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


1

Weather  

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

and the variations in atmospheric conditions that produce weather. The Weather Machine, LANL's meteorological monitoring program, supports Laboratory operations and...

2

Weather data analysis based on typical weather sequence analysis. Application: energy building simulation  

E-Print Network [OSTI]

In building studies dealing about energy efficiency and comfort, simulation software need relevant weather files with optimal time steps. Few tools generate extreme and mean values of simultaneous hourly data including correlation between the climatic parameters. This paper presents the C++ Runeole software based on typical weather sequences analysis. It runs an analysis process of a stochastic continuous multivariable phenomenon with frequencies properties applied to a climatic database. The database analysis associates basic statistics, PCA (Principal Component Analysis) and automatic classifications. Different ways of applying these methods will be presented. All the results are stored in the Runeole internal database that allows an easy selection of weather sequences. The extreme sequences are used for system and building sizing and the mean sequences are used for the determination of the annual cooling loads as proposed by Audrier-Cros (Audrier-Cros, 1984). This weather analysis was tested with the datab...

David, Mathieu; Garde, Francois; Boyer, Harry

2014-01-01T23:59:59.000Z

3

Bases, Assumptions, and Results of the Flowsheet Calculations for the Decision Phase Salt Disposition Alternatives  

SciTech Connect (OSTI)

The High Level Waste (HLW) Salt Disposition Systems Engineering Team was formed on March 13, 1998, and chartered to identify options, evaluate alternatives, and recommend a selected alternative(s) for processing HLW salt to a permitted wasteform. This requirement arises because the existing In-Tank Precipitation process at the Savannah River Site, as currently configured, cannot simultaneously meet the HLW production and Authorization Basis safety requirements. This engineering study was performed in four phases. This document provides the technical bases, assumptions, and results of this engineering study.

Dimenna, R.A.; Jacobs, R.A.; Taylor, G.A.; Durate, O.E.; Paul, P.K.; Elder, H.H.; Pike, J.A.; Fowler, J.R.; Rutland, P.L.; Gregory, M.V.; Smith III, F.G.; Hang, T.; Subosits, S.G.; Campbell, S.G.

2001-03-26T23:59:59.000Z

4

Weather-based forecasts of California crop yields  

SciTech Connect (OSTI)

Crop yield forecasts provide useful information to a range of users. Yields for several crops in California are currently forecast based on field surveys and farmer interviews, while for many crops official forecasts do not exist. As broad-scale crop yields are largely dependent on weather, measurements from existing meteorological stations have the potential to provide a reliable, timely, and cost-effective means to anticipate crop yields. We developed weather-based models of state-wide yields for 12 major California crops (wine grapes, lettuce, almonds, strawberries, table grapes, hay, oranges, cotton, tomatoes, walnuts, avocados, and pistachios), and tested their accuracy using cross-validation over the 1980-2003 period. Many crops were forecast with high accuracy, as judged by the percent of yield variation explained by the forecast, the number of yields with correctly predicted direction of yield change, or the number of yields with correctly predicted extreme yields. The most successfully modeled crop was almonds, with 81% of yield variance captured by the forecast. Predictions for most crops relied on weather measurements well before harvest time, allowing for lead times that were longer than existing procedures in many cases.

Lobell, D B; Cahill, K N; Field, C B

2005-09-26T23:59:59.000Z

5

The scope of the Weatherization Assistance Program: The weatherized population and the resource base  

SciTech Connect (OSTI)

This study is one of five parts of the US Department of Energy`s national evaluation of its Weatherization Assistance Program (WAP). It has three major goals: (1) to enumerate the size and sources of investment in low-income weatherization; (2) to provide a count of the number of low-income units weatherized by all weatherization programs and characterized the type and tenure of those homes; and (3) to document the extent to which the DOE/WAP funding has been expanded though use of external resources.

Power, M.; Eisenberg, J.F.; Michels, E. [Economic Opportunity Research Inst., Washington, DC (United States); Witherspoon, M.J. [National Association for State Community Service Programs, Washington, DC (United States); Brown, M.A. [Oak Ridge National Lab., TN (United States)

1992-05-01T23:59:59.000Z

6

The scope of the Weatherization Assistance Program: The weatherized population and the resource base  

SciTech Connect (OSTI)

This study is one of five parts of the US Department of Energy's national evaluation of its Weatherization Assistance Program (WAP). It has three major goals: (1) to enumerate the size and sources of investment in low-income weatherization; (2) to provide a count of the number of low-income units weatherized by all weatherization programs and characterized the type and tenure of those homes; and (3) to document the extent to which the DOE/WAP funding has been expanded though use of external resources.

Power, M.; Eisenberg, J.F.; Michels, E. (Economic Opportunity Research Inst., Washington, DC (United States)); Witherspoon, M.J. (National Association for State Community Service Programs, Washington, DC (United States)); Brown, M.A. (Oak Ridge National Lab., TN (United States))

1992-05-01T23:59:59.000Z

7

Weather forecast-based optimization of integrated energy systems.  

SciTech Connect (OSTI)

In this work, we establish an on-line optimization framework to exploit detailed weather forecast information in the operation of integrated energy systems, such as buildings and photovoltaic/wind hybrid systems. We first discuss how the use of traditional reactive operation strategies that neglect the future evolution of the ambient conditions can translate in high operating costs. To overcome this problem, we propose the use of a supervisory dynamic optimization strategy that can lead to more proactive and cost-effective operations. The strategy is based on the solution of a receding-horizon stochastic dynamic optimization problem. This permits the direct incorporation of economic objectives, statistical forecast information, and operational constraints. To obtain the weather forecast information, we employ a state-of-the-art forecasting model initialized with real meteorological data. The statistical ambient information is obtained from a set of realizations generated by the weather model executed in an operational setting. We present proof-of-concept simulation studies to demonstrate that the proposed framework can lead to significant savings (more than 18% reduction) in operating costs.

Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

2009-03-01T23:59:59.000Z

8

AEO Assumptions  

Gasoline and Diesel Fuel Update (EIA)

for the for the Annual Energy Outlook 1997 December 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Energy Information Administration/Assumptions for the Annual Energy Outlook 1997 Contents Page Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Commercial Demand Module . . . . . . . . . . . . . . . . . .

9

Satellite-based observations of surface turbulent stress during severe weather  

E-Print Network [OSTI]

Satellite-based observations of surface turbulent stress during severe weather Mark A. Bourassa The environment of severe marine weather is harsh: in situ and satellite observations of surface turbulent stresses are extremely difficult to acquire under such conditions. Even for fair weather conditions

10

Moldy Assumptions  

E-Print Network [OSTI]

sustainability movements. 2 Despite these noble intentions, using human responsibility as a base for architecture

Heully, Gustave Paul

2012-01-01T23:59:59.000Z

11

Community-Based Social Marketing for Weatherization Programs  

Broader source: Energy.gov [DOE]

A webinar by National Renewable Energy Laboratory (NREL) Senior Project Manager Amy Hollander on how to create a weatherization program that fosters sustainable behaviors in a community for saving energy.

12

Weathering Effects on Mechanical Properties of Recycled HDPE Based Plastic Lumber  

E-Print Network [OSTI]

Weathering Effects on Mechanical Properties of Recycled HDPE Based Plastic Lumber Jennifer K. Lynch recycled plastic lumber (RPL) decking was exposed to the environment for eleven years. The weathering in the construction of the deck were a commingled recycled plastic material referred to as curbside tailings, NJCT

13

TEXTURE-BASED SEGMENTATION OF SATELLITE WEATHER IMAGERY V. Lakshmanan1,2  

E-Print Network [OSTI]

TEXTURE-BASED SEGMENTATION OF SATELLITE WEATHER IMAGERY V. Lakshmanan1,2 , V. DeBrunner2 , R. Rabin Unsupervised segmentation of weather images into features that correspond to physical storms is a fundamental and difficult problem. Treating an infrared satellite image as a Markov random field, the Kolmogorov

Lakshmanan, Valliappa

14

Simulation of time series of storms and weather windows based on wind conditions data  

Science Journals Connector (OSTI)

Stated is an approach to the simulation of time series of storms and weather ... on their frequency. Using the results of wind reanalysis for the Norwegian, Barents, and ... values. Based on the revealed regulari...

S. I. Mastryukov

2013-04-01T23:59:59.000Z

15

Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation  

E-Print Network [OSTI]

Wind energy plays an increasing role in the supply of energy world-wide. The energy output of a wind farm is highly dependent on the weather condition present at the wind farm. If the output can be predicted more accurately, energy suppliers can coordinate the collaborative production of different energy sources more efficiently to avoid costly overproductions. With this paper, we take a computer science perspective on energy prediction based on weather data and analyze the important parameters as well as their correlation on the energy output. To deal with the interaction of the different parameters we use symbolic regression based on the genetic programming tool DataModeler. Our studies are carried out on publicly available weather and energy data for a wind farm in Australia. We reveal the correlation of the different variables for the energy output. The model obtained for energy prediction gives a very reliable prediction of the energy output for newly given weather data.

Vladislavleva, Katya; Neumann, Frank; Wagner, Markus

2011-01-01T23:59:59.000Z

16

Metaevaluation of National Weatherization Assistance Program Based on State Studies, 1993-2002  

SciTech Connect (OSTI)

The National Weatherization Assistance Program, sponsored by the U.S. Department of Energy (DOE) and implemented by state and local agencies throughout the United States, weatherizes homes for low-income residents in order to increase their energy efficiency and lower utility bills. Research staff members at Oak Ridge National Laboratory (ORNL) have performed two previous metaevaluations of this program (Berry, 1997; Schweitzer and Berry, 1999). Both of these earlier metaevaluations involved synthesizing the results from individual studies of state weatherization efforts completed during a several year period. This report is the third in a series of metaevaluations of state-level studies. It is built on the foundation developed by the previous two metaevaluations. The purpose of this report, like that of the two earlier ORNL metaevaluations, is to provide a current estimate of the average national energy savings per home weatherized for the Weatherization Assistance Program based on the relevant state-level studies. All three of the metaevaluations, including this one, were designed to be updates to the findings of a national evaluation of the Weatherization Assistance Program, which examined a representative national sample of several thousand structures weatherized in 1989 (Brown, Berry, Balzer, and Faby 1993). Although the first and second metaevaluations used separate sets of state-level studies, completed during different time periods, there was little difference in their findings about the typical national energy savings per weatherized home for homes that heat with natural gas. Our initial analysis efforts for this report involved repeating the same procedures that had been used in the previous two reports. In particular, we collected and examined only the state-level evaluations that had become available between September of 1998 and August of 2002. Once again, we found little difference in the average energy savings estimates per weatherized home that were produced with this third set of the most recently available state-level evaluations.

Berry, L

2003-04-02T23:59:59.000Z

17

Weather type dependent quality assessment of a satellite-based rainfall detection scheme for the mid-latitudes  

Science Journals Connector (OSTI)

The sensitivity of a recently published satellite-based rainfall detection scheme with differing frontal weather regimes is investigated for 676 precipitation scenes ... detected by the radar network of the Germa...

Boris Thies; Andreas Turek; Thomas Nauss…

2010-08-01T23:59:59.000Z

18

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect (OSTI)

Accurate short-term forecasts of wind resources are required for efficient wind farm operation and ultimately for the integration of large amounts of wind-generated power into electrical grids. Siemens Energy Inc. and Lawrence Livermore National Laboratory, with the University of Colorado at Boulder, are collaborating on the design of an operational forecasting system for large wind farms. The basis of the system is the numerical weather prediction tool, the Weather Research and Forecasting (WRF) model; large-eddy simulations and data assimilation approaches are used to refine and tailor the forecasting system. Representation of the atmospheric boundary layer is modified, based on high-resolution large-eddy simulations of the atmospheric boundary. These large-eddy simulations incorporate wake effects from upwind turbines on downwind turbines as well as represent complex atmospheric variability due to complex terrain and surface features as well as atmospheric stability. Real-time hub-height wind speed and other meteorological data streams from existing wind farms are incorporated into the modeling system to enable uncertainty quantification through probabilistic forecasts. A companion investigation has identified optimal boundary-layer physics options for low-level forecasts in complex terrain, toward employing decadal WRF simulations to anticipate large-scale changes in wind resource availability due to global climate change.

Lundquist, J; Glascoe, L; Obrecht, J

2010-03-18T23:59:59.000Z

19

Satellite-based overshooting top detection methods and an analysis of correlated weather conditions  

Science Journals Connector (OSTI)

The paper addresses two topics: the possibilities of satellite-based automatic detection of overshooting convective cloud tops and the connection between the overshootings and the occurrence of severe weather on the ground. Because the use of visible images is restricted to daytime, four detection methods based on the Meteosat Second Generation SEVIRI 10.8 ?m infra-red window channel and the absorption channels of water vapor (6.2 ?m), ozone (9.7 ?m) and carbon dioxide (13.4 ?m) in the form of brightness temperature differences were used. The theoretical background of all four methods is explained, and the detection results are compared with daytime high?resolution visible (HRV) satellite images to validate each method. Of the four tested methods, the best performance is found for the combination of brightness temperature differences 6.2–10.8 and 9.7–10.8 ?m, which are correlated to overshootings in HRV images in 80% of the cases. The second part of the research is focused on determining whether the appearance of the overshooting top, a manifestation of a very strong updraft in the cloud, can be connected to an abrupt change of certain weather elements on the ground. For all overshooting tops found by the above-mentioned combined method, automatic station data within the range of 0.1° and available hail observations within 0.2° were analyzed. The results show that the overshootings are connected to precipitation in 80% and to wind gusts in 70% of the cases; in contrast, a slightly lower correlation was found for temperature and humidity changes. Hail is observed in the vicinity of the overshooting in 38% of the cases.

Petra Mikuš; Nataša Strelec Mahovi?

2013-01-01T23:59:59.000Z

20

Key Assumptions Policy Issues  

E-Print Network [OSTI]

11/13/2014 1 Key Assumptions and Policy Issues RAAC Steering Committee November 17, 2014 Portland Supply Limitations 8 Withi h B l i8. Within-hour Balancing 9. Capacity and Energy Values for Wind/Solar t b it d d li d· Thermal: must be sited and licensed · Wind/solar: must be sited and licensed · EE

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


21

A Web Service Model for Providing Weather Information through Sensor Networks Using a Fermat Point Based Data Forwarding Scheme  

Science Journals Connector (OSTI)

Web services providing weather information are not new. The existing web services working on this kind of fields can provide more précised information if the concerned data is collected in a distributed fashion using a sensor network. Longer the lifetime of the sensor network longer is the service provided without interruption. In this paper we propose a web service for providing weather information with a sensor network as the backbone. We have used a Fermat point based forwarding technique to minimize the energy consumption of the sensor network which eventually helps the web service work in an uninterrupted fashion for a longer duration as the life time of the network has prolonged.

2010-01-01T23:59:59.000Z

22

Copula Based Stochastic Weather Generator as an Application for Crop Growth Models and Crop Insurance  

E-Print Network [OSTI]

Stochastic Weather Generators (SWG) try to reproduce the stochastic patterns of climatological variables characterized by high dimensionality, non-normal probability density functions and non-linear dependence relationships. However, conventional...

Juarez Torres, Miriam 77-

2012-08-31T23:59:59.000Z

23

Space Weather Influence on Satellite-based Navigation and Precise Positioning  

Science Journals Connector (OSTI)

Global Navigation Satellite Systems (GNSS) are widely used to ... of GNSS applications. In particular, disturbed Space Weather conditions can be the origin of strong ... degrades the accuracy of GNSS applications...

R. Warnant; S. Lejeune; M. Bavier

2007-01-01T23:59:59.000Z

24

Weatherization and Intergovernmental Program: Weatherization Assistance  

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

Weatherization Assistance Program to someone by E-mail Weatherization Assistance Program to someone by E-mail Share Weatherization and Intergovernmental Program: Weatherization Assistance Program on Facebook Tweet about Weatherization and Intergovernmental Program: Weatherization Assistance Program on Twitter Bookmark Weatherization and Intergovernmental Program: Weatherization Assistance Program on Google Bookmark Weatherization and Intergovernmental Program: Weatherization Assistance Program on Delicious Rank Weatherization and Intergovernmental Program: Weatherization Assistance Program on Digg Find More places to share Weatherization and Intergovernmental Program: Weatherization Assistance Program on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

25

Residential Weatherization  

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

Showerheads Residential Weatherization Performance Tested Comfort Systems Ductless Heat Pumps New Construction Residential Marketing Toolkit Retail Sales Allocation Tool...

26

Weatherization and Intergovernmental Program: Apply for Weatherization  

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

Apply Apply for Weatherization Assistance to someone by E-mail Share Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Facebook Tweet about Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Twitter Bookmark Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Google Bookmark Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Delicious Rank Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on Digg Find More places to share Weatherization and Intergovernmental Program: Apply for Weatherization Assistance on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

27

Weatherization and Intergovernmental Program: Weatherization Services  

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

Services to someone by E-mail Services to someone by E-mail Share Weatherization and Intergovernmental Program: Weatherization Services on Facebook Tweet about Weatherization and Intergovernmental Program: Weatherization Services on Twitter Bookmark Weatherization and Intergovernmental Program: Weatherization Services on Google Bookmark Weatherization and Intergovernmental Program: Weatherization Services on Delicious Rank Weatherization and Intergovernmental Program: Weatherization Services on Digg Find More places to share Weatherization and Intergovernmental Program: Weatherization Services on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services History Goals & Metrics Allocation Formula Apply for Weatherization Assistance WAP - Sustainable Energy Resources for Consumers Grants

28

Weatherization Assistance Program Allocation Formula  

Broader source: Energy.gov [DOE]

Weatherization Assistance Program (WAP) uses and allocation formula to calculate the weatherization grants to the states based on the amount of funding Congress appropriates to the program in a given year.

29

Assessment of Gasification-Based Biorefining at Kraft Pulp and Paper Mills in the United States, Part A: Background and Assumptions  

SciTech Connect (OSTI)

Commercialization of black liquor and biomass gasification technologies is anticipated in the 2010-2015 time frame, and synthesis gas from gasifiers can be converted into liquid fuels using catalytic synthesis technologies that are already commercially established in the gas-to-liquids or coal-to-liquids industries. This set of two papers describes key results from a major assessment of the prospective energy, environmental, and financial performance of commercial gasification-based biorefineries integrated with kraft pulp and paper mills [1]. Seven detailed biorefinery designs were developed for a reference mill in the southeastern United States, together with the associated mass/energy balances, air emissions estimates, and capital investment requirements. The biorefineries provide chemical recovery services and co-produce process steam for the mill, some electricity, and one of three liquid fuels: a Fischer-Tropsch synthetic crude oil (which could be refined to vehicle fuels at an existing petroleum refinery), dimethyl ether (a diesel engine fuel or propane substitute), or an ethanol-rich mixed-alcohol product. This paper describes the key assumptions that underlie the biorefinery designs. Part B will present analytical results.

Larson, E. D.; Consonni, S.; Katofsky, R. E.; Iisa, K.; Frederick, W. J., Jr.

2008-11-01T23:59:59.000Z

30

Streamflow Forecasting Based on Statistical Applications and Measurements Made with Rain Gage and Weather Radar  

E-Print Network [OSTI]

measurements taken with weather radar. In addition, accurate estimates of lag time can be made from radar observations. For a storm which is unevenly distributed over the watershed, it is demonstrated that a better estimation of lag time may be made from radar...

Hudlow, M.D.

31

Weatherization and Intergovernmental Program: Weatherization Innovation  

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

Innovation Pilot Program to someone by E-mail Innovation Pilot Program to someone by E-mail Share Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on Facebook Tweet about Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on Twitter Bookmark Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on Google Bookmark Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on Delicious Rank Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on Digg Find More places to share Weatherization and Intergovernmental Program: Weatherization Innovation Pilot Program on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program

32

Weatherization and Intergovernmental Program: Weatherization Assistance  

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

Weatherization Assistance Program Allocation Formula to someone by E-mail Share Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on Facebook Tweet about Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on Twitter Bookmark Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on Google Bookmark Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on Delicious Rank Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on Digg Find More places to share Weatherization and Intergovernmental Program: Weatherization Assistance Program Allocation Formula on

33

Weatherization and Intergovernmental Program: National Weatherization  

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

Information Resources Information Resources Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: National Weatherization Training Portal to someone by E-mail Share Weatherization and Intergovernmental Program: National Weatherization Training Portal on Facebook Tweet about Weatherization and Intergovernmental Program: National Weatherization Training Portal on Twitter Bookmark Weatherization and Intergovernmental Program: National Weatherization Training Portal on Google Bookmark Weatherization and Intergovernmental Program: National Weatherization Training Portal on Delicious Rank Weatherization and Intergovernmental Program: National Weatherization Training Portal on Digg Find More places to share Weatherization and Intergovernmental

34

Bandwidth allocation in a multiservice satellite network based on long-term weather forecast scenarios  

Science Journals Connector (OSTI)

The paper compares two alternative hierarchical bandwidth allocation and admission control schemes suited for the multiservice Ka-band satellite environment, where the attenuation of the transmitted signals due to bad weather conditions has a heavy impact on the system's performance. The two schemes are compared by using data derived from a real case study. The aim is to demonstrate that a high level control mechanism for the assignment of the satellite bandwidth to earth stations, which takes into consideration the rain attenuation probabilities of a certain geographical area, improves the system's performance, with respect to an assignment mechanism insensitive to the geographical fade probabilities.

Raffaele Bolla; Nedo Celandroni; Franco Davoli; Erina Ferro; Mario Marchese

2002-01-01T23:59:59.000Z

35

Assumptions  

Gasoline and Diesel Fuel Update (EIA)

to the to the Annual Energy Outlook 1998 December 1997 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Household Expenditures Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 Oil and Gas Supply Module

36

Assumptions  

Gasoline and Diesel Fuel Update (EIA)

1 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 Petroleum Market Module. . . . . . . . . . . . .

37

Weatherizing America  

Broader source: Energy.gov [DOE]

As Recovery Act money arrives to expand home weatherization programs across the country, Zachary Stewart of Phoenix, Ariz., and others have found an exciting opportunity not only to start working...

38

Weatherization Assistance Program | Open Energy Information  

Open Energy Info (EERE)

Weatherization Assistance Program Weatherization Assistance Program Jump to: navigation, search Name Weatherization Assistance Program Place Washington, DC Website http://http://www1.eere.energy References Weatherization Assistance Program[1] Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building Systems Integration LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Weatherization Assistance Program is a company located in Washington, DC. References ↑ "Weatherization Assistance Program" Retrieved from "http://en.openei.org/w/index.php?title=Weatherization_Assistance_Program&oldid=381735" Categories: Clean Energy Organizations

39

Section 25: Future State Assumptions  

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

the Compliance Certification Application (CCA), Chapter 6.0, Section 6.2 and Appendices SCR and MASS (U.S. DOE 1996). Many of these future state assumptions were derived from the...

40

Annual Energy Outlook 96 Assumptions  

Gasoline and Diesel Fuel Update (EIA)

for for the Annual Energy Outlook 1996 January 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Introduction This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 1996 (AEO96). In this context, assumptions include general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports listed in the Appendix. 1 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview. The National Energy Modeling System The projections

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


41

Weatherized in May 2010  

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

**Homes Weatherized in May 2010 (Recovery Act) Total Number of Homes Weatherized through May 2010 (Recovery Act) ***Total Number of Homes Weatherized Calendar Year 2009 - May 2010...

42

Weather Extremes  

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

Extremes Extremes Nature Bulletin No. 45 December 15, 1945 Forest Preserve District of Cook County Clayton F. Smith, President Roberts Mann, Superintendent of Conservation WEATHER EXTREMES Chicago lies in a temperate zone. We are fortunate. The lowest temperature recorded here since the establishment of the Weather Bureau in 1870 was -- 23 F on Dec. 24, 1872. The lowest records elsewhere in the United States are--66 F at Riverside Ranger Station, Yellowstone Park, Wyoming, on Feb. 9, 1933; and -- 78 F at Fort Yukon, Alaska, on Jan. 14, 1934. The lowest record anywhere on earth is 90 F at Verkhoyansk, Siberia, Feb. 5 and 7, 1892. The greatest snowfall recorded in Chicago in one 24-hour period was 14.9 inches on Jan. 30, 1939; but 19.2 inches fell between 1:10 a.m. on March 24 and 8:33 p.m. on March 26, 1930.

43

Optimization of numerical weather/wave prediction models based on information geometry and computational techniques  

Science Journals Connector (OSTI)

The last years a new highly demanding framework has been set for environmental sciences and applied mathematics as a result of the needs posed by issues that are of interest not only of the scientific community but of today's society in general: global warming renewable resources of energy natural hazards can be listed among them. Two are the main directions that the research community follows today in order to address the above problems: The utilization of environmental observations obtained from in situ or remote sensing sources and the meteorological-oceanographic simulations based on physical-mathematical models. In particular trying to reach credible local forecasts the two previous data sources are combined by algorithms that are essentially based on optimization processes. The conventional approaches in this framework usually neglect the topological-geometrical properties of the space of the data under study by adopting least square methods based on classical Euclidean geometry tools. In the present work new optimization techniques are discussed making use of methodologies from a rapidly advancing branch of applied Mathematics the Information Geometry. The latter prove that the distributions of data sets are elements of non-Euclidean structures in which the underlying geometry may differ significantly from the classical one. Geometrical entities like Riemannian metrics distances curvature and affine connections are utilized in order to define the optimum distributions fitting to the environmental data at specific areas and to form differential systems that describes the optimization procedures. The methodology proposed is clarified by an application for wind speed forecasts in the Kefaloniaisland Greece.

2014-01-01T23:59:59.000Z

44

A Space Weather Information Service Based Upon Remote and In-Situ Measurements of Coronal Mass Ejections Heading for Earth  

E-Print Network [OSTI]

The Earth's magnetosphere is formed as a consequence of interaction between the planet's magnetic field and the solar wind, a continuous plasma stream from the Sun. A number of different solar wind phenomena have been studied over the past forty years with the intention of understanding and forecasting solar behavior. One of these phenomena in particular, Earth-bound interplanetary coronal mass ejections (CMEs), can significantly disturb the Earth's magnetosphere for a short time and cause geomagnetic storms. This publication presents a mission concept consisting of six spacecraft that are equally spaced in a heliocentric orbit at 0.72 AU. These spacecraft will monitor the plasma properties, the magnetic field's orientation and magnitude, and the 3D-propagation trajectory of CMEs heading for Earth. The primary objective of this mission is to increase space weather (SW) forecasting time by means of a near real-time information service, that is based upon in-situ and remote measurements of the aforementioned CM...

Ritter, Birgit; Miles, Oscar; Rußwurm, Michael; Scully, Stephen; Roldán, Andrés; Hartkorn, Oliver; Jüstel, Peter; Réville, Victor; Lupu, Sorina; Ruffenach, Alexis

2015-01-01T23:59:59.000Z

45

Commercial Weatherization | Department of Energy  

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

Commercial Weatherization Commercial Weatherization Commercial Weatherization When high energy bills and a dwindling customer base threatened the Athenian Corner's well-being, the restaurant turned to energy efficiency upgrades to help operating costs and improve its bottom line. Learn how energy efficiency upgrades are helping the Athenian Corner be a viable business. When high energy bills and a dwindling customer base threatened the Athenian Corner's well-being, the restaurant turned to energy efficiency upgrades to help operating costs and improve its bottom line. Learn how energy efficiency upgrades are helping the Athenian Corner be a viable business. Commercial buildings consume 19 percent of the energy used in the U.S.

46

Cathy Zoi on Weatherization  

SciTech Connect (OSTI)

Right now, the Weatherization Assistance Program is now weatherizing 25,000 homes each month. So far 10,000 jobs have been created under the Recovery Act.

Zoi, Cath

2010-01-01T23:59:59.000Z

47

Weatherization Pilot Projects  

Broader source: Energy.gov [DOE]

Webinars, fact sheets, and other information on Weatherization Assistance Program's Sustainable Energy Resources for Consumers and Weatherization Innovation Pilot Program projects.

48

Assumptions to the Annual Energy Outlook 2013  

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

Demand Module Demand Module This page inTenTionally lefT blank 27 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing

49

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2003, DOE/EIA-M068(2003) April 2003. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

50

Weatherization and Intergovernmental Activities  

Office of Energy Efficiency and Renewable Energy (EERE)

Weatherization and Intergovernmental Activities Annual Performance Results and Targets FY 2008 Congressional Budget

51

Upper Air Wind Measurements by Weather Radar Iwan Holleman, Henk Benschop, and Jitze van der Meulen  

E-Print Network [OSTI]

or assimilated into numerical weather prediction (NWP) models. Un- der the assumption of a linear wind field background statistics of the weather radar wind profiles against the Hirlam NWP model are at least as good of the VVP wind profiles against the Hirlam NWP model demonstrate the high quality of weather radar wind

Stoffelen, Ad

52

Weatherization and Intergovernmental Program: History of the Weatherization  

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

History History of the Weatherization Assistance Program to someone by E-mail Share Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on Facebook Tweet about Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on Twitter Bookmark Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on Google Bookmark Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on Delicious Rank Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on Digg Find More places to share Weatherization and Intergovernmental Program: History of the Weatherization Assistance Program on AddThis.com...

53

EIA - Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

7 7 Assumptions to the Annual Energy Outlook 2007 This report summarizes the major assumptions used in the NEMS to generate the AEO2007 projections. Contents (Complete Report) Download complete Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Macroeconomic Activity Module Macroeconomic Activity Module Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800.

54

Connecticut: Bridgeport Multifamily Weatherization  

Office of Energy Efficiency and Renewable Energy (EERE)

A multifamily facility in Bridgeport that provides safe housing for individuals, veterans and the homeless, received weatherization services with funding from EERE's Weatherization Assistance Program, estimated to save nearly $7,000 in energy costs annually.

55

6961 weather resistance [n  

Science Journals Connector (OSTI)

constr. (Property of materials which are unaffected by the deteriorating effects of weather, including rain, sun, frost, etc.; in U.S., ‘w. r.’, rather than ‘weather proofing’, is a term used to prot...

2010-01-01T23:59:59.000Z

56

WEATHER HAZARDS Basic Climatology  

E-Print Network [OSTI]

) Wildfires (Jun 02) Recent Declared Disasters in Colorado No Map from FEMA provided #12;National WeatherWEATHER HAZARDS Basic Climatology Colorado Climate Center Funding provided by NOAA Sectoral

57

Weatherization Assistance Program  

Broader source: Energy.gov [DOE]

This fact sheet provides an overview of the U.S. Department of Energys Weatherization Assistance Program.

58

Clark Public Utilities - Residential Weatherization Loan Program |  

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

Weatherization Loan Program Weatherization Loan Program Clark Public Utilities - Residential Weatherization Loan Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Windows, Doors, & Skylights Maximum Rebate $15,000 Program Info State District of Columbia Program Type Utility Loan Program Rebate Amount up to $15,000 Provider Clark Public Utilities Loans of up to $15,000 at a 5.25% interest are available through Clark Public Utilities' Weatherization Loan Program. The loans can pay for the average local cost of eligible measures, based on recently completed projects. Customers have up to seven years to repay the loans, but monthly payments will be at least $25. The utility charges a $225 or $350 loan set-up fee, depending on the loan amount, which can be paid up front or

59

Five case studies of multifamily weatherization programs  

SciTech Connect (OSTI)

The multifamily case studies that are the subject of this report were conducted to provide a better understanding of the approach taken by program operators in weatherizing large buildings. Because of significant variations in building construction and energy systems across the country, five states were selected based on their high level of multifamily weatherization. This report summarizes findings from case studies conducted by multifamily weatherization operations in five cities. The case studies were conducted between January and November 1994. Each of the case studies involved extensive interviews with the staff of weatherization subgrantees conducting multifamily weatherization, the inspection of 4 to 12 buildings weatherized between 1991 and 1993, and the analysis of savings and costs. The case studies focused on innovative techniques which appear to work well.

Kinney, L; Wilson, T.; Lewis, G. [Synertech Systems Corp. (United States)] [Synertech Systems Corp. (United States); MacDonald, M. [Oak Ridge National Lab., TN (United States)] [Oak Ridge National Lab., TN (United States)

1997-12-31T23:59:59.000Z

60

Weather Data Gamification  

E-Print Network [OSTI]

. With the huge amount of weather data available, we have designed and developed a fantasy weather game. People manage a team of cities with the goal of predicting weather better than other players in their league, and in the process gain an understanding...

Gargate, Rohit

2013-07-25T23:59:59.000Z

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


61

Climate Action Planning Tool Formulas and Assumptions  

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

CLIMATE ACTION PLANNING TOOL FORMULAS AND ASSUMPTIONS Climate Action Planning Tool Formulas and Assumptions The Climate Action Planning Tool calculations use the following formulas and assumptions to generate the business-as-usual scenario and the greenhouse gas emissions reduction goals for the technology options. Business-as-Usual Scenario All Scope 1 (gas, oil, coal, fleet, and electricity) and Scope 2 calculations increase at a rate equal to the building growth rate. Scope 3 calculations (commuters and business travel) increase at a rate equal to the population growth rate. Assumptions New buildings will consume energy at the same rate (energy use intensity) as existing campus buildings. Fleet operations will be proportional to total building area.

62

Heuristics for Robust Resource Allocation of Satellite Weather Data Processing  

E-Print Network [OSTI]

Heuristics for Robust Resource Allocation of Satellite Weather Data Processing on a Heterogeneous--This work considers the satellite data processing portion of a space-based weather monitoring system, and is trans- mitted back to the data processing system. The weather imaging data sent down by the satellite

Maciejewski, Anthony A.

63

Winter Weather Outlook  

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

to predict exactly how these climate factors will affect the nation's winter weather extremes. Forecasters are expecting large temperature and precipitation swings across the...

64

Weather Charts - Hanford Site  

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

Station Real Time Met Data from Around the Site Current HMS Observations Daily HMS Extremes in Met Data Met and Climate Data Summary Products Historical Weather Charts Contacts...

65

Assumptions to the Annual Energy Outlook 2013  

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

Introduction Introduction This page inTenTionally lefT blank 3 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2013 [1] (AEO2013), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System Projections in the AEO2013 are generated using the NEMS, developed and maintained by the Office of Energy Analysis of the U.S.

66

Assumptions to the Annual Energy Outlook 2013  

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

Assumptions to the Annual Assumptions to the Annual Energy Outlook 2013 May 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. Table of Contents Introduction .................................................................................................................................................. 3

67

Development and Evaluation of a Coupled Photosynthesis-Based Gas Exchange Evapotranspiration Model (GEM) for Mesoscale Weather Forecasting Applications  

E-Print Network [OSTI]

Development and Evaluation of a Coupled Photosynthesis-Based Gas Exchange Evapotranspiration Model with a photosynthesis-based scheme and still achieve dynamically consistent results. To demonstrate this transformative potential, the authors developed and coupled a photosynthesis, gas exchange­based surface evapotranspiration

Niyogi, Dev

68

On the Source of Midlatitude Low-Frequency Variability. Part II: Nonlinear Equilibration of Weather Regimes  

Science Journals Connector (OSTI)

We present a new statistical-dynamical approach to the concept of weather regimes, including the effect of tralisients, without any assumption other than scale separation. The method is applied to a quasi-geostrophic channel model without ...

Robert Vautard; Bernard Legras

1988-10-01T23:59:59.000Z

69

Weatherization and Intergovernmental Program: About  

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

About About Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: About to someone by E-mail Share Weatherization and Intergovernmental Program: About on Facebook Tweet about Weatherization and Intergovernmental Program: About on Twitter Bookmark Weatherization and Intergovernmental Program: About on Google Bookmark Weatherization and Intergovernmental Program: About on Delicious Rank Weatherization and Intergovernmental Program: About on Digg Find More places to share Weatherization and Intergovernmental Program: About on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program WAP - Sustainable Energy Resources for Consumers Grants WAP - Weatherization Innovation Pilot Program State Energy Program

70

Assumptions to the Annual Energy Outlook 2008  

Gasoline and Diesel Fuel Update (EIA)

8) 8) Release date: June 2008 Next release date: March 2009 Assumptions to the Annual Energy Outlook 2008 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Commercial Demand Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 Natural Gas Transmission and Distribution Module. . . . . . . . . . . . . . . . . . . . . . 113 Petroleum Market Module

71

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network [OSTI]

Preliminary Assumptions for Natural Gas Peaking Technologies Gillian Charles and Steve Simmons GRAC, Reciprocating Engines Next steps 2 #12;Definitions Baseload Energy: power generated (or conserved) across a period of time to serve system demands for electricity Peaking Capacity: capability of power generating

72

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network [OSTI]

Preliminary Assumptions for Natural Gas Peaking Technologies Gillian Charles GRAC 2/27/14 #12;Today Vernon, WA PSE Klamath Generation Peakers June 2002 (2) 54 MW P&W FT8 Twin- pac 95 MW Klamath, OR IPP; winter-only PPA w/ PSE Dave Gates Generating Station Jan 2011 (3) P&W SWIFTPAC 150 MW Anaconda, MT North

73

Empirically Revisiting the Test Independence Assumption  

E-Print Network [OSTI]

Empirically Revisiting the Test Independence Assumption Sai Zhang, Darioush Jalali, Jochen Wuttke}@cs.washington.edu ABSTRACT In a test suite, all the test cases should be independent: no test should affect any other test's result, and running the tests in any order should produce the same test results. Techniques such as test

Ernst, Michael

74

Adjoint Sensitivity Analysis for Numerical Weather Prediction  

E-Print Network [OSTI]

Sep 2, 2011 ... Adjoint Sensitivity Analysis for Numerical Weather Prediction: Applications to ... weather variables using numerical weather prediction models.

Alexandru Cioaca

2011-09-02T23:59:59.000Z

75

Paintball Summer Weather  

E-Print Network [OSTI]

Highlights · Paintball · Summer Weather · Birthdays · Manners TheELIWeekly Paintball! Come out France Iraq Japan Korea Kuwait Libya Netherlands Niger Peru Qatar Saudi Arabia Spain Taiwan Thailand Turkey United States Venezuela Summer Weather Safety We've come to realize in the past that not all

Pilyugin, Sergei S.

76

weather | OpenEI  

Open Energy Info (EERE)

weather weather Dataset Summary Description A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. Source NREL Date Released February 07th, 2013 (10 months ago) Date Updated Unknown Keywords 2011 data NREL RSF weather Data text/csv icon rsf_weather_data_2011.csv (csv, 851.2 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating.

77

Weatherized in January  

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

**Number of Homes **Number of Homes Weatherized in January 2011 (Recovery Act) Total Number of Homes Weatherized through January 2011 (Recovery Act) ***Total Number of Homes Weatherized through January 2011 Calendar Year 2009 - January 2011 (Recovery Act + Annual Program Funding) U.S. Department of Energy Weatherization Assistance Program Homes Weatherized By Grantee in January 2011 (Calendar Year) (Recovery Act) (Recovery Act Annual Program Funding) Alabama 323 4,036 4,780 1 Alaska 21 231 1,850 Arizona 289 4,000 5,187 Arkansas 179 3,545 5,263 California 1,469 24,620 28,197 Colorado 401 7,188 12,926 Connecticut 530 3,689 4,758 2 2 Delaware 519 689 District of Columbia 30 661 972 Florida 799 8,895 9,971 Georgia 526 7,718 8,476 Hawaii 13 419 774 Idaho 244 3,996 5,963 Illinois

78

NEWTON's Weather Archive  

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

Weather Archive: Weather Archive: Loading Most Recent Weather Questions: Acid Rain and Evaporation Effects Ground Temperature for Snow to 'Stick' Clouds and Time of Day Chart Scales on Vertical Velocity Chart Aneroid Barometers: Aircraft; Meteorology Air and Saturation Pressure Tornado Size and Vortex Spin Rate Polar Air Pressure Coldest Temperature in Atmosphere; Elevation Snow Clump Formation Relative Humidity, Temperature, Amount of Water Polar Weather Systems Bergeron Process Cloud Formation and Time of Day Hailstone Shape Threshold Values for Classifying Pressure Systems Rain Shadow Range Cloud Suspension Measuring Rainfall Why Does It Rain? Measuring Rainfall Dew Point and Dogs Size of Cloud from Shadow What is dBZ in Meteorology? Daily Temperature Lag To see all entries in the Weather

79

What is Weatherization | Department of Energy  

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

What is Weatherization Weatherization as defined by the Weatherization Assistance Program (WAP) differs in many ways from what is commonly called "weatherizing your...

80

Estimation of Ground-Level Reflectivity Factor in Operational Weather Radar Networks Using VPR-Based Correction Ensembles  

Science Journals Connector (OSTI)

An operational method is presented that corrects the bias of radar-based quantitative precipitation estimations (QPE) in radar networks that is due to the vertical profile of reflectivity (VPR) factor. It is used in both rain and snowfall. ...

Jarmo Koistinen; Heikki Pohjola

2014-10-01T23:59:59.000Z

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


81

Assumptions to the Annual Energy Outlook 2013  

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

Energy Module Energy Module This page inTenTionally lefT blank 21 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 International Energy Module The LFMM International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of future U.S. and world crude-like liquids production and consumption to estimate the effects of changes in U.S. liquid fuels markets on the international petroleum market. For each year of the forecast, the LFMM IEM computes BRENT and WTI prices, provides a supply curve of world crude-like liquids, and generates a worldwide oil supply- demand balance with regional detail. The IEM also provides, for each year of the projection period, endogenous and

82

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2004 Assumptions to the Annual Energy Outlook 2004 143 Appendix A: Handling of Federal and Selected State Legislation and Regulation in the Annual Energy Outlook Legislation Brief Description AEO Handling Basis Residential Sector A. National Appliance Energy Conservation Act of 1987 Requires Secretary of Energy to set minimum efficiency standards for 10 appliance categories a. Room Air Conditioners Current standard of 8.82 EER Federal Register Notice of Final Rulemaking, b. Other Air Conditioners (<5.4 tons) Current standard 10 SEER for central air conditioner and heat pumps, increasing to 12 SEER in 2006. Federal Register Notice of Final Rulemaking, c. Water Heaters Electric: Current standard .86 EF, incr easing to .90 EF in 2004. Gas: Curren

83

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7, DOE/EIA- 7, DOE/EIA- M068(2007). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described. EMM Regions The supply regions used in EMM are based on the North American Electric Reliability Council regions and

84

Assumptions to the Annual Energy Outlook - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumption to the Annual Energy Outlook Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20041 (AEO2004), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview3, which is updated once every two years. The National Energy Modeling System The projections in the AEO2004 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers in the U.S. Congress, the Administration, including DOE Program Offices, and other government agencies.

85

Weatherizing Wilkes-Barre  

ScienceCinema (OSTI)

Ride along with some weatherizers in Wilkes-Barre, PA, as they blower door test, manage z-doors, and dense pack their way to an energy efficient future one house at a time.

Calore, Joe

2013-05-29T23:59:59.000Z

86

Performance of weather-conditional rebates under different risk preferences  

Science Journals Connector (OSTI)

Retailers who sell seasonal products often face challenges in demand management due to weather uncertainty. In many cases, they make their ordering and pricing decisions prior to the regular selling season but the vast majority of sales do not occur until after the season starts, during which unfavorable weather conditions may result in high monetary losses. To protect against such adverse financial outcomes, retailers may offer weather-linked promotions such as weather rebates and induce customers to make early purchases. Specifically, weather-conditional rebates are incentives offered in an advance promotional period to be paid to the early buyers if the weather state in the regular season is unfavorable. In the presence of seasonal weather uncertainty, risk attitudes of retailers and buyers may play an important role on the effectiveness of these promotions. In this paper, we analyze the performance of weather-conditional rebates by explicitly considering the impact of different risk behaviors. First, we study the case in which the retailer and customers are risk-neutral and show that the weather-conditional rebates are effective in increasing the retailer's profits. Under the assumption of the retailer's risk-neutrality, we conduct a simulation study to investigate the impact of customers' alternative early-purchase behaviors on the performance of the rebate program. Next, we consider a risk-averse retailer. We model the retailer's risk aversion primarily in the mean–variance framework and find that the rebate program can be designed to increase the mean profit and reduce the profit variance simultaneously. Furthermore, by combining the rebate program with a financial instrument such as binary weather options, the retailer can obtain greater benefits from weather-conditional rebates.

Ozgun Caliskan Demirag

2013-01-01T23:59:59.000Z

87

Neighborhood Weatherization, Houston  

E-Print Network [OSTI]

with industry groups 5. Referrals http://www.click2houston.com/video/24501979/index.html 2010 CLEAResult. All rights reserved. Milestone Celebration 2010 CLEAResult. All rights reserved. 10,000 Homes Weatherized 2010 CLEAResult. All rights... with industry groups 5. Referrals http://www.click2houston.com/video/24501979/index.html 2010 CLEAResult. All rights reserved. Milestone Celebration 2010 CLEAResult. All rights reserved. 10,000 Homes Weatherized 2010 CLEAResult. All rights...

Fowler, M.

2011-01-01T23:59:59.000Z

88

Weatherization Assistance Program  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy (DOE) Weatherization Assistance Program provides grants to states, territories, and some Indian tribes to improve the energy efficiency of the homes of low-income families. These governments, in turn, contract with local governments and nonprofit agencies to provide weatherization services to those in need using the latest technologies for home energy upgrades. Since the program began in 1976, DOE has helped improve the lives of than 7 million families by reducing their energy bills.

89

ERADERAD 20062006Proceedings ofProceedings of Detecting weather radar clutter  

E-Print Network [OSTI]

ERADERAD 20062006Proceedings ofProceedings of Detecting weather radar clutter using satellite results from investigations into detection of weather radar clutter by data fusion with satellite-based nowcasting products. Weather radar data from three C-band Doppler weather radars of the Danish Meteorological

90

Weather Regime Prediction Using Statistical Learning  

E-Print Network [OSTI]

most advanced numerical weather prediction models still havefor numerical weather prediction models. Acknowledgements It

A. Deloncle; R. Berk; F. D'Andrea; M. Ghil

2011-01-01T23:59:59.000Z

91

NOAA National Weather Service I'm a weather forecaster.  

E-Print Network [OSTI]

.S.D EPARTMENT OF COM M ERCE How Do You Make a Weather Satellite? How Do You Make a Weather Satellite? #12;Well you put a truck in orbit? So it can carry all the things needed to make a working weather satelliteNOAA National Weather Service I'm a weather forecaster. I need to see clouds and storms from way up

Waliser, Duane E.

92

Portland Diversifying Weatherization Workforce | Department of Energy  

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

Diversifying Weatherization Workforce Diversifying Weatherization Workforce Portland Diversifying Weatherization Workforce May 6, 2010 - 4:45pm Addthis Stephen Graff Former Writer & editor for Energy Empowers, EERE As Recovery Act funds started flowing towards businesses in Oregon last year, stakeholders in Portland wanted to make sure some of the money landed in the hands of women, minorities and other underrepresented groups. A diverse group in itself, the stakeholders-made up of city officials, labor unions, civil rights organizations, nonprofits, faith-based organizations and contractors-signed the agreement as the Clean Energy Works Portland program got underway. The agreement ensures that those in disadvantaged communities have access to some of the weatherization jobs stemming from the pilot phase, which has almost 500 homes receiving

93

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, and (4) the implementation of recent regulatory reform. A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, Model Documentation 2003, DOE/EIA- M062(2003) (Washington, DC, January 2003).

94

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20031 (AEO2003), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2003 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers and analysts in the U.S. Congress, the Department of Energy’s Office of Policy and International Affairs, other DOE offices, and other government agencies.

95

Weatherization Training for South Carolina's Muggy Weather | Department of  

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

Weatherization Training for South Carolina's Muggy Weather Weatherization Training for South Carolina's Muggy Weather Weatherization Training for South Carolina's Muggy Weather June 22, 2010 - 3:46pm Addthis Trident Technical College in Charleston, SC., has added another sustainability component to its curriculum: weatherization. A program already filled with renewable energy courses, TTC Green, now offers training and certification for technicians. This training, available for anyone from novices to the experienced, teaches how to weatherize the diverse array of homes in the muggy Charleston area to be more energy efficient. Two of the school's continuing education courses, both under three weeks in length, offer certification to individuals with weatherization backgrounds, giving them additional credentials and skills in the industry. TTC Green

96

Manufacturing Energy and Carbon Footprint Definitions and Assumptions, October 2012  

Broader source: Energy.gov [DOE]

Definitions of parameters and table of assumptions for the Manufacturing Energy and Carbon Footprint

97

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2006 The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2006, DOE/EIA- M068(2006). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

98

EIA - Assumptions to the Annual Energy Outlook 2008 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2008 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2008, DOE/EIA-M068(2008). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

99

Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumption to the Annual Energy Outlook Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2004, DOE/EIA- M068(2004). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

100

Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Tools Tools Printable Version Share this resource Send a link to Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology to someone by E-mail Share Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Facebook Tweet about Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Twitter Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Google Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Delicious Rank Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Digg Find More places to share Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on AddThis.com...

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


101

Assumptions to the Annual Energy Outlook - Contacts  

Gasoline and Diesel Fuel Update (EIA)

Contacts Contacts Assumption to the Annual Energy Outlook Contacts Specific questions about the information in this report may be directed to: Introduction Paul D. Holtberg 202/586-1284 Macroeconomic Activity Module Ronald F. Earley Yvonne Taylor 202/586-1398 202/586-1398 International Energy Module G. Daniel Butler 202/586-9503 Household Expenditures Module/ Residential Demand Module John H. Cymbalsky 202/586-4815 Commercial Demand Module Erin E. Boedecker 202/586-4791 Industrial Demand Module T. Crawford Honeycutt 202/586-1420 Transportation Demand Module John D. Maples 202/586-1757 Electricity Market Module Laura Martin 202/586-1494 Oil and Gas Supply Module/Natural Gas Transmission and Distribution Module Joseph Benneche 202/586-6132 Petroleum Market Module Bill Brown 202/586-8181

102

Assumptions to the Annual Energy Outlook 2013  

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

Industrial Demand Module Industrial Demand Module This page inTenTionally lefT blank 53 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Industrial Demand Module The NEMS Industrial Demand Module (IDM) estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are subdivided further into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure. The non-manufacturing industries are modeled with less detail because processes are simpler and there is less available data. The petroleum refining

103

Assumptions to the Annual Energy Outlook 2013  

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

Macroeconomic Activity Module Macroeconomic Activity Module This page inTenTionally lefT blank 17 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents interactions between the U.S. economy and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP), is a key determinant of growth in the demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected

104

Assumptions to the Annual Energy Outlook 2013  

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

Demand Module Demand Module This page inTenTionally lefT blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2040. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

105

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below.106

106

Cold Weather Hazards  

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

0 0 Cold Weather Hazards June 2010 NSA_cwh_Rev10.doc 1 Atmospheric Radiation Measurement Climate Research Facility/ North Slope of Alaska/Adjacent Arctic Ocean (ACRF/NSA/AAO) Cold Weather Hazards Winter Conditions at the North Slope of Alaska The North Slope of Alaska is north of the Arctic Circle at latitudes ranging from 69 to 72 degrees. Barrow, the largest town on the North Slope (pop. 4500), is the site of a National Weather Service Station, which has been active for several decades, so the climatology of the Alaska arctic coastal region as represented by Barrow is relatively well known. The North Slope is covered with ice and snow typically eight months of the year (October-May). During part of November, all of December, and most of January, the sun does not come above the horizon; this

107

Weatherization and Intergovernmental Program: News  

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

News News Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: News to someone by E-mail Share Weatherization and Intergovernmental Program: News on Facebook Tweet about Weatherization and Intergovernmental Program: News on Twitter Bookmark Weatherization and Intergovernmental Program: News on Google Bookmark Weatherization and Intergovernmental Program: News on Delicious Rank Weatherization and Intergovernmental Program: News on Digg Find More places to share Weatherization and Intergovernmental Program: News on AddThis.com... News December 9, 2013 Improving Energy Efficiency and Creating Jobs Through Weatherization Since 2009, when the Energy Department seized a major opportunity to invest $5 billion through our Weatherization Assistance Program (WAP) to stimulate

108

Weatherization Works!: Weatherization Assistance Program Close-Up Fact Sheet  

SciTech Connect (OSTI)

The United States demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

109

Intelligent weather agent for aircraft severe weather avoidance  

E-Print Network [OSTI]

Severe weather conditions pose a large threat to the safety of aircraft, since they are responsible for a large percentage of aviation related accidents. With the advent of the free flight environment, the exigency for an autonomous severe weather...

Bokadia, Sangeeta

2012-06-07T23:59:59.000Z

110

A real time model to forecast 24 hours ahead, ozone peaks and exceedance levels. Model based on artificial neural networks, neural classifier and weather predictions.  

E-Print Network [OSTI]

on artificial neural networks, neural classifier and weather predictions. Application in an urban atmosphere - will be solved. Keywords: Artificial neural network; Multilayer Perceptron; ozone modelling; statistical stepwise and Software 22, 9 (2007) 1261-1269" DOI : 10.1016/j.envsoft.2006.08.002 #12;Abstract A neural network combined

Paris-Sud XI, Université de

111

Weatherized in November  

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

November November 2010 Total Number of Homes Weatherized through November 2010 ***Total Number of Homes Weatherized through November 2010 Calendar Year 2009 November 2010 U.S. Department of Energy Weatherization Assistance Program Homes Weatherized By State in November 2010 (Calendar Year) November 2010 (Recovery Act) November 2010 (Recovery Act) Calendar Year 2009 - November 2010 (Recovery Act + Annual Program Funding) Alabama 262 3,433 4,141 1 Alaska 14 113 1,646 Arizona 326 3,420 4,581 Arkansas 248 3,162 4,670 California 1,495 21,185 23,153 Colorado 414 6,317 11,819 , , Connecticut 2,363 3,432 2 Delaware 940 1,110 District of Columbia 30 614 872 Florida 643 7,446 8,522 Georgia 580 6,780 7,495 Hawaii 18 398 766 Idaho 212 3,552 5,482 Illi i 1 674 18 862 26 340 Illinois 1,674 18,862 26,340

112

Weather and Joints  

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

Weather and Joints Weather and Joints Name: Brittany Location: N/A Country: N/A Date: N/A Question: Why do people feel the weather changin in their joints? Is it just a superstition? Replies: People feel weather changes in their bodies because storm systems are accompanied by lower air pressure. When a storm system is approaching the barometric pressure or air pressure will drop. Inside the body is air pressure also. The pressure inside the body is approximately 15 lbs per square inch. Normal air pressure on the outside is approximately the same. When both numbers are equal most people don't feel anything. However, when the low pressure system approaches or the air pressure drops, the pressure on the inside of the body is greater than outside and that air on the inside tries to get out because air flows from high pressure to low pressure. This causes swelling and discomfort in some people's joints, especially in the elderly or people who have suffered injuries to those areas (those areas are weakened somewhat due to the injury and less resistant to the changes in pressure).

113

Weatherized in October  

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

October October 2010 Total Number of Homes Weatherized through October 2010 ***Total Number of Homes Weatherized through October 2010 Calendar Year 2009 October 2010 U.S. Department of Energy Weatherization Assistance Program Homes Weatherized By State in October 2010 (Calendar Year) October 2010 (Recovery Act) October 2010 (Recovery Act) Calendar Year 2009 - October 2010 (Recovery Act + Annual Program Funding) Alabama 313 3,171 3,879 1 Alaska 16 99 1,632 Arizona 279 3,094 4,255 Arkansas 215 2,914 4,422 California 1,880 19,690 21,658 Colorado 451 5,903 11,405 , , Connecticut 367 2,363 3,432 2 Delaware 940 1,110 District of Columbia 102 584 842 Florida 725 6,803 7,879 Georgia 698 6,200 6,915 Hawaii 20 380 748 Idaho 198 3,340 5,270 Illi i 1 973 17 188 24 666 Illinois 1,973 17,188 24,666 Indiana

114

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division. Key Assumptions The historical input data used to develop the HEM version for the AEO2003 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2003 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS).

115

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2003, DOE/EIA-M060(2003) (Washington, DC, January 2003). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of capacity utilization of mines, mining capacity, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

116

6962 weather-resistant [adj  

Science Journals Connector (OSTI)

constr. (Descriptive term applied to surfaces of walls, roofs, pavements, wood, etc. exposed to the weather, which have powers of resistance to effects of weather; ? nonrotting [US]/non...

2010-01-01T23:59:59.000Z

117

A Guide to Weather Satellites  

Science Journals Connector (OSTI)

Whenever there is a live weather satellite image (amateur radio enthusiasts use the term ... comment referred to amateur radio hams discussing the weather around the world in the early 1960s, ... could now be mad...

Lawrence Harris

2010-01-01T23:59:59.000Z

118

The science of space weather  

Science Journals Connector (OSTI)

...magnetic reconnection|space weather| 1. Introduction Fifty...31 January 1958, the satellite Explorer 1 was launched...et al. 2005). (e) Satellite anomalies Space weather can cause a variety of satellite anomalies such as surface...

2008-01-01T23:59:59.000Z

119

Space Weather Prediction with Exascale Computing  

E-Print Network [OSTI]

Space weather refers to conditions on the Sun, in the interplanetary space and in the Earth space environment that can influence the performance and reliability of space-borne and ground-based technological systems and can endanger human life or health. Adverse conditions in the space environment can cause disruption of satellite operations, communications, navigation, and electric power distribution grids, leading to a variety of socioeconomic losses. The conditions in space are also linked to the Earth climate. The activity of the Sun affects the total amount of heat and light reaching the Earth and the amount of cosmic rays arriving in the atmosphere, a phenomenon linked with the amount of cloud cover and precipitation. Given these great impacts on society, space weather is attracting a growing attention and is the subject of international efforts worldwide. We focus here on the steps necessary for achieving a true physics-based ability to predict the arrival and consequences of major space weather storms....

Lapenta, Giovanni

2011-01-01T23:59:59.000Z

120

Weatherization Assistance Program Success Stories  

Broader source: Energy.gov [DOE]

Office of Energy Efficiency and Renewable Energy (EERE) success stories and blog entries for the Weatherization Assistance Program (WAP).

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


121

New Hampshire Weatherization Gets a Funding Boost | Department of Energy  

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

New Hampshire Weatherization Gets a Funding Boost New Hampshire Weatherization Gets a Funding Boost New Hampshire Weatherization Gets a Funding Boost March 15, 2010 - 6:13pm Addthis Community Action Program Belknap-Merrimack Counties' (CAP-BM) weatherization program is changing rapidly. The nonprofit received an additional $3,661,355 in funding, from the Recovery Act in an effort to help residents lower energy costs. New Hampshire based CAP-BM is named for the two counties it serves, both a mix of rural and urban areas. With the funding, more low-income residents can have their homes weatherized, free of charge. A growing program means a growing workforce. Dana Nute is the weatherization director for CAP-BM. "We now employ more people. We needed more square footage so physically we had to expand," he says. 72 new

122

States Celebrate National Weatherization Day  

Broader source: Energy.gov [DOE]

States across the country celebrated National Weatherization Day October 30 with formal proclamations from governors and special events to recognize the importance of weatherization and the dedication of local weatherization service providers, state and local agencies, and researchers dedicated to improving the energy efficiency of American homes.

123

2010 Manufacturing Energy and Carbon Footprints: Definitions and Assumptions  

Broader source: Energy.gov [DOE]

This 13-page document provides definitions and assumptions used in the Manufacturing Energy and Carbon Footprints (MECS 2010)

124

Weatherization Training for South Carolina's Muggy Weather | Department of  

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

Training for South Carolina's Muggy Weather Training for South Carolina's Muggy Weather Weatherization Training for South Carolina's Muggy Weather June 22, 2010 - 3:46pm Addthis Trident Technical College in Charleston, SC., has added another sustainability component to its curriculum: weatherization. A program already filled with renewable energy courses, TTC Green, now offers training and certification for technicians. This training, available for anyone from novices to the experienced, teaches how to weatherize the diverse array of homes in the muggy Charleston area to be more energy efficient. Two of the school's continuing education courses, both under three weeks in length, offer certification to individuals with weatherization backgrounds, giving them additional credentials and skills in the industry. TTC Green

125

ORNL Weatherization Program Evaluation | Open Energy Information  

Open Energy Info (EERE)

ORNL Weatherization Program Evaluation ORNL Weatherization Program Evaluation (Redirected from Weatherization Program Evaluation) Jump to: navigation, search Tool Summary Name: Weatherization Program Evaluation Agency/Company /Organization: Oak Ridge National Laboratory Sector: Energy Focus Area: Buildings Topics: Policies/deployment programs Website: weatherization.ornl.gov/WeatherizationProgramEvaluations.htm References: Weatherization Program Evaluation [1] Logo: Weatherization Program Evaluation Oak Ridge National Laboratory provides weatherization program evaluations as part of the U.S. Department of Energy's Weatherization Assistance Program. This evaluation program is also available to international organizations. This article is a stub. You can help OpenEI by expanding it. Oak Ridge National Laboratory provides weatherization program evaluations

126

EIA - Assumptions to the Annual Energy Outlook 2010 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2010 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock,

127

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2006 Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment

128

Connecticut's Health Impact Study Rapidly Increasing Weatherization...  

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

of Weatherization Assistance Program Technical Assistance Center Donna Hawkins Technology Transfer Specialist, Weatherization Assistance Program Floris Weston Project Officer,...

129

Accelerating Clean Energy Adoption (Fact Sheet), Weatherization...  

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

Accelerating Clean Energy Adoption (Fact Sheet), Weatherization and Intergovernmental Program (WIP) Accelerating Clean Energy Adoption (Fact Sheet), Weatherization and...

130

Assumptions to the Annual Energy Outlook 2000 - Electricity Market Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. The major assumptions are summarized below.

131

ORNL Weatherization Program Evaluation | Open Energy Information  

Open Energy Info (EERE)

ORNL Weatherization Program Evaluation ORNL Weatherization Program Evaluation Jump to: navigation, search Tool Summary Name: Weatherization Program Evaluation Agency/Company /Organization: Oak Ridge National Laboratory Sector: Energy Focus Area: Buildings Topics: Policies/deployment programs Website: weatherization.ornl.gov/WeatherizationProgramEvaluations.htm References: Weatherization Program Evaluation [1] Logo: Weatherization Program Evaluation Oak Ridge National Laboratory provides weatherization program evaluations as part of the U.S. Department of Energy's Weatherization Assistance Program. This evaluation program is also available to international organizations. This article is a stub. You can help OpenEI by expanding it. Oak Ridge National Laboratory provides weatherization program evaluations

132

Weatherization Assistance Program: Spurring Innovation, Increasing Home  

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

Weatherization Assistance Program: Spurring Innovation, Increasing Weatherization Assistance Program: Spurring Innovation, Increasing Home Energy Efficiency Weatherization Assistance Program: Spurring Innovation, Increasing Home Energy Efficiency October 31, 2013 - 5:01pm Addthis The Intermountain Weatherization Training Center in Clearfield, Utah. Weatherization Training Centers throughout the nation teach workers valuable skills needed to improve energy efficiency of homes. | Photo courtesy of Intermountain Weatherization Training Center The Intermountain Weatherization Training Center in Clearfield, Utah. Weatherization Training Centers throughout the nation teach workers valuable skills needed to improve energy efficiency of homes. | Photo courtesy of Intermountain Weatherization Training Center Bob Adams Supervisor, Weatherization Assistance Program

133

EIA - Assumptions to the Annual Energy Outlook 2009 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2009 Electricity Market Module figure 6. Electricity Market Model Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2009, DOE/EIA-M068(2009). Based on fuel prices and electricity demands provided by the other modules

134

Assumptions to the Annual Energy Outlook - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumption to the Annual Energy Outlook Industrial Demand Module Table 17. Industry Categories Printer Friendly Version Energy-Intensive Manufacturing Nonenergy-Intensive Manufacturing Nonmanufacturing Industries Food and Kindred Products (NAICS 311) Metals-Based Durables (NAICS 332-336) Agricultural Production -Crops (NAICS 111) Paper and Allied Products (NAICS 322) Balance of Manufacturing (all remaining manufacturing NAICS) Other Agriculture Including Livestock (NAICS112- 115) Bulk Chemicals (NAICS 32B) Coal Mining (NAICS 2121) Glass and Glass Products (NAICS 3272) Oil and Gas Extraction (NAICS 211) Hydraulic Cement (NAICS 32731) Metal and Other Nonmetallic Mining (NAICS 2122- 2123) Blast Furnaces and Basic Steel (NAICS 331111) Construction (NAICS233-235)

135

Fish, Weather and People  

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

Fish, Weather and People Fish, Weather and People Nature Bulletin No. 241-A October 22, 1966 Forest Preserve District of Cook County Seymour Simon, President Roland F. Eisenbeis, Supt. of Conservation FISH, WEATHER AND PEOPLE. Fishing can be one of the cheapest and most satisfying forms of recreation for people of all ages and both sexes. The proudest moment for many a boy is when he comes home with a big catfish or a string of bluegills caught with a can of worms for bait, and a cane pole or a willow cut from a thicket. Fishing can also be an expensive sport when the fisherman, laden with gadgets and high-priced tackle, journeys long distances to northern waters. The time of year, the sign of the moon, the barometric pressure, the direction and velocity of wind, rainfall, the amount of fishing and other conditions are some of the reasons given by credulous fisherman to bolster up their alibis. None of them can be proved. We do know that, in general, in the streams, ponds and inland lakes of Illinois, the principal fish caught in early spring are bullheads and, after them, the crappies. In summer the catches are mostly bluegills and largemouth black bass. In autumn, often, we again get good strings of crappies. But beyond that, as far as we know, in only one body of water has there been kept sufficient records over a long term of years, and a scientific study of such records, to throw any light upon the theories about why and when fish bite or don't bite.

136

Weatherization Roundup | Department of Energy  

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

Roundup Roundup Weatherization Roundup January 10, 2012 - 2:34pm Addthis Brian Bernal installs a carbon monoxide detector for a homeowner participating in the Weatherization Assistance Program in Loveland, CO. | Credit: Dennis Schroeder, NREL. Brian Bernal installs a carbon monoxide detector for a homeowner participating in the Weatherization Assistance Program in Loveland, CO. | Credit: Dennis Schroeder, NREL. April Saylor April Saylor Former Digital Outreach Strategist, Office of Public Affairs What does this mean for me? More than 750 thousand homes have been weatherized over the last three years. The Weatherization Assistance Program is saving the average household $400 a year on their utility bills. Last week, we told you about the more than 750 thousand homes weatherized

137

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

138

Weatherization Apprenticeship Program  

SciTech Connect (OSTI)

Weatherization improvement services will be provided to Native people by Native people. The proposed project will recruit, train and hire two full-time weatherization technicians who will improve the energy efficiency of homes of Alaska Natives/American Indians residing in the Indian areas, within the Cook Inlet Region of Alaska. The Region includes Anchorage as well as 8 small tribal villages: The Native Villages of Eklutna, Knik, Chickaloon, Seldovia, Ninilchik, Kenaitze, Salamatof, and Tyonek. This project will be a partnership between three entities, with Cook Inlet Tribal Council (CITC) as the lead agency: CITCA's Employment and Training Services Department, Cook Inlet Housing Authority and Alaska Works Partnership. Additionally, six of the eight tribal villages within the Cook Inlet Region of Alaska have agreed to work with the project in order to improve the energy efficiency of their tribally owned buildings and homes. The remaining three villages will be invited to participate in the establishment of an intertribal consortium through this project. Tribal homes and buildings within Anchorage fall under Cook Inlet Region, Inc. (CIRI) tribal authority.

Watson, Eric J

2012-12-18T23:59:59.000Z

139

Search Print this chapter Cite this chapter CLIMATE AND WEATHER OF THE SUN -EARTH SYSTEM  

E-Print Network [OSTI]

, including satellite-based communication and navigation systems. Extreme Space Weather events (vizSearch Print this chapter Cite this chapter CLIMATE AND WEATHER OF THE SUN - EARTH SYSTEM Ilya-Planck-Institut fr Sonnensystemforschung, Katlenburg-Lindau, Germany Keywords: Space weather, Space climate, solar

Usoskin, Ilya G.

140

Number 348 December 2008 This month's CALLBACK is devoted to cold-weather  

E-Print Network [OSTI]

with an onboard satellite weather display. Our reporter made a "go" decision based on the availability because of onboard [satellite] weather and ability to keep an eye on the thunderstorms north of our route conditions, cancelled IFR, and requested VFR flight following...About 2 minutes later [satellite] weather

Note: This page contains sample records for the topic "weather assumptions base" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Robust Resource Allocation in Weather Data Processing Systems Mohana Oltikar1  

E-Print Network [OSTI]

A space-based weather monitoring system consists of three major components: a satellite scheduling systemRobust Resource Allocation in Weather Data Processing Systems Mohana Oltikar1 , Jeff Brateman3@jrmartin.com Abstract Reliability of weather data processing systems is of prime importance to ensure the efficient

Maciejewski, Anthony A.

142

EVALUATION OF NUMERICAL WEATHER PREDICTION IN MODELING CLOUD-RADIATION INTERACTIONS OVER THE SOUTHERN GREAT PLAINS  

E-Print Network [OSTI]

EVALUATION OF NUMERICAL WEATHER PREDICTION IN MODELING CLOUD- RADIATION INTERACTIONS OVER.bnl.gov ABSTRACT Numerical weather prediction (NWP) is the basis for present-day weather forecasts, and NWP- and satellite- based observations over the Southern Great Plains to evaluate how well cloud

Johnson, Peter D.

143

Bishop Paiute Weatherization Training Program  

SciTech Connect (OSTI)

The DOE Weatherization Training Grant assisted Native American trainees in developing weatherization competencies, creating employment opportunities for Bishop Paiute tribal members in a growing field. The trainees completed all the necessary training and certification requirements and delivered high-quality weatherization services on the Bishop Paiute Reservation. Six tribal members received all three certifications for weatherization; four of the trainees are currently employed. The public benefit includes (1) development of marketable skills by low-income Native individuals, (2) employment for low-income Native individuals in a growing industry, and (3) economic development opportunities that were previously not available to these individuals or the Tribe.

Carlos Hernandez

2010-01-28T23:59:59.000Z

144

EIA - Assumptions to the Annual Energy Outlook 2010  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2010 This report summarizes the major assumptions used in the NEMS to generate the AEO2010 projections. Introduction Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module PDF (GIF) Appendix A: Handling of Federal and Selected State Legislation and Regulation In the Annual Energy Outlook Past Assumptions Editions Download the Report Assumptions to the Annual Energy Outlook 2010 Report Cover. Need help, contact the National Energy Information Center at 202-586-8800.

145

The Use of Satellite Data in Numerical Weather Prediction  

Science Journals Connector (OSTI)

The basic ideas of numerical weather prediction (NWP) are introduced and it ... so called conventional observations with remotely-sensed (satellite based) measurements is demonstrated. The true nature of satellite

A. P. McNally

1994-01-01T23:59:59.000Z

146

EERE: Weatherization and Intergovernmental Program - Site Map  

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

Site Map Site Map Site Map Printable Version Share this resource Send a link to EERE: Weatherization and Intergovernmental Program - Site Map to someone by E-mail Share EERE: Weatherization and Intergovernmental Program - Site Map on Facebook Tweet about EERE: Weatherization and Intergovernmental Program - Site Map on Twitter Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Google Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Delicious Rank EERE: Weatherization and Intergovernmental Program - Site Map on Digg Find More places to share EERE: Weatherization and Intergovernmental Program - Site Map on AddThis.com... Site Map About Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

147

Assumption-Commitment Support for CSP Model Checking  

E-Print Network [OSTI]

AVoCS 2006 Assumption-Commitment Support for CSP Model Checking Nick Moffat1 Systems Assurance using CSP. In our formulation, an assumption-commitment style property of a process SYS takes the form-Guarantee, CSP, Model Checking, Compositional Reasoning 1 Introduction The principle of compositional program

Paris-Sud XI, Université de

148

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

6 6 Assumptions to the Annual Energy Outlook 2006 This report presents major assumptions of NEMS that are used to generate the projections in the AEO2006. Contents (Complete Report) Download complete Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Introduction Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800. Macroeconomic Activity Module Macroeconomic Activity Module Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800.

149

Home Weatherization | Department of Energy  

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

Weatherization Weatherization Home Weatherization A home energy audit is the first step to saving energy and money. Our Energy Saver 101 infographic breaks down a home energy audit, explaining what energy auditors look for and the special tools they use to determine where a home is wasting energy. Explore the full infographic now. A home energy audit is the first step to saving energy and money. Our Energy Saver 101 infographic breaks down a home energy audit, explaining what energy auditors look for and the special tools they use to determine where a home is wasting energy. Explore the full infographic now. From air sealing to improving ventilation to adding insulation, home weatherization helps consumers save money by saving energy. Weatherization

150

Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumption to the Annual Energy Outlook Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

151

EIA - Assumptions to the Annual Energy Outlook 2009 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2009 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the projection horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the projection horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

152

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Journals Connector (OSTI)

For over 30 years, weather forecasting for the Antarctic continent and adjacent Southern Ocean has relied on weather satellites. Significant advancements in forecasting skill have come via the weather satellite. The advent of the high-resolution ...

Matthew A. Lazzara; Linda M. Keller; Charles R. Stearns; Jonathan E. Thom; George A. Weidner

2003-02-01T23:59:59.000Z

153

TMY2 Weather Data | Department of Energy  

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

TMY2 Weather Data TMY2 Weather Data TMY2 weather data that were used to generate the reference buildings refbldgs-v1.35.0-weatherfilestmy2.zip More Documents & Publications TMY2...

154

EIA - Assumptions to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2009 The Early Release for next year's Annual Energy Outlook will be presented at the John Hopkins Kenney Auditorium on December 14th This report summarizes the major assumptions used in the NEMS to generate the AEO2009 projections. Introduction Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module PDF (GIF) Appendix A: Handling of Federal and Selected State Legislation and Regulation In the Annual Energy Outlook Past Assumptions Editions

155

MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT  

SciTech Connect (OSTI)

The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost (LCC) estimate and schedule update incorporating information from the Viability Assessment (VA) , License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.

R.E. Sweeney

2001-02-08T23:59:59.000Z

156

Weatherization and Intergovernmental Program: Department of Labor  

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

Program Guidance Program Guidance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program (WAP) - Revised December 2009 to someone by E-mail Share Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program (WAP) - Revised December 2009 on Facebook Tweet about Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program (WAP) - Revised December 2009 on Twitter Bookmark Weatherization and Intergovernmental Program: Department of Labor Prevailing Wage Determinations for Weatherization Assistance Program

157

Weatherization and Intergovernmental Program: Information Resources  

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

Information Resources Information Resources Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Information Resources to someone by E-mail Share Weatherization and Intergovernmental Program: Information Resources on Facebook Tweet about Weatherization and Intergovernmental Program: Information Resources on Twitter Bookmark Weatherization and Intergovernmental Program: Information Resources on Google Bookmark Weatherization and Intergovernmental Program: Information Resources on Delicious Rank Weatherization and Intergovernmental Program: Information Resources on Digg Find More places to share Weatherization and Intergovernmental Program: Information Resources on AddThis.com... Publications Weatherization Assistance Program Resources

158

Weatherization and Intergovernmental Program: Tribal Energy Program  

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

About About Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Tribal Energy Program to someone by E-mail Share Weatherization and Intergovernmental Program: Tribal Energy Program on Facebook Tweet about Weatherization and Intergovernmental Program: Tribal Energy Program on Twitter Bookmark Weatherization and Intergovernmental Program: Tribal Energy Program on Google Bookmark Weatherization and Intergovernmental Program: Tribal Energy Program on Delicious Rank Weatherization and Intergovernmental Program: Tribal Energy Program on Digg Find More places to share Weatherization and Intergovernmental Program: Tribal Energy Program on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program

159

Weatherization and Intergovernmental Program: Technical Assistance  

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

Technical Assistance Technical Assistance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Technical Assistance to someone by E-mail Share Weatherization and Intergovernmental Program: Technical Assistance on Facebook Tweet about Weatherization and Intergovernmental Program: Technical Assistance on Twitter Bookmark Weatherization and Intergovernmental Program: Technical Assistance on Google Bookmark Weatherization and Intergovernmental Program: Technical Assistance on Delicious Rank Weatherization and Intergovernmental Program: Technical Assistance on Digg Find More places to share Weatherization and Intergovernmental Program: Technical Assistance on AddThis.com... Quick Links Solution Center Weatherization Assistance Program Technical Assistance Center

160

Weatherization and Intergovernmental Program: Recovery Act  

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

Recovery Act to someone by E-mail Share Weatherization and Intergovernmental Program: Recovery Act on Facebook Tweet about Weatherization and Intergovernmental Program: Recovery Act on Twitter Bookmark Weatherization and Intergovernmental Program: Recovery Act on Google Bookmark Weatherization and Intergovernmental Program: Recovery Act on Delicious Rank Weatherization and Intergovernmental Program: Recovery Act on Digg Find More places to share Weatherization and Intergovernmental Program: Recovery Act on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program WAP - Sustainable Energy Resources for Consumers Grants WAP - Weatherization Innovation Pilot Program State Energy Program Energy Efficiency & Conservation Block Grant Program

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


161

Monitoring Plan for Weatherization Assistance Program, State...  

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

Monitoring Plan for Weatherization Assistance Program, State Energy Program and Energy Efficiency and Conservation Block Grants Monitoring Plan for Weatherization Assistance...

162

Management of Weather and Climate Disputes  

E-Print Network [OSTI]

than intentional climate modification may as a by- productuse weather and climate modification techniques for hostilekinds of weather and climate modification, a sophisticated

Weiss, Edith Brown

1983-01-01T23:59:59.000Z

163

Administration Announces Nearly $8 Billion in Weatherization...  

Office of Environmental Management (EM)

Administration Announces Nearly 8 Billion in Weatherization Funding and Energy Efficiency Grants Administration Announces Nearly 8 Billion in Weatherization Funding and Energy...

164

New York: Weatherizing Westbeth Reduces Energy Consumption |...  

Energy Savers [EERE]

York: Weatherizing Westbeth Reduces Energy Consumption New York: Weatherizing Westbeth Reduces Energy Consumption August 21, 2013 - 12:00am Addthis The New York State Homes and...

165

WEATHERIZATION ANNUAL FILE WORKSHEET | Department of Energy  

Energy Savers [EERE]

is designed to gather specific detail related to the expenditures of the Weatherization grant. WEATHERIZATION ANNUAL FILE WORKSHEET More Documents & Publications DOE F 540.3 DOE F...

166

DREAM tool increases space weather predictions  

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

using real-time space weather observations and an interactive user interface to support satellite operators and space weather forecasters. For national security applications,...

167

Weatherization Assistance Program | Department of Energy  

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

About the Office Weatherization Assistance Program Where to Apply for Assistance What is Weatherization Goals & Metrics Pilot Projects Success Stories Guidelines for Home Energy...

168

Fusion of artificial neural network and fuzzy system for short term weather forecasting  

Science Journals Connector (OSTI)

Weather forecasting is the challenging problem for the modern life. Some researches have been conducted to design the accurate prediction in some past years but still it is incomplete. In this paper, we propose the system of short period weather forecasting designed based on the current weather parameter consisted of temperature, humidity, air pressure, wind direction and speed and present weather condition. This system uses fusion of feed forward artificial neural network (ANN) and fuzzy system architecture as main algorithm of weather prediction, Lavendberg-Marquadt as learning algorithm and fuzzy C-mean (FCM) as clustering method in initialisation step. Based on the system architecture, this method can predict the weather continuously despite the change of unpredictable patterns. Furthermore, this system has clear reasoning logic on the fuzzy logic instead of its adaptation ability on its neural network architecture. The performance of proposed system has accuracy up to 78% for validity among three possible weathers, i.e., shiny, cloudy and rainy.

Budiman Putra; Bagus Tris Atmaja; Syahroni Hidayat

2012-01-01T23:59:59.000Z

169

EIA - Assumptions to the Annual Energy Outlook 2008 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2008 International Energy Module The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously global and U.S.A. petroleum liquids supply and demand curves (1 curve per year; 2008-2030; approximated, isoelastic fit to previous NEMS results). These quantities are not modeled directly in NEMS. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2008 with IEO2007 and the STEO some functionality was removed from IEM while a new algorithm was implemented. Based on the difference between U.S. total petroleum liquids production (consumption) and the expected U.S. total liquids production (consumption) at the current WTI price, curves for global petroleum liquids consumption (production) were adjusted for each year. According to previous operations, a new WTI price path was generated. An exogenous oil supply module, Generate World Oil Balances (GWOB), was also used in IEM to provide annual regional (country) level production detail for conventional and unconventional liquids.

170

Assumptions to Annual Energy Outlook - Energy Information Administration  

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

Assumptions to AEO2013 Assumptions to AEO2013 Release Date: May 14, 2013 | Next Release Date: May 2014 | full report Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2013 [1] (AEO2013), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System Projections in the AEO2013 are generated using the NEMS, developed and maintained by the Office of Energy Analysis of the U.S. Energy Information Administration (EIA). In addition to its use in developing the Annual

171

Assumptions to Annual Energy Outlook - Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to AEO2012 Assumptions to AEO2012 Release Date: August 2, 2012 | Next Release Date: August 2013 | Full report Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2012 [1] (AEO2012), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System The projections in AEO2012 are generated using the NEMS, developed and maintained by the Office of Energy Analysis (OEA) of the U.S. Energy Information Administration (EIA). In addition to its use in developing the

172

Notes 01. The fundamental assumptions and equations of lubrication theory  

E-Print Network [OSTI]

The fundamental assumption in Lubrication Theory. Derivation of thin film flow equations from Navier-Stokes equations. Importance of fluid inertia effects in thin film flows. Some fluid physical properties...

San Andres, Luis

2009-01-01T23:59:59.000Z

173

Idaho National Engineering Laboratory installation roadmap assumptions document. Revision 1  

SciTech Connect (OSTI)

This document is a composite of roadmap assumptions developed for the Idaho National Engineering Laboratory (INEL) by the US Department of Energy Idaho Field Office and subcontractor personnel as a key element in the implementation of the Roadmap Methodology for the INEL Site. The development and identification of these assumptions in an important factor in planning basis development and establishes the planning baseline for all subsequent roadmap analysis at the INEL.

Not Available

1993-05-01T23:59:59.000Z

174

Global Warming and Extreme Weather  

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

Global Warming and Extreme Weather Global Warming and Extreme Weather Speaker(s): Michael Wehner Date: November 28, 2006 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Surabi Menon Extreme weather events can have serious impacts on human and ecological systems. Changes in the magnitude and frequency of extreme weather associated with changes in the mean climate are likely the most serious consequence of human induced global warming. Understanding what the future portends is vital if society hopes to adapt to the very different world that awaits. In this talk, we will exploit simple extreme value theory to make predictions about the late 21st century climate. Current work on the relationship between global warming and the hurricane cycle will also be presented. The bottom line is that events that are considered rare today

175

Oldest and Largest The Weather  

E-Print Network [OSTI]

MIT's Oldest and Largest Newspaper The Weather Today: Clear skies, 45°F (70C) Tonight: Clear, cool Eilts, former U.S. Ambassador to Saudi Arabia and Egypt and Professor Emeritus of Inter- national

176

Sensitivity of Rooftop PV Projections in the SunShot Vision Study to Market Assumptions  

SciTech Connect (OSTI)

The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The SolarDS model was used to simulate rooftop PV demand for this study, based on several PV market assumptions--future electricity rates, customer access to financing, and others--in addition to the SunShot PV price projections. This paper finds that modeled PV demand is highly sensitive to several non-price market assumptions, particularly PV financing parameters.

Drury, E.; Denholm, P.; Margolis, R.

2013-01-01T23:59:59.000Z

177

Weatherization and Intergovernmental Program: Recovery Act and the  

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

and the Weatherization Assistance Program to someone by E-mail and the Weatherization Assistance Program to someone by E-mail Share Weatherization and Intergovernmental Program: Recovery Act and the Weatherization Assistance Program on Facebook Tweet about Weatherization and Intergovernmental Program: Recovery Act and the Weatherization Assistance Program on Twitter Bookmark Weatherization and Intergovernmental Program: Recovery Act and the Weatherization Assistance Program on Google Bookmark Weatherization and Intergovernmental Program: Recovery Act and the Weatherization Assistance Program on Delicious Rank Weatherization and Intergovernmental Program: Recovery Act and the Weatherization Assistance Program on Digg Find More places to share Weatherization and Intergovernmental Program: Recovery Act and the Weatherization Assistance Program on

178

Prediction versus Projection: How weather forecasting and  

E-Print Network [OSTI]

Prediction versus Projection: How weather forecasting and climate models differ. Aaron B. Wilson Context: Global http://data.giss.nasa.gov/ #12;Numerical Weather Prediction Collect Observations alters associated weather patterns. Models used to predict weather depend on the current observed state

Howat, Ian M.

179

Low-Income Weatherization: The Human Dimension  

Broader source: Energy.gov [DOE]

This presentation focuses on how the human dimension saves energy within low-income weatherization programs.

180

Weatherization and Intergovernmental Program Success Stories  

Broader source: Energy.gov [DOE]

Weatherization and Intergovernmental Programs Office (WIPO) success stories, news clips, and press releases.

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


181

DREAM tool increases space weather predictions  

E-Print Network [OSTI]

and an interactive user interface to support satellite operators and space weather forecasters. For national security- 1 - DREAM tool increases space weather predictions April 13, 2012 Predicting space weather in an article published in Space Weather, a journal of the American Geophysical Union. Space environment and its

182

EERE: Weatherization and Intergovernmental Program - Contacts  

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

Contacts Contacts Site Map Printable Version Share this resource Send a link to EERE: Weatherization and Intergovernmental Program - Contacts to someone by E-mail Share EERE: Weatherization and Intergovernmental Program - Contacts on Facebook Tweet about EERE: Weatherization and Intergovernmental Program - Contacts on Twitter Bookmark EERE: Weatherization and Intergovernmental Program - Contacts on Google Bookmark EERE: Weatherization and Intergovernmental Program - Contacts on Delicious Rank EERE: Weatherization and Intergovernmental Program - Contacts on Digg Find More places to share EERE: Weatherization and Intergovernmental Program - Contacts on AddThis.com... Contacts Web site and program contacts are provided below. Web Site Contact Send us your comments, report problems, and/or ask questions about

183

Weatherization and Intergovernmental Program: Historic Preservation  

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

Program Guidance Program Guidance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Historic Preservation to someone by E-mail Share Weatherization and Intergovernmental Program: Historic Preservation on Facebook Tweet about Weatherization and Intergovernmental Program: Historic Preservation on Twitter Bookmark Weatherization and Intergovernmental Program: Historic Preservation on Google Bookmark Weatherization and Intergovernmental Program: Historic Preservation on Delicious Rank Weatherization and Intergovernmental Program: Historic Preservation on Digg Find More places to share Weatherization and Intergovernmental Program: Historic Preservation on AddThis.com... Closeout Guidance Recovery Act Monitoring & Reporting

184

Weatherization and Intergovernmental Program: Closeout Guidance  

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

Program Guidance Program Guidance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Closeout Guidance to someone by E-mail Share Weatherization and Intergovernmental Program: Closeout Guidance on Facebook Tweet about Weatherization and Intergovernmental Program: Closeout Guidance on Twitter Bookmark Weatherization and Intergovernmental Program: Closeout Guidance on Google Bookmark Weatherization and Intergovernmental Program: Closeout Guidance on Delicious Rank Weatherization and Intergovernmental Program: Closeout Guidance on Digg Find More places to share Weatherization and Intergovernmental Program: Closeout Guidance on AddThis.com... Closeout Guidance Recovery Act Monitoring & Reporting National Environmental Policy Act

185

Weatherization and Intergovernmental Program: Program Guidance  

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

Program Guidance Program Guidance Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Program Guidance to someone by E-mail Share Weatherization and Intergovernmental Program: Program Guidance on Facebook Tweet about Weatherization and Intergovernmental Program: Program Guidance on Twitter Bookmark Weatherization and Intergovernmental Program: Program Guidance on Google Bookmark Weatherization and Intergovernmental Program: Program Guidance on Delicious Rank Weatherization and Intergovernmental Program: Program Guidance on Digg Find More places to share Weatherization and Intergovernmental Program: Program Guidance on AddThis.com... Closeout Guidance Recovery Act Monitoring & Reporting National Environmental Policy Act

186

Weatherization and Intergovernmental Program: Financial Opportunities  

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

Financial Financial Opportunities Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Financial Opportunities to someone by E-mail Share Weatherization and Intergovernmental Program: Financial Opportunities on Facebook Tweet about Weatherization and Intergovernmental Program: Financial Opportunities on Twitter Bookmark Weatherization and Intergovernmental Program: Financial Opportunities on Google Bookmark Weatherization and Intergovernmental Program: Financial Opportunities on Delicious Rank Weatherization and Intergovernmental Program: Financial Opportunities on Digg Find More places to share Weatherization and Intergovernmental Program: Financial Opportunities on AddThis.com... Financial Opportunities On this page, you can read about how the U.S. Department of Energy (DOE)

187

Unemployed Truck Driver Trains for New Career in Weatherization |  

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

Truck Driver Trains for New Career in Weatherization Truck Driver Trains for New Career in Weatherization Unemployed Truck Driver Trains for New Career in Weatherization November 5, 2010 - 2:46pm Addthis Maya Payne Smart Former Writer for Energy Empowers, EERE What does this mean for me? Workers across the country are being retrained for careers in the new clean energy economy. Tyrone Bailey had been out of work for 14 months when an unemployment office staffer told him about a home-weatherization training program offered by the state of New Jersey. The former truck driver and construction worker jumped at the opportunity to acquire new skills and began training January 19. He graduated April 1 and won a position with GreenLight Solutions, a Montclair, New Jersey-based residential home improvement company just two weeks later.

188

Carbon Monoxide Poisoning Avoided Through Weatherization | Department of  

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

Carbon Monoxide Poisoning Avoided Through Weatherization Carbon Monoxide Poisoning Avoided Through Weatherization Carbon Monoxide Poisoning Avoided Through Weatherization October 5, 2010 - 10:56am Addthis Joshua DeLung What does this mean for me? Getting your heating pipes fixed can not only save you money, but also improve your health. "If we'd had a couple cold nights where I would've had to use my heat more than usual, it probably would've put me to sleep and left me there -- it was just too much carbon monoxide coming out in the house," says Mark Pickartz, of Van Buren, Ark. Pickartz's home was weatherized in February by his local community action agency, Crawford-Sebastian Community Development Council (C-SCDC). When energy auditors arrived to his house, they found that his home's heater was severely leaking the poisonous gas. C-SCDC, based in Fort Smith, Ark.,

189

Unemployed Truck Driver Trains for New Career in Weatherization |  

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

Unemployed Truck Driver Trains for New Career in Weatherization Unemployed Truck Driver Trains for New Career in Weatherization Unemployed Truck Driver Trains for New Career in Weatherization November 5, 2010 - 2:46pm Addthis Maya Payne Smart Former Writer for Energy Empowers, EERE What does this mean for me? Workers across the country are being retrained for careers in the new clean energy economy. Tyrone Bailey had been out of work for 14 months when an unemployment office staffer told him about a home-weatherization training program offered by the state of New Jersey. The former truck driver and construction worker jumped at the opportunity to acquire new skills and began training January 19. He graduated April 1 and won a position with GreenLight Solutions, a Montclair, New Jersey-based residential home improvement company just two weeks later.

190

Unemployed Engineer Finds New Career in Weatherization | Department of  

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

Engineer Finds New Career in Weatherization Engineer Finds New Career in Weatherization Unemployed Engineer Finds New Career in Weatherization October 27, 2010 - 10:46am Addthis Kevin Craft Bob Kos worked as a mechanical engineer for 20 years. But a slow economic climate and scarcity of quality jobs had left him unemployed since 2005.In challenging economic times, even experienced professionals can find themselves out of work. This past April, Kos was able to get back to work when he was hired as an energy auditor for the CAP Agency, a Shakopee-based non-profit that provides weatherization services to income-eligible Minnesota residents. "It's nice to be back in a work environment and to be surrounded by a crew that is trying to accomplish something," says Kos. From 35 to 150 homes In the spring of 2009, CAP received $1.5 million via the Recovery and

191

Unemployed Engineer Finds New Career in Weatherization | Department of  

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

Unemployed Engineer Finds New Career in Weatherization Unemployed Engineer Finds New Career in Weatherization Unemployed Engineer Finds New Career in Weatherization October 27, 2010 - 10:46am Addthis Kevin Craft Bob Kos worked as a mechanical engineer for 20 years. But a slow economic climate and scarcity of quality jobs had left him unemployed since 2005.In challenging economic times, even experienced professionals can find themselves out of work. This past April, Kos was able to get back to work when he was hired as an energy auditor for the CAP Agency, a Shakopee-based non-profit that provides weatherization services to income-eligible Minnesota residents. "It's nice to be back in a work environment and to be surrounded by a crew that is trying to accomplish something," says Kos. From 35 to 150 homes

192

Assumptions to the Annual Energy Outlook 1999 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

link.gif (1946 bytes) link.gif (1946 bytes) bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) Supplemental Tables to the AEO99 bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage introduction.gif (4117 bytes) This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 19991 (AEO99), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3

193

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2006 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20061 (AEO2006), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview3, which is updated once every few years. The National Energy Modeling System

194

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

States. States. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes unconventional gas recovery from low permeability formations of sandstone and shale, and coalbeds. Energy Information Administration/Assumptions to the Annual Energy Outlook 2007 93 Figure 7. Oil and Gas Supply Model Regions Source: Energy Information Administration, Office of Integrated Analysis and Forecasting. Report #:DOE/EIA-0554(2007) Release date: April 2007 Next release date: March 2008 Primary inputs for the module are varied. One set of key assumptions concerns estimates of domestic technically recoverable oil and gas resources. Other factors affecting the projection include the assumed

195

Using direct hot-rolling approach to obtain dual-phase weathering steel Cu–P–Cr–Ni–Mo  

Science Journals Connector (OSTI)

A weathering steel Cu–P–Cr–Ni–Mo has been ... based on the continuous cooling transformation diagram of weathering steel Cu–P–Cr–Ni–Mo. The results show that the microstructures of DP weathering steels Cu–P–Cr–Ni...

Chunling Zhang; Dayong Cai; Bo Liao; Yunchang Fan

2010-01-01T23:59:59.000Z

196

Cathy Zoi on Weatherization | Department of Energy  

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

Weatherization Weatherization Cathy Zoi on Weatherization Addthis Description The Weatherization Assistance Program is now weatherizing 25,000 homes each month. So far 10,000 jobs have been created under the Recovery Act. Speakers Cathy Zoi Duration 1:41 Topic Home Weatherization Energy Economy Credit Energy Department Video CATHY ZOI: Hi, there. I'm Cathy Zoi, assistant secretary of energy at the Department of Energy, and I'm here to talk a little bit about the Weatherization Assistance Program. As you all know, the weatherization program was funded to the tune of $5 billion under the recovery act, and that was a huge ramp-up from what we had in the past. What I'm here to say to you is, congratulations, because we've actually reached our run rate. We are now weatherizing

197

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7) 7) Release date: April 2007 Next release date: March 2008 Assumptions to the Annual Energy Outlook 2007 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 Natural Gas Transmission and Distribution Module. . . . . . . . . . . . . . . . . . . . . . 107 Petroleum Market Module

198

COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1  

E-Print Network [OSTI]

1 COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1 Matthew Berman In a recent analysis comparing the current oil production tax, More Alaska Production Act (MAPA, also known as SB 21 oil prices, production rates, and costs. He noted that comparative revenues are highly sensitive

Pantaleone, Jim

199

Reasoning by Assumption: Formalisation and Analysis of Human Reasoning Traces  

E-Print Network [OSTI]

for the traces acquired in experiments undertaken. 1 Introduction Practical reasoning processes are often not limited to single reasoning steps, but extend to traces or trajectories of a number of interrelated by assumption'. This (non-deductive) practical reasoning pattern in- volves a number of interrelated reasoning

Treur, Jan

200

Weatherization and Intergovernmental Program: Sustainable Energy Resources  

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

Sustainable Energy Resources for Consumers (SERC) Grants to someone by E-mail Share Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Facebook Tweet about Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Twitter Bookmark Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Google Bookmark Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Delicious Rank Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Digg Find More places to share Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on

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


201

Weatherization and Intergovernmental Program: Energy Efficiency and  

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

About About Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program to someone by E-mail Share Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program on Facebook Tweet about Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program on Twitter Bookmark Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program on Google Bookmark Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program on Delicious Rank Weatherization and Intergovernmental Program: Energy Efficiency and Conservation Block Grant Program on Digg

202

Weather Forecasting for Radio Astronomy  

E-Print Network [OSTI]

as complex refractivity..." (Liebe, 1985) For each layer of the atmosphere, calculate: Density of water of Maciolek' profiles Weather conditions for past observations Makes possible the generation of detailed Atmospheric pressure, temperature, and humidity as a function of height above a site (and much more). Derived

Groppi, Christopher

203

Aviation Weather Information Requirements Study  

Science Journals Connector (OSTI)

The Aviation Safety Program (AvSP) has as its goal an improvement in aviation safety by a factor of 5 over the next 10 years and a factor of 10 over the next 20 years. Since weather has a big impact on aviation safety and is associated with 30 percent ...

Keel Byron M.; Stancil Charles E.; Eckert Clifford A.; Brown Susan M.; Gimmestad Gary G.; Richards Mark A.

2000-06-01T23:59:59.000Z

204

Weather Forecasts Slowly Clearing Up  

Science Journals Connector (OSTI)

...Computer models fed by automated observing stations...produced more realistic simulations of the weather and thus...NWS's Environmental Modeling Center in College Park, Maryland...landfall, though ECMWF modeling gave an inkling a whopping...equations of motion allow rapid vertical acceleration...

Richard A. Kerr

2012-11-09T23:59:59.000Z

205

Weatherization and Intergovernmental Programs Office  

Broader source: Energy.gov [DOE]

The Weatherization and Intergovernmental Programs Office strategically coordinates with state, local, tribal, and K-12 school district leaders to accelerate the adoption of energy efficiency and renewable energy technologies and best practices. These partnerships help American communities, businesses, and industries overcome barriers to a viable clean energy economy.

206

Weatherization Program Notice 10-13A | Department of Energy  

Office of Environmental Management (EM)

Weatherization Program Notice 10-13A Weatherization Program Notice 10-13A waparrareportingrequirements.pdf More Documents & Publications Monitoring Plan for Weatherization...

207

U.S. Department of Energy Weatherization Assistance Program Homes...  

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

U.S. Department of Energy Weatherization Assistance Program Homes Weatherized By State through 06302010 (Calendar Year) U.S. Department of Energy Weatherization Assistance...

208

Homes Weatherized by State March 2010 | Department of Energy  

Energy Savers [EERE]

March 2010 Homes Weatherized by State March 2010 Weatherization Assistance Program Homes Weatherized By State through 03312010 HomesWeatherizedbyStateQ12010.pdf More...

209

Weather-Corrected Performance Ratio  

SciTech Connect (OSTI)

Photovoltaic (PV) system performance depends on both the quality of the system and the weather. One simple way to communicate the system performance is to use the performance ratio (PR): the ratio of the electricity generated to the electricity that would have been generated if the plant consistently converted sunlight to electricity at the level expected from the DC nameplate rating. The annual system yield for flat-plate PV systems is estimated by the product of the annual insolation in the plane of the array, the nameplate rating of the system, and the PR, which provides an attractive way to estimate expected annual system yield. Unfortunately, the PR is, again, a function of both the PV system efficiency and the weather. If the PR is measured during the winter or during the summer, substantially different values may be obtained, making this metric insufficient to use as the basis for a performance guarantee when precise confidence intervals are required. This technical report defines a way to modify the PR calculation to neutralize biases that may be introduced by variations in the weather, while still reporting a PR that reflects the annual PR at that site given the project design and the project weather file. This resulting weather-corrected PR gives more consistent results throughout the year, enabling its use as a metric for performance guarantees while still retaining the familiarity this metric brings to the industry and the value of its use in predicting actual annual system yield. A testing protocol is also presented to illustrate the use of this new metric with the intent of providing a reference starting point for contractual content.

Dierauf, T.; Growitz, A.; Kurtz, S.; Cruz, J. L. B.; Riley, E.; Hansen, C.

2013-04-01T23:59:59.000Z

210

Response to Weatherization Questions | Department of Energy  

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

Response to Weatherization Questions Response to Weatherization Questions Response to Weatherization Questions August 30, 2010 - 4:53pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs Last week as part of Vice President Biden's announcement of 200,000 homes weatherized under the Recovery act, we asked you to send us your questions and comments about the weatherization process. Today, we're following up with answers experts from the Department's Weatherization and Intergovernmental Program: 1) From edmooney via Twitter: @Energy Besides caulking, what are the best values in weatherization for the Northeast region. #weatherization Nationwide, the energy-efficient retrofits that consistently provide the best return on investment involve sealing gaps in the building envelope

211

Dynamic Algorithm for Space Weather Forecasting System  

E-Print Network [OSTI]

We propose to develop a dynamic algorithm that intelligently analyzes existing solar weather data and constructs an increasingly more accurate equation/algorithm for predicting solar weather accurately in real time. This dynamic algorithm analyzes a...

Fischer, Luke D.

2011-08-08T23:59:59.000Z

212

Space Weather and Hazards to Application Satellites  

Science Journals Connector (OSTI)

“Space weather” is defined by the US National Space Weather Program as referring to “conditions on the ... health.” From the viewpoint of an application satellite, the space environment is a hostile, ... is thus ...

Dr. Michael J. Rycroft

2013-01-01T23:59:59.000Z

213

Bridge Spans from a Weathering Steel  

Science Journals Connector (OSTI)

Weathering steels, including those unpainted, have come to ... structures. In Russia, such an application of weathering steels began by the end of 1980s. The ... atmospheric and climatic zones, are reported. The

A. D. Konyukhov; E. M. Ruvinskaya

2002-01-01T23:59:59.000Z

214

Funding Opportunity Announcement: Weatherization Innovation Pilot Program  

Broader source: Energy.gov [DOE]

U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Weatherization Assistance Program Funding Opportunity Announcement DE-FOA-00000309 dealing with the Weatherization Innovation Pilot Program.

215

Aging and weathering of cool roofing membranes  

E-Print Network [OSTI]

Canada ABSTRACT Aging and weathering can reduce the solarsolar reflectance of 25 weathered roofing membranes from 25 cities across the United States and Canada.Canada. The LBNL study included measuring the spectral solar

2005-01-01T23:59:59.000Z

216

Response to Weatherization Questions | Department of Energy  

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

Response to Weatherization Questions Response to Weatherization Questions Response to Weatherization Questions August 30, 2010 - 4:53pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs Last week as part of Vice President Biden's announcement of 200,000 homes weatherized under the Recovery act, we asked you to send us your questions and comments about the weatherization process. Today, we're following up with answers experts from the Department's Weatherization and Intergovernmental Program: 1) From edmooney via Twitter: @Energy Besides caulking, what are the best values in weatherization for the Northeast region. #weatherization Nationwide, the energy-efficient retrofits that consistently provide the best return on investment involve sealing gaps in the building envelope

217

The Operational Weather Radar Network in Europe  

Science Journals Connector (OSTI)

The operational weather radar network in Europe covers more than 30 countries and contains more than 200 weather radars. The radar network is heterogeneous in hardware, signal processing, transmit/receive frequency, and scanning strategy, thus making it ...

Asko Huuskonen; Elena Saltikoff; Iwan Holleman

2014-06-01T23:59:59.000Z

218

Assumption Parish, Louisiana: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Assumption Parish, Louisiana: Energy Resources Assumption Parish, Louisiana: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 29.9232544°, -91.09694° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.9232544,"lon":-91.09694,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

219

PROJECT MANGEMENT PLAN EXAMPLES Policy & Operational Decisions, Assumptions  

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

Policy & Operational Decisions, Assumptions Policy & Operational Decisions, Assumptions and Strategies Examples 1 & 2 Example 1 1.0 Summary The 322-M Metallurgical Laboratory is currently categorized as a Radiological Facility. It is inactive with no future DOE mission. In May of 1998 it was ranked Number 45 in the Inactive Facilities Risk Ranking database which the Facilities Decommissioning Division maintains. A short-term surveillance and maintenance program is in-place while the facility awaits final deactivation. Completion of the end points described in this deactivation project plan will place the 322-M facility into an End State that can be described as "cold and dark". The facility will be made passively safe requiring minimal surveillance and no scheduled maintenance.

220

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

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

Cost and Performance Cost and Performance Assumptions for Modeling Electricity Generation Technologies Rick Tidball, Joel Bluestein, Nick Rodriguez, and Stu Knoke ICF International Fairfax, Virginia Subcontract Report NREL/SR-6A20-48595 November 2010 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Cost and Performance Assumptions for Modeling Electricity Generation Technologies Rick Tidball, Joel Bluestein, Nick Rodriguez, and Stu Knoke ICF International Fairfax, Virginia NREL Technical Monitor: Jordan Macknick

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


221

Assumptions to the Annual Energy Outlook 2002 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20021 (AEO2002), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2002 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of

222

Assumptions to the Annual Energy Outlook 2001 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Outlook2001 Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20011 (AEO2001), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2001 were produced with the National Energy

223

Assumptions to the Annual Energy Outlook 2000 - Errata  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2000 Assumptions to the Annual Energy Outlook 2000 as of 4/4/2000 1. On table 20 "the fractional fuel efficiency change for 4-Speed Automatic" should be .045 instead of .030. On table 20 "the fractional fuel efficiency change for 5-Speed Automatic" should be .065 instead of .045. (Change made on 3/6/2000) 2. Table 28 should be labeled: "Alternative-Fuel Vehicle Attribute Inputs for Compact Cars for Two Stage Logit Model". (Change made on 3/6/2000) 3. The capital costs in Table 29 should read 1998 dollars not 1988 dollars. (Change made on 3/6/2000) 4. Table 37 changed the label "Year Available" to "First Year Completed." Changed the second sentence of Footnote 1 to read "these estimates are costs of new projects

224

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Key Assumptions Key Assumptions The historical input data used to develop the HEM version for the AEO2000 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2000 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and transportation sectors as inputs to the disaggregation algorithm that results in the direct fuel expenditure analysis. Household end-use and personal transportation service consumption are obtained by HEM from the NEMS Residential and Transportation Demand Modules. Household disposable income is adjusted with forecasts of total disposable income from the NEMS Macroeconomic Activity Module.

225

EIA - Assumptions to the Annual Energy Outlook 2009 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2009 Petroleum Market Module Figure 9., Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. Table 11.1. Petroleum Product Categories. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 11.2. Year Round Gasoline Specifications by Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 11.3. Gasolline Sulfur Content Assumptions, by Region and Gasoline Type, Parts per Million (PPM). Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version

226

Borough of Weatherly, Pennsylvania (Utility Company) | Open Energy  

Open Energy Info (EERE)

Weatherly, Pennsylvania (Utility Company) Weatherly, Pennsylvania (Utility Company) Jump to: navigation, search Name Borough of Weatherly Place Pennsylvania Utility Id 20232 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes RTO PJM Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Large Power and Light Service Commercial Night Light- (175W) Lighting Primary Power and Light Service Commercial Residential Service Residential Small Power and Light Service Commercial Average Rates Residential: $0.1410/kWh Industrial: $0.1210/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

227

EIA - Assumptions to the Annual Energy Outlook 2010 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2010 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2010 [1] (AEO2010), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System The projections in the AEO2010 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The Annual Energy Outlook (AEO) projections are also used by analysts and planners in other government agencies and outside organizations.

228

EIA - Assumptions to the Annual Energy Outlook 2008 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2008 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20081 (AEO2008), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 The National Energy Modeling System The projections in the AEO2008 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The AEO projections are also used by analysts and planners in other government agencies and outside organizations.

229

EIA - Assumptions to the Annual Energy Outlook 2009 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2009 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2009 (AEO2009),1 including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 The National Energy Modeling System The projections in the AEO2009 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The Annual Energy Outlook (AEO) projections are also used by analysts and planners in other government agencies and outside organizations.

230

Not Your Father's Weatherization: Q&A with Contractor Mike Richart |  

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

Not Your Father's Weatherization: Q&A with Contractor Mike Not Your Father's Weatherization: Q&A with Contractor Mike Richart Not Your Father's Weatherization: Q&A with Contractor Mike Richart June 9, 2010 - 10:05am Addthis Mike Richart's company has witnessed a surge in weatherization business in the past year | Photo courtesy of Mike Richart Mike Richart's company has witnessed a surge in weatherization business in the past year | Photo courtesy of Mike Richart Paul Lester Communications Specialist, Office of Energy Efficiency and Renewable Energy What does this mean for me? This Vancouver-based small business -- Richart Family, Inc. -- has hired 25 new workers to meet the higher demand for weatherization work thanks to the Recovery Act. From improvements in technology to increased consumer demand on quality,

231

Satellite Application Facility for Numerical Weather Prediction  

E-Print Network [OSTI]

NWP SAF Satellite Application Facility for Numerical Weather Prediction Document NWPSAF-KN-VS-002 Stoffelen KNMI #12;NWP SAF Satellite Application Facility for Numerical Weather Prediction Report of the EUMETSAT Satellite Application Facility on Numerical Weather Prediction (NWP SAF), under the Cooperation

Stoffelen, Ad

232

ORIGINAL PAPER Coupled weather research and forecastingstochastic  

E-Print Network [OSTI]

ORIGINAL PAPER Coupled weather research and forecastingïżœstochastic time-inverted lagrangian numerical weather prediction model, the Weather Research and Forecasting (WRF) model, and a Lagrangian for a wide range of applications, including inverse flux estimates, flight plan- ning, satellite validation

Lin, John Chun-Han

233

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network [OSTI]

. Satellite images and Numerical Weather Prediction (NWP) models are used together with the synoptic surfaceAmending Numerical Weather Prediction forecasts using GPS Integrated Water Vapour: a case study to validate the amounts of humidity in Numerical Weather Prediction (NWP) model forecasts. This paper presents

Stoffelen, Ad

234

NOAA Center for Weather and Climate Prediction NOAA Center for Weather and  

E-Print Network [OSTI]

Prediction, Satellite and Information Service and Air Resources Laboratory. The National Weather ServiceNOAA Center for Weather and Climate Prediction NOAA Center for Weather and Climate Prediction The NOAA Center for Weather and Climate Prediction in College Park,Md., houses dedicated scientists who

235

Evaluation of artificially-weathered standard fuel oil toxicity by marine invertebrate embryogenesis bioassays  

Science Journals Connector (OSTI)

Weathering of petroleum spilled in the marine environment may not only change its physical and chemical properties but also its effects on the marine ecosystem. The objective of this study was to evaluate the toxicity of the water-accommodated fraction (WAF) obtained from a standard fuel oil following an environmentally realistic simulated weathering process for a period of 80 d. Experimental flasks with 40 g L?1 of fuel oil were incubated at 18 °C with a 14 h light:10 h dark photoperiod and a photosynthetically active radiation (PAR) intensity of 70 ?E m?2 s?1. Samples were taken at four weathering periods: 24 h, 7, 21 and 80 d. WAF toxicity was tested using the sea urchin (Paracentrotus lividus) and mussel (Mytilus galloprovincialis) embryo–larval bioassays and the aromatic hydrocarbons levels (AH) in the WAF were measured by gas chromatography/mass spectrometry. In contrast with the classic assumption of toxicity decrease with oil weathering, the present study shows a progressive increase in WAF toxicity with weathering, being the EC50 after 80 d eightfold lower than the EC50 at day 1, whereas AH concentration slightly decreased. In the long term, inoculation of WAF with bacteria from a hydrocarbon chronically-polluted harbor slightly reduced toxicity. The differences in toxicity between fresh and weathered fuels could not be explained on the basis of the total AH content and the formation of oxidized derivatives is suggested to explain this toxicity increase.

Juan Bellas; Liliana Saco-Álvarez; Óscar Nieto; Josep María Bayona; Joan Albaigés; Ricardo Beiras

2013-01-01T23:59:59.000Z

236

Price vs. weather shock hedging for cash crops: ex ante evaluation for cotton  

E-Print Network [OSTI]

Price vs. weather shock hedging for cash crops: ex ante evaluation for cotton producers in Cameroon, we assess the risk mitigation capac- ity of weather index-based insurance for cotton farmers. We. Second, in accordance with the existing agronomical literature we find that the length of the cotton

Paris-Sud XI, Université de

237

Applications of Copulas to Analysis of Efficiency of Weather Derivatives as Primary Crop Insurance Instruments  

E-Print Network [OSTI]

insurance. It is also a matter of common knowledge that weather is an important production factor and at the same time one of the greatest sources of risk in agriculture. Hence introduction of crop insurance contracts, based on weather indexes, might be a...

Filonov, Vitaly

2012-10-19T23:59:59.000Z

238

Climate, weather and landscape effects on landbird survival and reproductive success in Texas  

E-Print Network [OSTI]

Climate, weather and landscape effects on landbird survival and reproductive success in Texas trade. Recent studies have also shown that seasonal weather conditions can dramatically affect adult and landscape metrics based upon coverages provided by 30-m resolution National Land Cover Data (NLCD 2000, Bara

DeSante, David F.

239

Operational Monitoring of Weather Radar Receiving Chain Using the Sun IWAN HOLLEMAN  

E-Print Network [OSTI]

Operational Monitoring of Weather Radar Receiving Chain Using the Sun IWAN HOLLEMAN Royal, is presented. The ``online'' method is entirely based on the analysis of sun signals in the polar volume data- termining the weather radar antenna pointing at low elevations using sun signals, and it is suited

Stoffelen, Ad

240

The Dynamics of Deterministic Chaos in Numerical Weather Prediction Models  

E-Print Network [OSTI]

Atmospheric weather systems are coherent structures consisting of discrete cloud cells forming patterns of rows/streets, mesoscale clusters and spiral bands which maintain their identity for the duration of their appreciable life times in the turbulent shear flow of the planetary Atmospheric Boundary Layer. The existence of coherent structures (seemingly systematic motion) in turbulent flows has been well established during the last 20 years of research in turbulence. Numerical weather prediction models based on the inherently non-linear Navier-Stokes equations do not give realistic forecasts because of the following inherent limitations: (1) the non-linear governing equations for atmospheric flows do not have exact analytic solutions and being sensitive to initial conditions give chaotic solutions characteristic of deterministic chaos (2) the governing equations do not incorporate the dynamical interactions and co-existence of the complete spectrum of turbulent fluctuations which form an integral part of the large coherent weather systems (3) limitations of available computer capacity necessitates severe truncation of the governing equations, thereby generating errors of approximations (4) the computer precision related roundoff errors magnify the earlier mentioned uncertainties exponentially with time and the model predictions become unrealistic. The accurate modelling of weather phenomena therefore requires alternative concepts and computational techniques. In this paper a universal theory of deterministic chaos applicable to the formation of coherent weather structures in the ABL is presented.

A. Mary Selvam

2003-10-07T23:59:59.000Z

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


241

Home Weatherization Visit | Department of Energy  

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

Weatherization Visit Weatherization Visit Home Weatherization Visit Addthis Description Secretary Steven Chu visits a home that is in the process of being weatherized in Columbus, OH, along with Ohio Governor Ted Strickland and Columbus Mayor Michael Coleman. They discuss the benefits of weatherization and how funding from the recovery act is having a direct impact in communities across America. Speakers Secretary Steven Chu Duration 2:45 Topic Tax Credits, Rebates, Savings Home Weatherization Home Energy Audits Energy Sector Jobs Credit Energy Department Video SECRETARY OF ENERGY STEVEN CHU: In this weatherization program, we are - we're investing money that - so we can hire local people to do the work. You save the money. That money then goes back into the economy locally. And oh, by the way, you're not - using less energy, so that

242

Ohio Celebrates Recovery Act Weatherization Program Performance |  

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

Ohio Celebrates Recovery Act Weatherization Program Performance Ohio Celebrates Recovery Act Weatherization Program Performance Ohio Celebrates Recovery Act Weatherization Program Performance June 10, 2010 - 12:41pm Addthis Ohio Celebrates Recovery Act Weatherization Program Performance Joshua DeLung What are the key facts? More than 10,000 Ohio homes have been weatherized, making the state one of the national leaders in helping income-eligible families become more energy-efficient. Ohio has reached a milestone in the clean energy economy - more than 10,000 homes in the state have been weatherized, making the state one of the national leaders in helping income-eligible families become more energy-efficient. Ohio officials celebrated the success of weatherization work funded by the American Recovery and Reinvestment Act with about 100 attendees at a

243

Ohio Celebrates Recovery Act Weatherization Program Performance |  

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

Ohio Celebrates Recovery Act Weatherization Program Performance Ohio Celebrates Recovery Act Weatherization Program Performance Ohio Celebrates Recovery Act Weatherization Program Performance June 10, 2010 - 12:41pm Addthis Ohio Celebrates Recovery Act Weatherization Program Performance Joshua DeLung What are the key facts? More than 10,000 Ohio homes have been weatherized, making the state one of the national leaders in helping income-eligible families become more energy-efficient. Ohio has reached a milestone in the clean energy economy - more than 10,000 homes in the state have been weatherized, making the state one of the national leaders in helping income-eligible families become more energy-efficient. Ohio officials celebrated the success of weatherization work funded by the American Recovery and Reinvestment Act with about 100 attendees at a

244

Weather and the Transport of Hazardous Materials  

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

FHWA FHWA R d W h M P FHWA R d W h M P FHWA Road Weather Management Program FHWA Road Weather Management Program " "Weather and the transport of Hazardous Materials" Ray Murphy Office of Technical Services Ray Murphy, Office of Technical Services U.S. DOT - Federal Highway Administration Breako t Session Using Technolog to Dispatch U.S. DOE National Transportation Stakeholder Forum Breakout Session: Using Technology to Dispatch and Monitor Shipments During Adverse Conditions Presentation Contents Presentation Contents * * Context Context Cl Cl I iti ti I iti ti * * Clarus Clarus Initiative Initiative * * Connected Vehicles & Weather Connected Vehicles & Weather Connected Vehicles & Weather Connected Vehicles & Weather U.S. DOE National Transportation Stakeholder Forum

245

Weatherizing Wilkes-Barre | Department of Energy  

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

Weatherizing Wilkes-Barre Weatherizing Wilkes-Barre Weatherizing Wilkes-Barre Addthis Description Ride along with some weatherizers in Wilkes-Barre, PA, as they blower door test, manage z-doors, and dense pack their way to an energy efficient future one house at a time. Speakers Joe Calore, Paul Dunn, Glenn Curtis Duration 2:29 Topic Heating & Cooling Home Weatherization Consumption Recovery Act Energy Sector Jobs Credit Energy Department Video JOE CALORE: My name's Joe Calore. I'm the deputy weatherization director for Commission on Economic Opportunity in Wilkes-Barre, Pennsylvania. Weatherization is a program funded by the U.S. Department of Energy, and the concept is to perform work on homes to make homes more energy-efficient. Of the Recovery Act money, $5 billion was allocated towards the

246

Assumptions to the Annual Energy Outlook - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumption to the Annual Energy Outlook Petroleum Market Module Figure 8. Petroleum Administration for Defense Districts. Having problems, call our National Energy Information Center at 202-586-8800 for help. The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohols, ethers, and bioesters natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of U.S. refining

247

Assumptions to the Annual Energy Outlook - Household Expenditures Module  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module Assumption to the Annual Energy Outlook Household Expenditures Module Figure 5. United States Census Divisions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division (see

248

Diversion assumptions for high-powered research reactors  

SciTech Connect (OSTI)

This study deals with diversion assumptions for high-powered research reactors -- specifically, MTR fuel; pool- or tank-type research reactors with light-water moderator; and water, beryllium, or graphite reflectors, and which have a power level of 25 MW(t) or more. The objective is to provide assistance to the IAEA in documentation of criteria and inspection observables related to undeclared plutonium production in the reactors described above, including: criteria for undeclared plutonium production, necessary design information for implementation of these criteria, verification guidelines including neutron physics and heat transfer, and safeguards measures to facilitate the detection of undeclared plutonium production at large research reactors.

Binford, F.T.

1984-01-01T23:59:59.000Z

249

Training Program Graduates Weatherization-Ready Workers | Department of  

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

Training Program Graduates Weatherization-Ready Workers Training Program Graduates Weatherization-Ready Workers Training Program Graduates Weatherization-Ready Workers April 29, 2010 - 5:45pm Addthis Daniel Tello demonstrates how to prepare an attic space for insulation using skills learned from the First Choice Program. | Photo courtesy of HCDC, Human Capital Development Corp., Inc. and Scott Anderson Daniel Tello demonstrates how to prepare an attic space for insulation using skills learned from the First Choice Program. | Photo courtesy of HCDC, Human Capital Development Corp., Inc. and Scott Anderson Lindsay Gsell On graduation day, students at Human Capital Development Corp., Inc. (HCDC) leave with more than just a diploma. They receive a hard hat, tool belt, hammer, utility knife and a tape measure. Graduates from Racine, Wis.-based HCDC First Choice Program are literally

250

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20001 (AEO2000), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2000 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers and analysts in the U.S. Congress, the Department of Energy’s Office of Policy, other DOE offices, and other government agencies.

251

Assumptions to the Annual Energy Outlook 1999 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by obtaining market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, (4) the implementation of recent regulatory reform, and (5) the implementation of provisions of the Climate Change Action Plan (CCAP). A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation Report: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, DOE/EIA-MO62/1, January 1999.

252

Assumptions to the Annual Energy Outlook - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumption to the Annual Energy Outlook Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2004, DOE/EIA-M060(2004) (Washington, DC, 2004). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of capacity utilization of mines, mining capacity, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

253

Assumptions to the Annual Energy Outlook 2000 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, (4) the implementation of recent regulatory reform, and (5) the implementation of provisions of the Climate Change Action Plan (CCAP). A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, Model Documentation 2000, DOE/EIA-M062(2000), January 2000.

254

The contour method cutting assumption: error minimization and correction  

SciTech Connect (OSTI)

The recently developed contour method can measure 2-D, cross-sectional residual-stress map. A part is cut in two using a precise and low-stress cutting technique such as electric discharge machining. The contours of the new surfaces created by the cut, which will not be flat if residual stresses are relaxed by the cutting, are then measured and used to calculate the original residual stresses. The precise nature of the assumption about the cut is presented theoretically and is evaluated experimentally. Simply assuming a flat cut is overly restrictive and misleading. The critical assumption is that the width of the cut, when measured in the original, undeformed configuration of the body is constant. Stresses at the cut tip during cutting cause the material to deform, which causes errors. The effect of such cutting errors on the measured stresses is presented. The important parameters are quantified. Experimental procedures for minimizing these errors are presented. An iterative finite element procedure to correct for the errors is also presented. The correction procedure is demonstrated on experimental data from a steel beam that was plastically bent to put in a known profile of residual stresses.

Prime, Michael B [Los Alamos National Laboratory; Kastengren, Alan L [ANL

2010-01-01T23:59:59.000Z

255

Characterization of the Weatherization Assistance Program network. Weatherization Assistance Program  

SciTech Connect (OSTI)

The Characterization of the Weatherization Assistance Program (WAP) Network was designed to describe the national network of State and local agencies that provide WAP services to qualifying low-income households. The objective of this study was to profile the current WAP network. To achieve the objective, two national surveys were conducted: one survey collected data from 49 State WAP agencies (including the coterminous 48 States and the District of Columbia), and the second survey collected data from 920 (or 81 percent) of the local WAP agencies.

Mihlmester, P.E.; Koehler, W.C. Jr.; Beyer, M.A. [Aspen Systems Corp., Oak Ridge, TN (United States). Applied Management Sciences Div.; Brown, M.A. [Oak Ridge National Lab., TN (United States); Beschen, D.A. Jr. [Department of Energy, Washington, DC (United States). Office of Weatherization Assistance Programs

1992-02-01T23:59:59.000Z

256

EIA-Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2007 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2007, DOE/EIA- M068(2007). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

257

Assumptions to the Annual Energy Outlook 1999 - Table 1  

Gasoline and Diesel Fuel Update (EIA)

Summary of AEO99 Cases Summary of AEO99 Cases Case Name Description Integration mode Reference Baseline economic growth, world oil price, and technology assumptions Fully Integrated Low Economic Growth Gross Domestic product grows at an average annual rate of 1.5 percent, compared to the reference case growth of 2.1 percent. Fully Integrated High Economic Growth Gross domestic product grows at an average annual rate of 2.6 percent, compared to the reference case growth of 2.1 percent. Fully Integrated Low World Oil Price World oil prices are $14.57 per barrel in 2020, compared to $22.73 per barrel in the reference case. Partially Integrated High World Oil Price World oil prices are $29.35 per barrel in 2020, compared to $22.73 per barrel in the reference case. Partially Integrated Residential: 1999 Technology

258

EIA - Assumptions to the Annual Energy Outlook 2008 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2008 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

259

Assumptions to the Annual Energy Outlook - Transportation Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumption to the Annual Energy Outlook Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, sport utility vehicles and vans), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

260

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS27 data.

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


261

EIA - Assumptions to the Annual Energy Outlook 2008 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2008 Petroleum Market Module Figure 9. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, bioesters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining

262

EIA-Assumptions to the Annual Energy Outlook - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2007 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2007), (Washington, DC, January 2007).

263

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2006 The International Energy Module determines changes in the world oil price and the supply prices of crude oils and petroleum products for import to the United States in response to changes in U.S. import requirements. A market clearing method is used to determine the price at which worldwide demand for oil is equal to the worldwide supply. The module determines new values for oil production and demand for regions outside the United States, along with a new world oil price that balances supply and demand in the international oil market. A detailed description of the International Energy Module is provided in the EIA publication, Model Documentation Report: The International Energy Module of the National Energy Modeling System, DOE/EIA-M071(06), (Washington, DC, February 2006).

264

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7 7 1 (AEO2007), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant to formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports. 2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview 3 , which is updated once every few years. The National Energy Modeling System The projections in the AEO2007 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and

265

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption isthe sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

266

EIA - Assumptions to the Annual Energy Outlook 2008 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2008 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

267

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2010 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Document>ation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2009), (Washington, DC, January 2009).

268

EIA - Assumptions to the Annual Energy Outlook 2010 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2010 International Energy Module Figure 2. World Oil Prices in Three Cases, 1995-2035 Figure 2. World Oil Prices in three Cases, 1995-2035 (2008 dollars per barrel). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 3. OPEC Total Liquids Production in the Reference Case, 1980-2035 Figure 3. OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1980-2035 Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800.

269

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Completed Copy in PDF Format Completed Copy in PDF Format Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Household Expenditures Module Key Assumptions The historical input data used to develop the HEM version for the AEO2001 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2001 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and

270

Assumptions to the Annual Energy Outlook 1999 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

coal.gif (4423 bytes) coal.gif (4423 bytes) The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Model Documentation: Coal Market Module of the National Energy Modeling System, DOE/EIA-MO60. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of coal production, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

271

Assumptions to the Annual Energy Outlook 2001 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2001, DOE/EIA-M060(2001) January 2001. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves

272

EIA - Assumptions to the Annual Energy Outlook 2009 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2009 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

273

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7), 7), (Washington, DC, January 2007). Key Assumptions The output of the U.S. economy, measured by GDP, is expected to increase by 2.9 percent between 2005 and 2030 in the reference case. Two key factors help explain the growth in GDP: the growth rate of nonfarm employment and the rate of productivity change associated with employment. As Table 3 indicates, for the Reference Case GDP growth slows down in each of the periods identified, from 3.0 percent between 2005 and 2010, to 2.9 percent between 2010 and 2020, to 2.8 percent in the between 2020 and 2030. In the near term from 2005 through 2010, the growth in nonfarm employment is low at 1.2 percent compared with 2.4 percent in the second half of the 1990s, while the economy is expected to experiencing relatively strong

274

EIA - Assumptions to the Annual Energy Outlook 2009 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2009 International Energy Module Figure 2. World Oil Prices in three Cases, 1995-2030 (2006 dollars per barrel). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 3. OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously global and U.S.A. petroleum liquids

275

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.14

276

EIA - Assumptions to the Annual Energy Outlook 2008 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2008 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module projects energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region projection using the SEDS1 data.

277

Assumptions to the Annual Energy Outlook - International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumption to the Annual Energy Outlook International Energy Module Figure 2. World Oil Prices in three Cases, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Figure 3. OPEC Oil Production in the Reference Case, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Figure 4. Non-OPEC Production in the Reference Case, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Table 4. Worldwide Oil Reserves as of January 1, 2002 (Billion Barrels) Printer Friendly Version Region Proved Oil Reserves Western Hemisphere 313.6 Western‘Europe 18.1 Asia-Pacific 38.7

278

Assumptions to the Annual Energy Outlook - Natural Gas Transmission and  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumption to the Annual Energy Outlook Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

279

EIA - Assumptions to the Annual Energy Outlook 2008 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2008 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2007), (Washington, DC, January 2007).

280

Assumptions to the Annual Energy Outlook 2001 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Key Assumptions Macroeconomic Sector Inputs

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281

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2009 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2008), (Washington, DC, January 2008).

282

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7, DOE/EIA-M060(2007) (Washington, 7, DOE/EIA-M060(2007) (Washington, DC, 2007). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

283

EIA - Assumptions to the Annual Energy Outlook 2008 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2008 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

284

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2006 Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2006), (Washington, DC, 2006). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

285

EIA - Assumptions to the Annual Energy Outlook 2009 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

286

EIA - Assumptions to the Annual Energy Outlook 2009 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2009 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight, rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

287

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

clothes drying, ceiling fans, coffee makers, spas, home security clothes drying, ceiling fans, coffee makers, spas, home security systems, microwave ovens, set-top boxes, home audio equipment, rechargeable electronics, and VCR/DVDs. In addition to the major equipment-driven end-uses, the average energy consumption per household is projected for other electric and nonelectric appliances. The module's output includes number Energy Information Administration/Assumptions to the Annual Energy Outlook 2007 19 Pacific East South Central South Atlantic Middle Atlantic New England West South Central West North Central East North Central Mountain AK WA MT WY ID NV UT CO AZ NM TX OK IA KS MO IL IN KY TN MS AL FL GA SC NC WV PA NJ MD DE NY CT VT ME RI MA NH VA WI MI OH NE SD MN ND AR LA OR CA HI Middle Atlantic New England East North Central West North Central Pacific West South Central East South Central

288

EIA - Assumptions to the Annual Energy Outlook 2009 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2009 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind1. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy.

289

EIA - Assumptions to the Annual Energy Outlook 2010 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services [1].

290

Assumptions to the Annual Energy Outlook 1999 - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

petroleum.gif (4999 bytes) petroleum.gif (4999 bytes) The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below. 75

291

EIA - Assumptions to the Annual Energy Outlook 2010 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2010 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and

292

EIA - Assumptions to the Annual Energy Outlook 2010 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2010 Petroleum Market Module The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, bioesters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. Figure 9. Petroleum Administration for Defense Districts. The PMM contains a linear programming (LP) representation of U.S. refining activities in the five Petroleum Area Defense Districts (PADDs) (Figure 9),

293

EIA - Assumptions to the Annual Energy Outlook 2009 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2009 Industrial Demand Module Table 6.1. Industry Categories. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 6.2.Retirement Rates. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process flow or end use accounting

294

Assumptions to the Annual Energy Outlook 2002 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2002, DOE/EIA-M060(2002) (Washington, DC, January 2002). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves

295

Maine's Weatherization Milestones | Department of Energy  

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

Maine's Weatherization Milestones Maine's Weatherization Milestones Maine's Weatherization Milestones August 24, 2010 - 5:44pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs What does this mean for me? Thanks to $41.9 million in funding from the Recovery Act, the state of Maine expects to weatherize more than 4,400 homes Maine's state motto - "dirigo," Latin for "I lead," - is very fitting, especially when it comes to weatherization. With the help of nearly $41.9 million in funding from the Recovery Act, the state expects to weatherize more than 4,400 homes - creating jobs, reducing carbon emissions, and saving money for Maine's low-income families. Cathy Zoi, DOE's Assistant Secretary for Energy Efficiency and Renewable Energy and Maine's Governor John Baldacci spoke on a conference call last

296

The Impact of Weatherization | Department of Energy  

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

The Impact of Weatherization The Impact of Weatherization The Impact of Weatherization July 26, 2010 - 4:09pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs What does this mean for me? 25,000 homes weatherized a month. 82,000 homes this summer versus 3,000 last summer. As I mentioned last week, it's brutally hot outside right now. Temperature records are being shattered all across the country - and while we're always looking for ways to keep cool, weatherization is one process that guards a home against extreme temperatures on both ends of the thermometer. Whether it's installing cooling systems in areas of the country that can't catch a break from the heat, or caulking and insulating cracks in states where harsh winters seem almost endless, weatherizing your home can save more than $400 in the first year on heating

297

Celebrating National Weatherization Day | Department of Energy  

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

Weatherization Day Weatherization Day Celebrating National Weatherization Day November 1, 2010 - 1:55pm Addthis Watch the video above to get a firsthand look at the work happening in Wilkes-Barre, Pennsylvania under the weatherization program. Secretary Chu Secretary Chu Former Secretary of Energy This weekend, communities across the country celebrated National Weatherization Day, highlighting the important work happening nationwide to save money for America's homeowners by investing in energy efficiency. As a result of the Recovery Act weatherization program, more than 245,000 low-income families have had their homes upgraded, which means these families are paying lower energy bills every month. The program has also helped to put thousands of workers on the job every day, helping to grow

298

Little Climates -- Weather Just Above The Ground  

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

Weather Just Above The Ground Weather Just Above The Ground Nature Bulletin No. 481-A February 17, 1973 Forest Preserve District of Cook County George W, Dunne, President Roland F. Eisenbeis, Supt. of Conservation LITTLE CLIMATES -- Weather Just Above the Ground In a previous bulletin we talked about little climates, underground, resulting from weather conditions in the soil. Just above the ground there is another "little climate" equally important. We frequently see evidences of it without realizing how and why they were produced. Just above the earth, there lies a narrow layer of changeable weather that is affected at both surfaces by its mighty neighbors: the land below and the restless air in the atmosphere above it. Under the spell of gravity, it clings to the ground in spite of all but the swiftest winds. In this layer there are special weather conditions overlooked by nearly everyone.

299

Maine's Weatherization Milestones | Department of Energy  

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

Maine's Weatherization Milestones Maine's Weatherization Milestones Maine's Weatherization Milestones August 24, 2010 - 5:44pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs What does this mean for me? Thanks to $41.9 million in funding from the Recovery Act, the state of Maine expects to weatherize more than 4,400 homes Maine's state motto - "dirigo," Latin for "I lead," - is very fitting, especially when it comes to weatherization. With the help of nearly $41.9 million in funding from the Recovery Act, the state expects to weatherize more than 4,400 homes - creating jobs, reducing carbon emissions, and saving money for Maine's low-income families. Cathy Zoi, DOE's Assistant Secretary for Energy Efficiency and Renewable Energy and Maine's Governor John Baldacci spoke on a conference call last

300

The Impact of Weatherization | Department of Energy  

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

The Impact of Weatherization The Impact of Weatherization The Impact of Weatherization July 26, 2010 - 4:09pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs What does this mean for me? 25,000 homes weatherized a month. 82,000 homes this summer versus 3,000 last summer. As I mentioned last week, it's brutally hot outside right now. Temperature records are being shattered all across the country - and while we're always looking for ways to keep cool, weatherization is one process that guards a home against extreme temperatures on both ends of the thermometer. Whether it's installing cooling systems in areas of the country that can't catch a break from the heat, or caulking and insulating cracks in states where harsh winters seem almost endless, weatherizing your home can save more than $400 in the first year on heating

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


301

Ultrasonic thickness measurement of weathering steel  

SciTech Connect (OSTI)

The popular and traditional method of measuring thickness over a single time of flight path using the first echo received as the timing mark can make reliable measurements on weathering steel difficult. Multiple-echo measurement is capable of obtaining good, repeatable, and accurate measurements on not only weathering steels but on all metals used extensively today. Corrosion monitoring of weathering steel can be properly carried out provided the measurements taken are reliable.

Cartwright, D.L. [Cygnus Instruments Ltd., Dorchester (United Kingdom)

1995-04-01T23:59:59.000Z

302

Weatherization Assistance Program (WAP) Closeout Frequently Asked...  

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

Program (WAP) Closeout Frequently Asked Questions Weatherization Assistance Program (WAP) Closeout Frequently Asked Questions This document provides a list of frequently asked...

303

What is Weatherization | Department of Energy  

Energy Savers [EERE]

measures that encompass the building envelope, its heating and cooling systems, its electrical system, and electricity consuming appliances. The benefits of weatherization begin...

304

Explore Careers in Weatherization | Department of Energy  

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

technical training resources and set the bar for new training resource development, DOE developed the WAP Standardized Training Curricula on the Weatherization Assistance...

305

Where to Apply for Weatherization Assistance  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy (DOE) does not provide weatherization services or services of any kind to individuals. The application process is handled by each state.

306

Chelan County PUD- Residential Weatherization Rebate Program  

Broader source: Energy.gov [DOE]

Chelan County PUD offers cash rebates to residential customers who make energy efficient weatherization improvements to eligible homes. Eligible measures include efficient windows doors as well as...

307

Climate and weather satellites going blind  

Science Journals Connector (OSTI)

By 2020, three-quarters of the US satellites used to monitor Earth's weather and climate could be out of action

2012-01-01T23:59:59.000Z

308

Idaho Falls Power- Residential Weatherization Loan Program  

Broader source: Energy.gov [DOE]

Residential customers with permanently installed electric heat who receive service from the City of Idaho Falls, are eligible for 0% weatherization loans. City Energy Service will conduct an...

309

Weatherization Assistance Program Goals and Metrics  

Broader source: Energy.gov [DOE]

The Weatherization Assistance Program (WAP) regularly reviews the work of state and grant recipients for effectiveness and for meeting program goals.

310

Weatherization Formula Grants - American Recovery and Reinvestment...  

Energy Savers [EERE]

Act of 2009 waprecoveryactfoa.pdf More Documents & Publications Microsoft Word - nDE-FOA-0000051.rtf Weatherization Formula Grants - American Recovery and Reinvestment Act...

311

Weatherization is a Winning Play for Wisconsin: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Wisconsin demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

312

Weatherization Grows in the Green Mountain State (Vermont): Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Vermont demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

313

Weatherization Makes Headlines in Connecticut: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Connecticut demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

314

Frosty Conditions Catalyze Weatherization Solutions: Maine Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Maine demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

315

New York Signals Weatherization Savings: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

New York demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

316

Weatherization: Wyoming's Hidden Resource; Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Wyoming demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

317

Massachusetts Fosters the Weatherization Spirit: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Massachusetts demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

318

Weatherization Expands Access to Energy Savings (New Hampshire): Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

New Hampshire demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

319

Weatherization: A Savvy Investment for Louisiana: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Louisiana demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

320

Weatherization Builds on Delaware's Innovative Past: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Delaware demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

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


321

Weatherization is a Hit in Michigan: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Michigan demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

322

The Spirit of North Dakota: Alive in Weatherization; Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

North Dakota demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

323

Weatherization Savings Peak in Alaska: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Alaska demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

324

Weatherization is a Sure Bet for Nevada: Weatherization Assistance Close-Up Fact Sheet.  

SciTech Connect (OSTI)

Nevada demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

325

Weatherization in Arkansas: A Gem of a Program: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Arkansas demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

326

Weatherization: A Grand Program for Arizona: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Arizona demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

327

Weatherization Makes a Big Impact in Texas: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Texas demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

328

Weatherization Shines in California: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

California demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

329

Making Paradise More Affordable with Weatherization: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Hawaii demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

330

A Tribute to Weatherization Solutions in South Dakota: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

South Dakota demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

331

Weatherization Rises to the Top in Kansas: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Kansas demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

332

Weatherization Radiates Energy Savings in Florida: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Florida demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

333

Weatherization Spans the Efficiency Spectrum in Illinois: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Illinois demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

334

Taking Weatherization to New Heights in Colorado: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Colorado demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

335

Weatherization: A Gateway to Energy Efficiency; Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Missouri demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

336

Weatherization Savings Takes Root in New Mexico: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

New Mexico demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

337

The Garden State Flourishes with Weatherization (New Jersey): Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

New Jersey demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

338

Weatherization is a Natural Choice for Montana: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Montana demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

339

Weatherization Keeps Washington Green: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Washington demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

340

Weatherization Creates Spectacular Savings in Utah: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Utah demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

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


341

Weatherization Sails on Maryland's Legacy of Innovation: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Maryland demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

342

Weatherization Plays a Starring Role in Mississippi: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Mississippi demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

343

Energy Challenge Two: The WeatherizeDC Campaign | Department of Energy  

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

Energy Challenge Two: The WeatherizeDC Campaign Energy Challenge Two: The WeatherizeDC Campaign Energy Challenge Two: The WeatherizeDC Campaign June 14, 2010 - 9:15am Addthis John Lippert In my quest to learn what other local groups are doing to help the environment and hopefully avoid reinventing the wheel, I attended a meeting of the Greenbelt Climate Action Network, a local chapter of the grassroots, nonprofit organization Chesapeake Climate Action Network. There I met two WeatherizeDC field organizers who described the work they are doing. Terrance and Heather explained that WeatherizeDC is a campaign of The DC Project, a nonprofit based in Washington, D.C., founded by former leaders of the Obama for America campaign around a mission to advance economic and environmental justice by creating clean energy career opportunities for

344

Namur, Belgium -weathering deteriorating slope stability future -Robert Hack 1 WEATHERING DETERIORATING  

E-Print Network [OSTI]

Namur, Belgium - weathering deteriorating slope stability future - Robert Hack 1 WEATHERING DETERIORATING AND SLOPE STABILITY CLASSIFICATION FOR THE FUTURE Namur, Belgium, 12 June 2008 Robert Hack Geo #12;Namur, Belgium - weathering deteriorating slope stability future - Robert Hack 2 Jan van Goyen

Hack, Robert

345

AFFILIATIONS: HULTQUIST--NOAA/National Weather Service, Marquette, Michigan; DUTTER--NOAA/National Weather Service,  

E-Print Network [OSTI]

with modern numerical weather prediction models to provide detailed hindcasts of conditions throughoutAFFILIATIONS: HULTQUIST--NOAA/National Weather Service, Marquette, Michigan; DUTTER--NOAA/National Weather Service, Cleveland, Ohio; SCHWAB--NOAA/Great Lakes Environmental Research Laboratory, Ann Arbor

346

A Climatology of Tornadoes in Europe: Results from the European Severe Weather Database  

Science Journals Connector (OSTI)

A climatology of tornadoes (over land and water) is presented, based on the European Severe Weather Database (ESWD), which contains reports of 9529 tornadoes. With the exception of a few small countries, tornadoes have been reported from all ...

Pieter Groenemeijer; Thilo Kühne

2014-12-01T23:59:59.000Z

347

Weathering rates in catchments calculated by different methods and their relationship to acidic inputs  

Science Journals Connector (OSTI)

The sensitivity of catchments to acidification is often assessed by calculation of weathering rates for comparison of the rates of release of base cations with the measured acidic inputs. Methods of calculatio...

D. C. Bain; S. J. Langan

348

Data management of geostationary communication satellite telemetry and correlation to space weather observations  

E-Print Network [OSTI]

To understand and mitigate the effects of space weather on the performance of geostationary communications satellites, we analyze sixteen years of archived telemetry data from Inmarsat, the UK-based telecommunications ...

Lohmeyer, Whitney Quinne

2013-01-01T23:59:59.000Z

349

Assumptions to the Annual Energy Outlook 2000 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Key Assumptions Macroeconomic Sector Inputs

350

Assumptions to the Annual Energy Outlook 2000 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2000, DOE/EIA-M060(2000) January 2000. The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2000, DOE/EIA-M060(2000) January 2000. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of coal production, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

351

Assumptions to the Annual Energy Outlook 2000 - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below.100

352

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2006, DOE/EIA-M060(2006) (Washington, DC, 2006). Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2006, DOE/EIA-M060(2006) (Washington, DC, 2006). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

353

Assumptions to the Annual Energy Outlook - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumption to the Annual Energy Outlook Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has five submodules representing various renewable energy sources, biomass, geothermal, landfill gas, solar, and wind; a sixth renewable, conventional hydroelectric power, is represented in the Electricity Market Module (EMM).109 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was an original source of electricity generation, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon low-cost energy storage.

354

EIA - Assumptions to the Annual Energy Outlook 2008 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2008 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind1. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost energy storage systems.

355

Winter Demand Impacted by Weather  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: Heating oil demand is strongly influenced by weather. The "normal" numbers are the expected values for winter 2000-2001 used in EIA's Short-Term Energy Outlook. The chart indicates the extent to which the last winter exhibited below-normal heating degree-days (and thus below-normal heating demand). Temperatures were consistently warmer than normal throughout the 1999-2000 heating season. This was particularly true in November 1999, February 2001 and March 2001. For the heating season as a whole (October through March), the 1999-2000 winter yielded total HDDs 10.7% below normal. Normal temperatures this coming winter would, then, be expected to bring about 11% higher heating demand than we saw last year. Relative to normal, the 1999-2000 heating season was the warmest in

356

NATIONAL WEATHER SERVICE - Lightning Safety  

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

NATIONAL WEATHER SERVICE - Lightning Safety Lightning: What You Need to Know * NO PLACE outside is safe when thunderstorms are in the area!! * If you hear thunder, lightning is close enough to strike you. * When you hear thunder, immediately move to safe shelter: a substantial building with electricity or plumbing or an enclosed, metal-topped vehicle with windows up. * Stay in safe shelter at least 30 minutes after you hear the last sound of thunder. Indoor Lightning Safety * Stay off corded phones, computers and other electrical equipment that put you in direct contact with electricity. * Avoid plumbing, including sinks, baths and faucets. * Stay away from windows and doors, and stay off porches. * Do not lie on concrete floors, and do not lean against concrete walls.

357

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network [OSTI]

Multiscale numerical weather prediction model. Progress inassimilating numerical weather prediction model for solarwith numerical weather prediction models. In: Solar Energy

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

358

HISTORY OF WEATHER OBSERVATIONS MOUNT AUBURN, OHIO  

E-Print Network [OSTI]

HISTORY OF WEATHER OBSERVATIONS MOUNT AUBURN, OHIO 1861 - 1881 October 2004 Prepared By Glen Conner Center under the auspices of the Climate Database Modernization Program, NOAA's National Climatic Data;1 HISTORY OF WEATHER OBSERVATIONS MOUNT AUBURN, OHIO 1861-1881 Glen Conner Kentucky State Climatologist

Maynard, J. Barry

359

GPU Acceleration of Numerical Weather John Michalakes  

E-Print Network [OSTI]

GPU Acceleration of Numerical Weather Prediction John Michalakes National Center for Atmospheric parallelism will prove ineffective for many scenarios. We present an alternative method of scaling model Exponentially increasing processor power has fueled fifty years of continuous improvement in weather and climate

Colorado at Boulder, University of

360

Air quality and thermal comfort levels under extreme hot weather  

Science Journals Connector (OSTI)

Abstract Meteorological (T and RH values) and air pollution data (PM10, NO2 and O3 concentrations) observed in Athens, Thessaloniki and Volos were analyzed to assess the air quality and the thermal comfort conditions and to study their synergy, when extreme hot weather prevailed in Greece during the period 2001–2010. The identification of a heat wave day was based on the suggestion made by the IPCC to define an extreme weather event. According to it, a heat wave day is detected when the daily maximum hourly temperature value exceeds its 90th percentile. This temperature criterion was applied to the data recorded at the cities center. Air quality was assessed at three sites in Athens (city center, near the city center, suburb), at two sites in Thessaloniki (city center, suburb) and at one site in Volos (city center), while thermal comfort conditions were assessed at the cities center. Mean pollution levels during the heat wave days and the non-heat wave days were calculated in order to examine the impact of the extreme hot weather on air quality. For this purpose, the distributions of the common air quality index and the exceedances of the air quality standards in force during the heat wave days and the non-heat wave days were also studied. Additionally, the variation of the daily maximum hourly value of Thom's discomfort index was studied in order to investigate the effect of extreme hot weather on people's thermal comfort. Moreover, the values of the common air quality index and Thom's discomfort index were comparatively assessed so as to investigate their synergy under extreme hot weather.

D.K. Papanastasiou; D. Melas; H.D. Kambezidis

2015-01-01T23:59:59.000Z

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


361

On the self-similarity assumption in dynamic models for large eddy simulations  

E-Print Network [OSTI]

that the present formulation of the DP is usually incompatible with its under- lying self-similarity assumption SSAOn the self-similarity assumption in dynamic models for large eddy simulations Daniele Carati eddy simulations and their underlying self-similarity assumption is discussed. The interpretation

Van Den Eijnden, Eric

362

Appendix K - GPRA06 Weatherization and Intergovernmental Program...  

Energy Savers [EERE]

Appendix K - GPRA06 Weatherization and Intergovernmental Program (WIP) Documentation Appendix K - GPRA06 Weatherization and Intergovernmental Program (WIP) Documentation State...

363

WEATHERIZATION PROGRAM NOTICE 10-10: REPROGRAMMING TRAINING AND...  

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

WEATHERIZATION PROGRAM NOTICE 10-10: REPROGRAMMING TRAINING AND TECHNICAL ASSISTANCE FUNDS TO PROGRAM OPERATIONS WEATHERIZATION PROGRAM NOTICE 10-10: REPROGRAMMING TRAINING AND...

364

Revised Davis-Bacon Wage Determinations for the Weatherization...  

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

Revised Davis-Bacon Wage Determinations for the Weatherization Assistance Program Revised Davis-Bacon Wage Determinations for the Weatherization Assistance Program U.S. Department...

365

CLOSEOUT PROCEDURES FOR RECOVERY ACT GRANTS UNDER THE WEATHERIZATION...  

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

CLOSEOUT PROCEDURES FOR RECOVERY ACT GRANTS UNDER THE WEATHERIZATION ASSISTANCE PROGRAM CLOSEOUT PROCEDURES FOR RECOVERY ACT GRANTS UNDER THE WEATHERIZATION ASSISTANCE PROGRAM This...

366

Princeton and PPPL launch center to study volatile space weather...  

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

that constantly stream from the sun - and gives rise to space weather that can disrupt cell phone service, damage satellites and knock out power grids. Such stormy weather...

367

Changing Weather and Climate in the Great Lakes Region | Department...  

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

covering Great Lakes weather, observed changes in the climate, and societal impacts of climate change. Along with sharing our passion for weather and climate, we'll convey...

368

Homes Weatherized by State for Calendar Year 2009 | Department...  

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

for Calendar Year 2009 Homes Weatherized by State for Calendar Year 2009 HomesWeatherizedByStateDec2009.pdf More Documents & Publications TOTALARRAHomesWeatherizedthruQ32...

369

Test Procedure for UV Weathering Resistance of Backsheet | Department...  

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

Test Procedure for UV Weathering Resistance of Backsheet Test Procedure for UV Weathering Resistance of Backsheet Presented at the PV Module Reliability Workshop, February 26 - 27...

370

Connecticut’s Health Impact Study Rapidly Increasing Weatherization Efforts  

Broader source: Energy.gov [DOE]

The Energy Department’s Weatherization Assistance Program is helping Connecticut reach its weatherization targets by supporting the development and release of the Health Impact Assessment.

371

Climate analysis with satellite versus weather station data  

Science Journals Connector (OSTI)

This paper compares how well satellite versus weather station measurements of climate predict agricultural performance ... , India, and the United States. Although weather stations give accurate measures of groun...

Robert Mendelsohn; Pradeep Kurukulasuriya; Alan Basist; Felix Kogan…

2007-03-01T23:59:59.000Z

372

DOE Announces $29 Million in Recovery Act Awards for Weatherization...  

Office of Environmental Management (EM)

expand weatherization training centers across the country. These projects will provide green job training for local workers in energy efficiency retrofitting and weatherization...

373

EIA-Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2007 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new

374

New Weatherization Training Center Opens in Utah | Department of Energy  

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

New Weatherization Training Center Opens in Utah New Weatherization Training Center Opens in Utah New Weatherization Training Center Opens in Utah May 25, 2010 - 6:32pm Addthis The Utah weatherization assistance program built a new demonstration house to train weatherization workers. The Intermountain Weatherization Training Center is located in a warehouse in Clearfield, Utah. | Photo courtesy of Intermountain Weatherization Training Center The Utah weatherization assistance program built a new demonstration house to train weatherization workers. The Intermountain Weatherization Training Center is located in a warehouse in Clearfield, Utah. | Photo courtesy of Intermountain Weatherization Training Center Stephen Graff Former Writer & editor for Energy Empowers, EERE Most warehouses are filled with items such as equipment, boxes and food.

375

Procedures for the Integration of Complete Year Texas Weather Data Files for eCalc-Emissions Reduction Calculator  

E-Print Network [OSTI]

for the weather normalization needed to a base year for EE/RE projects. This paper describes the procedures that have been followed to assemble annual files of hourly weather data that are required to assess the emission reductions due to the electricity savings...

Yazdani, B.; Haberl, J. S.; Baltazar-Cervantes, J. C.; Culp, C.; Gilman, D.

2007-01-01T23:59:59.000Z

376

NWSPD 60-1 JUNE 8, 2005 Department of Commerce $ National Oceanic & Atmospheric Administration $ National Weather Service  

E-Print Network [OSTI]

$ National Weather Service NATIONAL WEATHER SERVICE POLICY DIRECTIVE 60-1 June 8, 2005 Information Technology Wide Web presentation tools and technologies, where applicable, to ensure timely and cost effective with Technical standards 1194.22 (Web-based intranet and internet information and applications) of Section 508

377

Internal Fissuring of Wheat due to Weathering  

Science Journals Connector (OSTI)

... . Weathered grain loses this sheen and colour, and the kernels present a faded and roughened appearance. This condition is known to be caused by wetting of the mature grain ...

MAX MILNER; J. A. SHELLENBERGER; M. R. LEE; ROBERT KATZ

1952-09-27T23:59:59.000Z

378

The Weatherization Training program at Pennsylvania College  

ScienceCinema (OSTI)

A look into some of the remarkable work being done in the Weatherization Training program at Pennsylvania College. Penn College's program has served as the model for six other training centers in Pennsylvania alone.

Meville, Jeff; Wilson, Jack; Manz, John; Gannett, Kirk; Smith, Franzennia;

2013-05-29T23:59:59.000Z

379

The Weatherization Training program at Pennsylvania College  

SciTech Connect (OSTI)

A look into some of the remarkable work being done in the Weatherization Training program at Pennsylvania College. Penn College's program has served as the model for six other training centers in Pennsylvania alone.

Meville, Jeff; Wilson, Jack; Manz, John; Gannett, Kirk; Smith, Franzennia

2010-01-01T23:59:59.000Z

380

Information Flow in Ensemble Weather Predictions  

Science Journals Connector (OSTI)

In a weather prediction, information flows from the initial conditions to a later prediction. The uncertainty in the initial conditions implies that such a flow should be quantified with tools from probability theory. Using several recent ...

Richard Kleeman

2007-03-01T23:59:59.000Z

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


381

Weatherization and Intergovernmental Program Success Stories  

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

field-type-text-with-summary field-label-hidden">

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

382

Distributed Numerical Weather Prediction via Satellite  

Science Journals Connector (OSTI)

This paper describes a recent undertaking in distributed numerical weather prediction via high data rate networks. The governing project involved the operation of a coupled mesoscale modeling system on widely separated supercomputers, and ...

Jordan G. Powers; Mark T. Stoelinga; William S. Boyd

1997-12-01T23:59:59.000Z

383

Attitude Control for the TIROS Weather Satellites  

Science Journals Connector (OSTI)

The paper describes the evolution of attitude control techniques within the framework of the TIROS weather satellite program, starting in about 1958, which ... particularly simple stabilization system used in the...

Warren P. Manger

1966-01-01T23:59:59.000Z

384

An Airborne APT Weather Satellite Imaging System  

Science Journals Connector (OSTI)

This paper describes the development of a novel airborne system that receives a real-time imagery broadcast in the Automatic Picture Transmission (APT) format from polar-orbiting weather satellites. The availability of such real-time imagery ...

James E. Jordan; David L. Marcotte; G. W. K. Moore

1998-02-01T23:59:59.000Z

385

Weatherization Assistance Program Quality Work Plan Requirements  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy's Weatherization Assistance Program (WAP) has introduced a comprehensive Quality Work Plan (QWP) that will establish a benchmark for quality home energy upgrades. This plan defines what is required when federal dollars are used to purchase weatherization services and leverages the resources developed through the Guidelines for Home Energy Professionals project. Below you will find links to QWP guidance, as well as links to the individual requirements.

386

ERCOT's Weather Sensitive Demand Response Pilot  

E-Print Network [OSTI]

ERCOT’s Weather Sensitive Demand Response Pilot CATEE 12-17-13 ESL-KT-13-12-21 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Disclaimer The information contained in this report has been obtained from... Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Weather Sensitive Loads Pilot CATEE 121313 - Tim Carter 713-646-5476 tim.carter@constellation.com4 Constellation's Integrated Power Products © 2013. Constellation Energy Resources, LLC...

Carter, T.

2013-01-01T23:59:59.000Z

387

Calibrating DOE-2 to weather and non-weather-dependent loads for a commercial building  

E-Print Network [OSTI]

CALIBRATING DOE-2 TO WEATHER AND NON-WEATHER-DEPENDENT LOADS FOR A COMMERCIAL BUILDING A Thesis by JOHN DOUGLAS BRONSON Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May 1992 Major Subject: Mechanical Engineering CALIBRATING DOE-2 TO WEATHER AND NON-WEATHER-DEPENDENT LOADS FOR A COMMERCIAL BUILDING A Thesis by JOHN DOUGLAS BRONSON Approved as to style and content by: M D~c Dennis...

Bronson, John Douglas

2012-06-07T23:59:59.000Z

388

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

6 and 27) including incremental fuel 6 and 27) including incremental fuel efficiency improvement, incremental cost, first year of introduction, and fractional horsepower change. These assumed technology characterizations are scaled up or down to approximate the differences in each attribute for 6 Environmental Protection Administration (EPA) size classes of cars and light trucks. The vehicle sales share module holds the share of vehicle sales by import and domestic manufacturers constant within a vehicle size class at 1999 levels based on National Highway Traffic and Safety Administration data. 32 EPA size class sales shares are projected as a function of income per capita, fuel prices, and average predicted vehicle prices based on endogenous calculations within the MTCM

389

Assumptions to the Annual Energy Outlook 2002 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and

390

Assumptions to the Annual Energy Outlook 2001 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and

391

Comparison of risk-dominant scenario assumptions for several TRU waste facilities in the DOE complex  

SciTech Connect (OSTI)

In order to gain a risk management perspective, the DOE Rocky Flats Field Office (RFFO) initiated a survey of other DOE sites regarding risks from potential accidents associated with transuranic (TRU) storage and/or processing facilities. Recently-approved authorization basis documents at the Rocky Flats Environmental Technology Site (RFETS) have been based on the DOE Standard 3011 risk assessment methodology with three qualitative estimates of frequency of occurrence and quantitative estimates of radiological consequences to the collocated worker and the public binned into three severity levels. Risk Class 1 and 2 events after application of controls to prevent or mitigate the accident are designated as risk-dominant scenarios. Accident Evaluation Guidelines for selection of Technical Safety Requirements (TSRs) are based on the frequency and consequence bin assignments to identify controls that can be credited to reduce risk to Risk Class 3 or 4, or that are credited for Risk Class 1 and 2 scenarios that cannot be further reduced. This methodology resulted in several risk-dominant scenarios for either the collocated worker or the public that warranted consideration on whether additional controls should be implemented. RFFO requested the survey because of these high estimates of risks that are primarily due to design characteristics of RFETS TRU waste facilities (i.e., Butler-type buildings without a ventilation and filtration system, and a relatively short distance to the Site boundary). Accident analysis methodologies and key assumptions are being compared for the DOE sites responding to the survey. This includes type of accidents that are risk dominant (e.g., drum explosion, material handling breach, fires, natural phenomena, external events, etc.), source term evaluation (e.g., radionuclide material-at-risk, chemical and physical form, damage ratio, airborne release fraction, respirable fraction, leakpath factors), dispersion analysis (e.g., meteorological assumptions, distance to receptors, plume meander, deposition, and other factors affecting the calculated {chi}/Q), dose assessments (specific activities, inhalation dose conversion factors, breathing rates), designated frequency of occurrence, and risk assignment per the DOE Standard 3011 methodology. Information from the sites is being recorded on a spreadsheet to facilitate comparisons. The first response from Westinghouse Safety Management Solutions for the Savannah River Site (SRS) also provided a detailed analysis of the major differences in methods and assumptions between RFETS and SRS, which forms much of the basis for this paper. Other sites responding to the survey include the Idaho National Engineering and Environmental Laboratory (INEEL), Hanford, and the Los Alamos National Laboratory (LANL).

Foppe, T.L. [Foppe and Associates, Inc., Golden, CO (United States); Marx, D.R. [Westinghouse Safety Management Solutions, Inc., Aiken, SC (United States)

1999-06-01T23:59:59.000Z

392

Faces of the Recovery Act: National Weatherization Conference  

ScienceCinema (OSTI)

Personal stories from the 2009 National Weatherization Training Conference in Indianapolis, Indiana.

Chu, Sammy; Campanella, Leslie; Sewell, Travis; Gill, Tony; Fransen, Richard; Leuty, Steve; Qualls, Xavier; Bergeron, T.J.; Stewet, Zachary

2013-05-29T23:59:59.000Z

393

Faces of the Recovery Act: National Weatherization Conference  

ScienceCinema (OSTI)

Personal stories from the 2009 National Weatherization Training Conference in Indianapolis, Indiana.

None

2010-09-01T23:59:59.000Z

394

Interactive Weather Simulation and Visualization on a Display Wall  

E-Print Network [OSTI]

.hoai.ha,john.markus.bjorndalen,otto.anshus}@uit.no, {tormsh,daniels}@cs.uit.no Abstract. Numerical Weather Prediction models (NWP) used for op- erational Weather Model, WRF, Tiled Display Walls, Live Data Sets, On-Demand Computation. 1 Introduction Numerical Weather Prediction models for use in weather forecasting centers are often computed for a fixed static

Ha, Phuong H.

395

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network [OSTI]

Lewis Poulin Implementation and Operational Services Section Canadian Meteorological Centre, Dorval, Qc National Prediction Operations Division ICEBO 2013, Montreal, Qc October 10 2013 Version 2013-09-27 Weather Forecast Data An Important... and weather information ? Numerical weather forecast production 101 ? From deterministic to probabilistic forecasts ? Some MSC weather forecast (NWP) datasets ? Finding the appropriate data for the appropriate forecast ? Preparing for probabilistic...

Poulin, L.

2013-01-01T23:59:59.000Z

396

POLEWARD PROPAGATING WEATHER SYSTEMS IN Jessica A. Staude  

E-Print Network [OSTI]

in West Antarctica. In this study satellite imagery is used to determine impact times of weather systemsPOLEWARD PROPAGATING WEATHER SYSTEMS IN ANTARCTICA by Jessica A. Staude A THESIS SUBMITTED hazardous weather on Earth. The continent is known for its extreme weather including bitterly cold

Wisconsin at Madison, University of

397

WIPP Weatherization: Common Errors and Innovative Solutions Presentation  

Broader source: Energy.gov [DOE]

This presentation contains information on WIPP Weatherization: Common Errors and Innovative Solutions.

398

High resolution weather modeling for improved fire management  

Science Journals Connector (OSTI)

A critical element to the accurate prediction of fire/weather behaviour is the knowledge of near-surface weather. Weather variables, such as wind, temperature, humidity and precipitation, make direct impacts on the practice of managing prescribed burns ... Keywords: fire behavior, numerical weather prediction, parallel computing

Kevin Roe; Duane Stevens; Carol McCord

2001-11-01T23:59:59.000Z

399

Weatherization Plus — Opportunities for the 21st Century  

Broader source: Energy.gov [DOE]

Millennium Committee Strategy Report for the DOE Weatherization Assistance Program; 15 pp.; April 1999.

400

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

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

Guidelines for Home Energy Professionals to someone by E-mail Guidelines for Home Energy Professionals to someone by E-mail Share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals on Facebook Tweet about Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals on Twitter Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals on Google Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals on Delicious Rank Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals on Digg Find More places to share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals on AddThis.com... Plans, Implementation, & Results Weatherization Assistance Program

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


401

Weatherization and Intergovernmental Program: The National Training and  

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

Information Resources Information Resources Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: The National Training and Education Resource to someone by E-mail Share Weatherization and Intergovernmental Program: The National Training and Education Resource on Facebook Tweet about Weatherization and Intergovernmental Program: The National Training and Education Resource on Twitter Bookmark Weatherization and Intergovernmental Program: The National Training and Education Resource on Google Bookmark Weatherization and Intergovernmental Program: The National Training and Education Resource on Delicious Rank Weatherization and Intergovernmental Program: The National Training and Education Resource on Digg Find More places to share Weatherization and Intergovernmental

402

Assumptions to the Annual Energy Outlook 1999 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

residential.gif (5487 bytes) residential.gif (5487 bytes) The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

403

Assumptions to the Annual Energy Outlook 2000 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

404

Assumptions to the Annual Energy Outlook 1999 - Acronyms  

Gasoline and Diesel Fuel Update (EIA)

acronyms.gif (3143 bytes) acronyms.gif (3143 bytes) AEO Annual Energy Outlook AEO98 Annual Energy Outlook 1998 AEO99 Annual Energy Outlook 1999 AFV AFV Alternative-Fuel Vehicle AGA American Gas Association ANGTS Alaskan Natural Gas Transportation System BEA Bureau of Economic Analysis BSC Boiler/Steam/Cogeneration BTU British Thermal Unit CAAA90 Clean Air Act Amendments of 1990 CBECS Commercial Buildings Energy Consumption Surveys CCAP Climate Change Action Plan CDD Cooling Degree-Days CNG Compressed natural gas DOE U.S. Department of Energy DRB Demonstrated Reserve Base DRI Data Resources, Inc./McGraw Hill EER Energy Efficiency Ratio EIA Energy Information Administration EIS Environmental Impact Statement EPA U.S. Environmental Protection Agency EPACT Energy Policy Act of 1992 EWG Exempt Wholesale Generator FAA Federal Aviation Administration

405

Assumptions to the Annual Energy Outlook 2002 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2002, DOE/EIA- M068(2002) January 2002. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are

406

Assumptions to the Annual Energy Outlook 2001 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2001, DOE/EIA- M068(2001) January 2001. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are

407

US Department of Energy Weatherization Assistance Program Homes Weatherized by State  

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

Weatherization Assistance Program Homes Weatherized by State Total Homes Weatherized Homes Weatherized with ARRA Funds Total Homes Weatherized Homes Weatherized with ARRA Funds Total Homes Weatherized Homes Weatherized with ARRA Funds Alabama 244 103 472 374 1106 477 Alaska 72 0 99 0 708 0 Arizona 317 17 477 342 1470 359 Arkansas 453 172 453 453 1573 625 California 0 0 12 12 1980 12 Colorado 913 566 1413 803 4666 1369 Connecticut 232 0 253 23 968 23 DC 2 0 0 0 76 0 Delaware 83 0 519 519 689 519 Florida 446 14 715 298 1304 312 Georgia 331 141 534 491 1303 632 Hawaii 0 0 0 0 55 0 Idaho 628 75 756 476 2366 551 Illinois 1425 0 2329 331 6386 331 Indiana 532 37 1192 937 3020 974 Iowa 744 8 374 362 1668 370 Kansas 178 16 398 251 946 267 Kentucky 711 31 717 400 3072 431 Louisiana 0 0 385 104 1702 104 Maine 401 88 547 472 1651 560 Maryland 215 5 300 274 1020 279 Massachusetts 872 111 1357 1199 4045 1310 Michigan

408

Severe Weather on the Web: Computer Lab for WEST Severe Weather Module  

E-Print Network [OSTI]

Severe Weather on the Web: Computer Lab for WEST Severe Weather Module Summary: Students and satellite images as well asexamine currentstorm watches and warnings. Materials Computers with internet tropical cyclone database webpage.It provides TRMM satellite observations of global tropical cyclones

Jiang, Haiyan

409

Integration of space weather into space situational awareness  

SciTech Connect (OSTI)

Rapid assessment of space weather effects on satellites is a critical step in anomaly resolution and satellite threat assessment. That step, however, is often hindered by a number of factors including timely collection and delivery of space weather data and the inherent com plexity of space weather information. As part of a larger, integrated space situational awareness program, Los Alamos National Laboratory has developed prototype operational space weather tools that run in real time and present operators with customized, user-specific information. The Dynamic Radiation Environment Assimilation Model (DREAM) focuses on the penetrating radiation environment from natural or nuclear-produced radiation belts. The penetrating radiation environment is highly dynamic and highly orbit-dependent. Operators often must rely only on line plots of 2 MeV electron flux from the NOAA geosynchronous GOES satellites which is then assumed to be representative of the environment at the satellite of interest. DREAM uses data assimilation to produce a global, real-time, energy dependent specification. User tools are built around a distributed service oriented architecture (SOA) which will allow operators to select any satellite from the space catalog and examine the environment for that specific satellite and time of interest. Depending on the application operators may need to examine instantaneous dose rates and/or dose accumulated over various lengths of time. Further, different energy thresholds can be selected depending on the shielding on the satellite or instrument of interest. In order to rapidly assess the probability that space weather was the cause of anomalous operations, the current conditions can be compared against the historical distribution of radiation levels for that orbit. In the simplest operation a user would select a satellite and time of interest and immediately see if the environmental conditions were typical, elevated, or extreme based on how often those conditions occur in that orbit. This allows users to rapidly rule in or out environmental causes of anomalies. The same user interface can also allow users to drill down for more detailed quantitative information. DREAM can be run either from a distributed web-based user interface or as a stand-alone application for secure operations. In this paper we discuss the underlying structure of the DREAM model and demonstrate the user interface that we have developed . We also present some prototype data products and user interfaces for DREAM and discuss how space environment information can be seamlessly integrated into operational SSA systems.

Reeves, Geoffrey D [Los Alamos National Laboratory

2010-11-09T23:59:59.000Z

410

Intelligent system design with fixed-base simulation validation for general aviation  

E-Print Network [OSTI]

based system provides pilots with conflict free flight path guidance in situations where weather and traffic conflicts exist concurrently [SI. The agent system is composed of three independent intelligent agents: a Weather Agent, a Traffic Agent.... Other hazards related to the thunderstorms include icing and lightening. The Weather Agent detects hazardous thunderstorms based on data received primarily from onboard weather radar. Considering weather restrictions, the weather agent computes...

Rong, Jie; Ding, Yuanyuan; Valasek, J.; Painter, John H.

2003-10-05T23:59:59.000Z

411

NREL: News Feature - Weatherization Work Guidelines Launched  

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

Weatherization Work Guidelines Launched Weatherization Work Guidelines Launched September 30, 2013 Photo of a man in a suit blowing insulation into an attic. Enlarge image William Stewart with Veterans Green Jobs blows cellulose insulation in the attic of a home A recent collaboration between the Energy Department, NREL, and the home energy performance industry is supporting the weatherization workforce with consistent on-the-job tools and accreditations that lead to better-defined career paths. Credit: Dennis Schroeder Getting up and going to work is hard enough every day. But add to your burden the need to remember every step of your job down to the smallest detail - and the fact that if you want to change careers, your lack of credentials might mean starting from scratch. These are the challenges

412

EnergyPlus Weather Data | Open Energy Information  

Open Energy Info (EERE)

EnergyPlus Weather Data EnergyPlus Weather Data Jump to: navigation, search Tool Summary Name: EnergyPlus Weather Data Agency/Company /Organization: United States Department of Energy Focus Area: Solar, Wind Resource Type: Dataset Website: apps1.eere.energy.gov/buildings/energyplus/cfm/Weather_data.cfm EnergyPlus Weather Data Screenshot References: Weather Data[1] Summary "Weather data for more than 2100 locations are now available in EnergyPlus weather format - 1042 locations in the USA, 71 locations in Canada, and more than 1000 locations in 100 other countries throughout the world. The weather data are arranged by World Meteorological Organization region and Country. Africa (WMO Region 1) Asia (WMO Region 2) South America (WMO Region 3) North and Central America (WMO Region 4)

413

Impacts of the Weatherization Assistance Program in fuel-oil heated houses  

SciTech Connect (OSTI)

In 1990, the US Department of Energy (DOE) initiated a national evaluation of its lowincome Weatherization Assistance Program. This report, which is one of five parts of that evaluation, evaluates the energy savings and cost-effectiveness of the Program as it had been applied to single-family houses heated primarily by fuel-oil. The study was based upon a representative sample (41 local weatherization agencies, 222 weatherized and 115 control houses) from the nine northeastern states during 1991 and 1992 program years. Dwelling-specific and agency-level data on measures installed, costs, and service delivery procedures were collected from the sampled agencies. Space-heating fuel-oil consumption, indoor temperature, and outdoor temperature were monitored at each house. Dwelling characteristics, air-leakage measurements, space-heating system steady-state efficiency measurements, safety inspections, and occupant questionnaires were also collected or performed at each monitored house. We estimate that the Program weatherized a total of 23,400 single-family fuel-oil heated houses in the nine northeastern states during program years 1991 and 1992. Annual fuel-oil savings were calculated using regression techniques to normalize the savings to standard weather conditions. For the northeast region, annual net fuel-oil savings averaged 160 gallons per house, or 17.7% of pre-weatherization consumption. Although indoor temperatures changed in individual houses following weatherization, there was no average change and no significant difference as compared to the control houses; thus, there was no overall indoor temperature takeback effect influencing fuel-oil savings. The weatherization work was performed cost effectively in these houses from the Program perspective, which included both installation costs and overhead and management costs but did not include non-energy benefits (such as employment and environmental).

Levins, W.P.; Ternes, M.P.

1994-10-01T23:59:59.000Z

414

OIKOS 101: 499504, 2003 Do seedlings in gaps interact? A field test of assumptions in ESS  

E-Print Network [OSTI]

OIKOS 101: 499­504, 2003 Do seedlings in gaps interact? A field test of assumptions in ESS seed seedlings in gaps interact? A field test of assumptions in ESS seed size models. ­ Oikos 101: 499­504. ESS for the occupancy of `safe sites' or vegetation gaps. If mortality rates are high and/or frequency-independent, ESS

Silvertown, Jonathan

415

Granular Matter 4(3) (2002) How good is the equipartition assumption for the transport  

E-Print Network [OSTI]

Granular Matter 4(3) (2002) How good is the equipartition assumption for the transport properties of a granular mixture? Meheboob Alam (1) , Stefan Luding (1;2) ? Abstract Kinetic-theory, with the assumption of equipar- tition of granular energy, suggests that the pressure and viscosity of a granular mixture vary

Luding, Stefan

416

Impact of assumption of log-normal distribution on monthly rainfall estimation from TMI  

E-Print Network [OSTI]

The log-normal assumption for the distribution of the rain rates used for the estimation of monthly rain totals proposed in Wilheit et al 1991 was examined. Since the log-normal assumption was originally used for the SSM/I, it is now necessary to re...

Lee, Dong Heon

2012-06-07T23:59:59.000Z

417

Assessing the Capability of a Regional-Scale Weather Model to Simulate Extreme Precipitation Patterns and Flooding in Central Texas  

Science Journals Connector (OSTI)

A regional-scale weather model is used to determine the potential for flood forecasting based on model-predicted rainfall. Extreme precipitation and flooding events are a significant concern in central Texas, due to both the high occurrence and ...

Marla R. Knebl Lowrey; Zong-Liang Yang

2008-12-01T23:59:59.000Z

418

A new scenario framework for climate change research: The concept of Shared Climate Policy Assumptions  

SciTech Connect (OSTI)

The paper presents the concept of shared climate policy assumptions as an important element of the new scenario framework. Shared climate policy assumptions capture key climate policy dimensions such as the type and scale of mitigation and adaptation measures. They are not specified in the socio-economic reference pathways, and therefore introduce an important third dimension to the scenario matrix architecture. Climate policy assumptions will have to be made in any climate policy scenario, and can have a significant impact on the scenario description. We conclude that a meaningful set of shared climate policy assumptions is useful for grouping individual climate policy analyses and facilitating their comparison. Shared climate policy assumptions should be designed to be policy relevant, and as a set to be broad enough to allow a comprehensive exploration of the climate change scenario space.

Kriegler, Elmar; Edmonds, James A.; Hallegatte, Stephane; Ebi, Kristie L.; Kram, Tom; Riahi, Keywan; Winkler, Harald; Van Vuuren, Detlef

2014-04-01T23:59:59.000Z

419

Alabama Power - Residential Heat Pump and Weatherization Loan Programs |  

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

Alabama Power - Residential Heat Pump and Weatherization Loan Alabama Power - Residential Heat Pump and Weatherization Loan Programs Alabama Power - Residential Heat Pump and Weatherization Loan Programs < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Ventilation Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Maximum Rebate Windows: $350 Program Info State Alabama Program Type Utility Loan Program Rebate Amount Not specified Provider Alabama Power Alabama Power offers low-interest loans to residential customers to purchase and install new heat pumps and a variety of weatherization measures. The loans require no money down and can be used to finance an air

420

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

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

Training Training Centers to someone by E-mail Share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Training Centers on Facebook Tweet about Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Training Centers on Twitter Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Training Centers on Google Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Training Centers on Delicious Rank Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Training Centers on Digg Find More places to share Weatherization and Intergovernmental

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


421

Tideland EMC - Weatherization Loan Program | Department of Energy  

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

Tideland EMC - Weatherization Loan Program Tideland EMC - Weatherization Loan Program Tideland EMC - Weatherization Loan Program < Back Eligibility Agricultural Commercial Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Ventilation Manufacturing Heating & Cooling Commercial Heating & Cooling Appliances & Electronics Water Heating Program Info State North Carolina Program Type Utility Loan Program Provider Tideland EMC Tideland Electric Membership Cooperative (TEMC) is an electric cooperative that serves customers in Craven, Dare, Washington, Pamlico, Beaufort and Hyde counties. Home, farm and business owners are able to take advantage of TEMC's five percent-interest Weatherization Loan Program.

422

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

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

Project Updates to someone by Project Updates to someone by E-mail Share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project Updates on Facebook Tweet about Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project Updates on Twitter Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project Updates on Google Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project Updates on Delicious Rank Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project Updates on Digg Find More places to share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project Updates on

423

Atmos Energy - Natural Gas and Weatherization Efficiency Program |  

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

Atmos Energy - Natural Gas and Weatherization Efficiency Program Atmos Energy - Natural Gas and Weatherization Efficiency Program Atmos Energy - Natural Gas and Weatherization Efficiency Program < Back Eligibility Low-Income Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Sealing Your Home Construction Commercial Weatherization Design & Remodeling Ventilation Appliances & Electronics Water Heating Windows, Doors, & Skylights Program Info State Kentucky Program Type Utility Rebate Program Rebate Amount Forced Air Furnace: $250 - $400 Boiler: $250 High Efficiency Tank Water Heater: $200 - $300 Tankless Model: $400 Programmable Thermostat: $25 Weatherization Assistance: Up to $3,000 Provider Atmos Energy Kentucky Rebate Offer Atmos Energy provides rebates to residential and commercial for natural gas

424

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

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

Certifications to someone by Certifications to someone by E-mail Share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Certifications on Facebook Tweet about Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Certifications on Twitter Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Certifications on Google Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Certifications on Delicious Rank Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Certifications on Digg Find More places to share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Certifications on

425

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

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

Accredited Training to someone by Accredited Training to someone by E-mail Share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Accredited Training on Facebook Tweet about Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Accredited Training on Twitter Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Accredited Training on Google Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Accredited Training on Delicious Rank Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Accredited Training on Digg Find More places to share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Accredited Training on

426

Friday December 28, 2012 | Houston Weather  

E-Print Network [OSTI]

Friday December 28, 2012 | Houston Weather Chron.com Web Search by YAHOO! Local Directory Sci, December 26, 2012 11 for '13: Bhaskar Dutta and David Toback believe we will soon identify "dark" matter and that we ignorantly refer to as dark matter. One of the reasons we believe this substance exists

Toback, David

427

Sunny outlook for space weather forecasters  

Science Journals Connector (OSTI)

... For decades, companies have tailored public weather data for private customers from farmers to airlines. On Wednesday, a group of businesses said that they ... utilities and satellite operators. But Terry Onsager, a physicist at the SWPC, says that private forecasting firms are starting to realize that they can add value to these predictions. ...

Eric Hand

2012-04-27T23:59:59.000Z

428

Discussion of long-range weather prediction  

SciTech Connect (OSTI)

A group of scientists at Los Alamos have held a series of discussions of the issues in and prospects for improvements in Long-range Weather Predictions Enabled by Proving of the Atmosphere at High Space-Time Resolution. The group contained the requisite skills for a full evaluation, although this report presents only an informal discussion of the main technical issues. The group discussed all aspects of the proposal, which are grouped below into the headings: (1) predictability; (2) sensors and satellites, (3) DIAL and atmospheric sensing; (4) localized transponders; and (5) summary and integration. Briefly, the group agreed that the relative paucity of observations of the state of the atmosphere severely inhibits the accuracy of weather forecasts, and any program that leads to a more dense and uniform observational network is welcome. As shown in Long-range Weather more dense and uniform observational network is welcome. As shown in Long-range Weather Predictions, the pay-back of accurate long-range forecasts should more than justify the expenditure associated with improved observations and forecast models required. The essential step is to show that the needed technologies are available for field test and space qualification.

Canavan, G.H.

1998-09-10T23:59:59.000Z

429

Understanding space weather to shield society  

E-Print Network [OSTI]

, initially prioritizing post-event solar eruption modeling to develop multi-day forecasts of geomagnetic, involving the coupling of the solar wind disturbances to internal magnetospheric processes agencies and communities! i) Implement open space-weather data and information policy;! j) Provide access

Schrijver, Karel

430

Monthly Weather Review EARLY ONLINE RELEASE  

E-Print Network [OSTI]

Center for Atmospheric Research,* Boulder Colorado 14 and 16 Richard H. Johnson18 Department *Corresponding author address: Andrew Newman, National Center For Atmospheric Research,38 Boulder, CO 80307. E and have been linked to severe weather and flooding in northern Mexico and the southwest United States

Johnson, Richard H.

431

Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States  

E-Print Network [OSTI]

for numerical weather prediction and climate models.   Abstract:  Numerical weather prediction (NWP) models are Model output statistics (MOS), Numerical Weather Prediction (

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

432

A high-resolution, cloud-assimilating numerical weather prediction model for solar irradiance forecasting  

E-Print Network [OSTI]

Multiscale Numerical Weather Prediction Model.   Progress assimilating numerical weather prediction model for solar customizable  numerical weather prediction model that is 

Mathiesen, Patrick; Collier, Craig; Kleissl, Jan

2013-01-01T23:59:59.000Z

433

TOTAL ARRA Homes Weatherized thru Q2 2010 8.19.10.xls  

Energy Savers [EERE]

Weatherization Assistance Program Homes Weatherized By State through 06302010 (Calendar Year) *State Number of Homes Weatherized in 2nd Quarter 2010 (Apr-Jun) Recovery Act...

434

E-Print Network 3.0 - accelerated weathering tests Sample Search...  

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

The Weather Barry J. Fishman... school level. These tools give students access to live satellite images, weather maps, and other... scientific data dealing with the weather, and...

435

Developing hourly weather data for locations having only daily weather data  

SciTech Connect (OSTI)

A methodology was developed to modify an hourly TMY weather tape to be representative of a location for which only average daily weather parameters were avilable. Typical hourly and daily variations in solar flux, and other parameters, were needed to properly exercise a computer model to predict the transient performance of a solar controlled greenhouse being designed for Riyadh, Saudi Arabia. The starting point was a TMY tape for Yuma, Arizona, since the design temperatures for summer and winter are nearly identical for Yuma and Riyadh. After comparing six of the most important weather variables, the hourly values on the Yuma tape were individually adjusted to give the same overall daily average conditions as existed in the long-term Riyadh data. Finally, a statistical analysis was used to confirm quantitatively that the daily variations between the long term average values for Riyadh and the modified TMY weather tape for Yuma matched satisfactorily.

Talbert, S.G.; Herold, K.E.; Jakob, F.E.; Lundstrom, D.K.

1983-06-01T23:59:59.000Z

436

Use of NWS Weather Measurements for Cross-checking Local Weather Measurements  

E-Print Network [OSTI]

This paper discusses the use of an independent network of remote weather stations for building energy analysis to assist agencies participating in the Texas LoanSTAR Monitoring and Analysis Program. A review of the sensors and procedures...

Crowley, G. D.; Haberl, J. S.

1994-01-01T23:59:59.000Z

437

Weather and emotional state: a search for associations between weather and calls to telephone counseling services  

E-Print Network [OSTI]

Calls to four telephone counseling services, or "hotlines", each serving communities in a major metropolitan area of the United States (Detroit, Washington DC, Dallas and Seattle), were analyzed for influence from daily weather. Associations...

Stillman, Daniel Noah

2012-06-07T23:59:59.000Z

438

2008 Weatherization and Intergovernmental Program (WIP) Market Report  

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

2008 WEATHERIZATION AND 2008 WEATHERIZATION AND INTERGOVERNMENTAL PROGRAM (WIP) MARKET REPORT Energy Efficiency & Renewable Energy Table of Contents Acknowledgments ........................................................................................................................ iv Acronyms ........................................................................................................................................v EXECUTIVE SUMMARY ......................................................................................................... vi Background .............................................................................................................................. vi Structure of this Report........................................................................................................... vii

439

Preface: Weatherization Assistance Program Close-Up Compendium  

SciTech Connect (OSTI)

The United States demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

440

Vice President Biden Announces 200,000 Homes Weatherized Under...  

Office of Environmental Management (EM)

200,000 Homes Weatherized Under the Recovery Act Vice President Biden Announces 200,000 Homes Weatherized Under the Recovery Act August 26, 2010 - 12:00am Addthis Manchester, N.H....

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


441

ECE/METR 6613: Weather Radar Polarimetry Prereq.: Graduate status  

E-Print Network [OSTI]

(guzhang1@ou.edu), (405)325-3507 Text: G. Zhang: Lecture notes ­ Weather Radar Polarimetry with Matlab, weather radar interferometry, multi-frequency/site radar techniques. Grading Homeworks 30% Projects 40

Droegemeier, Kelvin K.

442

EERE FY 2008-2012 Budget: Weatherization and Intergovernmental...  

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

EERE FY 2008-2012 Budget: Weatherization and Intergovernmental Program EERE FY 2008-2012 Budget: Weatherization and Intergovernmental Program Proposed five-year plan for the U.S....

443

Weather Conditions of 1695?96 in European Russia  

Science Journals Connector (OSTI)

The Russian chronicles and the diaries of Czar Peter the Great were used to describe weather conditions of the late seventeenth century in European Russia. According to these written sources, a distinct deterioration of weather conditions took ...

Margarita Chernavskaya

1996-07-01T23:59:59.000Z

444

EAC Meeting Cancelled Due to Weather | Department of Energy  

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

Cancelled Due to Weather EAC Meeting Cancelled Due to Weather March 5, 2013 - 3:06pm Addthis This week's Electricity Advisory Committee (EAC) meeting has been cancelled due to a...

445

The Impact of Satellite Data on Global Numerical Weather Prediction  

Science Journals Connector (OSTI)

The European Centre for Medium Range Weather Forecasts (ECMWF) produces operational global forecasts ... state of the atmosphere at 12Z. The satellite data used in a global Numerical Weather Prediction (NWP) syst...

J. Pailleux

1987-01-01T23:59:59.000Z

446

HUD Data on Properties Eligible for Weatherization Assistance  

Broader source: Energy.gov [DOE]

U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Weatherization Assistance Program guidance to states, Indian tribes, and overseas U.S. territories regarding HUD data on properties eligible for weatherization ser

447

Understanding Space Weather: The Sun as a Variable Star  

Science Journals Connector (OSTI)

The American Meteorological Society has recently adopted space weather as a new core competency. This is the first in a series of papers discussing the multidisciplinary aspects of space weather. This paper concerns the physics behind solar variability, ...

Keith Strong; Julia Saba; Therese Kucera

2012-09-01T23:59:59.000Z

448

Quality Control of Weather Radar Data Using Polarimetric Variables  

Science Journals Connector (OSTI)

Because weather radar data are commonly employed in automated weather applications, it is necessary to censor nonmeteorological contaminants, such as bioscatter, instrument artifacts, and ground clutter, from the data. With the operational ...

Valliappa Lakshmanan; Christopher Karstens; John Krause; Lin Tang

2014-06-01T23:59:59.000Z

449

Weatherization Assistance Program (WAP) Closeout Frequently Asked Questions  

Broader source: Energy.gov [DOE]

This document provides a list of frequently asked questions in regards to the Weatherization Assistance Program (WAP) Closeout procedures.

450

200,000 homes weatherized under the Recovery Act  

SciTech Connect (OSTI)

Today Vice President Biden announced that the Weatherization Assistance Program has weatherized 200,000 homes under the Recovery Act. We're taking your questions and comments right now on weatherization. Join in the conversation! *Facebook -- http://www.facebook.com/energygov *Twitter -- http://www.twitter.com/energy

Zoi, Cathy

2010-01-01T23:59:59.000Z

451

Warm weather's a comin'! Performance Dependence on Closure  

E-Print Network [OSTI]

contributed also by Aaron Rosenberg!! #12;Wind Forecasting using Numerical Weather Prediction (NWP) Mesoscale weather models often predict the height of the LLJ too high and the magnitude too low Overwhelming 18-hr.forecasts initialized at 18Z Weather Research and Forecast (WRF) Model #12;Dissipation

McCalley, James D.

452

Open problem: Dynamic Relational Models for Improved Hazardous Weather Prediction  

E-Print Network [OSTI]

. Current weather radar detection and prediction sys- tems primarily rely on numerical models. We proposeOpen problem: Dynamic Relational Models for Improved Hazardous Weather Prediction Amy McGovern1, #12;Dynamic Relational Models for Improved Hazardous Weather Prediction Radar velocity Radar

McGovern, Amy

453

Data Assimilation for Idealised Mathematical Models of Numerical Weather Prediction  

E-Print Network [OSTI]

Data Assimilation for Idealised Mathematical Models of Numerical Weather Prediction Supervisors). Background: Numerical Weather Prediction (NWP) has seen significant gains in accuracy in recent years due is directed at achieving real-world impact in numerical weather prediction by addressing fundamental issues

Wirosoetisno, Djoko

454

Forecasting wave height probabilities with numerical weather prediction models  

E-Print Network [OSTI]

Forecasting wave height probabilities with numerical weather prediction models Mark S. Roulstona; Numerical weather prediction 1. Introduction Wave forecasting is now an integral part of operational weather methods for generating such forecasts from numerical model output from the European Centre for Medium

Stevenson, Paul

455

Supplementary Method The weather regime paradigm: description and properties  

E-Print Network [OSTI]

Supplementary Method The weather regime paradigm: description and properties Weather regimes the satellite-data period for Outgoing Longwave Radiation (OLR) further analysed in the course of the paper. Weather regimes should be understood as "envelops" for daily variability and would correspond

Cai, Long

456

Product Description Location NOAA Mission Goal: Weather & Water  

E-Print Network [OSTI]

#12;Product Description Location NOAA Mission Goal: Weather & Water NOAA Extreme Weather, and evacuation information for residents. http://www.ncddc.noaa.gov/activities/weather- ready-nation/newis/ NODC_woa09. html Satellite Oceanography Data NODC's satellite group provides scientific stewardship

457

Introduction. Progress in astronomy: from gravitational waves to space weather  

Science Journals Connector (OSTI)

...gravitational waves to space weather J. Michael T Thompson...launch of the Swift satellite in 2004 has brought...extrasolar planets and space weather, respectively. First...2008The science of space weather. Phil. Trans. R...L.C 2008The Swift satellite lives up to its name...

2008-01-01T23:59:59.000Z

458

Weatherization Program is a Capital Idea for Washington, D.C.: Weatherization Assistance Close-Up Fact Sheet  

SciTech Connect (OSTI)

Washington, D.C. demonstrates its commitment to technology and efficiency through the Weatherization Program. Weatherization uses advanced technologies and techniques to reduce energy costs for low-income families by increasing the energy efficiency of their homes.

D& R International

2001-10-10T23:59:59.000Z

459

CBE UFAD cost analysis tool: Life cycle cost model, issues and assumptions  

E-Print Network [OSTI]

Building Maintenance and Repair Cost Reference. ” WhitestoneJ. Wallis and H. Lin. 2008. “CBE UFAD Cost Analysis Tool:UFAD First Cost Model, Issues and Assumptions. ” Center for

Webster, Tom; Benedek, Corinne; Bauman, Fred

2008-01-01T23:59:59.000Z

460

Microwave Properties of Ice-Phase Hydrometeors for Radar and Radiometers: Sensitivity to Model Assumptions  

Science Journals Connector (OSTI)

A simplified framework is presented for assessing the qualitative sensitivities of computed microwave properties, satellite brightness temperatures, and radar reflectivities to assumptions concerning the physical properties of ice-phase ...

Benjamin T. Johnson; Grant W. Petty; Gail Skofronick-Jackson

2012-12-01T23:59:59.000Z

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


461

Behavioral Assumptions Underlying California Residential Sector Energy Efficiency Programs (2009 CIEE Report)  

Broader source: Energy.gov [DOE]

This paper examines the behavioral assumptions that underlie California’s residential sector energy efficiency programs and recommends improvements that will help to advance the state’s ambitious greenhouse gas reduction goals.

462

Length measurement of a moving rod by a single observer without assumptions concerning its magnitude  

E-Print Network [OSTI]

We extend the results presented by Weinstein concerning the measurement of the length of a moving rod by a single observer, without making assumptions concerning the distance between the moving rod and the observer who measures its length.

Bernhard Rothenstein; Ioan Damian

2005-07-03T23:59:59.000Z

463

Assumptions about the U.S., the EU, NATO, and their Impact on the Transatlantic Agenda  

Science Journals Connector (OSTI)

I propose in this paper to discuss, from an American perspective, the assumptions and assertions that influence the way that I look at foreign policy events at the end of this decade. I will conclude with a fe...

Stanley Sloan

2000-01-01T23:59:59.000Z

464

Bases, Assumptions, and Results of the Flowsheet Calculations for the Decision Phase Salt Disposition Alternatives  

SciTech Connect (OSTI)

The HLW salt waste (salt cake and supernate) now stored at the SRS must be treated to remove insoluble sludge solids and reduce the soluble concentration of radioactive cesium radioactive strontium and transuranic contaminants (principally Pu and Np). These treatments will enable the salt solution to be processed for disposal as saltstone, a solid low-level waste.

Elder, H.H.

2001-07-11T23:59:59.000Z

465

Correlation of GSO satellite anomalies with space weather data  

Science Journals Connector (OSTI)

This work summarizes the main results of our studies at the ISRO cell of IIT-Mumbai, on the relationship between space weather and geostationary satellite anomalies. We point out that the essence of the problem is to understand quantitatively the relationships between changes in space weather at the Sun (S) and the dayside Lagrangian point (L1) on the one hand, and on the other hand the electron/proton fluxes and magnetic field changes at the geostationary altitude (G). Electromagnetic and cosmic ray changes at the Earth surface (E) are also related to the field and particle changes observed at G. We have evolved prediction programs for satellite anomalies based on proton events on the Sun, the solar wind speeds measured at L1, and the 2 MeV electron flux enhancements observed at G. The probabilities and time lags of the occurrence of satellite anomalies are also governed by whether the ‘shock’ in solar wind and IMF parameters detected at L1 is of a ‘sharp’ or a ‘diffuse’ type. From a comparative study of the two years 2005 and 2006 with very different space weather conditions, we find that the type and number of anomalies is (1) clearly governed by the magnitude of the interplanetary electric field E sw , and hence by the IMF B and (2) by the number of proton events on the Sun. We are currently exploring the role played by the ratio of 2 MeV electrons to the > 1 MeV protons, both at G, in the occurrence of satellite anomalies.

C.G. Patil; Girija Rajaram; M.Y.S. Prasad

2008-01-01T23:59:59.000Z

466

Fire weather simulation skill by the Weather Research and Forecasting (WRF) model over south-east Australia  

E-Print Network [OSTI]

values were driven mainly by WRF errors in wind speed simulation. However, in both cases the qualityFire weather simulation skill by the Weather Research and Forecasting (WRF) model over south-east Australia from 1985 to 2009 has been simulated using the Weather Research and Forecasting (WRF) model

Evans, Jason

467

Large Scale Weather Control Using Nuclear Reactors  

E-Print Network [OSTI]

It is pointed out that controlled release of thermal energy from fission type nuclear reactors can be used to alter weather patterns over significantly large geographical regions. (1) Nuclear heat creates a low pressure region, which can be used to draw moist air from oceans, onto deserts. (2) Creation of low pressure zones over oceans using Nuclear heat can lead to Controlled Cyclone Creation (CCC).(3) Nuclear heat can also be used to melt glaciers and control water flow in rivers.

Moninder Singh Modgil

2002-10-02T23:59:59.000Z

468

Atmos Energy - Residential Natural Gas and Weatherization Efficiency  

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

- Residential Natural Gas and Weatherization - Residential Natural Gas and Weatherization Efficiency Program Atmos Energy - Residential Natural Gas and Weatherization Efficiency Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Sealing Your Home Construction Commercial Weatherization Design & Remodeling Appliances & Electronics Water Heating Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Comprehensive Upgrades (Energize Homes): Up to $5,00 Furnace: $200-$300 Boiler: $200-$300 Combination Boiler/Water Heater: $450 Storage Water Heater: $50-$125 Tankless/Condensing Water Heater: $200 Programmable Thermostat $25 Provider Energy Federation Incorporated '''As of August 1, 2012, Missouri energy efficiency programs are offered by

469

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

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

Home Energy Home Energy Workers to someone by E-mail Share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Home Energy Workers on Facebook Tweet about Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Home Energy Workers on Twitter Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Home Energy Workers on Google Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Home Energy Workers on Delicious Rank Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Home Energy Workers on Digg

470

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

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

Homeowners Homeowners and Consumers to someone by E-mail Share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Homeowners and Consumers on Facebook Tweet about Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Homeowners and Consumers on Twitter Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Homeowners and Consumers on Google Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Homeowners and Consumers on Delicious Rank Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Homeowners and Consumers on

471

Weatherization and minority energy use: A preliminary analysis  

SciTech Connect (OSTI)

This paper presents an analysis of the patterns of minority and non-minority energy consumption with and without weatherization measures. The behavior of the household in response to a weatherization-induced income gain is modeled using ANL`s Minority Economic Assessment Model (MEAM). Weatherization is then examined from a programmatic perspective in light of the MEAM findings. This work is the first part of a larger analysis to assess the economic impact of weatherization on minority households and to examine the reallocation of LIHEAP funds to weatherization. Several limitations of this analysis are discussed.

Earl, E.V.; Collins, N.E.

1992-06-01T23:59:59.000Z

472

Weatherization and minority energy use: A preliminary analysis  

SciTech Connect (OSTI)

This paper presents an analysis of the patterns of minority and non-minority energy consumption with and without weatherization measures. The behavior of the household in response to a weatherization-induced income gain is modeled using ANL's Minority Economic Assessment Model (MEAM). Weatherization is then examined from a programmatic perspective in light of the MEAM findings. This work is the first part of a larger analysis to assess the economic impact of weatherization on minority households and to examine the reallocation of LIHEAP funds to weatherization. Several limitations of this analysis are discussed.

Earl, E.V.; Collins, N.E.

1992-01-01T23:59:59.000Z

473

Real-Time Weather Data Access Guide: Updated February 2006  

SciTech Connect (OSTI)

The format of the weather data received from the National Weather Service is extremely inconvenient for building engineers to read, especially for trending historical data; therefore, a weather parsing program was created by NREL building engineers to simplify the data. The weather-parsing program collects current weather conditions for over 4,000 sites around the world and allows access to the data via a web page designed by NREL building researchers. The database provides data for some locations from late 1998 through today. Users can request data to be sent to them via e-mail by using the interactive web page.

Long, N.

2006-03-01T23:59:59.000Z

474

Keweenaw Bay Indian Community â??Weatherization Training Projectâ? Final Report  

SciTech Connect (OSTI)

The objective of the project is to train the appropriate staff, both new and existing from various KBIC Departments in the core competencies needed to develop a comprehensive Tribal community weatherization program. The goal of the project was to build the staff capacity to enable the KBIC to establish a Tribal weatherization program that promotes energy sufficiency throughout the Tribal community. The project addresses the needs identified in the 2008 KBIC Strategic Energy Plan to build the staff capacity and increase the knowledge base within the Tribal Departments and to implement an energy efficiency program through community education and financial assistance incentives.

Lawence J. Denomie, III C.E.O. B

2012-03-26T23:59:59.000Z

475

Kansas City Weatherization Efforts Exceed Goals | Department of Energy  

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

Weatherization Efforts Exceed Goals Weatherization Efforts Exceed Goals Kansas City Weatherization Efforts Exceed Goals July 23, 2010 - 11:43am Addthis Stephen Graff Former Writer & editor for Energy Empowers, EERE Kansas City's rainy summer is good news for lawns but not so good news for homes in need of weatherization, since wet conditions slow down work. But Bob Jackson isn't worried. "We've had a significantly wet season... but we're two and half months ahead," says the manager of the city's Property Preservation Division, which oversees weatherization efforts for Kansas City and some satellite towns. Even so, Jackson far exceeded the target number of income-eligible homes to weatherize, as set forth by the Missouri's Department of Natural Resources (DNR) and the U.S. Department of Energy's Weatherization Assistance

476

Kansas City Weatherization Efforts Exceed Goals | Department of Energy  

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

Kansas City Weatherization Efforts Exceed Goals Kansas City Weatherization Efforts Exceed Goals Kansas City Weatherization Efforts Exceed Goals July 23, 2010 - 11:43am Addthis Stephen Graff Former Writer & editor for Energy Empowers, EERE Kansas City's rainy summer is good news for lawns but not so good news for homes in need of weatherization, since wet conditions slow down work. But Bob Jackson isn't worried. "We've had a significantly wet season... but we're two and half months ahead," says the manager of the city's Property Preservation Division, which oversees weatherization efforts for Kansas City and some satellite towns. Even so, Jackson far exceeded the target number of income-eligible homes to weatherize, as set forth by the Missouri's Department of Natural Resources (DNR) and the U.S. Department of Energy's Weatherization Assistance

477

WxTV Broadcasts Weatherization Training | Department of Energy  

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

WxTV Broadcasts Weatherization Training WxTV Broadcasts Weatherization Training WxTV Broadcasts Weatherization Training June 28, 2010 - 4:00pm Addthis As the director of the Montana Weatherization Training Center, Mike Vogel knows that the field of weatherization is changing. That's why after 20 years of training workers, the center now offers a program that is not limited to its location in Bozeman, or even to the state of Montana itself. After receiving a $354,000 partnership grant from the National Community Action Foundation and ExxonMobil in early June, the training center is producing WxTV (Weatherization Television Network), a weekly weatherization show available on the Internet. The training center is affiliated with Montana State University Extension. With episodes featuring experts from different areas of the country, the

478

New Jersey Training Workers to Weatherize Homes | Department of Energy  

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

Jersey Training Workers to Weatherize Homes Jersey Training Workers to Weatherize Homes New Jersey Training Workers to Weatherize Homes March 15, 2010 - 6:46pm Addthis Paul Lester Communications Specialist for the Office of Energy Efficiency and Renewable Energy What does this mean for me? Recovery Act-funded training programs will create weatherization workforce for hundreds and lower bills for low-income residents. New Jersey is training an army of weatherization workers as the state surges ahead with plans to weatherize 13,000 homes, shrinking bills for low-income residents and creating hundreds of jobs. The goal is to develop the "weatherization workforce with family supporting wages" and create "career ladders which will move low-income workers into higher-skilled occupations," says Lisa Ryan, public

479

Massachusetts on Track with Weatherization Boost | Department of Energy  

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

Massachusetts on Track with Weatherization Boost Massachusetts on Track with Weatherization Boost Massachusetts on Track with Weatherization Boost January 12, 2010 - 3:07pm Addthis As the state of Massachusetts advances toward its goal of weatherizing approximately 17,000 homes over three years, thousands of residents across the Bay State have already felt the impact of its expanded program. Massachusetts has hired 35 energy auditors, roughly 140 weatherization workers and about 30 administrators to keep up with the surge in weatherization work made possible by an $86 million slice of the state's Recovery Act money. Twenty-eight additional contracting companies have been added to the 55 the state already used to weatherize homes. "Every week, we're trying to bring in a new contractor. The more we can

480

Massachusetts on Track with Weatherization Boost | Department of Energy  

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

Massachusetts on Track with Weatherization Boost Massachusetts on Track with Weatherization Boost Massachusetts on Track with Weatherization Boost January 12, 2010 - 3:07pm Addthis As the state of Massachusetts advances toward its goal of weatherizing approximately 17,000 homes over three years, thousands of residents across the Bay State have already felt the impact of its expanded program. Massachusetts has hired 35 energy auditors, roughly 140 weatherization workers and about 30 administrators to keep up with the surge in weatherization work made possible by an $86 million slice of the state's Recovery Act money. Twenty-eight additional contracting companies have been added to the 55 the state already used to weatherize homes. "Every week, we're trying to bring in a new contractor. The more we can

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481

Weatherization Assistance Available at Florida Pie Shop | Department of  

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

Weatherization Assistance Available at Florida Pie Shop Weatherization Assistance Available at Florida Pie Shop Weatherization Assistance Available at Florida Pie Shop June 29, 2010 - 10:00am Addthis Malea Guiriba uses a portion of profits from her pie business to fund weatherization projects for local residents. | Photo courtesy of Malea Guiriba Malea Guiriba uses a portion of profits from her pie business to fund weatherization projects for local residents. | Photo courtesy of Malea Guiriba Pie in the Sky, a seemingly simple store that offers customers fresh-baked desserts, is providing a second treat: weatherization. Local resident Malea Guiriba opened the pie shop in the small town of Hastings, Fla., last summer and started using part of the store's profits to help weatherize homes of low-income residents in the area. She did all

482

Tacoma Power - Residential Weatherization Rebate Program | Department of  

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

Weatherization Rebate Program Weatherization Rebate Program Tacoma Power - Residential Weatherization Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Windows, Doors, & Skylights Maximum Rebate Windows: $1,000 Ceiling/Floor/Wall Insulation: $3,000 Duct Sealing: $450 Program Info State District of Columbia Program Type Utility Rebate Program Rebate Amount Windows: $2 - $4 per square foot Insulation: $0.50 per square foot Duct Sealing: up to $450 Provider Tacoma Power Tacoma Power helps residential customers increase the energy efficiency of homes through the utility's residential weatherization program. Weatherization upgrades to windows are eligible for an incentive payment of up to $1,000. Customers who pursue ceiling, floor, and wall insulation

483

Secretary Chu Post: Celebrating National Weatherization Day | Department of  

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

Post: Celebrating National Weatherization Day Post: Celebrating National Weatherization Day Secretary Chu Post: Celebrating National Weatherization Day November 1, 2010 - 12:00am Addthis WASHINGTON - Today, Energy Secretary Steven Chu made the following statement on National Weatherization Day. The statement can be found on the Energy Blog. Celebrating National Weatherization Day Posted by Secretary Steven Chu on November 01, 2010 at 1:55 PM This weekend, communities across the country celebrated National Weatherization Day, highlighting the important work happening nationwide to save money for America's homeowners by investing in energy efficiency. As a result of the Recovery Act weatherization program, more than 245,000 low-income families have had their homes upgraded, which means these families are paying lower energy bills every month. The program has also

484

Nevada Weatherizes Large-Scale Complex | Department of Energy  

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

Nevada Weatherizes Large-Scale Complex Nevada Weatherizes Large-Scale Complex Nevada Weatherizes Large-Scale Complex July 1, 2010 - 10:11am Addthis What does this project do? This nonprofit weatherized a 22-unit low-income multifamily complex, reducing the building's duct leakage from 90 percent to just 5 percent. The weatherization program of the Rural Nevada Development Corporation (RNDC) reached a recent success in its eleven counties-wide territory. In June, the nonprofit finished weatherizing a 22-unit low-income multifamily complex, reducing the building's duct leakage from 90 percent to just 5 percent. "That is one big savings and is why I am proud of this project," says Dru Simerson, RNDC Weatherization Manager. RNDC's crew replaced all windows and 17 furnaces and installed floor

485

Introduction In aviation, weather service is a combined effort of the  

E-Print Network [OSTI]

types of weather observations: surface, upper air, radar, and satellite. Surface Aviation Weather12-1 Introduction In aviation, weather service is a combined effort of the National Weather Service, and individuals. Because of the increasing need for worldwide weather services, foreign weather organizations also

486

Influence of terrestrial weathering on ocean acidification and the next glacial inception  

E-Print Network [OSTI]

H decline based on the default parameterizations. Thus on short timescales, weathering has little effect. Introduction [2] Humans have released over 300 Pg of carbon (1 Pg C = 1015 g C) mainly from fossil fuel unfortunately has its price: ocean acidification. Uptake of atmospheric CO2 lowers seawater pH and [CO3 2Ă?

Zeebe, Richard E.

487

Title: Development of Statistical and Data Drive Models to Predict Flares for Space Weather Predictions  

E-Print Network [OSTI]

D and civilian assets in both space and ground. The current state of predictability of solar flares is basedTitle: Development of Statistical and Data Drive Models to Predict Solar Flares for Space Weather Collaborator: Dr. K. S. Balasubramaniam, Air Force Research Laboratory Summary: Solar flares impact Do

Johnson, Eric E.

488

Weatherization Subgrantees Reach More N.Y. Homes | Department of Energy  

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

Subgrantees Reach More N.Y. Homes Subgrantees Reach More N.Y. Homes Weatherization Subgrantees Reach More N.Y. Homes April 22, 2010 - 4:37pm Addthis Lindsay Gsell Thanks to funds from the Recovery Act, New York expanded its network of weatherization subgrantees. The state has added nine additional subgrantees to its network of 66 community-based organizations that provide energy conservation services on a local level. New York's Division of Housing and Community Renewal received slightly more than $100 million for Weatherization Assistance Program in 2009, a significant increase from its previous annual allotment of approximately $60 million. In addition to this increase in annual funding, DHCR also received $394 million in WAP stimulus funding from the Recovery Act. "New York's success has been built on a network of sub grantees and

489

What was Learned at Elmhurst (Elmhurst Rebate, An Alternative Weatherization Program).  

SciTech Connect (OSTI)

The main thrust of the experiment was to assess the effects of the Rebate program in comparison with the Buy-Back system. The key criteria were cost, convenience and customer receptivity. The programs themselves differed mainly in terms of two fundamental procedures: the audit and the cost analysis. The Buy-Back system has operated at Elmhurst and elsewhere for several years. It is based on a weatherization ''audit,'' conducted by the utility staff on homes selected consecutively from a waiting list. The Rebate plan dispenses with utility-conducted residential audits and the energy analysis calculations. Instead, it relies on weatherization installers to determine precise weatherization needs and cost factors. To assist, the utility provides the installer with a table, called a ''reimbursement calculation worksheet.''

Southwell, James W.

1986-03-01T23:59:59.000Z

490

Weatherization Assistance Program Technical Assistance Center  

SciTech Connect (OSTI)

The following is a synopsis of the major achievements attributed to the operation of the Weatherization Assistance Program Technical Assistance Center (WAPTAC) by the National Association for State Community Services Programs (NASCSP). During the past five years, the WAPTAC has developed into the premier source for information related to operating the Weatherization Assistance Program (WAP) at the state and local levels. The services provide through WAPTAC include both virtual technical support as well as hands-on training and instruction in classroom and in the field. The WAPTAC achieved several important milestones during its operation including the establishment of a national Weatherization Day now celebrated in most states, the implementation of a comprehensive Public Information Campaign (PIC) to raise the awareness of the Program among policy makers and the public, the training of more than 150 new state managers and staff as they assume their duties in state offices around the country, and the creation and support of a major virtual information source on the Internet being accessed by thousands of staff each month. The Weatherization Assistance Program Technical Assistance Center serves the Department of Energy's (DOE) Office of Weatherization and Intergovernmental Program as a valuable training and technical assistance resource for the network of 54 direct state grantees (50 states, District of Columbia and three Native American tribes) and the network of 900 local subgrantees (comprised of community action agencies, units of local government, and other non-profit organizations). The services provided through WAPTAC focus on standardizing and improving the daily management of the WAP. Staff continually identify policies changes and best practices to help the network improve its effectiveness and enhance the benefits of the Program for the customers who receive service and the federal and private investors. The operations of WAPTAC are separated into six distinct areas: (1) Orientation for New WAP State Directors and Staff; (2) Pollution Occurrence Insurance Project; (3) Public Information Campaign; (4) State Management Training Project; (5) System for Integrating and Reviewing Technologies and Techniques; and (6) WAPTAC Services.

Robert Adams

2009-01-07T23:59:59.000Z

491

Weatherization Assistance Program - Background Data and Statistics  

SciTech Connect (OSTI)

This technical memorandum is intended to provide readers with information that may be useful in understanding the purposes, performance, and outcomes of the Department of Energy's (DOE's) Weatherization Assistance Program (Weatherization). Weatherization has been in operation for over thirty years and is the nation's largest single residential energy efficiency program. Its primary purpose, established by law, is 'to increase the energy efficiency of dwellings owned or occupied by low-income persons, reduce their total residential energy expenditures, and improve their health and safety, especially low-income persons who are particularly vulnerable such as the elderly, the handicapped, and children.' The American Reinvestment and Recovery Act PL111-5 (ARRA), passed and signed into law in February 2009, committed $5 Billion over two years to an expanded Weatherization Assistance Program. This has created substantial interest in the program, the population it serves, the energy and cost savings it produces, and its cost-effectiveness. This memorandum is intended to address the need for this kind of information. Statistically valid answers to many of the questions surrounding Weatherization and its performance require comprehensive evaluation of the program. DOE is undertaking precisely this kind of independent evaluation in order to ascertain program effectiveness and to improve its performance. Results of this evaluation effort will begin to emerge in late 2010 and 2011, but they require substantial time and effort. In the meantime, the data and statistics in this memorandum can provide reasonable and transparent estimates of key program characteristics. The memorandum is laid out in three sections. The first deals with some key characteristics describing low-income energy consumption and expenditures. The second section provides estimates of energy savings and energy bill reductions that the program can reasonably be presumed to be producing. The third section deals with estimates of program cost-effectiveness and societal impacts such as carbon reduction and reduced national energy consumption. Each of the sections is brief, containing statistics, explanatory graphics and tables as appropriate, and short explanations of the statistics in order to place them in context for the reader. The companion appendices at the back of the memorandum explain the methods and sources used in developing the statistics.

Eisenberg, Joel Fred [ORNL] [ORNL

2010-03-01T23:59:59.000Z

492

Annual Energy Outlook 2001-Appendix G: Major Assumptions for the Forecasts  

Gasoline and Diesel Fuel Update (EIA)

Forecasts Forecasts Summary of the AEO2001 Cases/ Scenarios - Appendix Table G1 bullet1.gif (843 bytes) Model Results (Formats - PDF, ZIP) - Appendix Tables - Reference Case - 1998 to 2020 bullet1.gif (843 bytes) Download Report - Entire AEO2001 (PDF) - AEO2001 by Chapters (PDF) bullet1.gif (843 bytes) Acronyms bullet1.gif (843 bytes) Contacts Related Links bullet1.gif (843 bytes) Assumptions to the AEO2001 bullet1.gif (843 bytes) Supplemental Data to the AEO2001 (Only available on the Web) - Regional and more detailed AEO 2001 Reference Case Results - 1998, 2000 to 2020 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Forecast Homepage bullet1.gif (843 bytes) EIA Homepage Appendix G Major Assumptions for the Forecasts Component Modules Major Assumptions for the Annual Energy Outlook 2001

493

Characterization of the Weatherization Assistance Program network  

SciTech Connect (OSTI)

The Characterization of the Weatherization Assistance Program (WAP) Network was designed to describe the national network of State and local agencies that provide WAP services to qualifying low-income households. The objective of this study was to profile the current WAP network. To achieve the objective, two national surveys were conducted: one survey collected data from 49 State WAP agencies (including the coterminous 48 States and the District of Columbia), and the second survey collected data from 920 (or 81 percent) of the local WAP agencies.

Mihlmester, P.E.; Koehler, W.C. Jr.; Beyer, M.A. (Aspen Systems Corp., Oak Ridge, TN (United States). Applied Management Sciences Div.); Brown, M.A. (Oak Ridge National Lab., TN (United States)); Beschen, D.A. Jr. (Department of Energy, Washington, DC (United States). Office of Weatherization Assistance Programs)

1992-02-01T23:59:59.000Z

494

How to Apply for Weatherization Assistance | Department of Energy  

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

How to Apply for Weatherization Assistance How to Apply for Weatherization Assistance How to Apply for Weatherization Assistance March 24, 2009 - 12:45pm Addthis Elizabeth Spencer Communicator, National Renewable Energy Laboratory A few weeks ago, the U.S. Department of Energy announced that it was investing $8 billion into weatherization and state energy grants-$5 billion of which is going directly to the Weatherization Assistance Program. And why is that interesting? Well, the Weatherization Assistance Program provides low-income families with free-of-charge, energy efficient upgrades to their homes. A more efficient home means that you pay less every month on your energy bills-and while that's the kind of upgrade anyone can benefit from, this program helps those who need those extra dollars the

495

Arizona Foundation Expands Weatherization Training Center | Department of  

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

Arizona Foundation Expands Weatherization Training Center Arizona Foundation Expands Weatherization Training Center Arizona Foundation Expands Weatherization Training Center September 22, 2010 - 10:21am Addthis Stephen Graff Former Writer & editor for Energy Empowers, EERE To an outsider, Arizona's Foundation for Senior Living (FSL) probably sounds like an organization that deals just with retired folks. But a closer look reveals a more diverse organization. Not only does the 35-year-old nonprofit perform energy upgrades for low-income residents, but in Maricopa County and the Phoenix area it also trains a good part of the weatherization workforce to do that. Expanding building science Since 2004, more than 1,450 people have completed programs at the Foundation's weatherization training center. Now, because of Weatherization

496

Five More States Reach Major Recovery Act Weatherization Milestone |  

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

Five More States Reach Major Recovery Act Weatherization Milestone Five More States Reach Major Recovery Act Weatherization Milestone Five More States Reach Major Recovery Act Weatherization Milestone June 18, 2010 - 12:00am Addthis WASHINGTON - The U.S. Department of Energy announced today that five more states have reached a significant milestone under the American Recovery and Reinvestment Act - completing weatherization work for more than 30 percent of the homes they have planned. Now that New Hampshire, New Mexico, Montana, Minnesota, and Utah have each met this target, along with completing a series of monitoring and reporting milestones, the states will have access to the remaining 50 percent of their Recovery Act funding for the program. The Weatherization Assistance Program under the Recovery Act has weatherized more than 108,000 homes nationally, saving American

497

Mississippi Agency Weatherizing Homes, Creating Jobs | Department of Energy  

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

Mississippi Agency Weatherizing Homes, Creating Jobs Mississippi Agency Weatherizing Homes, Creating Jobs Mississippi Agency Weatherizing Homes, Creating Jobs September 20, 2010 - 5:00pm Addthis Stephen Graff Former Writer & editor for Energy Empowers, EERE What does this project do? WWISCAA has weatherized 424 low-income homes; double their total from last year. Jean Marie Hill, executive director for Warren Washington Issaquena Sharkey Community Action Agency, is happy to report her organization has doubled the amount of homes weatherized in a year since Recovery Act funds came to Mississippi. She will also tell you that she's glad WWISCAA can spend twice the amount of money to weatherize each home, from about $3,000 to $6,500. But what she really gets excited about is the job numbers. WWISCAA has gone from three contractors to 12 contractors, and the

498

EERE Celebrates Completion of 1 Million Weatherized American Homes |  

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

EERE Celebrates Completion of 1 Million Weatherized American Homes EERE Celebrates Completion of 1 Million Weatherized American Homes EERE Celebrates Completion of 1 Million Weatherized American Homes September 27, 2012 - 10:07am Addthis 1 of 6 David Poindexter with Veterans Green Jobs, puts moisture barrier and insulation into the crawl space of this Lakewood, Colorado, home. This home is part of the Energy Department's Weatherization Assistance Program that supports energy efficiency upgrades to low-income homes in Denver. In addition, the Department's Weatherization and Intergovernmental Program supports development of National Residential Retrofit Guidelines that will improve worker training and workforce development for weatherization and home improvement workers and enable these industries to increase the value of their services to homeowners. | Photo courtesy of Dennis Schroeder,

499

Celebrating the Completion of 1 Million Weatherized American Homes |  

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

Celebrating the Completion of 1 Million Weatherized American Homes Celebrating the Completion of 1 Million Weatherized American Homes Celebrating the Completion of 1 Million Weatherized American Homes Addthis 1 of 6 David Poindexter with Veterans Green Jobs, puts moisture barrier and insulation into the crawl space of this Lakewood, Colorado, home. This home is part of the Energy Department's Weatherization Assistance Program that supports energy efficiency upgrades to low-income homes in Denver. In addition, the Department's Weatherization and Intergovernmental Program supports development of National Residential Retrofit Guidelines that will improve worker training and workforce development for weatherization and home improvement workers and enable these industries to increase the value of their services to homeowners. | Photo courtesy of Dennis Schroeder,

500

Faces of the Recovery Act: National Weatherization Conference | Department  

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

National Weatherization Conference National Weatherization Conference Faces of the Recovery Act: National Weatherization Conference Addthis Description Personal stories from the 2009 National Weatherization Training Conference in Indianapolis, Indiana. Speakers Tony Gill, Dale Barth, TJ Bergeron, Zachary Stewart, Travis Sewall, Xavier Qualls, Richard Fransen Duration 5:41 Topic Home Weatherization Recovery Act Energy Sector Jobs Credit Energy Department Video SAMMY CHU: My name is Sammy Chu. I'm the director of the Long Island Green Homes program in Babylon, New York. LESLIE CAMPANELLA: My name is Leslie Campanella, and I work for the California Department of Community Services and Development. TRAVIS SEWELL: Travis Sewell, weatherization director/coordinator. DALE BARTH: Dale Barth, Dickinson, North Dakota.