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1

NOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future)  

E-Print Network (OSTI)

conditions for up to 5 days in the future. These forecasts are run twice daily, and you can step through are generated every 6 hours and you can step backward in hourly increments to view conditions over the previousNOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future) and Nowcasts

2

Expert Panel: Forecast Future Demand for Medical Isotopes  

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

Expert Panel: Expert Panel: Forecast Future Demand for Medical Isotopes March 1999 Expert Panel: Forecast Future Demand for Medical Isotopes September 25-26, 1998 Arlington, Virginia The Expert Panel ............................................................................................. Page 1 Charge To The Expert Panel........................................................................... Page 2 Executive Summary......................................................................................... Page 3 Introduction ...................................................................................................... Page 4 Rationale.......................................................................................................... Page 6 Economic Analysis...........................................................................................

3

Review/Verify Strategic Skills Needs/Forecasts/Future Mission...  

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

ReviewVerify Strategic Skills NeedsForecastsFuture Mission Shifts Annual Lab Plan (1-10 yrs) Fermilab Strategic Agenda (2-5 yrs) Sector program Execution Plans (1-3...

4

Fuzzy rule-based methodology for residential load behaviour forecasting during power systems restoration  

Science Journals Connector (OSTI)

Inadequate load pickup during power system restoration can lead to overload and underfrequency conditions, and even restart the blackout process, due to thermal energy losses. Thus, load behaviour estimation during restoration is desirable to avoid inadequate pickups. This work describes an artificial intelligence method to aid the operator in taking decisions during system restoration by estimating residential load behaviour parameters such as overload in buses and the necessary time to recover steady-state power consumption. This method uses a fuzzy rule-based system to forecast the residential load, obtaining correct estimates with low computational cost. Test results using actual substation data are presented.

Lia Toledo Moreira Mota; Alexandre Assis Mota; Andre Luiz Morelato Franca

2005-01-01T23:59:59.000Z

5

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network (OSTI)

LBL-34045 UC-1600 Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting-uses include Heating, Ventilation and Air Conditioning (HVAC). Our analysis uses the modeling framework provided by the HVAC module in the Residential End-Use Energy Planning System (REEPS), which was developed

6

Expert Panel: Forecast Future Demand for Medical Isotopes | Department of  

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

Expert Panel: Forecast Future Demand for Medical Isotopes Expert Panel: Forecast Future Demand for Medical Isotopes Expert Panel: Forecast Future Demand for Medical Isotopes The Expert Panel has concluded that the Department of Energy and National Institutes of Health must develop the capability to produce a diverse supply of radioisotopes for medical use in quantities sufficient to support research and clinical activities. Such a capability would prevent shortages of isotopes, reduce American dependence on foreign radionuclide sources and stimulate biomedical research. The expert panel recommends that the U.S. government build this capability around either a reactor, an accelerator or a combination of both technologies as long as isotopes for clinical and research applications can be supplied reliably, with diversity in adequate

7

Residential  

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

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

8

An evaluation of market penetration forecasting methodologies for new residential and commercial energy technologies  

SciTech Connect

Forecasting market penetration is an essential step in the development and assessment of new technologies. This report reviews several methodologies that are available for market penetration forecasting. The primary objective of this report is to help entrepreneurs understand these methodologies and aid in the selection of one or more of them for application to a particular new technology. This report also illustrates the application of these methodologies, using examples of new technologies, such as the heat pump, drawn from the residential and commercial sector. The report concludes with a brief discussion of some considerations in selecting a forecasting methodology for a particular situation. It must be emphasized that the objective of this report is not to construct a specific market penetration model for new technologies but only to provide a comparative evaluation of methodologies that would be useful to an entrepreneur who is unfamiliar with the range of techniques available. The specific methodologies considered in this report are as follows: subjective estimation methods, market surveys, historical analogy models, time series models, econometric models, diffusion models, economic cost models, and discrete choice models. In addition to these individual methodologies, which range from the very simple to the very complex, two combination approaches are also briefly discussed: (1) the economic cost model combined with the diffusion model and (2) the discrete choice model combined with the diffusion model. This discussion of combination methodologies is not meant to be exhaustive. Rather, it is intended merely to show that many methodologies often can complement each other. A combination of two or more different approaches may be better than a single methodology alone.

Raju, P.S.; Teotia, A.P.S.

1985-05-01T23:59:59.000Z

9

Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts -- final report  

SciTech Connect

This report summarizes findings from a unique project to improve the end-use electricity load shape and peak demand forecasts made by the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). First, the direct incorporation of end-use metered data into electricity demand forecasting models is a new approach that has only been made possible by recent end-use metering projects. Second, and perhaps more importantly, the joint-sponsorship of this analysis has led to the development of consistent sets of forecasting model inputs. That is, the ability to use a common data base and similar data treatment conventions for some of the forecasting inputs frees forecasters to concentrate on those differences (between their competing forecasts) that stem from real differences of opinion, rather than differences that can be readily resolved with better data. The focus of the analysis is residential space cooling, which represents a large and growing demand in the PG&E service territory. Using five years of end-use metered, central air conditioner data collected by PG&E from over 300 residences, we developed consistent sets of new inputs for both PG&E`s and CEC`s end-use load shape forecasting models. We compared the performance of the new inputs both to the inputs previously used by PG&E and CEC, and to a second set of new inputs developed to take advantage of a recently added modeling option to the forecasting model. The testing criteria included ability to forecast total daily energy use, daily peak demand, and demand at 4 P.M. (the most frequent hour of PG&E`s system peak demand). We also tested the new inputs with the weather data used by PG&E and CEC in preparing their forecasts.

Eto, J.H.; Moezzi, M.M.

1993-12-01T23:59:59.000Z

10

Residential  

Science Journals Connector (OSTI)

The residential sector can be divided into apartment blocks and low-rise housing. Apartment blocks have many similarities to the non-domestic sector, such as office buildings, which are covered by the range of...

2009-01-01T23:59:59.000Z

11

RESIDENTIAL SECTOR END-USE FORECASTING WITH EPRI-REEPS 2.1: SUMMARY INPUT ASSUMPTIONS AND RESULTS  

E-Print Network (OSTI)

-76SF00098. #12;#12;i ABSTRACT This paper describes current and projected future energy use by end energy intensity per household of the residential sector is declining, and the electricity intensity per. Sanstad, and Leslie Shown Energy Analysis Program Energy and Environment Division Ernest Orlando Lawrence

12

Future Sustainability Forecasting by Exchange Markets: Basic Theory and an Application  

Science Journals Connector (OSTI)

Future Sustainability Forecasting by Exchange Markets: Basic Theory and an Application ... For example, there are often subtle but persistent price signals embedded in long-term investment decisions and stock price fluctuations. ...

Nataliya Malyshkina; Deb Niemeier

2010-11-08T23:59:59.000Z

13

Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy  

Science Journals Connector (OSTI)

Abstract Buildings are the dominant source of energy consumption and environmental emissions in urban areas. Therefore, the ability to forecast and characterize building energy consumption is vital to implementing urban energy management and efficiency initiatives required to curb emissions. Advances in smart metering technology have enabled researchers to develop “sensor based” approaches to forecast building energy consumption that necessitate less input data than traditional methods. Sensor-based forecasting utilizes machine learning techniques to infer the complex relationships between consumption and influencing variables (e.g., weather, time of day, previous consumption). While sensor-based forecasting has been studied extensively for commercial buildings, there is a paucity of research applying this data-driven approach to the multi-family residential sector. In this paper, we build a sensor-based forecasting model using Support Vector Regression (SVR), a commonly used machine learning technique, and apply it to an empirical data-set from a multi-family residential building in New York City. We expand our study to examine the impact of temporal (i.e., daily, hourly, 10 min intervals) and spatial (i.e., whole building, by floor, by unit) granularity have on the predictive power of our single-step model. Results indicate that sensor based forecasting models can be extended to multi-family residential buildings and that the optimal monitoring granularity occurs at the by floor level in hourly intervals. In addition to implications for the development of residential energy forecasting models, our results have practical significance for the deployment and installation of advanced smart metering devices. Ultimately, accurate and cost effective wide-scale energy prediction is a vital step towards next-generation energy efficiency initiatives, which will require not only consideration of the methods, but the scales for which data can be distilled into meaningful information.

Rishee K. Jain; Kevin M. Smith; Patricia J. Culligan; John E. Taylor

2014-01-01T23:59:59.000Z

14

Improved forecasts of extreme weather events by future space borne Doppler wind lidar  

E-Print Network (OSTI)

sensitive areas. To answer these questions simulation experiments with state-of-the-art numerical weather prediction (NWP) models have proved great value to test future meteorological observing systems a prioriImproved forecasts of extreme weather events by future space borne Doppler wind lidar Gert

Marseille, Gert-Jan

15

Current Status and Future Scenarios of Residential Building Energy Consumption in China  

E-Print Network (OSTI)

The China Residential Energy Consumption Survey, Human andof Residential Building Energy Consumption in China Nan ZhouResidential Building Energy Consumption in China Nan Zhou*,

Zhou, Nan

2010-01-01T23:59:59.000Z

16

Quantile Forecasting of Commodity Futures' Returns: Are Implied Volatility Factors Informative?  

E-Print Network (OSTI)

This study develops a multi-period log-return quantile forecasting procedure to evaluate the performance of eleven nearby commodity futures contracts (NCFC) using a sample of 897 daily price observations and at-the-money (ATM) put and call implied...

Dorta, Miguel

2012-07-16T23:59:59.000Z

17

Application of neural networking in live cattle futures market: an approach to price-forecasting  

E-Print Network (OSTI)

-Ju Chou, B. S. , Tunghai University, Taiwan Chair of Advisory Committee Dr. John P. Walter The ability to forecast closing price changes using neural networking technique in the live cattle futures market was investigated. Futures prices and contract... volumes from 1977 through 1991 were obtained for four commodities: live cattle, feeder cattle, live hogs and corn. Twelve neural networks were constructed, one for each combination of six contract months and two uading periods. The two trading periods...

Chou, Chien-Ju

2012-06-07T23:59:59.000Z

18

On the forecasting of the challenging world future scenarios  

Science Journals Connector (OSTI)

Logistic and power law methodologies for both retrospective and prospective analyses of extended time series describing evolutionary growth processes, in environments with finite resources, are confronted. While power laws may eventually apply only to the early stages of said growth process, the Allee logistic model seems applicable over the entire span of a long range process. On applying the Allee logistic model to both the world population and the world gross domestic product time series, from 1 to 2008 AD, a projection was obtained that along the next few decades the world should experience a new economic boom phase with the world GDP peaking around the year 2020 and proceeding from then on towards a saturation value of about 142 trillion international dollars, while the world population should reach 8.9 billion people by 2050. These results were then used to forecast the behavior of the supply and consumption of energy and food, two of the main commodities that drive the world system. Our findings suggest that unless the currently prevailing focus on economic growth is changed into that of sustainable prosperity, human society may run into a period of serious economical and social struggles with unpredictable political consequences.

Luiz C.M. Miranda; C.A.S. Lima

2011-01-01T23:59:59.000Z

19

China's Present Situation of Coal Consumption and Future Coal Demand Forecast  

Science Journals Connector (OSTI)

This article analyzes China's coal consumption changes since 1991 and proportion change of coal consumption to total energy consumption. It is argued that power, iron and steel, construction material, and chemical industries are the four major coal consumption industries, which account for 85% of total coal consumption in 2005. Considering energy consumption composition characteristics of these four industries, major coal demand determinants, potentials of future energy efficiency improvement, and structural changes, etc., this article makes a forecast of 2010s and 2020s domestic coal demand in these four industries. In addition, considering such relevant factors as our country's future economic growth rate and energy saving target, it forecasts future energy demands, using per unit GDP energy consumption method and energy elasticity coefficient method as well. Then it uses other institution's results about future primary energy demand, excluding primary coal demand, for reference, and forecasts coal demands in 2010 and 2020 indirectly. After results comparison between these two methods, it is believed that coal demands in 2010 might be 2620–2850 million tons and in 2020 might be 3090–3490 million tons, in which, coal used in power generation is still the driven force of coal demand growth.

Wang Yan; Li Jingwen

2008-01-01T23:59:59.000Z

20

Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices  

E-Print Network (OSTI)

This paper presents a model based on multilayer feedforward neural network to forecast crude oil spot price direction in the short-term, up to three days ahead. A great deal of attention was paid on finding the optimal ANN model structure. In addition, several methods of data pre-processing were tested. Our approach is to create a benchmark based on lagged value of pre-processed spot price, then add pre-processed futures prices for 1, 2, 3,and four months to maturity, one by one and also altogether. The results on the benchmark suggest that a dynamic model of 13 lags is the optimal to forecast spot price direction for the short-term. Further, the forecast accuracy of the direction of the market was 78%, 66%, and 53% for one, two, and three days in future conclusively. For all the experiments, that include futures data as an input, the results show that on the short-term, futures prices do hold new information on the spot price direction. The results obtained will generate comprehensive understanding of the cr...

Kulkarni, Siddhivinayak

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices  

SciTech Connect

On December 9, the reference case projections from ''Annual Energy Outlook 2005 (AEO 2005)'' were posted on the Energy Information Administration's (EIA) web site. As some of you may be aware, we at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk. As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past four years, forward natural gas contracts (e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past four years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation (presuming that long-term price stability is valued). In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2005. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or, more recently (and briefly), http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past four AEO releases (AEO 2001-AE0 2004), we once again find that the AEO 2005 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEXAEO 2005 reference case comparison yields by far the largest premium--$1.11/MMBtu levelized over six years--that we have seen over the last five years. In other words, on average, one would have to pay $1.11/MMBtu more than the AEO 2005 reference case natural gas price forecast in order to lock in natural gas prices over the coming six years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation. Fixed-price renewables obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of six years.

Bolinger, Mark; Wiser, Ryan

2004-12-13T23:59:59.000Z

22

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect

On December 5, 2006, the reference case projections from 'Annual Energy Outlook 2007' (AEO 2007) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past six years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past six years at least, levelized cost comparisons of fixed-price renewable generation with variable-price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are 'biased' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2007. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past six AEO releases (AEO 2001-AEO 2006), we once again find that the AEO 2007 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. Specifically, the NYMEX-AEO 2007 premium is $0.73/MMBtu levelized over five years. In other words, on average, one would have had to pay $0.73/MMBtu more than the AEO 2007 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

Bolinger, Mark; Wiser, Ryan

2006-12-06T23:59:59.000Z

23

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect

On December 12, 2005, the reference case projections from ''Annual Energy Outlook 2006'' (AEO 2006) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past five years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past five years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2006. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past five AEO releases (AEO 2001-AEO 2005), we once again find that the AEO 2006 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEX-AEO 2006 reference case comparison yields by far the largest premium--$2.3/MMBtu levelized over five years--that we have seen over the last six years. In other words, on average, one would have had to pay $2.3/MMBtu more than the AEO 2006 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

Bolinger, Mark; Wiser, Ryan

2005-12-19T23:59:59.000Z

24

Forecasting future oil production in Norway and the UK: a general improved methodology  

E-Print Network (OSTI)

We present a new Monte-Carlo methodology to forecast the crude oil production of Norway and the U.K. based on a two-step process, (i) the nonlinear extrapolation of the current/past performances of individual oil fields and (ii) a stochastic model of the frequency of future oil field discoveries. Compared with the standard methodology that tends to underestimate remaining oil reserves, our method gives a better description of future oil production, as validated by our back-tests starting in 2008. Specifically, we predict remaining reserves extractable until 2030 to be 188 +/- 10 million barrels for Norway and 98 +/- 10 million barrels for the UK, which are respectively 45% and 66% above the predictions using the standard methodology.

Fievet, Lucas; Cauwels, Peter; Sornette, Didier

2014-01-01T23:59:59.000Z

25

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network (OSTI)

Consumption and Expenditures 1992. Energy Information Administration, U.S.92). April. US DOE. 1995c. Residential Energy ConsumptionConsumption and Expenditures 1993. EIA, Energy Information Administration, U.S.

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

26

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.

27

Models for residential- and commercial-sector energy-conservation analysis: applications, limitations, and future potential. Final report  

SciTech Connect

This report reviews four of the major models used by the Department of Energy (DOE) for energy conservation analyses in the residential- and commercial-building sectors. The objective is to provide a critical analysis of how these models can serve as tools for DOE and its Conservation Policy Office in evaluating and quantifying their policy and program requirements. For this, the study brings together information on the models' analytical structure and their strengths and limitations in policy applications these are then employed to assess the most-effective role for each model in addressing future issues of buildings energy-conservation policy and analysis. The four models covered are: Oak Ridge Residential Energy Model; Micro Analysis of Transfers to Households/Comprehensive Human Resources Data System (MATH/CHRDS) Model; Oak Ridge Commercial Energy Model; and Brookhaven Buildings Energy Conservation Optimization Model (BECOM).

Cole, Henry E.; Fullen, Robert E.

1980-09-01T23:59:59.000Z

28

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.

29

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

30

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

31

A demand side management strategy based on forecasting of residential renewable sources: A smart home system in Turkey  

Science Journals Connector (OSTI)

Abstract The existing electricity systems have been substantially designed to allow only centralized power generation and unidirectional power flow. Therefore, the objective of improving the conventional power systems with the capabilities of decentralized generation and advanced control has conflicted with the present power system infrastructure and thus a profound change has necessitated in the current power grids. To that end, the concept of smart grid has been introduced at the last decades in order to accomplish the modernization of the power grid while incorporating various capabilities such as advanced metering, monitoring and self-healing to the systems. Among the various advanced components in smart grid structure, “smart home” is of vital importance due to its handling difficulties caused by the stochastic behaviors of inhabitants. However, limited studies concerning the implementation of smart homes have so far been reported in the literature. Motivated by this need, this paper investigates an experimental smart home with various renewable energy sources and storage systems in terms of several aspects such as in-home energy management, appliances control and power flow. Furthermore, the study represents one of the very first attempts to evaluate the contribution of power forecasting of renewable energy sources on the performance of smart home concepts.

A. Tascikaraoglu; A.R. Boynuegri; M. Uzunoglu

2014-01-01T23:59:59.000Z

32

1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.  

SciTech Connect

This publication documents the load forecast scenarios and assumptions used to prepare BPA`s Whitebook. It is divided into: intoduction, summary of 1993 Whitebook electricity demand forecast, conservation in the load forecast, projection of medium case electricity sales and underlying drivers, residential sector forecast, commercial sector forecast, industrial sector forecast, non-DSI industrial forecast, direct service industry forecast, and irrigation forecast. Four appendices are included: long-term forecasts, LTOUT forecast, rates and fuel price forecasts, and forecast ranges-calculations.

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

33

Residential and Transport Energy Use in India: Past Trend and Future Outlook  

E-Print Network (OSTI)

GDP per capita Transport Future outlook Drivers of Transport Energyenergy demand per passenger-km. Figure 20. Car Ownership and GDP

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

34

The National Energy Modeling System: An Overview 2000 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. Figure 5. Residential Demand Module Structure RDM incorporates the effects of four broadly-defined determinants of energy consumption: economic and demographic effects, structural effects, technology turnover and advancement effects, and energy market effects. Economic and demographic effects include the number, dwelling type (single-family, multi-family or mobile homes), occupants per household, and location of housing units. Structural effects include increasing average dwelling size and changes in the mix of desired end-use services provided by energy (new end uses and/or increasing penetration of current end uses, such as the increasing popularity of electronic equipment and computers). Technology effects include changes in the stock of installed equipment caused by normal turnover of old, worn out equipment with newer versions which tend to be more energy efficient, the integrated effects of equipment and building shell (insulation level) in new construction, and in the projected availability of even more energy-efficient equipment in the future. Energy market effects include the short-run effects of energy prices on energy demands, the longer-run effects of energy prices on the efficiency of purchased equipment and the efficiency of building shells, and limitations on minimum levels of efficiency imposed by legislated efficiency standards.

35

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

36

Energy Data Sourcebook for the U.S. Residential Sector  

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

Data Sourcebook for the U.S. Residential Sector Data Sourcebook for the U.S. Residential Sector Title Energy Data Sourcebook for the U.S. Residential Sector Publication Type Report LBNL Report Number LBNL-40297 Year of Publication 1997 Authors Wenzel, Thomas P., Jonathan G. Koomey, Gregory J. Rosenquist, Marla C. Sanchez, and James W. Hanford Date Published 09/1997 Publisher Lawrence Berkeley National Laboratory City Berkeley, CA ISBN Number LBNL-40297, UC-1600 Keywords Enduse, Energy End-Use Forecasting, EUF Abstract Analysts assessing policies and programs to improve energy efficiency in the residential sector require disparate input data from a variety of sources. This sourcebook, which updates a previous report, compiles these input data into a single location. The data provided include information on end-use unit energy consumption (UEC) values of appliances and equipment; historical and current appliance and equipment market shares; appliance and equipment efficiency and sales trends; appliance and equipment efficiency standards; cost vs. efficiency data for appliances and equipment; product lifetime estimates; thermal shell characteristics of buildings; heating and cooling loads; shell measure cost data for new and retrofit buildings; baseline housing stocks; forecasts of housing starts; and forecasts of energy prices and other economic drivers. This report is the essential sourcebook for policy analysts interested in residential sector energy use. The report can be downloaded from the Web at http://enduse.lbl.gov/Projects/RED.html. Future updates to the report, errata, and related links, will also be posted at this address.

37

Impact of past and future residential housing development patterns on energy demand and related emissions  

Science Journals Connector (OSTI)

Strategies to meet the needs of Melbourne’s future residents, while restricting greenhouse gas emissions, have been proposed. These include increasing public transport patronage to 20% and mandating the energy ef...

R. J. Fuller; R. H. Crawford

2011-06-01T23:59:59.000Z

38

Volatility regimes, asymmetric basis effects and forecasting performance: An empirical investigation of the WTI crude oil futures market  

Science Journals Connector (OSTI)

This study employs a flexible regime-switching EGARCH model with Student-t distributed error terms to investigate whether volatility regimes and basis affect the behavior of crude oil futures returns, including the conditional mean, variance, skewness, kurtosis as well as the extent of heavy-tailedness. The study also examines whether volatility regimes and asymmetric basis effects can improve the forecasting accuracy. The main merit of the empirical model is that the basis effect is allowed to be asymmetric and to vary across volatility regimes. Empirical results suggest that the conditional mean and variance respond to the basis asymmetrically and nonlinearly, and that the responses of transition probabilities to the basis are symmetric. Furthermore, the conditional higher moments are sensitive to the absolute value of basis, and the heavy tailed characteristic can be greatly alleviated by taking into account the asymmetric basis effects and regime switches. Finally, the regime switches and asymmetric basis effects play decisive roles in forecasting return, volatility and tail distribution.

Kuang-Liang Chang

2012-01-01T23:59:59.000Z

39

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.

40

4 - Future industrial coal utilization: forecasts and emerging technological and regulatory issues  

Science Journals Connector (OSTI)

Abstract: Coal production and utilization will grow substantially in the future. This chapter starts by describing coal production and consumption, with a focus on future trends. A discussion of major technology and regulatory issues for coal-fired power plants and the production of metallurgical coal then follows.

J.K. Alderman

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

Notes: Notes: Prices have already recovered from the spike, but are expected to remain elevated over year-ago levels because of the higher crude oil prices. There is a lot of uncertainty in the market as to where crude oil prices will be next winter, but our current forecast has them declining about $2.50 per barrel (6 cents per gallon) from today's levels by next October. U.S. average residential heating oil prices peaked at almost $1.50 as a result of the problems in the Northeast this past winter. The current forecast has them peaking at $1.08 next winter, but we will be revisiting the outlook in more detail next fall and presenting our findings at the annual Winter Fuels Conference. Similarly, diesel prices are also expected to fall. The current outlook projects retail diesel prices dropping about 14 cents per gallon

42

Forecasting the Standard & Poor's 500 stock index futures price: interest rates, dividend yields, and cointegration  

E-Print Network (OSTI)

Daily Standard & Poor's 500 stock index cash and futures prices are studies in a cointegration framework using Johansen's maximum likelihood procedure. To account for the time varying relationship(basis) between the two markets, a theoretical...

Fritsch, Roger Erwin

1997-01-01T23:59:59.000Z

43

Residential Lighting  

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

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

44

Residential Weatherization  

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

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

45

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

that forecast US residential energy consumption by end-use.new unit energy consumption in the U.S. DOE appliancethe Residential Energy Consumption Survey, or RECS (US DOE

Wenzel, T.P.

2010-01-01T23:59:59.000Z

46

Propane demand modeling for residential sectors- A regression analysis.  

E-Print Network (OSTI)

??This thesis presents a forecasting model for the propane consumption within the residential sector. In this research we explore the dynamic behavior of different variables… (more)

Shenoy, Nitin K.

2011-01-01T23:59:59.000Z

47

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption by End-Use Sector Energy Consumption by End-Use Sector In the IEO2005 projections, end-use energy consumption in the residential, commercial, industrial, and transportation sectors varies widely among regions and from country to country. One way of looking at the future of world energy markets is to consider trends in energy consumption at the end-use sector level. With the exception of the transportation sector, which is almost universally dominated by petroleum products at present, the mix of energy use in the residential, commercial, and industrial sectors can vary widely from country to country, depending on a combination of regional factors, such as the availability of energy resources, the level of economic development, and political, social, and demographic factors. This chapter outlines the International Energy Outlook 2005 (IEO2005) forecast for regional energy consumption by end-use sector.

48

Future scenarios and trends in energy generation in brazil: supply and demand and mitigation forecasts  

Science Journals Connector (OSTI)

Abstract The structure of the Brazilian energy matrix defines Brazil as a global leader in power generation from renewable sources. In 2011, the share of renewable sources in electricity production reached 88.8%, mainly due to the large national water potential. Although the Brazilian energy model presents a strong potential for expansion, the total energy that could be used with most current renewable technologies often outweighs the national demand. The current composition of the national energy matrix has outstanding participation of hydropower, even though the country has great potential for the exploitation of other renewable energy sources such as wind, solar and biomass. This document therefore refers to the trend of evolution of the Brazilian Energy Matrix and exposes possible mitigation scenarios, also considering climate change. The methodology to be used in the modeling includes the implementation of the LEAP System (Long-range Energy Alternatives Planning) program, developed by the Stockholm Environment Institute, which allows us to propose different scenarios under the definition of socioeconomic scenarios and base power developed in the context of the REGSA project (Promoting Renewable Electricity Generation in South America). Results envision future scenarios and trends in power generation in Brazil, and the projected demand and supply of electricity for up to 2030.

José Baltazar Salgueirinho Osório De Andrade Guerra; Luciano Dutra; Norma Beatriz Camisão Schwinden; Suely Ferraz de Andrade

2014-01-01T23:59:59.000Z

49

Forecasting wireless communication technologies  

Science Journals Connector (OSTI)

The purpose of the paper is to present a formal comparison of a variety of multiple regression models in technology forecasting for wireless communication. We compare results obtained from multiple regression models to determine whether they provide a superior fitting and forecasting performance. Both techniques predict the year of wireless communication technology introduction from the first (1G) to fourth (4G) generations. This paper intends to identify the key parameters impacting the growth of wireless communications. The comparison of technology forecasting approaches benefits future researchers and practitioners when developing a prediction of future wireless communication technologies. The items of focus will be to understand the relationship between variable selection and model fit. Because the forecasting error was successfully reduced from previous approaches, the quadratic regression methodology is applied to the forecasting of future technology commercialisation. In this study, the data will show that the quadratic regression forecasting technique provides a better fit to the curve.

Sabrina Patino; Jisun Kim; Tugrul U. Daim

2010-01-01T23:59:59.000Z

50

Average Residential Price  

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

Data Series: Average Residential Price Residential Price - Local Distribution Companies Residential Price - Marketers Residential % Sold by Local Distribution Companies Average...

51

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-07-01T23:59:59.000Z

52

Procedures and Standards for Residential Ventilation System Commissioning:  

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

Procedures and Standards for Residential Ventilation System Commissioning: Procedures and Standards for Residential Ventilation System Commissioning: An Annotated Bibliography Title Procedures and Standards for Residential Ventilation System Commissioning: An Annotated Bibliography Publication Type Report LBNL Report Number LBNL-6142E Year of Publication 2013 Authors J. Chris Stratton, and Craig P. Wray Keywords ASHRAE 62.2, commissioning, procedures, residential, standards, ventilation Abstract Beginning with the 2008 version of Title 24, new homes in California must comply with ANSI/ASHRAE Standard 62.2-2007 requirements for residential ventilation. Where installed, the limited data available indicate that mechanical ventilation systems do not always perform optimally or even as many codes and forecasts predict. Commissioning such systems when they are installed or during subsequent building retrofits is a step towards eliminating deficiencies and optimizing the tradeoff between energy use and acceptable IAQ. Work funded by the California Energy Commission about a decade ago at Berkeley Lab documented procedures for residential commissioning, but did not focus on ventilation systems. Since then, standards and approaches for commissioning ventilation systems have been an active area of work in Europe. This report describes our efforts to collect new literature on commissioning procedures and to identify information that can be used to support the future development of residential-ventilation-specific procedures and standards. We recommend that a standardized commissioning process and a commissioning guide for practitioners be developed, along with a combined energy and IAQ benefit assessment standard and tool, and a diagnostic guide for estimating continuous pollutant emission rates of concern in residences (including a database that lists emission test data for commercially-available labeled products).

53

Residential Buildings  

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

Residential Residential Residential Buildings Residential buildings-such as single family homes, townhomes, condominiums, and apartment buildings-are all covered by the Residential Energy Consumption Survey (RECS). See the RECS home page for further information. However, buildings that offer multiple accomodations such as hotels, motels, inns, dormitories, fraternities, sororities, convents, monasteries, and nursing homes, residential care facilities are considered commercial buildings and are categorized in the CBECS as lodging. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/residential.html

54

Electricity price forecasting: A review of the state-of-the-art with a look into the future  

Science Journals Connector (OSTI)

Abstract A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the last 15 years, with varying degrees of success. This review article aims to explain the complexity of available solutions, their strengths and weaknesses, and the opportunities and threats that the forecasting tools offer or that may be encountered. The paper also looks ahead and speculates on the directions EPF will or should take in the next decade or so. In particular, it postulates the need for objective comparative EPF studies involving (i) the same datasets, (ii) the same robust error evaluation procedures, and (iii) statistical testing of the significance of one model’s outperformance of another.

Rafa? Weron

2014-01-01T23:59:59.000Z

55

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 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 housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type

56

RACORO Forecasting  

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

Daniel Hartsock CIMMS, University of Oklahoma ARM AAF Wiki page Weather Briefings Observed Weather Cloud forecasting models BUFKIT forecast soundings + guidance...

57

Residential Buildings  

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

Apartment building exterior and interior Apartment building exterior and interior Residential Buildings EETD's research in residential buildings addresses problems associated with whole-building integration involving modeling, measurement, design, and operation. Areas of research include the movement of air and associated penalties involving distribution of pollutants, energy and fresh air. Contacts Max Sherman MHSherman@lbl.gov (510) 486-4022 Iain Walker ISWalker@lbl.gov (510) 486-4692 Links Residential Building Systems Group Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings Cool Roofs and Heat Islands Demand Response Energy Efficiency Program and Market Trends High Technology and Industrial Systems Lighting Systems Residential Buildings Simulation Tools Sustainable Federal Operations

58

Future Air Conditioning Energy Consumption in Developing Countries and what can be done about it: The Potential of Efficiency in the Residential Sector  

E-Print Network (OSTI)

2004) Survey on Electricity Consumption Characteristics ofof residential electricity consumption in rapidly developingbusiness as usual’ electricity consumption by country/region

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

59

EIA - The National Energy Modeling System: An Overview 2003-Residential  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The National Energy Modeling System: An Overview 2003 Residential Demand Module Figure 5. Residential Demand Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Residential Demand Module Table. Need help, contact the National Energy Information Center at 202-586-8800. NEMS Residential Module Equipment Summary Table. Need help, contact the National Energy Information Center at 202-586-8800. Characteristics of Selected Equipment Table. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from

60

The National Energy Modeling System: An Overview 1998 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

RESIDENTIAL DEMAND MODULE RESIDENTIAL DEMAND MODULE blueball.gif (205 bytes) Housing Stock Submodule blueball.gif (205 bytes) Appliance Stock Submodule blueball.gif (205 bytes) Technology Choice Submodule blueball.gif (205 bytes) Shell Integrity Submodule blueball.gif (205 bytes) Fuel Consumption Submodule The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar thermal and geothermal energy. The RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of the RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts,

Note: This page contains sample records for the topic "forecasts future residential" 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

Market penetration: How to predict the future  

SciTech Connect

One of the biggest challenges in evaluating energy efficiency programs if predicting how customers will react to future changes in incentives and technology. This is especially true within a competitive energy market. This paper presents a market penetration model based on states preference experiments that is designed to address this issue. This model can be used to predict customer purchases under alternative market conditions such as changes in technology, program rebates, and program qualifying equipment. The states preference experiments elicit ratings from residential customers on program and equipment attributes such as price, rebate, and annual energy savings. The data were collected and the model estimated using information from Florida Power and Light's Residential HVAC Program. Once the data are gathered, a logic model is estimated to determine the probability that each program and equipment option is chosen. The model is calibrated to actual customer purchases and then used to predict future equipment purchases and program participation. When values for very high efficiency equipment are included in the experiment, the model can be used to forecast future purchases even when purchases of these units are not currently widespread. This market penetration model provides a method to forecast equipment purchases, while taking into account future changes in technology, and, as a result, will be valuable to any utility seeking to continue energy efficiency programs in a competitive market.

Grover, S.; Ikenze-Bates, I.

1998-07-01T23:59:59.000Z

62

Residential Buildings  

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

Exterior and interior of apartment building Exterior and interior of apartment building Residential Buildings The study of ventilation in residential buildings is aimed at understanding the role that air leakage, infiltration, mechanical ventilation, natural ventilation and building use have on providing acceptable indoor air quality so that energy and related costs can be minimized without negatively impacting indoor air quality. Risks to human health and safety caused by inappropriate changes to ventilation and air tightness can be a major barrier to achieving high performance buildings and must be considered.This research area focuses primarily on residential and other small buildings where the interaction of the envelope is important and energy costs are dominated by space conditioning energy rather than air

63

A study of Shanghai fuel oil futures price volatility based on high frequency data: Long-range dependence, modeling and forecasting  

Science Journals Connector (OSTI)

In existing researches, the investigations of oil price volatility are always performed based on daily data and squared daily return is always taken as the proxy of actual volatility. However, it is widely accepted that the popular realized volatility (RV) based on high frequency data is a more robust measure of actual volatility than squared return. Due to this motivation, we investigate dynamics of daily volatility of Shanghai fuel oil futures prices employing 5-minute high frequency data. First, using a nonparametric method, we find that RV displays strong long-range dependence and recent financial crisis can cause a lower degree of long-range dependence. Second, we model daily volatility using RV models and GARCH-class models. Our results indicate that RV models for intraday data overwhelmingly outperform GARCH-class models for daily data in forecasting fuel oil price volatility, regardless the proxy of actual volatility. Finally, we investigate the major source of such volatile prices and found that trader activity has major contribution to fierce variations of fuel oil prices.

Li Liu; Jieqiu Wan

2012-01-01T23:59:59.000Z

64

Residential Marketing Toolkit  

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

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

65

Evaluation of evolving residential electricity tariffs  

SciTech Connect

Residential customers in California's Pacific Gas and Electric (PG&E) territory have seen several electricity rate structure changes in the past decade. This poster: examines the history of the residential pricing structure and key milestones; summarizes and analyzes the usage between 2006 and 2009 for different baseline/climate areas; discusses the residential electricity Smart Meter roll out; and compares sample bills for customers in two climates under the current pricing structure and also the future time of use (TOU) structure.

Lai, Judy; DeForest, Nicholas; Kiliccote, Sila; Stadler, Michael; Marnay, Chris; Donadee, Jon

2011-05-15T23:59:59.000Z

66

Chapter 6, Residential Lighting Evaluation Protocol: The Uniform...  

Office of Environmental Management (EM)

STAR lighting fixtures. More recently, programs are introducing solid-state light-emitting diode (LED) lamps. The future of savings claims from residential lighting programs is...

67

Residential Solar Valuation Rates  

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

Residential Solar Valuation Rates Karl R. Rbago Rbago Energy LLC 1 The Ideal Residential Solar Tariff Fair to the utility and non-solar customers Fair compensation to...

68

Forecasting Energy Demand Using Fuzzy Seasonal Time Series  

Science Journals Connector (OSTI)

Demand side energy management has become an important issue for energy management. In order to support energy planning and policy decisions forecasting the future demand is very important. Thus, forecasting the f...

?Irem Uçal Sar?; Ba¸sar Öztay¸si

2012-01-01T23:59:59.000Z

69

Residential Buildings Integration Program  

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

Residential Buildings Integration Program Presentation for the 2013 Building Technologies Office's Program Peer Review

70

Austin Energy - Value of Solar Residential Rate (Texas) | Department of  

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

Austin Energy - Value of Solar Residential Rate (Texas) Austin Energy - Value of Solar Residential Rate (Texas) Austin Energy - Value of Solar Residential Rate (Texas) < Back Eligibility Residential Savings Category Solar Buying & Making Electricity Program Info Start Date 10/01/2012 State Texas Austin Energy, the municipal utility of Austin Texas, offers the Value of Solar rate for residential solar photovoltaic (PV) systems. The Value of Solar tariff, designed by Austin Energy and approved by Austin City Council in June 2012, will be available for all past, present and future residential solar customers beginning October 1, 2012. This tariff replaces net billing for residential solar PV systems no larger than 20 kilowatts (kW). Under this new tariff, residential customers will be credited monthly for their solar generation based on the Value of Solar energy generated from

71

Annual Energy Outlook 2001 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Economic Growth World Oil Prices Total Energy Consumption Residential and Commercial Sectors Industrial Sector Transportation Sector Electricity Natural Gas Petroleum Coal Three other organizations—Standard & Poor’s DRI (DRI), the WEFA Group (WEFA), and the Gas Research Institute (GRI) [95]—also produce comprehensive energy projections with a time horizon similar to that of AEO2001. The most recent projections from those organizations (DRI, Spring/Summer 2000; WEFA, 1st Quarter 2000; GRI, January 2000), as well as other forecasts that concentrate on petroleum, natural gas, and international oil markets, are compared here with the AEO2001 projections. Economic Growth Differences in long-run economic forecasts can be traced primarily to

72

Residential | OpenEI  

Open Energy Info (EERE)

Residential Residential Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

73

Residential propane prices decreases  

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

5, 2014 Residential propane prices decreases The average retail price for propane fell to 3.89 per gallon, that's down 11.9 cents from a week ago, based on the residential heating...

74

Residential propane price decreases  

Gasoline and Diesel Fuel Update (EIA)

6, 2014 Residential propane price decreases The average retail price for propane fell to 3.48 per gallon, down 15.9 cents from a week ago, based on the residential heating fuel...

75

Residential propane prices surges  

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

9, 2014 Residential propane price decreases The average retail price for propane fell to 3.08 per gallon, down 8.6 cents from a week ago, based on the residential heating fuel...

76

Residential propane price decreases  

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

05, 2014 Residential propane price decreases The average retail price for propane fell to 2.40 per gallon, down 1.2 cents from a week ago, based on the residential heating fuel...

77

Residential propane prices surges  

Gasoline and Diesel Fuel Update (EIA)

2, 2014 Residential propane price decreases The average retail price for propane fell to 3.17 per gallon, down 13.1 cents from a week ago, based on the residential heating fuel...

78

Residential propane prices surges  

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

5, 2014 Residential propane price decreases The average retail price for propane fell to 3.30 per gallon, down 17.5 cents from a week ago, based on the residential heating fuel...

79

Better Buildings Residential  

Office of Energy Efficiency and Renewable Energy (EERE)

The U.S. Department of Energy's (DOE's) Better Buildings Residential programs  work with residential energy efficiency programs and their partners to improve homeowners' lives, the economy, and the...

80

Review of Residential Ventilation Technologies.  

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

Review of Residential Ventilation Technologies. Review of Residential Ventilation Technologies. Title Review of Residential Ventilation Technologies. Publication Type Journal Article LBNL Report Number LBNL-57730 Year of Publication 2007 Authors Russell, Marion L., Max H. Sherman, and Armin F. Rudd Journal HVAC&R Research Volume 13 Start Page Chapter Pagination 325-348 Abstract This paper reviews current and potential ventilation technologies for residential buildings in North America and a few in Europe. The major technologies reviewed include a variety of mechanical systems, natural ventilation, and passive ventilation. Key parameters that are related to each system include operating costs, installation costs, ventilation rates, heat recovery potential. It also examines related issues such as infiltration, duct systems, filtration options, noise, and construction issues. This report describes a wide variety of systems currently on the market that can be used to meet ASHRAE Standard 62.2. While these systems generally fall into the categories of supply, exhaust or balanced, the specifics of each system are driven by concerns that extend beyond those in the standard and are discussed. Some of these systems go beyond the current standard by providing additional features (such as air distribution or pressurization control). The market will decide the immediate value of such features, but ASHRAE may wish to consider modifications to the standard in the future.

Note: This page contains sample records for the topic "forecasts future residential" 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

Distillate Fuel Oil Sales for Residential Use  

Annual Energy Outlook 2012 (EIA)

End Use Product: Residential - Distillate Fuel Oil Residential - No. 1 Residential - No. 2 Residential - Kerosene Commercial - Distillate Fuel Oil Commercial - No. 1 Distillate...

82

Forecasting the Market Penetration of Energy Conservation Technologies: The Decision Criteria for Choosing a Forecasting Model  

E-Print Network (OSTI)

An important determinant of our energy future is the rate at which energy conservation technologies, once developed, are put into use. At Synergic Resources Corporation, we have adapted and applied a methodology to forecast the use of conservation...

Lang, K.

1982-01-01T23:59:59.000Z

83

Building Technologies Office: Residential Buildings  

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

Residential Buildings Residential Buildings to someone by E-mail Share Building Technologies Office: Residential Buildings on Facebook Tweet about Building Technologies Office: Residential Buildings on Twitter Bookmark Building Technologies Office: Residential Buildings on Google Bookmark Building Technologies Office: Residential Buildings on Delicious Rank Building Technologies Office: Residential Buildings on Digg Find More places to share Building Technologies Office: Residential Buildings on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links Success Stories Previous Next Warming Up to Pump Heat. Lighten Energy Loads with System Design. Cut Refrigerator Energy Use to Save Money. Tools EnergyPlus Whole Building Simulation Program

84

Mercury emissions from municipal solid waste combustors. An assessment of the current situation in the United States and forecast of future emissions  

SciTech Connect

This report examines emissions of mercury (Hg) from municipal solid waste (MSW) combustion in the United States (US). It is projected that total annual nationwide MSW combustor emissions of mercury could decrease from about 97 tonnes (1989 baseline uncontrolled emissions) to less than about 4 tonnes in the year 2000. This represents approximately a 95 percent reduction in the amount of mercury emitted from combusted MSW compared to the 1989 mercury emissions baseline. The likelihood that routinely achievable mercury emissions removal efficiencies of about 80 percent or more can be assured; it is estimated that MSW combustors in the US could prove to be a comparatively minor source of mercury emissions after about 1995. This forecast assumes that diligent measures to control mercury emissions, such as via use of supplemental control technologies (e.g., carbon adsorption), are generally employed at that time. However, no present consensus was found that such emissions control measures can be implemented industry-wide in the US within this time frame. Although the availability of technology is apparently not a limiting factor, practical implementation of necessary control technology may be limited by administrative constraints and other considerations (e.g., planning, budgeting, regulatory compliance requirements, etc.). These projections assume that: (a) about 80 percent mercury emissions reduction control efficiency is achieved with air pollution control equipment likely to be employed by that time; (b) most cylinder-shaped mercury-zinc (CSMZ) batteries used in hospital applications can be prevented from being disposed into the MSW stream or are replaced with alternative batteries that do not contain mercury; and (c) either the amount of mercury used in fluorescent lamps is decreased to an industry-wide average of about 27 milligrams of mercury per lamp or extensive diversion from the MSW stream of fluorescent lamps that contain mercury is accomplished.

none,

1993-05-01T23:59:59.000Z

85

OpenEI - Residential  

Open Energy Info (EERE)

Commercial and Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States http://en.openei.org/datasets/node/961 This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols).  This dataset also includes the residential/">Residential Energy Consumption Survey (RECS) for statistical references of building types

86

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,

87

Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings  

E-Print Network (OSTI)

plausible future penetration rates for residential PVefficiencies and penetration rates. A subset of outputs areof localized high penetration rates, but the lack of a sound

Garbesi, Karina

2012-01-01T23:59:59.000Z

88

Residential Retrofit Program Design Guide  

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

This Residential Retrofit Program Design Guide focuses on the key elements and design characteristics of building and maintaining a successful residential retrofit program.

89

NREL: Buildings Research - Residential Capabilities  

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

Residential Capabilities Photo showing a row of homes in the distance. The NREL Residential Buildings group is an innovative, multidisciplinary team focused on accelerating the...

90

Residential Humidity Control Strategies  

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

Residential Humidity Control Strategies Residential Humidity Control Strategies Armin Rudd Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas 2 Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas Humidity control goals  Comfort, and Indoor Air Quality  Control indoor humidity year-around, just like we do temperature  Durability and customer satisfaction  Reduce builder risk and warranty/service costs 2 3 Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas Humidity control challenges 1. In humid cooling climates, there will always be times of the year when there is little sensible cooling load to create thermostat demand but humidity remains high * Cooling systems that modify fan speed and temperature set point based on humidity can help but are still limited

91

Residential Retrofit Program Design Guide  

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

Technical Assistance Program Technical Assistance Program Residential Retrofit Program Design Guide May 2011 This work has been performed by the Vermont Energy Investment Corporation (VEIC) and Energy Futures Group (EFG), under the Contract No. 4200000341 with Oak Ridge National Laboratory which is managed by UT-Battelle, LLC under Contract with the US Department of Energy No. DE-AC05-00OR22725. This document was prepared in collaboration with a partnership of companies under this contract. The partnership is led by the Vermont Energy Investment Corporation (VEIC), and includes the following companies: American Council for an Energy Efficient Economy (ACEEE), Energy Futures Group (EFG), Midwest Energy Efficiency Alliance (MEEA), Northwest Energy Efficiency Alliance (NEEA), Northeast Energy Efficiency Partnership (NEEP), Natural

92

Fact Sheet- Better Buildings Residential  

Office of Energy Efficiency and Renewable Energy (EERE)

Fact Sheet - Better Buildings Residential, from U.S. Department of Energy, Better Buildings Neighborhood Program.

93

Residential | Open Energy Information  

Open Energy Info (EERE)

Residential Residential Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data From AEO2011 report . Market Trends In the AEO2011 Reference case, residential energy use per capita declines by 17.0 percent from 2009 to 2035 (Figure 58). Delivered energy use stays relatively constant while population grows by 26.7 percent during the period. Growth in the number of homes and in average square footage leads to increased demand for energy services, which is offset in part by efficiency gains in space heating, water heating, and lighting equipment. Population shifts to warmer and drier climates also reduce energy demand for space heating.[1] Issues in Focus In 2009, the residential and commercial buildings sectors used 19.6 quadrillion Btu of delivered energy, or 21 percent of total U.S. energy

94

Residential propane price  

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

propane price decrease The average retail price for propane is 2.37 per gallon, down 1.3 cents from last week, based on the residential heating fuel survey by the U.S. Energy...

95

Residential propane price  

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

propane price decreases The average retail price for propane is 2.35 per gallon, down 1.1 cents from last week, based on the residential heating fuel survey by the U.S. Energy...

96

Residential propane price  

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

propane price decreases The average retail price for propane is 2.36 per gallon, down 1 cent from last week, based on the residential heating fuel survey by the U.S. Energy...

97

Residential propane prices increase  

Annual Energy Outlook 2012 (EIA)

propane prices increase The average retail price for propane rose 3.2 cents from a week ago to 2.86 per gallon. That's up 59.3 cents from a year ago, based on the residential...

98

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 10.3 cents from a week ago to 2.96 per gallon. That's up 68.1 cents from a year ago, based on the residential...

99

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 3.9 cents from a week ago to 2.80 per gallon. That's up 53.7 cents from a year ago, based on the residential...

100

Residential propane prices increase  

Annual Energy Outlook 2012 (EIA)

propane prices increase The average retail price for propane rose 5.5 cents per gallon from last week to 2.62 per gallon; up 37.4 cents from a year ago, based on the residential...

Note: This page contains sample records for the topic "forecasts future residential" 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

Residential propane prices surges  

Gasoline and Diesel Fuel Update (EIA)

propane prices surges The average retail price for propane rose to an all-time high of 4.01 a gallon, that's up 1.05 from a week ago, based on the residential heating fuel survey...

102

Residential propane price increases  

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

propane price increases The average retail price for propane is 2.41 per gallon, up 6-tenths of a cent from last week, based on the residential heating fuel survey by the U.S....

103

Residential propane prices stable  

Gasoline and Diesel Fuel Update (EIA)

propane price decreases The average retail price for propane is 2.40 per gallon, down 9-tenths of a cent from last week, based on the residential heating fuel survey by the U.S....

104

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 4.8 cents from a week ago to 2.76 per gallon. That's up 51.2 cents from a year ago, based on the residential...

105

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 2.5 cents from a week ago to 2.83 per gallon. That's up 56 cents from a year ago, based on the residential...

106

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose to 2.40 per gallon, up 1.1 cents from a week ago, based on the residential heating fuel survey by the U.S. Energy...

107

Residential propane prices increase  

Annual Energy Outlook 2012 (EIA)

propane prices increase The average retail price for propane rose 2.3 cents per gallon from last week to 2.57 per gallon; up 32.2 cents from a year ago, based on the residential...

108

Residential propane prices available  

Annual Energy Outlook 2012 (EIA)

propane prices available The average retail price for propane is 2.30 per gallon, based on the U.S. Energy Information Administration's weekly residential heating fuel survey....

109

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 9.1 cents from a week ago to 2.71 per gallon. That's up 46.9 cents from a year ago, based on the residential...

110

Residential Energy Disclosure (Hawaii)  

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

A residential property owner is required to disclose electricity costs for the most recent three-month period in which the property was occupied as a condition of selling it. No proof or copies of...

111

Annual Energy Outlook Forecast Evaluation 2005  

Gasoline and Diesel Fuel Update (EIA)

Forecast Evaluation 2005 Forecast Evaluation 2005 Annual Energy Outlook Forecast Evaluation 2005 Annual Energy Outlook Forecast Evaluation 2005 * Then Energy Information Administration (EIA) produces projections of energy supply and demand each year in the Annual Energy Outlook (AEO). The projections in the AEO are not statements of what will happen but of what might happen, given the assumptions and methodologies used. The projections are business-as-usual trend projections, given known technology, technological and demographic trends, and current laws and regulations. Thus, they provide a policy-neutral reference case that can be used to analyze policy initiatives. EIA does not propose or advocate future legislative and regulatory changes. All laws are assumed to remain as currently enacted; however, the impacts of emerging regulatory changes, when defined, are reflected.

112

Short term forecasting of solar radiation based on satellite data  

E-Print Network (OSTI)

Short term forecasting of solar radiation based on satellite data Elke Lorenz, Annette Hammer University, D-26111 Oldenburg Forecasting of solar irradiance will become a major issue in the future integration of solar energy resources into existing energy supply structures. Fluctuations of solar irradiance

Heinemann, Detlev

113

Residential Retrofit Program Design Guide Overview Transcript...  

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

Residential Retrofit Program Design Guide Overview Transcript.doc Residential Retrofit Program Design Guide Overview Transcript.doc Residential Retrofit Program Design Guide...

114

Fact Sheet: Better Buildings Residential Network | Department...  

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

Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network, increasing the number of...

115

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 3 AUGUST 16, 2012  

E-Print Network (OSTI)

there is significant uncertainty in its future intensity, the current forecast is for a slowly strengthening TC which, 3) forecast output from global models, 4) the current and projected state of the Madden with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all

Gray, William

116

About Residential | Department of Energy  

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

Residential Buildings » About Residential Residential Buildings » About Residential About Residential The Building Technologies Office (BTO) collaborates with home builders, energy professionals, state and local governments, utilities, product manufacturers, educators, and researchers to improve the energy efficiency of both new and existing homes. Residential Sector Activities Include: Demonstrating to builders and remodelers how to build and renovate for high performance through best practice guides and case studies and continuing to developing innovative whole-house energy efficiency solutions through Building America research projects. We also provide guidelines and tools for researchers conducting building related research projects. Promoting a trusted, whole-house process for upgrading existing homes with

117

Adaptive sampling and forecasting with mobile sensor networks  

E-Print Network (OSTI)

This thesis addresses planning of mobile sensor networks to extract the best information possible out of the environment to improve the (ensemble) forecast at some verification region in the future. To define the information ...

Choi, Han-Lim

2009-01-01T23:59:59.000Z

118

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting  

E-Print Network (OSTI)

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting Seasonal Prediction · POAMA · Issues for future Outline #12;Pacific Adaptation Strategy Assistance Program Major source Adaptation Strategy Assistance Program El Nino Mean State · Easterlies westward surface current upwelling

Lim, Eun-pa

119

Jasper County REMC - Residential Residential Energy Efficiency Rebate  

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

Jasper County REMC - Residential Residential Energy Efficiency Jasper County REMC - Residential Residential Energy Efficiency Rebate Program Jasper County REMC - Residential Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Indiana Program Type Utility Rebate Program Rebate Amount Refrigerator Recycling: $35 Heat Pump Water Heater: $400 Air-Source Heat Pumps: $250 - $1,500/unit (Power Moves rebate), $200 (REMC Bill Credit) Dual Fuel Heat Pumps: $1,500/unit Geothermal Heat Pumps: $1,500/unit (Power Moves rebate), $500 (REMC Bill Credit) Provider Jasper County REMC Jasper County REMC, in conjunction with Wabash Valley Power Association's Power Moves programs, offers a range of rebates to its residential

120

Residential Building Code Compliance  

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

6 6 Residential Building Code Compliance: Recent Findings and Implications Energy use in residential buildings in the U.S. is significant-about 20% of primary energy use. While several approaches reduce energy use such as appliance standards and utility programs, enforcing state building energy codes is one of the most promising. However, one of the challenges is to understand the rate of compliance within the building community. Utility companies typically use these codes as the baseline for providing incentives to builders participating in utility-sponsored residential new construction (RNC) programs. However, because builders may construct homes that fail to meet energy codes, energy use in the actual baseline is higher than would be expected if all buildings complied with the code. Also,

Note: This page contains sample records for the topic "forecasts future residential" 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

Progress in Residential Retrofit  

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

The Cutting Edge: Progress in Residential Retrofit The Cutting Edge: Progress in Residential Retrofit A geographic representation of saturations of ceiling fans based on data from the RASSes. White areas indicate a lack of data for that region. Many utilities survey their customers to learn more about the buildings and the occupants in their service areas. These surveys-usually called "residential appliance saturation surveys," or RASSes-ask for the number and types of appliances present, the number of people living in the home, and sometimes personal information. The RASSes are also used to collect information about the presence of conservation measures such as wall and ceiling insulation, weatherstripping, multipane windows, and water flow restrictors. Building Energy Analysis Group researchers Alan Meier and Brian Pon gathered RASSes

122

Building Technologies Residential Survey  

SciTech Connect

Introduction A telephone survey of 1,025 residential occupants was administered in late October for the Building Technologies Program (BT) to gather information on residential occupant attitudes, behaviors, knowledge, and perceptions. The next section, Survey Results, provides an overview of the responses, with major implications and caveats. Additional information is provided in three appendices as follows: - Appendix A -- Summary Response: Provides summary tabular data for the 13 questions that, with subparts, comprise a total of 25 questions. - Appendix B -- Benchmark Data: Provides a benchmark by six categories to the 2001 Residential Energy Consumption Survey administered by EIA. These were ownership, heating fuel, geographic location, race, household size and income. - Appendix C -- Background on Survey Method: Provides the reader with an understanding of the survey process and interpretation of the results.

Secrest, Thomas J.

2005-11-07T23:59:59.000Z

123

Wind Power Forecasting  

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

Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email List Self Supplied Balancing Reserves Dynamic...

124

Solar forecasting review  

E-Print Network (OSTI)

2.1.2 European Solar Radiation Atlas (ESRA)2.4 Evaluation of Solar Forecasting . . . . . . . . .2.4.1 Solar Variability . . . . . . . . . . . . .

Inman, Richard Headen

2012-01-01T23:59:59.000Z

125

Wind Power Forecasting  

Science Journals Connector (OSTI)

The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble...

Sue Ellen Haupt; William P. Mahoney; Keith Parks

2014-01-01T23:59:59.000Z

126

Energy Demand Forecasting  

Science Journals Connector (OSTI)

This chapter presents alternative approaches used in forecasting energy demand and discusses their pros and cons. It... Chaps. 3 and 4 ...

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

127

Residential Buildings Integration Program  

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

David Lee David Lee Program Manager David.Lee@ee.doe.gov 202-287-1785 April 2, 2013 Residential Buildings Integration Program Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Sub-Programs for Review Better Buildings Neighborhood Program Building America Challenge Home Home Energy Score Home Performance with ENERGY STAR Solar Decathlon 3 | Building Technologies Office eere.energy.gov How Residential Buildings Fits into BTO Research & Development * Develop technology roadmaps * Prioritize opportunities * Solicit and select innovative technology solutions * Collaborate with researchers

128

Measuring Residential Ventilation  

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

Measuring Residential Ventilation Measuring Residential Ventilation System Airflows: Part 2 - Field Evaluation of Airflow Meter Devices and System Flow Verification J. Chris Stratton, Iain S. Walker, Craig P. Wray Environmental Energy Technologies Division October 2012 LBNL-5982E 2 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor the Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any

129

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

130

Residential Buildings Integration Program  

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

David Lee David Lee Program Manager David.Lee@ee.doe.gov 202-287-1785 April 2, 2013 Residential Buildings Integration Program Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Sub-Programs for Review Better Buildings Neighborhood Program Building America Challenge Home Home Energy Score Home Performance with ENERGY STAR Solar Decathlon 3 | Building Technologies Office eere.energy.gov How Residential Buildings Fits into BTO Research & Development * Develop technology roadmaps * Prioritize opportunities * Solicit and select innovative technology solutions * Collaborate with researchers

131

Average Residential Price  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

132

Residential propane price is unchanged  

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

13, 2014 Residential propane price is unchanged The average retail price for propane is 2.40 per gallon, down one-tenth of a cent from last week, based on the residential heating...

133

Solar Photovoltaic Financing: Residential Sector Deployment ...  

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

Solar Photovoltaic Financing: Residential Sector Deployment Solar Photovoltaic Financing: Residential Sector Deployment This report presents the information that homeowners and...

134

Estimating the Market Penetration of Residential Cool Storage Technology Using Economic Cost Modeling  

E-Print Network (OSTI)

of the Census, Washington, D.C., 1987. 8. Raju, P. S., and Teotia, A. P. S., An Evalu- ation of Market Penetration Forecasting Method- ologies for New Residential and Commercial Energy Technologies, Argonne National Laboratory, Argonne, IlXnois, 1985. 9...

Weijo, R. O.; and Brown, D. R.

1988-01-01T23:59:59.000Z

135

Improving Inventory Control Using Forecasting  

E-Print Network (OSTI)

This project studied and analyzed Electronic Controls, Inc.’s forecasting process for three high-demand products. In addition, alternative forecasting methods were developed to compare to the current forecast method. The ...

Balandran, Juan

2005-12-16T23:59:59.000Z

136

Negotiating future climates for public policy: a critical assessment of the development of  

E-Print Network (OSTI)

) or of seasonal forecasting (a few months): Earth system models aim to simulate future climatic evolution over

Hulme, Mike

137

STORM WATER Residential  

E-Print Network (OSTI)

STORM WATER QUALITY HOTLINE UCSC Residential Car Washing http THAT MAY CAUSE ENVIRONMENTAL HARM TO THE STORM WATER QUALITY HOTLINE: (831) 459-2553. LIKE US ON FACEBOOK AT UCSC STORM WATER MANAGEMENT PROGRAM! DID YOU KNOW? PRACTICAL SOLUTIONS > USE A COMMERCIAL CAR WASH

California at Santa Cruz, University of

138

Residential Mechanical Precooling  

SciTech Connect

This research conducted by the Alliance for Residential Building Innovation team evaluated mechanical air conditioner pre-cooling strategies in homes throughout the United States. EnergyPlus modeling evaluated two homes with different performance characteristics in seven climates. Results are applicable to new construction homes and most existing homes built in the last 10 years, as well as fairly efficient retrofitted homes.

German, A.; Hoeschele, M.

2014-12-01T23:59:59.000Z

139

Technology Forecasting Scenario Development  

E-Print Network (OSTI)

Technology Forecasting and Scenario Development Newsletter No. 2 October 1998 Systems Analysis was initiated on the establishment of a new research programme entitled Technology Forecasting and Scenario and commercial applica- tion of new technology. An international Scientific Advisory Panel has been set up

140

CAPP 2010 Forecast.indd  

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

Forecast, Markets & Pipelines 1 Crude Oil Forecast, Markets & Pipelines June 2010 2 CANADIAN ASSOCIATION OF PETROLEUM PRODUCERS Disclaimer: This publication was prepared by the...

Note: This page contains sample records for the topic "forecasts future residential" 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 - 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.

142

Average Residential Price  

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

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

143

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

144

Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

This chart highlights residential heating oil prices for the current and This chart highlights residential heating oil prices for the current and past heating season. As you can see, prices have started the heating season, about 40 to 50 cents per gallon higher than last year at this time. The data presented are from EIA's State Heating Oil and Propane Program. We normally collect and publish this data twice a month, but given the low stocks and high prices, we started tracking the prices weekly. These data will also be used to determine the price trigger mechanism for the Northeast Heating Oil Reserve. The data are published at a State and regional level on our web site. The slide is to give you some perspective of what is happening in these markets, since you probably will get a number of calls from local residents about their heating fuels bills

145

Detailed residential electric determination  

SciTech Connect

Data on residential loads has been collected from four residences in real time. The data, measured at 5-second intervals for 53 days of continuous operation, were statistically characterized. An algorithm was developed and incorporated into the modeling code SOLCEL. Performance simulations with SOLCEL using these data as well as previous data collected over longer time intervals indicate that no significant errors in system value are introduced through the use of long-term average data.

Not Available

1984-06-01T23:59:59.000Z

146

Valuing Climate Forecast Information  

Science Journals Connector (OSTI)

The article describes research opportunities associated with evaluating the characteristics of climate forecasts in settings where sequential decisions are made. Illustrative results are provided for corn production in east central Illinois. ...

Steven T. Sonka; James W. Mjelde; Peter J. Lamb; Steven E. Hollinger; Bruce L. Dixon

1987-09-01T23:59:59.000Z

147

Comparing Forecast Skill  

Science Journals Connector (OSTI)

A basic question in forecasting is whether one prediction system is more skillful than another. Some commonly used statistical significance tests cannot answer this question correctly if the skills are computed on a common period or using a common ...

Timothy DelSole; Michael K. Tippett

2014-12-01T23:59:59.000Z

148

Short-Term Energy Outlook Supplement: Summer 2013 Outlook for Residential Electric Bills  

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

Summer 2013 Outlook for Residential Summer 2013 Outlook for Residential Electric Bills June 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | STEO Supplement: Summer 2013 Outlook for Residential Electric Bills i 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. June 2013 U.S. Energy Information Administration | STEO Supplement: Summer 2013 Outlook for Residential Electric Bills 1

149

Building Technologies Office: About Residential Building Programs  

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

About Residential About Residential Building Programs to someone by E-mail Share Building Technologies Office: About Residential Building Programs on Facebook Tweet about Building Technologies Office: About Residential Building Programs on Twitter Bookmark Building Technologies Office: About Residential Building Programs on Google Bookmark Building Technologies Office: About Residential Building Programs on Delicious Rank Building Technologies Office: About Residential Building Programs on Digg Find More places to share Building Technologies Office: About Residential Building Programs on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links Success Stories Previous Next Warming Up to Pump Heat.

150

Commissioning Residential Ventilation Systems: A Combined Assessment of  

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

Commissioning Residential Ventilation Systems: A Combined Assessment of Commissioning Residential Ventilation Systems: A Combined Assessment of Energy and Air Quality Potential Values Title Commissioning Residential Ventilation Systems: A Combined Assessment of Energy and Air Quality Potential Values Publication Type Report LBNL Report Number LBNL-5969E Year of Publication 2012 Authors Turner, William J. N., Jennifer M. Logue, and Craig P. Wray Date Published 07/2012 Keywords commissioning, energy, health, indoor air quality, residential, valuation, ventilation Abstract Due to changes in building codes, whole-house mechanical ventilation systems are being installed in new California homes. Few measurements are available, but the limited data suggest that these systems don't always perform as code and forecasts predict. Such deficiencies occur because systems are usually field assembled without design specifications, and there is no consistent process to identify and correct problems. The value of such activities in terms of reducing energy use and improving indoor air quality (IAQ) is poorly understood. Commissioning such systems when they are installed or during subsequent building retrofits is a step towards eliminating deficiencies and optimizing the tradeoff between energy use and IAQ.

151

Residential commissioning to assess envelope and HVAC system performance  

SciTech Connect

Houses do not perform optimally or even as many codes and forecasts predict. For example, Walker et al. (1998a) found large variations in thermal distribution system efficiency, as much as a factor of two even between side-by-side houses with the same system design and installation crew. This and other studies (e.g., Jump et al. 1996) indicate that duct leakage testing and sealing can readily achieve a 25 to 30% reduction in installed cooling capacity and energy consumption. As another example, consider that the building industry has recognized for at least 20 years the substantial impact that envelope airtightness has on thermal loads, energy use, comfort, and indoor air quality. However, Walker et al. (1998a) found 50% variances in airtightness for houses with the same design and construction crews, within the same subdivision. A substantial reason for these problems is that few houses are now built or retrofitted using formal design procedures, most are field assembled from a large number of components, and there is no consistent process to identify problems or to correct them. Solving the problems requires field performance evaluations of houses using appropriate and agreed upon procedures. Many procedural elements already exist in a fragmented environment; some are ready now to be integrated into a new process called residential commissioning (Wray et al. 2000). For example, California's Title 24 energy code already provides some commissioning elements for evaluating the energy performance of new houses. A house consists of components and systems that need to be commissioned, such as building envelopes, air distribution systems, cooling equipment, heat pumps, combustion appliances, controls, and other electrical appliances. For simplicity and practicality, these components and systems are usually evaluated individually, but we need to bear in mind that many of them interact. Therefore, commissioning must not only identify the energy and non-energy benefits associated with improving the performance of a component, it must also indicate how individual components interact in the complete building system. For this paper, we limit our discussion to diagnostics in areas of particular concern with significant interactions: envelope and HVAC systems. These areas include insulation quality, windows, airtightness, envelope moisture, fan and duct system airflows, duct leakage, cooling equipment charge, and combustion appliance backdrafting with spillage. The remainder of this paper first describes what residential commissioning is, its characteristic elements, and how one might structure its process. Subsequent sections describe a consolidated set of practical diagnostics that the building industry can use now. Where possible, we also discuss the accuracy and usability of these diagnostics, based on recent laboratory work and field studies. We conclude by describing areas in need of research and development, such as practical field diagnostics for envelope thermal conductance and combustion safety. There are several potential benefits for builders, consumers, code officials, utilities, and energy planners of commissioning houses using a consistent set of validated methods. Builders and/or commissioning agents will be able to optimize system performance and reduce consumer costs associated with building energy use. Consumers will be more likely to get what they paid for and builders can show they delivered what was expected. Code officials will be better able to enforce existing and future energy codes. As energy reduction measures are more effectively incorporated into the housing stock, utilities and energy planners will benefit through greater confidence in predicting demand and greater assurance that demand reductions will actually occur. Performance improvements will also reduce emissions from electricity generating plants and residential combustion equipment. Research to characterize these benefits is underway.

Wray, Craig P.; Sherman, Max H.

2001-08-31T23:59:59.000Z

152

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Contacts Contacts The International Energy Outlook is prepared by the Energy Information Administration (EIA). General questions concerning the contents of the report should be referred to John J. Conti (john.conti@eia.doe.gov, 202-586-2222), Director, Office of Integrated Analysis and Forecasting. Specific questions about the report should be referred to Linda E. Doman (202/586-1041) or the following analysts: World Energy and Economic Outlook Linda Doman (linda.doman@eia.doe.gov, 202-586-1041) Macroeconomic Assumptions Nasir Khilji (nasir.khilji@eia.doe.gov, 202-586-1294) Energy Consumption by End-Use Sector Residential Energy Use John Cymbalsky (john.cymbalsky@eia.doe.gov, 202-586-4815) Commercial Energy Use Erin Boedecker (erin.boedecker@eia.doe.gov, 202-586-4791)

153

Residential appliances technology atlas  

SciTech Connect

Residential appliance technology and efficiency opportunities for refrigerators and freezers, cooking appliances, clothes washers and dryers, dishwashers, and some often-ignored household devices such as spas, pool pumps, waterbed heaters, televisions, and home computers are thoroughly covered in this Atlas. The US appliance market, fuel shares, efficiency standards, labeling, and advances in home automation, design for recycling, and CFC issues are also discussed. The resource section contains lists of appliance manufacturers and distributors, and trade, professional, and governmental organizations, a summary of key resources for further information, and an index.

NONE

1994-12-31T23:59:59.000Z

154

Residential Building Integration Program Overview- 2014 BTO Peer Review  

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

Presenter: David Lee, U.S. Department of Energy This presentation at the 2014 Peer Review provided an overview of the Building Technologies Office's Residential Building Integration Program. Through robust feedback, the BTO Program Peer Review enhances existing efforts and improves future designs.

155

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect

We validated one year of Global Forecast System (GFS) predictions of surface meteorological variables (wind speed, air temperature, dewpoint temperature, air pressure) over the entire planet for forecasts extending from zero hours into the future (an analysis) to 36 hours. Approximately 12,000 surface stations world-wide were included in this analysis. Root-Mean-Square- Errors (RMSE) increased as the forecast period increased from zero to 36 hours, but the initial RMSE were almost as large as the 36 hour forecast RMSE for all variables. Typical RMSE were 3 C for air temperature, 2-3mb for sea-level pressure, 3.5 C for dewpoint temperature and 2.5 m/s for wind speed. Approximately 20-40% of the GFS errors can be attributed to a lack of resolution of local features. We attribute the large initial RMSE for the zero hour forecasts to the inability of the GFS to resolve local terrain features that often dominate local weather conditions, e.g., mountain- valley circulations and sea and land breezes. Since the horizontal resolution of the GFS (about 1{sup o} of latitude and longitude) prevents it from simulating these locally-driven circulations, its performance will not improve until model resolution increases by a factor of 10 or more (from about 100 km to less than 10 km). Since this will not happen in the near future, an alternative for the near term to improve surface weather analyses and predictions for specific points in space and time would be implementation of a high-resolution, limited-area mesoscale atmospheric prediction model in regions of interest.

Werth, D.; Garrett, A.

2009-04-15T23:59:59.000Z

156

Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

E/EIA-0262/2 E/EIA-0262/2 Residential Energy Consumption Survey: 1978-1980 Consumption and Expenditures Part II: Regional Data May 1981 U.S. Department of Energy Energy Information Administration Assistant Administrator for Program Development Office of the Consumption Data System Residential and Commercial Data Systems Division -T8-aa * N uojssaooy 'SOS^-m (£03) ao£ 5925 'uofSfAfQ s^onpojj aa^ndmoo - aojAaag T BU T3gN am rcoj? aig^IT^^ '(adBx Q-naugBH) TOO/T8-JQ/30Q 30^703 OQ ' d jo :moaj ajqBfT^A^ 3J^ sjaodaa aAoqe aqa jo 's-TZTOO-eoo-Tgo 'ON ^ois odo 'g^zo-via/aoQ 'TBST Sujpjjng rXaAang uojidmnsuoo XSaaug sSu-ppjprig ON ^oo^s OdO '^/ZOZO-Via/aOQ *086T aunr '6L6I ?sn§ny og aunf ' jo suja^Bd uoj^dmnsuoo :XaAjng uo^^dmnsuoQ XSaaug OS '9$ '6-ieTOO- 00-T90 OdD 'S/ZOZO-Via/aOa C

157

Residential photovoltaic systems costs  

SciTech Connect

A study of costs associated with the installation and operation of a residential photovoltaic system has been conducted to determine present and projected (1986) status. As a basis for the study, a residential photovoltaic system design projected for 1986 was assumed, consisting of two principal components: a roof-mounted array and a utility-interactive inverter. The scope of the study encompassed both silicon and cadmium sulfide photovoltaic modules. Cost estimates were obtained by a survey and study of reports generated by companies and agencies presently active in each of the subsystem area. Where necessary, supplemental estimates were established as part of this study. The range of estimates for silicon-based systems strongly suggest that such systems will be competitive for new installations and reasonably competitive for retrofit applications. The cadmium-sulfide-based system cost estimates, which are less certain than those for silicon, indicate that these systems will be marginally competitive with silicon-based systems for new construction, but not competitive for retrofit applications. Significant variations from the DOE system price sub-goals were found, however, particularly in the areas of array mounting, wiring and cleaning. Additional development work appears needed in these areas.

Cox, C.H. III

1980-01-01T23:59:59.000Z

158

Building Technologies Office: Residential Building Activities  

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

Residential Building Residential Building Activities to someone by E-mail Share Building Technologies Office: Residential Building Activities on Facebook Tweet about Building Technologies Office: Residential Building Activities on Twitter Bookmark Building Technologies Office: Residential Building Activities on Google Bookmark Building Technologies Office: Residential Building Activities on Delicious Rank Building Technologies Office: Residential Building Activities on Digg Find More places to share Building Technologies Office: Residential Building Activities on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Guidelines for Home Energy Professionals

159

Fact Sheet: Better Buildings Residential Network  

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

bbrn What Is the Residential Network? The Better Buildings Residential Network connects energy efficiency programs and partners to share best practices and learn from one another...

160

Residential Energy Efficiency Technical Update Meeting: August...  

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

Residential Energy Efficiency Technical Update Meeting: August 2011 Residential Energy Efficiency Technical Update Meeting: August 2011 On this page, you may link to the summary...

Note: This page contains sample records for the topic "forecasts future residential" 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

Residential Energy Efficiency Customer Service Best Practices...  

Energy Savers (EERE)

Residential Energy Efficiency Customer Service Best Practices Peer Exchange Call Residential Energy Efficiency Customer Service Best Practices Peer Exchange Call January 22, 2015...

162

Building America Residential Energy Efficiency Technical Update...  

Energy Savers (EERE)

Residential Energy Efficiency Technical Update Meeting: August 2011 Building America Residential Energy Efficiency Technical Update Meeting: August 2011 On this page, you may link...

163

Optimal Sizing for Residential CHP System  

Science Journals Connector (OSTI)

Residential CHP systems have been introduced around Japan recently, ... the process of boosting the adoption of residential CHP systems, both manufacturers and customers are interested...

Hongbo Ren; Weijun Gao; Yingjun Ruan

2007-01-01T23:59:59.000Z

164

Building America Residential Buildings Energy Efficiency Meeting...  

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

Residential Buildings Energy Efficiency Meeting: July 2010 Building America Residential Buildings Energy Efficiency Meeting: July 2010 On this page, you may link to the summary...

165

Quality Assurance for Residential Retrofit Programs | Department...  

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

Quality Assurance for Residential Retrofit Programs Quality Assurance for Residential Retrofit Programs Blue version of the EERE PowerPoint template, for use with PowerPoint 2007....

166

Better Buildings Residential Network | Department of Energy  

Energy Savers (EERE)

more. Residential Network Members Welcome Our Newest Members Cascadia Consulting Group Johnson Environmental The Building Performance Center, Inc. *Residential Network members that...

167

Residential energy gateway system in smart grid.  

E-Print Network (OSTI)

??This project discusses about the residential energy gateway in the Smart Grid. A residential energy gateway is a critical component in the Home Energy Management… (more)

Thirumurthy, Vinod Govindswamy

2010-01-01T23:59:59.000Z

168

Better Buildings Residential Network Orientation Peer Exchange...  

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

Better Buildings Residential Network Orientation Peer Exchange Webinar Better Buildings Residential Network Orientation Peer Exchange Webinar September 11, 2014 7:00PM to 8:3...

169

Better Buildings Residential Network Membership Form | Department...  

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

Network Membership Form Better Buildings Residential Network Membership Form Membership form from the U.S. Department of Energy's Better Buildings Residential Network Recommended...

170

Sandia National Laboratories: solar forecasting  

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

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

171

Residential Energy Demand Reduction Analysis and Monitoring Platform - REDRAMP  

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

Dramatic Peak Residential Dramatic Peak Residential Demand Reduction in the Desert Southwest Yahia Baghzouz Center for Energy Research University of Nevada, Las Vegas Golden, CO Overview * Project description * Subdivision energy efficiency features * Home energy monitoring * Demand side management * Feeder loading * Battery Energy Storage System * Future Work Team Members Project Objective and Methodology * The main objective is to reduce peak power demand of a housing subdivision by 65% (compared to housing development that is built to conventional code). * This objective will be achieved by - Energy efficient home construction with roof- integrated PV system - Demand Side Management - Battery Energy Storage System Project schematic Diagram Project Physical Location: Las Vegas, NV Red Rock Hotel/Casino

172

Consensus Coal Production Forecast for  

E-Print Network (OSTI)

Rate Forecasts 19 5. EIA Forecast: Regional Coal Production 22 6. Wood Mackenzie Forecast: W.V. Steam to data currently published by the Energy Information Administration (EIA), coal production in the state in this report calls for state production to decline by 11.3 percent in 2009 to 140.2 million tons. During

Mohaghegh, Shahab

173

Residential Ventilation & Energy  

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

5 5 Residential Ventilation & Energy Figure 1: Annual Average Ventilation Costs of the Current U.S. Single-Family Housing Stock ($/year/house). Infiltration and ventilation in dwellings is conventionally believed to account for one-third to one-half of space conditioning energy. Unfortunately, there is not a great deal of measurement data or analysis to substantiate this assumption. As energy conservation improvements to the thermal envelope continue, the fraction of energy consumed by the conditioning of air may increase. Air-tightening programs, while decreasing energy requirements, have the tendency to decrease ventilation and its associated energy penalty at the possible expense of adequate indoor air quality. Therefore, more energy may be spent on conditioning air.

174

Comparison of Airbus, Boeing, Rolls-Royce and AVITAS market forecasts  

Science Journals Connector (OSTI)

Forecasts of future world demand for commercial aircraft are published fairly regularly by Airbus and Boeing. Other players in the aviation business, Rolls Royce and AVITAS, have also published forecasts in the past year. This article analyses and compares the methods used and assumptions made by the several forecasters. It concludes that there are wide areas of similarity in the approaches used and highlights the most significant area of divergence.

Ralph Anker

2000-01-01T23:59:59.000Z

175

Modeling diffusion of electrical appliances in the residential sector  

SciTech Connect

This paper presents a methodology for modeling residential appliance uptake as a function of root macroeconomic drivers. The analysis concentrates on four major energy end uses in the residential sector: refrigerators, washing machines, televisions and air conditioners. The model employs linear regression analysis to parameterize appliance ownership in terms of household income, urbanization and electrification rates according to a standard binary choice (logistic) function. The underlying household appliance ownership data are gathered from a variety of sources including energy consumption and more general standard of living surveys. These data span a wide range of countries, including many developing countries for which appliance ownership is currently low, but likely to grow significantly over the next decades as a result of economic development. The result is a 'global' parameterization of appliance ownership rates as a function of widely available macroeconomic variables for the four appliances studied, which provides a reliable basis for interpolation where data are not available, and forecasting of ownership rates on a global scale. The main value of this method is to form the foundation of bottom-up energy demand forecasts, project energy-related greenhouse gas emissions, and allow for the construction of detailed emissions mitigation scenarios.

McNeil, Michael A.; Letschert, Virginie E.

2009-11-22T23:59:59.000Z

176

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption, Actual vs. Forecasts Table 5. Total Coal Consumption, Actual vs. Forecasts Table 6. Total Electricity Sales, Actual vs. Forecasts Table 7. Crude Oil Production, Actual vs. Forecasts Table 8. Natural Gas Production, Actual vs. Forecasts Table 9. Coal Production, Actual vs. Forecasts Table 10. Net Petroleum Imports, Actual vs. Forecasts Table 11. Net Natural Gas Imports, Actual vs. Forecasts Table 12. Net Coal Exports, Actual vs. Forecasts Table 13. World Oil Prices, Actual vs. Forecasts Table 14. Natural Gas Wellhead Prices, Actual vs. Forecasts Table 15. Coal Prices to Electric Utilities, Actual vs. Forecasts

177

On Sequential Probability Forecasting  

E-Print Network (OSTI)

at the same time. [Probability, Statistics and Truth, MacMillan 1957. page 11] ... the collective "denotes a collective wherein the attribute of the single event is the number of points thrown. [Probability, StatisticsOn Sequential Probability Forecasting David A. Bessler 1 David A. Bessler Texas A&M University

McCarl, Bruce A.

178

Bachelor Thesis Future sustainable terraced houses  

E-Print Network (OSTI)

Cardiff University August 4, 2014 #12;Colophon Title: Future sustainable residential buildings in Cardiff a first introduction about sustainability in the building sector. Collecting data about the future climateBachelor Thesis Future sustainable terraced houses in Cardiff Karin Ernst University of Twente

Vellekoop, Michel

179

Coal production forecast and low carbon policies in China  

Science Journals Connector (OSTI)

With rapid economic growth and industrial expansion, China consumes more coal than any other nation. Therefore, it is particularly crucial to forecast China's coal production to help managers make strategic decisions concerning China's policies intended to reduce carbon emissions and concerning the country's future needs for domestic and imported coal. Such decisions, which must consider results from forecasts, will have important national and international effects. This article proposes three improved forecasting models based on grey systems theory: the Discrete Grey Model (DGM), the Rolling DGM (RDGM), and the p value RDGM. We use the statistical data of coal production in China from 1949 to 2005 to validate the effectiveness of these improved models to forecast the data from 2006 to 2010. The performance of the models demonstrates that the p value RDGM has the best forecasting behaviour over this historical time period. Furthermore, this paper forecasts coal production from 2011 to 2015 and suggests some policies for reducing carbon and other emissions that accompany the rise in forecasted coal production.

Jianzhou Wang; Yao Dong; Jie Wu; Ren Mu; He Jiang

2011-01-01T23:59:59.000Z

180

Better Buildings Neighborhood Program: Better Buildings Residential  

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

Better Better Buildings Residential Network-Current Members to someone by E-mail Share Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Facebook Tweet about Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Twitter Bookmark Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Google Bookmark Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Delicious Rank Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Digg Find More places to share Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on AddThis.com...

Note: This page contains sample records for the topic "forecasts future residential" 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

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sánchez The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors,

182

FORSITE: a geothermal site development forecasting system  

SciTech Connect

The Geothermal Site Development Forecasting System (FORSITE) is a computer-based system being developed to assist DOE geothermal program managers in monitoring the progress of multiple geothermal electric exploration and construction projects. The system will combine conceptual development schedules with site-specific status data to predict a time-phased sequence of development likely to occur at specific geothermal sites. Forecasting includes estimation of industry costs and federal manpower requirements across sites on a year-by-year basis. The main advantage of the system, which relies on reporting of major, easily detectable industry activities, is its ability to use relatively sparse data to achieve a representation of status and future development.

Entingh, D.J.; Gerstein, R.E.; Kenkeremath, L.D.; Ko, S.M.

1981-10-01T23:59:59.000Z

183

SMUD's Residential Summer Solutions Study  

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

SMUD's Residential Summer Solutions Study SMUD's Residential Summer Solutions Study Speaker(s): Karen Herter Date: August 26, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page In 2009, the DRRC and SMUD teamed up to test the use of dynamic pricing and communicating thermostats in the small commercial sector. The final results showed summer energy savings of 20%, event impacts of 14%, and bill savings of 25%. In 2011, the same team will conduct a similar study involving residential customers with interval meters. The study is designed to inform the transition to the Sacramento smart grid through experimentation with real-time energy use data and communicating thermostats, both with and without dynamic pricing. Three randomly chosen groups of residential customers were offered one of three equipment configuration treatments: (a)

184

Winter Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Residential heating oil prices reflect a similar pattern to that shown in spot prices. However, like other retail petroleum prices, they tend to lag changes in wholesale prices in both directions, with the result that they don't rise as rapidly or as much, but they take longer to recede. This chart shows the residential heating oil prices collected under the State Heating Oil and Propane Program (SHOPP), which only runs during the heating season, from October through March. The spike in New York Harbor spot prices last winter carried through to residential prices throughout New England and the Central Atlantic states. Though the spike actually lasted only a few weeks, residential prices ended the heating season well above where they had started.

185

Residential propane price decreases slightly  

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

propane price decreases slightly The average retail price for propane is 2.38 per gallon, down 3-tenths of a cent from last week, based on the residential heating fuel survey by...

186

Residential Demand Response under Uncertainty  

Science Journals Connector (OSTI)

This paper considers a residential market with real-time electricity pricing and flexible electricity consumption profiles for customers. Such a market raises an optimisation problem for home automation systems w...

Paul Scott; Sylvie Thiébaux…

2013-01-01T23:59:59.000Z

187

Residential heating oil prices decline  

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

propane price increase slightly The average retail price for propane is 2.41 per gallon, up 1-tenth of a cent from last week, based on the residential heating fuel survey by the...

188

Residential heating oil price decreases  

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

05, 2014 Residential heating oil price decreases The average retail price for home heating oil fell 1.9 cents from a week ago to 3.43 per gallon. That's down 39 cents from a year...

189

Residential heating oil price decreases  

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

4 Residential heating oil price decreases The average retail price for home heating oil fell 1.6 cents from a week ago to 3.42 per gallon. That's down 39.5 cents from a year ago,...

190

Residential heating oil prices increase  

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

5, 2014 Residential heating oil prices increase The average retail price for home heating oil rose 6.5 cents from a week ago to 4.24 per gallon. That's up 14.9 cents from a year...

191

Residential heating oil price decreases  

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

6, 2014 Residential heating oil price decreases The average retail price for home heating oil rose 1.6 cents from a week ago to 4.24 per gallon. That's up 8.9 cents from a year...

192

Residential heating oil prices increase  

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

3, 2014 Residential heating oil prices increase The average retail price for home heating oil rose 4.4 cents from a week ago to 4.06 per gallon. That's up 4.1 cents from a year...

193

Residential heating oil prices decline  

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

heating oil prices decline The average retail price for home heating oil is 3.48 per gallon. That's down 4.5 cents from a week ago, based on the residential heating fuel survey by...

194

Residential heating oil prices decrease  

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

5, 2014 Residential heating oil prices decrease The average retail price for home heating oil fell 1.8 cents from a week ago to 4.00 per gallon. That's down 2-tenths of a cent...

195

Residential heating oil prices available  

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

ago, based on the U.S. Energy Information Administration's weekly residential heating fuel price survey. Heating oil prices in the New England region are at 3.48 per gallon,...

196

Residential Commercial Industrial Year  

Gasoline and Diesel Fuel Update (EIA)

4 4 Residential Commercial Industrial Year and State Volume (million cubic feet) Consumers Volume (million cubic feet) Consumers Volume (million cubic feet) Consumers 2000 Total ................... 4,996,179 59,252,728 3,182,469 5,010,817 8,142,240 220,251 2001 Total ................... 4,771,340 60,286,364 3,022,712 4,996,446 7,344,219 217,026 2002 Total ................... 4,888,816 61,107,254 3,144,169 5,064,384 7,507,180 205,915 2003 Total ................... R 5,079,351 R 61,871,450 R 3,179,493 R 5,152,177 R 7,150,396 R 205,514 2004 Total ................... 4,884,521 62,469,142 3,141,653 5,135,985 7,250,634 212,191 Alabama ...................... 43,842 806,175 26,418 65,040 169,135 2,800 Alaska.......................... 18,200 104,360 18,373 13,999 46,580 10 Arizona ........................

197

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

7 7 Range 10 4 48 Clothes Dryer 359 (2) 4 49 Water Heating Water Heater-Family of 4 40 64 (3) 26 294 Water Heater-Family of 2 40 32 (3) 12 140 Note(s): Source(s): 1) $1.139/therm. 2) Cycles/year. 3) Gallons/day. A.D. Little, EIA-Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case, Sept. 2, 1998, p. 30 for range and clothes dryer; LBNL, Energy Data Sourcebook for the U.S. Residential Sector, LBNL-40297, Sept. 1997, p. 62-67 for water heating; GAMA, Consumers' Directory of Certified Efficiency Ratings for Heating and Water Heating Equipment, Apr. 2002, for water heater capacity; and American Gas Association, Gas Facts 1998, December 1999, www.aga.org for range and clothes dryer consumption. Operating Characteristics of Natural Gas Appliances in the Residential Sector

198

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sanchez by Esmeralda Sanchez Errata -(7/14/04) The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors, expressed as the percentage difference between the Reference Case projection and actual historic value, shown for every AEO and for each year in the forecast horizon (for a given variable). The historical data are typically taken from the Annual Energy Review (AER). The last column of Table 1 provides a summary of the most recent average absolute forecast errors. The calculation of the forecast error is shown in more detail in Tables 2 through 18. Because data for coal prices to electric generating plants were not available from the AER, data from the Monthly Energy Review (MER), July 2003 were used.

199

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

and clothes drying. In addition to the major equipment-driven and clothes drying. In addition to the major equipment-driven end-uses, the average energy consumption per household is projected for other electric and nonelectric Energy Information Administration/Assumptions to the Annual Energy Outlook 2006 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 South Atlantic Mountain Figure 5. United States Census Divisions Source:Energy Information Administration,Office of Integrated Analysis and Forecasting. Report #:DOE/EIA-0554(2006) Release date: March 2006

200

Residential Retrofit Design Guide Overview | Department of Energy  

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

Residential Retrofit Design Guide Overview Residential Retrofit Design Guide Overview Residential Retrofit Design Guide Overview Webinar. Res Retro Design Guide Webinar 5-3-11...

Note: This page contains sample records for the topic "forecasts future residential" 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

NREL Residential Buildings Group Partners - Datasets - OpenEI...  

Open Energy Info (EERE)

Residential Buildings ... Dataset Activity Stream NREL Residential Buildings Group Partners This spreadsheet contains a list of all the companies with which NREL's Residential...

202

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast  

E-Print Network (OSTI)

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast Energy Demand ........................................................................ 28 Possible Future Trends for Plug-in Hybrid Electric Vehicles .............................................................. 23 Electricity Demand Growth in the West

203

Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts  

E-Print Network (OSTI)

Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts Antonio that the inherent variability in wind power generation and the related difficulty in predicting future generation profiles, raise major challenges to wind power integration into the electricity grid. In this work we study

Giannitrapani, Antonello

204

SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS  

E-Print Network (OSTI)

SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS Detlev Heinemann Oldenburg.girodo@uni-oldenburg.de ABSTRACT Solar energy is expected to contribute major shares of the future global energy supply. Due to its and solar energy conversion processes has to account for this behaviour in respective operating strategies

Heinemann, Detlev

205

Forecasting Building Occupancy Using Sensor Network James Howard  

E-Print Network (OSTI)

) into the future. Our approach is to train a set of standard forecasting models to our time series data. Each model conditioning (HVAC) systems. In particular, if occupancy can be accurately pre- dicted, HVAC systems can potentially be controlled to op- erate more efficiently. For example, an HVAC system can pre-heat or pre

Hoff, William A.

206

Introduction An important goal in operational weather forecasting  

E-Print Network (OSTI)

sensitive areas. To answer these questions simulation experiments with state-of-the-art numerical weather prediction (NWP) models have proved great value to test future meteorological observing systems a priori102 Introduction An important goal in operational weather forecasting is to reduce the number

Haak, Hein

207

Journey data based arrival forecasting for bicycle hire schemes  

E-Print Network (OSTI)

Journey data based arrival forecasting for bicycle hire schemes Marcel C. Guenther and Jeremy T. The global emergence of city bicycle hire schemes has re- cently received a lot of attention of future bicycle migration trends, as these assist service providers to ensure availability of bicycles

Imperial College, London

208

Consumers Energy (Electric) - Residential Energy Efficiency Program |  

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

Electric) - Residential Energy Efficiency Program Electric) - Residential Energy Efficiency Program Consumers Energy (Electric) - Residential Energy Efficiency Program < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Ventilation Manufacturing Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate Home Performance Comprehensive Assessment and Installations: $3500 Insulation: $1,025 Windows: $250 Program Info State Michigan Program Type Utility Rebate Program Rebate Amount CFL Lighting: Retailer Instant Discount Programmable Thermostat: $10 Central A/C and Heat Pumps: $150 - $250 Central A/C Tune up: $50 Ground Source Heat Pump: $200-$300

209

Building Technologies Office: Residential Dishwashers, Dehumidifiers, and  

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

Residential Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting to someone by E-mail Share Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting on Facebook Tweet about Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting on Twitter Bookmark Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting on Google Bookmark Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR

210

Better Buildings Neighborhood Program: Residential Energy Efficiency  

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

Residential Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 to someone by E-mail Share Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Facebook Tweet about Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Twitter Bookmark Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Google Bookmark Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Delicious

211

Assessment of Interval Data and Their Potential Application to Residential Electricity End-Use Modeling, An  

Reports and Publications (EIA)

The Energy Information Administration (EIA) is investigating the potential benefits of incorporating interval electricity data into its residential energy end use models. This includes interval smart meter and submeter data from utility assets and systems. It is expected that these data will play a significant role in informing residential energy efficiency policies in the future. Therefore, a long-term strategy for improving the RECS end-use models will not be complete without an investigation of the current state of affairs of submeter data, including their potential for use in the context of residential building energy modeling.

2015-01-01T23:59:59.000Z

212

Price forecasting for notebook computers.  

E-Print Network (OSTI)

??This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a… (more)

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

213

Ensemble Forecasts and their Verification  

E-Print Network (OSTI)

· Ensemble forecast verification ­ Performance metrics: Brier Score, CRPSS · New concepts and developments of weather Sources: Insufficient spatial resolution, truncation errors in the dynamical equations

Maryland at College Park, University of

214

The Potential Impact of Increased Renewable Energy Penetration Levels on Electricity Bill Savings From Residential Photovoltaic Systems  

E-Print Network (OSTI)

and Renewable Energy, Solar Technologies Program of the U.S.Renewable Energy (Solar Energy Technologies Program) and thetechnologies, both utility-scale and behind-the-meter. Future installations of residential solar

Darghouth, Naim

2014-01-01T23:59:59.000Z

215

Probabilistic manpower forecasting  

E-Print Network (OSTI)

- ing E. Results- Probabilistic Forecasting . 26 27 Z8 29 31 35 36 38 39 IV. CONCLUSIONS. V. GLOSSARY 42 44 APPENDICES REFERENCES 50 70 LIST OF TABLES Table Page Outline of Job-Probability Matrix Job-Probability Matrix. Possible... Outcomes of Job A Possible Outcomes of Jobs A and B 10 Possible Outcomes of Jobs A, B and C II LIST GF FIGURES Figure Page Binary Representation of Numbers 0 Through 7 12 First Cumulative Probability Table 14 3. Graph of Cumulative Probability vs...

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

216

State Residential Energy Consumption Shares  

Gasoline and Diesel Fuel Update (EIA)

This next slide shows what fuels are used in the residential market. When a This next slide shows what fuels are used in the residential market. When a energy supply event happens, particularly severe winter weather, it is this sector that the government becomes most concerned about. As you can see, natural gas is very important to the residential sector not only in DC, MD and VA but in the United States as well. DC residents use more natural gas for home heating than do MD and VA. While residents use heating oil in all three states, this fuel plays an important role in MD and VA. Note: kerosene is included in the distillate category because it is an important fuel to rural households in MD and VA. MD and VA rely more on electricity than DC. Both MD and VA use propane as well. While there are some similarities in this chart, it is interesting to note

217

Austin Energy's Residential Solar Rate  

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

Leslie Libby Leslie Libby Austin Energy Project Manager 2020 Utility Scale Solar Goal 175 MW 30 MW PPA at Webberville 2020 Distributed Solar Goal 25 MW Residential - 7.0 MW Commercial - 1.4 MW Municipal and Schools - 1.0 MW TOTAL - 9.4 MW $0 $2 $4 $6 $8 $10 $12 $14 FY04 FY05 FY06 FY07 FY08 FY09 FY10 FY11 FY12 Installed Cost ($/Watt-DC) Residential Commercial Municipal Residential Rebate $2.00/Watt Average Installed Cost $3.75/Watt - SEIA Q2 2012 Report - Austin had the lowest installed cost in the nation ($3.88/W-DC)

218

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Journals Connector (OSTI)

This paper reports on the development of a diagnostic approach that can be used to examine the sources of numerical model forecast error that contribute to degraded tropical cyclone (TC) motion forecasts. Tropical cyclone motion forecasts depend ...

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

219

Future Climate Analysis  

SciTech Connect

This report documents an analysis that was performed to estimate climatic variables for the next 10,000 years by forecasting the timing and nature of climate change at Yucca Mountain, Nevada, the site of a repository for spent nuclear fuel and high-level radioactive waste. The future-climate estimates are based on an analysis of past-climate data from analog meteorological stations, and this report provides the rationale for the selection of these analog stations. The stations selected provide an upper and a lower climate bound for each future climate, and the data from those sites will provide input to the following reports: ''Simulation of Net Infiltration for Present-Day and Potential Future Climates'' (BSC 2004 [DIRS 170007]), ''Total System Performance Assessment (TSPA) Model/Analysis for the License Application'' (BSC 2004 [DIRS 168504]), ''Features, Events, and Processes in UZ Flow and Transport'' (BSC 2004 [DIRS 170012]), and ''Features, Events, and Processes in SZ Flow and Transport'' (BSC 2004 [DIRS 170013]). Forecasting long-term future climates, especially for the next 10,000 years, is highly speculative and rarely attempted. A very limited literature exists concerning the subject, largely from the British radioactive waste disposal effort. The discussion presented here is one available forecasting method for establishing upper and lower bounds for future climate estimates. The selection of different methods is directly dependent on the available evidence used to build a forecasting argument. The method used here involves selecting a particular past climate from many past climates, as an analog for future climate. While alternative analyses are possible for the case presented for Yucca Mountain, the evidence (data) used would be the same and the conclusions would not be expected to drastically change. Other studies might develop a different rationale or select other past climates resulting in a different future climate analog. Other alternative approaches could include simulation of climate over the 10,000-year period; however, this modeling extrapolation is well beyond the bounds of current scientific practice and would not provide results with better confidence. A corroborative alternative approach may be found in ''Future Climate Analysis-10,000 Years to 1,000,000 Years After Present'' (Sharpe 2003 [DIRS 161591]). The current revision of this report is prepared in accordance with ''Technical Work Plan for: Unsaturated Zone Flow Analysis and Model Report Integration'' (BSC 2004 [DIRS 169654]).

C. G. Cambell

2004-09-03T23:59:59.000Z

220

Residential Lighting: Title 24 and Technology Update  

E-Print Network (OSTI)

Residential Lighting: Title 24 and Technology Update Best practices in lighting design to comply the development and deployment of energy-efficient lighting and daylighting technologies in partnership. Effectively apply the residential Title 24 Building Energy Efficiency Standards requirements specific

California at Davis, University of

Note: This page contains sample records for the topic "forecasts future residential" 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

Residential Load Management Program and Pilot  

E-Print Network (OSTI)

In 1986 LCRA embarked on residential load management to control peak summer loads. At that time, LCRA was considered a summer peaking utility, and residential air conditioning and water heating systems were selected for control. The program...

Haverlah, D.; Riordon, K.

1994-01-01T23:59:59.000Z

222

Residential propane price decreases slightly decreases slightly  

Gasoline and Diesel Fuel Update (EIA)

7, 2014 Residential propane price decreases slightly The average retail price for propane is 2.38 per gallon, down 3-tenths of a cent from last week, based on the residential...

223

Edmond Electric- Residential Heat Pump Rebate Program  

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

Edmond Electric offers rebates to residential customers who install energy-efficient heat pumps. This program applies to installations in both new and existing residential homes and complexes. Air...

224

Residential propane price continues to decrease  

Gasoline and Diesel Fuel Update (EIA)

12, 2014 Residential propane price continues to decrease The average retail price for propane fell to 3.76 per gallon, down 13.4 cents from a week ago, based on the residential...

225

Piedmont Natural Gas- Residential Equipment Efficiency Program  

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

Piedmont Natural Gas offers rebates on high-efficiency natural gas tankless water heaters, tank water heaters and furnaces. Customers on the 201-Residential Service Rate or 221-Residential Service...

226

Residential propane price continues to decrease  

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

0, 2014 Residential propane price decreases The average retail price for propane fell to 3.64 per gallon, down 12.7 cents from a week ago, based on the residential heating fuel...

227

Project Profile: Forecasting and Influencing Technological Progress...  

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

Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Logos of the University of...

228

Forecasting with adaptive extended exponential smoothing  

Science Journals Connector (OSTI)

Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various t...

John T. Mentzer Ph.D.

229

Electricity price forecasting in a grid environment.  

E-Print Network (OSTI)

??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate… (more)

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

230

Energy Department Forecasts Geothermal Achievements in 2015 ...  

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

Forecasts Geothermal Achievements in 2015 Energy Department Forecasts Geothermal Achievements in 2015 The 40th annual Stanford Geothermal Workshop in January featured speakers in...

231

Residential Condensing Gas Furnaces | Department of Energy  

Office of Environmental Management (EM)

Gas Furnaces Residential Condensing Gas Furnaces Standardized Templates for Reporting Test Results residentialcondensinggasfurnacev1.0.xlsx More Documents & Publications...

232

Presentation: Better Buildings Residential Program Solution Center  

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

Presentation: Better Buildings Residential Program Solution Center, from the U.S. Department of Energy, Better Buildings Neighborhood Program.

233

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation by Susan H. Holte In this paper, the Office of Integrated Analysis and Forecasting (OIAF) of the Energy Information Administration (EIA) evaluates the projections published in the Annual Energy Outlook (AEO), (1) by comparing the projections from the Annual Energy Outlook 1982 through the Annual Energy Outlook 2001 with actual historical values. A set of major consumption, production, net import, price, economic, and carbon dioxide emissions variables are included in the evaluation, updating similar papers from previous years. These evaluations also present the reasons and rationales for significant differences. The Office of Integrated Analysis and Forecasting has been providing an

234

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Title of Paper Annual Energy Outlook Forecast Evaluation Title of Paper Annual Energy Outlook Forecast Evaluation by Susan H. Holte OIAF has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Natural gas has generally been the fuel with the least accurate forecasts of consumption, production, and prices. Natural gas was the last fossil fuel to be deregulated following the strong regulation of energy markets in the 1970s and early 1980s. Even after deregulation, the behavior

235

Renovating Residential HVAC Systems HVAC Systems  

E-Print Network (OSTI)

- 1 - LBNL 57406 Renovating Residential HVAC Systems HVAC Systems J.A. McWilliams and I.S. Walker and Air Conditioning), and Stacy Hunt and Ananda Harzell (IBACOS). #12;- 3 - Renovating Residential HVAC Guideline for Residential HVAC Retrofits (http

236

Using Qualified Energy Conservation Bonds (QECBs) to Fund a Residential  

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

Using Qualified Energy Conservation Bonds (QECBs) to Fund a Residential Using Qualified Energy Conservation Bonds (QECBs) to Fund a Residential Energy Efficiency Loan Program: Case Study on Saint Louis County, MO Title Using Qualified Energy Conservation Bonds (QECBs) to Fund a Residential Energy Efficiency Loan Program: Case Study on Saint Louis County, MO Publication Type Policy Brief Authors Zimring, Mark Secondary Title Clean Energy Program Policy Brief Publisher LBNL Place Published Berkeley Year of Publication 2011 Pagination 7 Date Published 06/2011 Abstract Qualified Energy Conservation Bonds (QECBs) are federally-subsidized debt instruments that enable state, tribal, and local government issuers to borrow money to fund a range of qualified energy conservation projects. QECBs offer issuers very attractive borrowing rates and long terms, and can fund low-interest energy efficiency loans for home and commercial property owners. Saint Louis County, MO recently issued over $10 million of QECBs to finance the Saint Louis County SAVES residential energy efficiency loan program. The county's experience negotiating QECB regulations and restrictions can inform future issuers.

237

Energy Efficiency Program for Residential Products: Energy Conservation Standards for Residential Dishwashers, Reopening of the Comment Period  

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

Energy Efficiency Program for Residential Products: Energy Conservation Standards for Residential Dishwashers, Reopening of the Comment Period

238

Covered Product Category: Residential Refrigerators  

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

FEMP provides acquisition guidance across a variety of product categories, including residential refrigerators, which are an ENERGY STAR®-qualified product category. Federal laws and executive orders mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law.

239

CALIFORNIA ENERGY Residential Duct Placement  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION Residential Duct Placement: Market Barriers Market Barriers, Governor #12;#12;CALIFORNIA ENERGY COMMISSION Prepared By: GARD Analytics, Inc. Roger Hedrick, Lead Author DISCLAIMER This report was prepared as the result of work sponsored by the California Energy Commission

240

2008 Residential2008 Residential Energy Plan ReviewEnergy Plan Reviewe gy la eviewe gy la eview  

E-Print Network (OSTI)

2008 Residential2008 Residential Energy Plan ReviewEnergy Plan Reviewe gy la eviewe gy la eview #12;2008 Residential Energy Plan2008 Residential Energy Plan Review ChecklistReview Checklist Simplification 2005 Residential Energy Plan Review2005 Residential Energy Plan Review 2005 and 2008 Nonresidential

Note: This page contains sample records for the topic "forecasts future residential" 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

Liberty Utilities (Electric) - Residential Energy Efficiency Rebate  

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

Liberty Utilities (Electric) - Residential Energy Efficiency Rebate Liberty Utilities (Electric) - Residential Energy Efficiency Rebate Programs Liberty Utilities (Electric) - Residential Energy Efficiency Rebate Programs < Back Eligibility Construction Low-Income Residential Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Other Sealing Your Home Ventilation Commercial Lighting Lighting Maximum Rebate Home Performance with ENERGY STAR®: $4000 Program Info Funding Source NH Saves State New Hampshire Program Type Utility Rebate Program Rebate Amount Home Performance with ENERGY STAR®: up to $4,000 for improvements ENERGY STAR® Homes Qualification: custom incentives and technical support

242

Energy Optimization (Electric) - Residential Efficiency Program |  

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

Energy Optimization (Electric) - Residential Efficiency Program Energy Optimization (Electric) - Residential Efficiency Program Energy Optimization (Electric) - Residential Efficiency Program < Back Eligibility Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Cooling Commercial Heating & Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Maximum Rebate Ceiling Fans: 4 Smart Power Strip: 2 Pipe Wrap: 10 ln. ft. CFL Bulbs: 12 Refrigerator Recycling: 2 Program Info State Michigan Program Type Utility Rebate Program Rebate Amount CFL Bulbs: Varies by retailer Ceiling Fan: $15 CFL Fixture: $15 LED Fixture/Downlight Kit: $20 LED Light Bulbs: $10 Smart Power Strip: $20 Room Air Conditioners: $20

243

Charlottesville Gas - Residential Energy Efficiency Rebate Program |  

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

Charlottesville Gas - Residential Energy Efficiency Rebate Program Charlottesville Gas - Residential Energy Efficiency Rebate Program Charlottesville Gas - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Appliances & Electronics Water Heating Program Info State Virginia Program Type Utility Rebate Program Rebate Amount Programmable Thermostat: up to $100 Natural Gas Water Heater Conversion: $100 Provider City of Charlottesville Charlottesville Gas offers rebates to residential customers for purchasing and installing specified energy efficient equipment. Rebates and utility bill credits of up to $100 are available for installing new, energy efficient natural gas water heaters and programmable thermostats. Only customers which previously did not have natural gas water heating are

244

Residential Solar Rights | Department of Energy  

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

Residential Solar Rights Residential Solar Rights Residential Solar Rights < Back Eligibility Residential Savings Category Solar Buying & Making Electricity Heating & Cooling Commercial Heating & Cooling Heating Water Heating Program Info State New Jersey Program Type Solar/Wind Access Policy In 2007, New Jersey enacted legislation preventing homeowners associations from prohibiting the installation of solar collectors on certain types of residential properties. The term "solar collector" is not defined, but would seem to include both solar photovoltaic and solar thermal technologies which use collectors installed on the roof of a dwelling. This law covers only dwellings that are ''not'' deemed community property of the association, including townhouses which have at least two sides that are

245

Verdigris Valley Electric Cooperative - Residential Energy Efficiency  

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

Verdigris Valley Electric Cooperative - Residential Energy Verdigris Valley Electric Cooperative - Residential Energy Efficiency Rebate Program Verdigris Valley Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Oklahoma Program Type Utility Rebate Program Rebate Amount Room Air Conditioner: $50 Electric Water Heaters: $50 - $199 Geothermal Heat Pumps (new): $300/ton Geothermal Heat Pumps (replacement): $150/ton Air-source/Dual Fuel Heat Pumps: $150/ton Provider Verdigris Valley Electric Cooperative Verdigris Valley Electric Cooperative (VVEC) offers rebates for residential customers who purchase energy efficient home equipment. Rebates are

246

Firelands Electric Cooperative - Residential Energy Efficiency Rebate  

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

Firelands Electric Cooperative - Residential Energy Efficiency Firelands Electric Cooperative - Residential Energy Efficiency Rebate Program Firelands Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Ohio Program Type Utility Rebate Program Rebate Amount Geothermal Heat Pump: $800 Air Source Heat Pump: $500 Dual Fuel Heat Pump: $250 Electric Water Heater: $100-$300 HVAC Controls: $100 Provider Firelands Electric Cooperative Firelands Electric Cooperative (FEC) is offering rebates on energy efficient equipment to residential customers receiving electric service from FEC. Eligible equipment includes new Geothermal Heat Pumps, Air-Source

247

Cookeville Electric Department - Residential Energy Efficiency Rebate  

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

Cookeville Electric Department - Residential Energy Efficiency Cookeville Electric Department - Residential Energy Efficiency Rebate Program Cookeville Electric Department - Residential Energy Efficiency Rebate Program < Back Eligibility Commercial Residential Utility Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Maximum Rebate Energy Audit Suggested Measures: $500 Program Info State Tennessee Program Type Utility Rebate Program Rebate Amount Heat Pump: $150 Water Heater: $100 Energy Audit Suggested Measures: 50% of cost Provider Cookeville Electric Department Cookeville Electric Department, in collaboration with the Tennessee Valley Authority, offers an incentive for residential customers to install energy efficient equipment through the ''energy right'' rebate program. Rebates

248

Empire District Electric - Residential Energy Efficiency Rebate |  

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

Empire District Electric - Residential Energy Efficiency Rebate Empire District Electric - Residential Energy Efficiency Rebate Empire District Electric - Residential Energy Efficiency Rebate < Back Eligibility Construction Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Construction Design & Remodeling Other Ventilation Water Heating Windows, Doors, & Skylights Program Info State Missouri Program Type Utility Rebate Program Rebate Amount ENERGY STAR Home Performance Retrofit: 400 ENERGY STAR Qualified Home Designation: 800 Air Conditioner: 400 - 500; varies depending on SEER rating Provider Empire District Electric Company The Empire District Electric Company offers rebates for customers who

249

Alameda Municipal Power - Residential Energy Efficiency Program |  

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

Residential Energy Efficiency Program Residential Energy Efficiency Program Alameda Municipal Power - Residential Energy Efficiency Program < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Maximum Rebate Single family, duplex, or triplex: $960 per unit Multi-family dwelling (four or more units): $480 per unit. Program Info State California Program Type Utility Grant Program Rebate Amount Weatherization: 80% of the cost Do-It-Yourself Weatherization: 70% of the cost Provider Alameda Municipal Power Alameda Municipal Power (AMP) offers a grant to help its residential customers who have electric heat weatherize homes to increase efficiency.

250

Correcting and combining time series forecasters  

Science Journals Connector (OSTI)

Combined forecasters have been in the vanguard of stochastic time series modeling. In this way it has been usual to suppose that each single model generates a residual or prediction error like a white noise. However, mostly because of disturbances not ... Keywords: Artificial neural networks hybrid systems, Linear combination of forecasts, Maximum likelihood estimation, Time series forecasters, Unbiased forecasters

Paulo Renato A. Firmino; Paulo S. G. De Mattos Neto; Tiago A. E. Ferreira

2014-02-01T23:59:59.000Z

251

NOAA Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps  

E-Print Network (OSTI)

Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12;Bay Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12 N Collier N Charlotte S Charlotte NOAA Harmful Algal Bloom Operational Forecast System Southwest

252

Perceptions of compact fluorescent lamps in the residential market  

SciTech Connect

Compact fluorescent lamps offer significant energy savings over other forms of residential lighting and last up to 10 times longer than conventional incandescent bulbs. In order to better understand existing barriers to acceptance and future opportunities for growth of compact fluorescent lighting in the residential retrofit sector, a three stage research project was designed and conducted by MACRO Consulting, Inc. Assessment of whether or not the benefits of compact fluorescent lamps are sufficient to overcome price resistance was one of the major purposes of this project. Residential customers were interviewed in focus group sessions to help determine key issues and motivating forces in the lighting/energy saving/cost saving equation. Residential customers in 5 major market areas were contacted by telephone, and data about their awareness, knowledge and use of compact fluorescent lighting were collected. These customers also participated in an attribute rating exercise in which compact fluorescent lamps were compared with fluorescent tubes and incandescent bulbs on a series of product attributes. A price elasticity exercise was also conducted. Teleconferences with retailers of compact fluorescent lamps were conducted in order to explore their knowledge of and attitudes towards compact fluorescent lamps. Customers agree that energy savings and longer life are both positive attributes for residential lighting products, but they are not yet ready to make the switch away from inexpensive, versatile and readily available incandescent bulbs to compact fluorescent lamps. Compact fluorescent lamps are rated poorly (even by satisfied'' users) on each of seven positive attributes of home lighting. Major barriers to increased use of compact fluorescent lamps include price, convenience, and performance. Prices above $10 are considered outrageous''. Product improvements are needed for appearance, light output and versatility.

Weiner, J.; Campbell, C.J. (Macro Consulting, Inc., Mountain View, CA (United States))

1992-07-01T23:59:59.000Z

253

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network (OSTI)

in forecasting electricity consumption in the residentialmodeling, since household electricity consumption is largelyup forecasting of electricity consumption by combining

McNeil, Michael A.

2010-01-01T23:59:59.000Z

254

Future Climate Analysis  

SciTech Connect

This Analysis/Model Report (AMR) documents an analysis that was performed to estimate climatic variables for the next 10,000 years by forecasting the timing and nature of climate change at Yucca Mountain (YM), Nevada (Figure 1), the site of a potential repository for high-level radioactive waste. The future-climate estimates are based on an analysis of past-climate data from analog meteorological stations, and this AMR provides the rationale for the selection of these analog stations. The stations selected provide an upper and a lower climate bound for each future climate, and the data from those sites will provide input to the infiltration model (USGS 2000) and for the total system performance assessment for the Site Recommendation (TSPA-SR) at YM. Forecasting long-term future climates, especially for the next 10,000 years, is highly speculative and rarely attempted. A very limited literature exists concerning the subject, largely from the British radioactive waste disposal effort. The discussion presented here is one method, among many, of establishing upper and lower bounds for future climate estimates. The method used here involves selecting a particular past climate from many past climates, as an analog for future climate. Other studies might develop a different rationale or select other past climates resulting in a different future climate analog. Revision 00 of this AMR was prepared in accordance with the ''Work Direction and Planning Document for Future Climate Analysis'' (Peterman 1999) under Interagency Agreement DE-AI08-97NV12033 with the U.S. Department of Energy (DOE). The planning document for the technical scope, content, and management of ICN 01 of this AMR is the ''Technical Work Plan for Unsaturated Zone (UZ) Flow and Transport Process Model Report'' (BSC 2001a). The scope for the TBV resolution actions in this ICN is described in the ''Technical Work Plan for: Integrated Management of Technical Product Input Department''. (BSC 2001b, Addendum B, Section 4.1).

James Houseworth

2001-10-12T23:59:59.000Z

255

E-Print Network 3.0 - america residential system Sample Search...  

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

Services Housing, Dining & Residential Services Housing, Dining... & Residential Services Housing, Dining & Residential ... Source: Balandin, Alexander- Department of...

256

Forecast Energy | Open Energy Information  

Open Energy Info (EERE)

Forecast Energy Forecast Energy Jump to: navigation, search Name Forecast Energy Address 2320 Marinship Way, Suite 300 Place Sausalito, California Zip 94965 Sector Services Product Intelligent Monitoring and Forecasting Services Year founded 2010 Number of employees 11-50 Company Type For profit Website http://www.forecastenergy.net Coordinates 37.865647°, -122.496315° 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":37.865647,"lon":-122.496315,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

257

Price forecasting for notebook computers  

E-Print Network (OSTI)

This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a series of time periods, and the rates of change in the influence...

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

258

Forecasting phenology under global warming  

Science Journals Connector (OSTI)

...Forrest Forecasting phenology under global warming Ines Ibanez 1 * Richard B. Primack...and site-specific responses to global warming. We found that for most species...climate change|East Asia, global warming|growing season, hierarchical...

2010-01-01T23:59:59.000Z

259

Demand Forecasting of New Products  

E-Print Network (OSTI)

Keeping Unit or SKU) employing attribute analysis techniques. The objective of this thesis is to improve Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock

Sun, Yu

260

Residential energy efficiency: Progress since 1973 and future potential  

Science Journals Connector (OSTI)

Today’s 85 million U.S. homes use $100 billion of fuel and electricity ($1150/home). If their energy intensity (resource energy/ft2) were still frozen at 1973 levels they would use 18% more. With well?insulated houses need for space heat is vanishing. Superinsulated Saskatchewan homes spend annually only $270 for space heat $150 for water heat and $400 for appliances yet they cost only $2000±1000 more than conventional new homes.

Arthur H. Rosenfeld

1985-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

Weather forecasting : the next generation : the potential use and implementation of ensemble forecasting  

E-Print Network (OSTI)

This thesis discusses ensemble forecasting, a promising new weather forecasting technique, from various viewpoints relating not only to its meteorological aspects but also to its user and policy aspects. Ensemble forecasting ...

Goto, Susumu

2007-01-01T23:59:59.000Z

262

Wind Forecast Improvement Project Southern Study Area Final Report...  

Office of Environmental Management (EM)

Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern...

263

Applying Bayesian Forecasting to Predict New Customers' Heating Oil Demand.  

E-Print Network (OSTI)

??This thesis presents a new forecasting technique that estimates energy demand by applying a Bayesian approach to forecasting. We introduce our Bayesian Heating Oil Forecaster… (more)

Sakauchi, Tsuginosuke

2011-01-01T23:59:59.000Z

264

Residential Enhanced Rewards Program | Department of Energy  

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

Residential Enhanced Rewards Program Residential Enhanced Rewards Program Residential Enhanced Rewards Program < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Program Info Funding Source Focus on Energy Expiration Date 05/31/2013 State Wisconsin Program Type State Rebate Program Rebate Amount Natural Gas Furnace: $475 Furnace with ECM (natural gas, propane, or oil-fired): $850 Hot-Water Boiler ( Natural Gas Furnace with AC: $1,500 Provider Focus on Energy Focus on Energy offers incentives for income-qualifying customers for the purchase of high efficiency heating equipment. Owner-occupied single-family and multifamily residences of 3 units or less are eligible for the incentives. Applicants must be able to document a gross household income of

265

Alameda Municipal Power - Residential Energy Efficiency Program |  

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

Alameda Municipal Power - Residential Energy Efficiency Program Alameda Municipal Power - Residential Energy Efficiency Program Alameda Municipal Power - Residential Energy Efficiency Program < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Program Info State California Program Type Utility Grant Program Rebate Amount Refrigerator Replacement: Up to $100 Second Refrigerator Pickup: $35 CFLs: 3 free replacement bulbs Motors: $0.18/per kWh saved Lighting: $0.20/per kWh saved HVAC: $0.22/per kWh saved Refrigeration: $0.22/per kWh saved Provider Alameda Municipal Power Alameda Municipal Power (AMP) has multiple program in place to help

266

Residential Energy Efficiency Stakeholder Meeting - Spring 2012 |  

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

Residential Energy Efficiency Stakeholder Meeting - Spring 2012 Residential Energy Efficiency Stakeholder Meeting - Spring 2012 Residential Energy Efficiency Stakeholder Meeting - Spring 2012 The U.S. Department of Energy (DOE) Building America program held the second annual Residential Energy Efficiency Stakeholder Meeting on February 29-March 2, 2012, in Austin, Texas. At this meeting, hundreds of building industry professionals came together to share their perspective on the most current innovation projects in the residential buildings sector. This meeting provided an opportunity for researchers and industry stakeholders to showcase and discuss the latest in cutting-edge, energy-efficient residential building technologies and practices. The meeting also included working sessions from each Standing Technical Committee (STC), which outlined work that will best assist in overcoming

267

User-needs study for the 1993 residential energy consumption survey  

SciTech Connect

During 1992, the Energy Information Administration (EIA) conducted a user-needs study for the 1993 Residential Energy Consumption Survey (RECS). Every 3 years, the RECS collects information on energy consumption and expenditures for various classes of households and residential buildings. The RECS is the only source of such information within EIA, and one of only a few sources of such information anywhere. EIA sent letters to more than 750 persons, received responses from 56, and held 15 meetings with users. Written responses were also solicited by notices published in the April 14, 1992 Federal Register and in several energy-related publications. To ensure that the 1993 RECS meets current information needs, EIA made a specific effort to get input from policy makers and persons needing data for forecasting efforts. These particular needs relate mainly to development of the National Energy Modeling System and new energy legislation being considered at the time of the user needs survey.

Not Available

1993-09-24T23:59:59.000Z

268

U.S. Department of Energy Workshop Report: Solar Resources and Forecasting  

SciTech Connect

This report summarizes the technical presentations, outlines the core research recommendations, and augments the information of the Solar Resources and Forecasting Workshop held June 20-22, 2011, in Golden, Colorado. The workshop brought together notable specialists in atmospheric science, solar resource assessment, solar energy conversion, and various stakeholders from industry and academia to review recent developments and provide input for planning future research in solar resource characterization, including measurement, modeling, and forecasting.

Stoffel, T.

2012-06-01T23:59:59.000Z

269

Ameren Illinois (Electric) - Residential Energy Efficiency Rebates |  

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

Ameren Illinois (Electric) - Residential Energy Efficiency Rebates Ameren Illinois (Electric) - Residential Energy Efficiency Rebates Ameren Illinois (Electric) - Residential Energy Efficiency Rebates < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Sealing Your Home Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Lighting: Purchases limited to 20 CFLs per customer per year Refrigerator/Freezer Recycling: $70 (limit of 2 per customer per program year) Program Info Funding Source Illinois Energy Efficiency Portfolio Standard (EEPS) State Illinois Program Type Utility Rebate Program Rebate Amount New Construction Builder Incentives: Contact ComEd Lighting: In-store discount

270

Farmers Electric Cooperative (Kalona) - Residential Efficiency Matching  

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

Farmers Electric Cooperative (Kalona) - Residential Efficiency Farmers Electric Cooperative (Kalona) - Residential Efficiency Matching Grant Program Farmers Electric Cooperative (Kalona) - Residential Efficiency Matching Grant Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Cooling Appliances & Electronics Commercial Lighting Lighting Commercial Heating & Cooling Program Info State Iowa Program Type Utility Grant Program Rebate Amount 50% of cost, up to $100 Provider Farmers Electric Cooperative Farmers Electric Cooperative (FEC) offers a grant program which splits the cost of simple energy efficient improvements to the home. The utility will cover 50% of the cost of eligible improvements made by the participating member. Grants are limited to $100 per year. A variety of measures and

271

Mansfield Municipal Electric Department - Residential Energy Efficiency  

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

Mansfield Municipal Electric Department - Residential Energy Mansfield Municipal Electric Department - Residential Energy Efficiency Rebate Program Mansfield Municipal Electric Department - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Maximum Rebate $100 limit per customer account for appliances purchased in the same calendar year. Program Info Expiration Date 12/31/2014 State Massachusetts Program Type Utility Rebate Program Rebate Amount Central AC: $100 Refrigerators: $100 Clothes Washing Machines: $100 Dishwashers: $75 Dehumidifiers: $50 Window Air Conditioners: $50 Provider Mansfield Municipal Electric Department Mansfield Municipal Electric Department encourages energy efficiency

272

Farmers Electric Cooperative (Kalona) - Residential Energy Efficiency  

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

Farmers Electric Cooperative (Kalona) - Residential Energy Farmers Electric Cooperative (Kalona) - Residential Energy Efficiency Rebate Program Farmers Electric Cooperative (Kalona) - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Geothermal Heat Pumps: 5 ton CFL Bulbs: 12 bulbs per year Program Info State Iowa Program Type Utility Rebate Program Rebate Amount CFL Bulbs: $2/bulb Geothermal Heat Pumps (New Construction): $350/ton Geothermal Heat Pumps (Upgrade): $700/ton Air Source Heat Pumps (New Construction): $800 Air Source Heat Pumps (Upgrade): $400 Central Air Conditioners: $100 - $200 Heat Pump Water Heaters: $400

273

Hutchinson Utilities Commission - Residential Energy Efficiency Program |  

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

Hutchinson Utilities Commission - Residential Energy Efficiency Hutchinson Utilities Commission - Residential Energy Efficiency Program Hutchinson Utilities Commission - Residential Energy Efficiency Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate 500 Program Info Expiration Date program offered until expiration of funding State Minnesota Program Type Utility Rebate Program Rebate Amount Natural Gas Furnaces: $150-$250, depending on efficiency Natural Gas Furnace Tune-up: $25 ECM Motor: $75 Natural Gas Boilers: $200 Central Air Conditioners: $250 Central Air Conditioner Tune-up: $25 Tankless Gas Water Heaters: $150 Storage Gas Water Heaters: $50 Air Source Heat Pumps: $75/ton

274

Georgia Environmental Finance Authority - Residential Energy Efficiency  

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

Georgia Environmental Finance Authority - Residential Energy Georgia Environmental Finance Authority - Residential Energy Efficiency Loan Program (Georgia) Georgia Environmental Finance Authority - Residential Energy Efficiency Loan Program (Georgia) < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Design & Remodeling Windows, Doors, & Skylights Ventilation Construction Heating Heat Pumps Water Heating Program Info State Georgia Program Type State Loan Program Rebate Amount Oglethorpe Power Corporation: $5,500 Electric Cities of Georgia: up to $5,000 Municipal Gas Authority of Georgia: up to $5,000 Estes Heating and Air (Statewide): $10,000 The Georgia Environmental Finance Authority (GEFA) encourages Georgians to

275

Better Buildings Residential Network Case Study: Partnerships  

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

Better Buildings Residential Network Case Study: Partnerships, from the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy.

276

Ameren Illinois (Gas)- Residential Energy Efficiency Rebates  

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

Ameren Illinois Utilities (AmerenIP, AmerenCIPS, and AmerenCILCO) offer residential customers incentives for certain energy efficiency upgrades and improvements. Incentives are currently available...

277

Xcel Energy (Gas)- Residential Conservation Programs  

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

Xcel Energy offers its Wisconsin residential natural gas customers rebates for high efficiency heating equipment. Currently, rebates are available for tankless and storage water heaters, furnaces,...

278

Vermont Gas- Residential Energy Efficiency Program  

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

The Equipment Replacement program offers rebates for residential customers who replace existing heating equipment or water heater with a more energy efficient one. Rebates vary depending on...

279

Kenergy- Residential Energy Efficiency Rebate Program (Kentucky)  

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

Kenergy is an electric cooperative that serves 51,000 households and commercial customers in 14 western Kentucky counties. Currently, Kenergy offers three rebate programs for residential customers...

280

Residential Buildings Integration | Department of Energy  

Office of Environmental Management (EM)

demonstrating, and deploying cost-effective solutions, BTO strives to reduce energy consumption across the residential building sector by at least 50%. Research and Development...

Note: This page contains sample records for the topic "forecasts future residential" 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

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

1 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

282

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

4 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

283

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

0 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

284

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

285

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

7 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

286

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

1 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

287

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

90 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

288

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

2 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

289

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

1 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

290

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

7 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

291

Residential Energy Efficiency Research Planning Meeting Summary...  

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

Meeting Summary Report Residential Energy Efficiency Research Planning Meeting Summary Report This report summarizes key findings and outcomes from the U.S. Department of Energy's...

292

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

2 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

293

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

7 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

294

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

0 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

295

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

2 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

296

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

4 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

297

Xcel Energy (Electric)- Residential Conservation Programs  

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

Xcel Energy offers its Wisconsin residential customers rebates for high efficiency appliances and systems. Currently, rebates are available for high efficiency electric water heaters, electric...

298

Entergy New Orleans- Residential Energy Efficiency Program  

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

Entergy New Orleans has designed an incentive program to help residential customers understand and make energy efficiency improvements in eligible homes. Incentives are geared towards both...

299

Lincoln Electric System (Residential)- Sustainable Energy Program  

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

Lincoln Electric System (LES) offers several rebates to residential customers who are interested in upgrading to energy efficient household equipment. The program includes rebates for insulation...

300

Residential Energy Star Appliance Rebate Program  

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

Energy Trust of Oregon offers rebates for Energy Star refrigerators, freezers and clothes washers to Oregon residential electric service customers of Portland General Electric (PGE) and Pacific...

Note: This page contains sample records for the topic "forecasts future residential" 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

Black Hills Power- Residential Customer Rebate Program  

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

Black Hills Power offers cash rebates to residential customers who purchase and install energy efficient equipment in their homes. Incentives exist for water heaters, demand control units, air...

302

Presentation: Better Buildings Residential Program Solution Center  

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

Presentation: Better Buildings Residential Program Solution Center, from the U.S. Department of Energy's Better Buildings Neighborhood Program, April 2014.

303

Chelan County PUD- Residential Weatherization Rebate Program  

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

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

304

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...

305

Residential Building Integration Program Overview - 2014 BTO...  

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

Building Integration Program Overview - 2014 BTO Peer Review Residential Building Integration Program Overview - 2014 BTO Peer Review Presenter: David Lee, U.S. Department of...

306

Covered Product Category: Residential Electric Resistance Water...  

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

Electric Resistance Water Heaters Covered Product Category: Residential Electric Resistance Water Heaters The Federal Energy Management Program (FEMP) sets Federal efficiency...

307

Minnesota Valley Electric Cooperative -Residential Energy Resource  

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

Minnesota Valley Electric Cooperative -Residential Energy Resource Minnesota Valley Electric Cooperative -Residential Energy Resource Conservation Loan Program Minnesota Valley Electric Cooperative -Residential Energy Resource Conservation Loan Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Manufacturing Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Minnesota Program Type Utility Loan Program Rebate Amount Heat Pump Installation: up to $5,000 Electric Water Heater and Installation: up to $5,000 Electric Heating Equipment: up to $5,000 Heat Pump Installation: up to $5,000 Weatherization: up to $1,500 Provider Minnesota Valley Electric Cooperative

308

Selling Hedge with Futures  

E-Print Network (OSTI)

trades price risk for basis risk. Once more, the basis forecast is a key to hedging with futures. Did Bill receive $5.60 per bushel for his en- tire crop? The answer depends on the quantity produced. If he produced his historical average of 24...,000 bushels, he was protected at $5.60 per bushel for the 15,000 bushels he hedged and received a price at harvest of $5.40 per bushel for the unhedged 9,000 bushels. This yields a weight- ed average price of $5.525 per bushel. Had he produced more than...

Kastens, Terry L.; Welch, Mark

2009-01-07T23:59:59.000Z

309

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

Solar Energy Market Forecast Solar Energy Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast Agency/Company /Organization: United States Department of Energy Sector: Energy Focus Area: Solar Topics: Market analysis, Technology characterizations Resource Type: Publications Website: giffords.house.gov/DOE%20Perspective%20on%20Solar%20Market%20Evolution References: Solar Energy Market Forecast[1] Summary " Energy markets / forecasts DOE Solar America Initiative overview Capital market investments in solar Solar photovoltaic (PV) sector overview PV prices and costs PV market evolution Market evolution considerations Balance of system costs Silicon 'normalization' Solar system value drivers Solar market forecast Additional resources"

310

Chapter 17: Residential Behavior Protocol  

SciTech Connect

Residential behavior-based (BB) programs use strategies grounded in the behavioral social sciences to influence household energy use. Strategies may include providing households with real-time or delayed feedback about their energy use; supplying energy-efficiency education and tips; rewarding households for reducing their energy use; comparing households to their peers; and establishing games, tournaments, and competitions. BB programs often target multiple energy end uses and encourage energy savings, demand savings, or both. Savings from BB programs are usually a small percentage of energy use, typically less than 5%.

Stewart, J.; Todd, A.

2015-01-01T23:59:59.000Z

311

An innovative educational program for residential energy efficiency. Final report  

SciTech Connect

Recognizing the importance of energy conservation, under sponsorship of the US Department of Energy, Cornell University conducted a research and demonstration project entitled An Innovative Educational Program for Residential Energy Efficiency. The research project examined the amount of residential energy that can be saved through changes in behavior and practices of household members. To encourage these changes, a workshop was offered to randomly-selected households in New York State. Two surveys were administered to household participants (Survey 1 and Survey 2, Appendix A) and a control group; and a manual was developed to convey many easy but effective ways to make a house more energy efficient (see Residential Manual, Appendix B). Implementing methods of energy efficiency will help reduce this country`s dependence on foreign energy sources and will also reduce the amount of money that is lost on inefficient energy use. Because Cornell Cooperative Extension operates as a component of the land-grant university system throughout the US, the results of this research project have been used to develop a program that can be implemented by the Cooperative Extension Service nationwide. The specific goals and objectives for this project will be outlined, the population and sample for the research will be described, and the instruments utilized for the survey will be explained. A description of the workshop and manual will also be discussed. This report will end with a summary of the results from this project and any observed changes and/or recommendations for future surveys pertaining to energy efficiency.

Laquatra, J.; Chi, P.S.K.

1996-09-01T23:59:59.000Z

312

Home ownership as wealth over the life cycle European Household Motivation for Residential Assets  

E-Print Network (OSTI)

Home ownership as wealth over the life cycle European Household Motivation for Residential Assets Current situation and future prospects INTRODUCTION Encouraging Home Ownership Most countries encourage a country's wealth and the proportion of home owners. 44 Homeownership rates in Western Europe (Source: EMF

Birmingham, University of

313

THE PENNSYLVANIA STATE UNIVERSITY HANKIN CHAIR IN RESIDENTIAL BUILDING CONSTRUCTION  

E-Print Network (OSTI)

research in the areas of residential building design and construction, sustainable buildings, energy issues in residential buildings, lifecycle analysis of buildings and related infrastructure, and sustainable landTHE PENNSYLVANIA STATE UNIVERSITY HANKIN CHAIR IN RESIDENTIAL BUILDING CONSTRUCTION The College

Guiltinan, Mark

314

AVTA: ARRA EV Project Residential Charging Infrastructure Maps  

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

The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a wide range of advanced vehicles and technologies on dynamometers, closed test tracks, and on-the-road. These results provide benchmark data that researchers can use to develop technology models and guide future research and development. The American Recovery and Reinvestment Act supported a number of projects that together made up the largest ever deployment of plug-in electric vehicles and charging infrastructure in the U.S. The following maps describe where the EV Project deployed thousands of residential chargers.

315

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Journals Connector (OSTI)

Ensemble prediction systems produce forecasts that represent the probability distribution of a continuous forecast variable. Most often, the verification problem is simplified by transforming the ensemble forecast into probability forecasts for ...

A. Allen Bradley; Stuart S. Schwartz

2011-09-01T23:59:59.000Z

316

Ozone Reductions Using Residential Building Envelopes  

SciTech Connect

Ozone is an air pollutant with that can have significant health effects and a significant source of ozone in some regions of California is outdoor air. Because people spend the vast majority of their time indoors, reduction in indoor levels of ozone could lead to improved health for many California residents. Ozone is removed from indoor air by surface reactions and can also be filtered by building envelopes. The magnitude of the envelope impact depends on the specific building materials that the air flows over and the geometry of the air flow paths through the envelope that can be changes by mechanical ventilation operation. The 2008 Residential Building Standards in California include minimum requirements for mechanical ventilation by referencing ASHRAE Standard 62.2. This study examines the changes in indoor ozone depending on the mechanical ventilation system selected to meet these requirements. This study used detailed simulations of ventilation in a house to examine the impacts of different ventilation systems on indoor ozone concentrations. The simulation results showed that staying indoors reduces exposure to ozone by 80percent to 90percent, that exhaust ventilation systems lead to lower indoor ozone concentrations, that opening of windows should be avoided at times of high outdoor ozone, and that changing the time at which mechanical ventilation occurs has the ability to halve exposure to ozone. Future work should focus on the products of ozone reactions in the building envelope and the fate of these products with respect to indoor exposures.

Walker, Iain S.; Sherman, Max; Nazaroff, William W.

2009-02-01T23:59:59.000Z

317

Residential hot water distribution systems: Roundtablesession  

SciTech Connect

Residential building practice currently ignores the lossesof energy and water caused by the poor design of hot water systems. Theselosses include: combustion and standby losses from water heaters, thewaste of water (and energy) while waiting for hot water to get to thepoint of use; the wasted heat as water cools down in the distributionsystem after a draw; heat losses from recirculation systems and thediscarded warmth of waste water as it runs down the drain. Severaltechnologies are available that save energy (and water) by reducing theselosses or by passively recovering heat from wastewater streams and othersources. Energy savings from some individual technologies are reported tobe as much as 30 percent. Savings calculations of prototype systemsincluding bundles of technologies have been reported above 50 percent.This roundtable session will describe the current practices, summarizethe results of past and ongoing studies, discuss ways to think about hotwater system efficiency, and point to areas of future study. We will alsorecommend further steps to reduce unnecessary losses from hot waterdistribution systems.

Lutz, James D.; Klein, Gary; Springer, David; Howard, Bion D.

2002-08-01T23:59:59.000Z

318

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: * Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the

319

Aggregate vehicle travel forecasting model  

SciTech Connect

This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment.

Greene, D.L.; Chin, Shih-Miao; Gibson, R. [Tennessee Univ., Knoxville, TN (United States)

1995-05-01T23:59:59.000Z

320

The future of oil: Geology versus technology  

Science Journals Connector (OSTI)

Abstract We discuss and reconcile the geological and economic/technological views concerning the future of world oil production and prices, and present a nonlinear econometric model of the world oil market that encompasses both views. The model performs far better than existing empirical models in forecasting oil prices and oil output out-of-sample. Its point forecast is for a near doubling of the real price of oil over the coming decade, though the error bands are wide, reflecting sharply differing judgments on the ultimately recoverable reserves, and on future price elasticities of oil demand and supply.

Jaromir Benes; Marcelle Chauvet; Ondra Kamenik; Michael Kumhof; Douglas Laxton; Susanna Mursula; Jack Selody

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

Residential heating conservation in Krakow  

SciTech Connect

A four-building conservation experiment was conducted in Krakow, Poland, during the 1992--1993 and 1993--1994 winters, aimed at determining potential savings of heat in typical multifamily residential buildings connected to the district heat network. Four identical multifamily buildings were selected for measurement and retrofitting. Together with the U.S. team, the local district heat utility, the Krakow development authority, and a Polish energy-efficiency foundation designed and conducted the 264-residence test of utility, building, and occupant conservation strategies during the 1992--1993 winter Baseline data were collected on each building prior to any conservation work. A different scope of work was planned and executed for each building, ranging from controls at the building level only to thermostatic valve control and weatherization. The project team has identified and demonstrated affordable and effective conservation technologies that can be applied to Krakow`s existing concrete-element residential housing. The results suggest that conservation strategies will be key to many alternatives in Krakow`s plan to eliminate low-emission air pollution sources. Conservation can allow connecting more customers to the utility network and eliminating local boilers without requiring construction of new combined heat and power plants. It can reduce heat costs for customers converting from solid-fuel heat sources to less polluting sources. By reducing heat demand, more customers can be served by existing gas and electric distribution systems.

Markel, L.C. [Electrotek Concepts, Knoxville, TN (United States); Reeves, G. [George Reeves Associates, Lake Hopatcong, NJ (United States); Gula, A.; Szydlowski, R.F. [Battelle Pacific Northwest Labs., Richland, WA (United States)

1995-08-01T23:59:59.000Z

322

Communication of uncertainty in temperature forecasts  

Science Journals Connector (OSTI)

We used experimental economics to test whether undergraduate students presented with a temperature forecast with uncertainty information in a table and bar graph format were able to use the extra information to interpret a given forecast. ...

Pricilla Marimo; Todd R. Kaplan; Ken Mylne; Martin Sharpe

323

FORECASTING THE ROLE OF RENEWABLES IN HAWAII  

E-Print Network (OSTI)

FORECASTING THE ROLE OF RENEWABLES IN HAWAII Jayant SathayeFORECASTING THE ROLF OF RENEWABLES IN HAWAII J Sa and Henrythe Conservation Role of Renewables November 18, 1980 Page 2

Sathaye, Jayant

2013-01-01T23:59:59.000Z

324

Massachusetts state airport system plan forecasts.  

E-Print Network (OSTI)

This report is a first step toward updating the forecasts contained in the 1973 Massachusetts State System Plan. It begins with a presentation of the forecasting techniques currently available; it surveys and appraises the ...

Mathaisel, Dennis F. X.

325

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Journals Connector (OSTI)

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

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

2003-02-01T23:59:59.000Z

326

Forecasting Water Use in Texas Cities  

E-Print Network (OSTI)

In this research project, a methodology for automating the forecasting of municipal daily water use is developed and implemented in a microcomputer program called WATCAL. An automated forecast system is devised by modifying the previously...

Shaw, Douglas T.; Maidment, David R.

327

Procedures and Standards for Residential Ventilation System  

E-Print Network (OSTI)

1 Procedures and Standards for Residential Ventilation System Commissioning: An Annotated, commissioning, procedures, standards, ASHRAE 62.2 Please use the following citation for this report: Stratton, J.C. and C.P. Wray. 2013. Procedures and Standards for Residential Ventilation System Commissioning

328

Tips For Residential Heating Oil Tank Owners  

E-Print Network (OSTI)

· · · · · · · · · · · · · · · · · · · · · · Tips For Residential Heating Oil Tank Owners Source: DEP Fact Sheet Residential heating oil tanks are used to store fuel for furnaces or boilers to heat homes. The tanks can either be aboveground tanks, normally located in basements or utility rooms

Maroncelli, Mark

329

SIMULATION OF RESIDENTIAL HVAC SYSTEM PERFORMANCE  

E-Print Network (OSTI)

1 LBNL-47622 SIMULATION OF RESIDENTIAL HVAC SYSTEM PERFORMANCE Walker, I., Siegel, J ..................................................... 9 #12;3 ABSTRACT In many parts of North America residential HVAC systems are installed outside of the simulations is that they are dynamic - which accounts for cyclic losses from the HVAC system and the effect

330

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

331

Redding Electric - Residential and Commercial Energy Efficiency Rebate  

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

Residential and Commercial Energy Efficiency Residential and Commercial Energy Efficiency Rebate Program Redding Electric - Residential and Commercial Energy Efficiency Rebate Program < Back Eligibility Commercial Low-Income Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Other Ventilation Manufacturing Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Maximum Rebate Windows: $250 - Residential; $750 (Commercial) Insulation: up to $500 - Residential; pre-approval required - Commercial Water Heater Blanket: $20 per unit Radiant/Thermal Barrier Material: $500 - Residential; pre-approval required - Commercial Duct Repair/Replacement: $500

332

Building Technologies Office: Residential Furnaces and Boilers Framework  

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

Residential Furnaces Residential Furnaces and Boilers Framework Meeting to someone by E-mail Share Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Facebook Tweet about Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Twitter Bookmark Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Google Bookmark Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Delicious Rank Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Digg Find More places to share Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on AddThis.com... About Standards & Test Procedures Implementation, Certification & Enforcement

333

Building Technologies Office: Partner With DOE and Residential Buildings  

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

Partner With DOE and Partner With DOE and Residential Buildings to someone by E-mail Share Building Technologies Office: Partner With DOE and Residential Buildings on Facebook Tweet about Building Technologies Office: Partner With DOE and Residential Buildings on Twitter Bookmark Building Technologies Office: Partner With DOE and Residential Buildings on Google Bookmark Building Technologies Office: Partner With DOE and Residential Buildings on Delicious Rank Building Technologies Office: Partner With DOE and Residential Buildings on Digg Find More places to share Building Technologies Office: Partner With DOE and Residential Buildings on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links

334

Philadelphia Gas Works - Residential and Commercial Construction Incentives  

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

Philadelphia Gas Works - Residential and Commercial Construction Philadelphia Gas Works - Residential and Commercial Construction Incentives Program (Pennsylvania) Philadelphia Gas Works - Residential and Commercial Construction Incentives Program (Pennsylvania) < Back Eligibility Commercial Industrial Multi-Family Residential Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Maximum Rebate Residential: $750 Commercial: $60,000 Program Info Start Date 9/1/2012 Expiration Date 8/31/2015 State Pennsylvania Program Type Utility Rebate Program Rebate Amount '''Residential''' Residential Construction: $750 '''Commercial/Industrial''' 10% to 20% to 30% above code, $40/MMBtu first-year savings Philadelphia Gas Works (PGW) provides incentives to developers, home

335

Federal Energy Management Program: Covered Product Category: Residential  

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

Residential Freezers to someone by E-mail Residential Freezers to someone by E-mail Share Federal Energy Management Program: Covered Product Category: Residential Freezers on Facebook Tweet about Federal Energy Management Program: Covered Product Category: Residential Freezers on Twitter Bookmark Federal Energy Management Program: Covered Product Category: Residential Freezers on Google Bookmark Federal Energy Management Program: Covered Product Category: Residential Freezers on Delicious Rank Federal Energy Management Program: Covered Product Category: Residential Freezers on Digg Find More places to share Federal Energy Management Program: Covered Product Category: Residential Freezers on AddThis.com... Energy-Efficient Products Federal Requirements Covered Product Categories Product Designation Process

336

Alliant Energy Interstate Power and Light (Electric) - Residential...  

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

Residential Energy Efficiency Rebate Program (Iowa) Alliant Energy Interstate Power and Light (Electric) - Residential Energy Efficiency Rebate Program (Iowa) < Back Eligibility...

337

AEP Public Service Company of Oklahoma - Non-Residential Efficiency...  

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

Non-Residential Efficiency Rebate Program AEP Public Service Company of Oklahoma - Non-Residential Efficiency Rebate Program < Back Eligibility Commercial Fed. Government...

338

Urgent Action on Energy Conservation Standards for Residential...  

Energy Savers (EERE)

Urgent Action on Energy Conservation Standards for Residential Water Heaters (Docket Number: EERE-2012-BT-STD-0022) Urgent Action on Energy Conservation Standards for Residential...

339

2014-06-25 Issuance: Energy Conservation Standards for Residential...  

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

6-25 Issuance: Energy Conservation Standards for Residential Furnace Fans; Final Rule 2014-06-25 Issuance: Energy Conservation Standards for Residential Furnace Fans; Final Rule...

340

Energy Efficiency Trends in Residential and Commercial Buildings...  

Energy Savers (EERE)

Energy Efficiency Trends in Residential and Commercial Buildings - August 2010 Energy Efficiency Trends in Residential and Commercial Buildings - August 2010 Overview of building...

Note: This page contains sample records for the topic "forecasts future residential" 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

2011 Residential Energy Efficiency Technical Update Meeting Summary...  

Energy Savers (EERE)

2011 Residential Energy Efficiency Technical Update Meeting Summary Report: Denver, Colorado - August 9-11, 2011 2011 Residential Energy Efficiency Technical Update Meeting Summary...

342

Energy Department Announces $5 Million for Residential Building...  

Office of Environmental Management (EM)

Announces 5 Million for Residential Building Energy Efficiency Research and University-Industry Partnerships Energy Department Announces 5 Million for Residential Building Energy...

343

Focus Series: Maine—Residential Direct Install Program  

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

Better Buildings Neighborhood Program Focus Series: Maine—Residential Direct Install Program: Residential Air Sealing Program Drives Maine Home Energy Savings Through the Roof.

344

Sustainable Energy Resources for Consumers Webinar on Residential...  

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

Publications Sustainable Energy Resources for Consumers (SERC) - GeothermalGround-Source Heat Pumps Residential Retrofit Program Design Guide Overview Transcript.doc Residential...

345

Covered Product Category: Residential Heat Pump Water Heaters...  

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

Residential Heat Pump Water Heaters Covered Product Category: Residential Heat Pump Water Heaters The Federal Energy Management Program (FEMP) provides acquisition guidance and...

346

El Paso Electric Company- Residential Efficiency Program (New Mexico)  

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

EPE offers incentives to residential customers in its New Mexico service territory that purchase and install high efficiency equipment for residential use. Eligible equipment includes air...

347

Residential Clothes Washers (Appendix J2) | Department of Energy  

Energy Savers (EERE)

J2) Residential Clothes Washers (Appendix J2) Standardized Templates for Reporting Test Results Residential Clothes Washer (Appendix J2).xlsx More Documents & Publications...

348

2014-04-11 Issuance: Test Procedures for Residential Clothes...  

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

Test Procedures for Residential Clothes Washers; Notice of Proposed Rulemaking 2014-04-11 Issuance: Test Procedures for Residential Clothes Washers; Notice of Proposed Rulemaking...

349

Better Buildings Residential Program - 2014 BTO Peer Review ...  

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

Residential Program - 2014 BTO Peer Review Better Buildings Residential Program - 2014 BTO Peer Review Presenter: Danielle Byrnett, U.S. Department of Energy The Better Buildings...

350

Efficient Residential Water Heaters Webinar | Department of Energy  

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

Weatherization Assistance Program Pilot Projects Efficient Residential Water Heaters Webinar Efficient Residential Water Heaters Webinar On Feb. 22, 2011, Jerone Gagliano,...

351

Better Buildings Residential Network: Lessons Learned: Peer Exchange...  

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

Network: Lessons Learned: Peer Exchange Calls Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls Better Buildings Residential Network: Lessons Learned: Peer...

352

residential sector key indicators | OpenEI  

Open Energy Info (EERE)

residential sector key indicators residential sector key indicators Dataset Summary Description This dataset is the 2009 United States Residential Sector Key Indicators and Consumption, part of the Source EIA Date Released March 01st, 2009 (5 years ago) Date Updated Unknown Keywords AEO consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon 2009 Residential Sector Key Indicators and Consumption (xls, 55.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment http://www.eia.gov/abouteia/copyrights_reuse.cfm Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote

353

Piedmont Natural Gas - Residential Equipment Efficiency Program |  

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

Piedmont Natural Gas - Residential Equipment Efficiency Program Piedmont Natural Gas - Residential Equipment Efficiency Program Piedmont Natural Gas - Residential Equipment Efficiency Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Appliances & Electronics Water Heating Maximum Rebate 2 rebates per household Program Info State North Carolina Program Type Utility Rebate Program Rebate Amount High-Efficiency Furnace: $175 Tankless Water Heater: $150 Tank Water Heater: $50 Provider Gas Technology and Energy Services Piedmont Natural Gas offers rebates on high-efficiency natural gas tankless water heaters, tank water heaters and furnaces. Customers on the 101-Residential Service rate are eligible for these rebates. Rebates are only provided for qualifying natural gas equipment that is installed to

354

Non-residential | OpenEI  

Open Energy Info (EERE)

05 05 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278105 Varnish cache server Non-residential Dataset Summary Description Natural gas consumption data from the California Energy Commission sorted by County for Residential and Non-residential from 2006 to 2009. Source California Energy Commission Date Released Unknown Date Updated Unknown Keywords annual energy consumption Energy Consumption Natural Gas Non-residential Residential Data text/csv icon Natural Gas Consumption By County (csv, 17 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006-2009 License License Other or unspecified, see optional comment below

355

Entergy Arkansas - Residential Energy Efficiency Program (Arkansas) |  

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

Entergy Arkansas - Residential Energy Efficiency Program (Arkansas) Entergy Arkansas - Residential Energy Efficiency Program (Arkansas) Entergy Arkansas - Residential Energy Efficiency Program (Arkansas) < Back Eligibility Installer/Contractor Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Construction Design & Remodeling Other Sealing Your Home Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Program Info State Arkansas Program Type Utility Rebate Program Rebate Amount $175 incentive toward the cost of a high-performance AC tune-up of a system size 5 tons or less $200 incentive toward the cost of a high-performance AC tune-up of a system size over 5 tons Tier 1 Home Energy Survey --- Survey $75 discount

356

Sustainable Energy Utility - Residential Energy Efficiency Program  

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

Sustainable Energy Utility - Residential Energy Efficiency Program Sustainable Energy Utility - Residential Energy Efficiency Program (District of Columbia) Sustainable Energy Utility - Residential Energy Efficiency Program (District of Columbia) < Back Eligibility Residential Savings Category Appliances & Electronics Commercial Lighting Lighting Program Info Start Date 01/01/2013 Expiration Date 09/30/2013 State District of Columbia Program Type Utility Rebate Program Rebate Amount Refrigerators: $50 Clothes Washers: $50 CFL Lighting: varies by in-store discounts LED Lighting: $5-$10 The District of Columbia Sustainable Energy Utility currently offers the Residential Energy Efficiency Program. The program provides incentives to residents who complete qualifying home energy upgrades. Qualifying items include refrigerators, clothes washers, LED lighting and CFL lighting

357

Southwest Electric Cooperative - Residential Energy Efficiency Rebate  

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

Southwest Electric Cooperative - Residential Energy Efficiency Southwest Electric Cooperative - Residential Energy Efficiency Rebate Program Southwest Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Cooling Maximum Rebate Geothermal Heat Pump: 10 tons for Residential, 50 tons for Commercial Energy Audit Repairs: $500 Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Geothermal Heat Pump (New Units): $750/ton Geothermal Heat Pump (Replacement Units): $200/ton Dual Fuel Heat Pump: $150/ton Room AC: $50 Energy Audit Repairs: 50% of cost Provider Southwest Electric Cooperative Southwest Electric Cooperative offers rebates to its customers that purchase energy efficient heating and air conditioning equipment . This

358

Northeastern REMC - Residential Energy Efficiency Rebate Program |  

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

Northeastern REMC - Residential Energy Efficiency Rebate Program Northeastern REMC - Residential Energy Efficiency Rebate Program Northeastern REMC - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Heating & Cooling Commercial Heating & Cooling Heat Pumps Maximum Rebate Geothermal Heat Pump: $1,000 Program Info State Indiana Program Type Utility Rebate Program Rebate Amount Geothermal Heat Pump: $100/ton or $500/unit Air Source Heat Pump: $250/unit Water Heater: $100 Provider Northeastern REMC Northeastern Rural Electric Membership Corporation (REMC) is a consumer-owned corporation that supplies electric power to more than 25,000 members in Northeastern Indiana. Northeastern REMC offers rebates to its residential customers for the purchase of geothermal heat pumps, air-source

359

Residential Building Renovations | Department of Energy  

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

Residential Building Renovations Residential Building Renovations Residential Building Renovations October 16, 2013 - 4:57pm Addthis Renewable Energy Options Residential Building Renovations Photovoltaics Daylighting Solar Water Heating Geothermal Heat Pumps (GHP) Biomass Heating In some circumstances, Federal agencies may face construction or renovation of residential units, whether single-family, multi-family, barracks, or prisons. Based on typical domestic energy needs, solar water heating and photovoltaic systems are both options, depending on the cost of offset utilities. These systems can be centralized for multi-family housing to improve system economics. Daylighting can reduce energy costs and increase livability of units. Geothermal heat pumps (GHP) are a particularly cost-effective option in

360

Groton Utilities - Residential Energy Efficiency Rebate Program |  

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

Groton Utilities - Residential Energy Efficiency Rebate Program Groton Utilities - Residential Energy Efficiency Rebate Program Groton Utilities - Residential Energy Efficiency Rebate Program < Back Eligibility Low-Income Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Program Info State Connecticut Program Type Utility Rebate Program Rebate Amount Compact Fluorescent Bulbs: Free While Supplies Last Insulation: $0.50/sq ft Heat Pump Water Heater: Up to $500 HVAC Controls: $250/unit Single Package/Split System Unitary AC: $250/ton Air-Source Heat Pump: $250/ton Water-Source Heat Pump: $150/ton Home Energy Savings Program: Free for Electric Customers

Note: This page contains sample records for the topic "forecasts future residential" 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

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

Accurate forecasting of energy demand plays a key role for utility companies, network operators, producers and suppliers of energy. Demand forecasts are utilized for unit commitment, market bidding, network operation and maintenance, integration of renewable ... Keywords: analytics, energy demand forecasting, machine learning, renewable energy sources, smart grids, smart meters

Mathieu Sinn

2014-06-01T23:59:59.000Z

362

Consensus Coal Production And Price Forecast For  

E-Print Network (OSTI)

Consensus Coal Production And Price Forecast For West Virginia: 2011 Update Prepared for the West December 2011 © Copyright 2011 WVU Research Corporation #12;#12;W.Va. Consensus Coal Forecast Update 2011 i Table of Contents Executive Summary 1 Recent Developments 3 Consensus Coal Production And Price Forecast

Mohaghegh, Shahab

363

Real time forecasting of near-future evolution  

Science Journals Connector (OSTI)

...evolving populations, each with a non-renewable supply of 96 beneficial mutations that...G. Callan, Jr, and M. Lassig 2008 Energy-dependent fitness: a quantitative model...Department of Biology, University of New Mexico, Albuquerque, NM 87131, USA. pgerrish...

2012-01-01T23:59:59.000Z

364

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Evaluation Evaluation Annual Energy Outlook Forecast Evaluation by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the impacts were not incorporated in the AEO projections until their enactment or effective dates in accordance with EIA's requirement to remain policy neutral and include only current laws and regulations in the AEO reference case projections.

365

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation Analysis Papers > Annual Energy Outlook Forecast Evaluation Release Date: February 2005 Next Release Date: February 2006 Printer-friendly version Annual Energy Outlook Forecast Evaluation* Table 1.Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Printer Friendly Version Average Absolute Percent Error Variable AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 AEO82 to AEO2004 Consumption Total Energy Consumption 1.9 2.0 2.1 2.1 2.1 2.1 Total Petroleum Consumption 2.9 3.0 3.1 3.1 3.0 2.9 Total Natural Gas Consumption 7.3 7.1 7.1 6.7 6.4 6.5 Total Coal Consumption 3.1 3.3 3.5 3.6 3.7 3.8 Total Electricity Sales 1.9 2.0 2.3 2.3 2.3 2.4 Production Crude Oil Production 4.5 4.5 4.5 4.5 4.6 4.7

366

Load Forecasting of Supermarket Refrigeration  

E-Print Network (OSTI)

energy system. Observed refrigeration load and local ambient temperature from a Danish su- permarket renewable energy, is increasing, therefore a flexible energy system is needed. In the present ThesisLoad Forecasting of Supermarket Refrigeration Lisa Buth Rasmussen Kongens Lyngby 2013 M.Sc.-2013

367

Essays on macroeconomics and forecasting  

E-Print Network (OSTI)

explanatory variables. Compared to Stock and Watson (2002)�s models, the models proposed in this chapter can further allow me to select the factors structurally for each variable to be forecasted. I find advantages to using the structural dynamic factor...

Liu, Dandan

2006-10-30T23:59:59.000Z

368

Forecasting Solar Wind Speeds  

E-Print Network (OSTI)

By explicitly taking into account effects of Alfven waves, I derive from a simple energetics argument a fundamental relation which predicts solar wind (SW) speeds in the vicinity of the earth from physical properties on the sun. Kojima et al. recently found from their observations that a ratio of surface magnetic field strength to an expansion factor of open magnetic flux tubes is a good indicator of the SW speed. I show by using the derived relation that this nice correlation is an evidence of the Alfven wave which accelerates SW in expanding flux tubes. The observations further require that fluctuation amplitudes of magnetic field lines at the surface should be almost universal in different coronal holes, which needs to be tested by future observations.

Takeru K. Suzuki

2006-02-03T23:59:59.000Z

369

An Optimized Autoregressive Forecast Error Generator for Wind and Load Uncertainty Study  

SciTech Connect

This paper presents a first-order autoregressive algorithm to generate real-time (RT), hour-ahead (HA), and day-ahead (DA) wind and load forecast errors. The methodology aims at producing random wind and load forecast time series reflecting the autocorrelation and cross-correlation of historical forecast data sets. Five statistical characteristics are considered: the means, standard deviations, autocorrelations, and cross-correlations. A stochastic optimization routine is developed to minimize the differences between the statistical characteristics of the generated time series and the targeted ones. An optimal set of parameters are obtained and used to produce the RT, HA, and DA forecasts in due order of succession. This method, although implemented as the first-order regressive random forecast error generator, can be extended to higher-order. Results show that the methodology produces random series with desired statistics derived from real data sets provided by the California Independent System Operator (CAISO). The wind and load forecast error generator is currently used in wind integration studies to generate wind and load inputs for stochastic planning processes. Our future studies will focus on reflecting the diurnal and seasonal differences of the wind and load statistics and implementing them in the random forecast generator.

De Mello, Phillip; Lu, Ning; Makarov, Yuri V.

2011-01-17T23:59:59.000Z

370

Forecasting-based SKU classification  

Science Journals Connector (OSTI)

Different spare parts are associated with different underlying demand patterns, which in turn require different forecasting methods. Consequently, there is a need to categorise stock keeping units (SKUs) and apply the most appropriate methods in each category. For intermittent demands, Croston's method (CRO) is currently regarded as the standard method used in industry to forecast the relevant inventory requirements; this is despite the bias associated with Croston's estimates. A bias adjusted modification to CRO (Syntetos–Boylan Approximation, SBA) has been shown in a number of empirical studies to perform very well and be associated with a very ‘robust’ behaviour. In a 2005 article, entitled ‘On the categorisation of demand patterns’ published by the Journal of the Operational Research Society, Syntetos et al. (2005) suggested a categorisation scheme, which establishes regions of superior forecasting performance between CRO and SBA. The results led to the development of an approximate rule that is expressed in terms of fixed cut-off values for the following two classification criteria: the squared coefficient of variation of the demand sizes and the average inter-demand interval. Kostenko and Hyndman (2006) revisited this issue and suggested an alternative scheme to distinguish between CRO and SBA in order to improve overall forecasting accuracy. Claims were made in terms of the superiority of the proposed approach to the original solution but this issue has never been assessed empirically. This constitutes the main objective of our work. In this paper the above discussed classification solutions are compared by means of experimentation on more than 10,000 \\{SKUs\\} from three different industries. The results enable insights to be gained into the comparative benefits of these approaches. The trade-offs between forecast accuracy and other implementation related considerations are also addressed.

G. Heinecke; A.A. Syntetos; W. Wang

2013-01-01T23:59:59.000Z

371

Residential solar home resale analysis  

SciTech Connect

One of the determinants of the market acceptance of solar technologies in the residential housing sector is the value placed upon the solar property at the time of resale. The resale factor is shown to be an important economic parameter when net benefits of the solar design are considered over a typical ownership cycle rather than the life cycle of the system. Although a study of solar resale in Davis, Ca, indicates that those particular homes have been appreciating in value faster than nonsolar market comparables, no study has been made that would confirm this conclusion for markets in other geograhical locations with supporting tests of statistical significance. The data to undertake such an analysis is available through numerous local sources; however, case by case data collection is prohibitively expensive. A recommended alternative approach is to make use of real estate market data firms who compile large data bases and provide multi-variate statistical analysis packages.

Noll, S.A.

1980-01-01T23:59:59.000Z

372

Analysis and Synthesis of Load Forecasting Data for Renewable Integration Studies: Preprint  

SciTech Connect

As renewable energy constitutes greater portions of the generation fleet, the importance of modeling uncertainty as part of integration studies also increases. In pursuit of optimal system operations, it is important to capture not only the definitive behavior of power plants, but also the risks associated with systemwide interactions. This research examines the dependence of load forecast errors on external predictor variables such as temperature, day type, and time of day. The analysis was utilized to create statistically relevant instances of sequential load forecasts with only a time series of historic, measured load available. The creation of such load forecasts relies on Bayesian techniques for informing and updating the model, thus providing a basis for networked and adaptive load forecast models in future operational applications.

Steckler, N.; Florita, A.; Zhang, J.; Hodge, B. M.

2013-11-01T23:59:59.000Z

373

Residential Loan Fund | Department of Energy  

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

You are here You are here Home » Residential Loan Fund Residential Loan Fund < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Cooling Appliances & Electronics Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Bioenergy Solar Maximum Rebate $20,000 Program Info Funding Source System Benefits Charge (SBC) Start Date 11/10/2009 (current offering) State New York Program Type State Loan Program Rebate Amount Varies Provider New York State Energy Research and Development Authority '''''The New York State Energy Research and Development Authority (NYSERDA) has extended the Participation Agreements of the Assisted Home Performance

374

Air Barriers for Residential and Commercial Buildings  

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

Air Barriers for Residential and Air Barriers for Residential and Commercial Buildings Diana Hun, PhD Oak Ridge National Laboratory dehun@ornl.gov 865-574-5139 April 4, 2013 BTO Program Peer Review 2 | Building Technologies Office eere.energy.gov Problem Statement & Project Focus - Air leakage is a significant contributor to HVAC loads - ~50% in residential buildings (Sherman and Matson 1997) - ~33% of heating loads in office buildings (Emmerich et al. 2005) - Airtightness of buildings listed in BTO prioritization tool

375

Air Barriers for Residential and Commercial Buildings  

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

Air Barriers for Residential and Air Barriers for Residential and Commercial Buildings Diana Hun, PhD Oak Ridge National Laboratory dehun@ornl.gov 865-574-5139 April 4, 2013 BTO Program Peer Review 2 | Building Technologies Office eere.energy.gov Problem Statement & Project Focus - Air leakage is a significant contributor to HVAC loads - ~50% in residential buildings (Sherman and Matson 1997) - ~33% of heating loads in office buildings (Emmerich et al. 2005) - Airtightness of buildings listed in BTO prioritization tool

376

Electricity and Natural Gas Efficiency Improvements for Residential Gas  

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

and Natural Gas Efficiency Improvements for Residential Gas and Natural Gas Efficiency Improvements for Residential Gas Furnaces in the U.S. Title Electricity and Natural Gas Efficiency Improvements for Residential Gas Furnaces in the U.S. Publication Type Report LBNL Report Number LBNL-59745 Year of Publication 2006 Authors Lekov, Alexander B., Victor H. Franco, Stephen Meyers, James E. McMahon, Michael A. McNeil, and James D. Lutz Document Number LBNL-59745 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract This paper presents analysis of the life-cycle costs for individual households and the aggregate energy and economic impacts from potential energy efficiency improvements in U.S. residential furnaces. Most homes in the US are heated by a central furnace attached to ducts for distributing heated air and fueled by natural gas. Electricity consumption by a furnace blower is significant, comparable to the annual electricity consumption of a major appliance. Since the same blower unit is also used during the summer to circulate cooled air in centrally air conditioned homes, electricity savings occur year round. Estimates are provided of the potential electricity savings from more efficient fans and motors. Current regulations require new residential gas-fired furnaces (not including mobile home furnaces) to meet or exceed 78% annual fuel utilization efficiency (AFUE), but in fact nearly all furnaces sold are at 80% AFUE or higher. The possibilities for higher fuel efficiency fall into two groups: more efficient non-condensing furnaces (81% AFUE) and condensing furnaces (90-96% AFUE). There are also options to increase the efficiency of the furnace blower. This paper reports the projected national energy and economic impacts of requiring higher efficiency furnaces in the future. Energy savings vary with climate, with the result that condensing furnaces offer larger energy savings in colder climates. The range of impacts for a statistical sample of households and the percent of households with net savings in life cycle cost are shown. Gas furnaces are somewhat unusual in that the technology does not easily permit incremental change to the AFUE above 80%. Achieving significant energy savings requires use of condensing technology, which yields a large efficiency gain (to 90% or higher AFUE), but has a higher cost. With respect to electricity efficiency design options, the ECM has a negative effect on the average LCC. The current extra cost of this technology more than offsets the sizable electricity savings.

377

Market Transformation Efforts for Residential Energy Efficient Windows: An  

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

Market Transformation Efforts for Residential Energy Efficient Windows: An Market Transformation Efforts for Residential Energy Efficient Windows: An Update of National Activities Title Market Transformation Efforts for Residential Energy Efficient Windows: An Update of National Activities Publication Type Report LBNL Report Number LBNL-46620 Year of Publication 2000 Authors Ward, Alecia, Margaret Suozzo, and Joseph H. Eto Date Published 01/2000 Publisher LBNL Abstract With the burst of recent initiatives to accelerate adoption of energy-efficient fenestration technologies in the marketplace, an update on window market transformation efforts is needed. Because of the impact of glazing on total home energy performance, the residential window market has received increasing attention over the past two years. National programs such as the ENERGY STAR Windows program, the Efficient Windows Collaborative, and regional initiatives such as the California Windows Initiative and the Northwest Collaborative have begun to move markets toward higher-efficiency windows. The results have included increasing sales of efficient products, stocking of more efficient/ENERGY STAR qualifying products, and price reductions of high-efficiency product, all of which secure dramatic energy savings at a national level. This paper takes stock of publicly supported national and regional transformation efforts for residential windows underway in the U.S. In particular, it documents ways in which National Fenestration Rating Council certification, Efficient Windows Collaborative education, and ENERGY STAR marketing, are working together to change window markets across the United States. Although it is too early to quantify the national-level impacts changes of these efforts, the authors offer a preliminary qualitative evaluation of efficient window promotion efforts to gain insight into the broader impacts that these and other future activities will achieve. Finally, the paper summarizes how other federally-funded building industry initiatives that emphasize "whole house" performance can complement these window technology-specific and component-specific initiatives. Demonstration houses from the Building America, ENERGY STAR Homes, and PATH projects all contribute to the success of windows-specific initiatives.

378

Better Buildings Residential Program Solution Center Demonstration Webinar  

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

Demonstration webinar slides for Better Buildings Residential Program Solution Center, November 19, 2014.

379

Guide for Benchmarking Residential Energy Efficiency Program Progress  

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

Guide for Benchmarking Residential Energy Efficiency Program Progress as part of the DOE Better Buildings Program.

380

Energy Efficiency & On-Bill Financing for Samll Business & Residential  

Office of Energy Efficiency and Renewable Energy (EERE)

Details on Connecticut Energy Efficiency Fund and its benefits to small businesses and residential customers.

Note: This page contains sample records for the topic "forecasts future residential" 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

DOE Publishes Supplemental Proposed Determination for Miscellaneous Residential Refrigeration Products  

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

The Department of Energy has published a supplemental proposed determination regarding miscellaneous residential refrigeration products.

382

National Grid (Electric) - Residential Energy Efficiency Rebate Programs  

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

National Grid (Electric) - Residential Energy Efficiency Rebate National Grid (Electric) - Residential Energy Efficiency Rebate Programs (Upstate New York) National Grid (Electric) - Residential Energy Efficiency Rebate Programs (Upstate New York) < Back Eligibility Installer/Contractor Multi-Family Residential Residential Savings Category Other Commercial Weatherization Manufacturing Appliances & Electronics Program Info State New York Program Type Utility Rebate Program Rebate Amount Refrigerator Recycling: $30 Multifamily Energy Evaluation: Free assessment, installation of up to ten CFLs/unit, water efficiency measures, hot water pipe and tank wrap, and a $300 rebate for refrigerator replacement costs. Provider National Grid Residential Upstate Efficiency Programs National Grid residential electric customers in Upstate New York are

383

EWEB - Residential Energy Efficiency Loan Programs | Department of Energy  

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

EWEB - Residential Energy Efficiency Loan Programs EWEB - Residential Energy Efficiency Loan Programs EWEB - Residential Energy Efficiency Loan Programs < Back Eligibility Multi-Family Residential Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heating & Cooling Commercial Heating & Cooling Heat Pumps Windows, Doors, & Skylights Maximum Rebate Ductwork: not specified Thermostats: not specified Ductless Heat Pump: $4,000 Air Source Heat Pump: $7,000 Geothermal Heat Pump: $8,000 Air Sealing: up to $800 Program Info State Oregon Program Type Utility Loan Program Utility Loan Program Rebate Amount Windows and Insulation: not specified Ductwork: not specified

384

New Mexico Gas Company - Residential Efficiency Programs | Department of  

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

Residential Efficiency Programs Residential Efficiency Programs New Mexico Gas Company - Residential Efficiency Programs < Back Eligibility Construction Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Appliances & Electronics Water Heating Maximum Rebate Insulation: $500 Program Info State New Mexico Program Type Utility Rebate Program Rebate Amount ENERGY STAR Qualifying Home: $750 New Mexico Energy$mart Income Qualifying Weatherization: Free Tankless Water Heater: $300 Insulation: 25% of cost up to $500 The New Mexico Gas Company provides incentives for energy saving measures and improvements to residential homes. Rebates are available for adding

385

El Paso Electric Company - Residential Solutions Program | Department of  

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

Residential Solutions Program Residential Solutions Program El Paso Electric Company - Residential Solutions Program < Back Eligibility Installer/Contractor Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Windows, Doors, & Skylights Program Info State Texas Program Type Utility Rebate Program Rebate Amount Residential Solutions Program: $425/kW saved Low-Income Solutions Program: $576/kW saved Provider El Paso Electric Company '''The El Paso Electric Residential Solutions Program funding has been expended in Texas for 2012. New funding will be available January 1, 2013. ''' The El Paso Electric Residential Solutions Program offers El Paso Electric

386

EWEB - Residential Energy Efficiency Rebate Programs | Department of Energy  

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

EWEB - Residential Energy Efficiency Rebate Programs EWEB - Residential Energy Efficiency Rebate Programs EWEB - Residential Energy Efficiency Rebate Programs < Back Eligibility Low-Income Residential Residential Low-Income Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Program Info State Oregon Program Type Utility Rebate Program Utility Rebate Program Rebate Amount Refrigerator/Freezer Recycling: $30 Electric Water Heater: $25 - $75 Heat Pump Water Heater: $25 Ductless Heat Pumps: $1,000 - $1,500 Air Source Heat Pump: $1,000

387

Texas-New Mexico Power Company - Residential Energy Efficiency Programs  

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

Texas-New Mexico Power Company - Residential Energy Efficiency Texas-New Mexico Power Company - Residential Energy Efficiency Programs (Texas) Texas-New Mexico Power Company - Residential Energy Efficiency Programs (Texas) < Back Eligibility Low-Income Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Other Sealing Your Home Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Insulation Design & Remodeling Water Heating Windows, Doors, & Skylights Maximum Rebate 20% of TNMP's annual Residential Standard Offer Program incentive budget Program Info State Texas Program Type Utility Rebate Program Rebate Amount Energy Star Rated Home Builders: Custom Residential Large and Small Projects: $260; $0.08/kWh reduction

388

Ocean indicators Current knowledge and future directions  

E-Print Network (OSTI)

Ocean indicators Current knowledge and future directions Brian Burke, NOAA Fisheries Brian.Burke@noaa.gov #12;· Review of ocean indicator work · Forecasting · Indicator gaps and the importance of mechanistic understanding · Plugging in to management #12;Haeseker et al. 2012 Ocean survival is low and variable #12;-10 -5

389

High Performance Windows Volume Purchase: For Residential Buyers  

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

Residential Buyers to someone by E-mail Residential Buyers to someone by E-mail Share High Performance Windows Volume Purchase: For Residential Buyers on Facebook Tweet about High Performance Windows Volume Purchase: For Residential Buyers on Twitter Bookmark High Performance Windows Volume Purchase: For Residential Buyers on Google Bookmark High Performance Windows Volume Purchase: For Residential Buyers on Delicious Rank High Performance Windows Volume Purchase: For Residential Buyers on Digg Find More places to share High Performance Windows Volume Purchase: For Residential Buyers on AddThis.com... Home About For Builders For Residential Buyers For Light Commercial Buyers For Manufacturers For Utilities Information Resources For Residential Buyers Both home owners and buyers can take advantage of the energy savings from

390

Forecasting wind speed financial return  

E-Print Network (OSTI)

The prediction of wind speed is very important when dealing with the production of energy through wind turbines. In this paper, we show a new nonparametric model, based on semi-Markov chains, to predict wind speed. Particularly we use an indexed semi-Markov model that has been shown to be able to reproduce accurately the statistical behavior of wind speed. The model is used to forecast, one step ahead, wind speed. In order to check the validity of the model we show, as indicator of goodness, the root mean square error and mean absolute error between real data and predicted ones. We also compare our forecasting results with those of a persistence model. At last, we show an application of the model to predict financial indicators like the Internal Rate of Return, Duration and Convexity.

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

391

NREL: Buildings Research - Residential Buildings Research Staff  

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

Residential Buildings Research Staff Residential Buildings Research Staff Members of the Residential Buildings research staff have backgrounds in architectural, civil, electrical, environmental, and mechanical engineering, as well as environmental design and physics. Ren Anderson Dennis Barley Chuck Booten Jay Burch Sean Casey Craig Christensen Dane Christensen Lieko Earle Cheryn Engebrecht Mike Gestwick Mike Heaney Scott Horowitz Kate Hudon Xin Jin Noel Merket Tim Merrigan David Roberts Joseph Robertson Stacey Rothgeb Bethany Sparn Paulo Cesar Tabares-Velasco Jeff Tomerlin Jon Winkler Jason Woods Support Staff Marcia Fratello Kristy Usnick Photo of Ren Anderson Ren Anderson, Ph.D., Manager, Residential Research Group ren.anderson@nrel.gov Research Focus: Evaluating the whole building benefits of emerging building energy

392

Marblehead Municipal Light Department - Residential Energy Efficiency  

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

Marblehead Municipal Light Department - Residential Energy Marblehead Municipal Light Department - Residential Energy Efficiency Rebate Program Marblehead Municipal Light Department - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Maximum Rebate Insulation: $1,600 Program Info State Massachusetts Program Type Utility Rebate Program Rebate Amount Refrigerators: $100, plus $25 for disposal of old refrigerator Clothes Washers: $50 - $100 Dishwashers: $25 - $50 Room A/C Units: 50% of purchase price up to $50 Central A/C: $325 - $525, varies by efficiency and technology Heat Pumps: $325 - $675, varies by efficiency and technology Programmable Thermostat: up to 50% of the purchase price

393

Minnesota Valley Electric Cooperative - Residential Energy Efficiency  

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

Minnesota Valley Electric Cooperative - Residential Energy Minnesota Valley Electric Cooperative - Residential Energy Efficiency Rebate Program Minnesota Valley Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Appliances & Electronics Heat Pumps Maximum Rebate Ground-Source Heat Pump: 5 ton maximum Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Clothes Washer: $25 Freezer/Refrigerator: $25 Dishwasher: $25 Air-Source Heat Pump: $500 Ground-Source Heat Pump: $200 per ton Electric Resistant Heating Products: $10 per kW Mini-Split Heat Pumps: $75 Central A/C or Heat Pump Tune-Up: $25 Provider Minnesota Valley Electric Cooperative Minnesota Valley Electric Cooperative (MVEC) offers financial incentives to

394

Shrewsbury Electric - Residential Energy Efficiency Rebate Program |  

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

Shrewsbury Electric - Residential Energy Efficiency Rebate Program Shrewsbury Electric - Residential Energy Efficiency Rebate Program Shrewsbury Electric - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Program Info Expiration Date 12/31/2012 State Massachusetts Program Type Utility Rebate Program Rebate Amount Clothes Washer: $50 Refrigerator: $50 Dish Washer: $50 Room Air Conditioner: $25 Provider EFI In collaboration with EFI, Shrewsbury Electric offers rebates on ENERGY STAR appliances. Eligible products include washing machines, dishwashers, refrigerators, and room air conditioners. Customers will need to fill out an appliance mail-in rebate form that can be obtained at the Town Hall or on the Town of Shrewsbury web site. Information will be required including

395

American Municipal Power (Public Electric Utilities) - Residential  

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

American Municipal Power (Public Electric Utilities) - Residential American Municipal Power (Public Electric Utilities) - Residential Efficiency Smart Program (Ohio) American Municipal Power (Public Electric Utilities) - Residential Efficiency Smart Program (Ohio) < Back Eligibility Residential Savings Category Heating & Cooling Cooling Appliances & Electronics Commercial Lighting Lighting Water Heating Program Info Funding Source American Municipal Power Start Date 01/2011 Expiration Date 12/31/2013 State Ohio Program Type Utility Rebate Program Rebate Amount Ceiling Fan with Lights: $15 Dehumidifier: $25 Select Clothes Washer: $50 ENERGY STAR Refrigerator: $50 Refrigerator/Freezer Recycling: $50 Furnace Fan with ECM: $100 Heat Pump Water Heaters: $250 CFLs: up to 85% of cost Efficiency Smart (tm) provides energy efficiency incentives to the American

396

Fact Sheet: Better Buildings Residential Network  

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

Sheet Sheet BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.gov/bbrn What Is the Residential Network? The Better Buildings Residential Network connects energy efficiency programs and partners to share best practices and learn from one another to dramatically increase the number of American homes that are energy efficient. Since 2010, the U.S. Department of Energy (DOE), local Better Buildings Neighborhood Program partners, and Home Performance with ENERGY STAR ® Sponsors have leveraged over $1 billion in federal funding and local resources to build more energy-efficient communities. DOE is now expanding this network of residential energy efficiency programs and partners to new members. Who Should Join? Network membership is open to all organizations that are committed to accelerating the pace of energy

397

Residential Solar Tax Credit | Department of Energy  

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

Solar Tax Credit Solar Tax Credit Residential Solar Tax Credit < Back Eligibility Multi-Family Residential Residential Savings Category Solar Buying & Making Electricity Heating & Cooling Commercial Heating & Cooling Heating Water Heating Maximum Rebate 5,000 for solar-energy systems Program Info Start Date 01/01/1998 (solar electric); 01/01/2006 (solar thermal) State New York Program Type Personal Tax Credit Rebate Amount 25% for solar-electric (PV) and solar-thermal systems; for third-party owned systems this is in reference to the aggregate amount owed under the contract rather than the amount owed in any single year Provider New York State Department of Taxation and Finance Enacted in August 1997, this personal income tax credit originally applied to expenditures on solar-electric (PV) equipment used on residential

398

Asian residential segregation in Houston, Texas  

E-Print Network (OSTI)

and Asians as it did previously for European immigrant groups, but does not apply to African Americans. 6 Previous research on Asian residential segregation has mostly focused on the broad racial category of the Asian population instead...

Yoon, Bo Hee

2009-06-02T23:59:59.000Z

399

Oklahoma Natural Gas- Residential Efficiency Rebates (Oklahoma)  

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

To encourage customers to install high-efficiency natural gas equipment in homes, Oklahoma Natural Gas offers rebates to residential customers and builders for furnace, water heating, or space...

400

Addressing endogeneity in residential location models  

E-Print Network (OSTI)

Some empirical residential location choice models have reported dwelling-unit price estimated parameters that are small, not statistically significant, or even positive. This would imply that households are non-sensitive ...

Guevara-Cue, Cristián Angelo

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

The College Station Residential Energy Compliance Code  

E-Print Network (OSTI)

The City of College Station, Texas adopted a new residential Energy Compliance Code in January, 1988. The code, which strengthens compliance requirements in several areas, has received broadly based support and acceptance from all major constituent...

Claridge, D. E.; Schrock, D.

1988-01-01T23:59:59.000Z

402

Turkish residential real estate investment analysis  

E-Print Network (OSTI)

This paper examines the investment potential for Turkish Residential Real Estate Market, focusing mainly on Istanbul. With a stable economy since 2002, dynamic population, geo-political location and the potential accession ...

Ciller, Berk (Berk U.)

2007-01-01T23:59:59.000Z

403

State Residential Commercial Industrial Transportation Total  

Gasoline and Diesel Fuel Update (EIA)

schedules 4A-D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total 2012 Total Electric Industry- Average Retail Price (centskWh) (Data from...

404

Stronger Manufacturers' Energy Efficiency Standards for Residential...  

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

2006 - 11:09am Addthis WASHINGTON, DC -- To increase the energy efficiency of residential air conditioners, the U.S. Department of Energy (DOE) has issued new manufacturing...

405

,"New York Natural Gas Residential Consumption (MMcf)"  

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

,,"(202) 586-8800",,,"182015 12:45:53 PM" "Back to Contents","Data 1: New York Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010NY2" "Date","New...

406

Covered Product Category: Residential Electric Resistance Water...  

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

with capacities of 20 to 120 gallons and maximum energy input of 12 kW. Residential heat pump and gas storage-type water heaters are covered by ENERGY STAR. Boilers, swimming...

407

Property Tax Exemption for Residential Solar Systems  

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

[http://www.nmlegis.gov/Sessions/10%20Regular/final/HB0233.pdf HB 233 of 2010] exempted residential solar energy systems from property tax assessments. According to state law, for the purposes of...

408

Effects of Federal Residential Energy Conservation Programs  

Science Journals Connector (OSTI)

...fiberglass 2. Improve jacket insulation thermal con ductivity a) 2...setting 5.6'C 4. Add insulation to distribution pipe...Assumed improvements in thermal integrities for residential...sulfur removal from power plants, strip-mine reclamation...

Eric Hirst; Janet Carney

1978-02-24T23:59:59.000Z

409

Residential Refrigerator Recycling Ninth Year Retention Study  

E-Print Network (OSTI)

Residential Refrigerator Recycling Ninth Year Retention Study Study ID Nos. 546B, 563 Prepared RECYCLING PROGRAMS Study ID Nos. 546B and 563 Prepared for Southern California Edison Rosemead, California

410

Modeling of Residential Attics with Radiant Barriers  

E-Print Network (OSTI)

This paper gives a summary of the efforts at ORNL in modeling residential attics with radiant barriers. Analytical models based on a system of macroscopic heat balances have been developed. Separate models have been developed for horizontal radiant...

Wilkes, K. E.

1988-01-01T23:59:59.000Z

411

Lumbee River EMC- Residential Weatherization Loan Program  

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

Lumbee River Electric Membership Corporation (LREMC) offers low interest loans to help its residential members increase the energy efficiency of their homes. Loans up to $10,000 are available for...

412

Residential heating oil prices virtually unchanged  

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

4 Residential heating oil price decreases The average retail price for home heating oil fell 3.1 cents from a week ago to 4.20 per gallon. That's up 13.6 cents from a year ago,...

413

Residential heating oil prices virtually unchanged  

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

0, 2014 Residential heating oil price decreases The average retail price for home heating oil fell 1.9 cents from a week ago to 4.23 per gallon. That's up 5.1 cents from a year...

414

Residential heating oil prices virtually unchanged  

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

5, 2014 Residential heating oil price decreases The average retail price for home heating oil fell 1.6 cents from a week ago to 4.23 per gallon. That's up 14.9 cents from a year...

415

Residential heating oil prices virtually unchanged  

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

9, 2014 Residential heating oil price decreases The average retail price for home heating oil fell 7.2 cents from a week ago to 4.12 per gallon. That's up 9.4 cents from a year...

416

Residential heating oil prices virtually unchanged  

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

4 Residential heating oil prices virtually unchanged The average retail price for home heating oil rose 2-tenths of a cent from a week ago to 4.24 per gallon. That's up 8.2 cents...

417

Chicopee Electric Light- Residential Solar Rebate Program  

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

Chicopee Electric Light offered rebates to residential customers who install solar photovoltaic systems on their homes. Customer rebates are $0.50 per watt for a maximum of $2,500 per installation.

418

Development of a Residential Integrated Ventilation Controller  

E-Print Network (OSTI)

M. , Charvat, K. 2004. “Solar Chimneys for ResidentialStudy of Performance of Solar Chimney with Air-conditionedM.S. 1994. “A Study of Solar Chimney Assisted Wind Towed

Walker, Iain

2013-01-01T23:59:59.000Z

419

Residential Energy Consumption Survey (RECS) - Energy Information...  

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

Heating and cooling no longer majority of U.S. home energy use Pie chart of energy consumption in homes by end uses Source: U.S. Energy Information Administration, Residential...

420

Residential photovoltaic worth : a summary assessment  

E-Print Network (OSTI)

Two critical perspectives have been addressed by the analyses of residential photovoltaic worth. For the researcher and designer have been established allowable costs. For the homeowner and institutional decision-makers ...

Dinwoodie, Thomas L.

1982-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

Membership Criteria: Better Buildings Residential network  

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

Criteria Criteria BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.gov/bbrn Better Buildings Residential Network (BBRN) members must be supportive of residential energy efficiency and the mission of the BBRN. Members are expected to be legally incorporated organizations or institutions, rather than individuals, actively engaged in the field of existing residential building energy efficiency with an ability to impact the market. Members should have the ability and capacity to carry out the requirements for membership (i.e., reporting the annual number of upgrades in their sphere of influence, and associated benefits), and actively engage as a member. Members must actively engage in significant work supporting, studying, researching, reporting, and/or

422

Development of a Residential Integrated Ventilation Controller  

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

Development of a Residential Integrated Ventilation Controller Development of a Residential Integrated Ventilation Controller Title Development of a Residential Integrated Ventilation Controller Publication Type Report LBNL Report Number LBNL-5554E Year of Publication 2012 Authors Walker, Iain S., Max H. Sherman, and Darryl J. Dickerhoff Keywords ashrae standard 62,2, california title 24, residential ventilation, ventilation controller Abstract The goal of this study was to develop a Residential Integrated Ventilation Controller (RIVEC) to reduce the energy impact of required mechanical ventilation by 20%, maintain or improve indoor air quality and provide demand response benefits. This represents potential energy savings of about 140 GWh of electricity and 83 million therms of natural gas as well as proportional peak savings in California. The RIVEC controller is intended to meet the 2008 Title 24 requirements for residential ventilation as well as taking into account the issues of outdoor conditions, other ventilation devices (including economizers), peak demand concerns and occupant preferences. The controller is designed to manage all the residential ventilation systems that are currently available. A key innovation in this controller is the ability to implement the concept of efficacy and intermittent ventilation which allows time shifting of ventilation. Using this approach ventilation can be shifted away from times of high cost or high outdoor pollution towards times when it is cheaper and more effective. Simulations, based on the ones used to develop the new residential ventilation requirements for the California Buildings Energy code, were used to further define the specific criteria and strategies needed for the controller. These simulations provide estimates of the energy, peak power and contaminant improvement possible for different California climates for the various ventilation systems. Results from a field test of the prototype controller corroborate the predicted performance.

423

Residential Lighting End-Use Consumption  

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

The U.S. DOE Residential Lighting End-Use Consumption Study aims to improve the understanding of lighting energy usage in U.S. residential dwellings using a regional estimation framework. The framework allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications.

424

Salt Lake County Residential Solar Financing Study  

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

As part of our engagement with the National Renewable Energy Laboratories conducting the Salt Lake County Solar America Residential Finance Study, we have drafted this report summarizing the tools and mechanisms available for residential solar projects. These include the financial incentives available, possible financing models that could be used in the County, and a review of the community-scale solar project in St. George, Utah. We have also provided cost estimates for each system.

425

Evaluation of evolving residential electricity tariffs  

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

Evaluation of evolving residential electricity tariffs Evaluation of evolving residential electricity tariffs Title Evaluation of evolving residential electricity tariffs Publication Type Conference Paper Year of Publication 2011 Authors Lai, Judy, Nicholas DeForest, Sila Kiliccote, Michael Stadler, Chris Marnay, and Jonathan Donadee Conference Name ECEEE Summer Study, June 6-11, 2011 Date Published 06/2011 Publisher LBNL Conference Location Belambra Presqu'île de Giens, France Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract Residential customers in California's Pacific Gas and Electric (PG&E) territory have seen several electricity rate structure changes in the past decade. A relatively simple two-tiered pricing system (charges by usage under/over baseline for the home's climate zone) was replaced in the summer of 2001 by a more complicated five-tiered system (usage below baseline and up to 30%, 100%, 200%, and 300%+ over baseline). In 2009, PG&E began the process of upgrading its residential customers to Smart Meters and laying the groundwork for time of use pricing, due to start in 2011. This paper examines the history of the tiered pricing system, discusses the problems the utility encountered with its Smart Meter roll out, and evaluates the proposed dynamic pricing incentive structures. Scenario analyses of example PG&E customer bills will also be presented. What would these residential customers pay if they were still operating under a tiered structure, and/or if they participated in peak hour reductions?

426

The 1986 residential occupant survey  

SciTech Connect

In 1986, Pacific Northwest Laboratory developed the Residential Occupant Survey-Spring '86, which was implemented. The overall purpose of the study was to collect demographic, attitudinal, and behavioral data related to the use and conservation of electricity in dwellings participating in the Bonneville Power Administration's End-Use Load and Conservation Assessment Program (ELCAP). Information was collected on the respondents' perceptions of the energy efficiency of their dwelling, temperature the dwelling was kept when people were at home and awake during the last heating season, which rooms, if any, were not heated during the last heating season, number of times the dwelling was unoccupied for at least one week, number of times pets were let out of the dwelling per day, attitudes toward energy use and conservation and several socio-demographic variables such as age, sex, and total household income. The results of the data analyses showed age to be an important factor for reported indoor temperature and perceived energy efficiency of the dwelling. The results also showed that almost 60% of the ELCAP occupants do not heat one or more rooms during the heating season, and almost 45% of the ELCAP dwellings were unoccupied for at least one week during the reporting period. In terms of the reported allocation of household income for household energy expenses, the results showed that the reported dollar amount spent for the expenses remained relatively constant over income levels.

Ivey, D.L.; Alley, P.K.

1987-04-01T23:59:59.000Z

427

Japan's Residential Energy Demand Outlook to 2030 Considering Energy Efficiency Standards"Top-Runner Approach"  

SciTech Connect

As one of the measures to achieve the reduction in greenhouse gas emissions agreed to in the"Kyoto Protocol," an institutional scheme for determining energy efficiency standards for energy-consuming appliances, called the"Top-Runner Approach," was developed by the Japanese government. Its goal is to strengthen the legal underpinnings of various energy conservation measures. Particularly in Japan's residential sector, where energy demand has grown vigorously so far, this efficiency standard is expected to play a key role in mitigating both energy demand growth and the associated CO2 emissions. This paper presents an outlook of Japan's residential energy demand, developed by a stochastic econometric model for the purpose of analyzing the impacts of the Japan's energy efficiency standards, as well as the future stochastic behavior of income growth, demography, energy prices, and climate on the future energy demand growth to 2030. In this analysis, we attempt to explicitly take into consideration more than 30 kinds of electricity uses, heating, cooling and hot water appliances in order to comprehensively capture the progress of energy efficiency in residential energy end-use equipment. Since electricity demand, is projected to exhibit astonishing growth in Japan's residential sector due to universal increasing ownership of electric and other appliances, it is important to implement an elaborate efficiency standards policy for these appliances.

Lacommare, Kristina S H; Komiyama, Ryoichi; Marnay, Chris

2008-05-15T23:59:59.000Z

428

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network (OSTI)

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

Poulin, L.

2013-01-01T23:59:59.000Z

429

BMA Probabilistic Quantitative Precipitation Forecasting over the Huaihe Basin Using TIGGE Multimodel Ensemble Forecasts  

Science Journals Connector (OSTI)

Bayesian model averaging (BMA) probability quantitative precipitation forecast (PQPF) models were established by calibrating their parameters using 1–7-day ensemble forecasts of 24-h accumulated precipitation, and observations from 43 ...

Jianguo Liu; Zhenghui Xie

2014-04-01T23:59:59.000Z

430

Calibrated Precipitation Forecasts for a Limited-Area Ensemble Forecast System Using Reforecasts  

Science Journals Connector (OSTI)

The calibration of numerical weather forecasts using reforecasts has been shown to increase the skill of weather predictions. Here, the precipitation forecasts from the Consortium for Small Scale Modeling Limited Area Ensemble Prediction System (...

Felix Fundel; Andre Walser; Mark A. Liniger; Christoph Frei; Christof Appenzeller

2010-01-01T23:59:59.000Z

431

Possible global warming futures Minh Ha-Duong  

E-Print Network (OSTI)

Possible global warming futures Minh Ha-Duong Minh.Ha.Duong@cmu.edu CNRS, France HDGC, Carnegie Mellon Possible global warming futures ­ p.1/36 #12;SRES: Forecasts or scenarios? +5.5 C in 2100 the controversy using imprecise probabilities, a more general information theory. . . Possible global warming

432

What Do Consumers Believe About Future Gasoline Soren T. Anderson  

E-Print Network (OSTI)

What Do Consumers Believe About Future Gasoline Prices? Soren T. Anderson Michigan State University of consumers about their expectations of future gasoline prices. Overall, we find that consumer beliefs follow a random walk, which we deem a reasonable forecast of gasoline prices, but we find a deviation from

Silver, Whendee

433

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

Residential Density on Vehicle Usage and Energy ConsumptionType Choice, and Fuel Usage Total annual residentialResidential Density on Vehicle Usage and Energy Consumption

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

434

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

Residential Density on Vehicle Usage and Energy ConsumptionResidential Density on Vehicle Usage and Energy ConsumptionResidential Density on Vehicle Usage and Energy Consumption

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

435

Housing, Credit Constraints, and Macro Stability: The Secondary Mortgage Market and Reduced Cyclicality of Residential Investment  

E-Print Network (OSTI)

volatility of residential investment shrank relative to thatvolatility of residential investment, the secondary mortgageCyclicality of Residential Investment” Joe Peek Gatton Chair

Peek, Joe; Wilcox, James A.

2006-01-01T23:59:59.000Z

436

Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings  

E-Print Network (OSTI)

U.S. Residential Electricity Consumption by End Use. 2011a [average residential electricity consumption by end-use inaverage residential electricity consumption by end-use in

Garbesi, Karina

2012-01-01T23:59:59.000Z

437

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

H Tables H Tables Appendix H Comparisons With Other Forecasts, and Performance of Past IEO Forecasts for 1990, 1995, and 2000 Forecast Comparisons Three organizations provide forecasts comparable with those in the International Energy Outlook 2005 (IEO2005). The International Energy Agency (IEA) provides “business as usual” projections to the year 2030 in its World Energy Outlook 2004; Petroleum Economics, Ltd. (PEL) publishes world energy forecasts to 2025; and Petroleum Industry Research Associates (PIRA) provides projections to 2015. For this comparison, 2002 is used as the base year for all the forecasts, and the comparisons extend to 2025. Although IEA’s forecast extends to 2030, it does not publish a projection for 2025. In addition to forecasts from other organizations, the IEO2005 projections are also compared with those in last year’s report (IEO2004). Because 2002 data were not available when IEO2004 forecasts were prepared, the growth rates from IEO2004 are computed from 2001.

438

Funding Opportunity Announcement for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

439

Upcoming Funding Opportunity for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

440

Huge market forecast for linear LDPE  

Science Journals Connector (OSTI)

Huge market forecast for linear LDPE ... It now appears that the success of the new technology, which rests largely on energy and equipment cost savings, could be overwhelming. ...

1980-08-25T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

Post-Retrofit Residential Assessments  

SciTech Connect

This study examined a range of factors influencing energy consumption in households that had participated in residential energy-efficiency upgrades. The study was funded by a grant from the U.S. Department of Energy’s Pacific Northwest National Laboratory and was conducted by faculty and staff of Portland State University Center for Urban Studies and Department of Economics. This work was made possible through the assistance and support of the Energy Trust of Oregon (ETO), whose residential energy-efficiency programs provided the population from which the sample cases were drawn. All households in the study had participated in the ETO Home Performance with Energy Star (HPwES) program. A number of these had concurrently pursued measures through other ETO programs. Post-retrofit energy outcomes are rarely investigated on a house-by-house basis. Rather, aggregate changes are ordinarily the focus of program impact evaluations, with deviation from aggregate expectations chalked up to measurement error, the vagaries of weather and idiosyncrasies of occupants. However, understanding how homes perform post-retrofit on an individual basis can give important insights to increase energy savings at the participant and the programmatic level. Taking a more disaggregated approach, this study analyzed energy consumption data from before and after the retrofit activity and made comparisons with engineering estimates for the upgrades, to identify households that performed differently from what may have been expected based on the estimates. A statistical analysis using hierarchal linear models, which accounted for weather variations, was performed looking separately at gas and electrical use during the periods before and after upgrades took place. A more straightforward comparison of billing data for 12-month periods before and after the intervention was also performed, yielding the majority of the cases examined. The later approach allowed total energy use and costs to be assessed but did not account for weather variation. From this statistical analysis, 18 study participants were selected and interviewed. The participants completed an in-home interview covering a range of topics, including changes in occupancy and additional changes to the homes that may have affected energy use. The goal of the interviews was to identify factors that may have contributed to unusual energy performance. These factors were identified by their frequency of occurrence in outperforming or underperforming homes, or simply by identifying factors that had the largest impact on overall savings. The motivations and levels of satisfaction with the outcomes of the upgrades were covered in detail, as well as extensive discussions of behaviors pertaining to thermal control, lighting, water, and appliance use. Most of cases studied achieved substantial energy savings, although it was more common for the projected savings to be greater than the demonstrated savings. Two factors that played a very large role in savings variation were 1) changes in occupancy and 2) fenestration improvements outside of the incentive programs. Motivation for pursuing the upgrades (e.g., environmental sustainability vs. comfort or cost savings) did not seem to play any role in achieving savings. Participants generally were more concerned with maintaining aesthetics through lighting than comfort through heating or cooling. They also seemed more likely to turn the lights off when leaving a room than to turn the heat off when leaving the home.

Lancaster, Ross; lutzenhiser, Loren; Moezzi, Mithra; Widder, Sarah H.; Chandra, Subrato; Baechler, Michael C.

2012-04-30T23:59:59.000Z

442

Choosing an electrical energy future for the Pacific Northwest: an Alternative Scenario  

SciTech Connect

An Alternative Scenario for the electric energy future of the Pacific Northwest is presented. The Scenario includes an analysis of each major end use of electricity in the residential, commercial, manufacturing, and agricultural sectors. This approach affords the most direct means of projecting the likely long-term growth in consumption and the opportunities for increasing the efficiency with which electricity is used in each instance. The total demand for electricity by these end uses then provides a basis for determining whether additional central station generation is required to 1995. A projection of total demand for electricity depends on the combination of many independent variables and assumptions. Thus, the approach is a resilient one; no single assumption or set of linked assumptions dominates the analysis. End-use analysis allows policymakers to visualize the benefits of alternative programs, and to make comparison with the findings of other studies. It differs from the traditional load forecasts for the Pacific Northwest, which until recently were based largely on straightforward extrapolations of historical trends in the growth of electrical demand. The Scenario addresses the supply potential of alternative energy sources. Data are compiled for 1975, 1985, and 1995 in each end-use sector.

Cavanagh, R.C.; Mott, L.; Beers, J.R.; Lash, T.L.

1980-08-01T23:59:59.000Z

443

Annual Energy Outlook Forecast Evaluation - Table 1. Forecast Evaluations:  

Gasoline and Diesel Fuel Update (EIA)

Average Absolute Percent Errors from AEO Forecast Evaluations: Average Absolute Percent Errors from AEO Forecast Evaluations: 1996 to 2000 Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Variable 1996 Evaluation: AEO82 to AEO93 1997 Evaluation: AEO82 to AEO97 1998 Evaluation: AEO82 to AEO98 1999 Evaluation: AEO82 to AEO99 2000 Evaluation: AEO82 to AEO2000 Consumption Total Energy Consumption 1.8 1.6 1.7 1.7 1.8 Total Petroleum Consumption 3.2 2.8 2.9 2.8 2.9 Total Natural Gas Consumption 6.0 5.8 5.7 5.6 5.6 Total Coal Consumption 2.9 2.7 3.0 3.2 3.3 Total Electricity Sales 1.8 1.6 1.7 1.8 2.0 Production Crude Oil Production 5.1 4.2 4.3 4.5 4.5

444

Optimal combined wind power forecasts using exogeneous variables  

E-Print Network (OSTI)

Optimal combined wind power forecasts using exogeneous variables Fannar ¨Orn Thordarson Kongens of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January

445

Ensemble typhoon quantitative precipitation forecasts model in Taiwan  

Science Journals Connector (OSTI)

In this study, an ensemble typhoon quantitative precipitation forecast (ETQPF) model was developed to provide typhoon rainfall forecasts for Taiwan. The ETQPF rainfall forecast is obtained by averaging the pick-out cases, which are screened at a ...

Jing-Shan Hong; Chin-Tzu Fong; Ling-Feng Hsiao; Yi-Chiang Yu; Chian-You Tzeng

446

Unitil - Residential Energy Efficiency Programs | Department of Energy  

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

Unitil - Residential Energy Efficiency Programs Unitil - Residential Energy Efficiency Programs Unitil - Residential Energy Efficiency Programs < Back Eligibility Construction Installer/Contractor Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Other Sealing Your Home Ventilation Commercial Lighting Lighting Cooling Maximum Rebate Home Performance with Energy Star: $4,000 Program Info State New Hampshire Program Type Utility Rebate Program Rebate Amount Home Performance with Energy Star: 50% Clothes Washer: $30 Refrigerator: $30 Room Air Conditioner: $20 Room Purifier: $15 CFLs: In-store discounts Provider Unitil Energy Systems

447

Better Buildings Neighborhood Program: What's Working in Residential Energy  

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

What's Working What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 to someone by E-mail Share Better Buildings Neighborhood Program: What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 on Facebook Tweet about Better Buildings Neighborhood Program: What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 on Twitter Bookmark Better Buildings Neighborhood Program: What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 on Google Bookmark Better Buildings Neighborhood Program: What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 on Delicious Rank Better Buildings Neighborhood Program: What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 on Digg

448

Efficiency United (Gas) - Residential Efficiency Program | Department of  

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

Efficiency United (Gas) - Residential Efficiency Program Efficiency United (Gas) - Residential Efficiency Program Efficiency United (Gas) - Residential Efficiency Program < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Appliances & Electronics Construction Design & Remodeling Other Ventilation Manufacturing Water Heating Windows, Doors, & Skylights Maximum Rebate Weatherization Measures: 50% of the cost Windows: $150 Water Heaters/Clothes Washers: 1 Pipe Wrap: Limit of 10 linear ft. Faucet Aerators: 2 High Efficiency Shower Head: 2 Program Info State Michigan Program Type Utility Rebate Program Rebate Amount Boiler: $200 Furnace: $100 - $200

449

Berkshire Gas - Residential Energy Efficiency Rebate Program | Department  

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

Berkshire Gas - Residential Energy Efficiency Rebate Program Berkshire Gas - Residential Energy Efficiency Rebate Program Berkshire Gas - Residential Energy Efficiency Rebate Program < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Other Sealing Your Home Ventilation Construction Manufacturing Appliances & Electronics Water Heating Windows, Doors, & Skylights Maximum Rebate Weatherization: $2,000 Program Info State Massachusetts Program Type Utility Rebate Program Rebate Amount Weatherization - Single Family: 75% of cost Weatherization - Multi-Family: 50% of cost Weatherization - Low-Income: 100% of cost Furnaces: $500 - $800 Boilers: $1,000 - $1,500 Combined Boiler/Water Heater: $1,200

450

Energy Efficiency Fund (Electric and Gas) - Residential New Construction  

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

Energy Efficiency Fund (Electric and Gas) - Residential New Energy Efficiency Fund (Electric and Gas) - Residential New Construction Program Energy Efficiency Fund (Electric and Gas) - Residential New Construction Program < Back Eligibility Construction Installer/Contractor Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Construction Design & Remodeling Sealing Your Home Ventilation Heating Heat Pumps Appliances & Electronics Water Heating Maximum Rebate Varies Program Info Funding Source Energy Efficiency Fund State Connecticut Program Type Utility Rebate Program Rebate Amount Varies by technology for prescriptive measures and whether the applicant is seeking ENERGY STAR Certification or Home Energy Rating System (HERS)

451

NYSEG (Electric) - Residential Efficiency Program | Department of Energy  

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

NYSEG (Electric) - Residential Efficiency Program NYSEG (Electric) - Residential Efficiency Program NYSEG (Electric) - Residential Efficiency Program < Back Eligibility Multi-Family Residential Residential Savings Category Appliances & Electronics Commercial Lighting Lighting Program Info Funding Source System Benefits Charge Start Date 5/1/2011 State New York Program Type Utility Rebate Program Rebate Amount Refrigerator Recycling: $50 rebate and free removal Multifamily Dwelling Units: 6 free CFLS and smart power strips Multifamily Common Area Ligting: 50% off custom lighting upgrades Provider NYSEG/RG&E NYSEG is offering residential electric customers rebates for recycling refrigerators, and its multifamily customers free CFLs, smart power strips and 50% off common area lighting equipment. All equipment requirements must

452

Springfield Utility Board - Residential Energy Efficiency Rebate Program |  

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

Springfield Utility Board - Residential Energy Efficiency Rebate Springfield Utility Board - Residential Energy Efficiency Rebate Program Springfield Utility Board - Residential Energy Efficiency Rebate Program < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Sealing Your Home Ventilation Heating & Cooling Commercial Heating & Cooling Heat Pumps Water Heating Program Info State Oregon Program Type Utility Rebate Program Rebate Amount Refrigerators/Freezers: $25 Electric Water Heaters: $25 Clothes Washers: $30 - $80 Recycle Refrigerator/Freezer: $25 Duct Sealing/Testing: $150 - $400 Heat Pump: $500 Ductless Heat Pump: $1,000 Insulation: 50% (100% for qualified low income customers) Provider Springfield Utility Board

453

Anaheim Public Utilities - Residential Home Efficiency Rebate Program |  

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

Residential Home Efficiency Rebate Residential Home Efficiency Rebate Program Anaheim Public Utilities - Residential Home Efficiency Rebate Program < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Heating & Cooling Cooling Commercial Heating & Cooling Appliances & Electronics Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Manufacturing Commercial Lighting Lighting Windows, Doors, & Skylights Maximum Rebate Air Duct Repair: $300 Ceiling Fan: 3 fans Program Info State California Program Type Utility Rebate Program Rebate Amount Refrigerator: $50 Refrigerator Recycling: $50 Dishwasher: $50 Room A/C: $50 Central A/C: $100/ton High Performance windows: $1/sq ft Air Duct Repair: 50% of repair cost Ceiling Fan: $20 Whole House Fan: $100

454

Flint Energies - Residential Energy Efficiency Loan Program | Department of  

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

Flint Energies - Residential Energy Efficiency Loan Program Flint Energies - Residential Energy Efficiency Loan Program Flint Energies - Residential Energy Efficiency Loan Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Construction Design & Remodeling Windows, Doors, & Skylights Ventilation Manufacturing Heating Heat Pumps Insulation Water Heating Maximum Rebate $7,500 Program Info State Georgia Program Type Utility Loan Program Rebate Amount $1,000 - $7,500 Flint Energies has partnered with Robins Federal Credit Union to offer affordable financing options to residential customers who wish to upgrade the energy efficiency of homes and residential equipment. Loans of $1,000

455

Atmos Energy (Gas) - Residential Efficiency Program | Department of Energy  

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

(Gas) - Residential Efficiency Program (Gas) - Residential Efficiency Program Atmos Energy (Gas) - Residential Efficiency Program < Back Eligibility Low-Income Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Sealing Your Home Appliances & Electronics Water Heating Windows, Doors, & Skylights Program Info State Iowa Program Type Utility Rebate Program Rebate Amount Furnace lowest $250, $325, or $400 Boiler: $150 or $400 Condensing Water Heater: $300 Storage Water Heater: $75 Tankless Water Heater: $300 Provider Energy Federation Incorporated '''As of August 1, 2012, Iowa energy efficiency programs are offered by Liberty Utilities. ''' Atmos Energy provides rebates for residential natural gas heating equipment through their High Efficiency Rebate Program. When Atmos Receives the

456

Kissimmee Utility Authority - Residential Energy Efficiency Rebate Program  

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

Residential Energy Efficiency Rebate Residential Energy Efficiency Rebate Program Kissimmee Utility Authority - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Sealing Your Home Ventilation Appliances & Electronics Commercial Lighting Lighting Maximum Rebate One piece of equipment or measure per customer, per year Program Info State Florida Program Type Utility Rebate Program Rebate Amount Duct Leak Repair: $75 HVAC Maintenance: $50 HVAC Replacement: $225 Insulation: $100 CFL/LED Lamp: $15/lamp Provider Senior Energy Conservation Specialist Kissimmee Utility Authority (KUA) offers several rebates to residential customers for energy efficiency improvements. Residential customers can

457

Burbank Water and Power - Residential Energy Efficiency Rebate Program |  

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

Residential Energy Efficiency Rebate Residential Energy Efficiency Rebate Program Burbank Water and Power - Residential Energy Efficiency Rebate Program < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Cooling Commercial Heating & Cooling Appliances & Electronics Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Program Info State California Program Type Utility Rebate Program Rebate Amount Products purchased from a Burbank retailer are typically awarded higher rebates than those purchased outside Burbank. Inside Burbank: Ceiling Fans: $25 (maximum three) Clothes Washer: $50 Dishwasher: $35 Refrigerator/Freezer: $75 Room A/C: $35 Low E Windows/Doors: $2.00/sq ft

458

Future Accelerators (?)  

E-Print Network (OSTI)

I describe the future accelerator facilities that are currently foreseen for electroweak scale physics, neutrino physics, and nuclear structure. I will explore the physics justification for these machines, and suggest how the case for future accelerators can be made.

John Womersley

2003-08-09T23:59:59.000Z

459

1996 Residential Lighting Use and Potential Savings  

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

Administration Home Page Welcome to the Energy Information Administration's Residential Energy Consumption Home Page. If you need assistance in viewing this page, please call (202) 586-8800 Energy Information Administration Home Page Administration Home Page Welcome to the Energy Information Administration's Residential Energy Consumption Home Page. If you need assistance in viewing this page, please call (202) 586-8800 Energy Information Administration Home Page Home > Energy Users > Residential Home >1996 Lighting DOE/EIA-0555(96)/2 Distribution Category UC-950 Energy Consumption Series Residential Lighting Use and Potential Savings September 1996 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 Contacts This publication was prepared by the Energy Information Administration (EIA) under the general direction of W. Calvin Kilgore, Director of the Office of Energy Markets and End Use (202-586-1617). The project was directed by Lynda T. Carlson, Director of the Office of Energy End Use and Integrated Statistics Division (EEUISD) (202-586-1112). Specific technical information may be obtained from the Residential Energy Consumption Survey (RECS) Manager, Robert Latta (202-586-1385). The FAX number for all EEUISD personnel is 202-586-0018.

460

Research implications: an evaluation of residential evacuation practices following a train derailment/oleum spill incident  

Science Journals Connector (OSTI)

This research paper outlines the specific elements involved in the evacuation of approximately 3000 residents following a train derailment in the spring of 2002 in a suburban community in the Southeastern United States (USA). The derailment caused the release of an oleum (sulphuric acid) spill/plume. A major focus is the post-accident assessment of the procedures used for the evacuation, including recommended improvements/modifications. These recommendations were designed to improve future compliance with evacuation procedures in residential neighbourhoods.

Susan M. Smith; Tyler Kress; Mary Jane Tremethick; Sean Lennon; Alan Lawson; Holt Clark; Jerry Harnish

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

Residential Energy Consumption Survey (RECS) - Analysis & Projections -  

Gasoline and Diesel Fuel Update (EIA)

How does EIA estimate energy consumption and end uses in U.S. homes? How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses â€" information critical to meeting future energy demand and improving efficiency and building design. RECS uses a multi-stage area probability design to select sample methodology figure A multi-stage area probability design ensures the selection

462

Review of Residential Low-Load HVAC Systems  

SciTech Connect

In support of the U.S. Department of Energy’s (DOE’s) Building America Program, Pacific Northwest National Laboratory (PNNL) conducted an investigation to inventory commercially available HVAC technologies that are being installed in low-load homes. The first step in this investigation was to conduct a review of published literature to identify low-load HVAC technologies available in the United States and abroad, and document the findings of existing case studies that have evaluated the performance of the identified technologies. This report presents the findings of the literature review, identifies gaps in the literature or technical understanding that must be addressed before low-load HVAC technologies can be fully evaluated, and introduces PNNL’s planned research and analysis for this project to address identified gaps and potential future work on residential low-load HVAC systems.

Brown, Scott A.; Thornton, Brian; Widder, Sarah H.

2013-09-01T23:59:59.000Z

463

Forecast of geothermal drilling activity  

SciTech Connect

The numbers of each type of geothermal well expected to be drilled in the United States for each 5-year period to 2000 AD are specified. Forecasts of the growth of geothermally supplied electric power and direct heat uses are presented. The different types of geothermal wells needed to support the forecasted capacity are quantified, including differentiation of the number of wells to be drilled at each major geothermal resource for electric power production. The rate of growth of electric capacity at geothermal resource areas is expected to be 15 to 25% per year (after an initial critical size is reached) until natural or economic limits are approached. Five resource areas in the United States should grow to significant capacity by the end of the century (The Geysers; Imperial Valley; Valles Caldera, NM; Roosevelt Hot Springs, UT; and northern Nevada). About 3800 geothermal wells are expected to be drilled in support of all electric power projects in the United States between 1981 and 2000 AD. Half of the wells are expected to be drilled in the Imperial Valley. The Geysers area is expected to retain most of the drilling activity for the next 5 years. By the 1990's, the Imperial Valley is expected to contain most of the drilling activity.

Brown, G.L.; Mansure, A.J.

1981-10-01T23:59:59.000Z

464

New Concepts in Wind Power Forecasting Models  

E-Print Network (OSTI)

New Concepts in Wind Power Forecasting Models Vladimiro Miranda, Ricardo Bessa, João Gama, Guenter to the training of mappers such as neural networks to perform wind power prediction as a function of wind for more accurate short term wind power forecasting models has led to solid and impressive development

Kemner, Ken

465

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network (OSTI)

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near-surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

466

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network (OSTI)

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near­surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

467

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network (OSTI)

: Technology Forecast, Laws of Technical systems evolution, Analysis of Contradictions. 1. Introduction Let us: If technology forecasting practice remains at the present level, it is necessary to significantly improve to new demands (like Green House Gases - GHG Effect reduction or covering exploded nuclear reactor

Paris-Sud XI, Université de

468

UHERO FORECAST PROJECT DECEMBER 5, 2014  

E-Print Network (OSTI)

deficits. After solid 3% growth this year, real GDP growth will recede a bit for the next two years. New household spending. Real GDP will firm above 3% in 2015. · The pace of growth in China has continuedUHERO FORECAST PROJECT DECEMBER 5, 2014 Asia-Pacific Forecast: Press Version: Embargoed Until 2

469

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network (OSTI)

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

Stoffelen, Ad

470

A Forecasting Support System Based on Exponential Smoothing  

Science Journals Connector (OSTI)

This chapter presents a forecasting support system based on the exponential smoothing scheme to forecast time-series data. Exponential smoothing methods are simple to apply, which facilitates...

Ana Corberán-Vallet; José D. Bermúdez; José V. Segura…

2010-01-01T23:59:59.000Z

471

ANL Software Improves Wind Power Forecasting | Department of...  

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

principal investigator for the project. For wind power point forecasting, ARGUS PRIMA trains a neural network using data from weather forecasts, observations, and actual wind...

472

Improved Prediction of Runway Usage for Noise Forecast :.  

E-Print Network (OSTI)

??The research deals with improved prediction of runway usage for noise forecast. Since the accuracy of the noise forecast depends on the robustness of runway… (more)

Dhanasekaran, D.

2014-01-01T23:59:59.000Z

473

The Wind Forecast Improvement Project (WFIP): A Public/Private...  

Energy Savers (EERE)

Improvement Project (WFIP): A PublicPrivate Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The Wind Forecast...

474

PBL FY 2002 Third Quarter Review Forecast of Generation Accumulated...  

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

Power Business Line Generation Accumulated Net Revenues Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) FY 2002 Third Quarter Review Forecast in Millions...

475

Financing Residential Retrofits | Department of Energy  

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

Financing Residential Retrofits Financing Residential Retrofits Financing Residential Retrofits June 25, 2010 - 3:32pm Addthis Rancho Cucamonga, east of Los Angeles, received a $1.6 million Energy Efficiency and Conservation Block grant from the U.S. Department of Energy last year, using money authorized by the American Recovery and Reinvestment Act. Among the city's many uses of the Recovery Act funds are two different programs intended to encourage more energy efficient homes. One, the Home Improvement Loan Program, targets low-income residents who'd like to make major repairs or improvements in their homes. The other is the Energy Efficiency Reimbursement Program, open to any city resident who purchases and installs an energy efficient appliance. "I think we wanted to have the biggest impact we could and assist the

476

Financing Residential Retrofits | Department of Energy  

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

Financing Residential Retrofits Financing Residential Retrofits Financing Residential Retrofits June 25, 2010 - 3:32pm Addthis Rancho Cucamonga, east of Los Angeles, received a $1.6 million Energy Efficiency and Conservation Block grant from the U.S. Department of Energy last year, using money authorized by the American Recovery and Reinvestment Act. Among the city's many uses of the Recovery Act funds are two different programs intended to encourage more energy efficient homes. One, the Home Improvement Loan Program, targets low-income residents who'd like to make major repairs or improvements in their homes. The other is the Energy Efficiency Reimbursement Program, open to any city resident who purchases and installs an energy efficient appliance. "I think we wanted to have the biggest impact we could and assist the

477

Roseville Electric - Residential Energy Efficiency Rebate Program |  

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

Energy Efficiency Rebate Program Energy Efficiency Rebate Program Roseville Electric - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Maximum Rebate Sunscreens: $150 Shade Tree: 6 trees Program Info Expiration Date 06/30/2013 State California Program Type Utility Rebate Program Rebate Amount Air Conditioner/Heat Pump: $400 Pool Pump (Variable Speed): $300 Clothes Washer: up to $75 CFLs: Exchange up to 10 bulbs Sunscreens: $0.75/sq. ft. Shade Tree: $25 - $50/tree Roseville Electric offers incentives to its residential customers that encourage energy efficient improvements and equipment upgrades in eligible homes. Rebates of up to $75 are available to customers who install CEE tier

478

Building Technologies Office: Residential Energy Efficiency Stakeholder  

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

Energy Efficiency Stakeholder Meeting - Spring 2012 Energy Efficiency Stakeholder Meeting - Spring 2012 The U.S. Department of Energy (DOE) Building America program held the second annual Residential Energy Efficiency Stakeholder Meeting on February 29-March 2, 2012, in Austin, Texas. At this meeting, hundreds of building industry professionals came together to share their perspective on the most current innovation projects in the residential buildings sector. This meeting provided an opportunity for researchers and industry stakeholders to showcase and discuss the latest in cutting-edge, energy-efficient residential building technologies and practices. The meeting also included working sessions from each Standing Technical Committee (STC), which outlined work that will best assist in overcoming technical challenges and delivering Building America research results to the market. Learn more about the STCs and the research planning process.

479

Residential Thermostats: Comfort Controls in California Homes  

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

Residential Thermostats: Comfort Controls in California Homes Residential Thermostats: Comfort Controls in California Homes Title Residential Thermostats: Comfort Controls in California Homes Publication Type Report LBNL Report Number LBNL-938e Year of Publication 2008 Authors Walker, Iain S., and Alan K. Meier Keywords demand response and distributed energy resources center, demand response research center, home networks & controls Abstract This report summarizes results of a literature review, a workshop, and many meetings with demand response and thermostat researchers and implementers. The information obtained from these resources was used to identify key issues of thermostat performance from both energy savings and peak demand perspectives. A research plan was developed to address these issues and activities have already begun to pursue the research agenda.

480

Residential Rewards Program | Department of Energy  

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

Rewards Program Rewards Program Residential Rewards Program < Back Eligibility Multi-Family Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Heat Pumps Appliances & Electronics Water Heating Program Info Funding Source Focus On Energy Program Expiration Date 12/31/2013 State Wisconsin Program Type State Rebate Program Rebate Amount Furnace (90% AFUE with ECM): $125 Furnace (95% AFUE with ECM): $275 Furnace (95% AFUE with ECM) and AC (16 SEER): $400 Air Source Heat Pump (16 SEER): $300 Natural gas space heating boiler (90% AFUE): $300 Natural gas space heating boiler (95% AFUE): $400 Indirect Water Heater (with high efficiency space heating boiler): $100 Tankless Water Heater (0.82 EF or higher): $100 Storage Water Heater (0.67 EF or higher): $50

Note: This page contains sample records for the topic "forecasts future residential" 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

Solar Photovoltaic Financing: Residential Sector Deployment  

SciTech Connect

This report presents the information that homeowners and policy makers need to facilitate PV financing at the residential level. The full range of cash payments, bill savings, and tax incentives is covered, as well as potentially available solar attribute payments. Traditional financing is also compared to innovative solutions, many of which are borrowed from the commercial sector. Together, these mechanisms are critical for making the economic case for a residential PV installation, given its high upfront costs. Unfortunately, these programs are presently limited to select locations around the country. By calling attention to these innovative initiatives, this report aims to help policy makers consider greater adoption of these models to benefit homeowners interested installing a residential PV system.

Coughlin, J.; Cory, K.

2009-03-01T23:59:59.000Z

482

Sorption of organic gases in residential rooms  

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

residential rooms residential rooms Title Sorption of organic gases in residential rooms Publication Type Journal Article LBNL Report Number LBNL-59303 Year of Publication 2007 Authors Singer, Brett C., Alfred T. Hodgson, Toshifumi Hotchi, Katherine Y. Ming, Richard G. Sextro, Emily E. Wood, and Nancy J. Brown Journal Atmospheric Environment Volume 41 Start Page Chapter Pagination 3251-3265 Keywords adsorption, hazardous air pollutants, nerve agents, sink effect, volatile organic compounds Abstract Experiments were conducted to characterize organic gas sorption in residential rooms studied ''as-is'' with furnishings and material surfaces unaltered and in a furnished chamber designed to simulate a residential room. Results are presented for 10 rooms (five bedrooms, two bathrooms, a home office, and two multi-function spaces) and the chamber. Exposed materials were characterized and areas quantified. A mixture of volatile organic compounds (VOCs) was rapidly volatilized within each room as it was closed and sealed for a 5-h Adsorb phase; this was followed by 30-min Flush and 2-h closed-room Desorb phases. Included were alkane, aromatic, and oxygenated VOCs representing a range of ambient and indoor air pollutants. Three organophosphorus compounds served as surrogates for Sarin-like nerve agents. Measured gas-phase concentrations were fit to three variations of a mathematical model that considers sorption occurring at a surface sink and potentially a second, embedded sink. The 3-parameter sink-diffusion model provided acceptable fits for most compounds and the 4-parameter two-sink model provided acceptable fits for the others. Initial adsorption rates and sorptive partitioning increased with decreasing vapor pressure for the alkanes, aromatics and oxygenated VOCs. Best-fit sorption parameters obtained from experimental data from the chamber produced best-fit sorption parameters similar to those obtained from the residential rooms

483

Better Buildings Residential Program Solution Center Demonstration  

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

Danielle Sass Byrnett Better Buildings Residential Building Technologies Office Program Solution Center Demonstration Outline * Goals, History, Content Sources * Tour: Organization - Program Components - Handbooks * Tour: Navigation Options * Tour: Examples * Next Steps * Questions & Feedback 2 eere.energy.gov Overview 3 eere.energy.gov Purpose: Support Residential Energy Efficiency Upgrade Programs & Partners * Provide an easily accessed repository for key lessons, resources, and knowledge collected from the experience of past programs. * Help programs and their partners plan, implement, manage, and evaluate better * Help stakeholders leapfrog past missteps en route to a larger and more successful industry. 4 eere.energy.gov Intended Audiences

484

Solar Leasing for Residential Photovoltaic Systems  

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

This publication examines the solar lease option for residential PV systems and describes two solar lease programs already in place. As a result of the $2,000 cap on the residential ITC being lifted in 2009, the expansion of the solar lease model across the United States may be slower than anticipated. The lease model, though, still offers homeowners some distinct advantages. This publication helps homeowners revisit the comparison between the solar lease and home-equity financing in light of the change to the ITC.

485

Roseville Electric - Residential New Construction Rebate Program |  

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

New Construction Rebate Program New Construction Rebate Program Roseville Electric - Residential New Construction Rebate Program < Back Eligibility Commercial Construction Installer/Contractor Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Construction Design & Remodeling Sealing Your Home Ventilation Solar Buying & Making Electricity Program Info State California Program Type Utility Rebate Program Rebate Amount Energy Efficiency: $500/unit Solar PV: $2/watt Shade Trees: $30/tree Provider Roseville Electric Roseville Electric provides financial incentives to encourage local builders to construct energy efficient homes which incorporate solar resources. Participating builders can choose to build Preferred Homes or

486

NIPSCO (Gas and Electric) - Residential Natural Gas Efficiency Rebates |  

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

NIPSCO (Gas and Electric) - Residential Natural Gas Efficiency NIPSCO (Gas and Electric) - Residential Natural Gas Efficiency Rebates NIPSCO (Gas and Electric) - Residential Natural Gas Efficiency Rebates < Back Eligibility Construction Low-Income Residential Multi-Family Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Program Info State Indiana Program Type Utility Rebate Program Rebate Amount Varies Provider Energy Efficiency Programs Group Northern Indiana Public Service Corporation (NIPSCO) offers rebates to residential customers that install energy efficient gas and electric measures in homes through the NIPSCO Energy Efficiency Rebate Program. The program is available to all residential NIPSCO natural gas and electric customers. Flat rebates are offered for natural gas boilers, natural gas

487

Detroit Public Lighting Department - Residential Energy Wise Program |  

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

Detroit Public Lighting Department - Residential Energy Wise Detroit Public Lighting Department - Residential Energy Wise Program Detroit Public Lighting Department - Residential Energy Wise Program < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Heating & Cooling Cooling Appliances & Electronics Commercial Lighting Lighting Program Info State Michigan Program Type Utility Rebate Program Rebate Amount CFLs: $2-$10 LED Task Light: $10.00 LED Night light: $1.25 Energy Star Ceiling Fan: $10 Provider Detroit Public Lighting Department The Detroit Public Lighting Department (PLD) offers residential customers rebates for energy efficient lights. In addition, low-income residential customers may qualify for free compact fluorescent lights (CFLs). Specific rebate amounts, equipment requirements, and applications are available on

488

Colorado Natural Gas Number of Residential Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

Residential Consumers (Number of Elements) Colorado Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

489

Colorado Natural Gas % of Total Residential Deliveries (Percent...  

Annual Energy Outlook 2012 (EIA)

% of Total Residential Deliveries (Percent) Colorado Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

490

Residential Network Members Impact More Than 42,000 Households  

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

Eligible Better Buildings Residential Network members reported completing 27,563 home energy upgrades during 2013 as part of the Residential Network’s first reporting cycle. In addition, 13 Better...

491

Interventions into old residential quarters : the case of Shahjahanabad  

E-Print Network (OSTI)

The thesis develops design guidelines for interventions into residential quarters of the old core cities in the Third World. Their purpose is to provide a suitable framework for developing residential designs maintaining ...

Badshah, Akhtar

1983-01-01T23:59:59.000Z

492

Solar access of residential rooftops in four California cities  

E-Print Network (OSTI)

H. Akbari. Shade trees reduce building energy use and CO 2uence of tree shading on residential energy use for heatingestimates of tree-shade e?ects on residential energy use.

Levinson, Ronnen

2010-01-01T23:59:59.000Z

493

DOE Publishes Final Rule for Residential Furnace Fan Test Procedure...  

Office of Environmental Management (EM)

DOE Publishes Final Rule for Residential Furnace Fan Test Procedure DOE Publishes Final Rule for Residential Furnace Fan Test Procedure January 3, 2014 - 12:00am Addthis The...

494

Connecticut Natural Gas Number of Residential Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

Residential Consumers (Number of Elements) Connecticut Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

495

Connecticut Natural Gas % of Total Residential Deliveries (Percent...  

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

% of Total Residential Deliveries (Percent) Connecticut Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

496

Lane Electric Cooperative- Residential and Commercial Weatherization Grant Program  

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

Lane Electric Cooperative offers energy efficient Weatherization Grant Programs to Lane Electric residential and commercial members: a residential cash grant for 25% of measure costs up to $1,000,...

497

Alternative Fuels Data Center: Residential Electric Vehicle Supply  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Residential Electric Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit to someone by E-mail Share Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on Facebook Tweet about Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on Twitter Bookmark Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on Google Bookmark Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on Delicious Rank Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on Digg Find More places to share Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on AddThis.com...

498

Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls  

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

Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls, from the U.S. Department of Energy.

499

DOE Webinar ? Residential Geothermal Heat Pump Retrofits (Presentation)  

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

DOE webinar, Residential Geothermal Heat Pump Retrofits presented at the DOE EERE Webinar Series on Dec. 14, 2010.

500

Solar Leasing for Residential Photovoltaic Systems (Fact Sheet)  

SciTech Connect

This publication examines the solar lease option for residential PV systems and describes two solar lease programs already in place.

Not Available

2009-02-01T23:59:59.000Z