National Library of Energy BETA

Sample records for university energy modeling

  1. Interacting agegraphic dark energy models in non-flat universe

    E-Print Network [OSTI]

    Ahmad Sheykhi

    2009-09-12

    A so-called "agegraphic dark energy" was recently proposed to explain the dark energy-dominated universe. In this Letter, we generalize the agegraphic dark energy models to the universe with spatial curvature in the presence of interaction between dark matter and dark energy. We show that these models can accommodate $w_D = -1 $ crossing for the equation of state of dark energy. In the limiting case of a flat universe, i.e. $k = 0$, all previous results of agegraphic dark energy in flat universe are restored.

  2. Interacting polytropic gas model of phantom dark energy in non-flat universe

    E-Print Network [OSTI]

    K. Karami; S. Ghaffari; J. Fehri

    2009-11-25

    By introducing the polytropic gas model of interacting dark energy, we obtain the equation of state for the polytropic gas energy density in a non-flat universe. We show that for even polytropic index by choosing $K>Ba^{\\frac{3}{n}}$, one can obtain $\\omega^{\\rm eff}_{\\Lambda}universe dominated by phantom dark energy.

  3. SO(1,1) dark energy model and the universe transition

    E-Print Network [OSTI]

    Yi-Huan Wei; Yu Tian

    2004-09-18

    We suggest a scalar model of dark energy with the SO(1,1) symmetry. The model may be reformulated in terms of a real scalar field $\\Phi$ and the scale factor $a$ so that the Lagrangian may be decomposed as that of the real quintessence model plus the negative coupling energy term of $\\Phi$ to $a$. The existence of the coupling term $L^c$ leads to a wider range of $w_{\\Phi}$ and overcomes the problem of negative kinetic energy in the phantom universe model. We propose a power-law expansion model of univese with time-dependent power, which can describe the phantom universe and the universe transition from ordinary acceleration to super acceleration.

  4. Interacting holographic dark energy model and generalized second law of thermodynamics in non-flat universe

    E-Print Network [OSTI]

    M. R. Setare

    2007-01-26

    In the present paper we consider the interacting holographic model of dark energy to investigate the validity of the generalized second laws of thermodynamics in non-flat (closed) universe enclosed by the event horizon measured from the sphere of the horizon named $L$. We show that for $L$ as the system's IR cut-off the generalized second law is respected for the special range of the deceleration parameter.

  5. Residence Hall ROI: The Benefits of Energy Modeling for University Dormitories 

    E-Print Network [OSTI]

    Hodges, C.; Hernandez, A.

    2013-01-01

    , Texas Dec. 16-18 Units kWh + therm = kBtu University of Houston Texas State University Stephen F. Austin ESL-KT-13-12-20 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Baseline Energy Use Energy per square foot...Btu / sf 51 kBtu / sf 24 MBtu / bed 18 MBtu / bed 16 MBtu / bed University of Houston Texas State University Stephen F. Austin Energy per square foot: Energy per bed: ESL-KT-13-12-20 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio...

  6. The Dark Energy Universe

    E-Print Network [OSTI]

    Burra G. Sidharth

    2015-01-12

    Some seventy five years ago, the concept of dark matter was introduced by Zwicky to explain the anomaly of galactic rotation curves, though there is no clue to its identity or existence to date. In 1997, the author had introduced a model of the universe which went diametrically opposite to the existing paradigm which was a dark matter assisted decelarating universe. The new model introduces a dark energy driven accelarating universe though with a small cosmological constant. The very next year this new picture was confirmed by the Supernova observations of Perlmutter, Riess and Schmidt. These astronomers got the 2011 Nobel Prize for this dramatic observation. All this is discussed briefly, including the fact that dark energy may obviate the need for dark matter.

  7. Constraining dark energy models using the lookback time to galaxy clusters and the age of the universe

    SciTech Connect (OSTI)

    Capozziello, S.; Cardone, V.F.; Funaro, M.; Andreon, S.

    2004-12-15

    An impressive amount of different astrophysical data converges towards the picture of a spatially flat Universe undergoing today a phase of accelerated expansion. The nature of the dark energy dominating the energy content of the Universe is still unknown, and a lot of different scenarios are viable candidates to explain cosmic acceleration. Most of the methods employed to test these cosmological models are essentially based on distance measurements to a particular class of objects. A different method, based on the lookback time to galaxy clusters and the age of the Universe, is used here. In particular, we constrain the characterizing parameters of three classes of dark energy cosmological models to see whether they are in agreement with this kind of data, based on time measurements rather than distance observations.

  8. Anisotropic model of dark energy dominated universe with hybrid expansion law

    E-Print Network [OSTI]

    Suresh Kumar

    2013-08-22

    The paper deals with the study of the dynamics of Universe within the framework of a spatially homogeneous Bianchi-V space-time filled with a perfect fluid composed of non-interacting matter and dynamical dark energy components. We determine the Bianchi-V space-time by considering hybrid expansion law (HEL) for the average scale factor that yields power-law and exponential-law cosmologies in its special cases. In the HEL cosmology, the Universe exhibits transition from deceleration to acceleration. We find that the HEL Universe within the framework of Bianchi-V space-time is anisotropic at the early stages of evolution and becomes isotropic at late times. The dynamical dark energy in the HEL Bianchi-V Universe does not show departure from the usual cosmological constant at later times.

  9. Agegraphic Dark Energy Model in Non-Flat Universe: Statefinder Diagnostic and $w-w^{\\prime}$ Analysis

    E-Print Network [OSTI]

    M. Malekjani; A. Khodam-Mohammadi

    2010-06-06

    We study the interacting agegraphic dark energy (ADE) model in non-flat universe by means of statefinder diagnostic and $w-w^{\\prime}$ analysis. First, the evolution of EoS parameter ($w_d$) and deceleration parameter ($q$) in terms of scale factor for interacting ADE model in non-flat universe are calculated. Dependence of $w_d$ on the ADE model parameters $n$ and $\\alpha$ in different spatial curvatures is investigated. We show that the evolution of $q$ is dependent on the type of spatial curvature, beside of dependence on parameters $n$ and $\\alpha$. The accelerated expansion takes place sooner in open universe and later in closed universe compare with flat universe. Then, we plot the evolutionary trajectories of the interacting ADE model for different values of the parameters $n$ and $\\alpha$ as well as for different contributions of spatial curvature, in the statefinder parameters plane. In addition to statefinder, we also investigate the ADE model in non-flat universe with $w-w^{\\prime}$ analysis.

  10. Validity of the Generalized Second Law of Thermodynamics of the Universe Bounded by the Event Horizon in Holographic Dark Energy Model

    E-Print Network [OSTI]

    Nairwita Mazumder; Subenoy Chakraborty

    2010-05-19

    In this letter, we investigate the validity of the generalized second law of thermodynamics of the universe bounded by the event horizon in the holographic dark energy model. The universe is chosen to be homogeneous and isotropic and the validity of the first law has been assumed here. The matter in the universe is taken in the form of non-interacting two fluid system- one component is the holographic dark energy model and the other component is in the form of dust.

  11. Revisiting the holographic dark energy in a non-flat universe: alternative model and cosmological parameter constraints

    E-Print Network [OSTI]

    Jing-Fei Zhang; Ming-Ming Zhao; Jing-Lei Cui; Xin Zhang

    2014-11-25

    We propose an alternative model for the holographic dark energy in a non-flat universe. This new model differs from the previous one in that the IR length cutoff $L$ is taken to be exactly the event horizon size in a non-flat universe, which is more natural and theoretically/conceptually concordant with the model of holographic dark energy in a flat universe. We constrain the model using the recent observational data including the type Ia supernova data from SNLS3, the baryon acoustic oscillation data from 6dF, SDSS-DR7, BOSS-DR11, and WiggleZ, the cosmic microwave background data from Planck, and the Hubble constant measurement from HST. In particular, since some previous studies have shown that the color-luminosity parameter $\\beta$ of supernovae is likely to vary during the cosmic evolution, we also consider such a case that $\\beta$ in SNLS3 is time-varying in our data fitting. Compared to the constant $\\beta$ case, the time-varying $\\beta$ case reduces the value of $\\chi^2$ by about 35 and results in that $\\beta$ deviates from a constant at about 5$\\sigma$ level, well consistent with the previous studies. For the parameter $c$ of the holographic dark energy, the constant $\\beta$ fit gives $c=0.65\\pm 0.05$ and the time-varying $\\beta$ fit yields $c=0.72\\pm 0.06$. In addition, an open universe is favored (at about 2$\\sigma$) for the model by the current data.

  12. Revisiting the holographic dark energy in a non-flat universe: alternative model and cosmological parameter constraints

    E-Print Network [OSTI]

    Zhang, Jing-Fei; Cui, Jing-Lei; Zhang, Xin

    2014-01-01

    We propose an alternative model for the holographic dark energy in a non-flat universe. This new model differs from the previous one in that the IR length cutoff $L$ is taken to be exactly the event horizon size in a non-flat universe, which is more natural and theoretically/conceptually concordant with the model of holographic dark energy in a flat universe. We constrain the model using the recent observational data including the type Ia supernova data from SNLS3, the baryon acoustic oscillation data from 6dF, SDSS-DR7, BOSS-DR9, and WiggleZ, the cosmic microwave background data from Planck, and the Hubble constant measurement from HST. In particular, since some previous studies have shown that the color-luminosity parameter $\\beta$ of supernovae is likely to vary during the cosmic evolution, we also consider such a case that $\\beta$ in SNLS3 is time-varying in our data fitting. Compared to the constant $\\beta$ case, the time-varying $\\beta$ case reduces the value of $\\chi^2$ by about 35 and results in that ...

  13. OKLAHOMA STATE UNIVERSITY ENERGY CONFERENCE

    E-Print Network [OSTI]

    Veiga, Pedro Manuel Barbosa

    OKLAHOMA STATE UNIVERSITY ENERGY CONFERENCE Eighth Annual COX BUSINESS CONVENTION CENTER - OKLAHOMA CITY OKLAHOMA CITY - THURSDAY, MAY 1, 2014 "THE CHANGING LANDSCAPE OF NORTH AMERICAN ENERGY" Offered of Business at Oklahoma State University in cooperation with the Natural Gas and Energy Association

  14. Occupancy Modeling and Prediction for Building Energy Varick L. Erickson, University of California, Merced

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    for Energy-Efficiency in Building (BuildSys 2010). Permission to make digital or hard copies of part or all

  15. Occupancy Modeling and Prediction for Building Energy Management VARICK L. ERICKSON, University of California, Merced

    E-Print Network [OSTI]

    Carreira-Perpiñán, Miguel Á.

    control strategy," in Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building (BuildSys 2010). This material is based upon work partially supported by the National Science

  16. From the Dark Matter Universe to the Dark Energy Universe

    E-Print Network [OSTI]

    Burra G. Sidharth

    2008-03-30

    Till the late nineties the accepted cosmological model was that of a Universe that had originated in the Big Bang and was now decelerating under the influence of as yet undetected dark matter, so that it would come to a halt and eventually collapse. In 1997 however, the author had put forward a contra model wherein the Universe was driven by dark energy, essentially the quantum zero point field, and was accelerating with a small cosmological constant. There were other deductions too, all in total agreement with observation. All this got confirmation in 1998 and subsequent observations have reconfirmed the findings.

  17. Community Renewable Energy Deployment: University of California...

    Open Energy Info (EERE)

    Community Renewable Energy Deployment: University of California at at Davis Project Jump to: navigation, search Name Community Renewable Energy Deployment: University of California...

  18. Vacuum quantum fluctuation energy in expanding universe and dark energy

    E-Print Network [OSTI]

    Shun-Jin Wang

    2014-10-27

    This article is based on the Planckon densely piled vacuum model and the principle of cosmology. With the Planck era as initial conditions and including the early inflation, we have solved the Einstein-Friedmann equations to describe the evolution of the universe. The results are: 1) the ratio of the dark energy density to the vacuum quantum fluctuation energy density is $\\frac{{{\\rho }_{de}}}{{{\\rho }_{vac}}}\\sim{{(\\frac{{{t}_{P}}}{{{T}_{0}}})}^{2}}\\sim{{10}^{-122}} $; 2) at the inflation time ${{t}_{\\inf }}={{10}^{-35}}s$, the calculated universe radiation energy density is $\\rho ({{t}_{\\inf }})\\sim{{10}^{-16}}{{\\rho }_{vac}}$ and the corresponding temperature is ${{E}_{c}}\\sim{{10}^{15}}GeV$ consistent with the GUT phase transition temperature; 3) the expanding universe with vacuum as its environment is a non-equilibrium open system constantly exchanging energy with vacuum; during its expansion, the Planckons in the universe lose quantum fluctuation energy and create the cosmic expansion quanta-cosmons, the energy of cosmons is the lost part of the vacuum quantum fluctuation energy and contributes to the universe energy with the calculated value ${{E}_{\\cos mos}}={{10}^{22}}{{M}_{\\otimes }}{{c}^{2}}$ (where ${{M}_{\\otimes }}$ is solar mass); 4) the total energy of the universe, namely the negative gravity energy plus the positive universe energy is zero; 5) the negative gravity potential and the gravity acceleration related to the creation of cosmons are derived with the nature of outward repulsive force, indicating that the cosmon may be the candidate of the dark energy quantum; 6) both the initial Planck era solution and the infinite asymptotic solution of the Einstein-Friedman equations are unstable: the former tends to expand and the latter tends to shrink, so that the Einstein-Friedman universe will undergo a cyclic evolution of successive expansion and shrinking.

  19. Universal thermochemical energy converter

    DOE Patents [OSTI]

    Labinov, Solomon Davidovich (Oak Ridge, TN); Sand, James R. (Oak Ridge, TN); Conklin, James C. (Knoxville, TN); VanCoevering, James (Oak Ridge, TN); Courville, George E. (Oak Ridge, TN)

    2001-01-01

    Disclosed are methods and apparatus for a thermochemical closed cycle employing a polyatomic, chemically active working fluid for converting heat energy into useful work.

  20. University of Delaware Energy Institute

    SciTech Connect (OSTI)

    Klein, Michael T

    2012-09-30

    The main goal of this project funded through this DOE grant is to help in the establishment of the University of Delaware Energy Institute (UDEI) which is designed to be a long-term, on-going project. The broad mission of UDEI is to develop collaborative programs encouraging research activities in the new and emerging energy technologies and to partner with industry and government in meeting the challenges posed by the nation�s pressing energy needs.

  1. AQUIFER THERMAL ENERGY STORAGE. A NUMERICAL SIMULATION OF AUBURN UNIVERSITY FIELD EXPERIMENTS

    E-Print Network [OSTI]

    Tsang, Chin Fu

    2013-01-01

    University Thermal Energy Storage , LBL No. 10194. Edwards,modeling of thermal energy storage in aquifers, ProceedingsAquifer Thermal Energy Storage Programs (in preparation).

  2. Universal energy diffusion in a quivering billiard

    E-Print Network [OSTI]

    Jeffery Demers; Christopher Jarzynski

    2015-09-15

    We introduce and study a model of time-dependent billiard systems with billiard boundaries undergoing infinitesimal wiggling motions. The so-called quivering billiard is simple to simulate, straightforward to analyze, and is a faithful representation of time-dependent billiards in the limit of small boundary displacements. We assert that when a billiard's wall motion approaches the quivering motion, deterministic particle dynamics become inherently stochastic. Particle ensembles in a quivering billiard are shown to evolve to a universal energy distribution through an energy diffusion process, regardless of the billiard's shape or dimensionality, and as a consequence universally display Fermi acceleration. Our model resolves a known discrepancy between the one-dimensional Fermi-Ulam model and the simplified static wall approximation. We argue that the quivering limit is the true fixed wall limit of the Fermi-Ulam model.

  3. Universal Energy | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company Jump

  4. Transition from AdS universe to DS universe in the BPP model

    E-Print Network [OSTI]

    Wontae Kim; Myungseok Yoon

    2007-03-03

    It can be shown that in the BPP model the smooth phase transition from the asymptotically decelerated AdS universe to the asymptotically accelerated DS universe is possible by solving the modified semiclassical equations of motion. This transition comes from noncommutative Poisson algebra, which gives the constant curvature scalars asymptotically. The decelerated expansion of the early universe is due to the negative energy density with the negative pressure induced by quantum back reaction, and the accelerated late-time universe comes from the positive energy and the negative pressure which behave like dark energy source in recent cosmological models.

  5. Lancaster University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas:Montezuma, Arizona: Energy Resources JumpColorado: EnergyInformationUniversity

  6. Nuclear Energy University Programs

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOEDepartmentNew2008 MEMORANDUM FOR DISTRIBUTION AofDepartment

  7. Nuclear Energy University Programs

    Energy Savers [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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties -DepartmentAvailable forSite |n t e OfficeResearch and Development

  8. Evolution of the horizons for dark energy universe

    E-Print Network [OSTI]

    Ritabrata Biswas; Nairwita Mazumder; Subenoy Chakraborty

    2011-06-12

    Recent observational evidences of accelerating phase of the universe strongly demand that the dominating matter in the universe is in the form of dark energy. In this work, we study the evolution of the apparent and event horizons for various dark energy models and examine their behavior across phantom barrier line.

  9. University of Oklahoma - High Energy Physics

    SciTech Connect (OSTI)

    Skubic, Patrick L.

    2013-07-31

    The High Energy Physics program at the University of Oklahoma, Pat Skubic, Principal Investigator, is attempting to understand nature at the deepest level using the most advanced experimental and theoretical tools. The four experimental faculty, Brad Abbott, Phil Gutierrez, Pat Skubic, and Mike Strauss, together with post-doctoral associates and graduate students, are finishing their work as part of the D0 collaboration at Fermilab, and increasingly focusing their investigations at the Large Hadron Collidor (LHC) as part of the ATLAS Collaboration. Work at the LHC has become even more exciting with the recent discovery by ATLAS and the other collaboration, CMS, of the long-sought Higgs boson, which plays a key role in generating masses for the elementary constituents of matter. Work of the OUHEP group has been in the three areas of hardware, software, and analysis. Now that the Higgs boson has been discovered, completing the Standard Model of fundamental physics, new efforts will focus on finding hints of physics beyond the standard model, such as supersymmetry. The OUHEP theory group (Kim Milton, PI) also consists of four faculty members, Howie Baer, Chung Kao, Kim Milton, and Yun Wang, and associated students and postdocs. They are involved in understanding fundamental issues in formulating theories of the microworld, and in proposing models that carry us past the Standard Model, which is an incomplete description of nature. They therefore work in close concert with their experimental colleagues. One also can study fundamental physics by looking at the large scale structure of the universe; in particular the ``dark energy'' that seems to be causing the universe to expand at an accelerating rate, effectively makes up about 3/4 of the energy in the universe, and yet is totally unidentified. Dark energy and dark matter, which together account for nearly all of the energy in the universe, are an important probe of fundamental physics at the very shortest distances, or at the very highest energies. The outcomes of the group's combined experimental and theoretical research will be an improved understanding of nature, at the highest energies reachable, from which applications to technological innovation will surely result, as they always have from such studies in the past.

  10. CAMPUS ENERGY MODEL

    Energy Science and Technology Software Center (OSTI)

    003655IBMPC00 Campus Energy Model for Control and Performance Validation  https://github.com/NREL/CampusEnergyModeling/releases/tag/v0.2.1 

  11. Validity of Thermodynamical Laws in Dark Energy Filled Universe

    E-Print Network [OSTI]

    Samarpita Bhattacharya; Ujjal Debnath

    2010-12-26

    We have considered the flat FRW model of the universe which is filled with only dark energy. The general descriptions of first and second laws of thermodynamics are investigated on the apparent horizon and event horizon of the universe. We have assumed the equation of state of three different types of dark energy models. We have examined the validity of first and second laws of thermodynamics on apparent and event horizons for these dark energies. For these dark energy models, it has been found that on the apparent horizon, first and second laws are always valid. On the event horizon, the laws are break down for dark energy models 1 and 2. For model 3, first law cannot be satisfied on the event horizon, but second law may be satisfied at the late stage of the evolution of the universe and so the validity of second law on the event horizon depends on the values of the parameters only.

  12. Colorado: Energy Modeling Products Support Energy Efficiency...

    Office of Environmental Management (EM)

    Energy Modeling Products Support Energy Efficiency Projects Colorado: Energy Modeling Products Support Energy Efficiency Projects May 1, 2014 - 11:04am Addthis Xcel Energy, a...

  13. Energy Positioning Statement Texas Tech University

    E-Print Network [OSTI]

    Zhang, Yuanlin

    Energy Positioning Statement Texas Tech University Whitacre College of Engineering The Whitacre sufficient and sustainable energy sources to power its future. The college is committed to conducting cutting edge research and providing educational programs related to traditional and unconventional energy

  14. Estimations of total mass and energy of the universe

    E-Print Network [OSTI]

    Dimitar Valev

    2010-04-07

    The recent astronomical observations indicate that the expanding universe is homogeneous, isotropic and asymptotically flat. The Euclidean geometry of the universe enables to determine the total gravitational and kinetic energy of the universe by Newtonian gravity in a flat space. By dimensional analysis, we have found the mass of the universe close to the Hoyle-Carvalho formula M ~ c^3/(GH). This value is independent from the cosmological model and infers a size (radius) of the universe close to Hubble distance. It has been shown that almost the entire kinetic energy of the universe ensues from the cosmological expansion. Both, the total gravitational and kinetic energies of the universe have been determined in relation to an observer at an arbitrary location. The relativistic calculations for total kinetic energy have been made and the dark energy has been excluded from calculations. The total mechanical energy of the universe has been found close to zero, which is a remarkable result. This result supports the conjecture that the gravitational energy of the universe is approximately balanced with its kinetic energy of the expansion.

  15. Sandia Energy - Phenomenological Modeling

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

    Phenomenological Modeling Home Stationary Power Nuclear Fuel Cycle Nuclear Energy Safety Technologies Phenomenological Modeling Phenomenological ModelingTara Camacho-Lopez2015-05-1...

  16. Uppsala University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power CompanyCROSS-VALIDATIONSt. Clair,University Jump

  17. A universal model for nanoporous carbon supercapacitors

    SciTech Connect (OSTI)

    Huang, Jingsong; Sumpter, Bobby G; Meunier, Vincent

    2009-01-01

    Supercapacitors based on nanoporous carbon materials, commonly called electric double-layer capacitors (EDLCs), are emerging as a novel type of energy-storage device with the potential to substitute batteries in applications that require high power densities. Nanoporous carbon supercapacitors are generally viewed as a parallel-plate capacitor since supercapacitors store energy by charge separation in an electric double layer formed at the electrode/electrolyte interface. The EDLC model has been used to characterize the energy storage of supercapacitors for decades. We comment in this chapter on the shortcomings of the EDLC model when applied to nanoporous carbon supercapacitors. In response to the latest experimental breakthrough in nanoporous carbon supercapacitors, we have proposed a heuristic model that takes pore curvature into account as a replacement for the EDLC model. When the pore size is in the mesopore regime (2 50 nm), electrolyte counterions enter mesoporous carbons and approach the pore wall to form an electric double-cylinder capacitor (EDCC); in the micropore regime (< 2 nm), solvated/desolvated counterions line up along the pore axis to form an electric wire-in-cylinder capacitor (EWCC). In the macropore regime (> 50 nm), where pores are large enough so that pore curvature is no longer significant, the EDCC model can be reduced to the EDLC model. With the backing of experimental data and quantum density functional theory calculations, we have shown that the EDCC/EWCC model is universal for carbon supercapacitors with diverse carbon materials and electrolytes. The strengths and limitations of this new model are discussed. The new model allows the supercapacitor properties to be correlated with pore size, specific surface area, Debye length, electrolyte concentration, dielectric constant, and solute ion size, and may lend support to the systematic optimization of the properties of carbon supercapacitors through experiments.

  18. Modeling Web Interactions Paul Graunke (Northeastern University),

    E-Print Network [OSTI]

    Tobin-Hochstadt, Sam

    Modeling Web Interactions Paul Graunke (Northeastern University), Robert Bruce Findler (University) Abstract. Programmers confront a minefield when they design interactive Web programs. Web interactions take place via Web browsers. With browsers, con- sumers can whimsically navigate among the various stages

  19. Healthcare Energy: State University of New York Upstate Medical...

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

    State University of New York Upstate Medical University East Wing Healthcare Energy: State University of New York Upstate Medical University East Wing The Building Technologies...

  20. University, Florida: Energy Resources | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPowerMichiganUniversity, Florida:

  1. Sustainable Energy Policy University Facilities (UF)

    E-Print Network [OSTI]

    Stuart, Steven J.

    . Conservation Goals It is the goal of Clemson University to reduce energy consumption per gross square foot of building space on average by 1% per year beginning July 1, 2008, with an ultimate goal of reducing energySustainable Energy Policy University Facilities (UF) POLICY 10 Effective Date: August 11, 2008 Last

  2. Electron and Photon Energy Deposition in Universe

    E-Print Network [OSTI]

    Toru Kanzaki; Masahiro Kawasaki

    2008-05-26

    We consider energy deposition of high energy electrons and photons in universe. We carry out detailed calculations of fractions of the initial energy of the injected electron or photon which are used to heat, ionize and excite background plasma in the early universe for various ionization states and redshifts.

  3. University Coal Research | Department of Energy

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

    Universities frequently win Fossil Energy research competitions or join with private companies to submit successful research proposals. Today approximately 16 percent of the Office...

  4. Energy Department Announces Finalists for National University...

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

    universities across the country to conduct cutting-edge research in geology, geoscience, chemical and bio-molecular energy, and engineering that could lead to breakthroughs in...

  5. Building Energy Modeling Library

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

    303-567-8609 April 2, 2013 Photo by : Dennis Schroeder, NREL 23250 2 | Building Technologies Office eere.energy.gov Project Overview Building Energy Modeling (BEM)...

  6. University Teams to Showcase Affordable, Energy Efficient Living...

    Office of Environmental Management (EM)

    University Teams to Showcase Affordable, Energy Efficient Living in U.S. Department of Energy Solar Decathlon 2011 University Teams to Showcase Affordable, Energy Efficient Living...

  7. Energy States of Universe and New Phantom Energy

    E-Print Network [OSTI]

    Mahgoub Salih

    2009-06-20

    Energy states of the universe is obtained when the scale factor is defined as a=At^n, and n varies as -1energy, which it`s energy density increases with time while w=-1/3 .

  8. Modelling dark energy 

    E-Print Network [OSTI]

    Jackson, Brendan Marc

    2011-11-23

    One of the most pressing, modern cosmological mysteries is the cause of the accelerated expansion of the universe. The energy density required to cause this large scale opposition to gravity is known to be both far in ...

  9. Interacting New Agegraphic Dark Energy in a Cyclic Universe

    E-Print Network [OSTI]

    Kh. Saaidi; H. Sheikhahmadi; A. H. Mohammadi

    2014-01-16

    The main goal of this work is investigation of NADE in the cyclic universe scenario. Since, cyclic universe is explained by a phantom phase ($\\omegauniverse. Therefore, we study interacting models of ADE and NADE in the modified Friedmann equation. We find out that, in the high energy regime, which it is a necessary part of cyclic universe evolution, only NADE can describe this phantom phase era for cyclic universe. Considering deceleration parameter tells us that the universe has a deceleration phase after an acceleration phase, and NADE is able to produce a cyclic universe. Also it is found valuable to study generalized second law of thermodynamics. Since the loop quantum correction is taken account in high energy regime, it may not be suitable to use standard treatment of thermodynamics, so we turn our attention to the result of \\citep{29}, which the authors have studied thermodynamics in loop quantum gravity, and we show that which condition can satisfy generalized second law of thermodynamics.

  10. Energy Distribution in Melvin's Magnetic Universe

    E-Print Network [OSTI]

    S. S. Xulu

    1999-12-22

    We use the energy-momentum complexes of Landau and Lifshitz and Papapetrou to obtain the energy distribution in Melvin's magnetic universe. For this space-time we find that these definitions of energy give the same and convincing results. The energy distribution obtained here is the same as we obtained earlier for the same space-time using the energy-momentum complex of Einstein. These results uphold the usefulness of the energy-momentum complexes.

  11. Sandia Energy - Theory & Modeling

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

    Theory & Modeling Home Transportation Energy Predictive Simulation of Engines Combustion Chemistry Theory & Modeling Theory & ModelingAshley Otero2015-10-28T02:44:07+00:00 The CRF...

  12. Interacting Induced Dark Energy Model

    E-Print Network [OSTI]

    Bahrehbakhsh, Amir F

    2016-01-01

    Similar to the idea of the brane world scenarios, but based on the approach of the induced matter theory, for a non--vacuum five--dimensional version of general relativity, we propose a model in which the conventional matter sources considered as all kind of the matter (the baryonic and dark) and the induced terms emerging from the extra dimension supposed to be as dark energy. Then we investigate the FLRW type cosmological equations and illustrate that the model is capable to explain respectively the deceleration and then acceleration eras of the universe expansion with an interacting term between the matter and dark energy.

  13. Emergent Universe and Phantom Tachyon Model

    E-Print Network [OSTI]

    Ujjal Debnath

    2008-08-18

    In this work, I have considered that the universe is filled with normal matter and phantom field (or tachyonic field). If the universe is filled with scalar field, Ellis et al have shown that emergent scenario is possible only for $k=+1$ i.e. for closed universe and here I have shown that the emergent scenario is possible for closed universe if the universe contains normal tachyonic field. But for phantom field (or tachyonic field), the negative kinetic term can generate the emergent scenario for all values of $k ~(=0,\\pm 1)$. From recently developed statefinder parameters, the behaviour of different stages of the evolution of the emergent universe have been studied. The static Einstein universe and the stability analysis have been briefly discussed for both phantom and tachyon models.

  14. UCDavis University of California A California Energy

    E-Print Network [OSTI]

    California at Davis, University of

    Francisco 20% have a garage · About 50% of USA, California new car buyers have a stable parking spot 25 feetUCDavis University of California A California Energy Commission Public Interest Energy Research · Fleet Operation · Energy Savings Battery studies · Benchmark Testing · 2nd use · End of life Spatial

  15. Energy Department And University of California Extend Management...

    National Nuclear Security Administration (NNSA)

    Apply for Our Jobs Our Jobs Working at NNSA Blog Home Media Room Press Releases Energy Department And University of California Extend ... Energy Department And University of...

  16. Secretary Chu Announces Nuclear Energy University Program Awards...

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

    Secretary Chu Announces Nuclear Energy University Program Awards Secretary Chu Announces Nuclear Energy University Program Awards June 16, 2009 - 12:00am Addthis WASHINGTON, DC -...

  17. Renewable-Based Energy Secure Communities (RESCOs) University...

    Open Energy Info (EERE)

    Renewable-Based Energy Secure Communities (RESCOs) University of California, Merced Jump to: navigation, search Name Renewable-Based Energy Secure Communities (RESCOs) University...

  18. NREL, Clemson University Collaborate on Wind Energy Testing Facilities...

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

    NREL, Clemson University Collaborate on Wind Energy Testing Facilities NREL, Clemson University Collaborate on Wind Energy Testing Facilities September 16, 2015 - 6:55pm Addthis A...

  19. Department of Energy Cites Stanford University for Worker Safety...

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

    Department of Energy Cites Stanford University for Worker Safety and Health Violations Department of Energy Cites Stanford University for Worker Safety and Health Violations...

  20. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive Anthony L. Rogers April 4, 2005 #12;April 4, 2005 Renewable Energy Research Laboratory Page 1 University

  1. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive Renewable Energy Research Laboratory Page 1 University of Massachusetts, Amherst Amherst, MA 01003 TABLE

  2. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive October 12, 2004 #12;October 12, 2004 Renewable Energy Research Laboratory Page 1 University

  3. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive version 1.1 #12;September 24, 2004 Renewable Energy Research Laboratory Page 1 University of Massachusetts

  4. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive. Rogers April 4, 2005 #12;April 4, 2005 Renewable Energy Research Laboratory Page 1 University

  5. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive, 2004 Renewable Energy Research Laboratory Page 1 University of Massachusetts, Amherst Amherst, MA 01003

  6. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive;October 12, 2004 Renewable Energy Research Laboratory Page 1 University of Massachusetts, Amherst Amherst

  7. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive;December 2, 2004 Renewable Energy Research Laboratory Page 1 University of Massachusetts, Amherst Amherst

  8. Energy Department Recognizes University of Utah in Better Buildings...

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

    Energy Department Recognizes University of Utah in Better Buildings Challenge Energy Department Recognizes University of Utah in Better Buildings Challenge September 4, 2014 -...

  9. Celeste: A New Model for Cataloging the Universe

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

    Celeste: A New Model for Cataloging the Universe Celeste: A New Model for Cataloging the Universe MANTISSA Collaboration Uses Statistical Inference to Revolutionize Sky Surveys...

  10. Building Energy Modeling Insights | Department of Energy

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

    RSS Welcome to the Building Technologies Office's Building Energy Modeling blog. September 3, 2015 Unmet Hours is a question-and-answer resource for the building energy modeling...

  11. N + 1 dimensional quantum mechanical model for a closed universe

    E-Print Network [OSTI]

    T. R. Mongan

    1999-02-10

    A quantum mechanical model for an N + 1 dimensional universe arising from a quantum fluctuation is outlined. (3 + 1) dimensions are a closed infinitely-expanding universe and the remaining N - 3 dimensions are compact. The (3 + 1) non-compact dimensions are modeled by quantizing a canonical Hamiltonian description of a homogeneous isotropic universe. It is assumed gravity and the strong-electro-weak (SEW) forces had equal strength in the initial state. Inflation occurred when the compact N -3 dimensional space collapsed after a quantum transition from the initial state of the univers, during its evolution to the present state where gravity is much weaker than the SEW force. The model suggests the universe has no singularities and the large size of our present universe is determined by the relative strength of gravity and the SEW force today. A small cosmological constant, resulting from the zero point energy of the scalar field corresponding to the compact dimensions, makes the model universe expand forever.

  12. Simulation of the Post-Retrofit Thermal Energy Use for the University Teaching Center (UTC) Building with the Use of Simplified System Models 

    E-Print Network [OSTI]

    Katipamula, S.; Claridge, D. E.

    1991-01-01

    from energy conserving retrofits relies on the use of a model for the daily whole building consumption, Epre, in the pre-retrofit configuration. Epre is typically a function of primary influencing parameters such as ambient temperature, humidity...

  13. Dark Energy and the Return of the Phoenix Universe

    E-Print Network [OSTI]

    Jean-Luc Lehners; Paul J. Steinhardt

    2008-12-17

    In cyclic universe models based on a single scalar field (e.g., the radion determining the distance between branes in M-theory), virtually the entire universe makes it through the ekpyrotic smoothing and flattening phase, bounces, and enters a new epoch of expansion and cooling. This stable evolution cannot occur, however, if scale-invariant curvature perturbations are produced by the entropic mechanism because it requires two scalar fields (e.g., the radion and the Calabi-Yau dilaton) evolving along an unstable classical trajectory. In fact, we show here that an overwhelming fraction of the universe fails to make it through the ekpyrotic phase; nevertheless, a sufficient volume survives and cycling continues forever provided the dark energy phase of the cycle lasts long enough, of order a trillion years. Two consequences are a new role for dark energy and a global structure of the universe radically different from that of eternal inflation.

  14. Bucknell University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine: EnergyEnergyOhio: Energy ResourcesSilicon BeSi

  15. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive;January 16, 2007 Renewable Energy Research Laboratory Page 1 University of Massachusetts, Amherst Amherst, MA 01003 NOTICE AND ACKNOWLEDGEMENTS This report was prepared by the Renewable Energy Research

  16. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive. Ellis February 28, 2008 #12;February 28, 2008 Renewable Energy Research Laboratory Page 1 University work sponsored by the Renewable Energy Trust (RET), as administered by the Massachusetts Technology

  17. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive work sponsored by the Renewable Energy Trust (RET), as administered by the Massachusetts Technology 18, 2008 Renewable Energy Research Laboratory Page 1 University of Massachusetts, Amherst Amherst, MA

  18. Napier University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation,MeregNIFESpinning Mills LtdNanotecture LtdUniversity Jump

  19. Universal asymptotic umbrella for hydraulic fracture modeling

    E-Print Network [OSTI]

    Linkov, Aleksandr M

    2014-01-01

    The paper presents universal asymptotic solution needed for efficient modeling of hydraulic fractures. We show that when neglecting the lag, there is universal asymptotic equation for the near-front opening. It appears that apart from the mechanical properties of fluid and rock, the asymptotic opening depends merely on the local speed of fracture propagation. This implies that, on one hand, the global problem is ill-posed, when trying to solve it as a boundary value problem under a fixed position of the front. On the other hand, when properly used, the universal asymptotics drastically facilitates solving hydraulic fracture problems (both analytically and numerically). We derive simple universal asymptotics and comment on their employment for efficient numerical simulation of hydraulic fractures, in particular, by well-established Level Set and Fast Marching Methods.

  20. $5D$ Solutions to $?$CDM Universe Derived from Global Brane Model

    E-Print Network [OSTI]

    Yongli Ping; Lixin Xu; Baorong Chang; Molin Liu; Hongya Liu

    2008-01-20

    An exact solution of brane universe is studied and the result indicates that Friedmann equations on the brane are modified with an extra term. This term can play the role of dark energy and make the universe accelerate. In order to derive the $\\Lambda$CDM Universe from this global brane model, the new solutions are obtained to describe the $5D$ manifold.

  1. Nuclear Energy University Program: A Presentation to Vice Presidents...

    Energy Savers [EERE]

    Nuclear Energy University Program: A Presentation to Vice Presidents of Research and Development of Historically Black Colleges and Universities, given by the Office of Nuclear...

  2. Department of Energy Cites the University of California and Pacific...

    Office of Environmental Management (EM)

    the University of California and Pacific Data Electric, Inc., for Worker Safety and Health Program Violations Department of Energy Cites the University of California and Pacific...

  3. Accurate Modeling and Prediction of Energy Availability in Energy Harvesting Real-Time Embedded Systems

    E-Print Network [OSTI]

    Qiu, Qinru

    Binghamton University, State University of New York Binghamton, New York, USA {jlu5, sliu5, qwu, qqiuAccurate Modeling and Prediction of Energy Availability in Energy Harvesting Real-Time Embedded}@binghamton.edu Abstract -- Energy availability is the primary subject that drives the research innovations in energy

  4. Overview of the Duke University Bass Connections Program in Industrial Energy Efficiency 

    E-Print Network [OSTI]

    Boyd, G.

    2014-01-01

    Team List ? Energy and the Environment: Design and Innovation ? Distributed Solar Generation for Duke University Employees ? The University as a Laboratory for Smart Grid Data Analytics ? Regulatory Disaster Scene Investigation ? LIT HoMES (Leveraging... Individual Transitions into Homeownership to Motivate Energy Savings) ? Exploring the Intersection of Energy and Peace-building through Film (2014-2015) ? Modeling Tools for Energy Systems Analysis (MOTESA) (2014- 2015) ? Energy Efficiency in Industry...

  5. Split University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren) Jump to:Spill Prevention and Response WebsiteSolar

  6. Nuclear Energy University Program | 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 on Delicious Rank EERE: Alternative Fuelsof EnergyApril 2014Department ofWind Career MapPowerHydrogenNowEnablingEnergy

  7. AVCEM: Advanced-Vehicle Cost and Energy Use Model

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01

    California 95616 PHONE: WEB: FAX: http://its.ucdavis.edu/ AVCEM: ADVANCED-VEHICLE COST AND ENERGY-Cost and Energy Use Model Overview of AVCEM Mark A. Delucchi Institute of Transportation Studies ? University of California,

  8. Solar energy research at Princeton University Universities today bear the same responsibility to confront environmental challenges

    E-Print Network [OSTI]

    Solar energy research at Princeton University Universities today bear the same responsibility, campus- based research projects are increasingly being integrated into courses, the results of which, but they can make unique contributions through research, teaching, and student initiatives. Universities also

  9. Cornell University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar EnergyLawler,CoalConcordiaConsumer ConnectionCoral Power LLCCornell

  10. University of Arizona Compressed Air Energy Storage

    SciTech Connect (OSTI)

    Simmons, Joseph; Muralidharan, Krishna

    2012-12-31

    Boiled down to its essentials, the grant’s purpose was to develop and demonstrate the viability of compressed air energy storage (CAES) for use in renewable energy development. While everyone agrees that energy storage is the key component to enable widespread adoption of renewable energy sources, the development of a viable scalable technology has been missing. The Department of Energy has focused on expanded battery research and improved forecasting, and the utilities have deployed renewable energy resources only to the extent of satisfying Renewable Portfolio Standards. The lack of dispatchability of solar and wind-based electricity generation has drastically increased the cost of operation with these components. It is now clear that energy storage coupled with accurate solar and wind forecasting make up the only combination that can succeed in dispatchable renewable energy resources. Conventional batteries scale linearly in size, so the price becomes a barrier for large systems. Flow batteries scale sub-linearly and promise to be useful if their performance can be shown to provide sufficient support for solar and wind-base electricity generation resources. Compressed air energy storage provides the most desirable answer in terms of scalability and performance in all areas except efficiency. With the support of the DOE, Tucson Electric Power and Science Foundation Arizona, the Arizona Research Institute for Solar Energy (AzRISE) at the University of Arizona has had the opportunity to investigate CAES as a potential energy storage resource.

  11. Sandia Energy - Reference Model Documents

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

    Documents Home Stationary Power Energy Conversion Efficiency Water Power Reference Model Project (RMP) Reference Model Documents Reference Model DocumentsTara Camacho-Lopez2015-05-...

  12. Sandia Energy - Extreme Conditions Modeling

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

    Extreme Conditions Modeling Home Stationary Power Energy Conversion Efficiency Water Power Technology Development Extreme Conditions Modeling Extreme Conditions ModelingAshley...

  13. West University Place, Texas: Energy Resources | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia: Energy ResourcesTurin, New York: Energy Resources JumpUniversity

  14. Purdue University Energy Center | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg,Energy LLCALLETE Inc dEAPrysmian JumpOpenformerly

  15. The Energy Density of the Quaternionic Field as Dark Energy in the Universe

    E-Print Network [OSTI]

    V. Majernik

    2003-11-06

    In this article we describe a model of the universe consisting of a mixture of the ordinary matter and a so-called cosmic quaternionic field. The basic idea here consists in an attempt to interpret $\\Lambda$ as the energy density of the quaternionic field whose source is any form of energy including the proper energy density of this field. We set the energy density of this field to $\\Lambda$ and show that the ratio of ordinary dark matter energy density assigned to $\\Lambda$ is constant during the cosmic evolution. We investigate the interaction of the quaternionic field with the ordinary dark matter and show that this field exerts a force on the moving dark matter which might possible create the dark matter in the early universe. Such determined $\\Lambda$ fulfils the requirements asked from the dark energy. In this model of the universe, the cosmical constant, the fine-tuning and the age problems might be solved. Finally, we sketch the evolution of the universe with the cosmic quaternionic field and show that the energy density of the cosmic quaternionic field might be a possible candidate for the dark energy.

  16. DOE Selects 26 Universities to Assess Industrial Energy Efficiency...

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

    DOE Selects 26 Universities to Assess Industrial Energy Efficiency DOE Selects 26 Universities to Assess Industrial Energy Efficiency July 24, 2006 - 4:32pm Addthis Smart use of...

  17. Energy Sustainability: Role of Makerere University inRole of Makerere University in

    E-Print Network [OSTI]

    Huang, Xun

    Energy Sustainability: Role of Makerere University inRole of Makerere University in Facing a eas · More information: http://mak.ac.ug; www.cit.mak.ac.ug #12;Sustainability of Energy in UgandaSustainability of Energy in Uganda · Research at CIT· Research at CIT · Energy challenges in Uganda: prices of energy

  18. Duke University: Improving the Campus While Saving Energy

    SciTech Connect (OSTI)

    2003-11-01

    This is a fact sheet that describes the efforts of Duke University to reduce energy and water waste on campus.

  19. University of Colorado at Boulder Renewable and Sustainable Energy...

    Open Energy Info (EERE)

    University of Colorado at Boulder Renewable and Sustainable Energy Institute Jump to: navigation, search Logo: CU-Boulder Renewable and Sustainable Energy Institute Name:...

  20. Southern Oregon University Highlighted by U.S. Energy Department...

    Energy Savers [EERE]

    investments by Southern Oregon University (SOU). The school's investments in renewable energy, sustainability, and purchasing Renewable Energy Certificates (RECs) are benefiting...

  1. Tool Kit Framework: Small Town University Energy Program (STEP)

    Broader source: Energy.gov [DOE]

    Tool Kit Framework: Small Town University Energy Program (STEP), as posted on the U.S. Department of Energy's Better Buildings Neighborhood Program website.

  2. China Solar Energy Ltd Tianpu Xianxing Group aka Beijing Universal...

    Open Energy Info (EERE)

    China Solar Energy Ltd Tianpu Xianxing Group aka Beijing Universal Antecedence Jump to: navigation, search Name: China Solar Energy Ltd (Tianpu Xianxing Group, aka Beijing...

  3. University of Minnesota Morris Clean Energy Investments Recognized...

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

    of Minnesota Morris Clean Energy Investments Recognized by U.S. Department of Energy University of Minnesota Morris Clean Energy Investments Recognized by U.S. Department of Energy...

  4. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive Renewable Energy Research Laboratory Page 1 University of Massachusetts, Amherst Amherst, MA 01003 NOTICE AND ACKNOWLEDGEMENTS This report was prepared by the Renewable Energy Research Laboratory (RERL) at the University

  5. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive. Ray January 5, 2005 #12;Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 AND ACKNOWLEDGMENTS This report was prepared by the Renewable Energy Research Laboratory (RERL) at the University

  6. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive;10/28/2008 Renewable Energy Research Laboratory Page 1 University of Massachusetts, Amherst Amherst, MA 01003 NOTICE AND ACKNOWLEDGEMENTS This report was prepared by the Renewable Energy Research Laboratory (RERL) at the University

  7. Washington State University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarren Park,| OpenInformation EnergyUniversity Jump

  8. A Dark Energy Model in Lyra Manifold

    E-Print Network [OSTI]

    Hoavo Hova

    2012-04-11

    We consider, in normal-gauge Lyra's geometry, evolution of a homogeneous isotropic universe in a gravitational model involving only the standard matter in interaction with a displacement vector field $\\phi_{\\mu}$. Considering both constant and time-dependent displacement vector field we show that the observed cosmic acceleration could be explained without considering an alien energy component with a negative pressure.

  9. A Dark Energy Model in Lyra Manifold

    E-Print Network [OSTI]

    Hova, Hoavo

    2012-01-01

    We consider, in normal-gauge Lyra's geometry, evolution of a homogeneous isotropic universe in a gravitational model involving only the standard matter in interaction with a displacement vector field $\\phi_{\\mu}$. Considering both constant and time-dependent displacement vector field we show that the observed cosmic acceleration could be explained without considering an alien energy component with a negative pressure.

  10. Decrumpling or TVSD model explains why the universe is accelerating today

    E-Print Network [OSTI]

    Forough Nasseri

    2006-01-25

    Within the framework of a model universe with time variable space dimension (TVSD), known as decrumpling or TVSD model, we show the present value of the deceleration parameter is negative implying that the universe is accelerating today. Our study is based on a flat universe with the equation of state parameter to be $\\omega(z=0) \\approx -1$ today. More clearly, decrumpling model tells us the universe is accelerating today due to the cosmological constant which is the simplest candidate for the dark energy.

  11. Sandia Energy - Modeling

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid ActionModeling HomeModeling

  12. MyEnergy's Universal Green Button | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: EnergyInformationOliver,Minnesota: EnergyMustang,MyEnergy's Universal Green

  13. Interacting generalized Chaplygin gas model in non-flat universe

    E-Print Network [OSTI]

    M R Setare

    2007-11-04

    We employ the generalized Chaplygin gas of interacting dark energy to obtain the equation of state for the generalized Chaplygin gas energy density in non-flat universe. By choosing a negative value for $B$ we see that $w_{\\rm \\Lambda}^{eff}universe dominated by phantom dark energy.

  14. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive Anthony F. Ellis Anthony Rogers Kai Wu September 15, 2004 #12;September 15, 2004 Renewable Energy Research........................................................................................................................ 18 #12;September 15, 2004 Renewable Energy Re

  15. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive. Manwell Anthony F. Ellis Anthony Rogers October 18, 2004 #12;October 18, 2004 Renewable Energy Research........................................................................................................................ 18 #12;October 18, 2004 Renewable Energy Resear

  16. Universal Carbon Credits Limited | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company Jump to:AssociationOregon:Universal

  17. Colorado State University Hydrodynamics | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar EnergyLawler,Coal TechnologiesClio Power LtdCountyNationsUniversity

  18. Pennsylvania State University Hydrodynamics | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg,Energy LLC Jump to:3 ofAltos delValleyYork)State University

  19. The University of Wisconsin | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJ AutomationTexas/Wind ResourcesProgramSulFeroxOpen EnergyUniversity

  20. West Virginia University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland:EnergyWeVirginia University Jump to: navigation,

  1. California State University CSU | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine:Kansas: EnergyCalendarCalhounWebpageProject |University CSU Jump to:

  2. Colorado State University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower Ventures Jump to: navigation,EnergyColoradoBank andUniversity Jump to:

  3. University Coal Research | Department of Energy

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S.Laclede GasEfficiency|Feed|DepartmentThe United States and JapanUniversities

  4. Property:CSC-University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformationEnergyReportNumber Jump to: navigation, search ThisUniversity Jump

  5. The Case for Efficient Renewable Energy Management in Smart Binghamton University

    E-Print Network [OSTI]

    Shenoy, Prashant

    The Case for Efficient Renewable Energy Management in Smart Homes Ting Zhu Binghamton University that combines residential TOU pricing models with on-site renewables and modest energy storage to incentivize DG. We propose a system architecture and control algorithm to efficiently manage the renewable energy

  6. Energy efficiency at the University of Miami

    SciTech Connect (OSTI)

    Atherton, V.; Anzoategui, F.

    1996-07-01

    The University of Miami (UM) has embarked on a very important and worthwhile mission: ``To make UM one of the most energy efficient universities in the nation by the year 2000``. In order for the University to meet this goal the authors knew they would need to take advantage of all the available technologies and address the freon issues. In June 1990 the Coral Gables Campus had five chilled Water Production Plants, each representing small independent systems serving from four to ten buildings. Because of energy conservation measures of the past, each plant had excess capacity. At that time they also had identified about 600 tons of old falling-apart air conditioning equipment. The Capital Construction Program was beginning design efforts for a new Music Recital Hall and an addition to the Law Library. With all this considered it made sense to develop a common chilled water loop to connect these plants and provide a vehicle to capitalize on available capacity. In early 1991 Florida Power and Light offered a new CILC rate with criteria that the chilled water plants met. It allowed them to produce air conditioning at 5.8 cents a kWh, compared to 7.5 cents a kWh, at the buildings. This, added to the reality of not having to maintain or replace the old systems, made this the number 1 priority project. They were convinced that this could give them a competitive edge over other institutions because it insured that they could produce air conditioning at the least cost per square foot.

  7. Energy conservation at The University of Miami

    SciTech Connect (OSTI)

    Atherton, V.; Anzoategui, F.

    1995-06-01

    The University of Miami (UM) has embarked on a very important and worthwhile mission: {open_quotes}To make UM one of the most energy efficient Universities in the Nation by the year 2000.{close_quotes} In order for the University to meet this goal we knew we would need to take advantage of all the available technologies and address the freon issues. In June 1990 the Coral Gables Campus had five chilled Water Production Plants, each representing small independent systems serving from four to ten buildings. Because of energy conservation measures of the past (i.e. elimination, reheat, first generation lighting retrofits, and some diversity), each plant had excess capacity. At that time we also had identified about 600 tons of old falling apart air conditioning equipment. Our Capital Construction Program was beginning design efforts for a new Music Recital Hall and an addition to the Law Library. With all this considered it made sense to develop a common chilled water loop to connect these plants and provide a vehicle to capitalize on available capacity. As this concept took shape it became evident that a master chilled water loop encircling the entire campus would address the next 20 years of campus development. This 20 year plan would require various phases of development. Phase I would connect three chilled water production plants and enable us to supply chilled water to seven existing facilities with approximately 600 tons of old inefficient air conditioning equipment and supply chilled water to the new Law and Music facilities, (approximately 400 tons) without buying any additional chillers.

  8. Medium Energy Nuclear Physics Research at the University of Richmond

    E-Print Network [OSTI]

    Gilfoyle, Jerry

    Medium Energy Nuclear Physics Research at the University of Richmond G. P. Gilfoyle Physics Physics: Medium Energy Nuclear Physics Program Program Manager: Dr. Gulshan Rai 1 #12;2 #12;Contents 1 Justification 39 3 #12;4 #12;Medium Energy Nuclear Physics Research at the University of Richmond G. P. Gilfoyle

  9. University of Oxford Energy Toolkit2011/12

    E-Print Network [OSTI]

    Melham, Tom

    's Carbon Management Strategy go to: www.admin.ox.ac.uk/estates/environment/energy/ carbonmanagementstrategyUniversity of Oxford Energy Toolkit2011/12 www.admin.ox.ac.uk/estates/environment/energy emissions through our carbon management strategy. It is now even more important that the University acts

  10. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive Anthony F. Ellis April 19, 2006 Report template version 1.3 #12;April 19, 2006 Renewable Energy Research This report was prepared by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts

  11. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive was prepared by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts, Amherst contained, described, disclosed, or referred to in this report. July 24, 2009 Renewable Energy Research

  12. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive April 13, 2006 Report template version 2.0 #12;April 13, 2006 Renewable Energy Research Laboratory Page was prepared by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts, Amherst

  13. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive. Ellis August 21, 2008 Report template version 3.1 #12;August 21, 2008 Renewable Energy Research This report was prepared by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts

  14. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts, Amherst in the course, disclosed, or referred to in this report. November 11, 2009 Renewable Energy Research Laboratory Page 1

  15. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive Anthony F. Ellis April 10, 2008 Report template version 3.1 #12;April 10, 2008 Renewable Energy Research This report was prepared by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts

  16. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts, Amherst in the course of performing work sponsored by the Renewable Energy Trust (RET), as administered by the Massachusetts

  17. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts, Amherst in the course, disclosed, or referred to in this report. June 12, 2009 Renewable Energy Research Laboratory Page 1

  18. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive Abdulwahid Anthony F. Ellis July 18, 2008 Report template version 3.1 #12;July 18, 2008 Renewable Energy AND ACKNOWLEDGEMENTS This report was prepared by the Renewable Energy Research Laboratory (RERL) at the University

  19. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive AND ACKNOWLEDGEMENTS This report was prepared by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts, Amherst in the course of performing work sponsored by the Renewable Energy Trust (RET

  20. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive Report template version 1.3 #12;April 3, 2006 Renewable Energy Research Laboratory Page 1 University work sponsored by the Renewable Energy Trust (RET), as administered by the Massachusetts Technology

  1. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive;January 20, 2005 Renewable Energy Research Laboratory Page 1 University of Massachusetts, Amherst Amherst, MA 01003 NOTICE AND ACKNOWLEDGE7MENTS This report was prepared by the Renewable Energy Research

  2. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive F. Ellis July 21, 2008 Report template version 3.1 #12;July 21, 2008 Renewable Energy Research This report was prepared by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts

  3. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts, Amherst in the course, disclosed, or referred to in this report. July 17, 2009 Renewable Energy Research Laboratory Page 1

  4. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive 20, 2005 #12;January 20, 2005 Renewable Energy Research Laboratory Page 1 University of Massachusetts, Amherst Amherst, MA 01003 NOTICE AND ACKNOWLEDGEMENTS This report was prepared by the Renewable Energy

  5. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive was prepared by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts, Amherst contained, described, disclosed, or referred to in this report. July 17, 2009 Renewable Energy Research

  6. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive Report template version 3.1.1 #12;November 20, 2007 Renewable Energy Research Laboratory Page 1 by the Renewable Energy Research Laboratory (RERL) at the University of Massachusetts, Amherst in the course

  7. Sandia Energy - Modeling

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid ActionModeling Home

  8. Energy Department Announces New University-Led Projects to Create...

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

    new, molten salt-based, fluids as possible alternatives to traditional heat transfer fluids. These investments are part of the Energy Department's Multidisciplinary University...

  9. At Hampton University, Energy Sec. Moniz to Echo President's...

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

    historically black universities and a leader in science, technology, engineering and math (STEM) education. Following the visit to the Department of Energy's Thomas Jefferson...

  10. Energy Department Announces $4 Million for University Consortium...

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

    research universities in the effort to accelerate the development of the emerging marine and hydrokinetic (MHK) energy industry in the United States. This funding will support...

  11. University Park Data Dashboard | Department of Energy

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

    data dashboard for University Park, Maryland, a partner in the Better Buildings Neighborhood Program. University Park Data Dashboard More Documents & Publications Massachusetts --...

  12. Alternative Dark Energy Models: An Overview

    E-Print Network [OSTI]

    J. A. S. Lima

    2004-02-04

    A large number of recent observational data strongly suggest that we live in a flat, accelerating Universe composed of $\\sim$ 1/3 of matter (baryonic + dark) and $\\sim$ 2/3 of an exotic component with large negative pressure, usually named {\\bf Dark Energy} or {\\bf Quintessence}. The basic set of experiments includes: observations from SNe Ia, CMB anisotropies, large scale structure, X-ray data from galaxy clusters, age estimates of globular clusters and old high redshift galaxies (OHRG's). Such results seem to provide the remaining piece of information connecting the inflationary flatness prediction ($\\Omega_{\\rm{T}} = 1$) with astronomical observations. Theoretically, they have also stimulated the current interest for more general models containing an extra component describing this unknown dark energy, and simultaneously accounting for the present accelerating stage of the Universe. An overlook in the literature shows that at least five dark energy candidates have been proposed in the context of general relativistic models. Since the cosmological constant and rolling scalar field models have already been extensively discussed, in this short review we focus our attention to the three remaining candidates, namely: a decaying vacuum energy density (or ${\\bf \\Lambda(t)}$ {\\bf models}), the {\\bf X-matter}, and the so-called {\\bf Chaplygin-type gas}. A summary of their main results is given and some difficulties underlying the emerging dark energy paradigm are also briefly examined.

  13. Inhomogeneities in dusty universe - a possible alternative to dark energy?

    E-Print Network [OSTI]

    Chatterjee, S

    2010-01-01

    There have been of late renewed debates on the role of inhomogeneities to explain the observed late acceleration of the universe. We have looked into the problem analytically with the help of the well known spherically symmetric but inhomogeneous Lemaitre-Tolman-Bondi(LTB) model generalised to higher dimensions. It is observed that in contrast to the claim made by Kolb et al the presence of inhomogeneities as well as extra dimensions can not reverse the signature of the deceleration parameter if the matter field obeys the energy conditions. The well known Raychaudhuri equation also points to the same result. Without solving the field equations explicitly it can, however, be shown that although the total deceleration is positive everywhere nevertheless it does not exclude the possibility of having radial acceleration, even in the pure dust universe, if the angular scale factor is decelerating fast enough and vice versa. Moreover it is found that introduction of extra dimensions can not reverse the scenario. To...

  14. Using Time Drift of Cosmological Redshifts to find the Mass-Energy Density of the Universe

    E-Print Network [OSTI]

    M. E. Araujo; W. R. Stoeger

    2010-09-14

    In this paper we show that the mass-energy density of the Universe can be fully determined in terms of the cosmological redshifts, their time drifts and angular-diameter distance (observer area distance). Besides providing an indirect measurement of the mass-energy density of the Universe, we show how one can use the time-drift of the cosmological redshifts as a replacement for the mass-energy density element in the minimally required data set to construct an spherically symmetric Lema\\^{\\i}tre-Tolman-Bondi (LTB) model for the Universe in observational coordinates.

  15. LOCALIZATION AND ENERGY MODELING IN WIRELESS SENSOR Ali Shareef

    E-Print Network [OSTI]

    Zhu, Yifeng

    components of a sensor node, including processors with emerging energy-saving features, wireless energy-saving strategies in WSN. For example, it can be demonstrated that by carefully selectingLOCALIZATION AND ENERGY MODELING IN WIRELESS SENSOR NETWORKS By Ali Shareef B.S. Purdue University

  16. An Energy Complexity Model for Algorithms Swapnoneel Roy

    E-Print Network [OSTI]

    Rudra,, Atri

    An Energy Complexity Model for Algorithms Swapnoneel Roy Department of CSE University at Buffalo@in.ibm.com ABSTRACT Energy consumption has emerged as first class computing resource for both server systems and personal computing de- vices. The growing importance of energy has led to rethink in hardware design

  17. ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL

    E-Print Network [OSTI]

    furnace emissions to 2050. Despite insufficient variation in energy prices over the historical periodESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL by Dale Beugin B.A.Sc., University Degree: Master of Resource Management Title of Thesis: Estimating Consumer Behaviour in an Energy

  18. Inventory of state energy models

    SciTech Connect (OSTI)

    Melcher, A.G.; Gist, R.L.; Underwood, R.G.; Weber, J.C.

    1980-03-31

    These models address a variety of purposes, such as supply or demand of energy or of certain types of energy, emergency management of energy, conservation in end uses of energy, and economic factors. Fifty-one models are briefly described as to: purpose; energy system; applications;status; validation; outputs by sector, energy type, economic and physical units, geographic area, and time frame; structure and modeling techniques; submodels; working assumptions; inputs; data sources; related models; costs; references; and contacts. Discussions in the report include: project purposes and methods of research, state energy modeling in general, model types and terminology, and Federal legislation to which state modeling is relevant. Also, a state-by-state listing of modeling efforts is provided and other model inventories are identified. The report includes a brief encylopedia of terms used in energy models. It is assumed that many readers of the report will not be experienced in the technical aspects of modeling. The project was accomplished by telephone conversations and document review by a team from the Colorado School of Mines Research Institute and the faculty of the Colorado School of Mines. A Technical Committee (listed in the report) provided advice during the course of the project.

  19. UNIVERSITY OF CALGARY Modeling Fracture Formation on Growing Surfaces

    E-Print Network [OSTI]

    Prusinkiewicz, Przemyslaw

    UNIVERSITY OF CALGARY Modeling Fracture Formation on Growing Surfaces by Pavol Federl A THESIS Fracture Formation on Growing Surfaces" submitted by Pavol Federl in partial fulfillment This thesis describes a framework for modeling fracture formation on differentially growing, bi- layered

  20. Sandia Energy - Severe Accident Modeling

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

    nuclear energy efforts by developing risk margins, creating risk assessments, sequencing nuclear reactor accident progression, and performing reactor consequence modeling. Severe...

  1. Instability Model of the Universe with De Sitter Beginning

    E-Print Network [OSTI]

    Yurii Ignat'ev

    2015-08-21

    The physical instability of the Universe model with de Sitter beginning is proved in this article. 1. It is shown that even a small addition of ultrarelativistic matter turns the de Sitter Universe into the Universe with finite past. 2. Constant solution of equation of model with constant scalar field is shown to be instable. 3. It is also shown that lateral gravitational perturbations of such model make it instable near of cosmological singularity. The conclusion is made that de Sitter stage of the Universe evolution most likely should be preceded by the ultrarelativistic stage.

  2. Managing Director, Massachusetts Energy Extension Initiative University of Massachusetts Amherst

    E-Print Network [OSTI]

    Schweik, Charles M.

    Managing Director, Massachusetts Energy Extension Initiative University of Massachusetts Amherst a track record in a public or private setting related to energy. The Managing Director will focus The University of Massachusetts Amherst invites applications for the Managing Director of the Massachusetts

  3. Sandia Energy - Sandia, NREL Release Wave Energy Converter Modeling...

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

    Release Wave Energy Converter Modeling and Simulation Code: WEC-Sim Home Renewable Energy Energy Water Power Partnership News News & Events Computational Modeling & Simulation...

  4. Observations and Modeling of the Green Ocean Amazon (GoAmazon2014) PI: Scot T. Martin, Harvard University Funding Agency: Department of Energy

    E-Print Network [OSTI]

    to the following more detailed descriptions: Carbon Cycle - improve Community Earth System Model (CESM) for land

  5. Sandia Energy - Sandia's Work with Texas Southern University...

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

    Sandia's Work with Texas Southern University Cited by Representative Sheila Jackson Lee Home Infrastructure Security Facilities Partnership News NISAC News & Events Modeling...

  6. Conformal Higgs model: predicted dark energy density

    E-Print Network [OSTI]

    R. K. Nesbet

    2014-11-03

    Postulated universal Weyl conformal scaling symmetry provides an alternative to the $\\Lambda$CDM paradigm for cosmology. Recent applications to galactic rotation velocities, Hubble expansion, and a model of dark galactic halos explain qualitative phenomena and fit observed data without invoking dark matter. Significant revision of theory relevant to galactic collisions and clusters is implied, but not yet tested. Dark energy is found to be a consequence of conformal symmetry for the Higgs scalar field of electroweak physics. The present paper tests this implication. The conformal Higgs model acquires a gravitational effect described by a modified Friedmann cosmic evolution equation, shown to fit cosmological data going back to the cosmic microwave background epoch. The tachyonic mass parameter of the Higgs model becomes dark energy in the Friedmann equation. A dynamical model of this parameter, analogous to the Higgs mechanism for gauge boson mass, is derived and tested here. An approximate calculation yields a result consistent with the empirical magnitude inferred from Hubble expansion.

  7. University of California, Berkeley Fall 2003 Energy and Resources Group

    E-Print Network [OSTI]

    Kammen, Daniel M.

    University of California, Berkeley Fall 2003 Energy and Resources Group Advanced Graduate Seminar Public Policy 290 - Energy and Development Professor Daniel M. Kammen Energy and Resources Group as either: Public Policy 290 P019 (CC# 77265), or Energy and Resources 290 P 004 (CC# 27765) Course WWW page

  8. Rethink Energy Accounting with Cooperative Game Theory Rice University

    E-Print Network [OSTI]

    Zhong, Lin

    Rethink Energy Accounting with Cooperative Game Theory Mian Dong Rice University dongmian- lated as a cooperative game and that the Shapley value provides the ultimate ground truth for energy Energy accounting determines how much a software principal con- tributes to the total system energy

  9. CALIFORNIA ENERGY COMMISSION SPECIAL DISTRICTS HOSPITALS & PUBLIC CARE COLLEGES & UNIVERSITIES

    E-Print Network [OSTI]

    Whether you are building a new facility, renovating an existing one, or want to reduce your energy billsCALIFORNIA ENERGY COMMISSION SPECIAL DISTRICTS HOSPITALS & PUBLIC CARE COLLEGES & UNIVERSITIES F O 2004 www.energy.ca.gov/efficiency/partnership Call (916) 654-4147 #12;The Energy Partnership Program

  10. Energy Modeling Community Resources | Department of Energy

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

    (Rocky Mountain Institute) published the "Building Energy Modeling Guide for Owners and Managers." The...

  11. Tel Aviv University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)ModelTalbottsInformationOpenTees ValleyTejasTel Aviv

  12. The University of Maryland Energy Research Center

    E-Print Network [OSTI]

    Rubloff, Gary W.

    .S. ranking in the 2007 DOE Solar Decathlon. The university's campus is a living laboratory of "smartgrid

  13. University of Minnesota Energy Conservation and Use

    E-Print Network [OSTI]

    typically consumes approximately 3 million MMBTU per year. Fuel Type Electric Coal Fuel Oil Gas Oat of the University. Until the late 1990's, coal comprised nearly 100% of the fuel used by the University's steam plants. In 1996, the University began to move away from coal as the primary fuel source. From 1996

  14. Voids as Alternatives to Dark Energy and the Propagation of Gamma Rays through the Universe

    E-Print Network [OSTI]

    De Lavallaz, Arnaud

    2011-01-01

    We test the opacity of a void Universe to TeV energy gamma rays having obtained the extra-galactic background light in that Universe using a simple model and the observed constraints on the star formation rate history. We find that the void Universe has significantly more opacity than a Lambda-CDM Universe, putting it at odds with observations of BL-Lac objects. We argue that while this method of distinguishing between the two cosmologies contains uncertainties, it circumvents any debates over fine-tuning.

  15. Policy modeling for industrial energy use

    SciTech Connect (OSTI)

    Worrell, Ernst; Park, Hi-Chun; Lee, Sang-Gon; Jung, Yonghun; Kato, Hiroyuki; Ramesohl, Stephan; Boyd, Gale; Eichhammer, Wolfgang; Nyboer, John; Jaccard, Mark; Nordqvist, Joakim; Boyd, Christopher; Klee, Howard; Anglani, Norma; Biermans, Gijs

    2003-03-01

    The international workshop on Policy Modeling for Industrial Energy Use was jointly organized by EETA (Professional Network for Engineering Economic Technology Analysis) and INEDIS (International Network for Energy Demand Analysis in the Industrial Sector). The workshop has helped to layout the needs and challenges to include policy more explicitly in energy-efficiency modeling. The current state-of-the-art models have a proven track record in forecasting future trends under conditions similar to those faced in the recent past. However, the future of energy policy in a climate-restrained world is likely to demand different and additional services to be provided by energy modelers. In this workshop some of the international models used to make energy consumption forecasts have been discussed as well as innovations to enable the modeling of policy scenarios. This was followed by the discussion of future challenges, new insights in the data needed to determine the inputs into energy model s, and methods to incorporate decision making and policy in the models. Based on the discussion the workshop participants came to the following conclusions and recommendations: Current energy models are already complex, and it is already difficult to collect the model inputs. Hence, new approaches should be transparent and not lead to extremely complex models that try to ''do everything''. The model structure will be determined by the questions that need to be answered. A good understanding of the decision making framework of policy makers and clear communication on the needs are essential to make any future energy modeling effort successful. There is a need to better understand the effects of policy on future energy use, emissions and the economy. To allow the inclusion of policy instruments in models, evaluation of programs and instruments is essential, and need to be included in the policy instrument design. Increased efforts are needed to better understand the effects of innovative (no n-monetary) policy instruments through evaluation and to develop approaches to model both conventional and innovative policies. The explicit modeling of barriers and decision making in the models seems a promising way to enable modeling of conventional and innovative policies. A modular modeling approach is essential to not only provide transparency, but also to use the available resources most effectively and efficiently. Many large models have been developed in the past, but have been abandoned after only brief periods of use. A development path based on modular building blocks needs the establishment of a flexible but uniform modeling framework. The leadership of international agencies and organizations is essential in the establishment of such a framework. A preference is given for ''softlinks'' between different modules and models, to increase transparency and reduce complexity. There is a strong need to improve the efficiency of data collection and interpretation efforts to produce reliable model inputs. The workshop participants support the need for the establishment of an (in-)formal exchanges of information, as well as modeling approaches. The development of an informal network of research institutes and universities to help build a common dataset and exchange ideas on specific areas is proposed. Starting with an exchange of students would be a relative low-cost way to start such collaboration. It would be essential to focus on specific topics. It is also essential to maintain means of regular exchange of ideas between researchers in the different focus points.

  16. Regions in Energy Market Models

    SciTech Connect (OSTI)

    Short, W.

    2007-02-01

    This report explores the different options for spatial resolution of an energy market model--and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

  17. Regions in Energy Market Models

    SciTech Connect (OSTI)

    2009-01-18

    This report explores the different options for spatial resolution of an energy market model and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

  18. Northwestern University Team Wins Energy Department's National...

    Office of Environmental Management (EM)

    a university or national lab. The plans detailed how they could bring that technology to market, including financing, product design, scaling up production, and marketing. The six...

  19. Energy and momentum of Bianchi Type VI_h Universes

    E-Print Network [OSTI]

    Tripathy, S K; Pandey, G K; Singh, A K; Kumar, T; Xulu, S S

    2015-01-01

    We obtain the energy and momentum of the Bianchi type VI_h universes using different prescriptions for the energy-momentum complexes in the framework of general relativity. The energy and momentum of the Bianchi VI_h universe are found to be zero for the parameter h = -1 of the metric. The vanishing of these results support the conjecture of Tryon that Universe must have a zero net value for all conserved quantities.This also supports the work of Nathan Rosen with the Robertson-Walker metric. Moreover, it raises an interesting question: "Why h=-1 case is so special?"

  20. Energy and momentum of Bianchi Type VI_h Universes

    E-Print Network [OSTI]

    S. K. Tripathy; B. Mishra; G. K. Pandey; A. K. Singh; T. Kumar; S. S. Xulu

    2015-01-19

    We obtain the energy and momentum of the Bianchi type VI_h universes using different prescriptions for the energy-momentum complexes in the framework of general relativity. The energy and momentum of the Bianchi VI_h universe are found to be zero for the parameter h = -1 of the metric. The vanishing of these results support the conjecture of Tryon that Universe must have a zero net value for all conserved quantities.This also supports the work of Nathan Rosen with the Robertson-Walker metric. Moreover, it raises an interesting question: "Why h=-1 case is so special?"

  1. Model Building Energy Code

    Broader source: Energy.gov [DOE]

    The Energy Efficiency Building Performance Standards (EEBPS) are statewide minimum requirements that all new construction and additions to existing buildings must satisfy. Exceptions include...

  2. Sandia Energy - Modeling & Analysis

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

    Center (PV RTC), Photovoltaic Systems Evaluation Laboratory (PSEL), Renewable Energy, SMART Grid, Solar, Solar Newsletter, SunShot, Systems Analysis, Systems...

  3. A Global Personal Energy Meter University of Cambridge Computer Laboratory

    E-Print Network [OSTI]

    Cambridge, University of

    - sumption figures scaled by a predetermined factor for the type of energy used and divided equally amongstA Global Personal Energy Meter Simon Hay University of Cambridge Computer Laboratory Abstract of goods and provision of services. I envisage a personal energy meter which can record and apportion

  4. Cardiff University Distinguished Lecture Symposium Advances in Solar Energy

    E-Print Network [OSTI]

    Martin, Ralph R.

    Cardiff University Distinguished Lecture Symposium Advances in Solar Energy Thursday 22nd March prospects for inorganic thin film photovoltaic solar cells for large scale energy generation 2:55 Dr Emyr:50 Professor James Durrant (Imperial College London, England) Photochemical approaches to solar energy

  5. Using Flow Batteries for Energy Storage Moses Sutton, Columbia University

    E-Print Network [OSTI]

    Lavaei, Javad

    1 Using Flow Batteries for Energy Storage Moses Sutton, Columbia University mss2197@columbia.edu Abstract - In the industry of power generation and distribution, effective energy storage devices have long that are gaining attention in the energy storage industry. I. Introduction Flow batteries are rechargeable

  6. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive. Ellis July 14, 2008 #12;NOTICE AND ACKNOWLEDGEMENTS This report was prepared by the Renewable Energy sponsored by the Renewable Energy Trust (RET), as administered by the Massachusetts Technology Collaborative

  7. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive template version 3.1.2 #12;NOTICE AND ACKNOWLEDGEMENTS This report was prepared by the Renewable Energy sponsored by the Renewable Energy Trust (RET), as administered by the Massachusetts Technology Collaborative

  8. Renewable Energy Research Laboratory University of Massachusetts, Amherst

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive. Ellis April 14, 2008 #12;NOTICE AND ACKNOWLEDGEMENTS This report was prepared by the Renewable Energy sponsored by the Renewable Energy Trust (RET), as administered by the Massachusetts Technology Collaborative

  9. Healthcare Energy: State University of New York Upstate Medical University East Wing

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. This page contains highlights from monitoring at the the East Wing, a hospital building addition at the State University of New York Upstate Medical University.

  10. Bishop's University Energy Efficiency Action Plan

    E-Print Network [OSTI]

    global energy consumption by 14% relative to 2002-2003. By 2010 Action 6: Cost evaluation of investments% reduction in energy consumption (GJ / m²) for higher education buildings from 2002-2003 until 2010- 2011 ways to save energy March 2008 Action 3: Snapshot of current energy consumption. Send energy

  11. Sandia Energy » Modeling

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming Release of the University of Minnesota's

  12. National Energy Modeling System (NEMS)

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

    The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. through 2030. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). NEMS can be used to analyze the effects of existing and proposed government laws and regulations related to energy production and use; the potential impact of new and advanced energy production, conversion, and consumption technologies; the impact and cost of greenhouse gas control; the impact of increased use of renewable energy sources; and the potential savings from increased efficiency of energy use; and the impact of regulations on the use of alternative or reformulated fuels. NEMS has also been used for a number of special analyses at the request of the Administration, U.S. Congress, other offices of DOE and other government agencies, who specify the scenarios and assumptions for the analysis. Modules allow analyses to be conducted in energy topic areas such as residential demand, industrial demand, electricity market, oil and gas supply, renewable fuels, etc.

  13. Building Energy Modeling (BEM) Program Overview

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

    Amir Roth, Ph.D. amir.roth@ee.doe.gov Building Energy Modeling (BEM) Program Overview http:energy.goveerebuildingsbuilding-energy-modeling 2 BEM: An Energy-Efficiency...

  14. University of Central Florida Students' Energy Saving Work Showcased...

    Office of Environmental Management (EM)

    a new video encouraging college students to help America save energy, save money and cut pollution. The video highlights the work of students at the University of Central Florida...

  15. Pennsylvania State University Wins Big In Las Vegas: Energy Department...

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

    than 150 students at 10 universities across the country to design, test and build a small wind turbine. Over the course of three intense days at the American Wind Energy...

  16. Is space expanding in the Friedmann universe models?

    E-Print Network [OSTI]

    Oyvind Gron; Oystein Elgaroy

    2006-09-18

    The interpretation of the expanding universe as an expansion of space has recently been challenged. From the geodesic equation in Friedmann universe models and the empty Milne model, we argue that a Newtonian or special relativistic analysis is not applicable on large scales, and the general relativistic interpretation in terms of expanding space has the advantage of being globally consistent. We also show that the cosmic redshift, interpreted as an expansion effect, containts both the Doppler effect and the gravitational frequency shift.

  17. Center for Electrical Energy Storage Tailored Interfaces Argonne National Laboratory, University of Illinois at Urbana-Champaign, Northwestern University

    E-Print Network [OSTI]

    Kemner, Ken

    Center for Electrical Energy Storage ­ Tailored Interfaces Argonne National Laboratory, University lithium batteries. Follow us at http://www.anl.gov/energy-storage-science Autogenic reactions at high

  18. Resource Letter: Dark Energy and the Accelerating Universe

    E-Print Network [OSTI]

    Eric V. Linder

    2007-05-28

    This Resource Letter provides a guide to the literature on dark energy and the accelerating universe. It is intended to be of use to researchers, teachers, and students at several levels. Journal articles, books, and websites are cited for the following topics: Einstein's cosmological constant, quintessence or dynamical scalar fields, modified cosmic gravity, relations to high energy physics, cosmological probes and observations, terrestrial probes, calculational tools and parameter estimation, teaching strategies and educational resources, and the fate of the universe.

  19. Properties of NAC and CV[NAC] for Energy Models 

    E-Print Network [OSTI]

    Ruch, D. K.

    1993-01-01

    ESL-TR-93/05-03 Properties of CV [NAC] for Linear Energy Models David K. Ruch Sam Houston State University k Energy Systems Laboratory May 1993 1. Introduction and Notation The stability of the NAC estimate for the PRISM model has been shown em... for many linear energy models of the form E = a + bT and a large range of temperature data sets. Define TL, as in Fels [1], to be the long-term average temperature (30 years is recommended). Then recall that the parameters a, b, and NAC for the model E = a...

  20. Sandia Energy » Modeling

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming Release of the University of Minnesota's4th PV Performance

  1. Modeling Solar Energy Technology Evolution breakout session ...

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

    Modeling Solar Energy Technology Evolution breakout session Modeling Solar Energy Technology Evolution breakout session This presentation summarizes the information given on the...

  2. Building a Universal Nuclear Energy Density Functional

    SciTech Connect (OSTI)

    Carlson, Joe A.; Furnstahl, Dick; Horoi, Mihai; Lust, Rusty; Nazaewicc, Witek; Ng, Esmond; Thompson, Ian; Vary, James

    2012-12-30

    During the period of Dec. 1 2006 – Jun. 30, 2012, the UNEDF collaboration carried out a comprehensive study of all nuclei, based on the most accurate knowledge of the strong nuclear interaction, the most reliable theoretical approaches, the most advanced algorithms, and extensive computational resources, with a view towards scaling to the petaflop platforms and beyond. The long-term vision initiated with UNEDF is to arrive at a comprehensive, quantitative, and unified description of nuclei and their reactions, grounded in the fundamental interactions between the constituent nucleons. We seek to replace current phenomenological models of nuclear structure and reactions with a well-founded microscopic theory that delivers maximum predictive power with well-quantified uncertainties. Specifically, the mission of this project has been three-fold: ? First, to find an optimal energy density functional (EDF) using all our knowledge of the nucleonic Hamiltonian and basic nuclear properties; ? Second, to apply the EDF theory and its extensions to validate the functional using all the available relevant nuclear structure and reaction data; ? Third, to apply the validated theory to properties of interest that cannot be measured, in particular the properties needed for reaction theory.

  3. School of Mechanical Engineering, Purdue UniversitySchool of Mechanical Engineering, Purdue UniversitySchool of Mechanical Engineering, Purdue University EnergyEnergy--Saving Control of Hydraulic SystemsSaving Control of Hydraulic Systems

    E-Print Network [OSTI]

    Yao, Bin

    School of Mechanical Engineering, Purdue UniversitySchool of Mechanical Engineering, Purdue UniversitySchool of Mechanical Engineering, Purdue University EnergyEnergy--Saving Control of Hydraulic Principle Investigator: Bin Yao Research Assistant: Song Liu School of Mechanical Engineering Purdue

  4. AVCEM: Advanced Vehicle Cost and Energy Use Model. Overview of AVCEM

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01

    California 95616 PHONE: WEB: FAX: http://its.ucdavis.edu/ AVCEM: ADVANCED-VEHICLE COST AND ENERGY-Cost and Energy Use Model Overview of AVCEM Mark A. Delucchi Institute of Transportation Studies ? University of California,

  5. Inhomogeneities in dusty universe - a possible alternative to dark energy?

    E-Print Network [OSTI]

    S. Chatterjee

    2011-01-28

    There have been of late renewed debates on the role of inhomogeneities to explain the observed late acceleration of the universe. We have looked into the problem analytically with the help of the well known spherically symmetric but inhomogeneous Lemaitre-Tolman-Bondi(LTB) model generalised to higher dimensions. It is observed that in contrast to the claim made by Kolb et al the presence of inhomogeneities as well as extra dimensions can not reverse the signature of the deceleration parameter if the matter field obeys the energy conditions. The well known Raychaudhuri equation also points to the same result. Without solving the field equations explicitly it can, however, be shown that although the total deceleration is positive everywhere nevertheless it does not exclude the possibility of having radial acceleration, even in the pure dust universe, if the angular scale factor is decelerating fast enough and vice versa. Moreover it is found that introduction of extra dimensions can not reverse the scenario. To the contrary it actually helps the decelerating process.

  6. Correlation-function asymptotic expansions: Universality of prefactors of the one-dimensional Hubbard model

    SciTech Connect (OSTI)

    Carmelo, J. M. P.; Penc, K.

    2006-03-15

    We show that the prefactors of all terms of the one-dimensional (1D) Hubbard model correlation-function asymptotic expansions have a universal form, as the corresponding critical exponents. In addition to calculating such prefactors, our study clarifies the relation of the low-energy Tomonaga-Luttinger-liquid behavior to the scattering mechanisms which control the spectral properties of the model at all energy scales. Our results are of general nature for many integrable interacting models and provide a broader understanding of the unusual properties of quasi-1D nanostructures, organic conductors, and optical lattices of fermionic atoms.

  7. Technical University of Denmark -Informatics and Mathematical Modelling Technical Report IMM-2007-02 (16 January 2007)

    E-Print Network [OSTI]

    University of Denmark, Lyngby, Denmark George N. Kariniotakis Centre for Energy and Processes, Ecole desTechnical University of Denmark - Informatics and Mathematical Modelling Technical Report IMM-2007 Mines de Paris, Sophia Antipolis, France Abstract Predictions of wind power production for horizons up

  8. 100% DD Energy Model Update

    SciTech Connect (OSTI)

    None

    2011-06-30

    The Miami Science Museum energy model has been used during DD to test the buildingâ??s potential for energy savings as measured by ASHRAE 90.1-2007 Appendix G. This standard compares the designed buildingâ??s yearly energy cost with that of a code-compliant building. The building is currently on track show 20% or better improvement over the ASHRAE 90.1-2007 Appendix G baseline; this performance would ensure minimum compliance with both LEED 2.2 and current Florida Energy Code, which both reference a less strict version of ASHRAE 90.1. In addition to being an exercise in energy code compliance, the energy model has been used as a design tool to show the relative performance benefit of individual energy conservation measures (ECMs). These ECMs are areas where the design team has improved upon code-minimum design paths to improve the energy performance of the building. By adding ECMs one a time to a code-compliant baseline building, the current analysis identifies which ECMs are most effective in helping the building meet its energy performance goals.

  9. Medium Energy Nuclear Physics Research at the University of Richmond

    E-Print Network [OSTI]

    Gilfoyle, Jerry

    1 Medium Energy Nuclear Physics Research at the University of Richmond G. P. Gilfoyle Physics Physics: Medium Energy Nuclear Physics Program Program Manager: Dr. Ted Barnes #12;2 #12;3 Contents 1 Project Introduction 5 2 Project Description 7 2.1 Status of Current Projects

  10. Prairie View A&M University Whole Campus Energy Analysis 

    E-Print Network [OSTI]

    Haberl, J. S.; Claridge, D. E.; Turner, W. D.

    1991-01-01

    Prairie View A&M University started a large scale energy management program in 1987 and 1988. This report presents an analysis of whole-campus energy consumption at the Prairie View A&M Campus where whole-campus indices were developed that normalize...

  11. Medium Energy Nuclear Physics Research at the University of Richmond

    E-Print Network [OSTI]

    Gilfoyle, Jerry

    1 Medium Energy Nuclear Physics Research at the University of Richmond G. P. Gilfoyle Physics Physics: Medium Energy Nuclear Physics Program Program Manager: Dr. Brad Tippens #12;2 #12;3 Contents 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.4.1 Facilities and Support for Nuclear Physics . . . . . . . . . . . . . . . . . . . . 22 2

  12. Power and Energy Containers for Multicore Servers University of Rochester

    E-Print Network [OSTI]

    Shen, Kai

    and energy efficiency are critical concerns in server systems, particularly when serving dynamic workloads isolation and achieve efficiency. Zhang is currently affiliated with Google. Copyright is held by the authorPower and Energy Containers for Multicore Servers Kai Shen University of Rochester kshen

  13. Participation in High Energy Physics at the University of Chicago

    SciTech Connect (OSTI)

    Martinec, Emil J. [University of Chicago

    2013-06-27

    This report covers research at the University of Chicago in theoretical high energy physics and its connections to cosmology, over the period Nov. 1, 2009 to April 30, 2013. This research is divided broadly into two tasks: Task A, which covers a broad array of topics in high energy physics; and task C, primarily concerned with cosmology.

  14. Adaptive Global Testing for Functional Linear Models Carnegie Mellon University

    E-Print Network [OSTI]

    Lei, Jing

    Adaptive Global Testing for Functional Linear Models Jing Lei Carnegie Mellon University August 5 BCS-0941518. Abstract This paper studies global testing of the slope function in functional linear when approxi- mating the functional regression model by a finite dimensional multivariate linear

  15. Tachyon warm inflationary universe model in the weak dissipative regime

    E-Print Network [OSTI]

    Sergio del Campo; Ramon Herrera; Joel Saavedra

    2008-12-05

    Warm inflationary universe model in a tachyon field theory is studied in the weak dissipative regime. We develop our model for an exponential potential and the dissipation parameter $\\Gamma=\\Gamma_0$=constant. We describe scalar and tensor perturbations for this scenario.

  16. Vector models for dark energy

    E-Print Network [OSTI]

    Jose Beltran Jimenez; Antonio L. Maroto

    2008-07-16

    We explore the possibility that the present stage of accelerated expansion of the universe is due to the presence of a cosmic vector field. We show that vector theories allow for the generation of an accelerated phase without the introduction of potential terms or unnatural scales in the Lagrangian. We propose a particular model with the same number of parameters as LCDM and excellent fits to SNIa data. The model is scaling during radiation era, with natural initial conditions, thus avoiding the cosmic coincidence problem. Upcoming observations will be able to clearly discriminate it from standard LCDM cosmology

  17. Sandia Energy - Modeling

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid Action NetworkMilitaryCreation

  18. Sandia Energy - Modeling

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid Action

  19. Sandia Energy - Phenomenological Modeling

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &WaterNew CREWOnlineParticulatePatent

  20. The dynamics of universe for exponential decaying dark energy

    E-Print Network [OSTI]

    Bostan, Nilay

    2015-01-01

    In this study we consider an exponential decaying form for dark energy as EoS parameter in order to discuss the dynamics of the universe. Firstly, assuming that universe is filled with an ideal fluid which consists of exponential decaying dark energy we obtain time dependent behavior of several physical quantities such as energy density, pressure and others for dark energy, dark energy-matter coupling and non-coupling cases. Secondly, using scalar field instead of an ideal fluid we obtain these physical quantities in terms of scalar potential and kinetic term for the same cases in scalar-tensor formalism. Finally we show that ideal fluid and scalar-tensor description of dark energy give mathematically equivalent results for this EoS parameter.

  1. The dynamics of universe for exponential decaying dark energy

    E-Print Network [OSTI]

    Nilay Bostan; Ekrem Aydiner

    2015-08-12

    In this study we consider an exponential decaying form for dark energy as EoS parameter in order to discuss the dynamics of the universe. Firstly, assuming that universe is filled with an ideal fluid which consists of exponential decaying dark energy we obtain time dependent behavior of several physical quantities such as energy density, pressure and others for dark energy, dark energy-matter coupling and non-coupling cases. Secondly, using scalar field instead of an ideal fluid we obtain these physical quantities in terms of scalar potential and kinetic term for the same cases in scalar-tensor formalism. Finally we show that ideal fluid and scalar-tensor description of dark energy give mathematically equivalent results for this EoS parameter.

  2. PROJECT PROFILE: Boston University | 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 on Delicious RankADVANCED MANUFACTURINGEnergy Bills andOrder 422.1, CONDUCT P - . . - -INL EducationBoston University

  3. Research in High Energy Physics at Duke University

    SciTech Connect (OSTI)

    Kotwal, Ashutosh V.; Goshaw, Al; Kruse, Mark; Oh, Seog; Scholberg, Kate; Walter, Chris

    2013-07-29

    This is the Closeout Report for the research grant in experimental elementary particle physics, carried out by the Duke University High Energy Physics (HEP) group. We re- port on physics results and detector development carried out under this grant, focussing on the recent three-year grant period (2010 to 2013). The Duke HEP group consisted of seven faculty members, two senior scientists, #12;ve postdocs and eight graduate students. There were three thrusts of the research program. Measurements at the energy frontier at CDF and ATLAS were used to test aspects of elementary particle theory described by the Stan- dard Model (SM) and to search for new forces and particles beyond those contained within the SM. The neutrino sector was explored using data obtained from a large neutrino detector located in Japan, and R & D was conducted on new experiments to be built in the US. The measurements provided information about neutrino masses and the manner in which neutri- nos change species in particle beams. Two years ago we have started a new research program in rare processes based on the Mu2E experiment at Fermilab. This research is motivated by the search for the #22; ! e transition with unprecedented sensitivity, a transition forbidden in the standard model but allowed in supersymmetric and other models of new physics. The high energy research program used proton and antiproton colliding beams. The experiments were done at the Fermilab Tevatron (proton-antiproton collisions at a center of mass energy of 1.96 TeV) and at the CERN Large Hadron Collider (proton-proton collisions at 7-8 TeV). The neutrino program used data obtained from the Super-Kamiokande detec- tor. This water-#12;lled Cherenkov counter was used to detect and measure the properties of neutrinos produced in cosmic ray showers, and from neutrino beams produced from acceler- ators in Japan. The Mu2E experiment will use a special stopped muon beam to be built at Fermilab.

  4. Research in High Energy Physics at Duke University

    SciTech Connect (OSTI)

    Goshaw, Alfred; Kotwal, Ashutosh; Kruse, Mark; Oh, Seog; Scholberg, Kate; Walter, Chris

    2013-07-29

    This is the Closeout Report for the research grant in experimental elementary particle physics, carried out by the Duke University High Energy Physics (HEP) group. We re- port on physics results and detector development carried out under this grant, focussing on the recent three-year grant period (2010 to 2013). The Duke HEP group consisted of seven faculty members, two senior scientists, five postdocs and eight graduate students. There were three thrusts of the research program. Measurements at the energy frontier at CDF and ATLAS were used to test aspects of elementary particle theory described by the Stan- dard Model (SM) and to search for new forces and particles beyond those contained within the SM. The neutrino sector was explored using data obtained from a large neutrino detector located in Japan, and R & D was conducted on new experiments to be built in the US. The measurements provided information about neutrino masses and the manner in which neutri- nos change species in particle beams. Two years ago we have started a new research program in rare processes based on the Mu2E experiment at Fermilab. This research is motivated by the search for the #22;{mu} {yields} e transition with unprecedented sensitivity, a transition forbidden in the standard model but allowed in supersymmetric and other models of new physics. The high energy research program used proton and antiproton colliding beams. The experiments were done at the Fermilab Tevatron (proton-antiproton collisions at a center of mass energy of 1.96 TeV) and at the CERN Large Hadron Collider (proton-proton collisions at 7-8 TeV). The neutrino program used data obtained from the Super-Kamiokande detector. This water-filled Cherenkov counter was used to detect and measure the properties of neutrinos produced in cosmic ray showers, and from neutrino beams produced from acceler- ators in Japan. The Mu2E experiment will use a special stopped muon beam to be built at Fermilab.

  5. 25.07.03.M3 Energy Risk Management Program Page 1 of 2 UNIVERSITY RULE

    E-Print Network [OSTI]

    25.07.03.M3 Energy Risk Management Program Page 1 of 2 UNIVERSITY RULE 25.07.03.M3 Energy Risk and administer an Energy Risk Management Program (ERMP) in order to minimize energy costs, mitigate financial to Texas A&M University at Galveston or Texas A&M University at Qatar. Definitions Energy Risk Management

  6. Toronto University Innovation Foundation | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al., 2013)Open EnergyTinoxOpenStatutesTontogany,Tornillo, Texas:

  7. Pennsylvania State University | Department of Energy

    Energy Savers [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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested PartiesBuilding energy codes havePUBLICofPatricia A.Crowns Collegiate

  8. Webcast of the Renewable Energy Competency Model

    Broader source: Energy.gov [DOE]

    The Department of Energy held a webcast titled ""Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce"" on Monday, October 22, 2012. The Renewable Energy...

  9. Downward transference of mice and universality of local core models

    E-Print Network [OSTI]

    Caicedo, Andres

    2012-01-01

    If M is an inner model and omega_2^M=omega_2, then every sound mouse projecting to omega and not past 0-pistol belongs to M. In fact, under the assumption that 0-pistol does not belong to M, K^M \\| omega_2 is universal for all countable mice in V}. Similarly, if delta>omega_1 is regular, (delta^+)^M = delta^+, and in V there is no proper class inner model with a Woodin cardinal, then K^M \\| delta is universal for all mice in V of cardinality less than delta.

  10. The Pennsylvania State University www.BioEnergyBridge.psu.edu 1 BioEnergy Bridge

    E-Print Network [OSTI]

    Lee, Dongwon

    © The Pennsylvania State University www.BioEnergyBridge.psu.edu 1 Penn State BioEnergy# trichard@psu.edu rtw103@psu.edu www.bioenergy.psu.edu Biomass Energy Center #12;© The Pennsylvania State · The BioEnergy BridgeTM will address the full spectrum of challenges to our national priority of reducing

  11. Ferris State University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA Jump to:ofEnia SpA JumpGmbHFerris State University Jump to:

  12. University of New Orleans | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company) JumpGTZ ClimateFeed JumpAlbertaUniversity of NewNew

  13. University of Oldenburg | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company) JumpGTZ ClimateFeed JumpAlbertaUniversity of

  14. University of Rhode Island | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company) JumpGTZ ClimateFeed JumpAlbertaUniversity ofRhode Island

  15. University of Tennessee | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company) JumpGTZ ClimateFeed JumpAlbertaUniversity ofRhode

  16. University of Waterloo UW | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company) JumpGTZ ClimateFeed JumpAlbertaUniversity ofRhodeUW Jump

  17. Polytechnic University of Madrid | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly SmartDB-2, Blue MountainSchoolPrairie JumpPolytechnic University

  18. Material models of dark energy

    E-Print Network [OSTI]

    Jonathan A. Pearson

    2014-09-16

    We review and develop a new class of "dark energy" models, in which the relativistic theory of solids is used to construct material models of dark energy. These are models which include the effects of a continuous medium with well defined physical properties at the level of linearized perturbations. The formalism is constructed for a medium with arbitrary symmetry, and then specialised to isotropic media (which will be the case of interest for the majority of cosmological applications). We develop the theory of relativistic isotropic viscoelastic media whilst keeping in mind that we ultimately want to observationally constrain the allowed properties of the material model. We do this by obtaining the viscoelastic equations of state for perturbations (the entropy and anisotropic stress), as well as identifying the consistent corner of the theory which has constant equation of state parameter $\\dot{w}=0$. We also connect to the non-relativistic theory of solids, by identifying the two quadratic invariants that are needed to construct the energy-momentum tensor, namely the Rayleigh dissipation function and Lagrangian for perturbations. Finally, we develop the notion that the viscoelastic behavior of the medium can be thought of as a non-minimally coupled massive gravity theory. This also provides a tool-kit for constructing consistent generalizations of coupled dark energy theories.

  19. NSU Norfolk State University | Department of Energy

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOEDepartment of Energy009At26-2009NSRC_MOU.pdffacts about Norfolk

  20. The Sustainable Energy Utility (SEU) Model for Energy Service Delivery

    E-Print Network [OSTI]

    Delaware, University of

    95 The Sustainable Energy Utility (SEU) Model for Energy Service Delivery Jason Houck San Francisco to finance, market, and deliver sustainable energy services to energy end-users. This study outlines the concept of a new third-party administrative model, a sustainable energy utility (SEU), with the potential

  1. Energy Department Invests $600,000 in University-Industry Partnerships...

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

    Invests 600,000 in University-Industry Partnerships to Enhance Building Efficiency Energy Department Invests 600,000 in University-Industry Partnerships to Enhance Building...

  2. The University of Maryland Energy Research Center

    E-Print Network [OSTI]

    Zeng, Ning

    are creating new enzymes and processes to convert cellulosic and waste materials to biofuels and electric power systems and Combined Heat and Power systems. Combining distinctive architectural design and an array THE NEED Our quality of life, standard of living and national security depend on energy. A strong, balanced

  3. University of Minnesota Energy Conservation and Use

    E-Print Network [OSTI]

    Gulliver, Robert

    than two million square feet while our utility carbon footprint has been reduced. This has been similarly sized boilers, reducing both the cost and carbon footprint of energy production. This translates with coal into the boiler. It should also be noted that while oat hulls reduce our carbon footprint

  4. UCDavis University of California A California Energy

    E-Print Network [OSTI]

    California at Davis, University of

    · Market Segments · Fleet Operation · Energy Savings Battery studies · Benchmark Testing · 2nd use · End-in Prius Battery kWh: Charge Time: Level 1 Level 2 Level 3 All Electric Range: Price: 3hrs/110v (15A) 1 rebate program (CCSE) · Data collected on February-March 2012 Survey Leaf Volt Tesla San Diego 312 24 0

  5. Sudden Future Singularity models as an alternative to Dark Energy?

    E-Print Network [OSTI]

    Hoda Ghodsi; Martin A. Hendry; Mariusz P. Dabrowski; Tomasz Denkiewicz

    2011-03-11

    Current observational evidence does not yet exclude the possibility that dark energy could be in the form of phantom energy. A universe consisting of a phantom constituent will be driven toward a drastic end known as the `Big Rip' singularity where all the matter in the universe will be destroyed. Motivated by this possibility, other evolutionary scenarios have been explored by Barrow, including the phenomena which he called Sudden Future Singularities (SFS). In such a model it is possible to have a blow up of the pressure occurring at sometime in the future evolution of the universe while the energy density would remain unaffected. The particular evolution of the scale factor of the universe in this model that results in a singular behaviour of the pressure also admits acceleration in the current era. In this paper we will present the results of our confrontation of one example class of SFS models with the available cosmological data from high redshift supernovae, baryon acoustic oscillations (BAO) and the cosmic microwave background (CMB). We then discuss the viability of the model in question as an alternative to dark energy.

  6. University of Maine | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower

  7. Oregon State University OSU | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPIProtectio Program | Open EnergyInformationSiting Process Jump

  8. Arizona State University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin: EnergyYork Jump|

  9. Universal System Benefits Program | 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 on DeliciousMathematics And Statistics » USAJobs Search USAJobs Search The jobsFelix Storch Inc.BlEnergy

  10. James Madison University | 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 on Delicious Rank EERE: Alternative Fuelsof EnergyApril 2014 | International Nuclear Energyat Larger26,High JC3

  11. Kansas State University | 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 on Delicious Rank EERE: Alternative Fuelsof EnergyApril 2014 | International Nuclear

  12. Northern Arizona University | 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 on Delicious Rank EERE: Alternative Fuelsof EnergyApril 2014Department ofWind Career MapPower Systems

  13. In reaction to the international energy crisis of the 1970s, Syracuse University institutes sustainability measures, calling for energy conservation. The University initiates a campus recycling program.

    E-Print Network [OSTI]

    McConnell, Terry

    sustainability measures, calling for energy conservation. 1990 The University initiates a campus recycling the Department of Energy and Computing Management (now Energy Systems and Sustainability Management). University campus buildings to save energy over year-end holidays. Sustainability Division completes Climate Action

  14. MINISTRY OF ENERGY AND MINES AND UNIVERSITY OF VICTORIA

    E-Print Network [OSTI]

    Yahel, Gitai

    MINISTRY OF ENERGY AND MINES AND UNIVERSITY OF VICTORIA Social Science and Science Partnerships meaningful conclusions can be drawn. New research should make use of more realistic sound levels, and study are known only from a few locations on the BC coast although more may be found. Reef-forming glass sponges

  15. School of Mechanical Engineering, Purdue UniversitySchool of Mechanical Engineering, Purdue UniversitySchool of Mechanical Engineering, Purdue University Energy Saving Control of Hydraulic SystemsEnergy Saving Control of Hydraulic Systems

    E-Print Network [OSTI]

    Yao, Bin

    School of Mechanical Engineering, Purdue UniversitySchool of Mechanical Engineering, Purdue UniversitySchool of Mechanical Engineering, Purdue University Energy Saving Control of Hydraulic Systems Principle Investigator: Bin Yao Research Assistant: Song Liu School of Mechanical Engineering Purdue

  16. Universal GeoPower | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower Jump to: navigation, search

  17. Universal Lighting Technologies | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower Jump to: navigation,

  18. University of California Davis | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower JumpCalifornia Davis Jump

  19. University of Iowa | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower JumpCaliforniaIowa Jump to:

  20. University of Johannesburg | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower JumpCaliforniaIowa Jump

  1. University of Kansas | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower JumpCaliforniaIowa

  2. University of Michigan | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPowerMichigan Jump to:

  3. University of Minnesota | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPowerMichigan Jump to:Minnesota

  4. University of North Carolina | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPowerMichigan Jump

  5. University of South Florida | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPowerMichigan JumpSouth Florida

  6. University of Washington | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPowerMichigan JumpSouth

  7. University of california | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPowerMichigan

  8. The University of Wyoming | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al., 2013) |InformationThe NeedlesInformation SpaProject

  9. Cornell University Hydrodynamics | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar EnergyLawler,CoalConcordiaConsumer ConnectionCoral Power LLC

  10. Carborundum Universal Ltd | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar Energy LLCLtd Jump to: navigation, search Name: Carbon Trade

  11. Northern Arizona University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon: EnergyNongqishi ElectricElecCompany

  12. Pennsylvania State University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg,Energy LLC Jump to:3 ofAltos delValleyYork)State

  13. Seoul National University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg,EnergyEastCarbonOpenSchulthessENDA Projects JumpNational

  14. Spotlighting Howard University | 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 on Delicious RankADVANCED MANUFACTURINGEnergy BillsNo.Hydrogen4EnergySolidof2 SpecialSpent FuelTime |ofProgram Reach

  15. Robert Gordon University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-bRenewable Energy| OpenNewRiversideRoanoke,Robbins

  16. Universal Entech LLC | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy Resources (Redirected

  17. University of Cape Town | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark Community Solar

  18. University of Colorado | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark Community SolarColorado

  19. University of Delaware Wind | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark CommunityWind Jump to:

  20. University of Delaware | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark CommunityWind Jump

  1. University of Illinois | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark CommunityWind

  2. University of Manchester | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark CommunityWindIowa

  3. University of Maryland | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark

  4. University of Neuchatel | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark-- Morris WindNeuchatel

  5. University of New Hampshire | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark-- Morris

  6. University of Pittsburgh | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark-- MorrisPittsburgh Jump

  7. University of Toledo | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark--

  8. Australian National University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminex A SOpenAshley,AtlantisstromAugustaEnergyAustinTexas:andNational

  9. Case Western University (Nordex) | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButte County,Camilla, Georgia: Energy014771°, -77.1888704°CascadeNordex) Jump to:

  10. Case Western University (Vestas) | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButte County,Camilla, Georgia: Energy014771°, -77.1888704°CascadeNordex) Jump

  11. Case Western University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButte County,Camilla, Georgia: Energy014771°, -77.1888704°CascadeNordex)

  12. North Carolina State University | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to:Information 3rd| Open EnergyAndover, Massachusetts:

  13. University Park Data Dashboard | Department of Energy

    Energy Savers [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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLEStatutoryin theNuclear Energy Research andofRod BeeverData Dashboard

  14. West Virginia University | Department of Energy

    Energy Savers [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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'S FUTURE. regulatorsEnergy InformationWest CoastWestWest ValleyWest

  15. University of Kansas | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedof EnergyMeetingBSHDepartment ofofKansas

  16. University of Massachusetts Lowell | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedof EnergyMeetingBSHDepartment

  17. Boise State University | Department of Energy

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment|Marketing, LLC |Energycurrently provides technical assistanceleft:

  18. Unified dark energy-dark matter model with inverse quintessence

    SciTech Connect (OSTI)

    Ansoldi, Stefano; Guendelman, Eduardo I. E-mail: guendel@bgu.ac.il

    2013-05-01

    We consider a model where both dark energy and dark matter originate from the coupling of a scalar field with a non-canonical kinetic term to, both, a metric measure and a non-metric measure. An interacting dark energy/dark matter scenario can be obtained by introducing an additional scalar that can produce non constant vacuum energy and associated variations in dark matter. The phenomenology is most interesting when the kinetic term of the additional scalar field is ghost-type, since in this case the dark energy vanishes in the early universe and then grows with time. This constitutes an ''inverse quintessence scenario'', where the universe starts from a zero vacuum energy density state, instead of approaching it in the future.

  19. A dark energy model alternative to generalized Chaplygin gas

    E-Print Network [OSTI]

    Hova, Hoavo

    2010-01-01

    We propose a new fluid model of dark energy for $-1 \\leq \\omega_{\\text{eff}} \\leq 0$ as an alternative to the generalized Chaplygin gas models. The energy density of dark energy fluid is severely suppressed during barotropic matter dominant epochs, and it dominates the universe evolution only for eras of small redshift. From the perspective of fundamental physics, the fluid is a tachyon field with a scalar potential flatter than that of power-law decelerated expansion. Different from the standard $\\Lambda\\text{CDM}$ model, the suggested dark energy model claims that the cosmic acceleration at present epoch can not continue forever but will cease in the near future and a decelerated cosmic expansion will recover afterwards.

  20. A dark energy model alternative to generalized Chaplygin gas

    E-Print Network [OSTI]

    Hoavo Hova; Huanxiong Yang

    2010-11-22

    We propose a new fluid model of dark energy for $-1 \\leq \\omega_{\\text{eff}} \\leq 0$ as an alternative to the generalized Chaplygin gas models. The energy density of dark energy fluid is severely suppressed during barotropic matter dominant epochs, and it dominates the universe evolution only for eras of small redshift. From the perspective of fundamental physics, the fluid is a tachyon field with a scalar potential flatter than that of power-law decelerated expansion. Different from the standard $\\Lambda\\text{CDM}$ model, the suggested dark energy model claims that the cosmic acceleration at present epoch can not continue forever but will cease in the near future and a decelerated cosmic expansion will recover afterwards.

  1. Dark Energy Models and Laws of Thermodynamics in Bianchi I Model

    E-Print Network [OSTI]

    M. Sharif; Rabia Saleem

    2013-02-20

    This paper is devoted to check validity of the laws of thermodynamics for LRS Bianchi type I universe model which is filled with combination of dark matter and dark energy. We take two types of dark energy models, i.e., generalized holographic dark energy and generalized Ricci dark energy. It is proved that the first and generalized second law of thermodynamics are valid on the apparent horizon for both the models. Further, we take fixed radius $L$ of the apparent horizon with original holographic or Ricci dark energy. We conclude that the first and generalized second laws of thermodynamics do not hold on the horizon of fixed radius $L$ for both the models.

  2. Decision Models for Bulk Energy Transportation Networks

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    & pipelines · Coal mines & rail/barges · Storage · Electricity market · Electric gen & trans · Costs ... ... Primary Energy Supplies Gas Coal Railroad, Barge ... ... Storage & Transportation Systems Energy Transportation Networks #12;Structural Model: Energy Flows GAS COAL ELECTRIC Case A: 2002

  3. Energy of Einstein's static universe and its implications for the ?CDM cosmology

    SciTech Connect (OSTI)

    Mitra, Abhas, E-mail: amitra@barc.gov.in [Astrophysical Sciences Division, Bhabha Atomic Research Centre, Mumbai-400085 (India)

    2013-03-01

    The total Einstein energy (P{sub 0}) of a homogeneous and isotropic universe can be computed by using an appropriate superpotential (Rosen 1994) and also by a direct method (Mitra 2010). Irrespective of the physical significance of P{sub 0}, its eventual numerical value must be same in both the cases because both are derived from the same Einstein pseudo tensor and by employing the same coordinates. It follows then that the static isotropic and homogeneous universe, i.e., Einstein's static universe (ESU), must have an infinite radius and which tantamounts to a spatially flat case. The physical significance of this result is that the cosmological constant, ?, is actually zero and ESU is the vacuous Minkowski spacetime. It is the same result which has recently been obtained in a completely independent manner (Mitra, Bhattacharyya and Bhatt 2013). Thus even though, mathematically, one can conceive of a static 3-sphere for the foundation of relativistic cosmology, physically, no such 3-sphere exists. On the other hand, the spatial section of the universe could essentially be an Euclidean space with local curvature spikes due to presence of lumpy matter. Since the ''Dark Energy'' is associated with ? in the ?CDM model, the result obtained here suggests that it is an artifact of departure of the lumpy and fractal universe from the ideal Friedmann Robertson Walker model (Jackson et al. 2012, Cowley et al. 2013)

  4. Energy Policy The university is committed to reducing its consumption of energy and promoting low carbon, energy

    E-Print Network [OSTI]

    Haase, Markus

    and promoting low carbon, energy saving and energy efficiency initiatives as part of its Sustainable Development efficiency - Promote the use of on-site renewable energy systems on new developments to produce at least 10 by the Director of Estates via the university's Sustainable resource (carbon/energy) usage and supply activity

  5. High Energy Colliders as Tools to Understand the Early Universe

    SciTech Connect (OSTI)

    Tait, Tim (ANL) [ANL

    2008-08-16

    Cosmological observations have reached a new era of precision, and reveal many interesting and puzzling features of the Universe. I will briefly review two of the most exciting mysteries: the nature of the dark components of the Universe, and the origin of the asymmetry between matter and anti-matter. I will argue that our best hope of unraveling these questions will need to combine information from the heavens with measurements in the lab at high energy particle accelerators. The end of run II of the Tevatron, the up-coming Large Hadron Collider and proposed International Linear Collider all have great potential to help us answer these questions in the near future.

  6. The power-law expansion universe and dark energy evolution

    E-Print Network [OSTI]

    Yi-Huan Wei

    2005-02-03

    In order to depict the transition from deceleration to acceleration expansion of the universe we use a power-law expansion scale factor, $a\\sim t^{n_0+bt^m}$, with $n_0$, $b$ and $m$ three parameters determined by $H_0$, $q_0$ and $z_T$. For the spatially flat, isotropic and homogeneous universe, such a scale factor leads to the results that the dark energy density is slowly changing currently, and predicts the equation of state $w_X$ changes from $w_X>-1$ to $w_X<-1$.

  7. Helsinki University of Technology Department of Mechanical Engineering Energy Engineering and Environmental Protection Publications

    E-Print Network [OSTI]

    Zevenhoven, Ron

    Helsinki University of Technology Department of Mechanical Engineering Energy Engineering Antti Tohka, Ron Zevenhoven Helsinki University of Technology Department of Mechanical Engineering Energy Engineering and Environmental Protection #12;2 Espoo, April 2002 ISSN 1457 ­ 9944 ISBN 951 ­ 22

  8. Graviton Dominated Eras of Universe Evolution, Inflation and Dark Energy

    E-Print Network [OSTI]

    Leonid Marochnik

    2015-10-01

    This review represents an attempt to gather together new and published results of instanton theory of gravitons with an emphasis on their cosmological applications (inflation and dark energy). The empty space (with no matter fields) is not really empty because of natural quantum metric fluctuations, i.e. gravitons. It is shown that in the homogeneous isotropic empty Universe gravitons can be tunneled into Euclidean space of imaginary time through a topologically impenetrable barrier. They are damped there, giving their energy to the formation of the self-consistent de Sitter state, which is invariant with respect to the Wick rotation. The latter suggests that it is formed in real time too, and its appearance there can be considered as tunneling from nothing. The present Universe is already ~70% empty so that the effects associated with the emptiness of space must already be very noticeable, and they are (dark energy). The inflation most likely had to start from the vacuum state also. De Sitter accelerated expansion of the empty Universe naturally explains the origin of dark energy and inflation because at the start (inflation) and by the end (dark energy) of its evolution the Universe is empty. In distinction to scalar field theories, the CMB anisotropy of the order of 10^-5 is produced by fluctuations in the number of gravitons. The existence of a threshold and unique coincidence of topologically impenetrable barriers for tunneling takes place for the matter dominated epoch and De Sitter State only. These facts provide a solution to the coincidence problem. The theoretical prediction that the equation-of-state parameter should be w>-1 for inflation and wenergy is consistent with observational data. The mandatory use of imaginary time (and then back to real time) suggests that time could be a complex variable, and this fact has a deep but still not understood meaning

  9. Models and Tools for Evaluating Energy Efficiency and Renewable...

    Energy Savers [EERE]

    Models and Tools for Evaluating Energy Efficiency and Renewable Energy Programs Webinar Models and Tools for Evaluating Energy Efficiency and Renewable Energy Programs Webinar May...

  10. Multiscale modeling of spatially variable water and energy balance processes

    E-Print Network [OSTI]

    Famiglietti, J. S; Wood, E. F

    1994-01-01

    MULTISCALE WATER AND ENERGY BALANCE MODELING Wood, E. F. ,spatially variable water and energy balance processes J. S.modeling. Water and energy balance models are developed at

  11. Multiscale modeling of spatially variable water and energy balance processes

    E-Print Network [OSTI]

    Famiglietti, JS; Wood, EF

    1994-01-01

    MULTISCALE WATER AND ENERGY BALANCE MODELING Wood, E. F. ,MULTISCALE WATER AND ENERGY BALANCE MODELING cess runoff,models of water and energy balance, Ph.D. dissertation,

  12. Multiscale modeling of spatially variable water and energy balance processes

    E-Print Network [OSTI]

    Famiglietti, J. S; Wood, E. F

    1994-01-01

    AND WOOD: MULTISCALE WATER AND ENERGY BALANCE MODELING Wood,of spatially variable water and energy balance processes J.hydrological modeling. Water and energy balance models are

  13. Energy Distribution of a Schwarzschild Black Hole in a Magnetic Universe

    E-Print Network [OSTI]

    Irina Radinschi

    2000-10-25

    We obtain the energy distribution of a Schwarzschild black hole in a magnetic universe in the Tolman prescription.

  14. Chrome Deposit Corporation and the University of Delaware IAC: Another Energy Efficiency Success Story

    Broader source: Energy.gov [DOE]

    Following an Energy Savings Assessment conducted by the University of Delaware's Industrial Assessment Center, Chrome Deposit Corporation's Newark, DE plant is seeing significant energy savings.

  15. Texas A&M University | OSTI, US Dept of Energy, Office of Scientific...

    Office of Scientific and Technical Information (OSTI)

    and industry to define and solve energy problems. Read more Bioenergy * Electric Power * Energy Efficiency Geothermal * Nuclear * Oil & Gas * Solar * Wind Texas A&M University...

  16. Determination of total mechanical energy of the universe within the framework of Newtonian mechanics

    E-Print Network [OSTI]

    Dimitar Valev

    2010-02-23

    The recent astronomical observations indicate that the expanding universe having a finite particle horizon is homogeneous, isotropic and asymptotically flat. The Euclidean geometry of the universe enables to determine the total kinetic and gravitational energies of the universe within the framework of the Newtonian mechanics. It has been shown that almost the entire kinetic energy of the universe ensues from the cosmological expansion. Both, the total kinetic and gravitational energies of the universe have been determined in relation to an observer at arbitrary location. It is amazing that the modulus of the total gravitational energy differs from the total kinetic energy with a multiplier close to a unit. Thus, the total mechanical energy of the universe has been found close to zero. Both, the total kinetic energy and the modulus of total gravitational energy of the universe are estimated to 3/10 of its total rest energy M*c^2.

  17. Renewable Energy in Central & Eastern Europe Vienna University of Technology I Energiepark Bruck/Leitha

    E-Print Network [OSTI]

    Arnold, Anton

    Renewable Energy in Central & Eastern Europe CONTINUING EDUCATION CENTER Vienna University is currently not sustainable. Renewable energy sources as well as more effiicient ways to use energy "Renewable Energy in Central & Eastern Europe" is, to contribute significantly to this process

  18. Sudden Future Singularity models as an alternative to Dark Energy?

    E-Print Network [OSTI]

    Ghodsi, Hoda; Dabrowski, Mariusz P; Denkiewicz, Tomasz

    2011-01-01

    Current observational evidence does not yet exclude the possibility that dark energy could be in the form of phantom energy. A universe consisting of a phantom constituent will be driven toward a drastic end known as the `Big Rip' singularity where all the matter in the universe will be destroyed. Motivated by this possibility, other evolutionary scenarios have been explored by Barrow, including the phenomena which he called Sudden Future Singularities (SFS). In such a model it is possible to have a blow up of the pressure occurring at sometime in the future evolution of the universe while the energy density would remain unaffected. The particular evolution of the scale factor of the universe in this model that results in a singular behaviour of the pressure also admits acceleration in the current era. In this paper we will present the results of our confrontation of one example class of SFS models with the available cosmological data from high redshift supernovae, baryon acoustic oscillations (BAO) and the c...

  19. University of Wisconsin Madison !Solar Energy Laboratory !Slide 1! John Edlebeck

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    University of Wisconsin ­ Madison !Solar Energy Laboratory !Slide 1! John Edlebeck M@wisc.edu Hometown: Duluth, MN #12;University of Wisconsin ­ Madison !Solar Energy Laboratory !Slide 2 " · Fabricate and test optimized seal geometries " #12;University of Wisconsin ­ Madison !Solar Energy

  20. Analytical Modeling | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin: EnergyYork Jump to:HempsteadtemporalAnalytical Modeling Jump to:

  1. Sandia Energy - Modeling & Analysis

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid ActionModeling

  2. Sandia Energy - Modeling & Analysis

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid ActionModeling

  3. Probing Dark Energy models with neutrons

    E-Print Network [OSTI]

    G. Pignol

    2015-03-11

    There is a deep connection between cosmology -- the science of the infinitely large --and particle physics -- the science of the infinitely small. This connection is particularly manifest in neutron particle physics. Basic properties of the neutron -- its Electric Dipole Moment and its lifetime -- are intertwined with baryogenesis and nucleosynthesis in the early Universe. I will cover this topic in the first part, that will also serve as an introduction (or rather a quick recap) of neutron physics and Big Bang cosmology. Then, the rest of the manuscript will be devoted to a new idea: using neutrons to probe models of Dark Energy. In the second part, I will present the chameleon theory: a light scalar field accounting for the late accelerated expansion of the Universe, which interacts with matter in such a way that it does not mediate a fifth force between macroscopic bodies. However, neutrons can alleviate the chameleon mechanism and reveal the presence of the scalar field with properly designed experiments. In the third part, I will describe a recent experiment performed with a neutron interferometer at the Institut Laue Langevin that sets already interesting constraints on the chameleon theory. Last, the chameleon field can be probed by measuring the quantum states of neutrons bouncing over a mirror. In the fourth part I will present the status and prospects of the GRANIT experiment at the ILL.

  4. Probing Dark Energy models with neutrons

    E-Print Network [OSTI]

    G. Pignol

    2015-09-16

    There is a deep connection between cosmology -- the science of the infinitely large --and particle physics -- the science of the infinitely small. This connection is particularly manifest in neutron particle physics. Basic properties of the neutron -- its Electric Dipole Moment and its lifetime -- are intertwined with baryogenesis and nucleosynthesis in the early Universe. I will cover this topic in the first part, that will also serve as an introduction (or rather a quick recap) of neutron physics and Big Bang cosmology. Then, the rest of the manuscript will be devoted to a new idea: using neutrons to probe models of Dark Energy. In the second part, I will present the chameleon theory: a light scalar field accounting for the late accelerated expansion of the Universe, which interacts with matter in such a way that it does not mediate a fifth force between macroscopic bodies. However, neutrons can alleviate the chameleon mechanism and reveal the presence of the scalar field with properly designed experiments. In the third part, I will describe a recent experiment performed with a neutron interferometer at the Institut Laue Langevin that sets already interesting constraints on the chameleon theory. Last, the chameleon field can be probed by measuring the quantum states of neutrons bouncing over a mirror. In the fourth part I will present the status and prospects of the GRANIT experiment at the ILL.

  5. Cosmological degeneracy versus cosmography: a cosmographic dark energy model

    E-Print Network [OSTI]

    Orlando Luongo; Giovanni Battista Pisani; Antonio Troisi

    2015-12-22

    In this work we use cosmography to alleviate the degeneracy among cosmological models, proposing a way to parameterize matter and dark energy in terms of cosmokinematics quantities. The recipe of using cosmography allows to expand observable quantities in Taylor series and to directly compare those expansions with data. We adopt this strategy and we propose a fully self-consistent parametrization of the total energy density driving the late time universe speed up. Afterwards, we describe a feasible \\emph{cosmographic dark energy model}, in which matter is fixed whereas dark energy evolves by means of the cosmographic series. Our technique provides robust constraints on cosmokinematic parameters, permitting one to separately bound matter from dark energy densities. Our cosmographic dark energy model turns out to be one parameter only, but differently from the $\\Lambda$CDM paradigm, it does not contain ansatz on the dark energy form. In addition, we even determine the free parameter of our model in suitable $1\\sigma$ intervals through Monte Carlo analyses based on the Metropolis algorithm. We compare our results with the standard concordance model and we find that our treatment seems to indicate that dark energy slightly evolves in time, reducing to a pure cosmological constant only as $z\\rightarrow0$.

  6. Texas Tech University Energy Savings Program October 2009 Update

    E-Print Network [OSTI]

    Zhuang, Yu

    .08 49.11 Down 1.9% $ 117,300 Natural Gas 16.19 17.26 Up 6.6% ($ 22,700) Steam 59.47 54.88 Down 7 and natural gas. As a result of that order, Texas Tech University established the following goals related (Vehicles) In FY06, Governor Perry's Executive Order RP-49 required agencies to establish an energy

  7. Modelling the Nonlinear Gravitational Clustering in the Expanding Universe

    E-Print Network [OSTI]

    T. Padmanabhan

    1995-08-26

    The gravitational clustering of collisionless particles in an expanding universe is modelled using some simple physical ideas. I show that it is indeed possible to understand the nonlinear clustering in terms of three well defined regimes: (1) linear regime (2) quasilinear regime which is dominated by scale-invariant radial infall and (3) nonlinear regime dominated by nonradial motions and mergers. Modelling each of these regimes separately I show how the nonlinear two point correlation function can be related to the linear correlation function in heirarchical models. This analysis leads to results which are in good agreement with numerical simulations thereby providing an explanation for numerical results. The ideas presented here will also serve as a powerful anlytical tool to investigate nonlinear clustering in different models. Several implications of the result are discussed.

  8. Puzzles of the dark energy in the universe - phantom

    E-Print Network [OSTI]

    Mariusz P. Dabrowski

    2014-12-30

    This paper is devoted to some simple approach based on general physics tools to describe the physical properties of a hypothetical particle which can be the source of dark energy in the Universe known as phantom. Phantom is characterized by the fact that it possesses negative momentum and kinetic energy and that it gives large negative pressure which acts as antigravity. We consider phantom harmonic oscillator in comparison to a standard harmonic oscillator. By using the first law of thermodynamics we explain why the energy density of the Universe grows when it is filled with phantom. We also show how the collision of phantom with a standard particle leads to exploration of energy from the former by the latter (i.e. from phantom to the standard) if their masses are different. The most striking of our conclusions is that the collision of phantom and standard particles of the same masses is impossible unless both of them are at rest and suddenly start moving with the opposite velocities and kinetic energies. This effect is a classic analogue of a quantum mechanical particle pair creation in a strong electric field or in physical vacuum.

  9. University Park, Florida: Energy Resources | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower Jump to:Florida: Energy

  10. Nuclear Energy University Program Documents | Department of Energy

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 News enDepartment of Energy101 is aDOE's

  11. Process modeling and industrial energy use

    SciTech Connect (OSTI)

    Howe, S O; Pilati, D A; Sparrow, F T

    1980-11-01

    How the process models developed at BNL are used to analyze industrial energy use is described and illustrated. Following a brief overview of the industry modeling program, the general methodology of process modeling is discussed. The discussion highlights the important concepts, contents, inputs, and outputs of a typical process model. A model of the US pulp and paper industry is then discussed as a specific application of process modeling methodology. Case study results from the pulp and paper model illustrate how process models can be used to analyze a variety of issues. Applications addressed with the case study results include projections of energy demand, conservation technology assessment, energy-related tax policies, and sensitivity analysis. A subsequent discussion of these results supports the conclusion that industry process models are versatile and powerful tools for energy end-use modeling and conservation analysis. Information on the current status of industry models at BNL is tabulated.

  12. Evaluating Energy Efficiency Policies with Energy-Economy Models

    SciTech Connect (OSTI)

    Mundaca, Luis; Neij, Lena; Worrell, Ernst; McNeil, Michael A.

    2010-08-01

    The growing complexities of energy systems, environmental problems and technology markets are driving and testing most energy-economy models to their limits. To further advance bottom-up models from a multidisciplinary energy efficiency policy evaluation perspective, we review and critically analyse bottom-up energy-economy models and corresponding evaluation studies on energy efficiency policies to induce technological change. We use the household sector as a case study. Our analysis focuses on decision frameworks for technology choice, type of evaluation being carried out, treatment of market and behavioural failures, evaluated policy instruments, and key determinants used to mimic policy instruments. Although the review confirms criticism related to energy-economy models (e.g. unrealistic representation of decision-making by consumers when choosing technologies), they provide valuable guidance for policy evaluation related to energy efficiency. Different areas to further advance models remain open, particularly related to modelling issues, techno-economic and environmental aspects, behavioural determinants, and policy considerations.

  13. BFEPM:Best Fit Energy Prediction Modeling Based on CPU Utilization Xiao Zhang, Jianjun Lu, Xiao Qin

    E-Print Network [OSTI]

    Qin, Xiao

    BFEPM:Best Fit Energy Prediction Modeling Based on CPU Utilization Xiao Zhang, Jianjun Lu, Xiao Qin BFEPM, a best fit energy prediction model. It choose best model based on the power consumption benchmark Engineering Auburn University Auburn, AL USA 36849-5347 Email: xqin@auburn.edu Abstract--Energy cost becomes

  14. Quantum Thermodynamics, Entropy of the Universe, Free Energy, and the Second Law

    E-Print Network [OSTI]

    George L. Barnes; Michael E. Kellman

    2015-11-19

    We take the view that the standard von Neumann definition, in which the entropy $S^{vN}$ of a pure state is zero, is in evident conflict with the statement of the second law that the entropy of the universe $S_{univ}$ increases in spontaneous processes, $ \\Delta S_{univ} > 0$. Here we seek an alternative entropy of the universe $S_{univ}$ that is in accord with the second law, in a spirit not dissimilar to von Neumann himself in lesser-known work. We perform simulations of time dependent dynamics for a previously developed \\cite{polyadbath} model quantum system becoming entangled with a quantum environment. We test the new definition of the entropy of the system-environment "universe" against the standard thermodynamic relation $ \\Delta F_{sys} = - T \\Delta S_{univ} $, calculating system properties using the reduced density matrix and standard von Neumann entropy. Good agreement is obtained, showing the compatibility of an entropy for a pure state of a universe with the statement of the second law and the concept of free energy. Interesting deviation from microcanonical behavior within the zero order energy shell is observed in a context of effectively microcanonical behavior within the much larger total basis of the time dependent universe.

  15. Modeling the Energy Efficiency of Heterogeneous Clusters

    E-Print Network [OSTI]

    Teo, Yong-Meng

    are an alternative for energy-efficient clusters [18], [20], [23]. On the contrary, other researchersModeling the Energy Efficiency of Heterogeneous Clusters Lavanya Ramapantulu, Bogdan Marius Tudor analyze the energy efficiency of mixing high-performance and low-power nodes in a cluster. Using a model

  16. Decision Models for Bulk Energy Transportation Networks

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    ... ... Primary Energy Supplies Gas Coal Railroad, Barge ... ... Storage & Transportation Systems Energy Transportation Networks #12;Structural Model: Energy Flows GAS COAL ELECTRIC Case A: 2002, and the amount of electricity generated #12;Structural Model: Effects of Katrina Average natural gas nodal price

  17. Approximations to the Distributed Activation Energy Model

    E-Print Network [OSTI]

    Approximations to the Distributed Activation Energy Model for Pyrolysis C.P. Please, 1 M.J. Mc, then resubmitted after minor revisions in September 2002. Abstract The Distributed Activation Energy Model (DAEM effective method for estimating kinetic parameters and the distribution of activation energies. Comparison

  18. Curvature-based energy for simulation and variational modeling Denis Zorin

    E-Print Network [OSTI]

    Mohri, Mehryar

    Curvature-based energy for simulation and variational modeling Denis Zorin New York University 719 Broadway, 12th floor New York, New York, 10012 dzorin@mrl.nyu.edu Abstract Curvature-based energy to their simplicity and low computational cost. Both types of approaches have found applications in geometric modeling

  19. University of Delaware Energy Institute Inauguration | Department of Energy

    Energy Savers [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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLEStatutoryin theNuclear Energy Research

  20. Energy Flow Models for the Steel Industry 

    E-Print Network [OSTI]

    Hyman, B.; Andersen, J. P.

    1998-01-01

    Energy patterns in the U. S. steel industry are examined using several models. First is an end-use model based on data in the 1994 Manufacturing Energy Consumption Survey (MECS). Then a seven-step process model is presented and material flow through...

  1. Discrimination of Near-Native Protein Structures From Misfolded Models by Empirical Free Energy Functions

    E-Print Network [OSTI]

    Vajda, Sandor

    Discrimination of Near-Native Protein Structures From Misfolded Models by Empirical Free Energy University, Boston, Massachusetts ABSTRACT Free energy potentials, combining molecular mechanics of discrimination that in- clude the correlation coefficient between RMSD and free energy, and a new measure labeled

  2. Directory of Energy Information Administration Models 1994

    SciTech Connect (OSTI)

    Not Available

    1994-07-01

    This directory revises and updates the 1993 directory and includes 15 models of the National Energy Modeling System (NEMS). Three other new models in use by the Energy Information Administration (EIA) have also been included: the Motor Gasoline Market Model (MGMM), Distillate Market Model (DMM), and the Propane Market Model (PPMM). This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses and requirements. Sources for additional information are identified. Included in this directory are 37 EIA models active as of February 1, 1994.

  3. Directory of Energy Information Administration models 1996

    SciTech Connect (OSTI)

    NONE

    1996-07-01

    This directory revises and updates the Directory of Energy Information Administration Models 1995, DOE/EIA-0293(95), Energy Information Administration (EIA), U.S. Department of Energy, July 1995. Four models have been deleted in this directory as they are no longer being used: (1) Market Penetration Model for Ground-Water Heat Pump Systems (MPGWHP); (2) Market Penetration Model for Residential Rooftop PV Systems (MPRESPV-PC); (3) Market Penetration Model for Active and Passive Solar Technologies (MPSOLARPC); and (4) Revenue Requirements Modeling System (RRMS).

  4. University Heights, Ohio: Energy Resources | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower Jump to:

  5. University Park, Illinois: Energy Resources | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower Jump to:Florida:

  6. University Park, Maryland: Energy Resources | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower Jump to:Florida:Maryland:

  7. University Park, Texas: Energy Resources | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPower Jump

  8. University of Wisconsin Energy Institute | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power Company JumpGeoPowerMichigan JumpSouthInstitute

  9. University Park, New Mexico: Energy Resources | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark Community Solar LLCNew

  10. University of Delaware Institute of Energy Conversion | Open Energy

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark Community

  11. University of Southern California-Energy Institute | Open Energy

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnited States: Energy ResourcesPark-- MorrisPittsburgh

  12. Washington State University Extension Energy Program | Open Energy

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland: Energy Resources JumpWashington

  13. Decision Models for Bulk Energy Transportation

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Decision Models for Bulk Energy Transportation Networks James D. McCalley August 23, 2005 #12, and Electric Transportation Systems (1) What energy flow patterns would yield significantly improved energy (ISU - Randy Larabee) · City of Ames (Ames - Merlin Hove) · MidAmerican Energy (Des Moines - Alan O

  14. Modeling Energy Demand Aggregators for Residential Consumers

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Modeling Energy Demand Aggregators for Residential Consumers G. Di Bella, L. Giarr`e, M. Ippolito, A. Jean-Marie, G. Neglia and I. Tinnirello § January 2, 2014 Abstract Energy demand aggregators- response paradigm. When the energy provider needs to reduce the current energy demand on the grid, it can

  15. World Energy Projection System Plus Model Documentation: Transportation Model

    Reports and Publications (EIA)

    2011-01-01

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

  16. World Energy Projection System Plus Model Documentation: Industrial Model

    Reports and Publications (EIA)

    2011-01-01

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

  17. World Energy Projection System Plus Model Documentation: Residential Model

    Reports and Publications (EIA)

    2011-01-01

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

  18. World Energy Projection System Plus Model Documentation: World Electricity Model

    Reports and Publications (EIA)

    2011-01-01

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

  19. World Energy Projection System Plus Model Documentation: Commercial Model

    Reports and Publications (EIA)

    2011-01-01

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

  20. Modified holographic Ricci dark energy coupled to interacting relativistic and non-relativistic dark matter in the nonflat universe

    E-Print Network [OSTI]

    En-Kun Li; Yu Zhang; Jin-Ling Geng

    2014-12-16

    The modified holographic Ricci dark energy coupled to interacting relativistic and non-relativistic dark matter is considered in the nonflat Friedmann-Robertson-Walker universe. Through examining the deceleration parameter, one can find that the transition time of the Universe from decelerating to accelerating phase in the interacting holographic Ricci dark energy model is close to that in the $\\Lambda$ cold dark matter model. The evolution of modified holographic Ricci dark energy's state parameter and the evolution of dark matter and dark energy's densities shows that the dark energy holds the dominant position from the near past to the future. By studying the statefinder diagnostic and the evolution of the total pressure, one can find that this model could explain the Universe's transition from the radiation to accelerating expansion stage through the dust stage. According to the $Om$ diagnostic, it is easy to find that when the interaction is weak and the proportion of relativistic dark matter in total dark matter is small, this model is phantom-like. Through our studying, we find the interaction and the relativistic dark matter's proportion all have great influence on the evolution of the Universe.

  1. Renewable Energy and Efficiency Modeling Analysis Partnership: An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025

    E-Print Network [OSTI]

    Blair, N.

    2010-01-01

    COVERED (From - To) Renewable Energy and Efficiency Modelingphotovoltaics renewable energy renewable energy certificatecoordinated by the Renewable Energy and Efficiency Modeling

  2. Baryon Asymmetry of the Universe in the Minimal Standard Model

    E-Print Network [OSTI]

    Glennys R. Farrar; M. E. Shaposhnikov

    1993-05-17

    We calculate the baryon asymmetry of the Universe which would arise during a first order electroweak phase transition due to minimal standard model processes. It agrees in sign and magnitude with the observed baryonic excess, for resonable KM parameters and m$_t$ in the expected range, and plausible values of bubble velocity and other high temperature effects. A detailed version of this work (77pp) is being simultaneously submitted to the net. A shortened version of this recently appeared in Phys. Rev. Lett. {\\bf 70}, 2833, 1993.

  3. Hybrid Energy System Modeling in Modelica

    SciTech Connect (OSTI)

    William R. Binder; Christiaan J. J. Paredis; Humberto E. Garcia

    2014-03-01

    In this paper, a Hybrid Energy System (HES) configuration is modeled in Modelica. Hybrid Energy Systems (HES) have as their defining characteristic the use of one or more energy inputs, combined with the potential for multiple energy outputs. Compared to traditional energy systems, HES provide additional operational flexibility so that high variability in both energy production and consumption levels can be absorbed more effectively. This is particularly important when including renewable energy sources, whose output levels are inherently variable, determined by nature. The specific HES configuration modeled in this paper include two energy inputs: a nuclear plant, and a series of wind turbines. In addition, the system produces two energy outputs: electricity and synthetic fuel. The models are verified through simulations of the individual components, and the system as a whole. The simulations are performed for a range of component sizes, operating conditions, and control schemes.

  4. Building Energy Simulation & Modeling | Department of Energy

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

    Documents & Publications Architecture firm Skidmore, Owings & Merrill (SOM) used EnergyPlus to design a new 380,000 square foot federal office building in West Virginia. The...

  5. Accelerated Climate Modeling for Energy | Argonne Leadership...

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

    Credit: Alan Scott and Mark Taylor, Sandia National Laboratories Accelerated Climate Modeling for Energy PI Name: Mark Taylor PI Email: mataylo@sandia.gov Institution: Sandia...

  6. Dark Energy and Dark Matter Models

    E-Print Network [OSTI]

    Burra G. Sidharth

    2015-08-27

    We revisit the problems of dark energy and dark matter and several models designed to explain them, in the light of some latest findings.

  7. Dark Energy and Dark Matter Models

    E-Print Network [OSTI]

    Burra G. Sidharth

    2015-11-30

    We revisit the problems of dark energy and dark matter and several models designed to explain them, in the light of some latest findings.

  8. A new alternative model to dark energy

    E-Print Network [OSTI]

    Gong, Y; Duan, C K

    2004-01-01

    The recent observations of type Ia supernovae strongly support that the universe is accelerating now and decelerated in the recent past. This may be the evidence of the breakdown of the standard Friedmann equation. Instead of a linear function of the matter density, we consider a general function of the matter density to modify the Freidmann equation. We propose a new model which explains the recent acceleration and the past deceleration. Furthermore, the new model also gives a decelerated universe in the future. The new model gives $\\Omega_{m0}=0.46$ and $z_T=0.44$.

  9. A new alternative model to dark energy

    E-Print Network [OSTI]

    Yungui Gong; Xi-Ming Chen; Chang-Kui Duan

    2004-05-08

    The recent observations of type Ia supernovae strongly support that the universe is accelerating now and decelerated in the recent past. This may be the evidence of the breakdown of the standard Friedmann equation. Instead of a linear function of the matter density, we consider a general function of the matter density to modify the Freidmann equation. We propose a new model which explains the recent acceleration and the past deceleration. Furthermore, the new model also gives a decelerated universe in the future. The new model gives $\\Omega_{m0}=0.46$ and $z_T=0.44$.

  10. AQUIFER THERMAL ENERGY STORAGE. A NUMERICAL SIMULATION OF AUBURN UNIVERSITY FIELD EXPERIMENTS

    E-Print Network [OSTI]

    Tsang, Chin Fu

    2013-01-01

    C.F. , 1980, "Aquifer Thermal Energy - Parameter Study" (infrom the Auburn University Thermal Energy Storage , LBL No.studies in aquifer thermal energy , Presented at the ~~~~~~~

  11. UNIVERSITY OF CALGARY International Development Partnerships and Diffusion of Renewable Energy

    E-Print Network [OSTI]

    Maurer, Frank

    UNIVERSITY OF CALGARY International Development Partnerships and Diffusion of Renewable Energy, such as kerosene. Renewable energy technologies are being acknowledged as suitable solutions for remote rural into the nature of international NGO-driven development partnerships in rural renewable energy

  12. UNIVERSITY OF CALIFORNIA, BERKELEY ENERGY AND RESOURCES GROUP DANIEL M. KAMMEN

    E-Print Network [OSTI]

    Kammen, Daniel M.

    UNIVERSITY OF CALIFORNIA, BERKELEY ENERGY AND RESOURCES GROUP DANIEL M OF CALIFORNIA PROFESSOR IN THE ENERGY AND RESOURCES GROUP BERKELEY, CA 94720 and Appropriate Energy Lab (RAEL) http://rael.berkeley.edu Director, Transportation

  13. NUCLEAR ENERGY SYSTEM COST MODELING

    SciTech Connect (OSTI)

    Francesco Ganda; Brent Dixon

    2012-09-01

    The U.S. Department of Energy’s Fuel Cycle Technologies (FCT) Program is preparing to perform an evaluation of the full range of possible Nuclear Energy Systems (NES) in 2013. These include all practical combinations of fuels and transmuters (reactors and sub-critical systems) in single and multi-tier combinations of burners and breeders with no, partial, and full recycle. As part of this evaluation, Levelized Cost of Electricity at Equilibrium (LCAE) ranges for each representative system will be calculated. To facilitate the cost analyses, the 2009 Advanced Fuel Cycle Cost Basis Report is being amended to provide up-to-date cost data for each step in the fuel cycle, and a new analysis tool, NE-COST, has been developed. This paper explains the innovative “Island” approach used by NE-COST to streamline and simplify the economic analysis effort and provides examples of LCAE costs generated. The Island approach treats each transmuter (or target burner) and the associated fuel cycle facilities as a separate analysis module, allowing reuse of modules that appear frequently in the NES options list. For example, a number of options to be screened will include a once-through uranium oxide (UOX) fueled light water reactor (LWR). The UOX LWR may be standalone, or may be the first stage in a multi-stage system. Using the Island approach, the UOX LWR only needs to be modeled once and the module can then be reused on subsequent fuel cycles. NE-COST models the unit operations and life cycle costs associated with each step of the fuel cycle on each island. This includes three front-end options for supplying feedstock to fuel fabrication (mining/enrichment, reprocessing of used fuel from another island, and/or reprocessing of this island’s used fuel), along with the transmuter and back-end storage/disposal. Results of each island are combined based on the fractional energy generated by each islands in an equilibrium system. The cost analyses use the probability distributions of key parameters and employs Monte Carlo sampling to arrive at an island’s cost probability density function (PDF). When comparing two NES to determine delta cost, strongly correlated parameters can be cancelled out so that only the differences in the systems contribute to the relative cost PDFs. For example, one comparative analysis presented in the paper is a single stage LWR-UOX system versus a two-stage LWR-UOX to LWR-MOX system. In this case, the first stage of both systems is the same (but with different fractional energy generation), while the second stage of the UOX to MOX system uses the same type transmuter but the fuel type and feedstock sources are different. In this case, the cost difference between systems is driven by only the fuel cycle differences of the MOX stage.

  14. The China-in-Global Energy Model

    E-Print Network [OSTI]

    Qi, T.

    The China-in-Global Energy Model (C-GEM) is a global Computable General Equilibrium (CGE) model that captures the interaction of production, consumption and trade among multiple global regions and sectors – including five ...

  15. Sandia Energy - Reference Model Project (RMP)

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

    Project (RMP) Home Stationary Power Energy Conversion Efficiency Water Power Reference Model Project (RMP) Reference Model Project (RMP)Tara Camacho-Lopez2015-05-11T21:01:36+00:00...

  16. Modeling Renewable Energy Readiness: The UAE Context

    E-Print Network [OSTI]

    Choucri, Nazli

    Modeling technology policy is becoming an increasingly important capability to steer states and societies toward sustainability. This paper presents a simulation-modeling approach to evaluate renewable energy readiness, ...

  17. Sandia Energy - CEC Array Modeling

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

    turbulent kinetic energy and turbulent kinetic energy dissipation rate, New, advanced sediment dynamics routines, Augmented water quality modules, and The ability to design new...

  18. Secretary Chu Announces Nuclear Energy University Program Awards...

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

    and Safety Research Laboratory Idaho State University Infrastructure support for analytical and health physics laboratory instrumentation Kansas State University Reactor...

  19. Energy Band Model Based on Effective Mass

    E-Print Network [OSTI]

    Viktor Ariel

    2012-09-06

    In this work, we demonstrate an alternative method of deriving an isotropic energy band model using a one-dimensional definition of the effective mass and experimentally observed dependence of mass on energy. We extend the effective mass definition to anti-particles and particles with zero rest mass. We assume an often observed linear dependence of mass on energy and derive a generalized non-parabolic energy-momentum relation. The resulting non-parabolicity leads to velocity saturation at high particle energies. We apply the energy band model to free relativistic particles and carriers in solid state materials and obtain commonly used dispersion relations and experimentally confirmed effective masses. We apply the model to zero rest mass particles in graphene and propose using the effective mass for photons. Therefore, it appears that the new energy band model based on the effective mass can be applied to relativistic particles and carriers in solid state materials.

  20. Arizona State University TUV Rheinland JV | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminex A S JumpArchuletaArise TechnologiesEnergyUniversity TUV

  1. Aachen University of Applied Sciences | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAand Dalton JumpProgramInformationEnergyAG Jump to:ATAVG4University of

  2. Option Pricing Models c 2005 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 187

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    Option Pricing Models c 2005 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 187 If the world­1970) c 2005 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 188 The Setting · The no pricing model. c 2005 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 189 Terms and Approach · C

  3. A Model of Spacetime Emergence in the Early Universe

    E-Print Network [OSTI]

    Tysanner, Martin William

    2012-01-01

    EMERGENCE IN THE EARLY UNIVERSE A dissertation submitted inEmergence in the Early Universe by Martin W. Tysanner Thisearly evolution of a universe. Two di?erent considerations

  4. Universal low-energy behavior in three-body systems

    E-Print Network [OSTI]

    Dmitry K. Gridnev

    2015-03-03

    We consider a pairwise interacting quantum 3-body system in 3-dimensional space with finite masses and the interaction term $V_{12} + \\lambda(V_{13} + V_{23})$, where all pair potentials are assumed to be nonpositive. The pair interaction of the particles $\\{1,2\\}$ is tuned to make them have a zero energy resonance and no negative energy bound states. The coupling constant $\\lambda >0$ is allowed to take the values for which the particle pairs $\\{1,3\\}$ and $\\{2,3\\}$ have no bound states with negative energy. Let $\\lambda_{cr}$ denote the critical value of the coupling constant such that $E(\\lambda) \\to -0$ for $\\lambda \\to \\lambda_{cr}$, where $E(\\lambda)$ is the ground state energy of the 3-body system. We prove the theorem, which states that near $\\lambda_{cr}$ one has $E(\\lambda) = C (\\lambda-\\lambda_{cr})[\\ln (\\lambda-\\lambda_{cr})]^{-1}+$h.t., where $C$ is a constant and h.t. stands for "higher terms". This behavior of the ground state energy is universal (up to the value of the constant $C$), meaning that it is independent of the form of pair interactions.

  5. Modeling of battery energy storage in the National Energy Modeling System

    SciTech Connect (OSTI)

    Swaminathan, S.; Flynn, W.T.; Sen, R.K.

    1997-12-01

    The National Energy Modeling System (NEMS) developed by the U.S. Department of Energy`s Energy Information Administration is a well-recognized model that is used to project the potential impact of new electric generation technologies. The NEMS model does not presently have the capability to model energy storage on the national grid. The scope of this study was to assess the feasibility of, and make recommendations for, the modeling of battery energy storage systems in the Electricity Market of the NEMS. Incorporating storage within the NEMS will allow the national benefits of storage technologies to be evaluated.

  6. Modeling of Customer Adoption of Distributed Energy Resources

    E-Print Network [OSTI]

    Modeling of Customer Adoption of Distributed Energy Resources CALIFORNIA ENERGY COMMISSION Reliability Technology Solutions Modeling of Customer Adoption of Distributed Energy Resources Prepared the consequences. #12;#12;Modeling of Customer Adoption of Distributed Energy Resources iii Table of Contents

  7. Langston University - High Energy Physics (LU-HEP)

    SciTech Connect (OSTI)

    Snow, Dr., Joel [Langston Univ., OK (United States)

    2012-08-13

    This final report is presented by Langston University (LU) for the project entitled "Langston University High Energy Physics" (LUHEP) under the direction of principal investigator (PI) and project director Professor Joel Snow. The project encompassed high energy physics research performed at hadron colliders. The PI is a collaborator on the DZero experiment at Fermi National Accelerator Laboratory in Batavia, IL, USA and the ATLAS experiment at CERN in Geneva, Switzerland and was during the entire project period from April 1, 1999 until May 14, 2012. Both experiments seek to understand the fundamental constituents of the physical universe and the forces that govern their interactions. In 1999 as member of the Online Systems group for Run 2 the PI developed a cross-platform Python-based, Graphical User Interface (GUI) application for monitoring and control of EPICS based devices for control room use. This served as a model for other developers to enhance and build on for further monitoring and control tasks written in Python. Subsequently the PI created and developed a cross-platform C++ GUI utilizing a networked client-server paradigm and based on ROOT, the object oriented analysis framework from CERN. The GUI served as a user interface to the Examine tasks running in the D\\O\\ control room which monitored the status and integrity of data taking for Run 2. The PI developed the histogram server/control interface to the GUI client for the EXAMINE processes. The histogram server was built from the ROOT framework and was integrated into the D\\O\\ framework used for online monitoring programs and offline analysis. The PI developed the first implementation of displaying histograms dynamically generated by ROOT in a Web Browser. The PI's work resulted in several talks and papers at international conferences and workshops. The PI established computing software infrastructure at LU and U. Oklahoma (OU) to do analysis of DZero production data and produce simulation data for the experiment. Eventually this included the FNAL SAM data grid system, the SAMGrid (SG) infrastructure, and the Open Science Grid software stacks for computing and storage elements. At the end of 2003 Snow took on the role of global Monte Carlo production coordinator for the DØ experiment. A role which continues til this day. In January of 2004 Snow started working with the SAMGrid development team to help debug, deploy, and integrate SAMGrid with DØ Monte Carlo production. Snow installed and configured SG execution and client sites at LUHEP and OUHEP, and a SG scheduler site at LUHEP. The PI developed a python based GUI (DAJ) that acts as a front end for job submission to SAMGrid. The GUI interfaces to the DZero Mone Carlo (MC) request system that uses SAM to manage MC requests by the physics analysis groups. DAJ significantly simplified SG job submission and was deployed in DZero in an effort to increase the user base of SG. The following year was the advent of SAMGrid job submission to the Open Science Grid (OSG) and LHC Computing Grid (LCG) through a forwarding mechanism. The PI oversaw the integration of these grids into the existing production infrastructure. The PI developed an automatic MC (Automc) request processing system capable of operating without user intervention (other than getting grid credentials), and able to submit to any number of sites on various grids. The system manages production at all but 2 sites. The system was deployed at Fermilab and remains operating there today. The PI's work in distributed computing resulted in several talks at international conferences. UTA, OU, and LU were chosen as the collaborating institutions that form the Southwest Tier 2 Center (SWT2) for ATLAS. During the project period the PI contributed to the online and offline software infrastructure through his work with the Run 2 online group, and played a major role in Monte Carlo production for DZero. During the part of the project period in which the PI served as MC production coordinator MC production increased very significantly. In the first year of the PI'

  8. High Energy Physics at the University of Illinois

    SciTech Connect (OSTI)

    Liss, Tony M.; Thaler, Jon J.

    2013-07-26

    This is the final report for DOE award DE-FG02-91ER40677 (“High Energy Physics at the University of Illinois”), covering the award period November 1, 2009 through April 30, 2013. During this period, our research involved particle physics at Fermilab and CERN, particle physics related cosmology at Fermilab and SLAC, and theoretical particle physics. Here is a list of the activities described in the final report: * The CDF Collaboration at the Fermilab Tevatron * Search For Lepton Flavor Violation in the Mu2e Experiment At Fermilab * The ATLAS Collaboration at the CERN Large Hadron Collider * the Study of Dark Matter and Dark Energy: DES and LSST * Lattice QCD * String Theory and Field Theory * Collider Phenomenology

  9. Building Energy Modeling | 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 on Delicious Rank EERE:FinancingPetroleum Based Fuels| Department of EnergyEmerging Technologies » Building Energy

  10. City of Toronto Enterprise Stereoscopic Model (ESM): York University (Toronto, Ontario)

    E-Print Network [OSTI]

    Title: City of Toronto Enterprise Stereoscopic Model (ESM): York University (Toronto, Ontario) Data): Toronto, Ontario Keywords (Subject): Buildings, Land Use, Vegetation, Pipelines, Recreational Areas, Curbs, Coniferous Tree, Deciduous Tree, York University (Toronto, Ontario) #12;Restrictions: Data is licensed

  11. Visual Tracking via Adaptive Structural Local Sparse Appearance Model Dalian University of Technology

    E-Print Network [OSTI]

    Yang, Ming-Hsuan

    Visual Tracking via Adaptive Structural Local Sparse Appearance Model Xu Jia Dalian University of Technology jiaxu1986@mail.dlut.edu.cn Huchuan Lu Dalian University of Technology lhchuan@dlut.edu.cn Ming

  12. Robust Object Tracking via Sparsity-based Collaborative Model Dalian University of Technology

    E-Print Network [OSTI]

    Yang, Ming-Hsuan

    Robust Object Tracking via Sparsity-based Collaborative Model Wei Zhong Dalian University of Technology zhongwei@mail.dlut.edu.cn Huchuan Lu Dalian University of Technology lhchuan@dlut.edu.cn Ming

  13. Sandia Energy - A Model for the Nation: Promoting Education and...

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

    Renewable Energy Energy Surety Climate Energy Partnership News Wind Energy Photovoltaic Solar Customers & Partners Publications A Model for the Nation: Promoting Education and...

  14. Viva Energía! Energy Department Partners with the University of Puerto Rico

    Broader source: Energy.gov [DOE]

    As one of the leading research institutions in Puerto Rico, the University of Puerto Rico has the largest and most diverse academic offerings on the Carribean island. And now -- thanks to funding from the Recovery Act -- the university is undertaking several energy conservation and renewable energy projects that will reduce the school's energy costs by $230,000 a year.

  15. A Method for Simulating Heat Recovery Systems Using AirModel in Implementations of the ASHRAE Simplified Energy Analysis Procedure 

    E-Print Network [OSTI]

    Liu, C.; Zeig, M.; Claridge, D. E.; Wei, G.; Bruner, H.; Turner, W. D.

    2005-01-01

    A Method for Simulating Heat Recovery Systems Using AirModel in Implementations of the ASHRAE Simplified Energy Analysis Procedure Chenggang Liu Research Associate Energy Systems Laboratory Texas A&M University College Station, TX Marvin..., TX W. Dan Turner, Ph.D., P.E. Professor & Director Energy Systems Laboratory Texas A&M University College Station, TX Abstract A method for simulating heat recovery systems using AirModel in implementations of the ASHRAE simplified...

  16. Reference Model 6 (RM6): Oscillating Wave Energy Converter.

    SciTech Connect (OSTI)

    Bull, Diana L; Smith, Chris; Jenne, Dale Scott; Jacob, Paul; Copping, Andrea; Willits, Steve; Fontaine, Arnold; Brefort, Dorian; Gordon, Margaret Ellen; Copeland, Robert; Jepsen, Richard A.

    2014-10-01

    This report is an addendum to SAND2013-9040: Methodology for Design and Economic Analysis of Marine Energy Conversion (MEC) Technologies. This report describes an Oscillating Water Column Wave Energy Converter reference model design in a complementary manner to Reference Models 1-4 contained in the above report. In this report, a conceptual design for an Oscillating Water Column Wave Energy Converter (WEC) device appropriate for the modeled reference resource site was identified, and a detailed backward bent duct buoy (BBDB) device design was developed using a combination of numerical modeling tools and scaled physical models. Our team used the methodology in SAND2013-9040 for the economic analysis that included costs for designing, manufacturing, deploying, and operating commercial-scale MEC arrays, up to 100 devices. The methodology was applied to identify key cost drivers and to estimate levelized cost of energy (LCOE) for this RM6 Oscillating Water Column device in dollars per kilowatt-hour (%24/kWh). Although many costs were difficult to estimate at this time due to the lack of operational experience, the main contribution of this work was to disseminate a detailed set of methodologies and models that allow for an initial cost analysis of this emerging technology. This project is sponsored by the U.S. Department of Energy's (DOE) Wind and Water Power Technologies Program Office (WWPTO), within the Office of Energy Efficiency & Renewable Energy (EERE). Sandia National Laboratories, the lead in this effort, collaborated with partners from National Laboratories, industry, and universities to design and test this reference model.

  17. Building Energy Modeling Projects | Department of Energy

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulation at the Edge of aCamberlyEnergy Amir Roth,

  18. Building Energy Modeling | Department of Energy

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment|Marketing, LLC |EnergycurrentlyJuneEnergyAssistantAssetAbout the

  19. Building Energy Modeling (BEM) Overview

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

    amir.roth@ee.doe.gov BEM is a Fundamental Energy-Efficiency Technology BEM calculates energy use from description of assets & operations * Predictive if all major inputs are...

  20. Estimating home energy decision parameters for a hybrid energyYeconomy policy model

    E-Print Network [OSTI]

    , household energy demand, hybrid energy model, bottom-up energy model 1. Introduction: energy a variety of energyYeconomy models are available to forecast the effectiveness of energy and envi- ronmentEstimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard

  1. Role of generalized Ricci dark energy on Chameleon field in the emergent universe

    E-Print Network [OSTI]

    Surajit Chattopadhyay; Ujjal Debnath

    2011-07-14

    In this paper, we have considered the generalized Ricci dark energy (GRDE) and generalized holographic dark energy (GHDE) in the scenario of emergent universe. Fractional energy density and deceleration parameters for GRDE were derived under emergent universe scenario. Also role of GRDE on the Chameleon field in the emergent universe scenario has been examined. Finally, the behaviours of the Chameleon scalar field $\\phi$, corresponding potential $V$ and associated function $f$ were investigated in presence of GRDE.

  2. Evolution of the galaxy merger rate in model universes

    E-Print Network [OSTI]

    Abilio Mateus

    2008-02-20

    We investigate the evolution of the galaxy merger rate predicted by two semi-analytical galaxy formation models implemented on the Millennium Simulation of dark matter structure growth. The fraction of merging galaxy pairs at each time-step of the simulation is derived from the galaxy catalogues obtained by the models and the results are compared with various observational estimates of merger fractions taken from the literature. We find a good match between the pair fractions derived from the simulation and the observed counting of galaxy pairs obtained by different sources in the redshift range 0 evolution of the number of galaxy mergers per Gyr grows with redshift as an exponential rate proportional to (1+z)^m, with m ranging from 0.6 to 0.8 for 0 evolution in the fraction of galaxy mergers since z ~ 1.2. The weak evolution predicted for the galaxy merger rate in an hierarchical model universe shows that the mass assembly evolution of galaxies through mergers does not follow the rapid evolution of the halo merger rate obtained in previous studies.

  3. On the internal consistency of holographic dark energy models

    SciTech Connect (OSTI)

    Horvat, R

    2008-10-15

    Holographic dark energy (HDE) models, underpinned by an effective quantum field theory (QFT) with a manifest UV/IR connection, have become convincing candidates for providing an explanation of the dark energy in the universe. On the other hand, the maximum number of quantum states that a conventional QFT for a box of size L is capable of describing relates to those boxes which are on the brink of experiencing a sudden collapse to a black hole. Another restriction on the underlying QFT is that the UV cut-off, which cannot be chosen independently of the IR cut-off and therefore becomes a function of time in a cosmological setting, should stay the largest energy scale even in the standard cosmological epochs preceding a dark energy dominated one. We show that, irrespective of whether one deals with the saturated form of HDE or takes a certain degree of non-saturation in the past, the above restrictions cannot be met in a radiation dominated universe, an epoch in the history of the universe which is expected to be perfectly describable within conventional QFT.

  4. Baryon Asymmetry of the Universe in the Standard Model

    E-Print Network [OSTI]

    Glennys R. Farrar; M. E. Shaposhnikov

    1993-11-22

    We study the interactions of quarks and antiquarks with the changing Higgs field during the electroweak phase transition, including quantum mechanical and some thermal effects, with the only source of CP violation being the known CKM phase. The magnitude and sign of the predicted BAU agrees with the observed value, with moderately optimistic assumptions about the dynamics of the phase transition. At present uncertainties related to the dynamics of the ew phase transition and the oversimplifications of our treatment are too great to decide whether or not this is the correct explanation for the presence of remnant matter in our universe, however the present work makes it clear that the minimal standard model cannot be discounted as a contender for explaining this phenomenon.

  5. MULTIPLE WELL VARIABLE RATE WELL TEST ANALYSIS OF DATA FROM THE AUBURN UNIVERSITY THERMAL ENERGY STORAGE PROGRAM

    E-Print Network [OSTI]

    Doughty, Christine

    2012-01-01

    experimental Thermal energy storage in confined aquifers. ©lUNIVERSITY THERMAL ENERGY STORAGE PROGRM1 Christine Doughty,of aquifer thermal energy storage field experiments. ANALYZE

  6. University at Albany Students Head Back to a School Powered with Renewable Energy

    Broader source: Energy.gov [DOE]

    University at Albany's new student housing center uses a geothermal heat pump to control temperature, reduce energy use and save money.

  7. AQUIFER THERMAL ENERGY STORAGE. A NUMERICAL SIMULATION OF AUBURN UNIVERSITY FIELD EXPERIMENTS

    E-Print Network [OSTI]

    Tsang, Chin Fu

    2013-01-01

    Current aquifer thermal storage projects are summarized in aDivision of Thermal and Mechanical Storage Systems. ThisAuburn University Thermal Energy Storage , LBL No. 10194.

  8. Department of Energy Selects U.S. University-led Teams for $30...

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

    advanced nuclear energy systems and providing state-of-the-art research concerning nuclear science and technology. These grants further engage U.S. university professors and...

  9. Department of Energy Selects U.S. University-led Teams for $30...

    Office of Environmental Management (EM)

    role America's universities play in supporting the advancement and expansion of nuclear power," Assistant Secretary for Nuclear Energy Dennis Spurgeon said. "Developing stronger...

  10. Directory of Energy Information Administration Models 1993

    SciTech Connect (OSTI)

    Not Available

    1993-07-06

    This directory contains descriptions about each model, including the title, acronym, purpose, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. Included in this directory are 35 EIA models active as of May 1, 1993. Models that run on personal computers are identified by ``PC`` as part of the acronym. EIA is developing new models, a National Energy Modeling System (NEMS), and is making changes to existing models to include new technologies, environmental issues, conservation, and renewables, as well as extend forecast horizon. Other parts of the Department are involved in this modeling effort. A fully operational model is planned which will integrate completed segments of NEMS for its first official application--preparation of EIA`s Annual Energy Outlook 1994. Abstracts for the new models will be included in next year`s version of this directory.

  11. Directory of energy information administration models 1995

    SciTech Connect (OSTI)

    1995-07-13

    This updated directory has been published annually; after this issue, it will be published only biennially. The Disruption Impact Simulator Model in use by EIA is included. Model descriptions have been updated according to revised documentation approved during the past year. This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. Included are 37 EIA models active as of February 1, 1995. The first group is the National Energy Modeling System (NEMS) models. The second group is all other EIA models that are not part of NEMS. Appendix A identifies major EIA modeling systems and the models within these systems. Appendix B is a summary of the `Annual Energy Outlook` Forecasting System.

  12. Dark Energy: Observational Evidence and Theoretical Models

    E-Print Network [OSTI]

    B. Novosyadlyj; V. Pelykh; Yu. Shtanov; A. Zhuk

    2015-02-14

    The book elucidates the current state of the dark energy problem and presents the results of the authors, who work in this area. It describes the observational evidence for the existence of dark energy, the methods and results of constraining of its parameters, modeling of dark energy by scalar fields, the space-times with extra spatial dimensions, especially Kaluza---Klein models, the braneworld models with a single extra dimension as well as the problems of positive definition of gravitational energy in General Relativity, energy conditions and consequences of their violation in the presence of dark energy. This monograph is intended for science professionals, educators and graduate students, specializing in general relativity, cosmology, field theory and particle physics.

  13. AIC, BIC, Bayesian evidence against the interacting dark energy model

    E-Print Network [OSTI]

    Marek Szydlowski; Adam Krawiec; Aleksandra Kurek; Michal Kamionka

    2014-12-03

    Recent astronomical observations have indicated that the Universe is in the phase of accelerated expansion. While there are many cosmological models which try to explain this phenomenon, we focus on the interacting $\\Lambda$CDM model where the interaction between the dark energy and dark matter sectors takes place. This model is compared to its simpler alternative---the $\\Lambda$CDM model. To choose between these models the likelihood ratio test was applied as well as the model comparison methods (employing Occam's principle): the Akaike information criterion (AIC), the Bayesian information criterion (BIC) and the Bayesian evidence. Using the current astronomical data: SNIa (Union2.1), $h(z)$, BAO, Alcock--Paczynski test and CMB we evaluated both models. The analyses based on the AIC indicated that there is less support for the interacting $\\Lambda$CDM model when compared to the $\\Lambda$CDM model, while those based on the BIC indicated that there is the strong evidence against it in favor the $\\Lambda$CDM model. Given the weak or almost none support for the interacting $\\Lambda$CDM model and bearing in mind Occam's razor we are inclined to reject this model.

  14. The National Energy Modeling System: An overview

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period of 1990 to 2010. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system. The second chapter describes the modeling structure. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. Additional background on the development of the system is provided in Appendix A of this report, which describes the EIA modeling systems that preceded NEMS. More detailed model documentation reports for all the NEMS modules are also available from EIA.

  15. University of Hawai`i Watt Watcher: Energy Consumption Data Analysis

    E-Print Network [OSTI]

    Award No. DE-FC26-06NT42847 Hawai`i Distributed Energy Resource Technologies for Energy Security SubtaskUniversity of Hawai`i Watt Watcher: Energy Consumption Data Analysis Phase I Interim Report Prepared for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Under

  16. University of Hawai`i Watt Watcher: Energy Consumption Data Analysis

    E-Print Network [OSTI]

    -FC26-06NT42847 Hawai`i Distributed Energy Resource Technologies for Energy Security Subtask 11University of Hawai`i Watt Watcher: Energy Consumption Data Analysis Phase I Final Report Prepared for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Under Award No. DE

  17. JEDI Models | Open Energy Information

    Open Energy Info (EERE)

    development. U.S. Department of Energy. (January 2014). Potential Economic Impacts from Offshore Wind in the Great Lakes Region. To better understand the employment opportunities...

  18. Constraints on alternative models to dark energy

    E-Print Network [OSTI]

    Gong, Y; Gong, Yungui; Duan, Chang-Kui

    2003-01-01

    The recent observations of type Ia supernovae strongly support that the universe is accelerating now and decelerated in the recent past. This may be the evidence of the breakdown of the standard Friemann equation. We consider a general modified Friedmann equation. Three different models are analyzed in detail. The current supernovae data and the Wilkinson microwave anisotropy probe data are used to constrain these models. A detailed analysis of the transition from the deceleration phase to the acceleration phase is also performed.

  19. Constraints on alternative models to dark energy

    E-Print Network [OSTI]

    Yungui Gong; Chang-Kui Duan

    2005-07-13

    The recent observations of type Ia supernovae strongly support that the universe is accelerating now and decelerated in the recent past. This may be the evidence of the breakdown of the standard Friemann equation. We consider a general modified Friedmann equation. Three different models are analyzed in detail. The current supernovae data and the Wilkinson microwave anisotropy probe data are used to constrain these models. A detailed analysis of the transition from the deceleration phase to the acceleration phase is also performed.

  20. Holographic dark energy models with statefinder diagnostic in modified $f(R,T)$ gravity

    E-Print Network [OSTI]

    C. P. Singh; Pankaj Kumar

    2015-10-14

    We study non-viscous and viscous holographic dark energy models for a homogeneous and isotropic flat Friedmann-Robertson-Walker Universe in $f(R,T)$ gravity. We find that the Hubble horizon as an IR cut-off is suitable for both the models to explain the recent accelerated expansion of the Universe. The cosmological parameters like deceleration parameter and statefinder parameters are discussed in each model. In non-viscous model a constant deceleration parameter is found which shows that there is no phase transition. The constraints on the parameters are obtained to analyse the fixed point values of statefinder parameters of SCDM and $\\Lambda$CDM models. We know that the phase transition is required to explain the accelerated expansion of the Universe and this is possible if both the parameters would be time-dependent. Therefore, we extend our analysis to viscous holographic dark energy model to investigate whether this viscous model with the same IR cut-off could be helpful to find the phase transition. We find that this model gives a time-dependent deceleration parameter which achieves a smooth phase transition of the Universe. We also find the time-varying statefinder pair which matches with $\\Lambda$CDM model. We plot the trajectories in $r-s$ and $r-q$ plans to discriminate our model with the existing dark energy models and obtain the quintessence like behaviour for the suitable values of parameters.

  1. Energy Transition Model | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA Jump to:of theClimateElgin,WindMap: Name: Energy

  2. About Building Energy Modeling | Department of Energy

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t y A s sconveyance of9,Septemeber(December

  3. CMB: The ultimate test for theoretical models aiming at describing the very early universe

    E-Print Network [OSTI]

    Mairi Sakellariadou

    2001-11-27

    In this talk, I will illustrate how one can use the cosmic microwave background anisotropy measurements, in order to test theoretical models aiming at describing the early universe.

  4. An origin of the universe: a model alternative to Big Bang

    E-Print Network [OSTI]

    Andrzej Mercik; Szymon Mercik

    2006-04-04

    We propose a new approach to the model of an origin of the universe built by Oscar Klein and Hannes Alfv\\'{e}n. Some modifications of assumptions underlying the model result in a possible scenario of the universe creation consistent with observations. We explain the large scale structre of the universe and we estimate the Hubble constant value as well as the number of galaxies in the universe. The model does not require many assumptions made in the model based on the Big Bang idea.

  5. Dynamical vacuum energy in the expanding Universe confronted with observations: a dedicated study

    SciTech Connect (OSTI)

    Gómez-Valent, Adrià; Solà, Joan [High Energy Physics Group, Dept. ECM, and Institut de Ciències del Cosmos, Univ. de Barcelona, Av. Diagonal 647, E-08028 Barcelona, Catalonia (Spain); Basilakos, Spyros, E-mail: adriagova@ecm.ub.edu, E-mail: sola@ecm.ub.edu, E-mail: svasil@academyofathens.gr [Academy of Athens, Research Center for Astronomy and Applied Mathematics, Soranou Efesiou 4, 11527, Athens (Greece)

    2015-01-01

    Despite the many efforts, our theoretical understanding of the ultimate nature of the dark energy component of the universe still lags well behind the astounding experimental evidence achieved from the increasingly sophisticated observational tools at our disposal. While the canonical possibility is a strict cosmological constant, or rigid vacuum energy density ?{sub ?} = const., the exceeding simplicity of this possibility lies also at the root of its unconvincing theoretical status, as there is no explanation for the existence of such constant for the entire cosmic history. Herein we explore general models of the vacuum energy density slowly evolving with the Hubble function H and/or its time derivative, ?{sub ?} = ?{sub ?}(H, H-dot ). Some of these models are actually well-motivated from the theoretical point of view and may provide a rich phenomenology that could be explored in future observations, whereas some others have more limitations. In this work, we put them to the test and elucidate which ones are still compatible with the present observations and which ones are already ruled out. We consider their implications on structure formation, in combination with data on type Ia supernovae, the Cosmic Microwave Background, the Baryonic Acoustic Oscillations, and the predicted redshift distribution of cluster-size collapsed structures. The relation of these vacuum models on possible evidence of dynamical dark energy recently pointed out in the literature is also briefly addressed.

  6. Dark energy: the absolute electric potential of the universe

    E-Print Network [OSTI]

    Jose Beltran Jimenez; Antonio L. Maroto

    2009-05-15

    Is there an absolute cosmic electric potential?. The recent discovery of the accelerated expansion of the universe could be indicating that this is certainly the case. In this essay we show that the consistency of the covariant and gauge invariant theory of electromagnetism is truly questionable when considered on cosmological scales. Out of the four components of the electromagnetic field, Maxwell's theory only contains two physical degrees of freedom. However, in the presence of gravity, one of the "unphysical" states cannot be consistently eliminated, thus becoming real. This third polarization state is completely decoupled from charged matter, but can be excited gravitationally thus breaking gauge invariance. On large scales the new state can be seen as a homogeneous cosmic electric potential, whose energy density behaves as a cosmological constant.

  7. Supercomputer Helps Model 3D Map of Adolescent Universe

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

    slice of the adolescent universe-just 3 billion years after the Big Bang. The map shows a web of hydrogen gas that varies from low to high density at a time when the universe was...

  8. Emergence and Effective Theory of the Universe -- the Case Study of Lambda Cold Dark Matter Cosmological Model

    E-Print Network [OSTI]

    Marek Szydlowski; Pawel Tambor

    2009-01-13

    Recent astronomical observations strongly indicate that the current Universe is undergoing an accelerated phase of its expansion. If the Universe evolution is described by the FRW model then the acceleration should be driven by some perfect substance violating the strong energy condition. Hence the negative pressure is required for the explanation of acceleration. While different candidates for the fluid termed dark energy have been suggested, the positive cosmological constant seems to be the simplest candidate for dark energy description. However the Lambda term treated as a quantum vacuum energy has no simple physical interpretation because of the fine tuning problem. The paper is related to the methodological status of effective theories in context of cosmological investigations. We pointed out that modern effective cosmological theories may provide an interesting case study in the current philosophical discussions. We argue that the standard cosmological model (LCDM model) as well as the CDM (Cold Dark Matter Cosmological Model) have a status of effective theories only, similarly to the standard model of particle physics. The LCDM model is studied from the point of view of the debate on reductionism and epistemological emergence in the science. It is shown that bifurcation as well as structural instability notion can be useful in the detection of emergence the LCDM model from the CDM model. We demonstrate the structural stability of the LCDM model can explain the flexibility of the model to accommodation of the observational data. Therefore one can explain why the LCDM model is favored over the other model when in confrontations with observations.

  9. Former Student Turns Thesis Into Energy Savings for Taylor University

    Broader source: Energy.gov [DOE]

    Not long ago Kevin Crosby was an engineering major and the president of Taylor University’s student environmental club, Stewards of Creation. Now with recommendations from his thesis in hand, the Environmental Science Master’s degree candidate is the Upland, Indiana, university’s first Coordinator of Stewardship and Sustainability.

  10. Vacuum energy $f(T)$ decay: Inflation at the open universe

    E-Print Network [OSTI]

    W. El Hanafy; G. L. Nashed

    2014-10-09

    We derived a uniquely exact $f(T)$ formula of the lowest possible energy of an isotropic and homogeneous universe. We show that vanishing of the energy-momentum tensor $\\mathcal{T}^{\\mu \

  11. Modeling of Thermal Storage Systems in MILP Distributed Energy Resource Models

    E-Print Network [OSTI]

    Steen, David

    2014-01-01

    and . Mehling, Review on thermal energy storage with phaseModelling of thermal energy storage in industrial energyOptimal deployment of thermal energy storage under diverse

  12. Option Pricing Models c 2006 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 188

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    Option Pricing Models c 2006 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 188 If the world­1970) c 2006 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 189 The Setting · The no Prof. Yuh-Dauh Lyuu, National Taiwan University Page 190 Terms and Approach · C: call value. · P: put

  13. Option Pricing Models c 2009 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 193

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    Option Pricing Models c 2009 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 193 #12;If-Dauh Lyuu, National Taiwan University Page 194 #12;The Setting · The no-arbitrage principle is insufficient, National Taiwan University Page 195 #12;Terms and Approach · C: call value. · P: put value. · X: strike

  14. MIDDLE EAST TECHNICAL UNIVERSITY NORTHERN CYPRUS CAMPUS SUSTAINABLE ENVIRONMENT AND ENERGY SYSTEMS GRADUATE PROGRAM

    E-Print Network [OSTI]

    Hasýrcý, Vasýf

    March 20th Sustainable Urban Design Wolfgang Dickhaut HafenCity University Hamburg 6 March 25thMIDDLE EAST TECHNICAL UNIVERSITY NORTHERN CYPRUS CAMPUS SUSTAINABLE ENVIRONMENT AND ENERGY SYSTEMS Introduction to Universal & Sustainable Design Aysu Kentel METU Northern Cyprus Campus 7 April 1st Sustainable

  15. Industrial Sector Energy Efficiency Modeling (ISEEM) Framework Documentation

    E-Print Network [OSTI]

    Karali, Nihan

    2014-01-01

    of the Edmonds-Reilly Model to Energy Related Greenhouse GasCapros, P. , 1993, The PRIMES Energy System Model SummaryModel for Studying Economy-Energy-Environment Interactions,

  16. Energy Systems Optimization, Modeling, Simulation,

    E-Print Network [OSTI]

    Qu, Zhihua

    such as solar or wind energy, fuel cells or even small diesel generators. To in- crease the harness price to the micro grid, minimizes its cost and se- cures the power supply that the microgrid

  17. A model personal energy meter

    E-Print Network [OSTI]

    Hay, Simon

    2011-10-11

    (PerCom 2010), Mannheim, Germany. Winner of the Mark Weiser Best Paper Award. DOI: 10.1109/PERCOM.2010.5466991 • Andrew Rice and Simon Hay. Measuring mobile phone energy consumption for 802.11 wireless networking. Pervasive and Mobile Computing, Volume... . . . . . . . . . . . . . . . . . . . . . . . . 36 2.2.2 Persuasive technologies for physical activity . . . . . . . . . . . . . 37 2.2.3 Persuasive technologies for energy consumption . . . . . . . . . . . 39 2.3 Metering electricity consumption . . . . . . . . . . . . . . . . . . . . . . . 42 2...

  18. Modelling energy efficiency for computation

    E-Print Network [OSTI]

    Reams, Charles

    2012-11-13

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130 10 List of Tables 3.1 Energy usage breakdown for computing equipment in the United States. Energy figures are in billions of kWh. . . . . . . . . . . . . . . . . . . . . . 40 5.1 Average solution time... understanding of the underlying behavioural properties will inevitably lead to improvements in the practicality of NTC, and practical NTC-purposed cores have now been constructed; for example, the Phoenix processor, which operates in the near-threshold region...

  19. Heal the world: Avoiding the cosmic doomsday in the holographic dark energy model

    E-Print Network [OSTI]

    Xin Zhang

    2009-12-14

    The current observational data imply that the universe would end with a cosmic doomsday in the holographic dark energy model. However, unfortunately, the big-rip singularity will ruin the theoretical foundation of the holographic dark energy scenario. To rescue the holographic scenario of dark energy, we employ the braneworld cosmology and incorporate the extra-dimension effects into the holographic theory of dark energy. We find that such a mend could erase the big-rip singularity and leads to a de Sitter finale for the holographic cosmos. Therefore, in the holographic dark energy model, the extra-dimension recipe could heal the world.

  20. World Energy Projection System model documentation

    SciTech Connect (OSTI)

    Hutzler, M.J.; Anderson, A.T.

    1997-09-01

    The World Energy Projection System (WEPS) was developed by the Office of Integrated Analysis and Forecasting within the Energy Information Administration (EIA), the independent statistical and analytical agency of the US Department of Energy. WEPS is an integrated set of personal computer based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product GDP), and about the rate of incremental energy requirements met by natural gas, coal, and renewable energy sources (hydroelectricity, geothermal, solar, wind, biomass, and other renewable resources). Projections produced by WEPS are published in the annual report, International Energy Outlook. This report documents the structure and procedures incorporated in the 1998 version of the WEPS model. It has been written to provide an overview of the structure of the system and technical details about the operation of each component of the model for persons who wish to know how WEPS projections are produced by EIA.

  1. Dark Energy Rules the Universe (and why the dinosaurs do not!) (LBNL Science at the Theater)

    ScienceCinema (OSTI)

    Linder, Eric

    2011-04-28

    The revolutionary discovery that the expansion of the universe is speeding up, not slowing down from gravity, means that 75 percent of our universe consists of mysterious dark energy. Berkeley Lab theoretical physicist Eric Linder delves into the mystery of dark energy as part of the Science in the Theatre lecture series on Nov. 24, 2008.

  2. 09/22/2004 University of Wisconsin-Madison 1 ENERGY, POLITICS AND

    E-Print Network [OSTI]

    09/22/2004 University of Wisconsin-Madison 1 ENERGY, POLITICS AND SPACE Harrison H. Schmitt TOFE BILLION EARTHLINGS BY 2050 · >X8 INCREASE IN ENERGY DEMAND ­ X2 TO STAY EVEN WITH 2000 DEMAND ­ X4 OR MORE IS FUTURE DEMAND TO BE MET? ­ ASSUME PRIVATE FINANCING OF NEW CAPACITY IS REQUIRED #12;09/22/2004 University

  3. Helsinki University of Technology Department of Mechanical Engineering Energy Engineering and Environmental Protection Publications

    E-Print Network [OSTI]

    Zevenhoven, Ron

    Helsinki University of Technology Department of Mechanical Engineering Energy Engineering for study funded by Ekokem Oy Ab support funding (apurahoitus) 2002 Helsinki University of Technology Energy processes were mentioned. One problem is the complex composition of ASR, containing plastics such as PVC

  4. Multi-University Research to Advance Discovery Fusion Energy Science using a

    E-Print Network [OSTI]

    Dept of Applied Physics and Applied Math, Columbia University, New York, NY Plasma Science and FusionMulti-University Research to Advance Discovery Fusion Energy Science using a Superconducting Center, MIT, Cambridge, MA Outline · Intermediate scale discovery fusion energy science needs support

  5. Earth-sheltered building yields energy savings for University of Minnesota

    SciTech Connect (OSTI)

    Not Available

    1983-04-01

    The design and energy efficiency of the Civil/Mineral Engineering Building at the University of Minnesota is discussed. The building combines relatively common energy-efficient surface building practices with earth-sheltered techniques already proven on the University Campus and innovative deep-earth sheltering.

  6. Sandia Energy - Techno-Economic Modeling, Analysis, and Support

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

    Modeling, Analysis, and Support Home Stationary Power Energy Conversion Efficiency Wind Energy Special Programs Techno-Economic Modeling, Analysis, and Support Techno-Economic...

  7. Marine Studies Initiative, Oregon State University Learning Models Working Group Report

    E-Print Network [OSTI]

    Tullos, Desiree

    Marine Studies Initiative, Oregon State University Learning Models Working Group Report January 15, 2015 Executive Summary ­ (updated on March 19, 2015) Learning models within the Marine Studies that integrates marine literacy throughout OSU academic programs while expanding innovative marine education

  8. Renewable Energy and Efficiency Modeling Analysis Partnership: An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025

    SciTech Connect (OSTI)

    Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K.; Venkatech, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.

    2009-09-30

    The Renewable Energy and Efficiency Modeling and Analysis Partnership (REMAP) sponsors ongoing workshops to discuss individual 'renewable' technologies, energy/economic modeling, and - to some extent - policy issues related to renewable energy. Since 2002, the group has organized seven workshops, each focusing on a different renewable technology (geothermal, solar, wind, etc.). These workshops originated and continue to be run under an informal partnership of the Environmental Protection Agency (EPA), the Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE), the National Renewable Energy Laboratory (NREL), and the American Council on Renewable Energy (ACORE). EPA originally funded the activities, but support is now shared between EPA and EERE. REMAP has a wide range of participating analysts and models/modelers that come from government, the private sector, and academia. Modelers include staff from the Energy Information Administration (EIA), the American Council for an Energy-Efficient Economy (ACEEE), NREL, EPA, Resources for the Future (RFF), Argonne National Laboratory (ANL), Northeast States for Coordinated Air Use Management (NESCAUM), Regional Economic Models Inc. (REMI), ICF International, OnLocation Inc., and Boston University. The working group has more than 40 members, which also includes representatives from DOE, Lawrence Berkeley National Laboratory (LBNL), Union of Concerned Scientists (UCS), Massachusetts Renewable Energy Trust, Federal Energy Regulatory Commission (FERC), and ACORE. This report summarizes the activities and findings of the REMAP activity that started in late 2006 with a kickoff meeting, and concluded in mid-2008 with presentations of final results. As the project evolved, the group compared results across models and across technologies rather than just examining a specific technology or activity. The overall goal was to better understand how and why different energy models give similar and/or different answers in response to a set of focused energy-related questions. The focus was on understanding reasons for model differences, not on policy implications, even though a policy of high renewable penetration was used for the analysis. A group process was used to identify the potential question (or questions) to be addressed through the project. In late 2006, increasing renewable energy penetration in the electricity sector was chosen from among several options as the general policy to model. From this framework, the analysts chose a renewable portfolio standard (RPS) as the way to implement the required renewable energy market penetration in the models. An RPS was chosen because it was (i) of interest and represented the group's consensus choice, and (ii) tractable and not too burdensome for the modelers. Because the modelers and analysts were largely using their own resources, it was important to consider the degree of effort required. In fact, several of the modelers who started this process had to discontinue participation because of other demands on their time. Federal and state RPS policy is an area of active political interest and debate. Recognizing this, participants used this exercise to gain insight into energy model structure and performance. The results are not intended to provide any particular insight into policy design or be used for policy advocacy, and participants are not expected to form a policy stance based on the outcomes of the modeling. The goals of this REMAP project - in terms of the main topic of renewable penetration - were to: (1) Compare models and understand why they may give different results to the same question, (2) Improve the rigor and consistency of assumptions used across models, and (3) Evaluate the ability of models to measure the impacts of high renewable-penetration scenarios.

  9. The Mira-Titan Universe: Precision Predictions for Dark Energy Surveys

    E-Print Network [OSTI]

    Heitmann, Katrin; Lawrence, Earl; Bergner, Steven; Habib, Salman; Higdon, David; Pope, Adrian; Biswas, Rahul; Finkel, Hal; Frontiere, Nicholas; Bhattacharya, Suman

    2015-01-01

    Ground and space-based sky surveys enable powerful cosmological probes based on measurements of galaxy properties and the distribution of galaxies in the Universe. These probes include weak lensing, baryon acoustic oscillations, abundance of galaxy clusters, and redshift space distortions; they are essential to improving our knowledge of the nature of dark energy. On the theory and modeling front, large-scale simulations of cosmic structure formation play an important role in interpreting the observations and in the challenging task of extracting cosmological physics at the needed precision. These simulations must cover a parameter range beyond the standard six cosmological parameters and need to be run at high mass and force resolution. One key simulation-based task is the generation of accurate theoretical predictions for observables, via the method of emulation. Using a new sampling technique, we explore an 8-dimensional parameter space including massive neutrinos and a variable dark energy equation of sta...

  10. Model Wind Energy Facility Ordinance

    Broader source: Energy.gov [DOE]

    Note: This model ordinance was designed to provide guidance to local governments that wish to develop their own siting rules for wind turbines. While it was developed as part of a cooperative...

  11. Model-driven Automated Software FMEA Neal Snooke, PhD, Aberystwyth University

    E-Print Network [OSTI]

    Snooke, Neal

    Model-driven Automated Software FMEA Neal Snooke, PhD, Aberystwyth University Chris Price PhD, Aberystwyth University Key Words: Failure modes and effects analysis; software FMEA; model-driven software development SUMMARY & CONCLUSIONS This paper describes how software FMEA can be automated both for low

  12. The Universal Model for the Negation-free Fragment of IPC

    E-Print Network [OSTI]

    Amsterdam, University of

    February 5, 2013 Abstract We identify the universal n-model of the negation-free fragment of the intuitionistic propositional calculus IPC. We denote it by U (n) and show that it is isomorphic to a generated submodel of the universal n-model of IPC, which is denoted by U(n). We show that this close resemblance

  13. Beltrami Energy Based Partitioning Model for Image Segmentation

    E-Print Network [OSTI]

    An, Jing

    2015-01-01

    Beltrami Energy Based Partitioning Model for Imagemodel based on Beltrami energy, and made noticeable resultsMoreover, because Beltrami energy is fully constructed using

  14. Solar Energy Research at the Australian National University A.W. Blakers

    E-Print Network [OSTI]

    by the Australian Greenhouse Office (RECP6) towards the cost of building a pilot plant. #12;Solar Energy ResearchSolar Energy Research at the Australian National University A.W. Blakers Centre for Sustainable in the areas of photovoltaics and solar thermal energy. 1. INTRODUCTION The Centre for Sustainable Energy

  15. ReseaRch at the University of Maryland Innovating Energy Storage at the Nanoscale

    E-Print Network [OSTI]

    Hill, Wendell T.

    ReseaRch at the University of Maryland Innovating Energy Storage at the Nanoscale Growing demands for energy, particularly renewable energy, require not only new sources but new methods of storage tests newly created nanostructures for their energy storage capacities. His work in micro

  16. Renewable Energy in Central & Eastern Europe Vienna University of Technology I Energiepark Bruck/Leitha

    E-Print Network [OSTI]

    Szmolyan, Peter

    Renewable Energy in Central & Eastern Europe CONTINUING EDUCATION CENTER Vienna University on the consumption of energy. However, this system is currently not sustainable. Renewable energy sources as well. The objective of the postgraduate MSc Program "Renewable Energy in Central & Eastern Europe" is, to contribute

  17. Open Universe Modeling: Information Layer and Time Dilation

    E-Print Network [OSTI]

    Baris Baykant Alagoz

    2010-11-10

    In this paper, we suppose that the universe has an information processing layer, which coveys the informational contents accompanying the physical events. In this manner, universe is considered to be composed of several associative layers such that one rises on the other layer. Preliminary, we present a method for the analytical treatment of the amount of information processed by universe itself, and then we try to show its correspondence with theories developed for the time dilation and gravitational forces.

  18. Revolutions in energy through modeling and simulation

    SciTech Connect (OSTI)

    Tatro, M.; Woodard, J.

    1998-08-01

    The development and application of energy technologies for all aspects from generation to storage have improved dramatically with the advent of advanced computational tools, particularly modeling and simulation. Modeling and simulation are not new to energy technology development, and have been used extensively ever since the first commercial computers were available. However, recent advances in computing power and access have broadened the extent and use, and, through increased fidelity (i.e., accuracy) of the models due to greatly enhanced computing power, the increased reliance on modeling and simulation has shifted the balance point between modeling and experimentation. The complex nature of energy technologies has motivated researchers to use these tools to understand better performance, reliability and cost issues related to energy. The tools originated in sciences such as the strength of materials (nuclear reactor containment vessels); physics, heat transfer and fluid flow (oil production); chemistry, physics, and electronics (photovoltaics); and geosciences and fluid flow (oil exploration and reservoir storage). Other tools include mathematics, such as statistics, for assessing project risks. This paper describes a few advancements made possible by these tools and explores the benefits and costs of their use, particularly as they relate to the acceleration of energy technology development. The computational complexity ranges from basic spreadsheets to complex numerical simulations using hardware ranging from personal computers (PCs) to Cray computers. In all cases, the benefits of using modeling and simulation relate to lower risks, accelerated technology development, or lower cost projects.

  19. Avoiding Boltzmann Brain domination in holographic dark energy models

    E-Print Network [OSTI]

    R. Horvat

    2015-09-14

    In a spatially infinite and eternal universe approaching ultimately a de Sitter (or quasi-de Sitter) regime, structure can form by thermal fluctuations as such a space is thermal. The models of Dark Energy invoking holographic principle fit naturally into such a category, and spontaneous formation of isolated brains in otherwise empty space seems the most perplexing, creating the paradox of Boltzmann Brains (BB). It is thus appropriate to ask if such models can be made free from domination by Boltzmann Brains. Here we consider only the simplest model, but adopt both the local and the global viewpoint in the description of the Universe. In the former case, we find that if a parameter $c$, which modulates the Dark Energy density, lies outside the exponentially narrow strip around the most natural $c = 1$ line, the theory is rendered BB-safe. In the later case, the bound on $c$ is exponentially stronger, and seemingly at odds with those bounds on $c$ obtained from various observational tests.

  20. Avoiding Boltzmann Brain domination in holographic dark energy models

    E-Print Network [OSTI]

    Horvat, R

    2015-01-01

    In a spatially infinite and eternal universe approaching ultimately a de Sitter (or quasi-de Sitter) regime, structure can form by thermal fluctuations as such a space is thermal. The models of Dark Energy invoking holographic principle fit naturally into such a category, and spontaneous formation of isolated brains in otherwise empty space seems the most perplexing, creating the paradox of Boltzmann Brains (BB). It is thus appropriate to ask if such models can be made free from domination by Boltzmann Brains. Here we consider only the simplest model, but adopt both the local and the global viewpoint in the description of the Universe. In the former case, we find that if a parameter $c$, which modulates the Dark Energy density, lies outside the exponentially narrow strip around the most natural $c = 1$ line, the theory is rendered BB-safe. In the later case, the bound on $c$ is exponentially stronger, and seemingly at odds with those bounds on $c$ obtained from various observational tests.

  1. Avoiding Boltzmann Brain domination in holographic dark energy models

    E-Print Network [OSTI]

    R. Horvat

    2015-02-23

    In a spatially infinite and eternal universe approaching ultimately a de Sitter (or quasi-de Sitter) regime, structure can form by thermal fluctuations as such a space is thermal. The models of Dark Energy invoking holographic principle fit naturally into such a category, and spontaneous formation of isolated brains in otherwise empty space seems the most perplexing, creating the paradox of Boltzmann Brains (BB). It is thus appropriate to ask if such models can be made free from domination by Boltzmann Brains. Here we consider only the simplest model, but adopt both the local and the global viewpoint in the description of the Universe. In the former case, we find that if a parameter $c$, which modulates the Dark Energy density, lies outside the exponentially narrow strip around the most natural $c = 1$ line, the theory is rendered BB-safe. In the later case, the bound on $c$ is exponentially stronger, and seemingly at odds with those bounds on $c$ obtained from various observational tests.

  2. LEDCOM Model | Department of Energy

    Energy Savers [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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties - WAPA PublicLED ADOPTION REPORT LED ADOPTION REPORTLEDLED

  3. Models of the "Universe" and a Closure Principle

    E-Print Network [OSTI]

    Jerzy Hanckowiak

    2010-10-16

    Partial descriptions of the Universe are presented in the form of linear equations considered in the free (full, super) Fock space. The universal properties of these equations are discussed. The closure problem caused by computational and experimental ability is considered and reduced to appropriate additional conditions imposed on solutions.

  4. The growth of structure in interacting dark energy models

    SciTech Connect (OSTI)

    Caldera-Cabral, Gabriela; Maartens, Roy; Schaefer, Bjoern Malte E-mail: roy.maartens@port.ac.uk

    2009-07-01

    If dark energy interacts with dark matter, there is a change in the background evolution of the universe, since the dark matter density no longer evolves as a{sup ?3}. In addition, the non-gravitational interaction affects the growth of structure. In principle, these changes allow us to detect and constrain an interaction in the dark sector. Here we investigate the growth factor and the weak lensing signal for a new class of interacting dark energy models. In these models, the interaction generalises the simple cases where one dark fluid decays into the other. In order to calculate the effect on structure formation, we perform a careful analysis of the perturbed interaction and its effect on peculiar velocities. Assuming a normalization to today's values of dark matter density and overdensity, the signal of the interaction is an enhancement (suppression) of both the growth factor and the lensing power, when the energy transfer in the background is from dark matter to dark energy (dark energy to dark matter)

  5. Experimental High Energy Physics Brandeis University Final Report

    SciTech Connect (OSTI)

    Blocker, Craig A.; Bensinger, James; Sciolla, Gabriella; Wellenstein, Hermann

    2013-07-26

    During the past three years, the Brandeis experimental particle physics group was comprised of four faculty (Bensinger, Blocker, Sciolla, and Wellenstein), one research scientist, one post doc, and ten graduate students. The group focused on the ATLAS experiment at LHC. In 2011, the LHC delivered 5/fb of pp colliding beam data at a center-of-mass energy of 7 TeV. In 2012, the center-of-mass energy was increased to 8 TeV, and 20/fb were delivered. The Brandeis group focused on two aspects of the ATLAS experiment -- the muon detection system and physics analysis. Since data taking began at the LHC in 2009, our group actively worked on ATLAS physics analysis, with an emphasis on exploiting the new energy regime of the LHC to search for indications of physics beyond the Standard Model. The topics investigated were Z' -> ll, Higgs -> ZZ* -. 4l, lepton flavor violation, muon compositeness, left-right symmetric theories, and a search for Higgs -> ee. The Brandeis group has for many years been a leader in the endcap muon system, making important contributions to every aspect of its design and production. During the past three years, the group continued to work on commissioning the muon detector and alignment system, development of alignment software, and installation of remaining chambers.

  6. Cosmological constraints on superconducting dark energy models

    E-Print Network [OSTI]

    Zoltán Keresztes; László Á. Gergely; Tiberiu Harko; Shi-Dong Liang

    2015-09-01

    We consider cosmological tests of a scalar-vector-tensor gravitational model, in which the dark energy is included in the total action through a gauge invariant, electromagnetic type contribution. The ground state of dark energy, corresponding to a constant potential $V$ is a Bose-Einstein type condensate with spontaneously broken U(1) symmetry. In another words dark energy appears as a massive vector field emerging from a superposition of a massless vector and a scalar field, the latter corresponding to the Goldstone boson. Two particular cosmological models, corresponding to pure electric and pure magnetic type potentials, respectively are confronted with Type IA Supernovae and Hubble parameter data. In the electric case good fit is obtained along a narrow inclined stripe in the $\\Omega _{m}-\\Omega _{V}$ parameter plane, which includes the $\\Lambda $CDM limit. The other points on this admissible region represent superconducting dark energy as a sum of a cosmological constant and a time-evolving contribution. In the magnetic case the cosmological test selects either i) parameter ranges of the superconducting dark energy allowing for the standard baryonic plus dark matter or ii) a unified superconducting dark matter and dark energy model, additionally including only the baryonic sector. The cosmological data is best matched when the matter decouples from both the scalar and vector sectors of dark energy, hence favoring matter conservation as opposed to particle creation in an irreversible process.

  7. Energy Research at UC Santa Barbara Energy is one of the most important challenges of the century. Energy research at the University of

    E-Print Network [OSTI]

    Akhmedov, Azer

    Energy Research at UC Santa Barbara Energy is one of the most important challenges of the century. Energy research at the University of California Santa Barbara (UC Santa Barbara) is largely focused on developing new technologies that increase energy efficiency, thereby reducing energy consumption. UC Santa

  8. Modeling Techniques | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec 2005MinnehahaElectric Coop,Mithril GmbHMobiusSalton

  9. Sandia Energy - Global Climate Models

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen GenerationTechnologiesEnergyGeoscience Home

  10. COMMUTER Model | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar Energy LLC JumpBiossenceBrunswick, Maine:IAEATCNAA Jump to:EmissionsCOMMUTER

  11. Sandia Energy - Extreme Conditions Modeling

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumniProjectsCyberNotLEDPhase FieldEnergyExperiments

  12. Sandia Energy - Global Climate Models

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy & Drilling Technology Home StationaryTeam

  13. Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy...

    Open Energy Info (EERE)

    Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy: SMARTS Model Jump to: navigation, search Tool Summary Name: Webinar-Terrestrial Solar Spectral Modeling for...

  14. Building Energy Model Development for Retrofit Homes

    SciTech Connect (OSTI)

    Chasar, David; McIlvaine, Janet; Blanchard, Jeremy; Widder, Sarah H.; Baechler, Michael C.

    2012-09-30

    Based on previous research conducted by Pacific Northwest National Laboratory and Florida Solar Energy Center providing technical assistance to implement 22 deep energy retrofits across the nation, 6 homes were selected in Florida and Texas for detailed post-retrofit energy modeling to assess realized energy savings (Chandra et al, 2012). However, assessing realized savings can be difficult for some homes where pre-retrofit occupancy and energy performance are unknown. Initially, savings had been estimated using a HERS Index comparison for these homes. However, this does not account for confounding factors such as occupancy and weather. This research addresses a method to more reliably assess energy savings achieved in deep energy retrofits for which pre-retrofit utility bills or occupancy information in not available. A metered home, Riverdale, was selected as a test case for development of a modeling procedure to account occupancy and weather factors, potentially creating more accurate estimates of energy savings. This “true up” procedure was developed using Energy Gauge USA software and post-retrofit homeowner information and utility bills. The 12 step process adjusts the post-retrofit modeling results to correlate with post-retrofit utility bills and known occupancy information. The “trued” post retrofit model is then used to estimate pre-retrofit energy consumption by changing the building efficiency characteristics to reflect the pre-retrofit condition, but keeping all weather and occupancy-related factors the same. This creates a pre-retrofit model that is more comparable to the post-retrofit energy use profile and can improve energy savings estimates. For this test case, a home for which pre- and post- retrofit utility bills were available was selected for comparison and assessment of the accuracy of the “true up” procedure. Based on the current method, this procedure is quite time intensive. However, streamlined processing spreadsheets or incorporation into existing software tools would improve the efficiency of the process. Retrofit activity appears to be gaining market share, and this would be a potentially valuable capability with relevance to marketing, program management, and retrofit success metrics.

  15. Distributed Energy Resources Market Diffusion Model

    E-Print Network [OSTI]

    Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

    2006-01-01

    Efficiency and Renewable Energy, Distributed Energy ProgramDistributed Energy Resources Characterizations. National Renewable Energy

  16. Cosmological constraints on superconducting dark energy models

    E-Print Network [OSTI]

    Keresztes, Zoltán; Harko, Tiberiu; Liang, Shi-Dong

    2015-01-01

    We consider cosmological tests of a scalar-vector-tensor gravitational model, in which the dark energy is included in the total action through a gauge invariant, electromagnetic type contribution. The ground state of dark energy, corresponding to a constant potential $V$ is a Bose-Einstein type condensate with spontaneously broken U(1) symmetry. In another words dark energy appears as a massive vector field emerging from a superposition of a massless vector and a scalar field, the latter corresponding to the Goldstone boson. Two particular cosmological models, corresponding to pure electric and pure magnetic type potentials, respectively are confronted with Type IA Supernovae and Hubble parameter data. In the electric case good fit is obtained along a narrow inclined stripe in the $\\Omega _{m}-\\Omega _{V}$ parameter plane, which includes the $\\Lambda $CDM limit. The other points on this admissible region represent superconducting dark energy as a sum of a cosmological constant and a time-evolving contribution...

  17. CBE EnergyPlus Modeling Methods for UFAD Systems

    E-Print Network [OSTI]

    Webster, Tom; Bauman, Fred; Lee, Kwang Ho; Schiavon, Stefano; Daly, Alan; Hoyt, Tyler

    2012-01-01

    uc/item/4mt314vs CBE EnergyPlus Modeling Methods for UFADreport December 2012 CBE EnergyPlus Modeling Methods formodule specifications for EnergyPlus v3.1 and higher. We

  18. Constraining the gravitational wave energy density of the Universe using Earth's ring

    E-Print Network [OSTI]

    Michael Coughlin; Jan Harms

    2014-06-04

    The search for gravitational waves is one of today's major scientific endeavors. A gravitational wave can interact with matter by exciting vibrations of elastic bodies. Earth itself is a large elastic body whose so-called normal-mode oscillations ring up when a gravitational wave passes. Therefore, precise measurement of vibration amplitudes can be used to search for the elusive gravitational-wave signals. Earth's free oscillations that can be observed after high-magnitude earthquakes have been studied extensively with gravimeters and low-frequency seismometers over many decades leading to invaluable insight into Earth's structure. Making use of our detailed understanding of Earth's normal modes, numerical models are employed for the first time to accurately calculate Earth's gravitational-wave response, and thereby turn a network of sensors that so far has served to improve our understanding of Earth, into an astrophysical observatory exploring our Universe. In this article, we constrain the energy density of gravitational waves to values in the range 0.035 - 0.15 normalized by the critical energy density of the Universe at frequencies between 0.3mHz and 5mHz, using 10 years of data from the gravimeter network of the Global Geodynamics Project that continuously monitors Earth's oscillations. This work is the first step towards a systematic investigation of the sensitivity of gravimeter networks to gravitational waves. Further advance in gravimeter technology could improve sensitivity of these networks and possibly lead to gravitational-wave detection.

  19. Analyzing the private development model for university real estate development

    E-Print Network [OSTI]

    Gerrity, James F., IV (James Francis)

    2009-01-01

    Universities within the Unites States have long been active in the real estate development market surrounding their respective campuses. However, beginning with the baby boom in the late 1950s, colleges have begun expanding ...

  20. Study of Early Universe in an M Theoretic Model

    E-Print Network [OSTI]

    Samrat Bhowmick

    2012-01-27

    In this thesis we study early universe in the frame work of M theory. In particular We assume that the early universe is homogeneous, anisotropic, and is dominated by the mutually BPS 22'55' intersecting branes of M theory. We find that, asymptotically, three spatial directions expand to infinity and the remaining spatial directions reach stabilised values. We give a physical description of the stabilisation mechanism.

  1. Energy Department and Catholic University Improve Safety of Nuclear Waste

    Broader source: Energy.gov [DOE]

    A new waste processing plant in Washington will help to safely remove nuclear and chemical waste, thanks to research from Catholic University.

  2. Pennsylvania State University Wins Big In Las Vegas: Energy Department...

    Energy Savers [EERE]

    The team designed a small-scale wind turbine that can be easily deployed to provide power in emergency andor remote power situations. Pennsylvania State University was crowned...

  3. Harvard University Video (Text Version) | Department of Energy

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

    Video (Text Version) Harvard University Video (Text Version) To encourage the use of electric vehicles, Parking Services has installed a number of electric vehicle charging...

  4. Clark Atlanta Universities (CAU) Energy Related Research Capabilities...

    Energy Savers [EERE]

    Building and International Trade Center HYDROGEN AND FUEL CELL EDUCATION AT CALIFORNIA STATE UNIVERSITY, LOS ANGELES GATE Center for Automotive Fuel Cell Systems at Virginia Tech...

  5. Energy Department Announces New Investments in University-Led...

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

    Knoxville, Tennessee-based University of Tennessee will develop an advanced ceramic coating for fuel cladding technologies that aims to improve the performance of traditional...

  6. EA-1782: University of Delaware Lewes Campus Onsite Wind Energy Project

    Broader source: Energy.gov [DOE]

    The University of Delaware has constructed a wind turbine adjacent to its College of Earth, Ocean, and Environment campus in Lewes, Delaware. DOE proposed to provide the University a $1.43 million grant for this Wind Energy Project from funding provided in the Omnibus Appropriations Act of 2009 (Public Law 111-8) and an additional $1 million provided in the Energy and Water Development Appropriations Act of Fiscal Year 2010. This EA analyzed the potential environmental impacts of the University of Delaware’s Wind Energy Project at its Lewes campus and, for purposes of comparison, an alternative that assumes the wind turbine had not been constructed.

  7. Numerical Modeling of PCCI Combustion | Department of Energy

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

    PCCI Combustion Numerical Modeling of PCCI Combustion 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentation: Lawrence Livermore National LaboratoryUniversity of...

  8. A Ten-Year, $7 Million Energy Initiative Marching on: Texas A&M University Campus Energy Systems CC 

    E-Print Network [OSTI]

    Deng, S.; Claridge, D. E.; Turner, W. D.; Bruner, H. L.; Williams, L.; Riley, J. G.

    2006-01-01

    The $35 million in measured savings for the ten-year, $7 million continuous commissioning (CC) program at the Texas A&M University (TAMU) makes the decision to continue easy. In today's energy environment and with the ...

  9. A Twelve Year, $10 Million Energy Initiative Marching On: the Texas A&M University Campus Energy Systems CC® 

    E-Print Network [OSTI]

    Deng, S.; Claridge, D. E.; Turner, W. D.; Riley, J. G.; Williams, L.; Bruner, H. L.

    2008-01-01

    The $58.5 million in measured savings for the twelve-year, $10 million continuous commissioning® (CC®) program at the Texas A&M University (TAMU) makes the decision to continue easy. In today's energy environment and with ...

  10. Sandia Energy - Upper Rio Grande Simulation Model (URGSiM)

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

    Upper Rio Grande Simulation Model (URGSiM) Home Climate & Earth Systems WaterEnergy Nexus Decision Models for Integrating EnergyWater Systems Modeling Upper Rio Grande Simulation...

  11. The Smart Energy Summit took place at the University of Southern California in January

    E-Print Network [OSTI]

    Levi, Anthony F. J.

    ..................................................................................................52-61 Nuclear Energy: Where do we go from here? Keith Bradley and political community. However, the ability to provide safe, clean, sources of energy seems to be fragileThe Smart Energy Summit took place at the University of Southern California in January 2012. Some

  12. U.S. DEPARTMENT OF ENERGY SOLAR DECATHLON 2011 NEW ZEALAND VICTORIA UNIVERSITY OF WELLINGTON

    E-Print Network [OSTI]

    Frean, Marcus

    U.S. DEPARTMENT OF ENERGY SOLAR DECATHLON 2011 NEW ZEALAND ­ VICTORIA UNIVERSITY OF WELLINGTON #12 of Energy Solar Decathlon. Led by students from the School of Architecture, our team comprises students from into the mountains. #12;4 5 SOLAR CONTROL DESIGN FEATURES The First Light house is a net zero energy dwelling

  13. Establishing the scientific basis for fusion energy and understanding the plasma universe

    E-Print Network [OSTI]

    promoting a sustainable FES future The US research effort has to effectively reap maximal S utu e y pEstablishing the scientific basis for fusion energy and understanding the plasma universe Update on the Fusion Update on the Fusion Energy Sciences ProgramEnergy Sciences Program Ed SynakowskiEd Synakowski

  14. Industrial Research Chair in Energy Systems for Smart Cities SIMON FRASER UNIVERSITY, CANADA

    E-Print Network [OSTI]

    Industrial Research Chair in Energy Systems for Smart Cities SIMON FRASER UNIVERSITY, CANADA for a prestigious Executive Industrial Research Chair in Energy Systems for Smart Cities at the associate or full a Centre of Excellence in Energy Systems for Smart Cities at the SFU Surrey Campus in close collaboration

  15. H.R. 2774: The Solar Energy Research and Advancement Act of 2007 Columbia University

    E-Print Network [OSTI]

    Smerdon, Jason E.

    H.R. 2774: The Solar Energy Research and Advancement Act of 2007 Columbia University School. The Solar Solution In the ongoing search for cleaner, cost-competitive forms of energy, solar power has free. While solar technology has emerged in the US energy market in recent years, it has not reached

  16. University of Maryland NSF-MRSEC Highlight: Coaxial Nanostructures for Energy Storage

    E-Print Network [OSTI]

    Rubloff, Gary W.

    University of Maryland NSF-MRSEC Highlight: Coaxial Nanostructures for Energy Storage P. Banerjee deposition storage than the best of today's devices, meeting the growing need for storing energy derived from generation Mn in MnO2 of devices for storing electrical energy that function as supercapacitors and batteries

  17. Gauss Bonnet dark energy Chaplygin Gas Model

    E-Print Network [OSTI]

    Elahe Karimkhani; Asma Alaii; Abdolhossein Khodam-Mohammadi

    2015-02-27

    In this work we incorporate GB dark energy density and its modification, MGB, with Chaplygin gas component. We show that, presence of Chaplygin gas provides us a feature to obtain an exact solution for scalar field and potential of scalar field. Investigation on squared of sound speed provides a lower limit for constant parameters of MGB model. Also, we could find some bounds for free parameters of model.

  18. Equilibrium Statistical-Thermal Models in High-Energy Physics

    E-Print Network [OSTI]

    Abdel Nasser Tawfik

    2014-10-25

    We review some recent highlights from the applications of statistical-thermal models to different experimental measurements and lattice QCD thermodynamics, that have been made during the last decade. We start with a short review of the historical milestones on the path of constructing statistical-thermal models for heavy-ion physics. We discovered that Heinz Koppe formulated in 1948 an almost complete recipe for the statistical-thermal models. In 1950, Enrico Fermi generalized this statistical approach, in which he started with a general cross-section formula and inserted into it simplifying assumptions about the matrix element of the interaction process that likely reflects many features of the high-energy reactions dominated by density in the phase space of final states. In 1964, Hagedorn systematically analysed the high-energy phenomena using all tools of statistical physics and introduced the concept of limiting temperature based on the statistical bootstrap model. It turns to be quite often that many-particle systems can be studied with the help of statistical-thermal methods. The analysis of yield multiplicities in high-energy collisions gives an overwhelming evidence for the chemical equilibrium in the final state. The strange particles might be an exception, as they are suppressed at lower beam energies. However, their relative yields fulfill statistical equilibrium, as well. We review the equilibrium statistical-thermal models for particle production, fluctuations and collective flow in heavy-ion experiments. We also review their reproduction of the lattice QCD thermodynamics at vanishing and finite chemical potential. During the last decade, five conditions have been suggested to describe the universal behavior of the chemical freeze out parameters.

  19. Texas Tech University Energy Savings Program April 2006 Update

    E-Print Network [OSTI]

    Zhuang, Yu

    for operation and maintenance. New initiatives will continue to be collected and shared with appropriate vehicle energy reduction goal. A. Energy Goals 1. Campus Energy Use Energy units are converted to mmbtu to allow to current energy costs and campus square footage. Utility Goal Actual % Change Est. Savings Electricity 0

  20. Texas Tech University Energy Savings Program July 2006 Update

    E-Print Network [OSTI]

    Gelfond, Michael

    for operation and maintenance. New initiatives will continue to be collected and shared with appropriate vehicle energy reduction goal. A. Energy Goals 1. Campus Energy Use Energy units are converted to mmbtu to allow to current energy costs and campus square footage. Utility FY05 Actual % Change Est. Savings Electricity