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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

Dialectical theory for multi-agent assumption-based planning  

Science Conference Proceedings (OSTI)

The purpose of this paper is to introduce a dialectical theory for plan synthesis based on a multi-agent approach. This approach is a promising way to devise systems based on agent planners in which the production of a global shared plan is obtained ...

Damien Pellier; Humbert Fiorino

2005-09-01T23:59:59.000Z

2

Potential Economic Value of Ensemble-Based Surface Weather Forecasts  

Science Conference Proceedings (OSTI)

The possible economic value of the quantification of uncertainty in future ensemble-based surface weather forecasts is investigated using a formal, idealized decision model. Current, or baseline, weather forecasts are represented by probabilistic ...

Daniel S. Wilks; Thomas M. Hamill

1995-12-01T23:59:59.000Z

3

Weather  

NLE Websites -- All DOE Office Websites (Extended Search)

to the latest meteorological observations, climatological information, and weather forecast products for the Los Alamos area. December 14, 2011 Snow vortex A snow vortex in Los...

4

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

SciTech Connect

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

5

Design assumptions and bases for small D-T-fueled spherical tokamak (ST) fusion core  

SciTech Connect

Recent progress in defining the assumptions and clarifying the bases for a small D-T-fueled ST fusion core are presented. The paper covers several issues in the physics of ST plasmas, the technology of neutral beam injection, the engineering design configuration, and the center leg material under intense neutron irradiation. This progress was driven by the exciting data from pioneering ST experiments, a heightened interest in proof-of-principle experiments at the MA level in plasma current, and the initiation of the first conceptual design study of the small ST fusion core. The needs recently identified for a restructured fusion energy sciences program have provided a timely impetus for examining the subject of this paper. Our results, though preliminary in nature, strengthen the case for the potential realism and attractiveness of the ST approach.

Peng, Yueng Kay Martin [ORNL; Haines, J.R. [Oak Ridge National Laboratory (ORNL)

1996-01-01T23:59:59.000Z

6

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 . . . . . . . . . . . . . . . . . .

7

Heterogeneous Correlation Modeling Based on the Wavelet Diagonal Assumption and on the Diffusion Operator  

Science Conference Proceedings (OSTI)

This article discusses several models for background error correlation matrices using the wavelet diagonal assumption and the diffusion operator. The most general properties of filtering local correlation functions, with wavelet formulations, are ...

Olivier Pannekoucke

2009-09-01T23:59:59.000Z

8

Weather Bike: A Bicycle Based Weather Station for Observing Local Temperature Variations  

Science Conference Proceedings (OSTI)

SUMMARY. This short note has shown how a simple and inexpensive bicycle mounted portable weather station, dubbed the Weather Bike, can be used to make observations of local temperature variability. The magnitude of temperature changes observed near ...

John J. Cassano

9

Weather-based forecasts of California crop yields  

SciTech Connect

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

10

Weather forecast-based optimization of integrated energy systems.  

SciTech Connect

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

11

Probability Distribution of Precipitation Extremes for Weather Index–Based Insurance in the Zhujiang River Basin, South China  

Science Conference Proceedings (OSTI)

In a changing climate, understanding the frequency of weather extremes is crucial to improving the management of the associated risks. The concept of weather index–based insurance is introduced as a new approach in weather risk adaptation. It can ...

Thomas Fischer; Buda Su; Yong Luo; Thomas Scholten

2012-06-01T23:59:59.000Z

12

What are the Starting Points? Evaluating Base-Year Assumptions in the Asian Modeling Exercise  

SciTech Connect

A common feature of model inter-comparison efforts is that the base year numbers for important parameters such as population and GDP can differ substantially across models. This paper explores the sources and implications of this variation in Asian countries across the models participating in the Asian Modeling Exercise (AME). Because the models do not all have a common base year, each team was required to provide data for 2005 for comparison purposes. This paper compares the year 2005 information for different models, noting the degree of variation in important parameters, including population, GDP, primary energy, electricity, and CO2 emissions. It then explores the difference in these key parameters across different sources of base-year information. The analysis confirms that the sources provide different values for many key parameters. This variation across data sources and additional reasons why models might provide different base-year numbers, including differences in regional definitions, differences in model base year, and differences in GDP transformation methodologies, are then discussed in the context of the AME scenarios. Finally, the paper explores the implications of base-year variation on long-term model results.

Chaturvedi, Vaibhav; Waldhoff, Stephanie; Clarke, Leon E.; Fujimori, Shinichiro

2012-12-01T23:59:59.000Z

13

Weather-clustering based strategy design for dynamic demand response building HVAC control  

Science Conference Proceedings (OSTI)

Energy consumption and room temperature can be simulated using EnergyPlus model, given the building model, weather information, and HVAC control strategy. For a given weather forecast, however, online simulation-based optimization of the HVAC control ... Keywords: EnergyPlus, building HVAC control strategy, clustering, dynamic demand response

Rui Liao; Geng Li; Shun Miao; Yan Lu; Jianmin Zhu; Ling Shen

2012-11-01T23:59:59.000Z

14

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 SWGs usually typify weather variables with unjustified probability distributions assuming linear dependence between variables. This research proposes an alternative SWG that introduces the advantages of the Copula modeling into the reproduction of stochastic weather patterns. The Copula based SWG introduces more flexibility allowing researcher to model non-linear dependence structures independently of the marginals involved, also it is able to model tail dependence, which results in a more accurate reproduction of extreme weather events. Statistical tests on weather series simulated by the Copula based SWG show its capacity to replicate the statistical properties of the observed weather variables, along with a good performance in the reproduction of the extreme weather events. In terms of its use in crop growth models for the ratemaking process of new insurance schemes with no available historical yield data, the Copula based SWG allows one to more accurately evaluate the risk. The use of the Copula based SWG for the simulation of yields results in higher crop insurance premiums from more frequent extreme weather events, while the use of the conventional SWG for the yield estimation could lead to an underestimation of risks.

Juarez Torres, Miriam 77-

2012-12-01T23:59:59.000Z

15

What Should Be Considered When Simulating Doppler Velocities Measured by Ground-Based Weather Radars?  

Science Conference Proceedings (OSTI)

A sophisticated and flexible simulator of Doppler velocities measured by ground-based weather radars is appended to a high-resolution nonhydrostatic atmospheric model. Sensitivity experiments are conducted by using different configurations for ...

Olivier Caumont; Véronique Ducrocq

2008-08-01T23:59:59.000Z

16

Numerical Weather Prediction Studies from the FGGE Southern Hemisphere Data Base  

Science Conference Proceedings (OSTI)

The quality of numerical weather prediction available for the Southern Hemisphere from the FGGE data base has been examined. The Australian Numerical Meteorology Research Centre (ANMRC) spectral prediction model has been initialized with analyses ...

W. Bourke; K. Puri; R. Seaman

1982-12-01T23:59:59.000Z

17

Distribution and Statistics of African Mesoscale Convective Weather Systems Based on the ISCCP Meteosat Imagery  

Science Conference Proceedings (OSTI)

This paper provides for the first time an objective short-term (8 yr) climatology of African convective weather systems based on satellite imagery. Eight years of infrared International Satellite Cloud Climatology Project–European Space Agency’s ...

K. I. Hodges; C. D. Thorncroft

1997-11-01T23:59:59.000Z

18

A Weather-Pattern-Based Approach to Evaluate the Antarctic Mesoscale Prediction System (AMPS) Forecasts: Comparison to Automatic Weather Station Observations  

Science Conference Proceedings (OSTI)

Typical model evaluation strategies evaluate models over large periods of time (months, seasons, years, etc.) or for single case studies such as severe storms or other events of interest. The weather-pattern-based model evaluation technique ...

Melissa A. Nigro; John J. Cassano; Mark W. Seefeldt

2011-04-01T23:59:59.000Z

19

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

20

Ground-Based Passive Microwave Profiling during Dynamic Weather Conditions  

Science Conference Proceedings (OSTI)

Short-period (1–5 min) temperature and humidity soundings up to 10-km height are retrieved from ground-based 12-channel microwave radiometer profiler (MWRP) observations. In contrast to radiosondes, the radiometric retrievals provide very high ...

K. R. Knupp; T. Coleman; D. Phillips; R. Ware; D. Cimini; F. Vandenberghe; J. Vivekanandan; E. Westwater

2009-06-01T23:59:59.000Z

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.


21

Playing with the weather  

Science Conference Proceedings (OSTI)

In this paper the contribution of real time weather data to player enjoyment was tested and evaluated. To gauge the contribution of weather to player engagement an adaptronic, multiplayer, location based game, where real time weather data is key to the ... Keywords: adaptronic games, casual game, game, location based, multiplayer games, pervasive game, weather

Sofia Reis; Nuno Correia

2012-09-01T23:59:59.000Z

22

Weatherization and Intergovernmental Program: Weatherization...  

NLE Websites -- All DOE Office Websites (Extended Search)

Weatherization Assistance Program Quality Work Plan Requirements to someone by E-mail Share Weatherization and Intergovernmental Program: Weatherization Assistance Program Quality...

23

Object-Based Evaluation of a Storm-Scale Ensemble during the 2009 NOAA Hazardous Weather Testbed Spring Experiment  

Science Conference Proceedings (OSTI)

Object-based verification of deterministic forecasts from a convection-allowing ensemble for the 2009 NOAA Hazardous Weather Testbed Spring Experiment is conducted. The average of object attributes is compared between forecasts and observations ...

Aaron Johnson; Xuguang Wang

2013-03-01T23:59:59.000Z

24

Ensemble-Based Exigent Analysis. Part I: Estimating Worst-Case Weather-Related Forecast Damage Scenarios  

Science Conference Proceedings (OSTI)

Exigent analysis supplements an ensemble forecast of weather-related damage with a map of the worst-case scenario (WCS), a multivariate confidence bound of the damage. For multivariate Gaussian ensembles, ensemble-based exigent analysis uses a ...

Daniel Gombos; Ross N. Hoffman

2013-06-01T23:59:59.000Z

25

Statistical Forecasts Based on the National Meteorological Center's Numerical Weather Prediction System  

Science Conference Proceedings (OSTI)

The production of interpretive weather element forecasts from dynamical model output variables is now an integral part of the centralized guidance systems of weather services throughout the world. The statistical forecasting system in the United ...

Gary M. Carter; J. Paul Dallavalle; Harry R. Glahn

1989-09-01T23:59:59.000Z

26

Comparative Analysis of the Local Observation-Based (LOB) Method and the Nonparametric Regression-Based Method for Gridded Bias Correction in Mesoscale Weather Forecasting  

Science Conference Proceedings (OSTI)

The comparative analysis of three methods for objective grid-based bias removal in mesoscale numerical weather prediction models is considered. The first technique is the local observation-based (LOB) method that extends further the approaches of ...

Yulia R. Gel

2007-12-01T23:59:59.000Z

27

Operational forecasting based on a modified Weather Research and Forecasting model  

DOE Green Energy (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

28

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

Science Conference Proceedings (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

29

Weather Theory Weather Reports, Forcasts and Charts  

E-Print Network (OSTI)

GMU Weather Theory & Weather Reports, Forcasts and Charts Copyright 10/2010 AV-ED (For Reference Only) See 14CFR & AIM #12;GROUND SCHOOL / TEST SUBJECTS Session Subject Total / Actual Ques. 1 IN TEMPERATURE AS ALTITUDE INCREASES. - FREQUENT GROUND BASED TEMP INVERSION IS PRODUCED BY TERRESTRIAL RADIATION

30

Using a Fuzzy-Petri-Net-Based Approach for the Offshore Weather Prediction  

Science Conference Proceedings (OSTI)

For the huge amounts of data related to the atmospheric elements, the difficulty of weather forecasting is very large, which require an intelligent environment. To solve the problem, a fuzzy Petri net (FPN) model to represent knowledge and the behavior ... Keywords: fuzzy Petri net, weather forecasting, intelligent database, problematic behavior

Yan Chenghua; Chen Qixiang

2009-06-01T23:59:59.000Z

31

A New HadGEM3-A-Based System for Attribution of Weather- and Climate-Related Extreme Events  

Science Conference Proceedings (OSTI)

A new system for attribution of weather and climate extreme events has been developed based on the atmospheric component of the latest Hadley Centre model. The model is run with either observational data of sea surface temperature and sea ice or ...

Nikolaos Christidis; Peter A. Stott; Adam A. Scaife; Alberto Arribas; Gareth S. Jones; Dan Copsey; Jeff R. Knight; Warren J. Tennant

2013-05-01T23:59:59.000Z

32

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. . . . . . . . . . . . .

33

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

34

Identification of Aviation Weather Hazards Based on the Integration of Radar and Lightning Data  

Science Conference Proceedings (OSTI)

The National Weather Service Eastern Region is carrying out a national risk-reduction exercise at the Baltimore-Washington Forecast Office in Sterling, Virginia. The primary objective of this project is to integrate information from remote sensor ...

Andrew D. Stern; Raymond H. Brady III; Patrick D. Moore; Gary M. Carter

1994-12-01T23:59:59.000Z

35

Model-Driven, Assertion-Based Generation of Multimedia Weather Information  

Science Conference Proceedings (OSTI)

As gridded forecasts are becoming a common source of weather data, efforts are being made to automatically produce displays for various categories of decision makers such as emergency managers and road traffic officers. This paper proposes a new ...

Stephan Kerpedjiev

1995-10-01T23:59:59.000Z

36

Weather Modification from Cooling Towers: A Test Based on the Distributional Properties of Rainfall  

Science Conference Proceedings (OSTI)

A statistical technique for the treatment of data from weather modification experiments is presented. This work, a part of the Meteorological Effects of Thermal Energy Releases (METER) Program, is aimed at determining the potential precipitation ...

A. A. N. Patrinos; K. O. Bowman

1980-03-01T23:59:59.000Z

37

Weatherization and Intergovernmental Program: Weatherization Assistance  

NLE Websites -- All DOE Office Websites (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

38

IdentifyingWeather Systems from NumericalWeather Prediction Data  

Science Conference Proceedings (OSTI)

Weather systems such as tropical cyclones, fronts, troughs and ridges affect our daily lives. Yet, they are often manually located and drawn on weather charts based on forecasters' experience. To identify them, multiple atmospheric elements need to be ...

WONG Ka Yan; YIP Chi Lap; LI Ping Wah

2006-08-01T23:59:59.000Z

39

Weatherization and Intergovernmental Program: Apply for Weatherization  

NLE Websites -- All DOE Office Websites (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

40

Weatherization and Intergovernmental Program: Weatherization Services  

NLE Websites -- All DOE Office Websites (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

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

The Structure of a Fair Weather Boundary Layer Based on the Results of Several Measurement Strategies  

Science Conference Proceedings (OSTI)

A fair weather boundary layer (BL) with light winds and scattered cumulus to 1100 m is examined in the GATE C-scale triangle using data from tethered balloons, surface measurements from the booms of the ships, structure sondes and gust probe ...

Gary Barnes; George D. Emmitt; Burghard Brummer; Margaret A. LeMone; Stephen Nicholls

1980-03-01T23:59:59.000Z

42

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

43

Weather Superstitions  

NLE Websites -- All DOE Office Websites (Extended Search)

of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation WEATHER SUPERSTITIONS Charles Dudley Warner, not Mark Twain, made the famous wisecrack --...

44

Weatherization and Intergovernmental Program: Weatherization Innovation  

NLE Websites -- All DOE Office Websites (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

45

Weatherization and Intergovernmental Program: Weatherization Assistance  

NLE Websites -- All DOE Office Websites (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

46

Weatherization and Intergovernmental Program: National Weatherization  

NLE Websites -- All DOE Office Websites (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

47

Weatherization and Intergovernmental Program: Weatherization...  

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

see their annual energy bills reduced by an average of about 437, depending on fuel prices. Because the energy improvements that make up weatherization services are long...

48

Difficulties with Correcting Radar Rainfall Estimates Based on Rain Gauge Data: A Case Study of Severe Weather in Montana on 16–17 June 2007  

Science Conference Proceedings (OSTI)

The principal source of information for operational flash flood monitoring and warning issuance is weather radar–based quantitative estimates of precipitation. Rain gauges are considered truth for the purposes of validating and calibrating real-...

Steven V. Vasiloff; Kenneth W. Howard; Jian Zhang

2009-10-01T23:59:59.000Z

49

Microclimate Exposures of Surface-Based Weather Stations: Implications For The Assessment of Long-Term Temperature Trends  

Science Conference Proceedings (OSTI)

The U.S. Historical Climate Network is a subset of surface weather observation stations selected from the National Weather Service cooperative station network. The criteria used to select these stations do not sufficiently address station ...

Christopher A. Davey; Roger A. Pielke Sr.

2005-04-01T23:59:59.000Z

50

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

51

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

E-Print Network (OSTI)

MOS), Numerical Weather Prediction (NWP), Solar Forecasting of numerical weather prediction for intra?day solar solar energy applications based on aerosol chemical transport and  numerical weather 

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

52

Weather Extremes  

NLE Websites -- All DOE Office Websites (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.

53

The disciplined use of simplifying assumptions  

Science Conference Proceedings (OSTI)

Simplifying assumptions --- everyone uses them but no one's programming tool explicitly supports them. In programming, as in other kinds of engineering design, simplifying assumptions are an important method for dealing with complexity. Given a complex ...

Charles Rich; Richard C. Waters

1982-04-01T23:59:59.000Z

54

Shootout-89, A Comparative Evaluation of Knowledge-based Systems That Forecast Severe Weather  

Science Conference Proceedings (OSTI)

During the summer of 1989, the Forecast Systems Laboratory of the National Oceanic and Atmospheric Administration sponsored an evaluation of artificial-intelligence-based systems that forecast severe convective storms. The evaluation experiment, ...

W. R. Moninger; C. Lusk; W. F. Roberts; J. Bullas; Bde Lorenzis; J. C. McLeod; E. Ellison; J. Flueck; P. D. Lampru; K. C. Young; J. Weaver; R. S. Philips; R. Shaw; T. R. Stewart; S. M. Zubrick

1991-09-01T23:59:59.000Z

55

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

56

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.

57

Laser Weather Identifier: Present and Future  

Science Conference Proceedings (OSTI)

Prototype Laser Weather Identifier (LWI) systems designed to detect fog, rain and snow were tested for several months at Stapleton International Airport in Denver, and at the AFGL Weather Test Facility at Otis Air Force Base, Massachusetts. We ...

Ting-I. Wang; R. Lataitis; R. S. Lawrence; G. R. Ochs

1982-11-01T23:59:59.000Z

58

Building Energy Software Tools Directory : Weather Tool  

NLE Websites -- All DOE Office Websites (Extended Search)

Weather Tool Back to Tool Screenshot for Weather Tool. Screenshot for Weather Tool. Screenshot for Weather...

59

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

Science Conference Proceedings (OSTI)

Current land surface schemes used for mesoscale weather forecast models use the Jarvis-type stomatal resistance formulations for representing the vegetation transpiration processes. The Jarvis scheme, however, despite its robustness, needs ...

Dev Niyogi; Kiran Alapaty; Sethu Raman; Fei Chen

2009-02-01T23:59:59.000Z

60

All-Weather Hydrogen Peroxide-Based Decontamination of CBRN Contaminants  

SciTech Connect

A hydrogen peroxide-based decontaminant, Decon Green, is efficacious for the decontamination of chemical agents VX (S-2-(diisopropylamino)ethyl O-ethyl methylphosphonothioate), GD (Soman, pinacolyl methylphosphonofluoridate), and HD (mustard, bis(2-chloroethyl) sulfide); the biological agent anthrax (Bacillus anthracis); and radiological isotopes Cs-137 and Co-60; thus demonstrating the ability of this decontamination approach to ameliorate the aftermath of all three types of weapons of mass destruction (WMD). Reaction mechanisms afforded for the chemical agents are discussed as are rationales for the enhanced removal efficacy of recalcitrant 60Co on certain surfaces. Decontaminants of this nature can be deployed, and are effective, at very low temperatures (-32 ?C), as shown for studies done with VX and HD simulants, without the need for external heat sources. Finally, the efficacy of a lower-logistics, dry decontaminant powder concentrate (utilizing the solid active-oxygen compounds peracetyl borate and Peroxydone) which can be reconstituted with water in the field prior to use, is presented.

Wagner, George W.; Procell, Lawrence R.; Sorrick, David C.; Lawson, Glenn E.; Wells, Claire M.; Reynolds, Charles M.; Ringelberg, D. B.; Foley, Karen L.; Lumetta, Gregg J.; Blanchard, David L.

2010-04-07T23:59:59.000Z

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.


61

Assumptions to the Annual Energy Outlook 2012  

U.S. Energy Information Administration (EIA)

Assumptions to the Annual Energy Outlook 2012 August 2012 www.eia.gov U.S. Department of Energy Washington, DC 20585

62

Commercial Weatherization | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.

63

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.

64

Minding the Weather  

Science Conference Proceedings (OSTI)

Weather salience is a construct that pertains to the psychological value, significance, and attunement that people have for the weather and its changes. In this article the author describes the construct of weather salience and a measure that was ...

Alan E. Stewart

2009-12-01T23:59:59.000Z

65

NEWTON's Weather Videos  

NLE Websites -- All DOE Office Websites (Extended Search)

day. Learn about all sorts of weather phenomena or just get a video of your daily forecast. NOAA Weather Partner's Videos NOAA Weather Partner's Videos The National Oceanic and...

66

NEWTON's Weather Links  

NLE Websites -- All DOE Office Websites (Extended Search)

References Do you have a great weather reference link? Please click our Ideas page. Featured Reference Links: NOAA Teachers Support Page NOAA Teachers Support Page for Weather and...

67

Weather: Project homepage  

NLE Websites -- All DOE Office Websites (Extended Search)

data with weather measurement instruments, interpreting the data, and forecasting weather conditions. Students use the Internet as a tool to research information, share...

68

Climate Action Planning Tool Formulas and Assumptions  

NLE Websites -- All DOE Office Websites (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.

69

Hierarchy of Mesoscale Flow Assumptions and Equations  

Science Conference Proceedings (OSTI)

The present research proposes a standard nomenclature for mesoscale meteorological concepts and integrates existing concepts of atmospheric space scales, flow assumptions, governing equations, and resulting motions into a hierarchy useful in ...

P. Thunis; R. Bornstein

1996-02-01T23:59:59.000Z

70

Weatherization and Intergovernmental Program: History of the Weatherization  

NLE Websites -- All DOE Office Websites (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...

71

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.

72

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

73

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

74

Linking Weather and Climate  

Science Conference Proceedings (OSTI)

Historically, the atmospheric sciences have tended to treat problems of weather and climate separately. The real physical system, however, is a continuum, with short-term (minutes to days) “weather” fluctuations influencing climate variations and ...

Randall M. Dole

2008-11-01T23:59:59.000Z

75

Demand Impacted by Weather  

U.S. Energy Information Administration (EIA)

When you look at demand, it’s also interesting to note the weather. The weather has a big impact on the demand of heating fuels, if it’s cold, consumers will use ...

76

Weather and Individual Happiness  

Science Conference Proceedings (OSTI)

This paper investigates the influence of weather on happiness. While previous studies have examined climatic influence by comparing the well-being of people living in different regions, this paper focuses on how daily changes in weather affect ...

Yoshiro Tsutsui

2013-01-01T23:59:59.000Z

77

Weatherization & Intergovernmental Program: Projects  

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

& Intergovernmental Program Projects Site Map Bookmark and Share Projects From energy efficiency initiatives - such as residential weatherization and state capitol...

78

Weatherization pays big dividends  

SciTech Connect

Weather Windows, do-it-yourself indoor vinyl storm windows, are a major project of the Duke Power Co. Weatherization Program. Various weatherization programs in existence across the United States are discussed, emphasizing their public relations aspects as well as the service they provide to customers regarding savings on electric bills. 1 figure.

Gorzelnik, E.F.

1983-11-01T23:59:59.000Z

79

The power of weather  

Science Conference Proceedings (OSTI)

Weather information demonstrates predictive power in forecasting electricity prices in day-ahead markets in real time. In particular, next-day weather forecasts improve the forecast accuracy of Scandinavian day-ahead electricity prices in terms of point ... Keywords: Electricity prices, GARCH models, Point and density forecasts, Weather forecasts

Christian Huurman; Francesco Ravazzolo; Chen Zhou

2012-11-01T23:59:59.000Z

80

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

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  

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

82

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.

83

Clark Public Utilities - Residential Weatherization Loan Program |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

84

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

85

Weatherization and Intergovernmental Program: Apply for Weatherization...  

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

missed. How will I benefit by participating in this program? Weatherization reduces your energy bills for a long time. Some measures, such as insulating your walls or roof, for...

86

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 avoidance capability has increased. In this thesis, an intelligent weather agent is developed for general aviation aircraft. Using a radar image from an onboard weather radar, the intelligent weather agent determines the safest path around severe weather with a minimum detour in distance. The method used is the Simplified Memory Bounded A* search technique that reduces computation time and memory requirements. The algorithm for A* search using the heuristic function is initially developed and evaluated in non-real-time form using Matlab, and demonstrated to be reliable and fast in flight path re-routing for stationary thunderstorms as well as moving thunderstorms. It is extended into a real-time version coded in Borland C++, and integrated with the existing Simplified Flight Management System and coupled with the heading command and hold autopilot of the nonlinear, non-real-time, six degrees-of-freedom Engineering Flight Simulator. Test cases consisting of stationary and moving thunderstorms are used to evaluate the intelligent weather agent online, in real-time. Results demonstrate that the new path suggested by the algorithm developed in this thesis is about 1% to 25% longer than the original path depending upon the size of the thunderstorm that lies in the original path. The detours in the test cases ranged from about 1 mile to 11 miles over and above the original path length. The algorithm did not exhibit any critical failures in the test cases and proved to be robust. The intelligent weather agent, when integrated with the Simplified Flight Management System and coupled with the heading command and hold autopilot, provides an effective and reliable guidance and navigation system for generating safe, alternate flight paths around thunderstorms and squall lines. It also forms the basis for the severe weather agent component of a broader hierarchical intelligent agent based system for free-flight guidance.

Bokadia, Sangeeta

2002-01-01T23:59:59.000Z

87

Visually Accurate Multi-Field Weather Visualization  

Science Conference Proceedings (OSTI)

Weather visualization is a difficult problem because it comprises volumetric multi-field data and traditional surface-based approaches obscure details of the complex three-dimensional structure of cloud dynamics. Therefore, visually accurate volumetric ... Keywords: Multi-Field Visualization, Visually Accurate Visualization, Weather Visualization

Kirk Riley; David Ebert; Charles Hansen; Jason Levit

2003-10-01T23:59:59.000Z

88

Residential Weatherization Study: 1987 Resource Strategy.  

SciTech Connect

The Residential Weatherization Program involves the installation of measures in existing homes. It is operated primarily through Bonneville's utility customers. Bonneville pays homeowners an incentive based upon the estimated energy savings obtained from installing Bonneville-approved weatherization efficiency measures.

United States. Bonneville Power Administration.

1987-05-01T23:59:59.000Z

89

Early Warnings of Severe Weather from Ensemble Forecast Information  

Science Conference Proceedings (OSTI)

A system has been developed to give probabilistic warnings of severe-weather events for the United Kingdom (UK) on a regional and national basis, based on forecast output from the European Centre for Medium-Range Weather Forecasts (ECMWF) ...

T. P. Legg; K. R. Mylne

2004-10-01T23:59:59.000Z

90

Assumptions to Annual Energy Outlook - Energy Information Administrati...  

Annual Energy Outlook 2012 (EIA)

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...

91

Assumptions to the Annual Energy Outlook - Table 41  

Annual Energy Outlook 2012 (EIA)

> Forecasts >Assumptions to the Annual Energy Outlook> Download Report Assumption to the Annual Energy Outlook Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF...

92

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).

93

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 EnergyÂ’s Office of Policy and International Affairs, other DOE offices, and other government agencies.

94

Weather and Joints  

NLE Websites -- All DOE Office Websites (Extended Search)

Humidity and air pressure changes, which accompany changes in weather, can sometimes be felt in the human body, some people are affected more than others. Arthritis in joints...

95

Educational Weather Games  

NLE Websites -- All DOE Office Websites (Extended Search)

Games Do you have a great weather game? Please click our Ideas page. Featured Games: NOAA - Planet Arcade NOAA - Planet Arcade The National Oceanic and Atmospheric Administration...

96

CONTAM Weather Program Description  

Science Conference Proceedings (OSTI)

... spreadsheet program. The tool can convert Energy Plus weather files (EPW files) to WTH files. EPW files can be found on the US ...

97

The Entire Weather Archive  

NLE Websites -- All DOE Office Websites (Extended Search)

Stroke Length Hurricanes Joining Fog Predicting Snow? Temperature Effecting Dew Point Solar Storms and Earth Weather Sea Fog Formation More Rain at Night than Day Jet Streams...

98

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.

99

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

100

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

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 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

102

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

103

Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and  

Alternative Fuels and Advanced Vehicles Data Center (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...

104

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.

105

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.

106

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.

107

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

Science Conference Proceedings (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

108

Weather-Index Drought Insurance in Burkina-Faso: Assessment of Its Potential Interest to Farmers  

Science Conference Proceedings (OSTI)

By using a detailed agricultural and climate dataset over Burkina-Faso and simple assumptions regarding the form of an insurance contract, the authors investigate the potential economic efficiency for farmers of a weather-index insurance system ...

Alexis Berg; Philippe Quirion; Benjamin Sultan

2009-10-01T23:59:59.000Z

109

Weatherization and Intergovernmental Program: About  

NLE Websites -- All DOE Office Websites (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

110

Weather Derivatives and Weather Insurance: Concept, Application, and Analysis  

Science Conference Proceedings (OSTI)

The concept and applications of weather derivatives and weather insurance are introduced. Proper analysis of these financial instruments requires both statistical knowledge and thorough understanding of the physical weather and climate process. A ...

Lixin Zeng

2000-09-01T23:59:59.000Z

111

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.

112

Weatherized in January  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

**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

113

NEWTON's Weather Archive  

NLE Websites -- All DOE Office Websites (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

114

Weather Noise Forcing of Surface Climate Variability  

Science Conference Proceedings (OSTI)

A model-based method to evaluate the role of weather noise forcing of low-frequency variability of surface properties, including SST, surface currents, land surface temperature, and soil moisture, is presented. In this procedure, an “interactive ...

Edwin K. Schneider; Meizhu Fan

2007-09-01T23:59:59.000Z

115

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).

116

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).

117

A 5-yr 40-km-Resolution Global Climatology of Superrefraction for Ground-Based Weather Radars  

Science Conference Proceedings (OSTI)

The propagation of electromagnetic waves emitted from ground-based meteorological radars is determined by the stratification of the atmosphere. In extreme superrefractive situations characterized by strong temperature inversions or strong ...

Philippe Lopez

2009-01-01T23:59:59.000Z

118

Weather Modification: Finding Common Ground  

Science Conference Proceedings (OSTI)

Research and operational approaches to weather modification expressed in the National Research Council's 2003 report on “Critical Issues in Weather Modification Research” and in the Weather Modification Association's response to that report form ...

Michael Garstang; Roelof Bruintjes; Robert Serafin; Harold Orville; Bruce Boe; William Cotton; Joseph Warburton

2005-05-01T23:59:59.000Z

119

CONTAM Overview - Weather and Wind  

Science Conference Proceedings (OSTI)

... weather data is implemented through the use of weather files or ... experiments or atmospheric models, eg, plume or puff dispersion simulation tools. ...

120

Controlling The Global Weather  

Science Conference Proceedings (OSTI)

The earth's atmosphere may be chaotic and very likely is sensitive to small perturbations. Certainly, very simple nonlinear dynamical models of the atmosphere are chaotic, and the most realistic numerical weather prediction models arevery ...

Ross N. Hoffman

2002-02-01T23:59:59.000Z

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.


121

Waste glass weathering  

Science Conference Proceedings (OSTI)

The weathering of glass is reviewed by examining processes that affect the reaction of commercial, historical, natural, and nuclear waste glass under conditions of contact with humid air and slowly dripping water, which may lead to immersion in nearly static solution. Radionuclide release data from weathered glass under conditions that may exist in an unsaturated environment are presented and compared to release under standard leaching conditions. While the comparison between the release under weathering and leaching conditions is not exact, due to variability of reaction in humid air, evidence is presented of radionuclide release under a variety of conditions. These results suggest that both the amount and form of radionuclide release can be affected by the weathering of glass.

Bates, J.K.; Buck, E.C.

1993-12-31T23:59:59.000Z

122

A Synoptic Weather Pattern and Sounding-Based Climatology of Freezing Precipitation in the United States East of the Rocky Mountains  

Science Conference Proceedings (OSTI)

An analysis of 411 winter storms that produced freezing precipitation events in the United States east of the Rocky Mountains over the 25-yr period of 1970–94 is presented to identify specific weather patterns associated with freezing ...

Robert M. Rauber; Larry S. Olthoff; Mohan K. Ramamurthy; Dianne Miller; Kenneth E. Kunkel

2001-10-01T23:59:59.000Z

123

Workstation-Based Real-Time Mesoscale Modeling Designed for Weather Support to Operations at the Kennedy Space Center and Cape Canaveral Air Station  

Science Conference Proceedings (OSTI)

This paper describes the capabilities and operational utility of a version of the Mesoscale Atmospheric Simulation System (MASS) that has been developed to support operational weather forecasting at the Kennedy Space Center (KSC) and Cape ...

John Manobianco; Gregory E. Taylor; John W. Zack

1996-04-01T23:59:59.000Z

124

Space Weather 101  

Science Conference Proceedings (OSTI)

This report describes the basic physical concepts associated with space weather that pertain to the effects on high-voltage power transmission systems. Space weather is an extremely complex and multi-faceted phenomenon. To focus on power grid–related effects, the report addresses coronal mass ejections, which are known to be the most important driver of large geomagnetically induced currents, and describes ongoing research that is being conducted to better understand, predict, and mitigate the ...

2012-11-30T23:59:59.000Z

125

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,

126

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

127

Weather Normalization of Reliability Indices  

Science Conference Proceedings (OSTI)

Weather significantly increases variability of reliability indices. This project focuses on exploring statistical correlations between weather parameters and system performance indices using historical utility reliability data and weather data. Using this information, various approaches for normalizing utility performance indices for variability in weather can be developed.

2008-12-22T23:59:59.000Z

128

Northeast electricity markets react to hot weather in late May ...  

U.S. Energy Information Administration (EIA)

Tools; Glossary › All ... Northeast electricity markets react to hot weather in late May. Source: U.S. Energy Information Administration, based on New York ...

129

Development of a Weather Database for Building Energy Analyses...  

NLE Websites -- All DOE Office Websites (Extended Search)

Location: 90-4133 Seminar HostPoint of Contact: Nan Zhou Based on the observational weather data, the typical meteorological year (TMY) is developed for 360 Chinese...

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

Testing model assumptions in functional regression models  

Science Conference Proceedings (OSTI)

In the functional regression model where the responses are curves, new tests for the functional form of the regression and the variance function are proposed, which are based on a stochastic process estimating L^2-distances. Our approach avoids the explicit ... Keywords: 62G10, Functional data, Goodness-of-fit tests, Parametric bootstrap, Tests for heteroscedasticity

Axel Bücher; Holger Dette; Gabriele Wieczorek

2011-11-01T23:59:59.000Z

132

Portland Diversifying Weatherization Workforce | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

133

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

134

Building simulation weather forecast files for predictive control strategies  

Science Conference Proceedings (OSTI)

Model-Based Predictive Control (MPC) has received significant attention in recent years as a tool for load management in buildings. MPC is based on predicting the response of a system based on knowledge of future inputs, such as weather and occupancy. ... Keywords: EPW files, building simulation, predictive control, weather forecast

José. A. Candanedo; Éric Paradis; Meli Stylianou

2013-04-01T23:59:59.000Z

135

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.

136

Cold Weather Hazards  

NLE Websites -- All DOE Office Websites (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

137

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)

138

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

139

Weatherization and Intergovernmental Program: News  

NLE Websites -- All DOE Office Websites (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

140

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.

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.


141

EIA - Assumptions to the Annual Energy Outlook 2009 - Coal Market...  

Annual Energy Outlook 2012 (EIA)

of mining equipment, the cost of factor inputs (labor and fuel), and other mine supply costs. The key assumptions underlying the coal production modeling are: As capacity...

142

Assumptions to the Annual Energy Outlook - Macroeconomic Activity...  

Annual Energy Outlook 2012 (EIA)

Macroeconomic Activity Module Assumption to the Annual Energy Outlook Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the...

143

Weatherized in October  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

144

Weatherized in November  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

145

Weather and Joints  

NLE Websites -- All DOE Office Websites (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).

146

Weather Derivatives Introduction  

E-Print Network (OSTI)

conditions had always been recognized as one of the most significant factors affecting energy consumption are geared to an index of Cooling Degree Day (CDD) values, days in which energy is used for air conditioning for air conditioning. #12;The problem of weather risk #12;Measuring Monthly Index Values · Monthly HDD

Etherton, Brian J.

147

Weatherization Works: An interim report of the National Weatherization Evaluation  

SciTech Connect

The National Weatherization Evaluation is the first comprehensive evaluation of the Weatherization Assistance Program since 1984. The evaluation was designed to accomplish the following goals: Estimate energy savings and cost effectiveness; Assess nonenergy impacts; Describe the weatherization network; Characterize the eligible population and resources; and Identify factors influencing outcomes and opportunities for the future. As a national program, weatherization incorporates considerable diversity due to regional differences. Therefore, evaluation results are presented both in aggregate and for three climate regions: cold, moderate and hot.

Brown, M.A.; Berry, L.G. [Oak Ridge National Lab., TN (United States); Kinney, L.F. [Synertech Systems Corp., Syracuse, NY (United States)

1993-11-01T23:59:59.000Z

148

The Influence of Hydrologic Modeling on the Predicted Local Weather: Two-Way Coupling of a Mesoscale Weather Prediction Model and a Land Surface Hydrologic Model  

Science Conference Proceedings (OSTI)

A two-way coupling of the operational mesoscale weather prediction model known as Lokal Modell (LM; German Weather Service) with the land surface hydrologic “TOPMODEL”-Based Land Surface–Atmosphere Transfer Scheme (TOPLATS; Princeton University) ...

G. Seuffert; P. Gross; C. Simmer; E. F. Wood

2002-10-01T23:59:59.000Z

149

CloudCast: Cloud Computing for Short-Term Weather Forecasts  

Science Conference Proceedings (OSTI)

CloudCast provides clients with personalized short-term weather forecasts based on their current location using cloud services

Dilip Kumar Krishnappa; David Irwin; Eric Lyons; Michael Zink

2013-01-01T23:59:59.000Z

150

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

151

Fire Weather Outlooks | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

of Fire Weather Outlook areas - a Critical Fire Weather Area for Wind and Relative Humidity, an Extremely Critical Fire Weather Area for Extreme Conditions of Wind and Relative...

152

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.

153

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

154

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.

155

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.

156

New Hampshire Weatherization Gets a Funding Boost | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

157

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

158

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

159

Lane Electric Cooperative - Residential and Commercial Weatherization...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

and Commercial Weatherization Grant Program Lane Electric Cooperative - Residential and Commercial Weatherization Grant Program Eligibility Commercial Low-Income Residential...

160

Weatherization Assistance Program: Spurring Innovation, Increasing...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Weatherization Assistance Program: Spurring Innovation, Increasing Home Energy Efficiency Weatherization Assistance Program: Spurring Innovation, Increasing Home Energy Efficiency...

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

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

162

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

163

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

164

Prognostic Evaluation of Assumptions Used by Cumulus Parameterizations  

Science Conference Proceedings (OSTI)

Using a spectral-type cumulus parameterization that includes moist downdrafts within a three-dimensional mesoscale model, various disparate closure assumptions are systematically tested within the generalized framework of dynamic control, static ...

Georg A. Grell

1993-03-01T23:59:59.000Z

165

Computational soundness for standard assumptions of formal cryptography  

E-Print Network (OSTI)

This implementation is conceptually simple, and relies only on general assumptions. Specifically, it can be thought of as a 'self-referential' variation on a well-known encryption scheme. 4. Lastly, we show how the ...

Herzog, Jonathan, 1975-

2004-01-01T23:59:59.000Z

166

LBL-34045 UC-1600 Residential HVAC Data, Assumptions and Methodology  

NLE Websites -- All DOE Office Websites (Extended Search)

5 UC-1600 Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1 Francis X. Johnson, Richard E. Brown, James W. Hanford, Alan H. Sanstad and...

167

Assumptions to the Annual Energy Outlook 1999 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

bullet1.gif (843 bytes) Feedback link.gif (1946 bytes) bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) Interactive Data Queries to the AEO99 bullet1.gif...

168

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.

169

Idaho National Engineering Laboratory installation roadmap assumptions document. Revision 1  

SciTech Connect

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

170

Application of a WRF Mesoscale Data Assimilation System to Springtime Severe Weather Events 2007–09  

Science Conference Proceedings (OSTI)

An ensemble-based data assimilation system using the Weather Research and Forecasting Model (WRF) has been used to initialize forecasts of prolific severe weather events from springs 2007 to 2009. These experiments build on previous work that has ...

Dustan M. Wheatley; David J. Stensrud; David C. Dowell; Nusrat Yussouf

2012-05-01T23:59:59.000Z

171

NREL: MIDC/NWTC M2 Real-Time Weather Display  

NLE Websites -- All DOE Office Websites (Extended Search)

NWTC M2 Real-Time Weather Display This page should automatically refresh every minute. A text based weather display for PDAs is also available. NREL MIDC NWTC M2...

172

Fish, Weather and People  

NLE Websites -- All DOE Office Websites (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.

173

Utilities weather the storm  

SciTech Connect

Utilities must restore power to storm-damaged transmission and distribution systems, even if it means going out in ice storms or during lightning and hurricane conditions. Weather forecasting helps utilities plan for possible damage as well as alerting them to long-term trends. Storm planning includes having trained repair personnel available and adjusting the system so that less power imports are needed. Storm damage response requires teamwork and cooperation between utilities. Utilities can strengthen equipment in storm-prone or vulnerable areas, but good data are necessary to document the incidence of lighning strikes, hurricanes, etc. 2 references, 8 figures.

Lihach, N.

1984-11-01T23:59:59.000Z

174

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

175

Weatherization Assistance Program: Spurring Innovation, Increasing Home  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

176

Evolution of porosity and geochemistry in Marcellus Formation black shale during weathering  

Science Conference Proceedings (OSTI)

Soils developed on the Oatka Creek member of the Marcellus Formation in Huntingdon, Pennsylvania were analyzed to understand the evolution of black shale matrix porosity and the associated changes in elemental and mineralogical composition during infiltration of water into organic-rich shale. Making the reasonable assumption that soil erosion rates are the same as those measured in a nearby location on a less organic-rich shale, we suggest that soil production rates have on average been faster for this black shale compared to the gray shale in similar climate settings. This difference is attributed to differences in composition: both shales are dominantly quartz, illite, and chlorite, but the Oatka Creek member at this location has more organic matter (1.25 wt.% organic carbon in rock fragments recovered from the bottom of the auger cores and nearby outcrops) and accessory pyrite. During weathering, the extremely low-porosity bedrock slowly disaggregates into shale chips with intergranular pores and fractures. Some of these pores are eitherfilled with organic matter or air-filled but remain unconnected, and thus inaccessible to water. Based on weathering bedrock/soil profiles, disintegration is initiated with oxidation of pyrite and organic matter, which increases the overall porosity and most importantly allows water penetration. Water infiltration exposes fresh surface area and thus promotes dissolution of plagioclase and clays. As these dissolution reactions proceed, the porosity in the deepest shale chips recovered from the soil decrease from 9 to 7% while kaolinite and Fe oxyhydroxides precipitate. Eventually, near the land surface, mineral precipitation is outcompeted by dissolution or particle loss of illite and chlorite and porosity in shale chips increases to 20%. As imaged by computed tomographic analysis, weathering causes i) greater porosity, ii) greater average length of connected pores, and iii) a more branched pore network compared to the unweathered sample. This work highlights the impact of shale water O2interactions in near-surface environments: (1) black shale weathering is important for global carbon cycles as previously buried organic matter is quickly oxidized; and (2) black shales weather more quickly than less organic- and sulfide-rich shales, leading to high porosity and mineral surface areas exposed for clay weathering. The fast rates of shale gas exploitation that are ongoing in Pennsylvania, Texas and other regions in the United States may furthermore lead to release of metals to the environment if reactions between water and black shale are accelerated by gas development activities in the subsurface just as they are by low-temperature processes in ourfield study.

Jin, Lixin [University of Texas at El Paso; Ryan, Mathur [Juniata College, Huntingdon; Rother, Gernot [ORNL; Cole, David [Ohio State University; Bazilevskaya, Ekaterina [Pennsylvania State University, University Park, PA; Williams, Jennifer [Pennsylvania State University; Alex, Carone [Pennsylvania State University; Brantley, S. L. [Pennsylvania State University, University Park, PA

2013-01-01T23:59:59.000Z

177

Evolution of porosity and geochemistry in Marcellus Formation black shale during weathering  

Science Conference Proceedings (OSTI)

Soils developed on the Oatka Creek member of the Marcellus Formation in Huntingdon, Pennsylvania were analyzed to understand the evolution of black shale matrix porosity and the associated changes in elemental and mineralogical composition during infiltration of water into organic-rich shale. Making the reasonable assumption that soil erosion rates are the same as those measured in a nearby location on a less organic-rich shale, we suggest that soil production rates have on average been faster for this black shale compared to the gray shale in similar climate settings. This difference is attributed to differences in composition: both shales are dominantly quartz, illite, and chlorite, but the Oatka Creek member at this location has more organic matter (1.25 wt% organic carbon in rock fragments recovered from the bottom of the auger cores and nearby outcrops) and accessory pyrite. During weathering, the extremely low-porosity bedrock slowly disaggregates into shale chips with intergranular pores and fractures. Some of these pores are either filled with organic matter or air-filled but remain unconnected, and thus inaccessible to water. Based on weathering bedrock/soil profiles, disintegration is initiated with oxidation of pyrite and organic matter, which increases the overall porosity and most importantly allows water penetration. Water infiltration exposes fresh surface area and thus promotes dissolution of plagioclase and clays. As these dissolution reactions proceed, the porosity in the deepest shale chips recovered from the soil decrease from 9 to 7 % while kaolinite and Fe oxyhydroxides precipitate. Eventually, near the land surface, mineral precipitation is outcompeted by dissolution or particle loss of illite and chlorite and porosity in shale chips increases to 20%. As imaged by computed tomographic analysis, weathering causes i) greater porosity, ii) greater average length of connected pores, and iii) a more branched pore network compared to the unweathered sample. This work highlights the impact of shale-water-O2 interactions in near-surface environments: (1) black shale weathering is important for global carbon cycles as previously buried organic matter is quickly oxidized; and (2) black shales weather more quickly than less organic- and sulfide-rich shales, leading to high porosity and mineral surface areas exposed for clay weathering. The fast rates of shale gas exploitation that are ongoing in Pennsylvania, Texas and other regions in the United States may furthermore lead to release of metals to the environment if reactions between water and black shale are accelerated by gas development activities in the subsurface just as they are by low-temperature processes in our field study.

Jin, Lixin [ORNL; Mathur, Ryan [Juniata College, Huntingdon; Rother, Gernot [ORNL; Cole, David [Ohio State University; Bazilevskaya, Ekaterina [Pennsylvania State University, University Park, PA; Williams, Jennifer [Pennsylvania State University; Carone, Alex [Pennsylvania State University, University Park, PA; Brantley, Susan L [ORNL

2013-01-01T23:59:59.000Z

178

Weatherization Apprenticeship Program  

SciTech Connect

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

179

Weatherization Roundup | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

180

Bishop Paiute Weatherization Training Program  

SciTech Connect

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

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

CONTAM Weather File Creator Help  

Science Conference Proceedings (OSTI)

... Then enter the start and end date for Daylight Savings Time. First Day of the Year. ... Converting an Energy Plus Weather File. ...

182

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

Science Conference Proceedings (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

183

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

184

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

185

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

186

EERE: Weatherization and Intergovernmental Program - Site Map  

NLE Websites -- All DOE Office Websites (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

187

Application of soft computing models to hourly weather analysis in southern Saskatchewan, Canada  

Science Conference Proceedings (OSTI)

Accurate weather forecasts are necessary for planning our day-to-day activities. However, dynamic behavior of weather makes the forecasting a formidable challenge. This study presents a soft computing model based on a radial basis function network (RBFN) ... Keywords: Artificial neural networks, Decision support, Forecasting, Modeling, Simulation, Soft computing, Weather

Imran Maqsood; Muhammad Riaz Khan; Guo H. Huang; Rifaat Abdalla

2005-02-01T23:59:59.000Z

188

Particle simulations of space weather  

Science Conference Proceedings (OSTI)

We review the application of particle simulation techniques to the full kinetic study of space weather events. We focus especially on the methods designed to overcome the difficulties created by the tremendous range of time and space scales present in ... Keywords: Adaptive, Implicit, Particle-in-cell, Space weather

Giovanni Lapenta

2012-02-01T23:59:59.000Z

189

An augmented reality weather system  

Science Conference Proceedings (OSTI)

This paper presents ARWeather, a simulation application, which can simulate three types of precipitation: rain, snow, and hail. We examined a range of weather phenomenon and how they may be simulated in a mobile augmented reality system. ARWeather was ... Keywords: augmented reality, multimodal weather simulation

Marko Heinrich; Bruce H. Thomas; Stefan Mueller; Christian Sandor

2008-12-01T23:59:59.000Z

190

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

191

A Comparison of the Free Ride and CISK Assumptions  

Science Conference Proceedings (OSTI)

In a recent paper Fraedrich and McBride have studied the relation between the “free ride” and CISK (conditional instability of the second kind) assumptions in a well-known two-layer model. Here the comparison is extended to a more general case. ...

Torben Strunge Pedersen

1991-08-01T23:59:59.000Z

192

Home Weatherization | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

193

Weathering and Protection of Wood  

E-Print Network (OSTI)

Introduction When wood is exposed outdoors, above ground, a complex combination of chemical, mechanical, and light energy factors contribute to what is described as weathering (38). Weathering is not to be confused with decay, which results from decay organisms (fungi) acting in the presence of excess moisture and air for an extended period of time (34). Under conditions suitable for the development of decay, wood can deteriorate rapidly and the result is far different than that observed for natural outdoor weathering, Outdoor Weathering Process In outdoor weathering of smooth wood, original surfaces become rough as grain raises and the wood checks, and the checks grow into large cracks; grain may loosen, boards cup and warp and pull away from fasteners (Figs. 1 and 2), The roughened surface changes color, gathers dirt and mildew, and may become unsightly; the wood loses its surface coherence and becomes friable, splinters, and frag ments come off. All these e

William C. Feist

1983-01-01T23:59:59.000Z

194

Weather Value at Risk: On the Measurement of Noncatastrophic Weather Risk  

Science Conference Proceedings (OSTI)

An evaluation of weather risk entails two important objectives: indicating the economic impact of weather variability and climate change, and evaluating the use of weather derivatives in weather risk reduction and climate change adaptation ...

Christoph Toeglhofer; Roland Mestel; Franz Prettenthaler

2012-07-01T23:59:59.000Z

195

A Century of Monitoring Weather and Crops: The Weekly Weather and Crop Bulletin  

Science Conference Proceedings (OSTI)

Publication of a national weekly weather summary called the Weekly Weather Chronicle began in 1872. This summary was the precursor of today's Weekly Weather and Crop Bulletin (WWCB), a publication that reports global weather and climate ...

Thomas R. Heddinghaus; Douglas M. Le Comte

1992-02-01T23:59:59.000Z

196

Transition of Weather Research to Operations: Opportunities and Challenges  

Science Conference Proceedings (OSTI)

The National Weather Service (NWS) of the United States has recently completed its modernization phase. This comprehensive modernization has put into place new observing systems, both ground-based and in space. Themodernization has also involved ...

Robert J. Serafin; Alexander E. Macdonald; Robert L. Gall

2002-03-01T23:59:59.000Z

197

Reconstruction of Aircraft Trajectories from AMDAR Weather Reports  

Science Conference Proceedings (OSTI)

It is well known that aircraft-based meteorological measurements exhibit systematic errors depending on various flight dynamic parameters. It is also widely assumed that operational Aircraft Meteorological Data Relay (AMDAR) weather reports by ...

Clemens Drüe

2011-07-01T23:59:59.000Z

198

Operational Monitoring of Weather Radar Receiving Chain Using the Sun  

Science Conference Proceedings (OSTI)

A method for operational monitoring of a weather radar receiving chain, including the antenna gain and the receiver, is presented. The “online” method is entirely based on the analysis of sun signals in the polar volume data produced during ...

Iwan Holleman; Asko Huuskonen; Mikko Kurri; Hans Beekhuis

2010-01-01T23:59:59.000Z

199

Bayesian Approach to Decision Making Using Ensemble Weather Forecasts  

Science Conference Proceedings (OSTI)

The economic value of ensemble-based weather or climate forecasts is generally assessed by taking the ensembles at “face value.” That is, the forecast probability is estimated as the relative frequency of occurrence of an event among a limited ...

Richard W. Katz; Martin Ehrendorfer

2006-04-01T23:59:59.000Z

200

Weatherization works: Final report of the National Weatherization Evaluation  

SciTech Connect

In 1990, the U.S. Department of Energy (DOE) sponsored a comprehensive evaluation of its Weatherization Assistance Program, the nation`s largest residential energy conservation program. Oak Ridge National Laboratory (ORNL) managed the five-part study. This document summarizes the findings of the evaluation. Its conclusions are based mainly on data from the 1989 program year (supplemented by data from 1991-92). The evaluation concludes that the Program meets the objectives of its enabling legislation and fulfills its mission statement. Specifically, it (1) saves energy, (2) lowers fuel bills, and (3) improves the health and safety of dwellings occupied by low-income people. In addition, the Program achieves its mission in a cost-effective manner based on each of three perspectives employed by the evaluators. Finally, the evaluation estimates that the investments made in 1989 will, over a 20-year lifetime, save the equivalent of 12 million barrels of oil, roughly the amount of oil added to the Strategic Petroleum Reserve in each of the past several years.

Brown, M.A.; Berry, L.G.; Kinney, L.F.

1994-09-01T23:59:59.000Z

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.


201

Weather Classification Using Passive Acoustic Drifters  

Science Conference Proceedings (OSTI)

Weather observations are needed in remote oceanic regions to support numerical weather forecast models, to provide surface truth for satellite sensors, and to help understand global weather patterns. An acoustic mini-drifting buoy using no moving ...

Jeffrey A. Nystuen; Harry D. Selsor

1997-06-01T23:59:59.000Z

202

The FLOWS Automatic Weather Station Network  

Science Conference Proceedings (OSTI)

This report describes in detail the FLOWS (FAA-Lincoln Laboratory Operational Weather Studies) automatic weather station network which is being used in the Terminal Doppler Weather Radar program to assess the radar detectability of wind shear and ...

Marilyn M. Wolfson

1989-04-01T23:59:59.000Z

203

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Conference Proceedings (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

204

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

205

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":""}]}

206

PROJECT MANGEMENT PLAN EXAMPLES Policy & Operational Decisions, Assumptions  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.

207

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

NLE Websites -- All DOE Office Websites (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

208

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

209

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

210

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

211

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.

212

Effects of internal gain assumptions in building energy calculations  

DOE Green Energy (OSTI)

The utilization of direct solar gains in buildings can be affected by operating profiles, such as schedules for internal gains, thermostat controls, and ventilation rates. Building energy analysis methods use various assumptions about these profiles. The effects of typical internal gain assumptions in energy calculations are described. Heating and cooling loads from simulations using the DOE 2.1 computer code are compared for various internal-gain inputs: typical hourly profiles, constant average profiles, and zero gain profiles. Prototype single-family-detached and multi-family-attached residential units are studied with various levels of insulation and infiltration. Small detached commercial buildings and attached zones in large commercial buildings are studied with various levels of internal gains. The results of this study indicate that calculations of annual heating and cooling loads are sensitive to internal gains, but in most cases are relatively insensitive to hourly variations in internal gains.

Christensen, C.; Perkins, R.

1981-01-01T23:59:59.000Z

213

Weatherization and Intergovernmental Program: Technical Assistance  

NLE Websites -- All DOE Office Websites (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

214

Weatherization and Intergovernmental Program: Recovery Act  

NLE Websites -- All DOE Office Websites (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

215

Infiltration as ventilation: Weather-induced dilution  

NLE Websites -- All DOE Office Websites (Extended Search)

Infiltration as ventilation: Weather-induced dilution Title Infiltration as ventilation: Weather-induced dilution Publication Type Report LBNL Report Number LBNL-5795E Year of...

216

Weatherization and Intergovernmental Program: Department of Labor  

NLE Websites -- All DOE Office Websites (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

217

Weatherization and Intergovernmental Program: Information Resources  

NLE Websites -- All DOE Office Websites (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

218

Weatherization and Intergovernmental Program: Tribal Energy Program  

NLE Websites -- All DOE Office Websites (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

219

weather station data | OpenEI  

Open Energy Info (EERE)

Browse Upload data GDR Community Login | Sign Up Search Facebook icon Twitter icon weather station data Dataset Summary Description Weather resource data for the United...

220

Weatherization and Energy Efficiency Success Stories | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Weatherization and Energy Efficiency Success Stories Weatherization and Energy Efficiency Success Stories November 3, 2009 - 6:00am Addthis Chris Stewart Senior Communicator at...

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

Weatherization and Intergovernmental Program: Guidelines for...  

NLE Websites -- All DOE Office Websites (Extended Search)

to someone by E-mail Share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project Benefits on Facebook Tweet about Weatherization and...

222

Chelan County PUD - Residential Weatherization Rebate Program...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Home Weatherization Commercial Weatherization Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Ventilation Maximum Rebate 2,500 Program Information District of...

223

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.

224

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.

225

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.

226

Effects of soot-induced snow albedo change on snowpack and hydrological cycle in western United States based on Weather Research and Forecasting chemistry and regional climate simulations  

Science Conference Proceedings (OSTI)

Radiative forcing induced by soot on snow is a major anthropogenic forcing affecting the global climate. However, it is uncertain how the soot-induced snow albedo perturbation affects regional snowpack and the hydrological cycle. In this study we simulated the deposition of soot aerosol on snow and investigated the resulting impact on snowpack and the surface water budget in the western United States. A yearlong simulation was performed using the chemistry version of the Weather Research and Forecasting model (WRF-Chem) to determine an annual budget of soot deposition, followed by two regional climate simulations using WRF in meteorology-only mode, with and without the soot-induced snow albedo perturbations. The chemistry simulation shows large spatial variability in soot deposition that reflects the localized emissions and the influence of the complex terrain. The soot-induced snow albedo perturbations increase the net solar radiation flux at the surface during late winter to early spring, increase the surface air temperature, reduce snow water equivalent amount, and lead to reduced snow accumulation and less spring snowmelt. These effects are stronger over the central Rockies and southern Alberta, where soot deposition and snowpack overlap the most. The indirect forcing of soot accelerates snowmelt and alters stream flows, including a trend toward earlier melt dates in the western United States. The soot-induced albedo reduction initiates a positive feedback process whereby dirty snow absorbs more solar radiation, heating the surface and warming the air. This warming causes reduced snow depth and fraction, which further reduces the regional surface albedo for the snow covered regions. Our simulations indicate that the change of maximum snow albedo induced by soot on snow contributes to 60% of the net albedo reduction over the central Rockies. Snowpack reduction accounts for the additional 40%.

Qian, Yun; Gustafson, William I.; Leung, Lai-Yung R.; Ghan, Steven J.

2009-02-14T23:59:59.000Z

227

Global Warming and Extreme Weather  

NLE Websites -- All DOE Office Websites (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

228

Winter Demand Impacted by Weather  

Gasoline and Diesel Fuel Update (EIA)

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...

229

Polarimetry for Weather Surveillance Radars  

Science Conference Proceedings (OSTI)

This paper is an overview of weather radar polarimetry emphasizing surveillance applications. The following potential benefits to operations are identified: improvement of quantitative precipitation measurements, discrimination of hail from rain ...

Dusan S. Zrnic; Alexander V. Ryzhkov

1999-03-01T23:59:59.000Z

230

Chaos, Strange Attractors, and Weather  

Science Conference Proceedings (OSTI)

Some of the basic principles of the theory of dynamical systems are presented, introducing the reader to the concepts of chaos theory and strange attractors and their implications in meteorology. New numerical techniques to analyze weather data ...

A. A. Tsonis; J. B. Elsner

1989-01-01T23:59:59.000Z

231

NATIONAL WEATHER SERVICE - Lightning Safety  

NLE Websites -- All DOE Office Websites (Extended Search)

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...

232

Weather Modification A Theoretician's Viewpoint  

Science Conference Proceedings (OSTI)

Early progress in weather modification is attributed to a healthy interaction between theory and experiment. During the 1970s, a divergence of approaches took place. A “theoretical/experimental” approach, exemplified by the Cascade Project, ...

Kenneth C. Young

1996-11-01T23:59:59.000Z

233

Marine Observations of Old Weather  

Science Conference Proceedings (OSTI)

Weather observations are vital for climate change monitoring and prediction. For the world's oceans, there are many meteorological and oceanographic observations available back to the mid-twentieth century, but coverage is limited in earlier ...

Philip Brohan; Rob Allan; J. Eric Freeman; Anne M. Waple; Dennis Wheeler; Clive Wilkinson; Scott Woodruff

2009-02-01T23:59:59.000Z

234

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

235

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

236

System Demonstration Multilingual Weather Forecast Generation System  

E-Print Network (OSTI)

System Demonstration Multilingual Weather Forecast Generation System Tianfang Yao DongmoZhang Qian (Multilingual Weather Forecasts Assistant) system will be demonstrated. It is developed to generate the multilingual text of the weather forecasts automatically. The raw data from the weather observation can be used

237

Lidar-Measured Winds from Space: A Key Component for Weather and Climate Prediction  

Science Conference Proceedings (OSTI)

The deployment of a space-based Doppler lidar would provide information that is fundamental to advancing the understanding and prediction of weather and climate.

Wayman E. Baker; George D. Emmitt; Franklin Robertson; Robert M. Atlas; John E. Molinari; David A. Bowdle; Jan Paegle; R. Michael Hardesty; Madison J. Post; Robert T. Menzies; T. N. Krishnamurti; Robert A. Brown; John R. Anderson; Andrew C. Lorenc; James McElroy

1995-06-01T23:59:59.000Z

238

Weatherization and Intergovernmental Program: Financial Opportunities  

NLE Websites -- All DOE Office Websites (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)

239

EERE: Weatherization and Intergovernmental Program - Contacts  

NLE Websites -- All DOE Office Websites (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

240

Weatherization and Intergovernmental Program: Historic Preservation  

NLE Websites -- All DOE Office Websites (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

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

Weatherization and Intergovernmental Program: Closeout Guidance  

NLE Websites -- All DOE Office Websites (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

242

Weatherization and Intergovernmental Program: Program Guidance  

NLE Websites -- All DOE Office Websites (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

243

Weatherization and Intergovernmental Program: Recovery Act and the  

NLE Websites -- All DOE Office Websites (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

244

Standard assumptions and methods for solar heating and cooling systems analysis  

DOE Green Energy (OSTI)

A set of inputs, assumptions, analytical methods, and a reporting format is presented to help compare the results of residential and commercial solar system analyses being performed by different investigators. By the common use of load data, meteorological data, economic parameters, and reporting format, researchers examining, for example, two types of collectors may more easily compare their results. For residential heating and cooling systems, three locations were selected. The weather data chosen to characterize these cities are the Typical Meteorological Year (TMY). A house for each location was defined that is typical of new construction in that locale. Hourly loads for each location were calculated using a computerized load model that interacts with the system specified inputs characterizing each house. Four locations for commercial cooling analyses were selected from among the existing sites for which TMYs were available. A light commercial (nominal 25-ton cooling load) office building was defined and is used in all four locations. Hourly cooling and heating loads were computed for each city and are available on magnetic tape from the Solar Energy Research Insititute (SERI).

Leboeuf, C.M.

1980-01-01T23:59:59.000Z

245

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.

246

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 EnergyÂ’s Office of Policy, other DOE offices, and other government agencies.

247

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.

248

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).

249

Unemployed Engineer Finds New Career in Weatherization | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

250

Unemployed Truck Driver Trains for New Career in Weatherization |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.

251

Carbon Monoxide Poisoning Avoided Through Weatherization | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.,

252

Unemployed Truck Driver Trains for New Career in Weatherization |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.

253

Unemployed Engineer Finds New Career in Weatherization | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

254

GRI baseline projection: Methodology and assumptions 1996 edition. Topical report, January-December 1995  

Science Conference Proceedings (OSTI)

The report documents the methodology employed in producing the 1996 Edition of the GRI Baseline Projection. DRI/McGraw-Hill`s Energy Group (DRI) maintains an energy modeling system for the Gas Research Institute (GRI) that is used to produce an annual projection of the supply and demand for energy by regions in the United States. The 1996 Edition of the GRI Baseline Projection is produced using several different models. The models analyze various pieces of the U.S. energy markets and their solutions are based on a framework of exogenous assumptions provided by GRI. The report describes the integration and solution procedures of the models and the assumptions used to produce the final projection results.

Rhodes, M.R.; Baxter, R.P.; Nottingham, R.P.

1996-04-01T23:59:59.000Z

255

GRI baseline projection: Methodology and assumptions 1995 edition. Topical report, January-December 1994  

SciTech Connect

The report documents the methodology employed in producing the 1995 Edition of the GRI Baseline Projection. DRI/McGraw-Hill`s Energy Group (DRI) maintains an energy modeling system for the Gas Research Institute (GRI) that is used to produce an annual projection of the supply and demand for energy by regions in the United States. The 1995 Edition of the GRI Baseline Projection is produced using several different models. The models analyze various pieces of the U.S. energy markets and their solutions are based on a framework of exogeneous assumptions provided by GRI. The report describes the integration and solution procedures of the models and the assumptions used to produce the final projection results.

Baxter, R.P.; Silveira, T.S.; Harshbarger, S.L.

1995-02-01T23:59:59.000Z

256

Assimilation of Surface-Based Boundary Layer Profiler Observations during a Cool-Season Weather Event Using an Observing System Simulation Experiment. Part I: Analysis Impact  

Science Conference Proceedings (OSTI)

In this study, an Observing System Simulation Experiment was used to examine how the assimilation of temperature, water vapor, and wind profiles from a potential array of ground-based remote sensing boundary layer profiling instruments impacts the ...

Jason A. Otkin; Daniel C. Hartung; David D. Turner; Ralph A. Petersen; Wayne F. Feltz; Erik Janzon

2011-08-01T23:59:59.000Z

257

Assimilation of Surface-Based Boundary Layer Profiler Observations during a Cool-Season Weather Event Using an Observing System Simulation Experiment. Part II: Forecast Assessment  

Science Conference Proceedings (OSTI)

In this study, atmospheric analyses obtained through assimilation of temperature, water vapor, and wind profiles from a potential network of ground-based remote sensing boundary layer profiling instruments were used to generate short-range ...

Daniel C. Hartung; Jason A. Otkin; Ralph A. Petersen; David D. Turner; Wayne F. Feltz

2011-08-01T23:59:59.000Z

258

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 EIAÂ’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

259

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.

260

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

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 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.

262

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 EIAÂ’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].

263

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

264

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

265

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),

266

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

267

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

268

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

269

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.

270

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.

271

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

272

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).

273

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).

274

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

275

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.

276

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.

277

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).

278

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.

279

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

280

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).

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.


281

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

282

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

283

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

284

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

285

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 EIAÂ’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

286

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.

287

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

288

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

289

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).

290

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

291

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).

292

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).

293

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 EIAÂ’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

294

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

295

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

Science Conference Proceedings (OSTI)

The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.

Tidball, R.; Bluestein, J.; Rodriguez, N.; Knoke, S.

2010-11-01T23:59:59.000Z

296

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

297

Weather Support to Deicing Decision Making (WSDDM): A Winter Weather Nowcasting System  

Science Conference Proceedings (OSTI)

This paper describes a winter weather nowcasting system called Weather Support to Deicing Decision Making (WSDDM), designed to provide airline, airport, and air traffic users with winter weather information relevant to their operations. The ...

Roy Rasmussen; Mike Dixon; Frank Hage; Jeff Cole; Chuck Wade; John Tuttle; Starr McGettigan; Thomas Carty; Lloyd Stevenson; Warren Fellner; Shelly Knight; Eli Karplus; Nancy Rehak

2001-04-01T23:59:59.000Z

298

An Assessment of Areal Coverage of Severe Weather Parameters for Severe Weather Outbreak Diagnosis  

Science Conference Proceedings (OSTI)

The areal extent of severe weather parameters favorable for significant severe weather is evaluated as a means of identifying major severe weather outbreaks. The first areal coverage method uses kernel density estimation (KDE) to identify severe ...

Chad M. Shafer; Andrew E. Mercer; Michael B. Richman; Lance M. Leslie; Charles A. Doswell III

2012-08-01T23:59:59.000Z

299

Post-processing of ensemble weather forecasts using a stochastic weather generator  

Science Conference Proceedings (OSTI)

This study proposes a new statistical method for post-processing ensemble weather forecasts using a stochastic weather generator. Key parameters of the weather generator were linked to the ensemble forecast means for both precipitation and ...

Jie Chen; François P. Brissette; Zhi Li

300

Cathy Zoi on Weatherization | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

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

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.

302

Weatherization and Intergovernmental Program: Sustainable Energy Resources  

NLE Websites -- All DOE Office Websites (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

303

Weatherization and Intergovernmental Program: Energy Efficiency and  

NLE Websites -- All DOE Office Websites (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

304

Aviation Weather Information Requirements Study  

Science Conference Proceedings (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

305

Advancing weatherization performance: Measured results from the North Carolina field test of an advanced measure selection technique  

SciTech Connect

The field performance of weatherizations based on a newly-developed advanced residential energy conservation measure selection technique was tested alongside current Retro-Tech-based weatherizations in North Carolina. The two weatherization approaches were compared based on implementation ease, measures installed, labor and cost requirements, and energy savings achieved. One-hundred twenty low-income, single-family households served by three different weatherization agencies participated in the field test which was conducted between June 1989 and August 1991. Average heating energy savings were 33% for weatherizations based on the new technique and 23% for Retro-Tech-based weatherizations. Weatherizations based on the new technique achieved 43% more heating energy savings, cost around 10% less at two weatherization agencies and considerably more at the third, and were near equivalent in labor requirements. Major findings from the study include: (1) the advanced audit will install some measures in near identical quantities as Retro-Tech-based weatherizations and others in dramatically different quantities, (2) the advanced audit can significantly increase heating energy savings, (3) blower-door-directed air sealing can more than double the air leakage reductions achieved from standard air sealing techniques, (4) North Carolina low-income houses have much higher average leakage rates than similar New York houses but can be sealed as well or better, and (5) using the advanced audit will not increase weatherization costs and may actually lower costs for most weatherization agencies.

Sharp, T.R.

1993-07-01T23:59:59.000Z

306

Weather-Corrected Performance Ratio  

Science Conference Proceedings (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

307

Downscaling Extended Weather Forecasts for Hydrologic Prediction  

SciTech Connect

Weather and climate forecasts are critical inputs to hydrologic forecasting systems. The National Center for Environmental Prediction (NCEP) issues 8-15 days outlook daily for the U.S. based on the Medium Range Forecast (MRF) model, which is a global model applied at about 2? spatial resolution. Because of the relatively coarse spatial resolution, weather forecasts produced by the MRF model cannot be applied directly to hydrologic forecasting models that require high spatial resolution to represent land surface hydrology. A mesoscale atmospheric model was used to dynamically downscale the 1-8 day extended global weather forecasts to test the feasibility of hydrologic forecasting through this model nesting approach. Atmospheric conditions of each 8-day forecast during the period 1990-2000 were used to provide initial and boundary conditions for the mesoscale model to produce an 8-day atmospheric forecast for the western U.S. at 30 km spatial resolution. To examine the impact of initialization of the land surface state on forecast skill, two sets of simulations were performed with the land surface state initialized based on the global forecasts versus land surface conditions from a continuous mesoscale simulation driven by the NCEP reanalysis. Comparison of the skill of the global and downscaled precipitation forecasts in the western U.S. showed higher skill for the downscaled forecasts at all precipitation thresholds and increasingly larger differences at the larger thresholds. Analyses of the surface temperature forecasts show that the mesoscale forecasts generally reduced the root-mean-square error by about 1.5 C compared to the global forecasts, because of the much better resolved topography at 30 km spatial resolution. In addition, initialization of the land surface states has large impacts on the temperature forecasts, but not the precipitation forecasts. The improvements in forecast skill using downscaling could be potentially significant for improving hydrologic forecasts for managing river basins.

Leung, Lai-Yung R.; Qian, Yun

2005-03-01T23:59:59.000Z

308

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.

309

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.

310

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

311

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).

312

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

313

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).

314

Weather and the Transport of Hazardous Materials | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Weather and the Transport of Hazardous Materials Weather and the Transport of Hazardous Materials Weather and the Transport of Hazardous Materials More Documents & Publications...

315

Response to Weatherization Questions | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

316

A Fingerprinting Technique for Major Weather Events  

Science Conference Proceedings (OSTI)

Advances in numerical weather prediction have occurred on numerous fronts, from sophisticated physics packages in the latest mesoscale models to multimodel ensembles of medium-range predictions. Thus, the skill of numerical weather forecasts ...

Benjamin Root; Paul Knight; George Young; Steven Greybush; Richard Grumm; Ron Holmes; Jeremy Ross

2007-07-01T23:59:59.000Z

317

Measures of Economic Impacts of Weather Extremes  

Science Conference Proceedings (OSTI)

One of the primary driving forces behind weather research and development has been the losses caused by weather extremes. Unfortunately, available loss values have been more qualitative than quantitative. There has never been a concerted, ...

Stanley D. Changnon

2003-09-01T23:59:59.000Z

318

Aging and weathering of cool roofing membranes  

E-Print Network (OSTI)

and L.S. Rose. 2002. “Aging of reflective roofs: sootAging and Weathering of Cool Roofing Membranes HashemNRC), Canada ABSTRACT Aging and weathering can reduce the

2005-01-01T23:59:59.000Z

319

The Operational Weather Radar Network in Europe  

Science Conference Proceedings (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

320

Optimal Planning of a Weather Radar Network  

Science Conference Proceedings (OSTI)

An approach to the optimal planning of a weather radar network is presented. In the approach, several aspects affecting the planning decision, including terrain blockage, the need to measure with two Doppler weather radars in some regions, and ...

R. Minciardi; R. Sacile; F. Siccardi

2003-09-01T23:59:59.000Z

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.


321

Response to Weatherization Questions | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

322

Emergency Management Decision Making during Severe Weather  

Science Conference Proceedings (OSTI)

Emergency managers make time-sensitive decisions in order to protect the public from threats including severe weather. Simulation and questionnaires were used to capture the decision-making process of emergency managers during severe weather ...

Leigh A. Baumgart; Ellen J. Bass; Brenda Philips; Kevin Kloesel

2008-12-01T23:59:59.000Z

323

Accelerated Weathering of Fluidized Bed Steam Reformation ...  

Science Conference Proceedings (OSTI)

Sep 16, 2007 ... Accelerated Weathering of Fluidized Bed Steam Reformation Material Under Hydraulically Unsaturated Conditions by E.M. Pierce ...

324

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"

325

Some proves of integrated influence of geomagnetic activity and weather changes on human health  

E-Print Network (OSTI)

Our environment includes many factors, and each person on the Earth is permanently influenced by two of them: weather and magnetic field. It was found in the works of many investigators that the weather changes correlate with human health state. In the same time, disturbances of geomagnetic field (as one of the space weather manifestations) may influence bioobjects, including people. In this work we demonstrate the cumulative effect of different external factors (space weather and meteorological weather parameters) on human health on the base of medical experimental data (blood pressure and heart rate data rows for 86 people). It is shown that inclusion both solar-geomagnetic and weather parameters in simulation process give adjusting mixed parameter, which correlates with health state significantly better, than separated environmental parameters do.

Khabarova, O V

2008-01-01T23:59:59.000Z

326

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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,

327

On-line economic optimization of energy systems using weather forecast information.  

Science Conference Proceedings (OSTI)

We establish an on-line optimization framework to exploit weather forecast information in the operation of energy systems. We argue that anticipating the weather conditions can lead to more proactive and cost-effective operations. The framework is based on the solution of a stochastic dynamic real-time optimization (D-RTO) problem incorporating forecasts generated from a state-of-the-art weather prediction model. The necessary uncertainty information is extracted from the weather model using an ensemble approach. The accuracy of the forecast trends and uncertainty bounds are validated using real meteorological data. We present a numerical simulation study in a building system to demonstrate the developments.

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

2009-01-01T23:59:59.000Z

328

A Statistical Analysis of the Dependency of Closure Assumptions in Cumulus Parameterization on the Horizontal Resolution  

Science Conference Proceedings (OSTI)

Simulated data from the UCLA cumulus ensemble model are used to investigate the quasi-universal validity of closure assumptions used in existing cumulus parameterizations. A closure assumption is quasi-universally valid if it is sensitive neither ...

Kuan-Man Xu

1994-12-01T23:59:59.000Z

329

Weather and the Transport of Hazardous Materials  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

330

Weatherizing Wilkes-Barre | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

331

Home Weatherization Visit | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

332

Ohio Celebrates Recovery Act Weatherization Program Performance |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

333

Ohio Celebrates Recovery Act Weatherization Program Performance |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

334

Atmos Energy - Residential Natural Gas and Weatherization Efficiency...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Atmos Energy - Residential Natural Gas and Weatherization Efficiency Program Atmos Energy - Residential Natural Gas and Weatherization Efficiency Program Eligibility Residential...

335

Characterization of the Weatherization Assistance Program network. Weatherization Assistance Program  

Science Conference Proceedings (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

336

Relationship between Radar-Estimated Precipitation and Synoptic Weather Patterns in the European Alps  

Science Conference Proceedings (OSTI)

A 9-yr (2000–08) analysis of precipitation characteristics for the central and western European Alps has been generated from ground-based operational weather radar data provided by the Swiss radar network. The radar-based precipitation analysis ...

James V. Rudolph; Katja Friedrich; Urs Germann

2011-05-01T23:59:59.000Z

337

A New Set of Orthogonal Patterns in Weather and Climate: Optimally Interpolated Patterns  

Science Conference Proceedings (OSTI)

A new spectral-based approach is presented to find orthogonal patterns from gridded weather/climate data. The method is based on optimizing the interpolation error variance. The optimally interpolated patterns (OIP) are then given by the ...

A. Hannachi

2008-12-01T23:59:59.000Z

338

Training Program Graduates Weatherization-Ready Workers | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

339

Nearest Neighbor Spacing of Fair Weather Cumulus Clouds  

Science Conference Proceedings (OSTI)

Histograms of nearest neighbor spacings of fair weather cumulus at 15 locations Over the world's oceans are presented based on the analysis of high resolution LANDSAT 3 Multispectral Scanner images for amounts of cloud cover ranging from 0.6% to ...

Joachim H. Joseph; Robert F. Cahalan

1990-08-01T23:59:59.000Z

340

The North Carolina Field Test: Field performance of the preliminary version of an advanced weatherization audit for the Department of Energy`s Weatherization Assistance Program  

SciTech Connect

The field performance of weatherizations based on a newly-developed advanced technique for selecting residential energy conservation measures was tested alongside current Retro-Tech-based weatherizations in North Carolina. The new technique is computer-based and determines measures based on the needs of an individual house. In addition, it recommends only those measures that it determines will have a benefit-to-cost ratio greater than 1 for the house being evaluated. The new technique also considers the interaction of measures in computing the benefit-to-cost ratio of each measure. The two weatherization approaches were compared based on implementation ease, measures installed, labor and cost requirements, and both heating and cooling energy savings achieved. One-hundred and twenty houses with the following characteristics participated: the occupants were low-income, eligible for North Carolina`s current weatherization program, and responsible for their own fuel and electric bills. Houses were detached single-family dwellings, not mobile homes; were heated by kerosene, fuel oil, natural gas, or propane; and had one or two operating window air conditioners. Houses were divided equally into one control group and two weatherization groups. Weekly space heating and cooling energy use, and hourly indoor and outdoor temperatures were monitored between November 1989 and September 1990 (pre-period) and between December 1990 and August 1991 (post-period). House consumption models were used to normalize for annual weather differences and a 68{degrees}F indoor temperature. Control group savings were used to adjust the savings determined for the weatherization groups. The two weatherization approaches involved installing attic and floor insulations in near equivalent quantities, and installing storm windows and wall insulation in drastically different quantities. Substantial differences also were found in average air leakage reductions for the two weatherization groups.

Sharp, T.R.

1994-06-01T23:59:59.000Z

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.


341

Electricity savings among participants three years after weatherization in Bonneville's 1986 residential weatherization program  

SciTech Connect

To ensure proper assessment of its weatherization activities, the Bonneville Power Administration (Bonneville) has examined several cohorts of participants in various phases of its Long-Term Residential Weatherization Program (Long-Term RWP). Beginning in 1980, energy savings one, two, and three years after program participation have been evaluated. This study, which continues the series of Bonneville's ongoing evaluation of weatherization activities, examines electricity savings three years after weatherization in the 1986 Long-Term RWP. Electricity bills were weather-adjusted using the Princeton Scorekeeping Method (PRISM). Normalized Annual Consumption (NAC) was calculated for each participant and control household for which data were available. Gross energy savings were calculated by subtracting a household's NAC for each postretrofit year (1986--87, 1986--88, and 1988--89) from its preretrofit NAC (1985--86). Household level data were aggregated and examined at the utility level allowing the calculation of average net savings, which is the difference between gross savings by nonparticipants and participants. Utility-level data were then weighted, based on the extent of each utility's participation in the Long-Term RWP in 1986, to allow the identification of overall program savings. 29 refs., 5 figs., 14 tabs.

White, D.L.; Brown, M.A.

1990-09-01T23:59:59.000Z

342

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

343

Does it matter which weather data you use in energy simulations?  

SciTech Connect

Users of energy simulation programs often have a variety of weather data from which to choose--from locally recorded, measured weather data to preselected typical years--a bewildering range of options. In the last two years, several organizations have developed several new typical weather data sets including WYEC2, TMY2, CWEC, and CTZ2. Unfortunately, neither how these new data influence energy simulation results nor how they compare to existing typical data sets or actual weather data is well documented. In this paper, the authors present results from the DOE-2.1E hourly energy simulation program for a prototype office building as influenced by local measured weather data for multiple years and several weather data sets for a set of North American locations. They compare the influence of the various weather data sets on simulated annual energy use and energy costs. Statistics for temperature, solar radiation, and heating and cooling degree days for the different locations and data sets are also presented. Where possible, they explain the variation relative to the different designs used in developing each data set. They also show the variation inherent in actual weather data and how it influences simulation results. Finally, based on these results, they answer the question--does it really matter which weather data you use?

Huang, Y.J. [Lawrence Berkeley National Lab., CA (United States). Energy and Environment Div.; Crawley, D.B. [Dept. of Energy, Washington, DC (United States). Office of Building Systems

1996-08-01T23:59:59.000Z

344

Little Climates -- Weather Just Above The Ground  

NLE Websites -- All DOE Office Websites (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.

345

Maine's Weatherization Milestones | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

346

Maine's Weatherization Milestones | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

347

The Impact of Weatherization | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

348

Celebrating National Weatherization Day | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

349

The Impact of Weatherization | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

350

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

351

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

352

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

353

Evaluating climate models: Should we use weather or climate observations?  

Science Conference Proceedings (OSTI)

Calling the numerical models that we use for simulations of climate change 'climate models' is a bit of a misnomer. These 'general circulation models' (GCMs, AKA global climate models) and their cousins the 'regional climate models' (RCMs) are actually physically-based weather simulators. That is, these models simulate, either globally or locally, daily weather patterns in response to some change in forcing or boundary condition. These simulated weather patterns are then aggregated into climate statistics, very much as we aggregate observations into 'real climate statistics'. Traditionally, the output of GCMs has been evaluated using climate statistics, as opposed to their ability to simulate realistic daily weather observations. At the coarse global scale this may be a reasonable approach, however, as RCM's downscale to increasingly higher resolutions, the conjunction between weather and climate becomes more problematic. We present results from a series of present-day climate simulations using the WRF ARW for domains that cover North America, much of Latin America, and South Asia. The basic domains are at a 12 km resolution, but several inner domains at 4 km have also been simulated. These include regions of complex topography in Mexico, Colombia, Peru, and Sri Lanka, as well as a region of low topography and fairly homogeneous land surface type (the U.S. Great Plains). Model evaluations are performed using standard climate analyses (e.g., reanalyses; NCDC data) but also using time series of daily station observations. Preliminary results suggest little difference in the assessment of long-term mean quantities, but the variability on seasonal and interannual timescales is better described. Furthermore, the value-added by using daily weather observations as an evaluation tool increases with the model resolution.

Oglesby, Robert J [ORNL; Erickson III, David J [ORNL

2009-12-01T23:59:59.000Z

354

The Weatherization Training program at Pennsylvania College ...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Solar Decathlon Update from Secretary Chu Recovery Act Milestones President Barack Obama at UN Climate Change Summit Home Weatherization Visit Faces of the Recovery Act: National...

355

Internet Weather Source | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

(NWS) National Telecommunications Gateway provides weather, hydrologic, and climate forecasts and warnings for the United States, its territories, adjacent waters and ocean...

356

Building Energy Software Tools Directory: Weather Tool  

NLE Websites -- All DOE Office Websites (Extended Search)

result is a comprehensive pre-design climatesite analysis tool. Screen Shots Keywords weather data visualization, psychrometry, passive design analysis, optimum orientiation,...

357

Caulking/Weather-stripping | Open Energy Information  

Open Energy Info (EERE)

Incentives Retrieved from "http:en.openei.orgwindex.php?titleCaulkingWeather-stripping&oldid267150" Category: Articles with outstanding TODO tasks What links...

358

Aging and weathering of cool roofing membranes  

Science Conference Proceedings (OSTI)

Aging and weathering can reduce the solar reflectance of cool roofing materials. This paper summarizes laboratory measurements of the solar spectral reflectance of unweathered, weathered, and cleaned samples collected from single-ply roofing membranes at various sites across the United States. Fifteen samples were examined in each of the following six conditions: unweathered; weathered; weathered and brushed; weathered, brushed and then rinsed with water; weathered, brushed, rinsed with water, and then washed with soap and water; and weathered, brushed, rinsed with water, washed with soap and water, and then washed with an algaecide. Another 25 samples from 25 roofs across the United States and Canada were measured in their unweathered state, weathered, and weathered and wiped. We document reduction in reflectivity resulted from various soiling mechanisms and provide data on the effectiveness of various cleaning approaches. Results indicate that although the majority of samples after being washed with detergent could be brought to within 90% of their unweathered reflectivity, in some instances an algaecide was required to restore this level of reflectivity.

Akbari, Hashem; Berhe, Asmeret A.; Levinson, Ronnen; Graveline,Stanley; Foley, Kevin; Delgado, Ana H.; Paroli, Ralph M.

2005-08-23T23:59:59.000Z

359

RESIDENTIAL WEATHERIZATION SPECIFICATIONS August 30, 2011  

E-Print Network (OSTI)

RESIDENTIAL WEATHERIZATION SPECIFICATIONS August 30, 2011 Index to Sections Section Page I. GENERAL............................................................................................35 #12;1 I. GENERAL SPECIFICATIONS 1. These specifications apply to existing residential (retro

360

Idaho Falls Power- Residential Weatherization Loan Program  

Energy.gov (U.S. Department of Energy (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...

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

Portfolio Manager Technical Reference: Climate and Weather |...  

NLE Websites -- All DOE Office Websites (Extended Search)

Weather Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy...

362

Weatherization and Intergovernmental Program: About the Guidelines...  

NLE Websites -- All DOE Office Websites (Extended Search)

About the Guidelines for Home Energy Professionals Project to someone by E-mail Share Weatherization and Intergovernmental Program: About the Guidelines for Home Energy...

363

Weatherization and Intergovernmental Program: Guidelines for...  

NLE Websites -- All DOE Office Websites (Extended Search)

to someone by E-mail Share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Employers and Contractors on Facebook Tweet...

364

Cooperative Weather Observations | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Cooperative Weather Observations Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov Communities Agriculture...

365

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

Science Conference Proceedings (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

366

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

SciTech Connect

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

367

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.

368

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.

369

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

Science Conference Proceedings (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

370

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

371

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

372

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

373

U.S. Soil and Mineralogy Data and Weathering Rates  

Science Conference Proceedings (OSTI)

Deposition of sulfur and nitrogen compounds as rain, snow, and fog, as well as dry deposition in gas and particulate forms, can lead to the formation of sulfuric and nitric acids in soils and surface waters, resulting in decreased pH and alkalinity, higher aluminum concentrations, and increased leaching of base cations. This report evaluates methods to estimate base cation weathering rates for use in watershed simulations and in critical load calculations developed to protect surface waters and ...

2013-12-17T23:59:59.000Z

374

Weather pattern climatology of the United States  

DOE Green Energy (OSTI)

In this study the geographic domain covered the 48 conterminous states of the United States. The daily synoptic weather pattern was classified into nine types for the 10-year period January 1, 1969 to December 31, 1978. Weather pattern types were defined relative to the classical polar front model of a mid-latitude cyclonic storm system and its associated air masses. Guidelines for classifying weather patterns on an operational basis were developed. These were applied to 3652 daily surface weather maps to produce a time series of weather pattern type at 120 grid points of a 160 point, 3/sup 0/ latitude by 4/sup 0/ longitude array over the United States. Statistics on the frequency of occurrence, persistence and alternation of weather patterns were calculated for each grid point. Summary statistics for the entire grid and for six regions were also presented. Frequency of occurrence and persistence were found to depend on the size and speed of movement of the weather pattern. Large, slow moving air masses had higher frequency of occurrence and longer persistence than small (fronts) or rapidly moving (or changing) features (fronts, storm centers). Some types showed distinct regional preferences. The subtropical maritime high occurred mainly in the south central and southeast. An indeterminate weather pattern type accounted for those weather patterns that did not fit the polar front model or were too disorganized to be classified. The intermountain thermal low of the desert southwest was one such feature that dominated both frequency of occurrence and persistence in this region. Alternation from one weather pattern to another followed the polar front model of a moving cyclonic storm. The tendency for anticyclonic weather patterns to become disorganized as they weakened was seen in the high percentage of these patterns that changed to an indeterminate pattern as they aged.

Barchet, W.R.; Davis, W.E.

1984-01-01T23:59:59.000Z

375

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

376

NATIONAL WEATHER SERVICE - Lightning Safety  

NLE Websites -- All DOE Office Websites (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.

377

A Review of Electric Vehicle Cost Studies: Assumptions, Methodologies, and Results  

E-Print Network (OSTI)

assumptions Battery costs and capacities: Lead acid batteryElectricity cost Battery cost and capacity: Lead acidElectricity cost Battery cost and capacity: N i C d

Lipman, Timothy

1999-01-01T23:59:59.000Z

378

SALINITY AND SODICITY INTERACTIONS OF WEATHERED MINESOILS IN NORTHWESTERN NEW MEXICO AND NORTH EASTERN ARIZONA  

SciTech Connect

Weathering characteristics of minesoils and rooting patterns of key shrub and grass species were evaluated at sites reclaimed for 6 to 14 years from three surface coal mine operations in northwestern New Mexico and northeastern Arizona. Non-weathered minesoils were grouped into 11 classifications based on electrical conductivity (EC) and sodium adsorption ratio (SAR). Comparisons of saturated paste extracts, from non-weathered and weathered minesoils show significant (p < 0.05) reductions in SAR levels and increased EC. Weathering increased the apparent stability of saline and sodic minesoils thereby reducing concerns of aggregate slaking and clay particle dispersion. Root density of four-wing saltbush (Atriplex canascens), alkali sacaton (Sporobolus airoides), and Russian wildrye (Psathyrostachys junceus) were nominally affected by increasing EC and SAR levels in minesoil. Results suggest that saline and sodic minesoils can be successfully reclaimed when covered with topsoil and seeded with salt tolerant plant species.

Brent Musslewhite; Song Jin

2006-05-01T23:59:59.000Z

379

Energy Challenge Two: The WeatherizeDC Campaign | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

380

Making Forecasts and Weather Normalization Work Together  

Science Conference Proceedings (OSTI)

Electric utility industry restructuring has changed the consistency between weather-normalized sales and energy forecasts. This Technology Review discusses the feasibility of integrating weather normalization and forecasting processes, and addresses whether the conflicting goal of obtaining greater consistency and accuracy with fewer staff resources can be met with more integrated approaches.

2000-09-11T23:59:59.000Z

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

Segmenting Time Series for Weather Forecasting  

E-Print Network (OSTI)

turbines. In the domain of meteorology, time series data produced by numerical weather prediction (NWP) models is summarised as weather forecast texts. In the domain of gas turbines, sensor data from an operational gas turbine is summarised for the maintenance engineers. More details on SUMTIME have been

Reiter, Ehud

382

SPACE WEATHER RISKS FROM AN INSURANCE PERSPECTIVE  

E-Print Network (OSTI)

-weather-prone property and infrastructure includes: · satellites (e.g., solar panels & electronics: exposed to particle, telecommunication, internet, GPS etc.) · utility components (e.g., transformers: exposed to geomagnetic induced in the 1970s ­ typically designed for a life time of ~40 years Space Weather Risks B) Vulnerability Aged

Schrijver, Karel

383

Perturbations That Optimally Trigger Weather Regimes  

Science Conference Proceedings (OSTI)

The sensitivity of the onset of two weather regimes with respect to initial conditions is studied. The weather regimes are a Euro–Atlantic blocking regime and a Euro–Atlantic strong zonal flow regime. Both regimes are characterized by the same ...

Jeroen Oortwijn; Jan Barkmeijer

1995-11-01T23:59:59.000Z

384

Oldest and Largest WEATHER, p. 2  

E-Print Network (OSTI)

Thunderstorm Haze Weather Systems High Pressure Low Pressure Hurricane Weather Fronts Trough Warm Front Cold of a measure known as the Disclose Act, which Van Hollen sponsored. --eric Lichtblau, The New York Times, and that fact has been quite apparent over the past week. Last Thursday, a deep low pressure system over

385

Operational Assimilation of GPS Zenith Total Delay Observations into the Met Office Numerical Weather Prediction Models  

Science Conference Proceedings (OSTI)

Zenith total delay (ZTD) observations derived from ground-based GPS receivers have been assimilated operationally into the Met Office North Atlantic and European (NAE) numerical weather prediction (NWP) model since 2007. Assimilation trials were ...

Gemma V. Bennitt; Adrian Jupp

2012-08-01T23:59:59.000Z

386

The USWRP Workshop on the Weather Research Needs of the Private Sector  

Science Conference Proceedings (OSTI)

Private sector meteorology is a rapidly growing enterprise. It has been estimated that the provision of weather information has, by some estimates, a global market totaling in the billions of dollars. Further, the decisions based on such ...

Roger A. Pielke Jr.; Jim Abraham; Elliot Abrams; Jim Block; Richard Carbone; David Chang; Kelvin Droegemeier; Kerry Emanuel; Elbert W(Joe) Friday Jr.; Robert Gall; John Gaynor; Rodger R. Getz; Todd Glickman; Bradley Hoggatt; William H. Hooke; Edward R. Johnson; Eugenia Kalnay; James(Jeff) Kimpel; Paul Kocin; Byron Marler; Rebecca Morss; Ravi Nathan; Steve Nelson; Roger Pielke Sr.; Maria Pirone; Erwin Prater; Warren Qualley; Kevin Simmons; Michael Smith; John Thomson; Greg Wilson

2003-07-01T23:59:59.000Z

387

A Comprehensive Radiation Scheme for Numerical Weather Prediction Models with Potential Applications in Climate Simulations  

Science Conference Proceedings (OSTI)

A comprehensive scheme for the parameterization of radiative transfer in numerical weather Prediction (NWP) models has been developed. The scheme is based on the solution of the ?-two-stream version of the radiative transfer equation ...

Bodo Ritter; Jean-Francois Geleyn

1992-02-01T23:59:59.000Z

388

Inside Volcanic Clouds: Remote Sensing of Ash Plumes Using Microwave Weather Radars  

Science Conference Proceedings (OSTI)

Microphysical and dynamical features of volcanic tephra due to Plinian and sub-Plinian eruptions can be quantitatively monitored by using ground-based microwave weather radars. The methodological rationale and unique potential of this remote-sensing ...

Frank S. Marzano; Errico Picciotti; Mario Montopoli; Gianfranco Vulpiani

2013-10-01T23:59:59.000Z

389

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

390

Weather pattern classification to represent the urban heat island in present and future climate  

Science Conference Proceedings (OSTI)

A classification of weather patterns (WP) is derived that is tailored to best represent situations relevant for the urban heat island (UHI). Three different types of k-means-based cluster methods are conducted. The explained cluster variance is ...

Peter Hoffmann; K. Heinke Schlünzen

391

Raingage Network Requirements from a Simulated Convective Complex Weather Modification Experiment  

Science Conference Proceedings (OSTI)

A convective complex weather modification experiment was simulated using Monte Carlo techniques. The purpose was to estimate the optimum raingage density for evaluation of a possible future experiment. The data base consisted of radar volume ...

James A. Heimbach Jr.; Arlin B. Super

1980-10-01T23:59:59.000Z

392

Probabilistic Forecasts of (Severe) Thunderstorms for the Purpose of Issuing a Weather Alarm in the Netherlands  

Science Conference Proceedings (OSTI)

The development and verification of a new model output statistics (MOS) system is described; this system is intended to help forecasters decide whether a weather alarm for severe thunderstorms, based on high total lightning intensity, should be ...

Maurice J. Schmeits; Kees J. Kok; Daan H. P. Vogelezang; Rudolf M. van Westrhenen

2008-12-01T23:59:59.000Z

393

The Feasibility of Data Whitening to Improve Performance of Weather Radar  

Science Conference Proceedings (OSTI)

The problem of efficient processing of correlated weather radar echoes off precipitation is considered. An approach based on signal whitening was recently proposed that has the potential to significantly improve power estimation at a fixed pulse ...

A. C. Koivunen; A. B. Kostinski

1999-06-01T23:59:59.000Z

394

Multiyear Summertime Observations of Daytime Fair-Weather Cumuli at the ARM Southern Great Plains Facility  

Science Conference Proceedings (OSTI)

A long data record (14 yr) of ground-based observations at the Atmospheric Radiation Measurement Program (ARM) Southern Great Plains (SGP) site is analyzed to document the macroscopic and dynamical properties of daytime fair-weather cumulus clouds ...

Arunchandra S. Chandra; Pavlos Kollias; Bruce A. Albrecht

2013-12-01T23:59:59.000Z

395

The S2K Severe Weather Detection Algorithms and Their Performance  

Science Conference Proceedings (OSTI)

One of the main goals of the Sydney 2000 Forecast Demonstration Project was to demonstrate the efficacy and utility of automated severe weather detection radar algorithms. As a contribution to this goal, this paper describes the radar-based ...

Paul Joe; Don Burgess; Rod Potts; Tom Keenan; Greg Stumpf; Andrew Treloar

2004-02-01T23:59:59.000Z

396

Alaska Native Weatherization Training and Jobs Program First Steps Toward Tribal Weatherization – Human Capacity Development  

SciTech Connect

The Alaska Native Weatherization Training and Jobs Project expanded weatherization services for tribal members’ homes in southeast Alaska while providing weatherization training and on the job training (OJT) for tribal citizens that lead to jobs and most probably careers in weatherization-related occupations. The program resulted in; (a) 80 Alaska Native citizens provided with skills training in five weatherization training units that were delivered in cooperation with University of Alaska Southeast, in accordance with the U.S. Department of Energy Core Competencies for Weatherization Training that prepared participants for employment in three weatherizationrelated occupations: Installer, Crew Chief, and Auditor; (b) 25 paid OJT training opportunities for trainees who successfully completed the training course; and (c) employed trained personnel that have begun to rehab on over 1,000 housing units for weatherization.

Wiita, Joanne

2013-07-30T23:59:59.000Z

397

Building Energy Software Tools Directory: Weather Year for Energy...  

NLE Websites -- All DOE Office Websites (Extended Search)

Calculations 2 Weather Year for Energy Calculations 2 logo. Contains typical year hourly weather data for 77 locations in the United States and Canada. The Weather Year for Energy...

398

Operations of the National Weather Service Spaceflight Meteorology Group  

Science Conference Proceedings (OSTI)

Weather is a significant aspect of most space shuttle launches and landings. The National Weather Service Spaceflight Meteorology Group (SMG) at Johnson Space Center (JSC) in Houston, Texas, provides weather forecasts and advice to support space ...

Frank C. Brody; Richard A. Lafosse; Dan G. Bellue; Timothy D. Oram

1997-09-01T23:59:59.000Z

399

Severe and Convective Weather: A Central Region Forecasting Challenge  

Science Conference Proceedings (OSTI)

This paper is one of a series of papers dealing with operational weather forecasting within the Central Region of the National Weather Service. It focuses on the primary Central Region warm season weather producer, the thunderstorm. Some of the ...

Richard P. McNulty

1995-06-01T23:59:59.000Z

400

A Method for Designing a Fire Weather Network  

Science Conference Proceedings (OSTI)

Fire weather stations used to be located only where observers were available. Now, remote automatic weather stations can sample weather without manual assistance, virtually anywhere, Locating them, however, remains a problem. An objective method ...

Francis M. Fujioka

1986-09-01T23:59:59.000Z

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.


401

Realizations of Daily Weather in Forecast Seasonal Climate  

Science Conference Proceedings (OSTI)

Stochastic daily weather time series models (?“weather generators”?) are parameterized consistent with both local climate and probabilistic seasonal forecasts. Both single-station weather generators, and spatial networks of coherently operating ...

D. S. Wilks

2002-04-01T23:59:59.000Z

402

U.S. Economic Sensitivity to Weather Variability  

Science Conference Proceedings (OSTI)

To estimate the economic effects of weather variability in the United States, the authors define and measure weather sensitivity as the variability in economic output that is attributable to weather variability, accounting for changes in technology and ...

Jeffrey K. Lazo; Megan Lawson; Peter H. Larsen; Donald M. Waldman

2011-06-01T23:59:59.000Z

403

House Tightening Manual for Homeowners and Weatherization Contractors.  

SciTech Connect

The Bonneville Power Administration has sponsored preparation of this house tightening manual for use by weatherization contractors, homeowners, and others. It is a guide to location and repair of major residential air infiltration sources, based on the experience of professional ''house doctors,'' using trained visual inspection techniques. This manual describes how to locate and repair the kinds of leaks that were encountered in the 40 test homes, without test equipment.

Levi, Daniel; Boe, A.B.

1985-10-31T23:59:59.000Z

404

Building Energy Software Tools Directory: Weather Data Viewer  

NLE Websites -- All DOE Office Websites (Extended Search)

Russia South Africa Spain Sweden Switzerland United Kingdom United States Related Links Weather Data Viewer Weather Data Viewer logo. Displays actual design values, coincident...

405

Building Energy Software Tools Directory: Weather Data Viewer  

NLE Websites -- All DOE Office Websites (Extended Search)

Alphabetically Tools by Platform PC Mac UNIX Internet Tools by Country Related Links Weather Data Viewer Weather Data Viewer logo. Displays actual design values, coincident...

406

Building Energy Software Tools Directory : Weather Data Viewer  

NLE Websites -- All DOE Office Websites (Extended Search)

by Subject Tools Listed Alphabetically Tools by Platform Tools by Country Related Links Weather Data Viewer Back to Tool Screenshot for Weather Data Viewer. Screenshot for...

407

Window Manufacturer Sees Business Surge As Weatherization Supplier...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Window Manufacturer Sees Business Surge As Weatherization Supplier Window Manufacturer Sees Business Surge As Weatherization Supplier July 29, 2010 - 4:33pm Addthis Joshua DeLung...

408

Weather durability testing and failures in terrestrial flat plate ...  

Science Conference Proceedings (OSTI)

... Atlas XR-260 large scale xenon weathering device ... & standard Atlas xenon Weather-Ometers) ... Atlas SolarClimatic 1600 metal-halide “global” solar ...

2013-11-15T23:59:59.000Z

409

Integrate Real-Time Weather with Thermostat Electrical Usage...  

NLE Websites -- All DOE Office Websites (Extended Search)

Xiufeng Pang Weather and its dynamics are big drivers of energy usage. Integration of key weather variables - solar, wind, and temperature - into home energy management and demand...

410

Obama Administration Delivers More than $63 Million for Weatherization...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

63 Million for Weatherization Programs in Indiana and New Mexico Obama Administration Delivers More than 63 Million for Weatherization Programs in Indiana and New Mexico July 21,...

411

Illinois and Texas Towns See Weatherization Boost | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

and Texas Towns See Weatherization Boost Illinois and Texas Towns See Weatherization Boost March 19, 2010 - 11:47am Addthis Stephen Graff Former Writer & editor for Energy...

412

The Rationael for Future Weather Modification Research  

Science Conference Proceedings (OSTI)

A new national effort dealing with planned and inadvertent weather modification has been recommended. The contention is that this readiness stems from finally learning important facts about how to properly design and conduct difficult ...

Stanley A. Changnon

1980-06-01T23:59:59.000Z

413

Weatherization and Intergovernmental Program: Video of Obama...  

NLE Websites -- All DOE Office Websites (Extended Search)

Video of Obama Address to the White House Jobs and Economic Growth Forum to someone by E-mail Share Weatherization and Intergovernmental Program: Video of Obama Address to the...

414

Use of Climatological Data in Weather Insurance  

Science Conference Proceedings (OSTI)

There are three major types of crop-related weather insurance: hail, all perlis, and rain insurance. The development of rates is an exercise in applied climatology, and the importance of the historical data selected for assessing risk (and ...

Stanley A. Changnon; Joyce M. Changnon

1990-05-01T23:59:59.000Z

415

The Joint Airport Weather Studies Project  

Science Conference Proceedings (OSTI)

The Joint Airport Weather Studies (JAWS) Project will investigate the microburst event, having 2–10 km spatial and 2–10 min temporal scales, at Denver's Stapleton International Airport during the summer of 1982. JAWS applications and technology ...

John McCarthy; James W. Wilson; T. Theodore Fujita

1982-01-01T23:59:59.000Z

416

On the Sensitivity of Weather Radars  

Science Conference Proceedings (OSTI)

This paper discusses the subject of weather radar system sensitivity from a general point of view, with emphasis an the influence of wavelength. Expressions for the echo signal-to-noise ratio are examined using a detection theory approach to ...

Paul L. Smith

1986-12-01T23:59:59.000Z

417

An Airborne APT Weather Satellite Imaging System  

Science Conference Proceedings (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

418

Stratospheric Influences on Tropospheric Weather Systems  

Science Conference Proceedings (OSTI)

Four cases of tropospheric weather systems (two sea level cyclones, one sea level anticyclone, and one blocking midtropospheric anticyclone) are investigated with the goal of understanding the role of stratospheric versus tropospheric processes ...

Stephen J. Colucci

2010-02-01T23:59:59.000Z

419

BAD WEATHER? THEN SUE THE WEATHERMAN!  

Science Conference Proceedings (OSTI)

Weather forecasts have become demonstrably more accurate in recent decades due to increasingly sophisticated computer technology and models. Yet scientists cannot predict the future with 100% certainty. Relying on inaccurate or inadequate ...

Roberta Klein; Roger A. Pielke Jr.

2002-12-01T23:59:59.000Z

420

Precipitation at Ocean Weather Station “P"  

Science Conference Proceedings (OSTI)

This paper examines the 27-yr record of precipitation measurements at Ocean Weather Station “P” (50°N, 145°W). The credibility of the rainfall observations is assessed, and the testing of certain extraordinary features of the fall and winter ...

M. A. Jenkins; W. C. Wong; K. Higuchi; J. L. Knox

1994-05-01T23:59:59.000Z

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.


421

The Weatherization Training program at Pennsylvania College ...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Secretary Chu and the 'Sputnik Moment' New Orleans and Energy Efficiency Cathy Zoi on the new Home Energy Score pilot program Weatherizing Wilkes-Barre Prev 3 4 5 6 7 8 9 10 11...

422

The Weatherization Training program at Pennsylvania College ...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Cathy Zoi on Weatherization BP Oil Spill Footage (High Def) - Top Hat Procedure at 4850' - June 3 2010 (4 of 4) BP Oil Spill Footage (High Def) - Leak at 4850' - June 3 2010 (3 of...

423

Administration Announces Nearly $8 Billion in Weatherization...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

work and save families hundreds of dollars per year on their energy bills. To jump-start job creation and weatherization work, the Department of Energy is releasing the first...

424

Data Network Weather Service Reporting - Final Report  

SciTech Connect

A final report is made of a three-year effort to develop a new forecasting paradigm for computer network performance. This effort was made in co-ordination with Fermi Lab's construction of e-Weather Center.

Michael Frey

2012-08-30T23:59:59.000Z

425

Information Flow in Ensemble Weather Predictions  

Science Conference Proceedings (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

426

Winter Weather FAQs | Argonne National Laboratory  

NLE Websites -- All DOE Office Websites (Extended Search)

winter weather strikes overnight, these communications channels will be updated by 6 a.m., and as often as necessary thereafter. Those who live far from the laboratory may...

427

Piecewise Tendency Diagnosis of Weather Regime Transitions  

Science Conference Proceedings (OSTI)

Piecewise tendency diagnosis (PTD) is extended and employed to study the dynamics of weather regime transitions. Originally developed for adiabatic and inviscid quasigeostrophic flow on a beta plane, PTD partitions local geopotential tendencies ...

Katherine J. Evans; Robert X. Black

2003-08-01T23:59:59.000Z

428

Distributed Numerical Weather Prediction via Satellite  

Science Conference Proceedings (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

429

A Hole in the Weather Warning System  

Science Conference Proceedings (OSTI)

In this article, the problems deaf and hard of hearing people experience when attempting to accessthe weather warning systems in Oklahoma and Minnesota are documented. Deaf and hard of hearing people cannot hear CivilDefense sirens, cannot listen ...

Vincent T. Wood; Robert A. Weisman

2003-02-01T23:59:59.000Z

430

New Weatherization Training Center Opens in Utah | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.

431

Key findings of the national weatherization evaluation  

SciTech Connect

In 1990, the U.S. Department of Energy sponsored a comprehensive evaluation of its Weatherization Assistance Program, the nation`s largest residential energy conservation program. The primary goal of the evaluation was to establish whether the Program meets the objectives of its enabling legislation and fulfills its mission statement, to reduce the heating and cooling costs for low-income families-particularly the elderly, persons with disabilities, and children by improving the energy-efficiency of their homes and ensuring their health and safety. Oak Ridge National Laboratory managed a five-part study which produced a series of documents evaluating the Program. The objective of this document is to summarize the findings of the five-part National Weatherization Evaluation. The five studies were as follows: (1) Network Study-this study characterized the weatherization network`s leveraging, capabilities, procedures, staff, technologies, and innovations; (2) Resources and Population Study-this study profiled low-income weatherization resources, the weatherized population, and the population remaining to be served; (3) Multifamily Study-this study described the nature and extent of weatherization activities in larger multifamily buildings; (4) Single-family Study-this study estimated the national savings and cost- effectiveness of weatherizing single-family and small multifamily dwellings that use natural gas or electricity for space heating; (5) Fuel-Oil Study-this study estimated the savings and cost-effectiveness of weatherizing single-family homes, located in nine northeastern states, that use fuel oil for space heating. This paper provides a brief overview of each study`s purposes, research methods and most important findings.

Brown, M.A.; Berry, L.G.

1994-10-01T23:59:59.000Z

432

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

Science Conference Proceedings (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

433

NGNP: High Temperature Gas-Cooled Reactor Key Definitions, Plant Capabilities, and Assumptions  

SciTech Connect

This document provides key definitions, plant capabilities, and inputs and assumptions related to the Next Generation Nuclear Plant to be used in ongoing efforts related to the licensing and deployment of a high temperature gas-cooled reactor. These definitions, capabilities, and assumptions were extracted from a number of NGNP Project sources such as licensing related white papers, previously issued requirement documents, and preapplication interactions with the Nuclear Regulatory Commission (NRC).

Wayne Moe

2013-05-01T23:59:59.000Z

434

Human-Centered Systems Analysis of Aircraft Separation from Adverse Weather  

E-Print Network (OSTI)

Adverse weather significantly impacts the safety and efficiency of flight operations. Weather information

Vigeant-Langlois, Laurence

435

Building Energy Software Tools Directory : Weather Year for Energy...  

NLE Websites -- All DOE Office Websites (Extended Search)

Year for Energy Calculations 2 Back to Tool Screenshot for Weather Year for Energy Calculations 2...

436

Using Weathered Granite for Ceramic Tile Production - TMS  

Science Conference Proceedings (OSTI)

May 1, 2007 ... Using Weathered Granite for Ceramic Tile Production by Kalayanee Kooptamond and Danupon Tonnayopas ...

437

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

SciTech Connect

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

438

Weatherization and Intergovernmental Program: The National Training and  

NLE Websites -- All DOE Office Websites (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

439

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

NLE Websites -- All DOE Office Websites (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

440

How Do You Like Your Weather?: Using Weather Forecast Data to Improve Short-Term Load Forecasts  

Science Conference Proceedings (OSTI)

This document provides a quick overview of weather forecasts as a data issue in the development of electricity demand forecasts. These are three sections in this Brief: o reasons behind the rise in interest in using weather forecasts in electricity forecasting models, o an overview of what some utilities are doing to evaluate weather forecasts, and o a resource list of weather forecast providers.

2001-09-28T23:59:59.000Z

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.


441

US Department of Energy Weatherization Assistance Program Homes Weatherized by State  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

442

NREL RSF Weather Data 2011 A csv containing hourly weather data...  

Open Energy Info (EERE)

NREL RSF Weather Data 2011 A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. 2013-02-12T18:36:26Z 2013-02-12T18:36:26Z I am submitting...

443

WRF-Fire: Coupled Weather–Wildland Fire Modeling with the Weather Research and Forecasting Model  

Science Conference Proceedings (OSTI)

A wildland fire-behavior module, named WRF-Fire, was integrated into the Weather Research and Forecasting (WRF) public domain numerical weather prediction model. The fire module is a surface fire-behavior model that is two-way coupled with the ...

Janice L. Coen; Marques Cameron; John Michalakes; Edward G. Patton; Philip J. Riggan; Kara M. Yedinak

2013-01-01T23:59:59.000Z

444

Technique for tracking the effect of weatherization retrofits on low-income housing  

SciTech Connect

This report presents a technique for analyzing the effect of energy saving retrofits installed in low-income housing under a nationwide weatherization demonstration program. A tracking technique, based on the calculated balance-point temperature of each home prior to the weatherization, was developed to estimate the would-be fuel consumption over a period of time if the house had not been weatherized. The savings in fuel consumption for a home can be determined from the difference between the actual usage after retrofit and the calculated usage if it were not retrofitted. Besides the overall reduction, the saving in energy usage during different time periods while the house is being weatherized can be visualized from the graphical representation of the tracking technique.

Chang, Y.L.; Grot, R.A.

1983-04-01T23:59:59.000Z

445

Iron isotopic fractionation during continental weathering  

SciTech Connect

The biological activity on continents and the oxygen content of the atmosphere determine the chemical pathways through which Fe is processed at the Earth's surface. Experiments have shown that the relevant chemical pathways fractionate Fe isotopes. Measurements of soils, streams, and deep-sea clay indicate that the {sup 56}Fe/{sup 54}Fe ratio ({delta}{sup 56}Fe relative to igneous rocks) varies from +1{per_thousand} for weathering residues like soils and clays, to -3{per_thousand} for dissolved Fe in streams. These measurements confirm that weathering processes produce substantial fractionation of Fe isotopes in the modern oxidizing Earth surface environment. The results imply that biologically-mediated processes, which preferentially mobilize light Fe isotopes, are critical to Fe chemistry in weathering environments, and that the {delta}{sup 56}Fe of marine dissolved Fe should be variable and negative. Diagenetic reduction of Fe in marine sediments may also be a significant component of the global Fe isotope cycle. Iron isotopes provide a tracer for the influence of biological activity and oxygen in weathering processes through Earth history. Iron isotopic fractionation during weathering may have been smaller or absent in an oxygen-poor environment such as that of the early Precambrian Earth.

Fantle, Matthew S.; DePaolo, Donald J.

2003-10-01T23:59:59.000Z

446

Control of Regional and Global Weather  

E-Print Network (OSTI)

Author suggests and researches a new revolutionary idea for regional and global weather control. He offers to cover cities, bad regions of country, full country or a continent by a thin closed film with control clarity located at a top limit of the Earth troposphere (4 - 6 km). The film is supported at altitude by small additional atmospheric pressure and connected to ground by thin cables. It is known, the troposphere defines the Earth weather. Authors show this closed dome allows to do a full control of the weather in a given region (the day is always fine, the rain is only in night, no strong wind). The average Earth (white cloudy) reflectance equal 0.3 - 0.5. That means the Earth losses about 0.3 - 0.5 of a solar energy. The dome controls the clarity of film and converts the cold regions to subtropics and creates the hot deserts, desolate wildernesses to the prosperous regions with temperate climate. That is a realistic and the cheapest method of the weather control in the Earth at the current time. Key words: Global weather control, gigantic film dome, converting a cold region to subtropics, converting desolate wilderness to a prosperous region.

Alexander Bolonkin

2007-01-09T23:59:59.000Z

447

History of Operational Use of Weather Radar by U.S. Weather Services. Part II: Development of Operational Doppler Weather Radars  

Science Conference Proceedings (OSTI)

The second part of a history of the use of storm surveillance radars by operational military and civil weather services in the United States is presented. This part describes the genesis and evolution of two operational Doppler weather radars, ...

Roger C. Whiton; Paul L. Smith; Stuart G. Bigler; Kenneth E. Wilk; Albert C. Harbuck

1998-06-01T23:59:59.000Z

448

NREL: News Feature - Weatherization Work Guidelines Launched  

NLE Websites -- All DOE Office Websites (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

449

Healthy Housing Opportunities During Weatherization Work  

SciTech Connect

In the summer and early fall of 2010, the National Center for Healthy Housing interviewed people from a selection of state and local agencies that perform weatherizations on low-income housing in order to gauge their approach to improving the health and safety of the homes. The interviews provided a strong cross section of what work agencies can do, and how they go about funding this work when funds from the Weatherization Assistance Program (WAP) do not cover the full extent of the repairs. The report also makes recommendations for WAP in how to assist agencies to streamline and maximize the health and safety repairs they are able to make in the course of a standard weatherization.

Wilson, J.; Tohn, E.

2011-03-01T23:59:59.000Z

450

Integration of space weather into space situational awareness  

SciTech Connect

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

451

Result of recent weatherization retrofit projects  

Science Conference Proceedings (OSTI)

Pacific Gas and Electric (PG and E) and the Bonneville Power Administration (BPA) have conducted studies in their respective service areas in order to evaluate the cost-effectiveness of certain conservation retrofits. Twenty houses in Walnut Creek, California, underwent an infiltration reduction program, similar to house doctoring. Ten of these houses also received additional contractor-installed measures. BPA retrofitted 18 houses at its Midway substation in central Washington. Retrofits made to the houses included: attic and crawlspace insulation, foundation sill caulking, storm windows and doors, increased attic ventilation, and infiltration reduction. Energy consumption and weather data were monitored before and after each set of retrofits in both projects. Leakage measurements were made by researchers from the Energy Efficient Buildings Program using blower door fan pressurization, thereby allowing calculation of heating season infiltration rates. An energy use model correlating energy consumption with outside temperature was developed in order to determine improvements to the thermal conductance of the building envelope as a result of the retrofits. Energy savings were calculated based on the results of the energy use model. As a check on these findings, the Computerized Instrumented Residential Audit (CIRA) load calculation program developed at Lawrence Berkeley Laboratory provided a theoretical estimate of the savings resulting from the retrofits. At Midway, storm windows and doors were found to save the most energy. Because the Midway houses were not very leaky at the beginning of the experiment, the infiltration reduction procedures were less effective than expected. In the Walnut Creek project, the infiltration reduction procedures did decrease the leakiness of the test houses, but the effect upon energy savings was not great.

Dickinson, J.B.; Lipschutz, R.D.; O'Regan, B.; Wagner, B.S.

1982-07-01T23:59:59.000Z

452

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

453

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)

454

On the use of the parabolic concentration profile assumption for a rotary desiccant dehumidifier  

SciTech Connect

The current work describes a model for a desiccant dehumidifier which uses a parabolic concentration profile assumption to model the diffusion resistance inside the desiccant particle. The relative merits of the parabolic concentration profile model compared with widely utilized rotary desiccant wheel models are discussed. The periodic steady-state parabolic concentration profile model developed is efficient and can accommodate a variety of materials. These features make it an excellent tool for design studies requiring repetitive desiccant wheel simulations. A quartic concentration profile assumption was also investigated which yielded a 2.8 percent average improvement in prediction error over the parabolic model.

Chant, E.E. [Univ. of Turabo, Gurabo (Puerto Rico); Jeter, S.M. [Georgia Inst. of Technology, Atlanta, GA (United States). George W. Woodruff School of Mechanical Engineering

1995-02-01T23:59:59.000Z

455

EnergyPlus Weather Data for use with EnergyPlus Simulation Software  

DOE Data Explorer (OSTI)

EnergyPlus is simulation software from DOE's Office of Energy Efficiency and Renewable Energy (EE) that models heating, cooling, lighting, ventilating, and other energy flows as well as water in buildings. Because the environment surrounding any building is an important component of the energy choices that go into the building's design and the energy performance of that building thereafter, weather data from all parts of the world are made available through the EnergyPlus web site. The data are collected from 295 locations in the USA, 71 locations in Canada, and more than 800 locations in 100 other countries throughout the world. The weather data are arranged by World Meteorological Organization region and Country and made available in a text-based format derived from the Typical Meteorological Year 2 (TMY) weather format. In addition to using the weather data via the utility installed automatically with EnergyPlus software, users may view and download EnergyPlus weather data directly using a weather data layer for Google Earth.

456

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

Science Conference Proceedings (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

457

Atmos Energy - Natural Gas and Weatherization Efficiency Program |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

458

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

NLE Websites -- All DOE Office Websites (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

459

Alabama Power - Residential Heat Pump and Weatherization Loan Programs |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

460

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

NLE Websites -- All DOE Office Websites (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.


461

Tideland EMC - Weatherization Loan Program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.

462

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

NLE Websites -- All DOE Office Websites (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

463

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

NLE Websites -- All DOE Office Websites (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

464

WEATHER-ADJUSTED PERFORMANCE GUARANTEES Matt Hollingsworth  

E-Print Network (OSTI)

WEATHER-ADJUSTED PERFORMANCE GUARANTEES Matt Hollingsworth Clean Power Research Napa, CA 94559 for solar resource when creating guarantees in order to protect them against the risk created by solar production estimates coupled with a location-specific monthly solar resource index to enable installers

Perez, Richard R.

465

THE GALACTIC CENTER WEATHER FORECAST  

SciTech Connect

In accretion-based models for Sgr A*, the X-ray, infrared, and millimeter emission arise in a hot, geometrically thick accretion flow close to the black hole. The spectrum and size of the source depend on the black hole mass accretion rate M-dot . Since Gillessen et al. have recently discovered a cloud moving toward Sgr A* that will arrive in summer 2013, M-dot may increase from its present value M-dot{sub 0}. We therefore reconsider the 'best-bet' accretion model of Moscibrodzka et al., which is based on a general relativistic MHD flow model and fully relativistic radiative transfer, for a range of M-dot . We find that for modest increases in M-dot the characteristic ring of emission due to the photon orbit becomes brighter, more extended, and easier to detect by the planned Event Horizon Telescope submillimeter Very Long Baseline Interferometry experiment. If M-dot {approx}>8 M-dot{sub 0}, this 'silhouette' of the black hole will be hidden beneath the synchrotron photosphere at 230 GHz, and for M-dot {approx}>16 M-dot{sub 0} the silhouette is hidden at 345 GHz. We also find that for M-dot > 2 M-dot{sub 0} the near-horizon accretion flow becomes a persistent X-ray and mid-infrared source, and in the near-infrared Sgr A* will acquire a persistent component that is brighter than currently observed flares.

Moscibrodzka, M. [Department of Physics and Astronomy, University of Nevada, 4505 South Maryland Parkway, Las Vegas, NV 89154 (United States); Shiokawa, H.; Gammie, C. F. [Astronomy Department, University of Illinois, 1002 West Green Street, Urbana, IL 61801 (United States); Dolence, J. C., E-mail: monikam@physics.unlv.edu [Department of Astrophysical Sciences, Princeton University, Peyton Hall, 4 Ivy Lane, Princeton, NJ 08544 (United States)

2012-06-10T23:59:59.000Z

466

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

Science Conference Proceedings (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

467

Alternating Dual-Pulse, Dual-Frequency Techniques for Range and Velocity Ambiguity Mitigation on Weather Radars  

Science Conference Proceedings (OSTI)

This paper introduces a family of alternating dual-pulse, dual-frequency (ADPDF) techniques. These are based on frequency diversity and are proposed as a means to mitigate range and velocity ambiguities on Doppler weather radars. ADPDF techniques ...

Sebastián Torres; Richard Passarelli Jr.; Alan Siggia; Pentti Karhunen

2010-09-01T23:59:59.000Z

468

Multi-year, Summertime Observations of Daytime Fair-Weather Cumuli at the ARM Southern Great Plains facility  

Science Conference Proceedings (OSTI)

A long data record (14-year) of ground-based observations at the Atmospheric Radiation Measurement (ARM) program Southern Great Plains (SGP) site is analyzed to document the macroscopic and dynamical properties of daytime fair-weather cumulus ...

Arunchandra S. Chandra; P. Kollias; B. A. Albrecht

469

Biennial Assessment of the Fifth Power Plan Gas Turbine Power Plant Planning Assumptions  

E-Print Network (OSTI)

Biennial Assessment of the Fifth Power Plan Gas Turbine Power Plant Planning Assumptions October 17, 2006 Simple- and combined-cycle gas turbine power plants fuelled by natural gas are among the bulk-emission and efficient gas turbine technology made combined-cycle gas turbine power plants the "resource of choice

470

External review of the thermal energy storage (TES) cogeneration study assumptions. Final report  

DOE Green Energy (OSTI)

This report is to provide a detailed review of the basic assumptions made in the design, sizing, performance, and economic models used in the thermal energy storage (TES)/cogeneration feasibility studies conducted by Pacific Northwest Laboratory (PNL) staff. This report is the deliverable required under the contract.

Lai, B.Y.; Poirier, R.N. [Chicago Bridge and Iron Technical Services Co., Plainfield, IL (United States)

1996-08-01T23:59:59.000Z

471

Weather and Forecasting Challenges in the Pacific Region of the National Weather Service  

Science Conference Proceedings (OSTI)

The large area of responsibility covered by the Pacific Region of the National Weather Service provides a unique set of challenges to operational forecasters. Extratropical, subtropical, and tropical meteorological phenomena on a wide range of ...

Kevin R. Kodama; Steven Businger

1998-09-01T23:59:59.000Z

472

Developing hourly weather data for locations having only daily weather data  

Science Conference Proceedings (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

473

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

E-Print Network (OSTI)

of numerical weather prediction solar irradiance forecasts of numerical weather prediction for intra?day solar numerical weather prediction model for solar irradiance 

Mathiesen, Patrick; Collier, Craig; Kleissl, Jan

2013-01-01T23:59:59.000Z

474

Mesoscale Modeling for Mountain Weather Forecasting Over the Himalayas  

Science Conference Proceedings (OSTI)

Severe weather has a more calamitous effect in the mountainous region-because the terrain is complex and the economy is poorly developed and fragile. Such weather systems occurring on a small spatiotemporal scale invite application of models with ...

Someshwar Das; S. V. Singh; E. N. Rajagopal; Robert Gall

2003-09-01T23:59:59.000Z

475

Adverse-Weather Trends in the Canadian Arctic  

Science Conference Proceedings (OSTI)

This study provides an assessment of changes in the occurrence frequency of four types of adverse-weather (freezing precipitation, blowing snow, fog, and low ceilings) and no-weather (i.e., no precipitation or visibility obscuration) events as ...

John M. Hanesiak; Xiaolan L. Wang

2005-08-01T23:59:59.000Z

476

Early Canadian Weather Observers and the “Year Without a Summer”  

Science Conference Proceedings (OSTI)

The unusual spring and summer weather of the year 1816 in central Canada is discussed using Canadian newspaper accounts together with manuscript records from early amateur weather observers. Many of the spectacular meteorological events of this ...

Kevin Hamilton

1986-05-01T23:59:59.000Z

477

The Joint Agricultural Weather Facility's Operational Assessment Program  

Science Conference Proceedings (OSTI)

The Joint Agricultural Weather Facility (JAWF), a cooperative effort between the Climate Analysis Center, NMC/NWS/NOAA (National Meteorological Center/National Weather Service/National Oceanic and Atmospheric Administration) and the World ...

Raymond P. Motha; Thomas R. Heddinghaus

1986-09-01T23:59:59.000Z

478

2008 Weatherization and Intergovernmental Program (WIP) Market Report  

NLE Websites -- All DOE Office Websites (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

479

Budget Cutting and the Value of Weather Services  

Science Conference Proceedings (OSTI)

The authors discuss the relationship between budget-cutting exercises and knowledge of the value of weather services. The complex interaction between quality (accuracy) and value of weather forecasts prevents theoretical approaches from ...

Charles A. Doswell III; Harold E. Brooks

1998-03-01T23:59:59.000Z

480

The New Digital Forecast Database of the National Weather Service  

Science Conference Proceedings (OSTI)

The National Weather Service (NWS) has entered a new era in the production and dissemination of weather information and service to the nation. No longer are textual forecasts the primary medium of dissemination, but a digital database of official ...

Harry R. Glahn; David P. Ruth

2003-02-01T23:59:59.000Z

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.


481

United States weather resource data, compatible with System Advisor...  

Open Energy Info (EERE)

United States weather resource data, compatible with System Advisor Model (SAM)

Weather resource data for the United States for use in the System Advisor Model (SAM).
...

482

Simulation of Daily Weather Data Using Theoretical Probability Distributions  

Science Conference Proceedings (OSTI)

A computer simulation model was constructed to supply daily weather data to a plant disease management model for potato late blight. In the weather model Monte Carlo techniques were employed to generate daily values of precipitation, maximum ...

J. A. Bruhn; W. E. Fry; G. W. Fick

1980-09-01T23:59:59.000Z

483

Spatial Variability and Interpolation of Stochastic Weather Simulation Model Parameters  

Science Conference Proceedings (OSTI)

The spatial variability of 58 precipitation and temperature parameters from the “generation of weather elements for multiple applications” (GEM) weather generator has been investigated over a region of significant complexity in topography and ...

Gregory L. Johnson; Christopher Daly; George H. Taylor; Clayton L. Hanson

2000-06-01T23:59:59.000Z

484

TEACHMET: An Expert System for Teaching Weather Forecasting  

Science Conference Proceedings (OSTI)

Students or weather forecasting need to learn to identify efficiently the information relevant to the elements they predict. One way students learn these skills is by engaging in discussions of interesting weather situations as they occur. In ...

Nathan M. Reiss; James C. Hofmann

1988-04-01T23:59:59.000Z

485

Performance evaluation and optimization of nested high resolution weather simulations  

Science Conference Proceedings (OSTI)

Weather models with high spatial and temporal resolutions are required for accurate prediction of meso-micro scale weather phenomena. Using these models for operational purposes requires forecasts with sufficient lead time, which in turn calls for large ...

Preeti Malakar; Vaibhav Saxena; Thomas George; Rashmi Mittal; Sameer Kumar; Abdul Ghani Naim; Saiful Azmi Bin Hj Husain

2012-08-01T23:59:59.000Z

486

Assessing the Impact of Weather on Traffic Intensity  

Science Conference Proceedings (OSTI)

This paper focuses on the effect of weather conditions on daily traffic intensities (the number of cars passing a specific segment of a road). The main objective is to examination whether or not weather conditions uniformly alter daily traffic ...

Mario Cools; Elke Moons; Geert Wets

2010-01-01T23:59:59.000Z

487

Weather Impacts, Forecasts, and Policy: An Integrated Perspective  

Science Conference Proceedings (OSTI)

Society invests considerable resources into the science and technology of weather services. In order to effectively assess the market for weather services, and thus properly scale the level of resources that, for example, the U.S. Congress or a ...

Roger Pielke Jr.; R. E. Carbone

2002-03-01T23:59:59.000Z

488

Stepwise Onset of Monsoon Weather Observed in the Nepal Himalaya  

Science Conference Proceedings (OSTI)

Mountain weather changes in the Nepal Himalaya were intensively examined during the 2003 monsoon onset using in situ datasets, observed by multiple automatic weather stations (AWS) distributed across the Coordinated Enhanced Observing Period (...

K. Ueno; K. Toyotsu; L. Bertolani; G. Tartari

2008-07-01T23:59:59.000Z

489

Weatherization program in Region III: a management study. Final report  

SciTech Connect

The Weatherization Program, which uses Federal funds and job training program employees to weatherize the homes of low-income homeowners, was examined in the five states of Federal Region III (Pennsylvania, Maryland, Delaware, Virginia and West Virginia).

Baldwin, F.D.; Kinney, L.F.

1976-12-01T23:59:59.000Z

490

The Effectiveness of Weather Forecasts in Decision Making: An Example  

Science Conference Proceedings (OSTI)

Decision models involving prescribed fire (the use of fire as a silvicultural tool) were used to analyze the utility of four types of weather information as forecasts: climatology, current weather observations (used as a persistence forecast), ...

R. William Furman

1982-04-01T23:59:59.000Z

491

50th Anniversary of Operational Numerical Weather Prediction  

Science Conference Proceedings (OSTI)

The National Centers for Environmental Prediction (NCEP), Air Force Weather Agency (AFWA), Fleet Numerical Meteorology and Oceanography Center (FNMOC), National Weather Association, and American Meteorological Society (AMS) cosponsored a “...

Kristine Harper; Louis W. Uccellini; Lauren Morone; Eugenia Kalnay; Kenneth Carey

2007-05-01T23:59:59.000Z

492

Understanding Space Weather: The Sun as a Variable Star  

Science Conference Proceedings (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

493

Impacts of Extreme Weather Events on Transmission and Distribution Systems  

Science Conference Proceedings (OSTI)

Extreme weather encompasses weather phenomena that are especially severe, unseasonal, or at the extremes of historical distributions. Extreme weather events, such as Hurricane Katrina, for example, have resulted in widespread damage to the power infrastructure and caused severe outages, which affected millions of customers. This report discusses the impacts of extreme weather events on power systems and synthesizes utility experiences, lessons learned from different storms occurring around the globe, and...

2010-11-30T23:59:59.000Z

494

U.S. Commercial Buildings Weather-Adjusted Site Energy  

U.S. Energy Information Administration (EIA)

Energy Efficiency > Commercial Buildings Energy Intensities > Table 1b . U.S. Commercial Buildings Weather-Adjusted Site Energy

495

Weather and other events can cause disruptions to gasoline ...  

U.S. Energy Information Administration (EIA)

Weather and other events can cause disruptions to gasoline infrastructure and supply. Source: U.S. Energy Information Administration.

496

Solar Ramping Distributions over Multiple Timescales and Weather Patterns (Presentation)  

DOE Green Energy (OSTI)

This presentation offers new data and statistical analysis of ramping, solar power, and weather patterns in operational systems.

Hodge, B. M.; Hummon, M.; Orwig, K.

2011-10-01T23:59:59.000Z

497

California hydro forecast declines on dry weather - Today ...  

U.S. Energy Information Administration (EIA)

Includes hydropower, solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium. ... Updated March 5, 2013, to reflect weather developments.

498

Weather and other events can cause disruptions to gasoline ...  

U.S. Energy Information Administration (EIA)

Includes hydropower, solar, wind, geothermal, biomass and ethanol. ... Weather and other events can cause disrup