock entry point into the conversion device. Although some power plants are sited at a source of wood waste fuel, it was assumed for this study that all wood waste would be brought to the power plant site. This study was also confined to the following three feedstocks (1) forest residues, (2) industrial mill residues, and (3) urban wood residues. Additionally, the study was confined to grate, suspension, and fluidized bed direct combustion systems; gasification systems; and SMB conversion systems. Since scale can play an important role in types of equipment, operational requirements, and capital and operational costs, this study examined these factors for the following direct combustion and gasification system size ranges: 50, 20, 5, and 1 MWe. The scope of the study also included: Specific operational issues associated with specific feedstocks (e.g., bark and problems with bridging); Opportunities for reducing handling, storage, and processing costs; How environmental restrictions can affect handling and processing costs (e.g., noise, commingling of treated wood or non-wood materials, emissions, and runoff); and Feedstock quality issues and/or requirements (e.g., moisture, particle size, presence of non-wood materials). The study found that over the years the industry has shown a good deal of ingenuity and, as a result, has developed several cost effective methods of processing and handling wood. SMB systems usually cannot afford to perform much onsite processing and therefore usually purchase fuels processed to specification. Owners of larger systems try to minimize onsite processing to minimize processing costs. Whole truck dumpers are expensive, but allow for faster and easier unloading, which reduces labor costs and charges by the haulers. Storage costs are a major factor in overall costs, thus the amount of fuel reserve is an important consideration. Silos and bins are relatively expensive compared to open piles used for larger facilities, but may be required depending on space available, wood characteristics, and amount of wood to be stored. For larger systems, a front-end loader has a lot of flexibility in use and is an essential piece of equipment for moving material. Few opportunities appear to exist for improving the cost effectiveness of these systems.

  10. Survey of Alternative Feedstocks for Commodity Chemical Manufacturing

    SciTech Connect (OSTI)

    McFarlane, Joanna [ORNL; Robinson, Sharon M [ORNL

    2008-02-01T23:59:59.000Z

    The current high prices for petroleum and natural gas have spurred the chemical industry to examine alternative feedstocks for the production of commodity chemicals. High feedstock prices have driven methanol and ammonia production offshore. The U.S. Chemical Industry is the largest user of natural gas in the country. Over the last 30 years, alternatives to conventional petroleum and natural gas feedstocks have been developed, but have limited, if any, commercial implementation in the United States. Alternative feedstocks under consideration include coal from unconventional processing technologies, such as gasification and liquefaction, novel resources such as biomass, stranded natural gas from unconventional reserves, and heavy oil from tar sands or oil shale. These feedstock sources have been evaluated with respect to the feasibility and readiness for production of the highest volume commodity chemicals in the United States. Sources of organic compounds, such as ethanol from sugar fermentation and bitumen-derived heavy crude are now being primarily exploited for fuels, rather than for chemical feedstocks. Overall, government-sponsored research into the use of alternatives to petroleum feedstocks focuses on use for power and transportation fuels rather than for chemical feedstocks. Research is needed to reduce cost and technical risk. Use of alternative feedstocks is more common outside the United States R&D efforts are needed to make these processes more efficient and less risky before becoming more common domestically. The status of alternative feedstock technology is summarized.

  11. CBTL Design Case Summary Conventional Feedstock Supply System - Herbaceous

    SciTech Connect (OSTI)

    Christopher T. Wright; Erin M. Searcy

    2012-02-01T23:59:59.000Z

    A conventional bale feedstock design has been established that represents supply system technologies, costs, and logistics that are achievable today for supplying herbaceous feedstocks as a blendstock with coal for energy production. Efforts are made to identify bottlenecks and optimize the efficiency and capacities of this supply system, within the constraints of existing local feedstock supplies, equipment, and permitting requirements. The feedstock supply system logistics operations encompass all of the activities necessary to move herbaceous biomass feedstock from the production location to the conversion reactor ready for blending and insertion. This supply system includes operations that are currently available such that costs and logistics are reasonable and reliable. The system modeled for this research project includes the uses of field-dried corn stover or switchgrass as a feedstock to annually supply an 800,000 DM ton conversion facility.

  12. Feedstocks (Poster), NREL (National Renewable Energy Laboratory)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist. CategoryFebruaryFebruary 17, 2015Martin E. Griswold,Feedstocks

  13. Advanced Feedstock Supply System | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform is alwaysISO 50001Energy Efficiency GrantsElectrocatalystsFeedstock

  14. Economic Policy and Resource Implications of Biofuel Feedstock Production

    E-Print Network [OSTI]

    Adusumilli, Naveen

    2012-10-19T23:59:59.000Z

    Page 3-4 Net Biofuel Production From Biomass Feedstocks Taking Into Account The Net Energy Ratio Associated With Each Of The Biomass Feedstocks, Switchgrass And High Energy Sorghum In This Case....S. energy supply and the consequent impact on cost of production of biofuels, 4 4 expanding to a national analysis viewing the macro implications of the RFS related to biomass feedstock. The results are of value to decision and policy makers. 1...

  15. Chapter 19: Modeling Tools and Strategies for Developing Sustainable Feedstock Supplies 319 Modeling Tools and Strategies for Developing Sustainable Feedstock Supplies

    E-Print Network [OSTI]

    Dietze, Michael

    biofuel industry around biomass feedstock requires a comprehensive evaluation of agronomic, environmental

  16. Operational Model for C3 Feedstock Optimization on a

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Chemical and refinery grade feedstocks with different prices and propylene purities. Best operation Polypropylene production facility Chemical and refinery grade feedstocks with different prices and propyleneTank Propylene (91%) ~79% propylene ~95% propylene 3 #12;Process and Problem Description Chemical Grade (CG

  17. ORNL/TM-2007/224 BIOFUEL FEEDSTOCK ASSESSMENT FOR

    E-Print Network [OSTI]

    Pennycook, Steve

    ORNL/TM-2007/224 BIOFUEL FEEDSTOCK ASSESSMENT FOR SELECTED COUNTRIES Keith L. Kline Gbadebo A Government or any agency thereof. #12;ORNL/TM-2007/224 BIOFUEL FEEDSTOCK ASSESSMENT FOR SELECTED COUNTRIES To Support the DOE study of Worldwide Potential to Produce Biofuels with a focus on U.S. Imports Keith L

  18. Cryogenic homogenization and sampling of heterogeneous multi-phase feedstock

    DOE Patents [OSTI]

    Doyle, Glenn Michael (Lakewood, CO); Ideker, Virgene Linda (Arvada, CO); Siegwarth, James David (Boulder, CO)

    2002-01-01T23:59:59.000Z

    An apparatus and process for producing a homogeneous analytical sample from a heterogenous feedstock by: providing the mixed feedstock, reducing the temperature of the feedstock to a temperature below a critical temperature, reducing the size of the feedstock components, blending the reduced size feedstock to form a homogeneous mixture; and obtaining a representative sample of the homogeneous mixture. The size reduction and blending steps are performed at temperatures below the critical temperature in order to retain organic compounds in the form of solvents, oils, or liquids that may be adsorbed onto or absorbed into the solid components of the mixture, while also improving the efficiency of the size reduction. Preferably, the critical temperature is less than 77 K (-196.degree. C.). Further, with the process of this invention the representative sample may be maintained below the critical temperature until being analyzed.

  19. Feedstock Quality Factor Calibration and Data Model Development

    SciTech Connect (OSTI)

    Richard D. Boardman; Tyler L. Westover; Garold L. Gresham

    2010-05-01T23:59:59.000Z

    The goal of the feedstock assembly operation is to deliver uniform, quality-assured feedstock materials that will enhance downstream system performance by avoiding problems in the conversion equipment. In order to achieve this goal, there is a need for rapid screening tools and methodologies for assessing the thermochemical quality characteristics of biomass feedstock through the assembly process. Laser-induced breakdown spectroscopy (LIBS) has been identified as potential technique that could allow rapid elemental analyses of the inorganic content of biomass feedstocks; and consequently, would complement the carbohydrate data provided by near-infrared spectrometry (NIRS). These constituents, including Si, K, Ca, Na, S, P, Cl, Mg, Fe and Al, create a number of downstream problems in thermochemical processes. In particular, they reduce the energy content of the feedstock, influence reaction pathways, contribute to fouling and corrosion within systems, poison catalysts, and impact waste streams.

  20. Optimizing Feedstock Logistics and Assessment of Hydrologic Impacts for Sustainable Bio-Energy Production 

    E-Print Network [OSTI]

    Ha, Mi-Ae 1979-

    2012-12-11T23:59:59.000Z

    effective system to convert biomass from agricultural feedstocks to bio-crude oil. Mobile pyrolysis units could be moved to the feedstock production fields thereby greatly simplifying feedstock logistics. In the North Central (NC) region of the U...

  1. Assessment of coal liquids as refinery feedstocks

    SciTech Connect (OSTI)

    Zhou, P.

    1992-02-01T23:59:59.000Z

    The R D of direct coal liquefaction has reached such a stage that current two-stage processes can produce coal liquids with high yields and improved quality at a reasonable cost. To fully realize the potential value, these coal liquids should be refined into high-value liquid transportation fuels. The purpose of this study is to assess coal liquids as feedstocks to be processed by modern petroleum refining technologies. After the introduction, Section 2.0 summarizes ASTM specifications for major transportation fuels: gasoline, jet fuel, and diesel fuel, which serve as a target for coal-liquid refining. A concise description of modern refining processes follows with an emphasis on the requirements for the raw materials. These provide criteria to judge the quality of coal liquids as a refinery feedstock for the production of marketable liquid fuels. Section 3.0 surveys the properties of coal liquids produced by various liquefaction processes. Compared with typical petroleum oils, the current two-stage coal liquids are: Light in boiling range and free of resids and metals; very low in sulfur but relatively high in oxygen; relatively low in hydrogen and high in cyclics content; and essentially toxicologically inactive when end point is lower than 650[degrees]F, particularly after hydroprocessing. Despite these characteristics, the coal liquids are basically similar to petroleum. The modern refining technology is capable of processing coal liquids into transportation fuels meeting all specifications, and hydroprocessinq is obviously the major tool. The important point is the determination of a reasonable product slate and an appropriate refining scheme.

  2. Assessment of coal liquids as refinery feedstocks

    SciTech Connect (OSTI)

    Zhou, P.

    1992-02-01T23:59:59.000Z

    The R&D of direct coal liquefaction has reached such a stage that current two-stage processes can produce coal liquids with high yields and improved quality at a reasonable cost. To fully realize the potential value, these coal liquids should be refined into high-value liquid transportation fuels. The purpose of this study is to assess coal liquids as feedstocks to be processed by modern petroleum refining technologies. After the introduction, Section 2.0 summarizes ASTM specifications for major transportation fuels: gasoline, jet fuel, and diesel fuel, which serve as a target for coal-liquid refining. A concise description of modern refining processes follows with an emphasis on the requirements for the raw materials. These provide criteria to judge the quality of coal liquids as a refinery feedstock for the production of marketable liquid fuels. Section 3.0 surveys the properties of coal liquids produced by various liquefaction processes. Compared with typical petroleum oils, the current two-stage coal liquids are: Light in boiling range and free of resids and metals; very low in sulfur but relatively high in oxygen; relatively low in hydrogen and high in cyclics content; and essentially toxicologically inactive when end point is lower than 650{degrees}F, particularly after hydroprocessing. Despite these characteristics, the coal liquids are basically similar to petroleum. The modern refining technology is capable of processing coal liquids into transportation fuels meeting all specifications, and hydroprocessinq is obviously the major tool. The important point is the determination of a reasonable product slate and an appropriate refining scheme.

  3. Interactions among bioenergy feedstock choices, landscape dynamics, and land use

    SciTech Connect (OSTI)

    Dale, Virginia H [ORNL; Kline, Keith L [ORNL; Wright, Lynn L [ORNL; Perlack, Robert D [ORNL; Downing, Mark [ORNL; Graham, Robin Lambert [ORNL

    2011-01-01T23:59:59.000Z

    Landscape implications of bioenergy feedstock choices are significant and depend on land-use practices and their environmental impacts. Although land-use changes and carbon emissions associated with bioenergy feedstock production are dynamic and complicated, lignocellulosic feedstocks may offer opportunities that enhance sustainability when compared to other transportation fuel alternatives. For bioenergy sustainability, major drivers and concerns revolve around energy security, food production, land productivity, soil carbon and erosion, greenhouse gas emissions, biodiversity, air quality, and water quantity and quality. The many implications of bioenergy feedstock choices require several indicators at multiple scales to provide a more complete accounting of effects. Ultimately, the long-term sustainability of bioenergy feedstock resources (as well as food supplies) throughout the world depends on land-use practices and landscape dynamics. Land-management decisions often invoke trade-offs among potential environmental effects and social and economic factors as well as future opportunities for resource use. The hypothesis being addressed in this paper is that sustainability of bioenergy feedstock production can be achieved via appropriately designed crop residue and perennial lignocellulosic systems. We find that decision makers need scientific advancements and adequate data that both provide quantitative and qualitative measures of the effects of bioenergy feedstock choices at different spatial and temporal scales and allow fair comparisons among available options for renewable liquid fuels.

  4. Method for determining processability of a hydrocarbon containing feedstock

    DOE Patents [OSTI]

    Schabron, John F.; Rovani, Jr., Joseph F.

    2013-09-10T23:59:59.000Z

    Disclosed herein is a method involving the steps of (a) precipitating an amount of asphaltenes from a liquid sample of a first hydrocarbon-containing feedstock having solvated asphaltenes therein with one or more first solvents in a column; (b) determining one or more solubility characteristics of the precipitated asphaltenes; (c) analyzing the one or more solubility characteristics of the precipitated asphaltenes; and (d) correlating a measurement of feedstock reactivity for the first hydrocarbon-containing feedstock sample with a mathematical parameter derived from the results of analyzing the one or more solubility characteristics of the precipitated asphaltenes.

  5. Mechanistic kinetic modeling of the hydrocracking of complex feedstocks

    E-Print Network [OSTI]

    Kumar, Hans

    2009-05-15T23:59:59.000Z

    Two separate mechanistic kinetic models have been developed for the hydrocracking of complex feedstocks. The first model is targeted for the hydrocracking of vacuum gas oil. The second one addresses specifically the hydrocracking of long...

  6. amorphous powder feedstock: Topics by E-print Network

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

    Texas A&M University - TxSpace Summary: Page 3-4 Net Biofuel Production From Biomass Feedstocks Taking Into Account The Net Energy Ratio Associated With Each Of The Biomass...

  7. Feedstock and Conversion Supply System Design and Analysis

    SciTech Connect (OSTI)

    J. Jacobson; R. Mohammad; K. Cafferty; K. Kenney; E. Searcy; J. Hansen

    2014-09-01T23:59:59.000Z

    The success of the earlier logistic pathway designs (Biochemical and Thermochemical) from a feedstock perspective was that it demonstrated that through proper equipment selection and best management practices, conventional supply systems (referred to in this report as “conventional designs,” or specifically the 2012 Conventional Design) can be successfully implemented to address dry matter loss, quality issues, and enable feedstock cost reductions that help to reduce feedstock risk of variable supply and quality and enable industry to commercialize biomass feedstock supply chains. The caveat of this success is that conventional designs depend on high density, low-cost biomass with no disruption from incremental weather. In this respect, the success of conventional designs is tied to specific, highly productive regions such as the southeastern U.S. which has traditionally supported numerous pulp and paper industries or the Midwest U.S for corn stover.

  8. Design and Analysis of Flexible Biodiesel Processes with Multiple Feedstocks

    E-Print Network [OSTI]

    Pokoo-Aikins, Grace Amarachukwu

    2011-10-21T23:59:59.000Z

    DESIGN AND ANALYSIS OF FLEXIBLE BIODIESEL PROCESSES WITH MULTIPLE FEEDSTOCKS A Dissertation by GRACE AMARACHUKWU POKOO-AIKINS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of DOCTOR OF PHILOSOPHY August 2010 Major Subject: Chemical Engineering DESIGN AND ANALYSIS OF FLEXIBLE BIODIESEL PROCESSES WITH MULTIPLE FEEDSTOCKS A Dissertation by GRACE AMARACHUKWU POKOO...

  9. Cellulosic Biomass Feedstocks and Logistics for Ethanol Production

    SciTech Connect (OSTI)

    J. Richard Hess; Christopher T. Wright; Kevin L. Kenney

    2007-10-01T23:59:59.000Z

    The economic competitiveness of cellulosic ethanol production is highly dependent on feedstock cost, which constitutes 35–50% of the total ethanol production cost, depending on various geographical factors and the types of systems used for harvesting, collecting, preprocessing, transporting, and handling the material. Consequently, as the deployment of cellulosic ethanol biorefi neries approaches, feedstock cost and availability are the driving factors that infl uence pioneer biorefi nery locations and will largely control the rate at which this industry grows. Initial scenarios were postulated to develop a pioneer dry feedstock supply system design case as a demonstration of the current state of technology. Based on this pioneer design, advanced scenarios were developed to determine key cost barriers, needed supply system improvements, and technology advancements to achieve government and private sector cost targets. Analysis of the pioneer supply system resulted in a delivered feedstock cost to the throat of the pretreatment reactor of $37.00 per dry tonne (2002 $). Pioneer supply systems will start by using current infrastructure and technologies and be individually designed for biorefi neries using specifi c feedstock types and varieties based on local geographic conditions. As the industry develops and cost barriers are addressed, the supply systems will incorporate advanced technologies that will eliminate downstream diversity and provide a uniform, tailored feedstock for multiple biorefi neries located in different regions.

  10. Integration of Industrial Scale Processes using Biomass Feedstock in the Petrochemical Complex ofBiomass Feedstock in the Petrochemical Complex of

    E-Print Network [OSTI]

    Pike, Ralph W.

    Integration of Industrial Scale Processes using Biomass Feedstock in the Petrochemical Complex ofBiomass Feedstock in the Petrochemical Complex of the Lower Mississippi River Corridor Debalina Sengupta1, Ralph W

  11. Roadmap for Agriculture Biomass Feedstock Supply in the United States

    SciTech Connect (OSTI)

    J. Richard Hess; Thomas D. Foust; Reed Hoskinson; David Thompson

    2003-11-01T23:59:59.000Z

    The Biomass Research and Development Technical Advisory Committee established a goal that biomass will supply 5% of the nation’s power, 20% of its transportation fuels, and 25% of its chemicals by 2030. These combined goals are approximately equivalent to 30% of the country’s current petroleum consumption. The benefits of a robust biorefinery industry supplying this amount of domestically produced power, fuels, and products are considerable, including decreased demand for imported oil, revenue to the depressed agricultural industry, and revitalized rural economies. A consistent supply of highquality, low-cost feedstock is vital to achieving this goal. This biomass roadmap defines the research and development (R&D) path to supplying the feedstock needs of the biorefinery and to achieving the important national goals set for biomass. To meet these goals, the biorefinery industry must be more sustainable than the systems it will replace. Sustainability hinges on the economic profitability of all participants, on environmental impact of every step in the process, and on social impact of the product and its production. In early 2003, a series of colloquies were held to define and prioritize the R&D needs for supplying feedstock to the biorefinery in a sustainable manner. These colloquies involved participants and stakeholders in the feedstock supply chain, including growers, transporters, equipment manufacturers, and processors as well as environmental groups and others with a vested interest in ensuring the sustainability of the biorefinery. From this series of colloquies, four high-level strategic goals were set for the feedstock area: • Biomass Availability – By 2030, 1 billion dry tons of lignocellulosic feedstock is needed annually to achieve the power, fuel, and chemical production goals set by the Biomass Research and Development Technology Advisory Production Committee • Sustainability – Production and use of the 1 billion dry tons annually must be accomplished in a sustainable manner • Feedstock Infrastructure – An integrated feedstock supply system must be developed and implemented that can serve the feedstock needs of the biorefinery at the cost, quality, and consistency of the set targets • System Profitability – Economic profitability and sustainability need to be ensured for all required participants in the feedstock supply system. For each step in the biomass supply process—production, harvesting and collection, storage, preprocessing, system integration, and transportation—this roadmap addresses the current technical situations, performance targets, technical barriers, R&D needs, and R&D priorities to overcome technical barriers and achieve performance targets. Crop residue biomass is an attractive starting feedstock, which shows the best near-term promise as a biorefinery feedstock. Because crop residue is a by-product of grain production, it is an abundant, underutilized, and low cost biomass resource. Corn stover and cereal straw are the two most abundant crop residues available in the United States. Therefore, this roadmap focuses primarily on the R&D needed for using these biomass sources as viable biorefinery feedstocks. However, achieving the goal of 1 billion dry tons of lignocellulosic feedstock will require the use of other biomass sources such as dedicated energy crops. In the long term, the R&D needs identified in this roadmap will need to accommodate these other sources of biomass as well.

  12. CX-010626: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Investigate Production of Commodity Chemicals using Carbon Dioxide and Carbon Feedstocks Including Methane CX(s) Applied: A9, B3.6 Date: 07/12/2013 Location(s): North Carolina Offices(s): National Energy Technology Laboratory

  13. CX-005928: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Regional Biomass Feedstock Partnership Fiscal Year 2011CX(s) Applied: A9Date: 05/17/2011Location(s): South DakotaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  14. Processes prevent detrimental effects from As and Hg in feedstocks

    SciTech Connect (OSTI)

    Sarrazin, P.; Cameron, C.J.; Barthel, Y. (Institut Francais du Petrole (IFP), 92 - Rueil-Malmaison (France)); Morrison, M.E. (IFP Enterprises Texas Inc., Houston, TX (United States))

    1993-01-25T23:59:59.000Z

    The wide range of mercury and arsenic species sometimes present in raw condensates or crude oils can cause major problems such as corrosion and reduced catalyst life. This paper reports on simple, low-investment, feedstock treatment procedures which have been developed that eliminate both As and Hg impurities with very high efficiencies. During the past 20 years, refiners and petrochemical producers have experienced a serious increase in catalyst poisoning caused by mercury and arsenic. This phenomenon may be partically explained by the diversification of the feedstock supply resulting from the need to optimize the profitability of refining and petrochemical operations. The utilization of a more diverse feedstock supply containing metal impurities has led to operating problems such as corrosion of aluminum alloys in steam cracker cold boxes.

  15. New catalysts improves heavy feedstock hydro-cracking

    SciTech Connect (OSTI)

    Hoek, A.; Huizinga, T.; Esener, A.A.; Maxwell, I.E.; Stork, W. (Koninklijke/Shell Laboratorium, Amsterdam (NL)); van de Meerakker, F.J. (Shell Internationale Petroleum Maatschappij BV, The Hauge (NL)); Sy, O. (Shell Canada Ltd., Oakville, Ontario (CA))

    1991-04-22T23:59:59.000Z

    A new zeolite-Y-based second-stage hydrocracking catalyst, designated S-703, has been developed by Shell. Laboratory testing and commercial use show it has significantly improved performance with respect to gas make and middle-distillate selectivity in processing heavy feedstocks when compared to a Shell catalyst, S-753, developed earlier. Further, the new catalyst exhibits enhanced stability. Extensive laboratory testing of the S-703 catalyst has been carried out under single-stage, stacked- bed, two-stage-flow, and series-flow conditions. Commercial experience with the new catalyst has now been obtained in several units. To date, the commercial results have confirmed the laboratory results in terms of the superior, heavy- feedstock processing performance of the new catalyst in all respects. Because the trend toward heavier feedstocks is expected to continue, it is likely that catalysts such as S- 703 will find increasing applications in hydrocrackers in the future.

  16. CBTL Design Case Summary Conventional Feedstock Supply System - Woody

    SciTech Connect (OSTI)

    Christopher T. Wright; Erin M. Searcy

    2012-02-01T23:59:59.000Z

    A conventional woody feedstock design has been developed that represents supply system technologies, costs, and logistics that are achievable today for supplying woody biomass as a blendstock with coal for energy production. Efforts are made to identify bottlenecks and optimize the efficiency and capacities of this supply system, within the constraints and consideration of existing local feedstock supplies, equipment, and permitting requirements. The feedstock supply system logistics operations encompass all of the activities necessary to move woody biomass from the production location to the conversion reactor ready for blending and insertion. This supply system includes operations that are currently available such that costs and logistics are reasonable and reliable. The system modeled for this research project includes the use of the slash stream since it is a more conservative analysis and represents the material actually used in the experimental part of the project.

  17. Cost Methodology for Biomass Feedstocks: Herbaceous Crops and Agricultural Residues

    SciTech Connect (OSTI)

    Turhollow Jr, Anthony F [ORNL; Webb, Erin [ORNL; Sokhansanj, Shahabaddine [ORNL

    2009-12-01T23:59:59.000Z

    This report describes a set of procedures and assumptions used to estimate production and logistics costs of bioenergy feedstocks from herbaceous crops and agricultural residues. The engineering-economic analysis discussed here is based on methodologies developed by the American Society of Agricultural and Biological Engineers (ASABE) and the American Agricultural Economics Association (AAEA). An engineering-economic analysis approach was chosen due to lack of historical cost data for bioenergy feedstocks. Instead, costs are calculated using assumptions for equipment performance, input prices, and yield data derived from equipment manufacturers, research literature, and/or standards. Cost estimates account for fixed and variable costs. Several examples of this costing methodology used to estimate feedstock logistics costs are included at the end of this report.

  18. Challenge # 1. Feedstock & Production | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T, Inc.'sEnergyTexas1. Feedstock & Production Challenge # 1. Feedstock

  19. Macroalgae as a Biomass Feedstock: A Preliminary Analysis

    SciTech Connect (OSTI)

    Roesijadi, Guritno; Jones, Susanne B.; Snowden-Swan, Lesley J.; Zhu, Yunhua

    2010-09-26T23:59:59.000Z

    A thorough of macroalgae analysis as a biofuels feedstock is warranted due to the size of this biomass resource and the need to consider all potential sources of feedstock to meet current biomass production goals. Understanding how to harness this untapped biomass resource will require additional research and development. A detailed assessment of environmental resources, cultivation and harvesting technology, conversion to fuels, connectivity with existing energy supply chains, and the associated economic and life cycle analyses will facilitate evaluation of this potentially important biomass resource.

  20. Developing a Portfolio of Sustainable Bioenergy Feedstock Production Systems for the US Midwest: A Research and Demonstration Project

    E-Print Network [OSTI]

    Debinski, Diane M.

    a growing portion of our bioenergy feedstocks. While such second generation feedstocks show numerous on fossil fuels. In response, the demand for feedstocks for liquid biofuels will continue to grow

  1. Developing a Portfolio of Sustainable Bioenergy Feedstock Production Systems for the US Midwest: A Research and Demonstration Project

    E-Print Network [OSTI]

    Jager, Henriette I.

    a growing portion of our bioenergy feedstocks. While such "second generation" feedstocks show numerous on fossil fuels. In response, the demand for feedstocks for liquid biofuels will continue to grow

  2. Feedstock Logistics of a Mobile Pyrolysis System and Assessment of Soil Loss Due to Biomass Removal for Bioenergy Production 

    E-Print Network [OSTI]

    Bumguardner, Marisa

    2012-10-19T23:59:59.000Z

    The purpose of this study was to assess feedstock logistics for a mobile pyrolysis system and to quantify the amount of soil loss caused by harvesting agricultural feedstocks for bioenergy production. The analysis of feedstock logistics...

  3. Life-cycle assessment of local feedstock supply scenarios to compare1 candidate biomass sources2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Running Title : LCA of local biomass feedstocks3 4 Caroline H. Godard1* , Joachim Boissy1 , Benoît scientific elements to both support the42 choice of flax shives as the main biomass feedstock, and to help

  4. The Development of a Hydrothermal Method for Slurry Feedstock Preparation for Gasification Technology

    E-Print Network [OSTI]

    He, Wei

    2011-01-01T23:59:59.000Z

    feedstocks at a dual fluidised bed gasifier: Impacts ofThe ash chemistry in fluidised bed gasification of biomass

  5. World Academy of Science, Engineering and Technology 64 2012 Effect of Biomass Feedstocks on the

    E-Print Network [OSTI]

    Hydrogenated Biodiesel; Panatcha Bovornseripatai; Siriporn Jongpatiwut; Somchai Osuwan; Suchada Butnark

    and selectivity in hydrogenated biodiesel. In this work, the effect of biomass feedstocks (i.e. beef

  6. Biomass Program Outreach and Communication The Bioenergy Feedstock Information Network (BFIN)

    E-Print Network [OSTI]

    ) About ten years ago ORNL launched BFIN providing a gateway to a wealth of biomass feedstock information and industry stakeholders formed with the goal of annually producing biomass feedstock aimed for cost determined the biomass feedstocks available within a region and identified research gaps and other barriers

  7. Genetic engineering of cyanobacteria as biodiesel feedstock.

    SciTech Connect (OSTI)

    Ruffing, Anne M.; Trahan, Christine Alexandra; Jones, Howland D. T.

    2013-01-01T23:59:59.000Z

    Algal biofuels are a renewable energy source with the potential to replace conventional petroleum-based fuels, while simultaneously reducing greenhouse gas emissions. The economic feasibility of commercial algal fuel production, however, is limited by low productivity of the natural algal strains. The project described in this SAND report addresses this low algal productivity by genetically engineering cyanobacteria (i.e. blue-green algae) to produce free fatty acids as fuel precursors. The engineered strains were characterized using Sandia's unique imaging capabilities along with cutting-edge RNA-seq technology. These tools are applied to identify additional genetic targets for improving fuel production in cyanobacteria. This proof-of-concept study demonstrates successful fuel production from engineered cyanobacteria, identifies potential limitations, and investigates several strategies to overcome these limitations. This project was funded from FY10-FY13 through the President Harry S. Truman Fellowship in National Security Science and Engineering, a program sponsored by the LDRD office at Sandia National Laboratories.

  8. CX-011122: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Biomass Feedstock Supply Chain for Lower Cost, Higher Quality Feedstock Delivery CX(s) Applied: A9, B5.15 Date: 08/26/2013 Location(s): Ohio, Iowa, Iowa, Kansas, Tennessee Offices(s): Golden Field Office

  9. Effect of biomass feedstock chemical and physical properties on energy conversion processes: Volume 1, Overview

    SciTech Connect (OSTI)

    Butner, R.S.; Elliott, D.C.; Sealock, L.J. Jr.; Pyne, J.W.

    1988-12-01T23:59:59.000Z

    Pacific Northwest Laboratory has completed an initial investigation of the effects of physical and chemical properties of biomass feedstocks relative to their performance in biomass energy conversion systems. Both biochemical conversion routes (anaerobic digestion and ethanol fermentation) and thermochemical routes (combustion, pyrolysis, and gasification) were included in the study. Related processes including chemical and physical pretreatment to improve digestibility, and size and density modification processes such as milling and pelletizing were also examined. This overview report provides background and discussion of feedstock and conversion relationships, along with recommendations for future research. The recommendations include (1) coordinate production and conversion research programs; (2) quantify the relationship between feedstock properties and conversion priorities; (3) develop a common framework for evaluating and characterizing biomass feedstocks; (4) include conversion effects as part of the criteria for selecting feedstock breeding programs; and (5) continue emphasis on multiple feedstock/conversion options for biomass energy systems. 9 refs., 3 figs., 2 tabs.

  10. 2011 Biomass Program Platform Peer Review: Feedstock | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of BadTHE U.S.Energy MoreEnergy back_cover.pdfFeedstock 2011

  11. Alternative Feedstocks Program Technical and Economic Assessment: Thermal/Chemical and Bioprocessing Components

    SciTech Connect (OSTI)

    Bozell, J. J.; Landucci, R.

    1993-07-01T23:59:59.000Z

    This resource document on biomass to chemicals opportunities describes the development of a technical and market rationale for incorporating renewable feedstocks into the chemical industry in both a qualitative and quantitative sense. The term "renewable feedstock?s" can be defined to include a huge number of materials such as agricultural crops rich in starch, lignocellulosic materials (biomass), or biomass material recovered from a variety of processing wastes.

  12. The Development of a Hydrothermal Method for Slurry Feedstock Preparation for Gasification Technology

    E-Print Network [OSTI]

    He, Wei

    2011-01-01T23:59:59.000Z

    behavior, etc. ; 4. HTP of other renewable feedstocks, suchHydro-Thermal Pretreatment (HTP) process that will result inof a laboratory scale HTP process. Four carbonaceous

  13. Rapid characterization of lignocellulosic feedstocks for fuels and chemicals: Molecular beam mass spectrometric approach

    SciTech Connect (OSTI)

    Agblevor, F.A.; Davis, M.F. [National Renewable Energy Lab., Golden, CO (United States)

    1996-12-31T23:59:59.000Z

    Rapid characterization of biomass feedstocks has a pivotal role in the development of biomass energy because of the large number of samples that must be analyzed due to the diversity of biomass feedstocks and the significant differences in the chemical and physical properties of these feedstocks. Several biomass feedstocks (herbaceous, woody, and agricultural residues) were screened for the effects of storage, season of harvest, geographic location, clonal, and species variation on the pyrolysis products of the feed stocks. For herbaceous species such as sericea lespedeza, the season of harvest had a significant effect on the pyrolysis products. Effects of clonal variation on the composition of hybrid poplar feedstocks was easily discerned with the molecular beam mass spectrometric analysis. The effect of geographic location on the poplar clones pyrolysis products was minimal. However in the case of switchgrass, varietal influence on the pyrolysis products was minimal, but where the plant was grown had a strong influence on the pyrolysis products of the feedstock. Significant differences because of species variation could also be shown from the pyrolysis products of various biomass feedstocks. The influence of storage time on biomass samples stored outside in the open could also be discerned from the pyrolysis products of the feedstocks. The differences noted in the pyrolysis products of the feedstocks were noted for samples which were significantly degraded during storage either through the action of microflora or weathering.

  14. Ligncellulosic feedstock supply systems with intermodal and overseas transportation

    SciTech Connect (OSTI)

    Ric Hoefnagels; Kara Cafferty; Erin Searcy; Jacob J. Jacobson; Martin Junginger; Thijs Cornelissen; Andre Faaij

    2014-12-01T23:59:59.000Z

    With growing demand for biomass from industrial uses and international trade, the logistic operations required to economically move the biomass from the field or forest to the end users have become increasingly complex. In addition to economics, understanding energy and GHG emissions is required to design cost effective, sustainable logistic process operations; in order to improve international supply chains it is also important to understate their interdependencies and related uncertainties. This article presents an approach to assess lignocellulosic feedstock supply systems at the operational level. For this purpose, the Biomass Logistic Model (BLM) has been linked with the Geographic Information Systems based Biomass Intermodal Transportation model (BIT-UU) and extended with inter-continental transport routes. Case studies of herbaceous and woody biomass, produced in the U.S. Midwest and U.S. Southeast, respectively, and shipped to Europe for conversion to Fischer-Tropsch (FT) diesel are included to demonstrate how intermodal transportation and, in particular, overseas shipping integrates with the bioenergy supply chains. For the cases demonstrated, biomass can be supplied at 99 € Mg-1 to 117 € Mg-1 (dry) and converted to FT-diesel at 19 € GJ-1 to 24 € GJ-1 depending on the feedstock type and location, intermediate (chips or pellets) and size of the FT-diesel production plant. With the flexibility to change the design of supply chains as well as input variables, many alternative supply chain cases can be assessed.

  15. Nipa (Nypa fruticans) sap as a potential feedstock for ethanol production Pramila Tamunaidu1

    E-Print Network [OSTI]

    Takada, Shoji

    . Introduction Currently the global ethanol supply is produced mainly from sugar and starch feedstocks. Sugar these feedstocks rely heavily on non-renewable fossil fuels and exploitation of forest lands which has negative cutting down the plant as in sugarcane which consequently produces large biomass waste such as straw

  16. SWITCHGRASS RESPONSE TO N FERTILIZER ACROSS DIVERSE ENVIRONMENTS CONTACT INFORMATION: A: A REGIONAL FEEDSTOCK PARTNERSHIP REPORT

    E-Print Network [OSTI]

    Pawlowski, Wojtek

    : A REGIONAL FEEDSTOCK PARTNERSHIP REPORT Vance Owens a , David Bransby b , Rodney Farris c , John Fike d , Emily Heaton e , Chang Oh Hong a , Carla Hopkins b , Hilary Mayton f , Rob Mitchell g , Donald Viands f f The Regional Feedstock Partnership is a collaborative effort between the Sun Grant Initiative

  17. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and data uploads from individuals.

  18. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. Holdings include datasets, models, and maps. [from https://www.bioenergykdf.net/content/about

  19. Method for estimating processability of a hydrocarbon-containing feedstock for hydroprocessing

    DOE Patents [OSTI]

    Schabron, John F; Rovani, Jr., Joseph F

    2014-01-14T23:59:59.000Z

    Disclosed herein is a method involving the steps of (a) precipitating an amount of asphaltenes from a liquid sample of a first hydrocarbon-containing feedstock having solvated asphaltenes therein with one or more first solvents in a column; (b) determining one or more solubility characteristics of the precipitated asphaltenes; (c) analyzing the one or more solubility characteristics of the precipitated asphaltenes; and (d) correlating a measurement of feedstock reactivity for the first hydrocarbon-containing feedstock sample with a mathematical parameter derived from the results of analyzing the one or more solubility characteristics of the precipitates asphaltenes. Determined parameters and processabilities for a plurality of feedstocks can be used to generate a mathematical relationship between parameter and processability; this relationship can be used to estimate the processability for hydroprocessing for a feedstock of unknown processability.

  20. A national research & development strategy for biomass crop feedstocks

    SciTech Connect (OSTI)

    Wright, L.L.; Cushman, J.H.

    1997-07-01T23:59:59.000Z

    Planning was initiated in 1996 with the objective of reevaluating current biomass feedstock research and development strategies to: (1) assure that by 2005, one or more commercial lignocellulosic to ethanol projects will be able to acquire a dependable supply of biomass crop feedstocks; (2) assure that recently initiated demonstrations of crops to electricity will be successful and; (3) assure that the research base needed to support future biomass industry expansion is being developed. Multiple trends and analyses indicate that biomass energy research and development strategies must take into account the fact that competition for land will define the upper limits of available biomass energy crop supplies and will largely dictate the price of those supplies. Only crop production and utilization strategies which contribute profit to the farmer or landowner and to energy producers will be used commercially for biomass energy production. Strategies for developing biomass {open_quotes}energy{close_quotes} crop supplies must take into consideration all of the methods by which biomass crops will enter biomass energy markets. The lignocellulosic materials derived from crops can be available as primary residues or crop by-products; secondary residues or processing by-products; co-products (at both the crop production and processing stages); or, as dedicated energy crops. Basic research and development (R&D) leading to yield improvement continues to be recommended as a major long-term focus for dedicated energy crops. Many additional near term topics need attention, some of which are also applicable to by-products and co-products. Switchgrass R&D should be expanded and developed with greater collaboration of USDA and state extension groups. Woody crop research should continue with significant cost-share from industries developing the crops for other commercial products. Co-product options need more investigation.

  1. The usability of switchgrass, rice straw, and logging residue as feedstocks for power generation in East Texas 

    E-Print Network [OSTI]

    Hong, Sung Wook

    2007-09-17T23:59:59.000Z

    increases. Current biomass feedstock production costs are generally too high for biomass feedstock to replace coal in power generation. However I find that GHG offset prices can make biomass economically attractive. In particular GHG offset prices...

  2. CdTe Feedstock Development and Validation: Cooperative Research and Development Final Report, CRADA Number CRD-08-00280

    SciTech Connect (OSTI)

    Albin, D.

    2011-05-01T23:59:59.000Z

    The goal of this work was to evaluate different CdTe feedstock formulations (feedstock provided by Redlen) to determine if they would significantly improve CdTe performance with ancillary benefits associated with whether changes in feedstock would affect CdTe cell processing and possibly reliability of cells. Feedstock also included attempts to intentionally dope the CdTe with pre-selected elements.

  3. Chemical composition and characterization of cellulose for Agave as a fast-growing, drought-tolerant biofuels feedstock

    E-Print Network [OSTI]

    California at Riverside, University of

    -tolerant biofuels feedstock Hongjia Li,abd Marcus B. Foston,cd Rajeev Kumar,bd Reichel Samuel,cd Xiadi Gao,abd Fan lignocellulosic feedstock for biofuels production. Because agave composition will establish the maximum potential for further characterization and conversion of different agave species as biofuels feedstocks for semi

  4. Ionic Liquids as Solvents for Catalytic Conversion of Lignocellulosic Feedstocks

    E-Print Network [OSTI]

    Dee, Sean Joseph

    2012-01-01T23:59:59.000Z

    E. Amonette, Z. C. Zhang, Applied Catalysis a-General 2009,Y. Ma, Y. D. Li, Applied Catalysis a-General 2010, 385, 1-

  5. Method for predicting fouling tendency of a hydrocarbon-containing feedstock

    DOE Patents [OSTI]

    Schabron, John F; Rovani, Jr., Joseph F

    2013-07-23T23:59:59.000Z

    Disclosed herein is a method involving the steps of (a) precipitating an amount of asphaltenes from a liquid sample of a first hydrocarbon-containing feedstock having solvated asphaltenes therein with one or more first solvents in a column; (b) determining one or more solubility characteristics of the precipitated asphaltenes; (c) analyzing the one or more solubility characteristics of the precipitated asphaltenes; and (d) correlating a measurement of feedstock fouling tendency for the first hydrocarbon-containing feedstock sample with a mathematical parameter derived from the results of analyzing the one or more solubility characteristics of the precipitated asphaltenes.

  6. Feedstock blending studies with laboratory indirectly heated gasifiers

    SciTech Connect (OSTI)

    Green, A.E.S.; Mullin, J.P.

    1999-10-01T23:59:59.000Z

    To support the further development of indirectly heated gasifiers intended to provide fuels for advanced gas turbines, several indirectly heated laboratory gasifiers were constructed. During many comparative tests, advantages and problems with each system were observed. The most useful systems make use of laboratory tube furnaces in conjunction with temperature, time and pressure or volume yield measuring systems and a gas chromatograph with a thermal conductivity detector. In this paper, high temperature pyrolysis results obtained with the latest system are presented. Contrasting feedstocks suitable for commercial systems separately or in blends are used. Yield versus time measurements are used to determine relevant rate constants and outputs. Since the rate constants are mainly reflective of heat transfer effects, cylindrical dowel sticks of varying radii were volatilized. The data set leads to an analytic heat transfer model that considers the hemicellulose, cellulose, and lignin components of the dowels. Also developed from the dowel experiments is an approximate procedure for estimating the proportionate releases of CO, CO{sub 2}, CH{sub 4}, and H{sub 2} for any type of biomass whose component proportions are known.

  7. Practical Considerations of Moisture in Baled Biomass Feedstocks

    SciTech Connect (OSTI)

    William A. Smith; Ian J. Bonner; Kevin L. Kenney; Lynn M. Wendt

    2013-01-01T23:59:59.000Z

    Agricultural residues make up a large portion of the immediately available biomass feedstock for renewable energy markets. Current collection and storage methods rely on existing feed and forage practices designed to preserve nutrients and properties of digestibility. Low-cost collection and storage practices that preserve carbohydrates across a range of inbound moisture contents are needed to assure the economic and technical success of the emerging biomass industry. This study examines the movement of moisture in storage and identifies patterns of migration resulting from several on-farm storage systems and their impacts on moisture measurement and dry matter recovery. Baled corn stover and energy sorghum were stored outdoors in uncovered, tarp-covered, or wrapped stacks and sampled periodically to measure moisture and dry matter losses. Interpolation between discrete sampling locations in the stack improved bulk moisture content estimates and showed clear patterns of accumulation and re-deposition. Atmospheric exposure, orientation, and contact with barriers (i.e., soil, tarp, and wrap surfaces) were found to cause the greatest amount of moisture heterogeneity within stacks. Although the bulk moisture content of many stacks remained in the range suitable for aerobic stability, regions of high moisture were sufficient to support microbial activity, thus support dry matter loss. Stack configuration, orientation, and coverage methods are discussed relative to impact on moisture management and dry matter preservation. Additionally, sample collection and data analysis are discussed relative to assessment at the biorefinery as it pertains to stability in storage, queuing, and moisture carried into processing.

  8. Technology Offer Cell factory for R-mandelate biosynthesis from feed-stock

    E-Print Network [OSTI]

    , fermentative procedure. The biocatalytic process starts from feed-stock. No use of petrol derived chemicals and deprotection) and/or use of highly toxic chemicals (Cyanide) synthesis and work-up; use of petrol derived

  9. Perennial Agroenergy Feedstocks as En Route Habitat for Spring Migratory Birds

    E-Print Network [OSTI]

    Landis, Doug

    to evaluate the ability of two candidate second-generation agroenergy feed- stocks (switchgrass, Panicum- generation agroenergy feedstocks may provide suitable hab- itat. We take a multi-scaled spatial approach. Keywords Biofuels . Agriculture . Grassland birds . Habitat selection . Agroecology . Switchgrass

  10. Synthesis of Mesoporous Aluminophosphates as Potential Catalysts in the Upgrading Petroleum Feedstocks

    SciTech Connect (OSTI)

    Ingram, Conrad, PH.D.

    2002-03-20T23:59:59.000Z

    This project focuses on the synthesis of mesoporous aluminophosphate (AlPO) catalysts for application in the acid catalyzed conversion of large petroleum feedstock compounds to Useful middle distillates and naphtha transportation fuels.

  11. The Economic and Financial Implications of Supplying a Bioenergy Conversion Facility with Cellulosic Biomass Feedstocks 

    E-Print Network [OSTI]

    McLaughlin, Will

    2012-02-14T23:59:59.000Z

    biomass feedstocks. Targeting the Middle Gulf Coast, Edna-Ganado, Texas area, mathematical programming in the form of a cost-minimization linear programming model(Sorghasaurus) is used to assess the financial and economic logistics costs for supplying a...

  12. Investigating the Use of Ion Exchange Resins for Processing Biodiesel Feedstocks 

    E-Print Network [OSTI]

    Jamal, Yousuf 1973-

    2012-11-27T23:59:59.000Z

    Ion exchange resins, commonly used in water treatment, demonstrate promise for the production of biodiesel from biomass feedstocks. The goal of this presented PhD research is to investigate novel uses of ion exchange resins for processing biodiesel...

  13. Wide Hybridization, Genomic, and Overwintering Characterization of High-Biomass Sorghum Spp. Feedstocks 

    E-Print Network [OSTI]

    Whitmire, David Kyle

    2012-10-19T23:59:59.000Z

    feedstocks incentivizes the development of versatile biomass products with greater end-use possibilities, as in either a forage or bioenergy system. High-biomass, perennial grasses offer dual-use potential in either forage or biofuel systems. In 2009...

  14. The Economic and Financial Implications of Supplying a Bioenergy Conversion Facility with Cellulosic Biomass Feedstocks

    E-Print Network [OSTI]

    McLaughlin, Will

    2012-02-14T23:59:59.000Z

    biomass feedstocks. Targeting the Middle Gulf Coast, Edna-Ganado, Texas area, mathematical programming in the form of a cost-minimization linear programming model(Sorghasaurus) is used to assess the financial and economic logistics costs for supplying a...

  15. Investigating the Use of Ion Exchange Resins for Processing Biodiesel Feedstocks

    E-Print Network [OSTI]

    Jamal, Yousuf 1973-

    2012-11-27T23:59:59.000Z

    Ion exchange resins, commonly used in water treatment, demonstrate promise for the production of biodiesel from biomass feedstocks. The goal of this presented PhD research is to investigate novel uses of ion exchange resins for processing biodiesel...

  16. Process for generation of hydrogen gas from various feedstocks using thermophilic bacteria

    DOE Patents [OSTI]

    Ooteghem, Suellen Van (Morgantown, WV)

    2005-09-13T23:59:59.000Z

    A method for producing hydrogen gas is provided comprising selecting a bacteria from the Order Thermotogales, subjecting the bacteria to a feedstock and to a suitable growth environment having an oxygen concentration below the oxygen concentration of water in equilibrium with air; and maintaining the environment at a predetermined pH and at a temperature of at least approximately 45.degree. C. for a time sufficient to allow the bacteria to metabolize the feedstock.

  17. Process for Generation of Hydrogen Gas from Various Feedstocks Using Thermophilic Bacteria

    SciTech Connect (OSTI)

    Ooteghem Van, Suellen

    2005-09-13T23:59:59.000Z

    A method for producing hydrogen gas is provided comprising selecting a bacteria from the Order Thermotogales, subjecting the bacteria to a feedstock and to a suitable growth environment having an oxygen concentration below the oxygen concentration of water in equilibrium with air; and maintaining the environment at a predetermined pH and at a temperature of at least approximately 45 degrees C. for a time sufficient to allow the bacteria to metabolize the feedstock.

  18. A Review on Biomass Densification Systems to Develop Uniform Feedstock Commodities for Bioenergy Application

    SciTech Connect (OSTI)

    Jaya Shankar Tumuluru; Christopher T. Wright; J. Richard Hess; Kevin L. Kenney

    2011-11-01T23:59:59.000Z

    Developing uniformly formatted, densified feedstock from lignocellulosic biomass is of interest to achieve consistent physical properties like size and shape, bulk and unit density, and durability, which significantly influence storage, transportation and handling characteristics, and, by extension, feedstock cost and quality. A variety of densification systems are considered for producing a uniform format feedstock commodity for bioenergy applications, including (a) baler, (b) pellet mill, (c) cuber, (d) screw extruder, (e) briquette press, (f) roller press, (g) tablet press, and (g) agglomerator. Each of these systems has varying impacts on feedstock chemical and physical properties, and energy consumption. This review discusses the suitability of these densification systems for biomass feedstocks and the impact these systems have on specific energy consumption and end product quality. For example, a briquette press is more flexible in terms of feedstock variables where higher moisture content and larger particles are acceptable for making good quality briquettes; or among different densification systems, a screw press consumes the most energy because it not only compresses but also shears and mixes the material. Pretreatment options like preheating, grinding, steam explosion, torrefaction, and ammonia fiber explosion (AFEX) can also help to reduce specific energy consumption during densification and improve binding characteristics. Binding behavior can also be improved by adding natural binders, such as proteins, or commercial binders, such as lignosulphonates. The quality of the densified biomass for both domestic and international markets is evaluated using PFI (United States Standard) or CEN (European Standard).

  19. Integration of Feedstock Assembly System and Cellulosic Ethanol Conversion Models to Analyze Bioenergy System Performance

    SciTech Connect (OSTI)

    Jared M. Abodeely; Douglas S. McCorkle; Kenneth M. Bryden; David J. Muth; Daniel Wendt; Kevin Kenney

    2010-09-01T23:59:59.000Z

    Research barriers continue to exist in all phases of the emerging cellulosic ethanol biorefining industry. These barriers include the identification and development of a sustainable and abundant biomass feedstock, the assembly of viable assembly systems formatting the feedstock and moving it from the field (e.g., the forest) to the biorefinery, and improving conversion technologies. Each of these phases of cellulosic ethanol production are fundamentally connected, but computational tools used to support and inform analysis within each phase remain largely disparate. This paper discusses the integration of a feedstock assembly system modeling toolkit and an Aspen Plus® conversion process model. Many important biomass feedstock characteristics, such as composition, moisture, particle size and distribution, ash content, etc. are impacted and most effectively managed within the assembly system, but generally come at an economic cost. This integration of the assembly system and the conversion process modeling tools will facilitate a seamless investigation of the assembly system conversion process interface. Through the integrated framework, the user can design the assembly system for a particular biorefinery by specifying location, feedstock, equipment, and unit operation specifications. The assembly system modeling toolkit then provides economic valuation, and detailed biomass feedstock composition and formatting information. This data is seamlessly and dynamically used to run the Aspen Plus® conversion process model. The model can then be used to investigate the design of systems for cellulosic ethanol production from field to final product.

  20. Value of Distributed Preprocessing of Biomass Feedstocks to a Bioenergy Industry

    SciTech Connect (OSTI)

    Christopher T Wright

    2006-07-01T23:59:59.000Z

    Biomass preprocessing is one of the primary operations in the feedstock assembly system and the front-end of a biorefinery. Its purpose is to chop, grind, or otherwise format the biomass into a suitable feedstock for conversion to ethanol and other bioproducts. Many variables such as equipment cost and efficiency, and feedstock moisture content, particle size, bulk density, compressibility, and flowability affect the location and implementation of this unit operation. Previous conceptual designs show this operation to be located at the front-end of the biorefinery. However, data are presented that show distributed preprocessing at the field-side or in a fixed preprocessing facility can provide significant cost benefits by producing a higher value feedstock with improved handling, transporting, and merchandising potential. In addition, data supporting the preferential deconstruction of feedstock materials due to their bio-composite structure identifies the potential for significant improvements in equipment efficiencies and compositional quality upgrades. Theses data are collected from full-scale low and high capacity hammermill grinders with various screen sizes. Multiple feedstock varieties with a range of moisture values were used in the preprocessing tests. The comparative values of the different grinding configurations, feedstock varieties, and moisture levels are assessed through post-grinding analysis of the different particle fractions separated with a medium-scale forage particle separator and a Rototap separator. The results show that distributed preprocessing produces a material that has bulk flowable properties and fractionation benefits that can improve the ease of transporting, handling and conveying the material to the biorefinery and improve the biochemical and thermochemical conversion processes.

  1. Feedstock Supply System Design and Economics for Conversion of Lignocellulosic Biomass to Hydrocarbon Fuels: Conversion Pathway: Biological Conversion of Sugars to Hydrocarbons The 2017 Design Case

    SciTech Connect (OSTI)

    Kevin Kenney; Kara G. Cafferty; Jacob J. Jacobson; Ian J Bonner; Garold L. Gresham; William A. Smith; David N. Thompson; Vicki S. Thompson; Jaya Shankar Tumuluru; Neal Yancey

    2013-09-01T23:59:59.000Z

    The U.S. Department of Energy promotes the production of a range of liquid fuels and fuel blendstocks from lignocellulosic biomass feedstocks by funding fundamental and applied research that advances the state of technology in biomass collection, conversion, and sustainability. As part of its involvement in this program, the Idaho National Laboratory (INL) investigates the feedstock logistics economics and sustainability of these fuels. Between 2000 and 2012, INL conducted a campaign to quantify the economics and sustainability of moving biomass from standing in the field or stand to the throat of the biomass conversion process. The goal of this program was to establish the current costs based on conventional equipment and processes, design improvements to the current system, and to mark annual improvements based on higher efficiencies or better designs. The 2012 programmatic target was to demonstrate a delivered biomass logistics cost of $35/dry ton. This goal was successfully achieved in 2012 by implementing field and process demonstration unit-scale data from harvest, collection, storage, preprocessing, handling, and transportation operations into INL’s biomass logistics model. Looking forward to 2017, the programmatic target is to supply biomass to the conversion facilities at a total cost of $80/dry ton and on specification with in-feed requirements. The goal of the 2017 Design Case is to enable expansion of biofuels production beyond highly productive resource areas by breaking the reliance of cost-competitive biofuel production on a single, abundant, low-cost feedstock. If this goal is not achieved, biofuel plants are destined to be small and/or clustered in select regions of the country that have a lock on low-cost feedstock. To put the 2017 cost target into perspective of past accomplishments of the cellulosic ethanol pathway, the $80 target encompasses total delivered feedstock cost, including both grower payment and logistics costs, while meeting all conversion in-feed quality targets. The 2012 $35 programmatic target included only logistics costs with a limited focus on biomass quality

  2. Thermal conversion of biomass to valuable fuels, chemical feedstocks and chemicals

    DOE Patents [OSTI]

    Peters, William A. (Lexington, MA); Howard, Jack B. (Winchester, MA); Modestino, Anthony J. (Hanson, MA); Vogel, Fredreric (Villigen PSI, CH); Steffin, Carsten R. (Herne, DE)

    2009-02-24T23:59:59.000Z

    A continuous process for the conversion of biomass to form a chemical feedstock is described. The biomass and an exogenous metal oxide, preferably calcium oxide, or metal oxide precursor are continuously fed into a reaction chamber that is operated at a temperature of at least 1400.degree. C. to form reaction products including metal carbide. The metal oxide or metal oxide precursor is capable of forming a hydrolizable metal carbide. The reaction products are quenched to a temperature of 800.degree. C. or less. The resulting metal carbide is separated from the reaction products or, alternatively, when quenched with water, hydolyzed to provide a recoverable hydrocarbon gas feedstock.

  3. An integrated bioconversion process for the production of L-lactic acid from starchy feedstocks

    SciTech Connect (OSTI)

    Tsai, S.P.; Moon, S.H.

    1997-07-01T23:59:59.000Z

    The potential market for lactic acid as the feedstock for biodegradable polymers, oxygenated chemicals, and specialty chemicals is significant. L-lactic acid is often the desired enantiomer for such applications. However, stereospecific lactobacilli do not metabolize starch efficiently. In this work, Argonne researchers have developed a process to convert starchy feedstocks into L-lactic acid. The processing steps include starch recovery, continuous liquefaction, and simultaneous saccharification and fermentation. Over 100 g/L of lactic acid was produced in less than 48 h. The optical purity of the product was greater than 95%. This process has potential economical advantages over the conventional process.

  4. The Effects of Trace Contaminants on Catalytic Processing of Biomass-Derived Feedstocks

    SciTech Connect (OSTI)

    Elliott, Douglas C.; Peterson, Keith L.; Muzatko, Danielle S.; Alderson, Eric V.; Hart, Todd R.; Neuenschwander, Gary G.

    2004-03-25T23:59:59.000Z

    Trace components in biomass feedstocks are potential catalyst poisons when catalytically processing these materials to value-added chemical products. Trace components include inorganic elements such as alkali metals and alkaline earths, phosphorus or sulfur, aluminum or silicon, chloride, or transition metals. Protein components in biomass feedstocks can lead to formation of peptide fractions (from hydrolysis) or ammonium ions (from more severe breakdown) both of which might interfere with catalysis. The effects of these components on catalytic hydrogenation processing has been studied in batch reactor processing tests

  5. The Promise and Challenge of Producing Biofuel Feedstocks: An Ecological Perspective (2010 JGI User Meeting)

    ScienceCinema (OSTI)

    DeLucia, Evan

    2011-04-26T23:59:59.000Z

    Evan DeLucia of the University of Illinois at Urbana-Champaign and the Energy Biosciences Institute talks about "The Promise and Challenge of Producing Biofuel Feedstocks: An Ecological Perspective" on March 25, 2010 at the 5th Annual DOE JGI User Meeting

  6. Competitiveness of Second Generation Biofuel Feedstocks: Role of Technology and Policy (2010 JGI User Meeting)

    SciTech Connect (OSTI)

    Khanna, Madhu

    2010-03-26T23:59:59.000Z

    Madhu Khanna from the University of Illinois at Urbana-Champaign and the Energy Biosciences Institute on "Competitiveness of Second Generation Biofuel Feedstocks: Role of Technology and Policy" on March 25, 2010 at the 5th Annual DOE JGI User Meeting

  7. Potential of Using Poultry Litter as a Feedstock for Energy Production Rangika Perera, Graduate Research Assistant

    E-Print Network [OSTI]

    Potential of Using Poultry Litter as a Feedstock for Energy Production Rangika Perera, Graduate................................................................................................... 9 5. Environmental and Social Issues of Energy Production using Poultry Litter ....................................... 10 5.1 Issues on the anaerobic digestion of poultry litter for energy production

  8. Agave: a biofuel feedstock for arid and semi-arid environments

    SciTech Connect (OSTI)

    Gross, Stephen; Martin, Jeffrey; Simpson, June; Wang, Zhong; Visel, Axel

    2011-05-31T23:59:59.000Z

    Efficient production of plant-based, lignocellulosic biofuels relies upon continued improvement of existing biofuel feedstock species, as well as the introduction of newfeedstocks capable of growing on marginal lands to avoid conflicts with existing food production and minimize use of water and nitrogen resources. To this end, specieswithin the plant genus Agave have recently been proposed as new biofuel feedstocks. Many Agave species are adapted to hot and arid environments generally unsuitable forfood production, yet have biomass productivity rates comparable to other second-generation biofuel feedstocks such as switchgrass and Miscanthus. Agavesachieve remarkable heat tolerance and water use efficiency in part through a Crassulacean Acid Metabolism (CAM) mode of photosynthesis, but the genes andregulatory pathways enabling CAM and thermotolerance in agaves remain poorly understood. We seek to accelerate the development of agave as a new biofuelfeedstock through genomic approaches using massively-parallel sequencing technologies. First, we plan to sequence the transcriptome of A. tequilana to provide adatabase of protein-coding genes to the agave research community. Second, we will compare transcriptome-wide gene expression of agaves under different environmentalconditions in order to understand genetic pathways controlling CAM, water use efficiency, and thermotolerance. Finally, we aim to compare the transcriptome of A.tequilana with that of other Agave species to gain further insight into molecular mechanisms underlying traits desirable for biofuel feedstocks. These genomicapproaches will provide sequence and gene expression information critical to the breeding and domestication of Agave species suitable for biofuel production.

  9. Engine Performance and Exhaust Emissions of a Diesel Engine From Various Biodiesel Feedstock 

    E-Print Network [OSTI]

    Santos, Bjorn Sanchez

    2011-02-22T23:59:59.000Z

    , vegetable oils, or recycled restaurant grease with alcohol and catalyst, is gaining popularity in recent years as a substitute for petroleum diesel. Ninety percent (90%) of U.S. biodiesel industry makes use of soybean oil as its feedstock. However, soybean...

  10. USING RESIDENT SMALL MAMMALS TO ASSESS THE HABITAT POTENTIAL OF EXPERIMENTAL BIOFUELS FEEDSTOCKS

    E-Print Network [OSTI]

    USING RESIDENT SMALL MAMMALS TO ASSESS THE HABITAT POTENTIAL OF EXPERIMENTAL BIOFUELS FEEDSTOCKS ...................................................................................................................35 CHAPTER 2: Comparing survival of deer mice across experimental biofuels plots in Eastern South ...................................................................................................................65 CHAPTER 3: Small mammal diversity across 4 experimental biofuels plots in Eastern South Dakota

  11. Competitiveness of Second Generation Biofuel Feedstocks: Role of Technology and Policy (2010 JGI User Meeting)

    ScienceCinema (OSTI)

    Khanna, Madhu

    2011-04-26T23:59:59.000Z

    Madhu Khanna from the University of Illinois at Urbana-Champaign and the Energy Biosciences Institute on "Competitiveness of Second Generation Biofuel Feedstocks: Role of Technology and Policy" on March 25, 2010 at the 5th Annual DOE JGI User Meeting

  12. Modeling and Optimization of Next Generation Feedstock Development for Chemical Process

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Modeling and Optimization of Next Generation Feedstock Development for Chemical Process Industry -Glutamic acid Anaerobic digestion mass Cellulose Biogas Bio oil Gasoline Diesel Butanol Dimethyl ether,Oil Polyol Biodiesel Glycerin Naphtha and Diesel Liquefaction / d h l Thermo chemical Protein Protein

  13. Feedstock Supply System Design and Economics for Conversion of Lignocellulosic Biomass to Hydrocarbon Fuels Conversion Pathway: Fast Pyrolysis and Hydrotreating Bio-Oil Pathway "The 2017 Design Case"

    SciTech Connect (OSTI)

    Kevin L. Kenney; Kara G. Cafferty; Jacob J. Jacobson; Ian J. Bonner; Garold L. Gresham; J. Richard Hess; William A. Smith; David N. Thompson; Vicki S. Thompson; Jaya Shankar Tumuluru; Neal Yancey

    2014-01-01T23:59:59.000Z

    The U.S. Department of Energy promotes the production of liquid fuels from lignocellulosic biomass feedstocks by funding fundamental and applied research that advances the state of technology in biomass sustainable supply, logistics, conversion, and overall system sustainability. As part of its involvement in this program, Idaho National Laboratory (INL) investigates the feedstock logistics economics and sustainability of these fuels. Between 2000 and 2012, INL quantified and the economics and sustainability of moving biomass from the field or stand to the throat of the conversion process using conventional equipment and processes. All previous work to 2012 was designed to improve the efficiency and decrease costs under conventional supply systems. The 2012 programmatic target was to demonstrate a biomass logistics cost of $55/dry Ton for woody biomass delivered to fast pyrolysis conversion facility. The goal was achieved by applying field and process demonstration unit-scale data from harvest, collection, storage, preprocessing, handling, and transportation operations into INL’s biomass logistics model.

  14. Bio-energy feedstock yields and their water quality benefits in Mississippi

    SciTech Connect (OSTI)

    Parajuli, Prem B.

    2011-08-10T23:59:59.000Z

    Cellulosic and agricultural bio-energy crops can, under careful management, be harvested as feedstock for bio-fuels production and provide environmental benefits. However, it is required to quantify their relative advantages in feedstock production and water quality. The primary objective of this research was to evaluate potential feedstock yield and water quality benefit scenarios of bioenergy crops: Miscanthus (Miscanthus-giganteus), Switchgrass (Panicum virgatum), Johnsongrass (Sorghum halepense), Alfalfa (Medicago sativa L.), Soybean {Glycine max (L.) Merr.}, and Corn (Lea mays) in the Upper Pearl River watershed (UPRW), Mississippi using a Soil and Water Assessment Tool (SWAT). The SWAT model was calibrated (January 1981 to December 1994) and validated (January 1995 to September 2008) using monthly measured stream flow data. The calibrated and validated model determined good to very good performance for stream flow prediction (R2 and E from 0.60 to 0.86). The RMSE values (from 14 m3 s-1 to 37 m3 s-1) were estimated at similar levels of errors during model calibration and validation. The long-term average annual potential feedstock yield as an alternative energy source was determined the greatest when growing Miscanthus grass (373,849 Mg) as followed by Alfalfa (206,077 Mg), Switchgrass (132,077 Mg), Johnsongrass (47,576 Mg), Soybean (37,814 Mg), and Corn (22,069 Mg) in the pastureland and cropland of the watershed. Model results determined that average annual sediment yield from the Miscanthus grass scenario determined the least (1.16 Mg/ha) and corn scenario the greatest (12.04 Mg/ha). The SWAT model simulated results suggested that growing Miscanthus grass in the UPRW would have the greatest potential feedstock yield and water quality benefits.

  15. Ecological sustainability of energy cane as a biofuel feedstock Assess the ecological sustainability of deploying energy cane on land previously used for

    E-Print Network [OSTI]

    DeLucia, Evan H.

    Ecological sustainability of energy cane as a biofuel feedstock Objective Assess the ecological to the ecological sustainability of the wide-scale deployment of biofuel feedstocks. Key among these issues are how replacing current land use with biofuel feedstocks will affect the fluxes of greenhouse gases (CO2, CH4, N20

  16. Hydrothermal Processing of Macroalgal Feedstocks in Continuous-Flow Reactors

    SciTech Connect (OSTI)

    Elliott, Douglas C.; Hart, Todd R.; Neuenschwander, Gary G.; Rotness, Leslie J.; Roesijadi, Guritno; Zacher, Alan H.; Magnuson, Jon K.

    2014-02-18T23:59:59.000Z

    Wet macroalgal slurries can be converted into a biocrude by hydrothermal liquefaction (HTL). High levels of carbon conversion to gravity-separable oil product were accomplished at relatively low temperature (350 ?C) in a pressurized (sub-critical liquid water) environment (20 MPa). As opposed to earlier work in batch reactors reported by others, direct oil recovery was achieved without the use of a solvent and biomass trace mineral components were removed by processing steps so that they did not cause processing difficulties. In addition, catalytic hydrothermal gasification was effectively applied for HTL byproduct water cleanup and fuel gas production from water soluble organics. As a result, high conversion of macroalgae to liquid and gas fuel products was found with low levels of organic contamination in byproduct water. Both process steps were accomplished in continuous-flow reactor systems such that design data for process scale-up was generated.

  17. MODEL BASED BIOMASS SYSTEM DESIGN OF FEEDSTOCK SUPPLY SYSTEMS FOR BIOENERGY PRODUCTION

    SciTech Connect (OSTI)

    David J. Muth, Jr.; Jacob J. Jacobson; Kenneth M. Bryden

    2013-08-01T23:59:59.000Z

    Engineering feedstock supply systems that deliver affordable, high-quality biomass remains a challenge for the emerging bioenergy industry. Cellulosic biomass is geographically distributed and has diverse physical and chemical properties. Because of this feedstock supply systems that deliver cellulosic biomass resources to biorefineries require integration of a broad set of engineered unit operations. These unit operations include harvest and collection, storage, preprocessing, and transportation processes. Design decisions for each feedstock supply system unit operation impact the engineering design and performance of the other system elements. These interdependencies are further complicated by spatial and temporal variances such as climate conditions and biomass characteristics. This paper develops an integrated model that couples a SQL-based data management engine and systems dynamics models to design and evaluate biomass feedstock supply systems. The integrated model, called the Biomass Logistics Model (BLM), includes a suite of databases that provide 1) engineering performance data for hundreds of equipment systems, 2) spatially explicit labor cost datasets, and 3) local tax and regulation data. The BLM analytic engine is built in the systems dynamics software package PowersimTM. The BLM is designed to work with thermochemical and biochemical based biofuel conversion platforms and accommodates a range of cellulosic biomass types (i.e., herbaceous residues, short- rotation woody and herbaceous energy crops, woody residues, algae, etc.). The BLM simulates the flow of biomass through the entire supply chain, tracking changes in feedstock characteristics (i.e., moisture content, dry matter, ash content, and dry bulk density) as influenced by the various operations in the supply chain. By accounting for all of the equipment that comes into contact with biomass from the point of harvest to the throat of the conversion facility and the change in characteristics, the BLM evaluates economic performance of the engineered system, as well as determining energy consumption and green house gas performance of the design. This paper presents a BLM case study delivering corn stover to produce cellulosic ethanol. The case study utilizes the BLM to model the performance of several feedstock supply system designs. The case study also explores the impact of temporal variations in climate conditions to test the sensitivity of the engineering designs. Results from the case study show that under certain conditions corn stover can be delivered to the cellulosic ethanol biorefinery for $35/dry ton.

  18. Process for the conversion of carbonaceous feedstocks to particulate carbon and methanol

    DOE Patents [OSTI]

    Steinberg, Meyer (Melville, NY); Grohse, Edward W. (Port Jefferson, NY)

    1995-01-01T23:59:59.000Z

    A process for the production of a pollutant-free particulate carbon (i.e., a substantially ash-, sulfur- and nitrogen-free carbon) from carbonaceous feedstocks. The basic process involves de-oxygenating one of the gas streams formed in a cyclic hydropyrolysis-methane pyrolysis process in order to improve conversion of the initial carbonaceous feedstock. De-oxygenation is effected by catalytically converting carbon monoxide, carbon dioxide, and hydrogen contained in one of the pyrolysis gas streams, preferably the latter, to a methanol co-product. There are thus produced two products whose use is known per se, viz., a substantially pollutant-free particulate carbon black and methanol. These products may be admixed in the form of a liquid slurry of carbon black in methanol.

  19. Process for the conversion of carbonaceous feedstocks to particulate carbon and methanol

    DOE Patents [OSTI]

    Steinberg, M.; Grohse, E.W.

    1995-06-27T23:59:59.000Z

    A process is described for the production of a pollutant-free particulate carbon (i.e., a substantially ash-, sulfur- and nitrogen-free carbon) from carbonaceous feedstocks. The basic process involves de-oxygenating one of the gas streams formed in a cyclic hydropyrolysis-methane pyrolysis process in order to improve conversion of the initial carbonaceous feedstock. De-oxygenation is effected by catalytically converting carbon monoxide, carbon dioxide, and hydrogen contained in one of the pyrolysis gas streams, preferably the latter, to a methanol co-product. There are thus produced two products whose use is known per se, viz., a substantially pollutant-free particulate carbon black and methanol. These products may be admixed in the form of a liquid slurry of carbon black in methanol. 3 figs.

  20. Novel Intergrated Process to Process to Produce Fuels from Coal and Other Carbonaceous Feedstocks

    SciTech Connect (OSTI)

    Andrew Lucero

    2009-03-25T23:59:59.000Z

    BioConversion Technology, LLC has developed a novel gasifier design that produces a clean, medium to high BTU synthesis gas that can be utilized for a variety of applications. The staged, indirectly heated design produces high quality synthesis gas without the need for costly pure oxygen. This design also allows for extreme flexibility with respect to feedstocks (including those with high moisture contents) in addition to high throughputs in a small gasifier footprint. A pilot scale testing project was proposed to assist BCT with commercializing the process. A prototype gasifier constructed by BCT was transported to WRI for installation and testing. After troubleshooting, the gasifier was successfully operated with both coal and biomass feedstocks. Instrument upgrades are recommended for further testing.

  1. Municipal Solid Waste (MSW) to Liquid Fuels Synthesis, Volume 1: Availability of Feedstock and Technology

    SciTech Connect (OSTI)

    Valkenburt, Corinne; Walton, Christie W.; Thompson, Becky L.; Gerber, Mark A.; Jones, Susanne B.; Stevens, Don J.

    2008-12-01T23:59:59.000Z

    This report investigated the potential of using municipal solid waste (MSW) to make synthesis gas (syngas) suitable for production of liquid fuels. Issues examined include: • MSW physical and chemical properties affecting its suitability as a gasifier feedstock and for liquid fuels synthesis • expected process scale required for favorable economics • the availability of MSW in quantities sufficient to meet process scale requirements • the state-of-the-art of MSW gasification technology.

  2. Review: Balancing Limiting Factors and Economic Drivers to Achieve Sustainable Midwestern US Agricultural Residue Feedstock Supplies

    SciTech Connect (OSTI)

    Wally W. Wilhelm; J. Richard Hess; Douglas L. Karlen; David J. Muth; Jane M. F. Johnson; John M. Baker; Hero T. Gollany; Jeff M. Novak; Diane E. Stott; Gary E. Varvel

    2010-10-01T23:59:59.000Z

    Advanced biofuels will be developed using cellulosic feedstock rather than grain or oilseed crops that can also be used for food and feed. To be sustainable, these new agronomic production systems must be economically viable without degrading soil resources. This review examines six agronomic factors that collectively define many of the limits and opportunities for harvesting crop residue for biofuel feedstock. These six “limiting factors” are discussed in relationship to economic drivers associated with harvesting corn (Zea mays L.) stover as a potential cellulosic feedstock. The limiting factors include soil organic carbon, wind and water erosion, plant nutrient balance, soil water and temperature dynamics, soil compaction, and off-site environmental impacts. Initial evaluations using the Revised Universal Soil Loss Equation 2.0 (RUSLE2) show that a single factor analysis based on simply meeting tolerable soil loss might indicate stover could be harvested sustainably, but the same analysis based on maintaining soil organic carbon shows the practice to be non-sustainable. Modifying agricultural management to include either annual or perennial cover crops is shown to meet both soil erosion and soil carbon requirements. The importance of achieving high yields and planning in a holistic manner at the landscape scale are also shown to be crucial for balancing limitations and drivers associated with renewable bioenergy production.

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

    SciTech Connect (OSTI)

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

    2009-01-01T23:59:59.000Z

    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.

  4. Improving biofuel feedstocks by modifying xylan biosynthesis (2013 DOE JGI Genomics of Energy and Environment 8th Annual User Meeting)

    SciTech Connect (OSTI)

    Lau, Jane [JBEI

    2013-03-01T23:59:59.000Z

    Jane Lau of the Joint BioEnergy Institute on "Improving biofuel feedstocks by modifying xylan biosynthesis" at the 8th Annual Genomics of Energy & Environment Meeting on March 28, 2013 in Walnut Creek, Calif.

  5. THE POTENTIAL OF FRESHWATER MACROALGAE AS A BIOFUELS FEEDSTOCK AND THE INFLUENCE OF NUTRIENT AVAILABILITY ON FRESHWATER MACROALGAL BIOMASS PRODUCTION

    E-Print Network [OSTI]

    Yun, Jin-Ho

    2014-12-31T23:59:59.000Z

    Extensive efforts have been made to evaluate the potential of microalgae as a biofuel feedstock during the past 4-5 decades. However, filamentous freshwater macroalgae have numerous characteristics that favor their potential use as an alternative...

  6. The usability of switchgrass, rice straw, and logging residue as feedstocks for power generation in East Texas

    E-Print Network [OSTI]

    Hong, Sung Wook

    2007-09-17T23:59:59.000Z

    , electricity and transport. The renewable energy strategies of the United States expect the bio- energy sector to be pre-eminent in the global market for secure, indigenous and renewable energy supplies in the next century and to play a vital role... The pros and cons of using biomass feedstock for energy purposes have been discussed in many United States and international studies. Here we present a literature review on environmental and economic issues in relation with biomass feedstock...

  7. Test Plan for Evaluating Hammer and Fixed Cutter Grinders Using Multiple Varieties and Moistures of Biomass Feedstock

    SciTech Connect (OSTI)

    Not listed

    2007-07-01T23:59:59.000Z

    Biomass preprocessing is a critical operation in the preparation of feedstock for the front-end of a cellulosic ethanol biorefinery. Its purpose is to chop, grind, or otherwise format the biomass material into a suitable feedstock for optimum conversion to ethanol and other bioproducts. Without this operation, the natural size, bulk density, and flowability characteristics of harvested biomass would decrease the capacities and efficiencies of feedstock assembly unit operations and biorefinery conversion processes to the degree that programmatic cost targets could not be met. The preprocessing unit operation produces a bulk flowable material that 1) improves handling and conveying efficiencies throughout the feedstock assembly system and biorefinery 2) increases biomass surface areas for improved pretreatment efficiencies, 3) reduces particle sizes for improved feedstock uniformity and density, and 4) fractionates structural components for improved compositional quality. The Idaho National Laboratory (INL) is tasked with defining the overall efficiency/effectiveness of current commercial hammer and fixed cutter grinding systems and other connecting systems such as harvest and collection, storage, transportation, and handling for a wide variety of feedstock types used in bioethanol or syngas production. This test plan details tasks and activities for two separate full-scale grinding tests: Material Characterization Test and Machine Characterization Test. For the Material Characterization Test, a small amount (~5-7 tons each) of several feedstock varieties will be ground. This test will define the fractionation characteristics of the grinder that affect the bulk density, particle size distribution, and quality of the size reduced biomass resulting from different separation screen sizes. A specific screen size will be selected based on the characteristics of the ground material. The Machine Characterization Test will then use this selected screen to grind several 30-ton batches of different feedstock varieties and moistures. This test will focus on identifying the performance parameters of the grinding system specific to the feed, fractionation, and screen separation components and their affect on machine capacity and efficiency.

  8. International Feedstock

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment of EnergyIndustry15Among Statesfor a Smart1.2.1.5 International

  9. Challenges and Opportunities for Wet-Waste FeedstocksÂ…Resource Assessment

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T, Inc.'sEnergyTexas1. Feedstock & Production Challenge #

  10. Algae as a Feedstock for Transportation Fuels. The Future of Biofuels?

    SciTech Connect (OSTI)

    McGill, Ralph [Sentech, Inc., Fuels, Engines, and Emissions Consulting, Knoxville, TN (United States)

    2008-05-15T23:59:59.000Z

    Events in world energy markets over the past several years have prompted many new technical developments as well as political support for alternative transportation fuels, especially those that are renewable. We have seen dramatic rises in the demand for and production of fuel ethanol from sugar cane and corn and biodiesel from vegetable oils. The quantities of these fuels being used continue to rise dramatically, and their use is helping to create a political climate for doing even more. But, the quantities are still far too small to stem the tide of rising crude prices worldwide. In fact, the use of some traditional crops (corn, sugar, soy, etc.) in making fuels instead of food is apparently beginning to impact the cost of food worldwide. Thus, there is considerable interest in developing alternative biofuel feedstocks for use in making fuels -- feedstocks that are not used in the food industries. Of course, we know that there is a lot of work in developing cellulosic-based ethanol that would be made from woody biomass. Process development is the critical path for this option, and the breakthrough in reducing the cost of the process has been elusive thus far. Making biodiesel from vegetable oils is a well-developed and inexpensive process, but to date there have been few reasonable alternatives for making biodiesel, although advanced processes such as gasification of biomass remain an option.

  11. Interactions of woody biofuel feedstock production systems with water resources: Considerations for sustainability.

    SciTech Connect (OSTI)

    Trettin, Carl,C.; Amatya, Devendra; Coleman, Mark.

    2008-07-01T23:59:59.000Z

    Abstract. Water resources are important for the production of woody biofuel feedstocks. It is necessary to ensure that production systems do not adversely affect the quantity or quality of surface and ground water. The effects of woody biomass plantations on water resources are largely dependent on the prior land use and the management regime. Experience from both irrigated and non-irrigated systems has demonstrated that woody biofuel production systems do not impair water quality. Water quality actually improves from conversion of idle or degraded agricultural lands to woody biomass plantations. Site water balance may be altered by cultivation of woody biomass plantations relative to agricultural use, due to increases in evapostranspiration (ET) and storage. Incorporation of woody biomass production plantations within the landscape provides an opportunity to improve the quality of runoff water and soil conservation. Given the centrality of water resources to the sustainability of ecosystem services and other values derived, the experience with woody biofuels feedstock production systems is positive. Keywords. Short rotation woody crop, forest hydrology, water quality, hardwood plantation.

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

    SciTech Connect (OSTI)

    Derr, Dan

    2013-12-30T23:59:59.000Z

    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.

  13. High-solids enrichment of thermophilic microbial communities and their enzymes on bioenergy feedstocks

    SciTech Connect (OSTI)

    Reddy, A. P.; Allgaier, M.; Singer, S.W.; Hazen, T.C.; Simmons, B.A.; Hugenholtz, P.; VanderGheynst, J.S.

    2011-04-01T23:59:59.000Z

    Thermophilic microbial communities that are active in a high-solids environment offer great potential for the discovery of industrially relevant enzymes that efficiently deconstruct bioenergy feedstocks. In this study, finished green waste compost was used as an inoculum source to enrich microbial communities and associated enzymes that hydrolyze cellulose and hemicellulose during thermophilic high-solids fermentation of the bioenergy feedstocks switchgrass and corn stover. Methods involving the disruption of enzyme and plant cell wall polysaccharide interactions were developed to recover xylanase and endoglucanase activity from deconstructed solids. Xylanase and endoglucanase activity increased by more than a factor of 5, upon four successive enrichments on switchgrass. Overall, the changes for switchgrass were more pronounced than for corn stover; solids reduction between the first and second enrichments increased by a factor of four for switchgrass while solids reduction remained relatively constant for corn stover. Amplicon pyrosequencing analysis of small-subunit ribosomal RNA genes recovered from enriched samples indicated rapid changes in the microbial communities between the first and second enrichment with the simplified communities achieved by the third enrichment. The results demonstrate a successful approach for enrichment of unique microbial communities and enzymes active in a thermophilic high-solids environment.

  14. Advanced Systems for Preprocessing and Characterizing Coal-Biomass Mixtures as Next-Generation Fuels and Feedstocks

    SciTech Connect (OSTI)

    Karmis, Michael; Luttrell, Gerald; Ripepi, Nino; Bratton, Robert; Dohm, Erich

    2014-06-30T23:59:59.000Z

    The research activities presented in this report are intended to address the most critical technical challenges pertaining to coal-biomass briquette feedstocks. Several detailed investigations were conducted using a variety of coal and biomass feedstocks on the topics of (1) coal-biomass briquette production and characterization, (2) gasification of coal-biomass mixtures and briquettes, (3) combustion of coal-biomass mixtures and briquettes, and (4) conceptual engineering design and economic feasibility of briquette production. The briquette production studies indicate that strong and durable co-firing feedstocks can be produced by co-briquetting coal and biomass resources commonly available in the United States. It is demonstrated that binderless coal-biomass briquettes produced at optimized conditions exhibit very high strength and durability, which indicates that such briquettes would remain competent in the presence of forces encountered in handling, storage and transportation. The gasification studies conducted demonstrate that coal-biomass mixtures and briquettes are exceptional gasification feedstocks, particularly with regard to the synergistic effects realized during devolatilization of the blended materials. The mixture combustion studies indicate that coal-biomass mixtures are exceptional combustion feedstocks, while the briquette combustion study indicates that the use of blended briquettes reduces NO{sub x}, CO{sub 2}, and CO emissions, and requires the least amount of changes in the operating conditions of an existing coal-fired power plant. Similar results were obtained for the physical durability of the pilot-scale briquettes compared to the bench-scale tests. Finally, the conceptual engineering and feasibility analysis study for a commercial-scale briquetting production facility provides preliminary flowsheet and cost simulations to evaluate the various feedstocks, equipment selection and operating parameters.

  15. Identification and genetic characterization of maize cell wall variation for improved biorefinery feedstock characteristics

    SciTech Connect (OSTI)

    Pauly, Markus [UC Berkeley] [UC Berkeley; Hake, Sarah [USDA Albany] [USDA Albany

    2013-10-31T23:59:59.000Z

    The objectives of this program are to 1) characterize novel maize mutants with altered cell walls for enhanced biorefinery characteristics and 2) find quantitative trait loci (QTLs) related to biorefinery characteristics by taking advantage of the genetic diversity of maize. As a result a novel non-transgenic maize plant (cal1) has been identified, whose stover (leaves and stalk) contain more glucan in their walls leading to a higher saccharification yield, when subjected to a standard enzymatic digestion cocktail. Stacking this trait with altered lignin mutants yielded evene higher saccharification yields. Cal-1 mutants do not show a loss of kernel and or biomass yield when grown in the field . Hence, cal1 biomass provides an excellent feedstock for the biofuel industry.

  16. Application of Buckmaster Electrolyte Ion Leakage Test to Woody Biofuel Feedstocks

    SciTech Connect (OSTI)

    Broderick, Thomas F [Forest Concepts, LLC; Dooley, James H [Forest Concepts, LLC

    2014-08-28T23:59:59.000Z

    In an earlier ASABE paper, Buckmaster reported that ion conductivity of biomass leachate in aqueous solution was directly correlated with activity access to plant nutrients within the biomass materials for subsequent biological or chemical processing. The Buckmaster test involves placing a sample of the particles in a beaker of constant-temperature deionized water and monitoring the change in electrical conductivity over time. We adapted the Buckmaster method to a range of woody biomass and other cellulosic bioenergy feedstocks. Our experimental results suggest differences of electrolyte leakage between differently processed woody biomass particles may be an indicator of their utility for conversion in bioenergy processes. This simple assay appears to be particularly useful to compare different biomass comminution techniques and particle sizes for biochemical preprocessing.

  17. Engineering, Nutrient Removal, and Feedstock Conversion Evaluations of Four Corn Stover Harvest Scenarios

    SciTech Connect (OSTI)

    Reed L. Hoskinson; Douglas L. Karlen; Stuart J. Birrell; Corey W. Radtke; W.W. Wilhelm

    2007-02-01T23:59:59.000Z

    Crop residue has been identified as a near-term source of biomass for renewable fuel, heat, power, chemicals and other bio-materials. Replicated plots were established in a corn (Zea mays L.) field near Ames, IA to evaluate four harvest scenarios (low cut, high-cut top, high-cut bottom, and normal cut). A prototype one-pass harvest system was used to collect the residue samples. High-cut top and high-cut bottom samples were obtained from the same plots in two separate operations. Chemical composition, dilute acid pretreatment response, ethanol conversion efficiency and gasification parameters for each scenario were determined. Mean grain yield (10.1 Mg ha-1 dry weight) was representative of the area. The four harvest scenarios removed 6.7, 4.9, 1.7, and 5.1 Mg ha-1 of dry matter. Expressed as harvest indices (HI) the values were 0.60 for low cut, 0.66 for normal cut, and 0.61 for the total high-cut (top + bottom) scenarios, which are probably realistic for machine harvest and current hybrids. The macro-nutrient replacement value for the normal harvest scenario under our conditions was $57.36 ha-1 or $11.27 Mg-1. Harvesting stalk bottoms increased the water content, the risk of combine damage, the transportation costs, and left insufficient soil cover, while also producing a problematic feedstock. Harvesting stover at current combine height (~40 cm) would be best for farmers and ethanol producers because of better harvest speed and efficiency as well as the quality of the ethanol feedstock.

  18. Switchgrass as an Alternate Feedstock for Power Generation: Integrated Environmental, Energy, and Economic Life-Cycle Analysis

    E-Print Network [OSTI]

    McCarl, Bruce A.

    virgatum) as a replacement for coal in power generation. To examine the effects of such a substitution1 Switchgrass as an Alternate Feedstock for Power Generation: Integrated Environmental, Energy into modules. The greenhouse gas (GHG) mitigation during co-firing of switchgrass with coal is found

  19. Current biofuel feedstock crops such as corn lead to large environmental losses of N through nitrate leaching and N2

    E-Print Network [OSTI]

    DeLucia, Evan H.

    219 Current biofuel feedstock crops such as corn lead to large environmental losses of N through biofuel crops established on a rich Mollisol soil. Reduced Nitrogen Losses after Conversion of Row Crop Agriculture to Perennial Biofuel Crops Candice M. Smith, Mark B. david,* Corey A. Mitchell, Michael d. Masters

  20. RECYCLING OF LATEX BASED PAINT AS POLYMER FEEDSTOCK MATERIALS Jennifer K. Lynch, Thomas J. Nosker, Robert Hamill, Richard L. Lehman

    E-Print Network [OSTI]

    RECYCLING OF LATEX BASED PAINT AS POLYMER FEEDSTOCK MATERIALS Jennifer K. Lynch, Thomas J. Nosker investigates the recycling of used latex paints into non-paint products. Waste latex paint was collected, dried container cost for either recycling or hazardous waste disposal, is very high for the retailer. Much

  1. This new system will allow researchers to much more rapidly screen large numbers of samples and identify the most promising biomass feedstocks for higher efficiency and lower cost bio-

    E-Print Network [OSTI]

    of samples and identify the most promising biomass feedstocks for higher efficiency and lower cost bio- fuels conversion processes. NREL will be screening thousands of variants of different biomass feedstocks to link to develop the next generation of low-cost, easily convert- ible biomass feedstocks. To identify superior

  2. LANDSCAPE MANAGEMENT FOR SUSTAINABLE SUPPLIES OF BIOENERGY FEEDSTOCK AND ENHANCED SOIL QUALITY

    SciTech Connect (OSTI)

    Douglas L. Karlen; David J. Muth, Jr.

    2012-09-01T23:59:59.000Z

    Agriculture can simultaneously address global food, feed, fiber, and energy challenges provided our soil, water, and air resources are not compromised in doing so. As we embark on the 19th Triennial Conference of the International Soil and Tillage Research Organization (ISTRO), I am pleased to proclaim that our members are well poised to lead these endeavors because of our comprehensive understanding of soil, water, agricultural and bio-systems engineering processes. The concept of landscape management, as an approach for integrating multiple bioenergy feedstock sources, including biomass residuals, into current crop production systems, is used as the focal point to show how these ever-increasing global challenges can be met in a sustainable manner. Starting with the 2005 Billion Ton Study (BTS) goals, research and technology transfer activities leading to the 2011 U.S. Department of Energy (DOE) Revised Billion Ton Study (BT2) and development of a residue management tool to guide sustainable crop residue harvest will be reviewed. Multi-location USDA-Agricultural Research Service (ARS) Renewable Energy Assessment Project (REAP) team research and on-going partnerships between public and private sector groups will be shared to show the development of landscape management strategies that can simultaneously address the multiple factors that must be balanced to meet the global challenges. Effective landscape management strategies recognize the importance of nature’s diversity and strive to emulate those conditions to sustain multiple critical ecosystem services. To illustrate those services, the soil quality impact of harvesting crop residues are presented to show how careful, comprehensive monitoring of soil, water and air resources must be an integral part of sustainable bioenergy feedstock production systems. Preliminary analyses suggest that to sustain soil resources within the U.S. Corn Belt, corn (Zea mays L.) stover should not be harvested if average grain yields are less than 11 Mg ha-1 (175 bu ac-1) unless more intensive landscape management practices are implemented. Furthermore, although non-irrigated corn grain yields east and west of the primary Corn Belt may not consistently achieve the 11 Mg ha-1 yield levels, corn can still be part of an overall landscape approach for sustainable feedstock production. Another option for producers with consistently high yields (> 12.6 Mg ha-1 or 200 bu ac-1) that may enable them to sustainably harvest even more stover is to decrease their tillage intensity which will reduce fuel use, preserve rhizosphere carbon, and/or help maintain soil structure and soil quality benefits often attributed to no-till production systems. In conclusion, I challenge all ISTRO scientists to critically ask if your research is contributing to improved soil and crop management strategies that effectively address the complexity associated with sustainable food, feed, fiber and fuel production throughout the world.

  3. Preozonation of primary-treated municipal wastewater for reuse in biofuel feedstock generation

    SciTech Connect (OSTI)

    Mondala, Andro H.; Hernandez, Rafael; French, William Todd; Estevez, L. Antonio; Meckes, Mark; Trillo, Marlene; Hall, Jacqueline

    2011-12-01T23:59:59.000Z

    The results of a laboratory scale investigation on ozone pretreatment of primary-treated municipal wastewater for potential reuse in fermentation processes for the production of biofuels and bio-based feedstock chemicals were presented. Semi-batch preozonation with 3.0% (w/w) ozone at 1 L min -1 resulted into a considerable inactivation of the indigenous heterotrophic bacteria in the wastewater with less than 0.0002% comprising the ozone-resistant fraction of the microbial population. The disinfection process was modeled using first-order inactivation kinetics with a rate constant of 4.39 Ă?Â?Ă?Â? 10 -3 s -1. Chemical oxygen demand (COD) levels were reduced by 30% in 1-h experiments. COD depletion was also modeled using a pseudo-first-order kinetics at a rate constant of 9.50 Ă?Â?Ă?Â? 10 -5 s -1. Biological oxygen demand (BOD 5) values were reduced by 60% up to 20 min of ozonation followed by a plateau and some slight increases attributed to partial oxidation of recalcitrant materials. Ozone also had no substantial effect on the concentration of ammonium and phosphate ions, which are essential for microbial growth and metabolism. Preliminary tests indicated that oleaginous microorganisms could be cultivated in the ozonated wastewater, resulting in relatively higher cell densities than in raw wastewater and comparable results with autoclave-sterilized wastewater. This process could potentially produce significant quantities of oil for biofuel production from municipal wastewater streams.

  4. Basic refractory and slag management for petcoke carbon feedstock in gasifiers

    SciTech Connect (OSTI)

    Kwong, Kyei-Sing; Bennett, James P; Nakano, Jinichiro

    2014-04-22T23:59:59.000Z

    The disclosure provides methods of operating a slagging gasifier using a carbon feedstock having a relatively high V.sub.2O.sub.5 to SiO.sub.2 ratio, such as petcoke. The disclosure generates a combined chemical composition in the feed mixture having less than 25 wt. % SiO.sub.2, greater than 20 wt. % V.sub.2O.sub.5, and greater than 20 wt. % CaO. The method takes advantage of a novel recognition that increased levels of SiO.sub.2 tend to decrease dissolution of the V.sub.2O.sub.3 which forms under the reducing conditions of the gasifier, and utilizes the CaO additive to establish a chemical phase equilibria comprised of lower melting compounds. The method further provides for control based on the presence of Al.sub.2O.sub.3 and FeO, and provides for a total combined chemical composition of greater than about 5 wt. % MgO for use with refractory linings comprised of MgO based refractory brick.

  5. EIS-0002: Allocation of Petroleum Feedstock, Baltimore Gas & Electric Co., Sollers Point SNG Plant, Sollers Point, Baltimore County, MD

    Broader source: Energy.gov [DOE]

    The Economic Regulatory Administration (ERA) developed this EIS to evaluate the social, economic and environmental impacts which may occur within the Baltimore Gas and Electric Company (BG&E) service area as a result of the ERA' s proposed decision to allocate up to 2,186,000 barrels per year of naphtha feedstock to BG&E to operate BG&E's existing synthetic natural gas facility located on Sollers Point in Baltimore County, Maryland.

  6. Environment assessment: allocation of petroleum feedstock, Algonquin SNG Inc. , Freetown SNG Plant, Bristol County, MA. [Effects of 100, 78, 49% allocations

    SciTech Connect (OSTI)

    Not Available

    1980-01-01T23:59:59.000Z

    The proposed administrative action to deny, grant or modify the Algonquin SNG, Inc. (Algonquin) petition for an adjusted allocation of naphtha feedstock may significantly affect the ehuman environment. The volume of feedstock requested is 4,425,571 barrels per year of naphtha to be used in Algonquin's Freetown, MA synthetic natural gas (SNG) plant. Environmental impacts of 100, 78, and 49% allocations were evaluated.

  7. Algae as a Feedstock for Biofuels: An Assessment of the State of Technology and Opportunities. Final Report

    SciTech Connect (OSTI)

    Sikes, K.; McGill, R. [Sentech, Inc. (United States); Van Walwijk, M. [Independent Consultant (France)

    2011-05-15T23:59:59.000Z

    The pursuit of a stable, economically-sound, and environmentally-friendly source of transportation fuel has led to extensive research and development (R&D) efforts focused on the conversion of various feedstocks into biofuels. Some feedstocks, such as sugar cane, corn and woody biomass, are targeted because their structures can be broken down into sugars and fermented into alcohols. Other feedstocks, such as vegetable oils, are appealing because they contain considerable amounts of lipids, which can be extracted and converted into biodiesel or other fuels. While significant R&D and commercial strides have been made with each of these feedstocks, technical and market barriers (e.g., cost, scalability, infrastructure requirements, and 'food vs. fuel' debates) currently limit the penetration of the resultant biofuels into the mainstream. Because of algae's ability to potentially address several of these barriers, its use as a feedstock for biofuels has led to much excitement and initiative within the energy industry. Algae are highly diverse, singleor multi-cellular organisms comprised of mostly lipids, protein, and carbohydrates, which may be used to produce a wide variety of biofuels. Algae offer many competitive advantages over other feedstocks, including: 1) Higher potential lipid content than terrestrial plants, sometimes exceeding 50% of the cell's dry biomass (U.S. DOE, May '10; Tornabene et al., 1983) 2) Rapid growth rates that are 20-30 times higher than terrestrial crops (McDill, 2009) and, in some cases, capable of doubling in size with 10 hours 3) Diverse number of species that can collectively thrive in a wide range of environments throughout the world, presenting an overall high overall tolerance for climate, sunlight, nutrient levels, etc. 4) Daily harvesting potential instead of seasonal harvest periods associated with terrestrial crops 5) Potential to redirect CO2 from industry operations to algal cultivation facilities to be used in an algal biofuel cycle before it is released into the atmosphere 6) Ability to be cultivated on land that that is unsuitable for agriculture, so it does not directly compete with farmland Given microalgae's high lipid content and rapid growth rates, maximum oil yields of 20,000--115,000 L/ha/yr (2,140-13,360 gal/ac/yr) have been estimated. xiv 7) Ability to thrive in seawater, wastewater, or other non-potable sources, so it does not directly compete with fresh water resources. In fact, wastewater can provide algae with some essential nutrients, such as nitrogen, so algae may contribute to cleaning up wastewater streams. 8) Non-toxic and biodegradable 9) Co-products that may present high value in other markets, including nutriceuticals and cosmetics Given microalgae's high lipid content and rapid growth rate, maximum oil yields of 20,000 -- 115,000 liters per hectare per year (L/ha/yr) (2,140 -- 13,360 gallons per acre per year) (Baldos, 2009; Wijffels, 2008) have been estimated, which is considerably higher than any other competing feedstock. Although algae species collectively present many strong advantages (although one specific species is unlikely to possess all of the advantages listed), a sustainable algal biofuel industry is at least one or two decades away from maturity, and no commercial scale operations currently exist. Several barriers must first be overcome before algal biofuels can compete with traditional petroleum-based fuels. Production chains with net energy output need to be identified, and continued R&D is needed to reduce the cost in all segments of the production spectrum (e.g., harvesting, dewatering, extracting of oil). Further research to identify strains with high production rates and/or oil yields may also improve competitiveness within the market. Initiatives to seamlessly integrate algal biofuels into the existing transportation infrastructure may increase their convenience level.

  8. Improved Method for Isolation of Microbial RNA from Biofuel Feedstock for Metatranscriptomics

    SciTech Connect (OSTI)

    Piao, Hailan; Markillie, Lye Meng; Culley, David E.; Mackie, Roderick I.; Hess, Matthias

    2013-03-28T23:59:59.000Z

    Metatranscriptomics—gene express profiling via DNA sequencing—is a powerful tool to identify genes that are ac- tively expressed and might contribute to the phenotype of individual organisms or the phenome (the sum of several phenotypes) of a microbial community. Furthermore, metatranscriptome studies can result in extensive catalogues of genes that encode for enzymes of industrial relevance. In both cases, a major challenge for generating a high quality metatranscriptome is the extreme lability of RNA and its susceptibility to ubiquitous RNAses. The microbial commu- nity (the microbiome) of the cow rumen efficiently degrades lignocelullosic biomass, generates significant amounts of methane, a greenhouse gas twenty times more potent than carbon dioxide, and is of general importance for the physio- logical wellbeing of the host animal. Metatranscriptomes of the rumen microbiome from animals kept under different conditions and from various types of rumen-incubated biomass can be expected to provide new insights into these highly interesting phenotypes and subsequently provide the framework for an enhanced understanding of this socio- economically important ecosystem. The ability to isolate large amounts of intact RNA will significantly facilitate accu- rate transcript annotation and expression profiling. Here we report a method that combines mechanical disruption with chemical homogenization of the sample material and consistently yields 1 mg of intact RNA from 1 g of rumen-in- cubated biofuel feedstock. The yield of total RNA obtained with our method exceeds the RNA yield achieved with pre- viously reported isolation techniques, which renders RNA isolated with the method presented here as an ideal starting material for metatranscriptomic analyses and other molecular biology applications that require significant amounts of starting material.

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

    SciTech Connect (OSTI)

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

    1983-06-01T23:59:59.000Z

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

  10. Parametric Gasification of Oak and Pine Feedstocks Using the TCPDU and Slipstream Water-Gas Shift Catalysis

    SciTech Connect (OSTI)

    Hrdlicka, J.; Feik, C.; Carpenter, D.; Pomeroy, M.

    2008-12-01T23:59:59.000Z

    With oak and pine feedstocks, the Gasification of Biomass to Hydrogen project maximizes hydrogen production using the Full Stream Reformer during water-gas shift fixed-bed reactor testing. Results indicate that higher steam-to-biomass ratio and higher thermal cracker temperature yield higher hydrogen concentration. NREL's techno-economic models and analyses indicate hydrogen production from biomass may be viable at an estimated cost of $1.77/kg (current) and $1.47/kg (advanced in 2015). To verify these estimates, NREL used the Thermochemical Process Development Unit (TCPDU), an integrated system of unit operations that investigates biomass thermochemical conversion to gaseous and liquid fuels and chemicals.

  11. Development of a Low Input and sustainable Switchgrass Feedstock Production System Utilizing Beneficial Bacterial Endophytes

    SciTech Connect (OSTI)

    Mei, Chuansheng [IALR; Nowak, Jerzy [VPISU; Seiler, John [VPISU

    2014-10-24T23:59:59.000Z

    Switchgrass represents a promising feedstock crop for US energy sustainability. However, its broad utilization for bioenergy requires improvements of biomass yields and stress tolerance. In this DOE funded project, we have been working on harnessing beneficial bacterial endophytes to enhance switchgrass performance and to develop a low input feedstock production system for marginal lands that do not compete with the production of food crops. We have demonstrated that one of most promising plant growth-promoting bacterial endophytes, Burkholderia phytofirmans strain PsJN, is able to colonize roots and significantly promote growth of switchgrass cv. Alamo under in vitro, growth chamber, greenhouse, as well as field conditions. Furthermore, PsJN bacterization improved growth and development of switchgrass seedlings, significantly stimulated plant root and shoot growth, and tiller number in the field, and enhanced biomass accumulation on both poor (p<0.001) and rich (p<0.05) soils, with more effective stimulation of plant growth in low fertility soil. Plant physiology measurements showed that PsJN inoculated Alamo had consistently lower transpiration, lower stomatal conductance, and higher water use efficiency in greenhouse conditions. These physiological changes may significantly contribute to the recorded growth enhancement. PsJN inoculation rapidly results in an increase in photosynthetic rates which contributes to the advanced growth and development. Some evidence suggests that this initial growth advantage decreases with time when resources are not limited such as in greenhouse studies. Additionally, better drought resistance and drought hardening were observed in PsJN inoculated switchgrass. Using the DOE-funded switchgrass EST microarray, in a collaboration with the Genomics Core Facility at the Noble Foundation, we have determined gene expression profile changes in both responsive switchgrass cv. Alamo and non-responsive cv. Cave-in-Rock (CR) following PsJN bacterization. With the MapMan software to analyze microarray data, the number of up- and down-regulated probes was calculated. The number of up-regulated probes in Alamo was 26, 14, 14, and 12% at 0.5, 2, 4 and 8 days after inoculation (DAI) with PsJN, respectively while the corresponding number in CR was 24, 22, 21, and 19%, respectively. In both cultivars, the largest number of up-regulated probes occurred at 0.5 DAI. Noticeable differences throughout the timeframe between Alamo and CR were that the number was dramatically decreased to half (12%) in Alamo but remained high in CR (approximately 20%). The number of down regulated genes demonstrated different trends in Alamo and CR. Alamo had an increasing trend from 9% at 0.5 DAI to 11, 17, and 28% at 2, 4, and 8 DAI, respectively. However, CR had 13% at 0.5 and 2 DAI, and declined to 10% at 4 and 8 DAI. With the aid of MapMan and PageMan, we mapped the response of the ID probes to the observed major gene regulatory network and major biosynthetic pathway changes associated with the beneficial bacterial endophyte infection, colonization, and early growth promotion process. We found significant differences in gene expression patterns between responsive and non-responsive cultivars in many pathways, including redox state regulation, signaling, proteolysis, transcription factors, as well as hormone (SA and JA in particular)-associated pathways. Form microarray data, a total of 50 key genes have been verified using qPCR. Ten of these genes were chosen for further functional study via either overexpression and/or RNAi knockout technologies. These genes were calmodulin-related calcium sensor protein (CAM), glutathione S-transferase (GST), histidine-containing phosphotransfer protein (H-221), 3 different zinc finger proteins (ZF-371, ZF131 and ZF242), EF hand transcription factor (EF-622), peroxidase, cellulose synthase catalytic submit A2 (CESA2), and Aux/IAA family. A total of 8 overexpression and 5 RNAi transgenic plants have been regenerated, and their gene expression levels determined using qPCR. Consequently

  12. Biomass Feedstocks for Renewable Fuel Production: A review of the impacts of feedstock and pretreatment on the yield and product distribution of fast pyrolysis bio-oils and vapors

    SciTech Connect (OSTI)

    Daniel Carpenter; Stefan Czernik; Whitney Jablonski; Tyler L. Westover

    2014-02-01T23:59:59.000Z

    Renewable transportation fuels from biomass have the potential to substantially reduce greenhouse gas emissions and diversify global fuel supplies. Thermal conversion by fast pyrolysis converts up to 75% of the starting plant material (and its energy content) to a bio-oil intermediate suitable for upgrading to motor fuel. Woody biomass, by far the most widely-used and researched material, is generally preferred in thermochemical processes due to its low ash content and high quality bio-oil produced. However, the availability and cost of biomass resources, e.g. forest residues, agricultural residues, or dedicated energy crops, vary greatly by region and will be key determinates in the overall economic feasibility of a pyrolysis-to-fuel process. Formulation or blending of various feedstocks, combined with thermal and/or chemical pretreatment, could facilitate a consistent, high-volume, lower-cost biomass supply to an emerging biofuels industry. However, the impact of biomass type and pretreatment conditions on bio-oil yield and quality, and the potential process implications, are not well understood. This literature review summarizes the current state of knowledge regarding the effect of feedstock and pretreatments on the yield, product distribution, and upgradability of bio-oil.

  13. A NEW CLASS MESOPOROUS ALUMINOPHOSPHATES AS POTENTIAL CATALYSTS IN THE UPGRADING PETROLEUM FEEDSTOCKS

    SciTech Connect (OSTI)

    Conrad Ingram; Mark Mitchell

    2005-08-31T23:59:59.000Z

    A comprehensive investigation was conducted towards the synthesis and catalytic evaluation of high surface areas, uniform pore size, mesoporous aluminophosphates (AlPO{sub 4}) as potential catalysts for the upgrading of heavy petroleum feedstock, such as heavy crudes and petroleum residuum. The influence of several synthesis variables (including, the nature of the reactants, chemical composition of reaction mixtures, time and temperature) on the synthesis and physicochemical characteristics of the resulting products was explored. Phosphoric acid and three different aluminum sources, namely, aluminum hydroxide, aluminum isopropoxide and psuedobohemite alumina, were used as the inorganic precursors. Cetyltrimethylammonium chloride (C{sub 16}TACl) surfactant was used as charge compensating cation and structure directing agent in the surfactant-micellar-mediated synthesis pathway employed. Synthesis were conducted from reaction mixtures within the following typical molar composition range: xAl{sub 2}O{sub 3}:P{sub 2}O{sub 5}:yC{sub 16}TMACl: zTHMAOH: wH{sub 2}O, where x = 0.29-2.34, y = 0.24-0.98, z = 0.34-1.95, w = 86-700. Selected materials were evaluated for the conversion of isopropylbenzene (cumene) in order to understand the nature of any acid sites created. The synthesis products obtained depended strongly on the molar composition of the synthesis mixture. A lamellar (layered) phase was favored by synthesis mixtures comprised of low Al/P ratios (<0.33), low TMAOH content, high C{sub 16}TACl concentrations and high synthesis temperature (110 C). Formation of the desired hexagonal (tubular) phase was favored by higher Al/P ratios and TMAOH content, pH range between 8-10, low C{sub 16}TACl concentration and ambient temperature. The aluminum source had significant influence on the products obtained. With aluminum hydroxide (A1(OH){sub 3}) as the hydroxide source, the resulting hexagonal phase in the ''as-synthesized'' form demonstrated well defined ordered mesoporous structure for synthesis mixtures of Al/P ratios in the range of 0.47-1.25, above which increasingly disordered products were observed. The products were however unstable to calcination in air above 400 C to remove the organic template, under which structural collapsed was observed. Products formed using pseudoboehmite alumina (catapal B), were more thermally stable than those formed with aluminum isopropoxide, though all products experienced some degree of structural collapsed on calcination and yielded micro- or micro-mesoporous materials ranging from low (<500 m{sup 2}/g) to high surface areas (>500 m{sup 2}/g) and pore sizes ranging from microporous (< 1.5 nm) in some products to mesoporous (up to 3.6 nm) in other. Improvement in thermal stability was not observed when Mg and Co or bridging organic functional groups were incorporated with the mesoporous framework. The products showed negligible activity for the conversion of cumene at 300 C. Further research is necessary to investigate alternative synthesis strategies to strengthen and improve the thermal stabilities of these aluminophosphates.

  14. FEEDSTOCK-FLEXIBLE REFORMER SYSTEM (FFRS) FOR SOLID OXIDE FUEL CELL (SOFC)- QUALITY SYNGAS

    SciTech Connect (OSTI)

    Kelly Jezierski; Andrew Tadd; Johannes Schwank; Roland Kibler; David McLean; Mahesh Samineni; Ryan Smith; Sameer Parvathikar; Joe Mayne; Tom Westrich; Jerry Mader; F. Michael Faubert

    2010-07-30T23:59:59.000Z

    The U.S. Department of Energy National Energy Technology Laboratory funded this research collaboration effort between NextEnergy and the University of Michigan, who successfully designed, built, and tested a reformer system, which produced highquality syngas for use in SOFC and other applications, and a novel reactor system, which allowed for facile illumination of photocatalysts. Carbon and raw biomass gasification, sulfur tolerance of non-Platinum Group Metals (PGM) based (Ni/CeZrO2) reforming catalysts, photocatalysis reactions based on TiO2, and mild pyrolysis of biomass in ionic liquids (ILs) were investigated at low and medium temperatures (primarily 450 to 850 C) in an attempt to retain some structural value of the starting biomass. Despite a wide range of processes and feedstock composition, a literature survey showed that, gasifier products had narrow variation in composition, a restriction used to develop operating schemes for syngas cleanup. Three distinct reaction conditions were investigated: equilibrium, autothermal reforming of hydrocarbons, and the addition of O2 and steam to match the final (C/H/O) composition. Initial results showed rapid and significant deactivation of Ni/CeZrO2 catalysts upon introduction of thiophene, but both stable and unstable performance in the presence of sulfur were obtained. The key linkage appeared to be the hydrodesulfurization activity of the Ni reforming catalysts. For feed stoichiometries where high H2 production was thermodynamically favored, stable, albeit lower, H2 and CO production were obtained; but lower thermodynamic H2 concentrations resulted in continued catalyst deactivation and eventual poisoning. High H2 levels resulted in thiophene converting to H2S and S surface desorption, leading to stable performance; low H2 levels resulted in unconverted S and loss in H2 and CO production, as well as loss in thiophene conversion. Bimetallic catalysts did not outperform Ni-only catalysts, and small Ni particles were found to have lower activities under S-free conditions, but did show less effect of S on performance, in this study. Imidazolium-based ILs, choline chloride compounds and low-melting eutectics of metal nitrates were evaluated, and it was found that, ILs have some capacity to dissolve cellulose and show thermal stability to temperatures where pyrolysis begins, have no vapor pressure, (simplifying product recoveries), and can dissolve ionic metal salts, allowing for the potential of catalytic reactions on breakdown intermediates. Clear evidence of photoactive commercial TiO2 was obtained, but in-house synthesis of photoactive TiO2 proved difficult, as did fixed-bed gasification, primarily due to the challenge of removing the condensable products from the reaction zone quickly enough to prevent additional reaction. Further investigation into additional non-PGM catalysts and ILs is recommended as a follow-up to this work.

  15. Uniform-Format Solid Feedstock Supply System: A Commodity-Scale Design to Produce an Infrastructure-Compatible Bulk Solid from Lignocellulosic Biomass -- Executive Summary

    SciTech Connect (OSTI)

    J. Richard Hess; Christopher T. Wright; Kevin L. Kenney; Erin M. Searcy

    2009-04-01T23:59:59.000Z

    This report, Uniform-Format Solid Feedstock Supply System: A Commodity-Scale Design to Produce an Infrastructure-Compatible Bulk Solid from Lignocellulosic Biomass, prepared by Idaho National Laboratory (INL), acknowledges the need and provides supportive designs for an evolutionary progression from present day conventional bale-based supply systems to a uniform-format, bulk solid supply system that transitions incrementally as the industry launches and matures. These designs couple to and build from current state of technology and address science and engineering constraints that have been identified by rigorous sensitivity analyses as having the greatest impact on feedstock supply system efficiencies and costs.

  16. future science group 5ISSN 1759-726910.4155/BFS.12.76 2013 Future Science Ltd Special FocuS: advanced FeedStockS For advanced bioFuelS

    E-Print Network [OSTI]

    S: advanced FeedStockS For advanced bioFuelS An overview of lignocellulosic biomass feedstock harvest, processing and supply for biofuel production editorial Biofuels (2013) 4(1), 5­8 "The questions here petroleum consumption with biofuels by 2030 [1­3]. This goal implies that the demand for cellulosic feed

  17. Reduction on synthesis gas costs by decrease of steam/carbon and oxygen/carbon ratios in the feedstock

    SciTech Connect (OSTI)

    Basini, L.; Piovesan, L. [Snamprogetti S.p.A. Research Labs., Milano (Italy)] [Snamprogetti S.p.A. Research Labs., Milano (Italy)

    1998-01-01T23:59:59.000Z

    The costs for syngas production at low steam/carbon and oxygen/carbon ratios have been analyzed for simplified process schemes of the main syngas production technologies (steam-CO{sub 2} reforming, autothermal reforming, and combined reforming) and different synthesis gas compositions. The broad analysis arises from experimental indication on the possibility of preventing carbon formation at low steam/carbon and oxygen/carbon ratios in the feedstock by choosing an appropriate catalyst or by introducing small amounts of sulfur compounds in the reactant feed. The analysis is limited to the synthesis gas production step and does not include its downstream processes. The results indicate that technologies at low steam/carbon and oxygen/carbon ratios would have a significant positive impact on synthesis gas costs.

  18. Development of sustainable harvest strategies for cellulose-based biofuels: The effect of intensity and season of harvest on cellulosic feedstock and

    E-Print Network [OSTI]

    and Wildlife Foundation, "Budweiser Renewable Energy and Wildlife Conservation Prize," South Dakota Game, Fish) and by state and federal agencies. This project will examine how feedstock harvest will affect game bird, and Parks Federal Aid in Wildlife Restoration, and South Dakota State University Agricultural Experiment

  19. Field-to-Fuel Performance Testing of Various Biomass Feedstocks: Production and Catalytic Upgrading of Bio-Oil to Refinery Blendstocks (Presentation)

    SciTech Connect (OSTI)

    Carpenter, D.; Westover, T.; Howe, D.; Evans, R.; French, R.; Kutnyakov, I.

    2014-09-01T23:59:59.000Z

    Large-scale, cost-competitive deployment of thermochemical technologies to replace petroleum oil with domestic biofuels will require inclusion of high volumes of low-cost, diverse biomass types into the supply chain. However, a comprehensive understanding of the impacts of feedstock thermo-physical and chemical variability, particularly inorganic matter (ash), on the yield and product distribution

  20. Chemical Processing in High-Pressure Aqueous Environments. 9. Process Development for Catalytic Gasification of Algae Feedstocks

    SciTech Connect (OSTI)

    Elliott, Douglas C.; Hart, Todd R.; Neuenschwander, Gary G.; Rotness, Leslie J.; Olarte, Mariefel V.; Zacher, Alan H.

    2012-07-26T23:59:59.000Z

    Through the use of a metal catalyst, gasification of wet algae slurries can be accomplished with high levels of carbon conversion to gas at relatively low temperature (350 C). In a pressurized-water environment (20 MPa), near-total conversion of the organic structure of the algae to gases has been achieved in the presence of a supported ruthenium metal catalyst. The process is essentially steam reforming, as there is no added oxidizer or reagent other than water. In addition, the gas produced is a medium-heating value gas due to the synthesis of high levels of methane, as dictated by thermodynamic equilibrium. As opposed to earlier work, biomass trace components were removed by processing steps so that they did not cause processing difficulties in the fixed catalyst bed tubular reactor system. As a result, the algae feedstocks, even those with high ash contents, were much more reliably processed. High conversions were obtained even with high slurry concentrations. Consistent catalyst operation in these short-term tests suggested good stability and minimal poisoning effects. High methane content in the product gas was noted with significant carbon dioxide captured in the aqueous byproduct in combination with alkali constituents and the ammonia byproduct derived from proteins in the algae. High conversion of algae to gas products was found with low levels of byproduct water contamination and low to moderate loss of carbon in the mineral separation step.

  1. Utilization of high-carbohydrate food wastes as the feedstock for degradable plastics

    SciTech Connect (OSTI)

    Tsai, S.P.; Coleman, R.D.; Tsai, TenLin S.; Bonsignore, P.V.

    1989-01-01T23:59:59.000Z

    Wastestreams from food processing industries have become an economic burden as well as a serious environmental problem. In the United States, billions of pounds of potato processed each year is typically discarded or sold as cattle feed at $3-6/ton. For large food processing plants, removal of more than 1 million gallons of waste/day/plant is required. As a potential solution to this economic and environmental problem, Argonne National Laboratory is developing technology that (1) bioconverts existing food processing wastestream into lactic acid, and (2) utilizes lactic acid for making environmentally safe, degradable plastics. Although the initial substrate for Argonne's process development is potato waste, the process will be applied to many other high-carbohydrate food wastes. Argonne has developed a process to bioconvert greater than 90% of the fermentable starch in solid potato waste to glucose. Lactic acid is produced from glucose via fermentation and subsequently recovered/purified for plastic synthesis. A continuous lactic acid fermentation and recovery process has been designed. Batch fermentation data showed good cell growth and excellent yields (greater than 95%) of lactic acid production from the hydrolyzed potato waste. Three product recovery processes (electrodialysis, liquid-liquid extraction, and esterification) are being evaluated. Plastics containing lactic acid can be designed to have various mechanical properties and degradation rates. Argonne is developing lactic acid plastics that have some novel features. These environmentally-safe, degradable plastics have many attractive applications such as composting bags and agriculture mulch films. Other potential applications of lactic acid polymers include programmable pesticide and fertilizer delivery systems.

  2. Evaluation of the potential for using old-field vegetation as an energy feedstock: Biomass yield, chemical composition, environmental concerns, and economics

    SciTech Connect (OSTI)

    Johnston, J.W. Jr.

    1990-07-01T23:59:59.000Z

    The major focus of current research on production of biomass for use as energy feedstock involves selection of species and genotypes best suited for specific regions of the United States and development of crop management techniques that maximize biomass productivity while minimizing environmental impacts and economic costs. The two experimental sites, and abandoned soybean field (AS) and an abandoned pasture (AP) were studied. At the AS site, the effects of two harvest frequencies (1 or 2 harvests annually), two nitrogen fertilizer treatments (1 or 2 harvests annually), two nitrogen fertilizer treatments (0 or 87 kg{center dot}ha{sup {minus}1}{center dot}yr{sup {minus}1}), and two phosphorous fertilizer treatments (0 or 111 kg{center dot}ha{sup {minus}1}{center dot}yr{sup {minus}1}) were determined. At the AP site, the effects of two harvest treatments (1 or 2 harvests annually), two fertilizer treatments (56:56:135 kg of N:P:K{center dot}ha{sup {minus}1}{center dot}yr{sup {minus}1}), and two lime treatments (0 or 4600 kg{center dot}ha{sup {minus}1}{center dot}yr{sup {minus}1}) were determined. At both sites, treatments were arranged in a randomized complete block 2 {times} 2 {times} 2 factorial experiment. The results of this research indicated that old-field vegetation is: (1) sufficiently productive to provide significant quantities of energy feedstock; (2) chemically suitable as an energy feedstock; (3) environmentally benign with respect to impacts related to soil erosion and nutrient depletion; (4) relatively unresponsive to fertilizer and lime inputs; and (5) economically competitive with other biomass energy feedstock candidates. 38 refs., 8 figs., 68 tabs.

  3. Degradation of cellulosic biomass and its subsequent utilization for the production of chemical feedstocks. Progress report, March 1-August 31, 1980

    SciTech Connect (OSTI)

    Wang, D. I.C.

    1980-09-01T23:59:59.000Z

    Progress is reported in this coordinated research program to effect the microbiological degradation of cellulosic biomass by anaerobic microorganisms possessing cellulolytic enzymes. Three main areas of research are discussed: increasing enzyme levels through genetics, mutations, and genetic manipulation; the direct conversion of cellulosic biomass to liquid fuel (ethanol); and the production of chemical feedstocks from biomass (acrylic acid, acetone/butanol, and acetic acid). (DMC)

  4. HOUSING GUARANTEE Apply Online

    E-Print Network [OSTI]

    Mease, Kenneth D.

    THE UCI HOUSING GUARANTEE Apply Online 1 Log in to your MyAdmission account via the tab of Admission fee. 3 Complete the Online Housing Application and pay the $20 non-refundable fee. Freshmen apply for the residence halls. Transfer students apply for Arroyo Vista theme houses and on-campus apartments. Students 25

  5. Sugar Monomer and Oligomer Solubility 179 Applied Biochemistry and Biotechnology Vol. 105108, 2003

    E-Print Network [OSTI]

    California at Riverside, University of

    - ties of sugars common to many biomass feedstocks in the temperature range of 25­30°C. Then we reviewed

  6. Precision wood particle feedstocks

    DOE Patents [OSTI]

    Dooley, James H; Lanning, David N

    2013-07-30T23:59:59.000Z

    Wood particles having fibers aligned in a grain, wherein: the wood particles are characterized by a length dimension (L) aligned substantially parallel to the grain, a width dimension (W) normal to L and aligned cross grain, and a height dimension (H) normal to W and L; the L.times.H dimensions define two side surfaces characterized by substantially intact longitudinally arrayed fibers; the W.times.H dimensions define two cross-grain end surfaces characterized individually as aligned either normal to the grain or oblique to the grain; the L.times.W dimensions define two substantially parallel top and bottom surfaces; and, a majority of the W.times.H surfaces in the mixture of wood particles have end checking.

  7. Oil Sands Feedstocks

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

    for the Clean Fuels Market to Utilize Alberta Bitumen % Upgrading Upstream Upgrading Refinery Upgrading T r a n s p o r t a t i o n Synthetic Crude T Wise Purvin & Gertz June 2005...

  8. Biomass -Feedstock User Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergyandapproximately 10 wt%inandWBS 1.2.3.3 Biomass -

  9. USDA Feedstocks and Biofuels

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and BatteryUS-EU-Japan Working Group onPHEVChief Economist

  10. Thermochemical Feedstock Interface

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic|Industrial Sector,Department of Energy (DOE)Department1AOffice

  11. Advanced Feedstock Preprocessing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAccelerated agingDepartmentDevelopment and1 | Bioenergy

  12. Advanced Feedstock Supply System

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAccelerated agingDepartmentDevelopment and1 | BioenergyAdvanced

  13. Streamlining Bioenergy Feedstock Engineering

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol

  14. Regional Algal Feedstock Testbed

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18,new2004_v1.3_5.0.zipFlorida4 U.S.Department WBS: 1.3.5.111 March

  15. Applied Computer Science

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

    Science and Innovation Computing CCS Division CCS-7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable...

  16. Apply early! Limited enrollment.

    E-Print Network [OSTI]

    volcano. Experience the culture and history of Hawaii, and the impact of human activitiesApply early! Limited enrollment. Environmental Science in the Hawaiian Islands Observe, research

  17. Selecting and Applying Interfacings

    E-Print Network [OSTI]

    2006-05-01T23:59:59.000Z

    Selecting and using interfacing correctly is an important component of garment construction. The various types of interfacing are described and methods of applying them are discussed in detail....

  18. National Geo-Database for Biofuel Simulations and Regional Analysis of Biorefinery Siting Based on Cellulosic Feedstock Grown on Marginal Lands

    SciTech Connect (OSTI)

    Izaurralde, Roberto C.; Zhang, Xuesong; Sahajpal, Ritvik; Manowitz, David H.

    2012-04-01T23:59:59.000Z

    The goal of this project undertaken by GLBRC (Great Lakes Bioenergy Research Center) Area 4 (Sustainability) modelers is to develop a national capability to model feedstock supply, ethanol production, and biogeochemical impacts of cellulosic biofuels. The results of this project contribute to sustainability goals of the GLBRC; i.e. to contribute to developing a sustainable bioenergy economy: one that is profitable to farmers and refiners, acceptable to society, and environmentally sound. A sustainable bioenergy economy will also contribute, in a fundamental way, to meeting national objectives on energy security and climate mitigation. The specific objectives of this study are to: (1) develop a spatially explicit national geodatabase for conducting biofuel simulation studies and (4) locate possible sites for the establishment of cellulosic ethanol biorefineries. To address the first objective, we developed SENGBEM (Spatially Explicit National Geodatabase for Biofuel and Environmental Modeling), a 60-m resolution geodatabase of the conterminous USA containing data on: (1) climate, (2) soils, (3) topography, (4) hydrography, (5) land cover/ land use (LCLU), and (6) ancillary data (e.g., road networks, federal and state lands, national and state parks, etc.). A unique feature of SENGBEM is its 2008-2010 crop rotation data, a crucially important component for simulating productivity and biogeochemical cycles as well as land-use changes associated with biofuel cropping. ARRA support for this project and to the PNNL Joint Global Change Research Institute enabled us to create an advanced computing infrastructure to execute millions of simulations, conduct post-processing calculations, store input and output data, and visualize results. These computing resources included two components installed at the Research Data Center of the University of Maryland. The first resource was 'deltac': an 8-core Linux server, dedicated to county-level and state-level simulations and PostgreSQL database hosting. The second resource was the DOE-JGCRI 'Evergreen' cluster, capable of executing millions of simulations in relatively short periods. ARRA funding also supported a PhD student from UMD who worked on creating the geodatabases and executing some of the simulations in this study. Using a physically based classification of marginal lands, we simulated production of cellulosic feedstocks from perennial mixtures grown on these lands in the US Midwest. Marginal lands in the western states of the US Midwest appear to have significant potential to supply feedstocks to a cellulosic biofuel industry. Similar results were obtained with simulations of N-fertilized perennial mixtures. A detailed spatial analysis allowed for the identification of possible locations for the establishment of 34 cellulosic ethanol biorefineries with an annual production capacity of 5.6 billion gallons. In summary, we have reported on the development of a spatially explicit national geodatabase to conduct biofuel simulation studies and provided simulation results on the potential of perennial cropping systems to serve as feedstocks for the production of cellulosic ethanol. To accomplish this, we have employed sophisticated spatial analysis methods in combination with the process-based biogeochemical model EPIC. The results of this study will be submitted to the USDOE Bioenergy Knowledge Discovery Framework as a way to contribute to the development of a sustainable bioenergy industry. This work provided the opportunity to test the hypothesis that marginal lands can serve as sources of cellulosic feedstocks and thus contribute to avoid potential conflicts between bioenergy and food production systems. This work, we believe, opens the door for further analysis on the characteristics of cellulosic feedstocks as major contributors to the development of a sustainable bioenergy economy.

  19. Biomass as Feedstock for a Bioenergy and Bioproducts Industry: The Technical Feasability of a Billion-Ton Annual Supply

    SciTech Connect (OSTI)

    Perlack, R.D.

    2005-12-15T23:59:59.000Z

    The U.S. Department of Energy (DOE) and the U.S. Department of Agriculture (USDA) are both strongly committed to expanding the role of biomass as an energy source. In particular, they support biomass fuels and products as a way to reduce the need for oil and gas imports; to support the growth of agriculture, forestry, and rural economies; and to foster major new domestic industries--biorefineries--making a variety of fuels, chemicals, and other products. As part of this effort, the Biomass R&D Technical Advisory Committee, a panel established by the Congress to guide the future direction of federally funded biomass R&D, envisioned a 30 percent replacement of the current U.S. petroleum consumption with biofuels by 2030. Biomass--all plant and plant-derived materials including animal manure, not just starch, sugar, oil crops already used for food and energy--has great potential to provide renewable energy for America's future. Biomass recently surpassed hydropower as the largest domestic source of renewable energy and currently provides over 3 percent of the total energy consumption in the United States. In addition to the many benefits common to renewable energy, biomass is particularly attractive because it is the only current renewable source of liquid transportation fuel. This, of course, makes it invaluable in reducing oil imports--one of our most pressing energy needs. A key question, however, is how large a role could biomass play in responding to the nation's energy demands. Assuming that economic and financial policies and advances in conversion technologies make biomass fuels and products more economically viable, could the biorefinery industry be large enough to have a significant impact on energy supply and oil imports? Any and all contributions are certainly needed, but would the biomass potential be sufficiently large to justify the necessary capital replacements in the fuels and automobile sectors? The purpose of this report is to determine whether the land resources of the United States are capable of producing a sustainable supply of biomass sufficient to displace 30 percent or more of the country's present petroleum consumption--the goal set by the Advisory Committee in their vision for biomass technologies. Accomplishing this goal would require approximately 1 billion dry tons of biomass feedstock per year.

  20. INTRODUCTION APPLIED GEOPHYSICS

    E-Print Network [OSTI]

    Merriam, James

    GEOL 384.3 INTRODUCTION TO APPLIED GEOPHYSICS OUTLINE INTRODUCTION TO APPLIED GEOPHYSICS GEOL 384 unknowns; the ones we don't know we don't know. And if one looks throughout the history of geophysics he didn't really say geophysics. He said, " ... our country and other free countries ...". But I am

  1. Essays in applied microeconomics

    E-Print Network [OSTI]

    Aron-Dine, Aviva

    2012-01-01T23:59:59.000Z

    This dissertation consists of three chapters on topics in applied microeconomics. In the first chapter. I investigate whether voters are more likely to support additional spending on local public services when they perceive ...

  2. Engineering and Applied

    E-Print Network [OSTI]

    Stowell, Michael

    > Computer Science > Electrical, Computer, and Energy Engineering > Mechanical Engineering 11, Computational Science and Engineering, Energy Systems and Environmental Sustainability, Materials ScienceCollege of Engineering and Applied Science Contact Robert H. Davis, Engineering Dean 303

  3. Applying for Research Awards

    E-Print Network [OSTI]

    ... 53.22 KB APPLYING FOR RESEARCH AWARDS The Eastern Bird Banding Association seeks applicants for its annual $500 research awards in aid of research using banding techniques or bird banding data. ...

  4. Low Cost Chemical Feedstocks Using an Improved and Energy Efficient Natural Gas Liquid (NGL) Removal Process, Final Technical Report

    SciTech Connect (OSTI)

    Meyer, Howard, S.; Lu, Yingzhong

    2012-08-10T23:59:59.000Z

    The overall objective of this project is to develop a new low-cost and energy efficient Natural Gas Liquid (NGL) recovery process - through a combination of theoretical, bench-scale and pilot-scale testing - so that it could be offered to the natural gas industry for commercialization. The new process, known as the IROA process, is based on U.S. patent No. 6,553,784, which if commercialized, has the potential of achieving substantial energy savings compared to currently used cryogenic technology. When successfully developed, this technology will benefit the petrochemical industry, which uses NGL as feedstocks, and will also benefit other chemical industries that utilize gas-liquid separation and distillation under similar operating conditions. Specific goals and objectives of the overall program include: (i) collecting relevant physical property and Vapor Liquid Equilibrium (VLE) data for the design and evaluation of the new technology, (ii) solving critical R&D issues including the identification of suitable dehydration and NGL absorbing solvents, inhibiting corrosion, and specifying proper packing structure and materials, (iii) designing, construction and operation of bench and pilot-scale units to verify design performance, (iv) computer simulation of the process using commercial software simulation platforms such as Aspen-Plus and HYSYS, and (v) preparation of a commercialization plan and identification of industrial partners that are interested in utilizing the new technology. NGL is a collective term for C2+ hydrocarbons present in the natural gas. Historically, the commercial value of the separated NGL components has been greater than the thermal value of these liquids in the gas. The revenue derived from extracting NGLs is crucial to ensuring the overall profitability of the domestic natural gas production industry and therefore of ensuring a secure and reliable supply in the 48 contiguous states. However, rising natural gas prices have dramatically reduced the economic incentive to extract NGLs from domestically produced natural gas. Successful gas processors will be those who adopt technologies that are less energy intensive, have lower capital and operating costs and offer the flexibility to tailor the plant performance to maximize product revenue as market conditions change, while maintaining overall system efficiency. Presently, cryogenic turbo-expander technology is the dominant NGL recovery process and it is used throughout the world. This process is known to be highly energy intensive, as substantial energy is required to recompress the processed gas back to pipeline pressure. The purpose of this project is to develop a new NGL separation process that is flexible in terms of ethane rejection and can reduce energy consumption by 20-30% from current levels, particularly for ethane recoveries of less than 70%. The new process integrates the dehydration of the raw natural gas stream and the removal of NGLs in such a way that heat recovery is maximized and pressure losses are minimized so that high-value equipment such as the compressor, turbo-expander, and a separate dehydration unit are not required. GTI completed a techno-economic evaluation of the new process based on an Aspen-HYSYS simulation model. The evaluation incorporated purchased equipment cost estimates obtained from equipment suppliers and two different commercial software packages; namely, Aspen-Icarus and Preliminary Design and Quoting Service (PDQ$). For a 100 MMscfd gas processing plant, the annualized capital cost for the new technology was found to be about 10% lower than that of conventional technology for C2 recovery above 70% and about 40% lower than that of conventional technology for C2 recovery below 50%. It was also found that at around 40-50% C2 recovery (which is economically justifiable at the current natural gas prices), the energy cost to recover NGL using the new technology is about 50% of that of conventional cryogenic technology.

  5. Information Science, Computing, Applied Math

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

    Science, Computing, Applied Math science-innovationassetsimagesicon-science.jpg Information Science, Computing, Applied Math National security depends on science and...

  6. SUSTAINABILITY WHO CAN APPLY

    E-Print Network [OSTI]

    FUNDED BY CALL FOR SUSTAINABILITY RESEARCH STUDENT WHO CAN APPLY Undergraduate and graduate Participate in the Global Change & Sustainability Center's Research Symposium; attend workshops with faculty or publish in the U's student-run sustainability publication to be released in May 2014. Are you conducting

  7. Applied Microbiology and Biotechnology

    E-Print Network [OSTI]

    Alvarez-Cohen, Lisa

    1 23 Applied Microbiology and Biotechnology ISSN 0175-7598 Appl Microbiol Biotechnol DOI 10.1007/s-Cohen #12;1 23 Your article is protected by copyright and all rights are held exclusively by Springer in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version

  8. Effect of crop residue harvest on long-term crop yield, soil erosion, and carbon balance: tradeoffs for a sustainable bioenergy feedstock

    SciTech Connect (OSTI)

    Gregg, Jay S.; Izaurralde, Roberto C.

    2010-08-26T23:59:59.000Z

    Agricultural residues are a potential feedstock for bioenergy production, if residue harvest can be done sustainably. The relationship between crop residue harvest, soil erosion, crop yield and carbon balance was modeled with the Erosion Productivity Impact Calculator/ Environment Policy Integrated Climate (EPIC) using a factorial design. Four crop rotations (winter wheat [Triticum aestivum (L.)] – sunflower [Helianthus annuus]; spring wheat [Triticum aestivum (L.)] – canola [Brassica napus]; corn [Zea mays L.] – soybean [Glycine max (L.) Merr.]; and cotton [Gossypium hirsutum] – peanut [Arachis hypogaea]) were simulated at four US locations each, under different topographies (0-10% slope), and management practices [crop residue removal rates (0-75%), conservation practices (no till, contour cropping, strip cropping, terracing)].

  9. The Effects of Nitrogen Fertilization on Bioenergy Sorghum Yield and Quality

    E-Print Network [OSTI]

    Zilahi-Sebess, Szilvia

    2012-07-16T23:59:59.000Z

    ................................................................................................... 77 Economics of fertilizing biomass feedstocks ................................................. 77 Biomass feedstock yield response to applied nitrogen: An example ........... 79 CONCLUSIONS...

  10. Applied ALARA techniques

    SciTech Connect (OSTI)

    Waggoner, L.O.

    1998-02-05T23:59:59.000Z

    The presentation focuses on some of the time-proven and new technologies being used to accomplish radiological work. These techniques can be applied at nuclear facilities to reduce radiation doses and protect the environment. The last reactor plants and processing facilities were shutdown and Hanford was given a new mission to put the facilities in a safe condition, decontaminate, and prepare them for decommissioning. The skills that were necessary to operate these facilities were different than the skills needed today to clean up Hanford. Workers were not familiar with many of the tools, equipment, and materials needed to accomplish:the new mission, which includes clean up of contaminated areas in and around all the facilities, recovery of reactor fuel from spent fuel pools, and the removal of millions of gallons of highly radioactive waste from 177 underground tanks. In addition, this work has to be done with a reduced number of workers and a smaller budget. At Hanford, facilities contain a myriad of radioactive isotopes that are 2048 located inside plant systems, underground tanks, and the soil. As cleanup work at Hanford began, it became obvious early that in order to get workers to apply ALARA and use hew tools and equipment to accomplish the radiological work it was necessary to plan the work in advance and get radiological control and/or ALARA committee personnel involved early in the planning process. Emphasis was placed on applying,ALARA techniques to reduce dose, limit contamination spread and minimize the amount of radioactive waste generated. Progress on the cleanup has,b6en steady and Hanford workers have learned to use different types of engineered controls and ALARA techniques to perform radiological work. The purpose of this presentation is to share the lessons learned on how Hanford is accomplishing radiological work.

  11. School of Applied Technology School of Applied Technology

    E-Print Network [OSTI]

    Heller, Barbara

    School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean and Academic Director, Information Technology and Management Programs: C. Robert Carlson Director of Operations

  12. School of Applied Technology School of Applied Technology

    E-Print Network [OSTI]

    Heller, Barbara

    School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean Technology and Management Programs: Mazin Safar Director, Marketing & Development: Scott Pfeiffer Director

  13. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    problems 20 2.3.1 Classes 20 2.3.2 Types of classi cation problems 20 2.3.3 Learning and test sets 21 2Applied inductive learning Louis Wehenkel University of Li`ege Faculty of Applied Sciences Course;#12;APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li#12;ege

  14. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    .3.2 Types of classification problems 20 2.3.3 Learning and test sets 21 2.3.4 Decision or classificationApplied inductive learning Louis Wehenkel University of Liâ??ege Faculty of Applied Sciences Courseâ??e'' #12; #12; APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li

  15. Journal of Applied Ecology 2004

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2004 41, 922­933 © 2004 British Ecological Society Blackwell Publishing-scale, Sacramento River, succession, vegetation Journal of Applied Ecology (2004) 41, 922­933 Introduction More than@ucsc.edu). #12;923 Riparian forest restoration © 2004 British Ecological Society, Journal of Applied Ecology, 41

  16. Journal of Applied Ecology 2002

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2002 39, 960­970 © 2002 British Ecological Society Blackwell Science- tion, succession. Journal of Applied Ecology (2002) 39, 960­970 Introduction Efforts to reclaim@ucsc.edu). #12;961 Vegetation on reclaimed mines © 2002 British Ecological Society, Journal of Applied Ecology

  17. Applying Mathematics.... ... to catch criminals

    E-Print Network [OSTI]

    O'Leary, Michael

    Applying Mathematics.... ... to catch criminals Mike O'Leary Department of Mathematics Towson University Stevenson University Kappa Mu Epsion 2008 Mike O'Leary (Towson University) Applying mathematics Department Mike O'Leary (Towson University) Applying mathematics to catch criminals September 10, 2008 2 / 42

  18. APPLIED TECHNOLOGY Strategic Plan Summary

    E-Print Network [OSTI]

    Heller, Barbara

    and collaborative technology-based support for the proposed Innovation Center and the Entrepreneurship Academy. We research centers­CNR, CPI, and CSP. Establish a food safety and processing technology hub/incubator/innovationSCHOOL OF APPLIED TECHNOLOGY Strategic Plan Summary #12;School of Applied Technology Strategic Plan

  19. Department of Applied Mathematics Department of Applied Mathematics

    E-Print Network [OSTI]

    Heller, Barbara

    , computational mathematics, discrete applied mathematics, and stochas- tics. More detailed descriptions of Philosophy in Collegiate Mathematics Education (joint program with the Department of Mathematics and Science Education) Research Facilities The department provides students with office space equipped with computers

  20. Sustainable Sourcing of Biomass Feedstock

    Broader source: Energy.gov [DOE]

    Opening Plenary Session: Bioenergy Sustainability—Charting the Path toward a Viable Future Al Lucier, Senior Vice President, National Council for Air and Stream Improvement, Inc.

  1. Challenge # 1. Feedstock & Production

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding RemovalCSS LetterStateDepartmentAnnounce05 U.S.September Target

  2. Feedstock Supply | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6AwardsScorecardLogistics

  3. QGESS: Specification for Selected Feedstocks

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.70COMMUNITY AEROSOL: ShalePutting! ! NERSC ! Q Q U U A

  4. Modeling applied to problem solving

    E-Print Network [OSTI]

    Pawl, Andrew

    We describe a modeling approach to help students learn expert problem solving. Models are used to present and hierarchically organize the syllabus content and apply it to problem solving, but students do not develop and ...

  5. IIT SCHOOL OF APPLIED TECHNOLOGY

    E-Print Network [OSTI]

    Heller, Barbara

    INDUSTRIAL TECHNOLOGY AND MANAGEMENT IIT SCHOOL OF APPLIED TECHNOLOGY PREPARING SKILLED INDIVIDUALS, INDUSTRIAL FACILITIES, SUPPLY CHAIN MANAGEMENT, SUSTAINABILITY AND MANUFACTURING TECHNOLOGY. #12;BE ONE to assess, implement, and utilize current technologies, and to learn how to manage industrial operations

  6. Sustainable FACULTY OF APPLIED SCIENCE

    E-Print Network [OSTI]

    Michelson, David G.

    Working Together Towards a Sustainable Energy Future FACULTY OF APPLIED SCIENCE Clean Energy aspects of sustainable energy solutions, and is committed to using its extensive expertise to serve, Electrical & Computer, Materials, Mechanical, Mining), the School of Architecture & Landscape Architecture

  7. CX-009420: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Additive Manufacturing Using EOSINT M280 CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  8. CX-009418: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Electron Beam Melting CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  9. CX-010574: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Applied Materials - Kerf-less Crystaline-Silicon Photovoltaic: Gas to Modules CX(s) Applied: B3.6 Date: 05162013 Location(s): California,...

  10. CX-009419: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Magnetic Pulser CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  11. Journal of Applied Ecology 2006

    E-Print Network [OSTI]

    Thomas, Len

    Journal of Applied Ecology 2006 43, 377­384 © 2006 The Authors. Journal compilation © 2006 British Ecological Society Blackwell Publishing Ltd METHODOLOGICAL INSIGHTS Point transect sampling with traps, Etive House, Beechwood Park, Inverness IV2 3BW, UK Summary 1. The ability to monitor abundance of animal

  12. APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING

    E-Print Network [OSTI]

    Rogina, Mladen

    APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING Brijuni, Croatia June 23{27, 2003. y x Runge's example; Organized by: Department of Mathematics, Unversity of Zagreb, Croatia. Miljenko Maru#20;si#19;c, chairman;simir Veseli#19;c Andro Mikeli#19;c Sponsors: Ministry of Science and Technology, Croatia, CV Sistemi d

  13. Applied Sustainability Political Science 319

    E-Print Network [OSTI]

    Young, Paul Thomas

    1 Applied Sustainability Political Science 319 College of Charleston Spring 2013 Day/Time: TH 1 Address: fisherb@cofc.edu Office: 284 King Street, #206 (Office of Sustainability) Office Hours: by appt sustainability. It will focus on the development of semester-long sustainability projects, from conception

  14. California Energy Commission Apply Today!

    E-Print Network [OSTI]

    including HVAC and thermal energy storage system upgrades, stadium light conversion and a microturbineCalifornia Energy Commission Apply Today! "The College implemented all of the recommended projects Programs Office (916) 654-4147 pubprog@energy.state.ca.us "CEC financing allowed us to install many

  15. implementing bioenergy applied research & development

    E-Print Network [OSTI]

    Northern British Columbia, University of

    1 A Northern Centre for Renewable Energy implementing bioenergy applied research & development to develop local solutions to these challenges by integrating campus operations, education, and research will help the University meet its current and future energy needs, reduce or eliminate our greenhouse gas

  16. APPLIED MICROBIAL AND CELL PHYSIOLOGY Growth and polyhydroxybutyrate production by Ralstonia

    E-Print Network [OSTI]

    Sinskey, Anthony J.

    potential as bioplastics. One promising class of carbon feedstocks for industrial PHA production is plant. 2006), and polyhydroxyalkanoate (PHA) bioplastics (Akiyama et al. C. F. Budde Department of Chemical

  17. Applying to Teacher Education Program at Purdue

    E-Print Network [OSTI]

    David Drasin

    2012-12-02T23:59:59.000Z

    Apply to the Teacher Education Program (TEP). Please remember to apply to the TEP(Gate A) if you wish to officially enroll in the. Professional Education ...

  18. Applied Materials | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy Resources JumpAnaconda,Anza ElectricInc Jump to:Applied

  19. CX-012313: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chicago Office Technical Support Services Contract CX(s) Applied: A8 Date: 06/13/2014 Location(s): CX: none Offices(s): Chicago Office

  20. CX-007858: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Southwest Solar Transformation Initiative CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  1. CX-010367: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Asbestos Abatement Actions CX(s) Applied: B1.16 Date: 11/19/2012 Location(s): Tennessee, California, Virginia Offices(s): Berkeley Site Office

  2. CX-010258: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bangladesh Meteorological Instrumentation Installation CX(s) Applied: A9 Date: 04/26/2013 Location(s): Colorado Offices(s): Golden Field Office

  3. CX-012632: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140456 - Salmon Creek Avenue Pathway Project CX(s) Applied: B4.9Date: 41885 Location(s): WashingtonOffices(s): Bonneville Power Administration

  4. CX-001373: Categorical Exclusion Determination | Department of...

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

    Analytical Development Tritium Support Laboratory for Mass Spectroscopy, Infrared Spectroscopy, and Raman CX(s) Applied: B3.6 Date: 03102010 Location(s): Aiken,...

  5. CX-004196: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-004196: Categorical Exclusion Determination Infrared and Raman Spectroscopy of Biological Safety Level-1 Biological Samples CX(s) Applied:...

  6. CX-000331: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000331: Categorical Exclusion Determination Kentucky Revision 2 - Commercial Office Building Retrofit Showcase CX(s) Applied: B1.4, B1.5,...

  7. CX-003518: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003518: Categorical Exclusion Determination Energy from Biomass Research and Technology Transfer Program CX(s) Applied: B3.6 Date: 08232010...

  8. CX-012089: Categorical Exclusion Determination | Department of...

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

    CX-012089: Categorical Exclusion Determination Wood Pole Testing for 20 Transmission Lines in Southern Arizona and Southern California CX(s) Applied: B3.1 Date: 04172014...

  9. CX-000815: Categorical Exclusion Determination | Department of...

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

    0815: Categorical Exclusion Determination CX-000815: Categorical Exclusion Determination Hydrogen Technology Laboratory 140 - Chromatography, Wet Laboratory CX(s) Applied: B3.6...

  10. CX-009005: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Henderson Solar Energy Project CX(s) Applied: B5.16 Date: 08/22/2012 Location(s): Nevada Offices(s): Golden Field Office

  11. CX-011116: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sunpath SANFAB CX(s) Applied: B5.16 Date: 08/09/2013 Location(s): Nevada Offices(s): Golden Field Office

  12. CX-012474: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Refractories/Ceramics Project CX(s) Applied: B3.6Date: 41870 Location(s): OregonOffices(s): National Energy Technology Laboratory

  13. CX-005151: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005151: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Wyoming CX(s) Applied: A9, A11...

  14. CX-005154: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005154: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Kentucky CX(s) Applied: A9, A11,...

  15. CX-005159: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005159: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - Indiana Geological Survey CX(s) Applied: A9,...

  16. CX-008691: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mason Substation Metering Replacement Project CX(s) Applied: B1.7 Date: 06/25/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  17. CX-011237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lightspeed Networks Inc. Fiber Installation CX(s) Applied: B4.9 Date: 10/24/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  18. CX-006471: Categorical Exclusion Determination | Department of...

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

    CX-006471: Categorical Exclusion Determination Air Awareness Campaign Electric Car Charging Station CX(s) Applied: B5.1 Date: 08042011 Location(s): Greenville, South...

  19. CX-000903: Categorical Exclusion Determination | Department of...

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

    903: Categorical Exclusion Determination CX-000903: Categorical Exclusion Determination Smart Grid Photovoltaic Pilot CX(s) Applied: B5.1 Date: 02242010 Location(s): Illinois...

  20. CX-012015: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-012015: Categorical Exclusion Determination Enhanced Wind Resource Assessment with Sonic Ranging and Detection at Tooele Army Depot CX(s) Applied:...

  1. CX-012110: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Defense Logistics Agency, Tracy, California, Wind Resource Assessment CX(s) Applied: A9, B3.1 Date: 05072014 Location(s): California...

  2. CX-002753: Categorical Exclusion Determination | Department of...

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

    Determination CX-002753: Categorical Exclusion Determination Gilt Edge Mine Wind Resource Assessment CX(s) Applied: B3.1 Date: 06212010 Location(s): Deadwood, South...

  3. CX-002823: Categorical Exclusion Determination | Department of...

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

    CX-002823: Categorical Exclusion Determination Nebraska College of Technical Agriculture Biomass Facility CX(s) Applied: B5.1 Date: 06242010 Location(s): Curtis, Nebraska...

  4. CX-006074: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006074: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic Manufacturing Initiative CX(s) Applied: A9 Date: 0628...

  5. CX-007549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Harrisonville - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office

  6. CX-007571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pulaski County - Wastewater CX(s) Applied: B5.1 Date: 12/29/2011 Location(s): Missouri Offices(s): Golden Field Office

  7. CX-008797: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coal Pile Basin Project CX(s) Applied: B1.29 Date: 06/04/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  8. CX-010590: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kalispell Shunt Cap Addition Project CX(s) Applied: B4.11 Date: 07/01/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  9. CX-008234: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Whole Energy Glycerin Refinery CX(s) Applied: B5.15 Date: 04/20/2012 Location(s): Washington Offices(s): Golden Field Office

  10. CX-011564: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Excess Facilities Deactivation and Demolition CX(s) Applied: B1.23 Date: 11/05/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  11. CX-012724: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Test Reactor (ATR) Electronic Message Board Installation CX(s) Applied: B1.7Date: 41830 Location(s): IdahoOffices(s): Nuclear Energy

  12. CX-002964: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002964: Categorical Exclusion Determination Wind Energy and Sustainable Energy Solutions CX(s) Applied: B3.11, A9 Date: 07092010...

  13. CX-005201: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005201: Categorical Exclusion Determination Tall Tower Wind Energy Monitoring and Numerical Model Validation in Southern Nevada CX(s) Applied: A9,...

  14. CX-003507: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination State Energy Program American Recovery and Reinvestment Act: Solar Power Incorporated Photovoltaic Panel Manufacturing Facility CX(s) Applied: B1.31,...

  15. CX-012810: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    St. Johns-Keeler Minor Access Road Improvement CX(s) Applied: B1.3Date: 41901 Location(s): OregonOffices(s): Bonneville Power Administration

  16. CX-011368: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Temperature Thermal Properties CX(s) Applied: B1.31 Date: 10/23/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  17. CX-011798: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Analytical Physics - Thermal Analysis CX(s) Applied: B3.6 Date: 01/30/2014 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  18. CX-001724: Categorical Exclusion Determination | Department of...

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

    CX-001724: Categorical Exclusion Determination Recovery Act City of Boise Energy Efficiency and Conservation Block Grant (EECBG) CX(s) Applied: B5.1 Date: 04122010...

  19. Categorical Exclusion Determinations: Western Area PowerAdministratio...

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

    Center October 26, 2009 CX-005544: Categorical Exclusion Determination Power Rate Formula for the Provo River Project of the Western Area Power Administration CX(s) Applied:...

  20. CX-012706: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Radiochemistry Laboratory (RCL) Supply Intake Filter Housing CX(s) Applied: B2.5Date: 41858 Location(s): IdahoOffices(s): Nuclear Energy

  1. CX-008684: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metaline Radio Station Upgrade Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  2. CX-009465: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: B3.6 Date: 10182012...

  3. CX-009462: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: A9, A11 Date: 1018...

  4. CX-011295: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011295: Categorical Exclusion Determination Material Dynamics and Kinetics Lab CX(s) Applied: B3.6 Date: 10172013 Location(s): Pennsylvania...

  5. CX-009463: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: B3.6 Date: 10182012...

  6. CX-009464: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: A9, A11 Date: 1018...

  7. CX-012776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Catalyst Processing, KCP14-05 CX(s) Applied: NOT NOTEDDate: 41857 Location(s): MissouriOffices(s): Kansas City Site Office

  8. CX-008215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Small Hydropower Research and Development Technology Project CX(s) Applied: A9 Date: 04/03/2012 Location(s): Colorado Offices(s): Golden Field Office

  9. CX-011535: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    East Grangeville Substation Sale CX(s) Applied: B1.24 Date: 11/14/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  10. CX-012233: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shed Acquisition at Kalispell Substation CX(s) Applied: B1.24 Date: 06/09/2014 Location(s): Montana Offices(s): Bonneville Power Administration

  11. CX-012622: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace roofing system at 702-F CX(s) Applied: B1.3Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  12. CX-012621: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace 730-2B Roof CX(s) Applied: B1.3Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  13. CX-012433: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computer Simulation and Prototype Construction and Testing CX(s) Applied: A9Date: 41878 Location(s): GeorgiaOffices(s): National Energy Technology Laboratory

  14. CX-010689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office

  15. Categorical Exclusion (CX) Determinations By Date | Department...

    Office of Environmental Management (EM)

    (CX) Determinations By Date Categorical Exclusion (CX) Determinations By Date August 25, 2015 CX-012469: Categorical Exclusion Determination Gas Analysis Services CX(s) Applied:...

  16. CX-010869: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nauticas Research Program CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): Illinois Offices(s): Argonne Site Office

  17. CX-012664: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SBIR/STTR Phase 0 Outreach and Assistance Program CX(s) Applied: A8Date: 41844 Location(s): IllinoisOffices(s): Chicago Office

  18. CX-010581: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Little Shell Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  19. CX-011252: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011252: Categorical Exclusion Determination Concentrating Solar Power Heat Integration for Baseload Renewable Energy Deployment CX(s) Applied: A9...

  20. CX-004374: Categorical Exclusion Determination | Department of...

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

    74: Categorical Exclusion Determination CX-004374: Categorical Exclusion Determination Solar Electric Power for Nonsectarian Educational and Social CX(s) Applied: A9, B5.1 Date:...

  1. CX-011391: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011391: Categorical Exclusion Determination Municipal Complex Solar Power Project CX(s) Applied: B3.14 Date: 12102013 Location(s): New Jersey...

  2. CX-008507: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008507: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase Three CX(s) Applied: B3.1, B5.3 Date: 07162012...

  3. CX-007111: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007111: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project (Iatan Generating Station) CX(s) Applied: B3.1...

  4. CX-008476: Categorical Exclusion Determination | Department of...

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

    CX-008476: Categorical Exclusion Determination Small Scale Field Test Demonstrating Carbon Dioxide Sequestration in the Arbuckle Saline Aquifer CX(s) Applied: A9, B1.15,...

  5. CX-007118: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007118: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project CX(s) Applied: B3.1 Date: 10042011...

  6. CX-009326: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009326: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Subtask 1.7 CX(s) Applied: B3.1 Date: 09282012...

  7. CX-000591: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination 25A2936 - Carbon Nanotube Membranes for Energy-Efficient Carbon Sequestration CX(s) Applied: B3.6 Date: 12152009 Location(s): California...

  8. CX-003037: Categorical Exclusion Determination | Department of...

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

    Determination CX-003037: Categorical Exclusion Determination Mercury Removal from Clean Coal Processing Air Stream CX(s) Applied: B3.6 Date: 07132010 Location(s): Butte,...

  9. CX-011165: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Heavy Mineral Separation CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  10. CX-012716: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    General Scientific Infrastructure Support for University of Wisconsin CX(s) Applied: B1.31Date: 41844 Location(s): WisconsinOffices(s): Nuclear Energy

  11. CX-011115: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Realization of Algae Potential CX(s) Applied: A9 Date: 08/29/2013 Location(s): New Mexico Offices(s): Golden Field Office

  12. CX-007844: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Retrofits CX(s) Applied: B5.1 Date: 12/01/2011 Location(s): Rhode Island Offices(s): Energy Efficiency and Renewable Energy

  13. CX-007689: Categorical Exclusion Determination | Department of...

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

    Tech Research Corporation- Prosumer-Based Distributed Autonomous Cyber-Physical Architecture for Ultra-Reliable Green Electricity Internetworks CX(s) Applied: A9 Date: 1118...

  14. CX-000734: Categorical Exclusion Determination | Department of...

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

    CX-000734: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Stillwater, Oklahoma Office(s):...

  15. CX-000733: Categorical Exclusion Determination | Department of...

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

    CX-000733: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Austin, Texas Office(s): Fossil...

  16. CX-010941: Categorical Exclusion Determination | Department of...

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

    CX-010941: Categorical Exclusion Determination Assessing the Response of Methane Hydrates to Environmental Change at the Svalbard Continental Margin CX(s) Applied: B3.6,...

  17. CX-007388: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007388: Categorical Exclusion Determination Regional Test Center Project: Solar Technology Acceleration Center (SolarTAC) CX(s) Applied: B1.15,...

  18. CX-012245: Categorical Exclusion Determination | Department of...

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

    5: Categorical Exclusion Determination CX-012245: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Carnegie Mellon CX(s) Applied: A9 Date:...

  19. CX-012253: Categorical Exclusion Determination | Department of...

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

    3: Categorical Exclusion Determination CX-012253: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - OSU CX(s) Applied: A9 Date: 05272014...

  20. CX-012252: Categorical Exclusion Determination | Department of...

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

    2: Categorical Exclusion Determination CX-012252: Categorical Exclusion Determination Hydro Research Foundation University Research Awards- Cornell CX(s) Applied: A9, B3.16 Date:...

  1. CX-012254: Categorical Exclusion Determination | Department of...

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

    4: Categorical Exclusion Determination CX-012254: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Vanderbilt CX(s) Applied: A9 Date: 05...

  2. CX-003904: Categorical Exclusion Determination | Department of...

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

    904: Categorical Exclusion Determination CX-003904: Categorical Exclusion Determination Hydro Electric Project - Snohomish Public Utility District CX(s) Applied: A9, A11, B5.1...

  3. CX-012246: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-012246: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - University of Tennessee CX(s) Applied:...

  4. CX-012241: Categorical Exclusion Determination | Department of...

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

    1: Categorical Exclusion Determination CX-012241: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - MIT CX(s) Applied: A9, B3.6 Date: 06...

  5. CX-011534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Grays River Confluence Property Funding CX(s) Applied: B1.25 Date: 11/08/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  6. CX-012434: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Low Cost Titanium Casting Technology CX(s) Applied: B3.6Date: 41878 Location(s): OhioOffices(s): National Energy Technology Laboratory

  7. CX-009542: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Parks Project CX(s) Applied: B5.16 Date: 11/09/2012 Location(s): Florida Offices(s): Golden Field Office

  8. CX-003403: Categorical Exclusion Determination | Department of...

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

    CX-003403: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: A9, B3.7...

  9. CX-002745: Categorical Exclusion Determination | Department of...

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

    CX-002745: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: B3.1, A9...

  10. CX-006681: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006681: Categorical Exclusion Determination New Drilling Location in Section 29 CX(s) Applied: B3.1 Date: 12232009 Location(s): Casper,...

  11. CX-006682: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006682: Categorical Exclusion Determination New Drilling Location in Section 29 (Revision 1) CX(s) Applied: B3.7 Date: 06022010 Location(s):...

  12. CX-008486: Categorical Exclusion Determination | Department of...

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

    CX-008486: Categorical Exclusion Determination Demonstration of Gas Powered Drilling Operations for Economically-Challenged Wellhead Gas and Evaluation CX(s) Applied:...

  13. CX-007941: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: A9 Date: 02152012 Location(s): Texas...

  14. CX-003888: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003888: Categorical Exclusion Determination Improved Drilling and Fracturing Fluids for Shale Gas Reservoirs CX(s) Applied: B3.6 Date: 09102010...

  15. CX-007940: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: B3.6 Date: 02152012 Location(s): Texas...

  16. CX-005582: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Foro Energy, Incorporated - Low-Contact Drilling Technology to Enable Economical Enhance Geothermal System Wells CX(s) Applied: B3.6,...

  17. CX-000855: Categorical Exclusion Determination | Department of...

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

    Determination CX-000855: Categorical Exclusion Determination 25A5208 - Low-contact Drilling Technology to Enable Economical Engineered Geothermal System Wells CX(s) Applied:...

  18. CX-008876: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Railroad Island Property Funding CX(s) Applied: B1.25 Date: 08/23/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  19. CX-011239: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Security Upgrades at Multiple Substations CX(s) Applied: ? Date: 10/02/2013 Location(s): Oregon, Washington Offices(s): Bonneville Power Administration

  20. CX-010739: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Golden State Solar Impact CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): California Offices(s): Golden Field Office

  1. CX-011044: Categorical Exclusion Determination | Department of...

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

    CX-011044: Categorical Exclusion Determination High Hydrogen, Low Methane Syngas from Low Ranked Coals for Coal-to-Liquids Production CX(s) Applied: A9 Date: 0910...

  2. CX-010751: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Ready 2 CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): Missouri Offices(s): Golden Field Office

  3. CX-004015: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004015: Categorical Exclusion Determination Arizona Balance of State- Energy Efficiency and Conservation Block Grant Wickenburg CX(s) Applied:...

  4. CX-009555: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009555: Categorical Exclusion Determination Assisting the Tooling and Machining Industry to Become Energy Efficient CX(s) Applied: A9 Date: 12102012...

  5. CX-000835: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000835: Categorical Exclusion Determination Wachs Cutter Tooling Station (4495) CX(s) Applied: B1.31 Date: 02112010 Location(s): Oak Ridge,...

  6. CX-012310: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sawmill Creek Stream Bank Erosion CX(s) Applied: B1.3 Date: 06/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  7. CX-010338: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Fiber Interconnection CX(s) Applied: B4.7 Date: 05/21/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  8. CX-011531: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Targhee Substation Land Acquisition CX(s) Applied: B1.24 Date: 11/05/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  9. CX-010435: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    De Moss Substation Expansion CX(s) Applied: B4.6 Date: 06/03/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  10. CX-011384: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Advanced Controls for the Multi-pod Centipod Wave Energy Converter Device CX(s) Applied: A9 Date: 12022013 Location(s): California...

  11. CX-011537: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wanacut Creek Upper Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  12. CX-011538: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ninemile Creek Lower Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  13. CX-011536: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Aeneans Creek Spring Property Funding CX(s) Applied: B1.25 Date: 11/25/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  14. CX-011416: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11 Date: 12/19/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  15. CX-010778: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11 Date: 08/23/2013 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  16. CX-012472: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11, B3.11Date: 41873 Location(s): OhioOffices(s): National Energy Technology Laboratory

  17. CX-012038: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Deepwater Reverse-Circulation Primary Cementing CX(s) Applied: A9 Date: 04/17/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  18. CX-010582: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Spring Creek Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  19. CX-003706: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Development and Demonstration of an Innovative Thermal Energy Storage System for Baseload Solar Power Generation CX(s) Applied: A9, B3.6...

  20. CX-004217: Categorical Exclusion Determination | Department of...

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

    Replacement Facets for Central Receiver Test Facility Heliostats at the National Solar Thermal Test Facility (American Recovery and Reinvestment Act Funded) CX(s) Applied:...

  1. CX-003222: Categorical Exclusion Determination | Department of...

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

    and Reinvestment Act State Energy Program - Eastern Oregon Correctional Institution Solar Thermal CX(s) Applied: B5.1 Date: 08032010 Location(s): Pendleton, Oregon...

  2. CX-003208: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003208: Categorical Exclusion Determination Michigan 85% Ethanol Fuel (E85) Infrastructure Project CX(s) Applied: B5.1 Date: 08032010 Location(s):...

  3. CX-003471: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003471: Categorical Exclusion Determination Pennsylvania Ethanol Fuel (E85) Corridor Project - Lew's Service Center CX(s) Applied: B5.1 Date: 0823...

  4. CX-011215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nepese Marsh Upgrades CX(s) Applied: B2.5 Date: 10/17/2013 Location(s): Illinois Offices(s): Fermi Site Office

  5. CX-008534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Peter Wentz Geothermal CX(s) Applied: B5.19 Date: 05/23/2012 Location(s): Pennsylvania Offices(s): Golden Field Office

  6. CX-008204: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Finch CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  7. CX-008203: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Demoret CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  8. CX-009442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cutters Grove, Anoka CX(s) Applied: A9, B5.19 Date: 07/31/2012 Location(s): Minnesota Offices(s): Golden Field Office

  9. CX-007836: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building Retrofits CX(s) Applied: B5.19 Date: 01/30/2012 Location(s): Illinois Offices(s): Energy Efficiency and Renewable Energy

  10. CX-008241: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Teter CX(s) Applied: B5.19 Date: 05/15/2012 Location(s): Missouri Offices(s): Golden Field Office

  11. CX-008205: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Weaver CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  12. CX-010583: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Upper Jocko River Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  13. CX-007925: Categorical Exclusion Determination | Department of...

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

    Determination CX-007925: Categorical Exclusion Determination Severe Environment Corrosion and Erosion Research Facility CX(s) Applied: B3.6 Date: 02222012 Location(s):...

  14. CX-006048: Categorical Exclusion Determination | Department of...

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

    Determination CX-006048: Categorical Exclusion Determination Severe Environmental Corrosion & Erosion Research Facility (SECERF) CX(s) Applied: B3.6 Date: 06082011...

  15. CX-006395: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006395: Categorical Exclusion Determination Corrosion Tests on Carbon Steel Exposed to Oxalic Acid and a Sludge Simulant CX(s) Applied:...

  16. CX-005801: Categorical Exclusion Determination | Department of...

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

    Determination CX-005801: Categorical Exclusion Determination Polymer Synthesis, Corrosion, and Electrochemical Tests in Lab D-0115 CX(s) Applied: B3.6 Date: 03312011...

  17. CX-006043: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006043: Categorical Exclusion Determination CorrosionElectrochemistry Laboratory CX(s) Applied: B3.6 Date: 06082011 Location(s):...

  18. CX-005861: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005861: Categorical Exclusion Determination Pretreatment Engineering Platform (PEP) Sludge Simulant Preparation CX(s) Applied: B3.6 Date: 03172011...

  19. CX-011131: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Puget Sound Pilot Tidal Energy Project CX(s) Applied: A9 Date: 08/13/2013 Location(s): Washington Offices(s): Golden Field Office

  20. CX-012195: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alfalfa Substation Control House Replacement CX(s) Applied: B4.11 Date: 05/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  1. CX-008683: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shaniko Radio Station Replacement Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  2. CX-012790: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Haystack Butte Radio Site Land Acquisition CX(s) Applied: B1.24Date: 41939 Location(s): WashingtonOffices(s): Bonneville Power Administration

  3. CX-009698: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sale of Lakeside Radio Station CX(s) Applied: B1.24 Date: 12/27/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  4. CX-012231: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mica Peak Radio Station upgrade CX(s) Applied: B1.19 Date: 06/09/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  5. CX-011190: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alberton Communication Site Construction CX(s) Applied: B1.19 Date: 08/26/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  6. CX-002138: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002138: Categorical Exclusion Determination Waste Digester Biogas Recovery System CX(s) Applied: B5.1 Date: 04292010 Location(s): Plover, Wisconsin...

  7. CX-005444: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Energy Efficiency and Conservation Block Grant: Electric and Hybrid Vehicle Incremental Cost Recovery CX(s) Applied: B5.1 Date: 03222011 Location(s):...

  8. CX-012189: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Microbial Laboratory Analysis CX(s) Applied: B3.12 Date: 05/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  9. CX-009423: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Relay and Switchboard Panel Replacements CX(s) Applied: B4.6 Date: 10/29/2012 Location(s): Arkansas Offices(s): Southwestern Power Administration

  10. CX-010057: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Protective Relay Installation CX(s) Applied: B1.7 Date: 01/29/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  11. CX-008803: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Milling Machine Replacement Projects CX(s) Applied: B1.31 Date: 05/14/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  12. CX-011194: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Particle Physics Division Outback Garage CX(s) Applied: B1.15 Date: 09/19/2013 Location(s): Illinois Offices(s): Fermi Site Office

  13. CX-010772: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Water Security Test Bed (WSTB) CX(s) Applied: B3.6 Date: 07/17/2013 Location(s): Idaho Offices(s): Nuclear Energy

  14. CX-011679: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Antifoam Degradation Testing CX(s) Applied: B3.6 Date: 12/05/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  15. CX-012118: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Hydro Research Foundation University Research Awards - Tufts CX(s) Applied: A9 Date: 05/21/2014 Location(s): Georgia Offices(s): Golden Field Office

  16. CX-012255: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Hydro Research Foundation University Research Awards - University of Washington CX(s) Applied: A9 Date: 05272014 Location(s): Washington...

  17. CX-010951: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Automotive Technology Analysis CX(s) Applied: A8 Date: 09/17/2013 Location(s): Virginia Offices(s): National Energy Technology Laboratory

  18. CX-001416: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001416: Categorical Exclusion Determination Integration of Solar Energy in the City of Boston's Emergency Preparedness Infrastructure CX(s) Applied:...

  19. CX-003569: Categorical Exclusion Determination | Department of...

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

    Determination Ohio Advanced Transportation Partnership - Pike Delta York Schools Propane Vehicle Fueling Station CX(s) Applied: B5.1 Date: 08242010 Location(s): Delta, Ohio...

  20. CX-006894: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Ohio Advanced Transportation PartnershipFrito Lay Cincinnati Propane Fueling Infrastructure CX(s) Applied: B5.1 Date: 09282011 Location(s): West...

  1. CX-009634: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    Exclusion Determination CX-009634: Categorical Exclusion Determination Advanced Test Reactor (ATR) Transition to Commercial Power CX(s) Applied: B2.5 Date: 12052012...

  2. CX-007358: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Integration of the University of Oregon's Cogeneration Project CX(s) Applied: B1.7 Date: 12012011 Location(s): Oregon Offices(s):...

  3. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  4. CX-010588: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chehalis Substation Tree Clearing CX(s) Applied: B1.3 Date: 07/02/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  5. CX-008700: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Natapoc Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  6. CX-010155: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Augspurger Radio Tower Replacement Project CX(s) Applied: B1.19 Date: 04/03/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  7. CX-007866: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SunShot Massachusetts CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Massachusetts Offices(s): Golden Field Office

  8. CX-007856: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sacramento Regional Energy Alliance CX(s) Applied: B5.23 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  9. CX-004629: Categorical Exclusion Determination | Department of...

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

    Determination CX-004629: Categorical Exclusion Determination Seneca Nation of New York Energy Efficiency and Conservation Strategies CX(s) Applied: A1, A9, A11 Date: 1026...

  10. CX-005672: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Energy Systems Integration Facility Excavation Soil Stockpile CX(s) Applied: B1.15 Date: 04122011 Location(s): Golden, Colorado...

  11. CX-008264: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compressed Natural Gas Fueling Facility CX(s) Applied: A1 Date: 05/24/2012 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  12. CX-005249: Categorical Exclusion Determination | Department of...

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

    Wisconsin Clean Transportation Program - City of Milwaukee Ruby Avenue Compressed Natural Gas Infrastructure CX(s) Applied: B5.1 Date: 02152011 Location(s): Milwaukee,...

  13. CX-008468: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compressed Natural Gas Fueling Facility CX(s) Applied: A1 Date: 06/12/2012 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  14. CX-007382: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compressed Natural Gas Manufacturing CX(s) Applied: B5.1 Date: 10/26/2011 Location(s): Wisconsin Offices(s): Golden Field Office

  15. CX-006678: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Restoration of 54-TPX-10CX(s) Applied: B6.1Date: 01/19/2010Location(s): Casper, WyomingOffice(s): RMOTC

  16. CX-012463: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Reliable SOFC Systems CX(s) Applied: A9, B3.6Date: 41877 Location(s): ConnecticutOffices(s): National Energy Technology Laboratory

  17. CX-002168: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002168: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  18. CX-001403: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001403: Categorical Exclusion Determination West New York Energy Efficiency Projects CX(s) Applied: B5.1 Date: 04092010 Location(s): West New...

  19. CX-009133: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-009133: Categorical Exclusion Determination New York Program Year 2012 Formula Grants - State Energy Program CX(s) Applied: A9, A11 Date:...

  20. CX-001636: Categorical Exclusion Determination | Department of...

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

    Determination CX-001636: Categorical Exclusion Determination Alexandria Bay, New York, Met Tower: General Services Administration Border Station CX(s) Applied: B3.1, A9...

  1. CX-002167: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002167: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  2. CX-006748: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006748: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  3. CX-007020: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-007020: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  4. CX-003465: Categorical Exclusion Determination | Department of...

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

    CX-003465: Categorical Exclusion Determination Vehicle Technologies Program Advanced Automotive Fuels Research, Development and Commercialization Cluster CX(s) Applied: A9, B2.2,...

  5. CX-005747: Categorical Exclusion Determination | Department of...

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

    Determination CX-005747: Categorical Exclusion Determination Biobased Materials Automotive Value Chain Market Development Analysis CX(s) Applied: A9 Date: 05042011...

  6. CX-006211: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Missouri Independent Energy Efficiency Program: Henniges Automotive - Process Air Compressor Upgrades CX(s) Applied: B5.1 Date: 07182011 Location(s):...

  7. CX-009210: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Silver Butte Fiber Burial Project CX(s) Applied: B.47 Date: 08/28/2012 Location(s): Montana, Montana Offices(s): Bonneville Power Administration

  8. CX-012054: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Catalyst Synthesis CX(s) Applied: B3.6 Date: 03/18/2014 Location(s): South Carolina Offices(s): Savannah River Operations Office

  9. CX-012117: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-012117: Categorical Exclusion Determination Fuel Cell Hybrid Walk-In Van Deployment Project CX(s) Applied: A9 Date: 05212014 Location(s):...

  10. CX-007517: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    UPF Mock Wall Project CX(s) Applied: B3.6 Date: 11/29/2011 Location(s): Tennessee Offices(s): Y-12 Site Office

  11. CX-004745: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Acquisition of a Conservation Easement for Fish Habitat Mitigation in Okanogan County, Washington CX(s) Applied: A7 Date: 12082010...

  12. CX-003908: Categorical Exclusion Determination | Department of...

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

    CX-003908: Categorical Exclusion Determination Fiscal Year 2010 Columbia Basin Fish Accords with Colville Confederated Tribes CX(s) Applied: B1.25 Date: 09082010...

  13. CX-012718: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Idaho State University Reactor Laboratory Modernization CX(s) Applied: B1.31Date: 41844 Location(s): IdahoOffices(s): Nuclear Energy

  14. CX-011642: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pantex Lake Land Utilization CX(s) Applied: B1.11 Date: 11/05/2013 Location(s): Texas Offices(s): Pantex Site Office

  15. CX-011634: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Closure Turf Installation CX(s) Applied: B6.1 Date: 08/27/2013 Location(s): Texas Offices(s): Pantex Site Office

  16. CX-008545: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Energy Evolution and Diffusion Studies CX(s) Applied: A9 Date: 06/19/2012 Location(s): CX: none Offices(s): Golden Field Office

  17. CX-004085: Categorical Exclusion Determination | Department of...

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

    Determination Project T-221, Hazardous Material Management and Emergency Response (HAMMER) Operations Building CX(s) Applied: B1.15 Date: 10082010 Location(s): Richmond,...

  18. CX-008535: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    King County Biogas and Nutrient Reduction CX(s) Applied: A9 Date: 05/22/2012 Location(s): Washington Offices(s): Golden Field Office

  19. CX-012247: Categorical Exclusion Determination | Department of...

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

    Determination CX-012247: Categorical Exclusion Determination Installation of Solar Photovoltaic Systems CX(s) Applied: A9, B5.16 Date: 06182014 Location(s): Wisconsin, Wisconsin...

  20. CX-008989: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    State Energy Program CX(s) Applied: A9, A11 Date: 08/27/2012 Location(s): Kansas Offices(s): Golden Field Office

  1. CX-006539: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006539: Categorical Exclusion Determination Boulder Wind Power Advanced Gearless Drivetrain CX(s) Applied: A9, B3.6 Date: 08252011 Location(s):...

  2. CX-009898: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009898: Categorical Exclusion Determination 25A1455 - CO2 Capture with Enzyme Synthetic Analogue CX(s) Applied: B3.6 Date: 12152009...

  3. CX-100018: Categorical Exclusion Determination | Department of...

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

    Determination Wind Generator Project CX(s) Applied: A9 Date: 08152014 Location(s): Michigan Offices(s): Golden Field Office Technology Office: Wind Program Award Number:...

  4. CX-009710: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009710: Categorical Exclusion Determination Spring Creek - Wine County No. 1 Transmission Tower Relocation CX(s) Applied: B4.6 Date: 11292012...

  5. CX-012317: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Performance Computing Upgrades CX(s) Applied: B1.31 Date: 06/16/2014 Location(s): Idaho Offices(s): Nuclear Energy

  6. CX-003506: Categorical Exclusion Determination | Department of...

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

    State Energy Program American Recovery and Reinvestment Act: Quantum Solar Photovoltaic Module Manufacturing Plant CX(s) Applied: B5.1 Date: 08302010 Location(s):...

  7. CX-000571: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-000571: Categorical Exclusion Determination Photovoltaic Panel Installation (Building 833, TA-I) CX(s) Applied: B5.1 Date: 12102009...

  8. CX-004002: Categorical Exclusion Determination | Department of...

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

    Determination Knoxville Solar America Cites - Knox Heritage, Incorporated Solar Photovoltaic and Solar Thermal Demonstration Installation CX(s) Applied: B5.1 Date: 09202010...

  9. CX-008563: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008563: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 06132012...

  10. CX-000924: Categorical Exclusion Determination | Department of...

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

    National Accreditation Certification Program for Installation and Acceptance of Photovoltaic Systems CX(s) Applied: A9 Date: 02232010 Location(s): New York Office(s): Energy...

  11. CX-004021: Categorical Exclusion Determination | Department of...

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

    Determination State Energy Program American Recovery and Reinvestment Act: Solaria Photovoltaic Manufacturing Facility CX(s) Applied: B5.1 Date: 10082010 Location(s): Fremont,...

  12. CX-007872: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007872: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  13. CX-007873: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007873: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  14. CX-009914: Categorical Exclusion Determination | Department of...

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

    Determination CX-009914: Categorical Exclusion Determination Plug & Play Solar Photovoltaic for American Homes CX(s) Applied: A9, B3.6 Date: 01282013 Location(s):...

  15. CX-000653: Categorical Exclusion Determination | Department of...

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

    Determination CX-000653: Categorical Exclusion Determination Helios - Project: Photovoltaic Crystalline Module Assembly Plant CX(s) Applied: B5.1 Date: 01272010 Location(s):...

  16. CX-007867: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007867: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.16 Date: 01272012...

  17. CX-005993: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005993: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.1 Date: 05262011...

  18. CX-010740: Categorical Exclusion Determination | Department of...

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

    CX-010740: Categorical Exclusion Determination Integration of Behind-the-Meter Photovoltaic Fleet Forecasts into Utility Grid System Operations CX(s) Applied: A9, A11 Date:...

  19. CX-001417: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Field Verification of High-Penetration Levels of Photovoltaic into the Distribution Grid with Advanced Power Conditioning Systems CX(s) Applied:...

  20. CX-001654: Categorical Exclusion Determination | Department of...

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

    Determination CX-001654: Categorical Exclusion Determination Burlington County Photovoltaic (PV) System CX(s) Applied: B5.1 Date: 04092010 Location(s): County of Burlington,...

  1. CX-003378: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003378: Categorical Exclusion Determination Photovoltaic Solar Cell Fabrication Alkaline Texturing Process Improvement CX(s) Applied: B3.6...

  2. CX-005385: Categorical Exclusion Determination | Department of...

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

    CX-005385: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Power Systems for Utility Power Generation -Sandia Site CX(s) Applied: B5.1 Date:...

  3. CX-009272: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building 94 Facade Restoration CX(s) Applied: B1.3 Date: 09/10/2012 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  4. CX-010578: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Celilo Converter Station Upgrades CX(s) Applied: B4.11 Date: 07/25/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  5. CX-004957: Categorical Exclusion Determination | Department of...

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

    CX-004957: Categorical Exclusion Determination General Compression, Inc. -Fuel-Free, Ubiquitous, Compressed Air Energy Storage CX(s) Applied: B3.6 Date: 08142010...

  6. CX-011751: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination GreenLight Biosciences - Highly Productive Cell-free Bioconversion of Methane CX(s) Applied: B3.6 Date: 12122013 Location(s):...

  7. CX-006558: Categorical Exclusion Determination | Department of...

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

    Determination Geothennal Resource Development with Zero Mass Withdrawal, Engineered Free Convection, and Wellbore Energy Conversion CX(s) Applied: A9, B3.6 Date: 08242011...

  8. CX-002572: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Manufacturing and Commercialization of Energy Efficient Generators for Small Wind Turbines CX(s) Applied: A1, B5.1 Date: 05192010...

  9. CX-010237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pittsburgh Green Innovators Synergy Center CX(s) Applied: A9 Date: 02/28/2013 Location(s): Pennsylvania Offices(s): Golden Field Office

  10. CX-012110: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cowlitz Falls Fish Facility Access Agreement Extension CX(s) Applied: A2 Date: 04/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  11. CX-004249: Categorical Exclusion Determination | Department of...

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

    CX-004249: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Power Systems for Utility Power Generation CX(s) Applied: B5.1 Date: 10142010...

  12. CX-009513: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Aquatic Invasive Mussels Monitoring CX(s) Applied: B3.1 Date: 10/15/2012 Location(s): CX: none Offices(s): Bonneville Power Administration

  13. CX-002511: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002511: Categorical Exclusion Determination Rhode Island Green Public Buildings Initiative CX(s) Applied: A9, B5.1 Date: 05282010 Location(s):...

  14. CX-000988: Categorical Exclusion Determination | Department of...

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

    988: Categorical Exclusion Determination CX-000988: Categorical Exclusion Determination Green Energy Works - Combined Heat and Power - Geisinger Medical Center CX(s) Applied: A9,...

  15. CX-002945: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002945: Categorical Exclusion Determination Pennsylvania Green Energy Works Targeted Grant - Native Energy Biogas Project CX(s) Applied: B1.15,...

  16. CX-007365: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007365: Categorical Exclusion Determination Integration of the Green Lane Energy Biogas Generator CX(s) Applied: B1.7 Date: 11172011 Location(s):...

  17. CX-008228: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-008228: Categorical Exclusion Determination Hydropower Energy Resource (HyPER) Harvester CX(s) Applied: A9 Date: 04112012 Location(s):...

  18. CX-003856: Categorical Exclusion Determination | Department of...

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

    Determination CX-003856: Categorical Exclusion Determination Road Prison Geothermal Earth Coupled Heating, Ventilation and Air Conditioning (HVAC) Upgrade CX(s) Applied: B5.1...

  19. CX-002034: Categorical Exclusion Determination | Department of...

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

    Determination CX-002034: Categorical Exclusion Determination Road Prison Geothermal Earth Coupled Heating, Ventilation, and Air Conditioning Upgrade CX(s) Applied: B3.1, A9...

  20. CX-010770: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wildland Fire Chainsaw Training CX(s) Applied: B1.2 Date: 08/01/2013 Location(s): Idaho Offices(s): Nuclear Energy

  1. CX-008341: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A-6 Office Building CX(s) Applied: B1.15 Date: 04/19/2012 Location(s): Pennsylvania Offices(s): Naval Nuclear Propulsion Program

  2. CX-003853: Categorical Exclusion Determination | Department of...

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

    Energy Efficiency and Conservation Block Grant (EECBG) - Sherman - Geothermal Heat Pump Installation CX(s) Applied: B5.1 Date: 09072010 Location(s): Sherman, Connecticut...

  3. CX-004925: Categorical Exclusion Determination | Department of...

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

    CX-004925: Categorical Exclusion Determination Material Methods - Phononic Heat Pump CX(s) Applied: B3.6 Date: 08132010 Location(s): Irvine, California Office(s):...

  4. CX-005651: Categorical Exclusion Determination | Department of...

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

    State Energy Program - Renewable Energy Incentives - Ennis Residence Open Loop Heat Pump System CX(s) Applied: B5.1 Date: 04282011 Location(s): Greenwood, Delaware...

  5. CX-003717: Categorical Exclusion Determination | Department of...

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

    CX-003717: Categorical Exclusion Determination Residential Ground Source Heat Pump Installation - Walter CX(s) Applied: B5.1 Date: 09152010 Location(s): Minnesota...

  6. CX-003715: Categorical Exclusion Determination | Department of...

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

    CX-003715: Categorical Exclusion Determination Residential Ground Source Heat Pump Installation - Staus CX(s) Applied: B5.1 Date: 09152010 Location(s): Minnesota...

  7. CX-001512: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Birmingham Recreation Center Ground Source Heat Pump Installation CX(s) Applied: A9, B5.1 Date: 04012010 Location(s): Birmingham,...

  8. CX-006083: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006083: Categorical Exclusion Determination Ground Source Heat Pump Installation - Lac Qui Parle County Courthouse, Minnesota CX(s) Applied: B5.1 Date:...

  9. CX-000907: Categorical Exclusion Determination | Department of...

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

    Determination Improved Design Tools for Surface Water and Standing Column Well Heat Pump Systems CX(s) Applied: A9 Date: 02242010 Location(s): Stillwater, Oklahoma...

  10. CX-004348: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination State Energy Program Residential Ground Source Heat Pump Installations (6) CX(s) Applied: B5.1 Date: 10272010 Location(s): Prior Lake,...

  11. CX-003986: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination State Energy Program Residential Ground Source Heat Pump Installation - Korf CX(s) Applied: B5.1 Date: 09212010 Location(s): Minnesota...

  12. CX-004545: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination State Energy Program - Residential Ground Source Heat Pump Installation - Dalager CX(s) Applied: B5.1 Date: 11242010 Location(s): Minnesota...

  13. CX-004539: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination State Energy Program - Residential Ground Source Heat Pump Installation - Binford, Eric CX(s) Applied: B5.1 Date: 11242010 Location(s):...

  14. CX-006201: Categorical Exclusion Determination | Department of...

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

    Tennessee Energy Efficient Schools Initiative Schools Initiative Ground Source Heat Pump Program (Phase 2 and 3 for Lawrence Public and South Lawrence) CX(s) Applied: A9,...

  15. CX-000906: Categorical Exclusion Determination | Department of...

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

    Determination Development of Design and Simulation Tool for Hybrid Geothermal Heat Pump System CX(s) Applied: A9 Date: 02242010 Location(s): Oklahoma City, Oklahoma...

  16. CX-004376: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination City of Woodward, Oklahoma Ground Source Heat Pump Project Beyond State Template CX(s) Applied: B5.1 Date: 11012010 Location(s):...

  17. CX-011214: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sensitive Instrument Facility CX(s) Applied: B3.6 Date: 07/10/2013 Location(s): Iowa Offices(s): Ames Site Office

  18. CX-009543: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sopogy Subcontract CX(s) Applied: A9, B5.15 Date: 11/28/2012 Location(s): Hawaii Offices(s): Golden Field Office

  19. CX-008571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Project Blue Energy CX(s) Applied: A9 Date: 06/20/2012 Location(s): Utah Offices(s): Golden Field Office

  20. CX-009579: Categorical Exclusion Determination | Department of...

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

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