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


1

Energy Consumption of Personal Computing Including Portable  

E-Print Network [OSTI]

Energy Consumption of Personal Computing Including Portable Communication Devices Pavel Somavat1 consumption, questions are being asked about the energy contribution of computing equipment. Al- though studies have documented the share of energy consumption by this type of equipment over the years, research

Namboodiri, Vinod

2

Accounting for the Energy Consumption of Personal Computing Including Portable Devices  

E-Print Network [OSTI]

Accounting for the Energy Consumption of Personal Computing Including Portable Devices Pavel.S.A vinod.namboodiri@wichita.edu ABSTRACT In light of the increased awareness of global energy consumption the share of energy consumption due to these equipment over the years, these have rarely characterized

Namboodiri, Vinod

3

Oil consumption, pollutant emission, oil proce volatility and economic activities in selected Asian Developing Economies.  

E-Print Network [OSTI]

??It is now well established in the literature that oil consumption, oil price shocks, and oil price volatility may impact the economic activities negatively. Studies… (more)

Rafiq, Shuddhasattwa

2009-01-01T23:59:59.000Z

4

Household activities through various lenses: crossing surveys, diaries and electric consumption  

E-Print Network [OSTI]

comparison between electricity consumption and behavioralU.S. residential electricity consumption” Energy Policy, 42(of the residential electricity consumption. ” Energy Policy,

Durand-Daubin, Mathieu

2013-01-01T23:59:59.000Z

5

Phenolic profile and effect of regular consumption of Brazilian red wines on in vivo antioxidant activity  

Science Journals Connector (OSTI)

Abstract In this study, Vitis vinifera L wines cv. Cabernet Franc, Merlot, Sangiovese and Syrah, 2006 and 2007 vintages, produced in São Joaquim, a new wine-producing region in southern Brazil, were evaluated. As phenolic compound content is one of the most important parameters in assessing wine quality and is possibly partially responsible for the beneficial health properties of wines, in this paper the levels of the main anthocyanins, flavonols, hydroxycinnamic acid and hydroxybenzoic acid (HPLC-DAD and HPLC-DAD–MS analysis) and the in vivo antioxidant activity in mice are reported. The antioxidant capacity of plasma was assessed through the reduction of ferric iron (FRAP). Lipid peroxidation (TBARS), carbonyl protein (CP), reduced glutathione (GSH) levels and the catalase (CAT), superoxide dismutase (SOD) and glutathione peroxidase (GPx) activity were determined in livers of the test animals. The results for the phenolic compounds content of the wine samples were considered appropriate for quality red wines, and the wine consumption promoted a significant increase in FRAP and decreases in the TBARS and CP levels and in the CAT, SOD and \\{GPx\\} activity. Moreover, the phenolic content of the wines was positively correlated with the in vivo antioxidant capacity promoted by regular wine consumption.

E.F. Gris; F. Mattivi; E.A. Ferreira; U. Vrhovsek; D.W. Filho; R.C. Pedrosa; M.T. Bordignon-Luiz

2013-01-01T23:59:59.000Z

6

E-Print Network 3.0 - activities including modelling Sample Search...  

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

models. We analyse five different developments, viz., Coordination Theory, Activity... Theory, Task Manager model, ActionInteraction Theory and Object-Oriented Activity Support...

7

habitual speech of stutterers that included bilateral motor system activation, overalloveractivation inthe motor system and reduced left  

E-Print Network [OSTI]

#12;habitual speech of stutterers that included bilateral motor system activation, and Braun (2003) compared brain activations of both nonstuttering and stutter- ing individuals during and after fluency shaping therapy for stuttering. Such treatment in adults essentially teaches a modified

8

Energy Consumption  

Science Journals Connector (OSTI)

We investigated the relationship between electrical power consumption per capita and GDP per capita in 130 countries using the data reported by World Bank. We found that an electrical power consumption per capita...

Aki-Hiro Sato

2014-01-01T23:59:59.000Z

9

Diffractive laser beam homogenizer including a photo-active material and method of fabricating the same  

SciTech Connect (OSTI)

A method of manufacturing a plurality of diffractive optical elements includes providing a partially transmissive slide, providing a first piece of PTR glass, and directing first UV radiation through the partially transmissive slide to impinge on the first piece of PTR glass. The method also includes exposing predetermined portions of the first piece of PTR glass to the first UV radiation and thermally treating the exposed first piece of PTR glass. The method further includes providing a second piece of PTR glass and directing second UV radiation through the thermally treated first piece of PTR glass to impinge on the second piece of PTR glass. The method additionally includes exposing predetermined portions of the second piece of PTR glass to the second UV radiation, thermally treating the exposed second piece of PTR glass, and repeating providing and processing of the second piece of PTR glass using additional pieces of PTR glass.

Bayramian, Andy J; Ebbers, Christopher A; Chen, Diana C

2014-05-20T23:59:59.000Z

10

Survey Consumption  

Gasoline and Diesel Fuel Update (EIA)

fsidentoi fsidentoi Survey Consumption and 'Expenditures, April 1981 March 1982 Energy Information Administration Wasningtoa D '" N """"*"""*"Nlwr. . *'.;***** -. Mik>. I This publication is available from ihe your COr : 20585 Residential Energy Consumption Survey: Consum ption and Expendi tures, April 1981 Through March 1982 Part 2: Regional Data Prepared by: Bruce Egan This report was prepared by the Energy Information Administra tion, the independent statistical

11

Nuclear Rocket Test Facility Decommissioning Including Controlled Explosive Demolition of a Neutron-Activated Shield Wall  

SciTech Connect (OSTI)

Located in Area 25 of the Nevada Test Site, the Test Cell A Facility was used in the 1960s for the testing of nuclear rocket engines, as part of the Nuclear Rocket Development Program. The facility was decontaminated and decommissioned (D&D) in 2005 using the Streamlined Approach For Environmental Restoration (SAFER) process, under the Federal Facilities Agreement and Consent Order (FFACO). Utilities and process piping were verified void of contents, hazardous materials were removed, concrete with removable contamination decontaminated, large sections mechanically demolished, and the remaining five-foot, five-inch thick radiologically-activated reinforced concrete shield wall demolished using open-air controlled explosive demolition (CED). CED of the shield wall was closely monitored and resulted in no radiological exposure or atmospheric release.

Michael Kruzic

2007-09-01T23:59:59.000Z

12

Tobacco Consumption  

Science Journals Connector (OSTI)

Tobacco consumption is the use of tobacco products in different forms such as , , , water-pipes or tobacco products. Cigarettes and tobacco products containing tobacco are highly engineered so as to creat...

Martina Pötschke-Langer

2008-01-01T23:59:59.000Z

13

Consumption Behavior in Investment/Consumption Problems  

Science Journals Connector (OSTI)

In this chapter we study the consumption behavior of an agent in the dynamic framework of consumption/investment decision making that allows the presence of a subsistence consumption level and the possibility of ...

E. L. Presman

1997-01-01T23:59:59.000Z

14

Energy Consumption | OpenEI  

Open Energy Info (EERE)

Consumption Consumption 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

15

Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China  

E-Print Network [OSTI]

end-use Residential primary energy consumption was 6.6 EJ inof primary energy. Primary energy consumption includes final14 Residential Primary Energy Consumption by Fuel (with

Zhou, Nan

2010-01-01T23:59:59.000Z

16

Public perceptions of energy consumption and savings  

E-Print Network [OSTI]

Public perceptions of energy consumption and savings Shahzeen Z. Attaria,1 , Michael L. De consumption and savings for a variety of household, transportation, and recycling activities. When asked, with 98% of US emissions attributed to energy consumption (2). According to Pacala and Socolow (3

Kammen, Daniel M.

17

Monitoring Energy Consumption In Wireless Sensor Networks  

E-Print Network [OSTI]

Monitoring Energy Consumption In Wireless Sensor Networks Matthias Witt, Christoph Weyer, it may impair the ability of the sensor network to function. Therefore, minimizing energy consumption energy consumption in both standby and active modes is the basis of wireless networks. Energy preserving

Turau, Volker

18

Optimal Consumption Choice with Intertemporal Substitution y  

E-Print Network [OSTI]

Optimal Consumption Choice with Intertemporal Substitution y By Peter Bank and Frank Riedel z consumption plans are established under arbitrary convex portfolio constraints, including both complete of the underlying stochastics, optimal consumption occurs at rates, in gulps, or in a singular way. y Support

Bank, Peter

19

Externality of Consumption  

Science Journals Connector (OSTI)

Externalities of consumption exist if one individual's consumption of a good or service has positive... utility of another person. A positive externality increases ...

2008-01-01T23:59:59.000Z

20

Displacing Natural Gas Consumption and Lowering Emissions  

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

fuels and thereby reduce their natural gas consumption. Opportunity gas fuels include biogas from animal and agri- cultural wastes, wastewater plants, and landfills, as well as...

Note: This page contains sample records for the topic "activities including consumption" 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

Occurrence and fate of pharmaceutically active compounds in the largest municipal wastewater treatment plant in Southwest China: Mass balance analysis and consumption back-calculated model  

Science Journals Connector (OSTI)

Abstract The occurrence and fate of twenty-one pharmaceutically active compounds (PhACs) were investigated in different steps of the largest wastewater treatment plant (WWTP) in Southwest China. Concentrations of these PhACs were determined in both wastewater and sludge phases by a high-performance liquid chromatography coupled with electrospray ionization tandem mass spectrometry. Results showed that 21 target PhACs were present in wastewater and 18 in sludge. The calculated total mass load of PhACs per capita to the influent, the receiving water and sludge were 4.95 mg d?1 person?1, 889.94 ?g d?1 person?1 and 78.57 ?g d?1 person?1, respectively. The overall removal efficiency of the individual PhACs ranged from “negative removal” to almost complete removal. Mass balance analysis revealed that biodegradation is believed to be the predominant removal mechanism, and sorption onto sludge was a relevant removal pathway for quinolone antibiotics, azithromycin and simvastatin, accounting for 9.35–26.96% of the initial loadings. However, the sorption of the other selected PhACs was negligible. The overall pharmaceutical consumption in Chongqing, China, was back-calculated based on influent concentration by considering the pharmacokinetics of PhACs in humans. The back-estimated usage was in good agreement with usage of ofloxacin (agreement ratio: 72.5%). However, the back-estimated usage of PhACs requires further verification. Generally, the average influent mass loads and back-calculated annual per capita consumption of the selected antibiotics were comparable to or higher than those reported in developed countries, while the case of other target PhACs was opposite.

Qing Yan; Xu Gao; Lei Huang; Xiu-Mei Gan; Yi-Xin Zhang; You-Peng Chen; Xu-Ya Peng; Jin-Song Guo

2014-01-01T23:59:59.000Z

22

Electricity Consumption Electricity Consumption EIA Electricity Consumption Estimates  

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

Consumption Consumption Electricity Consumption EIA Electricity Consumption Estimates (million kWh) National Petroleum Council Assumption: The definition of electricity con- sumption and sales used in the NPC 1999 study is the equivalent ofwhat EIA calls "sales by utilities" plus "retail wheeling by power marketers." This A nn u al Gro wth total could also be called "sales through the distribution grid," 2o 99 99 to Sales by Utilities -012% #N/A Two other categories of electricity consumption tracked by EIA cover on site Retail Wheeling Sales by generation for host use. The first, "nonutility onsite direct use," covers the Power Marketen 212.25% #N/A traditional generation/cogeneration facilities owned by industrial or large All Sales Through Distribution

23

Population, Consumption & the Environment  

E-Print Network [OSTI]

12/11/2009 1 Population, Consumption & the Environment Alex de Sherbinin Center for International of carbon in 2001 · The ecological footprint, a composite measure of consumption measured in hectares kind of consumption is bad for the environment? 2. How are population dynamics and consumption linked

Columbia University

24

Manufacturing Consumption of Energy 1994  

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

energy data used in this report do not reflect adjustments for losses in electricity generation or transmission. energy data used in this report do not reflect adjustments for losses in electricity generation or transmission. 1 The manufacturing sector is composed of establishments classified in Standard Industrial Classification 20 through 39 of the U.S. economy as defined 2 by the Office of Management and Budget. The manufacturing sector is a part of the industrial sector, which also includes mining; construction; and agriculture, forestry, and fishing. The EIA also conducts energy consumption surveys in the residential, commercial buildings, and residential transportation sectors: the Residential Energy 3 Consumption Survey (RECS); the Commercial Buildings Energy Consumption Survey (CBECS); and, until recently, the Residential Transportation Energy Consumption Survey (RTECS).

25

EIA - Analysis of Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption 2010 Natural Gas Year-In-Review 2009 This is a special report that provides an overview of the natural gas industry and markets in 2009 with special focus on the first complete set of supply and disposition data for 2009 from the Energy Information Administration. Topics discussed include natural gas end-use consumption trends, offshore and onshore production, imports and exports of pipeline and liquefied natural gas, and above-average storage inventories. Categories: Prices, Production, Consumption, Imports/Exports & Pipelines, Storage (Released, 7/9/2010, Html format) Trends in U.S. Residential Natural Gas Consumption This report presents an analysis of residential natural gas consumption trends in the United States through 2009 and analyzes consumption trends for the United States as a whole (1990 through 2009) and for each Census Division (1998 through 2009). It examines a long-term downward per-customer consumption trend and analyzes whether this trend persists across Census Divisions. The report also examines some of the factors that have contributed to the decline in per-customer consumption. To provide a more meaningful measure of per-customer consumption, EIA adjusted consumption data presented in the report for weather. Categories: Consumption (Released, 6/23/2010, pdf format)

26

World energy consumption  

SciTech Connect (OSTI)

Historical and projected world energy consumption information is displayed. The information is presented by region and fuel type, and includes a world total. Measurements are in quadrillion Btu. Sources of the information contained in the table are: (1) history--Energy Information Administration (EIA), International Energy Annual 1992, DOE/EIA-0219(92); (2) projections--EIA, World Energy Projections System, 1994. Country amounts include an adjustment to account for electricity trade. Regions or country groups are shown as follows: (1) Organization for Economic Cooperation and Development (OECD), US (not including US territories), which are included in other (ECD), Canada, Japan, OECD Europe, United Kingdom, France, Germany, Italy, Netherlands, other Europe, and other OECD; (2) Eurasia--China, former Soviet Union, eastern Europe; (3) rest of world--Organization of Petroleum Exporting Countries (OPEC) and other countries not included in any other group. Fuel types include oil, natural gas, coal, nuclear, and other. Other includes hydroelectricity, geothermal, solar, biomass, wind, and other renewable sources.

NONE

1995-12-01T23:59:59.000Z

27

Trends in Renewable Energy Consumption and Electricity  

Reports and Publications (EIA)

Presents a summary of the nation’s renewable energy consumption in 2010 along with detailed historical data on renewable energy consumption by energy source and end-use sector. Data presented also includes renewable energy consumption for electricity generation and for non-electric use by energy source, and net summer capacity and net generation by energy source and state. The report covers the period from 2006 through 2010.

2012-01-01T23:59:59.000Z

28

The effect of chronic ethanol consumption on enzyme activities of the energy-supplying metabolism and the alcohol-aldehyde oxidizing system in rat hearts  

Science Journals Connector (OSTI)

We investigated in rat hearts if chronic alcohol consumption causes an enzymatic adaption of the energy-supplying metabolism and/or of the alcohol- ... with a liquid diet for 10 weeks. Ethanol was added to this d...

Dr. H. H. Klein; U. Spaar; H. Kreuzer

29

" Column: Energy-Consumption Ratios;"  

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

" Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per...

30

OpenEI - Energy Consumption  

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 consumption/residential/">Residential Energy Consumption Survey (RECS) for statistical references of building types

31

Evaluating Texas State University Energy Consumption According to Productivity  

E-Print Network [OSTI]

The Energy Utilization Index, energy consumption per square foot of floor area, is the most commonly used index of building energy consumption. However, a building or facility exists solely to support the activities of its occupants. Floor area...

Carnes, D.; Hunn, B. D.; Jones, J. W.

1998-01-01T23:59:59.000Z

32

CSV File Documentation: Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption The State Energy Data System (SEDS) comma-separated value (CSV) files contain consumption estimates shown in the tables located on the SEDS website. There are four files that contain estimates for all states and years. Consumption in Physical Units contains the consumption estimates in physical units for all states; Consumption in Btu contains the consumption estimates in billion British thermal units (Btu) for all states. There are two data files for thermal conversion factors: the CSV file contains all of the conversion factors used to convert data between physical units and Btu for all states and the United States, and the Excel file shows the state-level conversion factors for coal and natural gas in six Excel spreadsheets. Zip files are also available for the large data files. In addition, there is a CSV file for each state, named

33

Food production and consumption near the Savannah River Site  

SciTech Connect (OSTI)

Routine operations at the Savannah River Site (SRS) result in the release of radionuclides to the atmosphere and to the Savannah River. The resulting radiological doses to the off-site maximum individual and the 80-km population are estimated on a yearly basis. These estimates are generated using dose models prescribed in the NRC Reg. Guide 1.109 for the commercial nuclear power industry. A study of land and water usage characteristics in the region of the Savannah River Site has been conducted to determine site-specific values of the NRC dose model parameters. The study's scope included local characteristics of meat, milk, vegetable production; Savannah River recreational activities and fish harvests; meat, milk, vegetable, and seafood consumption rates; and Savannah River drinking-water populations. Average and maximum consumption rates of beef, milk, vegetables, and fish have been determined for individuals residing in the southern United States. The study suggest that many of the consumption rates provided by the NRC may not be appropriate for residents of the South. Average consumption rates are slightly higher than the defaults provided by the NRC. Maximum consumption rates, however, are typically lower than NRC values. Agricultural productivity in the SRS region was found to be quite different than NRC recommendations. Off-site doses have been predicted using both NRC and SRS parameter values to demonstrate the significance of site-specific data.

Hamby, D.M.

1991-01-01T23:59:59.000Z

34

Food production and consumption near the Savannah River Site  

SciTech Connect (OSTI)

Routine operations at the Savannah River Site (SRS) result in the release of radionuclides to the atmosphere and to the Savannah River. The resulting radiological doses to the off-site maximum individual and the 80-km population are estimated on a yearly basis. These estimates are generated using dose models prescribed in the NRC Reg. Guide 1.109 for the commercial nuclear power industry. A study of land and water usage characteristics in the region of the Savannah River Site has been conducted to determine site-specific values of the NRC dose model parameters. The study`s scope included local characteristics of meat, milk, vegetable production; Savannah River recreational activities and fish harvests; meat, milk, vegetable, and seafood consumption rates; and Savannah River drinking-water populations. Average and maximum consumption rates of beef, milk, vegetables, and fish have been determined for individuals residing in the southern United States. The study suggest that many of the consumption rates provided by the NRC may not be appropriate for residents of the South. Average consumption rates are slightly higher than the defaults provided by the NRC. Maximum consumption rates, however, are typically lower than NRC values. Agricultural productivity in the SRS region was found to be quite different than NRC recommendations. Off-site doses have been predicted using both NRC and SRS parameter values to demonstrate the significance of site-specific data.

Hamby, D.M.

1991-12-31T23:59:59.000Z

35

Modeling energy consumption of residential furnaces and boilers in U.S. homes  

E-Print Network [OSTI]

ENERGY CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . .ENERGY CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . .28 ENERGY CONSUMPTION

Lutz, James; Dunham-Whitehead, Camilla; Lekov, Alex; McMahon, James

2004-01-01T23:59:59.000Z

36

consumption | OpenEI  

Open Energy Info (EERE)

consumption consumption Dataset Summary Description This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. Source National Renewable Energy Laboratory Date Released August 28th, 2012 (2 years ago) Date Updated Unknown Keywords coal consumption csp factors geothermal PV renewable energy technologies Water wind withdrawal Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Operational water consumption and withdrawal factors for electricity generating technologies (xlsx, 32.3 KiB)

37

Reduces electric energy consumption  

E-Print Network [OSTI]

consumption · Reduces nonhazardous solid waste and wastewater generation · Potential annual savings, and recycling. Alcoa provides the packaging, automotive, aerospace, and construction markets with a variety

38

Transportation Energy Consumption Surveys  

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

Energy Consumption (RTECS) - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses...

39

Effects of Chronic Ethanol Consumption on Benzo(a)pyrene Metabolism and Glutathione S-Transferase Activities in Syrian Golden Hamster Cheek Pouch and Liver  

Science Journals Connector (OSTI)

...Deacetylation of histone H3 at lysine 9 with ethanol in human colonic epithelial cells Hyeran...observations have implicated chronic excess ethanol consumption as a risk factor for various...Recent epigenetic studies demonstrated that ethanol causes selective acetylation of histone...

Sharon E. Murphy and Stephen S. Hecht

1986-01-01T23:59:59.000Z

40

Effects of Chronic Ethanol Consumption on Benzo(a)pyrene Metabolism and Glutathione S-Transferase Activities in Syrian Golden Hamster Cheek Pouch and Liver  

Science Journals Connector (OSTI)

...ethanol. Both control and ethanol diets were essentially those...and 47%, respectively. Ethanol-consuming animals were allowed...a consumption of 28 kcal of energy per day per 100 g body weight...was similar in control and ethanol- consuming animals and typical...

Sharon E. Murphy and Stephen S. Hecht

1986-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "activities including consumption" 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

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

E-Print Network [OSTI]

window related primary energy consumption of the US building= 1.056 EJ. “Primary” energy consumption includes a site-to-the amount of primary energy consumption required by space

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

42

Manufacturing Consumption of Energy 1994  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration/Manufacturing Consumption of Energy 1994 Energy Information Administration/Manufacturing Consumption of Energy 1994 Introduction The market for natural gas has been changing for quite some time. As part of natural gas restructuring, gas pipelines were opened to multiple users. Manufacturers or their representatives could go directly to the wellhead to purchase their natural gas, arrange the transportation, and have the natural gas delivered either by the local distribution company or directly through a connecting pipeline. More recently, the electricity markets have been undergoing change. When Congress passed the Energy Policy Act of 1992, requirements were included not only to open access to the ownership of electricity generation, but also to open access to the transmission lines so that wholesale trade in electricity would be possible. Now several States, including California and

43

Manufacturing Consumption of Energy 1994  

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

Manufacturing Manufacturing Energy Consumption Survey Forms Form EIA-846A (4-6-95) U.S. Department of Commerce Bureau of the Census Acting as Collecting and Compiling Agent For 1994 MANUFACTURING ENERGY CONSUMPTION SURVEY Public reporting burden for this collection of information is estimated to average 9 hours per response, including the time of reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to the Energy Information Administration, Office of Statistical Standards, EI-73, 1707 H-Street, NW, Washington, DC 20585; and to the Office of Information and Regulatory Affairs, Office of

44

Manufacturing consumption of energy 1994  

SciTech Connect (OSTI)

This report provides estimates on energy consumption in the manufacturing sector of the U.S. economy based on data from the Manufacturing Energy Consumption Survey. The sample used in this report represented about 250,000 of the largest manufacturing establishments which account for approximately 98 percent of U.S. economic output from manufacturing, and an expected similar proportion of manufacturing energy use. The amount of energy use was collected for all operations of each establishment surveyed. Highlights of the report include profiles for the four major energy-consuming industries (petroleum refining, chemical, paper, and primary metal industries), and an analysis of the effects of changes in the natural gas and electricity markets on the manufacturing sector. Seven appendices are included to provide detailed background information. 10 figs., 51 tabs.

NONE

1997-12-01T23:59:59.000Z

45

Household vehicles energy consumption 1994  

SciTech Connect (OSTI)

Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

NONE

1997-08-01T23:59:59.000Z

46

Chapter 4. Fuel Economy, Consumption and Expenditures  

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

4. Fuel Economy, Consumption, and Expenditures 4. Fuel Economy, Consumption, and Expenditures Chapter 4. Fuel Economy, Consumption, and Expenditures This chapter analyzes trends in fuel economy, fuel consumption, and fuel expenditures, using data unique to the Residential Transportation Energy Consumption Survey, as well as selected data from other sources. Analysis topics include the following: Following the oil supply and price disruptions caused by the Arab oil embargo of 1973-1974, motor gasoline price increases, the introduction of corporate average fuel economy standards, and environmental quality initiatives helped to spur major changes in vehicle technology. But have the many advances in vehicle technology resulted in measurable gains in the fuel economy of the residential vehicle fleet?

47

OpenEI - consumption  

Open Energy Info (EERE)

91/0 en Operational water 91/0 en Operational water consumption and withdrawal factors for electricity generating technologies http://en.openei.org/datasets/node/969 This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions.

License

48

Energy Information Administration (EIA)- Manufacturing Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

Steel Industry Analysis Brief Change Topic: Steel | Chemical Steel Industry Analysis Brief Change Topic: Steel | Chemical JUMP TO: Introduction | Energy Consumption | Energy Expenditures | Producer Prices and Production | Energy Intensity | Energy Management Activities Introduction The steel industry is critical to the U.S. economy. Steel is the material of choice for many elements of construction, transportation, manufacturing, and a variety of consumer products. It is the backbone of bridges, skyscrapers, railroads, automobiles, and appliances. Most grades of steel used today - particularly high-strength steels that are lighter and more versatile - were not available a decade ago.1 The U.S. steel industry (including iron production) relies significantly on natural gas and coal coke and breeze for fuel, and is one of the largest

49

Reduction of Water Consumption  

E-Print Network [OSTI]

Cooling systems using water evaporation to dissipate waste heat, will require one pound of water per 1,000 Btu. To reduce water consumption, a combination of "DRY" and "WET" cooling elements is the only practical answer. This paper reviews...

Adler, J.

50

Fuel Consumption and Emissions  

Science Journals Connector (OSTI)

Calculating fuel consumption and emissions is a typical offline analysis ... simulations or real trajectory data) and the engine speed (as obtained from gear-shift schemes ... as input and is parameterized by veh...

Martin Treiber; Arne Kesting

2013-01-01T23:59:59.000Z

51

Spermatophore consumption in a cephalopod  

Science Journals Connector (OSTI)

...Animal behaviour 1001 14 70 Spermatophore consumption in a cephalopod Benjamin J. Wegener...provide evidence of ejaculate and sperm consumption in a cephalopod. Through labelling...combination of female spermatophore consumption and short-term external sperm storage...

2013-01-01T23:59:59.000Z

52

Food consumption trends and drivers  

Science Journals Connector (OSTI)

...original work is properly cited. Food consumption trends and drivers John Kearney...Government policy. A picture of food consumption (availability) trends and projections...largely responsible for these observed consumption trends are the subject of this review...

2010-01-01T23:59:59.000Z

53

Residential Energy Consumption Survey (RECS) - Energy Information  

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

Consumption Survey (RECS) - U.S. Energy Information Consumption Survey (RECS) - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency Energy use in homes, commercial buildings, manufacturing, and transportation. Coal Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. Renewable & Alternative Fuels

54

Rice consumption in China  

E-Print Network [OSTI]

RICE CONSUMPTION IN CHINA A Thesis by JIN LAN Submitted to the Office of Graduate Studies of Texas ASM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1989 Major Subject: Agricultural... Economics RICE CONSUMPTION IN CHINA A Thesis by JIN LAN Approved as to style and content by: E, We ey F. Peterson (Chair of Committee) James E. Christiansen (Member) Carl Shaf (Member) Daniel I. Padberg (Head of Department) August 1989...

Lan, Jin

2012-06-07T23:59:59.000Z

55

Household Vehicles Energy Consumption 1991  

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

methodology used to estimate these statistics relied on data from the 1990 Residential Energy Consumption Survey (RECS), the 1991 Residential Transportation Energy Consumption...

56

State energy data report 1994: Consumption estimates  

SciTech Connect (OSTI)

This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

NONE

1996-10-01T23:59:59.000Z

57

Office Buildings - Energy Consumption  

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

Energy Consumption Energy Consumption Office buildings consumed more than 17 percent of the total energy used by the commercial buildings sector (Table 4). At least half of total energy, electricity, and natural gas consumed by office buildings was consumed by administrative or professional office buildings (Figure 2). Table 4. Energy Consumed by Office Buildings for Major Fuels, 2003 All Buildings Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Total Floorspace (million sq. ft.) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat All Buildings 4,859 71,658 6,523 3,559 2,100 228 636 All Non-Mall Buildings 4,645 64,783 5,820 3,037 1,928 222 634 All Office Buildings 824 12,208 1,134 719 269 18 128 Type of Office Building

58

Natural Gas Consumption  

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

Lease Fuel Consumption Plant Fuel Consumption Pipeline & Distribution Use Volumes Delivered to Consumers Volumes Delivered to Residential Volumes Delivered to Commercial Consumers Volumes Delivered to Industrial Consumers Volumes Delivered to Vehicle Fuel Consumers Volumes Delivered to Electric Power Consumers Period: Monthly Annual Lease Fuel Consumption Plant Fuel Consumption Pipeline & Distribution Use Volumes Delivered to Consumers Volumes Delivered to Residential Volumes Delivered to Commercial Consumers Volumes Delivered to Industrial Consumers Volumes Delivered to Vehicle Fuel Consumers Volumes Delivered to Electric Power Consumers Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 23,103,793 23,277,008 22,910,078 24,086,797 24,477,425 25,533,448 1949-2012 Alabama 418,512 404,157 454,456 534,779 598,514 666,738 1997-2012 Alaska 369,967 341,888 342,261 333,312 335,458 343,110 1997-2012

59

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

C3. Primary Energy Consumption Estimates, 2011 C3. Primary Energy Consumption Estimates, 2011 (Trillion Btu) State Fossil Fuels Fossil Fuels (as commingled) Coal Natural Gas excluding Supplemental Gaseous Fuels a Petroleum Total Natural Gas including Supplemental Gaseous Fuels a Motor Gasoline including Fuel Ethanol a Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline excluding Fuel Ethanol a Residual Fuel Oil Other d Total Alabama ........... 651.0 614.8 156.5 13.4 12.8 304.5 13.4 49.1 549.5 1,815.4 614.8 319.8 Alaska ............... 15.5 337.0 85.1 118.2 1.3 31.9 1.9 28.6 267.1 619.6 337.0 34.6 Arizona ............. 459.9 293.7 151.8 21.5 9.1 297.3 (s) 21.1 500.9 1,254.5 293.7 323.4 Arkansas ........... 306.1 288.6 134.9 5.9 9.4 165.4 0.2 19.8 335.7 930.5 288.6 175.6 California .......... 55.3 2,196.6 567.0 549.7 67.2 1,695.4 186.9 339.6 3,405.8 5,657.6 2,196.6

60

Data Center Power Consumption  

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

Center Power Consumption Center Power Consumption A new look at a growing problem Fact - Data center power density up 10x in the last 10 years 2.1 kW/rack (1992); 14 kW/rack (2007) Racks are not fully populated due to power/cooling constraints Fact - Increasing processor power Moore's law Fact - Energy cost going up 3 yr. energy cost equivalent to acquisition cost Fact - Iterative power life cycle Takes as much energy to cool computers as it takes to power them. Fact - Over-provisioning Most data centers are over-provisioned with cooling and still have hot spots November 2007 SubZero Engineering An Industry at the Crossroads Conflict between scaling IT demands and energy efficiency Server Efficiency is improving year after year Performance/Watt doubles every 2 years Power Density is Going Up

Note: This page contains sample records for the topic "activities including consumption" 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

101. Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

1. Natural Gas Consumption 1. Natural Gas Consumption in the United States, 1930-1996 (Million Cubic Feet) Table Year Lease and Plant Fuel Pipeline Fuel Delivered to Consumers Total Consumption Residential Commercial Industrial Vehicle Fuel Electric Utilities Total 1930 ....................... 648,025 NA 295,700 80,707 721,782 NA 120,290 1,218,479 1,866,504 1931 ....................... 509,077 NA 294,406 86,491 593,644 NA 138,343 1,112,884 1,621,961 1932 ....................... 477,562 NA 298,520 87,367 531,831 NA 107,239 1,024,957 1,502,519 1933 ....................... 442,879 NA 283,197 85,577 590,865 NA 102,601 1,062,240 1,505,119 1934 ....................... 502,352 NA 288,236 91,261 703,053 NA 127,896 1,210,446 1,712,798 1935 ....................... 524,926 NA 313,498 100,187 790,563 NA 125,239 1,329,487 1,854,413 1936 ....................... 557,404 NA 343,346

62

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

63

Intermediate Energy Infobook and Intermediate Infobook Activities (29 Activities)  

K-12 Energy Lesson Plans and Activities Web site (EERE)

The Teacher Infobook provides fact sheets about energy, the major energy sources, electricity, energy consumption, and energy efficiency and conservation. The background section includes an introduction to energy and details about individual energy sources. There are also sections on global climate change and several detailed fact sheets on electricity and energy consumption and efficiency. The companion student activities book reinforces the general information and facts about the energy sources.

64

Standby electricity consumption and saving potentials of Turkish households  

Science Journals Connector (OSTI)

Abstract The share of the residential sector currently accounts for about 25% of the national electricity consumption in Turkey. Due to increase in household income levels and decrease in the costs of appliances; significant increases in appliance ownerships and residential electricity consumption levels have been observed in recent years. Most domestic appliances continue consuming electricity when they are not performing their primary functions, i.e. at standby mode, which can constitute up 15% of the total household electricity consumption in some countries. Although the demand in Turkish residential electricity consumption is increasing, there are limited studies on the components of the residential electricity consumption and no studies specifically examining the extent and effects of standby electricity consumption using a surveying/measurement methodology. Thus, determining the share of standby electricity consumption in total home electricity use and the ways of reducing it are important issues in residential energy conservation strategies. In this study, surveys and standby power measurements are conducted at 260 households in Ankara, Turkey, to determine the amount, share, and saving potentials of the standby electricity consumption of Turkish homes. The survey is designed to gather information on the appliance properties, lights, electricity consumption behavior, economic and demographics of the occupants, and electricity bills. A total of 1746 appliances with standby power are measured in the surveyed homes. Using the survey and standby power measurements data, the standby, active, and lighting end-use electricity consumptions of the surveyed homes are determined. The average Turkish household standby power and standby electricity consumption are estimated as 22 W and 95 kW h/yr, respectively. It was also found that the standby electricity consumption constitutes 4% of the total electricity consumption in Turkish homes. Two scenarios are then applied to the surveyed homes to determine the potentials in reducing standby electricity consumption of the households.

Mustafa Cagri Sahin; Merih Aydinalp Koksal

2014-01-01T23:59:59.000Z

65

Reducing power consumption during execution of an application on a plurality of compute nodes  

DOE Patents [OSTI]

Methods, apparatus, and products are disclosed for reducing power consumption during execution of an application on a plurality of compute nodes that include: executing, by each compute node, an application, the application including power consumption directives corresponding to one or more portions of the application; identifying, by each compute node, the power consumption directives included within the application during execution of the portions of the application corresponding to those identified power consumption directives; and reducing power, by each compute node, to one or more components of that compute node according to the identified power consumption directives during execution of the portions of the application corresponding to those identified power consumption directives.

Archer, Charles J. (Rochester, MN); Blocksome, Michael A. (Rochester, MN); Peters, Amanda E. (Rochester, MN); Ratterman, Joseph D. (Rochester, MN); Smith, Brian E. (Rochester, MN)

2012-06-05T23:59:59.000Z

66

Estimates of US biofuels consumption, 1990  

SciTech Connect (OSTI)

This report is the sixth in the series of publications developed by the Energy Information Administration to quantify the amount of biofuel-derived primary energy used by the US economy. It provides preliminary estimates of 1990 US biofuels energy consumption by sector and by biofuels energy resource type. The objective of this report is to provide updated annual estimates of biofuels energy consumption for use by congress, federal and state agencies, and other groups involved in activities related to the use of biofuels. 5 figs., 10 tabs.

Not Available

1991-10-01T23:59:59.000Z

67

Reducing Network Energy Consumption via Sleeping and Rate-Adaptation  

E-Print Network [OSTI]

Reducing Network Energy Consumption via Sleeping and Rate-Adaptation Sergiu Nedevschi Lucian Popa of two forms of power management schemes that reduce the energy consumption of networks. The first the energy consumed when actively processing packets. For real-world traffic workloads and topologies and us

California at Irvine, University of

68

Profiling an application for power consumption during execution on a compute node  

DOE Patents [OSTI]

Methods, apparatus, and products are disclosed for profiling an application for power consumption during execution on a compute node that include: receiving an application for execution on a compute node; identifying a hardware power consumption profile for the compute node, the hardware power consumption profile specifying power consumption for compute node hardware during performance of various processing operations; determining a power consumption profile for the application in dependence upon the application and the hardware power consumption profile for the compute node; and reporting the power consumption profile for the application.

Archer, Charles J; Blocksome, Michael A; Peters, Amanda E; Ratterman, Joseph D; Smith, Brian E

2013-09-17T23:59:59.000Z

69

ENERGY CONSUMPTION SURVEY  

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

5 RESIDENTIAL TRANSPORTATION 5 RESIDENTIAL TRANSPORTATION ENERGY CONSUMPTION SURVEY Prepared for: UNITED STATES DEPARTMENT OF ENERGY ENERGY INFORMATION ADMINISTRATION OFFICE OF ENERGY MARKETS AND END USE ENERGY END USE DIVISION RESIDENTIAL AND COMMERCIAL BRANCH WASHINGTON, DC 20585 Prepared by: THE ORKAND CORPORATION 8484 GEORGIA AVENUE SILVER SPRING, MD 20910 October 1986 Contract Number DE-AC01-84EI19658 TABLE OF CONTENTS FRONT MATTER Index to Program Descriptions........................................... vi List of Exhibits ....................................................... viii Acronyms and Abbreviations ............................................. ix SECTION 1: GENERAL INFORMATION ........................................ 1-1 1.1. Summary ....................................................... 1-1

70

Indexes of Consumption and Production  

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

Figure on manufacturing production indexes and purchased energy consumption Figure on manufacturing production indexes and purchased energy consumption Source: Energy Information Administration and Federal Reserve Board. History of Shipments This chart presents indices of 14 years (1980-1994) of historical data of manufacturing production indexes and Purchased (Offsite-Produced) Energy consumption, using 1992 as the base year (1992 = 100). Indexing both energy consumption and production best illustrates the trends in output and consumption. Taken separately, these two indices track the relative growth rates within the specified industry. Taken together, they reveal trends in energy efficiency. For example, a steady increase in output, coupled with a decline in energy consumption, represents energy efficiency gains. Likewise, steadily rising energy consumption with a corresponding decline in output illustrates energy efficiency losses.

71

Commercial Buildings Energy Consumption and Expenditures 1992 - Executive  

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

& Expenditures > Executive Summary & Expenditures > Executive Summary 1992 Consumption & Expenditures Executive Summary Commercial Buildings Energy Consumption and Expenditures 1992 presents statistics about the amount of energy consumed in commercial buildings and the corresponding expenditures for that energy. These data are based on the 1992 Commercial Buildings Energy Consumption Survey (CBECS), a national energy survey of buildings in the commercial sector, conducted by the Energy Information Administration (EIA) of the U.S. Department of Energy. Figure ES1. Energy Consumption is Commercial Buidings by Energy Source, 1992 Energy Consumption: In 1992, the 4.8 million commercial buildings in the United States consumed 5.5 quadrillion Btu of electricity, natural gas, fuel oil, and district heat. Of those 5.5 quadrillion Btu, consumption of site electricity accounted for 2.6 quadrillion Btu, or 48.0 percent, and consumption of natural gas accounted for 2.2 quadrillion Btu, or 39.6 percent. Fuel oil consumption made up 0.3 quadrillion Btu, or 4.0 percent of the total, while consumption of district heat made up 0.4 quadrillion Btu, or 7.9 percent of energy consumption in that sector. When the energy losses that occur at the electricity generating plants are included, the overall energy consumed by commercial buildings increases to about 10.8 quadrillion Btu (Figure ES1).

72

Household Vehicles Energy Consumption 1991  

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

1. 1. Introduction The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The Energy Information Administration (EIA) is mandated by Congress to collect, analyze, and disseminate impartial, comprehensive data about energy--how much is produced, who uses it, and the purposes for which it is used. To comply with this mandate, EIA collects energy data from a variety of sources covering a range of topics 1 . Background The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted

73

Household vehicles energy consumption 1991  

SciTech Connect (OSTI)

The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted during 1991 and early 1992. The 1991 RTECS represents 94.6 million households, of which 84.6 million own or have access to 151.2 million household motor vehicles in the 50 States and the District of Columbia.

Not Available

1993-12-09T23:59:59.000Z

74

International Energy Outlook 2001 - World Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

World Energy Consumption World Energy Consumption picture of a printer Printer Friendly Version (PDF) This report presents international energy projections through 2020, prepared by the Energy Information Administration, including outlooks for major energy fuels and issues related to electricity, transportation, and the environment. The International Energy Outlook 2001 (IEO2001) presents the Energy Information Administration (EIA) outlook for world energy markets to 2020. Current trends in world energy markets are discussed in this chapter, followed by a presentation of the IEO2001 projections for energy consumption by primary energy source and for carbon emissions by fossil fuel. Uncertainty in the forecast is highlighted by an examination of alternative assumptions about economic growth and their impacts on the

75

Appliance Energy Consumption in Australia | Open Energy Information  

Open Energy Info (EERE)

Appliance Energy Consumption in Australia Appliance Energy Consumption in Australia Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Appliance Energy Consumption in Australia Focus Area: Appliances & Equipment Topics: Policy Impacts Website: www.energyrating.gov.au/resources/program-publications/?viewPublicatio Equivalent URI: cleanenergysolutions.org/content/appliance-energy-consumption-australi DeploymentPrograms: Industry Codes & Standards Regulations: Appliance & Equipment Standards and Required Labeling The document sets out the equations necessary to calculate the star rating index for appliances that carry an energy label in Australia. Equations for new air conditioner and refrigerator algorithms from April 2010 are included. Televisions, which have carried a mandatory energy label from

76

Housing as basis for sustainable consumption  

Science Journals Connector (OSTI)

An important element in the discussion regarding sustainable development in our part of the world is directed towards the large growth in private consumption, and the clash of interests that arises between this growth and sustainable development requirements. A considerable part of private consumption can be related to our houses and the living situations of which they are part. It is of considerable interest to obtain more knowledge about the variations in patterns and volumes of consumption between different living situations, as well as to explore the important factors behind these variations. The acquisition of this type of empirical knowledge is an important aim in the present study. It is based on the superior thesis that it is possible through land use and housing planning to achieve substantial changes in living situations and thus contribute to a development in a direction of ''sustainable production and consumption''. The article first sums up the state-of-art regarding research on relations between physical planning, household consumption and environment. A theoretical framework and the methods applied in a Norwegian research project acquiring new empirical knowledge into these relations are also presented. The project was intended to be finished by the end of year 2000. Parts of the investigations are, however, completed and the material has been analysed. Two different types of urban structure, Oslo and a small rural town, are included in the investigations. The article presents some of the findings and relates them to former research.

Karl Georg Hoyer; Erling Holden

2001-01-01T23:59:59.000Z

77

Energy Consumption of Die Casting Operations  

SciTech Connect (OSTI)

Molten metal processing is inherently energy intensive and roughly 25% of the cost of die-cast products can be traced to some form of energy consumption [1]. The obvious major energy requirements are for melting and holding molten alloy in preparation for casting. The proper selection and maintenance of melting and holding equipment are clearly important factors in minimizing energy consumption in die-casting operations [2]. In addition to energy consumption, furnace selection also influences metal loss due to oxidation, metal quality, and maintenance requirements. Other important factors influencing energy consumption in a die-casting facility include geographic location, alloy(s) cast, starting form of alloy (solid or liquid), overall process flow, casting yield, scrap rate, cycle times, number of shifts per day, days of operation per month, type and size of die-casting form of alloy (solid or liquid), overall process flow, casting yield, scrap rate, cycle times, number of shifts per day, days of operation per month, type and size of die-casting machine, related equipment (robots, trim presses), and downstream processing (machining, plating, assembly, etc.). Each of these factors also may influence the casting quality and productivity of a die-casting enterprise. In a die-casting enterprise, decisions regarding these issues are made frequently and are based on a large number of factors. Therefore, it is not surprising that energy consumption can vary significantly from one die-casting enterprise to the next, and within a single enterprise as function of time.

Jerald Brevick; clark Mount-Campbell; Carroll Mobley

2004-03-15T23:59:59.000Z

78

Software Engineering Model Schedule -(with CS 1131) example only; actual schedule may vary; see your academic dept. Includes 3 units of co-curricular activities.  

E-Print Network [OSTI]

Software Engineering Model Schedule - (with CS 1131) example only; actual schedule may vary; see FALL SPRING FALL SPRING CS 1000 1 CS 2321 3 CS 1141 2 CS 3141 3 CS 1131 5 MA 2160 4 CS 2311 3 CS 3421 4 Activity (1) Total 17 Total 15 Total 14-15 Total 16-17 3rd Year 4th Year FALL SPRING FALL SPRING CS 3311 3

79

Software Engineering Model Schedule -(Starting with CS 1121) example only; actual schedule may vary; see your academic dept. Includes 3 units of co-curricular activities.  

E-Print Network [OSTI]

Software Engineering Model Schedule - (Starting with CS 1121) example only; actual schedule may Year 2nd Year FALL SPRING FALL SPRING CS 1000 1 CS 1122 3 CS 1141 2 CS 2311 3 CS 1121 3 MA 2160 4 CS Cocurricular Activity (1) Total 15 Total 15 Total 14-15 Total 16-17 3rd Year 4th Year FALL SPRING FALL SPRING

80

Manufacturing Consumption of Energy 1991--Combined Consumption and Fuel  

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

< < Welcome to the U.S. Energy Information Administration's Manufacturing Web Site. If you are having trouble, call 202-586-8800 for help. Return to Energy Information Administration Home Page. Home > Energy Users > Manufacturing > Consumption and Fuel Switching Manufacturing Consumption of Energy 1991 (Combined Consumption and Fuel Switching) Overview Full Report Tables & Spreadsheets This report presents national-level estimates about energy use and consumption in the manufacturing sector as well as manufacturers' fuel-switching capability. Contact: Stephanie.battle@eia.doe.gov Stephanie Battle Director, Energy Consumption Division Phone: (202) 586-7237 Fax: (202) 586-0018 URL: http://www.eia.gov/emeu/mecs/mecs91/consumption/mecs1a.html File Last Modified: May 25, 1996

Note: This page contains sample records for the topic "activities including consumption" 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

Residential Energy Consumption Survey Results: Total Energy Consumption,  

Open Energy Info (EERE)

Survey Results: Total Energy Consumption, Survey Results: Total Energy Consumption, Expenditures, and Intensities (2005) Dataset Summary Description The Residential Energy Consumption Survey (RECS) is a national survey that collects residential energy-related data. The 2005 survey collected data from 4,381 households in housing units statistically selected to represent the 111.1 million housing units in the U.S. Data were obtained from residential energy suppliers for each unit in the sample to produce the Consumption & Expenditures data. The Consumption & Expenditures and Intensities data is divided into two parts: Part 1 provides energy consumption and expenditures by census region, population density, climate zone, type of housing unit, year of construction and ownership status; Part 2 provides the same data according to household size, income category, race and age. The next update to the RECS survey (2009 data) will be available in 2011.

82

Baseline projections of transportation energy consumption by mode: 1981 update  

SciTech Connect (OSTI)

A comprehensive set of activity and energy-demand projections for each of the major transportation modes and submodes is presented. Projections are developed for a business-as-usual scenario, which provides a benchmark for assessing the effects of potential conservation strategies. This baseline scenario assumes a continuation of present trends, including fuel-efficiency improvements likely to result from current efforts of vehicle manufacturers. Because of anticipated changes in fuel efficiency, fuel price, modal shifts, and a lower-than-historic rate of economic growth, projected growth rates in transportation activity and energy consumption depart from historic patterns. The text discusses the factors responsible for this departure, documents the assumptions and methodologies used to develop the modal projections, and compares the projections with other efforts.

Millar, M; Bunch, J; Vyas, A; Kaplan, M; Knorr, R; Mendiratta, V; Saricks, C

1982-04-01T23:59:59.000Z

83

Energy Information Agency's 2003 Commercial Building Energy Consumption Survey Tables  

Broader source: Energy.gov [DOE]

Energy use intensities in commercial buildings vary widely and depend on activity and climate, as shown in this data table, which was derived from the Energy Information Agency's 2003 Commercial Building Energy Consumption Survey.

84

Water addition for increased CO/H[sub 2] hydrocarbon synthesis activity over catalysts comprising cobalt, ruthenium and mixtures thereof which may include a promoter metal  

SciTech Connect (OSTI)

A once-through, fixed or slurry bed Fischer Tropsch process is described with enhanced CO conversion activity and C[sub 5] + liquid hydrocarbon selectivity comprising contacting a feed mixture of carbon monoxide and hydrogen in a reaction zone with about 1 Vol % to about 70 Vol % water based on the total volume of feed mixture, at a pressure above one atmosphere and a temperature ranging from about 150 C to about 300 C, with a catalyst selected from the group consisting of cobalt, ruthenium, and mixtures thereof on a titania support, wherein said titania support is less than 40 m[sup 2]/g, converting at least 90 Vol % of the carbon monoxide to liquid hydrocarbons, and in the substantial absence of CO[sub 2] formation.

Kim, C.J.

1993-07-13T23:59:59.000Z

85

Manufacturing Consumption of Energy 1994  

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

Detailed Tables 28 Energy Information AdministrationManufacturing Consumption of Energy 1994 1. In previous MECS, the term "primary energy" was used to denote the "first use" of...

86

Manufacturing Consumption of Energy 1994  

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

1 Energy Information AdministrationManufacturing Consumption of Energy 1994 Introduction The market for natural gas has been changing for quite some time. As part of natural gas...

87

Household Vehicles Energy Consumption 1991  

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

vehicle aging have an additional but unknown effect on the MPG of individual vehicles. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 27 Of the...

88

THE NEXUS BETWEEN ENERGY CONSUMPTION AND ECONOMIC GROWTH IN OECD COUNTRIES: A DECOMPOSITION ANALYSIS  

E-Print Network [OSTI]

1 THE NEXUS BETWEEN ENERGY CONSUMPTION AND ECONOMIC GROWTH IN OECD COUNTRIES: A DECOMPOSITION the impacts of renewable and non-renewable energy consumption on economic activities to find out whether and both renewable and non-renewable energy consumption in the short- and long run. This finding confirms

89

Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information  

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

Cost of Natural Gas Used in Manufacturing Sector Has Fallen Graph showing Cost of Natural Gas Used in Manufacturing Sector Has Fallen Source: U.S. Energy Information Administration, Manufacturing Energy Consumption Survey (MECS) 1998-2010, September 6, 2013. New 2010 Manufacturing Energy Consumption Survey (MECS) Data Released › Graph showing total U.S. manufacturing energy consumption for all purposes has declined 17 percent from 2002 to 2010. Source: U.S. Energy Information Administration, Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Use and the Energy Intensity of Manufacturing Activity between 2002 and 2010, March 19, 2013. First Estimates from 2010 Manufacturing Energy Consumption Survey (MECS) Released ›

90

2002 Manufacturing Energy Consumption Survey - User Needs Survey  

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

2002 Manufacturing Energy Consumption Survey: User-Needs Survey 2002 Manufacturing Energy Consumption Survey: User-Needs Survey View current results. We need your help in designing the next “ Energy Consumption Survey” (MECS)! As our valued customer, you are in an important position to tell us what kinds of data are most useful in helping you understand energy consumption in the U.S. manufacturing sector. Below is a short electronic survey with just a few questions. We will stop collecting responses for user feedback on May 17, 2002. This deadline serves to meet our intended release date of April/May 2003 for fielding MECS2002. The MECS is designed to produce estimates of energy consumption and other energy-related activities in manufacturing. The survey also collects information on energy expenditures, average prices, onsite generation of

91

Electricity Consumption | OpenEI  

Open Energy Info (EERE)

Consumption Consumption Dataset Summary Description Total annual electricity consumption by country, 1980 to 2009 (billion kilowatthours). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords EIA Electricity Electricity Consumption world Data text/csv icon total_electricity_net_consumption_1980_2009billion_kwh.csv (csv, 50.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 1980 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

92

Biofuels Consumption | OpenEI  

Open Energy Info (EERE)

Biofuels Consumption Biofuels Consumption Dataset Summary Description Total annual biofuels consumption and production data by country was compiled by the Energy Information Administration (EIA). Data is presented as thousand barrels per day. Source EIA Date Released Unknown Date Updated Unknown Keywords Biofuels Biofuels Consumption EIA world Data text/csv icon total_biofuels_production_2000_2010thousand_barrels_per_day.csv (csv, 9.3 KiB) text/csv icon total_biofuels_consumption_2000_2010thousand_barrels_per_day.csv (csv, 9.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 2000 - 2010 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote

93

Coal consumption | OpenEI  

Open Energy Info (EERE)

consumption consumption Dataset Summary Description Total annual coal consumption by country, 1980 to 2009 (available as Quadrillion Btu). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords coal Coal consumption EIA world Data text/csv icon total_coal_consumption_1980_2009quadrillion_btu.csv (csv, 38.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 1980 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

94

Manufacturing Consumption of Energy 1994  

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

(MECS) > MECS 1994 Combined Consumption and Fuel Switching (MECS) > MECS 1994 Combined Consumption and Fuel Switching Manufacturing Energy Consumption Survey 1994 (Combined Consumption and Fuel Switching) Manufacturing Energy Consumption Logo Full Report - (file size 5.4 MB) pages:531 Selected Sections (PDF format) Contents (file size 56 kilobytes, 10 pages). Overview (file size 597 kilobytes, 11 pages). Chapters 1-3 (file size 265 kilobytes, 9 pages). Chapter 4 (file size 1,070 kilobytes, 15 pages). Appendix A - Detailed Tables Tables A1 - A8 (file size 1,031 kilobytes, 139 pages). Tables A9 - A23 (file size 746 kilobytes, 119 pages). Tables A24 - A29 (file size 485 kilobytes, 84 pages). Tables A30 - A44 (file size 338 kilobytes, 39 pages). Appendix B (file size 194 kilobytes, 24 pages). Appendix C (file size 116 kilobytes, 16 pages).

95

Vehicle Technologies Office: EPAct Transportation Regulatory Activities  

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

EPAct Transportation Regulatory Activities EPAct Transportation Regulatory Activities The U.S. Department of Energy's (DOE) Vehicle Technologies Office manages several Energy Policy Act (EPAct) transportation regulatory activities that aim to reduce U.S. petroleum consumption by building a core market for alternative fuel vehicles (AFVs). EPAct directed DOE to develop the Alternative Fuel Transportation Program to manage regulatory activities, including the State and Alternative Fuel Provider Fleet Program, which requires covered fleets to reduce petroleum consumption through one of two compliance methods. Features Discover how National Grid meets EPAct requirements Read the latest newsletter Learn about Alternative Compliance Quick Links Standard Compliance Reporting Standard Compliance Alternative Compliance

96

Ohmic Flux Consumption During Initial Operation of the NSTX Spherical Torus  

E-Print Network [OSTI]

Ohmic Flux Consumption During Initial Operation of the NSTX Spherical Torus J. Menard 1 , B. Le­2.2, triangularity #=0.4, internal inductance l i =0.6, and Ejima coe#cient CE=0.35. Flux consumption e of the equations used for parameterizing flux consumption, Section 3. describes the experimental results including

97

Genetics of caffeine consumption and responses to caffeine Amy Yang & Abraham A. Palmer & Harriet de Wit  

E-Print Network [OSTI]

REVIEW Genetics of caffeine consumption and responses to caffeine Amy Yang & Abraham A. Palmer genetics affects consumption, acute re- sponse, or the long-term effects of caffeine. Objective This paper heritability of consumption and of caffeine-related traits, including withdrawal symptoms, caffeine

Ober, Carole

98

DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption  

Gasoline and Diesel Fuel Update (EIA)

General information about EIA data on energy consumption may be obtained from Wray Smith, Director, Office of Energy Markets and End Use (202- 252-1617); Lynda T. Carlson,...

99

Energy consumption testing of innovative refrigerator-freezers  

SciTech Connect (OSTI)

The high ambient temperature of the Canadian Standards Association (CSA) and the AHAM/DOE Refrigerator-Freezer Energy Consumption Standards is intended to compensate for the lack of door openings and other heat loads. Recently published results by Meier and Jansky (1993) indicate labeled consumption overpredicting typical field consumption by 15%. In-house field studies on conventional models showed labeled consumption overpredicting by about 22%. The Refrigerator-Freezer Technology Assessment (RFTA) test was developed to more accurately predict field consumption. This test has ambient temperature and humidity, door openings, and condensation control set at levels intended to typify Canadian household conditions. It also assesses consumption at exactly defined compartment rating temperatures. Ten conventional and energy-efficient production models were laboratory tested. The RFTA results were about 30% lower than labeled. Similarly, the four innovative refrigerator-freezer models, when field tested, also had an average of 30% lower consumption than labeled. Thus, the results of the limited testing suggest that the RFTA test may be a more accurate predictor of field use. Further testing with a larger sample is recommended. Experimental results also indicated that some innovative models could save up to 50% of the energy consumption compared with similar conventional units. The technologies that contributed to this performance included dual compressors, more efficient compressors and fan motors, off-state refrigerant control valve, fuzzy logic control, and thicker insulation. The larger savings were on limited production models, for which additional production engineering is required for full marketability.

Wong, M.T.; Howell, B.T.; Jones, W.R. [Ontario Hydro Technologies, Toronto, Ontario (Canada); Long, D.L. [Statistical Solutions, Mississauga, Ontario (Canada)

1995-12-31T23:59:59.000Z

100

Pump apparatus including deconsolidator  

DOE Patents [OSTI]

A pump apparatus includes a particulate pump that defines a passage that extends from an inlet to an outlet. A duct is in flow communication with the outlet. The duct includes a deconsolidator configured to fragment particle agglomerates received from the passage.

Sonwane, Chandrashekhar; Saunders, Timothy; Fitzsimmons, Mark Andrew

2014-10-07T23:59:59.000Z

Note: This page contains sample records for the topic "activities including consumption" 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

US ENC IL Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

IL IL Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC IL Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC IL Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC IL Expenditures dollars ELECTRICITY ONLY average per household * Illinois households use 129 million Btu of energy per home, 44% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Illinois households spending 2% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

102

Fuel Consumption | ornl.gov  

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

Fuel Consumption, CO2 Emissions, And A Simple Connection To the Vehicle Fuel Consumption, CO2 Emissions, And A Simple Connection To the Vehicle Road Load Equation Jan 15 2014 11:30 AM - 12:30 PM Glen E. Johnson Tennessee Tech University, Cookeville Energy and Transportation Science Division Seminar National Transportation Research Center, Room C-04 CONTACT : Email: Andreas Malikopoulos Phone:865.382.7827 Add to Calendar SHARE Ambitious goals have been set to reduce fuel consumption and CO2 emissions over the next generation. Starting from first principles, we will derive relations to connect fuel consumption and carbon dioxide emissions to a vehicle's road load equation. The model suggests approaches to facilitate achievement of future fuel and emissions targets. About the speaker: Dr. Johnson is a 1973 Mechanical Engineering graduate of Worcester

103

Household Vehicles Energy Consumption 1991  

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

. . Vehicle Fuel Efficiency and Consumption Fuel consumption is estimated from RTECS data on the vehicle stock (Chapter 2) and miles traveled (Chapter 3), in combination with vehicle fuel efficiency ratings, adjusted to account for individual driving circumstances. The first two sections of this chapter present estimates of household vehicle fuel efficiency and household fuel consumption calculated from these fuel efficiency estimates. These sections also discuss variations in fuel efficiency and consumption based on differences in household and vehicle characteristics. The third section presents EIA estimates of the potential savings from replacing the oldest (and least fuel-efficient) household vehicles with new (and more fuel-efficient) vehicles. The final section of this chapter focuses on households receiving (or eligible to receive) supplemental income under

104

US ENC IL Site Consumption  

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

IL IL Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC IL Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC IL Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC IL Expenditures dollars ELECTRICITY ONLY average per household * Illinois households use 129 million Btu of energy per home, 44% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Illinois households spending 2% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

105

US ENC MI Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

MI MI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC MI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC MI Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC MI Expenditures dollars ELECTRICITY ONLY average per household * Michigan households use 123 million Btu of energy per home, 38% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Michigan households spending 6% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

106

US ENC MI Site Consumption  

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

MI MI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC MI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC MI Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC MI Expenditures dollars ELECTRICITY ONLY average per household * Michigan households use 123 million Btu of energy per home, 38% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Michigan households spending 6% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

107

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

17 17 Table C12. Total Energy Consumption, Gross Domestic Product (GDP), Energy Consumption per Real Dollar of GDP, Ranked by State, 2011 Rank Total Energy Consumption Gross Domestic Product (GDP) Energy Consumption per Real Dollar of GDP State Trillion Btu State Billion Chained (2005) Dollars State Thousand Btu per Chained (2005) Dollar 1 Texas 12,206.6 California 1,735.4 Louisiana 19.7 2 California 7,858.4 Texas 1,149.9 Wyoming 17.5 3 Florida 4,217.1 New York 1,016.4 North Dakota 15.4 4 Louisiana 4,055.3 Florida 661.1 Alaska 14.3 5 Illinois 3,977.8 Illinois 582.1 Mississippi 13.8 6 Ohio 3,827.6 Pennsylvania 500.4 Kentucky 13.5

108

Energy Consumption in Access Networks  

Science Journals Connector (OSTI)

We present a comparison of energy consumption of access networks. We consider passive optical networks, fiber to the node, point-to-point optical systems and WiMAX. Optical access...

Baliga, Jayant; Ayre, Robert; Sorin, Wayne V; Hinton, Kerry; Tucker, Rodney S

109

The Wealth-Consumption Ratio  

E-Print Network [OSTI]

We derive new estimates of total wealth, the returns on total wealth, and the wealth effect on consumption. We estimate the prices of aggregate risk from bond yields and stock returns using a no-arbitrage model. Using these ...

Verdelhan, Adrien Frederic

110

Progressive consumption : strategic sustainable excess  

E-Print Network [OSTI]

Trends in the marketplace show that urban dwellers are increasingly supporting locally produced foods. This thesis argues for an architecture that responds to our cultures consumptive behaviors. Addressing the effects of ...

Bonham, Daniel J. (Daniel Joseph MacLeod)

2007-01-01T23:59:59.000Z

111

Energy consumption of building 39  

E-Print Network [OSTI]

The MIT community has embarked on an initiative to the reduce energy consumption and in accordance with the Kyoto Protocol. This thesis seeks to further expand our understanding of how the MIT campus consumes energy and ...

Hopeman, Lisa Maria

2007-01-01T23:59:59.000Z

112

Energy Consumption Profile for Energy  

E-Print Network [OSTI]

317 Chapter 12 Energy Consumption Profile for Energy Harvested WSNs T. V. Prabhakar, R Venkatesha.............................................................................................318 12.2 Energy Harvesting ...................................................................................318 12.2.1 Motivations for Energy Harvesting...............................................319 12

Langendoen, Koen

113

Manufacturing Consumption of Energy 1994  

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

S Y M n i 1 y 2 i (W i ) (W i 1) , Energy Information Administration, Manufacturing Energy Consumption Survey: Methodological Report 1985. Although this report describes 44...

114

Asset Pricing with Countercyclical Household Consumption Risk  

E-Print Network [OSTI]

1 Asset Pricing with Countercyclical Household Consumption Risk George M. Constantinides that shocks to household consumption growth are negatively skewed, persistent, and countercyclical and play that drives the conditional cross-sectional moments of household consumption growth. The estimated model

Sadeh, Norman M.

115

Optimal consumption strategies under model uncertainty  

E-Print Network [OSTI]

Optimal consumption strategies under model uncertainty Christian Burgert, Ludger R of finding optimal consumption strategies in an incomplete semimartingale market model under model uncertainty. The quality of a consumption strategy is measured by not only one probability measure

Rüschendorf, Ludger

116

OpenEI - Electricity Consumption  

Open Energy Info (EERE)

Annual Electricity Annual Electricity Consumption (1980 - 2009) http://en.openei.org/datasets/node/877 Total annual electricity consumption by country, 1980 to 2009 (billion kilowatthours). Compiled by Energy Information Administration (EIA). License

Type of License:  Other (please specify below)
Source of data

117

Manufacturing consumption of energy 1991  

SciTech Connect (OSTI)

This report provides estimates on energy consumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing Energy Consumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

Not Available

1994-12-01T23:59:59.000Z

118

Commercial Buildings Energy Consumption and Expenditures 1992...  

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

1992 Consumption and Expenditures 1992 Consumption & Expenditures Overview Full Report Tables National estimates of electricity, natural gas, fuel oil, and district heat...

119

Demonstrating Fuel Consumption and Emissions Reductions with...  

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

Fuel Consumption and Emissions Reductions with Next Generation Model-Based Diesel Engine Control Demonstrating Fuel Consumption and Emissions Reductions with Next Generation...

120

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

Energy Savers [EERE]

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

Note: This page contains sample records for the topic "activities including consumption" 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

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

8A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

122

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

2A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

123

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

0A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

124

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

7A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

125

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Table C22. Electricity Consumption and Conditional Energy Intensity by Year Constructed for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace...

126

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

127

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

5A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

128

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of...

129

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

130

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

131

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of...

132

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet)...

133

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

0. Consumption and Gross Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square...

134

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

9A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

135

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of...

136

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

137

Energy Information Administration - Transportation Energy Consumption...  

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

Energy Consumption Transportation Energy Consumption Surveys energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the...

138

Reducing water freshwater consumption at coal-fired power plants : approaches used outside the United States.  

SciTech Connect (OSTI)

Coal-fired power plants consume huge quantities of water, and in some water-stressed areas, power plants compete with other users for limited supplies. Extensive use of coal to generate electricity is projected to continue for many years. Faced with increasing power demands and questionable future supplies, industries and governments are seeking ways to reduce freshwater consumption at coal-fired power plants. As the United States investigates various freshwater savings approaches (e.g., the use of alternative water sources), other countries are also researching and implementing approaches to address similar - and in many cases, more challenging - water supply and demand issues. Information about these non-U.S. approaches can be used to help direct near- and mid-term water-consumption research and development (R&D) activities in the United States. This report summarizes the research, development, and deployment (RD&D) status of several approaches used for reducing freshwater consumption by coal-fired power plants in other countries, many of which could be applied, or applied more aggressively, at coal-fired power plants in the United States. Information contained in this report is derived from literature and Internet searches, in some cases supplemented by communication with the researchers, authors, or equipment providers. Because there are few technical, peer-reviewed articles on this topic, much of the information in this report comes from the trade press and other non-peer-reviewed references. Reducing freshwater consumption at coal-fired power plants can occur directly or indirectly. Direct approaches are aimed specifically at reducing water consumption, and they include dry cooling, dry bottom ash handling, low-water-consuming emissions-control technologies, water metering and monitoring, reclaiming water from in-plant operations (e.g., recovery of cooling tower water for boiler makeup water, reclaiming water from flue gas desulfurization [FGD] systems), and desalination. Some of the direct approaches, such as dry air cooling, desalination, and recovery of cooling tower water for boiler makeup water, are costly and are deployed primarily in countries with severe water shortages, such as China, Australia, and South Africa. Table 1 shows drivers and approaches for reducing freshwater consumption in several countries outside the United States. Indirect approaches reduce water consumption while meeting other objectives, such as improving plant efficiency. Plants with higher efficiencies use less energy to produce electricity, and because the greater the energy production, the greater the cooling water needs, increased efficiency will help reduce water consumption. Approaches for improving efficiency (and for indirectly reducing water consumption) include increasing the operating steam parameters (temperature and pressure); using more efficient coal-fired technologies such as cogeneration, IGCC, and direct firing of gas turbines with coal; replacing or retrofitting existing inefficient plants to make them more efficient; installing high-performance monitoring and process controls; and coal drying. The motivations for increasing power plant efficiency outside the United States (and indirectly reducing water consumption) include the following: (1) countries that agreed to reduce carbon emissions (by ratifying the Kyoto protocol) find that one of the most effective ways to do so is to improve plant efficiency; (2) countries that import fuel (e.g., Japan) need highly efficient plants to compensate for higher coal costs; (3) countries with particularly large and growing energy demands, such as China and India, need large, efficient plants; (4) countries with large supplies of low-rank coals, such as Germany, need efficient processes to use such low-energy coals. Some countries have policies that encourage or mandate reduced water consumption - either directly or indirectly. For example, the European Union encourages increased efficiency through its cogeneration directive, which requires member states to assess their

Elcock, D. (Environmental Science Division)

2011-05-09T23:59:59.000Z

139

Delivered Energy Consumption Projections by Industry in the Annual Energy Outlook 2002  

Reports and Publications (EIA)

This paper presents delivered energy consumption and intensity projections for the industries included in the industrial sector of the National Energy Modeling System.

2002-01-01T23:59:59.000Z

140

Assessing the Environmental Impacts of Freshwater Consumption in LCA  

Science Journals Connector (OSTI)

Assessing the Environmental Impacts of Freshwater Consumption in LCA ... Therefore, the consideration of water consumption is crucial in life-cycle assessment (LCA) studies that include water-intensive products, such as agricultural goods. ... Despite the relevance of freshwater to human health and ecosystem quality, the life cycle assessment (LCA) methodology is lacking comprehensive approaches to evaluate the environmental impacts associated with water use (e.g., ref 2). ...

Stephan Pfister; Annette Koehler; Stefanie Hellweg

2009-04-23T23:59:59.000Z

Note: This page contains sample records for the topic "activities including consumption" 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

Italy (including San Marino) Fossil-Fuel CO2 Emissions  

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

Western Europe » Italy Western Europe » Italy (including San Marino) Italy (including San Marino) Fossil-Fuel CO2 Emissions Graph graphic Graphics Data graphic Data Trends As occurred in many industrialized nations, CO2 emissions from Italy rose steeply since the late 1940's until the growth was abruptly terminated in 1974. Since 1974, emissions from liquid fuels have vacillated, dropping from 76% to 46% of a static but varying total. Significant increases in natural gas consumption have compensated for the drop in oil consumption. In 2008, 35.8% of Italy's fossil-fuel CO2 emissions were due to natural gas consumption. Coal usage grew steadily until 1985 when CO2 emissions from coal consumption reached 16 million metric tons of carbon. Not until 2004 did coal usage exceed 1985 levels and now accounts for 13.9% of Italy's

142

The Impact of Using Derived Fuel Consumption Maps to Predict...  

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

The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption Poster presented at the...

143

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

1A. Electricity Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003 1A. Electricity Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet All Buildings ................................ 201 412 431 13,124 31,858 25,200 15.3 12.9 17.1 Principal Building Activity Education ....................................... 9 55 45 806 5,378 3,687 11.1 10.2 12.2 Food Sales ..................................... 36 24 Q 747 467 Q 48.8 51.1 Q

144

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

1A. Natural Gas Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003 1A. Natural Gas Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet All Buildings ................................ 467 882 688 7,144 21,928 19,401 65.4 40.2 35.5 Principal Building Activity Education ....................................... Q 137 101 419 3,629 2,997 53.9 37.6 33.7 Food Sales ..................................... 16 Q Q 339 Q Q 46.6 Q Q

145

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for All Buildings, 2003 A. Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet All Buildings ............................... 1,248 2,553 2,721 13,955 32,332 25,371 89.4 79.0 107.3 Principal Building Activity Education ...................................... 63 423 334 808 5,378 3,687 78.3 78.6 90.7 Food Sales ................................... 144 Q Q 765 467 Q 188.5 Q Q

146

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for Non-Mall Buildings, 2003 . Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet All Buildings* ............................. 1,188 2,208 2,425 13,374 29,260 22,149 88.8 75.5 109.5 Principal Building Activity Education ...................................... 63 423 334 808 5,378 3,687 78.3 78.6 90.7

147

Geothermal Water Use: Life Cycle Water Consumption, Water Resource Assessment, and Water Policy Framework  

SciTech Connect (OSTI)

This report examines life cycle water consumption for various geothermal technologies to better understand factors that affect water consumption across the life cycle (e.g., power plant cooling, belowground fluid losses) and to assess the potential water challenges that future geothermal power generation projects may face. Previous reports in this series quantified the life cycle freshwater requirements of geothermal power-generating systems, explored operational and environmental concerns related to the geochemical composition of geothermal fluids, and assessed future water demand by geothermal power plants according to growth projections for the industry. This report seeks to extend those analyses by including EGS flash, both as part of the life cycle analysis and water resource assessment. A regional water resource assessment based upon the life cycle results is also presented. Finally, the legal framework of water with respect to geothermal resources in the states with active geothermal development is also analyzed.

Schroeder, Jenna N.

2014-06-10T23:59:59.000Z

148

DOE/EIA-0193/P PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY  

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

193/P 193/P PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY OFFICE OF THE CONSUMPTION DATA SYSTEM OFFICE OF PROGRAM DEVELOPMENT ENERGY INFORMATION ADMINISTRATION AUGUST 1, 1979 PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY Attached is the first report of the Office of the Consumption Data System, Office of Program Development, Energy Information Administration, presenting preliminary data from the National Interim Energy Consumption Survey (NIECS). The focus of this report is the conservation activities performed by households since January 1977, and the status of households with respect to insulation, storm windows, and other energy conserving characteristics. These tables are from preliminary data files.

149

Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -  

Gasoline and Diesel Fuel Update (EIA)

Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Use and the Energy Intensity of Manufacturing Activity between 2002 and 2010 MECS 2010 - Release date: March 19, 2013 Total energy consumption in the manufacturing sector decreased by 17 percent from 2002 to 2010 (Figure 1), according to data from the U.S. Energy Information Administration's (EIA) Manufacturing Energy Consumption Survey (MECS). line chart:air conditioning in U.S. Manufacturing gross output decreased by only 3 percent over the same period. Taken together, these data indicate a significant decline in the amount of energy used per unit of gross manufacturing output. The significant decline in energy intensity reflects both improvements in energy efficiency and changes in

150

Today in Energy - commercial consumption & efficiency  

Reports and Publications (EIA)

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

2028-01-01T23:59:59.000Z

151

US ENC WI Site Consumption  

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

120 120 US ENC WI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC WI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC WI Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US ENC WI Expenditures dollars ELECTRICITY ONLY average per household * Wisconsin households use 103 million Btu of energy per home, 15% more than the U.S. average. * Lower electricity and natural gas rates compared to states with a similar climate, such as New York, result in households spending 5% less for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S.

152

US ENC WI Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

120 120 US ENC WI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC WI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC WI Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US ENC WI Expenditures dollars ELECTRICITY ONLY average per household * Wisconsin households use 103 million Btu of energy per home, 15% more than the U.S. average. * Lower electricity and natural gas rates compared to states with a similar climate, such as New York, result in households spending 5% less for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S.

153

US WSC TX Site Consumption  

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

WSC TX WSC TX Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WSC TX Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US WSC TX Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US WSC TX Expenditures dollars ELECTRICITY ONLY average per household * Texas households consume an average of 77 million Btu per year, about 14% less than the U.S. average. * Average electricity consumption per Texas home is 26% higher than the national average, but similar to the amount used in neighboring states. * The average annual electricity cost per Texas household is $1,801, among the highest in the nation, although similar to other warm weather states like Florida. * Texas homes are typically newer, yet smaller in size, than homes in other parts of

154

US WSC TX Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

WSC TX WSC TX Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WSC TX Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US WSC TX Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US WSC TX Expenditures dollars ELECTRICITY ONLY average per household * Texas households consume an average of 77 million Btu per year, about 14% less than the U.S. average. * Average electricity consumption per Texas home is 26% higher than the national average, but similar to the amount used in neighboring states. * The average annual electricity cost per Texas household is $1,801, among the highest in the nation, although similar to other warm weather states like Florida. * Texas homes are typically newer, yet smaller in size, than homes in other parts of

155

US ESC TN Site Consumption  

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

ESC TN ESC TN Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ESC TN Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US ESC TN Site Consumption kilowatthours $0 $400 $800 $1,200 $1,600 US ESC TN Expenditures dollars ELECTRICITY ONLY average per household * Tennessee households consume an average of 79 million Btu per year, about 12% less than the U.S. average. * Average electricity consumption for Tennessee households is 33% higher than the national average and among the highest in the nation, but spending for electricity is closer to average due to relatively low electricity prices. * Tennessee homes are typically newer, yet smaller in size, than homes in other parts of the country.

156

New Zealand Energy Data: Electricity Demand and Consumption | OpenEI  

Open Energy Info (EERE)

Electricity Demand and Consumption Electricity Demand and Consumption Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). The sectors included are: agriculture, forestry and fishing; industrial (mining, food processing, wood and paper, chemicals, basic metals, other minor sectors); commercial; and residential. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago)

157

Robust electricity consumption modeling of Turkey using Singular Value Decomposition  

Science Journals Connector (OSTI)

Abstract Multivariable regression method is used to model Turkey’s electricity consumption through a nonlinear relationship. Electricity consumption is modeled as a function of four demographic and economic indicators such as, population, gross domestic product per capita, imports and exports. The second order model includes 15 coefficients for bias, first degree terms and second degree terms. Data preprocessing is applied to transform all variables to have zero mean and percent relative variance. Singular Value Decomposition is applied to reduce the dimensionality of the problem and to provide robustness to the estimations. Variance and covariance information in the data set is used to determine the number of important dimensions in the data. Electricity consumption of Turkey is modeled using annual data from 1970 to 2011. The results show that electricity consumption can be robustly modeled using Singular Value Decomposition.

Kadir Kavaklioglu

2014-01-01T23:59:59.000Z

158

Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Estimation of Energy End-use Consumption Estimation of Energy End-use Consumption 2003 CBECS The energy end-use consumption tables for 2003 (Detailed Tables E1-E11 and E1A-E11A) provide estimates of the amount of electricity, natural gas, fuel oil, and district heat used for ten end uses: space heating, cooling, ventilation, water heating, lighting, cooking, refrigeration, personal computers, office equipment (including servers), and other uses. Although details vary by energy source (Table 1), there are four basic steps in the end-use estimation process: Regressions of monthly consumption on degree-days to establish reference temperatures for the engineering models, Engineering modeling by end use, Cross-sectional regressions to calibrate the engineering estimates and account for additional energy uses, and

159

Fuel consumption model for FREFLO  

E-Print Network [OSTI]

above, Biggs and Akcelik (1985) proposed a model of the following form: f = fsito + &Pr + z[apr)o o (5) where, Po = total drag power P, = inertia power a = instantaneous acceleration 8, = fuel consumption per unit power 8, = fuel consumption per... that is additional to S, P, . This component is expressed as SzaP, , where &z is considered to be a secondary efficiency parameter that relates fuel to the product of inertia power and acceleration rate, for positive accelerations. This term allows for the effects...

Rao, Kethireddipalli Srinivas

1992-01-01T23:59:59.000Z

160

US NE MA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

NE MA NE MA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US NE MA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US NE MA Expenditures dollars ELECTRICITY ONLY average per household * Massachusetts households use 109 million Btu of energy per home, 22% more than the U.S. average. * The higher than average site consumption results in households spending 22% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S. However, spending on electricity is closer to the national average due to higher

Note: This page contains sample records for the topic "activities including consumption" 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

Rail Transit and Energy Consumption  

Science Journals Connector (OSTI)

...Transit and Energy Consumption In a recent issue...D.C. 20418 The Diesel's Advantages It...p. 517). The diesel car, while it has...Other types of engine can be made to meet...catalysts by using leaded fuel because it is 3 to...politically unpopular. The diesel car requires no add-on...

CHARLES A. LAVE

1977-09-02T23:59:59.000Z

162

US NE MA Site Consumption  

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

NE MA NE MA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US NE MA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US NE MA Expenditures dollars ELECTRICITY ONLY average per household * Massachusetts households use 109 million Btu of energy per home, 22% more than the U.S. average. * The higher than average site consumption results in households spending 22% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S. However, spending on electricity is closer to the national average due to higher

163

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network [OSTI]

Video game console usage and national energy consumption:data, consoles with non-zero usage are actively used (forthat this estimate of active usage is far lower than our

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

164

A Case-Control Study of Colorectal Adenomatous Polyps and Consumption of Foods Containing Partially Hydrogenated Oils  

Science Journals Connector (OSTI)

...Nationwide Food Consumption Survey (13) for...activity, alcohol consumption, lifetime smoking...administered an average of 5 months after...quantified using daily energy intake so that estimated...in cooking, so consumption of brands containing...distinguished between home-baked and ready-made...

Wendy McKelvey; Sander Greenland; Miao-Jung Chen; Matthew P. Longnecker; Harold D. Frankl; Eric R. Lee; and Robert W. Haile

1999-06-01T23:59:59.000Z

165

Household Vehicles Energy Consumption 1991  

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

3. 3. Vehicle Miles Traveled This chapter presents information on household vehicle usage, as measured by the number of vehicle miles traveled (VMT). VMT is one of the two most important components used in estimating household vehicle fuel consumption. (The other, fuel efficiency, is discussed in Chapter 4). In addition, this chapter examines differences in driving behavior based on the characteristics of the household and the type of vehicle driven. Trends in household driving patterns are also examined using additional information from the Department of Transportation's Nationwide Personal Transportation Survey (NPTS). Household VMT is a measure of the demand for personal transportation. Demand for transportation may be viewed from either an economic or a social perspective. From the economic point-of-view, the use of a household vehicle represents the consumption of one

166

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

6 6 State Energy Data 2011: Consumption Table C11. Energy Consumption by Source, Ranked by State, 2011 Rank Coal Natural Gas a Petroleum b Retail Electricity Sales State Trillion Btu State Trillion Btu State Trillion Btu State Trillion Btu 1 Texas 1,695.2 Texas 3,756.9 Texas 5,934.3 Texas 1,283.1 2 Indiana 1,333.4 California 2,196.6 California 3,511.4 California 893.7 3 Ohio 1,222.6 Louisiana 1,502.9 Louisiana 1,925.7 Florida 768.0 4 Pennsylvania 1,213.0 New York 1,246.9 Florida 1,680.3 Ohio 528.0 5 Illinois 1,052.2 Florida 1,236.6 New York 1,304.0 Pennsylvania 507.6 6 Kentucky 1,010.6 Pennsylvania 998.6 Pennsylvania 1,255.6 New York 491.5

167

Household Vehicles Energy Consumption 1991  

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

Detailed Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1991 Residential Transportation Energy Consumption Survey. The "Glossary" contains the definitions of terms used in the tables. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle miles traveled (VMT) or gallons consumed; (2) Tables of per household statistics such as VMT per household; and (3) Tables of per vehicle statistics such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model year data, or family income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table. Row and Column Factors These tables present estimates

168

US WNC MO Site Consumption  

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

WNC MO WNC MO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WNC MO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US WNC MO Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US WNC MO Expenditures dollars ELECTRICITY ONLY average per household * Missouri households consume an average of 100 million Btu per year, 12% more than the U.S. average. * Average household energy costs in Missouri are slightly less than the national average, primarily due to historically lower residential electricity prices in the state. * Missouri homes are typically larger than homes in other states and are more likely to be attached or detached single-family housing units.

169

Manufacturing Consumption of Energy 1994  

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

2(94) 2(94) Distribution Category UC-950 Manufacturing Consumption of Energy 1994 December 1997 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. ii Energy Information Administration/Manufacturing Consumption of Energy 1994 Contacts This publication was prepared by the Energy Information Administration (EIA) under the general direction of W. Calvin

170

Manufacturing Consumption of Energy 1994  

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

E E U.S. Census Regions and Divisions 489 Energy Information Administration/Manufacturing Consumption of Energy 1994 Source: U.S. Department of Commerce, Bureau of the Census, Statistical Abstract of the United States,1996 (Washington, DC, October 1996), Figure 1. Appendix E U.S. Census Regions and Divisions Appendix F Descriptions of Major Industrial Groups and Selected Industries Executive Office of the President, Office of Management and Budget, Standard Industrial Classification Manual, 1987, pp. 67-263. 54 493 Energy Information Administration/Manufacturing Consumption of Energy 1994 Appendix F Descriptions of Major Industrial Groups and Selected Industries This appendix contains descriptions of industrial groups and selected industries taken from the Standard Industrial

171

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

4) 4) June 2007 State Energy Consumption Estimates 1960 Through 2004 2004 Consumption Summary Tables Table S1. Energy Consumption Estimates by Source and End-Use Sector, 2004 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Coal Natural Gas c Petroleum Nuclear Electric Power Hydro- electric Power d Biomass e Other f Net Interstate Flow of Electricity/Losses g Residential Commercial Industrial b Transportation Alabama 2,159.7 853.9 404.0 638.5 329.9 106.5 185.0 0.1 -358.2 393.7 270.2 1,001.1 494.7 Alaska 779.1 14.1 411.8 334.8 0.0 15.0 3.3 0.1 0.0 56.4 63.4 393.4 266.0 Arizona 1,436.6 425.4 354.9 562.8 293.1 69.9 8.7 3.6 -281.7 368.5 326.0 231.2 511.0 Arkansas 1,135.9 270.2 228.9 388.3 161.1 36.5 76.0 0.6 -25.7 218.3 154.7 473.9 288.9 California 8,364.6 68.9 2,474.2 3,787.8 315.6 342.2

172

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

9) 9) June 2011 State Energy Consumption Estimates 1960 Through 2009 2009 Consumption Summary Tables Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2009 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity/ Losses f Net Electricity Imports Residential Commercial Industrial b Transportation Coal Natural Gas c Petroleum d Total Alabama 1,906.8 631.0 473.9 583.9 1,688.8 415.4 272.9 -470.3 0.0 383.2 266.0 788.5 469.2 Alaska 630.4 14.5 344.0 255.7 614.1 0.0 16.3 0.0 (s) 53.4 61.0 325.4 190.6 Arizona 1,454.3 413.3 376.7 520.8 1,310.8 320.7 103.5 -279.9 -0.8 400.8 352.1 207.8 493.6 Arkansas 1,054.8 264.1 248.1 343.1 855.3 158.7 126.5 -85.7 0.0 226.3 167.0 372.5

173

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

3. Energy Consumption per Capita by End-Use Sector, Ranked by State, 2011 3. Energy Consumption per Capita by End-Use Sector, Ranked by State, 2011 Rank Residential Sector Commercial Sector Industrial Sector Transportation Sector Total Consumption State Million Btu State Million Btu State Million Btu State Million Btu State Million Btu 1 North Dakota 99.8 District of Columbia 193.1 Louisiana 585.8 Alaska 277.3 Wyoming 974.7 2 West Virginia 90.9 Wyoming 119.2 Wyoming 568.2 Wyoming 200.7 Louisiana 886.5 3 Missouri 89.4 North Dakota 106.9 Alaska 435.7 North Dakota 172.8 Alaska 881.3 4 Tennessee 87.8 Alaska 94.1 North Dakota 388.9 Louisiana 158.0 North Dakota 768.4 5 Kentucky 87.4 Montana 78.4 Iowa 243.4 Oklahoma 122.3 Iowa 493.6

174

Essays on aggregate and individual consumption fluctuations  

E-Print Network [OSTI]

This thesis consists of three essays on aggregate and individual consumption fluctuations. Chapter 1 develops a quantitative model to explore aggregate and individual consumption dynamics when the income process exhibits ...

Hwang, Youngjin

2006-01-01T23:59:59.000Z

175

Reduced Energy Consumption for Melting in Foundries  

E-Print Network [OSTI]

Reduced Energy Consumption for Melting in Foundries Ph.D. Thesis by Søren Skov-Hansen Supervisor-melted, and hence reduce the energy consumption for melting in foundries. Traditional gating systems are known

176

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

A. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings...

177

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

C3. Consumption and Gross Energy Intensity for Sum of Major Fuels for Non-Mall Buildings, 2003 All Buildings* Sum of Major Fuel Consumption Number of Buildings (thousand)...

178

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

C7A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 1 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace...

179

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

180

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 3 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

Note: This page contains sample records for the topic "activities including consumption" 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

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

182

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

C3A. Consumption and Gross Energy Intensity for Sum of Major Fuels for All Buildings, 2003 All Buildings Sum of Major Fuel Consumption Number of Buildings (thousand) Floorspace...

183

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Table C8A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 2 Sum of Major Fuel Consumption (trillion Btu) Total...

184

Quantitative modelling of electricity consumption using computational intelligence aided design  

Science Journals Connector (OSTI)

Abstract High electricity consumption is of concern to the world for a variety of reasons, including its social-economic-environmental coupled impacts on well-being of individuals, social life and the federal energy policies. This paper proposes a quantitative model to examine the long-term relationship between annual electricity consumption and its major macroeconomic variables, including gross domestic product, electricity price, efficiency, economic structure, and carbon dioxide emission, using computational intelligence aided design (CIAD). It develops a firefly algorithm with variable population (FAVP) to obtain the parameters of the electricity consumption model through optimising two proposed trend indices: moving mean of the average precision (mmAP) and moving mean of standard derivation (mmSTD). The model is validated with empirical electricity consumption data in China between 1980 and 2012, based on which the error of approximations between 1980 and 2009 is ±15% and the error of predictions between 2010 and 2012 is [?8%, ?5%]. The main contributions of this research are to develop: (1) a novel quantitative model that can accurately predict the social, economic and environmental coupled impacts on the annual electricity demands; (2) the conceptual CIAD framework; (3) FAVP algorithm; and (4) two new trend indices of mmAP and mmSTD. The findings of this research can assist the decision makers in resolving the conflict between energy consumption growth and carbon emission reduction without dooming the economic prosperity in the long run.

Yi Chen; Guangfeng Zhang; Tongdan Jin; Shaomin Wu; Bei Peng

2014-01-01T23:59:59.000Z

185

FISH CONSUMPTION, METHYLMERCURY, AND HUMAN HEART DISEASE.  

SciTech Connect (OSTI)

Environmental mercury continues to be of concern to public health advocates, both in the U.S. and abroad, and new research continues to be published. A recent analysis of potential health benefits of reduced mercury emissions has opened a new area of public health concern: adverse effects on the cardiovascular system, which could account for the bulk of the potential economic benefits. The authors were careful to include caveats about the uncertainties of such impacts, but they cited only a fraction of the applicable health effects literature. That literature includes studies of the potentially harmful ingredient (methylmercury, MeHg) in fish, as well as of a beneficial ingredient, omega-3 fatty acids or ''fish oils''. The U.S. Food and Drug Administration (FDA) recently certified that some of these fat compounds that are primarily found in fish ''may be beneficial in reducing coronary heart disease''. This paper briefly summarizes and categorizes the extensive literature on both adverse and beneficial links between fish consumption and cardiovascular health, which are typically based on studies of selected groups of individuals (cohorts). Such studies tend to comprise the ''gold standard'' of epidemiology, but cohorts tend to exhibit a great deal of variability, in part because of the limited numbers of individuals involved and in part because of interactions with other dietary and lifestyle considerations. Note that eating fish will involve exposure to both the beneficial effects of fatty acids and the potentially harmful effects of contaminants like Hg or PCBs, all of which depend on the type of fish but tend to be correlated within a population. As a group, the cohort studies show that eating fish tends to reduce mortality, especially due to heart disease, for consumption rates up to about twice weekly, above which the benefits tend to level off. A Finnish cohort study showed increased mortality risks in the highest fish-consuming group ({approx}3 times/wk), which had mercury exposures (mean hair content of 3.9 ppm) much higher than those seen in the United States. As an adjunct to this cursory review, we also present some new ''ecological'' analyses based on international statistics on hair Hg, fish consumption, other dietary and lifestyle factors, and selected cardiovascular health endpoints. We searched for consistent differences between primarily fish-consuming nations, like Japan or the Seychelles, and others who traditionally eat much less fish , such as in central Europe, for example. We use data on cigarette sales, smoking prevalence surveys, and national lung cancer mortality rates to control for the effects of smoking on heart disease. These ecological analyses do not find significant adverse associations of either fish consumption or hair Hg with cardiovascular health; instead, there is a consistent trend towards beneficial effects, some of which are statistically significant. However, such ecological studies cannot distinguish differences due to variations in individual rates of fish consumption. We conclude that the extant epidemiological evidence does not support the existence of significant heart disease risks associated with mercury in fish, for the United States. The most prudent advice would continue to be that of maintaining a well-balanced diet, including fish or shellfish at least once per week. There may be additional benefits from fatty fish.

LIPFERT, F.W.; SULLIVAN, T.M.

2005-09-21T23:59:59.000Z

186

Ethanol Consumption by Rat Dams During Gestation,  

E-Print Network [OSTI]

Ethanol Consumption by Rat Dams During Gestation, Lactation and Weaning Increases Ethanol examined effects of ethanol consumption in rat dams during gestation, lactation, and weaning on voluntary ethanol consumption by their adolescent young. We found that exposure to an ethanol-ingesting dam

Galef Jr., Bennett G.

187

Mathematical models of natural gas consumption  

E-Print Network [OSTI]

Mathematical models of natural gas consumption Kristian Sabo, Rudolf Scitovski, Ivan of natural gas consumption Kristian Sabo, Rudolf Scitovski, Ivan Vazler , Marijana Zeki-Susac ksabo of natural gas consumption hourly fore- cast on the basis of hourly movement of temperature and natural gas

Scitovski, Rudolf

188

Consumption Oriented Free Capitalism Qiudong Wang  

E-Print Network [OSTI]

Consumption Oriented Free Capitalism Qiudong Wang An economic system is a framework, under which people are organized to produce consumption-goods and to consume the produced. Concerning economic of consumption, which in turn not only hindered further improvement of overall productivity, but also threatened

Wang, Quidong

189

STATE OF CALIFORNIA FAN POWER CONSUMPTION  

E-Print Network [OSTI]

STATE OF CALIFORNIA FAN POWER CONSUMPTION CEC-MECH-4C (Revised 08/09) CALIFORNIA ENERGY COMMISSION FAN POWER CONSUMPTION MECH-4C PROJECT NAME: DATE: NOTE: Provide one copy of this worksheet for each Systems or Variable Air Volume (VAV) Systems when using the Prescriptive Approach. See Power Consumption

190

Hard Drive Power Consumption Uncovered Computer Laboratory  

E-Print Network [OSTI]

Hard Drive Power Consumption Uncovered Computer Laboratory Digital Technology Group Anthony Hylick, Andrew Rice, Brian Jones, Ripduman Sohan Motivation Attempts to reduce power consumption have mainly of power consumption and identify the need for a more expressive API between the OS and hardware devices

Cambridge, University of

191

The food consumption of the world's seabirds  

Science Journals Connector (OSTI)

...May 2004 research-article The food consumption of the world's seabirds M. de L...provisional estimate of their annual food consumption. Knowing the body mass and energy density...equations to estimate daily and hence annual consumption of a seabird. Using this approach...

2004-01-01T23:59:59.000Z

192

The service economy: ‘wealth without resource consumption’?  

Science Journals Connector (OSTI)

...service economy: wealth without resource consumption? W. R. Stahel The Product-Life...with regard to its per capita material consumption in the industrialized countries. A...economy: `wealth without resource consumption'? B y W. R. Stahel The Product-Life...

1997-01-01T23:59:59.000Z

193

EXPONENTIAL UTILITY WITH NON-NEGATIVE CONSUMPTION  

E-Print Network [OSTI]

EXPONENTIAL UTILITY WITH NON-NEGATIVE CONSUMPTION ROMAN MURAVIEV AND MARIO V. W¨UTHRICH DEPARTMENT- ponential utility maximization problem, where feasible consumption policies are not permitted to be negative- come reduces the current consumption level, thus confirming the presence of the precautionary savings

Wüthrich, Mario

194

Energy Information Administration (EIA)- Manufacturing Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

Chemical Industry Analysis Brief Change Topic: Steel | Chemical Chemical Industry Analysis Brief Change Topic: Steel | Chemical JUMP TO: Introduction | Energy Consumption | Energy Expenditures | Producer Prices and Production | Energy Intensity | Energy Management Activities | Fuel Switching Capacity Introduction The chemical industries are a cornerstone of the U.S. economy, converting raw materials such as oil, natural gas, air, water, metals, and minerals into thousands of various products. Chemicals are key materials for producing an extensive assortment of consumer goods. They are also crucial materials in creating many resources that are essential inputs to the numerous industries and sectors of the U.S. economy.1 The manufacturing sector is classified by the North American Industry Classification System (NAICS) of which the chemicals sub-sector is NAICS

195

Energy Consumption of Refrigerators in Ghana - Outcomes of Household  

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

Energy Consumption of Refrigerators in Ghana - Outcomes of Household Energy Consumption of Refrigerators in Ghana - Outcomes of Household Surveys Speaker(s): Essel Ben Hagan Date: July 12, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Robert Van Buskirk Galen Barbose As part of activities to develop refrigerator efficiency standards regulations in Ghana, a national survey on the energy consumption of refrigerators and refrigerator-freezers has been conducted. The survey covered 1000 households in urban, peri-urban and rural communities in various parts of the country. The survey found that, on average, refrigerators and refrigerator-freezers in Ghana use almost three times what is allowed by minimum efficiency standards in the U.S., and a few refrigerators had energy use at levels almost ten times the U.S.

196

Appliance Standby Power and Energy Consumption in South African Households  

Open Energy Info (EERE)

Appliance Standby Power and Energy Consumption in South African Households Appliance Standby Power and Energy Consumption in South African Households Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Appliance Standby Power and Energy Consumption in South African Households Focus Area: Appliances & Equipment Topics: Policy Impacts Website: active.cput.ac.za/energy/web/DUE/DOCS/422/Paper%20-%20Shuma-Iwisi%20M. Equivalent URI: cleanenergysolutions.org/content/appliance-standby-power-and-energy-co Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance A modified engineering model is proposed to estimate standby power and energy losses in households. The modified model accounts for the randomness of standby power and energy losses due to unpredicted user appliance operational behavior.

197

DOE/EIA-0321/HRIf Residential Energy Consumption Survey. Consumption  

Gasoline and Diesel Fuel Update (EIA)

/HRIf /HRIf Residential Energy Consumption Survey. Consumption and Expenditures, April 1981 Through March 1982 an Part I: National Data Energy Information Administration Washington, D.C. (202) 20fr02 'O'Q 'uoifkjjUSBM ujiuud juaoiujeAog 'S'n siuawnooQ jo luapuaiuuadns - 0088-292 (202) 98S02 '0'Q 8f 0-d I 6ujp|ing uoiieflSjUjiup v UOIIBUJJOJU | ABjau 3 02-13 'jaiuao UOIJBUJJOJUI XBjaug IBUO!;BN noA pasopua s; uujoi japjo uy 'MO|aq jeadde sjaqoinu auoydajaj PUB sassajppv 'OI3N 9>4i oi papajip aq pinoqs X6jaue uo suotjsenQ '(OIBN) J9»ueo aqjeiMJO^ui ASjaug (BUOIJEN s,vi3 QMi JO OdO 941 UUGJJ peuiBiqo eq ABOI suoijBonqnd (vi3) UO!JBJ;S!UILUPV UOIIBUUJO|U| XBjeug jaiflo PUB SJMJ p ssBiiojnd PUB UOIIBLUJO^JI 6uuepjQ (Od9) 90IWO Bujjuud luetuujaAOQ -g'n 'sjuaiunooa p juapuaiuuedng aqt LUOJI aiqB||BAB si uoHBOjiqnd sjt|i

198

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.5 pounds

199

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.0 pounds

200

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources a significant effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 15

Note: This page contains sample records for the topic "activities including consumption" 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

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.3 pounds

202

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 84 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.3 pounds

203

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

and Low Power Mode Energy Consumption”, Energy Efficiency inEnergy Consumption ..26 3.1.3. 3D TV Energy Consumption and Efficiency

Park, Won Young

2011-01-01T23:59:59.000Z

204

Modelling the impact of user behaviour on heat energy consumption  

E-Print Network [OSTI]

strategies impact on energy consumption in residentialBEHAVIOUR ON HEAT ENERGY CONSUMPTION Nicola Combe 1 ,2 ,nearly 60% of domestic energy consumption and 27% of total

Combe, Nicola Miss; Harrison, David Professor; Way, Celia Miss

2011-01-01T23:59:59.000Z

205

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

a forecast for total energy consumption in network standbyconsiderable impact on total energy consumption from TVs.factors affecting total energy consumption. Although further

Park, Won Young

2011-01-01T23:59:59.000Z

206

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

E. Kahn (2011). Electricity Consumption and Durable Housing:49 3.3.3. Pre-installation electricity consumption of CSIon Electricity Consumption .

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

207

Canada's Fuel Consumption Guide | Open Energy Information  

Open Energy Info (EERE)

Canada's Fuel Consumption Guide Canada's Fuel Consumption Guide Jump to: navigation, search Tool Summary Name: Canada's Fuel Consumption Guide Agency/Company /Organization: Natural Resources Canada Focus Area: Fuels & Efficiency Topics: Analysis Tools Website: oee.nrcan.gc.ca/transportation/tools/fuel-consumption-guide/fuel-consu Natural Resources Canada has compiled fuel consumption ratings for passenger cars and light-duty pickup trucks, vans, and special purpose vehicles sold in Canada. The website links to the Fuel Consumption Guide and allows users to search for vehicles from current and past model years. It also provides information about vehicle maintenance and other practices to reduce fuel consumption. How to Use This Tool This tool is most helpful when using these strategies:

208

Table 5.2 End Uses of Fuel Consumption, 2010;  

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

2 End Uses of Fuel Consumption, 2010; 2 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 14,228 2,437 79 130 5,211 69 868 5,435 Indirect Uses-Boiler Fuel -- 27 46 19 2,134 10 572 -- Conventional Boiler Use -- 27 20 4 733 3 72 -- CHP and/or Cogeneration Process -- 0 26 15 1,401 7 500 -- Direct Uses-Total Process -- 1,912 26 54 2,623 29 289 -- Process Heating -- 297 25 14 2,362 24 280

209

Table 5.1 End Uses of Fuel Consumption, 2010;  

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

5.1 End Uses of Fuel Consumption, 2010; 5.1 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 14,228 714,166 13 22 5,064 18 39 5,435 Indirect Uses-Boiler Fuel -- 7,788 7 3 2,074 3 26 -- Conventional Boiler Use -- 7,788 3 1 712 1 3 -- CHP and/or Cogeneration Process

210

Residential Energy Consumption for Water Heating (2005) | OpenEI  

Open Energy Info (EERE)

for Water Heating (2005) for Water Heating (2005) Dataset Summary Description Provides total and average annual residential energy consumption for water heating in U.S. households in 2005, measured in both physical units and Btus. The data is presented for numerous categories including: Census Region and Climate Zone; Housing Unit Characteristics (type, year of construction, size, income, race, age); and Water Heater and Water-using Appliance Characteristics (size, age, frequency of use, EnergyStar rating). Source EIA Date Released September 01st, 2008 (6 years ago) Date Updated January 01st, 2009 (5 years ago) Keywords Energy Consumption Residential Water Heating Data application/vnd.ms-excel icon 2005_Consumption.for_.Water_.Heating.Phys_.Units_EIA.Sep_.2008.xls (xls, 67.6 KiB)

211

Table 5.7 End Uses of Fuel Consumption, 2010;  

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

7 End Uses of Fuel Consumption, 2010; 7 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 845,727 13 22 5,064 18 39 Indirect Uses-Boiler Fuel 12,979 7 3 2,074 3 26 Conventional Boiler Use 12,979 3 1 712 1 3 CHP and/or Cogeneration Process -- 4 3 1,362 2 23 Direct Uses-Total Process 675,152 4 9 2,549 7 13 Process Heating

212

Table 5.5 End Uses of Fuel Consumption, 2010;  

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

5 End Uses of Fuel Consumption, 2010; 5 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 14,228 714,166 13 22 5,064 18 39 5,435 Indirect Uses-Boiler Fuel -- 7,788 7 3 2,074 3 26 -- Conventional Boiler Use -- 7,788 3 1 712 1 3 -- CHP and/or Cogeneration Process -- 0 4 3 1,362 2 23 -- Direct Uses-Total Process

213

Table 5.6 End Uses of Fuel Consumption, 2010;  

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

6 End Uses of Fuel Consumption, 2010; 6 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 14,228 2,437 79 130 5,211 69 868 5,435 Indirect Uses-Boiler Fuel -- 27 46 19 2,134 10 572 -- Conventional Boiler Use -- 27 20 4 733 3 72 -- CHP and/or Cogeneration Process -- 0 26 15 1,401 7 500 -- Direct Uses-Total Process -- 1,912 26 54 2,623 29 289 -- Process Heating -- 297 25 14 2,362 24 280 -- Process Cooling and Refrigeration -- 182 * Q 25

214

Table 5.4 End Uses of Fuel Consumption, 2010;  

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

4 End Uses of Fuel Consumption, 2010; 4 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 2,886 79 130 5,211 69 868 Indirect Uses-Boiler Fuel 44 46 19 2,134 10 572 Conventional Boiler Use 44 20 4 733 3 72 CHP and/or Cogeneration Process -- 26 15 1,401 7 500 Direct Uses-Total Process 2,304 26 54 2,623 29 289 Process Heating 318 25 14 2,362 24 280 Process Cooling and Refrigeration

215

Commercial Buildings Energy Consumption and Expenditures 1992 - Publication  

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

and Expenditures > Publication and Tables and Expenditures > Publication and Tables 1992 Consumption & Expenditures Publication and Tables Figure ES1. Energy Consumption in Commercial Buildings by Energy Sources, 1992 Separater Bar To View and/or Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader . If you experience any difficulties, visit our Technical Frequently Asked Questions. You have the option of downloading the entire report or selected sections of the report. Separater Bar Full Report - Commercial Buildings Energy Consumption and Expenditures, 1992 (file size 1.07 MB) pages: 214 Selected Sections Main Text - requires Adobe Acrobat Reader (file size 193,634 bytes) pages: 28, includes the following: Contacts Contents Executive Summary Introduction Background

216

Budget-based power consumption for application execution on a plurality of compute nodes  

SciTech Connect (OSTI)

Methods, apparatus, and products are disclosed for budget-based power consumption for application execution on a plurality of compute nodes that include: assigning an execution priority to each of one or more applications; executing, on the plurality of compute nodes, the applications according to the execution priorities assigned to the applications at an initial power level provided to the compute nodes until a predetermined power consumption threshold is reached; and applying, upon reaching the predetermined power consumption threshold, one or more power conservation actions to reduce power consumption of the plurality of compute nodes during execution of the applications.

Archer, Charles J; Inglett, Todd A

2012-10-23T23:59:59.000Z

217

Field usage and its impact on energy consumption of refrigerator/freezers  

SciTech Connect (OSTI)

This study investigated the effect of door openings and kitchen environment on the energy consumption of nine household refrigerator/freezers (R/Fs) in the field. The factors under consideration include fresh food and freezer door openings, length of door openings, ambient kitchen temperature, and kitchen relative humidity (RH). Average daily energy consumption for the nine units ranged from 1.7 to 5.3 kWh/day. Energy consumption was found to correlate with kitchen temperature and the number of door openings. No dependence on kitchen relative humidity was found. In general, the magnitude of the door opening component of energy consumption was higher for the more efficient units.

Gage, C.L. [Environmental Protection Agency, Research Triangle Park, NC (United States). Air Pollution Prevention and Control Div.

1995-12-31T23:59:59.000Z

218

Budget-based power consumption for application execution on a plurality of compute nodes  

DOE Patents [OSTI]

Methods, apparatus, and products are disclosed for budget-based power consumption for application execution on a plurality of compute nodes that include: assigning an execution priority to each of one or more applications; executing, on the plurality of compute nodes, the applications according to the execution priorities assigned to the applications at an initial power level provided to the compute nodes until a predetermined power consumption threshold is reached; and applying, upon reaching the predetermined power consumption threshold, one or more power conservation actions to reduce power consumption of the plurality of compute nodes during execution of the applications.

Archer, Charles J; Blocksome, Michael A; Peters, Amanda E; Ratterman, Joseph D; Smith, Brian E

2013-02-05T23:59:59.000Z

219

Energy Consumption and Energy Density in Optical and Electronic Signal Processing  

E-Print Network [OSTI]

Energy Consumption and Energy Density in Optical and Electronic Signal Processing Volume 3, Number-0655/$26.00 ©2011 IEEE #12;Energy Consumption and Energy Density in Optical and Electronic Signal Processing Rodney optical and digital electronic signal processing circuits, including the contributions to energy

Tucker, Rod

220

Consumption & Efficiency - Data - U.S. Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports Find statistics on energy consumption and efficiency across all fuel sources. + EXPAND ALL Residential Energy Consumption Survey Data Household characteristics Release Date: March 28, 2011 Survey data for occupied primary housing units. Residential Energy Consumption Survey (RECS)

Note: This page contains sample records for the topic "activities including consumption" 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

Flow shop scheduling with peak power consumption constraints  

E-Print Network [OSTI]

Mar 29, 2012 ... Flow shop scheduling with peak power consumption constraints ... Keywords: scheduling, flow shop, energy, peak power consumption, integer ...

K. Fang

2012-03-29T23:59:59.000Z

222

Sensitivity to electricity consumption in urban business and commercial area buildings according to climatic change  

Science Journals Connector (OSTI)

Recently, urban high temperature phenomenon has become a problem which results from human activities, the increase in energy consumption, and land-cover change in urban areas ... is increased and results in the d...

Kang-guk Lee; Sung-bum Kim; Won-hwa Hong

2012-03-01T23:59:59.000Z

223

Household Vehicles Energy Consumption 1991  

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

C C Quality of the Data Appendix C Quality of the Data Introduction This appendix discusses several issues relating to the quality of the Residential Transportation Energy Consumption Survey (RTECS) data and to the interpretation of conclusions based on these data. The first section discusses under- coverage of the vehicle stock in the residential sector. The second section discusses the effects of using July 1991 as a time reference for the survey. The remainder of this appendix discusses the treatment of sampling and nonsampling errors in the RTECS, the quality of specific data items such as the Vehicle Identification Number (VIN) and fuel prices, and poststratification procedures used in the 1991 RTECS. The quality of the data collection and the processing of the data affects the accuracy of estimates based on survey data. All the statistics published in this report such as total

224

Manufacturing Consumption of Energy 1994  

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

A24. A24. Total Inputs of Energy for Heat, Power, and Electricity Generation by Program Sponsorship, Industry Group, Selected Industries, and Type of Energy- Management Program, 1994: Part 1 (Estimates in Trillion Btu) See footnotes at end of table. Energy Information Administration/Manufacturing Consumption of Energy 1994 285 SIC Management Any Type of Sponsored Self-Sponsored Sponsored Sponsored Code Industry Group and Industry Program Sponsorship Involvement Involvement Involvement Involvement a No Energy Electric Utility Government Third Party Type of Sponsorship of Management Programs (1992 through 1994) RSE Row Factors Federal, State, or Local RSE Column Factors: 0.7 1.1 1.0 0.7 1.9 0.9 20-39 ALL INDUSTRY GROUPS Participation in One or More of the Following Types of Programs . .

225

Manufacturing Consumption of Energy 1994  

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

A9. A9. Total Inputs of Energy for Heat, Power, and Electricity Generation by Fuel Type, Census Region, and End Use, 1994: Part 1 (Estimates in Btu or Physical Units) See footnotes at end of table. Energy Information Administration/Manufacturing Consumption of Energy 1994 166 End-Use Categories (trillion Btu) kWh) (1000 bbl) (1000 bbl) cu ft) (1000 bbl) tons) (trillion Btu) Total (million Fuel Oil Diesel Fuel (billion LPG (1000 short Other Net Distillate Natural and Electricity Residual Fuel Oil and Gas Breeze) a b c Coal (excluding Coal Coke d RSE Row Factors Total United States RSE Column Factors: NF 0.5 1.3 1.4 0.8 1.2 1.2 NF TOTAL INPUTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,515 778,335 70,111 26,107 5,962 25,949 54,143 5,828 2.7 Indirect Uses-Boiler Fuel . . . . . . . . . . . . . . . . . . . . . . . --

226

Manufacturing Consumption of Energy 1994  

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

3 3 Energy Information Administration/Manufacturing Consumption of Energy 1994 Glossary Anthracite: A hard, black, lustrous coal containing a high percentage of fixed carbon and a low percentage of volatile matter. Often referred to as hard coal. Barrel: A volumetric unit of measure equivalent to 42 U.S. gallons. Biomass: Organic nonfossil material of biological origin constituting a renewable energy source. Bituminous Coal: A dense, black coal, often with well-defined bands of bright and dull material, with a moisture content usually less than 20 percent. Often referred to as soft coal. It is the most common coal. Blast Furnace: A shaft furnace in which solid fuel (coke) is burned with an air blast to smelt ore in a continuous operation. Blast Furnace Gas: The waste combustible gas generated in a blast furnace when iron ore is being reduced with coke to

227

Manufacturing Consumption of Energy 1994  

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

Manufacturing Manufacturing Sector Overview 1991-1994 Energy Information Administration/Manufacturing Consumption of Energy 1994 xiii Why Do We Investigate Energy Use in the Manufacturing Sector? What Data Do EIA Use To Investigate Energy Use in the Manufacturing Sector? In 1991, output in the manufactur- ing sector fell as the country went into a recession. After 1991, however, output increased as the country slowly came out of the recession. Between 1991 and 1994, manufacturers, especially manu- facturers of durable goods such as steel and glass, experienced strong growth. The industrial production index for durable goods during the period increased by 21 percent. Real gross domestic product for durable goods increased a corre- sponding 16 percent. The growth of nondurables was not as strong-- the production index increased by only 9 percent during this time period.

228

Manufacturing Consumption of Energy 1994  

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

Survey Design, Survey Design, Implementation, and Estimates 411 Energy Information Administration/Manufacturing Consumption of Energy 1994 Overview of Changes from Previous Surveys Sample Design. The MECS has increased its sample size by roughly 40 percent since the 1991 survey, increasing the designed sample size from 16,054 establishments to 22,922. This increase in size and change in sampling criteria required a departure from using the Annual Survey of Manufactures (ASM) as the MECS sampling frame. For 1994, establishments were selected directly from the 1992 Census of Manufactures (CM) mail file, updated by 1993 ASM. Sample Frame Coverage. The coverage in the 1994 MECS is 98 percent of the manufacturing population as measured in total payroll. The sampling process itself provided that level of coverage, and no special adjustments were

229

Manufacturing Consumption of Energy 1994  

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

0. 0. Number of Establishments that Actually Switched Fuels from Natural Gas to Residual Fuel Oil, by Industry Group and Selected Industries, 1994 369 Energy Information Administration/Manufacturing Consumption of Energy 1994 SIC Residual Fuel Oil Total Code Industry Group and Industry (billion cu ft) Factors (counts) (counts) (percents) (counts) (percents) a Natural Gas Switchable to Establishments RSE Row Able to Switch Actually Switched RSE Column Factors: 1.3 0.1 1.4 1.7 1.6 1.8 20 Food and Kindred Products . . . . . . . . . . . . . . . . . . . . . . . . . 81 14,698 702 4.8 262 1.8 5.6 2011 Meat Packing Plants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 759 23 3.0 10 1.3 9.0 2033 Canned Fruits and Vegetables . . . . . . . . . . . . . . . . . . . . . 9 531 112 21.2 33 6.2 11.6 2037 Frozen Fruits and Vegetables . . . . . . . . . . . . . . . . . . . . . . 5 232 Q 5.3

230

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

2 2 State Energy Data 2011: Consumption Table C9. Electric Power Sector Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Nuclear Electric Power Hydroelectric Power b Biomass Geothermal Solar/PV d Wind Net Electricity Imports e Total f Distillate Fuel Oil Petroleum Coke Residual Fuel Oil Total Wood and Waste c Alabama ............. 586.1 349.4 1.1 0.0 0.0 1.1 411.8 86.3 4.6 0.0 0.0 0.0 0.0 1,439.3 Alaska ................. 6.0 42.3 3.3 0.0 1.5 4.8 0.0 13.1 0.0 0.0 0.0 0.1 (s) 66.3 Arizona ............... 449.9 183.9 0.6 0.0 0.0 0.6 327.3 89.1 2.4 0.0 0.8 2.5 1.5 1,057.9 Arkansas ............. 300.5 109.2 0.5 0.0 0.1 0.6 148.5 28.7 1.3 0.0 0.0 0.0 0.0 588.9 California ............ 19.7 630.1 0.4 11.1 (s) 11.5 383.6 413.4 69.0 122.0 8.4 75.3 20.1 1,753.1 Colorado ............. 362.4 88.1 0.3 0.0 0.0 0.3 0.0 20.2 0.9

231

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2011 . Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2011 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity f Net Electricity Imports g Residential Commercial Industrial b Transportation Coal Natural Gas c Petroleum d Total Alabama 1,931.3 651.0 614.8 549.5 1,815.4 411.8 260.6 -556.6 0.0 376.9 257.2 810.0 487.2 Alaska 637.9 15.5 337.0 267.1 619.6 0.0 18.4 0.0 (s) 53.7 68.2 315.4 200.7 Arizona 1,431.5 459.9 293.7 500.9 1,254.5 327.3 136.6 -288.4 1.5 394.7 345.5 221.2 470.1 Arkansas 1,117.1 306.1 288.6 335.7 930.5 148.5 123.7 -85.6 0.0 246.3 174.7 405.0 291.2 California 7,858.4 55.3 2,196.6 3,405.8 5,657.6 383.6 928.5 868.6 20.1 1,516.1 1,556.1 1,785.7 3,000.5 Colorado 1,480.8 368.9 476.5 472.9 1,318.3

232

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

C4. Total End-Use Energy Consumption Estimates, 2011 C4. Total End-Use Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric power f Biomass Geo- thermal Solar/PV i Retail Electricity Sales Net Energy j,k Electrical System Energy Losses l Total j,k Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste g Losses and Co- products h Alabama ........... 65.0 265.4 155.4 13.4 12.8 319.8 13.4 49.1 563.8 0.0 154.1 0.0 0.1 0.2 303.7 1,352.2 579.1 1,931.3 Alaska ............... 9.5 294.7 81.8 118.2 1.3 34.6 0.4 28.6 265.0 0.0 2.3 0.0 0.2 (s) 21.6 593.2 44.7 637.9 Arizona ............. 10.0 109.8 151.3 21.5 9.1 323.4 (s) 21.1 526.5 0.0 4.4 3.1 0.3 7.9 255.7 917.8 513.7 1,431.5 Arkansas ........... 5.6 179.4 134.5 5.9 9.4 175.6 0.1 19.8 345.4 0.0 82.6 0.0 0.7 0.2 163.5 777.4 339.8 1,117.1 California ..........

233

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

State State Energy Data 2011: Consumption 11 Table C8. Transportation Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Retail Electricity Sales Net Energy Electrical System Energy Losses e Total Aviation Gasoline Distillate Fuel Oil Jet Fuel b LPG c Lubricants Motor Gasoline d Residual Fuel Oil Total Alabama ............. 0.0 23.5 0.4 124.4 13.4 0.3 2.3 316.3 6.7 463.7 0.0 487.2 0.0 487.2 Alaska ................. 0.0 3.5 0.8 44.4 118.2 (s) 0.4 32.9 0.4 197.2 0.0 200.7 0.0 200.7 Arizona ............... 0.0 15.6 1.0 111.3 21.5 0.8 1.6 318.2 0.0 454.5 0.0 470.1 0.0 470.1 Arkansas ............. 0.0 11.5 0.4 99.7 5.9 0.4 2.0 171.3 0.0 279.8 (s) 291.2 (s) 291.2 California ............ 0.0 25.7 1.9 440.9 549.7 3.8 13.3 1,770.1 186.9 2,966.5 2.8 2,995.1 5.5 3,000.5 Colorado ............. 0.0 14.7 0.6 83.2 58.3 0.3

234

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

0 0 State Energy Data 2011: Consumption Table C7. Industrial Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric power e Biomass Geo- thermal Retail Electricity Sales Net Energy h,i Electrical System Energy Losses j Total h,i Distillate Fuel Oil LPG b Motor Gasoline c Residual Fuel Oil Other d Total Wood and Waste f Losses and Co- products g Alabama ............. 65.0 179.1 23.9 3.7 3.3 6.7 46.3 83.9 0.0 147.2 0.0 (s) 115.1 590.4 219.5 810.0 Alaska ................. 0.1 253.8 19.2 0.1 1.0 0.0 27.1 47.4 0.0 0.1 0.0 0.0 4.5 306.0 9.4 315.4 Arizona ............... 10.0 22.0 33.2 1.4 4.6 (s) 18.4 57.6 0.0 1.4 3.1 0.2 42.1 136.5 84.7 221.2 Arkansas ............. 5.6 93.1 31.1 2.6 4.0 0.1 17.4 55.1 0.0 72.7 0.0 (s) 58.0 284.5 120.5 405.0 California ............ 35.6 767.4 77.2 23.9 29.6 (s) 312.5

235

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

8 8 State Energy Data 2011: Consumption Table C5. Residential Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal a Natural Gas b Petroleum Biomass Geothermal Solar/PV e Retail Electricity Sales Net Energy f Electrical System Energy Losses g Total f Distillate Fuel Oil Kerosene LPG c Total Wood d Alabama ............. 0.0 37.2 0.1 0.1 6.0 6.2 6.0 0.1 0.2 112.6 162.2 214.7 376.9 Alaska ................. 0.0 20.5 8.1 0.1 0.5 8.8 1.9 0.1 (s) 7.3 38.6 15.1 53.7 Arizona ............... 0.0 39.1 (s) (s) 5.5 5.5 2.6 (s) 7.9 112.9 168.0 226.8 394.7 Arkansas ............. 0.0 34.2 0.1 (s) 5.2 5.3 8.6 0.7 0.2 64.1 113.1 133.2 246.3 California ............ 0.0 522.4 0.6 0.6 30.9 32.2 33.3 0.2 43.2 301.6 932.9 583.1 1,516.1 Colorado ............. 0.0 134.2 0.1 (s) 12.3 12.4 8.3 0.2 0.7 62.4 216.5 136.5 353.0 Connecticut ......... 0.0 46.0 59.6

236

EIA - Natural Gas Consumption Data & Analysis  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption Consumption by End Use U.S. and State consumption by lease and plant, pipeline, and delivered to consumers by sector (monthly, annual). Number of Consumers Number of sales and transported consumers for residential, commercial, and industrial sectors by State (monthly, annual). State Shares of U.S. Deliveries By sector and total consumption (annual). Delivered for the Account of Others Commercial, industrial and electric utility deliveries; percentage of total deliveries by State (annual). Heat Content of Natural Gas Consumed Btu per cubic foot of natural gas delivered to consumers by State (annual) and other components of consumption for U.S. (annual). Natural Gas Weekly Update Analysis of current price, supply, and storage data; and a weather snapshot.

237

Renewable Energy Consumption | OpenEI  

Open Energy Info (EERE)

Consumption Consumption Dataset Summary Description Total annual renewable electricity consumption by country, 2005 to 2009 (available in Billion Kilowatt-hours or as Quadrillion Btu). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords EIA renewable electricity Renewable Energy Consumption world Data text/csv icon total_renewable_electricity_net_consumption_2005_2009billion_kwh.csv (csv, 8.5 KiB) text/csv icon total_renewable_electricity_net_consumption_2005_2009quadrillion_btu.csv (csv, 8.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 2005 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata

238

annual energy consumption | OpenEI  

Open Energy Info (EERE)

energy consumption energy consumption Dataset Summary Description Provides annual renewable energy consumption by source and end use between 1989 and 2008. This data was published and compiled by the Energy Information Administration. Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords annual energy consumption consumption EIA renewable energy Data application/vnd.ms-excel icon historical_renewable_energy_consumption_by_sector_and_energy_source_1989-2008.xls (xls, 41 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 1989-2008 License License Creative Commons CCZero Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

239

Household energy consumption and expenditures 1993  

SciTech Connect (OSTI)

This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

NONE

1995-10-05T23:59:59.000Z

240

New Zealand Energy Data: Oil Consumption by Fuel and Sector | OpenEI  

Open Energy Info (EERE)

Oil Consumption by Fuel and Sector Oil Consumption by Fuel and Sector Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to oil and other petroleum products. Included here are two oil consumption datasets: quarterly petrol consumption by sector (agriculture, forestry and fishing; industrial; commercial; residential; transport industry; and international transport), from 1974 to 2010; and oil consumption by fuel type (petrol, diesel, fuel oil, aviation fuels, LPG, and other), also for the years 1974 through 2010. The full 2010 Energy Data File is available: http://www.med.govt.nz/upload/73585/EDF%202010.pdf. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 02nd, 2010 (4 years ago)

Note: This page contains sample records for the topic "activities including consumption" 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

Entanglement consumption of instantaneous nonlocal quantum measurements  

E-Print Network [OSTI]

Relativistic causality has dramatic consequences on the measurability of nonlocal variables and poses the fundamental question of whether it is physically meaningful to speak about the value of nonlocal variables at a particular time. Recent work has shown that by weakening the role of the measurement in preparing eigenstates of the variable it is in fact possible to measure all nonlocal observables instantaneously by exploiting entanglement. However, for these measurement schemes to succeed with certainty an infinite amount of entanglement must be distributed initially and all this entanglement is necessarily consumed. In this work we sharpen the characterisation of instantaneous nonlocal measurements by explicitly devising schemes in which only a finite amount of the initially distributed entanglement is ever utilised. This enables us to determine an upper bound to the average consumption for the most general cases of nonlocal measurements. This includes the tasks of state verification, where the measurement verifies if the system is in a given state, and verification measurements of a general set of eigenstates of an observable. Despite its finiteness the growth of entanglement consumption is found to display an extremely unfavourable exponential of an exponential scaling with either the number of qubits needed to contain the Schmidt rank of the target state or total number of qubits in the system for an operator measurement. This scaling is seen to be a consequence of the combination of the generic exponential scaling of unitary decompositions combined with the highly recursive structure of our scheme required to overcome the no-signalling constraint of relativistic causality.

S. R. Clark; A. J. Connor; D. Jaksch; S. Popescu

2010-04-06T23:59:59.000Z

242

,"Colorado Natural Gas Consumption by End Use"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Consumption by End Use",6,"Monthly","112014","1151989" ,"Release...

243

Fuel Consumption per Vehicle.xls  

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

... 729 NA 618 628 652 681 Table 9. Fuel Consumption per Vehicle, Selected Survey Years (Gallons) Survey Years Page A-1 of A-5 1983 1985...

244

Power Consumption of Hybrid Optical Switches  

Science Journals Connector (OSTI)

Two realization options of hybrid optical switches are evaluated with regard to power consumption. Both switches show improved energy efficiency in comparison to a pure packet...

Aleksic, Slavi?a

245

Issues in International Energy Consumption Analysis: Electricity...  

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

Electricity Usage in India's Housing Sector SERIES: Issues in International Energy Consumption Analysis Electricity Usage in India's Housing Sector Release date: November 7, 2014...

246

Resource Consumption of Additive Manufacturing Technology.  

E-Print Network [OSTI]

??The degradation of natural resources as a result of consumption to support the economic growth of humans society represents one of the greatest sustainability challenges.… (more)

Nopparat, Nanond

2012-01-01T23:59:59.000Z

247

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

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Total Consumption (MMcf)",1,"Annual",2013 ,"Release Date:","12312014"...

248

,"California Natural Gas Consumption by End Use"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Consumption by End Use",11,"Annual",2013,"6301967" ,"Release...

249

Advertising in Markets with Consumption Externalities.  

E-Print Network [OSTI]

??This paper extends the entry deterrence literature by examining coordinating advertising in markets with consumption externalities using a stochastic success function. Optimal advertising and pricing… (more)

Whelan, Adele

2014-01-01T23:59:59.000Z

250

Pricing Conspicuous Consumption Products in Recession Periods ...  

E-Print Network [OSTI]

Conspicuous consumptions products as luxury cars, designer brands, and fancy hotel rooms .... mand D is driven by the brand image and the pricing strategy p.

2012-09-26T23:59:59.000Z

251

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

or fewer than 20 buildings were sampled. NNo responding cases in sample. Notes: Statistics for the "Energy End Uses" category represent total consumption in buildings that...

252

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A, C, and E of the 2003 Commercial Buildings Energy Consumption Survey....

253

Consumption & Efficiency - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports An Assessment of EIA's Building Consumption Data Background image of CNSTAT logo The U.S. Energy Information Administration (EIA) routinely uses feedback from customers and outside experts to help improve its programs and products. As part of an assessment of its consumption

254

The Implementation and Application of Energy Consumption Monitoring and Management System  

Science Journals Connector (OSTI)

An energy consumption monitoring and management system was established in the wind tunnel center of Tongji University. The hardware of the system included electronic measuring instrument, programmable logic co...

Dandan Liu; Xingyu Ma; Jia Liu; Qijun Chen

2012-01-01T23:59:59.000Z

255

On an optimal consumption problem for p-integrable consumption plans  

Science Journals Connector (OSTI)

...A generalization is presented of the existence results for an optimal consumption problem of Aumann and Perles [4]...

Erik J. Balder; Martijn R. Pistorius

2001-05-01T23:59:59.000Z

256

Electricity consumption of telecommunication equipment to achieve a telemeeting  

Science Journals Connector (OSTI)

Abstract The article assesses the electricity consumption in use of telecommunication equipment to achieve one remote multi-user work meeting, an existing service proposed by Orange group. It also examines the electric gains of substitution for a meeting requiring physical transport. Equipment comprises participant computers PC and phones, access to core networks and servers to permit audio link and the share of documents on PC display between users. Each device requires power to perform hours of activity or transfer nominal bit/s of throughput. A generic and modular method is suggested to determine from this information, which is not directly related to services processed by the devices, the consumption of the service under study. The method thus provides a quantitative relation of service consumption to its characteristics – duration, number of users and access throughput – but also to device consumption efficiency and utilization rate. The relation of dependance permits to assess potential energy saving by substituting devices for more efficiency ones and/or by increasing their utilization rate at same provided service. With some utilization rates at around 10%, as observed for the servers, a telemeeting between three users and lasting 2.3 h requires 9 MJ of electricity. Using better equipment and higher rates it can be decreased to 1.5 MJ. By comparison transport of two of the users by train over a total distance of 2500 km requires 500 MJ. The method can be applied to any service provided its characteristics are known.

X. Chavanne; S. Schinella; D. Marquet; J.P. Frangi; S. Le Masson

2015-01-01T23:59:59.000Z

257

Emerging Technologies Activities | Department of Energy  

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

Emerging Technologies Activities Emerging Technologies Activities Emerging Technologies Activities The Emerging Technologies team focuses on the development and testing of next-generation technologies that can increase the energy efficiency of existing technologies and help support the goal of reducing energy consumption by at least 50%. By partnering with industry, researchers, and other stakeholders, the Department of Energy (DOE) acts as a catalyst in driving research in energy efficient technologies, including: Refrigerators, washers, dryers, and other appliances Parts of the building envelope, including insulation, roofing and attics, foundations, and walls Window, skylight, and door technologies, such as highly-insulating windows, glazings and films, window frames, and daylighting and shading

258

Table 3.3 Fuel Consumption, 2002  

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

3 Fuel Consumption, 2002;" 3 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,"Net","Residual","Distillate","Natural ","LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

259

DYNAMIC MANAGEMENT OF POWER CONSUMPTION Tajana Simunic  

E-Print Network [OSTI]

of the system and decides when and how to force power state transitions. The power manager makes state transition decisions according to the power management policy. The choice of the policy that minimizes powerChapter 1 DYNAMIC MANAGEMENT OF POWER CONSUMPTION Tajana Simunic HP Labs Abstract Power consumption

Simunic, Tajana

260

Energy Consumption Issues on Mobile Network Systems  

Science Journals Connector (OSTI)

This paper describes energy consumption demographic data in operating real mobile networks. We examine published data from NTT DoCoMo, which is the largest mobile telecommunication operator in Japan and operating nation-wide 3G networks, and identify ... Keywords: Moble Network, Power Consumption, Battery, CO2, Green Network

Minoru Etoh; Tomoyuki Ohya; Yuji Nakayama

2008-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "activities including consumption" 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

Energy Consumption of Minimum Energy Coding in  

E-Print Network [OSTI]

Energy Consumption of Minimum Energy Coding in CDMA Wireless Sensor Networks Benigno Zurita Ares://www.ee.kth.se/control Abstract. A theoretical framework is proposed for accurate perfor- mance analysis of minimum energy coding energy consumption is analyzed for two coding schemes proposed in the literature: Minimum Energy coding

Johansson, Karl Henrik

262

NOAAlNMFS Developments Seafood Consumption and  

E-Print Network [OSTI]

NOAAlNMFS Developments Seafood Consumption and Exports Are Up in Hawaii Seafood consumption amount to $28.7 million, of which $2.4 million is fresh fish and $21.2 million is frozen seafood (lobster and the inter- national market; 5) seafood consump- tion in Hawaii is estimated to be 24 pounds per person

263

Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Building Type Definitions Building Type Definitions In the Commercial Buildings Energy Consumption Survey (CBECS), buildings are classified according to principal activity, which is the primary business, commerce, or function carried on within each building. Buildings used for more than one of the activities described below are assigned to the activity occupying the most floorspace at the time of the interview. Thus, a building assigned to a particular principal activity category may be used for other activities in a portion of its space or at some time during the year. In the 1999 and 2003 CBECS, respondents were asked to place their building into a sub-category that was a more specific activity than has been collected in prior surveys. This was done to ensure the quality of the data; after data collection, the subcategories were combined

264

US SoAtl GA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

GA GA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl GA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl GA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl GA Expenditures dollars ELECTRICITY ONLY average per household * Site energy consumption (89.5 million Btu) and energy expenditures per household ($2,067) in Georgia are similar to the U.S. household averages. * Per household electricity consumption in Georgia is among the highest in the country, but similar to other states in the South. * Forty-five percent of homes in Georgia were built since 1990, a characteristic typically associated with lower per household consumption. Georgia homes,

265

US SoAtl GA Site Consumption  

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

GA GA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl GA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl GA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl GA Expenditures dollars ELECTRICITY ONLY average per household * Site energy consumption (89.5 million Btu) and energy expenditures per household ($2,067) in Georgia are similar to the U.S. household averages. * Per household electricity consumption in Georgia is among the highest in the country, but similar to other states in the South. * Forty-five percent of homes in Georgia were built since 1990, a characteristic typically associated with lower per household consumption. Georgia homes,

266

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

4 4 Ownership (1) Owned 54.9 104.5 40.3 78% Rented 77.4 71.7 28.4 22% Public Housing 75.7 62.7 28.7 2% Not Public Housing 77.7 73.0 28.4 19% 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008 2005 Residential Delivered Energy Consumption Intensities, by Ownership of Unit Per Square Per Household Per Household Percent of Foot (thousand Btu) (million Btu) Members (million Btu) Total Consumption

267

1999 CBECS Principal Building Activities  

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

Data Reports > 2003 Building Characteristics Overview Data Reports > 2003 Building Characteristics Overview A Look at Building Activities in the 1999 Commercial Buildings Energy Consumption Survey The Commercial Buildings Energy Consumption Survey, or CBECS, covers a wide variety of building types—office buildings, shopping malls, hospitals, churches, and fire stations, to name just a few. Some of these buildings might not traditionally be considered "commercial," but the CBECS includes all buildings that are not residential, agricultural, or industrial. For an overview of definitions and examples of the CBECS building types, see Description of Building Types. Compare Activities by... Number of Buildings Building size Employees Building Age Energy Conservation Number of Computers Electricity Generation Capability

268

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table C6. Commercial Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric Power e Biomass Geothermal Retail Electricity Sales Net Energy g Electrical System Energy Losses h Total g Distillate Fuel Oil Kerosene LPG b Motor Gasoline c Residual Fuel Oil Total d Wood and Waste f Alabama ............. 0.0 25.5 7.0 (s) 2.7 0.2 0.0 10.0 0.0 0.9 0.0 75.9 112.4 144.8 257.2 Alaska ................. 9.4 16.9 10.1 0.1 0.6 0.7 0.0 11.5 0.0 0.3 0.1 9.7 48.0 20.2 68.2 Arizona ............... 0.0 33.1 6.8 (s) 1.5 0.7 0.0 8.9 0.0 0.5 (s) 100.7 143.2 202.3 345.5 Arkansas ............. 0.0 40.6 3.6 (s) 1.2 0.4 0.0 5.2 0.0 1.3 0.0 41.4 88.6 86.1 174.7 California ............ 0.0 250.9 47.9 0.1 8.7 1.4 0.0 58.1 (s) 17.4 0.7 418.9 746.2 809.9 1,556.1 Colorado ............. 3.2 57.6 5.9 (s) 2.9 0.2 0.0 9.1 0.0 1.2 0.2

269

Alcohol consumption, Lewis phenotypes, and risk of ischemic heart disease  

SciTech Connect (OSTI)

The authors have previously found an increased risk of ischemic heart disease (IHD) in men with the Lewis phenotype Le(a[minus]b[minus]) and suggested that the Lewis blood group has a close genetic relation with insulin resistance. The authors have investigated whether any conventional risk factors explain the increased risk in Le(a[minus]b[minus]) men. 3,383 men aged 53-75 years were examined in 1985-86, and morbidity and mortality during the next 4 years were recorded. At baseline, the authors excluded 343 men with a history of myocardial infarction, angina pectoris, intermittent claudication, or stroke. The potential risk factors examined were alcohol consumption, physical activity, tobacco smoking, serum cotinine, serum lipids, body-mass index, blood pressure, prevalence of hypertension and non-insulin-dependent diabetes mellitus, and social class. In 280 (9.6%) men with Le(a[minus]b[minus]), alcohol was the only risk factor significantly associated with risk of IHD. There was a significant inverse dose-effect relation between alcohol consumption and risk; trend tests, with adjustment for age, were significant for fatal IHD (p=0.02), all IHD (p=0.03), and all causes of death (p=0.02). In 2649 (90.4%) men with other phenotypes, there was a limited negative association with alcohol consumption. In Le(a[minus]b[minus]) men, a group genetically at high risk of IHD, alcohol consumption seems to be especially protective. The authors suggest that alcohol consumption may modify insulin resistance in Le(a[minus]b[minus]) men.

Hein, H.O.; Suadicani, P.; Gyntelberg, F. (Rigshospitalet State Univ. Hospital, Copenhagen (Denmark). Epidemiological Research Unit); Sorenson, H. (Rigshospitalet State Univ. Hospital, Copenhagen (Denmark). Dept. of Chemical Immunology); Hein, H.O. (Univ. of Copenhagen (Denmark). Dept. of Internal Medicine)

1993-02-13T23:59:59.000Z

270

Association between maternal seafood consumption before pregnancy and fetal growth: evidence for an association in overweight women. The "EDEN mother-child" cohort  

E-Print Network [OSTI]

1 Association between maternal seafood consumption before pregnancy and fetal growth: evidence.1365-3016.2008.00982.x #12;2 SUMMARY Studies, in countries with high seafood consumption, suggested its between seafood consumption in French pregnant women and fetal growth. Pregnant women included in the EDEN

Paris-Sud XI, Université de

271

Energy Information Administration - Transportation Energy Consumption by  

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

Energy Consumption Energy Consumption Transportation Energy Consumption Surveys energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the surveys can be divided into two broad groups: supply surveys, directed to the suppliers and marketers of specific energy sources, that measure the quantities of specific fuels produced for and/or supplied to the market; and consumption surveys, which gather information on the types of energy used by consumer groups along with the consumer characteristics that are associated with energy use. In the transportation sector, EIA's core consumption survey was the Residential Transportation Energy Consumption Survey. RTECS belongs to the consumption group because it collects information directly from the consumer, the household. For roughly a decade, EIA fielded the RTECS--data were first collected in 1983. This survey, fielded for the last time in 1994, was a triennial survey of energy use and expenditures, vehicle miles-traveled (VMT), and vehicle characteristics for household vehicles. For the 1994 survey, a national sample of more than 3,000 households that own or use some 5,500 vehicles provided data.

272

Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -  

Gasoline and Diesel Fuel Update (EIA)

All Reports & Publications All Reports & Publications Search By: Go Pick a date range: From: To: Go ManufacturingAvailable formats Cost of Natural Gas Used in Manufacturing Sector Has Fallen Released: September 6, 2013 Natural gas has been an important exception to the trend of rising prices for energy sources used by manufacturers. Production of natural gas in the United States increased rapidly beginning in 2007 as a result of resources found in shale formations. That increase in supply has in turn lowered the price of natural gas to manufacturers Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Use and the Energy Intensity of Manufacturing Activity between 2002 and 2010 Released: March 19, 2013 Total energy consumption in the manufacturing sector decreased by 17

273

Driving factors of non-commercial biomass consumption: a multivariate approach  

Science Journals Connector (OSTI)

The rising global energy requirement, which is driven mainly by population and economic growth, plays a critical role in the world's economic and social development. Different levels and patterns of energy use reflect various developmental stages of countries' economies, including biomass as an important element of the global energy framework. This paper provides an assessment of the relative importance of commercial energy and biomass as elements contributing to overall economic activity. Similarities and differences are identified in the structure of energy use among countries by establishing country groupings using cluster techniques and quantifying the patterns with factor analysis. Multi-dimensional clustering of the countries is presented based on the biomass consumption related parameters such as gross domestic product (GDP) per capita, commercial energy consumption per capita, urbanisation and industrialisation levels. After describing major clusters in 1970 and 1995, the characterisation of clusters identified through the factor analysis is summarised to show the relative importance of various factors within the considered structure. Discussions on the structural changes within the selected period conclude the paper.

Jan Ban; Nadir Guerer

2001-01-01T23:59:59.000Z

274

Meals included in Conference Registrations  

E-Print Network [OSTI]

Meals included in Conference Registrations Meals included as part of the cost of a conference the most reasonable rates are obtained. Deluxe hotels and motels should be avoided. GSA rates have been for Georgia high cost areas. 75% of these amounts would be $21 for non- high cost areas and $27 for high cost

Arnold, Jonathan

275

Energy Information Administration - Energy Efficiency-Table 5b. Consumption  

Gasoline and Diesel Fuel Update (EIA)

b b Page Last Modified: June 2010 Table 5b. Consumption of Energy for All Purposes (First Use) per Ton of Steel, 1998, 2002, and 2006 (Million Btu per ton) MECS Survey Years Iron and Steel Mills (NAICS1 331111) 19982 20022 20062 Total 3 17 16 13 Net Electricity 4 2 2 2 Natural Gas 5 5 4 Coal 7 6 4 Notes: 1. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 2. Denominators represent the entire steel industry, not those based mainly on electric, natural gas, residual fuel oil or coal.

276

US SoAtl VA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

SoAtl VA SoAtl VA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl VA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl VA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl VA Expenditures dollars ELECTRICITY ONLY average per household * Virginia households consume an average of 86 million Btu per year, about 4% less than the U.S. average. * Average electricity consumption and costs are higher for Virginia households than the national average, but similar to those in neighboring states where electricity is the most common heating fuel. * Virginia homes are typically newer and larger than homes in other parts of the country. CONSUMPTION BY END USE

277

US Mnt(S) AZ Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

Mnt(S) AZ Mnt(S) AZ Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(S) AZ Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US Mnt(S) AZ Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US Mnt(S) AZ Expenditures dollars ELECTRICITY ONLY average per household * Arizona households use 66 million Btu of energy per home, 26% less than the U.S. average. * The combination of lower than average site consumption of all energy, but above average electricity which is relatively expensive, results in Arizona households spending 3% less for energy than the U.S. average. * More reliance on air conditioning keeps average site electricity consumption in the state high relative to other parts of the U.S.

278

US SoAtl VA Site Consumption  

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

SoAtl VA SoAtl VA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl VA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl VA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl VA Expenditures dollars ELECTRICITY ONLY average per household * Virginia households consume an average of 86 million Btu per year, about 4% less than the U.S. average. * Average electricity consumption and costs are higher for Virginia households than the national average, but similar to those in neighboring states where electricity is the most common heating fuel. * Virginia homes are typically newer and larger than homes in other parts of the country. CONSUMPTION BY END USE

279

Natural gas consumption | OpenEI  

Open Energy Info (EERE)

gas consumption gas consumption Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 136, and contains only the reference case. This dataset is in trillion cubic feet. The data is broken down into residential, commercial, industrial, electric power and transportation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural gas consumption Data application/vnd.ms-excel icon AEO2011: Natural Gas Consumption by End-Use Sector and Census Division- Reference Case (xls, 138.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

280

Power Consumption Analysis of Architecture on Demand  

Science Journals Connector (OSTI)

Abstract (40-Word Limit): Recently proposed Architecture on Demand (AoD) node shows considerable flexibility benefits against traditional ROADMs. We study the power consumption of AoD...

Garrich, Miquel; Amaya, Norberto; Zervas, Georgios; Giaccone, Paolo; Simeonidou, Dimitra

Note: This page contains sample records for the topic "activities including consumption" 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

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

NONE

1999-02-01T23:59:59.000Z

282

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

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

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

283

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

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

,,"(202) 586-8800",,,"182015 12:47:17 PM" "Back to Contents","Data 1: New York Natural Gas Industrial Consumption (MMcf)" "Sourcekey","N3035NY2" "Date","New York...

284

Current Demands on Fuel Consumption Measurement  

Science Journals Connector (OSTI)

The general focus on the reduction of greenhouse gases, specifically of CO2..., is also increasingly drawing the attention of engine developers back to the priority of lowering fuel consumption. Fundamental to th...

Karl Köck; Romain Lardet; Rainer Schantl

2011-09-01T23:59:59.000Z

285

Fuel Consumption Monitoring and Diesel Engines  

Science Journals Connector (OSTI)

In a perspective to explore how fuel monitoring and diesel engine life are interconnected, it’s necessary to ... touch several issues such as specifics of diesel engines in fuel consumption, the effects of precis...

Anna Antimiichuk

2014-09-01T23:59:59.000Z

286

Analyzing electricity consumption via data mining  

Science Journals Connector (OSTI)

This paper proposes a model to analyze the massive data of electricity. Feature subset is determined by the correlation ... be determined further. The effects on analyzing electricity consumption of the other thr...

Jinshuo Liu; Huiying Lan; Yizhen Fu; Hui Wu…

2012-04-01T23:59:59.000Z

287

Energy consumption metrics of MIT buildings  

E-Print Network [OSTI]

With world energy demand on the rise and greenhouse gas levels breaking new records each year, lowering energy consumption and improving energy efficiency has become vital. MIT, in a mission to help improve the global ...

Schmidt, Justin David

2010-01-01T23:59:59.000Z

288

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

sum to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A, C, and E of the 2003 Commercial Buildings Energy Consumption Survey....

289

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

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

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

290

US Mnt(S) AZ Site Consumption  

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

Mnt(S) AZ Mnt(S) AZ Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(S) AZ Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US Mnt(S) AZ Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US Mnt(S) AZ Expenditures dollars ELECTRICITY ONLY average per household * Arizona households use 66 million Btu of energy per home, 26% less than the U.S. average. * The combination of lower than average site consumption of all energy, but above average electricity which is relatively expensive, results in Arizona households spending 3% less for energy than the U.S. average. * More reliance on air conditioning keeps average site electricity consumption in the state high relative to other parts of the U.S.

291

Energy consumption and environmental pollution: a stochastic model  

Science Journals Connector (OSTI)

......indicated that total energy consumption in sugar beet production...pollution. Although energy consumption increased sugar beet yield...and found that hybrid and electric car technologies exhibit (efficiency...ergy efficiency, affects consumption choice by Swedish households......

Charles S. Tapiero

2009-07-01T23:59:59.000Z

292

Optimal consumption and investment for markets with random coefficients.  

E-Print Network [OSTI]

Optimal consumption and investment for markets with random coefficients. Belkacem Berdjane and Serguei Pergamenshchikov December 9, 2011 Abstract We consider an optimal investment and consumption. We assume that an agent makes consumption and investment decisions based on CRRA utility functions

Paris-Sud XI, Université de

293

Sequential #optimal consumption and investment for stochastic volatility markets  

E-Print Network [OSTI]

Sequential #­optimal consumption and investment for stochastic volatility markets with unknown investment and consumption problem for a Black­Scholes financial market with stochastic volatility sequential estimation. We show that the consumption and investment strategy calculated through

294

Intertemporal Consumption and Savings Behavior: Neoclassical, Behavioral, and Neuroeconomic Approaches  

E-Print Network [OSTI]

Intertemporal Consumption and Savings Behavior: Neoclassical, Behavioral, and Neuroeconomic models of intertemporal consumption and savings behavior. I summarize the construction and implications of Modigliani & Brumberg's Life-Cycle Hypothesis [4] and Laibson's quasi-hyperbolic consumption function [8

Morrow, James A.

295

On an Investment-Consumption model with transaction costs  

E-Print Network [OSTI]

On an Investment-Consumption model with transaction* Abstract This paper considers the optimal consumption and investment policy for* * an investor of consumption. Dynamic Programming leads to a Variational* * Inequality for the value function

Menaldi, Jose-Luis

296

Consumption of Imipenem Correlates with ?-Lactam Resistance in Pseudomonas aeruginosa  

Science Journals Connector (OSTI)

...Microbiology ARTICLE CLINICAL THERAPEUTICS Consumption of Imipenem Correlates with b-Lactam...from 1997 to 2000, we monitored the consumption of b-lactam and other antibiotics...Partial correlation coefficients between consumption and resistance rates were determined...

Philipp M. Lepper; Eberhard Grusa; Helga Reichl; Josef Högel; Matthias Trautmann

2002-09-01T23:59:59.000Z

297

Consumption patterns, complexity and enrichment in aquatic food chains  

Science Journals Connector (OSTI)

...22 May 1998 research-article Consumption patterns, complexity and enrichment...patterns resembling ratio-dependent consumption. However, whereas the prey-dependent...prey-dependent|enrichment|omnivory| Consumption patterns, complexity and enrichment...

1998-01-01T23:59:59.000Z

298

Uncertainties in Energy Consumption Introduced by Building Operations and  

E-Print Network [OSTI]

Uncertainties in Energy Consumption Introduced by Building Operations and Weather for a Medium between predicted and actual building energy consumption can be attributed to uncertainties introduced in energy consumption due to actual weather and building operational practices, using a simulation

299

National Seafood Consumption Survey: Overview of Survey Methodology & Implementation Strategy  

E-Print Network [OSTI]

National Seafood Consumption Survey: Overview of Survey Methodology & Implementation Strategy Methodology The primary objective of NOAA Fisheries National Seafood Consumption Survey was to gather information about people's purchase and consumption behaviors of various seafood products. These behavioral

300

Using occupancy to reduce energy consumption of buildings  

E-Print Network [OSTI]

Meter allows us to study the energy consumption patterns onThis allows us to study the energy consumption of individualgives us a good framework to study the energy consumption

Balaji, Bharathan

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "activities including consumption" 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 Energy Consumption Survey (RECS) - Analysis & Projections -  

Gasoline and Diesel Fuel Update (EIA)

Where does RECS square footage data come from? Where does RECS square footage data come from? RECS 2009 - Release date: July 11, 2012 The size of a home is a fixed characteristic strongly associated with the amount of energy consumed within it, particularly for space heating, air conditioning, lighting, and other appliances. As a part of the Residential Energy Consumption Survey (RECS), trained interviewers measure the square footage of each housing unit. RECS square footage data allow comparison of homes with varying characteristics. In-person measurements are vital because many alternate data sources, including property tax records, real estate listings, and, respondent estimates use varying definitions and under-estimate square footage as defined for the purposes of evaluating residential energy consumption.

302

Power consumption in gas-inducing-type mechanically agitated contactors  

SciTech Connect (OSTI)

Power consumption was measured in 0.57, 1.0, and 1.5 m i.d. gas inducing type of mechanically agitated contactors (GIMAC) using single and multiple impellers. The ratio of impeller diameter to vessel diameter was varied in the range of 0.13 < D/T < 0.59. The effect of liquid submergence from the top and impeller clearance from the vessel bottom was investigated in detail. In the case of multiple impeller systems, six different designs were investigated. The designs included pitched blade downflow turbine (PBTD), pitched blade upflow turbine (PBTU), downflow propeller (PD), upflow propeller (PU), straight bladed turbine (SBT) and disc turbine (DT). The effect of interimpeller clearance was studied for the multiple impeller system. The effect of impeller speed was studied in the range of 0.13 < N < 13.5 rotations/s. A mathematical model has been developed for power consumption before and after the onset of gas induction.

Saravanan, K.; Mundale, V.D.; Patwardhan, A.W.; Joshi, J.B. [Univ. of Bombay (India). Dept. of Chemical Technology] [Univ. of Bombay (India). Dept. of Chemical Technology

1996-05-01T23:59:59.000Z

303

Residential Lighting End-Use Consumption  

Broader source: Energy.gov [DOE]

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

304

Table 6.2 Consumption Ratios of Fuel, 2002  

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

2 Consumption Ratios of Fuel, 2002;" 2 Consumption Ratios of Fuel, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,"Consumption" " ",,"Consumption","per Dollar"," " " ","Consumption","per Dollar","of Value","RSE" "Economic","per Employee","of Value Added","of Shipments","Row" "Characteristic(a)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

305

" Column: Energy-Consumption Ratios;"  

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

3 Consumption Ratios of Fuel, 2006;" 3 Consumption Ratios of Fuel, 2006;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES"

306

" Column: Energy-Consumption Ratios;"  

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

3 Consumption Ratios of Fuel, 2002;" 3 Consumption Ratios of Fuel, 2002;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

307

Consumption & Efficiency - U.S. Energy Information Administration (EIA)  

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

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports Technical Workshop on Behavior Economics Presentations Technical Workshop on Behavior Economics Presentations Cost of Natural Gas Used in Manufacturing Sector Has Fallen Graph showing Cost of Natural Gas Used in Manufacturing Sector Has Fallen Source: U.S. Energy Information Administration, Manufacturing Energy

308

Federal Energy Management Program: Data Center Energy Consumption Trends  

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

Data Center Energy Data Center Energy Consumption Trends to someone by E-mail Share Federal Energy Management Program: Data Center Energy Consumption Trends on Facebook Tweet about Federal Energy Management Program: Data Center Energy Consumption Trends on Twitter Bookmark Federal Energy Management Program: Data Center Energy Consumption Trends on Google Bookmark Federal Energy Management Program: Data Center Energy Consumption Trends on Delicious Rank Federal Energy Management Program: Data Center Energy Consumption Trends on Digg Find More places to share Federal Energy Management Program: Data Center Energy Consumption Trends on AddThis.com... Sustainable Buildings & Campuses Operations & Maintenance Greenhouse Gases Water Efficiency Data Center Energy Efficiency Energy Consumption Trends

309

Fact #839: September 22, 2014 World Petroleum Consumption Continues...  

Energy Savers [EERE]

39: September 22, 2014 World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe Fact 839: September 22, 2014 World Petroleum Consumption...

310

Fact #749: October 15, 2012 Petroleum and Natural Gas Consumption...  

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

9: October 15, 2012 Petroleum and Natural Gas Consumption for Transportation by State, 2010 Fact 749: October 15, 2012 Petroleum and Natural Gas Consumption for Transportation by...

311

Complex System Method to Assess Commercial Vehicle Fuel Consumption...  

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

Complex System Method to Assess Commercial Vehicle Fuel Consumption Complex System Method to Assess Commercial Vehicle Fuel Consumption Two case studies for commercial vehicle...

312

Fact #705: December 12, 2011 Fuel Consumption Standards for Combinatio...  

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

5: December 12, 2011 Fuel Consumption Standards for Combination Tractors Fact 705: December 12, 2011 Fuel Consumption Standards for Combination Tractors The National Highway...

313

Lubricant Formulation and Consumption Effects on Diesel Exhaust...  

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

Lubricant Formulation and Consumption Effects on Diesel Exhaust Ash Emissions: Lubricant Formulation and Consumption Effects on Diesel Exhaust Ash Emissions: 2005 Diesel Engine...

314

Fact #706: December 19, 2011 Vocational Vehicle Fuel Consumption...  

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

6: December 19, 2011 Vocational Vehicle Fuel Consumption Standards Fact 706: December 19, 2011 Vocational Vehicle Fuel Consumption Standards The National Highway Traffic Safety...

315

Table E7.1. Consumption Ratios of Fuel, 1998  

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

1. Consumption Ratios of Fuel, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy-Consumption Ratios;" " Unit:...

316

Impact of Driving Behavior on PHEV Fuel Consumption for Different...  

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

Driving Behavior on PHEV Fuel Consumption for Different Powertrain, Component Sizes and Control Impact of Driving Behavior on PHEV Fuel Consumption for Different Powertrain,...

317

Fuel Consumption and Cost Benefits of DOE Vehicle Technologies...  

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

Fuel Consumption and Cost Benefits of DOE Vehicle Technologies Program Fuel Consumption and Cost Benefits of DOE Vehicle Technologies Program 2012 DOE Hydrogen and Fuel Cells...

318

Federal Offshore -- Gulf of Mexico Natural Gas Total Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

-- Gulf of Mexico Natural Gas Total Consumption (Million Cubic Feet) Federal Offshore -- Gulf of Mexico Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1...

319

Comparison of Real World Energy Consumption to Models and DOE...  

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

Comparison of Real World Energy Consumption to Models and DOE Test Procedures Comparison of Real World Energy Consumption to Models and DOE Test Procedures This study investigates...

320

Power to the Plug: An Introduction to Energy, Electricity, Consumption...  

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

to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency Power to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency Below is...

Note: This page contains sample records for the topic "activities including consumption" 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

New Water Booster Pump System Reduces Energy Consumption by 80...  

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

Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases Reliability New Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases...

322

Hydraulic HEV Fuel Consumption Potential | Department of Energy  

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

Consumption Potential Hydraulic HEV Fuel Consumption Potential 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation...

323

Manufacturing Energy Consumption Survey (MECS) - Data - U.S....  

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

| 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total First Use (formerly Primary Consumption) of Energy...

324

Reducing fuel consumption on the field, by continuously measuring...  

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

fuel consumption on the field, by continuously measuring fuel quality on electronically fuel injected engines. Reducing fuel consumption on the field, by continuously measuring...

325

The Impact of Oil Consumption Mechanisms on Diesel Exhaust Particle...  

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

Oil Consumption Mechanisms on Diesel Exhaust Particle Size Distributions and Detailed Exhaust Chemical Composition The Impact of Oil Consumption Mechanisms on Diesel Exhaust...

326

Fact Sheet: Gas Prices and Oil Consumption Would Increase Without...  

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

Gas Prices and Oil Consumption Would Increase Without Biofuels Fact Sheet: Gas Prices and Oil Consumption Would Increase Without Biofuels Secretary of Energy Samuel W. Bodman and...

327

Reducing power consumption while performing collective operations on a plurality of compute nodes  

DOE Patents [OSTI]

Methods, apparatus, and products are disclosed for reducing power consumption while performing collective operations on a plurality of compute nodes that include: receiving, by each compute node, instructions to perform a type of collective operation; selecting, by each compute node from a plurality of collective operations for the collective operation type, a particular collective operation in dependence upon power consumption characteristics for each of the plurality of collective operations; and executing, by each compute node, the selected collective operation.

Archer, Charles J. (Rochester, MN); Blocksome, Michael A. (Rochester, MN); Peters, Amanda E. (Rochester, MN); Ratterman, Joseph D. (Rochester, MN); Smith, Brian E. (Rochester, MN)

2011-10-18T23:59:59.000Z

328

One of These Homes is Not Like the Other: Residential Energy Consumption Variability  

E-Print Network [OSTI]

consumption. Total energy consumption (in thousand BTUs) waselectricity and total energy consumption. Because all homesin gas, electric, and total energy consumption. Removing

Kelsven, Phillip

2013-01-01T23:59:59.000Z

329

Energy consumption, carbon dioxide emissions and economic growth: The case of Saudi Arabia  

Science Journals Connector (OSTI)

Abstract This paper investigates the dynamic causal relationships between energy consumption, energy price and economic activity in Saudi Arabia based on a demand side approach. We use a Johansen multivariate cointegration approach and incorporate CO2 emissions as a control variable. The results indicate that there exists at least a long-run relationship between energy consumption, energy price, carbon dioxide emissions, and economic growth. Furthermore, a long-run unidirectional causality stands from energy consumption to economic growth and CO2 emissions, bidirectional causality between carbon dioxide emissions and economic growth, and a long-run unidirectional causality runs from energy price to economic growth and CO2 emissions. In the short-run, there is unidirectional causality running from CO2 emissions to energy consumption and economic output and from energy price to CO2 emissions. Even though, the energy-led growth hypothesis is valid, the share of energy consumption in explaining economic growth is minimal. Energy price is the most important factor in explaining economic growth. Hence, policies aimed at reducing energy consumption and controlling for CO2 emissions may not reduce significantly Saudi?s economic growth. Investing in the use of renewable energy sources like solar and wind power is an urgent necessity to control for fossil fuel consumption and CO2 emissions.

Atef Saad Alshehry; Mounir Belloumi

2015-01-01T23:59:59.000Z

330

Activities  

Broader source: Energy.gov [DOE]

Activities and events provide Residential Network members the opportunity to discuss similar needs and challenges, and to collectively identify effective strategies and useful resources.

331

Sponsorship includes: Agriculture in the  

E-Print Network [OSTI]

Sponsorship includes: · Agriculture in the Classroom · Douglas County Farm Bureau · Gifford Farm · University of Nebraska Agricultural Research and Development Center · University of Nebraska- Lincoln Awareness Coalition is to help youth, primarily from urban communities, become aware of agriculture

Nebraska-Lincoln, University of

332

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2006;" 6 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

333

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," "," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)","Row"

334

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

335

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2010;" 5 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

336

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2002;" 5 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Row"

337

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2010;" 6 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

338

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2002;" 6 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

339

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2006;" 5 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

340

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

Gasoline and Diesel Fuel Update (EIA)

EIA household energy use data now includes detail on 16 States EIA household energy use data now includes detail on 16 States RECS 2009 - Release date: March 28, 2011 EIA is releasing new benchmark estimates for home energy use for the year 2009 that include detailed data for 16 States, 12 more than in past EIA residential energy surveys. EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four Census Regions and nine Divisions. In 1997, EIA produced additional tabulations for the four most populous States (California, New York, Texas, and Florida). A threefold increase in the number of households included in the 2009 RECS offers more accuracy and coverage for understanding energy usage for all estimated States, Regions and Divisions.

Note: This page contains sample records for the topic "activities including consumption" 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

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

342

Household Vehicles Energy Consumption 1991  

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

Aggregate Aggregate Ratio: See Mean and Ratio Estimate. AMPD: Average miles driven per day. See Appendix B, "Estimation Methodologies." Annual Vehicle Miles Traveled: See Vehicle Miles Traveled. Automobile: Includes standard passenger car, 2-seater car and station wagons; excludes passenger vans, cargo vans, motor homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for all RTECS households divided by the total number of households. See Ratio Estimate, and Combined Household Energy Expenditures. Average Number of Vehicles per Household: The average number of vehicles used by a household for personal transportation during 1991. For this report, the average number of vehicles per household is computed as the ratio of the total number of vehicles to the

343

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

7A. Total District Heat Consumption and Expenditures for All Buildings, 2003 7A. Total District Heat Consumption and Expenditures for All Buildings, 2003 All Buildings Using District Heat District Heat Consumption District Heat Expenditures Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) Total (million dollars) All Buildings ................................ 67 5,576 83 636 7,279 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ Q Q Q Q Q 5,001 to 10,000 .............................. Q Q Q Q Q 10,001 to 25,000 ............................ 18 289 16 Q Q 25,001 to 50,000 ............................ 10 369 35 Q Q 50,001 to 100,000 .......................... 8 574 70 Q Q 100,001 to 200,000 ........................ 9 1,399 148 165 Q

344

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

3A. Total Natural Gas Consumption and Expenditures in All Buildings, 2003 3A. Total Natural Gas Consumption and Expenditures in All Buildings, 2003 All Buildings Using Natural Gas Natural Gas Consumption Natural Gas Expenditures Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) Total (billion cubic feet) Total (million dollars) All Buildings ................................ 2,538 48,473 19.1 2,100 2,037 16,010 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 1,134 3,175 2.8 257 249 2,227 5,001 to 10,000 .............................. 531 3,969 7.5 224 218 1,830 10,001 to 25,000 ............................ 500 7,824 15.6 353 343 2,897 25,001 to 50,000 ............................ 185 6,604 35.8 278 270 2,054

345

US Mnt(N) CO Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

Mnt(N) CO Mnt(N) CO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(N) CO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US Mnt(N) CO Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US Mnt(N) CO Expenditures dollars ELECTRICITY ONLY average per household * Colorado households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Average household energy costs in Colorado are 23% less than the national average, primarily due to historically lower natural gas prices in the state. * Average electricity consumption per household is lower than most other states, as Colorado residents do not commonly use electricity for main space heating, air

346

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

8A. District Heat Consumption and Expenditure Intensities for All Buildings, 2003 8A. District Heat Consumption and Expenditure Intensities for All Buildings, 2003 District Heat Consumption District Heat Expenditures per Building (million Btu) per Square Foot (thousand Btu) per Building (thousand dollars) per Square Foot (dollars) per Thousand Pounds (dollars) All Buildings ................................ 9,470 113.98 108.4 1.31 11.45 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ Q Q Q Q Q 5,001 to 10,000 .............................. Q Q Q Q Q 10,001 to 25,000 ............................ Q Q Q Q Q 25,001 to 50,000 ............................ Q Q Q Q Q 50,001 to 100,000 .......................... Q Q Q Q Q 100,001 to 200,000 ........................ 17,452 118.10 Q Q Q

347

US Mnt(N) CO Site Consumption  

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

Mnt(N) CO Mnt(N) CO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(N) CO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US Mnt(N) CO Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US Mnt(N) CO Expenditures dollars ELECTRICITY ONLY average per household * Colorado households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Average household energy costs in Colorado are 23% less than the national average, primarily due to historically lower natural gas prices in the state. * Average electricity consumption per household is lower than most other states, as Colorado residents do not commonly use electricity for main space heating, air

348

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

3A. Total Fuel Oil Consumption and Expenditures for All Buildings, 2003 3A. Total Fuel Oil Consumption and Expenditures for All Buildings, 2003 All Buildings Using Fuel Oil Fuel Oil Consumption Fuel Oil Expenditures Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) Total (million gallons) Total (million dollars) All Buildings ................................ 465 16,265 35 228 1,644 1,826 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 211 606 3 34 249 292 5,001 to 10,000 .............................. 102 736 7 36 262 307 10,001 to 25,000 ............................ 66 1,043 16 28 201 238 25,001 to 50,000 ............................ 24 895 38 17 124 134 50,001 to 100,000 .......................... 25 1,852 76 29 209 229

349

Monitoring and Management of Refinery Energy Consumption  

E-Print Network [OSTI]

the effects of same other nOl1"operational variables on the energy target. Figure 10 shows the results of the monitoring period in rep;Jrt form. The actual consumption for each utility is listed and converted to energy content. The base target consumption... ===============~===~.========.=.=====.=========~====================~===== ENERGY TOTAL CONTENT ENEF~GY ACTW~L CONSUMPT I ON UI\\lITS BTU/UI\\lIT MMBTU/DAY FUEL G?\\S: 441425.0 SCFH 1401.0 14842.5 FUEL OIL: O.C' BPO 6470000.0 0.0 HP STEAI1: -79344.0 tt/Hf~ 1136. C' -2163.2 MP STEAI1: 48488.0 tt/HR 952.0 1107.9 LP STEAM: BFW...

Pelham, R. O.; Moriarty, R. D.; Hudgens, P. D.

350

Sample design for the residential energy consumption survey  

SciTech Connect (OSTI)

The purpose of this report is to provide detailed information about the multistage area-probability sample design used for the Residential Energy Consumption Survey (RECS). It is intended as a technical report, for use by statisticians, to better understand the theory and procedures followed in the creation of the RECS sample frame. For a more cursory overview of the RECS sample design, refer to the appendix entitled ``How the Survey was Conducted,`` which is included in the statistical reports produced for each RECS survey year.

Not Available

1994-08-01T23:59:59.000Z

351

The electricity consumption impacts of commercial energy management systems  

SciTech Connect (OSTI)

An investigation of energy management systems (EMS) in large commercial and institutional buildings in North Carolina was undertaken to determine how EMS currently affect electricity consumption and what their potential is for being used to reduce on-peak electricity demand. A survey was mailed to 5000 commercial customers; the 430 responses were tabulated and analyzed; EMS vendors were interviewed, and 30 sites were investigated in detail. The detailed assessments included a site interview and reconstruction of historic billing data to evaluate EMS impact, if any. The results indicate that well-tuned EMS can result in a 10 to 40 percent reduction in billed demand, and smaller reductions in energy.

Buchanan, S.; Taylor, R.; Paulos, S.; Warren, W.; Hay, J.

1989-02-01T23:59:59.000Z

352

A Look at Principal Building Activities in Commercial Buildings  

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

Home > Commercial Buildings Home> Special Topics > 1995 Principal Home > Commercial Buildings Home> Special Topics > 1995 Principal Building Activities Office Education Health Care Retail and Service Food Service Food Sales Lodging Religious Worship Public Assembly Public Order and Safety Warehouse and Storage Vacant Other Summary Comparison Table (All Activities) More information on the: Commercial Buildings Energy Consumption Survey A Look at ... Principal Building Activities in the Commercial Buildings Energy Consumption Survey (CBECS) When you look at a city skyline, most of the buildings you see are commercial buildings. In the CBECS, commercial buildings include office buildings, shopping malls, hospitals, churches, and many other types of buildings. Some of these buildings might not traditionally be considered "commercial," but the CBECS includes all buildings that are not residential, agricultural, or industrial.

353

Physical Activity and Postmenopausal Breast Cancer Risk in the NIH-AARP Diet and Health Study  

Science Journals Connector (OSTI)

...activities at work or home, including...6.3 Total energy intake (kcal...Results During an average of 7 years of...Women were an average age of 62...had the lowest average BMI despite greater total energy consumption. Similar to...

Tricia M. Peters; Arthur Schatzkin; Gretchen L. Gierach; Steven C. Moore; James V. Lacey, Jr.; Nicholas J. Wareham; Ulf Ekelund; Albert R. Hollenbeck; and Michael F. Leitzmann

2009-01-01T23:59:59.000Z

354

Appendix F Cultural Resources, Including  

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

Appendix F Appendix F Cultural Resources, Including Section 106 Consultation STATE OF CALIFORNIA - THE RESOURCES AGENCY EDMUND G. BROWN, JR., Governor OFFICE OF HISTORIC PRESERVATION DEPARTMENT OF PARKS AND RECREATION 1725 23 rd Street, Suite 100 SACRAMENTO, CA 95816-7100 (916) 445-7000 Fax: (916) 445-7053 calshpo@parks.ca.gov www.ohp.parks.ca.gov June 14, 2011 Reply in Reference To: DOE110407A Angela Colamaria Loan Programs Office Environmental Compliance Division Department of Energy 1000 Independence Ave SW, LP-10 Washington, DC 20585 Re: Topaz Solar Farm, San Luis Obispo County, California Dear Ms. Colamaria: Thank you for seeking my consultation regarding the above noted undertaking. Pursuant to 36 CFR Part 800 (as amended 8-05-04) regulations implementing Section

355

Countries Gasoline Prices Including Taxes  

Gasoline and Diesel Fuel Update (EIA)

Countries (U.S. dollars per gallon, including taxes) Countries (U.S. dollars per gallon, including taxes) Date Belgium France Germany Italy Netherlands UK US 01/13/14 7.83 7.76 7.90 8.91 8.76 8.11 3.68 01/06/14 8.00 7.78 7.94 8.92 8.74 8.09 3.69 12/30/13 NA NA NA NA NA NA 3.68 12/23/13 NA NA NA NA NA NA 3.63 12/16/13 7.86 7.79 8.05 9.00 8.78 8.08 3.61 12/9/13 7.95 7.81 8.14 8.99 8.80 8.12 3.63 12/2/13 7.91 7.68 8.07 8.85 8.68 8.08 3.64 11/25/13 7.69 7.61 8.07 8.77 8.63 7.97 3.65 11/18/13 7.99 7.54 8.00 8.70 8.57 7.92 3.57 11/11/13 7.63 7.44 7.79 8.63 8.46 7.85 3.55 11/4/13 7.70 7.51 7.98 8.70 8.59 7.86 3.61 10/28/13 8.02 7.74 8.08 8.96 8.79 8.04 3.64 10/21/13 7.91 7.71 8.11 8.94 8.80 8.05 3.70 10/14/13 7.88 7.62 8.05 8.87 8.74 7.97 3.69

356

LifeCycle Water Consumption of  

E-Print Network [OSTI]

of agricultural consumption · Analytical tools development #12;· 1/3 of Less Developed Countries predicted to have insufficient water resources to meet their needs by 2025 · Agriculture = 70% of withdrawn water ­ LCAbased policies ­ CA LCFS 3. But a good GHG LCA does not a responsible product make "Sustainability

Keller, Arturo A.

357

Coal consumption and economic growth in China  

Science Journals Connector (OSTI)

The aim of this paper is to re-examine the relationship between coal consumption and real GDP of China with the use of panel data. This paper applies modern panel data techniques to help shed light on the importance of the heterogeneity among different regions within China. Empirical analyses are conducted for the full panel as well as three subgroups of the panel. The empirical results show that coal consumption and GDP are both I(1) and cointegrated in all regional groupings. Heterogeneity is found in the GDP equation of the full panel. The regional causality tests reveal that the coal consumption–GDP relationship is bidirectional in the Coastal and Central regions whereas causality is unidirectional from GDP to coal consumption in the Western region. Thus, energy conservation measures will not adversely affect the economic growth of the Western region but such measures will likely encumber the economy of the Coastal and Central regions, where most of the coal intensive industries are concentrated.

Raymond Li; Guy C.K. Leung

2012-01-01T23:59:59.000Z

358

A Comparison of the Demographic Characteristics, Movtiations for Fishing, and Consumptive Orientation of Texas Urban and Rural Anglers  

E-Print Network [OSTI]

, was determined on the basis of United States Census Bureau criteria. Dependent variables included demographic variables (e.g., gender, age, race/ethnicity, and income), motivations for fishing, and consumptive orientation. Analysis of variance (ANOVA) and Kruskal-Wallis...

Wolber, Nathan

2010-01-16T23:59:59.000Z

359

Organotin intake through fish consumption in Finland  

SciTech Connect (OSTI)

Background: Organotin compounds (OTCs) are a large class of synthetic chemicals with widely varying properties. Due to their potential adverse health effects, their use has been restricted in many countries. Humans are exposed to OTCs mostly through fish consumption. Objectives: The aim of this study was to describe OTC exposure through fish consumption and to assess the associated potential health risks in a Finnish population. Methods: An extensive sampling of Finnish domestic fish was carried out in the Baltic Sea and freshwater areas in 2005-2007. In addition, samples of imported seafood were collected in 2008. The chemical analysis was performed in an accredited testing laboratory during 2005-2008. Average daily intake of the sum of dibutyltin (DBT), tributyltin (TBT), triphenyltin (TPhT) and dioctyltin (DOT) ({Sigma}OTCs) for the Finnish population was calculated on the basis of the measured concentrations and fish consumption rates. Results: The average daily intake of {Sigma}OTCs through fish consumption was 3.2 ng/kg bw day{sup -1}, which is 1.3% from the Tolerable Daily Intake (TDI) of 250 ng/kg bw day{sup -1} set by the European Food Safety Authority. In total, domestic wild fish accounted for 61% of the {Sigma}OTC intake, while the intake through domestic farmed fish was 4.0% and the intake through imported fish was 35%. The most important species were domestic perch and imported salmon and rainbow trout. Conclusions: The Finnish consumers are not likely to exceed the threshold level for adverse health effects due to OTC intake through fish consumption.

Airaksinen, Riikka, E-mail: Riikka.Airaksinen@thl.fi [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland)] [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland); Rantakokko, Panu; Turunen, Anu W.; Vartiainen, Terttu [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland)] [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland); Vuorinen, Pekka J.; Lappalainen, Antti; Vihervuori, Aune [Finnish Game and Fisheries Research Institute, Helsinki (Finland)] [Finnish Game and Fisheries Research Institute, Helsinki (Finland); Mannio, Jaakko [Finnish Environment Institute, Helsinki (Finland)] [Finnish Environment Institute, Helsinki (Finland); Hallikainen, Anja [Finnish Food Safety Authority Evira, Helsinki (Finland)] [Finnish Food Safety Authority Evira, Helsinki (Finland)

2010-08-15T23:59:59.000Z

360

A fuel consumption model for off-road use of mobile machinery in agriculture  

Science Journals Connector (OSTI)

Abstract Until 2009, the annual reporting of emissions by off-road transport in agriculture in Belgium was based on a 1994 calculation model that needed to be updated. An energy consumption model was established for plant production in Belgium as a backbone for a new emission model. The model starts from agricultural activities involving off-road fuel consumption. Effects of soil type, tractor size, field size and machine load are modelled. Twenty-seven \\{FCIs\\} (fuel consumption indicators) were computed for plant production. \\{FCIs\\} are expressed per year and are used for emission estimates on a regional level. \\{FCIs\\} ranged from 37 to 311 L/ha. Sensitivity analysis showed the highest impact of tractor size with a surplus fuel consumption between 10 and 41% depending on the crop type. Fuel consumption (L) can be further processed into greenhouse gas emissions. \\{FCIs\\} can be adopted in LCA (life cycle assessment) studies. With ?310 L/ha, orchards are most fuel intensive, followed by field vegetables and sugar beets (?150 L/ha). The total off-road energy consumption of field vegetables is high because second cropping is a common practice.

Veerle Van linden; Lieve Herman

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "activities including consumption" 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

Evaluation of Efficiency Activities in the Industrial Sector Undertaken in Response to Greenhouse Gas Emission Reduction Targets  

E-Print Network [OSTI]

TPER) includes total energy consumption and energy used inrepresented 52% of the total energy consumption of the LIEN.of 2 to 4% of total energy consumption per agreement after

Price, Lynn

2010-01-01T23:59:59.000Z

362

China's Industrial Energy Consumption Trends and Impacts of the Top-1000  

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

China's Industrial Energy Consumption Trends and Impacts of the Top-1000 China's Industrial Energy Consumption Trends and Impacts of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects Title China's Industrial Energy Consumption Trends and Impacts of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects Publication Type Journal Year of Publication 2012 Authors Ke, Jing, Lynn K. Price, Stephanie Ohshita, David Fridley, Nina Zheng Khanna, Nan Zhou, and Mark D. Levine Keywords energy saving, energy trends, industrial energy efficiency, top-1000 Abstract This study analyzes China's industrial energy consumption trends from 1996 to 2010 with a focus on the impact of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects. From 1996 to 2010, China's industrial energy consumption increased by 134%, even as the industrial economic energy intensity decreased by 46%. Decomposition analysis shows that the production effect was the dominant cause of the rapid growth in industrial energy consumption, while the efficiency effect was the major factor slowing the growth of industrial energy consumption. The structural effect had a relatively small and fluctuating influence. Analysis shows the strong association of industrial energy consumption with the growth of China's economy and changing energy policies. An assessment of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects indicates that the economic energy intensity of major energy-intensive industrial sub-sectors, as well as the physical energy intensity of major energy-intensive industrial products, decreased significantly during China's 11th Five Year Plan (FYP) period (2006-2010). This study also shows the importance and challenge of realizing structural change toward less energy-intensive activities in China during the 12th FYP period (2011-2015).

363

Energy Information Administration - Energy Efficiency-Table 5a. Consumption  

Gasoline and Diesel Fuel Update (EIA)

5a 5a Page Last Modified: June 2010 Table 5a. Consumption of Energy for All Purposes (First Use) per Value of Production, 1998, 2002, and 2006 (1000 Btu per constant 2000 dollar 1) MECS Survey Years Iron and Steel Mills (NAICS2 331111) 1998 3 2002 3 2006 3 Total 4 30 27 17 Net Electricity5 3 4 3 Natural Gas 9 9 6 Coal 13 10 6 Notes:1. Value of production is deflated by the chain-type price indices for iron and steel mills shipments. 2. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 3. Denominators represent the value of production for the entire iron and still mills (NAICS 331111), not those based mainly on electric, natural gas or coal.

364

A look at commercial buildings in 1995: Characteristics, energy consumption, and energy expenditures  

SciTech Connect (OSTI)

The commercial sector consists of business establishments and other organizations that provide services. The sector includes service businesses, such as retail and wholesale stores, hotels and motels, restaurants, and hospitals, as well as a wide range of facilities that would not be considered commercial in a traditional economic sense, such as public schools, correctional institutions, and religious and fraternal organizations. Nearly all energy use in the commercial sector takes place in, or is associated with, the buildings that house these commercial activities. Analysis of the structures, activities, and equipment associated with different types of buildings is the clearest way to evaluate commercial sector energy use. The Commercial Buildings Energy Consumption Survey (CBECS) is a national-level sample survey of commercial buildings and their energy suppliers conducted quadrennially (previously triennially) by the Energy Information Administration (EIA). The target population for the 1995 CBECS consisted of all commercial buildings in the US with more than 1,000 square feet of floorspace. Decision makers, businesses, and other organizations that are concerned with the use of energy--building owners and managers, regulators, legislative bodies and executive agencies at all levels of government, utilities and other energy suppliers--are confronted with a buildings sector that is complex. Data on major characteristics (e.g., type of building, size, year constructed, location) collected from the buildings, along with the amount and types of energy the buildings consume, help answer fundamental questions about the use of energy in commercial buildings.

NONE

1998-10-01T23:59:59.000Z

365

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

Table C13. Total Electricity Consumption and Expenditures for Non-Mall Buildings, 2003 All Buildings* Using Electricity Electricity Consumption Electricity Expenditures Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Primary Site Total (million dollars) Total (trillion Btu) Total (trillion Btu) Total (billion kWh) All Buildings* ............................... 4,404 63,307 14.4 9,168 3,037 890 69,032 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,384 6,346 2.7 1,164 386 113 10,348 5,001 to 10,000 .............................. 834 6,197 7.4 790 262 77 7,296 10,001 to 25,000 ............................ 727 11,370 15.6 1,229 407 119 10,001

366

Table 3.1 Fuel Consumption, 2010;  

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

1 Fuel Consumption, 2010; 1 Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Net Residual Distillate Natural Gas(d) LPG and Coal and Breeze NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) (billion NGL(e) (million (million Other(f) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 1,158 75,407 2 4 563 1 8 * 99 3112 Grain and Oilseed Milling 350 16,479 * * 118 * 6 0 45 311221 Wet Corn Milling 214 7,467 * * 51 * 5 0 25 31131 Sugar Manufacturing 107 1,218 * * 15 * 2 * 36 3114 Fruit and Vegetable Preserving and Specialty Foods 143 9,203

367

Electricity Demand and Energy Consumption Management System  

E-Print Network [OSTI]

This project describes the electricity demand and energy consumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

Sarmiento, Juan Ojeda

2008-01-01T23:59:59.000Z

368

Energy Consumption ESPRIMO E7935 E80+  

E-Print Network [OSTI]

joined the "Green Grid" and "Climate Savers Computing" initiatives and publishes SPECpower benchmark (WOL enabled) 4) 96.7 kWh/year Heat dissipation, WOL enabled (MJ, 1 W = 3.6 kJ/h) 348.3 MJ/year Heat Consumption (WOL enabled) 4) 103.6 kWh/year Heat dissipation, WOL enabled (MJ, 1 W = 3.6 kJ/h) 373.0 MJ

Ott, Albrecht

369

Removal of 137Cs in Japanese Catfish during Preparation for Consumption  

Science Journals Connector (OSTI)

......during Preparation for Consumption M. A. Malek 1 * M...address: Bangladesh Atomic Energy Commission, 4, Kazi...pieces retained, on average, 38.5% of the radioactivity...was found to contain an average of 34.8% of the activity...concluded that normal home preparation and culinary......

M. A. Malek; M. Nakahara; R. Nakamura

2004-06-01T23:59:59.000Z

370

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

8A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 8A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) West North Central South Atlantic East South Central West North Central South Atlantic East South Central West North Central South Atlantic East South Central All Buildings ................................ 178 238 104 3,788 7,286 2,521 47.0 32.7 41.3 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 23 27 11 346 360 218 66.6 75.8 51.9 5,001 to 10,000 .............................. 14 36 Q 321 662 Q 45.1 53.8 Q 10,001 to 25,000 ............................ 31 33 Q 796 1,102 604 39.5 29.9 Q

371

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for Non-Mall Buildings, 2003 . Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/square foot) 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 All Buildings* ............................. 1,488 2,794 1,539 17,685 29,205 17,893 84.1 95.7 86.0 Building Floorspace (Square Feet) 1,001 to 5,000 .............................. 191 290 190 2,146 2,805 1,838 89.1 103.5 103.5 5,001 to 10,000 ............................ 131 231 154 1,972 2,917 1,696 66.2 79.2 91.0 10,001 to 25,000 .......................... 235 351 191 3,213 4,976 3,346 73.1 70.5 57.0

372

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

0A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 0A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 All Buildings .............................. 454 715 356 378 134 8,486 14,122 8,970 11,796 5,098 53.5 50.6 39.7 32.0 26.3 Building Floorspace (Square Feet) 1,001 to 5,000 ............................. 57 84 35 58 16 666 1,015 427 832 234 84.8 83.1 81.9 69.6 66.6 5,001 to 10,000 ........................... 50 57 33 61 17 666 1,030 639 1,243 392 75.2 54.9 51.2 49.2 44.0

373

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

A. Total Energy Consumption by Major Fuel for All Buildings, 2003 A. Total Energy Consumption by Major Fuel for All Buildings, 2003 All Buildings Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat Primary Site All Buildings ................................ 4,859 71,658 6,523 10,746 3,559 2,100 228 636 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,586 6,922 685 1,185 392 257 34 Q 5,001 to 10,000 .............................. 948 7,033 563 883 293 224 36 Q 10,001 to 25,000 ............................ 810 12,659 899 1,464 485 353 28 Q 25,001 to 50,000 ............................ 261 9,382 742 1,199 397 278 17 Q 50,001 to 100,000 .......................... 147 10,291 913 1,579 523 277 29 Q

374

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 All Buildings .............................. 137 254 189 261 202 11,300 18,549 12,374 17,064 10,894 12.1 13.7 15.3 15.3 18.5 Building Floorspace (Square Feet) 1,001 to 5,000 ............................. 19 27 14 32 23 1,210 1,631 923 1,811 903 15.7 16.4 15.0 17.8 25.8 5,001 to 10,000 ........................... 12 18 15 27 14 1,175 1,639 1,062 1,855 914 10.2 10.9 14.3 14.3 15.5

375

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) North- east Mid- west South West North- east Mid- west South West North- east Mid- west South West All Buildings ................................ 172 234 452 185 13,899 17,725 26,017 12,541 12.4 13.2 17.4 14.7 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 14 30 52 19 1,031 1,742 2,410 1,296 13.5 17.4 21.5 14.6 5,001 to 10,000 .............................. 11 17 37 21 1,128 1,558 2,640 1,319 9.8 10.8 14.0 15.8 10,001 to 25,000 ............................ 22 33 59 28 2,094 3,317 4,746 2,338 10.4 10.0 12.5 12.1

376

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

5A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 5A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) North- east Mid- west South West North- east Mid- west South West North- east Mid- west South West All Buildings ................................ 448 728 511 350 10,162 14,144 15,260 8,907 44.1 51.5 33.5 39.3 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 50 92 68 40 547 1,086 912 629 90.6 84.6 74.5 63.7 5,001 to 10,000 .............................. 39 63 69 46 661 1,064 1,439 806 59.2 59.4 48.1 57.4 10,001 to 25,000 ............................ 58 133 81 70 1,293 2,656 2,332 1,542 45.2 50.1 34.7 45.7

377

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

9A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 9A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) West South Central Moun- tain Pacific West South Central Moun- tain Pacific West South Central Moun- tain Pacific All Buildings ................................ 168 185 165 5,453 3,263 5,644 30.9 56.6 29.2 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 29 18 Q 334 266 363 87.9 68.5 60.2 5,001 to 10,000 .............................. 25 Q Q 545 291 514 45.6 62.7 54.4 10,001 to 25,000 ............................ 20 45 26 626 699 844 32.1 63.9 30.6

378

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) West North Central South Atlantic East South Central West North Central South Atlantic East South Central West North Central South Atlantic East South Central All Buildings ................................ 66 254 57 5,523 13,837 3,546 12.0 18.3 16.2 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 10 28 7 821 1,233 481 12.4 22.4 15.4 5,001 to 10,000 .............................. 7 20 5 681 1,389 386 10.8 14.4 13.3 10,001 to 25,000 ............................ 9 31 12 1,204 2,411 842 7.8 12.8 14.1

379

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

C8. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for Non-Mall Buildings, 2003: Part 2 C8. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for Non-Mall Buildings, 2003: Part 2 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) West North Central South Atlantic East South Central West North Central South Atlantic East South Central West North Central South Atlantic East South Central All Buildings* ............................... 436 1,064 309 5,485 12,258 3,393 79.5 86.8 91.1 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 60 116 36 922 1,207 538 64.9 96.5 67.8 5,001 to 10,000 .............................. 44 103 Q 722 1,387 393 60.5 74.0 Q

380

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

0. Consumption and Gross Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003 0. Consumption and Gross Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 All Buildings* ........................... 990 1,761 1,134 1,213 724 10,622 17,335 11,504 15,739 9,584 93.2 101.6 98.5 77.0 75.5 Building Floorspace (Square Feet) 1,001 to 5,000 ............................ 143 187 90 170 95 1,313 1,709 1,010 1,915 975 108.7 109.6 88.8 89.0 97.9 5,001 to 10,000 .......................... 110 137 91 156 69 1,248 1,725 1,077 2,024 959 88.1 79.3 84.6 77.1 71.7

Note: This page contains sample records for the topic "activities including consumption" 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

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for Non-Mall Buildings, 2003: Part 3 . Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for Non-Mall Buildings, 2003: Part 3 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) West South Central Moun- tain Pacific West South Central Moun- tain Pacific West South Central Moun- tain Pacific All Buildings* ............................... 575 381 530 7,837 3,675 7,635 73.4 103.8 69.4 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 87 44 64 788 464 871 110.9 94.7 73.0 5,001 to 10,000 .............................. 60 36 76 879 418 820 68.2 86.7 92.9 10,001 to 25,000 ............................ 53 76 73 1,329 831 1,256 40.2 91.7 58.4

382

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

Table C8A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 2 Table C8A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 2 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) West North Central South Atlantic East South Central West North Central South Atlantic East South Central West North Central South Atlantic East South Central All Buildings ................................ 456 1,241 340 5,680 13,999 3,719 80.2 88.7 91.4 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 60 123 37 922 1,283 547 64.9 96.2 67.6 5,001 to 10,000 .............................. 45 111 27 738 1,468 420 61.6 75.4 63.2

383

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for Non-Mall Buildings, 2003 . Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) North- east Mid- west South West North- east Mid- west South West North- east Mid- west South West All Buildings* ............................. 1,271 1,690 1,948 911 12,905 17,080 23,489 11,310 98.5 98.9 82.9 80.6 Building Floorspace (Square Feet) 1,001 to 5,000 .............................. 118 206 240 108 1,025 1,895 2,533 1,336 115.1 108.5 94.9 80.6 5,001 to 10,000 ............................ 102 117 185 112 1,123 1,565 2,658 1,239 90.7 74.7 69.5 90.8

384

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 3 A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 3 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) West South Central Moun- tain Pacific West South Central Moun- tain Pacific West South Central Moun- tain Pacific All Buildings ................................ 684 446 617 9,022 4,207 8,613 75.8 106.1 71.6 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 87 44 64 788 466 871 110.9 94.8 73.0 5,001 to 10,000 .............................. 67 39 84 957 465 878 69.7 84.8 95.1 10,001 to 25,000 ............................ 77 91 89 1,555 933 1,429 49.4 97.2 62.4

385

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

C7A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 1 C7A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 1 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) New England Middle Atlantic East North Central New England Middle Atlantic East North Central New England Middle Atlantic East North Central All Buildings ................................ 345 1,052 1,343 3,452 10,543 12,424 99.8 99.7 108.1 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 37 86 147 383 676 986 95.9 127.9 148.9 5,001 to 10,000 .............................. 39 68 83 369 800 939 106.0 85.4 88.2 10,001 to 25,000 ............................ Q 121 187 674 1,448 2,113 Q 83.4 88.4

386

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/square foot) 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 All Buildings ............................... 1,522 3,228 1,772 18,031 33,384 20,243 84.4 96.7 87.6 Building Floorspace (Square Feet) 1,001 to 5,000 .............................. 193 300 193 2,168 2,904 1,850 89.0 103.2 104.2 5,001 to 10,000 ............................ 134 263 165 2,032 3,217 1,784 66.0 81.9 92.5 10,001 to 25,000 .......................... 241 432 226 3,273 5,679 3,707 73.6 76.1 60.9

387

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 All Buildings ............................ 1,086 1,929 1,243 1,386 879 11,529 18,808 12,503 17,630 11,189 94.2 102.6 99.4 78.6 78.6 Building Floorspace (Square Feet) 1,001 to 5,000 ............................ 143 187 90 170 95 1,313 1,709 1,010 1,915 975 108.7 109.6 88.8 89.0 97.9 5,001 to 10,000 .......................... 110 137 91 156 69 1,248 1,725 1,077 2,024 959 88.1 79.3 84.6 77.1 71.7

388

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

4A. Fuel Oil Consumption and Expenditure Intensities for All Buildings, 2003 4A. Fuel Oil Consumption and Expenditure Intensities for All Buildings, 2003 Fuel Oil Consumption Fuel Oil Expenditures per Building (gallons) per Square Foot (gallons) per Building (thousand dollars) per Square Foot (dollars) per Gallon (dollars) All Buildings ................................ 3,533 0.10 3.9 0.11 1.11 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 1,177 0.41 1.4 0.48 1.18 5,001 to 10,000 .............................. 2,573 0.36 3.0 0.42 1.17 10,001 to 25,000 ............................ 3,045 0.19 3.6 0.23 1.18 25,001 to 50,000 ............................ 5,184 0.14 5.6 0.15 1.09 50,001 to 100,000 .......................... 8,508 0.11 9.3 0.12 1.10 100,001 to 200,000 ........................ 12,639 0.09 13.1 0.09 1.03

389

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) West South Central Moun- tain Pacific West South Central Moun- tain Pacific West South Central Moun- tain Pacific All Buildings ................................ 141 68 117 8,634 4,165 8,376 16.3 16.3 14.0 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 17 7 12 696 439 857 24.1 15.7 14.0 5,001 to 10,000 .............................. 12 5 15 865 451 868 13.8 12.1 17.7 10,001 to 25,000 ............................ 16 12 16 1,493 933 1,405 11.0 13.0 11.5

390

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 All Buildings ................................ 162 538 343 17,509 32,945 19,727 9.2 16.3 17.4 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 24 54 38 2,072 2,767 1,640 11.4 19.4 23.0 5,001 to 10,000 .............................. 16 41 29 1,919 3,154 1,572 8.2 13.0 18.4 10,001 to 25,000 ............................ 28 69 45 3,201 5,610 3,683 8.7 12.3 12.2

391

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

4A. Electricity Consumption and Expenditure Intensities for All Buildings, 2003 4A. Electricity Consumption and Expenditure Intensities for All Buildings, 2003 Electricity Consumption Electricity Expenditures per Building (thousand kWh) per Square Foot (kWh) Distribution of Building-Level Intensities (kWh/square foot) 25th Per- centile Median 75th Per- centile per Building (thousand dollars) per Square Foot (dollars) per kWh (dollars) All Buildings ................................ 226 14.9 3.8 8.8 18.1 17.9 1.18 0.079 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 48 17.8 3.8 9.0 20.0 4.4 1.63 0.092 5,001 to 10,000 .............................. 96 12.9 4.0 8.2 15.5 9.2 1.23 0.096 10,001 to 25,000 ............................ 178 11.4 3.1 7.2 15.0 15.2 0.97 0.086

392

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

2A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 2A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 All Buildings ............................... 580 986 471 12,407 22,762 13,304 46.8 43.3 35.4 Building Floorspace (Square Feet) 1,001 to 5,000 ............................... 86 103 61 1,245 1,271 659 69.0 81.0 92.1 5,001 to 10,000 ............................. 57 101 60 1,154 1,932 883 49.4 52.3 67.6 10,001 to 25,000 ........................... 105 174 65 2,452 3,390 1,982 42.6 51.2 32.7

393

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) New England Middle Atlantic East North Central New England Middle Atlantic East North Central New England Middle Atlantic East North Central All Buildings ................................ 41 131 168 3,430 10,469 12,202 12.0 12.5 13.8 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 5 9 20 369 662 921 12.9 13.9 21.9 5,001 to 10,000 .............................. 3 8 9 360 768 877 8.4 10.4 10.8 10,001 to 25,000 ............................ Q 16 24 674 1,420 2,113 Q 11.6 11.2

394

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

5A. Fuel Oil Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 5A. Fuel Oil Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Fuel Oil Consumption (million gallons) Total Floorspace of Buildings Using Fuel Oil (million square feet) Fuel Oil Energy Intensity (gallons/square foot) North- east Mid- west South West North- east Mid- west South West North- east Mid- west South West All Buildings .............................. 1,302 172 107 64 6,464 2,909 4,663 2,230 0.20 0.06 0.02 Q Building Floorspace (Square Feet) 1,001 to 10,000 ............................ 381 Q Q Q 763 Q 274 Q 0.50 Q 0.10 Q 10,001 to 100,000 ........................ 404 63 Q Q 1,806 648 985 351 0.22 0.10 Q Q Over 100,000 ............................... 517 21 45 Q 3,894 2,055 3,404 1,780 0.13 0.01 0.01 Q

395

US MidAtl NY Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

MidAtl NY MidAtl NY Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl NY Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl NY Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl NY Expenditures dollars ELECTRICITY ONLY average per household * New York households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Electricity consumption in New York homes is much lower than the U.S. average, because many households use other fuels for major energy end uses like space heating, water heating, and cooking. Electricity costs are closer to the national average due to higher than average electricity prices in the state.

396

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

C3A. Consumption and Gross Energy Intensity for Sum of Major Fuels for All Buildings, 2003 C3A. Consumption and Gross Energy Intensity for Sum of Major Fuels for All Buildings, 2003 All Buildings Sum of Major Fuel Consumption Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) per Building (million Btu) per Square Foot (thousand Btu) All Buildings ................................ 4,859 71,658 14.7 6,523 1,342 91.0 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,586 6,922 2.7 685 265 99.0 5,001 to 10,000 .............................. 948 7,033 7.4 563 594 80.0 10,001 to 25,000 ............................ 810 12,659 15.6 899 1,110 71.0 25,001 to 50,000 ............................ 261 9,382 36.0 742 2,843 79.0

397

US MidAtl PA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

MidAtl PA MidAtl PA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl PA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl PA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl PA Expenditures dollars ELECTRICITY ONLY average per household * Pennsylvania households consume an average of 96 million Btu per year, 8% more than the U.S. average. Pennsylvania residents also spend 16% more than the average U.S. households for energy consumed in their homes. * Average electricity consumption in Pennsylvania homes is 10,402 kWh per year, which is lower than the national average, but 58% more than New York households and 17% more than New Jersey residents.

398

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

C3. Consumption and Gross Energy Intensity for Sum of Major Fuels for Non-Mall Buildings, 2003 C3. Consumption and Gross Energy Intensity for Sum of Major Fuels for Non-Mall Buildings, 2003 All Buildings* Sum of Major Fuel Consumption Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) per Building (million Btu) per Square Foot (thousand Btu) per Worker (million Btu) All Buildings* ............................... 4,645 64,783 13.9 5,820 1,253 89.8 79.9 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,552 6,789 2.7 672 263 98.9 67.6 5,001 to 10,000 .............................. 889 6,585 7.4 516 580 78.3 68.7 10,001 to 25,000 ............................ 738 11,535 15.6 776 1,052 67.3 72.0 25,001 to 50,000 ............................ 241 8,668 35.9 673 2,790 77.6 75.8

399

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

7A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 7A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) New England Middle Atlantic East North Central New England Middle Atlantic East North Central New England Middle Atlantic East North Central All Buildings ................................ 85 364 550 1,861 8,301 10,356 45.4 43.8 53.1 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ Q 42 69 Q 427 741 Q 98.4 92.9 5,001 to 10,000 .............................. Q 32 49 Q 518 743 Q 62.1 65.5 10,001 to 25,000 ............................ Q 47 102 Q 952 1,860 Q 49.7 54.6

400

US MidAtl PA Site Consumption  

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

MidAtl PA MidAtl PA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl PA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl PA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl PA Expenditures dollars ELECTRICITY ONLY average per household * Pennsylvania households consume an average of 96 million Btu per year, 8% more than the U.S. average. Pennsylvania residents also spend 16% more than the average U.S. households for energy consumed in their homes. * Average electricity consumption in Pennsylvania homes is 10,402 kWh per year, which is lower than the national average, but 58% more than New York households and 17% more than New Jersey residents.

Note: This page contains sample records for the topic "activities including consumption" 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

US MidAtl NY Site Consumption  

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

MidAtl NY MidAtl NY Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl NY Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl NY Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl NY Expenditures dollars ELECTRICITY ONLY average per household * New York households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Electricity consumption in New York homes is much lower than the U.S. average, because many households use other fuels for major energy end uses like space heating, water heating, and cooking. Electricity costs are closer to the national average due to higher than average electricity prices in the state.

402

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Total Energy Consumption by Major Fuel for Non-Mall Buildings, 2003 . Total Energy Consumption by Major Fuel for Non-Mall Buildings, 2003 All Buildings* Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat Primary Site All Buildings* ............................... 4,645 64,783 5,820 9,168 3,037 1,928 222 634 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,552 6,789 672 1,164 386 250 34 Q 5,001 to 10,000 .............................. 889 6,585 516 790 262 209 36 Q 10,001 to 25,000 ............................ 738 11,535 776 1,229 407 309 27 Q 25,001 to 50,000 ............................ 241 8,668 673 1,058 350 258 16 Q 50,001 to 100,000 .......................... 129 9,057 759 1,223 405 244 26 Q

403

Trends in U.S. Residential Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

Trends in U.S. Residential Natural Gas Consumption Trends in U.S. Residential Natural Gas Consumption This report presents an analysis of residential natural gas consumption trends in the United States through 2009 and analyzes consumption trends for the United States as a whole (1990 through 2009) and for each Census Division (1998 through 2009). It examines a long-term downward per- customer consumption trend and analyzes whether this trend persists across Census Divisions. The report also examines some of the factors that have contributed to the decline in per-customer consumption. To provide a more meaningful measure of per-customer consumption, EIA adjusted consumption data presented in the report for weather. Questions or comments on the contents of this article should be directed to Lejla Alic at Lejla.Alic@eia.doe.gov or (202) 586-0858.

404

Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption  

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

State Plan to Reduce State Plan to Reduce Petroleum Consumption to someone by E-mail Share Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on Facebook Tweet about Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on Twitter Bookmark Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on Google Bookmark Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on Delicious Rank Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on Digg Find More places to share Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type State Plan to Reduce Petroleum Consumption

405

The individual contribution of automotive components to vehicle fuel consumption  

E-Print Network [OSTI]

Fuel consumption has grown to become a major point of interest as oil reserves are depleted. The purpose of this study is to determine the key components that cause variation in the instantaneous fuel consumption of vehicles ...

Napier, Parhys L

2011-01-01T23:59:59.000Z

406

Colorado Natural Gas Plant Fuel Consumption (Million Cubic Feet...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Fuel Consumption (Million Cubic Feet) Colorado Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

407

Colorado Natural Gas Lease Fuel Consumption (Million Cubic Feet...  

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

Fuel Consumption (Million Cubic Feet) Colorado Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

408

Colorado Natural Gas Total Consumption (Million Cubic Feet)  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Total Consumption (Million Cubic Feet) Colorado Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

409

Fact #704: December 5, 2011 Fuel Consumption Standards for New...  

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

4: December 5, 2011 Fuel Consumption Standards for New Heavy Pickups and Vans Fact 704: December 5, 2011 Fuel Consumption Standards for New Heavy Pickups and Vans In September...

410

HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL...  

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

HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL-WORLD DRIVING IN LABORATORY CONDITIONS HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL-WORLD DRIVING...

411

Electricity Consumption Simulation Based on Multi-agent System  

Science Journals Connector (OSTI)

In order to simulate impact on electricity of macroeconomic policy and foreign trade, Electricity Consumption Simulation System (ECMAS) was established based ... according to I/O table and data of electricity consumption

Minjie Xu; Zhaoguang Hu; Baoguo Shan…

2009-01-01T23:59:59.000Z

412

Connecticut Natural Gas Total Consumption (Million Cubic Feet...  

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

Total Consumption (Million Cubic Feet) Connecticut Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

413

Energy consumption of bioclimatic buildings in Argentina during the period 2001–2008  

Science Journals Connector (OSTI)

The energy performance of two bioclimatic buildings located in Santa Rosa city, a temperate semi-arid agricultural region of central Argentina, is analysed. The bioclimatic design included direct solar gain, thermal inertia, natural ventilation, thermal insulation, external shading, building orientation, and dwelling grouping. Each double-story building is aligned on an East–West axis and it has a compact shape with 350 m2 of useful floor area (58 m2/apartment). The solar collection area is around 18% of the apartment's useful area on the ground floor and 14% on the upper floor. This paper describes the energy performance of the buildings during the period 2001–2008. The analysis includes: (a) the energy consumption (natural gas and electricity) during 2001–2007 (natural gas: annually, bimonthly; electricity: monthly); (b) the natural gas consumption and the thermal behaviour during the winters of year 2001 (between July 27 and August 3) and 2008 (between August 8 and 13); (c) the daily natural gas consumption and the thermal behaviour during 2001 and 2008 winters; (d) the comparison between the energy consumption for heating in bioclimatic and conventional buildings. The authors concluded that the results confirm the large potential of solar buildings design to reach significant levels of energy saving. The comparison of solar and conventional buildings in terms of natural gas consumption demonstrates the magnitude of such potential.

C. Filippín; S. Flores Larsen; M. Canori

2010-01-01T23:59:59.000Z

414

activities  

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

Detecting Things We Cannot See: Learning the Concepts of Control and Detecting Things We Cannot See: Learning the Concepts of Control and Variable in an Experiment Submitted by Anita Brook-Dupree, 1996 TRAC teacher at Fermilab, Teacher, Alternative Middle Years School, Philadelphia, PA. Particle physicists at Fermilab in Batavia, Illinois are faced with the problem of detecting the presence of sub-atomic particles they cannot see. During my summer as a TRAC teacher at Fermilab, I tried to think of ways to teach middle school students about things we cannot see. I want to thank my nine-year-old daughter Gia for the idea for the following activity. I was lamenting that I could not come up with ideas of how to relate the work of Fermilab scientists to anything that my students would understand. Then I was reminded by my daughter, that when I brought her to school on the

415

Federal Energy Consumption and Progress Made toward Requirements  

Broader source: Energy.gov [DOE]

The Federal Energy Management Program (FEMP) tracks Federal agency energy consumption and progress toward achieving energy laws and requirements.

416

Photosynthesis and the dynamics of oxygen consumption in a ...  

Science Journals Connector (OSTI)

photosynthesis minus oxygen consumption), and gross photosynthesis at high ... The depth distribution of gross photosynthesis, as obtained by the cycling ...

1999-11-15T23:59:59.000Z

417

Energy Consumption Characteriation of Heterogeneous Servers School of Computer Science  

E-Print Network [OSTI]

Energy Consumption Characteriation of Heterogeneous Servers Xiao Zhang School of Computer Science Machine between servers to save energy. An accurate energy consumption model is the basic of energy management. Most past studies show that energy consumption has linear relation with resource utilization. We

Qin, Xiao

418

Getting to Green: Understanding Resource Consumption in the Home  

E-Print Network [OSTI]

Getting to Green: Understanding Resource Consumption in the Home Marshini Chetty, David Tran managing their domestic resource consumption. Yet, the question of what tools Ubicomp researchers can and natural gas systems in the home. We find that in-the- moment resource consumption is mostly invisible

Grinter, Rebecca Elizabeth

419

American Options, Multiarmed Bandits, and Optimal Consumption Plans  

E-Print Network [OSTI]

American Options, Multi­armed Bandits, and Optimal Consumption Plans: A Unifying View By Peter Bank consumption choice can all be reduced to the same problem of representing a given stochastic process in terms­armed bandits, optimal consumption plans, optimal stopping, representation theorem, universal exercise signal

Föllmer, Hans

420

Optimal consumption and investment for markets with randoms coefficients.  

E-Print Network [OSTI]

Optimal consumption and investment for markets with randoms coefficients. Belkacem Berdjane and Serguei Pergamenshchikov February 6, 2011 Abstract We consider an optimal consumption - investment problem consumption - investment strategies are obtained. It turns out that the optimal convergence rate in this case

Note: This page contains sample records for the topic "activities including consumption" 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

Optimal lifetime consumption and investment under drawdown constraint  

E-Print Network [OSTI]

Optimal lifetime consumption and investment under drawdown constraint Romuald Elie Nizar Touzi October 21, 2006 Abstract We consider the infinite horizon optimal consumption-investment problem under-form expressions for the optimal consumption and investment strategy. Key words: portfolio allocation, drawdown

Elie, Romuald

422

Optimal consumption policies in illiquid markets Alessandra Cretarola1)  

E-Print Network [OSTI]

Optimal consumption policies in illiquid markets Alessandra Cretarola1) , Fausto Gozzi1) , Huy Abstract We investigate optimal consumption policies in the liquidity risk model intro- duced in [5]. Our main result is to derive smoothness C1 results for the value functions of the portfolio/consumption

Paris-Sud XI, Université de

423

Term Structure of Interest Rates with Consumption Commitments  

E-Print Network [OSTI]

Term Structure of Interest Rates with Consumption Commitments J. C. Duan Risk Management Institute Abstract We study the term structure of interest rates in the presence of consumption commitments using and develop computation methods. Examples are ana- lyzed to illustrate the effect of consumption commitments

Zhu, Qiji Jim

424

On the Energy Consumption and Performance of Systems Software  

E-Print Network [OSTI]

On the Energy Consumption and Performance of Systems Software Appears in the proceedings of the 4th,grosu,psehgal,sas,stoller,ezk}@cs.stonybrook.edu ABSTRACT Models of energy consumption and performance are necessary to understand and identify system. This paper considers the energy consumption and performance of servers running a relatively simple file

Zadok, Erez

425

Using Bytecode Instruction Counting as Portable CPU Consumption Metric  

E-Print Network [OSTI]

Using Bytecode Instruction Counting as Portable CPU Consumption Metric Walter Binder and Jarle-1015 Lausanne, Switzerland firstname.lastname@epfl.ch Abstract Accounting for the CPU consumption consumption information in order to detect a resource overuse of client components (detection of denial

Binder, Walter

426

Power Consumption of GPUs from a Software Perspective  

E-Print Network [OSTI]

Power Consumption of GPUs from a Software Perspective Sylvain Collange1 , David Defour1 and Arnaud computing solutions. They have power consumptions up to 300 W. This may lead to power supply and thermal. However, as long as the main goal of GPU was to serve in desktops, their power consumption was secondary

Paris-Sud XI, Université de

427

A Realistic Power Consumption Model for Wireless Sensor Network Devices  

E-Print Network [OSTI]

1 A Realistic Power Consumption Model for Wireless Sensor Network Devices Qin Wang, Mark Hempstead}@eecs.harvard.edu Abstract-- A realistic power consumption model of wireless communication subsystems typically used in many sensor network node devices is presented. Simple power consumption models for major components

Hempstead, Mark

428

Groundwater Consumption by Phreatophytes in Mid-Continent  

E-Print Network [OSTI]

Groundwater Consumption by Phreatophytes in Mid-Continent Stream-Aquifer Systems Gerard Kluitenberg. · Consumption of ground water by phreatophytes also a factor of potential importance. · Extensive control-water consumption by phreatophytes needed to: Introduction/Background · Clarify factors contributing to low

Hernes, Peter J.

429

A STOCHASTIC CONTROL MODEL OF INVESTMENT, PRODUCTION AND CONSUMPTION  

E-Print Network [OSTI]

A STOCHASTIC CONTROL MODEL OF INVESTMENT, PRODUCTION AND CONSUMPTION BY WENDELL H. FLEMING is to choose investment and consumption controls which maximize total expected discounted HARA utility of consumption. Optimal control policies are found using the method of dynamic programming. In case

Pang, Tao

430

Energy Consumption in Coded Queues for Wireless Information Exchange  

E-Print Network [OSTI]

Energy Consumption in Coded Queues for Wireless Information Exchange Jasper Goseling, Richard J customers. We use this relation to ob- tain bounds on the energy consumption in a wireless information, for example, from the observations in [3] that using network coding can reduce the energy consumption

Boucherie, Richard J.

431

Power Consumption Prediction and Power-Aware Packing in Consolidated  

E-Print Network [OSTI]

Power Consumption Prediction and Power-Aware Packing in Consolidated Environments Jeonghwan Choi the power consumption of groups of colocated applications. Such characterization is crucial for effective prediction and enforcement of appropriate limits on power consumption--power budgets--within the data center

Urgaonkar, Bhuvan

432

Past, Place & People: An Ethnography of Museum Consumption  

E-Print Network [OSTI]

Past, Place & People: An Ethnography of Museum Consumption Anat Hecht Department of Social the potential of ethnography as an approach to the study of museum consumption and its role within contemporary of the perception, discourse and practice of museum consumption, from the varied viewpoints of the producers and

Guillas, Serge

433

Minimizing Energy Consumption in Body Sensor Networks via Convex Optimization  

E-Print Network [OSTI]

Minimizing Energy Consumption in Body Sensor Networks via Convex Optimization Sidharth Nabar energy consumption while limiting the latency in data transfer. In this paper, we focus on polling energy consumption and latency. We show that this problem can be posed as a geometric program, which

Poovendran, Radha

434

An explanation for enhanced perceptions of attractiveness after alcohol consumption  

E-Print Network [OSTI]

An explanation for enhanced perceptions of attractiveness after alcohol consumption L.G. Halseya alcohol consumption increases ratings of attractiveness to faces. This may help to explain increased attraction may be the result of alcohol consumption decreasing ability to detect bilateral asymmetry

Little, Tony

435

American Options, Multiarmed Bandits, and Optimal Consumption Plans  

E-Print Network [OSTI]

American Options, Multi­armed Bandits, and Optimal Consumption Plans: A Unifying View By Peter Bank, and in the microeconomic theory of intertemporal consumption choice can all be reduced to the same problem of representing and phrases. American options, Gittins index, multi­armed bandits, optimal consumption plans, optimal stopping

Bank, Peter

436

Towards New Widgets to Reduce PC Power Consumption  

E-Print Network [OSTI]

1 Towards New Widgets to Reduce PC Power Consumption Abstract We present a study which describes document) were compared for power consumption across both a desktop and a laptop computer and across two in the power consumption of the interac- tion technique is the number of screen updates in- volved. Keywords

Williamson, John

437

Oxygen Consumption Rates of Bacteria under Nutrient-Limited Conditions  

Science Journals Connector (OSTI)

...research-article Environmental Microbiology Oxygen Consumption Rates of Bacteria under Nutrient-Limited...heterotrophic bacteria was measured. The oxygen consumption and population density of batch cultures...tracked for up to 200 days. The oxygen consumption per CFU (QO2) declined by more than...

Timothy E. Riedel; William M. Berelson; Kenneth H. Nealson; Steven E. Finkel

2013-06-14T23:59:59.000Z

438

Optimal consumption policies in illiquid markets Alessandra Cretarola1)  

E-Print Network [OSTI]

Optimal consumption policies in illiquid markets Alessandra Cretarola1) , Fausto Gozzi1) , Huyên optimal consumption policies in the liquidity risk model intro- duced in [5]. Our main result is to derive smoothness C1 results for the value functions of the portfolio/consumption choice problem. As an important

Pham, Huyên

439

On the Energy Consumption and Performance of Systems Software  

E-Print Network [OSTI]

On the Energy Consumption and Performance of Systems Software Zhichao Li, Radu Grosu, Priya Sehgal {zhicli,grosu,psehgal,sas,stoller,ezk}@cs.stonybrook.edu ABSTRACT Models of energy consumption that can balance out performance and energy use. This paper considers the energy consumption

Stoller, Scott

440

Energino: a Hardware and Software Solution for Energy Consumption Monitoring  

E-Print Network [OSTI]

Energino: a Hardware and Software Solution for Energy Consumption Monitoring Karina Gomez, Roberto.granelli@disi.unitn.it Abstract--Accurate measurement of energy consumption of practical wireless deployments is vital in the availability of affordable and scalable energy consumption monitoring tools for the research community

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "activities including consumption" 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

Food Consumption by Sea Lions: Existing Data and Techniques  

E-Print Network [OSTI]

Food Consumption by Sea Lions: Existing Data and Techniques Arliss J. Winship, Andrea M.J. Hunter on the quantity of food consumed by sea lions in captivity, and examined how consumption varied by species, body ranges of estimates of food consumption for sea lions that can be used in various modeling strategies

442

A Note on Irreversible Investment, Hedging and Optimal Consumption Problems  

E-Print Network [OSTI]

A Note on Irreversible Investment, Hedging and Optimal Consumption Problems Vicky Henderson who aims to maximize expected utility of consumption over an infinite horizon. The agent pays a fixed to partially hedge risk. The agent maximizes his expected utility from consumption over an infinite horizon

443

Optimal lifetime consumption and investment under drawdown constraint  

E-Print Network [OSTI]

Optimal lifetime consumption and investment under drawdown constraint Romuald Elie Nizar Touzi consumption-investment problem under the drawdown constraint, i.e. the wealth process never falls below in explicit form, and we derive closed-form expressions for the optimal consumption and investment strategy

Touzi, Nizar

444

Power consumption optimization in multi-mode mobile relay  

E-Print Network [OSTI]

Power consumption optimization in multi-mode mobile relay C´edric L´evy-Bencheton #1 , Guillaume-mode can reduce terminal power consumption. Software Defined Radio is an enabler towards multi through relays, is another solution to reduce power consumption. We look at multi-mode relaying, where

Paris-Sud XI, Université de

445

GENETIC HEURISTICS FOR REDUCING MEMORY ENERGY CONSUMPTION IN EMBEDDED SYSTEMS  

E-Print Network [OSTI]

GENETIC HEURISTICS FOR REDUCING MEMORY ENERGY CONSUMPTION IN EMBEDDED SYSTEMS Maha IDRISSI AOUAD.loria.fr/zendra Keywords: Energy consumption reduction, Genetic heuristics, memory allocation management, optimizations on heuristic methods for SPMs careful management in order to reduce memory energy consumption. We propose

Schott, René - Institut de Mathématiques �lie Cartan, Université Henri Poincaré

446

Reducing the Energy Consumption of Mobile Applications Behind the Scenes  

E-Print Network [OSTI]

Reducing the Energy Consumption of Mobile Applications Behind the Scenes Young-Woo Kwon and Eli, an increasing number of perfective maintenance tasks are concerned with optimizing energy consumption. However, optimizing a mobile application to reduce its energy consumption is non-trivial due to the highly volatile

Tilevich, Eli

447

Optimization of Energy and Water Consumption in Cornbased Ethanol Plants  

E-Print Network [OSTI]

1 Optimization of Energy and Water Consumption in Corn­based Ethanol Plants Elvis Ahmetovi). First, we review the major alternatives in the optimization of energy consumption and its impact for the water streams. We show that minimizing energy consumption leads to process water networks with minimum

Grossmann, Ignacio E.

448

Automated Analysis of Performance and Energy Consumption for Cloud Applications  

E-Print Network [OSTI]

Automated Analysis of Performance and Energy Consumption for Cloud Applications Feifei Chen, John providers is thus to develop resource provisioning and management solutions at minimum energy consumption system performance and energy consumption patterns in complex cloud systems is imperative to achieve

Schneider, Jean-Guy

449

Optimizing Communication Energy Consumption in Perpetual Wireless Nanosensor Networks  

E-Print Network [OSTI]

Optimizing Communication Energy Consumption in Perpetual Wireless Nanosensor Networks Shahram}@cs.odu.edu Abstract--This paper investigates the effect of various param- eters of energy consumption. Finding the optimum combination of parameters to minimize energy consumption while satisfying the Qo

Weigle, Michele

450

The Impact of Distributed Programming Abstractions on Application Energy Consumption  

E-Print Network [OSTI]

The Impact of Distributed Programming Abstractions on Application Energy Consumption Young-Woo Kwon of their energy consumption patterns. By varying the abstractions with the rest of the functionality fixed, we measure and analyze the impact of distributed programming abstractions on application energy consumption

Tilevich, Eli

451

On the Interplay of Parallelization, Program Performance, and Energy Consumption  

E-Print Network [OSTI]

to either minimize the total energy consumption or minimize the energy-delay product. The impact of staticOn the Interplay of Parallelization, Program Performance, and Energy Consumption Sangyeun Cho through parallel execution of applications, suppressing the power and energy consumption remains an even

Marchal, Loris

452

INCREASED FOOD AND ENERGY CONSUMPTION OF LACTATING NORTHERN FUR SEALS,  

E-Print Network [OSTI]

respectively. Fish accounted for 66.4% of food biomass (69.4% of total energy consumption); squidINCREASED FOOD AND ENERGY CONSUMPTION OF LACTATING NORTHERN FUR SEALS, CALWRHINUS URSINUS MICHAEL A on ter- restrial mammals have specifically shown increased energy consumption by lactating females

453

Power to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency  

K-12 Energy Lesson Plans and Activities Web site (EERE)

The NEED Project and the U.S. Department of Energy have collaborated to bring you this educational four-page guide to energy, electricity, consumption and efficiency. It includes, on the last page, a home energy survey to help you analyze your home energy use.

454

Prospective Study of Alcohol Consumption and Risk of Oral Premalignant Lesions in Men  

Science Journals Connector (OSTI)

...the prospective quality of the investigation...including beer, red wine, white wine...0.3 mg/dL increase in serum high-density...observed similar increases in OPL risk with consumption of wine, beer, or liquor...12.5 g/d increase in wine, compared with...

Nancy Nairi Maserejian; Kaumudi J. Joshipura; Bernard A. Rosner; Edward Giovannucci; and Athanasios I. Zavras

2006-04-01T23:59:59.000Z

455

Alcohol Consumption and Lung Cancer: A Review of the Epidemiologic Evidence  

Science Journals Connector (OSTI)

...particularly beer intake may increase lung cancer risk after...has been suggested to increase lung cancer risk in a...that alcohol intake may increase lung cancer risk (3...criteria to assess the quality of the studies were assessment...usual consumption of wine (including Japanese...

Elisa V. Bandera; Jo L. Freudenheim; and John E. Vena

2001-08-01T23:59:59.000Z

456

Energy Information Administration - Commercial Energy Consumption Survey-  

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

A6. Building Size, Floorspace for All Buildings (Including Malls), 2003 A6. Building Size, Floorspace for All Buildings (Including Malls), 2003 Total Floorspace (million square feet) All Buildings Building Size 1,001 to 5,000 Square Feet 5,001 to 10,000 Square Feet 10,000 to 25,000 Square Feet 25,001 to 50,000 Square Feet 50,001 to 100,000 Square Feet 100,001 to 200,000 Square Feet 200,001 to 500,000 Square Feet Over 500,000 Square Feet All Buildings ................................ 71,658 6,922 7,033 12,659 9,382 10,291 10,217 7,494 7,660 Principal Building Activity Education ....................................... 9,874 409 399 931 1,756 2,690 2,167 1,420 Q Food Sales ..................................... 1,255 409 356 Q Q Q Q N N Food Service ................................. 1,654 544 442 345 Q Q N Q N

457

Energy Information Administration - Commercial Energy Consumption Survey-  

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

A5. Building Size, Number of Buildings for All Buildings (Including Malls), 2003 A5. Building Size, Number of Buildings for All Buildings (Including Malls), 2003 Number of Buildings (thousand) All Buildings Building Size 1,001 to 5,000 Square Feet 5,001 to 10,000 Square Feet 10,000 to 25,000 Square Feet 25,001 to 50,000 Square Feet 50,001 to 100,000 Square Feet 100,001 to 200,000 Square Feet 200,001 to 500,000 Square Feet Over 500,000 Square Feet All Buildings ................................ 4,859 2,586 948 810 261 147 74 26 8 Principal Building Activity Education ....................................... 386 162 56 60 48 39 16 5 Q Food Sales ..................................... 226 164 44 Q Q Q Q N N Food Service ................................. 297 202 65 23 Q Q N Q N Health Care .................................... 129 56 38 19 5 5 3 2 1

458

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

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

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

459

Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China  

E-Print Network [OSTI]

of Commercial Building Energy Consumption in China, 2008,The China Residential Energy Consumption Survey, Human andfor Residential Energy Consumption in China Nan Zhou,

Zhou, Nan

2010-01-01T23:59:59.000Z

460

Cost and Energy Consumption Optimization of Product Manufacture in a Flexible Manufacturing System  

E-Print Network [OSTI]

Selection for Energy Consumption Reduction in Machining,Dornfeld, D. (2011): Energy Consumption Characterization and2011): Unit Process Energy Consumption Models for Material

Diaz, Nancy; Dornfeld, David

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "activities including consumption" 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

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

Vehicle Usage and Energy Consumption Table 2 Housing Unitsresidential vehicular energy consumption is graphed as aon Vehicle Usage and Energy Consumption with vehicles, but

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

462

Energy Consumption, Efficiency, Conservation, and Greenhouse Gas Mitigation in Japan's Building Sector  

E-Print Network [OSTI]

comparison o f energy consumption i n housing (1998) (Trends i n household energy consumption (Jyukankyo Research4) Average (N=2976) Energy consumption [GJ / household-year

2006-01-01T23:59:59.000Z

463

Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach  

E-Print Network [OSTI]

on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

Ma, Kai; Hu, Guoqiang; Spanos, Costas J

2014-01-01T23:59:59.000Z

464

Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings  

E-Print Network [OSTI]

Estimating Total Energy Consumption and Emissions of China’sof China’s total energy consumption mix. However, accuratelyof China’s total energy consumption, while others estimate

Fridley, David G.

2008-01-01T23:59:59.000Z

465

ResPoNSe: modeling the wide variability of residential energy consumption.  

E-Print Network [OSTI]

affect appliance energy consumption. For example, differentStates, 2005 Residential Energy Consumption Survey: HousingModeling of End-Use Energy Consumption in the Residential

Peffer, Therese; Burke, William; Auslander, David

2010-01-01T23:59:59.000Z

466

One of These Homes is Not Like the Other: Residential Energy Consumption Variability  

E-Print Network [OSTI]

the total annual energy consumption. The behavior patternsin total residential energy consumption per home, even whenthe variability in energy consumption can vary by factors of

Kelsven, Phillip

2013-01-01T23:59:59.000Z

467

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://Scale window-related energy consumption to account for new

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

468

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

E-Print Network [OSTI]

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

Zhou, Nan

2010-01-01T23:59:59.000Z

469

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

E-Print Network [OSTI]

accounting for 79% of non-biomass energy consumption inreliance on biomass for rural energy consumption shows thereliance on biomass for rural energy consumption shows the

Zhou, Nan

2010-01-01T23:59:59.000Z

470

Heavy Duty Diesel Particulate Matter and Fuel Consumption Modeling for Transportation Analysis  

E-Print Network [OSTI]

of steady state engine fuel consumption and emission maps.affecting engine load and consequently fuel consumption. Theand engine speed which it then relates to fuel consumption

Scora, George Alexander

2011-01-01T23:59:59.000Z

471

Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model  

E-Print Network [OSTI]

that the diesel engines fuel consumption and emissions doEmissions and Fuel Consumption Model engine manufacturersEmissions and Fuel Consumption Model Connection to engine

Barth, Matthew; Younglove, Theodore; Scora, George

2005-01-01T23:59:59.000Z

472

Heavy-Duty Diesel Vehicle Fuel Consumption Modeling Based on Road Load and Power Train Parameters  

E-Print Network [OSTI]

Injection Diesel Engine Fuel Consumption”, SAE 971142, 11.engine load, engine speed, and fuel consumption. The tirevehicle speed, engine speed, fuel consumption, engine load,

Giannelli, R; Nam, E K; Helmer, K; Younglove, T; Scora, G; Barth, M

2005-01-01T23:59:59.000Z

473

Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings  

E-Print Network [OSTI]

ABORATORY Estimating Total Energy Consumption and Emissionscomponent of China’s total energy consumption mix. However,about 19% of China’s total energy consumption, while others

Fridley, David G.

2008-01-01T23:59:59.000Z

474

Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control  

E-Print Network [OSTI]

combination of the total energy consumption and the peakalso reduces the total energy consumption of the occupancyTotal and Peak Energy Consumption Minimization of Building

Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

2012-01-01T23:59:59.000Z

475

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

E-Print Network [OSTI]

the fraction of total energy consumption attributable toFraction of Total Energy Consumption Background Although thewindow fraction of total energy consumption. We believe that

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

476

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network [OSTI]

about half of the total energy consumption from Wii consolescan estimate total national energy consumption due to videoof on mode energy consumption to the total AEC. For most

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

477

Impacts of Electric Vehicles on Primary Energy Consumption and Petroleum Displacement  

E-Print Network [OSTI]

to Btu, EC is the electricity consumption of EVs in Kwh perreductions EV in electricity consumption contributedsensitive to EV electricity consumption, which,in turn,is

Wang, Quanlu; Delucchi, Mark A.

1991-01-01T23:59:59.000Z

478

Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings  

E-Print Network [OSTI]

18 Figure 6 Primary Energy Consumption by End-Use in24 Figure 7 Primary Energy Consumption by Fuel in Commercialbased on total primary energy consumption (source energy),

Fridley, David G.

2008-01-01T23:59:59.000Z

479

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

E-Print Network [OSTI]

liters Figure 7 Primary Energy Consumption (EJ) Refrigeratorby Efficiency Class Primary Energy Consumption (EJ) Figure 8by Fuel Figure 1 Primary Energy Consumption by End-use)

Zhou, Nan

2010-01-01T23:59:59.000Z

480

1999 Commercial Buildings Energy Consumption Survey Detailed Tables  

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

Consumption and Expenditures Tables Table C1. Total Energy Consumption by Major Fuel ............................................... 124 Table C2. Total Energy Expenditures by Major Fuel................................................ 130 Table C3. Consumption for Sum of Major Fuels ...................................................... 135 Table C4. Expenditures for Sum of Major Fuels....................................................... 140 Table C5. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels................................................................................................... 145 Table C6. Expenditures by Census Region for Sum of Major Fuels......................... 150 Table C7. Consumption and Gross Energy Intensity by Building Size for Sum of

Note: This page contains sample records for the topic "activities including consumption" 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

Table 24. Refining Industry Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

- Corrections to Tables 24 to 32 - Corrections to Tables 24 to 32 Table 24. Refining Industry Energy Consumption 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2002- 2025 Carbon Dioxide Emissions 4/ (million metric tons) 190.4 185.7 188.0 191.3 207.3 215.6 220.0 222.8 225.1 226.3 228.0 230.7 234.1 237.5 238.5 239.4 239.4 238.6 240.6 240.5 242.2 244.2 245.9 246.3 246.6 1.2% Table 25. Food Industry Energy Consumption 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2002- 2025 Carbon Dioxide Emissions 3/ (million metric tons) 87.8 89.4 87.5 87.8 89.2 90.2 90.9 91.4 92.2 93.5 94.5 95.7 96.7 97.7 98.6 99.6 100.8 101.9 102.9 104.1 105.4 107.0 108.7 110.3 112.1 1.0% Table 26. Paper Industry Energy Consumption 2001 2002 2003 2004 2005 2006 2007

482

1999 Commercial Buildings Characteristics--Principal Building Activities  

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

Principal Building Activities Principal Building Activities Principal Building Activities Three of the four activities that dominated commercial floorspace-office, warehouse and storage, and mercantile-dominated the distribution of buildings (Figure 1). Each of these three activity categories included more than 600,000 buildings, while no other building activity had more than a half-million buildings and only service buildings exceeded 350,000 buildings. Detailed tables Figure 1. Distribution of Buildings by Principal Building Activity, 1999 Figure 1. Distribution of Buildings by Principal Building Activity, 1999. If having trouble viewing this page, please contact the National Energy Information Center at (202) 586-8800. Energy Information Administration Commercial Buildings Energy Consumption Survey

483

Vehicle Technologies Office: Fact #635: August 9, 2010 Fuel Consumption  

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

5: August 9, 5: August 9, 2010 Fuel Consumption from Lawn and Garden Equipment to someone by E-mail Share Vehicle Technologies Office: Fact #635: August 9, 2010 Fuel Consumption from Lawn and Garden Equipment on Facebook Tweet about Vehicle Technologies Office: Fact #635: August 9, 2010 Fuel Consumption from Lawn and Garden Equipment on Twitter Bookmark Vehicle Technologies Office: Fact #635: August 9, 2010 Fuel Consumption from Lawn and Garden Equipment on Google Bookmark Vehicle Technologies Office: Fact #635: August 9, 2010 Fuel Consumption from Lawn and Garden Equipment on Delicious Rank Vehicle Technologies Office: Fact #635: August 9, 2010 Fuel Consumption from Lawn and Garden Equipment on Digg Find More places to share Vehicle Technologies Office: Fact #635: August 9, 2010 Fuel Consumption from Lawn and Garden Equipment on

484

The impact of retirement on household consumption in Japan  

Science Journals Connector (OSTI)

Using monthly data from the Japanese Family Income and Expenditure Survey, we examine the impact of retirement on household consumption. We find little evidence of an immediate change in consumption at retirement, on average, in Japan. However, we find a decrease in consumption at retirement for low income households that is concentrated in food and work-related consumption. The availability of substantial retirement bonuses to a large share of Japanese retirees may help smooth consumption at retirement. We find that those households that are more likely to receive such bonuses experience a short-run consumption increase at retirement. However, among households that are less likely to receive a retirement bonus, we find that consumption decreases at retirement.

Melvin Stephens Jr.; Takashi Unayama

2012-01-01T23:59:59.000Z

485

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

Gasoline and Diesel Fuel Update (EIA)

All Reports & Publications All Reports & Publications Search By: Go Pick a date range: From: To: Go graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years December 20, 2013 Gas furnace efficiency has large implications for residential natural gas use December 5, 2013 EIA publishes state fact sheets on residential energy consumption and characteristics August 19, 2013 All 48 related articles › ResidentialAvailable formats PDF Modeling Distributed Generation in the Buildings Sectors Released: August 29, 2013 This report focuses on how EIA models residential and commercial sector distributed generation, including combined heat and power, for the Annual Energy Outlook. State Fact Sheets on Household Energy Use

486

Residential Energy Consumption Survey (RECS) - Data - U.S. Energy  

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

3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables Topical Sections Entire Section All Detailed Tables PDF Tables: HC1 Household Characteristics, Million U.S. Households Presents data relating to location, type, ownership, age, size, construction, and householder demographic and income characteristics. PDF Tables: HC2 Space Heating, Million U.S. Households Presents data describing the types of heating fuel and equipment used for main and secondary heating purposes. PDF Tables: HC3 Air-Conditioning, Million U.S. Households Presents data describing selected household characteristics including location, number of rooms and area cooled and air-conditioning usage. PDF

487

A Comparative Study of CNC Part Programming Addressing Energy Consumption and Productivity  

Science Journals Connector (OSTI)

Abstract This paper reports on a comparative study realized to contrast between the part code generated by two different CAM systems and one part program generated by the authors. This comparison addresses in particular tool path, but also includes number of lines, cycle time and energy consumption. The comparison is carried out through a case study: a mechanical component was designed so as to produce a number of CNC part programs generated with two different CAM systems; one more program was directly programmed by the authors in the machine tool's controller. Different sample parts were produced using the same machine tool, tooling and process parameters; and measurements of energy consumption and cycle time were gathered. The results show differences between the tool paths generated by each approach and are used by the authors to further define strategies to produce trajectories that could reduce cycle time and energy consumption.

Gustavo M. Minquiz; Vicente Borja; Marcelo López-Parra; Alejandro C. Ramírez-Reivich; Miguel A. Domínguez; Alejandro Alcaide

2014-01-01T23:59:59.000Z

488

Short- and long-run relationships between natural gas consumption and economic growth: Evidence from Pakistan  

Science Journals Connector (OSTI)

Abstract This paper examines the dynamic relationship between natural gas consumption and economic growth in Pakistan using a multivariate model by including capital and labor as control variables for the period between 1972QI and 2011QIV. The results of the ARDL bound testing indicate the presence of cointegration relationships among the variables. The estimated long-run impact of gas consumption on economic growth is greater than other factor inputs suggesting that energy is a critical driver of production and growth in Pakistan. Furthermore, the results of causality test suggest that natural gas consumption and economic growth are complements. Given that natural gas constitutes to the primary source of energy in Pakistan, the implication of this study is that natural gas conservation policies could harm growth and, therefore, requires the policy makers to improve the energy supply efficiency as well as formulate appropriate policies to attract investment and establish public–private partnership initiatives.

Muhammad Shahbaz; Mohamed Arouri; Frédéric Teulon

2014-01-01T23:59:59.000Z

489

Risks of consumption of contaminated seafood: The Quincy Bay case study  

SciTech Connect (OSTI)

A recent EPA-sponsored study of sediment and seafood contamination in Quincy Bay revealed elevated levels of several complex organic pollutants frequently of concern in human health assessments. A seafood consumption risk assessment was conducted using data from samples collected in Quincy Bay in the methodology developed for EPA's Office of Marine and Estuarine Protection for such assessments. Results showed estimate plausible, upperbound excess cancer risks in the 10{sup {minus}5} to 10{sup {minus}2} range. These results are comparable to those found in other seafood contamination risk assessments for areas where consumption advisories and fishing restrictions were implemented. Regulatory response included consumption advisories for lobster tomalley (hepatopancreas) and other types of locally caught seafood. Uncertainties inherent in seafood risk assessment in general and for the Quincy Bay case are discussed, along with implications for further action.

Cooper, C.B.; Doyle, M.E. (Metcalf and Eddy, Inc., Wakefield, MA (United States)); Kipp, K. (Environmental Protection Agency, Boston, MA (United States))

1991-01-01T23:59:59.000Z

490

Manufacturing Consumption of Energy 1994 - Derived measures of end-use  

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

eialogo eialogo Calculation of MECS Energy Measures Reported energy values were used to construct several derived values, which, in turn, were used to prepare the estimates appearing in MECS consumption tables--First Use, Total Inputs, Offsite-Produced. These derived values are displayed in Table 1 and defined as follows: Energy produced offsite and consumed as a fuel. This derived value represents onsite consumption of fuels that were originally produced offsite. That is, they arrived at the establishment as the result of a purchase or were transferred to the establishment from outside sources. As such, this derived value is equivalent to consumption of "purchased" fuels as reported by the Census Bureau for the years 1974-1981. The Census Bureau defines "purchased" fuels to include those actually purchased plus those

491

Table 3.2 Fuel Consumption, 2010;  

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

2 Fuel Consumption, 2010; 2 Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. NAICS Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 1,158 257 12 22 579 6 182 2 99 3112 Grain and Oilseed Milling 350 56 * 1 121 * 126 0 45 311221 Wet Corn Milling 214 25 * * 53 * 110 0 25 31131 Sugar Manufacturing 107 4 1 1 15 * 49 2 36 3114 Fruit and Vegetable Preserving and Specialty Foods 143 31 1 Q 100 1 2 0 4 3115 Dairy Products 105 33 2 2 66 1 * 0 2 3116 Animal Slaughtering and Processing 212 69 5 3 125 2 Q 0 8 312 Beverage and Tobacco Products 86 29 1 1 38 1 10 0 7 3121 Beverages

492

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

Table C22. Electricity Consumption and Conditional Energy Intensity by Year Constructed for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 All Buildings* ............................... 155 447 288 17,163 28,766 17,378 9.0 15.5 16.6 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 23 52 37 2,049 2,668 1,628 11.3 19.6 23.0 5,001 to 10,000 .............................. 15 35 27 1,859 2,854 1,484 8.1 12.2 18.1 10,001 to 25,000 ............................ 27 55 37 3,141 4,907 3,322 8.5 11.3 11.2

493

Table 3.3 Fuel Consumption, 2010;  

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

3 Fuel Consumption, 2010; 3 Fuel Consumption, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. Economic Net Residual Distillate LPG and Coke and Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal Breeze Other(f) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,148 314 6 53 446 14 25 Q 291 20-49 1,018 297 13 22 381 18 97 5 185 50-99 1,095 305 7 13 440 6 130 9 186 100-249 1,728 411 16 11 793 7 131 7 353 250-499 1,916 391 16 11 583 3 185 5 722 500 and Over 7,323 720 21 21 2,569 21 300 348 3,323 Total 14,228 2,437 79 130 5,211 69 868 376 5,059 Employment Size Under 50 1,149 305 12 45 565 21 31

494

CBECS 1992 - Consumption & Expenditures, Detailed Tables  

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

Detailed Tables Detailed Tables Detailed Tables Figure on Energy Consumption in Commercial Buildings by Energy Source, 1992 Divider Line The 49 tables present detailed energy consumption and expenditure data for buildings in the commercial sector. This section provides assistance in reading the tables by explaining some of the headings for the data categories. It will also explain the use of row and column factors to compute both the confidence levels of the estimates given in the tables and the statistical significance of differences between the data in two or more categories. The section concludes with a "Quick-Reference Guide" to the statistics in the different tables. Categories of Data in the Tables After Table 3.1, which is a summary table, the tables are grouped into the major fuel tables (Tables 3.2 through 3.13) and the specific fuel tables (Tables 3.14 through 3.29 for electricity, Tables 3.30 through 3.40 for natural gas, Tables 3.41 through 3.45 for fuel oil, and Tables 3.46 through 3.47 for district heat). Table 3.48 presents energy management and DSM data as reported by the building respondent. Table 3.49 presents data on participation in electric utility-sponsored DSM programs as reported by both the building respondent and the electricity supplier.

495

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

6 End Uses of Fuel Consumption, 2006; 6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fue -- 41 133 23 2,119 8 547 -- Conventional Boiler Use 41 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487 32 345 -- Process Cooling and Refrigeration -- 206 * 1 32 * * -- Machine Drive

496

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

2 End Uses of Fuel Consumption, 2006; 2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel -- 41 133 23 2,119 8 547 -- Conventional Boiler Use -- 41 71 17 1,281 8 129 -- CHP and/or Cogeneration Process -- -- 62 6 838 1 417 -- Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487

497

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

1 End Uses of Fuel Consumption, 2006; 1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use -- 12,109 11 3 1,245 2 6 -- CHP and/or Cogeneration Process

498

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

7 End Uses of Fuel Consumption, 2006; 7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process 773,574 10 9 2,709 10 19 Process Heating

499

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

5 End Uses of Fuel Consumption, 2006; 5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use 12,109 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process

500

The Reality and Future Scenarios of Commercial Building Energy Consumption in China  

E-Print Network [OSTI]

the total primary energy consumption in 2000. Furthermore,The Commercial Primary Energy Consumption by Sector GDP

Zhou, Nan

2008-01-01T23:59:59.000Z