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Note: This page contains sample records for the topic "reduce energy 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

Reduces a processor's energy consumption  

E-Print Network (OSTI)

). Clearly, this is energy inefficient and wasteful of energy. 2 More precisely, the faster that a processor decide that energy is being wasted and will decrease the frequency/voltage level. Translation: LowerReduces a processor's energy consumption by up to 70% Diminishes greenhouse gas emissions Improves

2

Reduces electric energy consumption  

E-Print Network (OSTI)

implementation of the assessment recommendations is estimated to be $843,000 with a total implementation cost. Manufacturing at the facility includes both casting and extrusion processes. Process equipment, air compressors productivity. As a result, facility production costs can be reduced and profits can be increased. August 2001

3

Reducing the Energy Consumption of Networked Devices  

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

Reducing the Energy Consumption of Networked Devices Speaker(s): Ken Christensen Date: July 19, 2005 - 12:00pm Location: 90-4133 When Personal Computers are networked, energy...

4

Compiler Support for Reducing Leakage Energy Consumption  

Science Conference Proceedings (OSTI)

Current trends indicate that leakage energy consumption will be an important concern in upcoming process technologies. In this paper, we propose a compiler-based leakage energy optimization strategy. Our strategy is built upon a data-flow analysis that ...

W. Zhang; M. Kandemir; N. Vijaykrishnan; M. J. Irwin; V. De

2003-03-01T23:59:59.000Z

5

Psychological strategies to reduce energy consumption: first annual progress report  

SciTech Connect

A multidisciplinary program composed of a mix of physical and social scientists is studying the behavior of occupants as well as the engineering aspects of household energy consumption. A study of the Twin Rivers, New Jersey area examined and tested psychological strategies for helping people achieve significant reductions in their residential energy consumption. The results show that homeowners are motivated by cost and other pressures provided by daily feedback on their actual energy consumption. Four feedback experiments suggest that feedback helps homeowners to reduce their energy consumption, but the optimal nature of the feedback system has yet to be identified. The project also included research on thermostat control and on attitudes.

Seligman, C.; Darley, J.M.; Becker, L.J.

1976-01-01T23:59:59.000Z

6

The Challenge of Reducing Energy Consumption in China's Industrial...  

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

The Challenge of Reducing Energy Consumption in China's Industrial Sector Speaker(s): Lynn Price Date: September 16, 2008 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact:...

7

Reducing 3G energy consumption on mobile devices  

E-Print Network (OSTI)

The 3G wireless interface is a significant contributor to battery drain on mobile devices. This paper describes the design, implementation, and experimental evaluation of methods to reduce the energy consumption of the 3G ...

Deng, Shuo

2012-01-01T23:59:59.000Z

8

REDUCED ENERGY CONSUMPTION THROUGH PROJECTILE BASED EXCAVATION  

Science Conference Proceedings (OSTI)

The Projectile Based Excavation (ProjEX) program has as its goal, the reduction of energy required for production mining and secondary breakage through the use of a projectile based excavation system. It depends on the development of a low cost family of projectiles that will penetrate and break up different types of ore/rock and a low cost electric launch system. The electric launch system will eliminate the need for high cost propellant investigated for similar concepts in the past. This document reports on the progress made in the program during the past quarter. It reports on projectile development and the development of the electric launch system design.

Mark Machina

2002-10-12T23:59:59.000Z

9

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

breakdown of the energy consumption of the CSE mixed- useFigure 3.7: The energy consumption of HVAC during ourSpring 2011 tests - Energy consumption for electricity and

Balaji, Bharathan

2011-01-01T23:59:59.000Z

10

China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China  

E-Print Network (OSTI)

Monitoring of Direct Energy Consumption in Long-Term2007. “Constraining Energy Consumption of China’s LargestProgram: Reducing Energy Consumption of the 1000 Largest

Price, Lynn

2008-01-01T23:59:59.000Z

11

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

Figure 4.4: Power consumption of a desktop PC + 3 LCDChapter 2 Trends in Building Consumption 2.1 UCSD as abreakdown of the energy consumption of the CSE mixed- use

Balaji, Bharathan

2011-01-01T23:59:59.000Z

12

Using occupancy to reduce energy consumption of buildings.  

E-Print Network (OSTI)

??Buildings account for 73% of the total electricity consumption in the US. To get an in depth view of where this energy is consumed within… (more)

Balaji, Bharathan

2011-01-01T23:59:59.000Z

13

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

to help reduce the wasted energy. Chapter 3 Occupancyestimate the amount of energy being wasted in each room. Theon reducing the energy being wasted in daily usage. A

Balaji, Bharathan

2011-01-01T23:59:59.000Z

14

CCLEP Reduces Energy Consumption by More than 50% for a Luxury...  

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

CCLEP Reduces Energy Consumption by More than 50% for a Luxury Shopping Mall Title CCLEP Reduces Energy Consumption by More than 50% for a Luxury Shopping Mall Publication Type...

15

Reducing Network Energy Consumption via Sleeping and Rate-Adaptation  

E-Print Network (OSTI)

to save power when routers are idle. The performance states we assume dynamically change the rate of links where ps states reduce power consumption by lowering the rate at which work consumption. We also assume a penalty for transitioning between power states. For simplicity, we measure

Ratnasamy, Sylvia

16

Measuring the efficacy of an energy and environmental awareness campaign to effectively reduce water consumption.  

E-Print Network (OSTI)

??Increased energy costs and a move toward environmental stewardship are driving many organizations, including universities, to engage in awareness efforts to reduce both energy consumption… (more)

Miller, Laura

2010-01-01T23:59:59.000Z

17

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

Interfaces to Reduce PC Energy Usage. In Proceedings of46.2% of this primary energy usage[9]. Since buildings havecontributors to the total energy usage. Then, we can study

Balaji, Bharathan

2011-01-01T23:59:59.000Z

18

Reduced power consumption in  

E-Print Network (OSTI)

and a potential energy savings of over $30 Billion/year. This new approach is demanded by the exponentiallyBenefits Reduced power consumption in IC devices; hence potential energy savings of 300 Billion KWh://www.sia- online.org) CuRIE Interconnect Technology for Improved Energy Efficiency in IC Chips ARPA-E Technology

19

FEMP Energy Savings Expert Teams (ESET) to Help Federal Facilities Immediately Reduce Demand and Consumption  

SciTech Connect

FEMP offers energy savings expert teams (ESET) assessments for federal facilities as part of a broad strategy to reduce natural gas consumption.

2005-10-01T23:59:59.000Z

20

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

viii Figure 4.1: Electrical power usage breakdown for a3:30PM. The total HVAC electrical power consumption for thepower consumption, over Electrical Power Consumption (in kW)

Balaji, Bharathan

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "reduce energy 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

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

real-time power consumption. More modern devices come withpower consumption of laptop with time, and the difference in startup power draw of both devices.devices are turned on at different times, their characteristic waveforms can be distinguished from the overall power consumption

Balaji, Bharathan

2011-01-01T23:59:59.000Z

22

Building Technologies Research and Integration Center Reducing the energy consumption of the nation's buildings is  

E-Print Network (OSTI)

2/21/2011 Building Technologies Research and Integration Center Reducing the energy consumption of the nation's buildings is essential for achieving a sustainable clean energy future and will be an enormous challenge. Buildings account for 40% of the nation's carbon emissions and the consumption of 40% of our

Oak Ridge National Laboratory

23

Reducing Energy Consumption on Process Ovens & Oxidation Systems  

E-Print Network (OSTI)

With the uncertain cost of energy, optimizing the use of air in process dryers, ovens and air pollution control systems is critical to your bottom line. The revived emphasis on air management through the entire process, from plant make-up air heating systems to pollution control system exhaust, provides many opportunities to save energy and cut operating costs. This presentation includes an overview of good air management practices used to optimize energy use in your process and plant. One of the most important benefits of the more stringent air pollution control regulations throughout the world is the focus on better use and conservation of our natural resources. Through the efforts of many of the world's finest engineers and scientists the world is now realizing the benefits of an environmentally friendly approach to manufacturing. These benefits, which include more efficient process operation, less waste generation and reduced emissions, have produced the unforeseen benefit of reduced production costs and higher quality products. Process dryers and ovens are used in the manufacture of a wide variety of products produced by the companies represented at the Industrial Energy Technology Conference. This equipment is installed and operating in facilities that produce printed materials, packaging materials, adhesive tapes, pharmaceutical diagnostic materials, coated papers & films, foil laminations, electronic media, and photographic & x-ray films. They are also used extensively in the food industry. The products manufactured include baked goods, cereals, pet food, tobacco, and many other products. Ovens are used to bake and cure surface coated materials. Such as building siding, window frames, window blinds, automotive parts, wood products, and miscellaneous metal parts. More stringent environmental regulations are also impacting the design and operation of coating and food processes. Today air pollution control devices are used on many of the above applications to control the emissions of volatile organic compounds (VOC's) and odors. As emission limits have decreased, the use of permanent total enclosures PTE's are becoming a standard part of the process line design. These enclosures are used to obtain 100% capture of the solvents used in the process. In addition, concerns over solvent concentrations in ovens along with concerns over exposure limits to employees have combined to drive process exhaust flows ever higher. Increasing process exhaust flows has been the common approach to addressing process and environmental issues. This increase in exhaust flows has resulted in significant increases in energy use and operating costs.

Worachek, C.

2002-04-01T23:59:59.000Z

24

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

inaccuracies. However, we do waste energy when a vacant roombuildings, thus indicating energy waste. In order to makein each room. The energy waste information gives feedback to

Balaji, Bharathan

2011-01-01T23:59:59.000Z

25

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

The centralized Energy Management Systems(EMS), by Johnsonby a central Energy Management System(EMS) and are operateda centralized Energy Management System(EMS). The Computer

Balaji, Bharathan

2011-01-01T23:59:59.000Z

26

Pantex installs new meters to help to reduce energy consumption | National  

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

meters to help to reduce energy consumption | National meters to help to reduce energy consumption | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Pantex installs new meters to help to ... Pantex installs new meters to help to reduce energy consumption Posted By Office of Public Affairs Project Manager Janice Clark gives a safety briefing.

27

Pantex installs new meters to help to reduce energy consumption | National  

National Nuclear Security Administration (NNSA)

meters to help to reduce energy consumption | National meters to help to reduce energy consumption | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Pantex installs new meters to help to ... Pantex installs new meters to help to reduce energy consumption Posted By Office of Public Affairs Project Manager Janice Clark gives a safety briefing.

28

Reduced energy consumption by massive thermoelectric waste heat recovery in light duty trucks  

Science Conference Proceedings (OSTI)

The main objective of the EC funded HEATRECAR project is to reduce the energy consumption and curb CO2 emissions of vehicles by massively harvesting electrical energy from the exhaust system and re-use this energy to supply electrical components within the vehicle or to feed the power train of hybrid electrical vehicles. HEATRECAR is targeting light duty trucks and focuses on the development and the optimization of a Thermo Electric Generator (TEG) including heat exchanger

D. Magnetto; G. Vidiella

2012-01-01T23:59:59.000Z

29

MRMAC: medium reservation MAC protocol for reducing end-to-end delay and energy consumption in wireless sensor networks  

Science Conference Proceedings (OSTI)

This letter proposes a novel medium reservation MAC protocol that reduces both end-to-end delay and energy consumption for wireless sensor networks. MRMAC reduces endto-end delay by informing the intended receiver of NPAT (next packet arrival time) and ... Keywords: asynchronous, end-to-end delay, energy consumption, medium access control, wireless sensor networks

Jaeyoung Hong; Ingook Jang; Hanjin Lee; Suho Yang; Hyunsoo Yoon

2010-07-01T23:59:59.000Z

30

Rapid Metal Heating: Reducing Energy Consumption and Increasing Productivity in the Thermal Processing of Metals  

Science Conference Proceedings (OSTI)

Energy intensive manufacturing operations, such as iron and steel production, forging, and heat treating, are attempting to increase productivity while decreasing energy consumption.

2000-05-08T23:59:59.000Z

31

A wlan scheduling algorithm to reduce the energy consumption of a distributed speech recognition system  

E-Print Network (OSTI)

In distributed speech recognition, speech features are computed on a mobile device, compressed, and sent to a server that performs the computationally intensive search for the most likely word sequence. Much of the current research in distributed speech recognition has been in the area of feature compression and communication robustness over wireless links, including error correction and concealment techniques. However, another challenge in designing a distributed speech recognition system is minimizing the energy consumption on the mobile device. We consider quality-of-service tradeoffs including compression ratio and overall system latency. Our measurements verify that for high speed wireless interfaces such as 802.11b, small changes in compression rates have little effect on system level energy consumption. However, for wireless networks with lower power/bit-rate ratios such as Bluetooth, the choice of bit-rate and compression ratio becomes more important. We present a wireless LAN scheduling algorithm to minimize the energy consumption of a distributed speech recognition front-end on a mobile device. By powering down the 802.11b interface when not in use, we are able to reduce the energy consumption by up to a factor of 5 in heavy traffic conditions. Increasing the total amount of time spent in the off state to almost one second will allow the system to save power regardless of traffic conditions. We compare the results of this power saving algorithm to the low-power mechanisms of Bluetooth. The lower overhead of Bluetooth allows for greater energy savings with a much lower delay of approximately 300ms. 1.

Brian Delaney; Nikil Jayant

2003-01-01T23:59:59.000Z

32

China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China  

E-Print Network (OSTI)

accounting for 33% of national energy consumption and 47% ofenergy consumption of these 1000 enterprises accounted for 33% of national andEnergy Consumption of the 1000 Largest Industrial Enterprises in China Lynn Price, Lawrence Berkeley National

Price, Lynn

2008-01-01T23:59:59.000Z

33

Scenario analysis of retrofit strategies for reducing energy consumption in Norwegian office buildings  

E-Print Network (OSTI)

Model buildings were created for simulation to describe typical office buildings from different construction periods. A simulation program was written to predict the annual energy consumption of the buildings in their ...

Engblom, Lisa A. (Lisa Allison)

2006-01-01T23:59:59.000Z

34

Reducing data center energy consumption via coordinated cooling and load management  

Science Conference Proceedings (OSTI)

This paper presents a unified approach to data center energy management based on a modeling framework that characterizes the influence of key decision variables on computational performance, thermal generation, and power consumption. Temperature dynamics ...

Luca Parolini; Bruno Sinopoli; Bruce H. Krogh

2008-12-01T23:59:59.000Z

35

China's Top-1000 Energy-Consuming Enterprises Program:Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China  

Science Conference Proceedings (OSTI)

In 2005, the Chinese government announced an ambitious goal of reducing energy consumption per unit of GDP by 20% between 2005 and 2010. One of the key initiatives for realizing this goal is the Top-1000 Energy-Consuming Enterprises program. The energy consumption of these 1000 enterprises accounted for 33% of national and 47% of industrial energy usage in 2004. Under the Top-1000 program, 2010 energy consumption targets were determined for each enterprise. The objective of this paper is to evaluate the program design and initial results, given limited information and data, in order to understand the possible implications of its success in terms of energy and carbon dioxide emissions reductions and to recommend future program modifications based on international experience with similar target-setting agreement programs. Even though the Top-1000 Program was designed and implemented rapidly, it appears that--depending upon the GDP growth rate--it could contribute to somewhere between approximately 10% and 25% of the savings required to support China's efforts to meet a 20% reduction in energy use per unit of GDP by 2010.

Price, Lynn; Price, Lynn; Wang, Xuejun; Yun, Jiang

2008-06-02T23:59:59.000Z

36

Reducing energy consumption of multiprocessor SoC architectures by exploiting memory bank locality  

Science Conference Proceedings (OSTI)

The next generation embedded architectures are expected to accommodate multiple processors on the same chip. While this makes interprocessor communication less costly as compared to traditional high-end parallel machines, it also makes off-chip requests ... Keywords: Banked memory systems, bank locality, compiler optimization, energy consumption, multiprocessor SoC

Mahmut Taylan Kandemir

2006-04-01T23:59:59.000Z

37

Measuring and Reducing Energy Consumption of Network Interfaces in Hand-Held Devices  

E-Print Network (OSTI)

Next generation hand-held devices must provide seamless connectivity while obeying stringent power and size constrains. In this paper we examine this issue from the point of view of the Network Interface (NI). We measure the power usage of two PDAs, the Apple Newton Messagepad and Sony Magic Link, and four NIs, the Metricom Ricochet Wireless Modem, the AT&T Wavelan operating at 915 MHz and 2.4 GHz, and the IBM Infrared Wireless LAN Adapter. These measurements clearly indicate that the power drained by the network interface constitutes a large fraction of the total power used by the PDA. We then examine two classes of optimizations that can be used to reduce network interface energy consumption on these devices: transport-level strategies and application-level strategies. Simulation experiments of transportlevel strategies show that the dominant cost comes not from the number of packets sent or received by a particular transport protocol but the amount of time that the NI is in an activ...

Mark Stemm; Randy H. Katz; Y H. Katz

1997-01-01T23:59:59.000Z

38

Banked scratch-pad memory management for reducing leakage energy consumption  

E-Print Network (OSTI)

Current trends indicate that leakage energy consumption will be an important concern in upcoming process technologies. In this paper, we propose a compiler-based leakage energy optimization strategy for on-chip scratch-pad memories (SPMs). The idea is to divide SPM into banks and use compiler-guided data layout optimization and data migration to maximize SPM bank idleness, thereby increasing the chances of placing banks into low-power (low-leakage) state.

M. J. Irwin; G. Chen

2004-01-01T23:59:59.000Z

39

Use of Computer Simulation to Reduce the Energy Consumption in a Tall Office Building in Dubai-UAE  

E-Print Network (OSTI)

Buildings are a major consumer of energy and thus have a significant impact on the environment. The use of artificial lights is a major contributor to the energy usage in a typical office building using electricity to run the lights and also increasing the cooling load due to its heat dissipation. Proper design for the maximization of natural light helps reduce the use of artificial lights and results in reduction in the buildings energy consumption. Computer simulation of the lighting and energy consumption in a typical tall office building in Dubai-UAE is used to optimize the effectiveness of natural lighting penetration and calculate the associated energy savings. Two alternative building designs are proposed and tested. The overall energy savings for the whole building reached 31.4 % for the proposed oval shaped design. This represents a significant reduction in the buildings electricity load and thus its impact on the environment.

Abu-Hijleh, B.; Abu-Dakka, M.

2010-01-01T23:59:59.000Z

40

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997 CONSUMPTION AND ...  

U.S. Energy Information Administration (EIA)

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

Note: This page contains sample records for the topic "reduce energy 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

A knee brace design to reduce the energy consumption of walking  

E-Print Network (OSTI)

Recent research into the mechanics of walking indicates that a quasi passive wearable device could be created which dramatically reduces the metabolic energy used in walking especially when the wearer is carrying additional ...

Carvey, Matthew R

2005-01-01T23:59:59.000Z

42

Measures to reduce industrial consumption of petroleum under a short-term energy emergency  

SciTech Connect

Significant opportunities for petroleum conservation in the industrial sector in the event of an energy emergency are discussed. The most feasible government options identified are presented. These and the probable savings are: removing institutional barriers to fuel switching in industrial boilers and burners (384 to 407 Mbbl/day); rescinding certain air pollution regulations (19 to 100 Mbbl/day); restricting export of energy-intensive goods (20 to 60 Mbbl/day); rescinding thermal pollution regulations for power plants (16 to 27 Mbbl/day); removing trade barriers on certain imports; restricting electricity production by industry; and restricting export of recyclable materials. The bases for many of the recommended options are presented. Specifically, characteristics of industrial petroleum consumption for the chemical, steel, cement, and paper industries are presented.

Tessmer, R.G. Jr; D' Acierno, J.; Pilati, D.A.

1979-02-01T23:59:59.000Z

43

Fuel Consumption - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The Energy Information Administration, Residential Energy Consumption Survey(RTECS), 1994 Fuel Consumption

44

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

45

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

of Figures Aggregate energy usage statistics are insu?cientmonitoring of individual energy usages in real-time. . . . .Aggregated energy usage by appliance type normalized by

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

46

UK Energy Consumption by Sector The energy consumption data consists...  

Open Energy Info (EERE)

Consumption by Sector The energy consumption data consists of five spreadsheets: "overall data tables" plus energy consumption data for each of the following...

47

On the Effectiveness of Movement Prediction To Reduce Energy Consumption in  

E-Print Network (OSTI)

120 Percentageenergysaving(%) History length Random waypoint Model Fig. 2. Percentage energy saving in more energy saving. Figure 2 shows how energy saving increases with the increase of the history length decrease in #12;9 History Length Percentage decrease in Percentage energy Absolute energy average

Lui, John C.S.

48

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

distinguish useful and wasted energy. For example, if a userasleep might be called wasted energy. Currently, we do notwhere energy is consumed and wasted, and is a necessary step

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

49

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

for local energy generation, distribution, and sharing. IEEElocal energy generation, distribution, and sharing. In IEEEto-Grid Generation Transmission Distribution Load / DG

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

50

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

Architecture for Localized Electrical Energy Reduction, Generation, and Sharing) [46] is the smart-grid

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

51

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

3 System Architecture 3.1 Building as a2.1 Energy Flows in Buildings . . . . . . . . 2.1.1 Electric2.3.2 Networking . . . . . . . . . . . . 2.4 Building Energy

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

52

Reducing Energy Consumption through Optimization of the Operating Conditions of the Gas Trunk Pipeline.  

E-Print Network (OSTI)

?? Gas supplying process for consumers needs sufficient share of energy for upstream, midstream and downstream purposes. In spite of a huge amount of great… (more)

Albutov, Alexey

2013-01-01T23:59:59.000Z

53

Scenario analysis of retrofit strategies for reducing energy consumption in Norwegian office buildings.  

E-Print Network (OSTI)

??Model buildings were created for simulation to describe typical office buildings from different construction periods. A simulation program was written to predict the annual energy… (more)

Engblom, Lisa A. (Lisa Allison)

2006-01-01T23:59:59.000Z

54

Manufacturing Consumption of Energy 1991  

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

J Related EIA Publications on Energy Consumption Energy Information AdministrationManufacturing Consumption of Energy 1991 526 Appendix J Related EIA Publications on Energy...

55

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

voltage conversion, en- ergy metering, AC/DC power supply,interface with any metering resource uniformly via sMAP. InADE7753 as the energy metering IC. . . . . . . . . . . . .

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

56

A field demonstration of automatic restroom ventilation control to reduce energy consumption  

SciTech Connect

This report documents the motion sensor evaluation task for the Hanford Energy Management Committee (HEMC) performed by Pacific Northwest Laboratory (PNL) to support the energy reduction mission. The study included installing automatic exhaust ventilation controls in the restrooms of the 1103 Building, 100N area. The goal of this task was to measure the benefit of automatically controlling exhaust ventilation in restrooms of an office building on the Hanford Site. The HEMC belief is that the value of controlling the fans is not limited to the power consumed by the fans, but also includes the value invested to condition (heat or cool) the makeup air. The air exhausted to the exterior of the building must ultimately be replaced by unconditioned air from the outside. This outside air must then by conditioned to maintain the comfort of building occupants. 6 figs., 1 tab.

Doggett, W.H.; Merrick, S.B.; Richman, E.E.

1989-09-01T23:59:59.000Z

57

Can polarized lighting panels reduce energy consumption and improve visibility in building interiors  

SciTech Connect

The lighting and vision literature, materials on management science and the reflectivity of surfaces are reviewed. The analysis emphasized the connection between lighting design and productivity. It is concluded that polarizing panels should be included among the alternatives normally considered by the lighting designer to utilize energy more efficiently than normal general lighting systems using standard prismatic or diffusing panels. A lighting design using polarizing panels might use 1/4 to 1/3 less energy than a reference system using standard prismatic panels without compromising function. The estimate of the potential energy savings available with polarizing panels is based on the estimate of their efficiency at producing Equivalent Spherical Illumination (ESI). ESI combines the effects of luminance and contrast into a single figure of merit for visibility. A short history and some background of ESI and a discussion of the measured reflectivities of paper and pencil on paper are presented. These data are used in ESI calculations. The problems and limitations of evaluating lighting systems strictly in terms of ESI per watt (or dollar) are discussed. An attempt was made to evaluate polarizing panels in terms of the factors discussed. Additional information is provided in 4 appendices.

Berman, S.; Clear, R.

1979-08-01T23:59:59.000Z

58

Household Energy Consumption and Expenditures  

Reports and Publications (EIA)

Presents information about household end use consumption of energy and expenditures for that energy. These data were collected in the 2005 Residential Energy Consumption Survey (RECS)

Information Center

2008-09-01T23:59:59.000Z

59

Manufacturing Consumption of Energy 1991  

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

3. Energy Consumption in the Manufacturing Sector, 1991 In 1991, the amount of energy consumed in the manufacturing sector was as follows: * Primary Consumption of Energy for All...

60

Energy-consumption modelling  

SciTech Connect

A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.

Reiter, E.R.

1980-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "reduce energy 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

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...

62

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

63

China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China  

E-Print Network (OSTI)

Energy Agency – World Bank Energy Efficiency Indicatorsfacility to the Bank of Beijing for energy efficiencyBank of Beijing obtains 130 mln yuan IFC facility for energy

Price, Lynn

2008-01-01T23:59:59.000Z

64

China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China  

E-Print Network (OSTI)

ENERGY STAR for Industry Energy Guides include both process-s sector-wide energy efficiency guides provide informationto develop energy efficiency guides, which are being

Price, Lynn

2008-01-01T23:59:59.000Z

65

China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China  

E-Print Network (OSTI)

and Trade Commission, Energy Saving Office of ShandongImplementation of Energy-Saving Agreements in Shandongthe Thousand Enterprise Energy Saving Action Implementation

Price, Lynn

2008-01-01T23:59:59.000Z

66

China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China  

E-Print Network (OSTI)

the policies and energy management systems implemented inmanagement include s an energy purchase management system,energy use management system, an assessment of each

Price, Lynn

2008-01-01T23:59:59.000Z

67

China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China  

E-Print Network (OSTI)

reporting system, conduct energy audits, conduct training,auditing, an example of energy audits in a power plant, theenterprises regarding energy audits for the Top-1000 program

Price, Lynn

2008-01-01T23:59:59.000Z

68

Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use  

E-Print Network (OSTI)

Energy Consumption Characterization and Reduction Strategiesand reducing the energy consumption of milling machine toolsGreen Machine Tools; Energy Consumption Reduction; Specific

Diaz, Nancy; E. Redelsheimer; Dornfeld, David

2011-01-01T23:59:59.000Z

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

Household Vehicles Energy Consumption 1991  

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

DOEEIA-0464(91) Distribution Category UC-950 Household Vehicles Energy Consumption 1991 December 1993 Energy Information Administration Office of Energy Markets and End Use U.S....

71

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...

72

Energy consumption of building 39; Energy consumption of building thirty-nine.  

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… (more)

Hopeman, Lisa Maria

2007-01-01T23:59:59.000Z

73

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

74

2009 Energy Consumption Per Person  

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

Per capita energy consumption across all sectors of the economy. Click on a state for more information.

75

Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use  

E-Print Network (OSTI)

Cutting Condition on Power Consumption of Machine Tools, in:Energy Consumption Characterization and Reduction Strategiesand reducing the energy consumption of milling machine tools

Diaz, Nancy; E. Redelsheimer; Dornfeld, David

2011-01-01T23:59:59.000Z

76

Electrical appliance energy consumption control methods and ...  

Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy ...

77

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

U.S. Energy Information Administration (EIA)

State Energy Data System ... An Assessment of EIA's Building Consumption Data. ... Commercial Buildings - CBECS. Manufacturing - MECS.

78

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

79

Potential for Reducing Consumption Through Distribution Efficiency  

Science Conference Proceedings (OSTI)

In 2007, EPRI released a Prism analysis, providing a technically and economically feasible roadmap for the electricity sector to reduce its greenhouse gas emissions. This approach has been extended to evaluate the utility distribution sector and opportunities to improve efficiency and reduce consumption. Possible improvements in efficiency are estimated by improvement category, including use of more efficient transformers and better reactive power management. Voltage optimization is a significant option ...

2010-12-31T23:59:59.000Z

80

Manufacturing Consumption of Energy 1994  

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

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...

Note: This page contains sample records for the topic "reduce energy 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

Household Vehicles Energy Consumption 1991  

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

Appendix A How the Survey Was Conducted Introduction The Residential Transportation Energy Consumption Survey (RTECS) was designed by the Energy Information Administration (EIA)...

82

Manufacturing Consumption of Energy 1991  

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

B Survey Design, Implementation, and Estimates Introduction The 1991 Manufacturing Energy Consumption Survey (MECS) has been designed by the Energy Information Administration...

83

Household Vehicles Energy Consumption 1991  

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

a regular basis at the time of the 1990 RECS personal interviews. Electricity: See Main Heating Fuel. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991...

84

Household Vehicles Energy Consumption 1994  

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

AdministrationHousehold Vehicles Energy Consumption 1994 110 Electricity: See Main Heating Fuel. Energy Used in the Home: For electricity or natural gas, the quantity is the...

85

A WLAN SCHEDULING ALGORITHM TO REDUCE THE ENERGY CONSUMPTION OF A DISTRIBUTED SPEECH RECOGNITION FRONT-END  

E-Print Network (OSTI)

and planned consumption needs, agreed electric power deliveries and agreed electric power import, in order) as well as the other power plants, telecommunication system, information system and other infrastructure 3590108 Source: EPS Supply and consumption of electric power of 2004 and 2005 is given in Table 5

Simunic, Tajana

86

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.

87

Reducing Greenhouse Emissions and Fuel Consumption  

E-Print Network (OSTI)

the Emissions and Fuel Consumption Impacts of IntelligentTravel Time, Fuel Consumption and Weigh Station Efficiency.EMISSIONS AND FUEL CONSUMPTION - Sustainable Approaches for

Shaheen, Susan; Lipman, Timothy

2007-01-01T23:59:59.000Z

88

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

E-Print Network (OSTI)

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

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

2004-01-01T23:59:59.000Z

89

World energy consumption  

Science Conference Proceedings (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

90

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

U.S. Energy Information Administration (EIA)

Maps by energy source and topic, includes ... Total United States energy consumption in homes has remained relatively stable for many years as increased energy ...

91

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

U.S. Energy Information Administration (EIA)

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

92

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (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....

93

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

may not sum to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Form EIA-871A of the 2003 Commercial Buildings Energy Consumption Survey....

94

Household Vehicles Energy Consumption 1994  

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

W as hi ng to n, DC DOEEIA-0464(94) Distribution Category UC-950 Household Vehicles Energy Consumption 1994 August 1997 Energy Information Administration Office of Energy Markets...

95

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997  

U.S. Energy Information Administration (EIA)

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

96

Manufacturing Consumption of Energy 1991  

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

includes descriptions of the 30 groups that comprise the strata of the Manufacturing Energy Consumption Survey. These are the 20 major industrial groups (two-digit SIC) and...

97

2001 Residential Energy Consumption Survey  

U.S. Energy Information Administration (EIA)

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

98

Manufacturing consumption of energy 1991  

SciTech Connect

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.

1994-12-01T23:59:59.000Z

99

An Analysis of Measures to Reduce the Life-Cycle Energy Consumption and Greenhouse Gas Emissions of California's Personal Computers  

E-Print Network (OSTI)

Prepared for the California Energy Commission, Sacramento,Laboratory for the California Energy Commission, PIERof the University of California Energy Institute's (UCEI)

Horvath, A; Masanet, Eric

2007-01-01T23:59:59.000Z

100

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

Note: This page contains sample records for the topic "reduce energy 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

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

102

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

103

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...

104

Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption  

Alternative Fuels and Advanced Vehicles Data Center (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

105

Multi-facet approach to reduce energy consumption in clouds and grids: the GREEN-NET framework  

Science Conference Proceedings (OSTI)

This paper presents an integrated framework for energy savings in large scale distributed systems such as grids and clouds. The framework comprises tools and mechanisms: to measure and log data about the energy consumed by resources; to present this ...

Georges Da Costa; Marcos Dias de Assunção; Jean-Patrick Gelas; Yiannis Georgiou; Laurent Lefèvre; Anne-Cécile Orgerie; Jean-Marc Pierson; Olivier Richard; Amal Sayah

2010-04-01T23:59:59.000Z

106

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Next CBECS will be conducted in 2007 Table C31A. Natural Gas Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003 Total Natural Gas Consumption...

107

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Next CBECS will be conducted in 2007 Table C25A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Natural Gas Consumption...

108

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Next CBECS will be conducted in 2007 Table C32A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Natural Gas Consumption...

109

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C10A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 Sum of Major Fuel Consumption...

110

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Next CBECS will be conducted in 2007 Table C30A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Natural Gas Consumption...

111

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Next CBECS will be conducted in 2007 Table C35A. Fuel Oil Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Fuel Oil Consumption...

112

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

U.S. Energy Information Administration (EIA)

A B C D E F G H I J K L M N O P Q R S T U V W XYZ ‹ Consumption & Efficiency Residential Energy Consumption Survey (RECS) Glossary ...

113

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).

114

Software Techniques to Reduce the Energy Consumption of Low-Power Devices at the Limits of Digital Abstractions.  

E-Print Network (OSTI)

??My thesis explores the effectiveness of software techniques that bend digital abstractions in order to allow embedded systems to do more with less energy. Recent… (more)

Salajegheh, Mastooreh

2013-01-01T23:59:59.000Z

115

2009 Energy Consumption Per Person | Department of Energy  

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

Field Sites Power Marketing Administration Other Agencies You are here Home 2009 Energy Consumption Per Person 2009 Energy Consumption Per Person 2009 Energy Consumption...

116

Monitoring and Management of Refinery Energy Consumption  

E-Print Network (OSTI)

Since 1972, the U.S. refining industry has made much progress in reducing energy consumption. Lately, falling energy prices have de-emphasized the need to appropriate new capital for additional energy conservation projects. One area neglected in most refineries is the need to monitor and manage the daily use of energy. Setting up an energy auditing system will tell management how well each unit in the refinery is being operated and can be used as a valuable tool in reducing energy costs. An example of an energy monitorirg and management system is discussed and illustrated with examples.

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

1986-06-01T23:59:59.000Z

117

Reducing system level power consumption for mobile and embedded platforms  

E-Print Network (OSTI)

Abstract. The power consumption of peripheral devices is a significant portion of the overall energy usage of a mobile platform. To take advantage of idle times, most devices offer the ability to transition into low power states. However, the amount of energy saved by utilizing these sleep states depends on the lengths and number of idle periods experienced by the device. This paper describes a new process scheduling algorithm which accumulates device usage information in the form of device windows to make power a first class resource: it attempts to increase the burstiness of both device accesses and idle periods, and it provides enhanced behavior for timeout-based sleep mechanisms. An initial implementation based on the default Linux scheduler demonstrates the algorithm’s and approach’s ability to reduce the average power consumption of devices by increasing device sleep times and reducing transition overheads. 1

Ripal Nathuji; Karsten Schwan

2005-01-01T23:59:59.000Z

118

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).

119

Monitoring Energy Consumption of Smartphones  

E-Print Network (OSTI)

With the rapid development of new and innovative applications for mobile devices like smartphones, advances in battery technology have not kept pace with rapidly growing energy demands. Thus energy consumption has become a more and more important issue of mobile devices. To meet the requirements of saving energy, it is critical to monitor and analyze the energy consumption of applications on smartphones. For this purpose, we develop a smart energy monitoring system called SEMO for smartphones using Android operating system. It can profile mobile applications with battery usage information, which is vital for both developers and users.

Ding, Fangwei; Zhang, Wei; Zhao, Xuhai; Ma, Chengchuan

2012-01-01T23:59:59.000Z

120

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (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....

Note: This page contains sample records for the topic "reduce energy 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

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...

122

Analysis of the research and development effort in the private sector to reduce energy consumption in irrigated agriculture  

SciTech Connect

Manufacturers of irrigation equipment perform research and development in an effort to improve or maintain their position in a very competitive market. The market forces and conditions that create the intense competition and provide incentive for invention are described. Particular emphasis is placed on the market force of increased energy costs, but the analysis is developed from the perspective that energy is but one of many inputs to agricultural production. The analysis is based upon published literature, patent activity profiles, microeconomic theory, and conversations with many representatives of the irrigation industry. The published literature provides an understanding of the historical development of irrigation technology, a description of the industry's structure, and various data, which were important for the quantitative analyses. The patent activity profiles, obtained from the US Patent Office, provided details of patent activity within the irrigation industry over the past decade. Microeconomic theory was used to estimate industry-wide research and development expenditures on energy-conserving products. The results of these analyses were then compared with the insights gained from conversations with the industry representatives.

Rogers, E.A.; Cone, B.W.

1980-09-01T23:59:59.000Z

123

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

124

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

U.S. Energy Information Administration (EIA)

RECS data show decreased energy consumption per household. RECS 2009 — Release date: June 6, 2012. Total United States energy consumption in homes has remained ...

125

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

U.S. Energy Information Administration (EIA)

... video - Keeping Our Homes Warm, released November 2, 2012. Energy consumption per home has steadily declined over the last three decades ...

126

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

U.S. Energy Information Administration (EIA)

This Week in Petroleum › Weekly Petroleum Status Report › Weekly Natural Gas ... Total United States energy consumption in homes has remained relatively ...

127

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

U.S. Energy Information Administration (EIA)

Consumption & Efficiency. Energy use in homes, commercial buildings, ... State Energy Data System: Noncombustible Renewable Energy for 2011 ...

128

Energy Information Administration - Energy Efficiency, energy consumption  

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

Efficiency Efficiency Energy Efficiency energy consumption savings households, buildings, industry & vehicles The Energy Efficiency Page reflects EIA's information on energy efficiency and related information. This site provides an in depth discussion of the concept of energy efficiency and how it is measured, measurement, summaries of formal user meetings on energy efficiency data and measurement, as well as analysis of greenhouse gas emissions as related to energy use and energy efficiency. At the site you will find links to other sources of information, and via a listserv all interested analysts can share ideas, data, and ask for assistance on methodological problems associated with energy use, energy efficiency, and greenhouse gas issues. Contact: Behjat.Hojjati@eia.doe.gov

129

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network (OSTI)

2008 Standby Power Consumption Report”, March. http://of measurement for the power consumption of audio, video andand Low Power Mode Energy Consumption”, Energy Efficiency in

Park, Won Young

2011-01-01T23:59:59.000Z

130

Consumption | Department of Energy  

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

NREL. National Clean Fleets partners are investing in hybrid vehicles to reduce their oil use, vehicle emissions and fuel costs. Detecting Air Leaks For a thorough and accurate...

131

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.

132

Federal Energy Management Program: Data Center Energy Consumption Trends  

NLE Websites -- All DOE Office Websites (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

133

Renewable Energy Consumption for Nonelectric Use by Energy Use...  

Open Energy Info (EERE)

Renewable Energy Consumption for Nonelectric Use by Energy Use Sector and Energy Source, 2004 - 2008 This dataset provides annual renewable energy consumption (in quadrillion Btu)...

134

Historical Renewable Energy Consumption by Energy Use Sector...  

Open Energy Info (EERE)

Historical Renewable Energy Consumption by Energy Use Sector and Energy Source, 1989-2008 Provides annual renewable energy consumption by source and end use between 1989 and 2008....

135

TV Energy Consumption Trends and Energy-Efficiency Improvement...  

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

TV Energy Consumption Trends and Energy-Efficiency Improvement Options Title TV Energy Consumption Trends and Energy-Efficiency Improvement Options Publication Type Report LBNL...

136

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

137

Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program  

E-Print Network (OSTI)

Industry Constraining Energy Consumption of China’s Largestto-one ratio of energy consumption to GDP – given China’sgoal of reducing energy consumption per unit of GDP by 20%

Price, Lynn; Wang, Xuejun

2007-01-01T23:59:59.000Z

138

Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program  

E-Print Network (OSTI)

Industry Constraining Energy Consumption of China’s Largestone-to-one ratio of energy consumption to GDP – given China’goal of reducing energy consumption per unit of GDP by 20%

Price, Lynn; Wang, Xuejun

2007-01-01T23:59:59.000Z

139

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

140

Household Vehicles Energy Consumption  

Reports and Publications (EIA)

This report provides newly available national and regional data and analyzes the nation's energy use by light-duty vehicles. This release represents the analytical component of the report, with a data component having been released in early 2005.

Mark Schipper

2005-11-30T23:59:59.000Z

Note: This page contains sample records for the topic "reduce energy 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

Residential Energy Consumption Survey (RECS) - Energy Information  

NLE Websites -- All DOE Office Websites (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

143

The 1997 Residential Energy Consumption Survey -- Two Decades  

U.S. Energy Information Administration (EIA)

1997 Residential Energy Consumption Survey presents two decades of changes in energy consumption related Household Characteristics

144

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

145

Optimization of Electric Energy Consumption in Marginal California Oilfields  

Science Conference Proceedings (OSTI)

This report documents a pilot study of electricity consumption in California oilfields that found significant potential for reducing costs through energy efficiency improvements. It offers suggestions for reducing electricity consumption that, if implemented, could result in a system-wide demand reduction and reduce the need for additional generation and power infrastructure capacity. Moreover, reducing oilfield energy costs would reduce the overall cost of oil production, helping marginal wells remain a...

2003-01-17T23:59:59.000Z

146

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

147

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

U.S. Energy Information Administration (EIA)

How can we compare or add up our energy consumption? To compare or aggregate energy consumption across different energy sources like oil, natural gas, ...

148

Table CT1. Energy Consumption Estimates for Major Energy Sources ...  

U.S. Energy Information Administration (EIA)

R A D O. U.S. Energy Information Administration State Energy Data 2011: Consumption 89 Table CT6. Industrial Sector Energy Consumption Estimates, Selected Years, 1960 ...

149

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

U.S. Energy Information Administration (EIA)

How can we compare or add up our energy consumption? To compare or aggregate energy consumption across different energy sources like oil, natural gas, and electricity ...

150

Table CT1. Energy Consumption Estimates for Major Energy ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration State Energy Data 2011: Consumption 365 Table CT2. Primary Energy Consumption Estimates, Selected Years, 1960-2011, North ...

151

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C12A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 Sum of...

152

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C3A. Consumption and Gross Energy Intensity for Sum of Major Fuels for All Buildings, 2003 All Buildings Sum of Major...

153

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Next CBECS will be conducted in 2007 Table C29A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Natural Gas...

154

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C7A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 1...

155

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Next CBECS will be conducted in 2007 Table C28A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Natural Gas...

156

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Next CBECS will be conducted in 2007 Table C27A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Natural Gas...

157

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C9A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 3...

158

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C11A. Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for All Buildings, 2003 Sum of...

159

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C5A. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for All Buildings, 2003 Sum of...

160

Modelling Energy Consumption in China  

E-Print Network (OSTI)

Energy consumption in China has attracted considerable research interest since the middle 1990s. This is largely prompted by the environmental ramifications of the extensive use of fossil fuels in the country to propel two decades of high economic growth. Since the late 1980s, there has been an increasing awareness on the part of the Chinese government of the imperative for the balance of economic growth and environmental protection. The government has since taken various measures ranging from encouraging energy-saving practice, controlling waste discharges to financing R & D programs on improving energy efficiency. Against this backdrop has seen a constant decline of the energy intensity of the economy, measured as the ratio of total energy consumed in standard coal equivalent to the real GDP since 1989. Using the 1987 and 1997 input-output tables for China, the present study examines the impact of technical and structural changes in the economy on industry fuel consumption over the 10-year period. Technical changes are reflected in changes in direct input-output coefficients, which capture the technical evolvement of intermediate production processes. Structural changes refer to shifts in the pattern of final demand for energy, including the import and export composition of various fuels. Six fuels are included in the study, namely, coal, oil, natural gas, electricity, petroleum and coke and gas, which cover all of the energy types available in the input-output tables. It is found that the predominant force of falling energy intensity was changes in direct energy input requirements in various industries. Such changes were responsible for a reduction in the consumption of four of the six fuels per unit of total output. Structural changes were not conducive for improv...

Baiding Hu Department; Baiding Hu

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "reduce energy 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

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

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Annual state-level estimates of consumption for hydroelectric power, wind, geothermal, and solar energy. Annual Energy Outlook 2013.

162

All Consumption Tables - Energy Information Administration  

U.S. Energy Information Administration (EIA)

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

163

Household vehicles energy consumption 1994  

SciTech Connect

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

164

Major Corporate Fleets Align to Reduce Oil Consumption | Department of  

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

Major Corporate Fleets Align to Reduce Oil Consumption Major Corporate Fleets Align to Reduce Oil Consumption Major Corporate Fleets Align to Reduce Oil Consumption April 1, 2011 - 1:07pm Addthis President Obama announces the National Clean Fleets Partnership to help companies reduce fuel usage by incorporating electric vehicles, alternative fuels, and conservation techniques. Dennis A. Smith Director, National Clean Cities What does this project do? Cuts oil imports and consumption Helps businesses save money Increases the efficiency of large-scale fleets Reduces emissions Surrounded by cutting-edge vehicles, from all-electric trucks to hydraulic hybrids, President Obama today announced the National Clean Fleets Partnership, an initiative of the Department's Clean Cities program, at a UPS fleet facility in Landover, Maryland. This public-private partnership

165

Major Corporate Fleets Align to Reduce Oil Consumption | Department of  

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

Major Corporate Fleets Align to Reduce Oil Consumption Major Corporate Fleets Align to Reduce Oil Consumption Major Corporate Fleets Align to Reduce Oil Consumption April 1, 2011 - 1:07pm Addthis President Obama announces the National Clean Fleets Partnership to help companies reduce fuel usage by incorporating electric vehicles, alternative fuels, and conservation techniques. Dennis A. Smith Director, National Clean Cities What does this project do? Cuts oil imports and consumption Helps businesses save money Increases the efficiency of large-scale fleets Reduces emissions Surrounded by cutting-edge vehicles, from all-electric trucks to hydraulic hybrids, President Obama today announced the National Clean Fleets Partnership, an initiative of the Department's Clean Cities program, at a UPS fleet facility in Landover, Maryland. This public-private partnership

166

State energy data report 1992: Consumption estimates  

SciTech Connect

This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

Not Available

1994-05-01T23:59:59.000Z

167

Residential Energy Consumption Survey Data Tables  

U.S. Energy Information Administration (EIA)

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

168

Energy Consumption and Expenditures RECS 2001  

U.S. Energy Information Administration (EIA)

Water Heating. Space Heating. Appliances. Air-Conditioning. About the Data. Tables: Total Energy Consumption in U.S ...

169

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 . .

170

Historical Renewable Energy Consumption by Energy Use Sector and Energy  

Open Energy Info (EERE)

Historical Renewable Energy Consumption by Energy Use Sector and Energy Historical Renewable Energy Consumption by Energy Use Sector and Energy Source, 1989-2008 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

171

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

172

Reducing Transient and Steady State Electricity Consumption  

E-Print Network (OSTI)

Learning-Based Model-Predictive Control Energy efficiency improvement in HVAC systems is investigated in this paper; a model-predictive control strategy is proposed to maintain comfortable temperature. By Anil a control strategy that uses learning-based model-predictive control (MPC) to learn and compensate

California at Berkeley, University of

173

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

174

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.

175

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

176

Reducing the Federal Energy Bill  

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

1 1 Reducing the Federal Energy Bill Berkeley Lab's Work with the Federal Energy Management Program It costs billions of dollars and uses more energy than any other entity in the United States. What is it? Answer: the Federal government. In fiscal year 1995, the Federal government spent $8 billion on a net energy consumption of 1.15 quadrillion BTUs. While that may be a lot of energy in absolute terms, the numbers have been improving for years. Compared with fiscal year 1985, the 1995 energy-use figure is down by 22.5%, and the costs are down $2.5 billion. The decline is explained in part by the activities of FEMP (the Federal Energy Management Program) and the efforts of energy-efficiency experts at national laboratories, such as those at Berkeley Lab's Environmental Energy

177

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.

2012-12-11T23:59:59.000Z

178

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

U.S. Energy Information Administration (EIA)

A video about changes in home heating in the United States. Annual Energy Review Consumption Statistics. Released September 27, 2012. A report of annual energy ...

179

Commercial Buildings Energy Consumption and Expenditures 1992  

Annual Energy Outlook 2012 (EIA)

(92) Distribution Category UC-950 Commercial Buildings Energy Consumption and Expenditures 1992 April 1995 Contacts The Energy Information Administration (EIA) prepared this...

180

Residential Energy Consumption Survey data show decreased ...  

U.S. Energy Information Administration (EIA)

Total U.S. energy consumption in homes has remained relatively stable for many years as increased energy efficiency has offset the increase in the ...

Note: This page contains sample records for the topic "reduce energy 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

Electrical appliance energy consumption control methods and electrical energy consumption systems  

DOE Patents (OSTI)

Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy consumption control method includes providing an electrical appliance coupled with a power distribution system, receiving electrical energy within the appliance from the power distribution system, consuming the received electrical energy using a plurality of loads of the appliance, monitoring electrical energy of the power distribution system, and adjusting an amount of consumption of the received electrical energy via one of the loads of the appliance from an initial level of consumption to an other level of consumption different than the initial level of consumption responsive to the monitoring.

Donnelly, Matthew K. (Kennewick, WA); Chassin, David P. (Pasco, WA); Dagle, Jeffery E. (Richland, WA); Kintner-Meyer, Michael (Richland, WA); Winiarski, David W. (Kennewick, WA); Pratt, Robert G. (Kennewick, WA); Boberly-Bartis, Anne Marie (Alexandria, VA)

2008-09-02T23:59:59.000Z

182

Electrical appliance energy consumption control methods and electrical energy consumption systems  

DOE Patents (OSTI)

Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy consumption control method includes providing an electrical appliance coupled with a power distribution system, receiving electrical energy within the appliance from the power distribution system, consuming the received electrical energy using a plurality of loads of the appliance, monitoring electrical energy of the power distribution system, and adjusting an amount of consumption of the received electrical energy via one of the loads of the appliance from an initial level of consumption to an other level of consumption different than the initial level of consumption responsive to the monitoring.

Donnelly, Matthew K. (Kennewick, WA); Chassin, David P. (Pasco, WA); Dagle, Jeffery E. (Richland, WA); Kintner-Meyer, Michael (Richland, WA); Winiarski, David W. (Kennewick, WA); Pratt, Robert G. (Kennewick, WA); Boberly-Bartis, Anne Marie (Alexandria, VA)

2006-03-07T23:59:59.000Z

183

EIA Average Energy Consumption 2005  

U.S. Energy Information Administration (EIA)

Table US8. Average Consumption by Fuels Used, 2005 Physical Units per Household Fuels Used (physical units of consumption per household using the fuel)

184

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 . . . . . . . . . . . . . . . . . . . . . . . --

185

Household energy consumption and expenditures 1993  

Science Conference Proceedings (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

186

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

187

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

188

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

189

Modelling Office Energy Consumption: An Agent Based  

E-Print Network (OSTI)

Modelling Office Energy Consumption: An Agent Based Approach Tao Zhang, Peer-Olaf Siebers, Uwe · Overall Project Background · Office Energy Consumption · Case Study · Simulation Experiments · Conclusions #12;Overall Project Background · EPSRC funded City Energy Future Project ­ Under Energy & Complexity

Aickelin, Uwe

190

Consumption & Efficiency | U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

Consumption and efficiency analysis & projections. Annual Energy Outlook 2013 Reference Case: consumption by sector projections; energy intensity projections

191

EIA Renewable Energy- The Role of Renewable Energy Consumption in ...  

U.S. Energy Information Administration (EIA)

Pie graph and bar graph showing the percentage of renewable energy consumption in the Nation's overall energy supply

192

Residential Energy Consumption Survey Results: Total Energy Consumptio...  

Open Energy Info (EERE)

Consumption Survey Results: Total Energy Consumption, Expenditures, and Intensities (2005)

193

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

U.S. Energy Information Administration (EIA)

Energy use in homes, commercial buildings, ... Manufacturing energy consumption data show large reductions in both manufacturing energy use and the energy intensity ...

194

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

195

Household vehicles energy consumption 1991  

Science Conference Proceedings (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

196

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

197

TECHNICAL DOCUMENTATION Commercial Buildings Energy Consumption Survey  

Reports and Publications (EIA)

This is the technical documentation for the public use data set based on the 1992 Commercial Buildings Energy Consumption Survey (CBECS), the national sample survey of commercial buildings and their energy suppliers conducted by the Energy Information Administration.

Information Center

1996-07-01T23:59:59.000Z

198

A Green Solution To Energy Consumption  

Science Conference Proceedings (OSTI)

Presentation Title, MAX HT® Bayer Sodalite Scale Inhibiter: A Green Solution To Energy Consumption. Author(s), Morris E. Lewellyn, Alan Rothenberg, Calvin ...

199

Manufacturing Energy Consumption Survey (MECS) - Analysis ...  

U.S. Energy Information Administration (EIA)

The gross output for the petroleum and coal products subsector grew by about 3 percent, ... Manufacturing Energy Consumption Survey, MECS Definition of Fuel Use, ...

200

Figure 70. Delivered energy consumption for transportation ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 70. Delivered energy consumption for transportation by mode, 2011 and 2040 (quadrillion Btu) Total Rail Pipeline Marine ...

Note: This page contains sample records for the topic "reduce energy 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

Renewable Energy Consumption and Electricity Preliminary ...  

U.S. Energy Information Administration (EIA)

Renewable Energy Consumption and Electricity Preliminary Statistics 2010 June 2011 ... and Job Creation Act of 2010 (H.R. 4853) was signed in December

202

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

U.S. Energy Information Administration (EIA)

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

203

California Energy Commission - Electricity Consumption by Planning...  

Open Energy Info (EERE)

Planning Area (1990-2009) Electricity consumption data from the California Energy Commission by planning area for Commercial, Residential, Ag & Water Pump, Streetlight,...

204

State energy data report 1993: Consumption estimates  

SciTech Connect

The State Energy Data Report (SEDR) 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), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS 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.

NONE

1995-07-01T23:59:59.000Z

205

State Energy Data Report, 1991: Consumption estimates  

DOE Green Energy (OSTI)

The State Energy Data Report (SEDR) 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), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

Not Available

1993-05-01T23:59:59.000Z

206

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

207

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

208

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

209

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

210

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

211

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

212

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

213

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

214

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

215

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

216

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

217

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

218

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

219

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

220

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

Note: This page contains sample records for the topic "reduce energy 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

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

222

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

223

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

224

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

225

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

226

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

227

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

228

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

229

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

230

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

231

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

232

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

233

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

234

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

235

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)

236

State energy data report 1994: Consumption estimates  

Science Conference Proceedings (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

237

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

238

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

239

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

U.S. Energy Information Administration (EIA)

The major energy sources in the United States are petroleum (oil), natural ... To compare or aggregate energy consumption across different energy sources like oil, ...

240

State energy data report 1996: Consumption estimates  

Science Conference Proceedings (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

Note: This page contains sample records for the topic "reduce energy 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

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

242

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

243

Preliminary Analysis of Energy Consumption For Cool Roofing Measures  

E-Print Network (OSTI)

Preliminary Analysis of Energy Consumption For Cool Roofing Measures By Joe Mellott, Joshua New to reduce energy demand by reflecting sunlight away from structures and back into the atmosphere. By use of commonly available calculators, one can analyze the potential energy savings based on environmental

Tennessee, University of

244

A biological/chemical process for reduced waste and energy consumption, Caprolactam production: Phase 1, Select microorganisms and demonstrate feasibility. Final report  

DOE Green Energy (OSTI)

A novel biological/chemical process for converting cyclohexane into caprolactam was investigated. Microorganisms in a bioreactor would be used to convert cyclohexane into caprolactone followed by chemical synthesis of caprolactam using ammonia. The proposed bioprocess would be more energy efficient and reduce byproducts and wastes that are generated by the current chemical process. We have been successful in isolating from natural soil and water samples two microorganisms that can utilize cyclohexane as a sole source of carbon and energy for growth. These microorganisms were shown to have the correct metabolic intermediates and enzymes to convert cyclohexane into cyclohexanol, cyclohexanone and caprolactone. Genetic techniques to create and select for caprolactone hydrolase negative-mutants are being developed. These blocked-mutants will be used to convert cyclohexane into caprolactone but, because of the block, be unable to metabolize the caprolactone further and excrete it as a final end product.

St.Martin, E.J.

1995-08-01T23:59:59.000Z

245

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:

246

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

8A. District Heat Consumption and Expenditure Intensities for All Buildings, 2003 District Heat Consumption District Heat Expenditures per Building (million Btu) per Square Foot...

247

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

7A. Total District Heat Consumption and Expenditures for All Buildings, 2003 All Buildings Using District Heat District Heat Consumption District Heat Expenditures Number of...

248

Modeling overall energy consumption in Wireless Sensor Networks  

E-Print Network (OSTI)

Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization. Optimizing a specific component of the total energy cost does not help in reducing the total energy cost as this reduction may be negated by an increase in the energy consumption of other components of the application. Recently we proposed Hierarchy Energy Driven Architecture as a robust architecture that takes into account all principal energy constituents of wireless sensor network applications. Based on the proposed architecture, this paper presents a single overall model and proposes a feasible formulation to express the overall energy consumption of a generic wireless sensor network application in terms of its energy constituents. The formulation offers a concrete expression for evaluating the performance of ...

Kamyabpour, Najmeh

2011-01-01T23:59:59.000Z

249

Table 2.1d Industrial Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

Table 2.1d Industrial Sector Energy Consumption Estimates, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Electricity

250

Table 2.1e Transportation Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

Table 2.1e Transportation Sector Energy Consumption Estimates, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Electricity

251

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

U.S. Energy Information Administration (EIA)

Crude oil, gasoline ... Manufacturing Energy Consumption Survey (MECS ... transportation, manufacturing, and a variety of consumer products. It is the ...

252

How much of world energy consumption and electricity generation is ...  

U.S. Energy Information Administration (EIA)

How much of world energy consumption and electricity generation is from renewable energy? EIA estimates that about 10% of world marketed energy consumption is from ...

253

Industrial Biomass Energy Consumption and Electricity Net Generation...  

Open Energy Info (EERE)

Industrial Biomass Energy Consumption and Electricity Net Generation by Industry and Energy Source, 2008 Biomass energy consumption and electricity net generation in the industrial...

254

Residential Energy Consumption Survey: Quality Profile  

SciTech Connect

The Residential Energy Consumption Survey (RECS) is a periodic national survey that provides timely information about energy consumption and expenditures of U.S. households and about energy-related characteristics of housing units. The survey was first conducted in 1978 as the National Interim Energy Consumption Survey (NIECS), and the 1979 survey was called the Household Screener Survey. From 1980 through 1982 RECS was conducted annually. The next RECS was fielded in 1984, and since then, the survey has been undertaken at 3-year intervals. The most recent RECS was conducted in 1993.

NONE

1996-03-01T23:59:59.000Z

255

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

256

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

257

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

258

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

259

Estimates of US biomass energy consumption 1992  

DOE Green Energy (OSTI)

This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

Not Available

1994-05-06T23:59:59.000Z

260

Energy Consumption Issues on Mobile Network Systems  

Science Conference Proceedings (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 "reduce energy 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

Predicting summer energy consumption from homeowners attitudes  

SciTech Connect

Two surveys examined the relationship between homeowners attitudes toward energy use and their actual summer electric consumption. In Survey 1, 56 couples filled out questionnaires concerning their energy attitudes. A factor analysis of their responses revealed four factors: comfort and health concerns, effort to conserve and monetary savings, role of the individual, and legitimacy of the energy crisis. The factors were entered into a multiple regression analysis to predict actual summer electric consumption. The attitudinal factors together significantly accounted for 55% of the variance in summer electric consumption. The comfort and health factor by itself explained 30% of the consumption variance. Survey 2, consisting of 69 couples, was conducted to elaborate the meaning of the factors. The results of the factor analysis of Survey 2 revealed six factors: comfort, health, individual's role, belief in science, legitimacy of the energy crisis, and effort to conserve. An overall regression analysis showed that the factors significantly explained nearly 60% of the summer consumption variance. The comfort factor was again the best predictor of summer electric consumption, accounting for 42% of the variance. It was concluded that attitudes about one's comfort are significantly related to household energy consumption (primarily air conditioning). The implications for energy conservation campaigns were discussed. 10 references, 3 tables.

Seligman, C.; Kriss, M.; Darley, J.M.; Fazio, R.H.; Becker, L.J.; Pryor, J.B.

1979-01-01T23:59:59.000Z

262

UN Alcohol Energy Data: Consumption by Other Consumers The Energy  

Open Energy Info (EERE)

Other Consumers The Energy Statistics Database contains comprehensive energy statistics on the production, trade, conversion and final consumption of primary and secondary;...

263

Residential Energy Consumption - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

The Residential Energy Consumption Survey provides national and regional information about U.S. households and their energy usage. The first survey was conducted in 1978.

264

Number, Energy Consumption, and Energy-Related Carbon ...  

U.S. Energy Information Administration (EIA)

Tabulation of changes in the number, energy consumption, and energy-related carbon emissions of U.S. households, 1980-1997.

265

Floorspace, Energy Consumption, and Energy-Related Carbon ...  

U.S. Energy Information Administration (EIA)

Tabulation of changes in the amount of floorspace, energy consumption, and energy-related carbon emissions of U.S. commercial buildings, 1979-1995.

266

Figure 66. Change in delivered energy consumption for energy ...  

U.S. Energy Information Administration (EIA)

Change in delivered energy consumption for energy-intensive industries in three cases, 2011-2040 ... Iron and steel Bulk chemicals Glass Paper products Food products

267

State energy data report 1995 - consumption estimates  

Science Conference Proceedings (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 State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS 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.

NONE

1997-12-01T23:59:59.000Z

268

California Energy Commission - Electricity Consumption by County  

Open Energy Info (EERE)

County (2006-2009) Electricity consumption data from the California Energy Commission sorted by County for Residential and Non-residential from 2006 to 2009.


...

269

Illinois energy consumption 1963-1977  

SciTech Connect

This report contains current and historical Illinois energy consumption data by consuming sector and fuel type. It also contains detailed description of mapping techniques used in developing the data.

Hill, L.; Biermann, W.

1979-06-01T23:59:59.000Z

270

OpenEI - Renewable Energy Consumption  

Open Energy Info (EERE)

Jul 2011 18:05:28 +0000 Meredith1219 758 at http:en.openei.orgdatasets EIA Data: 2009 United States Renewable Energy Consumption by Sector and Source http:en.openei.org...

271

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

U.S. Energy Information Administration (EIA)

A B C D E F G H I J K L M N O P Q R S T U V W XYZ ‹ Consumption & Efficiency Manufacturing Energy Consumption Survey (MECS) Glossary ...

272

ELECTRICITY CONSUMPTION TO INFORM DATA-DRIVEN ENERGY EFFICIENCY  

E-Print Network (OSTI)

Abstract. Effective demand-side energy efficiency policies are needed to reduce residential electricity consumption and its harmful effects on the environment. The first step to devise such polices is to quantify the potential for energy efficiency by analyzing the factors that impact consumption. This paper proposes a novel approach to analyze large data sets of residential electricity consumption to derive insights for policy making and energy efficiency programming. In this method, underlying behavioral determinants that impact residential electricity consumption are identified using Factor Analysis. A distinction is made between long-term and short-term determinants of consumption by developing separate models for daily maximum and daily minimum consumption and analyzing their differences. Finally, the set of determinants are ranked by their impact on electricity consumption, using a stepwise regression model. This approach is then applied on a large data set of smart meter data and household information as a case example. The results of the models show that weather, location, floor area, and number of refrigerators are the most significant determinants of daily minimum (or idle) electricity consumption in residential buildings,

Amir Kavousian; Ram Rajagopal; Martin Fischer; Amir Kavousian; Ram Rajagopal; Martin Fischer

2012-01-01T23:59:59.000Z

273

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

E-Print Network (OSTI)

console usage and national energy consumption: Results fromNational Energy Consumption .Discussion National Energy Consumption Under the assumption

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

274

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

E-Print Network (OSTI)

commercial). National Energy Consumption Estimates We usedsection entitled “National Energy Consumption Estimates”).section entitled “National Energy Consumption Estimates”).

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

275

Study on optimal train movement for minimum energy consumption.  

E-Print Network (OSTI)

?? The presented thesis project is a study on train energy consumption calculation and optimal train driving strategies for minimum energy consumption. This study is… (more)

Gkortzas, Panagiotis

2013-01-01T23:59:59.000Z

276

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...

277

EIA Data: Total International Primary Energy Consumption

This...  

Open Energy Info (EERE)

EIA Data: Total International Primary Energy Consumption

This table lists total primary energy consumption by country and region in Quadrillion Btu.  Figures in this table...

278

Residential Energy Consumption for Water Heating (2005) Provides...  

Open Energy Info (EERE)

Residential Energy Consumption for Water Heating (2005) Provides total and average annual residential energy consumption for water heating in U.S. households in 2005, measured in...

279

California Energy Commission - Natural Gas Consumption by Utility  

Open Energy Info (EERE)

California Energy Commission - Natural Gas Consumption by Utility (1990-2009) California Energy Commission natural gas consumption data by Utility company for Commercial,...

280

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

Note: This page contains sample records for the topic "reduce energy 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

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,Residential Energy Consumption Survey, Human and Socialfor Residential Energy Consumption in China Nan Zhou,

Zhou, Nan

2010-01-01T23:59:59.000Z

282

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

283

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

284

Figure 1.6 State-Level Energy Consumption Estimates and Estimated ...  

U.S. Energy Information Administration (EIA)

Figure 1.6 State-Level Energy Consumption Estimates and Estimated Consumption per Capita, 2010 Consumption Consumption per Capita

285

Active improvement of air-conditioning system energy consumption with adaptive thermal comfort approach.  

E-Print Network (OSTI)

??The MSc research project aims to suggest improvements to building air-conditioning control systems, to reduce energy consumption while maintaining the comfort level of the occupants.… (more)

Muhammad Saleh, Muhammad Fadzli

2013-01-01T23:59:59.000Z

286

Use of nanofiltration to reduce cooling tower water consumption.  

Science Conference Proceedings (OSTI)

Nanofiltration (NF) can effectively treat cooling-tower water to reduce water consumption and maximize water usage efficiency of thermoelectric power plants. A pilot is being run to verify theoretical calculations. A side stream of water from a 900 gpm cooling tower is being treated by NF with the permeate returning to the cooling tower and the concentrate being discharged. The membrane efficiency is as high as over 50%. Salt rejection ranges from 77-97% with higher rejection for divalent ions. The pilot has demonstrated a reduction of makeup water of almost 20% and a reduction of discharge of over 50%.

Altman, Susan Jeanne; Ciferno, Jared

2010-10-01T23:59:59.000Z

287

Performance Evaluation of Energy Consumption in MANETs  

E-Print Network (OSTI)

The mobility of nodes in MANET may result in dynamic topology with high rate of link breakage and network partitions leading to interruption in communication and packet loss. Many routing protocols have been proposed in the literature with different characteristics and properties. The routing protocols suffer from various overheads causing energy loss which is further aggravated by link breaks. The present work concentrate on the energy consumption issues of routing protocols. We have evaluated the performance of DSDV, DSR and AODV routing protocols with respect to energy consumption indicating their usage of node’s energy.

Ashish Kumar; M. Q. Rafiq; Kamal Bansal

2012-01-01T23:59:59.000Z

288

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

289

Energy Consumption of Die Casting Operations  

SciTech Connect

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

290

Reduced Nitrogen and Natural Gas Consumption at Deepwell Flare  

E-Print Network (OSTI)

Facing both an economic downturn and the liklihood of steep natural gas price increases, company plants were challenged to identify and quickly implement energy saving projects that would reduce natural gas usage. Unit operating personnel and engineers w

Williams, C.

2004-01-01T23:59:59.000Z

291

Understanding goal setting behavior in the context of energy consumption reduction  

Science Conference Proceedings (OSTI)

Home energy use represents a significant proportion of total consumption. A growing research area is considering how to help everyday users consume less. However, simply determining how to best reduce consumption remains a challenging task for many users. ... Keywords: energy consumption, goal-setting, motivation, sustainability

Michelle Scott; Mary Barreto; Filipe Quintal; Ian Oakley

2011-09-01T23:59:59.000Z

292

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

by Year Constructed for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

293

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

by Building Size for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

294

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

295

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

296

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

297

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Census Division for All Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

298

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Buildings, 2003 Electricity Consumption Electricity Expenditures per Building (thousand kWh) per Square Foot (kWh) Distribution of Building-Level Intensities (kWhsquare foot)...

299

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

300

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

Note: This page contains sample records for the topic "reduce energy 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

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

302

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 ›

303

Federal Energy Management Program: Data Center Energy Consumption Trends  

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

Consumption Trends Consumption Trends Data centers can consume up to 100 times more energy than a standard office building. Often, less than 15% of original source energy is used for the information technology equipment within a data center. Figure 1 outlines typical data center energy consumption ratios. An illustration that features a graphic of a coal container representing 100 units of coal. This enters a graphic of a power plant, where those 100 units of coal are turned into 35 units of energy. The 35 units of energy are distributed by power lines, represented by a graphic of power lines, where 33 units are delivered to a pie chart representing data typical data center energy end use. The data center pie chart features 48% representing server load and computing operation consumption; 43% representing cooling equipment consumption; and 9% representing power conversion and distribution consumption.

304

San Francisco residential energy consumption. Final report  

SciTech Connect

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

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

1976-12-01T23:59:59.000Z

305

RESULTS FROM THE U.S. DOE 2006 SAVE ENERGY NOW ASSESSMENT INITIATIVE: DOE's Partnership with U.S. Industry to Reduce Energy Consumption, Energy Costs, and Carbon Dioxide Emissions  

Science Conference Proceedings (OSTI)

In the wake of Hurricane Katrina and other severe storms in 2005, natural gas supplies were restricted, prices rose, and industry sought ways to reduce its natural gas use and costs. In October 2005, U.S. Department of Energy (DOE) Energy Secretary Bodman launched his Easy Ways to Save Energy campaign with a promise to provide energy assessments to 200 of the largest U.S. manufacturing plants. A major thrust of the campaign was to ensure that the nation's natural gas supplies would be adequate for all Americans, especially during home heating seasons. In a presentation to the National Press Club on October 3, 2005, Secretary Bodman said: 'America's businesses, factories, and manufacturing facilities use massive amounts of energy. To help them during this period of tightening supply and rising costs, our Department is sending teams of qualified efficiency experts to 200 of the nation's most energy-intensive factories. Our Energy Saving Teams will work with on-site managers on ways to conserve energy and use it more efficiently.' DOE's Industrial Technologies Program (ITP) responded to the Secretary's campaign with its Save Energy Now initiative, featuring a new and highly cost-effective form of energy assessments. The approach for these assessments drew heavily on the existing resources of ITP's Technology Delivery component. Over the years, ITP-Technology Delivery had worked with industry partners to assemble a suite of respected software decision tools, proven assessment protocols, training curricula, certified experts, and strong partnerships for deployment. Because of the program's earlier activities and the resources that had been developed, ITP was prepared to respond swiftly and effectively to the sudden need to promote improved industrial energy efficiency. Because of anticipated supply issues in the natural gas sector, the Save Energy Now initiative strategically focused on natural gas savings and targeted the nation's largest manufacturing plants--those that consume a total of 1 trillion British thermal units (Btu) or more annually. The approximately 6800 U.S. facilities that fall into this category collectively account for about 53% of all energy consumed by industry in the United States. The 2006 Save Energy Now energy assessments departed from earlier DOE plant assessments by concentrating solely on steam and process heating systems, which are estimated to account for approximately 74% of all natural gas use for manufacturing. The assessments also integrated a strong training component designed to teach industrial plant personnel how to use DOE's steam or process heating opportunity assessment software tools. This approach had the advantages of promoting strong buy-in of plant personnel for the assessment and its outcomes and preparing them better to independently replicate the assessment process at the company's other facilities. The Save Energy Now initiative also included provisions to help plants that applied for but did not qualify for assessments (based on the 1 trillion Btu criterion). Services offered to these plants included (1) an assessment by one of DOE's 26 university-based Industrial Assessment Centers (IACs), (2) a telephone consultation with a systems expert at the DOE's Energy Efficiency and Renewable Energy Information Center, or (3) other technical materials and services available through ITP (e.g., the Save Energy Now CD). By the end of 2006, DOE had completed all 200 of the promised assessments, identifying potential natural gas savings of more than 50 trillion Btu and energy cost savings of about $500 million. These savings, if fully implemented, could reduce CO2 emissions by 4.04 million metric tons annually. These results, along with the fact that a large percentage of U.S. energy is used by a relatively small number of very large plants, clearly suggest that assessments are an expedient and cost-effective way to significantly affect large amounts of energy use. Building on the success of the 2006 initiative, ITP has expanded the effort in 2007 with the goal of conducting 250 more asse

Wright, Anthony L [ORNL; Martin, Michaela A [ORNL; Gemmer, Bob [U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy; Scheihing, Paul [U.S. Department of Energy, Industrial Technologies Program; Quinn, James [U.S. Department of Energy

2007-09-01T23:59:59.000Z

306

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

Science Conference Proceedings (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

307

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

SciTech Connect

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

308

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

U.S. Energy Information Administration (EIA)

A-Z Index A B C D E F G H I J K L M ... Manufacturing energy consumption data show large reductions in both manufacturing energy use and the energy intensity of ...

309

Consumption  

E-Print Network (OSTI)

www.eia.gov Annual Energy Outlook 2013 projections to 2040 • Growth in energy production outstrips consumption growth • Crude oil production rises sharply over the next decade • Motor gasoline consumption reflects more stringent fuel economy standards • The U.S. becomes a net exporter of natural gas in the early 2020s • U.S. energy-related carbon dioxide emissions remain below their 2005 level through 2040

Adam Sieminski Administrator; Adam Sieminski; Adam Sieminski; Adam Sieminski; Adam Sieminski

2013-01-01T23:59:59.000Z

310

Household energy consumption and expenditures 1987  

SciTech Connect

This report is the third in the series of reports presenting data from the 1987 Residential Energy Consumption Survey (RECS). The 1987 RECS, seventh in a series of national surveys of households and their energy suppliers, provides baseline information on household energy use in the United States. Data from the seven RECS and its companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are made available to the public in published reports such as this one, and on public use data files. This report presents data for the four Census regions and nine Census divisions on the consumption of and expenditures for electricity, natural gas, fuel oil and kerosene (as a single category), and liquefied petroleum gas (LPG). Data are also presented on consumption of wood at the Census region level. The emphasis in this report is on graphic depiction of the data. Data from previous RECS surveys are provided in the graphics, which indicate the regional trends in consumption, expenditures, and uses of energy. These graphs present data for the United States and each Census division. 12 figs., 71 tabs.

Not Available

1990-01-22T23:59:59.000Z

311

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

U.S. Energy Information Administration (EIA)

Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency. Energy use in homes, commercial buildings, ...

312

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

U.S. Energy Information Administration (EIA)

Cost of Natural Gas Used in Manufacturing Sector ... Early-release estimates from the 2010 MECS show that energy consumption in the manufacturing sector decreased ...

313

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

U.S. Energy Information Administration (EIA)

Early-release estimates from the 2010 MECS show that energy consumption in the manufacturing sector decreased between 2006 and 2010. Release Date: March 28, 2012.

314

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

U.S. Energy Information Administration (EIA)

Early-release estimates from the 2010 MECS show that energy consumption in the manufacturing sector decreased between 2006 and 2010. Release Date: ...

315

Manufacturing Consumption of Energy 1991  

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

at the extent to which manufacturers exercised their ability to choose the mix of energy sources at their discretion. Nonswitchable Minimum Requirements Generally, a...

316

Manufacturing Consumption of Energy 1991  

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

establishments within a stratum would also be homogeneous with respect to the quantities, types, and shares of energy consumed as fuels and for nonfuel purposes. Also, the weight...

317

Manufacturing Consumption of Energy 1991  

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

with Other Series Appendix D Comparability of MECS Estimates with Other Series The Energy Information Administration (EIA) collects data from two distinct sources that, in...

318

State Energy Data System Consumption Estimates Technical Notes  

U.S. Energy Information Administration (EIA)

as street lighting and public services; and the Manufacturing Energy Consumption Survey covers only manufacturing establishments,

319

Renewable energy consumption and economic efficiency: Evidence from European countries  

Science Conference Proceedings (OSTI)

This paper examines the relationship between renewable energy consumption and economic efficiency. For this reason

2013-01-01T23:59:59.000Z

320

Minimizing energy consumption for handheld computers in Moby Dick  

E-Print Network (OSTI)

In this report we propose a number of techniques to reduce energy consumption for mobile computers. We use extra dedicated low-power modules to cut on processor cycles of the main CPU, i.e. hardware and software decomposition. These modules are autonomous and can be powered down individually. Furthermore, as networking consumes a large part of a mobile system's battery resources much effort is put in reducing energy consumption in this part. We use intelligent network interfaces with a power aware network protocol, and a MAC protocol that minimizes the `on-time' of network interfaces to reduce energy. There is a direct link between QoS and energy consumption. Therefore we move power management into the QoS domain. 1 Introduction Portable and hand-held computers must be careful not to waste the scarce energy resources in their batteries. Even though battery technology is improving continuously and processors and displays are rapidly improving in terms of power consumption, battery lif...

Paul J.M. Havinga; Gerard J. M. Smit

1997-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "reduce energy 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

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 measure and analyze the impact of distributed programming abstractions on application energy consumption future efforts in creating energy efficient distributed programming abstractions. Keywords: energy

Ryder, Barbara G.

322

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

Gasoline and Diesel Fuel Update (EIA)

Share of energy used by appliances and consumer electronics increases in Share of energy used by appliances and consumer electronics increases in U.S. homes RECS 2009 - Release date: March 28, 2011 Over the past three decades, the share of residential electricity used by appliances and electronics in U.S. homes has nearly doubled from 17 percent to 31 percent, growing from 1.77 quadrillion Btu (quads) to 3.25 quads. This rise has occurred while Federal energy efficiency standards were enacted on every major appliance, overall household energy consumption actually decreased from 10.58 quads to 10.55 quads, and energy use per household fell 31 percent. Federal energy efficiency standards have greatly reduced consumption for home heating Total energy use in all U.S. homes occupied as primary residences decreased slightly from 10.58 quads in 1978 to 10.55 quads in 2005 as reported by the

323

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

U.S. Energy Information Administration (EIA)

Energy use in homes, commercial buildings, manufacturing, and transportation. Coal. ... New 2010 Manufacturing Energy Consumption Survey (MECS) ...

324

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

325

Table 37. Light-Duty Vehicle Energy Consumption by Technology ...  

U.S. Energy Information Administration (EIA)

Table 37. Light-Duty Vehicle Energy Consumption by Technology Type and Fuel Type (trillion Btu) Light-Duty Consumption by Technology Type Conventional Vehicles 1/

326

Measuring energy consumption of a database cluster  

E-Print Network (OSTI)

Abstract: Energy consumption of database servers is a growing concern for companies as it is a critical part of a data center’s cost. To address the rising cost and the waste of energy, a new paradigm called GreenIT arose. Hardware and software developers are aiming at more energy-efficient systems. To improve the energy footprint of database servers, we developed a cluster of small-scale nodes, that can be dynamically powered dependent on the workload. This demo shows the measurement framework we set up to measure hardware components as well as an entire cluster of nodes. We’ll exhibit the measurement devices for components and servers and show the system’s behavior under varying workloads. Attendees will be able to adjust workloads and experience their impact on energy consumption. 1

Volker Hudlet; Daniel Schall; Ag Dbis; Tu Kaiserslautern

2011-01-01T23:59:59.000Z

327

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

328

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

329

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

330

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

331

Minneapolis residential energy consumption. Final report  

SciTech Connect

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

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

1976-11-01T23:59:59.000Z

332

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

333

Table 1.5 Energy Consumption, Expenditures, and Emissions ...  

U.S. Energy Information Administration (EIA)

Consumption per Capita: Energy Expenditures 1: Energy ... 2009. 94,559,407 [R] 308 : 1,061,220 [R] ... 2 Carbon dioxide emissions from energy consumption. See Table 11.1.

334

Energy Information Administration/Household Vehicles Energy Consumption 1994  

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

, , Energy Information Administration/Household Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related characteristics of highway vehicles available for personal use by members of U.S. households. The data were collected in the 1994 Residential Transportation Energy Consumption Survey, the final cycle in a series of nationwide energy consumption surveys conducted during the 1980's and 1990's by the Energy Information Administrations. Engines Became More Powerful . . . Percent Distribution of Total Residential Vehicle Fleet by Number of Cylinders, 1988 and 1994 Percent Distribution of Vehicle Fleet by Engine Size, 1988 and 1994 Percent Percent 4 cyl Less than 2.50 liters 6 cyl 2.50- 4.49 liters 8 cyl 4.50 liters or greater 20 20 40 40 Vehicle

335

Energy consumption in the pipeline industry  

SciTech Connect

Estimates are developed of the energy consumption and energy intensity (EI) of five categories of U.S. pipeline industries: natural gas, crude oil, petroleum products, coal slurry, and water. For comparability with other transportation modes, it is desirable to calculate EI in Btu/Ton-Mile, and this is done, although the necessary unit conversions introduce additional uncertainties. Since water and sewer lines operate by lift and gravity, a comparable EI is not definable.

Banks, W. F.

1977-12-31T23:59:59.000Z

336

Modelling of Turkey's net energy consumption using artificial neural network  

Science Conference Proceedings (OSTI)

The main goal of this study is to develop the equations for forecasting net energy consumption (NEC) using artificial neural network (ANN) technique in order to determine the future level of the energy consumption in Turkey. Two different models ... Keywords: Turkey, artificial neural networks, energy forecasting, energy sources, estimation, gross generation, net energy consumption

Adnan Sozen; Erol Arcaklioglu; Mehmet Ozkaymak

2005-04-01T23:59:59.000Z

337

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

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

1 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive 1 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 1 (Estimates in Btu or Physical Units) XLS Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 2 (Estimates in Trillion Btu) XLS Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel Oil for Selected Purposes by Census Region, Industry Group, and Selected Industries, 1991 (Estimates in Barrels per Day) XLS Total Primary Consumption of Energy for All Purposes by Census Region and Economic Characteristics of the Establishment, 1991 (Estimates in Btu or Physical Units) XLS

338

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

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... solar, wind, geothermal, ... particularly for space heating, ...

339

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

Gasoline and Diesel Fuel Update (EIA)

The impact of increasing home size on energy demand The impact of increasing home size on energy demand RECS 2009 - Release date: April 19, 2012 Homes built since 1990 are on average 27% larger than homes built in earlier decades, a significant trend because most energy end-uses are correlated with the size of the home. As square footage increases, the burden on heating and cooling equipment rises, lighting requirements increase, and the likelihood that the household uses more than one refrigerator increases. Square footage typically stays fixed over the life of a home and it is a characteristic that is expensive, even impractical to alter to reduce energy consumption. According to results from EIA's 2009 Residential Energy Consumption Survey (RECS), the stock of homes built in the 1970s and 1980s averages less than

340

Data Center Energy Consumption Trends | Department of Energy  

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

Program Areas » Data Center Energy Efficiency » Data Center Program Areas » Data Center Energy Efficiency » Data Center Energy Consumption Trends Data Center Energy Consumption Trends October 8, 2013 - 10:09am Addthis Data centers can consume up to 100 times more energy than a standard office building. Often, less than 15% of original source energy is used for the information technology equipment within a data center. Figure 1 outlines typical data center energy consumption ratios. An illustration that features a graphic of a coal container representing 100 units of coal. This enters a graphic of a power plant, where those 100 units of coal are turned into 35 units of energy. The 35 units of energy are distributed by power lines, represented by a graphic of power lines, where 33 units are delivered to a pie chart representing data typical data center energy end use. The data center pie chart features 48% representing server load and computing operation consumption; 43% representing cooling equipment consumption; and 9% representing power conversion and distribution consumption.

Note: This page contains sample records for the topic "reduce energy 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

Electrical energy consumption control apparatuses and electrical energy consumption control methods  

DOE Patents (OSTI)

Electrical energy consumption control apparatuses and electrical energy consumption control methods are described. According to one aspect, an electrical energy consumption control apparatus includes processing circuitry configured to receive a signal which is indicative of current of electrical energy which is consumed by a plurality of loads at a site, to compare the signal which is indicative of current of electrical energy which is consumed by the plurality of loads at the site with a desired substantially sinusoidal waveform of current of electrical energy which is received at the site from an electrical power system, and to use the comparison to control an amount of the electrical energy which is consumed by at least one of the loads of the site.

Hammerstrom, Donald J.

2012-09-04T23:59:59.000Z

342

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

343

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

344

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

345

Energy Information Administration - Transportation Energy Consumption...  

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

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...

346

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

U.S. Energy Information Administration (EIA)

Energy use in homes, commercial buildings, ... State Energy Data System ... routinely uses feedback from customers and outside experts to help improve its programs ...

347

How much of world energy consumption and electricity ...  

U.S. Energy Information Administration (EIA)

How much of world energy consumption and electricity generation is from renewable energy? EIA estimates that about 10% of world marketed energy ...

348

Table 2.1 Energy Consumption by Sector (Trillion Btu)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review October 2013 23 Table 2.1 Energy Consumption by Sector (Trillion Btu) End-Use Sectors Electric

349

Table 2.4 Industrial Sector Energy Consumption (Trillion Btu)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review October 2013 29 Table 2.4 Industrial Sector Energy Consumption (Trillion Btu) Primary Consumptiona

350

Table US1. Total Energy Consumption, Expenditures, and Intensities ...  

U.S. Energy Information Administration (EIA)

Part 1: Housing Unit Characteristics and Energy Usage Indicators Energy Consumption 2 Energy Expenditures 2 Total U.S. (quadrillion Btu) Per Household (Dollars) Per

351

A method for evaluating transport energy consumption in suburban areas  

Science Conference Proceedings (OSTI)

Urban sprawl is a major issue for sustainable development. It represents a significant contribution to energy consumption of a territory especially due to transportation requirements. However, transport energy consumption is rarely taken into account when the sustainability of suburban structures is studied. In this context, the paper presents a method to estimate transport energy consumption in residential suburban areas. The study aimed, on this basis, at highlighting the most efficient strategies needed to promote awareness and to give practical hints on how to reduce transport energy consumption linked to urban sprawl in existing and future suburban neighborhoods. The method uses data collected by using empirical surveys and GIS. An application of this method is presented concerning the comparison of four suburban districts located in Belgium to demonstrate the advantages of the approach. The influence of several parameters, such as distance to work places and services, use of public transport and performance of the vehicles, are then discussed to allow a range of different development situations to be explored. The results of the case studies highlight that traveled distances, and thus a good mix between activities at the living area scale, are of primordial importance for the energy performance, whereas means of transport used is only of little impact. Improving the performance of the vehicles and favoring home-work give also significant energy savings. The method can be used when planning new areas or retrofitting existing ones, as well as promoting more sustainable lifestyles regarding transport habits. - Highlights: Black-Right-Pointing-Pointer The method allows to assess transport energy consumption in suburban areas and highlight the best strategies to reduce it. Black-Right-Pointing-Pointer Home-to-work travels represent the most important part of calculated transport energy consumption. Black-Right-Pointing-Pointer Energy savings can be achieved by reducing distances to travel through a good mix between activities at the local scale. Black-Right-Pointing-Pointer Means of transport used in only of little impact in the studied suburban neighborhoods. Black-Right-Pointing-Pointer Improving the performance of the vehicles and favoring home-work can significant energy savings.

Marique, Anne-Francoise, E-mail: afmarique@ulg.ac.be; Reiter, Sigrid, E-mail: Sigrid.Reiter@ulg.ac.be

2012-02-15T23:59:59.000Z

352

Towards new widgets to reduce PC power consumption  

Science Conference Proceedings (OSTI)

We present a study which describes the power consumption characteristics of a number of different interaction techniques on a desktop and laptop computer. In total, 8 interactions that can be used to carry out a single task (navigating a PDF document) ... Keywords: power consumption, widgets

Ross McLachlan; Stephen Brewster

2012-05-01T23:59:59.000Z

353

Los angeles residential energy consumption. Final report  

SciTech Connect

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

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

1976-09-01T23:59:59.000Z

354

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

355

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

356

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

0 2003 Commercial Primary Energy Consumption Intensities, by Principal Building Type Consumption Percent of Total | Consumption Percent of Total Building Type (thousand BtuSF)...

357

Renewable Energy Consumption for Electricity Generation by Energy Use  

Open Energy Info (EERE)

Electricity Generation by Energy Use Electricity Generation by Energy Use Sector and Energy Source, 2004 - 2008 Dataset Summary Description Provides annual renewable energy consumption (in quadrillion btu) for electricity generation in the United States by energy use sector (commercial, industrial and electric power) and by energy source (e.g. biomass, geothermal, etc.) This data was compiled and published by the Energy Information Administration (EIA). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords biomass Commercial Electric Power Electricity Generation geothermal Industrial PV Renewable Energy Consumption solar wind Data application/vnd.ms-excel icon 2008_RE.Consumption.for_.Elec_.Gen_EIA.Aug_.2010.xls (xls, 19.5 KiB) Quality Metrics Level of Review Some Review

358

Reducing Energy Costs  

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

Energy expense is becoming increasingly dominant in the operating costs of high-performance computing (HPC) systems. At the same time, electricity prices vary significantly at...

359

Map Data: State Consumption | Department of Energy  

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

Consumption Map Data: State Consumption stateconsumptionpc2009.csv More Documents & Publications Map Data: Renewable Production Map Data: State Spending...

360

" 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"

Note: This page contains sample records for the topic "reduce energy 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

" 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"

362

Reducing Energy Demand in Buildings Through State Energy Codes  

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

Codes Assistance Project Codes Assistance Project Maureen Guttman, AIA Executive Director, BCAP Alliance to Save Energy 202-530-2211 mguttman@ase.org Tuesday, April 2, 2013 - Thursday, April 4, 2013 Reducing Energy Demand in Buildings Through State Energy Codes - Providing Technical Support and Assistance to States - 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: Buildings = largest sector of energy consumption in America * Energy codes are a ready-made regulatory mechanism * States need support for implementation Impact of Project:

363

Reducing Energy Demand in Buildings Through State Energy Codes  

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

Codes Assistance Project Codes Assistance Project Maureen Guttman, AIA Executive Director, BCAP Alliance to Save Energy 202-530-2211 mguttman@ase.org Tuesday, April 2, 2013 - Thursday, April 4, 2013 Reducing Energy Demand in Buildings Through State Energy Codes - Providing Technical Support and Assistance to States - 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: Buildings = largest sector of energy consumption in America * Energy codes are a ready-made regulatory mechanism * States need support for implementation Impact of Project:

364

Atlanta residential energy consumption. Final report  

SciTech Connect

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

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

1976-08-01T23:59:59.000Z

365

Modeling Energy Consumption of Residential Furnaces and Boilers...  

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

Energy Consumption of Residential Furnaces and Boilers in U.S. homes Title Modeling Energy Consumption of Residential Furnaces and Boilers in U.S. homes Publication Type Report...

366

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

U.S. Energy Information Administration (EIA)

... solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium. Uranium fuel, nuclear reactors, generation, spent fuel. ... State Energy Data System ...

367

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

U.S. Energy Information Administration (EIA)

Energy consumption in the U.S. manufacturing sector fell from 21,098 trillion Btu (tBtu) in 2006 to 19,062 tBtu in 2010, a decline of almost 10 percent, ...

368

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

U.S. Energy Information Administration (EIA)

Units & Calculators ... 2012. Energy consumption in the U.S. manufacturing sector fell from 21,098 trillion Btu (tBtu) in 2006 to 19,062 tBtu in 2010, ...

369

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

U.S. Energy Information Administration (EIA)

A video about changes in home heating in the United States. Annual Energy Review Consumption Statistics. Released September 27, ...

370

Table 2.9 Commercial Buildings Consumption by Energy Source ...  

U.S. Energy Information Administration (EIA)

parking garages. Web Page: For related information, ... "Commercial Buildings Energy Consumption Survey." 6 Distillate fuel oil, residual fuel oil, ...

371

Table F28: Wind Energy Consumption Estimates, 2011  

U.S. Energy Information Administration (EIA)

Table F28: Wind Energy Consumption Estimates, 2011 State Commercial Industrial Electric Power Total Commercial Industrial Electric Power Total

372

Consumption & Efficiency - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Vehicle Energy Consumption Survey Data; ... Manufacturers or their representatives could go directly to the wellhead to purchase their natural gas, ...

373

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

U.S. Energy Information Administration (EIA)

Vehicle Energy Consumption Survey Data; ... The major users are residential and commercial buildings, industry, transportation, and electric power generators.

374

Waste-to-Energy Biomass Digester with Decreased Water Consumption  

Waste-to-Energy Biomass Digester with Decreased Water Consumption Contact Information: Jeremy Nelson Phone: 970.491.7100 Email: ...

375

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

U.S. energy-related carbon-dioxide emissions, including both direct fuel consumption (primarily natural gas)

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

376

Research on Building Energy Consumption Situation in Shanghai  

E-Print Network (OSTI)

This paper surveys the present situation of building energy consumption in Shanghai and points out the problems of insufficient energy consumption statistics based on the survey data. We analyze the relationships of energy consumption between the building and the whole society, and between the building and the air conditioning system. Eight public buildings in Shanghai have been chosen for analyzing the characteristics of energy consumption of the air conditioning system in real time.

Yang, X.; Tan, H.

2006-01-01T23:59:59.000Z

377

Chapter 2. Consumption of Fossil Fuels - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

48 U.S. Energy Information Administration/Electric Power Monthly June 2012 Chapter 2. Consumption of Fossil Fuels

378

Household energy and consumption and expenditures, 1990. Supplement, Regional  

Science Conference Proceedings (OSTI)

The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

Not Available

1993-03-02T23:59:59.000Z

379

CoNNECT: Analytics for Energy Consumption Data  

• Ability to correlate data with weather patterns • Ability to benchmark consumption with peers – ... solar energy potential on individual building ...

380

Residential Energy Consumption Survey: housing characteristics, 1982  

Science Conference Proceedings (OSTI)

Data in this report cover fuels and their use in the home, appliances, square footage of floor space, heating equipment, thermal characteristics of the housing unit, conservation activities, wood consumption, indoor temperatures, and weather. The 1982 survey included a number of questions on the reasons households make energy conservation improvements to their homes. Results of these questions are presented. Discussion also highlights data pertaining to: trends in home heating fuels, trends in conservation improvements, and characteristics of households whose energy costs are included in their rent.

Thompson, W.

1984-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "reduce energy 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

Income Growth, Energy Consumption and Carbon Emissions in China  

Science Conference Proceedings (OSTI)

The paper examines the long-run relationship between per capita income growth, energy consumption, and pollutant emissions in China during the period 1953–2004. We find that energy consumption, pollutant emissions and income are cointegrated in ... Keywords: Energy consumption, Pollutant emissions, Causality, Multivariate cointegration, China

Zhi Zhao; Jiahai Yuan

2008-11-01T23:59:59.000Z

382

Energy Consumption in Downlink MIMO Relay Systems with Multiple Users  

Science Conference Proceedings (OSTI)

This paper focuses on the energy consumption problem in the downlink MIMO relay systems with multiple users. Power consumption under the target sum capacity is used as the energy efficient performance metric. Three transmission schemes, i.e. regenerate ... Keywords: Energy Consumption, MIMO, Relay, Multiple Users

Jie Xu; Ling Qiu

2010-12-01T23:59:59.000Z

383

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

U.S. Energy Information Administration (EIA)

Features Heating and cooling no longer majority of U.S. home energy use. Release Date: March 7, 2013. For decades, space heating and cooling (space conditioning ...

384

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

U.S. Energy Information Administration (EIA)

Features Heating and cooling no longer majority of U.S. home energy use. Release Date: March 7, 2013. For decades, space heating and cooling (space ...

385

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

U.S. Energy Information Administration (EIA)

Heating and cooling no longer majority of ... 2012. Total United States ... as increased energy efficiency has offset the increase in the number and average size of ...

386

Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988  

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

Manufacturing > Derived Annual Estimates - Executive Summary Manufacturing > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988 Figure showing Derived Estimates Executive Summary This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the U.S. economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982-84 and 1986-87. For the purposes of this report, "purchased" energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the U.S. Department of Commerce Bureau of the Census's Annual Survey of Manufactures (ASM) and EIA's Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as "offsite-produced fuels." The completed annual series for 1974 to 1988 developed in this report links the ASM and MECS "offsite" series, estimating for the missing years. Estimates are provided for the manufacturing sector as a whole and at the two-digit Standard Industrial Classification (SIC) level for total energy consumption and for the consumption of individual fuels. There are no direct sources of data for the missing years (1982-1984 and 1986-1987). To derive consumption estimates, a comparison was made between the ASM, MECS, and other economic series to see whether there were any good predictors for the missing data. Various estimation schemes were analyzed to fill in the gaps in data after 1981 by trying to match known data for the 1974 to 1981 period.

387

International Energy Outlook 2000 - World Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

The IEO2000 projections indicate continued growth in world energy use, including large increases for the developing economies of Asia and South America. Energy resources are thought to be adequate to support the growth expected through 2020. The IEO2000 projections indicate continued growth in world energy use, including large increases for the developing economies of Asia and South America. Energy resources are thought to be adequate to support the growth expected through 2020. Current Trends Influencing World Energy Demand Changing world events and their effects on world energy markets shape the long-term view of trends in energy demand. Several developments in 1999—shifting short-term world oil markets, the recovery of developing Asian markets, and a faster than expected recovery in the economies of the former Soviet Union— are reflected in the projections presented in this year’s International Energy Outlook 2000 (IEO2000). In 1998, oil prices reached 20-year lows as a result of oil surpluses

388

Statistical Derivation of an Accurate Energy Consumption Model for Embedded Processors  

E-Print Network (OSTI)

The energy consumption of software is becoming an increasingly important issue in designing mobile embedded systems where batteries are used as the main power source. As a consequence, recently, a number of promising techniques have been proposed to optimize software for reduced energy consumption.

Sheayun Lee; Andreas Ermedahl; Sang Lyul Min; et a l.; Min Naehyuck Chang

2002-01-01T23:59:59.000Z

389

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

390

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

391

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

E-Print Network (OSTI)

Residential Energy Consumption Survey, Human and Socialof Residential Building Energy Consumption in China Nan ZhouResidential Building Energy Consumption in China Nan Zhou*,

Zhou, Nan

2010-01-01T23:59:59.000Z

392

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

E-Print Network (OSTI)

I. Azevedo. 2012, Electricity consumption and energy savingsMcKenney. 2007. Energy consumption by consumer electronicsK. Roth. 2011. Energy Consumption of Consumer Electronics in

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

393

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

394

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

395

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

396

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

397

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

398

PIA - Form EIA-475 A/G Residential Energy Consumption Survey...  

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

Form EIA-475 AG Residential Energy Consumption Survey PIA - Form EIA-475 AG Residential Energy Consumption Survey PIA - Form EIA-475 AG Residential Energy Consumption Survey PIA...

399

International Energy Outlook 1999 - World Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

world.gif (5615 bytes) world.gif (5615 bytes) The IEO99 projections indicate substantial growth in world energy use,including substantial increases for the developing economies of Asia and South America. Resource availability is not expected to limit the growth of energy markets. In 1998, expectations for economic growth and energy market performance in many areas of the world were dashed. The Asian economic crisis proved to be deeper and more persistent than originally anticipated, and the threat and reality of spillover effects grew through the year. Oil prices crashed. RussiaÂ’s economy collapsed. Economic and social problems intensified in energy- exporting countries and in emerging economies of Asia and South America. Deepening recession in Japan made recovery more difficult in Asia

400

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

... 2,581 51,163 5,170 8,161 2,703 1,659 196 612 Energy Management and Control System (EMCS) ... 252 15,630 1,782 2,881 954 477 31 320...

Note: This page contains sample records for the topic "reduce energy 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

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

Gasoline and Diesel Fuel Update (EIA)

About the MECS About the MECS Survey forms Maps MECS Terminology Archives Features First 2010 Data Press Release 2010 Data Brief Other End Use Surveys Commercial Buildings - CBECS Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Early-release estimates from the 2010 MECS show that energy consumption in the manufacturing sector decreased between 2006 and 2010 MECS 2006-2010 - Release date: March 28, 2012 Energy consumption in the U.S. manufacturing sector fell from 21,098 trillion Btu (tBtu) in 2006 to 19,062 tBtu in 2010, a decline of almost 10 percent, based on preliminary estimates released from the 2010 Manufacturing Energy Consumption Survey (MECS). This decline continues the downward trend in manufacturing energy use since the 1998 MECS report.

402

UN Alcohol Energy Data: Consumption by other industries and constructi...  

Open Energy Info (EERE)

other industries and construction The Energy Statistics Database contains comprehensive energy statistics on the production, trade, conversion and final consumption of primary and...

403

UN Alcohol Energy Data: Consumption by transportation industry...  

Open Energy Info (EERE)

by transportation industry The Energy Statistics Database contains comprehensive energy statistics on the production, trade, conversion and final consumption of primary and...

404

Table 2.10 Commercial Buildings Energy Consumption and Expenditure ...  

U.S. Energy Information Administration (EIA)

Table 2.10 Commercial Buildings Energy Consumption and Expenditure Indicators, Selected Years, 1979-2003: Energy Source and Year: Building Characteristics

405

EIA projects world energy consumption will increase 56% by ...  

U.S. Energy Information Administration (EIA)

EIA's recently released International Energy Outlook 2013 (IEO2013) projects that world energy consumption will grow by 56% between 2010 and 2040, ...

406

Figure 2. Energy Consumption of Vehicles, Selected Survey Years  

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

Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use > Figure 2 Figure 2. Energy Consumption of Vehicles, Selected Survey Years...

407

AEO2011: Renewable Energy Consumption by Sector and Source This...  

Open Energy Info (EERE)

Consumption by Sector and Source This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset...

408

Table 2.9 Commercial Buildings Consumption by Energy Source ...  

U.S. Energy Information Administration (EIA)

Table 2.9 Commercial Buildings Consumption by Energy Source, Selected Years, 1979-2003 (Trillion Btu) Energy Source and Year

409

An Accurate Instruction-Level Energy Consumption Model for Embedded RISC Processors  

E-Print Network (OSTI)

Energy consumption of software is becoming an increasingly important issue in designing mobile embedded systems where batteries are used as the main power source. As a consequence, recently, a number of promising techniques have been proposed to optimize software for reduced energy consumption. Such low-power software techniques require an energy consumption model that can be used to estimate or predict the energy consumed by software. We propose a technique to derive an accurate energy consumption model at the instruction level, combining an empirical method and a statistical analysis technique. The result of the proposed approach is given by a model equation that characterizes energy behavior of software based on the properties of the instructions. Experimental results show that the model equation can accurately estimate the energy consumption of random instruction sequences, with an average error of 2.5 %. Keywords Low-power systems, instruction-level energy model, regression analysis 1.

Sheayun Lee; Andreas Ermedahl; Sang Lyul Min

2001-01-01T23:59:59.000Z

410

Energy Consumption by Sector 1. Energy Overview  

U.S. Energy Information Administration (EIA)

Crude Oil and NGPLa Nuclear Electric Power Renewable Energy 51.388 52.848 54.349 2011 2012 2013 0 10 20 30 40 50 60 2.126 1.851 1.653 0.747 0.730 ...

411

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

... 261 899 1,121 2,311 8,736 9,424 112.8 102.9 119.0 Energy Management and Control System (EMCS) ... Q 350 356 429 2,573 2,835 Q 135.9 125.7...

412

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

... 512 333 488 5,836 3,065 6,282 87.7 108.8 77.8 Energy Management and Control System (EMCS) ... 197 117 178 1,834 857 2,170 107.6 136.6...

413

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

... 336 959 261 3,704 9,547 2,258 90.7 100.4 115.5 Energy Management and Control System (EMCS) ... 103 331 80 965 3,426 542 107.2 96.6 148.5...

414

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

... 2,581 51,163 81,328 60,420 12,356 1,565 6,987 Energy Management and Control System (EMCS) ... 252 15,630 27,646 20,451 3,318 241 3,636...

415

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Maintenance ... 2,581 51,163 19.8 5,170 2,003 101.1 81.3 Energy Management and Control System (EMCS) ... 252 15,630 62.0 1,782 7,068 114.0 82.4...

416

The effects of energy policies in China on energy consumption and GDP1  

E-Print Network (OSTI)

of biogas, stalks and firewood by rural residents by region, and fossil fuel energy consumption refers variable is: Biogas consumption per capita Stalks consumption per capita Firewood consumption per capita FE

Lin, C.-Y. Cynthia

417

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

418

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...

419

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).

420

UN Alcohol Energy Data: Consumption for Non-Energy Uses The Energy  

Open Energy Info (EERE)

for Non-Energy Uses The Energy Statistics Database contains comprehensive energy statistics on the production, trade, conversion and final consumption of primary and secondary;...

Note: This page contains sample records for the topic "reduce energy 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

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

C2A. Total Energy Expenditures by Major Fuel for All Buildings, 2003 C2A. Total Energy Expenditures by Major Fuel for All Buildings, 2003 All Buildings Total Energy Expenditures (million dollars) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat All Buildings ................................ 4,859 71,658 107,897 82,783 16,010 1,826 7,279 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,586 6,922 13,083 10,547 2,227 292 Q 5,001 to 10,000 .............................. 948 7,033 10,443 8,199 1,830 307 Q 10,001 to 25,000 ............................ 810 12,659 15,689 12,172 2,897 238 Q 25,001 to 50,000 ............................ 261 9,382 11,898 9,179 2,054 134 Q 50,001 to 100,000 .......................... 147 10,291 15,171 11,694 2,140 229 Q

422

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Total Energy Expenditures by Major Fuel for Non-Mall Buildings, 2003 . Total Energy Expenditures by Major Fuel for Non-Mall Buildings, 2003 All Buildings* Total Energy Expenditures (million dollars) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat All Buildings* ............................... 4,645 64,783 92,577 69,032 14,525 1,776 7,245 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,552 6,789 12,812 10,348 2,155 292 Q 5,001 to 10,000 .............................. 889 6,585 9,398 7,296 1,689 307 Q 10,001 to 25,000 ............................ 738 11,535 13,140 10,001 2,524 232 Q 25,001 to 50,000 ............................ 241 8,668 10,392 7,871 1,865 127 Q 50,001 to 100,000 .......................... 129 9,057 11,897 8,717 1,868 203 Q

423

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

424

Today in Energy - Residential Consumption & Efficiency  

Reports and Publications (EIA)

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

425

Today in Energy - Commercial Consumption & Efficiency  

Reports and Publications (EIA)

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

426

Energy consumption of personal computer workstations  

SciTech Connect

A field study directly measured the electric demand of 189 personal computer workstations for 1-week intervals, and a survey recorded the connected equipment at 1,846 workstations in six buildings. Each separate workstation component (e.g., computer, monitor, printer, modem, and other peripheral) was individually monitored to obtain detailed electric demand profiles. Other analyses included comparison of nameplate power rating with measured power consumption and the energy savings potential and cost-effectiveness of a controller that automatically turns off computer workstation equipment during inactivity. An important outcome of the work is the development of a standard workstation demand profile and a technique for estimating a whole-building demand profile. Together, these provide a method for transferring this information to utility energy analysts, design engineers, building energy modelers, and others. A life-cycle cost analysis was used to determine the cost-effectiveness of three energy conservation measures: (1) energy awareness education, (2) retrofit power controller installation, and (3) purchase of energy-efficient PCs.

Szydlowski, R.F.; Chvala, W.D. Jr.

1994-08-01T23:59:59.000Z

427

(1) Who owns energy consumption data  

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

Elster July 12, 2010 Reply to DOE Request for Information of May 11, 2010 Elster July 12, 2010 Reply to DOE Request for Information of May 11, 2010 regarding Data Privacy The DOE questions are restated followed by an answer. Please note that this matter is also related to the May 11, 2010 RFI on needs for utility communications. If data is provided to third parties there is a data processing and communications cost that depends on how many parties data is provided to and by how often data is communicated. These costs are minimized if an in-home display and/or smart thermostat are provided data directly from a smart meter. (1) Q. Who owns energy consumption data? A. Typically by state law the consumer owns the data. (2) Q. Who should be entitled to privacy protections relating to energy information? A. The consumer.

428

Vehicle emissions and energy consumption impacts of modal shifts  

E-Print Network (OSTI)

Growing concern over air quality has prompted the development of strategies to reduce vehicle emissions in these areas. Concern has also been expressed regarding the current dependency of the U,S, on foreign oil. An option for addressing these concerns is to reduce vehicle-miles travelled (VMT), High- occupancy vehicle (HOV) lanes have been cited as one alternative for achieving this goal. However, latent travel demand frequently negates some or all of the VMT savings brought about by HOV lanes, The net effects of modal shifts to HOV lanes and the subsequent latent travel demand were studied in the thesis, A methodology was developed for estimating vehicle emissions and energy consumption impacts of modal shifts from private vehicles in the freeway mainlanes to buses in an HOV lane when latent travel demand is considered. The methodology was evaluated and determined to yield reasonable results, Finally, the methodology was applied to a freeway corridor in Houston, Texas. The results of the application indicate that reductions in VMT do not necessarily cause reductions in vehicle emissions of interest even when considered, all three of the pollutants of latent travel demand is not consumption was decreased at considered. Energy consumption was decreased a virtually all levels of latent travel demand except where latent travel demand was equivalent to the mode shift.

Mallett, Vickie Lynn

1993-01-01T23:59:59.000Z

429

Visualization of United States Energy Consumption | Open Energy Information  

Open Energy Info (EERE)

Visualization of United States Energy Consumption Visualization of United States Energy Consumption Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Visualization of United States Energy Consumption Agency/Company /Organization: Energy Information Administration Sector: Energy Resource Type: Software/modeling tools User Interface: Website Website: en.openei.org/wiki/Visualization_of_United_States_Energy_Consumption Country: United States Cost: Free OpenEI Keyword(s): Community Generated UN Region: Northern America Coordinates: 37.09024°, -95.712891° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.09024,"lon":-95.712891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

430

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

E-Print Network (OSTI)

that per-capita energy consumption increases significantly wi n an increase per-capita energy consumption (Hasegawa and

2006-01-01T23:59:59.000Z

431

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

E-Print Network (OSTI)

CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Consumption . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Consumption . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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

2004-01-01T23:59:59.000Z

432

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

Kenworthy (1989a). Gasoline consumption and cities. JournalVehicle Usage and Energy Consumption Table 2 Housing Unitsvehicular energy consumption is graphed as a function of

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

433

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

E-Print Network (OSTI)

Like the Other: Residential Consumption Variability Phillipthe total annual energy consumption. The behavior patternsin total residential energy consumption per home, even when

Kelsven, Phillip

2013-01-01T23:59:59.000Z

434

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

E-Print Network (OSTI)

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

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

435

Residential energy consumption survey: housing characteristics 1984  

SciTech Connect

Data collected in the 1984 Residential Energy Consumption Survey (RECS), the sixth national survey of households and their fuel suppliers, provides baseline information on how households use energy. Households living in all types of housing units - single-family homes (including townhouses), apartments, and mobile homes - were chosen to participate. Data from the surveys are available to the public. The housing characteristics this report describes include fuels and the uses they are put to in the home; appliances; square footage of floorspace; heating (and cooling) equipment; thermal characteristics of housing structures; conservation features and measures taken; the consumption of wood; temperatures indoors; and regional weather. These data are tabulated in sets, first showing counts of households and then showing percentages. Results showed: Fewer households are changing their main heating fuel. More households are air conditioned than before. Some 50% of air-conditioned homes now use central systems. The three appliances considered essential are the refrigerator, the range, and the television set. At least 98% of US homes have at least one television set; but automatic dishwashers are still not prevalent. Few households use the budget plans tht are available from their utility companies to ease the payment burden of seasonal surges in fuel bills. The most common type of heating equipment in the United States is the natural-gas forced-air furnace. About 40% ofthose furnaces are at least 15 years old. The oldest water heaters are those that use fuel oil. The most common conservation feature in 1984 is ceiling or attic insulation - 80% of homes report having this item. Relatively few households claimed tax credits in 1984 for energy-conservation improvements.

Not Available

1986-10-08T23:59:59.000Z

436

Strategies to Reduce Water Consumption in SO2 Controls  

Science Conference Proceedings (OSTI)

As the need for more stringent controls for power plant emissions increases, so does the need for more cost-effective approaches to reducing these pollutants. Current methods employ technologies designed to reduce specific pollutants, which require combinations of different emission control systems to remove multiple pollutants and require significant process water. Some air pollution control suppliers and utilities are developing technologies that have potential to reduce multiple pollutants simultaneou...

2008-12-17T23:59:59.000Z

437

Design of an energy consumption scheduler based on genetic algorithms in the smart grid  

Science Conference Proceedings (OSTI)

This paper designs an energy consumption scheduler capable of reducing peak power load in smart places based on genetic algorithms and measures its performance. The proposed scheme follows the task model consisting of actuation time, operation length, ... Keywords: combinatory index, genetic algorithm, peak load reduction, power consumption scheduler, smart grid

Junghoon Lee; Gyung-Leen Park; Ho-Young Kwak; Hongbeom Jeon

2011-09-01T23:59:59.000Z

438

Trends in Commercial Buildings--Trends in Energy Consumption and Energy  

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

Energy Consumption and Energy Sources - Part 1 Energy Consumption and Energy Sources - Part 1 Part 2. Energy Intensity Data Tables Total Energy Consumption Consumption by Energy Source Background: Site and Primary Energy Trends in Energy Consumption and Energy Sources Part 1. Energy Consumption The CBECS collects energy consumption statistics from energy suppliers for four major energy sources—electricity, natural gas, fuel oil, and district heat—and collects information from the sampled buildings on the use of the four major sources and other energy sources (e.g., district chilled water, solar, wood). Energy consumed in commercial buildings is a significant fraction of that consumed in all end-use sectors. In 2000, about 17 percent of total energy was consumed in the commercial sector. Total Energy Consumption

439

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 alone is not a complete measure of the amount of service a facility provides. The energy consumption of a service institution, such as a university, could be evaluated according to its annual level of service. However, the variety of services delivered by an institution of higher education cannot be measured by a single, readily available number. Data Envelopment Analysis, a tool used primarily in management science, can find "benchmark" input consumption levels for productive entities with multiple inputs and outputs. It finds a consumption target for each form of energy consumed by an institution, based on the actual performance of comparable institutions. This method is applicable to the energy consumption of Texas state institutions of higher education.

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

1998-01-01T23:59:59.000Z

440

DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption  

Gasoline and Diesel Fuel Update (EIA)

sample custom-designed to meet the analytic objectives for surveys of residential energy use; sample as many as 5,500 households; provide 2-day personal training sessions...

Note: This page contains sample records for the topic "reduce energy 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

Household Vehicles Energy Consumption 1994 - Appendix C  

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

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 undercoverage of the vehicle stock in the residential sector. The second section discusses the effects of using July 1994 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 1994 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

442

Reducing Energy Usage in Extractive Distillation  

E-Print Network (OSTI)

Butadiene 1:3 is separated from other C4-hydrocarbons by extractive distillation in a sieve plate tower. Prior to the development work to be described, the pressure in the extraction tower was controlled at a fixed value. The tower pressure-boilup control loop did not behave satisfactorily in the presence of non-condensables which entered with the feed. The capacity of the flooded reflux drum condenser for the tower was limiting production during summer months. The tower pressure control loop was put on manual. The pressure was allowed to drop to its lowest attainable value for the existing conditions of boilup and condenser cooling capability. This manner of operation is known as floating pressure control. By taking advantage of the higher relative volatility at the lower tower pressure, energy usage was reduced and there was an increase in production capacity. The tower operation at a lower temperature reduced tower and reboiler fouling. Substantial savings have resulted from these improvements. The annual energy consumption has been reduced by 25% and maximum productive capacity is higher by 15%. The rate of tower and reboiler fouling has not been fully quantified but is greatly reduced. A more stable tower operation has also contributed to higher productivity and reduced energy usage. Venting of non-condensables does not affect tower stability and the operators have adapted well to the new control strategy.

Saxena, A. C.; Bhandari, V. A.

1985-05-01T23:59:59.000Z

443

Analysis of federal incentives used to stimulate energy consumption  

SciTech Connect

Conclusions of an analysis which identifies and quantifies Federal incentives that have increased the consumption of coal, oil, natural gas, and electricity are summarized. Data on estimated cost of incentives used to stimulate energy consumption by incentive type and energy source are tabulated for coal, oil, gas, and electricity. It is suggested that the examination of past incentives can be useful in developing guidelines and limits for the use of incentives to stimulate consumption of solar energy. (MCW)

Cole, R.J.; Cone, B.W.; Emery, J.C.; Huelshoff, M.; Lenerz, D.E.; Marcus, A.; Morris, F.A.; Sheppard, W.J.; Sommers, P.

1981-04-01T23:59:59.000Z

444

An Exploratory study on energy consumption of Energy Star and non-Energy Star homes.  

E-Print Network (OSTI)

??The reduction of energy consumption is one of the economic necessities in the United States due to depleting energy sources in the world. The construction… (more)

Kulkarni, Prajakta

2010-01-01T23:59:59.000Z

445

Understanding the Energy Consumption of Dynamic Random Access Memories  

Science Conference Proceedings (OSTI)

Energy consumption has become a major constraint on the capabilities of computer systems. In large systems the energy consumed by Dynamic Random Access Memories (DRAM) is a significant part of the total energy consumption. It is possible to calculate ... Keywords: DRAM, power

Thomas Vogelsang

2010-12-01T23:59:59.000Z

446

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

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

10 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive 10 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Table 1.1 By Mfg. Industry & Region (physical units) XLS PDF Table 1.2 By Mfg. Industry & Region (trillion Btu) XLS PDF Table 1.3 By Value of Shipments & Employment Size Category & Region XLS PDF Table 1.5 By Further Classification of "Other" Energy Sources XLS PDF Energy Used as a Nonfuel (Feedstock) Table 2.1 By Mfg. Industry & Region (physical units) XLS PDF Table 2.2 By Mfg. Industry & Region (trillion Btu) XLS PDF Table 2.3 By Value of Shipments & Employment Size Category XLS PDF Energy Consumption as a Fuel Table 3.1 By Mfg. Industry & Region (physical units) XLS PDF

447

Table 2.10 Commercial Buildings Energy Consumption and Expenditure ...  

U.S. Energy Information Administration (EIA)

parking garages. Note: Data are estimates. Statistics for individual fuels are for all buildings using each fuel. ... "Nonresidential Buildings Energy Consumption

448

EIA publishes state fact sheets on residential energy consumption ...  

U.S. Energy Information Administration (EIA)

EIA has recently published state fact sheets highlighting interesting aspects of residential energy consumption and housing characteristics based on data released ...

449

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

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and ... 2010 MECS Survey Data 2010 | 2006 ... Table 5.7 By Region with Total Consumption of Electricity (physical ...

450

"Table 17. Total Delivered Residential Energy Consumption, Projected...  

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

Total Delivered Residential Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,...

451

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

U.S. Energy Information Administration (EIA)

Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency. Energy use in homes, commercial buildings, ...

452

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

U.S. Energy Information Administration (EIA)

Cost of Natural Gas Used in Manufacturing Sector Has Fallen. ... Annual state-level estimates of consumption for hydroelectric power, wind, geothermal, and solar energy.

453

Table 1.5 Energy Consumption, Expenditures, and Emissions ...  

U.S. Energy Information Administration (EIA)

1 Expenditures include taxes where data are available. 5 In chained (2005) dollars. See "Chained Dollars" in Glossary. 2 Carbon dioxide emissions from energy consumption.

454

Table E1. Estimated Primary Energy Consumption in the United ...  

U.S. Energy Information Administration (EIA)

Table E1. Estimated Primary Energy Consumption in the United States, Selected Years, 1635-1945 (Quadrillion Btu) Year: Fossil Fuels

455

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

U.S. Energy Information Administration (EIA)

Vehicle Energy Consumption Survey Data; ... That increase in supply has in turn lowered the price of natural gas to manufacturers as well as other consumers.

456

Waste-to-Energy Biomass Digester with Decreased Water Consumption  

Waste-to-Energy Biomass Digester with Decreased Water Consumption ... Able to digest multiple types of waste, including bovine, equine, and poultry manure

457

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

U.S. Energy Information Administration (EIA)

2002 Manufacturing Energy Consumption Survey Methodology and ... where Op,MECS is the MECS estimate of the amount of petroleum product p produced offsite and ...

458

Does EIA have projections for energy production, consumption ...  

U.S. Energy Information Administration (EIA)

Does EIA have projections for energy production, consumption, and prices for individual states? No, EIA does not make projections for individual ...

459

On Minimizing the Energy Consumption of an Electrical Vehicle  

E-Print Network (OSTI)

Apr 20, 2011 ... The problem that we focus on, is the minimization of the energy consumption of an electrical vehicle achievable on a given driving cycle.

460

Figure 64. Industrial energy consumption by fuel, 2011, 2025, and ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 64. Industrial energy consumption by fuel, 2011, 2025, and 2040 (quadrillion Btu) Natural Gas Petroleum and other liquids

Note: This page contains sample records for the topic "reduce energy 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

Figure 63. Industrial delivered energy consumption by application ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 63. Industrial delivered energy consumption by application, 2011-2040 (quadrillion Btu) Manufacturing heat and power Nonmanufacturing heat ...

462

Does EIA have projections for energy production, consumption ...  

U.S. Energy Information Administration (EIA)

Does EIA have gasoline prices by city, county, or zip code? Does EIA have projections for energy production, consumption, and prices for individual states?

463

Table 10.1 Renewable Energy Production and Consumption by ...  

U.S. Energy Information Administration (EIA)

1 Production equals consumption for all renewable energy sources except biofuels. 9 Wood and wood-derived fuels. 2 Total biomass inputs to the ...

464

Solar Adoption and Energy Consumption in the Residential Sector.  

E-Print Network (OSTI)

??This dissertation analyzes the energy consumption behavior of residential adopters of solar photovoltaic systems (solar-PV). Based on large data sets from the San Diego region… (more)

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

465

Figure 57. Change in residential delivered energy consumption ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 57. Change in residential delivered energy consumption for selected end uses in four cases, 2011-2040 (percent) Best Available Technology

466

Does EIA have projections for energy production, consumption, and ...  

U.S. Energy Information Administration (EIA)

Does EIA have projections for energy production, consumption, and prices for individual states? No, EIA does not make projections for individual states.

467

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

U.S. Energy Information Administration (EIA)

Early-release estimates from the 2010 MECS show that energy consumption in the manufacturing sector decreased between 2006 and 2010. Release Date: ...

468

Energy consumption in commerical buildings: a comparison with BEPS budgets  

SciTech Connect

Metered energy consumption data have been collected on existing commercial buildings to help establish the proposed Building Energy Performance Standards (BEPS). The search has identified 84 buildings whose metered energy consumption is equal to or less than that proposed for their BEPS budgets and another 7 buildings whose metered consumption is less than 20% above their BEPS budgets. The methodology used to identify the buildings and to collect their metered energy consumption data are described. The data are analyzed and summarized and conclusions are drawn.

1980-09-22T23:59:59.000Z

469

2003 Commercial Buildings Energy Consumption - What is an RSE  

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

Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > 2003 Detailed Tables > What is an RSE? What is an RSE? The estimates in the...

470

1997 Residential Energy Consumption and Expenditures per Household ...  

U.S. Energy Information Administration (EIA)

Return to: Residential Home Page . Changes in the 1997 RECS: Housing Unit Type Per Household Member Per Building Increase. Residential Energy Consumption ...

471

World Energy Consumption: IEO99 vs. IEO98  

U.S. Energy Information Administration (EIA)

... world energy consumption increases by about 65 percent by ... Asia and Russia. ... to build and are often more efficient than other means of power generation.

472

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

473

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

Gasoline and Diesel Fuel Update (EIA)

‹ Consumption & Efficiency ‹ Consumption & Efficiency Commercial Buildings Energy Consumption Survey (CBECS) Glossary › FAQS › Overview Data 2003 1999 1995 1992 Previous Analysis & Projections Maps U. S. Census Regions and Divisions U. S. Climate Zones for 2003 CBECS U. S. Climate Zones for 1979-1999 CBECS How are U.S. Climate Zones defined? U. S. Census Regions and Divisions: U.S. Census Regions and Divisions Map U. S. Climate Zones for 2003 CBECS: U.S. Census Regions and Divisions Map U. S. Climate Zones for 1979-1999 CBECS: U.S. Census Regions and Divisions Map How are U.S. Climate Zones defined? The CBECS climate zones are groups of climate divisions, as defined by the National Oceanic and Atmospheric Administration (NOAA), which are regions within a state that are as climatically homogeneous as possible. Each NOAA

474

Residential Energy Consumption Survey: Housing Characteristics,  

Gasoline and Diesel Fuel Update (EIA)

tni tni Residential Energy Consumption Survey: Housing Characteristics, 1981 Energy Information Administration Washington. D.C August 1983 T86T -UJ9AO9 aiji uuojj pasenojnd uaaq (OdO) i|oii)/v\ suoijdijosqns o; Ajdde jou saop aoiiou :e|ON asBa|d 'pjBo^sod at|j noA j| 3Sj| Suiije'Lu vi3 3M1 uo ;u!Buuaj o^sn o} }i ujnja> isnoi nox 'pJBOisod iuB»jodoi! UB aABL) pjnons hoA '}s\\ BujUBUJ VI3 9L|} uo ajB noA|| 'MaiAaj jsij SUJMBUJ suouBOjiqnd |BnuuBS}j BUJ -jonpuoo Sj (vi3) uoijej^siujuupv UOIJBLUJOIUI Afijau^ agj 'uoiieinBaj iuaoiujaAOQ Aq pajmbaj sv 30HON 02-13 maoj aapao ay 05. pa^oajjp aq pus siuamnooa jo 0088-353 (303) S8SOZ "D'Q 'uoiSu-pqsBtt T rao°H 50 UOT^BOLIOJUI

475

Energy consumption of personal computer workstations  

SciTech Connect

The explosive growth of the information age has had a profound effect on the appearance of today`s office. Although the telephone still remains an important part of the information exchange and processing system within an office, other electronic devices are now considered required equipment within this environment. This office automation equipment includes facsimile machines, photocopiers, personal computers, printers, modems, and other peripherals. A recent estimate of the installed base indicated that 42 million personal computers and 7.3 million printers are in place, consuming 18.2 billion kWh/yr-and this installed base is growing (Luhn 1992). From a productivity standpoint, it can be argued that this equipment greatly improves the efficiency of those working in the office. But of primary concern to energy system designers, building managers, and electric utilities is the fact that this equipment requires electric energy. Although the impact of each incremental piece of equipment is small, installation of thousands of devices per building has resulted in office automation equipment becoming the major contributor to electric consumption and demand growth in commercial buildings. Personal computers and associated equipment are the dominant part of office automation equipment. In some cases, this electric demand growth has caused office buildings electric and cooling systems to overload.

Szydlowski, R.F.; Chvala, W.D. Jr.

1994-02-01T23:59:59.000Z

476

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

477

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

Gasoline and Diesel Fuel Update (EIA)

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 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 › Other End Use Surveys Commercial Buildings - CBECS Manufacturing - MECS Transportation About the RECS EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage

478

Persuading consumers to reduce their consumption of electricity in the home  

Science Conference Proceedings (OSTI)

Previous work has identified that providing real time feedback or interventions to consumers can persuade consumers to change behaviour and reduce domestic electricity consumption. However, little work has investigated what exactly those feedback mechanisms ...

Alan F. Smeaton, Aiden R. Doherty

2013-04-01T23:59:59.000Z

479

DOE/EIA-0555(95)/2 Energy Consumption Series Measuring Energy...  

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

2 Energy Consumption Series Measuring Energy Efficiency in the United States1 Economy: A Beginning Energy Information Administration October 1995 This publication and other Energy...

480

Low-Energy Astrophysics: Stimulating the Reduction of Energy Consumption in the Next Decade  

E-Print Network (OSTI)

In this paper we address the consumption of energy by astronomers while performing their professional duties. Although we find that astronomy uses a negligible fraction of the US energy budget, the rate at which energy is consumed by an average astronomer is similar to that of a typical high-flying businessperson. We review some of the ways in which astronomers are already acting to reduce their energy consumption. In the coming decades, all citizens will have to reduce their energy consumption to conserve fossil fuel reserves and to help avert a potentially catastrophic change in the Earth's climate. The challenges are the same for astronomers as they are for everyone: decreasing the distances we travel and investing in energy-efficient infrastructure. The high profile of astronomy in the media, and the great public interest in our field, can play a role in promoting energy-awareness to the wider population. Our specific recommendations are therefore to 1) reduce travel when possible, through efficient meeti...

Marshall, P J; Rykoff, E S; Shen, K J; Steinfadt, J D R; Fregeau, J; Chary, R-R; Sheth, K; Weiner, B; Henisey, K B; Quetin, E L; Antonucci, R; Kaplan, D; Jonsson, P; Auger, M W; Cardamone, C; Tao, T; Holz, D E; Bradac, M; Metcalfe, T S; McHugh, S; Elvis, M; Brewer, B J; Urrutia, T; Guo, F; Hovest, W; Nakajima, R; For, B -Q; Erb, D; Paneque, D

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "reduce energy 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

UK Energy Consumption by Sector | OpenEI  

Open Energy Info (EERE)

68 68 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278068 Varnish cache server UK Energy Consumption by Sector Dataset Summary Description The energy consumption data consists of five spreadsheets: "overall data tables" plus energy consumption data for each of the following sectors: transport, domestic, industrial and service. Each of the five spreadsheets contains a page of commentary and interpretation. In addition, a user guide is available as a supplement to the full set of spreadsheets to explain the technical concepts and vocabulary found within Energy Consumption in the UK (http://www.decc.gov.uk/assets/decc/Statistics/publications/ecuk/272-ecuk-user-guide.pdf). Energy Consumption in the United Kingdom is an annual publication currently published by the UK Department of Energy and Climate Change (DECC) for varying time periods, generally 1970 to 2009 (though some time periods are shorter).

482

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

U.S. Energy Information Administration (EIA)

Cost of Natural Gas Used in Manufacturing Sector Has Fallen. Release Date: ... and water consumption for hospital buildings greater than 200,000 squar ...

483

Household Vehicles Energy Consumption 1994 - PDF Tables  

U.S. Energy Information Administration (EIA)

Table 1 U.S. Number of Vehicles, Vehicle Miles, Motor Fuel Consumption and Expenditures, 1994 Table 2 U.S. per Household Vehicle Miles Traveled, Vehicle Fuel ...

484

California Energy Commission - Electricity Consumption by Utility  

Open Energy Info (EERE)

Utility (1990-2009) Electricity consumption by Utility company for Commercial, Residential, Ag & Water Pump, Streetlight, Industry, Mining & Construction and Total...

485

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

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

8 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive 8 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Values SIC RSE Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 1998; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Establishment Counts XLS XLS XLS First Use of Energy for All Purposes (Fuel and Nonfuel), 1998; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources and Shipments; Unit: Trillion Btu XLS XLS XLS First Use of Energy for All Purposes (Fuel and Nonfuel), 1998; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Physical Units or Btu XLS XLS

486

Potential nanotechnology applications for reducing freshwater consumption at coal fired power plants : an early view.  

DOE Green Energy (OSTI)

This report was funded by the U.S. Department of Energy's (DOE's) National Energy Technology Laboratory (NETL) Existing Plants Research Program, which has an energy-water research effort that focuses on water use at power plants. This study complements the overall research effort of the Existing Plants Research Program by evaluating water issues that could impact power plants. A growing challenge to the economic production of electricity from coal-fired power plants is the demand for freshwater, particularly in light of the projected trends for increasing demands and decreasing supplies of freshwater. Nanotechnology uses the unique chemical, physical, and biological properties that are associated with materials at the nanoscale to create and use materials, devices, and systems with new functions and properties. It is possible that nanotechnology may open the door to a variety of potentially interesting ways to reduce freshwater consumption at power plants. This report provides an overview of how applications of nanotechnology could potentially help reduce freshwater use at coal-fired power plants. It was developed by (1) identifying areas within a coal-fired power plant's operations where freshwater use occurs and could possibly be reduced, (2) conducting a literature review to identify potential applications of nanotechnology for facilitating such reductions, and (3) collecting additional information on potential applications from researchers and companies to clarify or expand on information obtained from the literature. Opportunities, areas, and processes for reducing freshwater use in coal-fired power plants considered in this report include the use of nontraditional waters in process and cooling water systems, carbon capture alternatives, more efficient processes for removing sulfur dioxide and nitrogen oxides, coolants that have higher thermal conductivities than water alone, energy storage options, and a variety of plant inefficiencies, which, if improved, would reduce energy use and concomitant water consumption. These inefficiencies include air heater inefficiencies, boiler corrosion, low operating temperatures, fuel inefficiencies, and older components that are subject to strain and failure. A variety of nanotechnology applications that could potentially be used to reduce the amount of freshwater consumed - either directly or indirectly - by these areas and activities was identified. These applications include membranes that use nanotechnology or contain nanomaterials for improved water purification and carbon capture; nano-based coatings and lubricants to insulate and reduce heat loss, inhibit corrosion, and improve fuel efficiency; nano-based catalysts and enzymes that improve fuel efficiency and improve sulfur removal efficiency; nanomaterials that can withstand high temperatures; nanofluids that have better heat transfer characteristics than water; nanosensors that can help identify strain and impact damage, detect and monitor water quality parameters, and measure mercury in flue gas; and batteries and capacitors that use nanotechnology to enable utility-scale storage. Most of these potential applications are in the research stage, and few have been deployed at coal-fired power plants. Moving from research to deployment in today's economic environment will be facilitated with federal support. Additional support for research development and deployment (RD&D) for some subset of these applications could lead to reductions in water consumption and could provide lessons learned that could be applied to future efforts. To take advantage of this situation, it is recommended that NETL pursue funding for further research, development, or deployment for one or more of the potential applications identified in this report.

Elcock, D. (Environmental Science Division)

2010-09-17T23:59:59.000Z

487

EIA - Annual Energy Outlook 2008 (Early Release)-Energy-Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption Annual Energy Outlook 2008 (Early Release) Energy Consumption Total primary energy consumption in the AEO2008 reference case increases at an average rate of 0.9 percent per year, from 100.0 quadrillion Btu in 2006 to 123.8 quadrillion Btu in 2030—7.4 quadrillion Btu less than in the AEO2007 reference case. In 2030, the levels of consumption projected for liquid fuels, natural gas, and coal are all lower in the AEO2008 reference case than in the AEO2007 reference case. Among the most important factors resulting in lower total energy demand in the AEO2008 reference case are lower economic growth, higher energy prices, greater use of more efficient appliances, and slower growth in energy-intensive industries. Figure 2. Delivered energy consumption by sector, 1980-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800.

488

Measuring energy consumption for short code paths using RAPL  

Science Conference Proceedings (OSTI)

Measuring the energy consumption of software components is a major building block for generating models that allow for energy-aware scheduling, accounting and budgeting. Current measurement techniques focus on coarse-grained measurements of application ... Keywords: RAPL, operating systems, power consumption

Marcus Hähnel; Björn Döbel; Marcus Völp; Hermann Härtig

2012-12-01T23:59:59.000Z

489

Comparison of Life Cycle Emissions and Energy Consumption for  

E-Print Network (OSTI)

Comparison of Life Cycle Emissions and Energy Consumption for Environmentally Adapted Metalworking to significantly influence the environmental burdens of all fluids, energy consumption was relatively constant and consumed without long-distance transportation. MWF Production Each MWF is composed of lubricant oil

Clarens, Andres

490

Laying the Foundation for a More Energy Efficient Future: Reducing Climate Change through Green Building  

E-Print Network (OSTI)

) Residential electricity use per capita has been increasing since the 1980's, and US energy consumption of energy required by the world's population by increasing efficiency and reducing energy demand (Tester et al, 2005). Figure 1 Sector Share of Total Energy Consumption, 2004 Residential 21% Commercial

Mauzerall, Denise

491

Residential Energy Consumption Survey (RECS) - Data - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Housing Characteristics; Consumption & Expenditures; Microdata; Consumption & Expenditures Tables + EXPAND ALL. Summary Statistics (revised January 2009) PDF (all tables)

492

2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions  

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

D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Bottled Gas (LPG or Propane) Usage Form What is the purpose of the Residential Energy Consumption Survey? The Residential Energy Consumption Survey (RECS) collects data on energy consumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S. have already provided information about their household, the physical characteristics of their housing unit, their energy-using equipment, and their energy suppliers. Now we are requesting the energy billing records for these households from each of their energy suppliers. After all this information has been collected, the information will be used to

493

Estimates of U.S. Biomass Energy Consumption 1992  

Reports and Publications (EIA)

This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass derived primary energy used by the U.S. economy. It presents estimates of 1991 and 1992 consumption.

Fred Mayes

1994-05-01T23:59:59.000Z

494

REDUCING ENERGY USE IN FLORIDA BUILDINGS  

E-Print Network (OSTI)

The 2007 Florida Building Code (ICC, 2008) requires building designers and architects to achieve a minimum energy efficiency rating for commercial buildings located throughout Florida. Although the Florida Building Code is strict in the minimum requirements for new construction, several aspects of building construction can be further improved through careful thought and design. This report outlines several energy saving features that can be used to ensure that new buildings meet a new target goal of 85% energy use compared to the 2007 energy code in order to achieve Governor Crist’s executive order to improve the energy code by 15%. To determine if a target goal of 85% building energy use is attainable, a computer simulation study was performed to determine the energy saving features available which are, in most cases, stricter than the current Florida Building Code. The energy savings features include improvements to building envelop, fenestration, lighting and equipment, and HVAC efficiency. The impacts of reducing outside air requirements and employing solar water heating were also investigated. The purpose of the energy saving features described in this document is intended to provide a simple, prescriptive method for reducing energy consumption using the methodology outlined in ASHRAE Standard 90.1 (ASHRAE, 2007). There are two difficulties in trying to achieve savings in non-residential structures. First, there is significant energy use caused by internal loads for people and equipment and it is difficult to use the energy code to achieve savings in this area relative to a baseline. Secondly, the ASHRAE methodology uses some of the same features that are proposed for the new building, so it may be difficult to claim savings for some strategies that will produce savings such as improved ventilation controls, reduced window area, or reduced plug loads simply because the methodology applies those features to the comparison reference building. Several measures to improve the building envelope characteristics were simulated. Simply using the selected envelope measures resulted in savings of less than 10% for all building types. However, if such measures are combined with aggressive lighting reductions and improved efficiency HVAC equipment and controls, a target savings of 15% is easily attainable.

Raustad, R.; Basarkar, M.; Vieira, R.

2008-12-01T23:59:59.000Z

495

Residential energy consumption: An analysis-of-variance study  

SciTech Connect

In this report, tests of statistical significance of five sets of variables with household energy consumption (at the point of end-use) are described. Five models, in sequence, were empirically estimated and tested for statistical significance by using the Residential Energy Consumption Survey of the US Department of Energy, Energy Information Administration. Each model incorporated additional information, embodied in a set of variables not previously specified in the energy demand system. The variable sets were generally labeled as economic variables, weather variables, household-structure variables, end-use variables, and housing-type variables. The tests of statistical significance showed each of the variable sets to be highly significant in explaining the overall variance in energy consumption. The findings imply that the contemporaneous interaction of different types of variables, and not just one exclusive set of variables, determines the level of household energy consumption.

Poyer, D.A.

1992-01-01T23:59:59.000Z

496

State energy data report: Consumption estimates, 1960--1990  

Science Conference Proceedings (OSTI)

The State Energy Data Report (SEDR) provides estimates of energy consumption by major end-use sectors developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). SEDS is a database for estimating the consumption of energy by end-use sectors (residential, commercial, industrial, and transportation) and electric utilities annually by state. The goal in maintaining SEDS is to produce historical data series of estimated end-use consumption by state, defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide state energy consumption estimates to the government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

Not Available

1992-05-15T23:59:59.000Z

497

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

residential transportation energy usage is vital for theDensity on Vehicle Usage and Energy Consumption Table 2Density on Vehicle Usage and Energy Consumption with

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

498

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

Understanding total residential transportation energy usageon Vehicle Usage and Energy Consumption total annual fuelUsage and Energy Consumption Gasoline-equivalent gallons per year total

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

499

Study of Air Infiltration Energy Consumption  

E-Print Network (OSTI)

The influence of heat recovery on the energy impact of air infiltration, and the systematic error due to the steady-state method were studied both experimentally and theoretically. Two methodologies suitable for measurement of the overall heat loss factors in full-size houses have been developed and validated. Dynamic measurements of Infiltration Heat Exchange effectiveness (IHEE), which expresses the air infiltration heat recovery as a fraction of the classical value of air infiltration energy consumption, showed that results from earlier steady-state measurements can be approximately applied to dynamic conditions when solar radiation is not present. However, this study has shown for the first time that IHEE is strongly dependent on air flow direction due to the impacts of air flow on the recovery or rejection of solar radiation energy. IHEE values greater than one and less than zero have been measured. These values are impossible in the absence of solar radiation. The results highlight the necessity of considering the air infiltration heat recovery and improving the current design methods for calculating the heating and cooling loads in buildings. The experimental and theoretical investigation show that steady-state methodology can: *be used without systematic error in the case of constant air flow *result in IHEE prediction error in a range of 1% to 8% when one-way dynamic air f1ow is present *cause significantly larger error when balanced dynamic air flow is present. The SSP (Single input and Single output data Pair) method can identify UAo of an enclosure using short term measurement data, typically a few hours long. It has overcome most of the typical problems in UA0 identification, such as errors due to thermal storage, ground heat transfer, inter-correlated multi-inputs, and solar radiation. The STAM (Short Term Average Method) has also been developed which makes it possible for the first time to determine both the UA and the solar aperture precisely under outdoor conditions from a two-day or a three-day test. These methods were developed and used to measure heat loss factors needed to determine IHEE values in this study.

Liu, Mingsheng

1992-08-01T23:59:59.000Z

500

Implementing Energy Efficiency in Wastewater to Reduce Costs  

E-Print Network (OSTI)

In the industrial world creating a quality product at minimum cost is the goal. In this environment all expenses are scrutinized, when they are part of the manufacturing process. However, even at the most conscientious facility the wastewater system is often overlooked, just plain accepted as is. At many locations facility personnel are completely unaware of utility costs but more importantly they are not aware of their energy consumption. The Wisconsin Focus on Energy Industrial Program has surveyed and assessed many municipal and industrial wastewater systems across the state, identified opportunities to save energy and assisted in implementing energy efficiency modifications without adversely impacting the quality of the treatment system or the manufacturing process. In many instances not only did the energy efficiency modification result in reduced energy consumption and costs, it also reduced maintenance and down time while improving effluent quality. Most of the opportunities that were implemented were installed while the manufacturing operations remained in operation.

Cantwell, J. C.

2008-01-01T23:59:59.000Z