Sample records for university energy modeling

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

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    A Occupancy Modeling and Prediction for Building Energy Management Varick L. Erickson, University.Cerpa, University of California, Merced Heating, cooling and ventilation accounts for 35% energy usage in the United and Prediction for Building Energy Management and Auditing. ACM Trans. Sensor Netw. V, N, Article A (August 2012

  2. Interacting new agegraphic Phantom model of dark energy in non-flat universe

    E-Print Network [OSTI]

    M. R. Setare

    2009-07-28T23:59:59.000Z

    In this paper we consider the new agegraphic model of interacting dark energy in non-flat universe. We show that the interacting agegraphic dark energy can be described by a phantom scalar field. Then we show this phantomic description of the agegraphic dark energy and reconstruct the potential of the phantom scalar field.

  3. New holographic scalar field models of dark energy in non-flat universe

    E-Print Network [OSTI]

    K. Karami; J. Fehri

    2009-12-08T23:59:59.000Z

    Motivated by the work of Granda and Oliveros [L.N. Granda, A. Oliveros, Phys. Lett. B {\\bf 671}, 199 (2009)], we generalize their work to the non-flat case. We study the correspondence between the quintessence, tachyon, K-essence and dilaton scalar field models with the new holographic dark energy model in the non-flat FRW universe. We reconstruct the potentials and the dynamics for these scalar field models, which describe accelerated expansion of the universe. In the limiting case of a flat universe, i.e. $k = 0$, all results given in [L.N. Granda, A. Oliveros, Phys. Lett. B {\\bf 671}, 199 (2009)] are obtained.

  4. University of Delaware | Catalysis Center for Energy Innovation | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSite Map SiteResearch ThrustMaterials

  5. Dark matter and dark energy production in quantum model of the universe

    E-Print Network [OSTI]

    V. E. Kuzmichev; V. V. Kuzmichev

    2004-05-24T23:59:59.000Z

    The quantum model of the homogeneous, isotropic, and spatially closed universe predicts an existence of two types of collective quantum states in the universe. The states of one type characterize a gravitational field, the others describe a matter (uniform scalar) field. In the first stage of the evolution of the universe a primordial scalar field evolves slowly into its vacuum-like state. In the second stage the scalar field oscillates about an equilibrium due to the quantum fluctuations. The universe is being filled with matter in the form of elementary quantum excitations of the vibrations of the scalar field. The separate quantum excitations are characterized by non-zero values of their energies (masses). Under the action of gravitational forces mainly these excitations decay into ordinary particles (baryons and leptons) and dark matter. The elementary quantum excitations of the vibrations of the scalar field which have not decayed up to now form dark energy. The numerical estimations lead to realistic values of both the matter density \\Omega_{M} = 0.29 (with the contributions from dark matter, \\Omega_{DM} = 0.25, and optically bright baryons, \\Omega_{stars} = 0.0025) and the dark energy density \\Omega_{X} = 0.71 if one takes that the mean energy ~ 10 GeV is released in decay of dark energy quantum and fixes baryonic component \\Omega_{B} = 0.04 according to observational data. The energy (mass) of dark energy quantum is equal to ~ 17 GeV and the energy > 2 x 10^{10} GeV is needed in order to detect it. Dark matter particle has the mass ~ 6 GeV. The Jeans mass for dark matter which is considered as a gas of such massive particles is equal to M_{J} ~ 10^{5} M_{\\odot}.

  6. The Dark Energy Universe

    E-Print Network [OSTI]

    Burra G. Sidharth

    2015-01-12T23:59:59.000Z

    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. Cosmological evolution and statefinder diagnostic for new holographic dark energy model in non flat universe

    E-Print Network [OSTI]

    M. Malekjani; A. Khodam-Mohammadi; N. Nazari-pooya

    2010-11-22T23:59:59.000Z

    In this paper, the holographic dark energy model with new infrared cut-off proposed by Granda and Oliveros has been investigated in spatially non flat universe. The dependency of the evolution of equation of state, deceleration parameter and cosmological evolution of Hubble parameter on the parameters of new HDE model are calculated. Also, the statefinder parameters $r$ and $s$ in this model are derived and the evolutionary trajectories in $s-r$ plane are plotted. We show that the evolutionary trajectories are dependent on the model parameters of new HDE model. Eventually, in the light of SNe+BAO+OHD+CMB observational data, we plot the evolutionary trajectories in $s-r$ and $q-r$ planes for best fit values of the parameters of new HDE model.

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

    E-Print Network [OSTI]

    Hodges, C.; Hernandez, A.

    2013-01-01T23:59:59.000Z

    Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 2010 Case Studies University of Houston, Calhoun Lofts, Houston, TX Texas State University, North Campus Housing Complex San Marcos, TX Stephen F. Austin University Nacogdoches, TX ESL... Dec. 16-18 Stephen F. Austin University Nacogdoches, TX ESL-KT-13-12-20 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Stephen F. Austin University – Nacogdoches, TX ESL-KT-13-12-20 CATEE 2013: Clean Air...

  9. Diffusion model of evolution of superthermal high-energy particles under scaling in the early Universe

    E-Print Network [OSTI]

    Ignatyev, Yu G

    2011-01-01T23:59:59.000Z

    The evolution of a superthermal relic component of matter is studied on the basis of non-equilibrium model of Universe and the Fokker-Planck type kinetic equation offered by one of the authors.

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

    E-Print Network [OSTI]

    Suresh Kumar

    2013-08-22T23:59:59.000Z

    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.

  11. 10/14/09 2:35 PMMathematicians' Alternate Model of the Universe Explains Away the Need For Dark Energy | Popular Science Page 1 of 13http://www.popsci.com/military-aviation-amp-space/article/2009-09/mathematicians-seek-explain-away-dark-energy-universe

    E-Print Network [OSTI]

    Temple, Blake

    -09/mathematicians-seek-explain-away-dark-energy-universe Mathematicians' Alternate Model of the Universe Explains An alternative theory eliminates dark energy by placing Earth at the center of expansion Expanding Universe What;10/14/09 2:35 PMMathematicians' Alternate Model of the Universe Explains Away the Need For Dark Energy

  12. I - Matter, antimatter and geometry II - The twin universe model : a solution to the problem of negative energy particles III - The twin universe model plus electric charges and matter-antimatter symmetry

    E-Print Network [OSTI]

    Frederic Henry-Couannier; Gilles D'Agostini; Jean-Pierre Petit

    2005-03-09T23:59:59.000Z

    We introduce a new dynamical group whose coadjoint action on its momentum space takes account of matter-antimatter symmetry on pure geometrical grounds. According to this description the energy and the spin are unchanged under matter-antimatter symmetry. We recall that the antichron components of the Poincar\\'{e} group, ruling relativistic motions of a mass-point particle, generate negative energy particles. The model with two twin universes, inspired by Sakharov's one, solves the stability issue. Positive and negative energy particles motions hold in two distinct folds. The model is extended to charged particles. As a result, the matter-antimatter duality holds in both universes.

  13. 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

    2014-11-25T23:59:59.000Z

    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.

  14. 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

    2014-01-01T23:59:59.000Z

    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 ...

  15. Energy-consumption modelling

    SciTech Connect (OSTI)

    Reiter, E.R.

    1980-01-01T23:59:59.000Z

    A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.

  16. West Virginia University 1 Energy Systems Engineering

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    West Virginia University 1 Energy Systems Engineering The Master of Science in Energy Systems and skills relative to the production, conversion, transmission, and utilization of energy storage, modeling and simulation of energy systems, and critical materials for energy generation and utilization. Students enrolled

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

    E-Print Network [OSTI]

    Observations and Modeling of the Green Ocean Amazon (GoAmazon2014) PI: Scot T. Martin, Harvard University Funding Agency: Department of Energy Main Deployment: 1 January 2014 through 31 December 2014

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

    Energy Savers [EERE]

    Northwestern University Team Wins Energy Department's National Clean Energy Business Plan Competition Northwestern University Team Wins Energy Department's National Clean Energy...

  19. 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

  20. Sandia Energy - Systems Modeling

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

    Simulation Model Energy, Power & Water Simulation Model SunCity Model Water, Energy and Carbon Sequestration Model Gila Basin-Az Water Settlement Model Electrical Grid Storage...

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

    E-Print Network [OSTI]

    Carreira-Perpińán, Miguel Á.

    -conditioning (HVAC) systems [EIA 2010]. Studies suggest that 15% to 25% of HVAC energy can be saved by setting: Occupancy-based system for efficient reduction of HVAC energy," in Proceedings of the 10th International control strategy," in Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy

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

    Energy Savers [EERE]

    Announces Finalists for National University Geothermal Energy Competition Energy Department Announces Finalists for National University Geothermal Energy Competition May 7, 2012 -...

  3. Chalmers University of Technology Henrik Thunman Department of Energy Conversion

    E-Print Network [OSTI]

    Chalmers University of Technology Henrik Thunman Department of Energy Conversion Modelling of the volume #12;Chalmers University of Technology Henrik Thunman Department of Energy Conversion Momentum University of Technology Henrik Thunman Department of Energy Conversion rad pp qHm x T k xx Tc u t Tc

  4. Chalmers University of Technology Henrik Thunman Department of Energy Conversion

    E-Print Network [OSTI]

    Chalmers University of Technology Henrik Thunman Department of Energy Conversion ModellingSpecies #12;Chalmers University of Technology Henrik Thunman Department of Energy Conversion Continuity+ -¸ ą · ¨ © § = + #12;Chalmers University of Technology Henrik Thunman Department of Energy Conversion rad pp qHm x T k

  5. Sandia Energy - Modeling

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

    Research and Innovation (CIRI), Computational Modeling & Simulation, Energy, Energy Storage, Energy Storage Systems, Facilities, HITEC, Infrastructure Security,...

  6. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place: Beaver322°, -90.3165242°

  7. A Dark Energy Model with Generalized Uncertainty Principle in the Emergent, Intermediate and Logamediate Scenarios of the Universe

    E-Print Network [OSTI]

    Rahul Ghosh; Surajit Chattopadhyay; Ujjal Debnath

    2011-10-22T23:59:59.000Z

    This work is motivated by the work of Kim et al (2008), which considered the equation of state parameter for the new agegraphic dark energy based on generalized uncertainty principle coexisting with dark matter without interaction. In this work, we have considered the same dark energy inter- acting with dark matter in emergent, intermediate and logamediate scenarios of the universe. Also, we have investigated the statefinder, kerk and lerk parameters in all three scenarios under this inter- action. The energy density and pressure for the new agegraphic dark energy based on generalized uncertainty principle have been calculated and their behaviors have been investigated. The evolu- tion of the equation of state parameter has been analyzed in the interacting and non-interacting situations in all the three scenarios. The graphical analysis shows that the dark energy behaves like quintessence era for logamediate expansion and phantom era for emergent and intermediate expansions of the universe.

  8. University Coal Research | Department of Energy

    Energy Savers [EERE]

    Research University Coal Research University Coal Research Universities frequently win Fossil Energy research competitions or join with private companies to submit successful...

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

    E-Print Network [OSTI]

    Shun-Jin Wang

    2014-10-27T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Burra G. Sidharth

    2008-03-30T23:59:59.000Z

    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.

  11. 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)

    2001-01-01T23:59:59.000Z

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

  12. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferAprilOverview |November 2013 NewsNuclear EnergyResearch and Development

  13. University of Delaware Energy Institute

    SciTech Connect (OSTI)

    Klein, Michael T

    2012-09-30T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Tsang, Chin Fu

    2013-01-01T23:59:59.000Z

    Auburn University Thermal Energy Storage , LBL No. 10194.Mathematical modeling of thermal energy storage in aquifers,of Current Aquifer Thermal Energy Storage Programs (in

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

    Energy Savers [EERE]

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

  16. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°,KansasUniversity, Florida:

  17. Agegraphic Chaplygin gas model of dark energy

    E-Print Network [OSTI]

    Ahmad Sheykhi

    2010-02-07T23:59:59.000Z

    We establish a connection between the agegraphic models of dark energy and Chaplygin gas energy density in non-flat universe. We reconstruct the potential of the agegraphic scalar field as well as the dynamics of the scalar field according to the evolution of the agegraphic dark energy. We also extend our study to the interacting agegraphic generalized Chaplygin gas dark energy model.

  18. CORNELL UNIVERSITY Community Energy Choices

    E-Print Network [OSTI]

    Walter, M.Todd

    of Caroline to help small communities develop new energy use and production models centered around "green to be similar to the Township of Caroline in New York State to help make the report more applicable to its .................................................................................................17 Appendix B: Economics of New Energy Systems

  19. University of California Energy Institute The California Electricity Market

    E-Print Network [OSTI]

    California at Berkeley. University of

    of California Energy Institute Transmission Pricing Models · Fixed cost pricing models (cost recovery » Decentralized (Wu and Varaiya) #12;University of California Energy Institute Point: PoolCo and the Nodal Pricing Framework · Energy prices are set by ISO at various locations (nodes or zones) · Transmission prices

  20. Tachyon warm inflationary universe models

    E-Print Network [OSTI]

    R. Herrera; S. del Campo; C. Campuzano

    2006-10-11T23:59:59.000Z

    Warm inflationary universe models in a tachyon field theory are studied. General conditions required for these models to be realizable are derived and discussed. We describe scalar perturbations (in the longitudinal gauge) and tensor perturbations for these scenarios. We develop our models for a constant dissipation parameter $\\Gamma$ in one case and one dependent on $\\phi$ in the other case. We have been successful in describing such of inflationary universe models. We use recent astronomical observations for constraining the parameters appearing in our model. Also, our results are compared with their analogous found in the cool inflationary case.

  1. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomassSustainable and InnovativeBrookmont,Florida:BryantBuchanan,OpenUniversity

  2. Evolution of the horizons for dark energy universe

    E-Print Network [OSTI]

    Ritabrata Biswas; Nairwita Mazumder; Subenoy Chakraborty

    2011-06-12T23:59:59.000Z

    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.

  3. University of Oklahoma - High Energy Physics

    SciTech Connect (OSTI)

    Skubic, Patrick L. [University of Oklahoma] [University of Oklahoma

    2013-07-31T23:59:59.000Z

    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.

  4. Modelling dark energy 

    E-Print Network [OSTI]

    Jackson, Brendan Marc

    2011-11-23T23:59:59.000Z

    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 ...

  5. Dark Energy and Large-Scale Structure of the Universe

    E-Print Network [OSTI]

    Yu. Kulinich; B. Novosyadlyj

    2004-12-14T23:59:59.000Z

    The evolution of matter density perturbations in two-component model of the Universe consisting of dark energy (DE) and dust-like matter (M) is considered. We have analyzed it for two kinds of DE with $\\omega\

  6. 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

  7. Langston University - High Energy Physics

    SciTech Connect (OSTI)

    snow, joel

    2012-08-13T23:59:59.000Z

    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 the PI took on the role of global Monte Carlo production coordinator for the DZero experiment. In January of 2004 the PI started working with the SAMGrid development team to help debug, deploy, and integrate SAMGrid with DZero Monte Carlo production. The PI 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's tenure as production coor

  8. University of Minnesota and the Department of Energy Celebrate...

    Energy Savers [EERE]

    University of Minnesota and the Department of Energy Celebrate New Wind Energy Research Station University of Minnesota and the Department of Energy Celebrate New Wind Energy...

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

    E-Print Network [OSTI]

    Wontae Kim; Myungseok Yoon

    2007-03-03T23:59:59.000Z

    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.

  10. University College Dublin Energy Policy and Strategy

    E-Print Network [OSTI]

    University College Dublin Energy Policy and Strategy 2008-2012 #12;Design: Media Services, UCD.This will allow the University to have strategies in place ahead of demand and regulation'. Energy is seen IT Services #12;Table of Contents 1 Energy Management

  11. Electron and Photon Energy Deposition in Universe

    E-Print Network [OSTI]

    Toru Kanzaki; Masahiro Kawasaki

    2008-05-26T23:59:59.000Z

    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.

  12. Energy States of Universe and New Phantom Energy

    E-Print Network [OSTI]

    Mahgoub Salih

    2009-06-20T23:59:59.000Z

    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 .

  13. Jelly Bean Universe (Dark Matter / Dark Energy)

    ScienceCinema (OSTI)

    Kurt Riesselmann

    2010-01-08T23:59:59.000Z

    Fermilab's Kurt Riesselmann explains how to make a jelly bean universe to help explain the mysteries of dark matter and dark energy.

  14. Sandia Energy - Modeling

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

    Sandia Will Host PV Bankability Workshop at Solar Power International (SPI) 2013 Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid...

  15. Interacting agegraphic tachyon model of dark energy

    E-Print Network [OSTI]

    A. Sheykhi

    2009-11-16T23:59:59.000Z

    Scalar-field dark energy models like tachyon are often regarded as an effective description of an underlying theory of dark energy. In this Letter, we implement the interacting agegraphic dark energy models with tachyon field. We demonstrate that the interacting agegraphic evolution of the universe can be described completely by a single tachyon scalar field. We thus reconstruct the potential as well as the dynamics of the tachyon field according to the evolutionary behavior of interacting agegraphic dark energy.

  16. Energy Department Helps University of California Develop Net...

    Energy Savers [EERE]

    Energy Transition Initiative Energy Department Helps University of California Develop Net-Zero Campus Energy Department Helps University of California Develop Net-Zero Campus...

  17. THE UNIVERSITY OF CALGARY One Size Does Not Fit All: Extending the Transtheoretical Model to Energy Feedback

    E-Print Network [OSTI]

    Greenberg, Saul

    of technologies that provide real-time, energy usage feedback. However, current technologies use a "one notions for designers of technology that motivates sustainable energy behaviour. Second, I show how to illustrate the application of the framework to inform energy feedback technology design. The first

  18. Curvaton field and intermediate inflationary universe model

    E-Print Network [OSTI]

    Sergio del Campo; Ramon Herrera

    2007-10-29T23:59:59.000Z

    The curvaton in an intermediate inflationary universe model is studied. This study has allowed us to find some interesting constraints on different parameters that appear in the model.

  19. James B. Bushnell University of California Energy Institute 111 Dale Ave.

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Alex Farrell) "Public and Private Risk Management in a Carbon- Constrained Energy Sector." Coleman FungJames B. Bushnell University of California Energy Institute 111 Dale Ave. 2547 Channing Way Economics · Energy Policy · Environmental Economics · Game Theoretic Optimization Models Academic

  20. UCDavis University of California A California Energy

    E-Print Network [OSTI]

    California at Davis, University of

    PEV drivers charge at home #12;Charging behavior ­ self reportedLarger sample ­About 50% sayUCDavis 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

  1. Nuclear Energy University Program | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy:Nanowire3627 Federal Register /7 This is aLinksNuclear EnergyEnergy

  2. 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...

  3. Links | NEES - EFRC | University of Maryland Energy Frontier...

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

    Sciences U.S. Department of Energy, EFRC Program Energy Frontier Community The University of Maryland, College Park Sandia National Laboratories The University of California,...

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

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

    Pennsylvania State University Wins Big In Las Vegas: Energy Department Crowns Collegiate Wind Competition Champion Pennsylvania State University Wins Big In Las Vegas: Energy...

  5. Tachyon-Chaplygin inflationary universe model

    E-Print Network [OSTI]

    Sergio del Campo; Ramon Herrera

    2008-01-21T23:59:59.000Z

    Tachyonic inflationary universe model in the context of a Chaplygin gas equation of state is studied. General conditions for this model to be realizable are discussed. By using an effective exponential potential we describe in great details the characteristic of the inflationary universe model. The parameters of the model are restricted by using recent astronomical observations.

  6. Warm Anisotropic Inflationary Universe Model

    E-Print Network [OSTI]

    Sharif, M

    2014-01-01T23:59:59.000Z

    This paper is devoted to study the warm inflation using vector fields in the background of locally rotationally symmetric Bianchi type I universe model. We formulate the field equations, slow-roll and perturbation parameters (scalar and tensor power spectra as well as their spectral indices) under slow-roll approximation. We evaluate all these parameters in terms of directional Hubble parameter during intermediate and logamediate inflationary regimes by taking the dissipation factor as a function of scalar field as well as a constant. In each case, we calculate the observational parameter of interest, i.e., tensor-scalar ratio in terms of inflation. The graphical behavior of these parameters shows that the anisotropic model is also compatible with WMAP7 and Planck observational data.

  7. Warm Anisotropic Inflationary Universe Model

    E-Print Network [OSTI]

    M. Sharif; Rabia Saleem

    2013-11-26T23:59:59.000Z

    This paper is devoted to study the warm inflation using vector fields in the background of locally rotationally symmetric Bianchi type I universe model. We formulate the field equations, slow-roll and perturbation parameters (scalar and tensor power spectra as well as their spectral indices) under slow-roll approximation. We evaluate all these parameters in terms of directional Hubble parameter during intermediate and logamediate inflationary regimes by taking the dissipation factor as a function of scalar field as well as a constant. In each case, we calculate the observational parameter of interest, i.e., tensor-scalar ratio in terms of inflation. The graphical behavior of these parameters shows that the anisotropic model is also compatible with WMAP7 and Planck observational data.

  8. A Supply-Demand Model Based Scalable Energy Management System for Improved Energy

    E-Print Network [OSTI]

    Bhunia, Swarup

    energy generation and consumption parameters. The system uses economics inspired supply-demand modelA Supply-Demand Model Based Scalable Energy Management System for Improved Energy Utilization Western Reserve University, *Cleveland State University, +Rockwell Automation, Cleveland, OR, USA Email

  9. Hoechst Celanese Energy Model 

    E-Print Network [OSTI]

    Fitzpatrick, B. A.; Gangadhar, K.

    1992-01-01T23:59:59.000Z

    operating areas or "units" in HOCEM, though some of the units are as simple as cooling towers and others as complex as production areas. A VAX-based spreadsheet software program, Graphic Outlook, from stone Mountain Computing was selected as the model... an energy model which is modular in structure and granular in function. It was also our intention to develop the model on a VAX based software platform so that an on-line plant information system could be linked to the model. Graphic Outlook, a VAX...

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovationinConcentratingEnergyCoosa Valley Electric CoopCornell

  11. 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

  12. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form History Facebook icon TwitterZip JumpProwindPuda Coal IncPulsePurdue

  13. Shanghai 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form HistoryRistma AGShandong Lusa New EnergyShanghai SencoShanghai

  14. Hamdard 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetec AG| Open EnergyGuntersvilleHallandale Beach, Florida:HamblenNew

  15. Murdoch 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLu anMicrogreenMoon LakeMountainMunicipal Energy Agency of NE

  16. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk,Southeast ColoradoOhio: Energy ResourcesSpire Solar JumpName:

  17. Auburn 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions Inc Jump to: navigation, searchInformationJumpEnergyAlabama

  18. Dark Energy in Global Brane Universe

    E-Print Network [OSTI]

    Yongli Ping; Lixin Xu; Chengwu Zhang; Hongya Liu

    2007-12-20T23:59:59.000Z

    We discuss the exact solutions of brane universes and the results indicate the Friedmann equations on the branes are modified with a new density term. Then, we assume the new term as the density of dark energy. Using Wetterich's parametrization equation of state (EOS) of dark energy, we obtain the new term varies with the red-shift z. Finally, the evolutions of the mass density parameter $\\Omega_2$, dark energy density parameter $\\Omega_x$ and deceleration parameter q_2 are studied.

  19. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to: navigation,working-groupsIllinois:LakeIowa:Lambda EnergiaVirginia:

  20. Purdue 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag Jump to:ID8/OrganizationTechProbSolutionsPublic ArtTexas

  1. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLu anMicrogreenMoonNASA/AmesNSNanotecture Ltd

  2. Sichuan 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form HistoryRistma AGShandongShirkeSichuan Miyi Shixia

  3. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperativeCROSS-VALIDATION OFNyack,

  4. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMary CrawfordMesaModeling

  5. Competitive Energy Reduction (CER) Campaign at the University of Texas

    E-Print Network [OSTI]

    Hofmann, Hans A.

    1 Competitive Energy Reduction (CER) Campaign at the University of Texas Scientists and Engineers Reduction Campaign at the University of Texas Energy Reduced by Enlisting Volunteers and Promoting .................................................................................................................................................10 Appendix A ­ Lab Energy Audit Checklist

  6. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovationinConcentratingEnergyCoosa Valley Electric CoopCornell University

  7. On the Zero-energy Universe

    E-Print Network [OSTI]

    Marcelo Samuel Berman

    2009-08-16T23:59:59.000Z

    We consider the energy of the Universe, from the pseudo-tensor point of view(Berman,1981). We find zero values, when the calculations are well-done.The doubts concerning this subject are clarified, with the novel idea that the justification for the calculation lies in the association of the equivalence principle, with the nature of co-motional observers, as demanded in Cosmology. In Section 4, we give a novel calculation for the zero-total energy result.

  8. New agegraphic dark energy model with generalized uncertainty principle

    E-Print Network [OSTI]

    Yong-Wan Kim; Hyung Won Lee; Yun Soo Myung; Mu-In Park

    2008-08-07T23:59:59.000Z

    We investigate the new agegraphic dark energy models with generalized uncertainty principle (GUP). It turns out that although the GUP affects the early universe, it does not change the current and future dark energy-dominated universe significantly. Furthermore, this model could describe the matter-dominated universe in the past only when the parameter $n$ is chosen to be $n>n_c$, where the critical value determined to be $n_c=2.799531478$.

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

    Office of Environmental Management (EM)

    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...

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

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

    University-Led Projects to Create More Efficient, Lower Cost Concentrating Solar Power Systems Energy Department Announces New University-Led Projects to Create More Efficient,...

  11. Universal Nuclear Energy Density Functional

    SciTech Connect (OSTI)

    Carlson, Joseph; Furnstahl, Richard; Horoi, Mihai; Lusk, Rusty; Nazarewicz, Witold; Ng, Esmond; Thompson, Ian; Vary, James

    2012-12-01T23:59:59.000Z

    An understanding of the properties of atomic nuclei is crucial for a complete nuclear theory, for element formation, for properties of stars, and for present and future energy and defense applications. 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. Until recently such an undertaking was hard to imagine, and even at the present time such an ambitious endeavor would be far beyond what a single researcher or a traditional research group could carry out.

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

    E-Print Network [OSTI]

    V. Majernik

    2003-11-06T23:59:59.000Z

    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.

  13. The Energy of Bianchi Type I and II Universes in Teleparallel Gravity

    E-Print Network [OSTI]

    Lau Loi So; T. Vargas

    2006-11-02T23:59:59.000Z

    For certain models, the energy of the universe which includes the energy of both the matter and the gravitational fields is obtained by using the quasilocal energy-momentum in teleparallel gravity. It is shown that in the case of the Bianchi type I and II universes, not only the total energy but also the quasilocal energy-momentum for any region vanishes independently of the three dimensionless coupling constants of teleparallel gravity.

  14. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorpUniversity of Pittsburgh

  15. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorpUniversity offor

  16. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmwelt Management AG UMaAGUnitil EnergyBerkeleyUniversity of

  17. University of Lisbon | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmwelt Management AG UMaAGUnitil EnergyBerkeleyUniversity

  18. University of Maine 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmwelt Management AG UMaAGUnitil EnergyBerkeleyUniversityMaine

  19. Intermediate-Generalized Chaplygin Gas inflationary universe model

    E-Print Network [OSTI]

    Herrera, Ramon; Videla, Nelson

    2013-01-01T23:59:59.000Z

    An intermediate inflationary universe model in the context of a generalized Chaplygin gas is considered. For the matter we consider two different energy densities; a standard scalar field and a tachyon field, respectively. In general, we discuss the conditions of an inflationary epoch for these models. We also, use recent astronomical observations from Wilkinson Microwave Anisotropy Probe seven year data for constraining the parameters appearing in our models.

  20. University of Arizona Compressed Air Energy Storage

    SciTech Connect (OSTI)

    Simmons, Joseph; Muralidharan, Krishna

    2012-12-31T23:59:59.000Z

    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.

  1. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015 -Helicopter-Japan Joint Nuclear EnergyRodUniversity of Delaware

  2. Multi-Factor Energy Price Models Exotic Derivatives Pricing

    E-Print Network [OSTI]

    Jaimungal, Sebastian

    Multi-Factor Energy Price Models and Exotic Derivatives Pricing by Samuel Hikspoors A thesis of Statistics University of Toronto c Copyright by Samuel Hikspoors 2008 #12;Multi-Factor Energy Price Models and practitioners alike recently started to develop the tools of energy derivatives pricing

  3. Closed inflationary universe models in Braneworld Cosmology

    E-Print Network [OSTI]

    Sergio del Campo; Ramon Herrera; Joel Saavedra

    2004-12-21T23:59:59.000Z

    In this article we study closed inflationary universe models proposed by Linde in a brane world cosmological context. In this scenario we determine and characterize the existence of a closed universe, in presence of one self-interacting scalar field with an inflationary stage. Our results are compared to those found in General Relativity.

  4. Warm-Chaplygin inflationary universe model

    E-Print Network [OSTI]

    Sergio del Campo; Ramon Herrera

    2008-06-03T23:59:59.000Z

    Warm inflationary universe models in the context of a Chaplygin gas equation are studied. General conditions required for these models to be realizable are derived and discussed. By using a chaotic potential we develop models for a dissipation coefficient of the form $\\Gamma\\propto \\phi^n$, with $n=0$ or $n\

  5. Warm-Logamediate inflationary universe model

    E-Print Network [OSTI]

    Herrera, Ramon

    2012-01-01T23:59:59.000Z

    Warm inflationary universe models in the context of logamediate expansion are studied. General conditions required for these models to be realizable and discussed. This study is done in the weak and strong dissipative regimes. The parameters of our models are constrained from the observational data.

  6. Warm-Logamediate inflationary universe model

    E-Print Network [OSTI]

    Ramon Herrera; Marco Olivares

    2012-05-10T23:59:59.000Z

    Warm inflationary universe models in the context of logamediate expansion are studied. General conditions required for these models to be realizable and discussed. This study is done in the weak and strong dissipative regimes. The parameters of our models are constrained from the observational data.

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

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

    At Hampton University, Energy Sec. Moniz to Echo President's State of the Union Call to Make America a Magnet for Good Jobs and Innovation At Hampton University, Energy Sec. Moniz...

  8. UNIVERSITY OF ARIZONA HIGH ENERGY PHYSICS PROGRAM

    SciTech Connect (OSTI)

    Rutherfoord, John P. [University of Arizona] [University of Arizona; Johns, Kenneth A. [University of Arizona] [University of Arizona; Shupe, Michael A. [University of Arizona] [University of Arizona; Cheu, Elliott C. [University of Arizona] [University of Arizona; Varnes, Erich W. [University of Arizona] [University of Arizona; Dienes, Keith [University of Arizona] [University of Arizona; Su, Shufang [University of Arizona] [University of Arizona; Toussaint, William Doug [University of Arizona] [University of Arizona; Sarcevic, Ina [University of Arizona] [University of Arizona

    2013-07-29T23:59:59.000Z

    The High Energy Physics Group at the University of Arizona has conducted forefront research in elementary particle physics. Our theorists have developed new ideas in lattice QCD, SUSY phenomenology, string theory phenomenology, extra spatial dimensions, dark matter, and neutrino astrophysics. The experimentalists produced significant physics results on the ATLAS experiment at CERN's Large Hadron Collider and on the D0 experiment at the Fermilab Tevatron. In addition, the experimentalists were leaders in detector development and construction, and on service roles in these experiments.

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

    Energy Savers [EERE]

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

  10. 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.

  11. 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...

  12. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation,Goff,Holt Wind ProjectUniversity

  13. Michigan 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole Inc Jump to: navigation, search Name:State University

  14. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympiaAnalysis)PearlPennsylvania State University Jump

  15. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°,Kansas Place:University of

  16. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°,Kansas Place:University of

  17. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorpUniversity of

  18. News Letter Institute of Advanced Energy, Kyoto University

    E-Print Network [OSTI]

    Takada, Shoji

    . Abstract definition of energy consists of two parts: Energy = Exergy +Anergy Exergy is a part of energyNews Letter Institute of Advanced Energy, Kyoto University ISSN 1342-3193 IAE-NL-2014 No.54 http -- 2,709 2013 2013 Institute of Advanced Energy, Kyoto University #12; 25 25 11 20

  19. Gravitation Interaction and Electromagnetic Interaction in the Relativistic Universe with Total Zero and Local Non-Zero Energy

    E-Print Network [OSTI]

    Vladimir Skalsky; Miroslav Sukenik

    1996-03-08T23:59:59.000Z

    In the model of flat expansive homogeneous and isotropic relativistic universe with total zero and local non-zero energy the gravitation energy of bodies and the elecromagnetic energy of charged bodies can be localised.

  20. Model Building Energy Code

    Broader source: Energy.gov [DOE]

    ''Much of the information presented in this summary is drawn from the U.S. Department of Energy’s (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more...

  1. university-logo Hierarchical models for random permutations

    E-Print Network [OSTI]

    Villő, Csiszár

    university-logo The Models Results Summary Hierarchical models for random permutations Villo;university-logo The Models Results Summary Outline 1 The Models Motivation of the Models Conditional Csiszár Hierarchical models for permutations #12;university-logo The Models Results Summary Outline 1

  2. HiResHiRes Mapping the HighMapping the High Energy UniverseEnergy Universe

    E-Print Network [OSTI]

    HiResHiRes ­­ Mapping the HighMapping the High Energy UniverseEnergy Universe Stefan Westerhoff Columbia University HiRes Collaboration Fermilab Wine & Cheese Seminar 24 October 2003 #12;Particle-rays · Gamma-ray Astronomy ­ photons from MeV to TeV · Cosmic Rays ­ protons and heavier nuclei with energies

  3. Inventory of state energy models

    SciTech Connect (OSTI)

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

    1980-03-31T23:59:59.000Z

    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.

  4. Edinburgh University aka Wave Power Group | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazel Crest, Illinois:Edinburgh University aka Wave Power Group Jump to:

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

    E-Print Network [OSTI]

    T. R. Mongan

    1999-02-10T23:59:59.000Z

    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.

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

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

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

  7. Alternative Dark Energy Models: An Overview

    E-Print Network [OSTI]

    J. A. S. Lima

    2004-02-04T23:59:59.000Z

    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.

  8. Modeling of thermal energy storage in groundwater aquifers

    E-Print Network [OSTI]

    Reed, David Bryan

    1979-01-01T23:59:59.000Z

    , nuclear fission, fusion, geo- thermal energy, and solar energy as potential alternate energy sources to replace natural gas and oil. Of these, soIar energy is one of the most promisino alternate energy sources for space heating and cooling. Solar...MODELING OF THERMAL ENERGY STORAGE IN GROUNDWATER AQUIFERS A Thesis by DAVID BRYAN REED Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE December 1979...

  9. Dark Energy: Reason for the Existence of a Classical Universe?

    E-Print Network [OSTI]

    Huang, Peng; Li, Miao; Li, Nan

    2015-01-01T23:59:59.000Z

    Dark energy is investigated from the perspective of quantum cosmology. By treating the existence of a classical universe as a constraint, it is found that the normal ordering ambiguity factor q in Wheeler-DeWitt equation tends to take its value on domain (-1, 3). Furthermore, to ensure the existence of a classical universe, there must be dark energy in the universe. It is in this sense we propose that dark energy is the reason for the existence of a classical universe.

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°,Kansas Place:University

  11. University of California Energy Institute Design Choices in the

    E-Print Network [OSTI]

    California at Berkeley. University of

    Electricity Market » Transmission pricing #12;University of California Energy Institute Restructuring Goals Choices: Details · Organization of Firms · Pricing the Products ­ Energy Price Formation Process ­ Pricing, and Marketers #12;University of California Energy Institute Pricing Energy · Mandatory vs. Voluntary Pool · Day

  12. Energy Research at The State University of New York

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    Energy Research at The State University of New York Renewable & Alternative Fuels · Energy, energy production, and efficiency & conservation. The State University of New York #12;WHO WE, reduce dependence on foreign fuel, increase energy security, and boost economic development in New York

  13. University of Hawaii at Manoa HAWAII NATURAL ENERGY INSTITUTE

    E-Print Network [OSTI]

    Firestone, Jeremy

    Hawaii Natural Energy Institute School of Ocean and Earth Science and Technology University of Hawaii Hawaii Natural Energy Institute School of Ocean and Earth Science and Technology University of Hawaii of Hawaii at Manoa HAWAII NATURAL ENERGY INSTITUTE Hawaii Natural Energy Institute School of Ocean and Earth

  14. Thermodynamic of universe with a varying dark energy component

    E-Print Network [OSTI]

    Ebadi, E

    2015-01-01T23:59:59.000Z

    We consider a FRW universe filled by a dark energy candidate together with other possible sources which may include the baryonic and non-baryonic matters. Thereinafter, we consider a situation in which the cosmos sectors do not interact with each other. By applying the first law of thermodynamics on the apparent horizon of the FRW universe, we show that the dark energy candidate may modify the apparent horizon entropy and thus the Bekenstein limit. Moreover, we generalize our study to the models in which the cosmos sectors have a mutual interaction. Our final result indicates that the mutual interaction between the cosmos sectors may add an additional term to the apparent horizon entropy leading to modify the Bekenstein limit. Relationships with previous works have been addressed throughout the paper. Finally, we investigate the validity of the second law of thermodynamics and its generalization form in the interacting and non-interacting cosmos.

  15. Warm-Intermediate inflationary universe model

    E-Print Network [OSTI]

    Sergio del Campo; Ramon Herrera

    2009-03-24T23:59:59.000Z

    Warm inflationary universe models in the context of intermediate expansion, between power law and exponential, are studied. General conditions required for these models to be realizable are derived and discussed. This study is done in the weak and strong dissipative regimes. The inflaton potentials considered in this study are negative-power-law and powers of logarithms, respectively. The parameters of our models are constrained from the WMAP three and five year data.

  16. $?$CDM coupled to radiation. Dark energy and Universe acceleration

    E-Print Network [OSTI]

    Renat R. Abbyazov; Sergey V. Chervon; Volker Müller

    2014-09-02T23:59:59.000Z

    Recently the Chiral Cosmological Model (CCM) coupled to cold dark matter (CDM) has been investigated as $\\sigma$CDM model to study the observed accelerated expansion of the Universe. Dark sector fields (as Dark Energy content) coupled to cosmic dust were considered as the source of Einstein gravity in Friedmann-Robertson-Walker (FRW) cosmology. Such model had a beginning at the matter-dominated era. The purposes of our present investigation are two folds: to extend > of the $\\sigma$CDM for earlier times to radiation-dominated era and to take into account variation of the exponential potential via variation of the interaction parameter $\\lambda $. We use Markov Chain Monte Carlo (MCMC) procedure to investigate possible values of initial conditions constrained by the measured amount of the dark matter, dark energy and radiation component today. Our analysis includes dark energy contribution to critical density, the ratio of the kinetic and potential energies, deceleration parameter, effective equation of state and evolution of DE equation of state with variation of coupling constant $\\lambda $. A comparison with the $\\Lambda$CDM model was performed. A new feature of the model is the existence of some values of potential coupling constant, leading to a $\\sigma$CDM solution without transit into accelerated expansion epoch.

  17. A Walking Model with No Energy Cost M. W. Gomes

    E-Print Network [OSTI]

    Ruina, Andy L.

    on a frictional surface. Can legged transport over level ground be similarly energy-cost free? NatureA Walking Model with No Energy Cost M. W. Gomes Mechanics, Cornell University; now at Mechanical these minor friction losses, is a zero- energy-cost walking mechanism possible? Consider walking mechanisms

  18. Sandia Energy - Modeling

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

    Simulations Guide Nanowire Research Read More Permalink Gallery Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected Analysis, Energy Assurance, Infrastructure...

  19. Texas Tech University Energy Savings Program April 2007 Update

    E-Print Network [OSTI]

    Gelfond, Michael

    Texas Tech University Energy Savings Program April 2007 Update The Texas Tech Energy Savings Update detailed energy audit per month beginning with the largest consumers of energy. 2. Fleet Management Agencies. Energy numbers come from the Energy Report filed with SECO semi-annually. Texas Tech is currently

  20. Texas Tech University Energy Savings Program April 2007 Update

    E-Print Network [OSTI]

    Zhuang, Yu

    Texas Tech University Energy Savings Program April 2007 Update The Texas Tech Energy Savings Update a minimum of 1 detailed energy audit per month beginning with the largest consumers of energy. 2. Fleet Agencies. Energy numbers come from the Energy Report filed with SECO semi-annually. Texas Tech is currently

  1. Conformal Higgs model: predicted dark energy density

    E-Print Network [OSTI]

    R. K. Nesbet

    2014-11-03T23:59:59.000Z

    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.

  2. Sensitivity of Building Energy Simulation with Building Occupancy for a University Building 

    E-Print Network [OSTI]

    Chhajed, Shreyans

    2014-08-01T23:59:59.000Z

    of Texas A&M University. The energy model for the building was created using the DOE-2 engine and validated with actual energy consumption data. As constructed building characteristics and occupancy loading data were used in the DOE-2 model. Parametric runs...

  3. Sensitivity of Building Energy Simulation with Building Occupancy for a University Building

    E-Print Network [OSTI]

    Chhajed, Shreyans

    2014-08-01T23:59:59.000Z

    of Texas A&M University. The energy model for the building was created using the DOE-2 engine and validated with actual energy consumption data. As constructed building characteristics and occupancy loading data were used in the DOE-2 model. Parametric runs...

  4. Universal asymptotic umbrella for hydraulic fracture modeling

    E-Print Network [OSTI]

    Linkov, Aleksandr M

    2014-01-01T23:59:59.000Z

    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.

  5. Holographic Dark Energy with Time Varying n^2 Parameter in Non-Flat Universe

    E-Print Network [OSTI]

    Bushra Majeed; Mubasher Jamil; Azad A. Siddiqui

    2014-11-01T23:59:59.000Z

    We consider a holographic dark energy model, with a varying parameter, n, which evolves slowly with time. We obtain the differential equation describing evolution of the dark energy density parameter, $\\Omega_d$, for the flat and non-flat FRW universes. The equation of state parameter in this generalized version of holographic dark energy depends on n.

  6. Opportunities for Achieving Significant Energy Reduction in Existing University Buildings

    E-Print Network [OSTI]

    Hutyra, Lucy R.

    Opportunities for Achieving Significant Energy Reduction in Existing University Buildings of Findings from GE 520/MN 500: "Energy Audit/Conservation Analysis of BU's Charles River Campus" 2010 #12 Footprint: Boston University Charles River Campus. Presentation to the BU Energy Club. Results of 2007

  7. UK Energy Research Centre Demand Reduction Theme, University of Oxford

    E-Print Network [OSTI]

    UK Energy Research Centre Demand Reduction Theme, University of Oxford The Experience of Carbon Energy Research Centre ­ Demand Reduction Theme Environmental Change Institute Oxford University Centre for the Environment South Parks Road Oxford OX1 3QY www.eci.ox.ac.uk www.ukerc.ac.uk #12;UK Energy Research Centre 2 1

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    As part of President Obama’s Better Buildings Challenge, the Energy Department recognized the University of Utah today for its leadership in energy efficiency and for reducing energy use by 40 percent in a historic campus building, saving the University $57,000 a year.

  9. Columbia University Energy Options & Paths to Climate Stabilization

    E-Print Network [OSTI]

    Mauel, Michael E.

    -lived radioactive components. · Safe: no catastrophic accidents; Low-risk for nuclear materials proliferation WhyMike Mauel Columbia University Energy Options & Paths to Climate Stabilization Aspen, 9 July 2003 Fusion Energy: "Pipe Dream or Panacea" #12;Mike Mauel Columbia University Energy Options & Paths

  10. Regions in Energy Market Models

    SciTech Connect (OSTI)

    Short, W.

    2007-02-01T23:59:59.000Z

    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.

  11. Autotune Building Energy Models

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureComments fromof Energy Automation WorldofAutotune Building Energy

  12. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMary CrawfordMesa

  13. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitche Home About npitche This

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

    Energy Savers [EERE]

    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 in...

  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

    2003-03-01T23:59:59.000Z

    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. 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.

  17. Texas Tech University Energy Savings Program July 2007 Update

    E-Print Network [OSTI]

    Gelfond, Michael

    Texas Tech University Energy Savings Program July 2007 Update The Texas Tech Energy Savings Update Performance Contract - $560,000 with a 6 year payback. c. Perform a minimum of 1 detailed energy audit per Agencies. Energy numbers come from the Energy Report filed with SECO semi-annually. Texas Tech may

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

    E-Print Network [OSTI]

    Kammen, Daniel M.

    themes in the class will include gender and energy, renewable energy alternatives, risk managementUniversity 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

  19. Building Energy Modeling Library

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

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

  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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMary CrawfordMesa delMikeClimate

  1. Warm-polytropic inflationary universe model

    E-Print Network [OSTI]

    Setare, M R; Kamali, V

    2013-01-01T23:59:59.000Z

    In the present paper we study warm inflationary universe models in the context of a polytropic gas. We derive the characteristics of this model in slow-roll approximation and develop our model in two cases, 1- For a constant dissipative parameter $\\Gamma$. 2- $\\Gamma$ as a function of scalar field $\\phi$. In these cases we will obtain exact solution for the scalar field and Hubble parameter. We will also obtain explicit expressions for the tensor-scalar ratio $R$, scalar spectrum index $n_s$ and its running $\\alpha_s$, in slow-roll approximation.

  2. Warm-polytropic inflationary universe model

    E-Print Network [OSTI]

    M. R. Setare; M. J. S. Houndjo; V. Kamali

    2013-07-02T23:59:59.000Z

    In the present paper we study warm inflationary universe models in the context of a polytropic gas. We derive the characteristics of this model in slow-roll approximation and develop our model in two cases, 1- For a constant dissipative parameter $\\Gamma$. 2- $\\Gamma$ as a function of scalar field $\\phi$. In these cases we will obtain exact solution for the scalar field and Hubble parameter. We will also obtain explicit expressions for the tensor-scalar ratio $R$, scalar spectrum index $n_s$ and its running $\\alpha_s$, in slow-roll approximation.

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

    E-Print Network [OSTI]

    Chatterjee, S

    2010-01-01T23:59:59.000Z

    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...

  4. The University of Maryland Energy Research Center

    E-Print Network [OSTI]

    Shapiro, Benjamin

    Solar Decathlon. The university's campus is a living laboratory of "smartgrid" technology, implementing

  5. Unique University and Utility Team Reduces Energy and Pollutants

    E-Print Network [OSTI]

    Smith, K. L.; Traill, D. A.; Sears, R. L.; Spielman, M.

    In 1992 the Center for Energy Systems Research of the College of Engineering and Applied Sciences and the Arizona State University (ASU) Facilities Management Department formed a unique Demand Side Management (DSM) team dedicated to reducing energy...

  6. Modeling Ventilation in Multifamily Buildings John Markley, University of California, Davis -Western Cooling Efficiency Center

    E-Print Network [OSTI]

    California at Davis, University of

    Modeling Ventilation in Multifamily Buildings John Markley, University of California, Davis Efficiency Center Garth Torvestad, Benningfield Group, inc. ABSTRACT Proper ventilation is an essential that require special consideration in order to avoid excessive ventilation and energy waste. Two issues

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution Grid IntegrationOffshore WindPartnershipPhenomenological

  8. Sandia Energy - Systems 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocumentsInstitute ofSitingStaffSunshine toSystems

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution Grid Integration Permalink Gallery Mesa delMission

  10. Nonlocal String Tachyon as a Model for Cosmological Dark Energy

    SciTech Connect (OSTI)

    Aref'eva, Irina Ya. [Steklov Mathematical Institute, Russian Academy of Sciences, Gubkin st. 8, Moscow, 119991 (Russian Federation)

    2006-03-29T23:59:59.000Z

    There are many different phenomenological models describing the cosmological dark energy and accelerating Universe by choosing adjustable functions. In this paper we consider a specific model of scalar tachyon field which is derived from the NSR string field theory and study its cosmological applications. We find that in the effective field theory approximation the equation of state parameter w < -1, i.e. one has a phantom Universe. It is shown that due to nonlocal effects there is no quantum instability that the usual phantom models suffer from. Moreover due to a flip effect of the potential the Universe does not enter to a future singularity.

  11. Hoechst Celanese Energy Model

    E-Print Network [OSTI]

    Fitzpatrick, B. A.; Gangadhar, K.

    operating areas or "units" in HOCEM, though some of the units are as simple as cooling towers and others as complex as production areas. A VAX-based spreadsheet software program, Graphic Outlook, from stone Mountain Computing was selected as the model... heuristic guidelines. Finally, HOCEM optimizes on the actual costs of operation. STANDARDS DEVELOPMENT As was mentioned above, each of -50 operating areas forecasts its utilities demand. The general format for these "unit spreadsheets...

  12. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation inOpen Energy InformationSeries Jump to:CMRCOMMUTER Model Jump

  13. Warm inflationary universe model with viscous pressure on the brane

    E-Print Network [OSTI]

    Setare, M R

    2013-01-01T23:59:59.000Z

    In the present work warm inflationary universe model with viscous pressure on the brane in high-dissipation regime is studied. We derive a condition which is required for this model to be realizable in slow-roll approximation. We also present analytic expressions for density perturbation and amplitude of tensor perturbation in longitudinal gauge. General expressions of tensor-to-scalar ratio, scalar spectral index and its running are obtained. We develop our model by using chaotic potential, the characteristics of this model are calculated for two specific cases: 1- Dissipative parameter $\\Gamma$ and bulk viscous parameter $\\zeta$ are constant parameters. 2- Dissipative parameter as a function of scalar field $\\phi$ and bulk viscous parameter as a function of radiation-matter mixture energy density $\\rho$. The parameters of the model are restricted by the nine-year Wilkinson microwave anisotropy probe (WMAP9) and Planck observational data.

  14. 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.

    1991-01-01T23:59:59.000Z

    Several state owned buildings with dual-duct constant volume (DDCV) systems have been retrofitted with energy efficient variable air volume systems (VAV) as part of the Texas LoanSTAR Program. One method of determining the energy savings resulting...

  15. 100% DD Energy Model Update

    SciTech Connect (OSTI)

    None

    2011-06-30T23:59:59.000Z

    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.

  16. 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

  17. The University of Winnipeg Energy Management Policy

    E-Print Network [OSTI]

    Martin, Jeff

    or disposal, and includes transportation and energy. Local Energy Source ­ any energy source within 500 reduce overall energy demand, and where energy is required, to give preference to local, renewable energy of energy. 3. Encourage the development and use of modes of transportation by students, administration

  18. Texas Tech University Energy Conservation Plan -Quarterly Update

    E-Print Network [OSTI]

    Gelfond, Michael

    Texas Tech University Energy Conservation Plan - Quarterly Update April 2006 Executive Order RP-49 from the Governor's Office requires each state agency to develop an energy conservation plan and set Plan, reporting to the State Energy Conservation Office (SECO) is the two-year energy reduction goal

  19. Texas Tech University Energy Savings Program October 2007 Update

    E-Print Network [OSTI]

    Gelfond, Michael

    Texas Tech University Energy Savings Program October 2007 Update The Texas Tech Energy Savings,000 with a 6 year payback. b. Perform a minimum of 1 detailed energy audit per month beginning with the largest consumers of energy. 1) To date we have completed 10 detailed audits. 2. Fleet Management a. The Texas Tech

  20. 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

  1. **NEW UNIVERSITY-WIDE MINOR ** Minor in Sustainable Energy

    E-Print Network [OSTI]

    Goldberg, Bennett

    **NEW UNIVERSITY-WIDE MINOR ** Minor in Sustainable Energy Energy is central. The Minor in Sustainable Energy allows a student in any four-year undergraduate School or College perspectives, as taught by faculty in those areas. The minor in Sustainable Energy is a collaborative effort

  2. University of Geneva, Institute for Environmental Sciences, Energy Group

    E-Print Network [OSTI]

    Halazonetis, Thanos

    environment. Project and job description: Given the intermittency of many renewable energy sources (e.g. solar: The project, which is funded by the Swiss Competence Center for Energy Research (SCCER-Energy StorageUniversity of Geneva, Institute for Environmental Sciences, Energy Group At the Institute

  3. When did vacuum energy of the Universe become cosmological constant?

    E-Print Network [OSTI]

    V. Burdyuzha

    2007-12-29T23:59:59.000Z

    A quark-gluon phase transition in the Universe is researched after which vacuum (dark) energy has hardened and become cosmological constant. Before this a vacuum component of the Universe was changing by jumps during phase transitions since vacuum condensates of quantum fields carried a negative contribution in its positive density energy. This quintessence period of the Universe life took place during the first parts of a second when our Universe was losing high symmetry. Using Zel'dovich's formula the modern value of vacuum energy is also calculated. It is shown that a quantum chromodynamical vacuum which is characterized by pseudogoldstone bosons existed definitely when temperature of the Universe was T~150 MeV. Therefore there is a large probability that dark energy is vacuum energy.

  4. University of Minnesota Energy Conservation and Use

    E-Print Network [OSTI]

    Gulliver, Robert

    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 to 2000, the South East Steam Plant was retrofitted with two new gas / oil fired boilers and one

  5. Comment on ''Interacting holographic dark energy model and generalized second law of thermodynamics in a non-flat universe{sup ,} by M.R. Setare (JCAP 01 (2007) 023)

    SciTech Connect (OSTI)

    Karami, K., E-mail: kkarami@uok.ac.ir [Department of Physics, University of Kurdistan, Pasdaran St., Sanandaj (Iran, Islamic Republic of)

    2010-01-01T23:59:59.000Z

    Author of ref. 1, M.R. Setare (JCAP 01 (2007) 023), by redefining the event horizon measured from the sphere of the horizon as the system's IR cut-off for an interacting holographic dark energy model in a non-flat universe, showed that the generalized second law of thermodynamics is satisfied for the special range of the deceleration parameter. His paper includes an erroneous calculation of the entropy of the cold dark matter. Also there are some missing terms and some misprints in the equations of his paper. Here we present that his conclusion is not true and the generalized second law is violated for the present time independently of the deceleration parameter.

  6. Curvaton field and the intermediate inflationary universe model

    SciTech Connect (OSTI)

    Campo, Sergio del; Herrera, Ramon [Instituto de Fisica, Pontificia Universidad Catolica de Valparaiso, Avenida Brasil 2950, Valparaiso (Chile)

    2007-11-15T23:59:59.000Z

    The curvaton in an intermediate inflationary universe model is studied. This study has allowed us to find some interesting constraints on different parameters that appear in the model.

  7. EnergyPlus Model Appendix G -EnergyPlus Model

    E-Print Network [OSTI]

    Home B) C_ela 55.66 51.51 ELA (in.2) 38.83 35.93 The heating, ventilation, and air conditioning (HVAC) system is modeled as a single-speed heat pump with a Seasonal Energy Efficiency Ratio (SEER) of 13 where internal gains, heat pump operation mode and zone thermostat set-points are varied. Two sets

  8. Statefinder diagnosis and the interacting ghost model of dark energy

    E-Print Network [OSTI]

    M. Malekjani; A. Khodam-Mohammadi

    2012-02-19T23:59:59.000Z

    A new model of dark energy namely "ghost dark energy model" has recently been suggested to interpret the positive acceleration of cosmic expansion. The energy density of ghost dark energy is proportional to the hubble parameter. In this paper we perform the statefinder diagnostic tool for this model both in flat and non-flat universe. We discuss the dependency of the evolutionary trajectories in $s-r$ and $q-r$ planes on the interaction parameter between dark matter and dark energy as well as the spatial curvature parameter of the universe. Eventually, in the light of SNe+BAO+OHD+CMB observational data, we plot the evolutionary trajectories in $s-r$ and $q-r$ planes for the best fit values of the cosmological parameters and compare the interacting ghost model with other dynamical dark energy models. We show that the evolutionary trajectory of ghost dark energy in statefinder diagram is similar to holographic dark energy model. It has been shown that the statefinder location of $\\Lambda$CDM is in good agreement with observation and therefore the dark energy models whose current statefinder values are far from the $\\Lambda$CDM point can be ruled out.

  9. Dark energy in some integrable and nonintegrable FRW cosmological models

    E-Print Network [OSTI]

    Kuralay Esmakhanova; Nurgissa Myrzakulov; Gulgasyl Nugmanova; Yerlan Myrzakulov; Leonid Chechin; Ratbay Myrzakulov

    2011-09-14T23:59:59.000Z

    One of the greatest challenges in cosmology today is to determine the nature of dark energy, the sourse of the observed present acceleration of the Universe. Besides the vacuum energy, various dark energy models have been suggested. The Friedmann - Robertson - Walker (FRW) spacetime plays an important role in modern cosmology. In particular, the most popular models of dark energy work in the FRW spacetime. In this work, a new class of integrable FRW cosmological models is presented. These models induced by the well-known Painlev$\\acute{e}$ equations. Some nonintegrable FRW models are also considered. These last models are constructed with the help of Pinney, Schr$\\ddot{o}$dinger and hypergeometric equations. Scalar field description and two-dimensional generalizations of some cosmological models are presented. Finally some integrable and nonintegrable $F(R)$ and $F(G)$ gravity models are constructed.

  10. Staffing 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO Overview OCHCO OverviewRepositoryManagement |SolarSpecialStaffing Model Staffing Model

  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. bbnpbban0003809pmcdashboardy13-q3.xls More Documents & Publications...

  12. Holographic tachyon model of dark energy

    E-Print Network [OSTI]

    M R Setare

    2007-09-11T23:59:59.000Z

    In this paper we consider a correspondence between the holographic dark energy density and tachyon energy density in FRW universe. Then we reconstruct the potential and the dynamics of the tachyon field which describe tachyon cosmology.

  13. Cosmological viability conditions for f(T) dark energy models

    SciTech Connect (OSTI)

    Setare, M.R.; Mohammadipour, N., E-mail: rezakord@ipm.ir, E-mail: N.Mohammadipour@uok.ac.ir [Department of Science, University of Kurdistan, Sanandaj (Iran, Islamic Republic of)

    2012-11-01T23:59:59.000Z

    Recently f(T) modified teleparallel gravity where T is the torsion scalar has been proposed as the natural gravitational alternative for dark energy. We perform a detailed dynamical analysis of these models and find conditions for the cosmological viability of f(T) dark energy models as geometrical constraints on the derivatives of these models. We show that in the phase space exists two cosmologically viable trajectory which (i) The universe would start from an unstable radiation point, then pass a saddle standard matter point which is followed by accelerated expansion de sitter point. (ii) The universe starts from a saddle radiation epoch, then falls onto the stable matter era and the system can not evolve to the dark energy dominated epoch. Finally, for a number of f(T) dark energy models were proposed in the more literature, the viability conditions are investigated.

  14. Autotune E+ Building Energy Models

    SciTech Connect (OSTI)

    New, Joshua Ryan [ORNL; Sanyal, Jibonananda [ORNL; Bhandari, Mahabir S [ORNL; Shrestha, Som S [ORNL

    2012-01-01T23:59:59.000Z

    This paper introduces a novel Autotune methodology under development for calibrating building energy models (BEM). It is aimed at developing an automated BEM tuning methodology that enables models to reproduce measured data such as utility bills, sub-meter, and/or sensor data accurately and robustly by selecting best-match E+ input parameters in a systematic, automated, and repeatable fashion. The approach is applicable to a building retrofit scenario and aims to quantify the trade-offs between tuning accuracy and the minimal amount of ground truth data required to calibrate the model. Autotune will use a suite of machine-learning algorithms developed and run on supercomputers to generate calibration functions. Specifically, the project will begin with a de-tuned model and then perform Monte Carlo simulations on the model by perturbing the uncertain parameters within permitted ranges. Machine learning algorithms will then extract minimal perturbation combinations that result in modeled results that most closely track sensor data. A large database of parametric EnergyPlus (E+) simulations has been made publicly available. Autotune is currently being applied to a heavily instrumented residential building as well as three light commercial buildings in which a de-tuned model is autotuned using faux sensor data from the corresponding target E+ model.

  15. Dark Energy: Taking SidesDark Energy: Taking SidesDark Energy: Taking Sides The University of Chicago

    E-Print Network [OSTI]

    Yamamoto, Hirosuke

    Dark Energy: Taking SidesDark Energy: Taking SidesDark Energy: Taking Sides Rocky Kolb Barocky The University of Chicago #12;#12; Cold Dark Matter: (CDM) 25% Dark Energy (): 70% Stars: 0.5% H & He: gas 4 For Dark EnergyEvidence For Dark EnergyEvidence For Dark Energy 3) Baryon acoustic oscillations 4) Weak

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

    E-Print Network [OSTI]

    De Lavallaz, Arnaud

    2011-01-01T23:59:59.000Z

    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.

  17. Material models of dark energy

    E-Print Network [OSTI]

    Jonathan A. Pearson

    2014-09-16T23:59:59.000Z

    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.

  18. 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

    2015-01-01T23:59:59.000Z

    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?"

  19. 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

    2015-01-19T23:59:59.000Z

    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. Colleges and Universities | Department of Energy

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

    this field. San Juan College: Renewable Energy Program The Renewable Energy Program gives students a solid foundation in the fundamental physics and designinstallation techniques...

  1. NYSUNY 2020 Challenge Grant Application Binghamton University's Smart Energy Initiative

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    NYSUNY 2020 Challenge Grant Application Binghamton University's Smart Energy Initiative 2 Executive areas of research will include, for example, the development of solar energy and fuel cell technologies Summary 5 Constructing a Smart Energy Research and Development Facility 9 Expanding the Academic Mission

  2. 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

  3. 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

  4. University of Minnesota Energy Production Frequently Asked Questions

    E-Print Network [OSTI]

    Gulliver, Robert

    will be available to other customers. Why not use more "green" energy supplies like wind or oat hulls economy with a tuneup, a recommissioning team improves a building's energy efficiency. Simple, low cost1 University of Minnesota Energy Production Frequently Asked Questions How does

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department of Energy Completing theWhiz!NREL

  6. The only non-contradictory model of universe

    E-Print Network [OSTI]

    V. Skalsky

    2000-10-01T23:59:59.000Z

    The Friedmann equations of universe dynamics describe the infinite number of the Friedmannian models of universe. The consistent and distinguished relativistic, classical-mechanical, quantum-mechanical and formal-logical analysis of the Friedmannian universe models leads to a surprising and unexpected conclusion: The Friedmannian model of the flat expansive homogeneous and isotropic universe with the zero gravitational force state equation is the only model of universe, which does not contradict the: 1st Einstein general theory of relativity (and its special partial solutions: the Einstein special theory of relativity and the Newton theory of gravitation); 2nd quantum mechanics; 3rd fundamental formal principles of logical thinking; and 4th observations.

  7. The International Urban Energy Balance Models Comparison Project: First Results from Phase 1

    E-Print Network [OSTI]

    Ribes, Aurélien

    The International Urban Energy Balance Models Comparison Project: First Results from Phase 1 C. S and Kapodistrian University of Athens, Athens, Greece h University of Lo´ dz´, Lo´ dz´, Poland i Royal) ABSTRACT A large number of urban surface energy balance models now exist with different assumptions about

  8. Analytic Model of the Universal Structure of Turbulent Boundary Layers

    E-Print Network [OSTI]

    Victor S. L'vov; Itamar Procaccia; Oleksii Rudenko

    2006-06-21T23:59:59.000Z

    Turbulent boundary layers exhibit a universal structure which nevertheless is rather complex, being composed of a viscous sub-layer, a buffer zone, and a turbulent log-law region. In this letter we present a simple analytic model of turbulent boundary layers which culminates in explicit formulae for the profiles of the mean velocity, the kinetic energy and the Reynolds stress as a function of the distance from the wall. The resulting profiles are in close quantitative agreement with measurements over the entire structure of the boundary layer, without any need of re-fitting in the different zones.

  9. On the Universal Generation of Mobility Models Alberto Medina

    E-Print Network [OSTI]

    On the Universal Generation of Mobility Models Alberto Medina Raytheon BBN Technologies amedina@bbn.com Gonca Gursun Computer Science Dept. Boston University goncag@cs.bu.edu Prithwish Basu Raytheon BBN

  10. A graphical model approach for predicting free energies of association for protein-protein

    E-Print Network [OSTI]

    Langmead, Christopher James

    A graphical model approach for predicting free energies of association for protein University, Pittsburgh, PA 1 Corresponding Author: cjl@cs.cmu.edu #12;Keywords: Graphical Models, Free Energy in free energy, and the ability to predict binding free energies provides both better understanding

  11. EFRC Overview | University of Texas Energy Frontier Research...

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

    About the EFRC The Center for Nano- and Molecular Science and Technology (CNM) at The University of Texas at Austin is the site of an Energy Frontier Research Center (EFRC) funded...

  12. 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 Final Report August 2007 Environmental Impacts of air-gun surveys on Glass Sponges Principal Wimut (mjwilmut@uvic.ca) *Contact Department of Biology University of Victoria, PO Box 3020, Victoria BC

  13. University of Minnesota Hosts Clean Energy Events With U.S. Deputy...

    Office of Environmental Management (EM)

    will participate in an open press tour of the University of Minnesota's Eolos Wind Energy Research Station in Rosemount, Minnesota, with university officials and wind energy...

  14. Sandia Energy - Models & Tools

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear PressLaboratory Fellows Jerry SimmonsModels & Tools

  15. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatingsUltra-High-Voltage SiliconEnergyFailureGlobal Climate Models Home

  16. Conceptual 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png ElColumbia,2005) |Use ofInformationConceptual Model

  17. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMary CrawfordMesaModelingClimate

  18. Resource Letter: Dark Energy and the Accelerating Universe

    E-Print Network [OSTI]

    Eric V. Linder

    2007-05-28T23:59:59.000Z

    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. Building a Universal Nuclear Energy Density Functional

    SciTech Connect (OSTI)

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

    2012-12-30T23:59:59.000Z

    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.

  20. 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.

    2010-01-01T23:59:59.000Z

    photovoltaics renewable energy renewable energy certificate Regional Energy Deployment System model Renewable Energy and Efficiency

  1. Entropy In The Present And Early Universe: New Small Parameters And Dark Energy Problem

    E-Print Network [OSTI]

    A. E. Shalyt-Margolin

    2010-04-16T23:59:59.000Z

    It is demonstrated that entropy and its density play a significant role in solving the problem of the vacuum energy density (cosmological constant) of the Universe and hence the dark energy problem. Taking this in mind, two most popular models for dark energy - Holographic Dark Energy Model and Agegraphic Dark Energy Model - are analyzed. It is shown that the fundamental quantities in the first of these models may be expressed in terms of a new small dimensionless parameter. It is revealed that this parameter is naturally occurring in High Energy Gravitational Thermodynamics and Gravitational Holography (UV-limit). On this basis the possibility of a new approach to the problem of Quantum Gravity is discussed. Besides, the results obtained on the uncertainty relation of the pair "cosmological constant - volume of space-time", where the cosmological constant is a dynamic quantity, are reconsidered and generalized up to the Generalized Uncertainty Relation.

  2. Bishop's University Energy Efficiency Action Plan

    E-Print Network [OSTI]

    and ways of financing energy projects according to the Energy Service Companies (ESCO) method from AIPM Present Value) 1 - First phase of a two-tier process to pre-qualify three Energy Service Companies (ESCO Request a subsidy from the MELS Request grants from Hydro-Québec, GazMétro, etc. Final ESCO agreement

  3. Sustainable Energy Policy University Facilities (UF)

    E-Print Network [OSTI]

    Duchowski, Andrew T.

    . Alternative energy sources such as passive solar heating and heat recovery shall be considered, as well is in alignment with the requirements of SC House Bill 4766 (Energy Conservation Plans) which became effective of a LEED Silver certification, new buildings shall be designed and built to minimize energy use by earning

  4. Quantisation of the holographic Ricci dark energy model

    E-Print Network [OSTI]

    Albarran, Imanol

    2015-01-01T23:59:59.000Z

    While general relativity is an extremely robust theory to describe the gravitational interaction in our Universe, it is expected to fail close to singularities like the cosmological ones. On the other hand, it is well known that some dark energy models might induce future singularities; this can be the case for example within the setup of the Holographic Ricci Dark Energy model (HRDE). On this work, we perform a cosmological quantisation of the HRDE model and obtain under which conditions a cosmic doomsday can be avoided within the quantum realm. We show as well that this quantum model not only avoid future singularities but also the past Big Bang.

  5. State Energy Program: Kentucky Implementation Model Resources

    Broader source: Energy.gov [DOE]

    Below are resources associated with the U.S. Department of Energy's Weatherization and Intergovernmental Programs Office State Energy Program Kentucky Implementation Model.

  6. 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 in anticipation of increased power demands required by almost two million square feet of new development by the central power facility that provides power, heating, and cooling to campus buildings. Although additional

  7. Inflation, Dark Energy, and the Fate of the Universe

    SciTech Connect (OSTI)

    Linde, Andrei (Stanford University) [Stanford University

    2003-11-12T23:59:59.000Z

    Inflationary theory, which describes an accelerated expansion of the early universe, gradually becomes a standard cosmological paradigm. It solves many complicated problems of the usual big bang theory, explains the origin of galaxies, and makes several predictions, which, so far, are in a good agreement with cosmological observations. Recently we learned that few billion years ago the universe entered the second stage of acceleration, driven by mysterious 'dark energy'. According to the simplest version of inflationary theory, the universe is an eternally existing self-reproducing fractal consisting of different balloons of exponentially large size. The universe as a whole can be immortal, but the fate of each of these balloons, including the one in which we live now, depends on the properties of dark energy. According to some of the theories of dark energy, our part of the universe will continue its accelerated expansion forever. Other theories predict that eventually our part of the universe will become ten-dimensional and stop accelerating. Still another possibility is that our part of the universe will collapse. I will describe recent developments in inflationary theory and the theory of dark energy, and discuss the possibility to find our fate by cosmological observations.

  8. Universal Critical Behavior in the Dicke Model

    E-Print Network [OSTI]

    Octavio Castańos; Eduardo Nahmad-Achar; Ramón López-Peńa; Jorge G. Hirsch

    2012-06-05T23:59:59.000Z

    The critical value of the atom-field coupling strength for a finite number of atoms is deter- mined by means of both, semiclassical and exact solutions. In the semiclassical approach we use a variational procedure with coherent and symmetry-adapted states, while for the exact quantum solution the concept of fidelity is employed. These procedures allow for the determination of the phase transitions in the model, and coincide in the thermodynamic limit. For the three cases men- tioned above, universal parametric curves are obtained for the expectation values of both the first quadrature of the electromagnetic field, and the atomic relative population, as implicit functions of the atom-field coupling parameter, valid for the ground- and first-excited states.

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

    E-Print Network [OSTI]

    S. Chatterjee

    2011-01-28T23:59:59.000Z

    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.

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

    Open Energy Info (EERE)

    Pv, Biomass - Waste To Energy Phase Develop Finance and Implement Projects Resource Type Case studiesexamples Availability Publicly available--Free Publication Date 222011...

  11. Spotlighting Howard University | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssues DOE's Nuclear EnergySmartOverviewEnergySpotlighting Howard

  12. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation inOpen EnergyCallawayCapara Energia S ACarbonWar

  13. DOE Virtual 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO OverviewAttachments4 ChairsEnergy DOEHeatEnergy Takes NextDOE TribalDepartmentDOE

  14. Texas Tech University Energy Savings Program October 2013 Update

    E-Print Network [OSTI]

    Zhuang, Yu

    Engineering, and Human Sciences. c) Building Maintenance and Construction has retrofitted the Biology growth on energy consumption for the same time period from the previous year normalized to current energy costs.7% and a savings of $506,767 compared to FY12. Cogeneration steam, provided at no cost to the university by a local

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

    SciTech Connect (OSTI)

    Martinec, Emil J. [University of Chicago

    2013-06-27T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

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

    2011-03-11T23:59:59.000Z

    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.

  17. Performance and Energy Modeling for Live Migration of Virtual Machines

    E-Print Network [OSTI]

    Xu, Cheng-Zhong

    Performance and Energy Modeling for Live Migration of Virtual Machines Haikun Liu , Cheng-Zhong Xu , Hai Jin , Jiayu Gong , Xiaofei Liao School of Computer Science and Technology Huazhong University of Science and Technology Wuhan, 430074, China {hjin, xfliao}@hust.edu.cn Department of Electrical

  18. UCDavis University of California A California Energy

    E-Print Network [OSTI]

    California at Davis, University of

    % of USA, California new car buyers have a stable parking spot 25 feet from electricity each night 0% 10 Agency, Clean Energy Ministerial Electric Vehicle Initiative,(16 Energy Ministries), Clinton 40, Rocky-in Prius Battery kWh: Charge Time: Level 1 Level 2 Level 3 All Electric Range: Price: 3hrs/110v (15A) 1

  19. New holographic Chaplygin gas model of dark energy

    E-Print Network [OSTI]

    M. Malekjani; A. Khodam-Mohammadi

    2010-11-20T23:59:59.000Z

    In this work, we investigate the holographic dark energy model with new infrared cut-off (new HDE model) proposed by Granda and Oliveros. Using this new definition for infrared cut-off, we establish the correspondence between new HDE model and standard Chaplygin gas (SCG), generalized Chaplygin gas (GCG) and modified Chaplygin gas (MCG) scalar field models in non-flat universe. The potential and dynamics for these scalar field models, which describe the accelerated expansion of the universe are reconstructed. According to the evolutionary behavior of new HDE model, we derive the same form of dynamics and potential for different SCG, GCG and MCG models. We also calculate the squared sound speed of new HDE model as well as for SCG, GCG and MCG models and investigate the new HDE Chaplygin gas models from the viewpoint of linear perturbation theory. All results in non-flat universe are also discussed in the limiting case of flat universe, i.e. $k=0$.

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

    E-Print Network [OSTI]

    Haase, Markus

    Energy Policy June 2009 The university is committed to reducing its consumption of energy and promoting low carbon, energy saving and energy efficiency initiatives as part of its Sustainable Development programme. Tackling climate change is one of our highest priorities and this reflects UK policy. Our Energy

  1. The dynamics of universe for exponential decaying dark energy

    E-Print Network [OSTI]

    Bostan, Nilay

    2015-01-01T23:59:59.000Z

    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. HIGH ENERGY PHYSICS AT TUFTS UNIVERSITY FINAL REPORT

    SciTech Connect (OSTI)

    Goldstein, Gary R; Oliver, William P; Napier, Austin; Gallagher, Hugh R

    2012-07-18T23:59:59.000Z

    In this Final Report, we the researchers of the high energy physics group at Tufts University summarize our works and achievements in three frontier areas of elementary particle physics: (i) Neutrino physics at the Intensity Frontier, (ii) Collider physics at the Energy Frontier, and (iii) Theory investigations of spin structure and quark-gluon dynamics of nucleons using quantum chromodynamics. With our Neutrino research we completed, or else brought to a useful state, the following: Data-taking, physics simulations, physics analysis, physics reporting, explorations of matter effects, and detector component fabrication. We conducted our work as participants in the MINOS, NOvA, and LBNE neutrino oscillation experiments and in the MINERvA neutrino scattering experiment. With our Collider research we completed or else brought to a useful state: Data-taking, development of muon system geometry and tracking codes, software validation and maintenance, physics simulations, physics analysis, searches for new particles, and study of top-quark and B-quark systems. We conducted these activities as participants in the ATLAS proton-proton collider experiment at CERN and in the CDF proton-antiproton collider experiment at Fermilab. In our Theory research we developed QCD-based models, applications of spin phenomenology to fundamental systems, fitting of models to data, presenting and reporting of new concepts and formalisms. The overarching objectives of our research work have always been: 1) to test and clarify the predictions of the Standard Model of elementary particle physics, and 2) to discover new phenomena which may point the way to a more unified theoretical framework.

  3. Reconciliation of Zero-Point and Dark Energies in a Friedman Dust Universe with Einstein's Lambda

    E-Print Network [OSTI]

    James G. Gilson

    2010-07-20T23:59:59.000Z

    In this paper, it is shown that the cosmological model that was introduced in a sequence of three earlier papers under the title, A Dust Universe Solution to the Dark Energy Problem, can be used to resolve the problem of the great mismatch of numerical values between dark energy from cosmology and zero point energy from quantum theory. It is shown that, if the zero point energies for the cosmic microwave background and for all the rest of the universe that is not cosmic microwave background are introduced into this model as two entities, their separate values appear within this theory in the form of a numerical difference. It is this difference that gives the numerical value for the zero point value of Einstein's dark energy density. Consequently, although the two zero point energies may be large, their difference can give the known small dark energy value from cosmology for dark energy density. Issues relating to interpretation, calculation and measurement associated with this result and an interpretation of dark energy as a measure of polarisation of the vacuum are discussed. In the first appendix to this paper, problems associated with the standard model of cosmology are solved by redefining temperature in the dust universe model. In the second appendix of this paper, an examination of the dark matter problem in relation to a general relativistic generalisation of Newton's inverse square law is undertaken. In the third appendix to this paper, the formalism is used to derive a formula that gives a possible value for the mass of the universe in terms of Newton's gravitation constant, Einstein's Lambda and the velocity of light. All three appendices have their own detailed abstracts.

  4. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwide PermitInformationIsland: EnergyECYUniversity Jump to:

  5. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorp Jump to:Entech, LLC

  6. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorp JumpTown Jump to:

  7. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorp JumpTown Jump to:

  8. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorp JumpTown JumpDelaware

  9. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorp JumpTown

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorp JumpTown Cost(per

  11. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorp JumpTown

  12. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorp JumpTown--Neuchatel

  13. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorp

  14. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovationin UrbanCityCoated ConductorsColonial Industria deof

  15. West Virginia 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of EnergyThe U.S. Department ofFebruary 27, 2015 Closures at

  16. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri:Energy Information FeesInformation Section 401State

  17. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy Resources JumpAnaconda,AnzaArcade,theElectric PwrArizona State

  18. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f <MaintainedInformation 2EnergyCityGreenElectricityOpen

  19. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions Inc Jump to:Auriga Energy JumpTexas:Texas: Energyand OreNational

  20. Universal Display Corp | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmwelt Management AG UMaAGUnitil Energy Systems

  1. University of Alberta | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmwelt Management AG UMaAGUnitil Energy SystemsUniversidade

  2. University of California, Berkeley | Open Energy Information

    Open Energy Info (EERE)

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  3. University of Greenwich | Open Energy Information

    Open Energy Info (EERE)

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  4. 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

  5. University Coal Research | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO Overview OCHCOSystems Analysis Success|Sustainable

  6. DOE Virtual University | Department of Energy

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

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  7. Toronto University Innovation Foundation | Open Energy Information

    Open Energy Info (EERE)

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  8. Case Western University | Open Energy Information

    Open Energy Info (EERE)

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  9. Research in High Energy Physics at Duke University

    SciTech Connect (OSTI)

    Kotwal, Ashutosh V. [PI] [PI; Goshaw, Al [Co-PI] [Co-PI; Kruse, Mark [Co-PI] [Co-PI; Oh, Seog [Co-PI] [Co-PI; Scholberg, Kate [Co-PI] [Co-PI; Walter, Chris [Co-PI] [Co-PI

    2013-07-29T23:59:59.000Z

    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.

  10. Research in High Energy Physics at Duke University

    SciTech Connect (OSTI)

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

    2013-07-29T23:59:59.000Z

    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.

  11. Evaluating Energy Efficiency Policies with Energy-Economy Models

    SciTech Connect (OSTI)

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

    2010-08-01T23:59:59.000Z

    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.

  12. A dark energy model alternative to generalized Chaplygin gas

    E-Print Network [OSTI]

    Hoavo Hova; Huanxiong Yang

    2010-11-22T23:59:59.000Z

    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.

  13. A dark energy model alternative to generalized Chaplygin gas

    E-Print Network [OSTI]

    Hova, Hoavo

    2010-01-01T23:59:59.000Z

    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.

  14. Universal System Benefits Program | Department of Energy

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

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  15. University Park Data Dashboard | Department of Energy

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

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  16. University of Alaska Fairbanks | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3E AmbassadorsUS-EU-Japan-JapanHighlyFrom left to right: Shannan

  17. University of Kansas | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3E AmbassadorsUS-EU-Japan-JapanHighlyFrom left to right:First row:

  18. University of Massachusetts Lowell | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3E AmbassadorsUS-EU-Japan-JapanHighlyFrom left toBack row: Isaac

  19. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomassSustainableCSL Gas Recovery Biomass16Association Jump to: navigation,CSU Jump

  20. Ferris State University | Open Energy Information

    Open Energy Info (EERE)

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  1. Pennsylvania State University | Department of Energy

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

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  2. Colleges and Universities | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO OverviewAttachments4 Chairs Meeting - AprilEventsConcentrating SolarColleges and

  3. Universal Fluid Droplet Ejector - Energy Innovation Portal

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrinceton Plasma Physics Lab UniqueFeet) Year

  4. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form HistoryRistma AG Jump638324°,Schnell ZToolsSupply of DomesticSeoul

  5. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar Group BV Jump to: navigation, searchPocatello CommunityandPolicyCorp

  6. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,PillarPublicationType Jump to: navigation, search This is aParticipant

  7. Kansas 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii |Island, Florida:KaneEthanol LLC

  8. Oregon State University | Open Energy Information

    Open Energy Info (EERE)

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  9. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey Jump to: navigation, searchRobbins Corn &

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:NeppelsourceNormal, Illinois:Power PlantState

  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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorth America Drilling FluidsNorthAssociation

  12. Oregon 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia GreenThe communityOrchid Bioenergy

  13. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympiaAnalysis)Pearl

  14. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The Big Green BusNews andMay 30,What doesNavalTop left:

  15. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to:HoldingsTechint Spa JumpTVC JumpTeels

  16. The University of Wyoming | Open Energy Information

    Open Energy Info (EERE)

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  17. The George Washington University | Open Energy Information

    Open Energy Info (EERE)

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  18. Case Western University (Nordex) | Open Energy Information

    Open Energy Info (EERE)

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  19. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:Power LPInformation 8thCalwindCaribbeanCaruthers,CascadiaVestas)

  20. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png El CERCollier TechnologiesColoradoColorado

  1. University of Michigan 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmwelt Management AG UMaAGUnitilMichigan Hydrodynamics Jump to:

  2. University of Minnesota 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmwelt Management AG UMaAGUnitilMichigan Hydrodynamics

  3. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmwelt Management AG UMaAGUnitilMichigan Jump to:

  4. University of Oldenburg | Open Energy Information

    Open Energy Info (EERE)

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  5. University of Rhode Island | Open Energy Information

    Open Energy Info (EERE)

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  6. University of Tennessee | Open Energy Information

    Open Energy Info (EERE)

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  7. University of Waterloo UW | Open Energy Information

    Open Energy Info (EERE)

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  8. James Madison 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferApril 1, 1999 InspectionVolunteers from the FederalMISOFloridaJames A.Back

  9. Kansas 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferApril 1, 1999 InspectionVolunteers fromJoeJulie�9/09JuneK|U.S.SummaryFrom

  10. Northern Arizona 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferAprilOverview | DepartmentofEmergingKevin Craft What are thePictured: Torey

  11. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place: Beaver322°, -90.3165242° Show

  12. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place: Beaver322°, -90.3165242°GeoPower

  13. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place: Beaver322°,

  14. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°, -96.793108° Show

  15. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°, -96.793108°UrbanaIowa

  16. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°,

  17. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°,Kansas Place: Lawrence,

  18. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°,Kansas Place: Lawrence,

  19. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°,Kansas Place: Lawrence,Ann

  20. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°,Kansas Place: Lawrence,Ann

  1. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°,Kansas Place:

  2. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°,Kansas

  3. An Energy-Flow Model for Self-Powered Routers and its Application for Energy-Aware Routing

    E-Print Network [OSTI]

    Belding-Royer, Elizabeth M.

    and solar. Unfortunately, renewable energy sources are inherently intermit- tent; therefore networks relyingAn Energy-Flow Model for Self-Powered Routers and its Application for Energy-Aware Routing Veljko of California Santa Barbara ebelding@cs.ucsb.edu Mahesh K. Marina The University of Edinburgh, UK mmarina@inf.ed.ac.uk

  4. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global EnergyUtilityInformationWashington Gas EnergyInformation

  5. University Scholarship Listing Energy Production and Infrastructure Center (EPIC) Engineering Scholarship

    E-Print Network [OSTI]

    Xie,Jiang (Linda)

    A1 University Scholarship Listing Energy Production and Infrastructure Center (EPIC) Engineering within the energy production and infrastructure curriculum and/or affiliated with the Energy Production

  6. Electromagnetic energy dispersion in a 5D universe

    SciTech Connect (OSTI)

    Hartnett, John G. [School of Physics, University of Western Australia, 35 Stirling Hwy, Crawley 6009 WA Australia (Australia)

    2010-06-15T23:59:59.000Z

    Electromagnetism is analyzed in a 5D expanding universe. Compared to the usual 4D description of electrodynamics it can be viewed as adding effective charge and current densities to the universe that are static in time. These lead to effective polarization and magnetization of the vacuum, which is most significant at high redshift. Electromagnetic waves propagate but group and phase velocities are dispersive. This introduces a new energy scale to the cosmos. And as a result electromagnetic waves propagate with superluminal speeds but no energy is transmitted faster than the canonical speed of light c.

  7. 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

  8. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A PotentialJump to:Emminol JumpEnergy SystemSystems Network ESN

  9. Building Energy Modeling | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO OverviewAttachments EnergyFebruary 29 - MarchCodes Resources Building CodesofDepartment

  10. A universal electromagnetic energy conversion adapter based on a metamaterial absorber

    E-Print Network [OSTI]

    Xie, Yunsong; Wilson, Jeffrey D; Simons, Rainee N; Chen, Yunpeng; Xiao, John Q

    2013-01-01T23:59:59.000Z

    On the heels of metamaterial absorbers (MAs) which produce near perfect electromagnetic (EM) absorption and emission, we propose a universal electromagnetic energy conversion adapter (UEECA) based on MA. By choosing the appropriate energy converting sensors, the UEECA is able to achieve near 100% signal transfer ratio between EM energy and various forms of energy such as thermal, DC electric, or higher harmonic EM energy. The inherited subwavelength dimension and the EM field intensity enhancement can further empower UEECA in many critical applications such as energy harvesting, solar cell, and nonlinear optics. The principle of UEECA is understood with a transmission line model, which further provides a design strategy that can incorporate a variety of energy conversion devices. The concept is experimentally validated at a microwave frequency with a signal transfer ratio of 96% by choosing an RF diode as the energy converting sensor.

  11. Webcast of the Renewable Energy Competency Model | Department...

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

    Renewable Energy Competency Model Webcast of the Renewable Energy Competency Model Addthis Description The Department of Energy held a webcast titled ""Renewable Energy Competency...

  12. 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...

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

    E-Print Network [OSTI]

    Famiglietti, J. S; Wood, E. F

    1994-01-01T23:59:59.000Z

    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

  14. Energy Associated with Schwarzschild Black Hole in a Magnetic Universe

    E-Print Network [OSTI]

    S. S. Xulu

    2000-01-29T23:59:59.000Z

    In this paper we obtain the energy distribution associated with the Ernst space-time (geometry describing Schwarzschild black hole in Melvin's magnetic universe) in Einstein's prescription. The first term is the rest-mass energy of the Schwarzschild black hole, the second term is the classical value for the energy of the uniform magnetic field and the remaining terms in the expression are due to the general relativistic effect. The presence of the magnetic field is found to increase the energy of the system.

  15. Energy Modeling Software | Department of Energy

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

    and Specification for Parking Lots Lighten Energy Load The GE GeoSpring(tm) Electric Heat Pump Water Heater is readily integrated into new and existing home designs. Taking up the...

  16. Decaying vacuum energy and deflationary cosmology in open and closed universes

    SciTech Connect (OSTI)

    Lima, J.A. [Physics Department, Brown University, Providence, Rhode Island 02912 (United States)] [Physics Department, Brown University, Providence, Rhode Island 02912 (United States); [Departamento de Fisica, Universidade Federal do Rio Grande do Norte, 59072-970, C.P. 1641 Natal, Rio Grande do Norte (Brazil); Trodden, M. [Physics Department, Brown University, Providence, Rhode Island 02912 (United States)] [Physics Department, Brown University, Providence, Rhode Island 02912 (United States)

    1996-04-01T23:59:59.000Z

    We consider a nonsingular deflationary cosmological model with a decaying vacuum energy density in universes of arbitrary spatial curvature. Irrespective of the value of {ital k}, the models are characterized by an arbitrary time scale {ital H}{sup {minus}1}{sub {ital I}} which determines the initial temperature of the universe and the largest value of the vacuum energy density, the slow decay of which generates all the presently observed matter energy of the Universe. If {ital H}{sup {minus}1}{sub {ital I}} is of the order of the Planck time, the models begin with the Planck temperature and the present day value of the cosmological constant satisfies {Lambda}{sub {ital I}}/{Lambda}{sub 0}{approx_equal}10{sup 118} as theoretically suggested. It is also shown that all models allow a density parameter {Omega}{sub 0}{lt}2/3 and that the age of the Universe is large enough to agree with observations even with the high value of {ital H}{sub 0} suggested by recent measurements. {copyright} {ital 1996 The American Physical Society.}

  17. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorp Jump

  18. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy) Redirect page JumpCorp JumpTown Jump

  19. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall, Pennsylvania: Energy Resources Jump to:Muskingum

  20. University Clean Energy Alliance of Ohio (UCEAO) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmwelt Management AG UMaAGUnitil Energy SystemsUniversidade de

  1. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:

  2. DOE Virtual University | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAbout »DepartmentLaboratory |and LoanUnder SecretaryVendorDOE

  3. Colorado State University Technology Marketing Summaries - Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced. C o w l i tCollaboration March 16,ConnectPortalInnovation

  4. Building a Universal Nuclear Energy Density Functional

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteandscience, and technologyA ScienceDepartment

  5. 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

  6. 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

  7. 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.

    2010-01-01T23:59:59.000Z

    and Renewable Energy (Office of) Energy Information Administration Energy Modeling Forum Environmental Protection Agency Federal

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

    E-Print Network [OSTI]

    M. Sharif; Rabia Saleem

    2013-02-20T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Shen, Kai

    on resource- sharing multicores. We present a new operating system facility (power and energy containers--Measurements, Modeling and prediction Keywords Multicore, server system, power and energy management. 1. INTRODUCTION these challenges in a new operating system facility, called power and energy containers, which both tracks

  10. Comparing holographic dark energy models with statefinder

    E-Print Network [OSTI]

    Jing-Lei Cui; Jing-Fei Zhang

    2014-04-20T23:59:59.000Z

    We apply the statefinder diagnostic to the holographic dark energy models, including the original holographic dark energy (HDE) model, the new holographic dark energy model, the new agegraphic dark energy (NADE) model, and the Ricci dark energy model. In the low-redshift region the holographic dark energy models are degenerate with each other and with the $\\Lambda$CDM model in the $H(z)$ and $q(z)$ evolutions. In particular, the HDE model is highly degenerate with the $\\Lambda$CDM model, and in the HDE model the cases with different parameter values are also in strong degeneracy. Since the observational data are mainly within the low-redshift region, it is very important to break this low-redshift degeneracy in the $H(z)$ and $q(z)$ diagnostics by using some quantities with higher order derivatives of the scale factor. It is shown that the statefinder diagnostic $r(z)$ is very useful in breaking the low-redshift degeneracies. By employing the statefinder diagnostic the holographic dark energy models can be differentiated efficiently in the low-redshift region. The degeneracy between the holographic dark energy models and the $\\Lambda$CDM model can also be broken by this method. Especially for the HDE model, all the previous strong degeneracies appearing in the $H(z)$ and $q(z)$ diagnostics are broken effectively. But for the NADE model, the degeneracy between the cases with different parameter values cannot be broken, even though the statefinder diagnostic is used. A direct comparison of the holographic dark energy models in the $r$--$s$ plane is also made, in which the separations between the models (including the $\\Lambda$CDM model) can be directly measured in the light of the current values $\\{r_0,s_0\\}$ of the models.

  11. Sandia National Laboratories: Energy Storage Systems

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

    Reserve University On January 28, 2014, in Computational Modeling & Simulation, Energy, Energy Storage, Energy Storage Systems, Infrastructure Security, Materials Science,...

  12. Energy Modeling Community Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 FederalTexas Energy Incentive Programs,EnergyAugust 10, 2011 2:30Commercial

  13. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 RussianBy:WhetherNovember 13,National RenewableEnergyView the Building

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

    E-Print Network [OSTI]

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

    2011-01-01T23:59:59.000Z

    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...

  15. Irreversible Processes in a Universe modelled as a mixture of a Chaplygin gas and radiation

    E-Print Network [OSTI]

    G. M. Kremer

    2003-03-26T23:59:59.000Z

    The evolution of a Universe modelled as a mixture of a Chaplygin gas and radiation is determined by taking into account irreversible processes. This mixture could interpolate periods of a radiation dominated, a matter dominated and a cosmological constant dominated Universe. The results of a Universe modelled by this mixture are compared with the results of a mixture whose constituents are radiation and quintessence. Among other results it is shown that: (a) for both models there exists a period of a past deceleration with a present acceleration; (b) the slope of the acceleration of the Universe modelled as a mixture of a Chaplygin gas with radiation is more pronounced than that modelled as a mixture of quintessence and radiation; (c) the energy density of the Chaplygin gas tends to a constant value at earlier times than the energy density of quintessence does; (d) the energy density of radiation for both mixtures coincide and decay more rapidly than the energy densities of the Chaplygin gas and of quintessence.

  16. Energy Saving Guidelines for Portland State University Heating and Ventilation

    E-Print Network [OSTI]

    Caughman, John

    Energy Saving Guidelines for Portland State University Heating and Ventilation Conditioned spaces will be heated to a temperature range of 67-70 in the winter and cooled, where applicable, to a temperature range will not be allowed, unless approval from FPM has been granted for cases where spaces cannot otherwise be heated

  17. Causality and universality in low-energy quantum scattering

    E-Print Network [OSTI]

    H. -W. Hammer; Dean Lee

    2010-02-25T23:59:59.000Z

    We generalize Wigner's causality bounds and Bethe's integral formula for the effective range to arbitrary dimension and arbitrary angular momentum. Moreover, we discuss the impact of these constraints on the separation of low- and high-momentum scales and universality in low-energy quantum scattering.

  18. Energy Flow Models for the Steel Industry

    E-Print Network [OSTI]

    Hyman, B.; Andersen, J. P.

    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...

  19. Energy Flow Models for the Steel Industry 

    E-Print Network [OSTI]

    Hyman, B.; Andersen, J. P.

    1998-01-01T23:59:59.000Z

    each step is calibrated against Commerce Dept. data. Third, a detailed energy flow model is presented for coke ovens and blast furnaces, two very energy-intensive steps in our seven step model of steelmaking. This process-step model is calibrated...

  20. The Quintom Model of Dark Energy

    E-Print Network [OSTI]

    Bo Feng

    2006-02-07T23:59:59.000Z

    In this paper I give a brief review on the recently proposed new scenario of dark energy model dubbed $Quintom$. Quintom describes the dynamical dark energy models where the equation of state getting across the cosmological constant boundary during evolutions. I discuss some aspects on the quintom model buildings and the observational consequences.

  1. NUCLEAR ENERGY SYSTEM COST MODELING

    SciTech Connect (OSTI)

    Francesco Ganda; Brent Dixon

    2012-09-01T23:59:59.000Z

    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.

  2. 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 are new actors in the energy scenario: they gather a group of energy consumers and implement a demand

  3. Directory of Energy Information Administration models 1996

    SciTech Connect (OSTI)

    NONE

    1996-07-01T23:59:59.000Z

    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. Energy poverty: how to make modern energy access universal? | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazel Crest,EnergySerranopolis JumpESL Jump to:Costa Mesa,

  5. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTED JumpHills, New York:Springfield,

  6. University of Massachusetts Clean 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmwelt Management AG UMaAGUnitil

  7. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place: Beaver322°,78306°, -81.5373456°

  8. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place: Beaver322°,78306°,

  9. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place: Beaver322°,78306°,00344°,

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place:2.850084°, -96.793108° Show Map

  11. Directory of Energy Information Administration Models 1994

    SciTech Connect (OSTI)

    Not Available

    1994-07-01T23:59:59.000Z

    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.

  12. Hybrid Energy System Modeling in Modelica

    SciTech Connect (OSTI)

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

    2014-03-01T23:59:59.000Z

    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.

  13. University of Dayton Research 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmwelt Management AG UMaAGUnitil EnergyBerkeley JumpUniversity

  14. Dark Energy and Dark Matter Models

    E-Print Network [OSTI]

    Burra G. Sidharth

    2015-01-07T23:59:59.000Z

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

  15. Texas Tech University Energy Savings Program October 2013 Update Page 1 of 4 Texas Tech University Energy Savings Program

    E-Print Network [OSTI]

    Gelfond, Michael

    time period from the previous year normalized to current energy costs and campus square footage. During to FY12. Cogeneration steam, provided at no cost to the university by a local utility company its consumption of gasoline by 2,888 gallons or 1.2% compared to FY12. Table III: Historical

  16. 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.

    2010-01-01T23:59:59.000Z

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

  17. Energy Department Announces Regional Winners of University Clean Energy

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

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

  18. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 RussianBy:Whether you're a16-17, 201529, 2015 8:00AM EDT to September

  19. Energy Modeling Community Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisoryStandard |in STEMEnergyI.ofTrack 1should theJulyMayCommercial

  20. 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, ...

  1. 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 ...

  2. Energy modeling IV--planning for energy disruptions

    SciTech Connect (OSTI)

    Feingold, B.W.; Courtney, L. (eds.)

    1982-01-01T23:59:59.000Z

    On May 10-12, 1982, the Institute of Gas Technology held the symposium ''Energy Modeling IV: Planning for Energy Disruptions,'' the fourth in a series of energy modeling symposia. Although all four of the energy modeling symposia presented by IGT emphasized new modeling techniques, each had a specific theme. This symposium addressed the role of modeling in dealing with the problems of disruptions in the supply and price of energy. The symposium brought together modelers and planners from federal and state governmental agencies, utilities, management and consulting organizations, and academic institutions. The participants discussed the complex planning problems presented by both gradual and sudden fluctuations in energy supply or price, whether caused by political, physical, economic, or natural events, and the resultant threats to the stability of businesses and the security of nations. A separate abstract was pepared for each paper for the Energy Data Base (EDB); on paper is included in Energy Research Abstracts (ERA) and 22 for Energy Abstracts for Policy Analysis (EAPA).

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

    SciTech Connect (OSTI)

    Tait, Tim (ANL) [ANL

    2008-08-16T23:59:59.000Z

    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.

  4. Energy Band Model Based on Effective Mass

    E-Print Network [OSTI]

    Viktor Ariel

    2012-09-06T23:59:59.000Z

    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.

  5. A new alternative model to dark energy

    E-Print Network [OSTI]

    Gong, Y; Duan, C K

    2004-01-01T23:59:59.000Z

    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 $z_T=0.44$.

  6. A new alternative model to dark energy

    E-Print Network [OSTI]

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

    2004-05-08T23:59:59.000Z

    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 $z_T=0.44$.

  7. Is space expanding in the Friedmann universe models?

    E-Print Network [OSTI]

    Oyvind Gron; Oystein Elgaroy

    2006-09-18T23:59:59.000Z

    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.

  8. Energy Department Announces Regional Winners of University Clean 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrackEllen O'KaneSystems (EGS) Subsurface

  9. Nuclear Energy University Program Documents | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEWResponse to Time-Based Rates from the ConsumerNuclear Energy

  10. Modelling energy efficiency for computation

    E-Print Network [OSTI]

    Reams, Charles

    2012-11-13T23:59:59.000Z

    In the last decade, efficient use of energy has become a topic of global significance, touching almost every area of modern life, including computing. From mobile to desktop to server, energy efficiency concerns are now ubiquitous. However...

  11. 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

  12. Entropy-Corrected New Agegraphic Dark Energy Model in Horava-Lifshitz Gravity

    E-Print Network [OSTI]

    Piyali Bagchi Khatua; Shuvendu Chakraborty; Ujjal Debnath

    2011-05-08T23:59:59.000Z

    In this work, we have considered the entropy-corrected new agegraphic dark energy (ECNADE) model in Horava-Lifshitz gravity in FRW universe. We have discussed the correspondence between ECNADE and other dark energy models such as DBI-essence,Yang-Mills dark energy, Chameleon field, Non-linear electrodynamics field and hessence dark energy in the context of Horava-Lifshitz gravity and reconstructed the potentials and the dynamics of the scalar field theory which describe the ECNADE.

  13. UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE

    E-Print Network [OSTI]

    Diallo, Ibrahima

    2013-05-31T23:59:59.000Z

    UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE By © 2013 IBRAHIMA DIALLO Submitted to the graduate degree program in Economics and the Graduate Faculty of the University of Kansas... version of the following dissertation: UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE ________________________________ (Chairperson) William A. Barnett Date...

  14. 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

  15. Model Acquisition Language for Energy-Efficient Product Contracts...

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

    Technologies Energy-Efficient Products Model Acquisition Language for Energy-Efficient Product Contracts Model Acquisition Language for Energy-Efficient Product Contracts...

  16. ENERGY STAR Jeopardy History Facts Universities Products Other

    E-Print Network [OSTI]

    Brownstone, Rob

    , equipment must typically be ___ to ___ percent more efficient than a comparable conventional model, a business or organization must sign an administrative arrangement with Natural Resources Canada #12;Answer Resources Canada's (NRCan's) Office of Energy Efficiency (OEE) C) The ENERGY STAR symbol is on many products

  17. New infrared cut-off for the holographic scalar fields models of dark energy

    E-Print Network [OSTI]

    L. N. Granda; A. Oliveros

    2008-10-23T23:59:59.000Z

    Introducing a new infrared cut-off for the holographic dark-energy, we study the correspondence between the quintessence, tachyon, K-essence and dilaton energy density with this holographic dark energy density in the flat FRW universe. This correspondence allows to reconstruct the potentials and the dynamics for the scalar fields models, which describe accelerated expansion.

  18. A long-term investment planning model for mixed energy infrastructure integrated with renewable

    E-Print Network [OSTI]

    A long-term investment planning model for mixed energy infrastructure integrated with renewable energy Jinxu Ding and Arun Somani Department of Electrical and Computer Engineering Iowa State University Ames, IA 50011 Email: {jxding,arun}@iastate.edu Abstract--The current energy infrastructure heavily

  19. 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 unanswered. We discuss the general principles for defining curvature- based energy on discrete surfaces based

  20. 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

  1. Scripted Building Energy Modeling and Analysis (Presentation)

    SciTech Connect (OSTI)

    Macumber, D.

    2012-10-01T23:59:59.000Z

    Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.

  2. Towards increased policy relevance in energy modeling

    SciTech Connect (OSTI)

    Worrell, Ernst; Ramesohl, Stephan; Boyd, Gale

    2003-07-29T23:59:59.000Z

    Historically, most energy models were reasonably equipped to assess the impact of a subsidy or change in taxation, but are often insufficient to assess the impact of more innovative policy instruments. We evaluate the models used to assess future energy use, focusing on industrial energy use. We explore approaches to engineering-economic analysis that could help improve the realism and policy relevance of engineering-economic modeling frameworks. We also explore solutions to strengthen the policy usefulness of engineering-economic analysis that can be built from a framework of multi-disciplinary cooperation. We focus on the so-called ''engineering-economic'' (or ''bottom-up'') models, as they include the amount of detail that is commonly needed to model policy scenarios. We identify research priorities for the modeling framework, technology representation in models, policy evaluation and modeling of decision-making behavior.

  3. 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

  4. Texas Tech University Energy Savings Program February 2008 Update

    E-Print Network [OSTI]

    Gelfond, Michael

    Electricity 12.5 13.1 Up 4.8% $(69,298.56) Natural Gas 4.0 3.5 Down 12.5% $ 22,716.70 Steam 13.0 12.5 Down 3 of electricity, gasoline and natural gas. As a result of that order, Texas Tech University established agencies to establish an energy conservation program by setting a percentage goal for reducing its usage

  5. Texas Tech University Energy Savings Program February 2008 Update

    E-Print Network [OSTI]

    Zhuang, Yu

    Electricity 12.5 13.1 Up 4.80% $(69,298.56) Natural Gas 4.0 3.5 Down 12.5% $ 22,716.60 Steam 13.0 12.5 Down 3 of electricity, gasoline and natural gas. As a result of that order, Texas Tech University established agencies to establish an energy conservation program by setting a percentage goal for reducing its usage

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMaryEnergy Permalink Gallery

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMaryEnergy Permalink

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMaryEnergy

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMaryEnergyCapabilities Permalink

  10. 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.

  11. Northern Arizona University Wind Projects | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jumpsource History View NewNorthern Arizona University Wind

  12. Uppsala University Division for Electricity | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperativeCROSS-VALIDATION OFNyack, NewUniversity

  13. Sandia Energy - Reference Model Documents

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

    (2011). The Contribution of Environmental Siting and Permitting Requirements to the Cost of Energy for Marine and Hydrokinetic Devices. M. Previsic (2011). Economic Methodology...

  14. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy Resources JumpAnaconda, Montana: Energy Jump to: navigation,

  15. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of Energy Demand (MAED-2)

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

    E-Print Network [OSTI]

    Mariusz P. Dabrowski

    2014-12-30T23:59:59.000Z

    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.

  17. 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

  18. Energy Modeling for the Artisan Food Center

    SciTech Connect (OSTI)

    Goel, Supriya

    2013-05-01T23:59:59.000Z

    The Artisan Food Center is a 6912 sq.ft food processing plant located in Dayton, Washington. PNNL was contacted by Strecker Engineering to assist with the building’s energy analysis as a part of the project’s U.S. Green Building Council’s Leadership in Energy and Environmental Design (LEED) submittal requirements. The project is aiming for LEED Silver certification, one of the prerequisites to which is a whole building energy model to demonstrate compliance with American Society of Heating Refrigeration and Air Conditioning Engineers (ASHRAE) 90.1 2007 Appendix G, Performance Rating Method. The building incorporates a number of energy efficiency measures as part of its design and the energy analysis aimed at providing Strecker Engineering with the know-how of developing an energy model for the project as well as an estimate of energy savings of the proposed design over the baseline design, which could be used to document points in the LEED documentation. This report documents the ASHRAE 90.1 2007 baseline model design, the proposed model design, the modeling assumptions and procedures as well as the energy savings results in order to inform the Strecker Engineering team on a possible whole building energy model.

  19. Integrated energy and water conservation modeling

    SciTech Connect (OSTI)

    Monsabert, S. de; Liner, B.L. [George Mason Univ., Fairfax, VA (United States)

    1998-04-01T23:59:59.000Z

    Under the Energy Policy Act of 1992, the Federal Energy Management Program (FEMP) is required to provide federal facility managers with a clear determination of the impact of water conservation practices on energy consumption. This paper introduces the WATERGY model, which is a spreadsheet model to analyze total energy savings associated with water conservation efforts. The contribution of this effort is the development of a synergistic model based on engineering algorithms as opposed to lumped parameter estimates. The model explicitly details the relationships between direct and indirect water and energy savings. Irrigation, plumbing fixture, appliance, and boiler blowdown savings comprise the direct water component of the model. Reduction in leakage and unaccounted-for water in the distribution system are calculated as indirect water savings. Direct energy savings are calculated for hot water production. Indirect energy savings associated with distribution and collection, electric line losses, and unaccounted-for gas are determined by the model. Data sources, algorithms, and engineering assumptions used in the development of the model are detailed. The model capabilities are demonstrated for a hypothetical federal facility.

  20. Expand the Modeling Capabilities of DOE's EnergyPlus Building Energy Simulation Program

    SciTech Connect (OSTI)

    Don Shirey

    2008-02-28T23:59:59.000Z

    EnergyPlus{trademark} is a new generation computer software analysis tool that has been developed, tested, and commercialized to support DOE's Building Technologies (BT) Program in terms of whole-building, component, and systems R&D (http://www.energyplus.gov). It is also being used to support evaluation and decision making of zero energy building (ZEB) energy efficiency and supply technologies during new building design and existing building retrofits. Version 1.0 of EnergyPlus was released in April 2001, followed by semiannual updated versions over the ensuing seven-year period. This report summarizes work performed by the University of Central Florida's Florida Solar Energy Center (UCF/FSEC) to expand the modeling capabilities of EnergyPlus. The project tasks involved implementing, testing, and documenting the following new features or enhancement of existing features: (1) A model for packaged terminal heat pumps; (2) A model for gas engine-driven heat pumps with waste heat recovery; (3) Proper modeling of window screens; (4) Integrating and streamlining EnergyPlus air flow modeling capabilities; (5) Comfort-based controls for cooling and heating systems; and (6) An improved model for microturbine power generation with heat recovery. UCF/FSEC located existing mathematical models or generated new model for these features and incorporated them into EnergyPlus. The existing or new models were (re)written using Fortran 90/95 programming language and were integrated within EnergyPlus in accordance with the EnergyPlus Programming Standard and Module Developer's Guide. Each model/feature was thoroughly tested and identified errors were repaired. Upon completion of each model implementation, the existing EnergyPlus documentation (e.g., Input Output Reference and Engineering Document) was updated with information describing the new or enhanced feature. Reference data sets were generated for several of the features to aid program users in selecting proper model inputs. An example input data file, suitable for distribution to EnergyPlus users, was created for each new or improved feature to illustrate the input requirements for the model.

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

    E-Print Network [OSTI]

    Sergio del Campo; Ramon Herrera; Joel Saavedra

    2008-12-05T23:59:59.000Z

    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.

  2. DOD low energy model installation program

    SciTech Connect (OSTI)

    Fournier, D.F. Jr.

    1994-12-31T23:59:59.000Z

    The Model Low Energy Installation Program is a demonstration of an installation-wide, comprehensive energy conservation program that meets the Department of Defense (DOD) energy management goals of reducing energy usage and costs by at least 20%. It employs the required strategies for meeting these goals, quantifies the environmental compliance benefits resulting from energy conservation and serves as a prototype for DOD wide application. This project will develop both analysis tools and implementation procedures as well as demonstrate the effectiveness of a comprehensive, coordinated energy conservation program based on state-of-the-art technologies.

  3. Bayesian Nonparametric Models Peter Orbanz, Cambridge University

    E-Print Network [OSTI]

    Columbia University

    with more observations. Nonparametric methods have long been popular in classical (non-Bayesian) statistics measured by the number of dimensions used) adapts to the data. Classical adaptive problems of features used in nonlinear regression. Nonparametric models constitute an approach to model selection

  4. Directory of Energy Information Administration Models 1993

    SciTech Connect (OSTI)

    Not Available

    1993-07-06T23:59:59.000Z

    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.

  5. Directory of energy information administration models 1995

    SciTech Connect (OSTI)

    NONE

    1995-07-13T23:59:59.000Z

    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.

  6. Modeling of Uncertainty in Wind Energy Forecast

    E-Print Network [OSTI]

    regression and splines are combined to model the prediction error from Tunø Knob wind power plant. This data of the thesis is quantile regression and splines in the context of wind power modeling. Lyngby, February 2006Modeling of Uncertainty in Wind Energy Forecast Jan Kloppenborg Møller Kongens Lyngby 2006 IMM-2006

  7. Dark Energy: Observational Evidence and Theoretical Models

    E-Print Network [OSTI]

    Novosyadlyj, B; Shtanov, Yu; Zhuk, A

    2015-01-01T23:59:59.000Z

    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.

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear Press ReleasesInAppliedEnergyGeothermal Home

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMaryEnergy PermalinkClimate

  10. Pushback: A Hidden Markov Model Based Scheme for Energy Efficient Data Transmission in Sensor

    E-Print Network [OSTI]

    Koksal, Can Emre

    1 Pushback: A Hidden Markov Model Based Scheme for Energy Efficient Data Transmission in Sensor and Engineering Department of Electrical and Computer Engineering The Ohio State University The Ohio State University Columbus, Ohio 43210 Columbus, Ohio 43210 {liusha,prasun}@cse.ohio-state.edu {srivastr

  11. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMary

  12. Sandia Energy - Wind Generator 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757KelleyEffectsonSandia'sEventNotECWillie

  13. 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.

    2014-10-01T23:59:59.000Z

    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.

  14. New holographic dark energy model inspired by the DGP braneworld

    E-Print Network [OSTI]

    Sheykhi, A; Ghaffari, S

    2015-01-01T23:59:59.000Z

    The energy density of the holographic dark energy is based on the area law of entropy, and thus any modification of the area law leads to a modified holographic energy density. Inspired by the entropy expression associated with the apparent horizon of a Friedmann-Robertson-Walker (FRW) Universe in DGP braneworld, we propose a new model for the holographic dark energy in the framework of DGP brane cosmology. We investigate the cosmological consequences of this new model and calculate the equation of state parameter by choosing the Hubble radius, $L = H^{-1}$, as the system's IR cutoff. Our study show that, due to the effects of the extra dimension (bulk), the identification of IR-cutoff with Hubble radius, can reproduce the present acceleration of the Universe expansion. This is in contrast to the ordinary holographic dark energy in standard cosmology which leads to the zero equation of state parameter in the case of choosing the Hubble radius as system's IR cutoff in the absence of interaction between dark ma...

  15. "Soft bang" instead of "big bang": model of an inflationary universe without singularities and with eternal physical past time

    E-Print Network [OSTI]

    E. Rebhan

    2006-02-23T23:59:59.000Z

    The solution for an inflationary universe without singularities is derived from the Einstein-Lemaitre equations. The present state of the universe evolved from a steady state solution for a tiny, but classical micro-universe with large cosmological constant or large equivalent vacuum energy density and with an equal energy density of radiation and/or some kind of relativistic primordial matter in the infinite past. An instability of this state outside the quantum regime caused a "soft bang" by triggering an expansion that smoothly started with zero expansion rate, continuously increased, culminated in an exponentially inflating phase and ended through a phase transition, the further evolution being a Friedmann-Lemaitre evolution as in big bang models. As a necessary implication of the model the universe must be closed. All other parameters of the model are very similar to those of big bang models and comply with observational constraints.

  16. Constraints on alternative models to dark energy

    E-Print Network [OSTI]

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

    2003-01-01T23:59:59.000Z

    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.

  17. Constraints on alternative models to dark energy

    E-Print Network [OSTI]

    Yungui Gong; Chang-Kui Duan

    2005-07-13T23:59:59.000Z

    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.

  18. Conference on energy research at historically black universities

    SciTech Connect (OSTI)

    Not Available

    1980-01-01T23:59:59.000Z

    A conference was convened to present and discuss significant research and development in Historically Black Institutions (current and past); areas that show potential for inter-institutional collaboration and the sharing of facilities; existing capabilities to sustain funded research activities and future potential for expansion and enhancement; and appropriate arrangements for maximum interaction with industry and government agencies. Papers were presented at small group meetings in various energy research areas, and abstracts of the projects or programs are presented. The Solar Energy small group provided contributions in the areas of photovoltaics, biomass, solar thermal, and wind. Research reported on by the Fossil Fuel small group comprises efforts in the areas of fluidized bed combustion of coal, coal liquefaction, and oil shale pyrolysis. Five research programs reported on by the Conservation Research small group involve a summer workshop for high school students on energy conservation; use of industrial waste heat for a greenhouse; solar energy and energy conservation research and demonstration; energy efficiency and management; and a conservation program targeted at developing a model for educating low income families. The Environment Impact groups (2) presented contributions on physical and chemical impacts and biological monitors and impacts. The Policy Research group presented four papers on a careful analysis of the Equity issues; one on a model for examining the economic issue in looking at the interaction between energy technology and the state of the economy; and a second paper examined the institutional constraints on environmental oriented energy policy. Six additional abstracts by invited participants are presented. (MCW)

  19. Universality of cutoff for the Ising model

    E-Print Network [OSTI]

    Eyal Lubetzky; Allan Sly

    2014-07-28T23:59:59.000Z

    On any locally-finite geometry, the stochastic Ising model is known to be contractive when the inverse-temperature $\\beta$ is small enough, via classical results of Dobrushin and of Holley in the 1970's. By a general principle proposed by Peres, the dynamics is then expected to exhibit cutoff. However, so far cutoff for the Ising model has been confirmed mainly for lattices, heavily relying on amenability and log Sobolev inequalities. Without these, cutoff was unknown at any fixed $\\beta>0$, no matter how small, even in basic examples such as the Ising model on a binary tree or a random regular graph. We use the new framework of information percolation to show that, in any geometry, there is cutoff for the Ising model at high enough temperatures. Precisely, on any sequence of graphs with maximum degree $d$, the Ising model has cutoff provided that $\\beta<\\kappa/d$ for some absolute constant $\\kappa$ (a result which, up to the value of $\\kappa$, is best possible). Moreover, the cutoff location is established as the time at which the sum of squared magnetizations drops to 1, and the cutoff window is $O(1)$, just as when $\\beta=0$. Finally, the mixing time from almost every initial state is not more than a factor of $1+\\epsilon_\\beta$ faster then the worst one (with $\\epsilon_\\beta\\to0$ as $\\beta\\to 0$), whereas the uniform starting state is at least $2-\\epsilon_\\beta$ times faster.

  20. On the internal consistency of holographic dark energy models

    SciTech Connect (OSTI)

    Horvat, R, E-mail: horvat@lei3.irb.hr [Rudjer Boskovic Institute, POB 180, 10002 Zagreb (Croatia)] [Rudjer Boskovic Institute, POB 180, 10002 Zagreb (Croatia)

    2008-10-15T23:59:59.000Z

    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.

  1. Building Energy Modeling (BEM) Overview

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

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

  2. Sandia Energy - Reference Model Documents

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

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

  3. JEDI Models | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii | Wind Farm Jump to: navigation, search7JEDI

  4. Numerical 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jumpsource HistoryFractures below a Borehole Floor, A Jump

  5. 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...

  6. A Quantum Cosmology: No Dark Matter, Dark Energy nor Accelerating Universe

    E-Print Network [OSTI]

    Reginald T Cahill

    2007-09-18T23:59:59.000Z

    We show that modelling the universe as a pre-geometric system with emergent quantum modes, and then constructing the classical limit, we obtain a new account of space and gravity that goes beyond Newtonian gravity even in the non-relativistic limit. This account does not require dark matter to explain the spiral galaxy rotation curves, and explains as well the observed systematics of black hole masses in spherical star systems, the bore hole $g$ anomalies, gravitational lensing and so on. As well the dynamics has a Hubble expanding universe solution that gives an excellent parameter-free account of the supernovae and gamma-ray-burst red-shift data, without dark energy or dark matter. The Friedmann-Lema\\^{i}tre-Robertson-Walker (FLRW) metric is derived from this dynamics, but is shown not satisfy the General Relativity based Friedmann equations. It is noted that General Relativity dynamics only permits an expanding flat 3-space solution if the energy density in the pressure-less dust approximation is non-zero. As a consequence dark energy and dark matter are required in this cosmological model, and as well the prediction of a future exponential accelerating Hubble expansion. The FLRW $\\Lambda$CDM model data-based parameter values, $\\Omega_\\Lambda=0.73$, $\\Omega_{DM}=0.27$, are derived within the quantum cosmology model, but are shown to be merely artifacts of using the Friedmann equations in fitting the red-shift data.

  7. Model Ordinance for Renewable Energy Projects

    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 renewable energy projects. While it was developed by the Oregon...

  8. Decision Models for Bulk Energy Transportation Networks

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    emissions prices? How would CO2 regulations impact coal, gas, electricity, & SO2 markets? 3. Disruptions1 Decision Models for Bulk Energy Transportation Networks Electrical Engineering Professor Jim Mc: · integrated fuel, electricity networks · environmental impacts · electricity commodity markets · behavior

  9. Equipment Energy Models Using Spreadsheet Programs

    E-Print Network [OSTI]

    Gilbert, J. S.

    EQUIPMENT ENERGY MODELS USING SPREADSHEET PROGRAMS Joel S. Gilbert, Dames & Moore, Bethesda, Maryland Engineering calculations on PC's are undergoing a revolution with the advent of spreadsheet programs. The author has found that virtually all...

  10. Request for Proposals for John Hendricks Energy Research Fellowships managed by the University of Maryland Energy Research Center

    E-Print Network [OSTI]

    Rubloff, Gary W.

    -year grant to support the Hendricks Fellowship Program at the University of Maryland Energy Research Center thrust areas listed here: · advanced solar energy conversion, · fuels and power from biological processesRequest for Proposals for John Hendricks Energy Research Fellowships managed by the University

  11. Dark Energy: A Universe Out of Nicholas B. Suntzeff. Ph. D.

    E-Print Network [OSTI]

    Boas, Harold P.

    Dark Energy: A Universe Out of Control Nicholas B. Suntzeff. Ph. D. Mitchell into? To me ­ the weirdest #12;The Local Universe · 73% dark energy · 23% dark matter (about 3 H m-3 ourselves?? · And why is Dark Energy ~ Dark Matter #12;Dark Energy There is no picture... So I will wave my

  12. QCD parton model at collider energies

    SciTech Connect (OSTI)

    Ellis, R.K.

    1984-09-01T23:59:59.000Z

    Using the example of vector boson production, the application of the QCD improved parton model at collider energies is reviewed. The reliability of the extrapolation to SSC energies is assessed. Predictions at ..sqrt..S = 0.54 TeV are compared with data. 21 references.

  13. World Energy Projection System model documentation

    SciTech Connect (OSTI)

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

    1997-09-01T23:59:59.000Z

    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.

  14. Synthesised Constraint Models for Distributed Energy Management

    E-Print Network [OSTI]

    Reif, Wolfgang

    generation [1], demand-side manage- ment, or building control software. In a producer-based view, supplySynthesised Constraint Models for Distributed Energy Management Alexander Schiendorfer, Jan frequently encountered in energy management systems such as the coordination of power generators in a virtual

  15. DOE Taps Universities for Turbine Technology Science | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM |TRUJuly 29, 2013Savannah RiverDOETaps Universities for

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

    E-Print Network [OSTI]

    Dmitry K. Gridnev

    2015-03-03T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Kammen, Daniel M.

    that this scenario includes all the likely available energy from local renewable resources UNIVERSITY OF CALIFORNIA, BERKELEY ENERGY AND RESOURCES GROUP DANIEL M OF CALIFORNIA PROFESSOR IN THE ENERGY AND RESOURCES GROUP BERKELEY, CA 94720

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

    E-Print Network [OSTI]

    Tsang, Chin Fu

    2013-01-01T23:59:59.000Z

    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 ~~~~~~~

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

    E-Print Network [OSTI]

    Qin, Xiao

    Engineering Auburn University Auburn, AL USA 36849-5347 Email: xqin@auburn.edu Abstract--Energy cost becomes different servers have different energy consumption characters even with same CPU. In this paper, we present BFEPM, a best fit energy prediction model. It choose best model based on the power consumption benchmark

  20. Cosmological perturbations in warm-tachyon inflationary universe model with viscous pressure on the brane

    E-Print Network [OSTI]

    M. R. Setare; V. Kamali

    2013-02-22T23:59:59.000Z

    We study warm-viscous inflationary universe model on the brane, in a tachyon field theory. We obtain the general conditions which are required for this model to be realizable. In longitudinal gauge, the primoradial perturbation parameters are found in great details, using slow-roll and quasi-stable approximations. The general expressions of the tensor-to-scalar ratio, scalar spectral index and its running are found. We derive the characteristics of the inflationary universe model by using an effective exponential potential in two cases: 1- Dissipative parameter $\\Gamma$ and bulk viscous parameter $\\zeta$ are constant parameters. 2- Dissipative parameter as a function of tachyon field $\\phi$ and bulk viscous parameter as a function of radiation-matter mixture energy density $\\rho$. The parameters of the model are restricted by recent observational data from the seven-year Wilkinson microwave anisotropy probe (WMAP7).

  1. Cosmological perturbations in warm-tachyon inflationary universe model with viscous pressure on the brane

    E-Print Network [OSTI]

    Setare, M R

    2013-01-01T23:59:59.000Z

    We study warm-viscous inflationary universe model on the brane, in a tachyon field theory. We obtain the general conditions which are required for this model to be realizable. In longitudinal gauge, the primoradial perturbation parameters are found in great details, using slow-roll and quasi-stable approximations. The general expressions of the tensor-to-scalar ratio, scalar spectral index and its running are found. We derive the characteristics of the inflationary universe model by using an effective exponential potential in two cases: 1- Dissipative parameter $\\Gamma$ and bulk viscous parameter $\\zeta$ are constant parameters. 2- Dissipative parameter as a function of tachyon field $\\phi$ and bulk viscous parameter as a function of radiation-matter mixture energy density $\\rho$. The parameters of the model are restricted by recent observational data from the seven-year Wilkinson microwave anisotropy probe (WMAP7).

  2. 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.

    2005-01-01T23:59:59.000Z

    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...

  3. Coastal Structures Modeling Complex | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, clickInformationNew York: Energy ResourcesCoastal Structures Modeling

  4. Stringy Model of Cosmological Dark Energy

    E-Print Network [OSTI]

    Irina Ya. Aref'eva

    2007-10-16T23:59:59.000Z

    A string field theory(SFT) nonlocal model of the cosmological dark energy providing w<-1 is briefly surveyed. We summarize recent developments and open problems, as well as point out some theoretical issues related with others applications of the SFT nonlocal models in cosmology, in particular, in inflation and cosmological singularity.

  5. High Energy Physics at the University of Illinois

    SciTech Connect (OSTI)

    Liss, Tony M. [University of Illinois] [University of Illinois; Thaler, Jon J. [University of Illinois] [University of Illinois

    2013-07-26T23:59:59.000Z

    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

  6. Request for Proposals for the Hulka Energy Research Fellowships managed by the University of Maryland Energy Research Center

    E-Print Network [OSTI]

    Rubloff, Gary W.

    energy, · ocean thermal or wave energy or geothermal energy conversion. The proposed research mustRequest for Proposals for the Hulka Energy Research Fellowships managed by the University of Maryland Energy Research Center Announcement Date: November 15, 2011 Proposal Due Date: December 12, 2011

  7. Sandia Energy - Severe Accident 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocumentsInstitute of AdvancedSecuritySensors &Severe

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution Grid Integration Permalink Gallery Mesa delMission

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution Grid Integration Permalink Gallery Mesa delMission

  10. Improved diagnostic model for estimating wind energy

    SciTech Connect (OSTI)

    Endlich, R.M.; Lee, J.D.

    1983-03-01T23:59:59.000Z

    Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

  11. Uncalibrated Building Energy Simulation Modeling Results

    E-Print Network [OSTI]

    Ahmad, M.; Culp, C.H.

    for the Level 1 and Level 2 models with measured data for WERC (2004 post-commissioning data). ESL-PA-06-10-01 VOLUME 12, NUMBER 4, OCTOBER 2006 1151 Figure 6. Comparison of simulated daily total energy consumption for the Level 1 and Level 2 models with 1999...,450 m2]), the simulation using 1999 data underestimates the energy use in all categories except the whole building electrical usage. Table 3 identifies the magnitude of these discrepancies for a full year’s consumption. The Level 1 model actually per...

  12. Category:Conceptual 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here. Category:Conceptual Model Add.png Add a new Conceptual Model

  13. Acceleration of the Universe in f(R) Gravity Models

    E-Print Network [OSTI]

    Ankan Mukherjee; Narayan Banerjee

    2014-05-27T23:59:59.000Z

    A general formalism for the investigation of the late time dynamics of the universe for any analytic f(R) gravity model, along with a cold dark matter, has been discussed in the present work. The formalism is then elucidated with two examples. The values of the parameters of the models are chosen in such a way that they are consistent with the basic observational requirement.

  14. MARQUETTE UNIVERSITY Auditory Model-based Bionic Wavelet Transform

    E-Print Network [OSTI]

    Johnson, Michael T.

    MARQUETTE UNIVERSITY Auditory Model-based Bionic Wavelet Transform For Speech Enhancement A THESIS. Therefore applying this method to speech enhancement may lead to a promising future in this field. Spectral subtraction methods have been widely used in speech enhancement, but all are notorious for unexpected music

  15. 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.

    2009-09-30T23:59:59.000Z

    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.

  16. Damage to Model DNA Fragments from Very Low-Energy (<1 eV) Electrons

    E-Print Network [OSTI]

    Simons, Jack

    Damage to Model DNA Fragments from Very Low-Energy ( of Chemistry, UniVersity of Gdansk ul. Sobieskiego 18, 80-952 Gdansk, Poland Received January 8, 2004; E-mail: simons@chemistry.utah.edu Abstract: Although electrons having enough energy to ionize or electronically

  17. An energy-diagnostics intercomparison of coupled ice-ocean Arctic models

    E-Print Network [OSTI]

    Zhang, Jinlun

    An energy-diagnostics intercomparison of coupled ice-ocean Arctic models Petteri Uotila a,*, David. Understanding the Arctic Ocean energy balance is important because it can strengthen our understanding for Atmosphere-Ocean Science, Courant Institute of Mathematical Sciences, New York University, NYU, 200 Water

  18. Modeling of Energy Production Decisions: An Alaska Oil Case Study

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    RR-08-26 Modeling of Energy Production Decisions: An Alaskarapid or gradual energy production in the future? • Doesnet social benefit from energy production and achieving a

  19. Dark matter, dark energy and the time evolution of masses in the Universe

    E-Print Network [OSTI]

    Joan Sola

    2014-09-03T23:59:59.000Z

    The traditional "explanation" for the observed acceleration of the universe is the existence of a positive cosmological constant. However, this can hardly be a truly convincing explanation, as an expanding universe is not expected to have a static vacuum energy density. So, it must be an approximation. This reminds us of the so-called fundamental "constants" of nature. Recent and past measurements of the fine structure constant and of the proton-electron mass ratio suggest that basic quantities of the standard model, such as the QCD scale parameter $\\Lambda_{QCD}$, might not be conserved in the course of the cosmological evolution. The masses of the nucleons and of the atomic nuclei would be time-evolving. This can be consistent with General Relativity provided the vacuum energy itself is a dynamical quantity. Another framework realizing this possibility is QHD (Quantum Haplodynamics), a fundamental theory of bound states. If one assumes that its running couplings unify at the Planck scale and that such scale changes slowly with cosmic time, the masses of the nucleons and of the DM particles, including the cosmological term, will evolve with time. This could explain the dark energy of the universe.

  20. Category:Wind for Schools University Curricula | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey as explorationpage? For

  1. 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 energy, as well as any other renewable energy sources and related technology in alignment The Faculty of Applied Sciences at Simon Fraser University, British Columbia, Canada, invites applications

  2. 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.

  3. Building Energy Model Development for Retrofit Homes

    SciTech Connect (OSTI)

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

    2012-09-30T23:59:59.000Z

    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.

  4. Warm-Intermediate inflationary universe model in braneworld cosmologies

    E-Print Network [OSTI]

    Herrera, Ramon

    2011-01-01T23:59:59.000Z

    Warm-intermediate inflationary universe models in the context of braneworld cosmologies, are studied. This study is done in the weak and strong dissipative regimes. We find that, the scalar potentials and dissipation coefficients in terms of the scalar field, evolves as type-power-law and powers of logarithms, respectively. General conditions required for these models to be realizable are derived and discussed. We also study the scalar and tensor perturbations for each regime. We use recent astronomical observations to constraint the parameters appearing in the braneworld models.

  5. Warm-Intermediate inflationary universe model in braneworld cosmologies

    E-Print Network [OSTI]

    Ramon Herrera; Eugenio San Martin

    2011-08-05T23:59:59.000Z

    Warm-intermediate inflationary universe models in the context of braneworld cosmologies, are studied. This study is done in the weak and strong dissipative regimes. We find that, the scalar potentials and dissipation coefficients in terms of the scalar field, evolves as type-power-law and powers of logarithms, respectively. General conditions required for these models to be realizable are derived and discussed. We also study the scalar and tensor perturbations for each regime. We use recent astronomical observations to constraint the parameters appearing in the braneworld models.

  6. Energy policy modeling: United States and Canadian experiences. Volume I. Specialized energy policy models

    SciTech Connect (OSTI)

    Ziemba, W.T.; Schwartz, S.L.; Koenigsberg, E. (eds.)

    1980-01-01T23:59:59.000Z

    The Canadian Energy Policy Modeling Conference held in North Vancouver, May 18-20, 1978, was organized to assess the state of the art in energy modeling in North America. A major aim of the conference was to determine the extent to which energy modeling had and could make a contribution to the energy-policy decision-making process. Two volumes contain revised and updated versions of the major papers presented at the conference plus edited transcripts of the panel discussions and several additional papers aimed at particular topics deemed worthy of further study. This volume, Vol. I, is concerned with specialized models and contains the following sections: (a) Energy Demand Modeling (7 papers); (b) Energy Supply Modeling (5 papers); (c) Coal and Transportation Modeling (6 papers); and (d) Problems and Interactions of Energy, Environment, and Conservation (4 papers). A separate abstract was prepared for each of the 22 papers for Energy Abstracts for Policy Analysis (EAPA); 5 abstracts will appear in Energy Research Abstracts (ERA).

  7. Avoiding Boltzmann Brain domination in holographic dark energy models

    E-Print Network [OSTI]

    R. Horvat

    2015-02-23T23:59:59.000Z

    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.

  8. Avoiding Boltzmann Brain domination in holographic dark energy models

    E-Print Network [OSTI]

    Horvat, R

    2015-01-01T23:59:59.000Z

    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.

  9. Reconstruction of $f(G)$ Gravity with New Agegraphic Dark Energy Model

    E-Print Network [OSTI]

    Abdul Jawad; Surajit Chattopadhyay; Antonio Pasqua

    2014-04-28T23:59:59.000Z

    In this work, we consider the reconstruction scenario of new agegraphic dark energy (NADE) model and $f(G)$ theory of gravity with $G$ representing the Gauss-Bonnet invariant in the flat FRW spacetime. In this context, we assume a solution of the scale factor in power-law form and study the correspondence scenario. A new agegraphic $f(G)$ model is constructed and discussed graphically for the evolution of the universe. Using this model, we investigate the different eras of the expanding universe and stability with the help of the equation of state (EoS) parameter $\\omega_{eff}$ and squared speed of sound $v_s^2$, respectively. It is mentioned here that the reconstructed model represents the quintessence era of the accelerated expansion of the universe with instability. Moreover, the statefinder trajectories are studied and we find out that the model is not capable of reaching the $\\Lambda$CDM phase of the universe.

  10. Characterizing emerging industrial technologies in energy models

    SciTech Connect (OSTI)

    Laitner, John A. (Skip); Worrell, Ernst; Galitsky, Christina; Hanson, Donald A.

    2003-07-29T23:59:59.000Z

    Conservation supply curves are a common tool in economic analysis. As such, they provide an important opportunity to include a non-linear representation of technology and technological change in economy-wide models. Because supply curves are closely related to production isoquants, we explore the possibility of using bottom-up technology assessments to inform top-down representations of energy models of the U.S. economy. Based on a recent report by LBNL and ACEEE on emerging industrial technologies within the United States, we have constructed a supply curve for 54 such technologies for the year 2015. Each of the selected technologies has been assessed with respect to energy efficiency characteristics, likely energy savings by 2015, economics, and environmental performance, as well as needs for further development or implementation of the technology. The technical potential for primary energy savings of the 54 identified technologies is equal to 3.54 Quads, or 8.4 percent of the assume d2015 industrial energy consumption. Based on the supply curve, assuming a discount rate of 15 percent and 2015 prices as forecasted in the Annual Energy Outlook2002, we estimate the economic potential to be 2.66 Quads - or 6.3 percent of the assumed forecast consumption for 2015. In addition, we further estimate how much these industrial technologies might contribute to standard reference case projections, and how much additional energy savings might be available assuming a different mix of policies and incentives. Finally, we review the prospects for integrating the findings of this and similar studies into standard economic models. Although further work needs to be completed to provide the necessary link between supply curves and production isoquants, it is hoped that this link will be a useful starting point for discussion with developers of energy-economic models.

  11. Uncalibrated Building Energy Simulation Modeling Results 

    E-Print Network [OSTI]

    Ahmad, M.; Culp, C.H.

    2006-01-01T23:59:59.000Z

    VOLUME 12, NUMBER 4 HVAC&R RESEARCH OCTOBER 2006 1141 Uncalibrated Building Energy Simulation Modeling Results Mushtaq Ahmad Charles H. Culp, PhD, PE Associate Member ASHRAE Fellow ASHRAE Received June 23, 2005; accepted April 17, 2006... the uncalibrated simulations were completed. The dis- crepancies between the simulated and measured total yearly building energy use varied over ±30% with one outlier. The results show that discrepancies ranged over ±90% between the sim- ulations and the measured...

  12. Energy Efficient Radio Resource

    E-Print Network [OSTI]

    Yanikomeroglu, Halim

    Energy Efficient Radio Resource Management in a Coordinated Multi-Cell Distributed Antenna System Omer HALILOGLU Introduction System Model Performance Evaluation Conclusion References Energy Efficient Hacettepe University 5 September 2014 Omer HALILOGLU (Hacettepe University) Energy Efficient Radio Resource

  13. Energy Secretary Moniz's Remarks at Hampton University in Hampton...

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

    Roads, Va. to highlight President Obama's State of the Union address at Hampton University, one of the nation's top historically black universities and a leader in science,...

  14. Category: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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here. Category:Conceptual ModelLists forMercury Vapor page? ForTechniques

  15. Category:Numerical 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here. Category:Conceptual ModelLists forMercury VaporTemplatespage? For

  16. Property:Buildings/Models | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelNameModelYear

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

    E-Print Network [OSTI]

    Doughty, Christine

    2012-01-01T23:59:59.000Z

    experimental Thermal energy storage in confined aquifers. ©lAUBURN UNIVERSITY THERMAL ENERGY STORAGE PROGRM1 Christineseries of aquifer thermal energy storage field experiments.

  18. Dynamics of a magnetized Bianchi I universe with vacuum energy

    E-Print Network [OSTI]

    Emma J. King; Peter Coles

    2007-03-27T23:59:59.000Z

    We make use of a flat, axisymmetric Bianchi I metric to investigate the effects of a magnetic field upon the dynamics of the universe for the case in which the accompanying fluid is a cosmological constant and derive two exact solutions to the dynamical equations for this situation. We examine the behaviour of the scale factor perpendicular and parallel to the field lines, A(t) and W(t) respectively, and find the expected behaviour. The field has the strongest effect when A(t) is small, decelerating collapse perpendicular to the field lines, due to magnetic pressure, and accelerating collapse along the field lines, due to magnetic tension, while the vacuum energy dominates at late time, driving accelerated expansion.

  19. Gauss Bonnet dark energy Chaplygin Gas Model

    E-Print Network [OSTI]

    Elahe Karimkhani; Asma Alaii; Abdolhossein Khodam-Mohammadi

    2015-02-27T23:59:59.000Z

    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.

  20. Gauss Bonnet dark energy Chaplygin Gas Model

    E-Print Network [OSTI]

    Karimkhani, Elahe; Khodam-Mohammadi, Abdolhossein

    2015-01-01T23:59:59.000Z

    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.