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1

Commercial and Residential Hourly Load Data Now Available on OpenEI! |  

Open Energy Info (EERE)

Commercial and Residential Hourly Load Data Now Available on OpenEI! Commercial and Residential Hourly Load Data Now Available on OpenEI! Home > Groups > Utility Rate Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 building load building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL I am pleased to announce that simulated hourly residential and commercial building load datasets are now available on OpenEI. These datasets are available for all TMY3 locations in the United States. They contain 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). In addition to various

2

Commercial and Residential Hourly Load Profiles for all TMY3 Locations in  

Open Energy Info (EERE)

and Residential Hourly Load Profiles for all TMY3 Locations in and Residential Hourly Load Profiles for all TMY3 Locations in the United States 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. Hourly load profiles are available for over all TMY3 locations in the United States here. Browse files in this dataset, accessible as individual files and as commercial and residential downloadable ZIP files. This dataset is approximately 4.8GiB compressed or 19GiB uncompressed. July 2nd, 2013 update: Residential High and Low load files have been updated from 366 days in a year for leap years to the more general 365 days in a normal year.

4

Effects of electric utility residential conservation programs on hourly load profiles  

SciTech Connect

This paper discusses the potential of using hourly energy simulation models to determine load shape changes resulting from energy conservation activities. It is determined that shifts in the time and the day of the monthly peak demand may occur as the level of conservation increases. The shifting of the peak was from weather-sensitive periods to less-weather-sensitive periods. Seasonal load profile changes resulting from energy conservation were demonstrated. A statistically significant quadratic relationship was identified between the annual percent reduction and annual percent energy conserved for the different distribution systems examined. The relationships are examined between different levels of residential energy conservation from weatherization and heat pumps on the hourly load profiles of different power distribution systems within the TVA power service area.

Harper, J.P.; Sieber, R.E.

1983-01-01T23:59:59.000Z

5

Observed Temperature Effects on Hourly Residential Electric Load Reduction in Response to an Experimental Critical Peak Pricing Tariff  

E-Print Network (OSTI)

means of decreasing residential energy consumption. Journalreductions gained through residential CPP rates, with or7. Hypothetical effects of residential CPP rates with and

Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

2005-01-01T23:59:59.000Z

6

Observed Temperature Effects on Hourly Residential Electric LoadReduction in Response to an Experimental Critical Peak PricingTariff  

SciTech Connect

The goal of this investigation was to characterize themanual and automated response of residential customers to high-price"critical" events dispatched under critical peak pricing tariffs testedin the 2003-2004 California Statewide Pricing Pilot. The 15-monthexperimental tariff gave customers a discounted two-price time-of-userate on 430 days in exchange for 27 critical days, during which the peakperiod price (2 p.m. to 7 p.m.) was increased to about three times thenormal time-of-use peak price. We calculated response by five-degreetemperature bins as the difference between peak usage on normal andcritical weekdays. Results indicatedthat manual response to criticalperiods reached -0.23 kW per home (-13 percent) in hot weather(95-104.9oF), -0.03 kW per home (-4 percent) in mild weather (60-94.9oF),and -0.07 kW per home (-9 percent) during cold weather (50-59.9oF).Separately, we analyzed response enhanced by programmable communicatingthermostats in high-use homes with air-conditioning. Between 90oF and94.9oF, the response of this group reached -0.56 kW per home (-25percent) for five-hour critical periods and -0.89 kW/home (-41 percent)for two-hour critical periods.

Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

2005-11-14T23:59:59.000Z

7

Observed Temperature Effects on Hourly Residential Electric Load Reduction in Response to an Experimental Critical Peak Pricing Tariff  

E-Print Network (OSTI)

changes to retail electricity rates on an hourly or dailyweekdays 2004 [6] Most electricity rates in use today arerates with control technologies use 30- 40% less electricity

Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

2005-01-01T23:59:59.000Z

8

residential load | OpenEI Community  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL...

9

Residential equipment part load curves for use in DOE-2  

SciTech Connect

DOE-2 (DOE2 90) includes several correlation curves that predict the energy use of systems underpart load conditions. DOE-2 simulates systems on an hour-by-hour basis, so the correlations are intended to predict part load energy use (and efficiency) as a function of the part load ratio (PLR) for each hour, where PLR = Hourly Load/Available Capacity. Generally residential and small commercial HVAC equipment meets the load at off-design conditions by cycling on and off. Therefore, the part load correlations must predict the degradation due to this on and off operation over an hourly interval.

Henderson, Hugh; Huang, Y.J.; Parker, D.

1999-02-01T23:59:59.000Z

10

OpenEI Community - residential load  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Utility Rate OpenEI Community...

11

Investigation of residential central air conditioning load shapes in NEMS  

E-Print Network (OSTI)

of Residential Central Air Conditioning Load Shapes in NEMSof Residential Central Air Conditioning Load Shapes in NEMSof Residential Central Air Conditioning Load Shapes in NEMS

Hamachi LaCommare, Kristina; Marnay, Chris; Gumerman, Etan; Chan, Peter; Rosenquist, Greg; Osborn, Julie

2002-01-01T23:59:59.000Z

12

Building Energy Software Tools Directory : HVAC Residential Load...  

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

HVAC Residential Load Calcs HD for the iPad Back to Tool HVAC Residential Load Calcs HD screenshot HVAC Residential Load Calcs HD screenshot HVAC Residential Load Calcs HD...

13

Building Energy Software Tools Directory: HVAC Residential Load...  

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

HVAC Residential Load Calcs HD for the iPad Carmel Software logo HVAC Residential Load Calcs HD is a comprehensive HVAC heating and cooling load calculation application for the...

14

Climatic indicators for estimating residential heating and cooling loads  

Science Conference Proceedings (OSTI)

An extensive data base of residential energy use generated with the DOE-2.1A simulation code provides an opportunity for correlating building loads predicted by an hourly simulation model to commonly used climatic parameters such as heating and cooling degree-days, and to newer parameters such as insolation-days and latent enthalpy-days. The identification of reliable climatic parameters for estimating cooling loads and the incremental loads for individual building components, such as changing ceiling and wall R-values, infiltration rates or window areas is emphasized.

Huang, Y.J.; Ritschard, R.; Bull, J.; Chang, L.

1986-11-01T23:59:59.000Z

15

Investigation of residential central air conditioning load shapes in NEMS  

SciTech Connect

This memo explains what Berkeley Lab has learned about how the residential central air-conditioning (CAC) end use is represented in the National Energy Modeling System (NEMS). NEMS is an energy model maintained by the Energy Information Administration (EIA) that is routinely used in analysis of energy efficiency standards for residential appliances. As part of analyzing utility and environmental impacts related to the federal rulemaking for residential CAC, lower-than-expected peak utility results prompted Berkeley Lab to investigate the input load shapes that characterize the peaky CAC end use and the submodule that treats load demand response. Investigations enabled a through understanding of the methodology by which hourly load profiles are input to the model and how the model is structured to respond to peak demand. Notably, it was discovered that NEMS was using an October-peaking load shape to represent residential space cooling, which suppressed peak effects to levels lower than expected. An apparent scaling down of the annual load within the load-demand submodule was found, another significant suppressor of the peak impacts. EIA promptly responded to Berkeley Lab's discoveries by updating numerous load shapes for the AEO2002 version of NEMS; EIA is still studying the scaling issue. As a result of this work, it was concluded that Berkeley Lab's customary end-use decrement approach was the most defensible way for Berkeley Lab to perform the recent CAC utility impact analysis. This approach was applied in conjunction with the updated AEO2002 load shapes to perform last year's published rulemaking analysis. Berkeley Lab experimented with several alternative approaches, including modifying the CAC efficiency level, but determined that these did not sufficiently improve the robustness of the method or results to warrant their implementation. Work in this area will continue in preparation for upcoming rulemakings for the other peak coincident end uses, commercial air conditioning and distribution transformers.

Hamachi LaCommare, Kristina; Marnay, Chris; Gumerman, Etan; Chan, Peter; Rosenquist, Greg; Osborn, Julie

2002-05-01T23:59:59.000Z

16

The Temperature Sensitivity of the Residential Load and Commercial Building Load  

SciTech Connect

This paper presents a building modeling approach to quickly quantify climate change impacts on energy consumption, peak load, and load composition of residential and commercial buildings. This research focuses on addressing the impact of temperature changes on the building heating and cooling load in 10 major cities across the Western United States and Canada. A building simulation software are first used to quantify the hourly energy consumption of different building types by end-use and by vintage. Then, the temperature sensitivities are derived based on the climate data inputs.

Lu, Ning; Taylor, Zachary T.; Jiang, Wei; Correia, James; Leung, Lai R.; Wong, Pak C.

2009-07-26T23:59:59.000Z

17

Investigation of Residential Central Air Conditioning Load Shapes in  

E-Print Network (OSTI)

LBNL-52235 Investigation of Residential Central Air Conditioning Load Shapes in NEMS Kristina Laboratory is an equal opportunity employer. #12;#12;LBNL-52235 Investigation of Residential Central Air;#12;Investigation of Residential Central Air Conditioning Load Shapes in NEMS i Table of Contents Acronyms

18

NREL EFM DATA: Disaggregated Residential Load Cost Data The  

Open Energy Info (EERE)

EFM DATA: Disaggregated Residential Load Cost Data The following data-set is for a benchmark residential home for all TMY3 locations across all utilities in the US. The...

19

Testing of Residential Homes under Wind Loads  

Science Conference Proceedings (OSTI)

... At such scales, model dimensions for a residential home are of the order of ... To de- velop flow management devices efficiently, a small-scale (1?8 ...

2013-07-26T23:59:59.000Z

20

Impact of Wind Energy on Hourly Load Following Requirements: An Hourly and Seasonal Analysis; Preprint  

Science Conference Proceedings (OSTI)

The impacts of wind energy on the power system grid can be decomposed into several time scales that include regulation, load following, and unit commitment. Techniques for evaluating the impacts on these time scales are still evolving, and as wind energy becomes a larger part of the electricity supply, valuable experience will be gained that will help refine these methods. Studies that estimated the impact of wind in the load following time scale found differing results and costs, ranging from near zero to approximately $2.50/megawatt-hour (MWh). Part of the reason for these differences is the different interpretation of the impacts that would be allocated to this ancillary service. Because of the low correlation between changes in load and wind, long-term analyses of the load following impact of wind may find low impacts. During the daily load cycle, there is a tremendous variability in load following requirements in systems without wind. When significant levels of wind generation are added to the resource mix, relatively small changes in wind output can complicate the task of balancing the system during periods of large load swings. This paper analyzes the load following impacts of wind by segregating these critical time periods of the day and separating the analysis by season. The analysis compares wind generation at geographically dispersed sites to wind generation based primarily at a single site, and for a large penetration of wind (more than 20% wind capacity to peak load).

Krich, A.; Milligan, M.

2005-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "residential hourly load" 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

Effect of DC Load Currents on Solid State Residential Meters  

Science Conference Proceedings (OSTI)

This report presents results of an extensive laboratory assessment of the impact of DC load currents (including half-wave rectified loads) on the metrological accuracy of residential solid state electricity meters. Sampled surveys were conducted to determine whether products producing DC currents are prevalent in residential premises. In addition, regulations and codes were studied to determine whether such products could naturally appear in the marketplace going forward. Two each of six brands of socket...

2011-12-22T23:59:59.000Z

22

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

E-Print Network (OSTI)

(e.g., HVAC) for a specific building, optimizing control systems and strategies for a buildingPredicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study Richard building energy modeling suffers from several factors, in- cluding the large number of inputs required

Tennessee, University of

23

Distribution substation load impacts of residential air conditioner load control  

SciTech Connect

An ongoing experiment to monitor the substation level load impacts of end-use load control is described. An overview of the data acquisition system, experimental procedures and analysis techniques are provided. Results of the 1983 and 1984 experiments demonstrate the value of aggregate load impact monitoring as a means of verifying load research results, calculating the diversity of end-use loads, and predicting the impacts of load management on the transmission and distribution systems.

Heffner, G.C.; Kaufman, D.A.

1985-07-01T23:59:59.000Z

24

Statistical Review of UK Residential Sector Electrical Loads  

E-Print Network (OSTI)

This paper presents a comprehensive statistical review of data obtained from a wide range of literature on the most widely used electrical appliances in the UK residential load sector. It focuses on individual appliances and begins by consideration of the electrical operations performed by the load. This approach allows for the loads to be categorised based on the electrical characteristics, and also provides information on the reactive power characteristics of the load, which is often neglected from standard consumption statistics. This data is particularly important for power system analysis. In addition to this, device ownership statistics and probability distribution functions of power demand are presented for the main residential loads. Although the data presented is primarily intended as a resource for the development of load profiles for power system analysis, it contains a large volume of information which provides a useful database for the wider research community.

Tsagarakis, G; Kiprakis, A E

2013-01-01T23:59:59.000Z

25

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

26

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

27

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

Science Conference Proceedings (OSTI)

Whole building input models for energy simulation programs are frequently created in order to evaluate specific energy savings potentials. They are also often utilized to maximize cost-effective retrofits for existing buildings as well as to estimate the impact of policy changes toward meeting energy savings goals. Traditional energy modeling suffers from several factors, including the large number of inputs required to characterize the building, the specificity required to accurately model building materials and components, simplifying assumptions made by underlying simulation algorithms, and the gap between the as-designed and as-built building. Prior works have attempted to mitigate these concerns by using sensor-based machine learning approaches to model energy consumption. However, a majority of these prior works focus only on commercial buildings. The works that focus on modeling residential buildings primarily predict monthly electrical consumption, while commercial models predict hourly consumption. This means there is not a clear indicator of which techniques best model residential consumption, since these methods are only evaluated using low-resolution data. We address this issue by testing seven different machine learning algorithms on a unique residential data set, which contains 140 different sensors measurements, collected every 15 minutes. In addition, we validate each learner's correctness on the ASHRAE Great Energy Prediction Shootout, using the original competition metrics. Our validation results confirm existing conclusions that Neural Network-based methods perform best on commercial buildings. However, the results from testing our residential data set show that Feed Forward Neural Networks, Support Vector Regression (SVR), and Linear Regression methods perform poorly, and that Hierarchical Mixture of Experts (HME) with Least Squares Support Vector Machines (LS-SVM) performs best - a technique not previously applied to this domain.

Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

2012-01-01T23:59:59.000Z

28

End-Use Load and Consumer Assessment Program: Analysis of residential refrigerator/freezer performance  

SciTech Connect

The Bonneville Power Administration (Bonneville) is conducting a large end-use data acquisition program in an effort to understand how energy is utilized in buildings with permanent electric space heating equipment in the Pacific Northwest. The initial portion of effort, known as the End-Use Load and Consumer Assessment Program (ELCAP), was conducted for Bonneville by the Pacific Northwest Laboratory (PNL). The collection of detailed end-use data provided an opportunity to analyze the amount of energy consumed by both refrigerators and separate freezers units located in residential buildings. By obtaining this information, the uncertainty of long- term regional end-use forecasting can be improved and potential utility marketing programs for new appliances with a reduced overall energy demand can be identified. It was found that standby loads derived from hourly averages between 4 a.m. and 5 a.m. reflected the minimum consumption needed to maintain interior refrigerator temperatures at a steady-state condition. Next, an average 24-hour consumption that included cooling loads from door openings and cooling food items was also determined. Later, analyses were conducted to develop a model capable of predicting refrigerator standby loads and 24-hour consumption for comparison with national refrigerator label ratings. Data for 140 residential sites with a refrigeration end-use were screened to develop a sample of 119 residences with pure refrigeration for use in this analysis. To identify those refrigerators that were considered to be pure (having no other devices present on the circuit) in terms of their end-use classification, the screening procedure used a statistical clustering technique that was based on standby loads with 24-hour consumption. 5 refs., 18 figs., 4 tabs.

Ross, B.A.

1991-09-01T23:59:59.000Z

29

Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load  

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

Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours Docket No. EO-05-01. Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours. Arial photograph showing plant and location of predicted SO2 violations, predicted in 2000. Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours More Documents & Publications Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 3, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 4, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by

30

Potential Peak Load Reductions From Residential Energy Efficient Upgrades  

E-Print Network (OSTI)

The demand for electricity is continuing to grow at a substantial rate. Utilities are interested in managing this growth's peak demand for a number of reasons including: costly construction of new generation capacity can be deferred; the reliability of the distribution network can be improved; and added environmental pollution can be minimized. Energy efficiency improvements, especially through residential programs, are increasingly being used to mitigate this rise in peak demand. This paper examines the potential peak load reductions from residential energy efficiency upgrades in hot and humid climates. First, a baseline scenario is established. Then, the demand and consumption impacts of individual upgrade measures are assessed. Several of these upgrades are then combined into a package to assess the synergistic demand and energy impacts. A sensitivity analysis is then performed to assess the impacts of housing characteristics on estimated demand and energy savings. Finally, the demand, energy, and environmental impacts are estimated at the community level.

Meisegeier, D.; Howes, M.; King, D.; Hall, J.

2002-01-01T23:59:59.000Z

31

hourly | OpenEI  

Open Energy Info (EERE)

hourly hourly 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 Frequency Annually

32

Investigation of Peak Load Reduction Strategies in Residential Buildings in Cooling Dominated Climates.  

E-Print Network (OSTI)

??This investigation of peak load reduction strategies in residential buildings contributes to the global international efforts in reducing energy consumption and is related directly to… (more)

Atallah, Fady

2013-01-01T23:59:59.000Z

33

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

Science Conference Proceedings (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 ... Keywords: artificial intelligence, energy management systems, fuzzy logic, load behaviour estimation, power system distribution, power system restoration, residential load forecasting, thermostatically controlled loads

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

2005-04-01T23:59:59.000Z

34

Long-term residential load forecasting. Final report  

SciTech Connect

The main objective of this study was to isolate and evaluate the importance of various factors, many of which are household characteristics and weather conditions, that determine the demand for electricity at different times of day. A second purpose was to investigate one of the factors in detail, namely, prices, which was feasible because half of the households in the sample were subjected to time-of-day pricing. Substantial differences between the load curves of the experimental and control groups were found. Households in the experimental group significantly decreased electricity usage when its price was high, the consumption being shifted partly into the early morning hours but more heavily into the evening. The importance of certain appliances in shifting the load curve is also clearly brought out. For example, households with a dishwasher or electric heating appeared to change the timing of use of these appliances under peak-load pricing. Other appliances were also important in determining the load curve for both groups. Swimming pool pumps and air conditioning, for instance, were important determinants in the summer, whereas in the winter, electric heating and dishwashers substantially increased consumption levels.

Granger, C.W.J.; Engle, R.F.; Ramanathan, R.; Andersen, A.

1978-02-01T23:59:59.000Z

35

Testing share & load growth in competitive residential gas markets  

SciTech Connect

The residential market stands as the next frontier for natural gas unbundling. In California, Illinois, Maryland, Massachusetts, New Jersey, New York, Ohio, Pennsylvania and elsewhere, states have introduced pilot programs and other unbundling efforts to target residential gas consumers. These efforts are hardly surprising. The residential market, presently dominated by the regulated local distribution companies, appears lucrative. In 1995, the residential sector of the U.S. natural gas industry consumed 4,736 trillion Btu of natural gas or 32 percent of all natural gas delivered by LDCs in that year. U.S. residential consumers accounted for $28.7 billion or 59 percent of the gas utility industry`s total revenues. Nevertheless, despite all the enthusiasm industry representatives have recently expressed in trade publications and public forums, the creation of a competitive residential market may prove a very slow process. Marketers appear cautious in taking the responsibility of serving residential consumers, and for very good reasons. Gaining a sizable portion of this market requires substantial investment in mass marketing, development of name recognition, acquisition of appropriate technology and employment of skillful personnel. Moreover, residential customers do not behave rationally in a {open_quotes}neoclassical{close_quotes} economic sense. They react not only to a price but to several qualitative factors that have yet to be studied by LDCs and marketers. This article offers results from creating a software program and model that answer two basic questions: (1) What share of the residential natural gas market can be realistically captured by non-regulated suppliers? (2) Will residential unbundling increase total throughput for gas utilities? If so, by how much?

Lonshteyn, A. [Boston Gas Company, MA (United States)

1998-02-15T23:59:59.000Z

36

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

37

NREL EFM DATA: Disaggregated Residential Load Cost Data | OpenEI  

Open Energy Info (EERE)

EFM DATA: Disaggregated Residential Load Cost Data EFM DATA: Disaggregated Residential Load Cost Data Dataset Summary Description The following data-set is for a benchmark residential home for all TMY3 locations across all utilities in the US. The data is indexed by utility service provider which is described by its "unique" EIA ID ( http://205.254.135.24/cneaf/electricity/page/eia861.html), e.g. field A14 references "34", which is the EIA Utility ID for the City of Abbeville, South Carolina Utility Company. Within each data set per utility resides different types of equipment, miscellaneous electric load plugs, and appliances found in "common households" given by costs broken out by months. All data within each cell is a floating point number with the metric of dollars/month, e.g. 0.46 equals $0.46/month of interest. Please note: That costs given are only for electricity costs not gas!

38

Impact of Different Glazing Systems on Cooling Load of a Detached Residential Building at Bhubaneswar, India  

E-Print Network (OSTI)

For detached residential buildings located in the tropics, it is more challenging and difficult to deal with the space cooling load due to hot and humid climates. In this paper, daily and monthly computer simulations of solar heat gain and cooling load for a detached residential building are carried out using Design Builder software. Different glazing systems ranging from single glazed clear glass to double glaze with electro chromic reflective colored have been analyzed in terms of their impact on solar heat gain and cooling load. The simulation results show reductions in solar heat gain, cooling load and better thermal comfort can be achieved using proper glazing systems for a specific orientation of the building. The significance of these results stems from the fact that they are obtained under local weather conditions, a matter of importance to building architects, designers, contractors, and builders as well as air conditioning equipment manufacturers.

Sahoo, P. K.; Sahoo, R.

2010-01-01T23:59:59.000Z

39

Cooling-load implications for residential passive-solar-heating systems  

DOE Green Energy (OSTI)

Ongoing research on quantifying the cooling loads in residential buildings, particularly buildings with passive solar heating systems, is described, along with the computer simulation model used for calculating cooling loads. A sample of interim results is also presented. The objective of the research is to develop a simple analysis method, useful early in design, to estimate the annual cooling energy requirement of a given building.

Jones, R.W.; McFarland, R.D.

1983-01-01T23:59:59.000Z

40

load profile | OpenEI Community  

Open Energy Info (EERE)

load profile Home Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 13:03 Commercial and Residential Hourly Load Data Now Available on OpenEI building load building...

Note: This page contains sample records for the topic "residential hourly load" 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

Climate Change Impacts on Residential and Commercial Loads in the Western U.S. Grid  

SciTech Connect

This report presents a multi-disciplinary modeling approach to quickly quantify climate change impacts on energy consumption, peak load, and load composition of residential and commercial buildings. This research focuses on addressing the impact of temperature changes on the building cooling load in 10 major cities across the Western United States and Canada. Our results have shown that by the mid-century, building yearly energy consumption and peak load will increase in the Southwest. Moreover, the peak load months will spread out to not only the summer months but also spring and autumn months. The Pacific Northwest will experience more hot days in the summer months. The penetration of the air conditioning (a/c) system in this area is likely to increase significantly over the years. As a result, some locations in the Pacific Northwest may be shifted from winter peaking to summer peaking. Overall, the Western U.S. grid may see more simultaneous peaks across the North and South in summer months. Increased cooling load will result in a significant increase in the motor load, which consumes more reactive power and requires stronger voltage support from the grid. This study suggests an increasing need for the industry to implement new technology to increase the efficiency of temperature-sensitive loads and apply proper protection and control to prevent possible adverse impacts of a/c motor loads.

Lu, Ning; Taylor, Zachary T.; Jiang, Wei; Xie, YuLong; Leung, Lai R.; Correia, James; Wong, Pak C.; Mackey, Patrick S.; Paget, Maria L.

2008-09-30T23:59:59.000Z

42

After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-load Equipment  

Science Conference Proceedings (OSTI)

This research was conducted in support of two branches of the EPA ENERGY STAR program, whose overall goal is to reduce, through voluntary market-based means, the amount of carbon dioxide emitted in the U.S. The primary objective was to collect data for the ENERGY STAR Office Equipment program on the after-hours power state of computers, monitors, printers, copiers, scanners, fax machines, and multi-function devices. We also collected data for the ENERGY STAR Commercial Buildings branch on the types and amounts of ''miscellaneous'' plug-load equipment, a significant and growing end use that is not usually accounted for by building energy managers. This data set is the first of its kind that we know of, and is an important first step in characterizing miscellaneous plug loads in commercial buildings. The main purpose of this study is to supplement and update previous data we collected on the extent to which electronic office equipment is turned off or automatically enters a low power state when not in active use. In addition, it provides data on numbers and types of office equipment, and helps identify trends in office equipment usage patterns. These data improve our estimates of typical unit energy consumption and savings for each equipment type, and enables the ENERGY STAR Office Equipment program to focus future effort on products with the highest energy savings potential. This study expands our previous sample of office buildings in California and Washington DC to include education and health care facilities, and buildings in other states. We report data from twelve commercial buildings in California, Georgia, and Pennsylvania: two health care buildings, two large offices (> 500 employees each), three medium offices (50-500 employees), four education buildings, and one ''small office'' that is actually an aggregate of five small businesses. Two buildings are in the San Francisco Bay area of California, five are in Pittsburgh, Pennsylvania, and five are in Atlanta, Georgia.

Roberson, Judy A.; Webber, Carrie A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Margaret J.; Busch, John F.

2004-01-22T23:59:59.000Z

43

A degree-day method for residential heating load calculations specifically incorporating the utilization of solar gains  

DOE Green Energy (OSTI)

A simple and well known method of estimating residential heating loads is the variable base degree-day method, in which the steady-state heat loss rate (UA) is multiplied by the degree-days based from the balance temperature of the structure. The balance temperature is a function of the UA as well as the average rate of internal heat gains, reflecting the displacement of the heating requirements by these gains. Currently, the heat gains from solar energy are lumped with those from appliances to estimate an average rate over the day. This ignores the effects of the timing of the gains from solar energy, which are more highly concentrated during daytime hours, hence more frequently exceeding the required space heat and less utilizable than the gains from appliances. Simulations or specialized passive solar energy calculation methods have previously been required to account for this effect. This paper presents curves of the fraction of the absorbed solar energy utilized for displacement of space heat, developed by comparing heating loads calculated using a variable base degree-day method (ignoring solar gains) to heating loads from a large number of detailed DOE-2 simulations. The difference in the loads predicted by the two methods can be interpreted as the utilized solar gains. The solar utilization decreases as the thermal integrity increases, as expected, and the solar utilizations are similar across climates. They can be used to estimate the utilized fraction of the absorbed solar energy and, with the load predicted by the variable base degree-day calculation, form a modified degree-day method that closely reproduces the loads predicted by the DOE-2 simulation model and is simple enough for hand calculations. 6 refs., 6 figs., 2 tabs.

Lucas, R.G.; Pratt, R.G.

1990-09-01T23:59:59.000Z

44

Estimating Demand Response Load Impacts: Evaluation of BaselineLoad Models for Non-Residential Buildings in California  

SciTech Connect

Both Federal and California state policymakers areincreasingly interested in developing more standardized and consistentapproaches to estimate and verify the load impacts of demand responseprograms and dynamic pricing tariffs. This study describes a statisticalanalysis of the performance of different models used to calculate thebaseline electric load for commercial buildings participating in ademand-response (DR) program, with emphasis onthe importance of weathereffects. During a DR event, a variety of adjustments may be made tobuilding operation, with the goal of reducing the building peak electricload. In order to determine the actual peak load reduction, an estimateof what the load would have been on the day of the event without any DRactions is needed. This baseline load profile (BLP) is key to accuratelyassessing the load impacts from event-based DR programs and may alsoimpact payment settlements for certain types of DR programs. We testedseven baseline models on a sample of 33 buildings located in California.These models can be loosely categorized into two groups: (1) averagingmethods, which use some linear combination of hourly load values fromprevious days to predict the load on the event, and (2) explicit weathermodels, which use a formula based on local hourly temperature to predictthe load. The models were tested both with and without morningadjustments, which use data from the day of the event to adjust theestimated BLP up or down.Key findings from this study are: - The accuracyof the BLP model currently used by California utilities to estimate loadreductions in several DR programs (i.e., hourly usage in highest 3 out of10 previous days) could be improved substantially if a morning adjustmentfactor were applied for weather-sensitive commercial and institutionalbuildings. - Applying a morning adjustment factor significantly reducesthe bias and improves the accuracy of all BLP models examined in oursample of buildings. - For buildings with low load variability, all BLPmodels perform reasonably well in accuracy. - For customer accounts withhighly variable loads, we found that no BLP model produced satisfactoryresults, although averaging methods perform best in accuracy (but notbias). These types of customers are difficult to characterize withstandard BLP models that rely on historic loads and weather data.Implications of these results for DR program administrators andpolicymakersare: - Most DR programs apply similar DR BLP methods tocommercial and industrial sector customers. The results of our study whencombined with other recent studies (Quantum 2004 and 2006, Buege et al.,2006) suggests that DR program administrators should have flexibility andmultiple options for suggesting the most appropriate BLP method forspecific types of customers.

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote,Sila

2008-01-01T23:59:59.000Z

45

Use of Residential Smart Appliances for Peak-Load Shifting and Spinning Reserves Cost/Benefit Analysis  

Science Conference Proceedings (OSTI)

In this report, we present the results of an analytical cost/benefit study of residential smart appliances from a utility/grid perspective in support of a joint stakeholder petition to the ENERGY STAR program within the Environmental Protection Agency (EPA) and Department of Energy (DOE). The goal of the petition is in part to provide appliance manufacturers incentives to hasten the production of smart appliances. The underlying hypothesis is that smart appliances can play a critical role in addressing some of the societal challenges, such as anthropogenic global warming, associated with increased electricity demand, and facilitate increased penetration of renewable sources of power. The appliances we consider include refrigerator/freezers, clothes washers, clothes dryers, room air-conditioners, and dishwashers. The petition requests the recognition that providing an appliance with smart grid capability, i.e., products that meet the definition of a smart appliance, is at least equivalent to a corresponding five percent in operational machine efficiencies. It is then expected that given sufficient incentives and value propositions, and suitable automation capabilities built into smart appliances, residential consumers will be adopting these smart appliances and will be willing participants in addressing the aforementioned societal challenges by more effectively managing their home electricity consumption. The analytical model we utilize in our cost/benefit analysis consists of a set of user-definable assumptions such as the definition of on-peak (hours of day, days of week, months of year), the expected percentage of normal consumer electricity consumption (also referred to as appliance loads) that can shifted from peak hours to off-peak hours, the average power rating of each appliance, etc. Based on these assumptions, we then formulate what the wholesale grid operating-cost savings, or benefits, would be if the smart capabilities of appliances were invoked, and some percentage of appliance loads were shifted away from peak hours to run during off-peak hours, and appliance loads served power-system balancing needs such as spinning reserves that would otherwise have to be provided by generators. The rationale is that appliance loads can be curtailed for about ten minutes or less in response to a grid contingency without any diminution in the quality of service to the consumer. We then estimate the wholesale grid operating-cost savings based on historical wholesale-market clearing prices (location marginal and spinning reserve) from major wholesale power markets in the United States. The savings derived from the smart grid capabilities of an appliance are then compared to the savings derived from a five percent increase in traditional operational machine efficiencies, referred to as cost in this report, to determine whether the savings in grid operating costs (benefits) are at least as high as or higher than the operational machine efficiency credit (cost).

Sastry, Chellury; Pratt, Robert G.; Srivastava, Viraj; Li, Shun

2010-12-01T23:59:59.000Z

46

Residential load control and metering equipment: Costs and capabilities: Final report  

SciTech Connect

This report summarizes the current costs and capabilities of commercially available equipment for residential load control and metering. Three categories of equipment are covered: communications systems, customer-side load control devices, and load monitoring and solid state metering equipment. The text of the report provides summary descriptions of the technologies available - their capabilities, characteristics, advantages and disadvantages. A series of tables presents budgetary cost estimates, number of systems installed, and design characteristics for the equipment offered by selected vendors. A list of vendors and contact points (names, addresses, telephone numbers) is provided. Communications systems covered in this report are radio, power line carrier, ripple, wave form modification, telephone, satellite, cable TV and hybrid systems. Customer-side devices include relays and actuators, time clocks, programmable thermostats, duty cycle limiters, smart thermostats, and demand controllers. Load monitoring and metering equipment includes kWh and kW meters, time of use meters, automatic/remote reading systems, multi-register meters, and load profile recorders.

Stickels, T.D.; Markel, L.C.

1987-10-01T23:59:59.000Z

47

Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal  

E-Print Network (OSTI)

--Congestion forecasting, price forecasting, wholesale power market, locational marginal price, load partitioning, convex for system planning.1 Many studies have focused on electricity price forecasting based on statistical tools distributed loads and DC-OPF system variable solutions was identified and applied to forecast congestion

Abdel-Aal, Radwan E.

48

Climatic-related Evaluations of the Summer Peak-Hours' Electric Load in Israel  

Science Conference Proceedings (OSTI)

The interrelationship between the Summer peak electric load in Israel and pertinent meteorological parameters, including the commonly used outdoor biometeorological comfort index, is evaluated conceptually and statistically. Linear regression ...

M. Segal; H. Shafir; M. Mandel; P. Alpert; Y. Balmor

1992-12-01T23:59:59.000Z

49

Development of an Energy-Savings Calculation Methodology for Residential Miscellaneous Electric Loads: Preprint  

SciTech Connect

In order to meet whole-house energy savings targets beyond 50% in residential buildings, it will be essential that new technologies and systems approaches be developed to address miscellaneous electric loads (MELs). These MELs are comprised of the small and diverse collection of energy-consuming devices found in homes, including what are commonly known as plug loads (televisions, stereos, microwaves), along with all hard-wired loads that do not fit into other major end-use categories (doorbells, security systems, garage door openers). MELs present special challenges because their purchase and operation are largely under the control of the occupants. If no steps are taken to address MELs, they can constitute 40-50% of the remaining source energy use in homes that achieve 60-70% whole-house energy savings, and this percentage is likely to increase in the future as home electronics become even more sophisticated and their use becomes more widespread. Building America (BA), a U.S. Department of Energy research program that targets 50% energy savings by 2015 and 90% savings by 2025, has begun to identify and develop advanced solutions that can reduce MELs.

Hendron, R.; Eastment, M.

2006-08-01T23:59:59.000Z

50

load | OpenEI  

Open Energy Info (EERE)

load load 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 (9 months ago) Date Updated July 02nd, 2013 (7 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 Frequency Annually

51

Evaluation of solar gain through skylights for inclusion in the SP53 residential building loads data base  

DOE Green Energy (OSTI)

The energy performance of skylights is similar to that of windows in admitting solar heat gain, while at the same time providing a pathway for convective and conductive heat transfer through the building envelope. Since skylights are typically installed at angles ranging from 0{degrees} to 45{degrees}, and differ from windows in both their construction and operation, their conductive and convective heat gains or losses, as well as solar heat gain, will differ for the same rough opening and thermal characteristics. The objective of this work is to quantify the impact of solar gain through skylights on building heating and cooling loads in 45 climates, and to develop a method for including these data into the SP53 residential loads data base previously developed by LBL in support of DOE`s Automated Residential Energy Standard (ARES) program. The authors used the DOE-2.1C program to simulate the heating and cooling loads of a prototypical residential building while varying the size and solar characteristics of skylights and windows. The results are presented as Skylight Solar Loads, which are the contribution of solar gains through skylights to the overall building heating and cooling loads, and as Skylight Solar Load Ratios, which are the ratios of skylight solar loads to those for windows with the same orientation. The study shows that skylight solar loads are larger than those for windows in both heating and cooling. Skylight solar cooling loads are from three to four times greater than those for windows regardless of the skylight tilt, except for those facing north. These cooling loads are largest for south-facing skylights at a tilt angle of approximately 20{degrees}, and drop off at higher tilts and other orientations.

Hanford, J.W.; Huang, Y.J.

1993-12-01T23:59:59.000Z

52

After-hours power status of office equipment and energy use of miscellaneous plug-load equipment  

E-Print Network (OSTI)

industrial refrigerator, S freezer incandescent tracklight, 50 lamps each phone/PBX centrex system coffee maker, residential model microwave oven

Roberson, Judy A.; Webber, Carrie A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Margaret; Busch, John F.

2004-01-01T23:59:59.000Z

53

Evaluation on Cooling Energy Load with Varied Envelope Design for High-Rise Residential Buildings in Malaysia  

E-Print Network (OSTI)

With the development of the economy in the recent years, Malaysia is maintaining a high economic growth and therefore, its energy consumption increases dramatically. Residential buildings are characterized by being envelope-load dominated buildings, hence are greatly influenced by the outside climatic conditions. Due to the hot humid climate of Malaysia, air conditioning system accounts for more than 45% of the total electricity used in the residential sector which is required to remove substantial amount of gained heat due to poor thermal envelope performance. This paper uses Ecotect software to analyze the impact of building envelope design on energy cooling load for residential building in Penang, Malaysia, which include area ratio of window to floor, exterior wall thermal insulation, and several kinds of shading system. This paper describes an integrated passive design approach to reduce the cooling requirement for high-rise apartments through an improved building envelope design. Comparing with the other passive strategies investigated in this paper, the results indicated that exterior wall thermal insulation is the best strategy to decrease both annual cooling energy load and peak cooling load which achieved a reduction of 10.2% and 26.3% respectively. However, the other passive strategies applied also have some marginal effect on decreasing the cooling load.

Al-Tamimi, N.; Fadzil, S.

2010-01-01T23:59:59.000Z

54

A Field Study on Residential Air Conditioning Peak Loads During Summer in College Station, Texas  

E-Print Network (OSTI)

Severe capacity problems are experienced by electric utilities during hot summer afternoons. Several studies have found that, in large part, electric peak loads can be attributed to residential airconditioning use. This air-conditioning peak depends primarily on two factors: (i) the manner in which the homeowner operates his air-conditioner during the hot summer afternoons, and (ii) the amount by which the air-conditioner has been over-designed. Whole-house and air-conditioner electricity use data at 15 minute time intervals have been gathered and analyzed for 8 residences during the summer of 1991, six of which had passed the College Station Good Cents tests. Indoor air temperatures were measured by a mechanical chart recorder, while a weather station located on the main campus of Texas A&M university provided the necessary climatic data, especially ambient temperature, relative humidity and solar radiation. The data were analysed to determine the extent to which air-conditioning over-sizing and homeowner intervention contributes to peak electricity use for newer houses in College Station, Texas.

Reddy, T. A.; Vaidya, S.; Griffith, L.; Bhattacharyya, S.; Claridge, D. E.

1992-01-01T23:59:59.000Z

55

Optimizing Load Control For A Residential Microgrid In A Collaborative Environment.  

E-Print Network (OSTI)

??Rosenberger, Jay This research is aimed to develop an analytical model for a Residential Microgrid under a collaborative environment. In order to maximize profit, Collaborative… (more)

Ahmadi, Majid

2013-01-01T23:59:59.000Z

56

Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings in California  

E-Print Network (OSTI)

This  baseline  load  profile  (BLP)  is  key  to to  as  the  baseline  load  profile  or  BLP  and  is  key actual  and  estimated  load  profiles  look,  Figure  1 

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

2008-01-01T23:59:59.000Z

57

Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings in California  

E-Print Network (OSTI)

energy  use  for  space  conditioning,  non? weather Physically,  space?conditioning  loads  are  affected  by 

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

2008-01-01T23:59:59.000Z

58

building load | OpenEI  

Open Energy Info (EERE)

load load 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 (9 months ago) Date Updated July 02nd, 2013 (7 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 Frequency Annually

59

Observed Temperature Effects on Hourly Residential Electric Load Reduction in Response to an Experimental Critical Peak Pricing Tariff  

E-Print Network (OSTI)

by building type and climate zone with the intent ofWe roughly describe the climate zones as Coast, Foothills,group A. Stratum B. SPP climate zone - description 1- Coast

Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

2005-01-01T23:59:59.000Z

60

Please cite this article in press as: R.E. Edwards, et al., Predicting future hourly residential electrical consumption: A machine learning case study, Energy Buildings (2012), doi:10.1016/j.enbuild.2012.03.010  

E-Print Network (OSTI)

-offs in the building design process, sizing components (e.g., HVAC) for a specific building, optimizing control systemsPlease cite this article in press as: R.E. Edwards, et al., Predicting future hourly residential.03.010 ARTICLE IN PRESSG Model ENB-3661; No.of Pages13 Energy and Buildings xxx (2012) xxx­xxx Contents lists

Parker, Lynne E.

Note: This page contains sample records for the topic "residential hourly load" 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

Statistical Analysis of Baseline Load Models for Non-Residential Buildings  

E-Print Network (OSTI)

estimation of the baseline load profile. In this paper, weDemand response, Baseline load profile, Impacts estimationto as the baseline load profile (or baseline) and is key to

Coughlin, Katie

2012-01-01T23:59:59.000Z

62

Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings in California  

E-Print Network (OSTI)

Protocols  for  Demand  Response  Load  Impacts  Estimates, Potter  2006.     The  Demand  Response Baseline, v.1.75.   Assessment  of  Demand  Response  and  Advanced  Metering, 

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

2008-01-01T23:59:59.000Z

63

RESIDENTIAL THERMOSTATS: COMFORT CONTROLS IN CALIFORNIA HOMES  

E-Print Network (OSTI)

Report on Applicability of Residential Ventilation StandardsCharacterization of Residential New Construction PracticesJ - Load Calculation for Residential Winter and Summer Air

Meier, Alan K.

2008-01-01T23:59:59.000Z

64

After-hours power status of office equipment and energy use of miscellaneous plug-load equipment  

Science Conference Proceedings (OSTI)

This research was conducted in support of two branches of the EPA ENERGY STAR program, whose overall goal is to reduce, through voluntary market-based means, the amount of carbon dioxide emitted in the U.S. The primary objective was to collect data for the ENERGY STAR Office Equipment program on the after-hours power state of computers, monitors, printers, copiers, scanners, fax machines, and multi-function devices. We also collected data for the ENERGY STAR Commercial Buildings branch on the types and amounts of miscellaneous plug-load equipment, a significant and growing end use that is not usually accounted for by building energy managers. For most types of miscellaneous equipment, we also estimated typical unit energy consumption in order to estimate total energy consumption of the miscellaneous devices within our sample. This data set is the first of its kind that we know of, and is an important first step in characterizing miscellaneous plug loads in commercial buildings. The main purpose of this study is to supplement and update previous data we collected on the extent to which electronic office equipment is turned off or automatically enters a low power state when not in active use. In addition, it provides data on numbers and types of office equipment, and helps identify trends in office equipment usage patterns. These data improve our estimates of typical unit energy consumption and savings for each equipment type, and enables the ENERGY STAR Office Equipment program to focus future effort on products with the highest energy savings potential. This study expands our previous sample of office buildings in California and Washington DC to include education and health care facilities, and buildings in other states. We report data from sixteen commercial buildings in California, Georgia, and Pennsylvania: four education buildings, two medical buildings, two large offices (> 500 employees each), three medium offices (50-500 employees each), and five small business offices (< 50 employees each). Two buildings are in the San Francisco Bay are a of California, nine (including the five small businesses) are in Pittsburgh, Pennsylvania, and five are in Atlanta, Georgia.

Roberson, Judy A.; Webber, Carrie A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Marageret J.; Busch, John F.

2004-05-27T23:59:59.000Z

65

OpenEI Community - load profile  

Open Energy Info (EERE)

/0 en Commercial and /0 en Commercial and Residential Hourly Load Data Now Available on OpenEI! http://en.openei.org/community/blog/commercial-and-residential-hourly-load-data-now-available-openei <span class=Load data" src="http://en.openei.org/community/files/load_data_figure_small.jpg" style="width:527px; height:285px" title="" />Image source: NREL 

Files: 
application/zip icon

66

Statistical Analysis of Baseline Load Models for Non-Residential Buildings  

SciTech Connect

Policymakers are encouraging the development of standardized and consistent methods to quantify the electric load impacts of demand response programs. For load impacts, an essential part of the analysis is the estimation of the baseline load profile. In this paper, we present a statistical evaluation of the performance of several different models used to calculate baselines for commercial buildings participating in a demand response program in California. In our approach, we use the model to estimate baseline loads for a large set of proxy event days for which the actual load data are also available. Measures of the accuracy and bias of different models, the importance of weather effects, and the effect of applying morning adjustment factors (which use data from the day of the event to adjust the estimated baseline) are presented. Our results suggest that (1) the accuracy of baseline load models can be improved substantially by applying a morning adjustment, (2) the characterization of building loads by variability and weather sensitivity is a useful indicator of which types of baseline models will perform well, and (3) models that incorporate temperature either improve the accuracy of the model fit or do not change it.

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

2008-11-10T23:59:59.000Z

67

load data | OpenEI Community  

Open Energy Info (EERE)

51 51 Varnish cache server Home Groups Community Central Green Button Applications Developer Utility Rate FRED: FRee Energy Database More Public Groups Private Groups Features Groups Blog posts Content Stream Documents Discussions Polls Q & A Events Notices My stuff Energy blogs 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142234851 Varnish cache server load data Home Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 Commercial and Residential Hourly Load Data Now Available on OpenEI! building load building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: application/zip icon System Advisor Model Tool for Downloading Load Data

68

The Potential of Vegetation in Reducing Summer Cooling Loads in Residential Buildings  

Science Conference Proceedings (OSTI)

The potential of trees and other vegetation to reduce building cooling loads has been recorded in a number of studies but the meso- and microclimate changes producing such savings are not well understood. This paper describes a preliminary ...

Y. J. Huang; H. Akbari; H. Taha; A. H. Rosenfeld

1987-09-01T23:59:59.000Z

69

Microturbines - an economic and reliability evaluation for commercial, residential, and remote load applications  

Science Conference Proceedings (OSTI)

Most distributed self-generation operates base loaded and in parallel with the electric utility system (1) to minimize peak loads, (2) to improve reliability, (3) to eliminate the need for reserve margin (standby) and (4) may or may not sell back excess generation. This paper examines the economics of distributed microturbine generation operating isolated from the electric utility system and having enough reserve margin to either match or improve the existing reliability of service provided by central station generation and the T and D system. This analysis shows the isolated operation of microturbines with a reserve margin can provide the same or a higher level of reliability as the electric utility, yet the costs can be lower. Sensitivity analysis for different investment costs, O and M costs, fuel costs, reliability, load shapes (load factors), and alternative fuels were performed and the economic comparisons are made in terms of {cents}/kWh. This analysis shows a strong economic preference in applying microturbines to high load factor commercial loads. The cost of standby (from the utility) was found to be from .52 to 2.09{cents}/kWh greater than if the microturbine generation provided its own standby through a built in reserve margin.

Davis, M.W.; Gifford, A.H.; Krupa, T.J.

1999-11-01T23:59:59.000Z

70

Regional load-curve models: QUERI's model long-run forecasts and sensitivity analysis. Volume 4. Final report. [Hourly demand in 32 US regions  

SciTech Connect

This report presents detailed forecasts of the hourly demand for electricity in 32 regions of the US through the year 2000. The forecasts are generated by a load curve model estimated by QUERI and described in Volume II of this report. Two primary sets of input assumptions for this model are utilized: one based on DRI's macro, regional and sectoral models is called the Baseline Scenario while the other, which is a projection of historical trends, is the Extrapolation Scenario. Under both assumptions, the growth rates of electricity are forecast to slow from historical levels. Load factors are generally projected to continue to decline; most regions are forecast to remain Summer peaking but this is rather sensitive to the choice of scenario. By considering other scenarios which are small perturbations of the Baseline assumptions, elasticities of average, peak and hourly loads are calculated. Different weather assumptions are also examined for the sensitivity of the load shapes to changes in the weather.

Engle, R.F.; Granger, C.W.J.; Ramanathan, R.

1981-09-01T23:59:59.000Z

71

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

Modeling alternative residential peak-load electricity rateKeywords: electricity rates, residential electricity, demandrates be targeted to the largest residential users of electricity,

Herter, Karen

2006-01-01T23:59:59.000Z

72

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

L.R. Modeling alternative residential peak-load electricitydemand response to residential critical peak pricing (CPP)analysis of California residential customer response to

Herter, Karen

2006-01-01T23:59:59.000Z

73

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

74

Analytical study of residential building with reflecting roofs  

SciTech Connect

This report presents an analysis of the effect of roof solar reflectance on the annual heating (cooling) loads, peak heating (cooling) loads, and roof temperatures of the residential buildings. The annual heating (cooling) loads, peak heating (cooling) loads, and exterior roof temperatures for a small compact ranch house are computed using the Thermal Analysis Research Program (TARP). The residential models, with minor modifications in the thermal envelope for different locations, are subjected to hourly weather data for one year compiled in the Weather Year for Energy Calculation (WYEC) for in the following locations: Birmingham, Alabama; Bismarck, North Dakota; Miami, Florida; Phoenix, Arizona; Portland, Maine; and, Washington, D.C. Building loads have been determined for a full factorial experimental design that varies the following parameters of the residential model: solar reflectance of the roof, ceiling thermal resistance, attic ventilation, and attic mass framing area. The computed results for annual heating (cooling) loads and peak heating (cooling) loads are illustrated graphically, both globally for all cities and locally for each geographic location. The effect of peak parameter is ranked (highest to lowest) for effect on annual heating and cooling loads, and peak heating and cooling loads. A parametric study plots the building loads as a function of roof solar reflectance for different levels of ceiling thermal resistances and for each geographic location.

Zarr, R.R.

1998-10-01T23:59:59.000Z

75

Residential Performance  

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

Residential Performance: guidelines, analysis and measurements of window and skylight performance Windows in residential buildings consume approximately 2% of all the energy used...

76

building load data | OpenEI Community  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL...

77

electric load data | OpenEI Community  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL...

78

commercial load | OpenEI Community  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL...

79

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

80

NREL: Residential Soft Costs Data Collection 2012  

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

A), how many labor hours (both full-time employees and contract labor) per residential PV installation were spent on the following? Labor HoursInstallation a) Preparing a...

Note: This page contains sample records for the topic "residential hourly load" 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

OpenEI Community - load data  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Utility Rate OpenEI Community...

82

OpenEI Community - electric load data  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Utility Rate OpenEI Community...

83

OpenEI Community - building load  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Utility Rate OpenEI Community...

84

OpenEI Community - commercial load  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Utility Rate OpenEI Community...

85

OpenEI Community - building load data  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Utility Rate OpenEI Community...

86

Atlanta residential energy consumption. Final report  

SciTech Connect

Energy consumption in Atlanta, Ga., was analyzed for single - family, townhouse, low - rise, and high - rise structures for 1955, which was selected as a typical weather year. A two - step procedure was employed in calculating energy requirements. In the first step, hourly heating and cooling loads were determined for each dwelling unit. In the second step, monthly and annual energy required to meet heating and cooling loads was calculated using specific heating, cooling, and ventilation systems. Design and structural features considered important in defining the residential structures were construction details and materials, heating and cooling equipment, types of fuels and energy used, and appliances and their energy consumption levels. Lifestyle parameters incorporated in the analysis included thermostat set points, relative humidity set points, type and number of appliances, daily profile of appliance use, and use of ventilation fans. The computer program for determining heating and cooling loads, or heat delivery / removal requirements, for each residence involved subroutines for ascertaining hourly load contributions throughout the year due to conduction, convection, air infiltration, radiation, and internal heat gain. The low - rise type of structure had a cooling load that was more than twice as large as the heating load. The other structures had cooling loads about 1.5 times as large as heating loads. Energy - conserving modifications, involving both structural and comfort control system changes, resulted in the following: single - family and townhouse residences achieved a 32 - percent annual heating load reduction and a 16 - percent cooling load reduction through structural modifications; and low - rise and high - rise residences achieved a 43 - percent reduction in primary energy consumption. Supporting data, illustrative layouts of the residences, and references are included.

Reed, J.E.; Barber, J.E.; White, B.

1976-08-01T23:59:59.000Z

87

Residential Energy Usage Comparison: Findings  

Science Conference Proceedings (OSTI)

The load shapes of major residential electric and gas appliances were compared in an integrated load and market research project in southern California. The energy consumption data provide a benchmark for comparing the costs of alternative technologies; the market research data relate customer attitudes with appliance load shapes.

1991-08-19T23:59:59.000Z

88

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

89

How and why distribution loads vary  

SciTech Connect

Because the maximum-use rates of gas customers having differing appliance combinations do not coincide, a distribution system's peak-hour flow rate depends on the relative proportions of the load contributed by the appliances of all the different types of residential, commercial, and industrial customers. The maximum load on Central Hudson's distribution system coincides with the maximum hourly gas flow rate for all residential space-heating purposes; however, Central Hudson analyzes the peak-hour load of its commercial and industrial customers individually. The gas-system sendout presented as a sendout-duration curve is a convenient way to show how these various loads determine gas requirements and to compare the economics of alternative supply methods. The sendout-duration curve consists of long-term weather data plotted against time intervals of 1-365 days. If the threshold temperature and the heating load per degree-day are known, the curve allows the calculation of both normal and design annual peakshaving quantities.

Haber, D.P.

1980-01-01T23:59:59.000Z

90

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

91

Regional Residential  

Gasoline and Diesel Fuel Update (EIA)

upward pressure from crude oil markets, magnified by a regional shortfall of heating oil supplies, residential prices rose rapidly to peak February 7. The problem was...

92

Does EIA publish data on peak or hourly electricity ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial ... load (or demand) data in our Electric Power Annual ... hourly load/demand profiles for some Independent ...

93

Teach Yourself in 24 Hours  

E-Print Network (OSTI)

"ations .................................................. 302 Reclaiming Memory with the kill Command .................................. 303 Getting System Load in a retrieval system, or transmitted by any means, electronic, mechanical, photo- copying, recording 1 Hour 1 Preparing to Install Linux 3 2 Installing Linux 11 3 Configuring the X Window System 31

Eckmiller, Rolf

94

Minneapolis residential energy consumption. Final report  

SciTech Connect

This report deals with residential energy consumption in single - family, townhouse, low - rise, and high - rise structures in Minnapolis, Minn., with the year 1957 chosen as a typical weather year for the area. Design and structural features considered important in defining the residences were structural parameters (construction details, dimensions, and materials), energy consumption parameters (heating and cooling equipment, types of fuels and energy used, and appliances and their energy consumption levels), and lifestyle parameters (thermostat set points, relative humidity set points, type and number of appliances, daily profile of appliance use, and use of ventilation fans). Annual heating and cooling loads and resultant energy requirements were calculated using a time - response computer program. This program included subroutines for determining hourly load contributions throughout the year due to conduction, convection, air infiltration, radiation, and internal heat gain. The heating load was significantly higher than the cooling load for single - family and townhouse residences, as would be expected for the cold Minneapolis climate. Due to increased internal heat generation, low - rise and high - rise cooling and heating loads were similar in magnitude. Energy - conserving modifications involving both structural and comfort control system changes resulted in the following: single - family residences consumed 47 percent, townhouse residences consumed 52 percent, low - rise residences consumed 53 percent, and high - rise residences consumed 34 percent of the primary energy required by the characteristic residence. Supporting data, layouts of the residences, and references are included.

Reed, J.E.; Barber, J.E.; White, B.

1976-11-01T23:59:59.000Z

95

PQ TechWatch: Understanding and Managing Residential Power Quality  

Science Conference Proceedings (OSTI)

This PQ TechWatch examines the changing face of the appliances providing the largest share of the power consumption in residential sites, and then it looks on the horizon at new additions to the residential load profile.

2009-12-11T23:59:59.000Z

96

Detailed residential electric determination  

DOE Green Energy (OSTI)

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

97

Residential Programmable Communicating Thermostats  

Science Conference Proceedings (OSTI)

Residential programmable communicating thermostats (PCTs) enable demand response and offer a convenient energy management option for the consumer. PCTs allow customers to program and control temperature set-points remotely, primarily through the Internet. Additionally, some of these thermostats can be remotely controlled by utilities or third parties to curtail heating and cooling loads during periods of peak electricity demand. This Technology Brief, prepared for the Energy Efficiency Initiative, presen...

2007-12-05T23:59:59.000Z

98

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

DOE Green Energy (OSTI)

An increasing number of energy efficient appliances operate on direct current (DC) internally, offering the potential to use DC from renewable energy systems directly and avoiding the losses inherent in converting power to alternating current (AC) and back. This paper investigates that potential for net-metered residences with on-site photovoltaics (PV) by modeling the net power draw of the ‘direct-DC house’ with respect to today’s typical configuration, assuming identical DC-internal loads. Power draws were modeled for houses in 14 U.S. cities, using hourly, simulated PV-system output and residential loads. The latter were adjusted to reflect a 33% load reduction, representative of the most efficient DC-internal technology, based on an analysis of 32 electricity end-uses. The model tested the effect of climate, electric vehicle (EV) loads, electricity storage, and load shifting on electricity savings; a sensitivity analysis was conducted to determine how future changes in the efficiencies of power system components might affect savings potential. Based on this work, we estimate that net-metered PV residences could save 5% of their total electricity load for houses without storage and 14% for houses with storage. Based on residential PV penetration projections for year 2035 obtained from the National Energy Modeling System (2.7% for the reference case and 11.2% for the extended policy case), direct-DC could save the nation 10 trillion Btu (without storage) or 40 trillion Btu (with storage). Shifting the cooling load by two hours earlier in the day (pre-cooling) has negligible benefits for energy savings. Direct-DC provides no energy savings benefits for EV charging, to the extent that charging occurs at night. However, if charging occurred during the day, for example with employees charging while at work, the benefits would be large. Direct-DC energy savings are sensitive to power system and appliance conversion efficiencies but are not significantly influenced by climate. While direct-DC for residential applications will most likely arise as a spin-off of developments in the commercial sector—because of lower barriers to market entry and larger energy benefits resulting from the higher coincidence between load and insolation—this paper demonstrates that there are substantial benefits in the residential sector as well. Among residential applications, space cooling derives the largest energy savings from being delivered by a direct-DC system. It is the largest load for the average residence on a national basis and is particularly so in high-load regions. It is also the load with highest solar coincidence.

Garbesi, Karina; Vossos, Vagelis; Sanstad, Alan; Burch, Gabriel

2011-10-13T23:59:59.000Z

99

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

100

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

Note: This page contains sample records for the topic "residential hourly load" 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

Guidelines for residential commissioning  

E-Print Network (OSTI)

Potential Benefits of Commissioning California Homes”.Delp. 2000. “Residential Commissioning: A Review of Relatedfor Evaluating Residential Commissioning Metrics” Lawrence

Wray, Craig P.; Walker, Iain S.; Sherman, Max H.

2003-01-01T23:59:59.000Z

102

U.S. Residential Electricity Use Trends  

Science Conference Proceedings (OSTI)

This report summarizes electricity end use in the residential sector, with national level and regional level data. Load shapes for residential energy use are also provided, with focus on two example U.S. Census region divisions: East South Central and Mountain.

2008-08-29T23:59:59.000Z

103

Residential Power Systems for Distributed Generation Markets  

Science Conference Proceedings (OSTI)

This report is an update to "Technology Assessment of Residential Power Systems for Distributed Generation Markets" (EPRIsolutions report 1000772). That previous report dealt with fuel cells, stirling engine generators, and reciprocating engine generators; this current report focuses on polymer electrolyte membrane fuel cells (PEMFCs) and solid oxide fuel cell (SOFC) power systems fueled with natural gas or propane and sized for residential loads.

2002-03-29T23:59:59.000Z

104

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

residential peak-load electricity rate structures. Journalefficiency efforts. Keywords: electricity rates, residentialmust suffer higher electricity rates to pay for the bill

Herter, Karen

2006-01-01T23:59:59.000Z

105

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

Residential Building Component Loads as of 1998 (1) 1) "Load" represents the thermal energy lossesgains that when combined will be offset by a building's heatingcooling system...

106

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

107

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

108

Power Quality for Satisfied Commercial and Residential Customers Field Test Plan: Monitoring Residential Power Quality  

Science Conference Proceedings (OSTI)

Residential customers are purchasing more and more microprocessor-based appliances. Many of the traditional residential loads, such as heating and air-conditioning equipment, washers and dryers, stoves and cook tops, and audio/video equipment, now have microprocessor technology incorporated into their designs. These appliances tend to be more sensitive than their predecessors, and it is of interest to understand the level of power quality that is experienced at the residential level. EPRI's three-year st...

2000-11-28T23:59:59.000Z

109

Peak load management: Potential options  

SciTech Connect

This report reviews options that may be alternatives to transmission construction (ATT) applicable both generally and at specific locations in the service area of the Bonneville Power Administration (BPA). Some of these options have potential as specific alternatives to the Shelton-Fairmount 230-kV Reinforcement Project, which is the focus of this study. A listing of 31 peak load management (PLM) options is included. Estimated costs and normalized hourly load shapes, corresponding to the respective base load and controlled load cases, are considered for 15 of the above options. A summary page is presented for each of these options, grouped with respect to its applicability in the residential, commercial, industrial, and agricultural sectors. The report contains comments on PLM measures for which load shape management characteristics are not yet available. These comments address the potential relevance of the options and the possible difficulty that may be encountered in characterizing their value should be of interest in this investigation. The report also identifies options that could improve the efficiency of the three customer utility distribution systems supplied by the Shelton-Fairmount Reinforcement Project. Potential cogeneration options in the Olympic Peninsula are also discussed. These discussions focus on the options that appear to be most promising on the Olympic Peninsula. Finally, a short list of options is recommended for investigation in the next phase of this study. 9 refs., 24 tabs.

Englin, J.E.; De Steese, J.G.; Schultz, R.W.; Kellogg, M.A.

1989-10-01T23:59:59.000Z

110

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

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

Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings Title Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings Publication Type Report LBNL Report Number LBNL-5193E Year of Publication 2011 Authors Garbesi, Karina, Vagelis Vossos, Alan H. Sanstad, and Gabriel Burch Document Number LBNL-5193E Pagination 59 Date Published October Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract An increasing number of energy efficient appliances operate on direct current (DC) internally, offering the potential to use DC from renewable energy systems directly and avoiding the losses inherent in converting power to alternating current (AC) and back. This paper investigates that potential for net-metered residences with on-site photovoltaics (PV) by modeling the net power draw of the 'direct-DC house' with respect to today's typical configuration, assuming identical DC-internal loads. Power draws were modeled for houses in 14 U.S. cities, using hourly, simulated PV-system output and residential loads. The latter were adjusted to reflect a 33% load reduction, representative of the most efficient DC-internal technology, based on an analysis of 32 electricity end-uses. The model tested the effect of climate, electric vehicle (EV) loads, electricity storage, and load shifting on electricity savings; a sensitivity analysis was conducted to determine how future changes in the efficiencies of power system components might affect savings potential. Based on this work, we estimate that net-metered PV residences could save 5% of their total electricity load for houses without storage and 14% for houses with storage. Based on residential PV penetration projections for year 2035 obtained from the National Energy Modeling System (2.7% for the reference case and 11.2% for the extended policy case), direct-DC could save the nation 10 trillion Btu (without storage) or 40 trillion Btu (with storage). Shifting the cooling load by two hours earlier in the day (pre-cooling) has negligible benefits for energy savings. Direct-DC provides no energy savings benefits for EV charging, to the extent that charging occurs at night. However, if charging occurred during the day, for example with employees charging while at work, the benefits would be large. Direct-DC energy savings are sensitive to power system and appliance conversion efficiencies but are not significantly influenced by climate. While direct-DC for residential applications will most likely arise as a spin-off of developments in the commercial sector-because of lower barriers to market entry and larger energy benefits resulting from the higher coincidence between load and insolation-this paper demonstrates that there are substantial benefits in the residential sector as well. Among residential applications, space cooling derives the largest energy savings from being delivered by a direct-DC system. It is the largest load for the average residence on a national basis and is particularly so in high-load regions. It is also the load with highest solar coincidence.

111

Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering  

E-Print Network (OSTI)

using total residential load profile, for the referencevalues, many customers’ load profiles are either more orparticularly flat or peaky load profiles who would be much

Darghouth, Naim Richard

2013-01-01T23:59:59.000Z

112

Energy savings from direct-DC in U.S. residential buildings  

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

savings from direct-DC in U.S. residential buildings savings from direct-DC in U.S. residential buildings Title Energy savings from direct-DC in U.S. residential buildings Publication Type Journal Article Year of Publication 2013 Authors Vossos, Vagelis, Karina Garbesi, and Hongxia Shen Journal Energy and Buildings Volume Volume 68, Part A Pagination 223-231 Date Published 09/2013 Keywords Direct current (DC), energy conservation, Photovoltaics (PV), residential buildings Abstract An increasing number of energy-efficient appliances operate on direct current (DC) internally, offering the potential to use DC directly from renewable energy systems, thereby avoiding the energy losses inherent in converting power to alternating current (AC) and back. This paper investigates that potential for net-metered residences with on-site photovoltaics (PV) by modeling the net power draw of a 'direct-DC house' compared to that of a typical net-metered house with AC distribution, assuming identical DC-internal loads. The model comparisons were run for 14 cities in the United States, using hourly, simulated PV-system output and residential loads. The model tested the effects of climate and battery storage. A sensitivity analysis was conducted to determine how future changes in the efficiencies of power system components might affect potential energy savings. Based on this work, we estimate that net-metered PV residences could save 5% of their total electricity load for houses without storage and 14% for houses with storage. Direct-DC energy savings are sensitive to power system and appliance conversion efficiencies but are not significantly influenced by climate.

113

OpenEI - hourly  

Open Energy Info (EERE)

are given by a location defined by the Typical Meteorological Year (TMY) for which the weather data was collected. Commercial load data is sorted by the (TMY) site as a...

114

San Isabel Electric Association - Residential Energy Efficiency Rebate  

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

San Isabel Electric Association - Residential Energy Efficiency San Isabel Electric Association - Residential Energy Efficiency Rebate Program San Isabel Electric Association - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Water Heating Program Info State Colorado Program Type Utility Rebate Program Rebate Amount Marathon Water Heaters: $175 Marathon Water Heaters w/ SIEA Load Control Program: $425 Electric Water Heater (minimum 30 gallon): $100 Washers: $80 Dryer w/ Moisture Sensor: $50 Dishwashers: $60 Refrigerators: $90 Freezers: $90 ETS Room Units: $72 - $180 ETS Furnaces: $432 - $768 Provider San Isabel Electric Association San Isabel Electric Association (SIEA) provides incentives for its residential customers to install energy efficient equipment. Rebates are

115

The application of load models of electric appliances to distribution system analysis  

SciTech Connect

This paper proposes a methodology to apply the load models of key electric appliances in residential area for distribution system analysis. According to the load models, the transformer hourly loading is estimated during simulation iteration by the bus voltage and ambient temperature. A three phase load flow program is then executed to find the feeder daily profile of power consumption and system loss with the transformer hourly loading derived. Besides, the daily power consumption by each type of key appliances can also be solved. To demonstrate the effectiveness of the proposed method, a distribution feeder of Taipower system is selected for computer simulation to find the potential of energy conservation by controlling the feeder service voltage at substation. Moreover, the load model of air conditioners, which are temperature sensitive appliances, is also considered in the program to find the impact of ambient temperature change to the power consumption of residential distribution feeders. It is concluded that the load models of key electric appliances can provide a useful tool for distribution engineers to enhance the accuracy of system analysis to estimate the operation efficiency of distribution system in a more effective manner.

Chen, C.S.; Wu, T.H.; Lee, C.C.; Tzeng, Y.M. [National Sun Yat-Sen Univ., Kaohsiung (Taiwan, Province of China). Dept. of Electrical Engineering

1995-08-01T23:59:59.000Z

116

Measured electric hot water standby and demand loads from Pacific Northwest homes. End-Use Load and Consumer Assessment Program  

SciTech Connect

The Bonneville Power Administration began the End-Use Load and Consumer Assessment Program (ELCAP) in 1983 to obtain metered hourly end-use consumption data for a large sample of new and existing residential and commercial buildings in the Pacific Northwest. Loads and load shapes from the first 3 years of data fro each of several ELCAP residential studies representing various segments of the housing population have been summarized by Pratt et al. The analysis reported here uses the ELCAP data to investigate in much greater detail the relationship of key occupant and tank characteristics to the consumption of electricity for water heating. The hourly data collected provides opportunities to understand electricity consumption for heating water and to examine assumptions about water heating that are critical to load forecasting and conservation resource assessments. Specific objectives of this analysis are to: (A) determine the current baseline for standby heat losses by determining the standby heat loss of each hot water tank in the sample, (B) examine key assumptions affecting standby heat losses such as hot water temperatures and tank sizes and locations, (C) estimate, where possible, impacts on standby heat losses by conservation measures such as insulating tank wraps, pipe wraps, anticonvection valves or traps, and insulating bottom boards, (D) estimate the EF-factors used by the federal efficiency standards and the nominal R-values of the tanks in the sample, (E) develop estimates of demand for hot water for each home in the sample by subtracting the standby load from the total hot water load, (F) examine the relationship between the ages and number of occupants and the hot water demand, (G) place the standby and demand components of water heating electricity consumption in perspective with the total hot water load and load shape.

Pratt, R.G.; Ross, B.A.

1991-11-01T23:59:59.000Z

117

Development of an Hourly Optimization Tool for Renewable Energy Systems  

SciTech Connect

An hourly optimization tool is developed to select and size renewable energy (RE) systems to meet the energy needs for various federal facilities. The optimization is based on life cost analysis of various RE technologies including wind and PV systems. The developed hourly optimization tool is used to evaluate the cost-effectiveness of RE technologies using complex energy and demand charges such time-of-use (TOU) rates. The paper compares results obtained using hourly analysis instead of annual based calculations to optimize the sizing of RE systems for residential, commercial, and industrial facilities in three representative US climates.

Lee, C.; Walker, A.; Krarti, M.

2010-01-01T23:59:59.000Z

118

NERSC Edison Hours Used Report  

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

Edison Hours Used Edison Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hoursday) 10142013 1.852 61.8 10132013...

119

Building Energy Software Tools Directory: Right-Suite Residential for  

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

Right-Suite Residential for Windows Right-Suite Residential for Windows Right-Suite Residential for Windows logo. All-in-one HVAC software performs residential loads calculations, duct sizing, energy analysis, equipment selection, cost comparison calculations, and geothermal loop design. Also allows you to design your own custom proposals. Used for system design, for sales representation, and for quotation preparations. Buy only what you need. Unused functions are shipped as demos, so the program can grow with your needs. Keywords residential loads calculations, duct sizing, energy analysis, HVAC equipment selection, system design Validation/Testing N/A Expertise Required Knowledge of general HVAC concepts. High level of computer literacy not required. Users Over 10,000 users of Right-J loads.

120

Residential Wood Residential wood combustion (RWC) is  

E-Print Network (OSTI)

Residential Wood Combustion Residential wood combustion (RWC) is increasing in Europe because PM2.5. Furthermore, other combustion- related sources of OA in Europe may need to be reassessed. Will it affect global OA emission estimates? Combustion of biofuels is globally one of the major OA sources

Note: This page contains sample records for the topic "residential hourly load" 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

Window-Related Energy Consumption in the US Residential and Commercial Building Stock  

E-Print Network (OSTI)

2001). "Residential Energy Consumption Survey." 2006, fromCommercial Building Energy Consumption Survey." from http://Study: Window % of Consumption 1. Categorize component loads

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

122

Cooling load estimation methods  

DOE Green Energy (OSTI)

Ongoing research on quantifying the cooling loads in residential buildings, particularly buildings with passive solar heating systems, is described. Correlations are described that permit auxiliary cooling estimates from monthly average insolation and weather data. The objective of the research is to develop a simple analysis method, useful early in design, to estimate the annual cooling energy required of a given building.

McFarland, R.D.

1984-01-01T23:59:59.000Z

123

hourly emission factors | OpenEI  

Open Energy Info (EERE)

60 60 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278660 Varnish cache server hourly emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago)

124

Residential Heating, Ventilating, and Air Conditioning Research Workshop  

Science Conference Proceedings (OSTI)

The residential HVAC load contributes $23 billion to electric utility energy sales and significantly to peak demands. Participants at this 1986 workshop identified fifteen areas of research needed to improve HVAC components, systems, and applications.

1987-09-18T23:59:59.000Z

125

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?

126

Marietta Power & Water - Residential Energy Efficiency Rebate...  

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

Marietta Power & Water - Residential Energy Efficiency Rebate Program Marietta Power & Water - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For...

127

TOPIC Brief BUILDING TECHNOLOGIES PROGRAM Lighting: Residential...  

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

Lighting: Residential and Commercial Requirements TOPIC BRIEF 1 Lighting: Residential and Commercial Requirements Residential Lighting Requirements The 2009 International Energy...

128

Burlington Electric Department - Residential Energy Efficiency...  

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

Residential Energy Efficiency Rebate Program Burlington Electric Department - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Appliances &...

129

Columbia Rural Electric Association - Residential Energy Efficiency...  

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

Residential Energy Efficiency Rebate Program Columbia Rural Electric Association - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Home...

130

Ozarks Electric Cooperative - Residential Energy Efficiency Loan...  

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

Ozarks Electric Cooperative - Residential Energy Efficiency Loan Program Ozarks Electric Cooperative - Residential Energy Efficiency Loan Program Eligibility Residential Savings...

131

Kootenai Electric Cooperative - Residential Efficiency Rebate...  

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

Kootenai Electric Cooperative - Residential Efficiency Rebate Program Kootenai Electric Cooperative - Residential Efficiency Rebate Program Eligibility Residential Savings For Home...

132

Southwest Electric Cooperative - Residential Energy Efficiency...  

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

Southwest Electric Cooperative - Residential Energy Efficiency Rebate Program Southwest Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility Residential...

133

Kirkwood Electric - Residential Energy Efficiency Rebate Program...  

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

Kirkwood Electric - Residential Energy Efficiency Rebate Program Kirkwood Electric - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Heating &...

134

Central Electric Cooperative - Residential Energy Efficiency...  

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

Residential Energy Efficiency Rebate Programs Central Electric Cooperative - Residential Energy Efficiency Rebate Programs Eligibility Construction Residential Savings For Other...

135

Cherokee Electric Cooperative - Residential Energy Efficiency...  

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

Cherokee Electric Cooperative - Residential Energy Efficiency Loan Programs Cherokee Electric Cooperative - Residential Energy Efficiency Loan Programs Eligibility Residential...

136

SRP - Residential Energy Efficiency Rebate Program | Department...  

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

SRP - Residential Energy Efficiency Rebate Program SRP - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Home Weatherization Commercial...

137

Barron Electric Cooperative - Residential Energy Resource Conservation...  

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

Residential Energy Resource Conservation Loan Program Barron Electric Cooperative - Residential Energy Resource Conservation Loan Program Eligibility Residential Savings For Home...

138

Cedar Falls Utilities - Residential Energy Efficiency Rebate...  

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

Residential Energy Efficiency Rebate Program Cedar Falls Utilities - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Heating & Cooling Commercial...

139

Minnesota Valley Electric Cooperative -Residential Energy Resource...  

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

Residential Energy Resource Conservation Loan Program Minnesota Valley Electric Cooperative -Residential Energy Resource Conservation Loan Program Eligibility Residential Savings...

140

Lake Region Electric Cooperative - Residential Energy Efficiency...  

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

Region Electric Cooperative - Residential Energy Efficiency Rebate Program Lake Region Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility Residential...

Note: This page contains sample records for the topic "residential hourly load" 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

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...

142

PPL Electric Utilities - Residential Energy Efficiency Rebate...  

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

Residential Energy Efficiency Rebate Program PPL Electric Utilities - Residential Energy Efficiency Rebate Program Eligibility Multi-Family Residential Residential Savings For Home...

143

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

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

Atmos Energy (Gas) - Residential Efficiency Program Atmos Energy (Gas) - Residential Efficiency Program Eligibility Low-Income Residential Residential Savings For Heating & Cooling...

144

Benton PUD - Residential Energy Efficiency Rebate Programs |...  

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

Residential Energy Efficiency Rebate Programs Benton PUD - Residential Energy Efficiency Rebate Programs Eligibility Multi-Family Residential Residential Savings For Appliances &...

145

Residential Price - Marketers  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

146

Choosing a Residential Window  

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

Choosing a Residential Window LBNLs Windows and Daylighting Group provides technical support to government and industry efforts to help consumers and builders choose...

147

Essays on residential desegregation  

E-Print Network (OSTI)

Many ethnically diverse countries have policies that encourage integration across ethnic groups. This dissertation investigates the impact and welfare implications of a residential desegregation policy in Singapore, the ...

Wong, Maisy

2008-01-01T23:59:59.000Z

148

Key Residential Building Equipment Technologies for Control and Grid Support PART I (Residential)  

Science Conference Proceedings (OSTI)

Electrical energy consumption of the residential sector is a crucial area of research that has in the past primarily focused on increasing the efficiency of household devices such as water heaters, dishwashers, air conditioners, and clothes washer and dryer units. However, the focus of this research is shifting as objectives such as developing the smart grid and ensuring that the power system remains reliable come to the fore, along with the increasing need to reduce energy use and costs. Load research has started to focus on mechanisms to support the power system through demand reduction and/or reliability services. The power system relies on matching generation and load, and day-ahead and real-time energy markets capture most of this need. However, a separate set of grid services exist to address the discrepancies in load and generation arising from contingencies and operational mismatches, and to ensure that the transmission system is available for delivery of power from generation to load. Currently, these grid services are mostly provided by generation resources. The addition of renewable resources with their inherent variability can complicate the issue of power system reliability and lead to the increased need for grid services. Using load as a resource, through demand response programs, can fill the additional need for flexible resources and even reduce costly energy peaks. Loads have been shown to have response that is equal to or better than generation in some cases. Furthermore, price-incentivized demand response programs have been shown to reduce the peak energy requirements, thereby affecting the wholesale market efficiency and overall energy prices. The residential sector is not only the largest consumer of electrical energy in the United States, but also has the highest potential to provide demand reduction and power system support, as technological advancements in load control, sensor technologies, and communication are made. The prevailing loads based on the largest electrical energy consumers in the residential sector are space heating and cooling, washer and dryer, water heating, lighting, computers and electronics, dishwasher and range, and refrigeration. As the largest loads, these loads provide the highest potential for delivering demand response and reliability services. Many residential loads have inherent flexibility that is related to the purpose of the load. Depending on the load type, electric power consumption levels can either be ramped, changed in a step-change fashion, or completely removed. Loads with only on-off capability (such as clothes washers and dryers) provide less flexibility than resources that can be ramped or step-changed. Add-on devices may be able to provide extra demand response capabilities. Still, operating residential loads effectively requires awareness of the delicate balance of occupants health and comfort and electrical energy consumption. This report is Phase I of a series of reports aimed at identifying gaps in automated home energy management systems for incorporation of building appliances, vehicles, and renewable adoption into a smart grid, specifically with the intent of examining demand response and load factor control for power system support. The objective is to capture existing gaps in load control, energy management systems, and sensor technology with consideration of PHEV and renewable technologies to establish areas of research for the Department of Energy. In this report, (1) data is collected and examined from state of the art homes to characterize the primary residential loads as well as PHEVs and photovoltaic for potential adoption into energy management control strategies; and (2) demand response rules and requirements across the various demand response programs are examined for potential participation of residential loads. This report will be followed by a Phase II report aimed at identifying the current state of technology of energy management systems, sensors, and communication technologies for demand response and load factor control applications

Starke, Michael R [ORNL; Onar, Omer C [ORNL; DeVault, Robert C [ORNL

2011-09-01T23:59:59.000Z

149

OpenEI - hourly data  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4980 en Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and diffuse) data for selected stations in Sri Lanka from...

150

Transitioning to 12-hour shifts  

Science Conference Proceedings (OSTI)

In 1989, Yankee Rowe nuclear power station successfully implemented a 12-hour shift schedule for all shiftworkers (control room personnel, auxiliary operators, and radiation protection shift technicians) with many positive effects on morale, motivation, and performance. The transition from an 8-hour to a 12-hour shift schedule was initiated, organized, and promoted by the shiftworkers themselves after they had identified numerous inadequacies in the 8-hour shift schedule. Preliminary and final implementation required several steps: (a) a survey of needs, (b) research of potential schedules, (c) cost/benefit analysis, (d) resolution of any union contract conflicts, (e) management approval, and (f) trial shift schedule periods.

Suter, P.S.; Cervassi, S.M.

1993-03-01T23:59:59.000Z

151

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997 CONSUMPTION AND ...  

U.S. Energy Information Administration (EIA)

Residential Sector energy Intensities for 1978-1997 using data from EIA Residential Energy Consumption Survey.

152

Measured electric hot water standby and demand loads from Pacific Northwest homes  

SciTech Connect

The Bonneville Power Administration began the End-Use Load and Consumer Assessment Program (ELCAP) in 1983 to obtain metered hourly end-use consumption data for a large sample of new and existing residential and commercial buildings in the Pacific Northwest. Loads and load shapes from the first 3 years of data fro each of several ELCAP residential studies representing various segments of the housing population have been summarized by Pratt et al. The analysis reported here uses the ELCAP data to investigate in much greater detail the relationship of key occupant and tank characteristics to the consumption of electricity for water heating. The hourly data collected provides opportunities to understand electricity consumption for heating water and to examine assumptions about water heating that are critical to load forecasting and conservation resource assessments. Specific objectives of this analysis are to: (A) determine the current baseline for standby heat losses by determining the standby heat loss of each hot water tank in the sample, (B) examine key assumptions affecting standby heat losses such as hot water temperatures and tank sizes and locations, (C) estimate, where possible, impacts on standby heat losses by conservation measures such as insulating tank wraps, pipe wraps, anticonvection valves or traps, and insulating bottom boards, (D) estimate the EF-factors used by the federal efficiency standards and the nominal R-values of the tanks in the sample, (E) develop estimates of demand for hot water for each home in the sample by subtracting the standby load from the total hot water load, (F) examine the relationship between the ages and number of occupants and the hot water demand, (G) place the standby and demand components of water heating electricity consumption in perspective with the total hot water load and load shape.

Pratt, R.G.; Ross, B.A.

1991-11-01T23:59:59.000Z

153

NERSC Franklin Hours Used Report  

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

Franklin Hours Used Franklin Hours Used Franklin Hours Used 2011 Franklin Usage in Hours 2011 Franklin Usage in Hours 2010 2010 Franklin Usage in Hours 2009 2009 Franklin Usage in Hours 2007-2008 2008 Franklin Usage in Hours 2008 Franklin Usage in Hours Date Hours Used (in thousands) Percentage of Maximum Possible (24 hours/day) 04/28/2012 0.00 0.00 04/27/2012 272.62 29.40 04/26/2012 692.81 74.71 04/25/2012 841.60 90.75 04/24/2012 53.86 5.81 04/23/2012 432.01 46.59 04/22/2012 823.23 88.77 04/21/2012 473.95 51.11 04/20/2012 173.75 18.74 04/19/2012 449.22 48.44 04/18/2012 816.23 88.02 04/17/2012 754.35 81.34 04/16/2012 648.89 69.97 04/15/2012 812.25 87.59 04/14/2012 843.46 90.95 04/13/2012 737.46 79.52 04/12/2012 711.97 76.77 04/11/2012 734.65 79.22 04/10/2012 815.65 87.95 04/09/2012 897.25 96.75

154

Analysis of industrial load management  

SciTech Connect

Industrial Load Management, ILM, has increased the possibilities of changing load profiles and raising load factors. This paper reports on load profile measurements and feasible load management applications that could be implemented in industry e.g. bivalent systems for heating of premises and processes, load priority systems, energy storage and rescheduling processes or parts of processes due to differential electricity rates. Industrial load variations on hourly, daily and seasonal basis are treated as well as the impact by load management on load curves e g peak clipping, valley filling and increased off-peak electricity usage.

Bjork, C.O.; Karlsson, B.G.

1986-04-01T23:59:59.000Z

155

Evaluation of The Thermal Performance and Cost Effectiveness of Radiant Barrier Thermal Insulation Materials In Residential Construction.  

E-Print Network (OSTI)

??Reducing heating and cooling systems loads in buildings is a cost effective way to decrease energy consumption in residential houses. This reduction can be achieved… (more)

Asadi, Somayeh

2012-01-01T23:59:59.000Z

156

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

157

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

158

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...

159

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2012-12-19T23:59:59.000Z

160

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2013-11-05T23:59:59.000Z

Note: This page contains sample records for the topic "residential hourly load" 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 propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

from last week to 2.62 per gallon; up 37.4 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. The retail price...

162

Residential propane prices increase  

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

from last week to 2.57 per gallon; up 32.2 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. The retail price...

163

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

a week ago to 2.76 per gallon. That's up 51.2 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. Propane prices...

164

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

a week ago to 2.71 per gallon. That's up 46.9 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. Propane prices...

165

Assessment of Residential Energy Management Systems for Demand Response Applications  

Science Conference Proceedings (OSTI)

This Technical Update provides a description of what a residential energy management system comprises, with a focus on demand response applications. It includes findings from a survey of residential energy management system technology vendors; system pricing and availability; an overview of technology components and features; customer load monitoring and control capabilities; utility demand response control functions; communications protocols and technologies supported; and options for demand response si...

2009-12-22T23:59:59.000Z

166

Residential Gateways and Controllers  

Science Conference Proceedings (OSTI)

Energy companies are exploring two-way residential communications to help reduce the cost of providing standard energy-related services, such as itemized billing or demand reduction, as well as to provide nontraditional services, such as diagnostic services and e-mail. This report covers the key to development of these services -- residential gateways and controllers. The report was prepared with both technical and financial energy company managers in mind, for use as a reference tool and strategic plann...

1999-08-31T23:59:59.000Z

167

Improving DOE-2's RESYS routine: User defined functions to provide more accurate part load energy use and humidity predictions  

SciTech Connect

In hourly energy simulations, it is important to properly predict the performance of air conditioning systems over a range of full and part load operating conditions. An important component of these calculations is to properly consider the performance of the cycling air conditioner and how it interacts with the building. This paper presents improved approaches to properly account for the part load performance of residential and light commercial air conditioning systems in DOE-2. First, more accurate correlations are given to predict the degradation of system efficiency at part load conditions. In addition, a user-defined function for RESYS is developed that provides improved predictions of air conditioner sensible and latent capacity at part load conditions. The user function also provides more accurate predictions of space humidity by adding ''lumped'' moisture capacitance into the calculations. The improved cooling coil model and the addition of moisture capacitance predicts humidity swings that are more representative of the performance observed in real buildings.

Henderson, Hugh I.; Parker, Danny; Huang, Yu J.

2000-08-04T23:59:59.000Z

168

Reading Municipal Light Department - Residential ENERGY STAR...  

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

Residential ENERGY STAR Appliance Rebate Program Reading Municipal Light Department - Residential ENERGY STAR Appliance Rebate Program Eligibility Residential Savings For Heating &...

169

Chicopee Electric Light - Residential Solar Rebate Program |...  

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

Chicopee Electric Light - Residential Solar Rebate Program Chicopee Electric Light - Residential Solar Rebate Program Eligibility Residential Savings For Solar Buying & Making...

170

Lane Electric Cooperative - Residential Energy Efficiency Loan...  

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

Energy Efficiency Loan Programs Lane Electric Cooperative - Residential Energy Efficiency Loan Programs Eligibility Multi-Family Residential Residential Savings For Home...

171

Membership Criteria: Better Buildings Residential network  

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

Criteria BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.govbbrn Better Buildings Residential Network (BBRN) members must be supportive of residential...

172

Residential Mobility and Latino Political Mobilization  

E-Print Network (OSTI)

Brians, Craig Leonard. 1997. “Residential Mobility, VoterHighton, Benjamin. 2000. "Residential Mobility, Community2003. “ Language Choice, Residential Stability and Voting

Ramirez, Ricardo

2005-01-01T23:59:59.000Z

173

Evaluation of evolving residential electricity tariffs  

E-Print Network (OSTI)

Evaluation of evolving residential electricity tariffs JudyEvaluation of evolving residential electricity tariffs Judyjdonadee@andrew.cmu.edu Abstract Residential customers in

Lai, Judy

2011-01-01T23:59:59.000Z

174

Landholders, Residential Land Conversion, and Market Signals  

E-Print Network (OSTI)

465– Margulis: Landholders, Residential Land Conversion, and1983. An Analysis of Residential Developer Location FactorsHow Regulation Affects New Residential Development. New

Margulis, Harry L.

2006-01-01T23:59:59.000Z

175

Infiltration in ASHRAE's Residential Ventilation Standards  

E-Print Network (OSTI)

Related  to  Residential  Ventilation  Requirements”.  Rudd,  A.   2005.   “Review  of  Residential  Ventilation and  Matson  N.E. ,  “Residential  Ventilation  and  Energy 

Sherman, Max

2008-01-01T23:59:59.000Z

176

Load management strategies for electric utilities: a production cost simulation  

SciTech Connect

This paper deals with the development and application of a simulation model for analyzing strategies for managing the residential loads of electric utilities. The basic components of the model are (1) a production-cost model, which simulates daily operation of an electric power system; (2) a load model, which disaggregates system loads into appliance loads and other loads; and (3) a comparison model, which compares the production costs and energy consumption needed to meet a particular load profile to the corresponding costs and energy consumption required for another load profile. The profiles in each pair define alternative ways of meeting the same demand. A method for disaggregating load profiles into appliance components is discussed and several alternative strategies for residential load management for a typical northeastern electric utility are formulated. The method is based on an analysis of the composition of electric loads for a number of classes of residential customers in the model utility system. The effect of alternative load management strategies on the entire residential loadcurve is determined by predicting the effects of these strategies on the specific appliance components of the loadcurve. The results of using the model to analyze alternative strategies for residential load management suggest that load management strategies in the residential sector, if adopted by utilities whose operating and load characteristics are similar to those of the system modeled here, must take into account a wide variety of appliances to achieve significant changes in the total load profile. Moreover, the results also suggest that it is not easy to reduce costs significantly through new strategies for managing residential loads only and that, to be worthwhile, cost-reducing strategies will have to encompass many kinds of appliances.

Blair, P.D.

1979-03-01T23:59:59.000Z

177

California load management research 1977: a first year report to the Federal Energy Administration on the FEA/California Electric Utilities Demonstration Project. Annual report for 1977  

SciTech Connect

The California Electric Utilities Demonstration Project (EUDP) seeks to identify cost effective ways to implement load management. The three-year, six-million-dollar project will involve 24 field experiments, four electric utilities, and 7000 residential, commercial and industrial utility customers. Each experiment tries to measure how the tested management measure reduces system peak demand and shifts kilowatt-hour use in both customer and system load curves. Results of three experiments are given. The four participating utilities (Southern California Edison, Pacific Gas and Electric, Sacramento Municipal Utility District, and San Diego Gas and Electric) are described. A load curve data catalog is discussed. An appendix to the report shows how to select load management equipment. Another discusses both United States and European load management experiences.

Hairston, R.

1977-10-01T23:59:59.000Z

178

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

179

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

180

NERSC Carver Hours Used Report  

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

Carver Hours Carver Hours Used Carver Hours Used Hopper Usage Chart Hopper Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 01/05/2014 170.00 89.35 01/04/2014 174.38 91.65 01/03/2014 174.15 91.53 01/02/2014 179.72 94.45 01/01/2014 173.76 91.32 12/31/2013 172.25 90.53 12/30/2013 169.62 89.14 12/29/2013 164.72 86.57 12/28/2013 177.92 93.51 12/27/2013 171.61 90.19 12/26/2013 172.74 90.79 12/25/2013 172.13 90.46 12/24/2013 173.48 91.18 12/23/2013 174.92 91.93 12/22/2013 175.26 92.11 12/21/2013 173.58 91.23 12/20/2013 174.50 91.71 12/19/2013 170.02 89.36 12/18/2013 178.25 93.68 12/17/2013 176.17 92.59 12/16/2013 162.03 85.16 12/15/2013 157.09 82.56 12/14/2013 173.40 91.13 12/13/2013 185.02 97.24 12/12/2013 150.91 79.31 12/11/2013 31.67 16.64 12/10/2013 92.44 48.58

Note: This page contains sample records for the topic "residential hourly load" 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

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,

182

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

183

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

184

Energy Efficient Residential Building Code for Arab Countries  

E-Print Network (OSTI)

This paper presents an energy analysis to support the Egyptian efforts to develop a New Energy Code for New Residential Buildings in the Arab Countries. Also, the paper represents a brief summary of the code contents specially, the effectiveness of building envelope and weather data in reducing electrical energy consumption. The impacts of the following parameters were studied namely; walls and roof constructions, window size and glazing type for different geographical locations in the Arab Countries. Two different distinguish weather classification were developed and analyzed and presented in this study, the DDC18.3& DDH 25. The first was developed by the Author to calculate DD using a mathematical model on electronic spread sheet. The second depends on the hourly values for each geographical location. The analysis includes the capitals and major cities representing most of the Arab countries. It was determined that the window to wall ratio (WWR) of 15% minimizes the total annual electricity use for the buildings. The Solar Factors (SF) and Window Orientation Factors (OF) were calculated for the eight wall orientations. The Over All Transfer Value (OTTV) was calculated for each orientation for different variables, e.g. WWR, Glazing Type, Shading, wall color and mid and top floor. The results show that the mass and types of building materials; WWR (15%), glass type and shutters; orientation; wall insulation (25mm), wall solar absorptivity (a=.3); roof insulation and shading effect enhance the thermal performance and reduces the cooling load by 60%.

Hanna, G. B.

2010-01-01T23:59:59.000Z

185

Residential oil burners with low input and two stages firing  

SciTech Connect

The residential oil burner market is currently dominated by the pressure-atomized, retention head burner. At low firing rates pressure atomizing nozzles suffer rapid fouling of the small internal passages, leading to bad spray patterns and poor combustion performance. To overcome the low input limitations of conventional burners, a low pressure air-atomized burner has been developed watch can operate at fining rates as low as 0.25 gallons of oil per hour (10 kW). In addition, the burner can be operated in a high/low fining rate mode. Field tests with this burner have been conducted at a fixed input rate of 0.35 gph (14 kW) with a side-wall vented boiler/water storage tank combination. At the test home, instrumentation was installed to measure fuel and energy flows and record trends in system temperatures. Laboratory efficiency testing with water heaters and boilers has been completed using standard single purpose and combined appliance test procedures. The tests quantify benefits due to low firing rates and other burner features. A two stage oil burner gains a strong advantage in rated efficiency while maintaining capacity for high domestic hot water and space heating loads.

Butcher, T.; Krajewski, R.; Leigh, R. [and others

1997-12-31T23:59:59.000Z

186

Puget Sound Area Electric Reliability Plan. Appendix D, Conservation, Load Management and Fuel Switching Analysis : Draft Environmental Impact Statement.  

SciTech Connect

Various conservation, load management, and fuel switching programs were considered as ways to reduce or shift system peak load. These programs operate at the end-use level, such as residential water heat. Figure D-1a shows what electricity consumption for water heat looks like on normal and extreme peak days. Load management programs, such as water heat control, are designed to reduce electricity consumption at the time of system peak. On the coldest day in average winter, system load peaks near 8:00 a.m. In a winter with extremely cold weather, electricity consumption increases fr all hours, and the system peak shifts to later in the morning. System load shapes in the Puget Sound area are shown in Figure D-1b for a normal winter peak day (February 2, 1988) and extreme peak day (February 3, 1989). Peak savings from any program are calculated to be the reduction in loads on the entire system at the hour of system peak. Peak savings for all programs are measured at 8:00 a.m. on a normal peak day and 9:00 a.m. on an extreme peak day. On extremely cold day, some water heat load shifts to much later in the morning, with less load available for shedding at the time of system peak. Models of hourly end-use consumption were constructed to simulate the impact of conservation, land management, and fuel switching programs on electricity consumption. Javelin, a time-series simulating package for personal computers, was chosen for the hourly analysis. Both a base case and a program case were simulated. 15 figs., 7 tabs.

United States. Bonneville Power Administration.

1991-09-01T23:59:59.000Z

187

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

188

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

189

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

190

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

191

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

192

Firelands Electric Cooperative - Residential Energy Efficiency...  

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

Firelands Electric Cooperative - Residential Energy Efficiency Rebate Program Firelands Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility...

193

American Municipal Power (Public Electric Utilities) - Residential...  

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

American Municipal Power (Public Electric Utilities) - Residential Efficiency Smart Program (Ohio) American Municipal Power (Public Electric Utilities) - Residential Efficiency...

194

Southern Pine Electric Power Association - Residential Energy...  

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

Southern Pine Electric Power Association - Residential Energy Efficiency Rebate Program Southern Pine Electric Power Association - Residential Energy Efficiency Rebate Program <...

195

Energy Smart - Residential Energy Efficiency Rebate Program ...  

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

Smart - Residential Energy Efficiency Rebate Program (20 Municipalities) Energy Smart - Residential Energy Efficiency Rebate Program (20 Municipalities) < Back Eligibility...

196

South Alabama Electric Cooperative - Residential Energy Efficiency...  

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

South Alabama Electric Cooperative - Residential Energy Efficiency Loan Program South Alabama Electric Cooperative - Residential Energy Efficiency Loan Program Eligibility...

197

Central Alabama Electric Cooperative - Residential Energy Efficiency...  

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

Central Alabama Electric Cooperative - Residential Energy Efficiency Rebate Program Central Alabama Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility...

198

Cookeville Electric Department - Residential Energy Efficiency...  

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

Cookeville Electric Department - Residential Energy Efficiency Rebate Program Cookeville Electric Department - Residential Energy Efficiency Rebate Program Eligibility Commercial...

199

Lane Electric Cooperative - Residential and Commercial Weatherization...  

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

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

200

Lane Electric Cooperative - Residential Efficiency Rebate Program...  

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

Efficiency Rebate Program Lane Electric Cooperative - Residential Efficiency Rebate Program Eligibility Residential Savings For Appliances & Electronics Home Weatherization...

Note: This page contains sample records for the topic "residential hourly load" 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

Austin Energy - Residential Energy Efficiency Rebate Program...  

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

Rebate Program Austin Energy - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Home Weatherization Commercial Weatherization Heating & Cooling...

202

Meeting Residential Ventilation Standards Through Dynamic Control...  

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

Meeting Residential Ventilation Standards Through Dynamic Control of Ventilation Systems Title Meeting Residential Ventilation Standards Through Dynamic Control of Ventilation...

203

Maximizing Information from Residential Measurements of Volatile...  

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

Maximizing Information from Residential Measurements of Volatile Organic Compounds Title Maximizing Information from Residential Measurements of Volatile Organic Compounds...

204

Ozark Border Electric Cooperative - Residential Energy Efficiency...  

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

Ozark Border Electric Cooperative - Residential Energy Efficiency Rebate Program Ozark Border Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility...

205

Central New Mexico Electric Cooperative - Residential Energy...  

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

New Mexico Electric Cooperative - Residential Energy Efficiency Rebate Program Central New Mexico Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility...

206

hourly data | OpenEI  

Open Energy Info (EERE)

data data Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. Source U.S. National Renewable Energy Laboratory (NREL) Date Released May 03rd, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DNI GHI hourly data NREL solar Sri Lanka SWERA TILT TMY UNEP Data application/zip icon Download TMY data (zip, 67.5 MiB)

207

The Load Leveling Approach to Removing Appliance Features from Home Electricity Usage Profiles.  

E-Print Network (OSTI)

??For the past twenty years, researchers have developed a class of algorithms that are capable of disaggregating a residential electric load into its set of… (more)

McLaughlin, Stephen

2011-01-01T23:59:59.000Z

208

Willmar Municipal Utilities - Residential Energy Efficiency Rebate Program  

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

Willmar Municipal Utilities - Residential Energy Efficiency Rebate Willmar Municipal Utilities - Residential Energy Efficiency Rebate Program Willmar Municipal Utilities - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Water Heating Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Refrigerator: 50 Clothes Washer: 50 Dishwasher: 50 Central A/C: 200 Water Heater: 1.25/gallon (bonus 100 to convert to an electric water heater from another fuel source) Provider Willmar Municipal Utilities Willmar Municipal Utilities offer rebates on Energy Star rated appliances and air conditioners and Marathon water heaters. In addition to these rebates, WMU also offers a Load Sharing Program. Participating customers

209

South Kentucky RECC - Residential Energy Efficiency Rebate Program |  

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

South Kentucky RECC - Residential Energy Efficiency Rebate Program South Kentucky RECC - Residential Energy Efficiency Rebate Program South Kentucky RECC - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Ventilation Heat Pumps Maximum Rebate Button Up (weatherization): $400 Program Info State Kentucky Program Type Utility Rebate Program Rebate Amount Caulking: Free Button Up (weatherization): $20 for every 1,000 BTU reduced in heating load Geothermal Heat Pump with Touchstone Energy Home: $500 Air-Source Heat Pump with Touchstone Energy Home: $300 Touchstone Energy Manufactured Home: $250 Geothermal Heat Pump: $200 Heat Pump/Furnace Tune-Up: $75

210

Photovoltaics for residential applications  

DOE Green Energy (OSTI)

Information is given about the parts of a residential photovoltaic system and considerations relevant to photovoltaic power use in homes that are also tied to utility lines. In addition, factors are discussed that influence implementation, including legal and environmental factors such as solar access and building codes, insurance, utility buyback, and system longevity. (LEW)

Not Available

1984-02-01T23:59:59.000Z

211

History of Residential Grounding  

Science Conference Proceedings (OSTI)

This report describes the development of residential electrical service grounding practices in the United States. The report focuses on the history of the National Electrical Code (NEC), which prescribes standards for wiring practices in residences, including grounding of the building electrical service.

2002-09-19T23:59:59.000Z

212

Independent review of estimated load reductions for PJM's small customer load response pilot project  

SciTech Connect

This study describes the results of a low-cost approach used to measure reported load reductions from a residential electric water heater (EWH) load control program operated as part of PJM Interconnection's Demand Response small customer pilot program. Lawrence Berkeley National Laboratory (LBNL) conducted this independent review of the engineering estimates for EWH load control reported by a Curtailment Service Provider (CSP) at PJM's request. LBNL employed low-cost measurement and verification (M&V) approaches that utilized existing interval metering equipment to monitor results for a series of load control tests. The CSP collected hourly load data for two substations and several hundred households over a six-week period in October and November 2003. During this time period, the CSP operated its electric water heater load control program during pre-specified test periods in the morning, afternoon and early evening. LBNL then analyzed substation and premise-level data from these tests in order to verify the diversified demand reductions claimed by the CSP for customers participating in the EWH load control program. We found that the observed load reductions for the premise-level data aggregated over all households in the two participating electric cooperatives were, respectively, 40 percent-60 percent less and 3 percent less-10 percent higher than the estimated diversified demand reduction values assumed by the CSP, depending on whether observed or normalized results are considered. We also analyzed sub-station level data and found that the observed load reductions during the test periods were significantly lower than expected, although confounding influences and operational problems signifiogram during pre-specified test periods in the morning, afternoon and early evening. LBNL then analyzed substation and premise-level data from these tests in order to verify the diversified demand reductions claimed by the CSP for customers participating in the EWH load control program. We found that the observed load reductions for the premise-level data aggregated over all households in the two participating electric cooperatives were, respectively, 40 percent-60 percent less and 3 percent less-10 percent higher than the estimated diversified demand reduction values assumed by the CSP, depending on whether observed or normalized results are considered. We also analyzed sub-station level data and found that the observed load reductions during the test periods were significantly lower than expected, although confounding influences and operational problems significantly limit our ability to differentiate between control-related and non-control related differences in substation-level load shape data. The usefulness and accuracy of the results were hampered by operational problems encountered during the measurement period as well as in sufficient number of load research grade interval meters at one cooperative. Given the larger sample size at one electric cooperative and more statistically-robust results, there is some basis to suggest that the Adjusted Diversified Demand Factor (ADDF) values used by the CSP somewhat over-state the actual load reductions. Given the results and limitations of the M&V approach as implemented, we suggest several options for PJM to consider: (1) require load aggregators participating in ISODR programs to utilize formal PURPA-compliant load research samples in their M&V plans, and (2) continue developing lower cost M&V approaches for mass market load control programs that incorporate suggested improvements described in this study.

Heffner, G.; Moezzi, M.; Goldman, C.

2004-06-01T23:59:59.000Z

213

Predicting hourly building energy usage  

SciTech Connect

This article presents the results of an evaluation to identify the most accurate method for making hourly energy use predictions. The prediction of energy usage by HVAC systems is important for the purposes of HVAC diagnostics, system control, parameter and system identification, optimization and energy management. Many new techniques are now being applied to the analysis problems involved with predicting the future behavior of HVAC systems and deducing properties of these systems. Similar problems arise in most observational disciplines, including physics, biology and economics.

Kreider, J.F. (Univ. of Colorado, Boulder, CO (United States). Dept. of Civil, Environmental and Architectural Engineering); Haberl, J.S. (Texas A and M Univ., College Station, TX (United States). Mechanical Engineering Dept.)

1994-06-01T23:59:59.000Z

214

EMPS-2.1 Computer Program for Residential Building Energy Analysis, Engineering Manual  

Science Conference Proceedings (OSTI)

Evaluating the projected energy efficiency of residential building designs and equipment options requires a sophisticated analytic methodology. Techniques described in this manual analyze building thermal loads, heating and cooling systems, water heaters, and life-cycle costs and electric rates.

1988-02-08T23:59:59.000Z

215

Estimation of Daily Degree-hours  

Science Conference Proceedings (OSTI)

Degree-hours have many applications in fields such as agriculture, architecture, and power generation. Since daily mean temperatures are more readily available than hourly temperatures, the difference between mean daily degree-hours computed from ...

Nathaniel B. Guttman; Richard L. Lehman

1992-07-01T23:59:59.000Z

216

Load Management: Opportunity or Calamity?  

E-Print Network (OSTI)

After the change in the economics of generating electricity which took place in 1973, many utilities are examining options to hold down their costs. One fact which is clear is that the difference between peak and off peak generating costs is much larger now than prior to 1973. Utilities are examining two options which can be termed load management. One option is to control discretionary loads during peak periods. Cycling of residential water heaters or shutting off industrial electric furnaces during peak periods are both examples of load control which lower the costs borne by the utility. The other option is the use of seasonal surcharges or time-of-day rates to induce customers to alter their usage patterns. Both these load management options focus on reducing utility costs overall without regard to the cost to the consumers affected by the load management options. The issue, then, is whether industrial customers can find opportunities to lower their costs under load management.

Males, R.; Hassig, N.

1981-01-01T23:59:59.000Z

217

Evaluation of evolving residential electricity tariffs  

Science Conference Proceedings (OSTI)

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 30percent, 100percent, 200percent, and 300percent+ 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?

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

2011-03-22T23:59:59.000Z

218

Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads  

SciTech Connect

This paper describes a simple method to estimate hourly cooling demand from historical utility load data. It compares total hourly demand to demand on cool days and compares these estimates of total cooling demand to previous regional and national estimates. Load profiles generated from this method may be used to estimate the potential for aggregated demand response or load shifting via cold storage.

Denholm, P.; Ong, S.; Booten, C.

2012-05-01T23:59:59.000Z

219

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

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

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

220

CenterPoint Energy (Gas) - Residential Efficiency Rebates (Oklahoma...  

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

Residential Efficiency Rebates (Oklahoma) CenterPoint Energy (Gas) - Residential Efficiency Rebates (Oklahoma) Eligibility Residential Savings For Heating & Cooling Commercial...

Note: This page contains sample records for the topic "residential hourly load" 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

Central Georgia EMC - Residential Energy Efficiency Rebate Program...  

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

Residential Energy Efficiency Rebate Program Central Georgia EMC - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Home Weatherization Commercial...

222

MidAmerican Energy (Electric) - Residential Energy Efficiency...  

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

Electric) - Residential Energy Efficiency Rebate Programs MidAmerican Energy (Electric) - Residential Energy Efficiency Rebate Programs < Back Eligibility Residential Savings...

223

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

224

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

225

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

226

Residential Energy Audits  

E-Print Network (OSTI)

A series of events coupled with the last five years experience performing Residential Conservation Service (RCS) audits have resulted in renewed efforts by utilities to evaluate the role of residential energy audits. There are utilities where the RCS program is considered very successful; however, the majority of utilities have found that the costs far exceed the benefits. Typically, the response rates are low (less than 1% per year for Texas utilities), the audits primarily reach upper income persons, and consumers only implement the low-cost recommendations. The Texas PUC is on record as being opposed to the RCS as well as the Commercial and Apartment Conservation Service (CACS) and now requires Energy Efficiency Plans with detailed cost and savings information on utility end user programs.

Brown, W.

1985-01-01T23:59:59.000Z

227

Electricity savings potentials in the residential sector of Bahrain  

SciTech Connect

Electricity is the major fuel (over 99%) used in the residential, commercial, and industrial sectors in Bahrain. In 1992, the total annual electricity consumption in Bahrain was 3.45 terawatt-hours (TWh), of which 1.95 TWh (56%) was used in the residential sector, 0.89 TWh (26%) in the commercial sector, and 0.59 TWh (17%) in the industrial sector. Agricultural energy consumption was 0.02 TWh (less than 1%) of the total energy use. In Bahrain, most residences are air conditioned with window units. The air-conditioning electricity use is at least 50% of total annual residential use. The contribution of residential AC to the peak power consumption is even more significant, approaching 80% of residential peak power demand. Air-conditioning electricity use in the commercial sector is also significant, about 45% of the annual use and over 60% of peak power demand. This paper presents a cost/benefit analysis of energy-efficient technologies in the residential sector. Technologies studied include: energy-efficient air conditioners, insulating houses, improved infiltration, increasing thermostat settings, efficient refrigerators and freezers, efficient water heaters, efficient clothes washers, and compact fluorescent lights. We conservatively estimate a 32% savings in residential electricity use at an average cost of about 4 fils per kWh. (The subsidized cost of residential electricity is about 12 fils per kWh. 1000 fils = 1 Bahrain Dinar = US$ 2.67). We also discuss major policy options needed for implementation of energy-efficiency technologies.

Akbari, H. [Lawrence Berkeley National Lab., CA (United States); Morsy, M.G.; Al-Baharna, N.S. [Univ. of Bahrain, Manama (Bahrain)

1996-08-01T23:59:59.000Z

228

Residential Energy Display Devices  

Science Conference Proceedings (OSTI)

Residential energy display devices provide direct feedback to consumers about their electricity use and cost, direct feedback that potentially can help customers manage electricity consumption. EPRI tested five different stand-alone display devices in its Energy Efficiency and Demand Response Living Laboratory to assess whether devices functioned according to manufacturer specifications. In addition to providing results of these tests, this Technology Brief describes how display devices operate, summariz...

2008-06-20T23:59:59.000Z

229

OG&E - Residential Energy Efficiency Program | Department of...  

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

OG&E - Residential Energy Efficiency Program OG&E - Residential Energy Efficiency Program Eligibility Low-Income Residential Residential Savings For Heating & Cooling Commercial...

230

Analysis of Distribution Level Residential Demand Response  

SciTech Connect

Control of end use loads has existed in the form of direct load control for decades. Direct load control systems allow a utility to interrupt power to a medium to large size commercial or industrial customer a set number of times a year. With the current proliferation of computing resources and communications systems the ability to extend the direct load control systems now exists. Demand response systems now have the ability to not only engage commercial and industrial customers, but also the individual residential customers. Additionally, the ability exists to have automated control systems which operate on a continual basis instead of the traditional load control systems which could only be operated a set number of times a year. These emerging demand response systems have the capability to engage a larger portion of the end use load and do so in a more controlled manner. This paper will examine the impact that demand response systems have on the operation of an electric power distribution system.

Schneider, Kevin P.; Fuller, Jason C.; Chassin, David P.

2009-03-23T23:59:59.000Z

231

Load cell  

DOE Patents (OSTI)

A load cell combines the outputs of a plurality of strain gauges to measure components of an applied load. Combination of strain gauge outputs allows measurement of any of six load components without requiring complex machining or mechanical linkages to isolate load components. An example six axis load cell produces six independent analog outputs, each directly proportional to one of the six general load components. 16 figs.

Spletzer, B.L.

1998-12-15T23:59:59.000Z

232

Load cell  

DOE Patents (OSTI)

A load cell combines the outputs of a plurality of strain gauges to measure components of an applied load. Combination of strain gauge outputs allows measurement of any of six load components without requiring complex machining or mechanical linkages to isolate load components. An example six axis load cell produces six independent analog outputs which can be combined to determine any one of the six general load components.

Spletzer, Barry L. (Albuquerque, NM)

2001-01-01T23:59:59.000Z

233

Load cell  

DOE Patents (OSTI)

A load cell combines the outputs of a plurality of strain gauges to measure components of an applied load. Combination of strain gauge outputs allows measurement of any of six load components without requiring complex machining or mechanical linkages to isolate load components. An example six axis load cell produces six independent analog outputs, each directly proportional to one of the six general load components.

Spletzer, Barry L. (Albuquerque, NM)

1998-01-01T23:59:59.000Z

234

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.

235

Definition: Kilowatt-hour | Open Energy Information  

Open Energy Info (EERE)

Kilowatt-hour Kilowatt-hour Jump to: navigation, search Dictionary.png Kilowatt-hour A unit of measure for energy, typically applied to electricity usage; equal to the amount of energy used at a rate of 1,000 watts over the course of one hour. One kWh is equivalent to 3,412 Btu, or 3,600 kJ.[1][2] View on Wikipedia Wikipedia Definition The kilowatt hour, or kilowatt-hour, (symbol kW·h, kW h or kWh) is a unit of energy equal to 1000 watt hours or 3.6 megajoules. For constant power, energy in watt hours is the product of power in watts and time in hours. The kilowatt hour is most commonly known as a billing unit for energy delivered to consumers by electric utilities. Also Known As kWh Related Terms British thermal unit, Electricity, Energy, Kilowatt, energy, electricity generation

236

Grays Harbor PUD - Non-Residential Energy Efficiency Rebate Program |  

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

Grays Harbor PUD - Non-Residential Energy Efficiency Rebate Program Grays Harbor PUD - Non-Residential Energy Efficiency Rebate Program Grays Harbor PUD - Non-Residential Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Industrial Institutional Local Government Schools Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate Verifiable Savings: up to 70% of project cost Heat Pumps/Air Conditioners: 50% of actual project cost Economizers: 50% of actual economizer system installed cost Program Info State District of Columbia Program Type Utility Rebate Program Rebate Amount Verifiable Savings: $0.17/kWh, based upon annual kilowatt-hours saved Heat Pumps/Air Conditioners: $200 per ton X minimum or actual SEER

237

Characterizing Household Plug Loads through Self-Administered Load Research  

Science Conference Proceedings (OSTI)

Household miscellaneous loads, which include consumer electronics, are the fastest growing segment of household energy use in the United States. Although the relative energy intensity of applications such as heating and cooling is declining, the DOEAnnual Energy Outlook forecasts that the intensity of residential miscellaneous end uses will increase substantially by 2030. Studies by TIAX and Ecos Consulting reveal that miscellaneous devices8212smaller devices in terms of energy draw but growing in usage8...

2009-12-09T23:59:59.000Z

238

Technical Update: Load Modeling in Power System Studies  

Science Conference Proceedings (OSTI)

EPRI has been engaged in load modeling research since the 1980’s. In the past, EPRI conducted significant research in the area of load modeling and worked together with the Western Electricity Coordinating Council (WECC) Load Modeling Task Force in the development of the new composite load model developed and currently to be deployed in WECC. This work included extensive testing of various load components, such as residential air-conditioners, in the EPRI laboratories in Knoxville, TN. In ...

2013-12-10T23:59:59.000Z

239

Residential Price - Local Distribution Companies  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per ...

240

2001 Residential Energy Consumption Survey  

U.S. Energy Information Administration (EIA)

Residential Energy Consumption Survey ... Office of Management and Budget, Washington, DC 20503. Form EIA-457A (2001) Form Approval: OMB No. 1905-0092 ...

Note: This page contains sample records for the topic "residential hourly load" 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

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997  

U.S. Energy Information Administration (EIA)

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997. OVERVIEW: MOST POPULOUS STATES ... Homes with air-conditioning: 95%... with a central air-conditioning system: 83%

242

Residential ventilation standards scoping study  

E-Print Network (OSTI)

of new residences. The Hawaii Model Energy Code (HMEC) is aHawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Residential Energy Code

McKone, Thomas E.; Sherman, Max H.

2003-01-01T23:59:59.000Z

243

Natural Gas Residential Choice Programs  

U.S. Energy Information Administration (EIA)

Status of Natural Gas Residential Choice Programs by State as of December 2008 (Click on a State or its abbreviation for more information about that ...

244

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

245

Independent review of estimated load reductions for PJM's small customer load response pilot project  

E-Print Network (OSTI)

Abbreviations ADDF ALM AMR CSP DOE DR ELRP ETS EWH FERC HVa Curtailment Service Provider (CSP) at PJM’s request. LBNLof load control tests. The CSP collected hourly load data

Heffner, G.; Moezzi, M.; Goldman, C.

2004-01-01T23:59:59.000Z

246

Property For Homeowners- Residential  

E-Print Network (OSTI)

Targets improvements on certain types of property that will save energy when compared to the property which they replaced. • Provides for a uniform credit of 30 percent of the cost of qualifying improvements. • Cap for all tax years is now $1,500, three times the prior legislation provided. • Temporarily can rely on existing manufacturer certifications or appropriate Energy Star labels for purchasing qualified products. For Homeowners- Expanded Energy Efficient Property Tax Credit for Residences • Residential energy efficient property credit has expanded to include more alternate energy equipment.

Tom Sheaffer; Stakeholder Liaison; New Clean Renewable Energy Bonds

2009-01-01T23:59:59.000Z

247

ASHRAE and residential ventilation  

SciTech Connect

In the last quarter of a century, the western world has become increasingly aware of environmental threats to health and safety. During this period, people psychologically retreated away from outdoors hazards such as pesticides, smog, lead, oil spills, and dioxin to the seeming security of their homes. However, the indoor environment may not be healthier than the outdoor environment, as has become more apparent over the past few years with issues such as mold, formaldehyde, and sick-building syndrome. While the built human environment has changed substantially over the past 10,000 years, human biology has not; poor indoor air quality creates health risks and can be uncomfortable. The human race has found, over time, that it is essential to manage the indoor environments of their homes. ASHRAE has long been in the business of ventilation, but most of the focus of that effort has been in the area of commercial and institutional buildings. Residential ventilation was traditionally not a major concern because it was felt that, between operable windows and envelope leakage, people were getting enough outside air in their homes. In the quarter of a century since the first oil shock, houses have gotten much more energy efficient. At the same time, the kinds of materials and functions in houses changed in character in response to people's needs. People became more environmentally conscious and aware not only about the resources they were consuming but about the environment in which they lived. All of these factors contributed to an increasing level of public concern about residential indoor air quality and ventilation. Where once there was an easy feeling about the residential indoor environment, there is now a desire to define levels of acceptability and performance. Many institutions--both public and private--have interests in Indoor Air Quality (IAQ), but ASHRAE, as the professional society that has had ventilation as part of its mission for over 100 years, is the logical place to provide leadership. This leadership has been demonstrated most recently by the publication of the first nationally recognized standard on ventilation in homes, ASHRAE Standard 62.2-2003, which builds on work that has been part of ASHRAE for many years and will presumably continue. Homeowners and occupants, which includes virtually all of us, will benefit from the application of Standard 62.2 and use of the top ten list. This activity is exactly the kind of benefit to society that the founders of ASHRAE envisioned and is consistent with ASHRAE's mission and vision. ASHRAE members should be proud of their Society for taking leadership in residential ventilation.

Sherman, Max H.

2003-10-01T23:59:59.000Z

248

What do hourly performance data on a building tell us  

DOE Green Energy (OSTI)

Hourly performance data on a building contain valuable information on the dynamics of the building and of the HVAC systems. Quantities such as the building loss coefficient, solar gains, and the net effect of thermal masses and their couplings are all contained in the data. The building element vector analysis (BEVA) method has been applied to a multizone residential passive solar building monitored under the SERI Class B program. Using short-term data (approximately one week), the building parameters were regressed. With these as inputs, the subsequent performance of the building was well predicted. Using performance data for the period February 3-9, 1982, the building vectors were obtained by regression. The resulting best fit for the zone temperature is given. These parameters were used to predict the temperature for the period February 10-14. The resulting values are also plotted along with the outdoor temperature, solar radiation on a south vertical surface, and auxiliary energy for these periods.

Subbarao, K.

1984-11-01T23:59:59.000Z

249

Evaluation of evolving residential electricity tariffs  

E-Print Network (OSTI)

evolving residential electricity tariffs Judy Lai, Nicholasevolving residential electricity tariffs Judy Lai – Seniortariffs and explanation of baseline Until the middle of 2001, PG&E employed a two-tiered pricing structure for residential electricity

Lai, Judy

2011-01-01T23:59:59.000Z

250

A transient heat and mass transfer model of residential attics used to simulate radiant barrier retrofits. Part 1: Development  

SciTech Connect

This paper describes a transient heat and mass transfer model of residential attics. The model is used to predict hourly ceiling heat gain/loss in residences with the purpose of estimating reductions in cooling and heating loads produced by radiant barriers. The model accounts for transient conduction, convection, and radiation and incorporates moisture and air transport across the attic. Environmental variables, such as solar loads on outer attic surfaces and sky temperatures, are also estimated. The model is driven by hourly weather data which include: outdoor dry bulb air temperature, horizontal solar and sky radiation, wind speed and direction, relative humidity (or dew point), and cloud cover data. The output of the model includes ceiling heat fluxes, inner and outer heat fluxes from all surfaces, inner and outer surface temperatures, and attic dry bulb air temperatures. The calculated fluxes have been compared to experimental data of side-by-side testing of attics retrofit with radiant barriers. The model predicts ceiling heat flows with an error of less than 10% for most cases.

Medina, M.A. [Texas A and M Univ., Kingsville, TX (United States). Dept. of Mechanical and Industrial Engineering; O`Neal, D.L. [Texas A and M Univ., College Station, TX (United States). Dept. of Mechanical Engineering; Turner, W.D. [Texas Engineering Experiment Station, College Station, TX (United States). Energy Systems Lab.

1998-02-01T23:59:59.000Z

251

Hourly Energy Emission Factors for Electricity Generation in the United  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United Hourly Energy Emission Factors for Electricity Generation in the United States Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the eGRID subregions in the continental United States. These factors took into account electricity imports and exports

252

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

253

Electrical and Production Load Factors  

E-Print Network (OSTI)

Load factors are an important simplification of electrical energy use data and depend on the ratio of average demand to peak demand. Based on operating hours of a facility they serve as an important benchmarking tool for the industrial sector. The operating hours of small and medium sized manufacturing facilities are analyzed to identify the most common operating hour or shift work patterns. About 75% of manufacturing facilities fall into expected operating hour patterns with operating hours near 40, 80, 120 and 168 hours/week. Two types of load factors, electrical and production are computed for each shift classification within major industry categories in the U.S. The load factor based on monthly billing hours (ELF) increases with operating hours from about 0.4 for a nominal one shift operation, to about 0.7 for around-the-clock operation. On the other hand, the load factor based on production hours (PLF) shows an inverse trend, varying from about 1.4 for one shift operation to 0.7 for around-the-clock operation. When used as a diagnostic tool, if the PLF exceeds unity, then unnecessary energy consumption may be taking place. For plants operating at 40 hours per week, the ELF value was found to greater than the theoretical maximum, while the PLF value was greater than one, suggesting that these facilities may have significant energy usage outside production hours. The data for the PLF however, is more scattered for plants operating less than 80 hours per week, indicating that grouping PLF data based on operating hours may not be a reasonable approach to benchmarking energy use in industries. This analysis uses annual electricity consumption and demand along with operating hour data of manufacturing plants available in the U.S. Department of Energy’s Industrial Assessment Center (IAC) database. The annual values are used because more desirable monthly data are not available. Monthly data are preferred as they capture the load profile of the facility more accurately. The data there come from Industrial Assessment Centers which employ university engineering students, faculty and staff to perform energy assessments for small to medium-sized manufacturing plants. The nation-wide IAC program is sponsored by the U.S. Department of Energy.

Sen, Tapajyoti

2009-12-01T23:59:59.000Z

254

San Francisco residential energy consumption. Final report  

SciTech Connect

Heating and cooling energy requirements were determined by a computerized program for characteristic single-family, townhouse, low - rise, and high - rise residences in San Francisco, Calif., with 1951 selected as being a typical weather year for the area. Energy requirements were calculated using a two - step process. In the first step, hourly heating and cooling loads were calculated for each dwelling unit. In the second step, monthly and annual energy required to meet heating and cooling loads was calculated using specific heating, cooling, and ventilation systems. Examples of lifestyle parameters included in the analysis were thermostat set points, relative humidity set points, type and number of appliances, daily profile of appliance use, and use of ventilation fans. The computer program used to determine heating and cooling loads, or heat delivery / removal requirements, included subroutines for computing hourly load contributions throughout the year due to conduction, convection, air infiltration, radiation, and internal heat gain. The heating load was much greater than the cooling load for single - family and high - rise residences, due to large amounts of infiltration. Heating and cooling loads were similar in the townhouses. The low - rise residences had a cooling load larger than their heating load because of internal heat generation. After structural and comfort control system modifications were made to the residences, heating and cooling energy requirements were again determined. Reduced energy consumption as a result of the modifications were as follows: single - family residences consumed 50 percent, townhouses consumed 50 percent, low - rise residences consumed 57 percent, and high - rise residences consumed 64 percent of the primary energy required by the characteristic structure. Supporting data, illustrative layouts of the residences, and references are included.

Reed, J.E.; Barber, J.E.; White, B.

1976-12-01T23:59:59.000Z

255

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

256

Detroit Public Lighting Department - Residential Energy Wise...  

Open Energy Info (EERE)

Multi-Family Residential, Residential Eligible Technologies Ceiling Fan, Lighting, LED Lighting Active Incentive Yes Implementing Sector Utility Energy Category Energy...

257

NREL: Energy Systems Integration - Residential and Commercial...  

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

Residential and Commercial Integration Energy systems integration R&D at the small-scale, residential and commercial integration level encompasses diverse technologies such as...

258

Cedarburg Light & Water Utility - Residential Energy Efficiency...  

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

Cedarburg Light & Water Utility - Residential Energy Efficiency Rebate Program Cedarburg Light & Water Utility - Residential Energy Efficiency Rebate Program Eligibility Low-Income...

259

Residential Sector Demand Module 1995, Model Documentation  

Reports and Publications (EIA)

This updated version of the NEMS Residential Module Documentation includes changesmade to the residential module for the production of the Annual Energy Outlook 1995.

John H. Cymbalsky

1995-03-01T23:59:59.000Z

260

Minnesota Energy Resources (Gas) - Residential Energy Efficiency...  

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

Agencies You are here Home Savings Minnesota Energy Resources (Gas) - Residential Energy Efficiency Rebate Program Minnesota Energy Resources (Gas) - Residential Energy...

Note: This page contains sample records for the topic "residential hourly load" 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

Better Buildings Neighborhood Program: Better Buildings Residential...  

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

Better Buildings Residential Network to someone by E-mail Share Better Buildings Neighborhood Program: Better Buildings Residential Network on Facebook Tweet about Better Buildings...

262

Energy Efficiency Report: Chapter 3: Residential Sector  

U.S. Energy Information Administration (EIA)

3. The Residential Sector Introduction. More than 90 million single-family, multifamily, and mobile home households encompass the residential sector.

263

CONTAM Libraries - Appendix C2: Miscellaneous Residential ...  

Science Conference Proceedings (OSTI)

... item, C2. CPEN_RAV, Residential, HVAC ceiling penetration, typical value, ELA4, 5 cm 2 /item, C2. CPEN_RMN, Residential, ...

264

Peak Electricity Impacts of Residential Water Use  

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

Peak Electricity Impacts of Residential Water Use Title Peak Electricity Impacts of Residential Water Use Publication Type Report LBNL Report Number LBNL-5736E Year of Publication...

265

National Grid (Electric) - Residential Energy Efficiency Rebate...  

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

Residential Energy Efficiency Rebate Programs (Upstate New York) National Grid (Electric) - Residential Energy Efficiency Rebate Programs (Upstate New York) Eligibility Installer...

266

Avista Utilities (Electric) - Residential Energy Efficiency Rebate...  

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

residential customers to save energy in eligible homes. Offers apply to residential homeowners in Idaho who heat homes primarily with Avista electricity Incentives vary depending...

267

Does Mixing Make Residential Ventilation More Effective?  

E-Print Network (OSTI)

Does Mixing Make Residential Ventilation More Effective? Maxmanufacturer, or otherwise, does not necessarily constitutethe University of California. Does Mixing Make Residential

Sherman, Max

2011-01-01T23:59:59.000Z

268

Performance Criteria for Residential Zero Energy Windows  

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

Performance Criteria for Residential Zero Energy Windows Title Performance Criteria for Residential Zero Energy Windows Publication Type Conference Paper LBNL Report Number...

269

RESIDENTIAL WEATHERIZATION SPECIFICATIONS August 30, 2011  

E-Print Network (OSTI)

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

270

Residential Code Development | Building Energy Codes Program  

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

Residential Code Development Subscribe to updates To receive news and updates about code development activities subscribe to the BECP Mailing List. The model residential building...

271

Residential Commissioning: A Review of Related Literature  

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

Residential Commissioning: A Review of Related Literature Title Residential Commissioning: A Review of Related Literature Publication Type Report LBNL Report Number LBNL-44535 Year...

272

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

273

The Autocorrelation of Hourly Wind Speed Observations  

Science Conference Proceedings (OSTI)

The autocorrelation of hourly wind speed observations is estimated for seven stations on the west coast of Canada at selected lags ranging from one hour to two months. The estimated autocorrelation function is fitted by a model that includes a ...

Arthur C. Brett; Stanton E. Tuller

1991-06-01T23:59:59.000Z

274

Virtualizing office hours in CS 50  

Science Conference Proceedings (OSTI)

In Fall 2007, we introduced "virtual office hours" into Harvard College's introductory computer science course, CS 50, so that students could meet with teaching fellows (TFs) online to discuss problem sets at any hour from anywhere. Our goals were to ... Keywords: CSCW, collaboration, distance education, virtual office hours

David J. Malan

2009-07-01T23:59:59.000Z

275

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.

276

Advancing Residential Energy Retrofits  

Science Conference Proceedings (OSTI)

To advance the market penetration of residential retrofits, Oak Ridge National Laboratory (ORNL) and Southface Energy Institute (Southface) partnered to provide technical assistance on nine home energy retrofits in metropolitan Atlanta with simulated source energy savings of 30% to 50%. Retrofit measures included duct sealing, air infiltration reductions, attic sealing and roofline insulation, crawlspace sealing, HVAC and water heating equipment replacement, and lighting and appliance upgrades. This paper will present a summary of these measures and their associated impacts on important home performance metrics, such as air infiltration and duct leakage. The average estimated source energy savings for the homes is 33%, and the actual heating season average savings is 32%. Additionally, a case study describing expected and realized energy savings of completed retrofit measures of one of the homes is described in this paper.

Jackson, Roderick K [ORNL; Boudreaux, Philip R [ORNL; Kim, Eyu-Jin [Southface Energy Institute; Roberts, Sydney [Southface Energy Institute

2012-01-01T23:59:59.000Z

277

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.

278

GridLAB-D Technical Support Document: Residential End-Use Module Version 1.0  

SciTech Connect

1.0 Introduction The residential module implements the following end uses and characteristics to simulate the power demand in a single family home: • Water heater • Lights • Dishwasher • Range • Microwave • Refrigerator • Internal gains (plug loads) • House (heating/cooling loads) The house model considers the following four major heat gains/losses that contribute to the building heating/cooling load: 1. Conduction through exterior walls, roof and fenestration (based on envelope UA) 2. Air infiltration (based on specified air change rate) 3. Solar radiation (based on CLTD model and using tmy data) 4. Internal gains from lighting, people, equipment and other end use objects. The Equivalent Thermal Parameter (ETP) approach is used to model the residential loads and energy consumption. The following sections describe the modeling assumptions for each of the above end uses and the details of power demand calculations in the residential module.

Taylor, Zachary T.; Gowri, Krishnan; Katipamula, Srinivas

2008-07-31T23:59:59.000Z

279

Selected cost considerations for geothermal district heating in existing single-family residential areas  

DOE Green Energy (OSTI)

In the past, district heating (geothermal or conventionally fueled) has not been widely applied to the single-family residential sector. Low-heat load density is the commonly cited reason for this. Although it`s true that load density in these areas is much lower than for downtown business districts, other frequently overlooked factors may compensate for load density. In particular, costs for distribution system installation can be substantially lower in some residential areas due to a variety of factors. This reduced development cost may partially compensate for the reduced revenue resulting from low-load density. This report examines cost associated with the overall design of the system (direct or indirect system design), distribution piping installation, and customer branch lines. It concludes with a comparison of the costs for system development and the revenue from an example residential area.

Rafferty, K.

1996-06-01T23:59:59.000Z

280

Incentivizing Advanced Load Scheduling in Smart Homes  

Science Conference Proceedings (OSTI)

In recent years, researchers have proposed numerous advanced load scheduling algorithms for smart homes with the goal of reducing the grid's peak power usage. In parallel, utilities have introduced variable rate pricing plans to incentivize residential ... Keywords: Battery, Electricity, Energy, Grid

Ye Xu, David Irwin, Prashant Shenoy

2013-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "residential hourly load" 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

Today in Energy - Residential Consumption & Efficiency  

Reports and Publications (EIA)

Short, timely articles with graphs about recent residential consumption and efficiency issues and trends

282

Reducing indoor residential exposures to outdoor pollutants  

E-Print Network (OSTI)

combustion in motor vehicles, electricity generation and industrial processes, as well as residential fireplaces and wood

Sherman, Max H.; Matson, Nance E.

2003-01-01T23:59:59.000Z

283

RESIDENTIAL THERMOSTATS: COMFORT CONTROLS IN CALIFORNIA HOMES  

E-Print Network (OSTI)

comfort, and alternative cooling strategies”. Occupants veryNon-Compressor Cooling Alternatives for Reducing Residential

Meier, Alan K.

2008-01-01T23:59:59.000Z

284

Residential Census Maps - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Home >>Energy Users > Residential Home Page > Census Maps . U. S. Census Regions and Divisions: Contact: James ...

285

{Control of Residential Load Management Networks Using Real Time Pricing  

E-Print Network (OSTI)

Static Setback Demand Response . . . . . . . . . . . . . . .Mitigation Demand Response . . . . . . . . . . . . . . .Cost Ratio Demand Response . . . . . . . . . . . . . . . .

Burke, William Jerome

2010-01-01T23:59:59.000Z

286

{Control of Residential Load Management Networks Using Real Time Pricing  

E-Print Network (OSTI)

The interconnected smart grid promises many advantages toplays a key role in the smart grid’s ability to deliver onSimulation To ensure the smart grid truly is “smart” before

Burke, William Jerome

2010-01-01T23:59:59.000Z

287

Building Energy Software Tools Directory: HVAC Residential Load...  

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

New Tools DOE Sponsored Tools Submit a Tool Disclaimer Tools by Subject Tools Listed Alphabetically Tools by Platform...

288

Building Energy Software Tools Directory: HVAC Residential Load...  

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

Tools by Country Australia Austria Belarus Belgium Brazil Canada Chile China Czech Republic Denmark Finland France Germany India Ireland Israel Italy Japan Netherlands New Zealand...

289

The impact of filter loading on residential hvac performance.  

E-Print Network (OSTI)

??Buildings are the primary user of energy in the USA. Within homes, the heating, ventilation, and air condition (HVAC) system is the largest energy consumer.… (more)

Kruger, Abraham J.

2013-01-01T23:59:59.000Z

290

Investigation of residential central air conditioning load shapes in NEMS  

E-Print Network (OSTI)

like refrigerators, whose baseload shape is flat, a higherload, yielding a flatter (baseload) profile. However, for a

Hamachi LaCommare, Kristina; Marnay, Chris; Gumerman, Etan; Chan, Peter; Rosenquist, Greg; Osborn, Julie

2002-01-01T23:59:59.000Z

291

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...

292

Infiltration Effects on Residential Pollutant Concentrations for Continuous  

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

Infiltration Effects on Residential Pollutant Concentrations for Continuous Infiltration Effects on Residential Pollutant Concentrations for Continuous and Intermittent Mechanical Ventilation Approaches Title Infiltration Effects on Residential Pollutant Concentrations for Continuous and Intermittent Mechanical Ventilation Approaches Publication Type Journal Article LBNL Report Number LBNL-3978E Year of Publication 2011 Authors Sherman, Max H., Jennifer M. Logue, and Brett C. Singer Journal HVAC&R Research Volume 17 Issue 2 Pagination 159 Publisher Lawrence Berkeley National Laboratory Keywords resave Abstract The prevailing residential ventilation standard in North America, American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Standard 62.2, specifies volumetric airflow requirements as a function of the overall size of the home and the number of bedrooms, assumes a fixed, minimal amount of infiltration, and requires mechanical ventilation to achieve the remainder. The standard allows for infiltration credits and intermittent ventilation patterns that can be shown to provide comparable performance. Whole-house ventilation methods have a substantial effect on time-varying indoor pollutant concentrations. If alternatives specified by Standard 62.2, such as intermittent ventilation, are used, short-term pollutant concentrations could exceed acute health standards even if chronic health standards are met.The authors present a methodology for comparing ASHRAE- and non-ASHRAE-specified ventilation scenarios on relative indoor pollutant concentrations. We use numerical modeling to compare the maximum time-averaged concentrations for acute exposure relevant (1-hour, 8-hour, 24-hour ) and chronic exposure relevant (1-year) time periods for four different ventilation scenarios in six climates with a range of normalized leakage values. The results suggest that long-term concentrations are the most important metric for assessing the effectiveness of whole-house ventilation systems in meeting exposure standards and that, if chronic health exposure standards are met, acute standards will also be met.

293

A Reference Design for Residential Energy Gateways: Development and  

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

A Reference Design for Residential Energy Gateways: Development and A Reference Design for Residential Energy Gateways: Development and Implications Speaker(s): Daniel Arnold Date: October 28, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page Recent advances in communications, policy, and the installation of smart meters in residences across America has opened the realm of the residence to the possibility of advanced electrical load monitoring and control. With no concrete standards or roadmaps governing communications and capabilities, a fractured market of Gateways, IHDs (In Home Displays), load control switches, and smart appliances has emerged in an attempt to take advantage of this burgeoning opportunity. What results from this mixture is a lack of interoperability amongst products, which limits consumer

294

Thermal Performance of Phase-Change Wallboard for Residential Cooling  

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

6 6 Thermal Performance of Phase-Change Wallboard for Residential Cooling Cooling residential buildings in milder climates contributes significantly to peak demand mainly because of poor load factors. Peak cooling load determines the size of equipment and the cooling source. Several measures reduce cooling-system size and allow the use of lower-energy cooling sources; they include incorporating exterior walls or other elements that effectively shelter interiors from outside heat and cold, and providing thermal mass, to cool interior spaces during the day by absorbing heat and warm them at night as the mass discharges its heat. Thermal mass features may be used for storage only or serve as structural elements. Concrete, steel, adobe, stone, and brick all satisfy requirements

295

Practical Diagnostics for Evaluating Residential Commissioning Metrics  

SciTech Connect

In this report, we identify and describe 24 practical diagnostics that are ready now to evaluate residential commissioning metrics, and that we expect to include in the commissioning guide. Our discussion in the main body of this report is limited to existing 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. Appendix C describes the 83 other diagnostics that we have examined in the course of this project, but that are not ready or are inappropriate for residential commissioning. Combined with Appendix B, Table 1 in the main body of the report summarizes the advantages and disadvantages of all 107 diagnostics. We first describe what residential commissioning is, its characteristic elements, and how one might structure its process. Our intent in this discussion is to formulate and clarify these issues, but is largely preliminary because such a practice does not yet exist. Subsequent sections of the report describe metrics one can use in residential commissioning, along with the consolidated set of 24 practical diagnostics that the building industry can use now to evaluate them. Where possible, we also discuss the accuracy and usability of diagnostics, based on recent laboratory work and field studies by LBNL staff and others in more than 100 houses. These studies concentrate on evaluating diagnostics in the following four areas: the DeltaQ duct leakage test, air-handler airflow tests, supply and return grille airflow tests, and refrigerant charge tests. Appendix A describes those efforts in detail. In addition, where possible, we identify the costs to purchase diagnostic equipment and the amount of time required to conduct the diagnostics. Table 1 summarizes these data. Individual equipment costs for the 24 practical diagnostics range from a few hundred dollars to many thousands of dollars. The higher costs are associated with infrared thermography and state-of-the-art automated diagnostic systems. Most tests can be performed in one hour or less, using equipment priced toward the lower end of the cost spectrum.

Wray, Craig; Walker, Iain; Siegel, Jeff; Sherman, Max

2002-06-11T23:59:59.000Z

296

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)

297

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.

298

Residential heating oil prices increase  

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

ago to 3.98 per gallon. That's up 6-tenths of a penny from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. Heating oil...

299

Residential heating oil prices increase  

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

last week to 3.92 per gallon. That's down 11 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. The price for...

300

Residential heating oil prices increase  

Gasoline and Diesel Fuel Update (EIA)

last week to 3.96 per gallon. That's down 2.6 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. The price for...

Note: This page contains sample records for the topic "residential hourly load" 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

Residential Broadband, 2nd edition  

Science Conference Proceedings (OSTI)

From the Publisher:This comprehensive, accessible resource organizes and puts in context the complexities and variables that characterize full-scale deployment of residential broadband networks. This book provides valuable information and perspective ...

George Abe

1999-12-01T23:59:59.000Z

302

OpenEI - hourly emission factors  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4640 en Hourly Energy Emission Factors for Electricity Generation in the United States http:en.openei.orgdatasetsnode488...

303

Light Logger Placement Guidelines for Residential Lighting Studies  

Science Conference Proceedings (OSTI)

New technological advancements in lighting have increased the efficiency of residential lighting loads. Light loggers, which use a photocell to sense when lights are on or off, provide valuable metering information for use in measuring technology effectiveness and designing marketing programs. Placement of the loggers is critical to the accuracy and reliability of the measurements. This report provides placement recommendations for various types of lighting, expected accuracy compared to metered energy, ...

1996-03-28T23:59:59.000Z

304

Power Quality for T&D: Grid IQ Circuit Analysis Using 2030 Load Mix Projections  

Science Conference Proceedings (OSTI)

One of the key sources of harmonic injections into the distribution systems is usage of power electronics in residential and commercial loads, and the proportion of power electronics-based loads can be expected to increase in the future. This expectation is supported by data on projected trends in electricity consumption for different load types in both residential and commercial categories for 2010–2035 published in Annual Energy Outlook 2011 with Projections to 2035 by the U.S. ...

2012-12-06T23:59:59.000Z

305

Evaluation of air-conditioning compressor performance for assessment of load management potential  

Science Conference Proceedings (OSTI)

Residential air-conditioning contributes heavily to the electrical utilities' summer peak demand. Cycling programs in which utilities turn off air-conditioning compressors a certain percentage of each hour through remotely-controlled switches can help ...

Jerry R. Harber; Aileen Henson

1982-04-01T23:59:59.000Z

306

Realizing load reduction functions by aperiodic switching of load groups  

SciTech Connect

This paper investigates the problem of scheduling ON/OFF switching of residential appliances under the control of a Load Management System (LMS). The scheduling process is intended to reduce the controlled appliances` power demand in accordance with a predefined load reduction profile. To solve this problem, a solution approach, based on the methodology of Pulse Width Modulation (PWM), is introduced. This approach provides a flexible mathematical basis for studying different aspects of the scheduling problem. The conventional practices in this area are shown to be special cases of the PWM technique. By applying the PWM-based technique to the scheduling problem, important classes of scheduling errors are identified and analytical expressions describing them are derived. These expressions are shown to provide sufficient information to compensate for the errors. Detailed simulations of load groups` response to switching actions are use to support conclusions of this study.

Navid-Azarbaijani, N. [McGill Univ., Montreal, Quebec (Canada). Dept. of Electrical Engineering; Banakar, M.H. [CAE Electronics Ltd., St. Laurent, Quebec (Canada)

1996-05-01T23:59:59.000Z

307

Geothermal Energy: Residential Space Heating  

DOE Green Energy (OSTI)

The purpose of this study, which was carried out under the auspices of the DGRST, was to determine the best way to use geothermal hot water for residential space heating. It quickly became apparent that the type of heating apparatus used in the housing units was most important and that heat pumps could be a valuable asset, making it possible to extract even more geothermal heat and thus substantially improve the cost benefit of the systems. Many factors play a significant role in this problem. Therefore, after a first stage devoted to analyzing the problem through a manual method which proved quite useful, the systematic consideration of all important aspects led us to use a computer to optimize solutions and process a large number of cases. The software used for this general study can also be used to work out particular cases: it is now available to any interested party through DGRST. This program makes it possible to: (1) take climatic conditions into account in a very detailed manner, including temperatures as well as insolation. 864 cases corresponding to 36 typical days divided into 24 hours each were chosen to represent the heating season. They make it possible to define the heating needs of any type of housing unit. (2) simulate and analyze the behavior in practice of a geothermal heating system when heat is extracted from the well by a simple heat exchanger. This simulation makes it possible to evaluate the respective qualities of various types of heating apparatus which can be used in homes. It also makes it possible to define the best control systems for the central system and substations and to assess quite accurately the presence of terminal controls, such as radiators with thermostatically controlled valves. (3) determine to what extent the addition of a heat pump makes it possible to improve the cost benefit of geothermal heating. When its average characteristics and heating use conditions (price, coefficient of performance, length of utilization, electrical rates, etc.) are taken into account, the heat pump should not be scaled for maximum heating power. Consequently, the program considers several possible sizes, with different installation schemes, and selects for each case the value which corresponds to the lowest cost of heating.

None

1977-03-01T23:59:59.000Z

308

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

309

Global residential appliance standards  

SciTech Connect

In most countries, residential electricity consumption typically ranges from 20% to 40% of total electricity consumption. This energy is used for heating, cooling, refrigeration and other end-uses. Significant energy savings are possible if new appliance purchases are for models with higher efficiency than that of existing models. There are several ways to ensure or encourage such an outcome, for example, appliance rebates, innovative procurement, and minimum efficiency standards. This paper focuses on the latter approach. At the present time, the US is the only country with comprehensive appliance energy efficiency standards. However, many other countries, such as Australia, Canada, the European Community (EC), Japan and Korea, are considering enacting standards. The greatest potential impact of minimum efficiency standards for appliances is in the developing countries (e.g., China and India), where saturations of household appliances are relatively low but growing rapidly. This paper discusses the potential savings that could be achieved from global appliance efficiency standards for refrigerators and freezers. It also could be achieved from global appliance efficiency standards for refrigerators and freezers. It also discusses the impediments to establishing common standards for certain appliance types, such as differing test procedures, characteristics, and fuel prices. A methodology for establishing global efficiency standards for refrigerators and freezers is described.

Turiel, I.; McMahon, J.E. [Lawrence Berkeley Lab., CA (US); Lebot, B. [Agence Francaise pour la Maitrise de l`Energie, Valbonne (FR)

1993-03-01T23:59:59.000Z

310

PowerChoice Residential Customer Response to TOU Rates  

Science Conference Proceedings (OSTI)

Research Into Action, Inc. and the Sacramento Municipal Utility District (SMUD) worked together to conduct research on the behaviors and energy use patterns of SMUD residential customers who voluntarily signed on to a Time-of-Use rate pilot launched under the PowerChoice label. The project was designed to consider the how and why of residential customers ability and willingness to engage in demand reduction behaviors, and to link social and behavioral factors to observed changes in demand. The research drew on a combination of load interval data and three successive surveys of participating households. Two experimental treatments were applied to test the effects of increased information on households ability to respond to the Time-of-Use rates. Survey results indicated that participants understood the purpose of the Time-of-Use rate and undertook substantial appropriate actions to shift load and conserve. Statistical tests revealed minor initial price effects and more marked, but still modest, adjustments to seasonal rate changes. Tests of the two information interventions indicated that neither made much difference to consumption patterns. Despite the lackluster statistical evidence for load shifting, the analysis points to key issues for critical analysis and development of residential Time-of-Use rates, especially pertinent as California sets the stage for demand response in more California residences.

Peters, Jane S.; Moezzi, Mithra; Lutzenhiser, Susan; Woods, James; Dethman, Linda; Kunkle, Rick

2009-10-01T23:59:59.000Z

311

Lighting in Residential and Commercial Buildings (1993 and 1995 Data) --  

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

Commercial Buildings Home > Special Topics and Data Reports > Types of Lights Commercial Buildings Home > Special Topics and Data Reports > Types of Lights Picture of a light bulb At Home and At Work: What Types of Lights Are We Using? Two national EIA surveys report that . . . Of residential households, 98 percent use incandescent, 42 percent use fluorescent. Of commercial buildings, 59 percent use incandescent, 92 percent use fluorescent. At a glance, we might conclude that substantial energy savings could occur in both the residential and commercial sectors if they replaced their incandescent lights with fluorescent lights, given that fluorescent lights consume approximately 75-85 percent less electricity than incandescent lights. In the residential sector, this is true. However, in the commercial sector, where approximately 92 percent of the buildings already use fluorescent lights, increasing energy savings will require upgrading existing lights and lighting systems. To maximize energy savings, analysis must also consider the hours the lights are used and the amount of floorspace lit by that lighting type. Figures 1 and 2 show the types of lights used by the percent of households and by the percent of floorspace lit for the residential and the commercial sectors, respectively.

312

Solar load ratio method applied to commercial building active solar system sizing  

DOE Green Energy (OSTI)

The hourly simulation procedure is the DOE-2 building energy analysis computer program. It is capable of calculating the loads and of simulating various control strategies in detail for both residential and commercial buildings and yet is computationally efficient enough to be used for extensive parametric studies. In addition, to a Building Service Hot Water (BSHW) System and a combined space heating and hot water system using liquid collectors for a commercial building analyzed previously, a space heating system using an air collector is analyzed. A series of runs is made for systems using evacuated tube collectors for comparison to flat-plate collectors, and the effects of additional system design parameters are investigated. Also, the generic collector types are characterized by standard efficiency curves, rather than by detailed collector specifications. (MHR)

Schnurr, N.M.; Hunn, B.D.; Williamson, K.D. III

1981-01-01T23:59:59.000Z

313

Flexible Residential Smart Grid Simulation Framework  

E-Print Network (OSTI)

Different scheduling and coordination algorithms controlling household appliances’ operations can potentially lead to energy consumption reduction and/or load balancing in conjunction with different electricity pricing methods used in smart grid programs. In order to easily implement different algorithms and evaluate their efficiency against other ideas, a flexible simulation framework is desirable in both research and business fields. However, such a platform is currently lacking or underdeveloped. In this thesis, we provide a simulation framework to focus on demand side residential energy consumption coordination in response to different pricing methods. This simulation framework, equipped with an appliance consumption library using realistic values, aims to closely represent the average usage of different types of appliances. The simulation results of traditional usage yield close matching values compared to surveyed real life consumption records. Several sample coordination algorithms, pricing schemes, and communication scenarios are also implemented to illustrate the use of the simulation framework.

Wang Xiang; Thomas Kunz; Marc St-hilaire; Wang Xiang

2013-01-01T23:59:59.000Z

314

Los angeles residential energy consumption. Final report  

SciTech Connect

Heating and cooling energy requirements were determined for characteristic single - family, townhouse, low - rise, and high - rise residences in Los Angeles, Calif. Using 1951 as a typical weather year for the area, heating and cooling energy requirements were determined for modified versions of these characteristic residences after both structural and comfort control modifications had been incorporated. Parameters of concern were structural (construction details, dimensions, and materials), energy consumption (heating and cooling equipment, types of fuel and energy used, and appliances and their energy consumption levels), and lifestyle (thermostat set points, relative humidity points, type and number of appliances, daily profile of appliance use, and use of ventilation fans). Annual heating and cooling loads and resultant energy requirements were calculated with the aid of a computer program. This program included subroutines for determining hourly load contributions throughout the year due to conduction, convection, air infiltration, radiation, and internal heat gain. The cooling load for the single - family residence was moderately larger than the heating load. Due to increased internal heat generation, the cooling load for the remaining residences was much larger than the heating load. Energy - conserving modifications resulted in the following: single - family residences required 55 percent, townhouse residences required 57 percent, low - rise residences required 55 percent, and high - rise residences required 82 percent of the primary energy consumed by the characteristic structure. Supporting data, illustrative layouts of the residences, and a list of references are included.

Reed, J.E.; Barber, J.E.; White, B.

1976-09-01T23:59:59.000Z

315

Waverly Light & Power - Residential Solar Thermal Rebates | Department...  

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

Waverly Light & Power - Residential Solar Thermal Rebates Waverly Light & Power - Residential Solar Thermal Rebates Eligibility Residential Savings For Heating & Cooling Solar...

316

Residential Forced Air System Cabinet Leakage and Blower Performance  

E-Print Network (OSTI)

in Residential Space Conditioning  Systems.   Canadian in residential space conditioning systems”.   Keywords: in residential space conditioning systems”. This standard

Walker, Iain S.

2010-01-01T23:59:59.000Z

317

Holyoke Gas and Electric - Residential Energy Efficiency Loan...  

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

Holyoke Gas and Electric - Residential Energy Efficiency Loan Program Holyoke Gas and Electric - Residential Energy Efficiency Loan Program Eligibility Multi-Family Residential...

318

Baltimore Gas and Electric Company (Gas) - Residential Energy...  

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

(Gas) - Residential Energy Efficiency Rebate Program Baltimore Gas and Electric Company (Gas) - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For...

319

New Hampshire Electric Co-Op - Residential Solar Photovoltaic...  

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

Residential Solar Photovoltaic Incentive Program New Hampshire Electric Co-Op - Residential Solar Photovoltaic Incentive Program Eligibility Residential Savings For Solar Buying &...

320

Columbia Water & Light - Residential Super Saver Loans | Department...  

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

Super Saver Loans Columbia Water & Light - Residential Super Saver Loans Eligibility Multi-Family Residential Residential Savings For Home Weatherization Commercial Weatherization...

Note: This page contains sample records for the topic "residential hourly load" 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

Xcel Energy (Gas and Electric) - Residential Energy Efficiency...  

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

Residential Energy Efficiency Rebate Programs Xcel Energy (Gas and Electric) - Residential Energy Efficiency Rebate Programs Eligibility Residential Savings For Home Weatherization...

322

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

1989. Residential End-Use Energy Consumption: A Survey ofCathy R. Zoi. 1986. Unit Energy Consumption of ResidentialResidential Unit Energy Consumption Coefficients, Palo Alto,

Wenzel, T.P.

2010-01-01T23:59:59.000Z

323

Holy Cross Energy - WE CARE Residential Energy Efficiency Rebate...  

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

Residential Energy Efficiency Rebate Program (Coloado) Holy Cross Energy - WE CARE Residential Energy Efficiency Rebate Program (Coloado) < Back Eligibility Residential Savings...

324

Bandera Electric Cooperative - Residential Heat Pump Rebate Program...  

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

Bandera Electric Cooperative - Residential Heat Pump Rebate Program Bandera Electric Cooperative - Residential Heat Pump Rebate Program Eligibility Residential Savings For Heating...

325

Guam - Solar-Ready Residential Building Requirement | Department...  

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

Solar-Ready Residential Building Requirement Guam - Solar-Ready Residential Building Requirement < Back Eligibility Construction Residential Savings Category Heating & Cooling...

326

NineStar Connect - Residential Energy Efficient Equipment Rebate...  

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

NineStar Connect - Residential Energy Efficient Equipment Rebate Program NineStar Connect - Residential Energy Efficient Equipment Rebate Program Eligibility Residential Savings...

327

Financing Non-Residential Photovoltaic Projects: Options and Implications  

E-Print Network (OSTI)

of panel titled “Financing Residential and Small CommercialL ABORATORY Financing Non-Residential Photovoltaic Projects:1 2. Policy Support for Non-Residential PV

Bolinger, Mark

2009-01-01T23:59:59.000Z

328

Meeting Residential Ventilation Standards Through Dynamic Control of Ventilation Systems  

E-Print Network (OSTI)

Rudd. 2007. Review of residential ventilation technologies.2009. EISG Final Report: Residential Integrated VentilationDesign and Operation of Residential Cooling Systems. Proc.

Sherman, Max H.

2011-01-01T23:59:59.000Z

329

Residential Self Selection and Rail Commuting: A Nested Logit Analysis  

E-Print Network (OSTI)

Holtzclaw, J. 1994. Using Residential Patterns and TransitOwnership and Use: How Much Does Residential Density Matter?to transit when making residential choices. Table 1. Nested

Cervero, Robert; Duncan, Michael

2008-01-01T23:59:59.000Z

330

Residential segregation and health behavior among Black adults  

E-Print Network (OSTI)

Separate and unequal: Residential segregation and Black1988). The dimensions of residential segregation. SocialD. (Under review). Residential segregation and exercise

Corral, Irma

2009-01-01T23:59:59.000Z

331

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network (OSTI)

Efficiency Standards in the Residential Electricity Sector.France. USDOE (2001). Residential Energy Consumption Survey,long-term response of residential cooling energy demand to

McNeil, Michael A.

2010-01-01T23:59:59.000Z

332

On The Valuation of Infiltration towards Meeting Residential Ventilation Needs  

E-Print Network (OSTI)

Literature Related to Residential Ventilation Requirements”.A. 2005. “Review of Residential Ventilation Technologies”,M.H. and Matson N.E. , “Residential Ventilation and Energy

Sherman, Max H.

2008-01-01T23:59:59.000Z

333

Residential Forced Air System Cabinet Leakage and Blower Performance  

E-Print Network (OSTI)

CA.   CEC (2008b).  Residential Alternative Calculation Standard for Air Handlers in Residential Space Conditioning of Standards Options for Residential Air Handler Fans.   

Walker, Iain S.

2010-01-01T23:59:59.000Z

334

Residential fenestration performance analysis using RESFEN3.1  

SciTech Connect

This paper describes the development efforts of RESFEN3.1, a PC-based computer program for calculating the heating and cooling energy performance and cost of residential fenestration systems. The development of RESFEN has been coordinated with ongoing efforts by the National Fenestration Rating Council (NFRC) to develop an energy rating system for windows and slqdights to maintain maximum consistency between RESFEN and NFRC's planned energy rating system. Unlike previous versions of RESFEN, that used regression equations to replicate a large database of computer simulations, Version 3.1 produces results based on actual hour-by-hour simulations. This approach has been facilitated by the exponential increase in the speed of personal computers in recent years. RESFEN3.1 has the capability of analyzing the energy performance of windows in new residential buildings in 52 North American locations. The user describes the physical, thermal and optical properties of the windows in each orientation, solar heat gain reductions due to obstructions, overhangs, or shades; and the location of the house. The RESFEN program then models a prototypical house for that location and calculates the energy use of the house using the DOE-2 program. The user can vary the HVAC system, foundation type, and utility costs. Results are presented for the annual heating and cooling energy use, energy cost, and peak energy demand of the house, and the incremental energy use or peak demand attributable to the windows in each orientation. This paper describes the capabilities of RESFEN3.1, its usefulness in analyzing the energy performance of residential windows and its development effort and gives insight into the structure of the computer program. It also discusses the rationale and benefits of the approach taken in RESFEN in combining a simple-to-use graphical front-end with a detailed hour-by-hour ''simulation engine'' to produce an energy analysis tool for the general public that is user-friendly yet highly accurate.

Huang, Y.J.; Mitchell, R.; Arasteh, D.; Selkowitz, S.

1999-02-01T23:59:59.000Z

335

Analysis of historical residential air-conditioning equipment sizing using monitored data  

SciTech Connect

Monitored data were analyzed to determine whether residential air conditioners in the Pacific Northwest historically have been sized properly to meet or slightly exceed actual cooling requirements. Oversizing air-conditioning equipment results in a loss of efficiency because of increased cycling and also lowers humidity control. On the other hand, the penalty of undersizing air-conditioning equipment may be some loss of comfort during extremely hot weather. The monitored data consist of hourly space-conditioning electrical energy use and internal air temperature data collected during the past 7 years from 75 residences in the Pacific Northwest. These residences are equipped with central air conditioners or heat pumps. The periods with the highest cooling energy use were analyzed for each site. A standard industry sizing methodology was used for each site to determine a sizing estimate. Both the sizing recommendation based on Manual J and peak monitored loads are compared to the capacity of the installed equipment for each site to study how the actual capacity differed from both the estimate of proper sizing and from actual demands. Characteristics of the maximum cooling loads are analyzed here to determine which conditions put the highest demand on the air conditioner. Specifically, internal air temperature data are used to determine when the highest cooling loads occur, at constant thermostat settings or when the thermostat was set down. This analysis of monitored data also provides insight into the extent that occupant comfort may be affected by undersizing air conditioners. The findings of this research indicate that cooling equipment historically has often but not always been oversized beyond industry-recommended levels. However, some occupants in homes with undersized, properly sized, and, in rare occasions, even oversized cooling equipment appear to suffer because the cooling equipment cannot always provide adequate cooling. Key findings are summarized.

Lucas, R.G.

1993-02-01T23:59:59.000Z

336

Residential Duct Design Guide  

Science Conference Proceedings (OSTI)

To provide comfortable levels of heating or cooling, a space-conditioning system must be properly sized and carefully installed. Movement of air and passages through which air is moved are vitally important for comfort. An inadequate system can cause uncomfortable drafts, may fail to move sufficient air to meet space heating and cooling loads, or may result in excessive energy costs. The best way to avoid problems is to prevent them in the design stage. This guide gives HVAC specialists basic information...

2000-11-02T23:59:59.000Z

337

Amp-hour counting control for PV hybrid power systems  

SciTech Connect

The performance of an amp-hour (Ah) counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based PV hybrid charge controller. This work included extensive field testing of the charge algorithm on flooded lead-antimony and valve regulated lead-acid (VRLA) batteries. The test results after one-year have demonstrated that PV charge utilization, battery charge control, and battery state of charge (SOC) has been significantly improved by providing maximum charge to the batteries while limiting battery overcharge to manufacturers specifications during variable solar resource and load periods.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-06-01T23:59:59.000Z

338

The use of linear systems analysis to identify the residential/utility relationship  

SciTech Connect

There is little doubt that there will be significant changes to future residential electric loads and these changes will have a significant impact on the efficiency with which a utility meets its overall load demand. Changes to the residential load will come about, in part, due to residential growth and increased market penetration of alternate energy sources such as solar space heating. In view of these inevitable changes, it is imperative to develop analytical tools to assess their impact. To date, effective analytical tools include computer simulations and load duration analysis. Computer simulation methods are generally very powerful but require substantial computer, personnel, and financial resources which may put this method of analysis out of the reach of many utilities and systems analysts. In addition, detailed computer simulations have a tendency to obscure insight into the problem. Load duration analysis does provide good insight into the problem, but oftentimes must resort to simulation results if correlations exist between utility load curves and the modified residential curve. One analytical method which has not been exploited to its fullest potential is the use of linear systems analysis to solve this type of problem.

Baer, C.A.; Winn, C.B.

1983-06-01T23:59:59.000Z

339

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

340

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

Note: This page contains sample records for the topic "residential hourly load" 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

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

342

An Evaluation of the HVAC Load Potential for Providing Load Balancing Service  

Science Conference Proceedings (OSTI)

This paper investigates the potential of providing aggregated intra-hour load balancing services using heating, ventilating, and air-conditioning (HVAC) systems. A direct-load control algorithm is presented. A temperature-priority-list method is used to dispatch the HVAC loads optimally to maintain consumer-desired indoor temperatures and load diversity. Realistic intra-hour load balancing signals were used to evaluate the operational characteristics of the HVAC load under different outdoor temperature profiles and different indoor temperature settings. The number of HVAC units needed is also investigated. Modeling results suggest that the number of HVACs needed to provide a {+-}1-MW load balancing service 24 hours a day varies significantly with baseline settings, high and low temperature settings, and the outdoor temperatures. The results demonstrate that the intra-hour load balancing service provided by HVAC loads meet the performance requirements and can become a major source of revenue for load-serving entities where the smart grid infrastructure enables direct load control over the HAVC loads.

Lu, Ning

2012-09-30T23:59:59.000Z

343

Residential Requirements of the 2009 IECC | Building Energy Codes Program  

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

09 IECC 09 IECC This training includes an overview of the residential requirements of the 2009 International Energy Conservation Code. Estimated Length: 1 hour, 9 minutes Presenters: Todd Taylor, Pacific Northwest National Laboratory Original Webcast Date: Tuesday, June 16, 2009 - 13:00 CEUs Offered: 1.0 AIA/CES LU (HSW); .10 CEUs towards ICC renewal certification. Course Type: Video Downloads: Video Transcript Presentation Slides Video Watch on YouTube Visit the BECP Online Training Center for instructions on how to obtain a certificate of completion. Building Type: Residential Focus: Compliance Code Version: 2009 IECC Target Audience: Architect/Designer Builder Code Official Contractor Engineer Federal Official State Official Contacts Web Site Policies U.S. Department of Energy

344

Bradbury Science Museum announces winter opening hours  

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

Bradbury Science Museum winter hours Bradbury Science Museum winter hours Bradbury Science Museum announces winter opening hours Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). December 21, 2010 Bradbury Science Museum Bradbury Science Museum Contact Communications Office (505) 667-7000 Often called "a window to the Laboratory," the museum annually attracts thousands of visitors from all over the world. LOS ALAMOS, New Mexico, December 21, 2010-Los Alamos National Laboratory's Bradbury Science Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). On all other days, the museum will observe regular opening hours: from 10 a.m. to 5 p.m. Tuesdays to Saturdays, and from 1 to 5 p.m. Sundays and Mondays. Often called "a window to the Laboratory," the museum annually attracts

345

Load Control  

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

Visualization and Controls Peer Review Visualization and Controls Peer Review Load Control for System Reliability and Measurement-Based Stability Assessment Dan Trudnowski, PhD, PE Montana Tech Butte, MT 59701 dtrudnowski@mtech.edu 406-496-4681 October 2006 2 Presentation Outline * Introduction - Goals, Enabling technologies, Overview * Load Control - Activities, Status * Stability Assessment - Activities, Status * Wrap up - Related activities, Staff 3 Goals * Research and develop technologies to improve T&D reliability * Technologies - Real-time load control methodologies - Measurement-based stability-assessment 4 Enabling Technologies * Load control enabled by GridWise technology (e.g. PNNL's GridFriendly appliance) * Real-time stability assessment enabled by Phasor Measurement (PMU) technology 5 Project Overview * Time line: April 18, 2006 thru April 17, 2008

346

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

347

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)

348

Load Profiling and Settlement for Retail Markets Methods Assessment Study  

Science Conference Proceedings (OSTI)

Retail electric competition requires estimation of hourly loads for each retail supplier. Load profiling is the means by which loads for customers who do not have hourly metering are accounted for. This report presents an assessment of alternative load profiling and settlement methods for retail electric markets and provides a framework for evaluating costs and benefits of potential improvements to profiling and settlement systems. This report is available only to funders of Program 101A or 101.001. Fund...

1999-06-01T23:59:59.000Z

349

An Experimental Study of the Performance of PCM-Enhanced Cellulose Insulation Used in Residential Building Walls Exposed to Full Weather Conditions  

E-Print Network (OSTI)

Air conditioning energy consumption in summer represents a major concern in many areas with hot and humid climates. When incorporated into the walls of light-weight residential buildings, phase change materials (PCMs) can increase the effective thermal mass of the walls and shift part of the space cooling loads to off-peak hours. The thermal properties of pure phase change materials (PCMs) and those of the mixtures of PCMs with cellulose insulation were studied via differential scanning calorimeter (DSC) tests and mass change tests. To directly prove the concept that PCM-enhanced insulation can reduce the peak heat flux across walls as well as its potential to shift part of the space cooling loads to a later time of the day, the performance of PCM-enhanced cellulose insulation was studied using two small-scale testing houses exposed to full weather conditions during the summer seasons. The testing houses were air conditioned and independently metered. Both houses had identical thermal responses prior to any retrofits. Before the tests, the PCM enhanced insulation was blown into the wall cavities in one test house while plain cellulose insulation was installed in the other house for comparison purposes. Hourly heat fluxes and daily heat flow data for four walls are presented. Based on the results, important recommendations are provided for the optimal use of PCMs in insulation systems.

Fang, Y.; Medina, M.; Evers, A.

2008-12-01T23:59:59.000Z

350

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...

351

May 1999 LBNL -42975 ASHRAE'S RESIDENTIAL VENTILATION  

E-Print Network (OSTI)

May 1999 LBNL - 42975 ASHRAE'S RESIDENTIAL VENTILATION STANDARD: EXEGESIS OF PROPOSED STANDARD 62 Berkeley National Laboratory Berkeley, CA 94720 April 1999 In January 1999 ASHRAE's Standard Project, approved ASHRAE's first complete standard on residential ventilation for public review

352

State Residential Energy Consumption Shares 1996  

Gasoline and Diesel Fuel Update (EIA)

Residential customers in the Northeast are more heavily dependent on heating oil than are residential consumers in the rest of the country. Rhode Island is no exception. In 1996,...

353

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...

354

Learning to be energy-wise: discriminative methods for load disaggregation  

Science Conference Proceedings (OSTI)

In this paper we describe an ongoing project which develops an automated residential Demand Response (DR) system that attempts to manage residential loads in accordance with DR signals. In this early stage of the project, we propose an approach for identifying ... Keywords: context-awareness, data mining, energy management, non-intrusive, ubiquitous computing

Dwi Rahayu; Balakrishnan Narayanaswamy; Shonali Krishnaswamy; Cyril Labbé; Deva P. Seetharam

2012-05-01T23:59:59.000Z

355

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

the predominant residential electricity rate structure. Itresidential electricity customers, over 90%, are on the standard domestic residential (DR) rate,

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

356

Energy Efficiency Standards for Residential and Commercial Equipment...  

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

Standards for Residential and Commercial Equipment: Additional Opportunities Title Energy Efficiency Standards for Residential and Commercial Equipment: Additional...

357

Residential Energy Efficiency Rebate (Offered by Several Cooperative...  

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

Energy Efficiency Rebate (Offered by Several Cooperative Utilities) Residential Energy Efficiency Rebate (Offered by Several Cooperative Utilities) Eligibility Residential Savings...

358

Central Hudson Gas and Electric (Electric) - Residential Energy...  

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

- Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization...

359

End-Use Load Composition Estimation Using Smart Meter Data  

Science Conference Proceedings (OSTI)

The goal of this research project is to enhance methodologies used to compute the fraction of load components (that is, motor; constant impedance, constant current, and constant power (ZIP); and electronic) needed for power system simulations that are attributable to each load class (that is, residential, commercial, industrial, and agricultural) by using smart meter (advanced metering infrastructure [AMI]) data. The load component percentages obtained should be appropriate for an overall component-based...

2010-12-31T23:59:59.000Z

360

Residential implementation of critical-peak pricing ofelectricity  

SciTech Connect

This paper investigates how critical-peak pricing (CPP)affects households with different usage and income levels, with the goalof informing policy makers who are considering the implementation of CPPtariffs in the residential sector. Using a subset of data from theCalifornia Statewide Pricing Pilot of 2003-2004, average load changeduring summer events, annual percent bill change, and post-experimentsatisfaction ratings are calculated across six customer segments,categorized by historical usage and income levels. Findings show thathigh-use customers respond significantly more in kW reduction than dolow-use customers, while low-use customers save significantly more inpercentage reduction of annual electricity bills than do high-usecustomers results that challenge the strategy of targeting only high-usecustomers for CPP tariffs. Across income levels, average load and billchanges were statistically indistinguishable, as were satisfaction ratesresults that are compatible with a strategy of full-scale implementationof CPP rates in the residential sector. Finally, the high-use customersearning less than $50,000 annually were the most likely of the groups tosee bill increases about 5 percent saw bill increases of 10 percent ormore suggesting that any residential CPP implementation might considertargeting this customer group for increased energy efficiencyefforts.

Herter, Karen

2006-06-29T23:59:59.000Z

Note: This page contains sample records for the topic "residential hourly load" 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

Burlington Electric Department - Residential Energy Efficiency...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Clothes Washers, Lighting, Water Heaters, LED Lighting, Tankless Water Heaters Active Incentive Yes Implementing Sector Utility...

362

Residential Energy Consumption Survey Data Tables  

U.S. Energy Information Administration (EIA)

Below are historical data tables from the Residential Energy Consumption Survey (RECS). These tables cover the total number of households ...

363

Evaluation of evolving residential electricity tariffs  

E-Print Network (OSTI)

Residential customers in California’s Pacific Gas and Electric (PG&E) territory have seen several electricity rate

Lai, Judy

2011-01-01T23:59:59.000Z

364

Golden Valley Electric Association - Residential Energy Efficiency...  

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

Rebate Program for Builders Golden Valley Electric Association - Residential Energy Efficiency Rebate Program for Builders < Back Eligibility Construction Savings Category...

365

Lassen Municipal Utility District - Residential Energy Efficiency...  

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

Energy Efficiency Rebate Program Eligibility Residential Savings For Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps...

366

South Alabama Electric Cooperative - Residential Energy Efficiency...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Building Insulation, Doors, Heat pumps, Windows, Geothermal Heat Pumps Active Incentive Yes Implementing Sector Utility Energy...

367

Orange and Rockland Utilities (Electric) - Residential Appliance...  

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

Recycling Program < Back Eligibility Residential Commercial Savings Category Appliances & Electronics Construction Commercial Heating & Cooling Program Info Funding Source...

368

Non-Intrusive Load Monitoring (NILM)Technologies for End-Use Load Disaggregation: Laboratory Evaluation I  

Science Conference Proceedings (OSTI)

This report presents the results of a laboratory evaluation to assess the cost versus accuracy performance of residential non-intrusive load monitoring (NILM) technology. NILM is an evolving technology that can be deployed for utility and customer applications, such as end-use load disaggregation, energy audits, real-time customer information and appliance or load diagnostics. Commercial NILM products for utility and customer applications continue to emerge, although most products available today ...

2013-05-22T23:59:59.000Z

369

Residential energy usage comparison project: An overview  

SciTech Connect

This report provides an overveiw of the residential energy usage comparison project, an integrated load and market research project sponsored by EPRI and the Southern California Edison Company. Traditional studies of the relative energy consumption of electric and gas household appliances have relied on laboratory analyses and computer simulations. This project was designed to study the appliance energy consumption patterns of actual households. Ninety-two households in Orange County, California, southeast of Los Angeles, served as the study sample. Half of the households received new electric space-conditioning, water-heating, cooking, and clothes-drying equipment; the other half received gas equipment. The electric space-conditioning and water-heating appliances were heat pump technologies. All of the appliances were metered to collect load-shape and energy consumption data. The households were also surveyed periodically to obtain information on their energy needs and their acceptance of the appliances. The metered energy consumption data provide an important benchmark for comparing the energy consumption and costs of alternative end-use technologies. The customer research results provide new insights into customer preferences for fuel and appliance types. 15 figs., 3 tabs.

Smith, B.A.; Uhlaner, R.T.; Cason, T.N. (Quantum Consulting, Inc., Berkeley, CA (USA))

1990-10-01T23:59:59.000Z

370

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

371

Residential Building Stockg Assessment (RBSA)for  

E-Print Network (OSTI)

9/4/2013 1 Residential Building Stockg Assessment (RBSA)for Multi-Family Housing Tom Eckman Objectives Characterize Residential Sector Building Stock ­ Single Family (Four-plex and below) l if il ( i Pacific Northwest Residential Energy Survey (PNWRES92)Survey (PNWRES92) NEEA Survey of Baseline

372

G&T adds versatile load management system  

SciTech Connect

Wolverine`s load management system was designed in response to the need to reduce peak demand. The Energy Management System (EMS) prepares short term (seven day) load forecasts, based on a daily peak demand forecst, augmented by a similar day profile based on weather conditions. The software combines the similar day profile with the daily peak demand forecast to yield an hourly load forecast for an entire week. The software uses the accepted load forecast case in many application functions, including interchange scheduling, unit commitment, and transaction evaluation. In real time, the computer updates the accepted forecast hourly, based in actual changes in the weather and load. The load management program executes hourly. The program uses impact curves to calculate a load management strategy that reduces the load forecast below a desired load threshold.

Nickel, J.R.; Baker, E.D.; Holt, J.W.; Chan, M.L.

1995-04-01T23:59:59.000Z

373

Results of the Bonneville Power Administration weatherization and tightening projects at the Midway substation residential community  

Science Conference Proceedings (OSTI)

As part of a regional conservation program, the Bonneville Power Administration retrofitted 18 houses at its Midway substation in central Washington and monitored the results for a three year period. The 18 houses were divided into three groups, or cells. During the first year of the project, energy consumption was monitored but no changes were made to the houses. Prior to the second year of the project, Cell 2 received attic and crawlspace insulation, foundation sill caulking, and increased attic ventilation. Cell 3 received these retrofits plus storm windows and doors, and Cell 1 served as the control group. Before the beginning of the project's third year, each house in Cell 1 received 22 hours of infiltration reduction weatherization or house tightening. Each house in Cell 3 received 10 hours of this same type of weatherization. Cell 2 served as the control group for the house doctoring phase of the project. Energy consumption and weather data were monitored for the entire three year period. Before and after each set of retrofits, leakage area measurements were made using blower door fan pressurization, thereby allowing calculation of heating season infiltration rates. An energy use model correlating energy consumption with outside temperature was developed in order to determine improvements to the thermal conductance of the building envelope as a result of the retrofits. Energy savings were calculated based on the results of the energy use model and, as a check on these findings, the Computerized Instrumented Residential Analysis (CIRA) load calculation program developed at Lawrence Berkeley Laboratory provided a theoretical estimate of the savings resulting from the retrofits.

Dickinson, J.B.; Grimsrud, D.T.; Krinkel, D.L.; Lipschutz, R.D.

1982-02-01T23:59:59.000Z

374

LOADING DEVICE  

DOE Patents (OSTI)

A device is presented for loading or charging bodies of fissionable material into a reactor. This device consists of a car, mounted on tracks, into which the fissionable materials may be placed at a remote area, transported to the reactor, and inserted without danger to the operating personnel. The car has mounted on it a heavily shielded magazine for holding a number of the radioactive bodies. The magazine is of a U-shaped configuration and is inclined to the horizontal plane, with a cap covering the elevated open end, and a remotely operated plunger at the lower, closed end. After the fissionable bodies are loaded in the magazine and transported to the reactor, the plunger inserts the body at the lower end of the magazine into the reactor, then is withdrawn, thereby allowing gravity to roll the remaining bodies into position for successive loading in a similar manner.

Ohlinger, L.A.

1958-10-01T23:59:59.000Z

375

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.

376

Residential Transient Magnetic Field Research  

Science Conference Proceedings (OSTI)

Residential populations are exposed, in some measure, to transient magnetic fields. Such fields result from virtually all electric and electronic switching operations that may occur within the residence or external to the residence. This report presents the first phase of a study to better characterize these fields and, ultimately, describe their relationship to utility wiring configurations.

1994-03-01T23:59:59.000Z

377

Gas Technology Institute (Partnership for Advanced Residential Retrofit) |  

Open Energy Info (EERE)

Technology Institute (Partnership for Advanced Residential Retrofit) Technology Institute (Partnership for Advanced Residential Retrofit) Jump to: navigation, search Name Gas Technology Institute Place Des Plaines, IL Website http://www.gastechnology.org/ Coordinates 42.0333623°, -87.8833991° 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":42.0333623,"lon":-87.8833991,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

378

Transmission and Distribution Benefits of Direct Load Control: Seattle City Light and Snohomish Public Utility District Pilot Project Evaluations  

Science Conference Proceedings (OSTI)

Two residential direct load control programs in the Puget Sound region have reduced peak loads at both the system as well as the local transmission and distribution levels. This report presents program load impact results estimated using metered and disaggregated end-use load data. Included is a detailed description of participants' attitudes toward the programs and their experiences with program implementation.

1994-05-21T23:59:59.000Z

379

Abstract--This paper analyzes a distribution system load time series through autocorrelation coefficient, power spectral density,  

E-Print Network (OSTI)

models [7], [8]. The load model developed in [7] provides different 24-hour load profiles for different seasons. The 24-hour load profile is obtained by a weighted sum of peak loads from different types1 Abstract--This paper analyzes a distribution system load time series through autocorrelation

Bak-Jensen, Birgitte

380

Real-time deferrable load control: handling the uncertainties of renewable generation  

Science Conference Proceedings (OSTI)

Real-time demand response is essential for handling the uncertainties of renewable generation. Traditionally, demand response has been focused on large industrial and commercial loads, however it is expected that a large number of small residential loads ... Keywords: deferrable load control, demand response, model predictive control, smart grid

Lingwen Gan, Adam Wierman, Ufuk Topcu, Niangjun Chen, Steven H. Low

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "residential hourly load" 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

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

382

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

383

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

384

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

385

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

386

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

387

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

388

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

389

A bottom-up engineering estimate of the aggregate heating andcooling loads of the entire U.S. building stock  

SciTech Connect

A recently completed project for the U.S. Department of Energy's (DOE) Office of Building Equipment combined DOE-2 results for a large set of prototypical commercial and residential buildings with data from the Energy Information Administration (EIA) residential and commercial energy consumption surveys (RECS, CBECS) to estimate the total heating and cooling loads in U.S. buildings attributable to different shell components such as windows, roofs, walls, etc., internal processes, and space-conditioning systems. This information is useful for estimating the national conservation potentials for DOE's research and market transformation activities in building energy efficiency. The prototypical building descriptions and DOE-2 input files were developed from 1986 to 1992 to provide benchmark hourly building loads for the Gas Research Institute (GRI) and include 112 single-family, 66 multi-family, and 481 commercial building prototypes. The DOE study consisted of two distinct tasks : (1) perform DOE-2 simulations for the prototypical buildings and develop methods to extract the heating and cooling loads attributable to the different building components; and (2) estimate the number of buildings or floor area represented by each prototypical building based on EIA survey information. These building stock data were then multiplied by the simulated component loads to derive aggregated totals by region, vintage, and building type. The heating and cooling energy consumption of the national building stock estimated by this bottom-up engineering approach was found to agree reasonably well with estimates from other sources, although significant differences were found for certain end-uses. The main added value from this study, however, is the insight it provides about the contributing factors behind this energy consumption, and what energy savings can be expected from efficiency improvements for different building components by region, vintage, and building type.

Huang, Yu Joe; Brodrick, Jim

2000-08-01T23:59:59.000Z

390

Baseline data for the residential sector and development of a residential forecasting database  

SciTech Connect

This report describes the Lawrence Berkeley Laboratory (LBL) residential forecasting database. It provides a description of the methodology used to develop the database and describes the data used for heating and cooling end-uses as well as for typical household appliances. This report provides 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, 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. Model inputs and outputs, as well as all other information in the database, are fully documented with the source and an explanation of how they were derived.

Hanford, J.W.; Koomey, J.G.; Stewart, L.E.; Lecar, M.E.; Brown, R.E.; Johnson, F.X.; Hwang, R.J.; Price, L.K.

1994-05-01T23:59:59.000Z

391

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.

392

hourly solar radiation | OpenEI  

Open Energy Info (EERE)

solar radiation solar radiation Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for Source Renewable Energy Research Centre Date Released October 22nd, 2003 (11 years ago) Date Updated Unknown Keywords Bangladesh documentation hourly solar radiation SWERA

393

Life of a Six-Hour Hurricane  

Science Conference Proceedings (OSTI)

Hurricane Claudette developed from a weak vortex in 6 h as deep convection shifted from downshear into the vortex center, despite ambient vertical wind shear exceeding 10 m s?1. Six hours later it weakened to a tropical storm, and 12 h after the ...

Kay L. Shelton; John Molinari

2009-01-01T23:59:59.000Z

394

NERSC Edison Phase I Hours Used Report  

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

Edison Phase I Hours Used Edison Phase I Hours Used Edison Phase I Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 06/23/2013 0.226 88.6 06/22/2013 0.239 93.9 06/21/2013 0.248 97.1 06/20/2013 0.240 94.0 06/19/2013 0.233 91.3 06/18/2013 0.245 96.0 06/17/2013 0.251 98.4 06/16/2013 0.243 95.3 06/15/2013 0.245 95.9 06/14/2013 0.246 96.5 06/13/2013 0.240 94.1 06/12/2013 0.128 50.4 06/11/2013 0.215 84.5 06/10/2013 0.225 88.4 06/09/2013 0.228 89.6 06/08/2013 0.225 88.3 06/07/2013 0.121 47.5 06/06/2013 0.223 87.4 06/05/2013 0.250 98.0 06/04/2013 0.234 91.6 06/03/2013 0.218 85.5 06/02/2013 0.246 96.4 06/01/2013 0.230 90.0 05/31/2013 0.215 84.5 05/30/2013 0.212 83.1 05/29/2013 0.223 87.3 05/28/2013 0.237 93.0 05/27/2013 0.226 88.5 05/26/2013 0.229 89.9

395

Day-Ahead/Hour-Ahead Forecasting for Demand Trading: A Guidebook  

Science Conference Proceedings (OSTI)

Demand trading can be an effective hedge against wholesale power price spikes during times of constraint. However, it also can be a high-risk venture. Profitability depends on reliable demand forecasting. Short-term load forecasting (STLF) can minimize the risks of day-ahead purchasing by providing better predictions at the system level. Additionally, STLF can reduce hour-ahead spot market risks and directly support demand trading by providing more accurate assessments of incremental load reductions from...

2001-12-20T23:59:59.000Z

396

LOADED WAVEGUIDES  

DOE Patents (OSTI)

>Loaded waveguides are described for the propagation of electromagnetic waves with reduced phase velocities. A rectangular waveguide is dimensioned so as to cut-off the simple H/sub 01/ mode at the operating frequency. The waveguide is capacitance loaded, so as to reduce the phase velocity of the transmitted wave, by connecting an electrical conductor between directly opposite points in the major median plane on the narrower pair of waveguide walls. This conductor may take a corrugated shape or be an aperature member, the important factor being that the electrical length of the conductor is greater than one-half wavelength at the operating frequency. Prepared for the Second U.N. International ConferThe importance of nuclear standards is duscussed. A brief review of the international callaboration in this field is given. The proposal is made to let the International Organization for Standardization (ISO) coordinate the efforts from other groups. (W.D.M.)

Mullett, L.B.; Loach, B.G.; Adams, G.L.

1958-06-24T23:59:59.000Z

397

Incremental cooling load determination for passive direct gain heating systems  

DOE Green Energy (OSTI)

This paper examines the applicability of the National Association of Home Builders (NAHB) full load compressor hour method for predicting the cooling load increase in a residence, attributable to direct gain passive heating systems. The NAHB method predictions are compared with the results of 200 hour-by-hour simulations using BLAST and the two methods show reasonable agreement. The degree of agreement and the limitations of the NAHB method are discussed.

Sullivan, P.W.; Mahone, D.; Fuller, W.; Gruber, J.; Kammerud, R.; Place, W.; Andersson, B.

1981-05-01T23:59:59.000Z

398

Design, development and testing of a solar-powered multi-family residential-size prototype turbocompressor heat pump  

DOE Green Energy (OSTI)

An experimental program was conducted to further define, improve and demonstrate the performance characteristics and operational features of an existing 18-ton solar-powered prototype heat pump. The prototype heat pump is nominally sized for multi-family residential applications and provides both space heating and cooling. It incorporates a turbocompressor specially designed to operate at peak temperatures consistent with medium concentration collectors. The major efforts in this program phase included modification and improvement of the instrumentation sensors, the laboratory simulation equipment and selected heat pump components. After implementing these modifications, performance testing was conducted for a total operating time of approximately 250 hours. Experimental test results compared favorably with performance data calculated using the UTRC computer prediction program for the same boundary conditions. A series of tests was conducted continuously over a 12-h period to simulate operation (in the cooling mode) of the prototype heat pump under conditions typical of an actual installation. The test demonstrated that the heat pump could match the cooling load profile of a multi-family residential building. During the system performance testing, sufficient data were taken to identify the performance of each of the major components (e.g. turbine, compressor, heat exchangers, R11 pump). Component performance is compared with that calculated using the UTRC computer predict program and with data supplied by their manufacturers. The performance capabilities of the prototype heat pump system have been documented and recommendations are made for further design improvements which could be included in a MOD-2 configuration. The MOD-2 configuration would incorporate features that would improve system performance, reduce capital cost and most importantly improve system reliability.

Not Available

1982-10-01T23:59:59.000Z

399

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

400

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

Note: This page contains sample records for the topic "residential hourly load" 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

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

402

Load-shape modeling in southeastern utility systems  

SciTech Connect

Load models are tools which have a wide range of application in the electric-utility industry. Some uses include monitoring load-management policies and helping with on-line commitment problems. The output from a load model can be placed in a suitable software environment where daily load curves are computed and displayed. Also, load models can be extended to perform forecasting functions. A weather sensitive load model that takes into account both weekdays and weekends on an hourly basis has been developed and applied to load shape modeling and short term forecasting on three southeastern electric utilities. A software package associated with the load modeling theory was developed and tested. This load-modeling program computes the daily load curve in terms of identifiable components. The program uses historical hourly load data to compute coefficients related to load components including base, growth, seasonal and weather. These coefficients can be used in a mathematical model to compute an estimate of the daily load curve with load values for each hour of the day. The load-modeling procedure described employs a linear least squares method for computing coefficients in the mathematical model.

Lebby, G.L.

1985-01-01T23:59:59.000Z

403

Evaluation of evolving residential electricity tariffs  

Science Conference Proceedings (OSTI)

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

404

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

405

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

406

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

407

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

408

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

409

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

410

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

411

Orlando Utilities Commission - Residential Solar Water Heater...  

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

Program (Florida) < Back Eligibility Residential Savings Category Heating & Cooling Solar Water Heating Maximum Rebate 1,000 Program Info State Florida Program Type Utility...

412

Business Plan : Residential Solid Waste Collection.  

E-Print Network (OSTI)

??Residential solid waste means all the solid wastes produced in household level, which includes bio-waste, metal, mixed wastes, organic and inorganic waste. The inability of… (more)

Mazengo, Dorice

2013-01-01T23:59:59.000Z

413

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...

414

Florida Public Utilities (Gas) - Residential Energy Efficiency...  

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

Utilities offers the Energy for Life Conservation Program to its residential natural gas customers to save energy in their homes. Rebates are available for existing residences...

415

Building Technologies Office: Building America Residential Energy...  

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

research results to the market. Learn more about the research planning process. Read the Residential Energy Efficiency Research Planning Meeting Summary Report and view the...

416

Compliance Verification Paths for Residential and Commercial...  

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

Verification Paths for Residential and Commercial Energy Codes Conformity assessment is a term used to describe the processes followed to demonstrate that a product, service,...

417

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

3 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...

418

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...

419

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (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...

420

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

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

Note: This page contains sample records for the topic "residential hourly load" 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

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (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...

422

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (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...

423

Energy Efficiency Report: Chapter 3 Figures (Residential)  

U.S. Energy Information Administration (EIA)

Figure 3.1. Total Site Residential Energy Consumption and Personal Consumption Expenditures Indices, 1980 to 1993. Notes: Personal consumption expenditures used ...

424

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (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...

425

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...

426

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...

427

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (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...

428

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...

429

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

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

430

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...

431

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...

432

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...

433

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (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...

434

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (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...

435

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (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...

436

Diagnostic Measurement and Performance Feedback for Residential...  

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

Performance Feedback for Residential Space Conditioning Equipment Building America Expert Meeting 26-April-2010 Held at NIST, Gaithersburg, MD Diagnostic Measurement and...

437

EIA'S Natural Gas Residential Programs by State  

U.S. Energy Information Administration (EIA)

Status of Natural Gas Residential Choice Programs by State as of December 2003 (Click on a state or its abbreviation for more information about that state.

438

Green Residential Building Program | Department of Energy  

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

on a wait list, and will be notified if additional funding becomes available.''''' The Green Residential Building Program, administered by the New York State Energy Research and...

439

Southeastern Indiana REMC - Residential Energy Efficiency Rebate...  

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

REMC Southeastern Indiana REMC (SIREMC) offers residential customers various heating and cooling rebates to improve the energy efficiency of participating homes. Rebates are...

440

Building Technologies Office: Residential Energy Efficiency Stakeholde...  

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

Stakeholder's Meeting - Spring 2011 The U.S. Department of Energy (DOE) Building America program held the Residential Energy Efficiency Stakeholder's Meeting in Atlanta, Georgia,...

Note: This page contains sample records for the topic "residential hourly load" 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

Building Technologies Office: Residential Buildings Energy Efficiency...  

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

Buildings Energy Efficiency Meeting The U.S. Department of Energy (DOE) Building America program held the Residential Buildings Energy Efficiency Meeting in Denver, Colorado, on...

442

Building Technologies Office: Residential Energy Efficiency Technical...  

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

Technical Update Meeting - Summer 2011 The U.S. Department of Energy (DOE) Building America program held the Residential Energy Efficiency Technical Update Meeting in Denver,...

443

Baltimore Gas & Electric Company (Electric) - Residential Energy...  

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

freezers, CFLs, HVAC systems, and Building Insulation. The Home Performance with Energy Star Incentive Program also provides residential incentives including envelope and...

444

Reading Municipal Light Department - Residential Renewable Energy...  

Open Energy Info (EERE)

Summary Reading Municipal Light Department (RMLD) offers rebates of 1.00watt for solar photovoltaic and small wind installations for residential customers. A 0.25watt...

445

RESIDENTIAL THERMOSTATS: COMFORT CONTROLS IN CALIFORNIA HOMES  

E-Print Network (OSTI)

for Residential Winter and Summer Air Conditioning.Air Conditioning Contractors of America. Washington, DC.refrigerating and Air-conditioning Engineers, Atlanta, GA.

Meier, Alan K.

2008-01-01T23:59:59.000Z

446

U.S. Residential Housing Primary  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities >Table 7c Glossary U.S. Residential Housing Primary Page Last Revised: July 2009

447

Black Hills Energy (Electric) - Residential Energy Efficiency...  

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

unit Freezer: 30unit Dishwasher: 30unit RefrigeratorFreezer Recycling: 50unit CFLLED Bulbs: In-store rebates Black Hills Energy (BHE) offers rebates for residential...

448

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...

449

Clarksville Department of Electricity - Residential Heat Pump...  

Open Energy Info (EERE)

Share this page on Facebook icon Twitter icon Clarksville Department of Electricity - Residential Heat Pump Loan Program (Tennessee) This is the approved revision of...

450

Better Buildings Residential Program Solution Center Demonstration  

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

* Tour: Navigation Options * Tour: Examples * Next Steps * Questions & Feedback 2 eere.energy.gov Overview 3 eere.energy.gov Purpose: Support Residential Energy Efficiency...

451

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...

452

Sustainable Energy Utility - Residential Energy Efficiency Program...  

Open Energy Info (EERE)

Utility - Residential Energy Efficiency Program (District of Columbia) No revision has been approved for this page. It is currently under review by our subject matter experts. Jump...

453

Residential Deep Energy Retrofits: Monitoring and Performance...  

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

Energy Retrofits are residential remodeling projects, which attempt to drastically reduce energy usage and environmental impact, as well as increase occupant comfort and improve...

454

Better Buildings Partners: Better Buildings Residential Network  

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

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...

455

Building Technologies Office: Residential Energy Efficiency Stakeholde...  

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

Webinars Building America Residential Research Better Buildings Alliance Solid-State Lighting Events DOE Challenge Home Zero Net-Energy-Ready Home Training September 23, 2013 EEBA...

456

Evaluation of High Performance Residential Housing Technology.  

E-Print Network (OSTI)

??The energy consumption of residential buildings in Canada accounts for 17% of national energy use (Trudeau, 2005). Production homes represent a considerable portion of new… (more)

Grin, Aaron

2008-01-01T23:59:59.000Z

457

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

U.S. Energy Information Administration (EIA)

Heating and cooling no longer majority of U.S. home energy use. Source: U.S. Energy Information Administration, Residential Energy Consumption Survey.

458

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...

459

City Utilities of Springfield - Residential Energy Efficiency...  

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

available for programmable thermostats, insulation upgrades, whole home upgrades and HVAC equipment. The HVAC rebates are available for single- and multi-family residential...

460

Efficiency Maine Residential Lighting Program (Maine) | Open...  

Open Energy Info (EERE)

Share this page on Facebook icon Twitter icon Efficiency Maine Residential Lighting Program (Maine) This is the approved revision of this page, as well as being the most...

Note: This page contains sample records for the topic "residential hourly load" 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

Elk River Municipal Utilities - Residential Energy Efficiency...  

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

Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Water Heating Program Info State Minnesota Program Type...

462

North Arkansas Electric Cooperative, Inc - Residential Energy...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Doors, DuctAir sealing, Heat pumps, Windows Active Incentive Yes Implementing Sector Utility Energy Category Energy Efficiency...

463

Chelan County PUD - Residential Weatherization Rebate Program...  

Open Energy Info (EERE)

Residential Eligible Technologies Building Insulation, Doors, DuctAir sealing, Windows Active Incentive Yes Implementing Sector Utility Energy Category Energy Efficiency...

464

Clark Public Utilities - Residential Weatherization Loan Program...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Building Insulation, DuctAir sealing, Windows Active Incentive Yes Implementing Sector Utility Energy Category Energy Efficiency...

465

Evaluation of evolving residential electricity tariffs  

E-Print Network (OSTI)

was funded by the Office of Electricity Delivery and Energyevolving residential electricity tariffs Judy Lai, Nicholaswas funded by the Office of Electricity Delivery and Energy

Lai, Judy

2011-01-01T23:59:59.000Z

466

Building Technologies Office: Residential Energy Efficiency Stakeholde...  

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

to someone by E-mail Share Building Technologies Office: Residential Energy Efficiency Stakeholder's Meeting - Spring 2011 on Facebook Tweet about Building Technologies Office:...

467

Building Technologies Office: Residential Energy Efficiency Technical...  

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

to someone by E-mail Share Building Technologies Office: Residential Energy Efficiency Technical Update Meeting - Summer 2011 on Facebook Tweet about Building Technologies Office:...

468

Building Technologies Office: Residential Buildings Energy Efficiency...  

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

Energy Efficiency Meeting to someone by E-mail Share Building Technologies Office: Residential Buildings Energy Efficiency Meeting on Facebook Tweet about Building Technologies...

469

Empire District Electric - Residential Energy Efficiency Rebate...  

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

rebates to residential customers for energy audits, weatherization measures, central air conditioning systems, and energy efficient home appliances. Eligible air conditioning...

470

Kentucky Utilities Company - Residential Energy Efficiency Rebate...  

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

for residential customers to upgrade to energy efficiency home appliances and heat and air conditioning equipment. Rebates are offered for refrigerators and freezers, clothes...

471

First Energy Ohio- Residential Efficiency Rebates  

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

Ohio subsidiaries of FirstEnergy (Ohio Edison, The Illuminating Company, Toledo Edison) offer rebates for the installation of certain energy efficiency improvements for residential and small...

472

Residential Hot Water Distribution Systems: Roundtable Session  

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

David Springer, Davis Energy Group Bion D. Howard, Building Environmental Science & Technology ABSTRACT Residential building practice currently ignores the losses of energy...

473

Consumers Energy (Electric)- Residential Energy Efficiency Program  

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

Consumers Energy residential electric customers are eligible to apply for a variety of rebates on energy efficient equipment. Customers must install equipment in the Consumers Energy service area...

474

Clallam County PUD- Residential Efficiency Rebate Program  

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

Clallam County PUD offers a variety of rebates for residential customers for energy efficiency improvements. Eligible measures and incentives include window upgrades, insulation, air and duct...

475

Metering Secondary Water in Residential Irrigation Systems.  

E-Print Network (OSTI)

??The use of residential secondary or dual water systems for irrigation purposes is common in the western United States where water supplies are scarce. While… (more)

Richards, Gregory L.

2009-01-01T23:59:59.000Z

476

Performance Criteria for Residential Zero Energy Windows  

E-Print Network (OSTI)

LaFrance. 2006. “Zero Energy Windows. ” Proceedings of the2003. “Future Advanced Windows for Zero-Energy Homes. ”and cooling energy use of windows in residential buildings—

Arasteh, Dariush; Goudey, Howdy; Huang, Joe; Kohler, Christian; Mitchell, Robin

2006-01-01T23:59:59.000Z

477

Longmont Power & Communications - Residential and Commercial...  

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

& Electronics Maximum Rebate 50 per appliance. Residential: 1 clothes washer and 1 dishwasher per year Commercial: 3 clothes washers and 3 dishwashers per year Program...

478

Columbia Water & Light- Residential HVAC Rebate Program  

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

Columbia Water & Light (CWL) provides an HVAC incentive for residential customers that are replacing an older heating and cooling system. Customers should submit the mechanical permit from a...

479

Ameren Illinois (Gas) - Residential Energy Efficiency Rebates...  

Open Energy Info (EERE)

upgrades and improvements. Incentives are currently available to residential homeowners for natural gas boiler, furnaces, insulation, certain ENERGY STAR appliances, and...

480

Wright-Hennepin Cooperative Electric Association - Residential...  

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

Heat Pump Water Heater: 100-200 Ductless Heat Pump: 100 Wright-Hennepin Cooperative Electric Association provides financial incentives for its residential customers to...

Note: This page contains sample records for the topic "residential hourly load" 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

Residential Energy Consumption Survey (RECS) 2009 Technical ...  

U.S. Energy Information Administration (EIA)

Residential Energy Consumption Survey (RECS) Using the 2009 microdata file to compute estimates and standard errors (RSEs) February 2013 Independent Statistics & Analysis

482

RESIDENTIAL INTEGRATED VENTILATION ENERGY CONTROLLER - Energy ...  

A residential controller is described which is used to manage the mechanical ventilation systems of a home, installed to meet whole-house ventilation requirements, at ...

483

Citizens Electric Corporation - Residential Energy Efficiency...  

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

RefrigeratorFreezer Recycling: 35 Citizens Electric Corporation offers rebates and price reductions to its residential customers for purchasing and installing energy...

484

Unitil (Electric)- Residential Energy Efficiency Loan Program  

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

Unitil offers its New Hampshire residential customers a no interest loan program to encourage more energy efficient homes. The loan agreement specified monthly charges and repayment period for...

485

Solar Photovoltaic Financing: Residential Sector Deployment  

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

(a subsidiary of U.S. Bancorp), AFC First Financial Corporation, and Gemstone Lease Management, LLC, announced a residential solar lease program for homeowners who meet certain...

486

OTEC - Residential Energy Efficiency Rebate Program | Department...  

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

Trail Electric Cooperative (OTEC) assists residential members in reducing electric consumption by providing rebates for energy efficient equipment. Rebates are for appliances,...

487

Residential Energy Usage by Origin of Householder  

U.S. Energy Information Administration (EIA)

Home > Energy Users > Residential Home Page > Energy Usage by Origin of Householder. Consumption and Expenditures. NOTE: To View and/or Print PDF's ...

488

Orange and Rockland Utilities (Electric) - Residential Efficiency...  

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

Program (New York) < Back Eligibility Commercial Residential Savings Category Appliances & Electronics Program Info State New York Program Type Utility Rebate Program Rebate...

489

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...

490

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...

491

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...

492

Consumers Energy (Gas)- Residential Energy Efficiency Program  

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

Consumers Energy residential electric customers are eligible to apply for a variety of rebates on energy efficient equipment. Customers must install equipment in the Consumers Energy service area...

493

EIA'S Natural Gas Residential Programs by State  

U.S. Energy Information Administration (EIA)

This site provides an overview of the status of natural gas industry restructuring in each state, focusing on the residential customer class.

494

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production  

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

Hour-by-Hour Cost Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Genevieve Saur (PI), Chris Ainscough (Presenter), Kevin Harrison, Todd Ramsden National Renewable Energy Laboratory January 17 th , 2013 This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Acknowledgements * This work was made possible by support from the U.S. Department of Energy's Fuel Cell Technologies Office within the Office of Energy Efficiency and Renewable Energy (EERE). http://www.eere.energy.gov/topics/hydrogen_fuel_cells.html * NREL would like to thank our DOE Technology Development Managers for this project, Sara Dillich, Eric Miller, Erika Sutherland, and David Peterson. * NREL would also like to acknowledge the indirect

495

Energy management in residential and small commercial buildings. Annual report, fiscal year 1976  

DOE Green Energy (OSTI)

The goal of the present program is to develop the technical basis for efficient energy use in space heating of residential and small commercial buildings. Efficiency measurements performed on conventional residential oil-fired hot water heating equipment, including both steady state and cyclic (part load) efficiency determinations are described. A list of preliminary recommendations for retrofit actions to improve efficiency is provided. A summary of work carried out in the areas of thermal storage media, fenestration, and building thermal dynamics is also presented.

Batey, J.; Gazerro, V.; Salzano, F.J.; Berlad, A.L.

1976-07-01T23:59:59.000Z

496

Solar access of residential rooftops in four California cities  

DOE Green Energy (OSTI)

Shadows cast by trees and buildings can limit the solar access of rooftop solar-energy systems, including photovoltaic panels and thermal collectors. This study characterizes residential rooftop shading in Sacramento, San Jose, Los Angeles and San Diego, CA. Our analysis can be used to better estimate power production and/or thermal collection by rooftop solar-energy equipment. It can also be considered when designing programs to plant shade trees. High-resolution orthophotos and LiDAR (Light Detection And Ranging) measurements of surface height were used to create a digital elevation model of all trees and buildings in a well-treed 2.5-4 km{sup 2} residential neighborhood. On-hour shading of roofing planes (the flat elements of roofs) was computed geometrically from the digital elevation model. Values in future years were determined by repeating these calculations after simulating tree growth. Parcel boundaries were used to determine the extent to which roofing planes were shaded by trees and buildings in neighboring parcels. For the subset of S+SW+W-facing planes on which solar equipment is commonly installed for maximum solar access, absolute light loss in spring, summer and fall peaked about two to four hours after sunrise and about two to four hours before sunset. The fraction of annual insolation lost to shading increased from 0.07-0.08 in the year of surface-height measurement to 0.11-0.14 after 30 years of tree growth. Only about 10% of this loss results from shading by trees and buildings in neighboring parcels.

Levinson, Ronnen; Akbari, Hashem; Pomerantz, Melvin

2010-05-14T23:59:59.000Z

497

DOE's Office of Science Awards 95 Million Hours of Supercomputing...  

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

95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance...

498

DOE Awards Over a Billion Supercomputing Hours to Address Scientific...  

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

Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am...

499

The quality of the ELCAP (End-Use Load and Consumer Assessment Program) engineering data set: Background issues  

SciTech Connect

The Bonneville Power Administration (Bonneville) began the End-Use Load and Consumer Assessment Program (ELCAP) in 1983. Prior to beginning ELCAP, there was an abundance of information regarding total power consumption for residential structures in the Pacific Northwest, through billing records for example, and limited information regarding power consumption by various end uses (such as hot water, heating and cooling). This program, conducted for Bonneville by the Pacific Northwest Laboratory, involves collecting and analyzing hourly end-use data in commercial and residential buildings in the Pacific Northwest. The purpose of this document is to provide background information to analyses that may use ELCAP data. In general, the ELCAP data set is extremely high in quality, but analysts should be aware of potential problems that could exist with a data set of this size. This report describes the quality of the ELCAP data and emphasizes the guidelines for data review along with limitations and suggestions regarding engineering and characteristics data including missing data values, procedures for time-stamp assignments, and incomplete integration periods. 3 figs.

Crowder, R.S. III; Miller, N.E.

1990-06-01T23:59:59.000Z

500

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

J.E. 1986. The LBL Residential Energy Model. LawrenceInc. MEANS. 1992. Residential Cost Data: 11th Annual EditionInstitute. 1989. Residential End-Use Energy Consumption: A

Wenzel, T.P.

2010-01-01T23:59:59.000Z