Powered by Deep Web Technologies
Note: This page contains sample records for the topic "demand coal electricity" 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

High Temperatures & Electricity Demand  

E-Print Network (OSTI)

High Temperatures & Electricity Demand An Assessment of Supply Adequacy in California Trends.......................................................................................................1 HIGH TEMPERATURES AND ELECTRICITY DEMAND.....................................................................................................................7 SECTION I: HIGH TEMPERATURES AND ELECTRICITY DEMAND ..........................9 BACKGROUND

2

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

raising transportation oil demand. Growing internationalcoal by wire could reduce oil demand by stemming coal roadEastern oil production. The rapid growth of coal demand

Aden, Nathaniel

2010-01-01T23:59:59.000Z

3

U.S. Coal Supply and Demand  

Gasoline and Diesel Fuel Update (EIA)

U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand 2010 Review (entire report also available in printer-friendly format ) Previous Editions 2009 Review 2008 Review 2007 Review 2006 Review 2005 Review 2004 Review 2003 Review 2002 Review 2001 Review 2000 Review 1999 Review Data for: 2010 Released: May 2011 Next Release Date: April 2012 Table 3. Electric Power Sector Net Generation, 2009-2010 (Million Kilowatthours) New England Coal 14,378 14,244 -0.9 Hydroelectric 7,759 6,861 -11.6 Natural Gas 48,007 54,680 13.9 Nuclear 36,231 38,361 5.9 Other (1) 9,186 9,063 -1.3 Total 115,559 123,210 6.6 Middle Atlantic Coal 121,873 129,935 6.6 Hydroelectric 28,793 26,463 -8.1 Natural Gas 89,808 104,341 16.2 Nuclear 155,140 152,469 -1.7

4

U.S. Coal Supply and Demand: 2001 Review  

Gasoline and Diesel Fuel Update (EIA)

U.S. Coal Supply and Demand: 2001 Review U.S. Coal Supply and Demand: 2001 Review 1 U.S. Coal Supply and Demand: 2001 Review (Revised 5/6/2002) 1 by Fred Freme U.S. Energy Information Administration 1 This article has been revised, deleting 17.6 millions short tons of coal consumed by the manufacturers of synthetic coal from the consumption of coal by "other industrial plants." This change was made because the synthetic coal those plants produced was primarily consumed in the electric sector and reported as coal, resulting in an overstating of total coal consumption. Overview With the dawning of a new century came the beginning of a new era in the coal industry. Instead of the traditional prac- tice of only buying and selling produced coal in the United

5

Volatile coal prices reflect supply, demand uncertainties  

SciTech Connect

Coal mine owners and investors say that supply and demand are now finally in balance. But coal consumers find that both spot tonnage and new contract coal come at a much higher price.

Ryan, M.

2004-12-15T23:59:59.000Z

6

China's Coal: Demand, Constraints, and Externalities  

SciTech Connect

This study analyzes China's coal industry by focusing on four related areas. First, data are reviewed to identify the major drivers of historical and future coal demand. Second, resource constraints and transport bottlenecks are analyzed to evaluate demand and growth scenarios. The third area assesses the physical requirements of substituting coal demand growth with other primary energy forms. Finally, the study examines the carbon- and environmental implications of China's past and future coal consumption. There are three sections that address these areas by identifying particular characteristics of China's coal industry, quantifying factors driving demand, and analyzing supply scenarios: (1) reviews the range of Chinese and international estimates of remaining coal reserves and resources as well as key characteristics of China's coal industry including historical production, resource requirements, and prices; (2) quantifies the largest drivers of coal usage to produce a bottom-up reference projection of 2025 coal demand; and (3) analyzes coal supply constraints, substitution options, and environmental externalities. Finally, the last section presents conclusions on the role of coal in China's ongoing energy and economic development. China has been, is, and will continue to be a coal-powered economy. In 2007 Chinese coal production contained more energy than total Middle Eastern oil production. The rapid growth of coal demand after 2001 created supply strains and bottlenecks that raise questions about sustainability. Urbanization, heavy industrial growth, and increasing per-capita income are the primary interrelated drivers of rising coal usage. In 2007, the power sector, iron and steel, and cement production accounted for 66% of coal consumption. Power generation is becoming more efficient, but even extensive roll-out of the highest efficiency units would save only 14% of projected 2025 coal demand for the power sector. A new wedge of future coal consumption is likely to come from the burgeoning coal-liquefaction and chemicals industries. If coal to chemicals capacity reaches 70 million tonnes and coal-to-liquids capacity reaches 60 million tonnes, coal feedstock requirements would add an additional 450 million tonnes by 2025. Even with more efficient growth among these drivers, China's annual coal demand is expected to reach 3.9 to 4.3 billion tonnes by 2025. Central government support for nuclear and renewable energy has not reversed China's growing dependence on coal for primary energy. Substitution is a matter of scale: offsetting one year of recent coal demand growth of 200 million tonnes would require 107 billion cubic meters of natural gas (compared to 2007 growth of 13 BCM), 48 GW of nuclear (compared to 2007 growth of 2 GW), or 86 GW of hydropower capacity (compared to 2007 growth of 16 GW). Ongoing dependence on coal reduces China's ability to mitigate carbon dioxide emissions growth. If coal demand remains on a high growth path, carbon dioxide emissions from coal combustion alone would exceed total US energy-related carbon emissions by 2010. Within China's coal-dominated energy system, domestic transportation has emerged as the largest bottleneck for coal industry growth and is likely to remain a constraint to further expansion. China has a low proportion of high-quality reserves, but is producing its best coal first. Declining quality will further strain production and transport capacity. Furthermore, transporting coal to users has overloaded the train system and dramatically increased truck use, raising transportation oil demand. Growing international imports have helped to offset domestic transport bottlenecks. In the long term, import demand is likely to exceed 200 million tonnes by 2025, significantly impacting regional markets.

Aden, Nathaniel; Fridley, David; Zheng, Nina

2009-07-01T23:59:59.000Z

7

U.S. Coal Supply and Demand: 1997 Review  

Gasoline and Diesel Fuel Update (EIA)

Western Western Interior Appalachian Energy Information Administration/ U.S. Coal Supply and Demand: 1997 Review 1 Figure 1. Coal-Producing Regions Source: Energy Information Administration, Coal Industry Annual 1996, DOE/EIA-0584(96) (Washington, DC, November 1997). U.S. Coal Supply and Demand: 1997 Review by B.D. Hong Energy Information Administration U.S. Department of Energy Overview U.S. coal production totaled a record high of 1,088.6 million short tons in 1997, up by 2.3 percent over the 1996 production level, according to preliminary data from the Energy Information Administration (Table 1). The electric power industry (utilities and independent power producers)-the dominant coal consumer-used a record 922.0 million short tons, up by 2.8 percent over 1996. The increase in coal use for

8

U.S. Coal Supply and Demand: 2003 Review  

Gasoline and Diesel Fuel Update (EIA)

3 Review 3 Review 1 U.S. Coal Supply and Demand: 2003 Review by Fred Freme U.S. Energy Information Administration Overview U.S. coal production fell for the second year in a row in 2003, declining by 24.8 million short tons to end the year at 1,069.5 million short tons according to preliminary data from the Energy Information Administration (Table 1), down 2.3 percent from the 2002 level of 1,094.3 million short tons. (Note: All percentage change calculations are done at the short ton level.) Total U.S. coal consumption rose in 2003, with all coal-consuming sectors increasing or remaining stable for the year. Coal consumption in the electric power sector increased by 2.4 percent. However, there were only slight gains in consumption by the other sectors. U.S. coal exports rose in 2003 for the first time in

9

electricity demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago) Keywords Electricity Consumption electricity demand energy use by sector New Zealand Data application/vnd.ms-excel icon Electricity Consumption by Sector (1974 - 2009) (xls, 46.1 KiB) application/vnd.ms-excel icon Percentage of Consumers by Sector (2002 - 2009) (xls, 43.5 KiB)

10

EIA - AEO2010 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2010 with Projections to 2035 Electricity Demand Figure 69. U.S. electricity demand growth 1950-2035 Click to enlarge » Figure source and data excel logo Figure 60. Average annual U.S. retail electricity prices in three cases, 1970-2035 Click to enlarge » Figure source and data excel logo Figure 61. Electricity generation by fuel in three cases, 2008 and 2035 Click to enlarge » Figure source and data excel logo Figure 62. Electricity generation capacity additions by fuel type, 2008-2035 Click to enlarge » Figure source and data excel logo Figure 63. Levelized electricity costs for new power plants, 2020 and 2035 Click to enlarge » Figure source and data excel logo Figure 64. Electricity generating capacity at U.S. nuclear power plants in three cases, 2008, 2020, and 2035

11

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

Table 1. Economic demand response and real time pricing (Implications of Demand Response Programs in CompetitiveAdvanced Metering, and Demand Response in Electricity

Sezgen, Osman; Goldman, Charles; Krishnarao, P.

2005-01-01T23:59:59.000Z

12

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

12 2.6. International coal prices and18 International coal prices and trade In parallel with the2001, domestic Chinese coal prices moved from stable levels

Aden, Nathaniel

2010-01-01T23:59:59.000Z

13

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

19 3.4. Coking coal for iron & steels FOB export value for coking coal was relatively stables FOB export value for coking coal significantly increased

Aden, Nathaniel

2010-01-01T23:59:59.000Z

14

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

of deploying advanced coal power in the Chinese context,12 2.6. International coal prices and12 III. Chinese Coal

Aden, Nathaniel

2010-01-01T23:59:59.000Z

15

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

to have indicated economic coal reserves of at least 15tonnes of indicated economic coal reserves. Map 1: Chinaand economic assessment of deploying advanced coal power in

Aden, Nathaniel

2010-01-01T23:59:59.000Z

16

U.S. electric utility demand-side management 1995  

SciTech Connect

The US Electric Utility Demand-Side Management report is prepared by the Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternative Fuels; Energy Information Administration (EIA); US Department of Energy. The report presents comprehensive information on electric power industry demand-side management (DSM) activities in the US at the national, regional, and utility levels. The objective of the publication is to provide industry decision makers, government policy makers, analysts, and the general public with historical data that may be used in understanding DSM as it relates to the US electric power industry. The first chapter, ``Profile: US Electric Utility Demand-Side Management``, presents a general discussion of DSM, its history, current issues, and a review of key statistics for the year. Subsequent chapters present discussions and more detailed data on energy savings, peak load reductions and costs attributable to DSM. 9 figs., 24 tabs.

NONE

1997-01-01T23:59:59.000Z

17

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Figure 34. Regional electricity cost duration curves in 2010especially focus on electricity costs and grid compositionrelatively higher electricity costs. If electricity demand

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

18

Coal: evolving supply and demand in world seaborne steam coal trade. [1975 to 1985; forecasting to 1995  

SciTech Connect

This paper describes the evolution of world seaborne steam coal trade since 1975. It highlights current trends and the historic and present sources of supply and demand and discusses selected factors that may affect future world trade patterns. It concludes with a general discussion on the prospects for United States participation in the growing world markets for steam coal. Worldwide seaborne steam coal trade is linked very closely to the generation of electricity and industrial use of process heat in cement and other manufacturing plants. The main factors that influence this trade are: economic growth, electricity demand, indigenous coal production (and degree of protection from lower cost coal imports), and the delivered costs of coal relative to other substitutable fuels. It may be of interest to know how these factors have changed seaborne steam coal trade in the past twelve years. In 1970, the total world use of steam coal was about two billion short tons. International trade in steam coal was only 80 million tons or about 4% of the total. Seaborne trade accounted for about 30% of international trade, or about 25 million tons. In 1982, the latest year for which good statistics are available, total world use of steam coal was about 3.6 billion tons. Seaborne steam coal trade was 110 million tons which is about 3% of the total and 37% of the international trade. 11 figs., 2 tabs.

Yancik, J.

1986-01-01T23:59:59.000Z

19

Implications of Low Electricity Demand Growth  

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

Conference July 14, 2014 | Washington, DC Jim Diefenderfer, Director, Office of Electricity, Coal, Nuclear, & Renewables Analysis U.S. Energy Information Administration...

20

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

of natural gas, along with the coal reserve base of 326s Fossil Fuel Reserve Base, 2007 Oil Natural Gas Coal 233ensured reserves) of coal, oil and natural gas published in

Aden, Nathaniel

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

Although lignite composes 16% of Chinas coal reserves bys coal reserves are estimated to be 16% lignite by volume.reserves are classified as bituminous coal by volume, versus 29% sub-bituminous and 16% lignite.

Aden, Nathaniel

2010-01-01T23:59:59.000Z

22

U.S. Coal Supply and Demand: 2010 Year in Review - Energy Information  

Gasoline and Diesel Fuel Update (EIA)

U.S. Coal Supply and Demand: 2010 Year in Review U.S. Coal Supply and Demand: 2010 Year in Review Release Date: June 1, 2011 | Next Release Date: Periodically | full report Introduction Coal production in the United States in 2010 increased to a level of 1,085.3 million short tons according to preliminary data from the U.S. Energy Information Administration (EIA), an increase of 1.0 percent, or 10.4 million short tons above the 2009 level of 1,074.9 million short tons (Table 1). In 2010 U.S. coal consumption increased in all sectors except commercial and institutional while total coal stocks fell slightly for the year. Coal consumption in the electric power sector in 2010 was higher by 4.5 percent, while coking coal consumption increased by 37.9 percent and the other industrial sector increased by 7.1 percent. The commercial and

23

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

s 2006 total primary energy consumption, compared to 24Coal Dependence of Primary Energy Consumption, 2007coal/primary energy consumption Source: BP Statistical

Aden, Nathaniel

2010-01-01T23:59:59.000Z

24

SUMMER 2007 ELECTRICITY SUPPLY AND DEMAND OUTLOOK  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION SUMMER 2007 ELECTRICITY SUPPLY AND DEMAND OUTLOOK DRAFTSTAFFREPORT May ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION B. B assessment of the capability of the physical electricity system to provide power to meet electricity demand

25

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

Science Journals Connector (OSTI)

This article analyzes China's coal consumption changes since 1991 and proportion change of coal consumption to total energy consumption. It is argued that power, iron and steel, construction material, and chemical industries are the four major coal consumption industries, which account for 85% of total coal consumption in 2005. Considering energy consumption composition characteristics of these four industries, major coal demand determinants, potentials of future energy efficiency improvement, and structural changes, etc., this article makes a forecast of 2010s and 2020s domestic coal demand in these four industries. In addition, considering such relevant factors as our country's future economic growth rate and energy saving target, it forecasts future energy demands, using per unit GDP energy consumption method and energy elasticity coefficient method as well. Then it uses other institution's results about future primary energy demand, excluding primary coal demand, for reference, and forecasts coal demands in 2010 and 2020 indirectly. After results comparison between these two methods, it is believed that coal demands in 2010 might be 26202850 million tons and in 2020 might be 30903490 million tons, in which, coal used in power generation is still the driven force of coal demand growth.

Wang Yan; Li Jingwen

2008-01-01T23:59:59.000Z

26

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

delivered heating (district heating) (6%), and chemicalscoal growth. As district heating expands with urbanizationzone, coal use for district heating will depend on the

Aden, Nathaniel

2010-01-01T23:59:59.000Z

27

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

28

Electricity demand analysis - unconstrained vs constrained scenarios  

Science Journals Connector (OSTI)

In India, the electricity systems are chronically constrained by shortage of both capital and energy resources. These result in rationing and interruptions of supply with a severely disrupted electricity usage pattern. From this background, we try to analyse the demand patterns with and without resource constraints. Accordingly, it is necessary to model appropriately the dynamic nature of electricity demand, which cannot be captured by methods like annual load duration curves. Therefore, we use the concept - Representative Load Curves (RLCs) - to model the temporal and structural variations in demand. As a case study, the electricity system of the state of Karnataka in India is used. Four years demand data, two unconstrained and two constrained, are used and RLCs are developed using multiple discriminant analysis. It is found that these RLCs adequately model the variations in demand and bring out distinctions between unconstrained and constrained demand patterns. The demand analysis attempted here helped to study the differences in demand patterns with and without constraints, and the success of rationing measures in reducing demand levels as well as greatly disrupting the electricity usage patterns. Multifactor ANOVA analyses are performed to find out the statistical significance of the ability of logically obtained factors in explaining overall variations in demand. The results showed that the factors that are taken into consideration accounted for maximum variations in demand at very high significance levels.

P. Balachandra; V. Chandru; M.H. Bala Subrahmanya

2003-01-01T23:59:59.000Z

29

EIA - Annual Energy Outlook 2008 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2008 with Projections to 2030 Electricity Demand Figure 60. Annual electricity sales by sector, 1980-2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 61. Electricity generation by fuel, 2006 and 2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Residential and Commercial Sectors Dominate Electricity Demand Growth Total electricity sales increase by 29 percent in the AEO2008 reference case, from 3,659 billion kilowatthours in 2006 to 4,705 billion in 2030, at an average rate of 1.1 percent per year. The relatively slow growth follows the historical trend, with the growth rate slowing in each succeeding

30

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Designing Markets for Electricity, Wiley-IEEE Press. CEC (in Major Drivers in U.S. Electricity Markets, NREL/CP-620-and fuel efficiency and electricity demand assumptions used

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

31

Electric Utility Demand-Side Evaluation Methodologies  

E-Print Network (OSTI)

"::. ELECTRIC UTILITY DEMAND-SIDE EVALUATION METHODOLOGIES* Nat Treadway Public Utility Commission of Texas Austin, Texas ABSTRACT The electric. util ity industry's demand-side management programs can be analyzed ?from various points... of view using a standard benefit-cost methodology. The methodology now in use by several. electric utilities and the Public Utility Commlsslon of Texas includes measures of efficiency and equity. The nonparticipant test as a measure of equity...

Treadway, N.

32

Primary coal crushers grow to meet demand  

SciTech Connect

Mine operators look for more throughput with less fines generation in primary crushers (defined here as single role crushers and two stage crushers). The article gives advice on crusher selection and application. Some factors dictating selection include the desired product size, capacity, Hard Grove grindability index, percentage of rock to be freed and hardness of that rock. The hardness of coal probably has greatest impact on product fineness. 2 refs., 1 fig., 1 tab.

Fiscor, S.

2009-09-15T23:59:59.000Z

33

Demand Response and Electric Grid Reliability  

E-Print Network (OSTI)

Demand Response and Electric Grid Reliability Paul Wattles Senior Analyst, Market Design & Development, ERCOT CATEE Conference, Galveston October 10, 2012 2 North American Bulk Power Grids CATEE Conference October 10, 2012 ? The ERCOT... adequacy ? ?Achieving more DR participation would . . . displace some generation investments, but would achieve the same level of reliability... ? ?Achieving this ideal requires widespread demand response and market structures that enable loads...

Wattles, P.

2012-01-01T23:59:59.000Z

34

Fact #844: October 27, 2014 Electricity Generated from Coal has...  

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

4: October 27, 2014 Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown Fact 844: October 27, 2014 Electricity Generated from Coal has...

35

SNG Production from Coal: A Possible Solution to Energy Demand  

Science Journals Connector (OSTI)

Abstract In some areas of the world, natural gas demand cannot be fully satisfied either by domestic sources or foreign imports, while abundant coal resources are available. The conversion of coal to Substitute Natural Gas, SNG, by coal gasification and subsequent syngas methanation is one of the possible solutions to solve the problem. Foster Wheeler has developed a simple process for SNG production, named VESTA, utilizing catalysts from Clariant. The process concept has been proven by laboratory tests, and a demonstration unit will soon be completed. The VESTA process is very flexible and can handle syngas coming from several sources such as coal, biomass, petroleum coke and solid waste. In this paper our overview of the technology and its development status will be outlined.

Letizia Romano; Fabio Ruggeri; Robert Marx

2014-01-01T23:59:59.000Z

36

Utility Sector Impacts of Reduced Electricity Demand  

SciTech Connect

This report presents a new approach to estimating the marginal utility sector impacts associated with electricity demand reductions. The method uses publicly available data and provides results in the form of time series of impact factors. The input data are taken from the Energy Information Agency's Annual Energy Outlook (AEO) projections of how the electric system might evolve in the reference case, and in a number of side cases that incorporate different effciency and other policy assumptions. The data published with the AEO are used to define quantitative relationships between demand-side electricity reductions by end use and supply-side changes to capacity by plant type, generation by fuel type and emissions of CO2, Hg, NOx and SO2. The impact factors define the change in each of these quantities per unit reduction in site electricity demand. We find that the relative variation in these impacts by end use is small, but the time variation can be significant.

Coughlin, Katie

2014-12-01T23:59:59.000Z

37

Demand Response in U.S. Electricity Markets: Empirical Evidence  

E-Print Network (OSTI)

Reliability Corporation. Demand response data task force:Energy. Benefits of demand response in electricity marketsAssessment of demand response & advanced metering, staff

Cappers, Peter

2009-01-01T23:59:59.000Z

38

Tool Improves Electricity Demand Predictions to Make More Room...  

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

Tool Improves Electricity Demand Predictions to Make More Room for Renewables Tool Improves Electricity Demand Predictions to Make More Room for Renewables October 3, 2011 -...

39

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

E-Print Network (OSTI)

Energy Source Demand per Household Coal, Oil, Gas, Heat, Electricity Total Energy Source Demand Coal, Oil, Gas, Heat, Electricity Demography Japan

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

40

Coal ban could heat up electricity prices  

Science Journals Connector (OSTI)

Coal ban could heat up electricity prices ... The U.S. EPAs new report on the economic impact of the bill suggests it would cost households $100?140 per year by 2030. ...

Janet Pelley

2009-05-13T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

Turkey opens electricity markets as demand grows  

SciTech Connect

Turkey's growing power market has attracted investors and project developers for over a decade, yet their plans have been dashed by unexpected political or financial crises or, worse, obstructed by a lengthy bureaucratic approval process. Now, with a more transparent retail electricity market, government regulators and investors are bullish on Turkey. Is Turkey ready to turn the power on? This report closely examine Turkey's plans to create a power infrastructure capable of providing the reliable electricity supplies necessary for sustained economic growth. It was compiled with on-the-ground research and extensive interview with key industrial and political figures. Today, hard coal and lignite account for 21% of Turkey's electricity generation and gas-fired plants account for 50%. The Alfin Elbistan-B lignite-fired plant has attracted criticism for its lack of desulfurization units and ash dam facilities that have tarnished the industry's image. A 1,100 MW hard-coal fired plant using supercritical technology is under construction. 9 figs., 1 tab.

McKeigue, J.; Da Cunha, A.; Severino, D. [Global Business Reports (United States)

2009-06-15T23:59:59.000Z

42

What is a High Electric Demand Day?  

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

This presentation by T. McNevin of the New Jersey Bureau of Air Quality Planning was part of the July 2008 Webcast sponsored by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Weatherization and Intergovernmental Program Clean Energy and Air Quality Integration Initiative that was titled Role of Energy Efficiency and Renewable Energy in Improving Air Quality and Addressing Greenhouse Gas Reduction Goals on High Electric Demand Days.

43

The structural break and elasticity of coal demand in China: empirical findings from 1980-2006  

Science Journals Connector (OSTI)

Coal is the principal primary energy source in China. Research on coal demand is vital for informing China's economic development. In this paper, the theoretical structural break of coal demand was tested using annual time series data from 1980 to 2006. Results indicate that coal demand underwent an intercept structural break during the period 1997-2000 (from ?0.536 breaking to ?0.702). Then long- and short-term relationships between coal demand, income variability, coal price and oil price were explored using a time series modelling technique. Simultaneously, the elasticities of coal demand were tested with respect to income, coal price and oil price. Evidence suggests that the long-run elasticities are 0.560, ?1.161 and 0.733 respectively; with short-term elasticities being 0.716, ?0.067 and 0.017. The conclusion is that there is an integrated relationship between coal demand, income variability, coal price and oil price. China's coal demand will be influenced by the relationship in future. However, the influence from the change in coal price and oil price in the short term are ?0.067 and 0.017, and are insignificant from zero in statistics. This may predicate the unreasonableness existing in the mechanism of China's primary energy pricing. That is, the price of primary energy cannot effectively develop the function of allocating resources.

Jian-Ling Jiao; Ying Fan; Yi-Ming Wei

2009-01-01T23:59:59.000Z

44

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network (OSTI)

of control. Water heater demand response options are notcurrent water heater and air conditioning demand responsecustomer response Demand response water heater participation

Levy, Roger

2014-01-01T23:59:59.000Z

45

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network (OSTI)

Like HECO actual utility demand response implementations canindustry-wide utility demand response applications tend toobjective. Figure 4. Demand Response Objectives 17

Levy, Roger

2014-01-01T23:59:59.000Z

46

Balance of supply and demand in the Russian market for coking-coal concentrates  

Science Journals Connector (OSTI)

Various methods are considered for calculating the balance of supply and demand in the Russian market for coking-coal concentrates within the planning (prediction) period....

V. A. Brodskii

2010-11-01T23:59:59.000Z

47

New coal plant technologies will demand more water  

SciTech Connect

Population shifts, growing electricity demand, and greater competition for water resources have heightened interest in the link between energy and water. The US Energy Information Administration projects a 22% increase in US installed generating capacity by 2030. Of the 259 GE of new capacity expected to have come on-line by then, more than 192 GW will be thermoelectric and thus require some water for cooling. Our challenge will become balancing people's needs for power and for water. 1 ref., 7 figs.

Peltier, R.; Shuster, E.; McNemar, A.; Stiegel, G.J.; Murphy, J.

2008-04-15T23:59:59.000Z

48

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

109 Figure 57. Assumed natural gas and coal prices in LEDGE-in Figure 57. The coal price stays relatively constantAssumed natural gas and coal prices in LEDGE-CA [152]. It

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

49

ENERGY UTILIZATION AND ENVIRONMENTAL CONTROL TECHNOLOGIES IN THE COAL-ELECTRIC CYCLE  

E-Print Network (OSTI)

Electric Generation Technology Conventional Coal-Fired PowerPlants Advanced Coal-Electric Plants OperatingCharacteristics for Conventional Coal- Fired Power

Ferrell, G.C.

2010-01-01T23:59:59.000Z

50

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network (OSTI)

with residential electric resistance water heater solar system backup electric resistance water heaters. Anheaters require electric resistance backup water heaters.

Levy, Roger

2014-01-01T23:59:59.000Z

51

Prediction of demand trends of coking coal in China based on grey linear regression composition model  

Science Journals Connector (OSTI)

The scarce of coking coal resources in China results in its short supply. By establishing a grey linear regression composition model, this paper has greatly improved the inadequacy of grey system prediction model and regression analysis method in trend prediction and finished the prediction of demand trends of coking coal in China with this model. As result of the prediction, it is estimated that in the next decade, the demand for coking coal in China will experience a growth trend; China's demand for coking coal will reach more than 1.535 billion tons by 2015, reach the maximum of 1.639 billion tons by 2020 and drop in 2025.

Hai-Dong Zhou; Qiang Wu; Min Fang; Zhong-Bao Ren; Li-Fei Jin

2013-01-01T23:59:59.000Z

52

U.S. Coal Supply and Demand: 2010 Year in Review - Energy Information...  

Annual Energy Outlook 2012 (EIA)

Coal consumption in the electric power sector in 2010 was higher by 4.5 percent, while coking coal consumption increased by 37.9 percent and the other industrial sector...

53

Electricity Markets Meet the Home through Demand Response Lazaros Gkatzikis  

E-Print Network (OSTI)

Electricity Markets Meet the Home through Demand Response Lazaros Gkatzikis CERTH, University Hegde, Laurent Massouli´e Technicolor Paris Research Lab Paris, France Abstract-- Demand response (DR the alternative option of dynamic demand adaptation. In this direction, demand response (DR) programs provide

54

Coal based electric generation comparative technologies report  

SciTech Connect

Ohio Clean Fuels, Inc., (OCF) has licensed technology that involves Co-Processing (Co-Pro) poor grade (high sulfur) coal and residual oil feedstocks to produce clean liquid fuels on a commercial scale. Stone Webster is requested to perform a comparative technologies report for grassroot plants utilizing coal as a base fuel. In the case of Co-Processing technology the plant considered is the nth plant in a series of applications. This report presents the results of an economic comparison of this technology with other power generation technologies that use coal. Technologies evaluated were:Co-Processing integrated with simple cycle combustion turbine generators, (CSC); Co-Processing integrated with combined cycle combustion turbine generators, (CCC); pulverized coal-fired boiler with flue gas desulfurization and steam turbine generator, (PC) and Circulating fluidized bed boiler and steam turbine generator, (CFB). Conceptual designs were developed. Designs were based on approximately equivalent net electrical output for each technology. A base case of 310 MWe net for each technology was established. Sensitivity analyses at other net electrical output sizes varying from 220 MWe's to 1770 MWe's were also performed. 4 figs., 9 tabs.

Not Available

1989-10-26T23:59:59.000Z

55

Benefits of Demand Response in Electricity Markets and Recommendations for  

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

Demand Response in Electricity Markets and Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 (February 2006) Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 (February 2006) Most electricity customers see electricity rates that are based on average electricity costs and bear little relation to the true production costs of electricity as they vary over time. Demand response is a tariff or program established to motivate changes in electric use by end-use customers in response to changes in the price of electricity over time, or to give

56

Benefits of Demand Response in Electricity Markets and Recommendations...  

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

Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act...

57

Electricity demand as frequency controlled reserves, ENS (Smart...  

Open Energy Info (EERE)

ENS (Smart Grid Project) Jump to: navigation, search Project Name Electricity demand as frequency controlled reserves, ENS Country Denmark Coordinates 56.26392, 9.501785...

58

Electricity demand as frequency controlled reserves, ForskEL...  

Open Energy Info (EERE)

ForskEL (Smart Grid Project) Jump to: navigation, search Project Name Electricity demand as frequency controlled reserves, ForskEL Country Denmark Coordinates 56.26392,...

59

Topics in Residential Electric Demand Response.  

E-Print Network (OSTI)

??Demand response and dynamic pricing are touted as ways to empower consumers, save consumers money, and capitalize on the smart grid and expensive advanced meter (more)

Horowitz, Shira R.

2012-01-01T23:59:59.000Z

60

Price Responsive Demand in New York Wholesale Electricity Market using  

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

Price Responsive Demand in New York Wholesale Electricity Market using Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Title Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Publication Type Report LBNL Report Number LBNL-5557E Year of Publication 2012 Authors Kim, Joyce Jihyun, and Sila Kiliccote Date Published 06/2012 Publisher LBNL/NYSERDA Keywords commercial, demand response, dynamic pricing, mandatory hourly pricing, open automated demand response, openadr, pilot studies & implementation, price responsive demand Abstract In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

Note: This page contains sample records for the topic "demand coal electricity" 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

NREL: Energy Analysis - Coal-Fired Electricity Generation Results...  

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

assessments have shown wide-ranging results. To better understand the greenhouse gas (GHG) emissions from utility-scale, coal-fired electricity generation systems (based on...

62

Table 11a. Coal Prices to Electric Generating Plants, Projected...  

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

a. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Constant Dollars" " constant dollars per million Btu in ""dollar year"" specific to each...

63

Electricity production levelized costs for nuclear, gas and coal  

Office of Scientific and Technical Information (OSTI)

Levelized costs for nuclear, gas and coal for Electricity, under the Mexican scenario. Javier C. Palacios, Gustavo Alonso, Ramn Ramrez, Armando Gmez, Javier Ortiz, Luis C....

64

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

65

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

7 End Uses of Fuel Consumption, 2006; 7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process 773,574 10 9 2,709 10 19 Process Heating

66

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

energy storage and demand management can complement solarwith energy storage to firm the resource, or solar thermaland solar generation. And demand response or energy storage

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

67

Demand Response in U.S. Electricity Markets: Empirical Evidence |  

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

in U.S. Electricity Markets: Empirical Evidence in U.S. Electricity Markets: Empirical Evidence Demand Response in U.S. Electricity Markets: Empirical Evidence The work described in this paper was funded by the Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the U.S. Department of Energy under contract No. DE-AC02-05CH11231. The authors are solely responsible for any omissions or errors contained herein. Demand Response in U.S. Electricity Markets: Empirical Evidence More Documents & Publications Demand Response National Trends: Implications for the West? Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 (February 2006)

68

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network (OSTI)

widely differing control technologies, notification options,Electric Reliability Technology, LBNL, Joseph Eto E. Availability F. Technology Proposed Residential Large

Levy, Roger

2014-01-01T23:59:59.000Z

69

Assumptions to the Annual Energy Outlook 2000 - Electricity Market Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. The major assumptions are summarized below.

70

High-Sulfur Coal for Generating Electricity  

Science Journals Connector (OSTI)

...amounts of coal, because...Director-Mineral Re-sources...of Gas from Coal through a...on coals of high ash-fusion temperature...per ton of high-sulfur coal burned. Absorp-tion...particulate matter as well as...capable of remov-ing up to...

James T. Dunham; Carl Rampacek; T. A. Henrie

1974-04-19T23:59:59.000Z

71

What explains the increased utilization of Powder River Basin coal in electric power generation?  

SciTech Connect

This article examines possible explanations for increased utilization of Powder River Basin (PRB) coal in electric power generation that occurred over the last two decades. Did more stringent environmental policy motivate electric power plants to switch to less polluting fuels? Or, did greater use of PRB coal occur because relative price changes altered input markets in favor of this fuel. A key finding is that factors other than environmental policy such as the decline in railroad freight rates together with elastic demand by power plants were major contributors to the increased utilization of this fuel.

Gerking, S.; Hamilton, S.F. [University of Central Florida, Orlando, FL (United States)

2008-11-15T23:59:59.000Z

72

The Impact of Climate Change on Electricity Demand in Thailand  

E-Print Network (OSTI)

Climate change is expected to lead to changes in ambient temperature, wind speed, humidity, precipitation and cloud cover. As electricity demand is closely influenced by these climatic variables, there is likely to be ...

Parkpoom, Suchao Jake

2008-01-01T23:59:59.000Z

73

Incentive effects of paying demand response in wholesale electricity markets  

Science Journals Connector (OSTI)

Recently issued U.S. Federal Energy Regulatory Commission regulations require comparable treatment of demand reduction and generation in the wholesale electric market so that they are compensated at the same mark...

Hung-po Chao; Mario DePillis

2013-06-01T23:59:59.000Z

74

The residential demand for electricity in New England,  

E-Print Network (OSTI)

The residential demand for electricity, studied on the national level for many years, is here investigated on the regional level. A survey of the literature is first presented outlining past econometric work in the field ...

Levy, Paul F.

1973-01-01T23:59:59.000Z

75

Innovative and Progressive Electric Utility Demand-Side Management Strategies  

E-Print Network (OSTI)

to as Demand-Side Management (DSM) and are extremely rigorous in scope. Electric utilities have pursued many different DSM policies and strategies during the past decade. These programs have addressed various technologies and have included rebates for efficient...

Epstein, G. J.; Fuller, W. H.

76

Electricity demand, GDP and employment: evidence from Italy  

Science Journals Connector (OSTI)

This paper applies time series methodologies to examine the causal relationship among electricity demand, real per capita GDP and total labor force for Italy from 1970 to 2009. After a brief introduction, a su...

Cosimo Magazzino

2014-03-01T23:59:59.000Z

77

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

problems, Electric Power Systems Research, 73(2): p. 169-problems, Electric Power Systems Research, 77(3-4): p. 212-decomposition, Electric Power Systems Research, 77(7): p.

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

78

Electricity demand and supply projections for Indian economy  

Science Journals Connector (OSTI)

The present paper deals with an econometric model to forecast future electricity requirements for various sectors of Indian economy. Following the analysis of time series of sectoral GDPs, number of consumers in various sectors and price indices of electricity, a logarithmic linear regression model has been developed to forecast long-term demand of electricity up to the year 2045. Using the historical GDP growth in various sectors and the corresponding electricity consumption for the period 1971-2005, it is predicted that the total electricity demand will be 5000 billion kWh, against a supply of 1500 billion kWh in the year 2045. This may lead to a disastrous situation for the country unless drastic policy measures are taken to improve the supply side as well as to reduce demand.

Subhash Mallah; N.K. Bansal

2009-01-01T23:59:59.000Z

79

Integrated electricity and heating demand-side management for wind power integration in China  

Science Journals Connector (OSTI)

Abstract The wind power generation system will play a crucial role for developing the energy conservative, environmentally friendly, and sustainable electric power system in China. However, the intermittency and unpredictability of wind power has been an obstacle to the deployment of wind power generation, especially in the winter of northern China. In northern China, a combined heat and power (CHP) unit has been widely utilized as a heat and electricity source. Considering the flexible operation of CHP with introduction of electric heat pumps (EHPs), this paper proposes a new method of electricity and heating demand side management to facilitate the wind power integration with the purpose of energy conservation in a unit-commitment problem. The thermal characteristics of demand side such as the thermal inertia of buildings and thermal comfort of end users are taken into consideration. Moreover the distributed electric heat pumps (EHPs) widely used by city dwellers are introduced into the wind-thermal power system as the heating source and spinning reserve so as to increase the flexibility of heating and electricity supply. The simulation results show that the new method can integrate more wind power into power grid for electricity and heating demand to reduce the coal consumption.

Yulong Yang; Kai Wu; Hongyu Long; Jianchao Gao; Xu Yan; Takeyoshi Kato; Yasuo Suzuoki

2014-01-01T23:59:59.000Z

80

Electricity from coal and utilization of coal combustion by-products  

SciTech Connect

Most electricity in the world is conventionally generated using coal, oil, natural gas, nuclear energy, or hydropower. Due to environmental concerns, there is a growing interest in alternative energy sources for heat and electricity production. The major by-products obtained from coal combustion are fly ash, bottom ash, boiler slag, and flue gas desulfurization (FGD) materials. The solid wastes produced in coal-fired power plants create problems for both power-generating industries and environmentalists. The coal fly ash and bottom ash samples may be used as cementitious materials.

Demirbas, A. [Sila Science, Trabzon (Turkey)

2008-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

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

E-Print Network (OSTI)

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

82

U.S. electric utility demand-side management 1996  

SciTech Connect

The US Electric Utility Demand-Side Management report presents comprehensive information on electric power industry demand-side management (DSM) activities in the US at the national, regional, and utility levels. The objective of the publication is to provide industry decision makers, government policy makers, analysts, and the general public with historical data that may be used in understanding DSM as it related to the US electric power industry. The first chapter, ``Profile: U.S. Electric Utility Demand-Side Management,`` presents a general discussion of DSM, its history, current issues, and a review of key statistics for the year. Subsequent chapters present discussions and more detailed data on energy savings, peak load reductions and costs attributable to DSM. 9 figs., 24 tabs.

NONE

1997-12-01T23:59:59.000Z

83

Sixth Northwest Conservation and Electric Power Plan Appendix H: Demand Response  

E-Print Network (OSTI)

Sixth Northwest Conservation and Electric Power Plan Appendix H: Demand Response Introduction..................................................................................................................................... 1 Demand Response in the Council's Fifth Power Plan......................................................................................................................... 3 Estimate of Potential Demand Response

84

Coal Transportation Rates to the Electric Power Sector  

Gasoline and Diesel Fuel Update (EIA)

Coal reports Coal reports Coal Transportation Rates to the Electric Power Sector With Data through 2010 | Release Date: November 16, 2012 | Next Release Date: December 2013 | Correction Previous editions Year: 2011 2004 Go Figure 1. Deliveries from major coal basins to electric power plants by rail, 2010 Background In this latest release of Coal Transportation Rates to the Electric Power Sector, the U.S. Energy Information Administration (EIA) significantly expands upon prior versions of this report with the incorporation of new EIA survey data. Figure 1. Percent of total U.S. rail shipments represented in data figure data Previously, EIA relied solely on data from the U.S. Surface Transportation Board (STB), specifically their confidential Carload Waybill Sample. While valuable, due to the statistical nature of the Waybill data,

85

Water effects of the use of western coal for electrical production  

SciTech Connect

Water may be a constraint on the expanded development of coal resources in the semi-arid western United States. Water allocation in the West has been determined by the appropriative rights doctrine which allows perpetual use of water sources by those who first claim it for beneficial purposes. This has had the effect of placing a dominative interest in water allocation in one economic sector: agriculture. New water sources are available to coal producers but political and economic problems must be overcome. Water is required by every phase of coal development. Mines use water for dust control and land reclamation. Coal slurry pipelines would use water as a transport medium. Steam electric power plants use water for cooling, cleaning, and in the boiler. Coal gasification plants would use water for cooling, cleaning, and as a material input. In addition to these direct uses of water by coal development, the people who build and operate the development demand water for domestic and recreational purposes. The quantity of water required for a given element of a coal development is site specific and dependent on many factors. The available literature cites a range of estimates of the amount of water required for each type of development. The width of this range seems related to the stage of development of the particular technology. Estimates of water requirements for various schemes to provide an average electrical load of 9 GWe to a load center 1000 miles from western mines are shown in Table 5.

Rogers, E.A.

1980-02-01T23:59:59.000Z

86

Demand response in wholesale electricity markets: the choice of customer baseline  

Science Journals Connector (OSTI)

Given a hybrid electricity market structure, demand response (DR) in wholesale electricity markets depends ... counterfactual consumption levels that would have prevailed without demand-response programs. However...

Hung-po Chao

2011-02-01T23:59:59.000Z

87

Clean coal technologies in electric power generation: a brief overview  

SciTech Connect

The paper talks about the future clean coal technologies in electric power generation, including pulverized coal (e.g., advanced supercritical and ultra-supercritical cycles and fluidized-bed combustion), integrated gasification combined cycle (IGCC), and CO{sub 2} capture technologies. 6 refs., 2 tabs.

Janos Beer; Karen Obenshain [Massachusetts Institute of Technology (MIT), MA (United States)

2006-07-15T23:59:59.000Z

88

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices  

DOE Patents (OSTI)

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.

Chassin, David P. (Pasco, WA); Donnelly, Matthew K. (Kennewick, WA); Dagle, Jeffery E. (Richland, WA)

2006-12-12T23:59:59.000Z

89

Demand or No Demand: Electrical Rates for Standard 90.1-2010  

SciTech Connect

ASHRAE is developing the 2010 version of Standard 90.1 with the goal of reaching 30% savings beyond the 2004 edition of the standard. Economics are used to inform the process of setting criteria and the assumed electricity rates are crucial to these calculations. Previously the committee used national average electrical rates in the criteria setting but recently a number of voices have been heard in support of using demand rates instead. This article explores the issues surrounding the use of a pure consumption rate vs. the use of demand rates and looks at the implications for HVAC equipment efficiency.

Jarnagin, Ronald E.; McBride, Merle F.; Trueman, Cedric; Liesen, Richard J.

2008-04-30T23:59:59.000Z

90

Electricity demand as frequency controlled reserves, ENS (Smart Grid  

Open Energy Info (EERE)

Electricity demand as frequency controlled reserves, ENS (Smart Grid Electricity demand as frequency controlled reserves, ENS (Smart Grid Project) Jump to: navigation, search Project Name Electricity demand as frequency controlled reserves, ENS Country Denmark Coordinates 56.26392°, 9.501785° 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":56.26392,"lon":9.501785,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

91

Progress towards Managing Residential Electricity Demand: Impacts of  

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

Progress towards Managing Residential Electricity Demand: Impacts of Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India Title Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India Publication Type Conference Paper Refereed Designation Unknown LBNL Report Number LBNL-2322E Year of Publication 2009 Authors McNeil, Michael A., and Maithili Iyer Date Published 06/2009 Keywords Air Conditioners, Appliance Efficiency, appliance energy efficiency, energy efficiency, greenhouse gas emissions, india, Labels, MEPS, refrigerators, Standards and labeling URL https://isswprod.lbl.gov/library/view-docs/public/output/rpt77250.PDF Refereed Designation Unknown Attachment Size

92

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

E-Print Network (OSTI)

Total Energy Source Demand Coal, Oil, Gas, Heat, ElectricityEnergy Source Demand per Household Coal, Oil, Gas, Heat,ton of oil equivalent Considerable increases in demand for

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

93

\\{HEMSs\\} and enabled demand response in electricity market: An overview  

Science Journals Connector (OSTI)

Abstract Traditional electricity grid offers demand side management (DSM) programs for industrial plants and commercial buildings; there is no such program for residential consumers because of the lack of effective automation tools and efficient information and communication technologies (ICTs). Smart Grid is, by definition, equipped with modern automation tools such as home energy management system (HEMS), and ICTs. HEMS is an intelligent system that performs planning, monitoring and control functions of the energy utilization within premises. It is intended to offer desirable demand response according to system conditions and price value signaled by the utility. HEMS enables smart appliances to counter demand response programs according to the comfort level and priority set by the consumer. Demand response can play a key role to ensure sustainable and reliable electricity supply by reducing future generation cost, electricity prices, CO2 emission and electricity consumption at peak times. This paper focuses on the review of \\{HEMSs\\} and enabled demand response (DR) programs in various scenarios as well as incorporates various DR architectures and models employed in the smart grid. A comprehensive case study along with simulations and numerical analysis has also been presented.

Aftab Ahmed Khan; Sohail Razzaq; Asadullah Khan; Fatima Khursheed; Owais

2015-01-01T23:59:59.000Z

94

Rail Coal Transportation Rates to the Electric Power Sector  

Gasoline and Diesel Fuel Update (EIA)

Analysis & Projections Analysis & Projections ‹ See all Coal Reports Rail Coal Transportation Rates to the Electric Power Sector Release Date: June 16, 2011 | Next Release Date: July 2012 | full report Introduction The U.S. Energy Information Administration (EIA) is releasing a series of estimated data based on the confidential, carload waybill sample obtained from the U.S. Surface Transportation Board (Carload Waybill Sample). These estimated data represent a continuation of EIA's data and analysis products related to coal rail transportation. These estimated data also address a need expressed by EIA's customers for more detailed coal transportation rate data. Having accurate coal rail transportation rate data is important to understanding the price of electricity for two main reasons. First,

95

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Palm Springs solar insolation, and California electricityConcentrating Solar Power in California, NREL/SR-550-39291,generation from wind and solar in California could be very

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

96

Distributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost  

E-Print Network (OSTI)

is to perform demand side management (DSM) [1], which aims at matching the consum- ers' electricity demand between electricity consumption and generation. On the consumption side, electric demand ramps upDistributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost Siyu Yue

Pedram, Massoud

97

Combined-Cycle Power Generation A Promising Alternative for the Generation of Electric Power from Coal  

Science Journals Connector (OSTI)

The classic concept of generating electric power from a fossil energy source (coal, oil, gas) comprises the following essential process steps (Fig. 1): Combustion of coal and g...

Eberhard Nitschke

1987-01-01T23:59:59.000Z

98

Safe electrical design practices for coal-handling facilities  

SciTech Connect

Today's electrical designer must be aware of the latest changes in both codes and regulatory requirements. These regulations now make classification for coal-handling facilities as hazardous areas, a mandatory requirement for both utility and industrial plants. Safe electrical systems can be provided with proper selection, application and installation of material and equipment.

Baggs, G.; Tyles, G.

1982-05-01T23:59:59.000Z

99

Climate, extreme heat, and electricity demand in California  

SciTech Connect

Climate projections from three atmosphere-ocean climate models with a range of low to mid-high temperature sensitivity forced by the Intergovernmental Panel for Climate Change SRES higher, middle, and lower emission scenarios indicate that, over the 21st century, extreme heat events for major cities in heavily air-conditioned California will increase rapidly. These increases in temperature extremes are projected to exceed the rate of increase in mean temperature, along with increased variance. Extreme heat is defined here as the 90 percent exceedance probability (T90) of the local warmest summer days under the current climate. The number of extreme heat days in Los Angeles, where T90 is currently 95 F (32 C), may increase from 12 days to as many as 96 days per year by 2100, implying current-day heat wave conditions may last for the entire summer, with earlier onset. Overall, projected increases in extreme heat under the higher A1fi emission scenario by 2070-2099 tend to be 20-30 percent higher than those projected under the lower B1 emission scenario, ranging from approximately double the historical number of days for inland California cities (e.g. Sacramento and Fresno), up to four times for previously temperate coastal cities (e.g. Los Angeles, San Diego). These findings, combined with observed relationships between high temperature and electricity demand for air-conditioned regions, suggest potential shortfalls in transmission and supply during T90 peak electricity demand periods. When the projected extreme heat and peak demand for electricity are mapped onto current availability, maintaining technology and population constant only for demand side calculations, we find the potential for electricity deficits as high as 17 percent. Similar increases in extreme heat days are suggested for other locations across the U.S. southwest, as well as for developing nations with rapidly increasing electricity demands. Electricity response to recent extreme heat events, such as the July 2006 heat wave in California, suggests that peak electricity demand will challenge current supply, as well as future planned supply capacities when population and income growth are taken into account.

Miller, N.L.; Hayhoe, K.; Jin, J.; Auffhammer, M.

2008-04-01T23:59:59.000Z

100

THE ROLE OF BUILDING TECHNOLOGIES IN REDUCING AND CONTROLLING PEAK ELECTRICITY DEMAND  

E-Print Network (OSTI)

LBNL-49947 THE ROLE OF BUILDING TECHNOLOGIES IN REDUCING AND CONTROLLING PEAK ELECTRICITY DEMAND? ..................................... 8 What are the seasonal aspects of electric peak demand?............................ 9 What because of the California electricity crisis (Borenstein 2001). Uncertainties surrounding the reliability

Note: This page contains sample records for the topic "demand coal electricity" 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

Table 11.2 Electricity: Components of Net Demand, 2010;  

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

2 Electricity: Components of Net Demand, 2010; 2 Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Electricity Components; Unit: Million Kilowatthours. Sales and Net Demand Economic Total Onsite Transfers for Characteristic(a) Purchases Transfers In(b) Generation(c) Offsite Electricity(d) Total United States Value of Shipments and Receipts (million dollars) Under 20 91,909 Q 1,406 194 93,319 20-49 86,795 81 2,466 282 89,060 50-99 90,115 215 2,593 1,115 91,808 100-249 124,827 347 11,375 5,225 131,324 250-499 116,631 2,402 24,079 5,595 137,516 500 and Over 225,242 6,485 91,741 20,770 302,699 Total 735,520 9,728 133,661 33,181 845,727 Employment Size Under 50

102

Table 11.1 Electricity: Components of Net Demand, 2010;  

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

1.1 Electricity: Components of Net Demand, 2010; 1.1 Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 75,652 21 5,666 347 80,993 3112 Grain and Oilseed Milling 16,620 0 3,494 142 19,972 311221 Wet Corn Milling 7,481 0 3,213 14 10,680 31131 Sugar Manufacturing 1,264 0 1,382 109 2,537 3114 Fruit and Vegetable Preserving and Specialty Foods 9,258 0 336 66 9,528 3115 Dairy Products 9,585 2 38 22 9,602 3116 Animal Slaughtering and Processing 20,121 15 19 0 20,155 312 Beverage and Tobacco Products

103

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

4 End Uses of Fuel Consumption, 2006; 4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

104

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3

105

Stackelberg Game based Demand Response for At-Home Electric Vehicle Charging  

E-Print Network (OSTI)

1 Stackelberg Game based Demand Response for At-Home Electric Vehicle Charging Sung-Guk Yoon Member, which is called demand response. Under demand response, retailers determine their electricity prices cost solution and the result of the equal- charging scheme. Index Terms--demand response, electric

Bahk, Saewoong

106

Exponential smoothing with covariates applied to electricity demand forecast  

Science Journals Connector (OSTI)

Exponential smoothing methods are widely used as forecasting techniques in industry and business. Their usual formulation, however, does not allow covariates to be used for introducing extra information into the forecasting process. In this paper, we analyse an extension of the exponential smoothing formulation that allows the use of covariates and the joint estimation of all the unknowns in the model, which improves the forecasting results. The whole procedure is detailed with a real example on forecasting the daily demand for electricity in Spain. The time series of daily electricity demand contains two seasonal patterns: here the within-week seasonal cycle is modelled as usual in exponential smoothing, while the within-year cycle is modelled using covariates, specifically two harmonic explanatory variables. Calendar effects, such as national and local holidays and vacation periods, are also introduced using covariates. [Received 28 September 2010; Revised 6 March 2011, 2 October 2011; Accepted 16 October 2011

José D. Bermúdez

2013-01-01T23:59:59.000Z

107

High-Sulfur Coal for Generating Electricity  

Science Journals Connector (OSTI)

High-Sulfur...FLUIDIZED-BED COMBUSTORS, COMBUSTION...MAY FLUE GAS DES S E...1971 ). High-sulfur...was brief. Natural gas became...overdependent on natural gas and oil to...elevated pressure with a downward...coals of high ash-fusion...

James T. Dunham; Carl Rampacek; T. A. Henrie

1974-04-19T23:59:59.000Z

108

High-Sulfur Coal for Generating Electricity  

Science Journals Connector (OSTI)

...made historically by heating bitumi-nous coal in...heart of the anthracite district only about 5 years ago...energy, wind, and geothermal steam and brines, will...15.7 Nuclear 3.1 Geothermal Negligible 1973, use...home and commercial heating, transporta-tion...

James T. Dunham; Carl Rampacek; T. A. Henrie

1974-04-19T23:59:59.000Z

109

Tracking new coal-fired power plants: coal's resurgence in electric power generation  

SciTech Connect

This information package is intended to provide an overview of 'Coal's resurgence in electric power generation' by examining proposed new coal-fired power plants that are under consideration in the USA. The results contained in this package are derived from information that is available from various tracking organizations and news groups. Although comprehensive, this information is not intended to represent every possible plant under consideration but is intended to illustrate the large potential that exists for new coal-fired power plants. It should be noted that many of the proposed plants are likely not to be built. For example, out of a total portfolio (gas, coal, etc.) of 500 GW of newly planned power plant capacity announced in 2001, 91 GW have been already been scrapped or delayed. 25 refs.

NONE

2007-05-01T23:59:59.000Z

110

Electric Water Heater Modeling and Control Strategies for Demand Response  

SciTech Connect

Abstract Demand response (DR) has a great potential to provide balancing services at normal operating conditions and emergency support when a power system is subject to disturbances. Effective control strategies can significantly relieve the balancing burden of conventional generators and reduce investment on generation and transmission expansion. This paper is aimed at modeling electric water heaters (EWH) in households and tests their response to control strategies to implement DR. The open-loop response of EWH to a centralized signal is studied by adjusting temperature settings to provide regulation services; and two types of decentralized controllers are tested to provide frequency support following generator trips. EWH models are included in a simulation platform in DIgSILENT to perform electromechanical simulation, which contains 147 households in a distribution feeder. Simulation results show the dependence of EWH response on water heater usage . These results provide insight suggestions on the need of control strategies to achieve better performance for demand response implementation. Index Terms Centralized control, decentralized control, demand response, electrical water heater, smart grid

Diao, Ruisheng; Lu, Shuai; Elizondo, Marcelo A.; Mayhorn, Ebony T.; Zhang, Yu; Samaan, Nader A.

2012-07-22T23:59:59.000Z

111

Electricity Demand Evolution Driven by Storm Motivated Population Movement  

SciTech Connect

Managing the risks posed by climate change to energy production and delivery is a challenge for communities worldwide. Sea Level rise and increased frequency and intensity of natural disasters due to sea surface temperature rise force populations to move locations, resulting in changing patterns of demand for infrastructure services. Thus, Infrastructures will evolve to accommodate new load centers while some parts of the network are underused, and these changes will create emerging vulnerabilities. Combining climate predictions and agent based population movement models shows promise for exploring the universe of these future population distributions and changes in coastal infrastructure configurations. In this work, we created a prototype agent based population distribution model and developed a methodology to establish utility functions that provide insight about new infrastructure vulnerabilities that might result from these patterns. Combining climate and weather data, engineering algorithms and social theory, we use the new Department of Energy (DOE) Connected Infrastructure Dynamics Models (CIDM) to examine electricity demand response to increased temperatures, population relocation in response to extreme cyclonic events, consequent net population changes and new regional patterns in electricity demand. This work suggests that the importance of established evacuation routes that move large populations repeatedly through convergence points as an indicator may be under recognized.

Allen, Melissa R [ORNL; Fernandez, Steven J [ORNL; Fu, Joshua S [ORNL; Walker, Kimberly A [ORNL

2014-01-01T23:59:59.000Z

112

Sixth Northwest Conservation and Electric Power Plan Chapter 5: Demand Response  

E-Print Network (OSTI)

Sixth Northwest Conservation and Electric Power Plan Chapter 5: Demand Response Summary of Key.............................................................................................................. 1 Demand Response in the Fifth Power Plan........................................................................................... 3 Demand Response in the Sixth Power Plan

113

Large Consumer Electricity Acquisition Considering Time-of-Use Rates Demand Response Programs  

Science Journals Connector (OSTI)

The consumers try to obtain their electricity demand at minimum cost from different resources in restructured electricity markets. Hence more attention have been made on demand response programs (DRP) which aims ...

Sayyad Nojavan; Hadi Qesmati; Kazem Zare

2014-12-01T23:59:59.000Z

114

Influence of Air Conditioner Operation on Electricity Use and Peak Demand  

E-Print Network (OSTI)

Electricity demand due to occupant controlled room air conditioners in a large mater-metered apartment building is analyzed. Hourly data on the electric demand of the building and of individual air conditioners are used in analyses of annual...

McGarity, A. E.; Feuermann, D.; Kempton, W.; Norford, L. K.

1987-01-01T23:59:59.000Z

115

Demand responsive programs - an emerging resource for competitive electricity markets?  

SciTech Connect

The restructuring of regional electricity markets in the U.S. has been accompanied by numerous problems, including generation capacity shortages, transmission congestion, wholesale price volatility, and reduced system reliability. These problems have created significant new opportunities for technologies and business approaches that allow load serving entities and other aggregators, to control and manage the load patterns of their wholesale or retail end-users. These technologies and business approaches for manipulating end-user load shapes are known as Load Management or, more recently, Demand Responsive programs. Lawrence Berkeley National Laboratory (LBNL) is conducting case studies on innovative demand responsive programs and presents preliminary results for five case studies in this paper. These case studies illustrate the diversity of market participants and range of technologies and business approaches and focus on key program elements such as target markets, market segmentation and participation results; pricing scheme; dispatch and coordination; measurement, verification, and settlement; and operational results where available.

Heffner, Grayson C. Dr.; Goldman, Charles A.

2001-06-25T23:59:59.000Z

116

An Approach to Demand Response for Alleviating Power System Stress Conditions due to Electric Vehicle Penetration.  

E-Print Network (OSTI)

??Along with the growth of electricity demand and the penetration of intermittent renewable energy sources, electric power distribution networks will face more and more stress (more)

Shao, Shengnan

2011-01-01T23:59:59.000Z

117

Demand for Electric Power in Norway : Estimating price and substitution elasticities.  

E-Print Network (OSTI)

??The main goal of this master thesis is to estimate how the prices of electricity and heating oil affect the aggregate demand for electric power (more)

yan, Ola Hagen

2010-01-01T23:59:59.000Z

118

The potential contribution of small hydroelectric generation to meeting electrical demand on Vancouver Island.  

E-Print Network (OSTI)

??This work focuses on the electrical contribution small hydro generation can make to meeting Vancouver Island's electrical demand, today, and as further development proceeds. A (more)

Schuett, Matthew T.

2008-01-01T23:59:59.000Z

119

New Zealand Energy Data: Electricity Demand and Consumption | OpenEI  

Open Energy Info (EERE)

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

120

Employing demand response in energy procurement plans of electricity retailers  

Science Journals Connector (OSTI)

Abstract This paper proposes a new framework in which demand response (DR) is incorporated as an energy resource of electricity retailers in addition to the commonly used forward contracts and pool markets. In this way, a stepwise reward-based DR is proposed as a real-time resource of the retailer. In addition, the unpredictable behavior of customers participating in the proposed reward-based DR is modeled through a scenario-based participation factor. The overall problem is formulated as a stochastic optimization approach in which pool prices and customers participation in DR are uncertain variables. The feasibility of the problem is evaluated on a realistic case of the Australian National Electricity Market (NEM) and solved using General Algebraic Modeling System (GAMS) software.

Nadali Mahmoudi; Mehdi Eghbal; Tapan K. Saha

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

Demand Response in U.S. Electricity Markets: Empirical Evidence  

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

LBNL-2124E LBNL-2124E Demand Response in U.S. Electricity Markets: Empirical Evidence Principal Authors Peter Cappers a , Charles Goldman a , and David Kathan b a Lawrence Berkeley National Laboratory 1 Cyclotron Road, Berkeley, CA 94720 b Federal Energy Regulatory Commission, 888 First Street, NE, Washington, DC 20426, Energy Analysis Department Ernest Orlando Lawrence Berkeley National Laboratory 1 Cyclotron Road, MS 90R4000 Berkeley CA 94720-8136 Environmental Energy Technologies Division June 2009 http://eetd.lbl.gov/ea/EMS/EMS_pubs.html Pre-print version of the article to be published in Energy, forthcoming 2009. The work described in this paper was funded by the Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the U.S.

122

Mercury Control Technologies for Electric Utilities Burning Lignite Coal  

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

Mercury control technologies for Mercury control technologies for electric utilities Burning lignite coal Background In partnership with a number of key stakeholders, the U.S. Department of Energy's Office of Fossil Energy (DOE/FE), through its National Energy Technology Laboratory (NETL), has been carrying out a comprehensive research program since the mid-1990s focused on the development of advanced, cost-effective mercury (Hg) control technologies for coal-fired power plants. Mercury is a poisonous metal found in coal, which can be harmful and even toxic when absorbed from the environment and concentrated in animal tissues. Mercury is present as an unwanted by-product of combustion in power plant flue gases, and is found in varying percentages in three basic chemical forms(known as speciation): particulate-bound mercury, oxidized

123

Comparative life-cycle air emissions of coal, domestic natural gas, LNG, and SNG for electricity generation  

SciTech Connect

The U.S. Department of Energy (DOE) estimates that in the coming decades the United States' natural gas (NG) demand for electricity generation will increase. Estimates also suggest that NG supply will increasingly come from imported liquefied natural gas (LNG). Additional supplies of NG could come domestically from the production of synthetic natural gas (SNG) via coal gasification-methanation. The objective of this study is to compare greenhouse gas (GHG), SOx, and NOx life-cycle emissions of electricity generated with NG/LNG/SNG and coal. This life-cycle comparison of air emissions from different fuels can help us better understand the advantages and disadvantages of using coal versus globally sourced NG for electricity generation. Our estimates suggest that with the current fleet of power plants, a mix of domestic NG, LNG, and SNG would have lower GHG emissions than coal. If advanced technologies with carbon capture and sequestration (CCS) are used, however, coal and a mix of domestic NG, LNG, and SNG would have very similar life-cycle GHG emissions. For SOx and NOx we find there are significant emissions in the upstream stages of the NG/LNG life-cycles, which contribute to a larger range in SOx and NOx emissions for NG/LNG than for coal and SNG. 38 refs., 3 figs., 2 tabs.

Paulina Jaramillo; W. Michael Griffin; H. Scott Matthews [Carnegie Mellon University, Pittsburgh, PA (United States). Civil and Environmental Engineering Department

2007-09-15T23:59:59.000Z

124

The Asia-Pacific coal technology conference  

SciTech Connect

The Asia-Pacific coal technology conference was held in Honolulu, Hawaii, November 14--16, 1989. Topics discussed included the following: Expanded Horizons for US Coal Technology and Coal Trade; Future Coal-Fired Generation and Capacity Requirements of the Philippines; Taiwan Presentation; Korean Presentation; Hong Kong Future Coal Requirements; Indonesian Presentation; Electric Power System in Thailand; Coal in Malaysia -- A Position Paper; The US and Asia: Pacific Partners in Coal and Coal Technology; US Coal Production and Export; US Clean Coal Technologies; Developments in Coal Transport and Utilization; Alternative/Innovative Transport; Electricity Generation in Asia and the Pacific: Power Sector Demand for Coal, Oil and Natural Gas; Role of Clean Coal Technology in the Energy Future of the World; Global Climate Change: A Fossil Energy Perspective; Speaker: The Role of Coal in Meeting Hawaii's Power Needs; and Workshops on Critical Issues Associated with Coal Usage. Individual topics are processed separately for the data bases.

Not Available

1990-02-01T23:59:59.000Z

125

Customer Load Strategies for Demand Response in Bilateral Contracting of Electricity  

Science Journals Connector (OSTI)

Electricity markets are systems for affecting the purchase and sale of electricity using supply and demand to set energy prices. Electricity can be traded in organized markets or by negotiating forward bilateral ...

Fernando Lopes; Hugo Algarvio

2014-01-01T23:59:59.000Z

126

Using Compressed Air Efficiency Projects to Reduce Peak Industrial Electric Demands: Lessons Learned  

E-Print Network (OSTI)

"To help customers respond to the wildly fluctuating energy markets in California, Pacific Gas & Electric (PG&E) initiated an emergency electric demand reduction program in October 2000 to cut electric use during peak periods. One component...

Skelton, J.

127

Renewable Electricity Futures Study. Volume 3: End-Use Electricity Demand  

SciTech Connect

The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

Hostick, D.; Belzer, D.B.; Hadley, S.W.; Markel, T.; Marnay, C.; Kintner-Meyer, M.

2012-06-01T23:59:59.000Z

128

Table E13.1. Electricity: Components of Net Demand, 1998  

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

1. Electricity: Components of Net Demand, 1998;" 1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Electricity Components;" " Unit: Million Kilowatthours." " ",," "," ",," " ,,,,"Sales and","Net Demand","RSE" "Economic",,,"Total Onsite","Transfers","for","Row" "Characteristic(a)","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,"Total United States"

129

International Coal Prices for Electricity Generation - EIA  

Gasoline and Diesel Fuel Update (EIA)

Electricity Generation for Selected Countries1 Electricity Generation for Selected Countries1 U.S. Dollars per Metric Ton2 Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Australia NA NA NA NA NA NA NA NA NA Austria 45.70 52.67 64.47 81.28 87.52 92.75 96.24 122.10 120.10 Belgium 37.72 34.48 35.94 72.46 80.35 63.24 75.54 130.54 NA Canada 18.52 19.17 21.03 20.32 24.50 26.29 NA NA NA China NA NA NA NA NA NA NA NA NA Chinese Taipei (Taiwan) 31.29 31.43 31.18 47.75 57.70 54.68 70.17 118.49 NA Czech Republic3 8.05 8.52 C C C C C C C Denmark NA NA NA NA NA NA NA NA NA Finland 46.66 44.02 48.28 67.00 72.06 74.27 83.72 142.90 NA France 45.28 42.89 42.45 63.55 74.90 72.90 83.90 136.10 NA Germany 51.86 45.70 50.02 70.00 79.74 77.95 90.26 152.60 NA

130

Climate, extreme heat, and electricity demand in California  

E-Print Network (OSTI)

demand responses to climate change: Methodology and application to the Commonwealth of Massachusetts.

Miller, N.L.

2008-01-01T23:59:59.000Z

131

Marginal Cost Pricing: An Efficient Tool to Ensure Electricity Demand Side Management  

Science Journals Connector (OSTI)

The constant adaptation between electricity supply and demand can be achieved in two ways : On the supply side, through the construction of additional facilities, and on the demand side, by implementing tariffs, ...

B. Lescoeur; J. B. Galland; E. Husson

1988-01-01T23:59:59.000Z

132

Duct Leakage Impacts on Airtightness, Infiltration, and Peak Electrical Demand in Florida Homes  

E-Print Network (OSTI)

return leak from the attic can increase cooling electrical demand by 100%. Duct repairs in a typical. electrically heated Florida home reduce winter peak demand by about 1.6 kW per house at about one-sixth the cost of building new electrical generation...

Cummings, J. B.; Tooley, J. J.; Moyer, N.

1990-01-01T23:59:59.000Z

133

The behavioral response to voluntary provision of an environmental public good: Evidence from residential electricity demand  

E-Print Network (OSTI)

residential electricity demand Grant D. Jacobsen a,n , Matthew J. Kotchen b,c , Michael P. Vandenbergh d online 25 February 2012 JEL classification: H41 Q42 G54 Keywords: Green electricity Voluntary environmental protection Carbon offset Renewable energy Moral licensing Residential electricity demand a b s t r

Kotchen, Matthew J.

134

Residential Electricity Demand in China -- Can Efficiency Reverse the Growth?  

E-Print Network (OSTI)

for 90% of household electricity consumption in China. Usinggives an annual electricity consumption of 12kWh assumingto look at is electricity consumption at the household

Letschert, Virginie

2010-01-01T23:59:59.000Z

135

"Table A16. Components of Total Electricity Demand by Census Region, Industry"  

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

6. Components of Total Electricity Demand by Census Region, Industry" 6. Components of Total Electricity Demand by Census Region, Industry" " Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Groups and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

136

Sweating it out: the response of summer electricity demand to increases in price.  

E-Print Network (OSTI)

??This study examines the own price elasticity of demand for electricity in the Greater Sacramento Area. Data corresponded to customer billing information from the Sacramento (more)

Davis, Zephaniah K.

2014-01-01T23:59:59.000Z

137

ELECTRICITY DEMAND AND SUPPLY PROJECTIONS IN IEA WORLD ENERGY SCENARIOS: HOW MUCH, HOW CLEAN?  

Science Journals Connector (OSTI)

Abstract (40-Word Limit): The presentation will highlight and discuss projections for electricity demand up to 2050 based on the recent publication Energy Technology Perspectives 2012:...

Frankl, Paolo

138

Comparing solar PV (photovoltaic) with coal-fired electricity production in the centralized network of South Africa  

Science Journals Connector (OSTI)

Abstract South Africa has a highly centralized network, in which almost all electricity is produced in Mpumalanga and transmitted throughout South Africa. In the case of the Western Cape, electricity has to be transmitted over 8001370km. This generates losses and entails high transmission costs. Investments in additional production and transmission capacity are needed to cope with the growing demand. Although there is a large potential for solar energy in South Africa, investments are lacking while large investments in new coal-fired power plants are being executed. These coal power plants do not only increase the need for heavier transmission infrastructure, but also have a higher CO2 emission level and a higher pressure on water reserves. This paper performs a more comprehensive cost-analysis between solar energy production and coal production facilities, to make a more elaborate picture of which technologies are more plausible to foresee in the growing demand of electricity. The current centralized electricity infrastructure makes the investment in large production facilities more likely. However, it should be questioned if the investment in large centralized solar parks will be more beneficial than the investments by consumers in smaller solar PV facilities on site.

R.A.F. de Groot; V.G. van der Veen; A.B. Sebitosi

2013-01-01T23:59:59.000Z

139

Evaluation of ground energy storage assisted electric vehicle DC fast charger for demand charge reduction and providing demand response  

Science Journals Connector (OSTI)

Abstract In 2012 there was approximately 2400 electric vehicle DC Fast Charging stations sold globally. According to Pike Research (Jerram and Gartner, 2012), it is anticipated that by 2020 there will be approximately 460,000 of them installed worldwide. A typical public DC fast charger delivers a maximum power output of 50kW which allows a typical passenger vehicle to be 80% charged in 1015min, compared with 68h for a 6.6kW AC level 2 charging unit. While DC fast chargers offer users the convenience of being able to rapidly charge their vehicle, the unit's high power demand has the potential to put sudden strain on the electricity network, and incur significant demand charges. Depending on the utility rate structure, a DC fast charger can experience annual demand charges of several thousand dollars. Therefore in these cases there is an opportunity to mitigate or even avoid the demand charges incurred by coupling the unit with an appropriately sized energy storage system and coordinating the way in which it integrates. This paper explores the technical and economical suitability of coupling a ground energy storage system with a DC fast charge unit for mitigation or avoidance of demand charges and lessening the impact on the local electricity network. This paper also discusses the concept of having the system participate in demand response programs in order to provide grid support and to further improve the economic suitability of an energy storage system.

Donald McPhail

2014-01-01T23:59:59.000Z

140

Role of coal in the world and Asia  

SciTech Connect

This paper examines the changing role of coal in the world and in Asia. Particular attention is given to the rapidly growing demand for coal in electricity generation, the importance of China as a producer and consumer of coal, and the growing environmental challenge to coal. Attention is given to the increasing importance of low sulfur coal and Clean Coal Technologies in reducing the environmental impacts of coal burning.

Johnson, C.J.; Li, B.

1994-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

The Supply and Demand Models Based on Electricity Consumption  

Science Journals Connector (OSTI)

Analyzing how the supply and demand of a commodity changes as a function of its price is one of the many purposes of the field of economics. The supply and demand model of a commodity is also the most efficient a...

Zhaoguang Hu; Zheng Hu

2013-01-01T23:59:59.000Z

142

Table A19. Components of Total Electricity Demand by Census Region and  

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

Components of Total Electricity Demand by Census Region and" Components of Total Electricity Demand by Census Region and" " Economic Characteristics of the Establishment, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," ","Sales/"," ","RSE" " "," ","Transfers","Onsite","Transfers"," ","Row" "Economic Characteristics(a)","Purchases","In(b)","Generation(c)","Offsite","Net Demand(d)","Factors" ,"Total United States" "RSE Column Factors:",0.5,1.4,1.3,1.9,0.5 "Value of Shipments and Receipts" "(million dollars)"

143

Table A26. Components of Total Electricity Demand by Census Region, Census Di  

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

Components of Total Electricity Demand by Census Region, Census Division, and" Components of Total Electricity Demand by Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," ","Sales/"," ","RSE" " "," ","Transfers","Onsite","Transfers"," ","Row" "Economic Characteristics(a)","Purchases","In(b)","Generation(c)","Offsite","Net Demand(d)","Factors" ,"Total United States" "RSE Column Factors:",0.5,2.1,1.2,2,0.4 "Value of Shipments and Receipts"

144

Trends in electricity demand and supply in the developing countries, 1980--1990  

SciTech Connect

This report provides an overview of trends concerning electricity demand and supply in the developing countries in the 1980--1990 period, with special focus on 13 major countries for which we have assembled consistent data series. We describe the linkage between electricity demand and economic growth, the changing sectoral composition of electricity consumption, and changes in the mix of energy sources for electricity generation. We also cover trends in the efficiency of utility electricity supply with respect to power plant efficiency and own-use and delivery losses, and consider the trends in carbon dioxide emissions from electricity supply.

Meyers, S.; Campbell, C.

1992-11-01T23:59:59.000Z

145

"1. Labadie","Coal","Union Electric Co",2407 "2. Iatan","Coal","Kansas City Power & Light Co",1555  

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

Missouri" Missouri" "1. Labadie","Coal","Union Electric Co",2407 "2. Iatan","Coal","Kansas City Power & Light Co",1555 "3. Rush Island","Coal","Union Electric Co",1204 "4. Callaway","Nuclear","Union Electric Co",1190 "5. New Madrid","Coal","Associated Electric Coop, Inc",1160 "6. Thomas Hill","Coal","Associated Electric Coop, Inc",1125 "7. Sioux","Coal","Union Electric Co",986 "8. Hawthorn","Coal","Kansas City Power & Light Co",979 "9. Meramec","Coal","Union Electric Co",951 "10. Aries Power Project","Gas","Dogwood Energy LLC",614

146

Fact #844: October 27, 2014 Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown  

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

From 2002 to 2012, most states have reduced their reliance on coal for electricity generation. The figure below shows the percent change in electricity generated by coal and natural gas for each...

147

Fact #844: October 27, 2014 Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown Dataset  

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

Excel file with dataset for Fact #844:Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown

148

Economy and Electricity Demand Growth Linked but ƒƒƒ.  

Gasoline and Diesel Fuel Update (EIA)

Economy and Electricity Demand Economy and Electricity Demand Growth Linked but ... for International Utility Conference, Demand Trends Panel March 12, 2013 | London, UK by Adam Sieminski, Administrator U. S. electricity use and economic growth, 1950-2040 Adam Sieminski, EEI Demand Trends, March 12, 2013 2 -2% 0% 2% 4% 6% 8% 10% 12% 14% 1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 Percent growth, 3-year rolling average Source: EIA, Annual Energy Outlook 2013 Early Release History Projections 2011 Electricity Use GDP 2.4% 0.9% 2011 - 2040 average Annual energy use of a new refrigerator, 1950-2008 Adam Sieminski, EEI Demand Trends, March 12, 2013 3 Kilowatthours per year Source: DOE / EERE - Building Technologies Office 0 200 400 600 800 1,000 1,200 1,400 1,600 1,800

149

Coal investment and long-term supply and demand outlook for coal in the Asia-Pacific Region  

SciTech Connect

The theme of this symposium to look ahead almost a quarter century to 2020 gives one the freedom to speculate more than usual in projections for coal. It is important to attempt to take a long term look into the future of coal and energy, so that one can begin to prepare for major changes on the horizon. However, it would be a mistake to believe that the crystal ball for making long term projections is accurate for 2020. Hopefully it can suggest plausible changes that have long term strategic importance to Asia`s coal sector. This paper presents the medium scenario of long term projects of coal production, consumption, imports and exports in Asia. The second part of the paper examines the two major changes in Asia that could be most important to the long term role of coal. These include: (1) the impact of strict environmental legislation on energy and technology choices in Asia, and (2) the increased role of the private sector in all aspects of coal in Asia.

Johnson, C.J.

1997-12-31T23:59:59.000Z

150

THE CHALLENGES AND OPPORTUNITIES TO MEET THE WORKFORCE DEMAND IN THE ELECTRIC POWER AND ENERGY PROFESSION  

E-Print Network (OSTI)

, but also has become the backbone for our economic development. The world has witnessed electric power1 THE CHALLENGES AND OPPORTUNITIES TO MEET THE WORKFORCE DEMAND IN THE ELECTRIC POWER AND ENERGY and supply in the world in general, and in the US, in particular. The electric power and energy industry

151

Prices in Wholesale Electricity Markets and Demand Response.  

E-Print Network (OSTI)

??Price determination for a wholesale electricity market has been a long-standing issue in energy systems modeling. From an economic perspective, the complication arises from determining (more)

Aketi, Venkata Sesha Praneeth

2014-01-01T23:59:59.000Z

152

Ancillary Service Revenue Opportunities from Electric Vehicles via Demand Response.  

E-Print Network (OSTI)

??Driven by a variety of factors including falling costs, environmental impacts, and state mandates, the integration of renewable energy on the U. S. electrical grid (more)

Moss, Brian

2011-01-01T23:59:59.000Z

153

Effects of the drought on California electricity supply and demand  

E-Print Network (OSTI)

ELECTRICITY SUPPLY Hydroelectric Energy Supply Thermal-question. Data on PG&E's hydroelectric resources and Pacific27 Table 28 Table 29 Hydroelectric Supply in California Fuel

Benenson, P.

2010-01-01T23:59:59.000Z

154

"1. Coal Creek","Coal","Great River Energy",1133 "2. Antelope Valley","Coal","Basin Electric Power Coop",900  

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

Dakota" Dakota" "1. Coal Creek","Coal","Great River Energy",1133 "2. Antelope Valley","Coal","Basin Electric Power Coop",900 "3. Milton R Young","Coal","Minnkota Power Coop, Inc",697 "4. Leland Olds","Coal","Basin Electric Power Coop",670 "5. Garrison","Hydroelectric","USCE-Missouri River District",508 "6. Coyote","Coal","Otter Tail Power Co",427 "7. Stanton","Coal","Great River Energy",202 "8. Tatanka Wind Power LLC","Other Renewables","Acciona Wind Energy USA LLC",180 "9. Langdon Wind LLC","Other Renewables","FPL Energy Langdon Wind LLC",159

155

Singular value decomposition expansion for electrical demand analysis  

Science Journals Connector (OSTI)

......friction. Reactive power in an electric circuit is analogous to the...eigenvalue decomposition, the elementary factors are invariant under...invariant under three matrix elementary transformations on A, i...often much higher than the resistance in an electrical system......

FAN LI

2000-01-01T23:59:59.000Z

156

Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options and Policy Priorities  

E-Print Network (OSTI)

Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options sensitive impacts on electricity demand growth by different demand-side management (DSM) scenarios countries. The research showed that demand side management strategies could result in significant reduction

de Weck, Olivier L.

157

AN ECONOMETRIC ANALYSIS OF ZAMBIAN INDUSTRIAL ELECTRICITY DEMAND.  

E-Print Network (OSTI)

??The purpose of this thesis is twofold: to examine the electricity use in Zambias mining industry by focusing on own-price, cross price and index of (more)

Chama, Yoram Chama

2012-01-01T23:59:59.000Z

158

ASSESSMENT OF ELECTRICITY DEMAND IN IRAN'S INDUSTRIAL SECTOR USING DIFFERENT INTELLIGENT OPTIMIZATION TECHNIQUES  

Science Journals Connector (OSTI)

This study presents application of particle swarm optimization (PSO) and genetic algorithm (GA) methods to estimate electricity demand in Iran's industrial sectors, based on economic indicators. The economic indicators used in this study are number of ...

M. A. Behrang; E. Assareh; M. R. Assari; A. Ghanbarzadeh

2011-04-01T23:59:59.000Z

159

The Impacts of Utility-Sponsored Demand-Side Management Programs on Industrial Electricity Consumers  

E-Print Network (OSTI)

One of the most pressing issues in electric utility regulation today is the extent to which demand-side management (DSM) programs should be promoted by utilities. DSM refers to energy-efficiency or conservation measures, such as insulation, more...

Rosenblum, J. I.

160

Medium-term forecasting of demand prices on example of electricity prices for industry  

Science Journals Connector (OSTI)

In the paper, a method of forecasting demand prices for electric energy for the industry has been suggested. An algorithm of the forecast for 20062010 based on the data for 19972005 has been presented.

V. V. Kossov

2014-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

Report: Natural Gas Infrastructure Implications of Increased Demand from the Electric Power Sector  

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

This report examines the potential infrastructure needs of the U.S. interstate natural gas pipeline transmission system across a range of future natural gas demand scenarios that drive increased electric power sector natural gas use.

162

Issues Related to the Growth of Electricity in Global Energy Demand  

Science Journals Connector (OSTI)

Since the subject of this international conference is Global Energy Demand in Transition: The New Role of Electricity ... drive the evolution of the market shares of energy sources and uses (which are different,...

Marcelo Alonso

1995-01-01T23:59:59.000Z

163

Electricity Distribution Networks: Investment and Regulation, and Uncertain Demand  

E-Print Network (OSTI)

by the Department of Energy and Climate Change (DEEC) on an annual basis.6 5 Engineering Technical Report 115 (1988). 6 DECC Sub-national energy consumption statistics (http://www.decc.gov.uk/en/content... of non-domestic activity, which must be taken into account whilst forecasting non-domestic demand. 8 DECC Sub-national energy consumption statistics (http://www.decc.gov.uk/en/content...

Jamasb, Tooraj; Marantes, Cristiano

2011-01-31T23:59:59.000Z

164

Photo-Ionic Cells: Two Solutions to Store Solar Energy and Generate Electricity on Demand  

Science Journals Connector (OSTI)

Photo-Ionic Cells: Two Solutions to Store Solar Energy and Generate Electricity on Demand ... potential of solar energy all over the world is many times larger than the current total primary energy demanded. ... The magnitudes of the free energies derived from formal potentials are detd. ...

Manuel A. Mndez; Pekka Peljo; Michel D. Scanlon; Heron Vrubel; Hubert H. Girault

2014-02-27T23:59:59.000Z

165

Co-Production of Substitute Natural Gas/Electricity Via Catalytic Coal Gasification  

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

9 9 Co-ProduCtion of SubStitute natural GaS / eleCtriCity via CatalytiC Coal GaSifiCation Description The United States has vast reserves of low-cost coal, estimated to be sufficient for the next 250 years. Gasification-based technology, such as Integrated Gasification Combined Cycle (IGCC), is the only environmentally friendly technology that provides the flexibility to co-produce hydrogen, substitute natural gas (SNG), premium hydrocarbon liquids including transportation fuels, and electric power in desired combinations from coal and other carbonaceous feedstocks. Rising costs and limited domestic supply of crude oil and natural gas provide a strong incentive for the development of coal gasification-based co-production processes. This project addresses the co-production of SNG and electricity from coal via gasification

166

Electric Demand Cost Versus Labor Cost: A Case Study  

E-Print Network (OSTI)

steel and glass. Pins, glass beads and headers are assembled manually and are put in a carbon tray. Carbon trays are put in furnaces (ovens) which are maintained at a constant temperature between 160Q-2000F and have an exothermic gas environment.... At this time, company registers its peak demand. Company keeps all furnaces on and keep them available for workers in case they will need it for their products. On average, no more than two furnaces will have same temperature and exothermic gas...

Agrawal, S.; Jensen, R.

167

Solutions for Summer Electric Power Shortages: Demand Response andits Applications in Air Conditioning and Refrigerating Systems  

SciTech Connect

Demand response (DR) is an effective tool which resolves inconsistencies between electric power supply and demand. It further provides a reliable and credible resource that ensures stable and economical operation of the power grid. This paper introduces systematic definitions for DR and demand side management, along with operational differences between these two methods. A classification is provided for DR programs, and various DR strategies are provided for application in air conditioning and refrigerating systems. The reliability of DR is demonstrated through discussion of successful overseas examples. Finally, suggestions as to the implementation of demand response in China are provided.

Han, Junqiao; Piette, Mary Ann

2007-11-30T23:59:59.000Z

168

Utility to Purchase Electricity from Innovative DOE-Supported Clean Coal  

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

Utility to Purchase Electricity from Innovative DOE-Supported Clean Utility to Purchase Electricity from Innovative DOE-Supported Clean Coal Project Utility to Purchase Electricity from Innovative DOE-Supported Clean Coal Project January 17, 2012 - 12:00pm Addthis Washington, DC - An innovative clean coal technology project in Texas will supply electricity to the largest municipally owned utility in the United States under a recently signed Power Purchase Agreement, the U.S. Department of Energy (DOE) announced today. Under the agreement - the first U.S. purchase by a utility of low-carbon power from a commercial-scale, coal-based power plant with carbon capture - CPS Energy of San Antonio will purchase approximately 200 megawatts (MW) of power from the Texas Clean Energy Project (TCEP), located just west of Midland-Odessa.

169

Univariate time-series forecasting of monthly peak demand of electricity in northern India  

Science Journals Connector (OSTI)

This study forecasts the monthly peak demand of electricity in the northern region of India using univariate time-series techniques namely Multiplicative Seasonal Autoregressive Integrated Moving Average (MSARIMA) and Holt-Winters Multiplicative Exponential Smoothing (ES) for seasonally unadjusted monthly data spanning from April 2000 to February 2007. In-sample forecasting reveals that the MSARIMA model outperforms the ES model in terms of lower root mean square error, mean absolute error and mean absolute percent error criteria. It has been found that ARIMA (2, 0, 0) (0, 1, 1)12 is the best fitted model to explain the monthly peak demand of electricity, which has been used to forecast the monthly peak demand of electricity in northern India, 15 months ahead from February 2007. This will help Northern Regional Load Dispatch Centre to make necessary arrangements a priori to meet the future peak demand.

Sajal Ghosh

2008-01-01T23:59:59.000Z

170

Risk-based bidding of large electric utilities using Information Gap Decision Theory considering demand response  

Science Journals Connector (OSTI)

Abstract The present study presents a new risk-constrained bidding strategy formulation of large electric utilities in, presence of demand response programs. The considered electric utility consists of generation facilities, along with a retailer part, which is responsible for supplying associated demands. The total profit of utility comes from participating in day-ahead energy markets and selling energy to corresponding consumers via retailer part. Different uncertainties, such as market price, affect the profit of the utility. Therefore, here, attempts are made to make use of Information Gap Decision Theory (IGDT) to obtain a robust scheduling method against the unfavorable deviations of the market prices. Implementing demand response programs sounds attractive for the consumers through providing some incentives in one hand, and it improves the risk hedging capability of the utility on the other hand. The proposed method is applied to a test system and effect of demand response programs is investigated on the total profit of the utility.

M. Kazemi; B. Mohammadi-Ivatloo; M. Ehsan

2014-01-01T23:59:59.000Z

171

Annual Energy Outlook with Projections to 2025-Market Trends - Coal  

Gasoline and Diesel Fuel Update (EIA)

Coal Coal Index (click to jump links) Coal Production and Prices Coal Mining Labor Productivity Coal Consumption Coal Production and Prices Emissions Caps Lead to More Use of Low-Sulfur Coal From Western Mines Continued improvements in mine productivity (which have averaged 5.9 percent per year since 1980) are projected to cause falling real minemouth prices throughout the forecast relative to historical levels. Higher electricity demand and lower prices, in turn, are projected to yield increasing coal demand, but the demand is subject to the overall sulfur emissions cap in the Clean Air Act Amendments of 1990, which encourages progressively greater reliance on the lowest sulfur coals (from Wyoming, Montana, Colorado, and Utah). Figure 106. Coal production by region, 1970-2025 (million short tons). Having problems, call our National Energy Information Center at 202-586-8800 for help.

172

Rail Coal Transportation Rates to the Electric Power Sector  

Annual Energy Outlook 2012 (EIA)

well as other details about the shipment. A waybill can include one or more cars and a train can include one or more waybills. Unlike most other reports with coal transportation...

173

Coal Transportation Rates to the Electric Power Sector  

Gasoline and Diesel Fuel Update (EIA)

Survey data. Each plant receiving CAPP or PRB coal in 2007 and 2010 were mapped and their data used to estimate costs for other cells by interpolating values based on inverse...

174

Production of Hydrogen and Electricity from Coal with CO2 Capture  

E-Print Network (OSTI)

fuels · H2 (and CO2) distribution · H2 utilization (e.g. fuel cells, combustion) · Princeton energy carriers are needed: electricity and hydrogen. · If CO2 sequestration is viable, fossil fuel1 Production of Hydrogen and Electricity from Coal with CO2 Capture Princeton University: Tom

175

Automated Demand Response: The Missing Link in the Electricity Value Chain  

SciTech Connect

In 2006, the Public Interest Energy Research Program (PIER) Demand Response Research Center (DRRC) at Lawrence Berkeley National Laboratory initiated research into Automated Demand Response (OpenADR) applications in California industry. The goal is to improve electric grid reliability and lower electricity use during periods of peak demand. The purpose of this research is to begin to define the relationship among a portfolio of actions that industrial facilities can undertake relative to their electricity use. This ?electricity value chain? defines energy management and demand response (DR) at six levels of service, distinguished by the magnitude, type, and rapidity of response. One element in the electricity supply chain is OpenADR, an open-standards based communications system to send signals to customers to allow them to manage their electric demand in response to supply conditions, such as prices or reliability, through a set of standard, open communications. Initial DRRC research suggests that industrial facilities that have undertaken energy efficiency measures are probably more, not less, likely to initiate other actions within this value chain such as daily load management and demand response. Moreover, OpenADR appears to afford some facilities the opportunity to develop the supporting control structure and to"demo" potential reductions in energy use that can later be applied to either more effective load management or a permanent reduction in use via energy efficiency. Under the right conditions, some types of industrial facilities can shift or shed loads, without any, or minimal disruption to operations, to protect their energy supply reliability and to take advantage of financial incentives.1 In 2007 and 2008, 35 industrial facilities agreed to implement OpenADR, representing a total capacity of nearly 40 MW. This paper describes how integrated or centralized demand management and system-level network controls are linked to OpenADR systems. Case studies of refrigerated warehouses and wastewater treatment facilities are used to illustrate OpenADR load reduction potential. Typical shed and shift strategies include: turning off or operating compressors, aerator blowers and pumps at reduced capacity, increasing temperature set-points or pre-cooling cold storage areas and over-oxygenating stored wastewater prior to a DR event. This study concludes that understanding industrial end-use processes and control capabilities is a key to support reduced service during DR events and these capabilities, if DR enabled, hold significant promise in reducing the electricity demand of the industrial sector during utility peak periods.

McKane, Aimee; Rhyne, Ivin; Lekov, Alex; Thompson, Lisa; Piette, MaryAnn

2009-08-01T23:59:59.000Z

176

Construction Begins on First-of-its-Kind Advanced Clean Coal Electric  

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

Construction Begins on First-of-its-Kind Advanced Clean Coal Construction Begins on First-of-its-Kind Advanced Clean Coal Electric Generating Facility Construction Begins on First-of-its-Kind Advanced Clean Coal Electric Generating Facility September 10, 2007 - 3:16pm Addthis ORLANDO, Fla. - Officials representing the U.S. Department of Energy (DOE), Southern Company, KBR Inc. and the Orlando Utilities Commission (OUC) today broke ground to begin construction of an advanced 285-megawatt integrated gasification combined cycle (IGCC) facility near Orlando, Fla. The new generating station will be among the cleanest, most efficient coal-fueled power plants in the world. Southern Company will operate the facility through its Southern Power subsidiary, which builds, owns, and manages the company's competitive generation assets. It will be located at OUC's Stanton Energy Center in

177

A demand responsive bidding mechanism with price elasticity matrix in wholesale electricity pools ; A demand responsive bidding mechanism with price elasticity matrix .  

E-Print Network (OSTI)

??In the past several decades, many demand-side participation features have been applied in the electricity power systems. These features, such as distributed generation, on-site storage (more)

Wang, Jiankang, Ph. D. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

178

"Table A25. Components of Total Electricity Demand by Census Region, Census Division, Industry"  

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

Components of Total Electricity Demand by Census Region, Census Division, Industry" Components of Total Electricity Demand by Census Region, Census Division, Industry" " Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Group and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

179

Statewide Electricity and Demand Capacity Savings from the Implementation of IECC Code in Texas: Analysis for Single-Family Residences  

E-Print Network (OSTI)

STATEWIDE ELECTRICITY AND DEMAND CAPACITY SAVINGS FROM THE IMPLEMENTATION OF IECC CODE IN TEXAS: ANALYSIS FOR SINGLE?FAMILY RESIDENCES 11th International Conference for Enhanced Building Operations New York City, October 18 ? 20, 2011 Hyojin...&M University System Statewide Electricity and Demand Savings from the IECC Code in TX 11th ICEBO Conference Oct. 18 ? 20, 2011 2 Outline Introduction Methodology Base?Case Building Results Summary Statewide Electricity and Demand Savings from the IECC...

Kim, H.; Baltazar, J.C.; Haberl, J.; Lewis, C.; Yazdani, B.

2011-01-01T23:59:59.000Z

180

Polygeneration of Liquid Fuels and Electricity by the Atmospheric Pressure Hybrid Solar Gasification of Coal  

Science Journals Connector (OSTI)

(16, 17, 29, 30) The technical viability of the atmospheric pressure, windowed solar vortex reactor to gasify petroleum coke (petcoke) has been demonstrated on a small scale,(16, 29, 31) and a 300 kW pilot scale reactor has also been tested successfully. ... Inputs to the reactor were the model coal (as discussed above), nitrogen used for the carrier gas for the coal feed, steam used as a gasifying agent, and oxygen that is needed when ? gas turbine for electricity generation. ...

Ashok A. Kaniyal; Philip J. van Eyk; Graham J. Nathan; Peter J. Ashman; Jonathan J. Pincus

2013-05-20T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

Coordinating Regulation and Demand Response in Electric Power Grids: Direct and Price-Based Tracking Using Multirate Economic Model Predictive Control  

Science Journals Connector (OSTI)

?Based on Coordinating regulation and demand response in electric power grids using multirate model...

Haitham Hindi; Daniel Greene

2012-01-01T23:59:59.000Z

182

Further exploring the potential of residential demand response programs in electricity distribution  

Science Journals Connector (OSTI)

Abstract Smart grids play a key role in realizing climate ambitions. Boosting consumption flexibility is an essential measure in bringing the potential gains of smart grids to fruition. The collective scientific understanding of demand response programs argues that time-of-use tariffs have proven its merits. The findings upon which this conclusion rests are, however, primarily derived from studies covering energy-based time-of-use rates over fairly short periods of time. Hence, this empirical study set out with the intention of estimating the extent of response to a demand-based time-of-use electricity distribution tariff among Swedish single-family homes in the long term. The results show that six years after the implementation households still respond to the price signals of the tariff by cutting demand in peak hours and shifting electricity consumption from peak to off-peak hours. Studies conducted in the Nordic countries commonly include only homeowners and so another aim of the study was to explore the potential of demand response programs among households living in apartment buildings. The demand-based tariff proved to bring about similar, but not as marked, effects in rental apartments, whereas there are virtually no corresponding evidences of demand response in condominium apartments.

Cajsa Bartusch; Karin Alvehag

2014-01-01T23:59:59.000Z

183

Long-term electricity demand forecasting for power system planning using economic, demographic and climatic variables  

Science Journals Connector (OSTI)

The stochastic planning of power production overcomes the drawback of deterministic models by accounting for uncertainties in the parameters. Such planning accounts for demand uncertainties by using scenario sets and probability distributions. However, in previous literature, different scenarios were developed by either assigning arbitrary values or assuming certain percentages above or below a deterministic demand. Using forecasting techniques, reliable demand data can be obtained and inputted to the scenario set. This article focuses on the long-term forecasting of electricity demand using autoregressive, simple linear and multiple linear regression models. The resulting models using different forecasting techniques are compared through a number of statistical measures and the most accurate model was selected. Using Ontario's electricity demand as a case study, the annual energy, peak load and base load demand were forecasted up to the year 2025. In order to generate different scenarios, different ranges in the economic, demographic and climatic variables were used. [Received 16 October 2007; Revised 31 May 2008; Revised 25 October 2008; Accepted 1 November 2008

F. Chui; A. Elkamel; R. Surit; E. Croiset; P.L. Douglas

2009-01-01T23:59:59.000Z

184

Univariate forecasting of day-ahead hourly electricity demand in the northern grid of India  

Science Journals Connector (OSTI)

Short-term electricity demand forecasts (minutes to several hours ahead) have become increasingly important since the rise of the competitive energy markets. The issue is particularly important for India as it has recently set up a power exchange (PX), which has been operating on day-ahead hourly basis. In this study, an attempt has been made to forecast day-ahead hourly demand of electricity in the northern grid of India using univariate time-series forecasting techniques namely multiplicative seasonal ARIMA and Holt-Winters multiplicative exponential smoothing (ES). In-sample forecasts reveal that ARIMA models, except in one case, outperform ES models in terms of lower RMSE, MAE and MAPE criteria. We may conclude that linear time-series models works well to explain day-ahead hourly demand forecasts in the northern grid of India. The findings of the study will immensely help the players in the upcoming power market in India.

Sajal Ghosh

2009-01-01T23:59:59.000Z

185

Demand Reduction  

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

Grantees may use funds to coordinate with electricity supply companies and utilities to reduce energy demands on their power systems. These demand reduction programs are usually coordinated through...

186

Statewide Electricity and Demand Capacity Savings from the Implementation of IECC Code in Texas: Analysis for Single-Family Residences  

E-Print Network (OSTI)

This paper presents estimates of the statewide electricity and electric demand savings achieved from the adoption of the International Energy Conservation Code (IECC) for single-family residences in Texas and includes the corresponding increase...

Kim, H.; Baltazar, J.C.; Haberl, J.

2011-01-01T23:59:59.000Z

187

Industrial-Load-Shaping: The Practice of and Prospects for Utility/Industry Cooperation to Manage Peak Electricity Demand  

E-Print Network (OSTI)

INDUSTRIAL-LOAD-SHAPI1IG: TIlE PRACTICE OF AND PROSPECTS FOR UTILITY/INDUSTRY COOPERATION TO MAUGE PEAK ELECTRICITY DEMAND Donald J. BuIes and David E. Rubin Consultants, Pacific Gas and Electric Company San Francisco, California Michael F.... Maniates Energy and Resources Group, University of California Berkeley, California ABSTRACT Load-management programs designed to reduce demand for electricity during peak periods are becoming increasingly important to electric utilities. For a gf...

Bules, D. J.; Rubin, D. E.; Maniates, M. F.

188

Toward Novel Hybrid Biomass, Coal, and Natural Gas Processes for Satisfying Current Transportation Fuel Demands, 1: Process Alternatives, Gasification Modeling, Process Simulation, and Economic Analysis  

Science Journals Connector (OSTI)

Toward Novel Hybrid Biomass, Coal, and Natural Gas Processes for Satisfying Current Transportation Fuel Demands, 1: Process Alternatives, Gasification Modeling, Process Simulation, and Economic Analysis ... This paper, which is the first part of a series of papers, introduces a hybrid coal, biomass, and natural gas to liquids (CBGTL) process that can produce transportation fuels in ratios consistent with current U.S. transportation fuel demands. ... Steady-state process simulation results based on Aspen Plus are presented for the seven process alternatives with a detailed economic analysis performed using the Aspen Process Economic Analyzer and unit cost functions obtained from literature. ...

Richard C. Baliban; Josephine A. Elia; Christodoulos A. Floudas

2010-07-19T23:59:59.000Z

189

The Impact of Energy Efficiency and Demand Response Programs on the U.S. Electricity Market  

SciTech Connect

This study analyzes the impact of the energy efficiency (EE) and demand response (DR) programs on the grid and the consequent level of production. Changes in demand caused by EE and DR programs affect not only the dispatch of existing plants and new generation technologies, the retirements of old plants, and the finances of the market. To find the new equilibrium in the market, we use the Oak Ridge Competitive Electricity Dispatch Model (ORCED) developed to simulate the operations and costs of regional power markets depending on various factors including fuel prices, initial mix of generation capacity, and customer response to electricity prices. In ORCED, over 19,000 plant units in the nation are aggregated into up to 200 plant groups per region. Then, ORCED dispatches the power plant groups in each region to meet the electricity demands for a given year up to 2035. In our analysis, we show various demand, supply, and dispatch patterns affected by EE and DR programs across regions.

Baek, Young Sun [ORNL; Hadley, Stanton W [ORNL

2012-01-01T23:59:59.000Z

190

Historical Costs of Coal-Fired Electricity and Implications for the Future  

E-Print Network (OSTI)

We study the costs of coal-fired electricity in the United States between 1882 and 2006 by decomposing it in terms of the price of coal, transportation costs, energy density, thermal efficiency, plant construction cost, interest rate, and capacity factor. The dominant determinants of costs at present are the price of coal and plant construction cost. The price of coal appears to fluctuate more or less randomly while the construction cost follows long-term trends, decreasing from 1902 - 1970, increasing from 1970 - 1990, and leveling off or decreasing a little since then. This leads us to forecast that even without carbon capture and storage, and even under an optimistic scenario in which construction costs resume their previously decreasing trending behavior, the cost of coal-based electricity will drop for a while but eventually be determined by the price of coal, which varies stochastically but shows no long term decreasing trends. Our analysis emphasizes the importance of using long time series and compari...

McNerney, James; Farmer, J Doyne

2010-01-01T23:59:59.000Z

191

Demand-response (DR) programs, in which facilities reduce their electric loads in response to a utility signal, represent a  

E-Print Network (OSTI)

The Issue Demand-response (DR) programs, in which facilities reduce their electric loads (Figure 1). The testing covered four Lighting the Way to Demand ResponseLighting the Way to Demand Response California Energy Commission's Public Interest Energy Research Program Technical Brief PIER

192

Integrating Demand into the U.S. Electric Power System: Technical, Economic, and Regulatory Frameworks for Responsive Load  

E-Print Network (OSTI)

for Responsive/Adaptive Load by Jason W. Black Massachusetts Institute of Technology Submitted to the Engineering integration of demand response. Integrating demand into the US electricity system will allow the development, and market issues to determine a system structure that provides incentives for demand response. An integrated

de Weck, Olivier L.

193

Carbon Dioxide Capture Technology for the Coal-Powered Electricity Industry: A Systematic Prioritization of Research Needs  

E-Print Network (OSTI)

Carbon Dioxide Capture Technology for the Coal-Powered Electricity Industry: A Systematic and Policy Program #12;- 2 - #12;Carbon Dioxide Capture Technology for the Coal-Powered Electricity Industry must be developed for capturing CO2 from power plants. Current CO2 capture technology is expensive

194

Multicriteria decision making in electricity demand management: the case of Kuwait  

Science Journals Connector (OSTI)

Electricity demand in Kuwait has substantially increased over the years and this increase is attributed to population growth, increase in the number of buildings, and the extensive use of air-conditioning system during the very hot weather in the summer. The amount of electrical energy generated reached 48 444 308 megawatt hour (MWH) in 2007. Such growth calls for extensive investment in the continuous expansion of the existing power plants and constructing new ones. To rationalise the consumption of electricity, several conservation policies have to be implemented. In this work, we have attempted to diagnose such problem and solicit expert opinions in order to provide the proper remedies. Because the problem comprises several criteria that are subjective in nature, multicriteria decision-making approaches were suggested. The Analytical Hierarchy Process (AHP) was used as a decision tool to assess the different policies that could be used to bring about electricity conservation.

Mohammed Hajeeh

2010-01-01T23:59:59.000Z

195

A Preliminary Examination of the Supply and Demand Balance for Renewable Electricity  

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

A Preliminary Examination A Preliminary Examination of the Supply and Demand Balance for Renewable Electricity Blair Swezey, Jørn Aabakken, and Lori Bird Technical Report NREL/TP-670-42266 October 2007 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 A Preliminary Examination of the Supply and Demand Balance for Renewable Electricity Blair Swezey, Jørn Aabakken, and Lori Bird Prepared under Task No. WF6N.1015 Technical Report NREL/TP-670-42266 October 2007 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle

196

Demand side management of electric car charging: Benefits for consumer and grid  

Science Journals Connector (OSTI)

Ireland is currently striving to source 10% of the energy required for its transport fleet from renewable energy sources by 2020. As part of the measures being implemented in order to help realise this ambitious target a number of Government schemes have been introduced to financially subsidise the purchase of alternative energy vehicles in an effort to achieve 10% EV (electric vehicle) penetration in the country's road fleet by 2020. The replacement of ICE (internal combustion engine) vehicles with EV equivalents poses challenges for grid operators while simultaneously offering opportunities in terms of distributed energy storage and flexible load. This paper examines how optimising the charging cycles of an electric car using DSM (Demand Side Management) based on a number of criteria could be used to achieve financial savings, increased demand on renewable energy, reduce demand on thermal generation plant, and reduce peak load demand. The results demonstrate that significant gains can be achieved using currently available market data which highlights the point that DSM can be implemented without any further technological advents.

P. Finn; C. Fitzpatrick; D. Connolly

2012-01-01T23:59:59.000Z

197

High Electric Demand Days: Clean Energy Strategies for Improving Air Quality  

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

This presentation by Art Diem of the State and Local Capacity Building Branch in the U.S. Environmental Protection Agency was part of the July 2008 Webcast sponsored by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Weatherization and Intergovernmental Program Clean Energy and Air Quality Integration Initiative that was titled Role of Energy Efficiency and Renewable Energy in Improving Air Quality and Addressing Greenhouse Gas Reduction Goals on High Electric Demand Days.

198

PRODUCTION OF HYDROGEN AND ELECTRICITY FROM COAL WITH CO2 CAPTURE  

E-Print Network (OSTI)

gasification, quench cooled and shifted to (pri- marily) H2 and CO2 via sulfur-tolerant water-gas shift (WGS with sulfur-bearing waste gases, H2S and SO2. I. INTRODUCTION Carbon-free energy carriers, H2 and electricity relative abundance, high carbon intensity, and low cost. Coal-to-H2 plants based on gasification have been

199

Future Impacts of Coal Distribution Constraints on Coal Cost  

E-Print Network (OSTI)

transportation component of coal price should also increase;investment. Coal costs and prices are functions of a numberto forecast coal demand, supply, and prices from now to

McCollum, David L

2007-01-01T23:59:59.000Z

200

An integrated assessment of global and regional water demands for electricity generation to 2095  

SciTech Connect

Electric power plants currently account for approximately one-half of the global industrial water withdrawal. While continued expansion of the electric sector seems likely into the future, the consequent water demands are quite uncertain, and will depend on highly variable water intensities by electricity technologies, at present and in the future. Using GCAM, an integrated assessment model of energy, agriculture, and climate change, we first establish lower-bound, median, and upper-bound estimates for present-day electric sector water withdrawals and consumption by individual electric generation technologies in each of 14 geopolitical regions, and compare them with available estimates of regional industrial or electric sector water use. We then explore the evolution of global and regional electric sector water use over the next century, focusing on uncertainties related to withdrawal and consumption intensities for a variety of electric generation technologies, rates of change of power plant cooling system types, and rates of adoption of a suite of water-saving technologies. Results reveal that the water withdrawal intensity of electricity generation is likely to decrease in the near term with capital stock turnover, as wet towers replace once-through flow cooling systems and advanced electricity generation technologies replace conventional ones. An increase in consumptive use accompanies the decrease in water withdrawal rates; however, a suite of water conservation technologies currently under development could compensate for this increase in consumption. Finally, at a regional scale, water use characteristics vary significantly based on characteristics of the existing capital stock and the selection of electricity generation technologies into the future.

Davies, Evan; Kyle, G. Page; Edmonds, James A.

2013-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of  

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

Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year ActualWeather Data Title A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year ActualWeather Data Publication Type Journal Year of Publication 2013 Authors Hong, Tianzhen, Wen-Kuei Chang, and Hung-Wen Lin Keywords Actual meteorological year, Building simulation, Energy use, Peak electricity demand, Typical meteorological year, Weather data Abstract Buildings consume more than one third of the world's total primary energy. Weather plays a unique and significant role as it directly affects the thermal loads and thus energy performance of buildings. The traditional simulated energy performance using Typical Meteorological Year (TMY) weather data represents the building performance for a typical year, but not necessarily the average or typical long-term performance as buildings with different energy systems and designs respond differently to weather changes. Furthermore, the single-year TMY simulations do not provide a range of results that capture yearly variations due to changing weather, which is important for building energy management, and for performing risk assessments of energy efficiency investments. This paper employs large-scale building simulation (a total of 3162 runs) to study the weather impact on peak electricity demand and energy use with the 30-year (1980 to 2009) Actual Meteorological Year (AMY) weather data for three types of office buildings at two design efficiency levels, across all 17 ASHRAE climate zones. The simulated results using the AMY data are compared to those from the TMY3 data to determine and analyze the differences. Besides further demonstration, as done by other studies, that actual weather has a significant impact on both the peak electricity demand and energy use of buildings, the main findings from the current study include: 1) annual weather variation has a greater impact on the peak electricity demand than it does on energy use in buildings; 2) the simulated energy use using the TMY3 weather data is not necessarily representative of the average energy use over a long period, and the TMY3 results can be significantly higher or lower than those from the AMY data; 3) the weather impact is greater for buildings in colder climates than warmer climates; 4) the weather impact on the medium-sized office building was the greatest, followed by the large office and then the small office; and 5) simulated energy savings and peak demand reduction by energy conservation measures using the TMY3 weather data can be significantly underestimated or overestimated. It is crucial to run multi-decade simulations with AMY weather data to fully assess the impact of weather on the long-term performance of buildings, and to evaluate the energy savings potential of energy conservation measures for new and existing buildings from a life cycle perspective.

202

Sixth Northwest Conservation and Electric Power Plan Chapter 3: Electricity Demand Forecast  

E-Print Network (OSTI)

at a relatively slow pace, custom data centers (Google, etc.) are a relatively new end-use that has been seeing................................................................................................................... 7 Alternative Load Forecast Concepts been influenced by expected higher electricity prices that reflect a rapid rise in fuel prices

203

Statewide Emissions Reduction, Electricity and Demand Savings from the Implementation of Building-Energy-Codes in Texas  

E-Print Network (OSTI)

to the calculations. To estimate electric demand savings, the calculated statewide electric demand savings (MW) were then multiplied by the average capital cost of a natural gas combined cycle power plant, $1,165 per kW (Kaplan, 2008) using a 15% reserve margin... (Simulation adjustment3: Heating 72F, Cooling 75F) (b) Heat Pump House: 0.904 360 0.88 kW (Simulation adjustment3: 1.095 kW) HVAC System Type (a) Electric/Gas House: 0.594 (a) Electric/Gas House: 0.544 SLA= 0.00036 (a) Electric/Gas House: SEER 13...

Yazdani, B.; Haberl, J.; Kim, H.; Baltazar, J.C.; Zilbershtein, G.

2012-01-01T23:59:59.000Z

204

Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed Internet Data Centers  

E-Print Network (OSTI)

Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed a major part of their running costs. Modern electric power grid provides a feasible way to dynamically and efficiently manage the electricity cost of distributed IDCs based on the Locational Marginal Pricing (LMP

Rahman, A.K.M. Ashikur

205

Energy Policy Act transportation rate study: Interim report on coal transportation  

SciTech Connect

The primary purpose of this report is to examine changes in domestic coal distribution and railroad coal transportation rates since enactment of the Clean Air Act Amendments of 1990 (CAAA90). From 1988 through 1993, the demand for low-sulfur coal increased, as a the 1995 deadline for compliance with Phase 1 of CAAA90 approached. The shift toward low-sulfur coal came sooner than had been generally expected because many electric utilities switched early from high-sulfur coal to ``compliance`` (very low-sulfur) coal. They did so to accumulate emissions allowances that could be used to meet the stricter Phase 2 requirements. Thus, the demand for compliance coal increased the most. The report describes coal distribution and sulfur content, railroad coal transportation and transportation rates, and electric utility contract coal transportation trends from 1979 to 1993 including national trends, regional comparisons, distribution patterns and regional profiles. 14 figs., 76 tabs.

NONE

1995-10-01T23:59:59.000Z

206

Coal Study Guide for Elementary School  

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

Focuses on the basics of coal, history of coal use, conversion of coal into electricity, and climate change concerns.

207

1 - Social and economic value of coal  

Science Journals Connector (OSTI)

Abstract: As the worlds leading source of electric power, coal is the continuing cornerstone of economic development, social progress, and a higher quality of life. Coal is powering the twenty-first century economic miracles rapidly unfolding in China and India, as reliability, affordability, and availability make coal the fuel of choice in the developing world. Demand modeling from both the International Energy Agency and US Energy Information Administration indicates that coal will provide the most amount of incremental energy over the next two decades. Looking forward, with the expanding implementation of clean coal technologies, the door to coals global leadership role will remain open as the world strives to meet the ever-rising demand for energy while reducing greenhouse gas emissions.

J. Clemente; F. Clemente

2013-01-01T23:59:59.000Z

208

Integrating demand into the U.S. electric power system : technical, economic, and regulatory frameworks for responsive load  

E-Print Network (OSTI)

The electric power system in the US developed with the assumption of exogenous, inelastic demand. The resulting evolution of the power system reinforced this assumption as nearly all controls, monitors, and feedbacks were ...

Black, Jason W. (Jason Wayne)

2005-01-01T23:59:59.000Z

209

Electricity demand-side management for an energy efficient future in China : technology options and policy priorities  

E-Print Network (OSTI)

The main objective of this research is to identify robust technology and policy options which achieve substantial reductions in electricity demand in China's Shandong Province. This research utilizes a scenario-based ...

Cheng, Chia-Chin

2005-01-01T23:59:59.000Z

210

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network (OSTI)

Laboratory. Berkeley. Demand Response Research Center,and Automated Demand Response in Wastewater TreatmentLaboratory. Berkeley. Demand Response Research Center,

McKane, Aimee

2010-01-01T23:59:59.000Z

211

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network (OSTI)

and Open Automated Demand Response. In Grid Interop Forum.Berkeley National Laboratory. Demand Response ResearchCenter, Demand Response Research Center PIER Team Briefing,

McKane, Aimee

2010-01-01T23:59:59.000Z

212

Quantifying Changes in Building Electricity Use, with Application to Demand Response  

E-Print Network (OSTI)

and techniques for demand response, Lawrence BerkeleyNational action plan on demand response, Prepared with the3] G. He?ner, Demand response valuation frameworks paper,

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

213

Load-side Demand Management in Buildings usingControlled Electric Springs  

E-Print Network (OSTI)

The concept of demand-side management for electricand simulation of demand-side management potential in urbanin smart grids, demand side management has been a keen topic

Soni, Jayantika; Krishnanand, KR; Panda, Sanjib

2014-01-01T23:59:59.000Z

214

LBNL-6280E A Fresh Look at Weather Impact on Peak Electricity Demand and  

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

280E 280E A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30- Year Actual Weather Data Tianzhen Hong 1 , Wen-kuei Chang 2 , Hung-Wen Lin 2 1 Environmental Energy Technologies Division 2 Green Energy and Environment Laboratories, Industrial Technology Research Institute, Taiwan, ROC May 2013 This work was supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, the U.S.-China Clean Energy Research Center for Building Energy Efficiency, of the U.S. Department of Energy under Contract No. DE-AC02-

215

SmartCap: Flattening Peak Electricity Demand in Smart Homes Sean Barker, Aditya Mishra, David Irwin, Prashant Shenoy, and Jeannie Albrecht  

E-Print Network (OSTI)

SmartCap: Flattening Peak Electricity Demand in Smart Homes Sean Barker, Aditya Mishra, David Irwin--Flattening household electricity demand reduces generation costs, since costs are disproportionately affected by peak demands. While the vast majority of household electrical loads are interactive and have little scheduling

Massachusetts at Amherst, University of

216

Carbon dioxide capture technology for the coal-powered electricity industry : a systematic prioritization of research needs  

E-Print Network (OSTI)

Coal is widely relied upon as a fuel for electric power generation, and pressure is increasing to limit emissions of the CO2 produced during its combustion because of concerns over climate change. In order to continue the ...

Esber, George Salem, III

2006-01-01T23:59:59.000Z

217

Chapter 21 - Case Study: Demand-Response and Alternative Technologies inElectricity Markets  

Science Journals Connector (OSTI)

Abstract The PJM wholesale electricity market has evolved to promote open competition between existing generation resources, new generation resources, demand-response, and alternative technologies to supply services to support reliable power grid operations. PJM has adapted market rules and procedures to accommodate smaller alternative resources while maintaining and enhancing stringent reliability standards for grid operation. Although the supply resource mix has tended to be less operationally flexible, the development of smart grid technologies, breakthroughs in storage technologies, microgrid applications, distributed supply resources, and smart metering infrastructure have the potential to make power transmission, distribution, and consumption more flexible than in the past. Competitive market signals in forward capacity markets and grid service markets have resulted in substantial investment in demand-response and alternative technologies to provide reliability services to the grid operator. This chapter discusses these trends and the market mechanisms by which both system and market operators can manage and leverage these changes to maintain the reliability of the bulk electric power system.

Andrew Ott

2014-01-01T23:59:59.000Z

218

Modeling of Electric Water Heaters for Demand Response: A Baseline PDE Model  

SciTech Connect

Demand response (DR)control can effectively relieve balancing and frequency regulation burdens on conventional generators, facilitate integrating more renewable energy, and reduce generation and transmission investments needed to meet peak demands. Electric water heaters (EWHs) have a great potential in implementing DR control strategies because: (a) the EWH power consumption has a high correlation with daily load patterns; (b) they constitute a significant percentage of domestic electrical load; (c) the heating element is a resistor, without reactive power consumption; and (d) they can be used as energy storage devices when needed. Accurately modeling the dynamic behavior of EWHs is essential for designing DR controls. Various water heater models, simplified to different extents, were published in the literature; however, few of them were validated against field measurements, which may result in inaccuracy when implementing DR controls. In this paper, a partial differential equation physics-based model, developed to capture detailed temperature profiles at different tank locations, is validated against field test data for more than 10 days. The developed model shows very good performance in capturing water thermal dynamics for benchmark testing purposes

Xu, Zhijie; Diao, Ruisheng; Lu, Shuai; Lian, Jianming; Zhang, Yu

2014-09-05T23:59:59.000Z

219

Life Cycle Greenhouse Gas Emissions of Coal-Fired Electricity Generation: Systematic Review and Harmonization  

SciTech Connect

This systematic review and harmonization of life cycle assessments (LCAs) of utility-scale coal-fired electricity generation systems focuses on reducing variability and clarifying central tendencies in estimates of life cycle greenhouse gas (GHG) emissions. Screening 270 references for quality LCA methods, transparency, and completeness yielded 53 that reported 164 estimates of life cycle GHG emissions. These estimates for subcritical pulverized, integrated gasification combined cycle, fluidized bed, and supercritical pulverized coal combustion technologies vary from 675 to 1,689 grams CO{sub 2}-equivalent per kilowatt-hour (g CO{sub 2}-eq/kWh) (interquartile range [IQR]= 890-1,130 g CO{sub 2}-eq/kWh; median = 1,001) leading to confusion over reasonable estimates of life cycle GHG emissions from coal-fired electricity generation. By adjusting published estimates to common gross system boundaries and consistent values for key operational input parameters (most importantly, combustion carbon dioxide emission factor [CEF]), the meta-analytical process called harmonization clarifies the existing literature in ways useful for decision makers and analysts by significantly reducing the variability of estimates ({approx}53% in IQR magnitude) while maintaining a nearly constant central tendency ({approx}2.2% in median). Life cycle GHG emissions of a specific power plant depend on many factors and can differ from the generic estimates generated by the harmonization approach, but the tightness of distribution of harmonized estimates across several key coal combustion technologies implies, for some purposes, first-order estimates of life cycle GHG emissions could be based on knowledge of the technology type, coal mine emissions, thermal efficiency, and CEF alone without requiring full LCAs. Areas where new research is necessary to ensure accuracy are also discussed.

Whitaker, M.; Heath, G. A.; O'Donoughue, P.; Vorum, M.

2012-04-01T23:59:59.000Z

220

ENERGY UTILIZATION AND ENVIRONMENTAL CONTROL TECHNOLOGIES IN THE COAL-ELECTRIC CYCLE  

E-Print Network (OSTI)

application (coal gasification, coal combustion followed byversions of advanced gasification processes show promise ofFixed-Bed Low-Btu Coal Gasification Systems for Retrofitting

Ferrell, G.C.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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 UTILIZATION AND ENVIRONMENTAL CONTROL TECHNOLOGIES IN THE COAL-ELECTRIC CYCLE  

E-Print Network (OSTI)

May, 1975. "Economic Analysis of Coal Supply: An Assessmentthe economic and technical feasibility of coal-pyritereview of other economic studies of coal supply (20,21). The

Ferrell, G.C.

2010-01-01T23:59:59.000Z

222

Annual Coal Report - Energy Information Administration  

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

Annual Coal Report Annual Coal Report Release Date: December 12, 2013 | Next Release Date: November 2014 | full report Previous Annual Coal / Coal Industry Annual Reports historical data (PDF): 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 before 2001 Industry Annual 2000 1999 1998 1997 1996 1995 1994 Go The Annual Coal Report (ACR) provides annual data on U.S. coal production, number of mines, productive capacity, recoverable reserves, employment, productivity, consumption, stocks, and prices. All data for 2012 and prior years are final. Highlights for 2012: U.S. coal production decreased 7.2 percent from 2011, driven by lower electric power sector demand, to roughly 1.02 billion short tons. Productive capacity of U.S. coal mines decreased 3.5 percent to 1.28

223

Abstract--Electrical Distribution Systems (EDS) are facing ever-increasing complexity due to fast growing demand and large  

E-Print Network (OSTI)

operation. As such Electrical Distribution Systems will require new planning strategies and tools, new1 Abstract-- Electrical Distribution Systems (EDS) are facing ever-increasing complexity due to fast growing demand and large amount of distributed energy resources integration. The conventional

Paris-Sud XI, Université de

224

Optimal Tariff Period Determination Cost of electricity generation is closely related to system demand. In general, the  

E-Print Network (OSTI)

Optimal Tariff Period Determination Cost of electricity generation is closely related to system setting is giving signal to customers the time variant cost of supplying electricity. Since the costs demand. In general, the generation cost is higher during system peak period, and vice versa. In Hong Kong

225

ENERGY UTILIZATION AND ENVIRONMENTAL CONTROL TECHNOLOGIES IN THE COAL-ELECTRIC CYCLE  

E-Print Network (OSTI)

also be affected by higher coal prices. II "Current Factors$/year Change in Clean Coal Price, $/ton (FOB Plant) Cost ofcoal production capacities and coal prices. Coal Production

Ferrell, G.C.

2010-01-01T23:59:59.000Z

226

Statewide Electricity and Demand Capacity Savings from the International Energy Conservation Code (IECC) Adoption for Single-Family Residences in Texas (2002-2011)  

E-Print Network (OSTI)

This report is the continuation of the previous 2011 Statewide Electricity Savings report from code-compliant, single-family residences built between 2002 and 2009. Statewide electricity and electric demand savings achieved from the adoption...

Kim, H.; Baltazar, J. C.; Haberl, J. S.; Yazdani, B.

2013-01-01T23:59:59.000Z

227

Electricity demand as frequency controlled reserves, ForskEL (Smart Grid  

Open Energy Info (EERE)

ForskEL (Smart Grid ForskEL (Smart Grid Project) Jump to: navigation, search Project Name Electricity demand as frequency controlled reserves, ForskEL Country Denmark Coordinates 56.26392°, 9.501785° 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":56.26392,"lon":9.501785,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

228

Aspects of the electrical system design of the colmi 660 mw coal-fired power plant  

SciTech Connect

The conceptual design of the electrical systems for Mexico's Commission Federal de Electricidad (CFE) COLMI 660-MW coal-fired power plant builds on Bechtel's experience with nuclear, gas and coal-fired generating plants. The COLMI conceptual design incorporates a combination of new equipment applications and design considerations that make it more economical when compared to traditional alternatives. Also it provides a reliable state-of-the-art distribution system that is flexible enough for any unit in the 400-900 MW range. Alternative approaches were studied for the system design and equipment arrangement. This paper reviews the approach taken to arrive at the conceptual design and describes the equipment selected and the advantages they provide. Exact sizing and determination of characteristics of the equipment are not given because these were not determined during the conceptual design. These will be determined during the detailed design phase of the project.

Aguilar, J. (Bechtel Corp., Norwalk, CA (US)); Fernandez, J.H. (Comision Federal de Electricidad, Mexico, D.F. (MX))

1992-01-01T23:59:59.000Z

229

A fuzzy chance-constrained program for unit commitment problem considering demand response, electric vehicle and wind power  

Science Journals Connector (OSTI)

Abstract As a form of renewable and low-carbon energy resource, wind power is anticipated to play an essential role in the future energy structure. Whereas, its features of time mismatch with power demand and uncertainty pose barriers for the power system to utilize it effectively. Hence, a novel unit commitment model is proposed in this paper considering demand response and electric vehicles, which can promote the exploitation of wind power. On the one hand, demand response and electric vehicles have the feasibility to change the load demand curve to solve the mismatch problem. On the other hand, they can serve as reserve for wind power. To deal with the unit commitment problem, authors use a fuzzy chance-constrained program that takes into account the wind power forecasting errors. The numerical study shows that the model can promote the utilization of wind power evidently, making the power system operation more eco-friendly and economical.

Ning Zhang; Zhaoguang Hu; Xue Han; Jian Zhang; Yuhui Zhou

2015-01-01T23:59:59.000Z

230

Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response  

Science Journals Connector (OSTI)

Abstract The high penetration of both Distributed Energy Resources (DER) and Demand Response (DR) in modern power systems requires a sequence of advanced strategies and technologies for maintaining system reliability and flexibility. Real-time electricity markets (RTM) are the non-discriminatory transaction platforms for providing necessary balancing services, where the market clearing (nodal or zonal prices depending on markets) is very close to real time operations of power systems. One of the primary functions of \\{RTMs\\} in modern power systems is establishing an efficient and effective mechanism for small DER and DR to participate in balancing market transactions, while handling their meteorological or intermittent characteristics, facilitating asset utilization, and stimulating their active responses. Consequently, \\{RTMs\\} are dedicated to maintaining the flexibility and reliability of power systems. This paper reviews advanced typical \\{RTMs\\} respectively in the North America, Australia and Europe, focusing on their market architectures and incentive policies for integrating DER and DR in electricity markets. In this paper, \\{RTMs\\} are classified into three groups: Group I applies nodal prices implemented by optimal power flow, which clears energy prices every 5min. Group II applies zonal prices, with the time resolution of 5-min. Group III is a general balancing market, which clears zonal prices intro-hourly. The various successful advanced RTM experiences have been summarized and discussed, which provides a technical overview of the present \\{RTMs\\} integrating DER and DR.

Qi Wang; Chunyu Zhang; Yi Ding; George Xydis; Jianhui Wang; Jacob stergaard

2015-01-01T23:59:59.000Z

231

Demand-side management in smart grid operation considering electric vehicles load shifting and vehicle-to-grid support  

Science Journals Connector (OSTI)

Abstract Demand fluctuation in electric power systems is undesirable from many points of view; this has sparked an interest in demand-side strategies that try to establish mechanisms that allow for a flatter demand curve. Particularly interesting is load shifting, a strategy that considers the shifting of certain amounts of energy demand from some time periods to other time periods with lower expected demand, typically in response to price signals. In this paper, an optimization-based model is proposed to perform load shifting in the context of smart grids. In our model, we define agents that are responsible for load, generation and storage management; in particular, some of them are electric vehicle aggregators. An important feature of the proposed approach is the inclusion of electric vehicles with vehicle-to-grid capabilities; with this possibility, electric vehicles can provide certain services to the power grid, including load shifting and congestion management. Results are reported for a test system based on the IEEE 37-bus distribution grid; the effectiveness of the approach and the effect of the hourly energy prices on flattening the load curve are shown.

M.A. Lpez; S. de la Torre; S. Martn; J.A. Aguado

2015-01-01T23:59:59.000Z

232

Understanding Chinas electricity market reform from the perspective of the coal-fired power disparity  

Science Journals Connector (OSTI)

Abstract In China, electricity consumption has grown quickly, supply is highly dependent on coal-fired power, and the prices of electricity are determined by the government, which increases the need for reform to enhance efficiency. In response to disputes about Chinas electricity market reform, this paper analyses the efficiency of Chinas coal-fired power plants using the Data Envelopment AnalysisSlack Based Measure (DEA-SBM) method on three levels: groups, provinces, and plants. The results indicate that there are both coal-electricity efficiency disparities and generation-hour arrangement unfairness across groups; the disparity across provinces is obvious and long-lasting, as indicated by capacity surpluses and coal-electricity efficiencies; and the disparities are displayed in detail by the estimation at the plant level. The disparities are primarily caused by the generator combination and generation hour arrangement. Competition may be able to solve the disparities, but a further comparison indicates that competition at the national level will enhance the efficiency to a greater degree than competition at the regional level. These results demonstrate that both competition and a united electricity market are necessary for further electricity market reform.

Dunguo Mou

2014-01-01T23:59:59.000Z

233

Noise emissions from new electric options: Coal conversion and on?site generation  

Science Journals Connector (OSTI)

Two alternatives being considered for reducing the use of imported petroleum are the reconversion of oil?fired electric power plants to burn coal or the construction of small on?site generators which would make use of the waste heat from diesel generators to improve fuel efficiency. In urban areas there may be insufficient distance between the noise sources and residents to act as an acoustical buffer zone to attenuate noise to the local permissible limit. Calculations made during the preparation of environmental impact statements will determine noise abatement requirements either for achieving compliance with local noise limits or for minimizing community annoyance. Several studies were undertaken to provide a noise emission data base for the sound sources associated with both alternatives and to develop procedures for evaluating the effects of environmental noise changes. Noise emissions from two types of coal delivery and handling systems are reviewed since these are expected to be the main sources of noise resulting from coal reconversion of a central power station. Noise emissions from on?site cogenerators which will most likely be diesel engine?generators will be discussed briefly since it was the subject of a prior paper [A. M. Teplitzky and L. N. Miller J. Acoust. Soc. Am. Suppl. 1 67 S87(1980)]. The studies have shown that noise emissions from either alternative are compatible with the urban environment when adequate noise abatement devices are installed.

Allan M. Teplitzky

1981-01-01T23:59:59.000Z

234

Categorization of residential electricity consumption as a basis for the assessment of the impacts of demand response actions  

Science Journals Connector (OSTI)

Abstract In a smart(er) grid context, the existence of dynamic tariffs and bidirectional communications will simultaneously allow and require an active role from the end-user concerning electricity management. However, the residential end-user will not be always available to manage energy resources and decide, based on price signals and preferences/needs, the best response actions to implement or the best usage of the electricity produced locally. Therefore, energy management systems are required to monitor consumption/generation/storage and to make the best decisions according to input signals and the user's needs and preferences. The design of adequate algorithms to be implemented in those systems require the prior characterization of domestic electricity demand and categorization of loads, according to availability, typical usage patterns, working cycles and technical constraints. Automated demand response actions must be tailored and chosen according to this previous analysis of load characteristics. In this paper, a characterization of household electricity consumption is presented and an operational categorization of end-use loads is proposed. The existing potential for demand response to a diversified set of management actions is described and a tool to assess the impact of implementing several actions with different rates of penetration of energy management systems is presented. The results obtained show the potential savings for the end-user and expected changes in the load diagram with a decrease of the aggregated peak electricity demand and a smoothed valley.

Ana Soares; lvaro Gomes; Carlos Henggeler Antunes

2014-01-01T23:59:59.000Z

235

Beyond kWh and kW demand: Understanding the new real-time electric power  

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

Beyond kWh and kW demand: Understanding the new real-time electric power Beyond kWh and kW demand: Understanding the new real-time electric power measurement system in LBNL Building 90 Speaker(s): Alex McEachern Date: January 14, 2010 - 12:00pm Location: 90-3122 In the Summer of 2009, LBNL researchers installed end-use sub-metering equipment and associated Energy Information System (EIS) tools to characterize energy use and comfort in Building 90. Seven of 40 key electric loads were measured using advanced meters that make sophisticated real-time measurements of dozens of power flow parameters, power disturbances, and harmonics. The talk will review some electrical engineering fundamentals, how use and interpret data measured in building 90 in real-time. The real-time data available includes power, volt-amps, VAR's, unbalance voltage and current, voltage and current distortion,

236

ENERGY UTILIZATION AND ENVIRONMENTAL CONTROL TECHNOLOGIES IN THE COAL-ELECTRIC CYCLE  

E-Print Network (OSTI)

sulfur plus 10 to 40% of the coal ash. It also increases theto extract most of the coal ash. Heavy metals are alsotons of scrubber and coal ash sludge per year. By 1980, a

Ferrell, G.C.

2010-01-01T23:59:59.000Z

237

ENERGY UTILIZATION AND ENVIRONMENTAL CONTROL TECHNOLOGIES IN THE COAL-ELECTRIC CYCLE  

E-Print Network (OSTI)

IISolvent Refining for Clean Coal Combustion,1I Walk, R. ,of Equipment (Percent of Clean Coal Produced) Year Type Jigs$1.50-$2.00 per ton of clean coal. In comparison, the cost

Ferrell, G.C.

2010-01-01T23:59:59.000Z

238

Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual  

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

a. Coal Prices to Electric Generating Plants, Projected vs. Actual a. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per million Btu in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1992 1.47 1.48 1.53 1.57 1.58 1.57 1.61 1.63 1.68 1.69 1.70 1.72 1.70 1.76 1.79 1.81 1.88 1.92 AEO 1995 1993 1.39 1.39 1.38 1.40 1.40 1.39 1.39 1.42 1.41 1.43 1.44 1.45 1.46 1.46 1.46 1.47 1.50 AEO 1996 1994 1.32 1.29 1.28 1.27 1.26 1.26 1.25 1.27 1.27 1.27 1.28 1.27 1.28 1.27 1.28 1.26 1.28

239

Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual  

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

b. Coal Prices to Electric Generating Plants, Projected vs. Actual" b. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",1.502753725,1.549729719,1.64272351,1.727259934,1.784039735,1.822135762,1.923203642,2.00781457,2.134768212,2.217425497,2.303725166,2.407715232,2.46134106,2.637086093,2.775389073,2.902293046,3.120364238,3.298013245 "AEO 1995",,1.4212343,1.462640338,1.488780998,1.545300242,1.585877053,1.619428341,1.668671498,1.7584219,1.803937198,1.890547504,1.968695652,2.048913043,2.134750403,2.205281804,2.281690821,2.375434783,2.504830918 "AEO 1996",,,1.346101641,1.350594221,1.369020126,1.391737646,1.421340737,1.458772082,1.496497523,1.561369914,1.619940033,1.674758358,1.749420803,1.800709877,1.871110564,1.924495246,2.006850327,2.048938234,2.156821499

240

Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricing  

Science Journals Connector (OSTI)

Abstract As the installed capacity of wind generation in Ireland continues to increase towards an overall goal of 40% of electricity from renewable sources by 2020, it is inevitable that the frequency of wind curtailment occurrences will increase. Using this otherwise discarded energy by strategically increasing demand at times that would otherwise require curtailment has the potential to reduce the installed capacity of wind required to meet the national 2020 target. Considering two industrial electricity consumers, this study analyses the potential for the implementation of price based demand response by an industrial consumer to increase their proportional use of wind generated electricity by shifting their demand towards times of low prices. Results indicate that while curtailing during peak price times has little or no benefit in terms of wind energy consumption, demand shifting towards low price times is likely to increase a consumers consumption of wind generation by approximately 5.8% for every 10% saved on the consumers average unit price of electricity.

Paddy Finn; Colin Fitzpatrick

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

Report: Impacts of Demand-Side Resources on Electric Transmission Planning  

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

Demand for new transmission can be driven by different factors, including connection of new generation, reliability, economics, environmental policy compliance and replacement of retiring infrastructure. This report assesses the relationship between high levels of demand-side resources (including end-use efficiency, demand response, and distributed generation) and investment in new transmission or utilization of existing transmission.

242

Hydrogen and electricity from coal with carbon dioxide separation using chemical looping reactors  

SciTech Connect

Concern about global climate change has led to research on low CO{sub 2} emission in the process of the energy conversion of fossil fuel. One of the solutions is the conversion of fossil fuel into carbon-free energy carriers, hydrogen, and electricity with CO{sub 2} capture and storage. In this paper, the main purpose is to investigate the thermodynamics performance of converting coal to a hydrogen and electricity system with chemical-looping reactors and to explore the influences of operating parameters on the system performance. Using FeO/Fe{sub 3}O{sub 4} as an oxygen carrier, we propose a carbon-free coproduction system of hydrogen and electricity with chemical-looping reactors. The performance of the new system is simulated using ASPEN PLUS software tool. The influences of the chemical-looping reactor's temperature, steam conversion rate, and O{sub 2}/coal quality ratio on the system performance, and the exergy performance are discussed. The results show that a high-purity of H{sub 2} (99.9%) is reached and that CO{sub 2} can be separated. The system efficiency is 57.85% assuming steam reactor at 815 C and the steam conversion rate 37%. The system efficiency is affected by the steam conversion rate, rising from 53.17 to 58.33% with the increase of the steam conversion rate from 28 to 41%. The exergy efficiency is 54.25% and the losses are mainly in the process of gasification and HRSG. 14 refs., 12 figs., 3 tabs.

Xiang Wenguo; Chen Yingying [Southeast University, Nanjing (China). Key Laboratory of Clean Coal Power Generation and Combustion Technology of Ministry of Education

2007-08-15T23:59:59.000Z

243

Energy and Demand Savings from Implementation Costs in Industrial Facilities  

E-Print Network (OSTI)

, electrical consumption, demand and fees were tracked separately. The remaining data include only one energy stream (e.g., natural gas) in each code [6]. Table 1. Energy Streams STREAM CODE Electrical Consumption EC Electrical Demand ED Other... Electrical Fees EF Electricity E1 Natural Gas E2 L.P.G. E3 #1 Fuel Oil E4 #2 Fuel Oil E5 #4 Fuel Oil E6 #6 Fuel Oil E7 Coal E8 Wood E9 Paper E10 Other Gas E11 Other Energy E12 ESL-IE-00-04-17 Proceedings from the Twenty-second National...

Razinha, J. A.; Heffington, W. M.

244

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network (OSTI)

Missing Link in the Electricity Value Chain Aimee McKane,Missing Link in the Electricity Value Chain Aimee McKane,grid reliability and lower electricity use during periods of

McKane, Aimee

2010-01-01T23:59:59.000Z

245

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network (OSTI)

Missing Link in the Electricity Value Chain Aimee McKane*,Missing Link in the Electricity Value Chain Aimee McKane,grid reliability and lower electricity use during periods of

McKane, Aimee

2010-01-01T23:59:59.000Z

246

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

SciTech Connect

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

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

1993-12-01T23:59:59.000Z

247

Where has Electricity Demand Growth Gon in PJM and What are the...  

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

economic conditions and environmental rules - New entry of combined cycle gas and demand response resources...will there be incentives for continued new entry? * Impending GHG...

248

E-Print Network 3.0 - aggregate electricity demand Sample Search...  

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

Distribution and Plants 11 Nordic TSOs' Action Plans in enhancing and monitoring Demand Response Summary: in Norway (draft) Nordel (2003): Statistical analysis of price response...

249

Time-of-use pricing and electricity demand response: evidence from a sample of Italian industrial customers  

Science Journals Connector (OSTI)

The introduction of real time pricing in many wholesale market as well as the liberalisation process involving the retail market poses the attention over the measurement of demand response to time differentiated price signals. This paper shows an example of how to estimate elasticities of substitution across time using a sample of Italian industrial customers facing time-of-use (TOU) pricing schemes. The model involves the estimation of a nested constant elasticity of substitution (CES) input demand function, which allows estimating substitutability of electricity usage across hourly intervals within a month and across different months.

Graziano Abrate

2008-01-01T23:59:59.000Z

250

Experiment Investigation on Concentration and Mass Flow Measurement of Pulverized Coal Using Electrical Capacitance Tomography  

Science Journals Connector (OSTI)

Accurate measurement of the concentration of pulverized coal in various pipes plays a key role in assuring safe and economic operation in a pulverized coal?fired boiler in the process of combustion. In this paper experimental studies are implemented on the measurement of a lean mass flow in a pneumatic conveying pipeline using electrical capacitance tomography (ECT). In this system a cyclone separator is employed where the sensors are placed in order to compensate the inhomogeneity of the sensor sensitivity. The mass flow rate is determined from the solids velocity and the volumetric concentration. The former is measured by cross?correlating the capacitance fluctuations caused by the conveyed solids and the latter by an image reconstruction method and then this two parameters are combined to give the solids mass flow rate. The distribution of void fraction in radial direction the average void fraction and the wavy characteristics are analyzed. The feasibility and reliability of the method are verified by the experimental results.

J. Liu; M. Sun; X. Y. Wang; S. Liu

2010-01-01T23:59:59.000Z

251

Greenhouse gases, climate change and the transition from coal to low-carbon electricity  

Science Journals Connector (OSTI)

A transition from the global system of coal-based electricity generation to low-greenhouse-gas-emission energy technologies is required to mitigate climate change in the long term. The use of current infrastructure to build this new low-emission system necessitates additional emissions of greenhouse gases, and the coal-based infrastructure will continue to emit substantial amounts of greenhouse gases as it is phased out. Furthermore, ocean thermal inertia delays the climate benefits of emissions reductions. By constructing a quantitative model of energy system transitions that includes life-cycle emissions and the central physics of greenhouse warming, we estimate the global warming expected to occur as a result of build-outs of new energy technologies ranging from 100GWe to 10TWe in size and 1100yr in duration. We show that rapid deployment of low-emission energy systems can do little to diminish the climate impacts in the first half of this century. Conservation, wind, solar, nuclear power, and possibly carbon capture and storage appear to be able to achieve substantial climate benefits in the second half of this century; however, natural gas cannot.

N P Myhrvold; K Caldeira

2012-01-01T23:59:59.000Z

252

Methodology for comparing the health effects of electricity generation from uranium and coal fuels  

SciTech Connect

A methodology was developed for comparing the health risks of electricity generation from uranium and coal fuels. The health effects attributable to the construction, operation, and decommissioning of each facility in the two fuel cycle were considered. The methodology is based on defining (1) requirement variables for the materials, energy, etc., (2) effluent variables associated with the requirement variables as well as with the fuel cycle facility operation, and (3) health impact variables for effluents and accidents. The materials, energy, etc., required for construction, operation, and decommissioning of each fuel cycle facility are defined as primary variables. The materials, energy, etc., needed to produce the primary variable are defined as secondary requirement variables. Each requirement variable (primary, secondary, etc.) has associated effluent variables and health impact variables. A diverging chain or tree is formed for each primary variable. Fortunately, most elements reoccur frequently to reduce the level of analysis complexity. 6 references, 11 figures, 6 tables.

Rhyne, W.R.; El-Bassioni, A.A.

1981-12-08T23:59:59.000Z

253

The Effects of Residential Energy Efficiency on Electric Demand Response Programs  

Science Journals Connector (OSTI)

Design and efficiency of houses can affect the amount of peak load reduction available from a residential demand response program. Twenty-four houses were simulated with varying thermal integrity and air conditioner size during the summer cooling season ... Keywords: demand response, efficiency, residential, hvac, conservation

Ward Jewell

2014-01-01T23:59:59.000Z

254

China, India demand cushions prices  

SciTech Connect

Despite the hopes of coal consumers, coal prices did not plummet in 2006 as demand stayed firm. China and India's growing economies, coupled with solid supply-demand fundamentals in North America and Europe, and highly volatile prices for alternatives are likely to keep physical coal prices from wide swings in the coming year.

Boyle, M.

2006-11-15T23:59:59.000Z

255

Catalytic Coal Gasification Process  

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

Catalytic Coal Gasification Process Catalytic Coal Gasification Process for the Production of Methane-Rich Syngas Opportunity Research is active on the patent pending technology, titled "Production of Methane-Rich Syngas from Fuels Using Multi-functional Catalyst/Capture Agent." This technology is available for licensing and/or further collaborative research from the U.S. Department of Energy's National Energy Technology Laboratory. Overview Reducing pollution emitted by coal and waste power plants in an economically viable manner and building power plants that co-generate fuels and chemicals during times of low electricity demand are pressing goals for the energy industry. One way to achieve these goals in an economically viable manner is through the use of a catalytic gasifier that

256

On the impact of urban heat island and global warming on the power demand and electricity consumption of buildingsA review  

Science Journals Connector (OSTI)

Abstract Urban heat island and global warming increase significantly the ambient temperature. Higher temperatures have a serious impact on the electricity consumption of the building sector increasing considerably the peak and the total electricity demand. The present paper aims to collect, analyze and present in a comparative way existing studies investigating the impact of ambient temperature increase on electricity consumption. Analysis of eleven studies dealing with the impact of the ambient temperature on the peak electricity demand showed that for each degree of temperature increase, the increase of the peak electricity load varies between 0.45% and 4.6%. This corresponds to an additional electricity penalty of about 21 (10.4)W per degree of temperature increase and per person. In parallel, analysis of fifteen studies examining the impact of ambient temperature on the total electricity consumption, showed that the actual increase of the electricity demand per degree of temperature increase varies between 0.5% and 8.5%.

M. Santamouris; C. Cartalis; A. Synnefa; D. Kolokotsa

2014-01-01T23:59:59.000Z

257

Modeling demand for electric vehicles: the effect of car users' attitudes and perceptions  

E-Print Network (OSTI)

electric cars and petrol-driven ones and in particular which include the respondents' own cars to electric cars on vehicle preferences. Opinion and perception data are also collected to capture the impact) and currently, few charging stations and infrastructures are available. The electric car user is hence compelled

Bierlaire, Michel

258

Controlling market power and price spikes in electricity networks: Demand-side bidding  

Science Journals Connector (OSTI)

...controlled data set with...competition on transmission lines connecting...demand from outages are ignored. Other...losses in transmission and any line constraints...14 days of data by level...when the transmission lines...

Stephen J. Rassenti; Vernon L. Smith; Bart J. Wilson

2003-01-01T23:59:59.000Z

259

Interrelation Between the Accuracy of Prediction and Irregularity of Electric Energy Demand Curves  

Science Journals Connector (OSTI)

Results of a study of the dependence of the accuracy of prediction on daily and seasonal irregularity of demand curves are described. It is shown that in power systems characterized by high irregularity of the...

B. I. Makoklyuev; V. F. Ech

260

ENERGY UTILIZATION AND ENVIRONMENTAL CONTROL TECHNOLOGIES IN THE COAL-ELECTRIC CYCLE  

E-Print Network (OSTI)

Plant - without coking (lb/hr) Feed Coal* Hydrogen YieldsCoking Summary Cost Estimates for Solvent Refining of Five U.S. CoalsCoal Handling and Preparation Preheaters and Dissolvers Mineral Separation (Filters) Solvent Recovery Gas Recovery Mineral Residue Processing and Storage Coking

Ferrell, G.C.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

Disaggregating regional energy supply/demand and flow data to 173 BEAs in support of export coal analysis. Final report  

SciTech Connect

This report documents the procedures and results of a study sponsored jointly by the US Department of Transportation and the US Department of Energy. The study was conducted to provide, Bureau of Economic Analysis (BEA)-level production/consumption data for energy materials for 1985 and 1990 in support of an analysis of transportation requirements for export coal. Base data for energy forecasts at the regional level were obtained from the Department of Energy, Energy Information Administration. The forecasts selected for this study are described in DOE/EIA's 1980 Annual Report to Congress, and are: 1985 Series, B, medium oil import price ($37.00/barrel); and 1990 Series B, medium oil import price ($41.00/barrel). Each forecast period is extensively described by approximately forty-three statistical tables prepared by EIA and made available to TERA for this study. This report provides sufficient information to enable the transportation analyst to appreciate the procedures employed by TERA to produce the BEA-level energy production/consumption data. The report presents the results of the procedures, abstracts of data tabulations, and various assumptions used for the preparation of the BEA-level data. The end-product of this effort was the BEA to BEA energy commodity flow data by more which serve as direct input to DOT's transportation network model being used for a detailed analysis of export coal transportation.

Not Available

1981-06-01T23:59:59.000Z

262

Solutions for Summer Electric Power Shortages: Demand Response and its Applications in Air Conditioning and Refrigerating Systems  

E-Print Network (OSTI)

for DR and demand side management, along with operationalresponse), DSM (demand side management), DR strategy, air

Han, Junqiao; Piette, Mary Ann

2008-01-01T23:59:59.000Z

263

The structure of demand for electricity in the Gulf Cooperation Council countries  

SciTech Connect

Electricity is a vital ingredient for the economic and social advancement of all developing nations. The members of Gulf Cooperation Council (GCC) offer no exception. The quantity of electricity consumed in these countries has grown consistently since the 1970s. If past trends are extrapolated to the year 2000, the electricity consumption at the turn of the century will be at least 10-fold the level prevailing the 1970s.

Eltony, M.N.; Mohammad, Y.H.

1993-12-31T23:59:59.000Z

264

Converting 15-Minute Interval Electricity Load Data into Reduced Demand, Energy Reduction and Cash Flow  

E-Print Network (OSTI)

, store managers are intimidated. 5 So what are the solutions? A data acquisition system. Pro-active with alarming and demand-response. Is there staff to maintain and ensure a response? Passive. Acquire the data and then evaluate and assess... is not required, this will prevent the requirement for additional costs of installing an OAT sensor at the building and potentially adding costs to the datalogger hardware or configuration. If possible, it is best to use and on-site OAT sensor. If a demand-response...

Herrin, D. G.

265

Table 12. Coal Prices to Electric Generating Plants, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Coal Prices to Electric Generating Plants, Projected vs. Actual Coal Prices to Electric Generating Plants, Projected vs. Actual (nominal dollars per million Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 2.03 2.17 2.33 2.52 2.73 2.99 AEO 1983 1.99 2.10 2.24 2.39 2.57 2.76 4.29 AEO 1984 1.90 2.01 2.13 2.28 2.44 2.61 3.79 AEO 1985 1.68 1.76 1.86 1.95 2.05 2.19 2.32 2.49 2.66 2.83 3.03 AEO 1986 1.61 1.68 1.75 1.83 1.93 2.05 2.19 2.35 2.54 2.73 2.92 3.10 3.31 3.49 3.68 AEO 1987 1.52 1.55 1.65 1.75 1.84 1.96 2.11 2.27 2.44 3.55 AEO 1989* 1.50 1.51 1.68 1.77 1.88 2.00 2.13 2.26 2.40 2.55 2.70 2.86 3.00 AEO 1990 1.46 1.53 2.07 2.76 3.7 AEO 1991 1.51 1.58 1.66 1.77 1.88 1.96 2.06 2.16 2.28 2.41 2.57 2.70 2.85 3.04 3.26 3.46 3.65 3.87 4.08 4.33 AEO 1992 1.54 1.61 1.66 1.75 1.85 1.97 2.03 2.14 2.26 2.44 2.55 2.69 2.83 3.00 3.20 3.40 3.58 3.78 4.01 AEO 1993 1.92 1.54 1.61 1.70

266

Clean coal technology and emissions trading: Is there a future for high-sulfur coal under the Clean Air Act Amendments of 1990?  

SciTech Connect

The near-term and long-term fate of high-sulfur coal is linked to utility compliance plans, the evolution of emission allowance trading, state and federal regulation, and technological innovation. All of these factors will play an implicit role in the demand for high-sulfur coal. This paper will explore the potential impact that emissions trading will have on high-sulfur coal utilization by electric utilities. 28 refs., 6 figs., 4 tabs.

Bailey, K.A.; South, D.W. [Argonne National Lab., IL (United States); McDermott, K.A. [Argonne National Lab., IL (United States)]|[Illinois State Univ., Normal, IL (United States)

1991-12-31T23:59:59.000Z

267

Clean coal technology and emissions trading: Is there a future for high-sulfur coal under the Clean Air Act Amendments of 1990  

SciTech Connect

The near-term and long-term fate of high-sulfur coal is linked to utility compliance plans, the evolution of emission allowance trading, state and federal regulation, and technological innovation. All of these factors will play an implicit role in the demand for high-sulfur coal. This paper will explore the potential impact that emissions trading will have on high-sulfur coal utilization by electric utilities. 28 refs., 6 figs., 4 tabs.

Bailey, K.A.; South, D.W. (Argonne National Lab., IL (United States)); McDermott, K.A. (Argonne National Lab., IL (United States) Illinois State Univ., Normal, IL (United States))

1991-01-01T23:59:59.000Z

268

Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs  

Science Journals Connector (OSTI)

Abstract The dynamic economic emission dispatch (DEED) of electric power generation is a multi-objective mathematical optimization problem with two objective functions. The first objective is to minimize all the fuel costs of the generators in the power system, whilst the second objective seeks to minimize the emissions cost. Both objective functions are subject to constraints such as load demand constraint, ramp rate constraint, amongst other constraints. In this work, we integrate a game theory based demand response program into the DEED problem. The game theory based demand response program determines the optimal hourly incentive to be offered to customers who sign up for load curtailment. The game theory model has in built mechanisms to ensure that the incentive offered the customers is greater than the cost of interruption while simultaneously being beneficial to the utility. The combined DEED and game theoretic demand response model presented in this work, minimizes fuel and emissions costs and simultaneously determines the optimal incentive and load curtailment customers have to perform for maximal power system relief. The developed model is tested on two test systems with industrial customers and obtained results indicate the practical benefits of the proposed model.

Nnamdi I. Nwulu; Xiaohua Xia

2015-01-01T23:59:59.000Z

269

ADVANCED FLUE GAS CONDITIONING AS A RETROFIT UPGRADE TO ENHANCE PM COLLECTION FROM COAL-FIRED ELECTRIC UTILITY BOILERS  

SciTech Connect

The U.S. Department of Energy and ADA Environmental Solutions are engaged in a project to develop commercial flue gas conditioning additives. The objective is to develop conditioning agents that can help improve particulate control performance of smaller or under-sized electrostatic precipitators on utility coal-fired boilers. The new chemicals will be used to control both the electrical resistivity and the adhesion or cohesivity of the fly ash. There is a need to provide cost-effective and safer alternatives to traditional flue gas conditioning with SO{sub 3} and ammonia. During this reporting quarter, installation of a liquid flue gas conditioning system was completed at the American Electric Power Conesville Plant, Unit 3. This plant fires a bituminous coal and has opacity and particulate emissions performance issues related to fly ash re-entrainment. Two cohesivity-specific additive formulations, ADA-44C and ADA-51, will be evaluated. In addition, ammonia conditioning will also be compared.

Kenneth E. Baldrey

2003-01-01T23:59:59.000Z

270

Electric Demand Reduction for the U.S. Navy Public Works Center San Diego, California  

SciTech Connect

Pacific Northwest National Laboratory investigated the profitability of operating a Navy ship's generators (in San Diego) during high electricity price periods rather than the ships hooking up to the Base electrical system for power. Profitability is predicated on the trade-off between the operating and maintenance cost incurred by the Navy for operating the ship generators and the net profit associated with the sale of the electric power on the spot market. In addition, PNNL assessed the use of the ship's generators as a means to achieve predicted load curtailments, which can then be marketed to the California Independent System Operator.

Kintner-Meyer, Michael CW

2000-09-30T23:59:59.000Z

271

Floating offshore wind farms : demand planning & logistical challenges of electricity generation  

E-Print Network (OSTI)

Floating offshore wind farms are likely to become the next paradigm in electricity generation from wind energy mainly because of the near constant high wind speeds in an offshore environment as opposed to the erratic wind ...

Nnadili, Christopher Dozie, 1978-

2009-01-01T23:59:59.000Z

272

Quantifying Changes in Building Electricity Use, with Application to Demand Response  

E-Print Network (OSTI)

electric loads to deliver load following and regu- lation,6], and regulation/load following [7]), and as DR is used toload as a function of time-of-week and outdoor air temperature. Following

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

273

Analysis of Michigan's demand-side electricity resources in the residential sector: Volume 3, End-use studies: Revised final report  

SciTech Connect

This volume of the ''Analysis of Michigan's Demand-Side Electricity Resources in the Residential Sector'' contains end-use studies on various household appliances including: refrigerators, freezers, lighting systems, water heaters, air conditioners, space heaters, and heat pumps. (JEF)

Krause, F.; Brown, J.; Connell, D.; DuPont, P.; Greely, K.; Meal, M.; Meier, A.; Mills, E.; Nordman, B.

1988-04-01T23:59:59.000Z

274

Low emission boiler system: Clean and efficient power from coal  

SciTech Connect

The US Department of Energy, Federal Energy Technology Center, is working with private industry to develop the Low Emission Boiler System (LEBS), an advanced coal-fired power generation system for the 21st century. LEBS will provide the utility industry with an opportunity to meet the anticipated increase in electricity demand throughout the world by offering cleaner and more efficient coal-fired power plants. LEBS has significantly higher thermal efficiency, superior environmental performance and a lower cost of electricity than conventional coal-fired systems. This paper presents an overall summary of the LEBS program.

Ruth, L.; Winslow, J. [Dept. of Energy, Pittsburgh, PA (United States). Federal Energy Technology Center; Ramezan, M. [Burns and Roe Services Corp., Pittsburgh, PA (United States)

1997-09-01T23:59:59.000Z

275

Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey  

E-Print Network (OSTI)

EV market studies In the absenceof data on actual sales,EV, then we expect 16 to 18% annual of of light-duty vehicle salesEV experiments indicate there is still more than adequatepotential marketsfor electric vehicles to have , exceededthe former 1998CARB mandatefor sales

Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

2001-01-01T23:59:59.000Z

276

ZONAL PRICING AND DEMAND-SIDE BIDDING IN THE NORWEGIAN ELECTRICITY MARKET  

E-Print Network (OSTI)

of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy. University of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www-ahead electricity market in Norway. We consider the hypothesis that generators are better able to exercise market

California at Berkeley. University of

277

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

annual per-capita electricity consumption by demand15 California electricity consumption projections by demandannual per-capita electricity consumption by demand

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

278

Electricity generation from coal with CO2 capture by means of a novel power cycle  

SciTech Connect

Climate modelers have estimated that anthropogenic emissions of CO2 must be reduced substantially from the present rate to stabilize atmospheric concentration. To achieve this, electricity generation from fossil fuels with CO2 capture and direct sequestration may play an important role. If so, it will be worthwhile to consider power cycles that are designed to minimize atmospheric CO2 emissions and deliver CO2 ready for pipeline transport in addition to providing other desirable attributes of environmental performance and efficiency. One such novel approach, named the Matiant cycle, employs self generated CO2 as the working fluid with both Bryton and Rankine cycle turbines. Process modeling studies are being conducted at the NETL to investigate the promise of this cycle. In the work to be reported, synthesis gas is provided to the Matiant cycle by oxygen-blown dry coal entrained gasification. Oxygen for both the gasifier and the Matiant cycle is provided by use of an Ion Transport Membrane (ITM). ITM is a revolutionary approach for producing high purity oxygen from a high temperature pressurized air stream. ASPEC Plus is used as the simulation tool to compute energy balances and system performance. Two flowsheets are analyzed, the difference being the treatment of the low oxygen content raffinate stream from the ITM. Computed thermal efficiencies of the ITM/Matiant cycle are comparable to those of conventional IGCC without carbon capture. Specific carbon emissions per net MWh are many times lower for the new cycle than for other approaches being developed for power generation with CO2 capture, however. As much as 99.5% of the carbon in synthesis gas fed to the Matiant cycle could be recovered and removed in a pipeline as a high pressure liquid. Such high capture efficiencies at large central generating stations could allow use of fossil fuels without capture at smaller installations or by mobile sources, yielding a modest overall rate of CO2 emissions.

Ruether, J.; Le, P.; White, C.

2000-07-01T23:59:59.000Z

279

Genetic algorithm-based demand response scheme for electric vehicle charging  

Science Journals Connector (OSTI)

This paper presents a design and evaluates the performance of a charging task scheduler for electric vehicles, aiming at reducing the peak load and improving the service ratio in charging stations. Based on a consumption profile and the real-time task model consisting of actuation time, operation length, and deadline, the proposed scheduler fills the time table, by which the power controller turns on or off the electric connection switch to the vehicle on each time slot boundary. Genetic evolutions yield better results by making the initial population include both heuristic-generated schedules for fast convergence and randomly generated schedules for diversity loss compensation. Our heuristic scheme sequentially fills the time slots having lowest load for different orders such as deadline and operation length. The performance measurement result obtained from a prototype implementation reveals that our scheme can reduce the peak load for the given charging task sets by up to 4.9%, compared with conventional schemes.

Junghoon Lee; Gyung-Leen Park

2013-01-01T23:59:59.000Z

280

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network (OSTI)

advanced metering and demand response in electricityGoldman, and D. Kathan. Demand response in U.S. electricity29] DOE. Benefits of demand response in electricity markets

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

Coal Distribution Database, 2006  

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

2009 Final February 2011 2 Overview of 2009 Coal Distribution Tables Introduction The Coal Distribution Report - Annual provides detailed information on domestic coal distribution by origin state, destination state, consumer category, and method of transportation. Also provided is a summary of foreign coal distribution by coal-producing State. This Final 2009 Coal Distribution Report - Annual, supersedes the data contained in the four Quarterly Coal Distribution Reports previously issued for 2009. This report relies on the most current data available from EIA's various monthly, quarterly and annual surveys of the coal industry and electric power generation industry. In addition, the report

282

PressurePressure Indiana Coal Characteristics  

E-Print Network (OSTI)

TimeTime PressurePressure · Indiana Coal Characteristics · Indiana Coals for Coke · Coal Indiana Total Consumption Electricity 59,664 Coke 4,716 Industrial 3,493 Major Coal- red power plantsTransportation in Indiana · Coal Slurry Ponds Evaluation · Site Selection for Coal Gasification · Coal-To-Liquids Study, CTL

Fernández-Juricic, Esteban

283

Illinois Coal Revival Program (Illinois)  

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

The Illinois Coal Revival Program is a grants program providing partial funding to assist with the development of new, coal-fueled electric generation capacity and coal gasification or IGCC units...

284

A portfolio approach to energy governance : state management of China's coal and electric power supply industries  

E-Print Network (OSTI)

This study addresses the extent to which China's central state devolved ownership and investment levels in its energy sector to other actors during the modern reform period (1978- 2008). The project focused on China's coal ...

Cunningham, Edward A., IV (Edward Albert)

2009-01-01T23:59:59.000Z

285

Linkages between demand-side management and congestion in the European electricity transmission system  

Science Journals Connector (OSTI)

Abstract We evaluate the possibility to reduce congestion in the transmission grid through large-scale implementation of demand-side management (DSM) in the form of load shifting for the EU-27 countries, Norway, and Switzerland for Year 2020. A linear, cost-minimising, dispatch model that includes a DC load-flow description of the transmission system and a general representation of load shifting is used. It is assumed that the EU Member States fulfil the targets for Year 2020 in their national renewable energy action plans. In the model calculations, a reference case without load shifting is compared with cases in which the load shifting is 5%, 10%, 15% or 20% of the load. The possibility to shift load in time is added exogenously and economic incentives for DSM are not evaluated. Three types of congestion are identified: peak-load-hour congestion, low-load-hour congestion and all-hour congestion. Peak-load-hour congestion is reduced as the DSM share of the load increases, whereas low-load-hour congestion, which is typically associated with a high level of wind generation, persists at all the DSM penetration levels investigated. We show that all-hour congestion occurs between systems that have large differences in supply structure, and that the impact of DSM on all-hour congestion is low.

Lisa Gransson; Joel Goop; Thomas Unger; Mikael Odenberger; Filip Johnsson

2014-01-01T23:59:59.000Z

286

,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components"  

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

2 Relative Standard Errors for Table 7.2;" 2 Relative Standard Errors for Table 7.2;" " Unit: Percents." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" " "," ",,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues",,,," " " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related","All"

287

,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components"  

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

Relative Standard Errors for Table 7.1;" Relative Standard Errors for Table 7.1;" " Unit: Percents." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" " "," ",,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues",,,," " " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related","All"

288

Wind offering strategy in the Australian National Electricity Market: A two-step plan considering demand response  

Science Journals Connector (OSTI)

Abstract This paper proposes an energy offering strategy for wind power producers. A new trading plan is presented through which a wind power producer can employ demand response (DR) to maximize its profit. To consider DR, a new DR scheme is developed here. The proposed plan includes two steps: The first step takes place on a day-ahead basis. The corresponding decisions involve an initial offering schedule and preliminary DR arrangements for the following day. The second step coincides with the day of the energy delivery. A consecutive approach is proposed in which the wind power producer determines its final energy offer during each trading interval. Simultaneously, the required DR agreements for that interval are also confirmed. This approach is repeated until all periods of the day are covered. The proposed plan is formulated as a stochastic programming approach, where its feasibility is evaluated on a case of the Australian National Electricity Market (NEM).

Nadali Mahmoudi; Tapan K. Saha; Mehdi Eghbal

2015-01-01T23:59:59.000Z

289

Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power.  

SciTech Connect

This paper uses a new unit commitment model which can simulate the interactions among plug-in hybrid electric vehicles (PHEVs), wind power, and demand response (DR). Four PHEV charging scenarios are simulated for the Illinois power system: (1) unconstrained charging, (2) 3-hour delayed constrained charging, (3) smart charging, and (4) smart charging with DR. The PHEV charging is assumed to be optimally controlled by the system operator in the latter two scenarios, along with load shifting and shaving enabled by DR programs. The simulation results show that optimally dispatching the PHEV charging load can significantly reduce the total operating cost of the system. With DR programs in place, the operating cost can be further reduced.

Wang, J.; Liu, C.; Ton, D.; Zhou, Y.; Kim, J.; Vyas, A. (Decision and Information Sciences); ( ES); (ED); (Kyungwon Univ.)

2011-07-01T23:59:59.000Z

290

Profitability analysis of non-coking coal preparation for power plants in India  

SciTech Connect

Currently coal-based power plants produce about 70% of the total electricity generated in India, where non-coking (steam) coals are utilized mostly without any preparation. A massive capacity addition of at least 140,000 MWe is required (over the 81,000 MWe of current installed capacity) during the next 15 years to meet growing energy demand. Such a rapid expansion of power generation capacity poses a serious challenge to the environment (at emission controls) and transportation infrastructure in India. Furthermore, the high ash content of indigenous coals and concentration of coal mines in central and northeastern India away from urban centers exacerbate the problem. Thus, coal preparation is envisioned to play a major role in shaping the energy future of India. Under the Indo-US Coal Preparation Program, the US Department of Energy`s Pittsburgh Energy Technology Center (PETC) is coordinating coal preparation activities for the US Agency for International Development. In this context, a detailed analysis of the washability characteristics of non-coking coals was performed using the PETC Coal Preparation Plant Simulator (CPPS) to identify coal preparation strategies for India. Based on these strategies, a profitability analysis of non-coking coal preparation has been conducted considering coal preparation and transportation costs, and coal quality impacts on power plant operations. This paper summarizes the results of this analysis and quantifies the significance of coal preparation for the Indian power sector.

Gollakota, S.V.; Rao, S.N. [Burns and Roe Services Corp., Pittsburgh, PA (United States). Pittsburgh Energy Technology Center; Staats, G.E. [Dept. of Energy, Pittsburgh, PA (United States). Pittsburgh Energy Technology Center

1996-12-31T23:59:59.000Z

291

Nitrogen oxide removal processes for coal-fueled electric power generation  

SciTech Connect

There is a global trend requiring lower NO{sub x}, emissions from stationary combustion sources. When NO{sub x} is released into the atmosphere it contributes to photochemical smog and acid rain. Elevated ozone concentrations have been implicated in crop and forest damage, and adverse effects on human health. Several alternative technologies have been developed to reduce NO{sub x} emissions resulting from the combustion of coal. The alternatives, which range from combustion modifications, to addition of post-combustion systems, to use of alternate coal combustion technologies, provide different degrees of NO{sub x} reduction efficiency with different associated costs. Only by careful evaluation of site specific factors can the optimum technology for each application be chosen. This chapter will investigate the alternatives for NO{sub x} control for new, large utility steam generators using coal as a fuel.

Van Nieuwenhuizen, Wm.

1993-12-31T23:59:59.000Z

292

Appalachian coal awareness conference: promoting Eastern coal  

SciTech Connect

Promoting the development and use of coal, especially coal from the Appalachian region, was the focus of introductory and keynote speeches and a discussion by representatives of the Virginia Coal Council, mining engineers, industry, and the Edison Electric Institute. Governor Dalton's keynote address noted that both producers and consumers attending the conference should work together to promote coal as a solution to the US energy future, and reported the impact that a commitment to coal has had on Virginia's economic growth. Participants in the coal consumers panel discussion raised various economic and regulatory issues.

Not Available

1984-01-01T23:59:59.000Z

293

Development of a Hydrogasification Process for Co-Production of Substitute Natural Gas (SNG) and Electric Power From Western Coals  

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

Daniel C. Cicero Daniel C. Cicero Hydrogen & Syngas Technology Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507 304-285-4826 daniel.cicero@netl.doe.gov Gary J. stiegel Gasification Technology Manager National Energy Technology Laboratory 626 Cochrans Mill Road P.O. Box 10940 Pittsburgh, PA 15236 412-386-4499 gary.stiegel@netl.doe.gov Elaine Everitt Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507 304-285-4491 elaine.everitt@netl.doe.gov 4/2009 Hydrogen & Syngas Technologies Gasification Technologies Development of a HyDrogasification process for co-proDuction of substitute natural gas (sng) anD electric power from western coals Description In the next two decades, electric utilities serving the Western United States must install

294

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

8 PM)" 8 PM)" "Alaska" "Fuel, Quality",1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-",203,141,148 " Average heat value (Btu per pound)","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-",8698,8520,8278 " Average sulfur Content (percent)","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-",0.33,0.5,0.71

295

JV Task 126 - Mercury Control Technologies for Electric Utilities Burning Bituminous Coal  

SciTech Connect

The EERC developed an applied research consortium project to test cost-effective mercury (Hg) control technologies for utilities burning bituminous coals. The project goal was to test innovative Hg control technologies that have the potential to reduce Hg emissions from bituminous coal-fired power plants by {ge}90% at costs of one-half to three-quarters of current estimates for activated carbon injection (ACI). Hg control technology evaluations were performed using the EERC's combustion test facility (CTF). The CTF was fired on pulverized bituminous coals at 550,000 Btu/hr (580 MJ/hr). The CTF was configured with the following air pollution control devices (APCDs): selective catalytic reduction (SCR) unit, electrostatic precipitator (ESP), and wet flue gas desulfurization system (WFDS). The Hg control technologies investigated as part of this project included ACI (three Norit Americas, Inc., and eleven Envergex sorbents), elemental mercury (Hg{sup 0}) oxidation catalysts (i.e., the noble metals in Hitachi Zosen, Cormetech, and Hitachi SCR catalysts), sorbent enhancement additives (SEAs) (a proprietary EERC additive, trona, and limestone), and blending with a Powder River Basin (PRB) subbituminous coal. These Hg control technologies were evaluated separately, and many were also tested in combination.

Jason Laumb; John Kay; Michael Jones; Brandon Pavlish; Nicholas Lentz; Donald McCollor; Kevin Galbreath

2009-03-29T23:59:59.000Z

296

ENERGY UTILIZATION AND ENVIRONMENTAL CONTROL TECHNOLOGIES IN THE COAL-ELECTRIC CYCLE  

E-Print Network (OSTI)

lb for anthracite. The reserves of lignite on a weight basisand reserves. Typical energy contents of coal range from about 7,000 for ligniteReserves of the United States, 1974 (Billion Tons). Underground Surface Total Energy Value (Quads) Subbituminous Lignite

Ferrell, G.C.

2010-01-01T23:59:59.000Z

297

The Boom of Electricity Demand in the Residential Sector in the Developing World and the Potential for Energy Efficiency  

E-Print Network (OSTI)

B. Atanasiu (2006). Electricity Consumption and Efficiencywill see their electricity consumption rise significantly.the bulk of household electricity consumption in developing

Letschert, Virginie

2010-01-01T23:59:59.000Z

298

Coal - U.S. Energy Information Administration (EIA) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Analysis & Projections Analysis & Projections ‹ See all Coal Reports U.S. Coal Supply and Demand: 2010 Year in Review Release Date: June 1, 2011 | Next Release Date: Periodically | full report Consumption Preliminary data shows that total coal consumption rebounded in 2010, increasing by 5.1 percent from the 2009 level. Total U.S. coal consumption was 1,048.3 million short tons, an increase of 50.8 million short tons, with all coal-consuming sectors, except commercial and institutional users, having higher consumption for the year. The 2010 increase in consumption, over 2009, restored about 40 percent of the previous drop in consumption in 2009 from 2008 levels. The electric power sector (electric utilities and independent power producers), which consumes about 93 percent of all coal

299

Sixth clean coal technology conference: Proceedings. Volume 2: Technical papers  

SciTech Connect

The Sixth Clean Coal Technology Conference focused on the ability of clean coal technologies (CCTs) to meet increasingly demanding environmental requirements while simultaneously remaining competitive in both international and domestic markets. Conference speakers assessed environmental, economic, and technical issues and identified approaches that will help enable CCTs to be deployed in an era of competing, interrelated demands for energy, economic growth, and environmental protection. Recognition was given to the dynamic changes that will result from increasing competition in electricity and fuel markets and industry restructuring, both domestically and internationally. Volume 2 contains 28 papers related to fluidized-bed combustion, coal gasification for combined cycle power plants, the Liquid Phase Methanol Process, use of coal in iron making, air pollution control of nitrogen oxides, coke making, and hot gas cleanup.

NONE

1998-12-01T23:59:59.000Z

300

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

and D. Kathan (2009). Demand Response in U.S. ElectricityEnergy Financial Group. Demand Response Research Center [2008). Assessment of Demand Response and Advanced Metering.

Goldman, Charles

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

The ICF, Inc. coal and electric utilities model : an analysis and evaluation  

E-Print Network (OSTI)

v.1. The Electric Power Research Institute (EPRI) is sponsoring a series of evaluations of important energy policy and electric utility industry models by the MIT Energy Model Analysis Program (EMAP). The subject of this ...

Wood, David O.

1981-01-01T23:59:59.000Z

302

ENERGY UTILIZATION AND ENVIRONMENTAL CONTROL TECHNOLOGIES IN THE COAL-ELECTRIC CYCLE  

E-Print Network (OSTI)

Fluidized-Bed Steam-Electric Steam-Electric Combined-CycleCombined-Cycle Current (1974) Future Future a Source:steam plants. The combined-cycle versions of advanced

Ferrell, G.C.

2010-01-01T23:59:59.000Z

303

Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India  

SciTech Connect

The development of Energy Efficiency Standards and Labeling (EES&L) began in earnest in India in 2001 with the Energy Conservation Act and the establishment of the Indian Bureau of Energy Efficiency (BEE). The first main residential appliance to be targeted was refrigerators, soon to be followed by room air conditioners. Both of these appliances are of critical importance to India's residential electricity demand. About 15percent of Indian households own a refrigerator, and sales total about 4 million per year, but are growing. At the same time, the Indian refrigerator market has seen a strong trend towards larger and more consumptive frost-free units. Room air conditioners in India have traditionally been sold to commercial sector customers, but an increasing number are going to the residential sector. Room air conditioner sales growth in India peaked in the last few years at 20percent per year. In this paper, we perform an engineering-based analysis using data specific to Indian appliances. We evaluate costs and benefits to residential and commercial sector consumers from increased equipment costs and utility bill savings. The analysis finds that, while the BEE scheme presents net benefits to consumers, there remain opportunities for efficiency improvement that would optimize consumer benefits, according to Life Cycle Cost analysis. Due to the large and growing market for refrigerators and air conditioners in India, we forecast large impacts from the standards and labeling program as scheduled. By 2030, this program, if fully implemented would reduce Indian residential electricity consumption by 55 TWh. Overall savings through 2030 totals 385 TWh. Finally, while efficiency levels have been set for several years for refrigerators, labels and MEPS for these products remain voluntary. We therefore consider the negative impact of this delay of implementation to energy and financial savings achievable by 2030.

McNeil, Michael A.; Iyer, Maithili

2009-05-30T23:59:59.000Z

304

A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real-World Electricity Pricing  

E-Print Network (OSTI)

1 A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real bills. Our focus is on a subset of this work that carries out demand response (DR) by modulating

Urgaonkar, Bhuvan

305

A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real-World Electricity Pricing  

E-Print Network (OSTI)

1 A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real for optimizing their utility bills. Our focus is on a subset of this work that carries out demand response (DR

Urgaonkar, Bhuvan

306

Section 5 - Coal  

Science Journals Connector (OSTI)

Coal has the longest history of use among the fossil fuels, with use as a fuel dating to 3000 BC in China and Wales. Marco Polos Description of the World (1298) comments on many novel customs and practices of China, including the use of stones that burn like logs (coal). By the thirteenth century the mining of coal was widespread in England in regions such as Durham, Nottinghamshire, Derbyshire, Staffordshire, and North and South Wales. By the early seventeenth century nearly half of Englands maritime trade consisted of coal exports. Coal was the fuel that launched the Industrial Revolution in Europe and then the United States. By the late 1890s, the U.S. assumed the lead in world coal production. Britain now ranked second, after having been the world leader since the beginnings of the formal industry in the 1500s. Germany was third, an indication of its growing industrial power relative to continental rival France. Coals leading role in energy use peaked in the early twentieth century, after which it was supplanted by oil and natural gas. By the late twentieth century Chinas rapid economic expansion, surging demand for electricity, and prodigious coal resources combined to propel it to become the world leader in production. Continuous improvements in coal mining technology have produced lower costs, improved safety, and greater labor productivity. John Buddle introduced the first air pump to ventilate coal mines (1803), followed shortly by the miners safety lamps that were developed independently by Sir Humphry Davy, William Clanny, and George Stephenson (1813-1816). Coal mining underwent a rapid transition in the 1880s to mechanical coal cutting in mines in the United Kingdom, the United States, and Russia. The St. Joseph Lead Company of Missouri (1900) invented the first underground mine roof bolts that became a key safety feature in underground coal mines. The first commercially successful bucket wheel excavator was used at the Luise Mine in Braunkohlemwerke, Germany (1925), followed by the first successful continuous miners in U.S. underground coal mining (1948). The first mechanized U.S. longwall mining system appeared in 1951, and was followed by the self-advancing hydraulic longwall support system that provided greater support for the roof of the mine. LeTourneau Technologies, Inc. of Texas manufactured the largest rubber tired front-end wheel loader in the world, the L-2350, which would play an important role in loading coal in Wyomings large surface mines (2005). Coal mining has always been a very hazardous occupation, and has produced some of historys worst industrial disasters. The Courrires mine disaster, Europe's worst mining accident, caused the death of 1,099 miners in Northern France (1906). An explosion in a coal mine in Liaoning province in northeastern China killed more than 1,500 Chinese miners (1942), as did other major accidents in Ky?sh?, Japan (1914), Wankie, Rhodesia (1972), Wales (1913), Bihar, India (1965), and West Virginia, U.S. (1907), to name just a few. Legislation such as the Federal Coal Mine Health and Safety Act in the U.S. (1969) improved working conditions in many nations. The Great Smog of London (1952) occurred after an exceptionally cold winter forced homes and factories to burn large quantities of coal. A temperature inversion formed, trapping pollutants above the ground. More than 4,000 people died from respiratory ailments within the following week. The use of coal has been impacted by legislation to control the environmental impacts associated with its mining and combustion. The first known environmental regulation of coal dates to 1306 when King Edward II of England prohibited burning sea coal while Parliament was in session because of its offensive smoke. Sulfur dioxide from coal combustion was tied to acid rain in the 1960s, and carbon dioxide emissions became a concern beginning in the 1980s when climate change emerged as a critical environmental issue.

Cutler J. Cleveland; Christopher Morris

2014-01-01T23:59:59.000Z

307

Novel effects of demand side management data on accuracy of electrical energy consumption modeling and long-term forecasting  

Science Journals Connector (OSTI)

Abstract Worldwide implementation of demand side management (DSM) programs has had positive impacts on electrical energy consumption (EEC) and the examination of their effects on long-term forecasting is warranted. The objective of this study is to investigate the effects of historical DSM data on accuracy of EEC modeling and long-term forecasting. To achieve the objective, optimal artificial neural network (ANN) models based on improved particle swarm optimization (IPSO) and shuffled frog-leaping (SFL) algorithms are developed for EEC forecasting. For long-term EEC modeling and forecasting for the U.S. for 20102030, two historical data types used in conjunction with developed models include (i) EEC and (ii) socio-economic indicators, namely, gross domestic product, energy imports, energy exports, and population for 19672009 period. Simulation results from IPSO-ANN and SFL-ANN models show that using socio-economic indicators as input data achieves lower mean absolute percentage error (MAPE) for long-term EEC forecasting, as compared with EEC data. Based on IPSO-ANN, it is found that, for the U.S. EEC long-term forecasting, the addition of DSM data to socio-economic indicators data reduces MAPE by 36% and results in the estimated difference of 3592.8 MBOE (5849.9TWh) in EEC for 20102030.

F.J. Ardakani; M.M. Ardehali

2014-01-01T23:59:59.000Z

308

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

1 PM)" 1 PM)" "Maine" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)","-","-","-","-","-","-","-","-","-","-",241,237,262,266,327,319,367,506,619 " Average heat value (Btu per pound)","-","-","-","-","-","-","-","-","-","-",13138,13124,12854,12823,12784,13171,12979,12779,13011 " Average sulfur Content (percent)","-","-","-","-","-","-","-","-","-","-",0.71,0.69,0.77,0.78,0.7,0.65,0.72,0.82,0.72

309

What China Can Learn from International Experiences in Developing a Demand Response Program  

E-Print Network (OSTI)

supplies and rising coal prices combined with relativelycontrol of power prices coupled with coal supply shortagesprice of electricity in China is capped by the government. Tight coal

Shen, Bo

2013-01-01T23:59:59.000Z

310

ADVANCED FLUE GAS CONDITIONING AS A RETROFIT UPGRADE TO ENHANCE PM COLLECTION FROM COAL-FIRED ELECTRIC UTILITY BOILERS  

SciTech Connect

The U.S. Department of Energy and ADA Environmental Solutions are engaged in a project to develop commercial flue gas conditioning additives. The objective is to develop conditioning agents that can help improve particulate control performance of smaller or under-sized electrostatic precipitators on utility coal-fired boilers. The new chemicals will be used to control both the electrical resistivity and the adhesion or cohesivity of the fly ash. There is a need to provide cost-effective and safer alternatives to traditional flue gas conditioning with SO{sub 3} and ammonia. During this reporting quarter, performance testing of flue gas conditioning was underway at the PacifiCorp Jim Bridger Power Plant. The product tested, ADA-43, was a combination resistivity modifier with cohesivity polymers. This represents the first long-term full-scale testing of this class of products. Modifications to the flue gas conditioning system at Jim Bridger, including development of alternate injection lances, was also undertaken to improve chemical spray distribution and to avoid spray deposition to duct interior surfaces. Also in this quarter, a firm commitment was received for another long-term test of the cohesivity additives. This plant fires a bituminous coal and has opacity and particulate emissions performance issues related to fly ash re-entrainment. Ammonia conditioning is employed here on one unit, but there is interest in liquid cohesivity additives as a safer alternative.

Kenneth E. Baldrey

2002-05-01T23:59:59.000Z

311

ADVANCED FLUE GAS CONDITIONING AS A RETROFIT UPGRADE TO ENHANCE PM COLLECTION FROM COAL-FIRED ELECTRIC UTILITY BOILERS  

SciTech Connect

The U.S. Department of Energy and ADA Environmental Solutions are engaged in a project to develop commercial flue gas conditioning additives. The objective is to develop conditioning agents that can help improve particulate control performance of smaller or under-sized electrostatic precipitators on utility coal-fired boilers. The new chemicals will be used to control both the electrical resistivity and the adhesion or cohesivity of the fly ash. There is a need to provide cost-effective and safer alternatives to traditional flue gas conditioning with SO{sub 3} and ammonia. During this reporting quarter, installation of a flue gas conditioning system was completed at PacifiCorp Jim Bridger Power Plant. Performance testing was underway. Results will be detailed in the next quarterly and subsequent technical summary reports. Also in this quarter, discussions were initiated with a prospective long-term candidate plant. This plant fires a bituminous coal and has opacity performance issues related to fly ash re-entrainment. Ammonia conditioning has been proposed here, but there is interest in liquid additives as a safer alternative.

Kenneth E. Baldrey

2002-01-01T23:59:59.000Z

312

EIS-0105: Conversion to Coal, Baltimore Gas & Electric Company, Brandon Shores Generating Station Units 1 and 2, Anne Arundel County, Maryland  

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

The U.S. Department of Energys Economic Regulatory Administration Office of Fuels Program, Coal and Electricity Division prepared this statement to assess the potential environmental and socioeconomic impacts associated with prohibiting the use of petroleum products as a primary energy source for Units 1 and 2 of the Brandon Shores Generating Station, located in Anne Arundel County, Maryland.

313

How To Address Data Gaps in Life Cycle Inventories: A Case Study on Estimating CO2 Emissions from Coal-Fired Electricity Plants on a Global Scale  

Science Journals Connector (OSTI)

Our framework hypothesizes that emissions from coal power plants can be explained by plant-specific factors (predictors) that include steam pressure, total capacity, plant age, fuel type, and gross domestic product (GDP) per capita of the resident nations of those plants. ... For example, Wernet et al.(5) used neural networks to estimate the cumulative energy demand (CED) of chemicals based on their molecular properties. ...

Zoran J. N. Steinmann; Aranya Venkatesh; Mara Hauck; Aafke M. Schipper; Ramkumar Karuppiah; Ian J. Laurenzi; Mark A. J. Huijbregts

2014-04-21T23:59:59.000Z

314

ADVANCED FLUE GAS CONDITIONING AS A RETROFIT UPGRADE TO ENHANCE PM COLLECTION FROM COAL-FIRED ELECTRIC UTILITY BOILERS  

SciTech Connect

The U.S. Department of Energy and ADA Environmental Solutions are engaged in a project to develop commercial flue gas conditioning additives. The objective is to develop conditioning agents that can help improve particulate control performance of smaller or under-sized electrostatic precipitators on utility coal-fired boilers. The new chemicals will be used to control both the electrical resistivity and the adhesion or cohesivity of the fly ash. There is a need to provide cost-effective and safer alternatives to traditional flue gas conditioning with SO{sub 3} and ammonia. During this reporting quarter, performance testing of flue gas conditioning was completed at the PacifiCorp Jim Bridger Power Plant. The product tested, ADA-43, was a combination resistivity modifier with cohesivity polymers. The product was effective as a flue gas conditioner. However, ongoing problems with in-duct deposition resulting from the flue gas conditioning were not entirely resolved. Primarily these problems were the result of difficulties encountered with retrofit of an existing spray humidification system. Eventually it proved necessary to replace all of the original injection lances and to manually bypass the PLC-based air/liquid feed control. This yielded substantial improvement in spray atomization and system reliability. However, the plant opted not to install a permanent system. Also in this quarter, preparations continued for a test of the cohesivity additives at the American Electric Power Conesville Plant, Unit 3. This plant fires a bituminous coal and has opacity and particulate emissions performance issues related to fly ash re-entrainment. Ammonia conditioning is employed here on one unit, but there is interest in liquid cohesivity additives as a safer alternative.

Kenneth E. Baldrey

2002-07-01T23:59:59.000Z

315

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

1 PM)" 1 PM)" "Hawaii" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)","-","-","-","-","-","-","-","-","-","-","-","-",303,296,188,175,281,309,358,297,279 " Average heat value (Btu per pound)","-","-","-","-","-","-","-","-","-","-","-","-",11536,11422,11097,10975,10943,10871,10669,10640,10562 " Average sulfur Content (percent)","-","-","-","-","-","-","-","-","-","-","-","-",0.32,0.44,0.49,0.55,0.51,0.47,0.66,0.65,0.62

316

Development of a Hydrogasification Process for Co-Production of Substitute Natural Gas (SNG) and Electric Power from Western Coals  

SciTech Connect

This report presents the results of the research and development conducted on an Advanced Hydrogasification Process (AHP) conceived and developed by Arizona Public Service Company (APS) under U.S. Department of Energy (DOE) contract: DE-FC26-06NT42759 for Substitute Natural Gas (SNG) production from western coal. A double-wall (i.e., a hydrogasification contained within a pressure shell) down-flow hydrogasification reactor was designed, engineered, constructed, commissioned and operated by APS, Phoenix, AZ. The reactor is ASME-certified under Section VIII with a rating of 1150 pounds per square inch gage (psig) maximum allowable working pressure at 1950 degrees Fahrenheit ({degrees}F). The reaction zone had a 1.75 inch inner diameter and 13 feet length. The initial testing of a sub-bituminous coal demonstrated ~ 50% carbon conversion and ~10% methane yield in the product gas under 1625{degrees}F, 1000 psig pressure, with a 11 seconds (s) residence time, and 0.4 hydrogen-to-coal mass ratio. Liquid by-products mainly contained Benzene, Toluene, Xylene (BTX) and tar. Char collected from the bottom of the reactor had 9000-British thermal units per pound (Btu/lb) heating value. A three-dimensional (3D) computational fluid dynamic model simulation of the hydrodynamics around the reactor head was utilized to design the nozzles for injecting the hydrogen into the gasifier to optimize gas-solid mixing to achieve improved carbon conversion. The report also presents the evaluation of using algae for carbon dioxide (CO{sub 2}) management and biofuel production. Nannochloropsis, Selenastrum and Scenedesmus were determined to be the best algae strains for the project purpose and were studied in an outdoor system which included a 6-meter (6M) radius cultivator with a total surface area of 113 square meters (m{sup 2}) and a total culture volume between 10,000 to 15,000 liters (L); a CO{sub 2} on-demand feeding system; an on-line data collection system for temperature, pH, Photosynthetically Activate Radiation (PAR) and dissolved oxygen (DO); and a ~2 gallons per minute (gpm) algae culture dewatering system. Among the three algae strains, Scenedesmus showed the most tolerance to temperature and irradiance conditions in Phoenix and the best self-settling characteristics. Experimental findings and operational strategies determined through these tests guided the operation of the algae cultivation system for the scale-up study. Effect of power plant flue gas, especially heavy metals, on algae growth and biomass adsorption were evaluated as well.

Sun, Xiaolei; Rink, Nancy

2011-04-30T23:59:59.000Z

317

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: August 2011 Highlights: August 2011 Extreme heat in Texas, New Mexico, Colorado and Arizona drove significant increases in the retail sales of electricity in the Southwest. Wind generation increased in much of the United States, except the middle of the country where total generation declined. Bituminous coal stocks dropped 14% from August 2010. Key indicators Same Month 2010 Year to date Total Net Generation -1% 11% Residential Retail Price -6% 11% Cooling Degree-Days -3% 2% Natural Gas Price, Henry Hub -6% -9% Bituminous Coal Stocks -14% -14% Subbituminous Coal Stocks -10% -17% Heat wave drives record demand and wholesale prices in Texas A prolonged August heat wave in Texas stressed available generating capacity and produced very high wholesale prices in the Electric

318

Energy, Environmental, and Economic Analyses of Design Concepts for the Co-Production of Fuels and Chemicals with Electricity via Co-Gasification of Coal and Biomass  

SciTech Connect

The overall objective of this project was to quantify the energy, environmental, and economic performance of industrial facilities that would coproduce electricity and transportation fuels or chemicals from a mixture of coal and biomass via co-gasification in a single pressurized, oxygen-blown, entrained-flow gasifier, with capture and storage of CO{sub 2} (CCS). The work sought to identify plant designs with promising (Nth plant) economics, superior environmental footprints, and the potential to be deployed at scale as a means for simultaneously achieving enhanced energy security and deep reductions in U.S. GHG emissions in the coming decades. Designs included systems using primarily already-commercialized component technologies, which may have the potential for near-term deployment at scale, as well as systems incorporating some advanced technologies at various stages of R&D. All of the coproduction designs have the common attribute of producing some electricity and also of capturing CO{sub 2} for storage. For each of the co-product pairs detailed process mass and energy simulations (using Aspen Plus software) were developed for a set of alternative process configurations, on the basis of which lifecycle greenhouse gas emissions, Nth plant economic performance, and other characteristics were evaluated for each configuration. In developing each set of process configurations, focused attention was given to understanding the influence of biomass input fraction and electricity output fraction. Self-consistent evaluations were also carried out for gasification-based reference systems producing only electricity from coal, including integrated gasification combined cycle (IGCC) and integrated gasification solid-oxide fuel cell (IGFC) systems. The reason biomass is considered as a co-feed with coal in cases when gasoline or olefins are co-produced with electricity is to help reduce lifecycle greenhouse gas (GHG) emissions for these systems. Storing biomass-derived CO{sub 2} underground represents negative CO{sub 2} emissions if the biomass is grown sustainably (i.e., if one ton of new biomass growth replaces each ton consumed), and this offsets positive CO{sub 2} emissions associated with the coal used in these systems. Different coal:biomass input ratios will produce different net lifecycle greenhouse gas (GHG) emissions for these systems, which is the reason that attention in our analysis was given to the impact of the biomass input fraction. In the case of systems that produce only products with no carbon content, namely electricity, ammonia and hydrogen, only coal was considered as a feedstock because it is possible in theory to essentially fully decarbonize such products by capturing all of the coal-derived CO{sub 2} during the production process.

Eric Larson; Robert Williams; Thomas Kreutz; Ilkka Hannula; Andrea Lanzini; Guangjian Liu

2012-03-11T23:59:59.000Z

319

U.S. Coal Reserves  

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

Data - U.S. Energy Information Administration (EIA) Data - 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 Includes hydropower, solar, wind, geothermal, biomass and ethanol.

320

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

6 PM)" 6 PM)" "South Dakota" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",115,113,113,110,108,103,94,92,93,94,99,103,130,134,139,142,151,156,174,176,195 " Average heat value (Btu per pound)",6096,6025,6034,6057,6049,6972,9034,8687,8728,8630,8464,8540,8550,8560,8523,8711,8534,8530,8391,8386,8327 " Average sulfur Content (percent)",0.9,0.87,0.92,0.9,0.91,0.87,0.52,0.63,0.72,0.6,0.31,0.33,0.37,0.33,0.34,0.31,0.32,0.3,0.31,0.31,0.33 "Petroleum (cents per million Btu)1",565,488,"-",467,"-","-",598,"-","-","-","-","-","-",804,822,1245,1546,"-",1985,1248,1808

Note: This page contains sample records for the topic "demand coal electricity" 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

Techno-Economic Analysis of Coal-Based Hydrogen and Electricity Cogeneration Processes with CO2 Capture  

Science Journals Connector (OSTI)

The baseline coal gasification process and the novel membrane and syngas chemical-looping processes are evaluated. ... burner ...

Fanxing Li; Liang Zeng; Liang-Shih Fan

2010-07-29T23:59:59.000Z

322

Atoms to electricity. [Booklet  

SciTech Connect

This booklet explains the basic technology of nuclear fission power reactors, the nuclear fuel cycle and the role of nuclear energy as one of the domestic energy resources being developed to help meet our national energy demand. Nuclear power accounted for over 16 percent of the US electric energy supply in 1986 and was second only to coal as a source of our electric power. In the 1990s, nuclear energy is expected to provide almost 20 percent of the Nation's electricity. 38 figs., 5 tabs.

Not Available

1987-11-01T23:59:59.000Z

323

Atoms to electricity  

SciTech Connect

This booklet explains the basic technology of nuclear fission power reactors, the nuclear fuel cycle and the role of nuclear energy as one of the domestic energy resources being developed to help meet our national energy demand. Nuclear power accounted for some 12 percent of the US electric energy supply in 1982. In the 1990's, it is expected to become second only to coal as a source of our electric power, almost doubling its present contribution to our national electricity supply. 14 references, 40 figures, 5 tables.

Not Available

1983-11-01T23:59:59.000Z

324

WCI Case for Coal  

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

Coal Coal The role of as an energy source The role of coal as an energy source Key Messages * Energy demand has grown strongly and will continue to increase, particularly in developing countries where energy is needed for economic growth and poverty alleviation. * All energy sources will be needed to satisfy that demand by providing a diverse and balanced supply mix. * Coal is vital for global energy security. It is abundantly available, affordable, reliable and easy and safe to transport. * In an energy hungry world the challenge for coal, as for other fossil fuels, is to further substantially reduce its greenhouse gas and other emissions, while continuing to make a major contribution to economic and social development and energy security. * Coal is part way down a technology pathway that has already delivered major

325

Methodology and a preliminary data base for examining the health risks of electricity generation from uranium and coal fuels  

SciTech Connect

An analytical model was developed to assess and examine the health effects associated with the production of electricity from uranium and coal fuels. The model is based on a systematic methodology that is both simple and easy to check, and provides details about the various components of health risk. A preliminary set of data that is needed to calculate the health risks was gathered, normalized to the model facilities, and presented in a concise manner. Additional data will become available as a result of other evaluations of both fuel cycles, and they should be included in the data base. An iterative approach involving only a few steps is recommended for validating the model. After each validation step, the model is improved in the areas where new information or increased interest justifies such upgrading. Sensitivity analysis is proposed as the best method of using the model to its full potential. Detailed quantification of the risks associated with the two fuel cycles is not presented in this report. The evaluation of risks from producing electricity by these two methods can be completed only after several steps that address difficult social and technical questions. Preliminary quantitative assessment showed that several factors not considered in detail in previous studies are potentially important. 255 refs., 21 figs., 179 tabs.

El-Bassioni, A.A.

1980-08-01T23:59:59.000Z

326

ADVANCED FLUE GAS CONDITIONING AS A RETROFIT UPGRADE TO ENHANCE PM COLLECTION FROM COAL-FIRED ELECTRIC UTILITY BOILERS  

SciTech Connect

The U.S. Department of Energy and ADA Environmental Solutions are engaged in a project to develop commercial flue gas conditioning additives. The objective is to develop conditioning agents that can help improve particulate control performance of smaller or under-sized electrostatic precipitators on utility coal-fired boilers. The new chemicals will be used to control both the electrical resistivity and the adhesion or cohesivity of the fly ash. There is a need to provide cost-effective and safer alternatives to traditional flue gas conditioning with SO{sub 3} and ammonia. During this reporting quarter, two cohesivity-specific additive formulations, ADA-44C and ADA-51, were evaluated in a full-scale trial at the American Electric Power Conesville plant. Ammonia conditioning was also evaluated for comparison. ADA-51 and ammonia conditioning significantly reduced rapping and non-rapped particulate re-entrainment based on stack opacity monitor data. Based on the successful tests to date, ADA-51 will be evaluated in a long-term test.

Kenneth E. Baldrey

2003-02-01T23:59:59.000Z

327

Near-Term Implications of a Ban on New Coal-Fired Power Plants in the United States  

Science Journals Connector (OSTI)

A national ban on new coal-fired power plants does not lead to CO2 reductions of the scale required under proposed federal legislation such as Lieberman-Warner but would greatly increase the fraction of time when natural gas sets the price of electricity, even with aggressive wind and demand response policies. ... In the demand response scenario, per capital demand growth is zero. ...

Adam Newcomer; Jay Apt

2009-04-27T23:59:59.000Z

328

High-Performance with Solar Electric Reduced Peak Demand: Premier Homes Rancho Cordoba, CA- Building America Top Innovation  

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

This Building America Innovations profile describes Building America solar home research that has demonstrated the ability to reduce peak demand by 75%. Numerous field studies have monitored power production and system effectiveness.

329

5. annual clean coal technology conference: powering the next millennium. Volume 2  

SciTech Connect

The Fifth Annual Clean Coal Technology Conference focuses on presenting strategies and approaches that will enable clean coal technologies to resolve the competing, interrelated demands for power, economic viability, and environmental constraints associated with the use of coal in the post-2000 era. The program addresses the dynamic changes that will result from utility competition and industry restructuring, and to the evolution of markets abroad. Current projections for electricity highlight the preferential role that electric power will have in accomplishing the long-range goals of most nations. Increase demands can be met by utilizing coal in technologies that achieve environmental goals while keeping the cost- per-unit of energy competitive. Results from projects in the DOE Clean Coal Technology Demonstration Program confirm that technology is the pathway to achieving these goals. The industry/government partnership, cemented over the past 10 years, is focused on moving the clean coal technologies into the domestic and international marketplaces. The Fifth Annual Clean Coal Technology Conference provides a forum to discuss these benchmark issues and the essential role and need for these technologies in the post-2000 era. This volume contains technical papers on: advanced coal process systems; advanced industrial systems; advanced cleanup systems; and advanced power generation systems. In addition, there are poster session abstracts. Selected papers from this proceedings have been processed for inclusion in the Energy Science and Technology database.

NONE

1997-06-01T23:59:59.000Z

330

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

6 PM)" 6 PM)" "Alabama" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",184,181,173,176,167,156,154,154,157,148,141,141,142,147,152,179,211,206,271,268,282 " Average heat value (Btu per pound)",12094,12107,12061,12092,12088,11861,11794,11584,11519,10963,10951,10990,10828,10977,10878,10950,10879,10644,10659,10507,10633 " Average sulfur Content (percent)",1.51,1.4,1.43,1.33,1.3,1.2,1.24,1.13,1.13,1.02,0.91,0.92,0.94,0.95,0.84,0.97,0.94,0.88,0.89,0.92,0.99 "Petroleum (cents per million Btu)1",507,512,460,425,402,376,446,405,288,326,652,552,509,560,754,1148,1327,1107,1672,1249,1589 " Average heat value (Btu per gallon)",130098,137126,137164,137671,137864,138276,139383,139645,139510,139140,137395,144286,140588,141395,142757,141012,140469,143452,140050,137243,137733

331

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

1 PM)" 1 PM)" "Nebraska" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",75,75,75,75,77,75,72,59,59,55,56,57,58,60,66,71,80,88,90,133,142 " Average heat value (Btu per pound)",8561,8542,8553,8561,8571,8594,8599,8595,8584,8498,8632,8585,8654,8673,8574,8570,8514,8511,8496,8544,8547 " Average sulfur Content (percent)",0.35,0.35,0.37,0.35,0.35,0.33,0.34,0.32,0.27,0.3,0.3,0.31,0.3,0.29,0.32,0.31,0.3,0.31,0.31,0.31,0.28 "Petroleum (cents per million Btu)1",703,457,465,248,402,224,511,450,333,432,649,656,555,457,712,1343,1534,1669,1772,1056,1711 " Average heat value (Btu per gallon)",138043,137600,137586,107945,137640,103081,137621,137567,132550,137671,137750,138571,138043,138040,136976,138119,138124,138007,139452,140500,137895

332

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

8 PM)" 8 PM)" "Louisiana" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",170,165,153,158,154,155,151,148,143,140,132,131,127,134,138,151,166,185,210,204,216 " Average heat value (Btu per pound)",8194,8223,8122,8092,8136,8110,8171,8102,8097,8149,7933,8030,8095,8023,8146,8136,8205,8246,8183,8201,8114 " Average sulfur Content (percent)",0.49,0.49,0.5,0.52,0.51,0.58,0.57,0.64,0.56,0.58,0.63,0.74,0.52,0.5,0.51,0.54,0.49,0.39,0.41,0.39,0.39 "Petroleum (cents per million Btu)1",371,413,388,223,269,348,327,302,222,204,459,519,63,247,286,427,300,196,425,195,296 " Average heat value (Btu per gallon)",144962,143214,141950,152148,147869,141543,147221,153519,153400,154469,149843,145238,140393,145807,147379,147057,142607,139310,140002,136969,136986

333

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

7 PM)" 7 PM)" "North Carolina" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",178,178,173,170,168,163,148,143,144,144,143,159,176,178,200,240,269,274,326,359,352 " Average heat value (Btu per pound)",12544,12506,12456,12465,12416,12461,12422,12368,12398,12450,12448,12380,12422,12423,12345,12309,12268,12374,12243,12333,12270 " Average sulfur Content (percent)",0.96,0.94,0.92,0.96,0.95,0.86,0.89,0.9,0.89,0.85,0.82,0.86,0.85,0.87,0.86,0.88,0.91,1.01,1.01,1.04,1.01 "Petroleum (cents per million Btu)1",512,473,441,405,384,382,468,428,311,398,616,584,467,623,715,997,1356,1042,1513,1014,1433 " Average heat value (Btu per gallon)",138229,138317,138450,138610,138238,138148,138298,138264,138167,138169,138360,145952,144098,140848,141338,142869,139114,146617,146483,146243,144814

334

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

9 PM)" 9 PM)" "Wisconsin" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",136,136,133,121,121,114,106,109,107,102,102,105,112,112,118,129,150,170,198,206,218 " Average heat value (Btu per pound)",9642,9643,9725,9490,9565,9351,9222,9375,9299,9115,9165,9500,9089,9006,9030,9088,8975,8967,9025,8920,8964 " Average sulfur Content (percent)",0.81,0.81,0.71,0.49,0.51,0.46,0.46,0.5,0.46,0.39,0.35,0.37,0.41,0.38,0.39,0.38,0.36,0.36,0.37,0.38,0.4 "Petroleum (cents per million Btu)1",526,312,310,153,221,177,193,180,83,81,88,146,111,108,109,150,203,204,356,222,240 " Average heat value (Btu per gallon)",139200,113495,110433,92736,103860,95883,91924,90760,75079,73869,74440,139048,133712,134343,135093,135238,134333,134845,136126,134033,131245

335

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

8 PM)" 8 PM)" "Indiana" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",136,134,131,127,127,125,119,116,112,111,108,114,117,120,121,140,152,161,193,202,214 " Average heat value (Btu per pound)",10562,10569,10628,10539,10535,10338,10357,10461,10517,10620,10604,10540,10593,10550,10601,10756,10638,10588,10486,10470,10498 " Average sulfur Content (percent)",2.06,1.98,1.88,1.78,1.76,1.57,1.59,1.61,1.63,1.58,1.51,1.43,1.48,1.5,1.53,1.72,1.61,1.74,1.71,1.73,1.76 "Petroleum (cents per million Btu)1",191,297,218,365,390,298,198,150,184,170,245,220,208,311,330,803,1394,1337,2002,1002,1571 " Average heat value (Btu per gallon)",89740,105529,96317,126976,137426,115914,90057,81174,100264,90095,90071,149762,142836,138660,135267,139405,139621,140607,139538,139436,139390

336

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

1 PM)" 1 PM)" "Texas" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",145,150,149,144,135,134,129,126,124,120,123,133,126,125,131,129,139,149,162,168,184 " Average heat value (Btu per pound)",7291,7225,7234,7284,7346,7346,7440,7423,7509,7506,7548,7635,7677,7605,7641,7611,7665,7681,7759,7787,7705 " Average sulfur Content (percent)",0.74,0.75,0.76,0.75,0.73,0.77,0.71,0.75,0.71,0.65,0.65,0.67,0.68,0.78,0.77,0.74,0.67,0.6,0.56,0.61,0.61 "Petroleum (cents per million Btu)1",517,471,399,179,211,283,473,342,113,96,617,556,200,423,171,248,267,240,312,213,423 " Average heat value (Btu per gallon)",141838,139760,140129,112764,120681,117555,138383,114810,99067,80493,135419,141905,140340,139979,137700,137955,137876,136814,136638,136569,135686

337

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

6 PM)" 6 PM)" "Missouri" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",135,134,134,124,110,98,95,93,92,93,92,96,90,92,93,101,111,133,151,153,159 " Average heat value (Btu per pound)",10400,10298,10321,9860,9718,9216,9063,8994,8938,8948,8913,8940,8875,8865,8838,8854,8808,8825,8837,8802,8801 " Average sulfur Content (percent)",2.01,1.84,1.8,1.02,1.03,0.57,0.58,0.47,0.37,0.34,0.3,0.36,0.36,0.37,0.38,0.37,0.36,0.38,0.38,0.38,0.36 "Petroleum (cents per million Btu)1",280,230,210,113,101,110,183,292,118,88,263,134,118,348,279,1236,1457,1713,1829,1022,1607 " Average heat value (Btu per gallon)",107890,131371,136233,83795,79640,79069,95638,123143,89640,76829,94214,136667,136381,137769,139288,137693,137188,137476,137340,137948,137655

338

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

0 PM)" 0 PM)" "Iowa" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",112,110,110,101,99,99,94,94,88,82,82,81,89,89,93,98,105,108,127,134,142 " Average heat value (Btu per pound)",8892,8890,8867,8660,8783,8678,8658,8662,8636,8581,8626,9000,8648,8705,8665,8668,8612,8619,8605,8657,8585 " Average sulfur Content (percent)",0.7,0.67,0.67,0.52,0.57,0.49,0.45,0.45,0.44,0.4,0.35,0.37,0.39,0.43,0.44,0.42,0.44,0.41,0.41,0.42,0.37 "Petroleum (cents per million Btu)1",518,355,158,127,144,96,117,141,141,399,643,617,579,635,459,1077,474,603,1023,1038,878 " Average heat value (Btu per gallon)",137943,123305,84117,83079,86795,77324,78400,83517,88176,139340,138731,139524,139667,139171,137162,139200,134952,135219,133214,136726,133860

339

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

50 PM)" 50 PM)" "Georgia" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",179,180,180,178,169,167,158,159,155,155,154,166,168,172,180,218,240,261,307,362,390 " Average heat value (Btu per pound)",11893,11936,12039,12148,11774,11576,11581,11755,11750,11740,11559,11730,11686,11668,11024,11058,10994,10983,10947,10933,10891 " Average sulfur Content (percent)",1.63,1.63,1.68,1.37,1.05,0.81,0.83,0.84,0.85,0.8,0.76,0.81,0.79,0.82,0.78,0.81,0.82,0.78,0.78,0.76,0.78 "Petroleum (cents per million Btu)1",486,474,434,347,396,378,431,421,328,390,691,668,549,268,289,433,356,537,838,552,667 " Average heat value (Btu per gallon)",139812,138000,140514,142390,138483,139631,140676,140471,138495,138495,138498,145714,138348,134648,136533,141855,135864,141493,138081,138371,137129

340

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

0 PM)" 0 PM)" "Arizona" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",143,141,137,135,137,139,144,142,133,133,124,125,126,127,130,141,144,159,174,181,180 " Average heat value (Btu per pound)",10482,10356,10303,10271,10281,10274,10232,10159,10186,10257,10229,10145,10232,10081,10211,10088,10011,9946,9828,9712,9685 " Average sulfur Content (percent)",0.49,0.51,0.51,0.49,0.51,0.53,0.55,0.54,0.55,0.55,0.56,0.58,0.6,0.64,0.57,0.57,0.57,0.57,0.59,0.65,0.66 "Petroleum (cents per million Btu)1",446,499,467,511,428,510,539,532,429,480,860,706,654,767,859,1403,1625,1671,2102,1300,1807 " Average heat value (Btu per gallon)",142831,139662,140379,140533,142148,139933,142293,140336,138850,138690,138607,143333,139567,139550,133595,140912,139114,140914,138424,135340,135993

Note: This page contains sample records for the topic "demand coal electricity" 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

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

0 PM)" 0 PM)" "Pennsylvania" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",152,155,148,144,143,136,138,136,135,130,115,121,125,122,137,159,172,175,210,230,241 " Average heat value (Btu per pound)",12241,12302,12399,12443,12368,12315,12321,12279,12323,12552,12670,11240,12111,11733,11615,11741,11459,11400,11079,10940,11063 " Average sulfur Content (percent)",2.16,2.14,2.12,2.07,2.11,2.12,2.09,2.13,2.19,2.15,2.26,2.12,1.95,1.95,2,1.94,2.09,2.08,2.09,2.21,2.39 "Petroleum (cents per million Btu)1",322,247,236,236,249,224,289,225,184,186,292,373,464,467,451,746,762,916,1181,762,1484 " Average heat value (Btu per gallon)",140462,137574,132824,141621,141245,128574,132045,126590,121550,112919,125114,146429,145976,144660,144343,146174,139310,139290,138850,138731,139112

342

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

47 PM)" 47 PM)" "Florida" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",185,186,182,177,178,179,174,173,165,159,157,172,176,176,192,231,256,256,297,339,347 " Average heat value (Btu per pound)",12364,12351,12370,12332,12293,12296,12193,12122,12144,12299,12330,12105,12263,12281,12249,12227,12142,12116,11929,11957,12024 " Average sulfur Content (percent)",1.73,1.73,1.68,1.57,1.6,1.47,1.55,1.59,1.55,1.53,1.59,1.54,1.55,1.44,1.44,1.38,1.37,1.35,1.38,1.45,1.67 "Petroleum (cents per million Btu)1",302,225,242,220,226,247,278,254,193,236,409,339,324,389,392,581,568,712,1003,727,856 " Average heat value (Btu per gallon)",151010,151217,151471,151660,151248,150633,148417,143486,143812,147529,147162,150000,149657,148431,148183,147510,146124,147276,146433,144745,143138

343

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

1 PM)" 1 PM)" "Virginia" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",155,152,147,147,145,145,142,139,138,134,133,159,169,167,195,233,245,249,277,308,328 " Average heat value (Btu per pound)",12714,12768,12830,12817,12778,12743,12597,12554,12603,12702,12814,12730,12845,12826,12713,12650,12592,12531,12492,12501,12476 " Average sulfur Content (percent)",0.96,1,1.03,1,0.99,1.03,0.99,1.01,0.97,1.3,0.98,1.02,1.16,0.97,0.94,1,1.04,0.94,0.92,1,1.02 "Petroleum (cents per million Btu)1",384,223,247,213,216,251,290,282,204,230,424,357,380,499,497,761,875,922,1380,978,1315 " Average heat value (Btu per gallon)",146360,146626,148881,150319,149743,146179,146988,148219,150157,150660,151002,148810,149779,149367,150757,149019,150090,148238,147390,145531,145626

344

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

1 PM)" 1 PM)" "Minnesota" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",125,126,119,113,114,114,107,109,107,110,111,102,106,108,107,113,122,150,169,164,174 " Average heat value (Btu per pound)",8788,8802,8838,8844,8821,8828,8914,8895,8883,8883,8929,8930,8860,8895,8914,8909,8911,8853,8902,8878,8812 " Average sulfur Content (percent)",0.51,0.48,0.45,0.44,0.46,0.47,0.45,0.45,0.44,0.44,0.43,0.47,0.45,0.46,0.44,0.44,0.44,0.45,0.46,0.46,0.43 "Petroleum (cents per million Btu)1",93,88,83,80,85,85,90,78,74,76,54,65,60,85,110,157,152,444,941,1210,1568 " Average heat value (Btu per gallon)",73719,72052,72467,71631,73031,73310,74050,72267,72781,71055,72531,132857,131267,133093,134967,133848,134976,132929,136357,139955,140595

345

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

4 PM)" 4 PM)" "Washington" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",158,155,137,136,136,144,157,163,149,156,169,146,140,143,133,154,173,217,216,227 " Average heat value (Btu per pound)",8135,8014,8189,8125,8400,8267,7936,8043,8215,8224,8310,8014,8052,8151,8131,8532,9211,8366,8403,8391 " Average sulfur Content (percent)",0.7,0.66,0.66,0.71,0.65,0.69,0.71,0.62,0.59,0.75,0.73,1.01,1,0.93,0.75,0.69,0.34,0.32,0.33,0.34 "Petroleum (cents per million Btu)1",511,573,466,469,472,485,509,499,405,479,664,241,325,412,562,1629,663,1229,965,1383 " Average heat value (Btu per gallon)",140948,140176,139924,139936,139933,139952,139931,139943,139907,140000,140000,137098,145438,139331,137340,142807,138598,139040,139905,130674

346

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

7 PM)" 7 PM)" "West Virginia" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",147,152,147,142,139,127,125,124,122,118,120,125,121,125,135,153,167,173,222,254,239 " Average heat value (Btu per pound)",12452,12505,12524,12489,12468,12418,12378,12398,12305,12361,12281,12085,12103,12166,12061,11976,11967,12046,11897,11959,12034 " Average sulfur Content (percent)",1.89,1.92,2.05,1.94,1.87,1.98,1.93,1.95,1.86,1.84,1.42,1.19,1.71,1.69,1.75,1.78,1.79,2.04,2,2.13,2.4 "Petroleum (cents per million Btu)1",572,537,484,462,442,439,529,464,371,463,721,666,543,725,785,959,901,1063,2146,1434,1738 " Average heat value (Btu per gallon)",139293,139090,139486,139229,139324,138988,138655,138883,139186,139100,139324,137143,122840,140526,140943,141667,143471,143817,135557,137855,138536

347

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

32 PM)" 32 PM)" "Wyoming" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",84,83,76,80,80,82,82,81,79,76,78,77,79,82,87,95,100,105,117,120,132 " Average heat value (Btu per pound)",8811,8756,8840,8779,8766,8738,8716,8787,8794,8784,8803,8880,8759,8826,8826,8814,8708,8684,8769,8791,8806 " Average sulfur Content (percent)",0.54,0.51,0.52,0.51,0.52,0.5,0.52,0.54,0.53,0.51,0.5,0.48,0.49,0.49,0.48,0.49,0.51,0.49,0.51,0.51,0.53 "Petroleum (cents per million Btu)1",527,494,479,473,444,445,546,517,406,476,724,707,553,714,950,1317,1628,1772,2146,1369,1736 " Average heat value (Btu per gallon)",138848,139167,139150,139060,138986,139281,139171,138821,139138,139102,139219,146905,139448,139593,139338,139638,139333,139448,139926,139824,139238

348

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

3 PM)" 3 PM)" "Delaware" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",181,178,173,169,162,162,159,157,156,159,152,217,178,190,220,281,308,286,352,334,355 " Average heat value (Btu per pound)",13035,13053,13064,13027,12954,13085,13020,13062,12962,12935,12995,11495,12858,12803,12530,12222,12401,12524,12452,12567,12550 " Average sulfur Content (percent)",0.97,0.96,1.03,0.94,0.92,1,1.01,0.99,0.98,0.97,1.01,0.67,0.91,0.9,0.83,0.67,0.74,0.73,0.74,0.8,0.77 "Petroleum (cents per million Btu)1",278,238,242,230,259,261,321,278,215,244,446,380,406,576,611,863,1351,1304,1811,1120,1624 " Average heat value (Btu per gallon)",151269,151483,150760,151286,149733,152012,151900,151464,150957,150998,150486,148095,148964,147895,146312,147248,139117,144114,143781,137938,136498

349

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

9 PM)" 9 PM)" "New Jersey" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",180,178,173,177,182,178,175,176,159,145,139,227,187,180,205,218,273,289,333,401,416 " Average heat value (Btu per pound)",13429,13402,13465,13397,13341,13282,12993,13084,13113,13150,13153,13000,13137,13056,12868,12644,12770,11890,12073,11491,11758 " Average sulfur Content (percent)",1.16,1.27,1.29,1.29,1.29,1.21,1.36,1.24,1.13,1.14,1.13,1.57,1.23,1.11,1.58,1.14,1.17,0.88,1.03,0.9,1.05 "Petroleum (cents per million Btu)1",360,302,303,268,290,286,359,299,242,288,484,454,468,604,602,985,970,1147,1547,1011,1495 " Average heat value (Btu per gallon)",148298,148469,148864,149283,148376,149310,147321,148488,148655,149295,149557,141667,143162,139250,135095,134802,141505,136271,138217,136595,139952

350

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

4 PM)" 4 PM)" "New York" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",161,159,149,150,145,141,143,142,143,145,149,142,155,159,176,213,240,241,257,273,305 " Average heat value (Btu per pound)",12846,12923,12978,12914,12959,13051,13013,13105,13052,13034,13117,13025,13019,12545,12063,11832,11584,11382,11248,11187,10982 " Average sulfur Content (percent)",1.84,1.77,1.65,1.55,1.71,1.79,1.8,1.8,1.75,1.67,1.12,1.97,1.78,1.8,1.66,1.4,1.36,1.37,1.43,1.29,1.31 "Petroleum (cents per million Btu)1",360,272,264,257,251,263,319,284,203,237,431,350,366,493,486,731,800,799,1390,811,1144 " Average heat value (Btu per gallon)",150036,150812,150898,151012,149567,148624,149671,150326,150740,150569,151162,149286,149371,149998,149024,148914,150136,151036,148410,146824,144319

351

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

2 PM)" 2 PM)" "New Mexico" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",132,138,132,137,141,142,143,134,131,133,138,147,153,143,148,151,156,179,199,190,206 " Average heat value (Btu per pound)",9117,9092,9013,8991,9043,9033,9116,9069,9082,9132,9206,9250,9444,9164,9225,9173,9282,9198,9173,9226,8963 " Average sulfur Content (percent)",0.79,0.8,0.81,0.81,0.82,0.8,0.8,0.81,0.8,0.8,0.8,0.72,0.73,0.73,0.72,0.79,0.76,0.77,0.75,0.77,0.75 "Petroleum (cents per million Btu)1",525,535,516,506,465,490,587,575,439,502,758,631,614,754,956,1293,1695,1879,2353,1526,1942 " Average heat value (Btu per gallon)",138098,136000,135676,136000,136000,136000,136000,136000,136000,136000,136000,139524,136000,136048,136007,136252,136024,136026,134186,134086,134219

352

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

6 PM)" 6 PM)" "Kentucky" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",119,118,116,117,116,111,106,105,106,106,102,110,119,123,137,152,170,175,214,217,226 " Average heat value (Btu per pound)",11558,11552,11620,11697,11683,11625,11536,11571,11579,11582,11604,11425,11464,11498,11550,11620,11568,11661,11534,11472,11460 " Average sulfur Content (percent)",2.59,2.53,2.44,2.39,2.34,2.42,2.47,2.5,2.37,2.27,2.29,2.15,2.16,2.12,2.09,2.21,2.23,2.22,2.33,2.54,2.58 "Petroleum (cents per million Btu)1",575,505,479,204,153,318,310,361,278,275,559,567,465,227,127,117,127,127,203,168,217 " Average heat value (Btu per gallon)",138943,138998,138993,90574,87876,118024,105736,116976,115748,110888,125371,139286,137640,132664,131967,132710,132305,134155,134110,134810,135140

353

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

4 PM)" 4 PM)" "United States" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",145,145,141,139,136,132,129,127,125,122,120,123,125,128,136,154,169,177,207,221,227 " Average heat value (Btu per pound)",10465,10378,10395,10315,10338,10248,10263,10275,10241,10163,10115,10200,10168,10137,10074,10107,10063,10028,9947,9902,9843 " Average sulfur Content (percent)",1.35,1.3,1.29,1.18,1.17,1.08,1.1,1.11,1.06,1.01,0.93,0.89,0.94,0.97,0.97,0.98,0.97,0.96,0.97,1.01,1.04 "Petroleum (cents per million Btu)1",335,253,251,237,242,257,303,273,202,236,418,369,334,433,429,644,623,717,1087,702,954 " Average heat value (Btu per gallon)",149536,150093,150293,149983,149324,149371,149367,149838,149736,149407,149857,147857,147902,147086,147286,146481,143883,144545,142205,141321,140598

354

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

3 PM)" 3 PM)" "Kansas" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",124,123,118,102,102,102,99,102,98,95,98,105,98,101,103,112,119,123,141,143,151 " Average heat value (Btu per pound)",8948,8998,8900,8654,8708,8730,8827,8766,8696,8628,8672,8700,8571,8619,8626,8569,8607,8582,8545,8526,8569 " Average sulfur Content (percent)",0.58,0.59,0.49,0.43,0.49,0.43,0.49,0.48,0.45,0.43,0.42,0.43,0.44,0.48,0.44,0.44,0.45,0.41,0.39,0.4,0.38 "Petroleum (cents per million Btu)1",540,432,438,402,397,212,412,282,266,319,400,336,273,362,407,556,485,340,711,428,569 " Average heat value (Btu per gallon)",138176,138367,139117,138633,138890,104067,141940,154117,144688,147607,154871,154286,157186,156948,156855,155174,144821,137017,136552,137645,137600

355

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

5 PM)" 5 PM)" "Illinois" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",175,171,174,170,161,163,163,155,156,144,115,119,119,116,115,119,126,134,158,165,170 " Average heat value (Btu per pound)",10789,10721,10666,10362,10181,9970,9878,9781,9700,9560,9690,9555,9253,9176,9120,9015,8937,8962,8892,8876,8896 " Average sulfur Content (percent)",2.07,2,1.91,1.63,1.46,1.14,1.16,1.17,1.1,1.03,1.11,1.1,0.7,0.66,0.65,0.62,0.53,0.52,0.5,0.48,0.5 "Petroleum (cents per million Btu)1",395,309,304,297,280,232,298,309,234,291,324,579,524,540,464,1286,1465,1744,2432,1505,1765 " Average heat value (Btu per gallon)",148831,149029,149843,148693,148945,124129,128245,126779,130829,130367,96874,153333,140345,147876,143595,137405,141102,137319,137310,137181,137507

356

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

4 PM)" 4 PM)" "Mississippi" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",165,167,160,164,157,153,151,155,154,155,152,163,159,154,169,210,231,271,301,301,289 " Average heat value (Btu per pound)",12543,12555,12507,12338,11312,11221,11023,10486,10569,11062,11549,11670,9723,9235,9087,8993,8961,9290,9276,8541,8519 " Average sulfur Content (percent)",1.64,1.56,1.69,1.41,1.02,1.04,0.93,0.68,0.75,0.74,0.85,0.7,0.63,0.59,0.57,0.57,0.6,0.59,0.55,0.53,0.69 "Petroleum (cents per million Btu)1",243,216,200,176,164,374,224,269,199,154,333,377,428,412,465,651,830,763,1042,1193,1076 " Average heat value (Btu per gallon)",151229,151257,152595,153436,152705,139507,154381,156867,157169,157967,155569,154524,145986,155336,155638,155064,155619,154738,149826,142902,151357

357

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

6 PM)" 6 PM)" "New Hampshire" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",178,174,169,161,152,159,161,163,161,152,148,167,180,170,202,244,256,290,353,366,380 " Average heat value (Btu per pound)",13303,13247,13260,13179,13032,13111,13146,13054,13133,13133,13114,13050,13245,13262,13199,13087,13196,13109,12886,12849,12922 " Average sulfur Content (percent)",1.81,1.43,1.61,1.62,1.52,1.38,1.56,1.42,1.4,1.35,1.34,1.34,1.17,1.09,1.16,1.32,1.29,1.51,1.2,1.44,1.44 "Petroleum (cents per million Btu)1",227,180,186,184,200,233,254,264,187,214,345,337,371,374,406,595,782,914,1069,717,1345 " Average heat value (Btu per gallon)",154329,156712,156757,154129,153464,154402,154517,152621,151850,153221,153740,151190,152400,152724,152883,154024,155071,152450,152379,151240,146800

358

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

9 PM)" 9 PM)" "Montana" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",67,67,71,69,69,67,71,68,67,73,92,95,61,62,64,71,85,93,102,107,111 " Average heat value (Btu per pound)",8564,8522,8576,8496,8500,8520,8439,8426,8433,8435,6618,8380,8482,8515,8504,8447,8428,8426,8347,8409,8375 " Average sulfur Content (percent)",0.63,0.65,0.66,0.65,0.66,0.68,0.68,0.72,0.72,0.73,0.52,0.53,0.64,0.62,0.63,0.66,0.66,0.61,0.69,0.67,0.69 "Petroleum (cents per million Btu)1",543,472,509,526,463,491,565,529,466,491,"-","-",219,746,948,1274,173,90,135,83,73 " Average heat value (Btu per gallon)",141000,141000,141000,141000,141000,141000,141000,141000,141000,140100,"-","-",137148,136574,137064,126095,130833,137343,136819,139021,138571

359

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

4 PM)" 4 PM)" "Nevada" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",149,141,146,147,143,131,137,139,130,129,126,126,134,142,136,154,173,188,220,222,244 " Average heat value (Btu per pound)",11122,11121,11051,11012,11291,11075,11140,11169,11199,11257,11211,11210,11284,11120,11118,11176,11495,11151,10664,10505,10626 " Average sulfur Content (percent)",0.53,0.5,0.49,0.49,0.49,0.48,0.49,0.5,0.47,0.46,0.47,0.51,0.53,0.5,0.54,0.53,0.54,0.46,0.44,0.42,0.47 "Petroleum (cents per million Btu)1",314,393,331,358,329,337,552,508,380,453,722,585,600,601,473,990,1270,"-",2360,1382,1751 " Average heat value (Btu per gallon)",148233,147538,147779,148545,148195,146667,136898,138760,138845,139110,139110,151667,139110,138548,149914,141760,140610,"-",138938,138386,138452

360

Table 6. Electric Power Delivered Fuel Prices and Quality for Coal, Petroleum, N  

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

2 PM)" 2 PM)" "Ohio" "Fuel, Quality",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Coal (cents per million Btu)",152,148,144,141,144,142,134,132,136,136,146,131,123,121,133,154,170,171,205,239,224 " Average heat value (Btu per pound)",11882,11945,11983,12049,12052,12122,12056,11891,11913,11918,11823,11550,12143,12160,12098,12097,11525,11495,11444,11768,11563 " Average sulfur Content (percent)",2.44,2.63,2.57,2.39,2.34,1.89,2.08,2.01,2.01,1.98,1.92,2.07,1.98,2.14,2.25,2.16,1.68,1.7,1.96,2.2,2.28 "Petroleum (cents per million Btu)1",459,381,233,187,197,349,347,426,202,348,635,601,532,731,777,1291,1224,1619,591,488,760 " Average heat value (Btu per gallon)",142917,131114,93026,81274,82224,128733,105121,135936,105736,128624,133586,142143,125426,137810,137986,138193,138150,138026,134567,136305,136052

Note: This page contains sample records for the topic "demand coal electricity" 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

MS_Coal_Studyguide.indd  

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

COAL-OUR MOST ABUNDANT FUEL COAL-OUR MOST ABUNDANT FUEL America has more coal than any other fossil fuel resource. Th e United States also has more coal reserves than any other single country in the world. In fact, 1/4 of all the known coal in the world is in the United States. Th e United States has more energy in coal that can be mined than the rest of the world has in oil that can be pumped from the ground. Currently, coal is mined in 25 of the 50 states. Coal is used primarily in the United States to generate electricity. In fact, it is burned in power plants to produce nearly half of the electricity we use. A stove uses about half a ton of coal a year. A water heater uses about two tons of coal a year. And a refrigerator, that's another half-ton a year. Even though you

362

Discharge produces hydrocarbons from coal  

Science Journals Connector (OSTI)

Discharge produces hydrocarbons from coal ... Studies of the reactions of coal in electric discharges by two chemists at the U.S. Bureau of Mines' Pittsburgh Coal Research Center may lead to improved ways of producing acetylene and other useful chemicals from coal. ... Other workers have produced high yields of acetylene from coal by extremely rapid pyrolysis using energy sources such as plasma jets, laser beams, arc-image reactors, and flash heaters. ...

1968-01-22T23:59:59.000Z

363

The use of electrical resistance in the plant stem to measure plant response to soil moisture tension and evaporative demand  

E-Print Network (OSTI)

. . . . . . , . . . . . . ~. . . . . . . . . 30 10- Diurnal cotton plant stem electrical resistance readings as recorded simultaneously from three soil moisture levels. ~ 36 Flot 1-P (cotton), Diurnal cotton plant stem electrical resistance readings with soil moisture tension equal to 13... atsespheresl ~ ~ a ~ ~ ~ ~ ~ . ~ ~ ~ ~ ta ~ I ~ ~ ~ t ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ae ~ ~ ~ a ~ ~ t ~ ~ ~ ~ 37 13 ' Electrical resistance in the plant stem, and evapotrans- piration in non-irrigated and irrigated cotton plots during one diurnal period. . ~ 39 Plots...

Box, James E.

1956-01-01T23:59:59.000Z

364

Thermal Energy Storage for Electricity Peak-demand Mitigation: A Solution in Developing and Developed World Alike  

E-Print Network (OSTI)

N ATIONAL L ABORATORY Thermal Energy Storage for Electricity20, 2012. I. Dincer, On thermal energy storage systems andin research on cold thermal energy storage, International

DeForest, Nicholas

2014-01-01T23:59:59.000Z

365

Demand Response-Enabled Model Predictive HVAC Load Control in Buildings using Real-Time Electricity Pricing.  

E-Print Network (OSTI)

??A practical cost and energy efficient model predictive control (MPC) strategy is proposed for HVAC load control under dynamic real-time electricity pricing. The MPC strategy (more)

Avci, Mesut

2013-01-01T23:59:59.000Z

366

STEO November 2012 - coal supplies  

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

Despite drop in domestic coal production, U.S. coal exports to reach Despite drop in domestic coal production, U.S. coal exports to reach record high in 2012. While U.S. coal production is down 7 percent this year due in part to utilities switching to low-priced natural gas to generate electricity, American coal is still finding plenty of buyers in overseas markets. U.S. coal exports are expected to hit a record 125 million tons in 2012, the U.S. Energy Information Administration says in its new monthly short-term energy outlook. Coal exports are expected to decline in 2013, primarily because of continuing economic weakness in Europe, lower international coal prices, and higher coal production in Asia. However, U.S. coal exports next year are still expected to top 100 million tons for the third year in a row

367

ADVANCED FLUE GAS CONDITIONING AS A RETROFIT UPGRADE TO ENHANCE PM COLLECTION FROM COAL-FIRED ELECTRIC UTILITY BOILERS  

SciTech Connect

The U.S. Department of Energy and ADA Environmental Solutions are engaged in a project to develop commercial flue gas conditioning additives. The objective is to develop conditioning agents that can help improve particulate control performance of smaller or under-sized electrostatic precipitators on utility coal-fired boilers. The new chemicals will be used to control both the electrical resistivity and the adhesion or cohesivity of the fly ash. There is a need to provide cost-effective and safer alternatives to traditional flue gas conditioning with SO{sub 3} and ammonia. During this reporting quarter, further laboratory-screening tests of additive formulations were completed. For these tests, the electrostatic tensiometer method was used for determination of fly ash cohesivity. Resistivity was measured for each screening test with a multi-cell laboratory fly ash resistivity furnace constructed for this project. Also during this quarter chemical formulation testing was undertaken to identify stable and compatible resistivity/cohesivity liquid products.

Kenneth E. Baldrey

2001-09-01T23:59:59.000Z

368

ADVANCED FLUE GAS CONDITIONING AS A RETROFIT UPGRADE TO ENHANCE PM COLLECTION FROM COAL-FIRED ELECTRIC UTILITY BOILERS  

SciTech Connect

The U.S. Department of Energy and ADA Environmental Solutions are engaged in a project to develop commercial flue gas conditioning additives. The objective is to develop conditioning agents that can help improve particulate control performance of smaller or under-sized electrostatic precipitators on utility coal-fired boilers. The new chemicals will be used to control both the electrical resistivity and the adhesion or cohesivity of the fly ash. There is a need to provide cost-effective and safer alternatives to traditional flue gas conditioning with SO{sub 3} and ammonia. This quarterly report summarizes project activity for the period April-June, 2003. In this period there was limited activity and no active field trials. Results of ash analysis from the AEP Conesville demonstration were received. In addition, a site visit was made to We Energies Presque Isle Power Plant and a proposal extended for a flue gas conditioning trial with the ADA-51 cohesivity additive. It is expected that this will be the final full-scale evaluation on the project.

Kenneth E. Baldrey

2003-07-30T23:59:59.000Z

369

Review of China's Low-Carbon City Initiative and Developments in the Coal Industry  

E-Print Network (OSTI)

prices but rising coal prices). The Chinese government hasenergy price reform, the coal price of major state-ownedwith rising market coal prices but fixed electricity and

Fridley, David

2014-01-01T23:59:59.000Z

370

Hot Thermal Storage/Selective Energy System Reduces Electric Demand for Space Cooling As Well As Heating in Commercial Application  

E-Print Network (OSTI)

energy and off-peak electric resistance heating. Estimated energy and first cost savings, as compared with an all-electric VAV HVAC system, are: 30 to 50% in ductwork size and cost; 30% in fan energy; 25% in air handling equipment; 20 to 40% in utility...

Meckler, G.

1985-01-01T23:59:59.000Z

371

The Costs, Air Quality, and Human Health Effects of Meeting Peak Electricity Demand with Installed Backup Generators  

Science Journals Connector (OSTI)

E.G. thanks John Dawson, Rob Pinder, and Pavan Racherla for assistance with the PMCAMx model, and Janet Joseph, Peter Savio, and Gunnar Walmet from NYSERDA for useful information about backup generators and emergency demand response programs in New York City. ...

Elisabeth A. Gilmore; Lester B. Lave; Peter J. Adams

2006-10-21T23:59:59.000Z

372

Mass Market Demand Response  

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

Mass Market Demand Response Mass Market Demand Response Speaker(s): Karen Herter Date: July 24, 2002 - 12:00pm Location: Bldg. 90 Demand response programs are often quickly and poorly crafted in reaction to an energy crisis and disappear once the crisis subsides, ensuring that the electricity system will be unprepared when the next crisis hits. In this paper, we propose to eliminate the event-driven nature of demand response programs by considering demand responsiveness a component of the utility obligation to serve. As such, demand response can be required as a condition of service, and the offering of demand response rates becomes a requirement of utilities as an element of customer service. Using this foundation, we explore the costs and benefits of a smart thermostat-based demand response system capable of two types of programs: (1) a mandatory,

373

The National Energy Modeling System: An Overview 1998 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

ELECTRICITY MARKET MODULE ELECTRICITY MARKET MODULE blueball.gif (205 bytes) Electricity Capacity Planning Submodule blueball.gif (205 bytes) Electricity Fuel Dispatch Submodule blueball.gif (205 bytes) Electricity Finance and Pricing Submodule blueball.gif (205 bytes) Load and Demand-Side Management Submodule blueball.gif (205 bytes) Emissions The electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition,

374

The commercial feasibility of underground coal gasification in southern Thailand  

SciTech Connect

Underground Coal Gasification (UCG) is a clean coal technology with the commercial potential to provide low- or medium-Btu gas for the generation of electric power. While the abundance of economic coal and natural gas reserves in the United States of America (USA) has delayed the commercial development of this technology in the USA, potential for commercial development of UCG-fueled electric power generation currently exists in many other nations. Thailand has been experiencing sustained economic growth throughout the past decade. The use of UCG to provide electric power to meet the growing power demand appears to have commercial potential. A project to determine the commercial feasibility of UCG-fueled electric power generation at a site in southern Thailand is in progress. The objective of the project is to determine the commercial feasibility of using UCG for power generation in the Krabi coal mining area located approximately 1,000 kilometers south of Bangkok, Thailand. The project team has developed a detailed methodology to determine the technical feasibility, environmental acceptability, and commercial economic potential of UCG at a selected site. In the methodology, hydrogeologic conditions of the coal seam and surrounding strata are determined first. These results and information describing the local economic conditions are then used to assess the commercial potential of the UCG application. The methodology for evaluating the Krabi UCG site and current project status are discussed in this paper.

Solc, J.; Young, B.C.; Harju, J.A.; Schmit, C.R. [Univ. of North Dakota, Grand Forks, ND (United States). Energy and Environmental Research Center; Boysen, J.E. [B.C. Technologies, Ltd., Laramie, WY (United States); Kuhnel, R.A. [IIASES, Delft (Netherlands)

1996-12-31T23:59:59.000Z

375

Demand-Side Management Expenditures and the Market Value of U.S. Electric Utilities: Strategic Investment or Disinvestment?  

Science Journals Connector (OSTI)

For over eighty years the vertically integrated suppliers of electricity in the United States have been assigned exclusive territorial (consumer) franchises and closely regulated. Both the legal monopolies and th...

Douglas A. Houston

1998-01-01T23:59:59.000Z

376

Sixth clean coal technology conference: Proceedings. Volume 1: Policy papers  

SciTech Connect

The Sixth Clean Coal Technology Conference focused on the ability of clean coal technologies (CCTs) to meet increasingly demanding environmental requirements while simultaneously remaining competitive in both international and domestic markets. Conference speakers assessed environmental, economic, and technical issues and identified approaches that will help enable CCTs to be deployed in an era of competing, interrelated demands for energy, economic growth, and environmental protection. Recognition was given to the dynamic changes that will result from increasing competition in electricity and fuel markets and industry restructuring, both domestically and internationally. Volume 1 contains 38 papers arranged under the following topical sections: International business forum branch; Keynote session; Identification of the issues; CCTs--Providing for unprecedented environmental concerns; Domestic competitive pressures for CCTs; Financing challenges for CCTs; New markets for CCTs; Clean coal for the 21st century: What will it take? Conclusions and recommendations. The clean coal technologies discussed include advanced pulverized coal-fired boilers, atmospheric fluidized-bed combustion (FBC), pressurized FBC, integrated gasification combined-cycle systems, pressurized pulverized coal combustion, integrated gasification fuel cell systems, and magnetohydrodynamic power generation.

NONE

1998-12-01T23:59:59.000Z

377

Regional price targets appropriate for advanced coal extraction. [Forecasting to 1985 and 2000; USA; Regional analysis  

SciTech Connect

The object of the study is to provide a methodology for predicting coal prices in regional markets for the target time frames 1985 and 2000 that could subsequently be used to guide the development of an advanced coal extraction system. The model constructed for the study is a supply and demand model that focuses on underground mining, since the advanced technology is expected to be developed for these reserves by the target years. The supply side of the model is based on coal reserve data generated by Energy and Environmental Analysis, Inc. (EEA). Given this data and the cost of operating a mine (data from US Department of Energy and Bureau of Mines), the Minimum Acceptable Selling Price (MASP) is obtained. The MASP is defined as the smallest price that would induce the producer to bring the mine into production, and is sensitive to the current technology and to assumptions concerning miner productivity. Based on this information, market supply curves can then be generated. On the demand side of the model, demand by region is calculated based on an EEA methodology that emphasizes demand by electric utilities and demand by industry. The demand and supply curves are then used to obtain the price targets. This last step is accomplished by allocating the demands among the suppliers so that the combined cost of producing and transporting coal is minimized.

Terasawa, K.L.; Whipple, D.W.

1980-12-01T23:59:59.000Z

378

Market and Policy Barriers for Demand Response Providing Ancillary Services in U.S. Markets  

E-Print Network (OSTI)

Wholesale Electricity Demand Response Program Comparison,J. (2009) Open Automated Demand Response Communicationsin Demand Response for Wholesale Ancillary Services.

Cappers, Peter

2014-01-01T23:59:59.000Z

379

Statewide Electrical Energy Cost Savings and Peak Demand Reduction from the IECC Code-Compliant, Single-Family Residences in Texas (2002-2009)  

E-Print Network (OSTI)

peaking plant (i.e., capacity savings), the calculated demand savings in MW were then multiplied by the average capital cost of natural gas combined cycle power plant, $1,165 per kW (Kaplan, 2008) using a 15% reserve margin (Faruqui et al. 2007... to the 2001 and 2006 IECC codes. 72?F Heating, 75?F CoolingSpace Temperature Set point (Simulation adjustment3: Heating 72F, Cooling 75F) (b) Heat Pump House: 0.904 360 0.88 kW (Simulation adjustment3: 1.095 kW) HVAC System Type (a) Electric/Gas...

Kim, H; Baltazar, J.C.; Haberl, J.

380

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: January 2012 Electric Power Sector Coal Stocks: January 2012 Stocks Above normal temperatures in January have allowed electric utilities to significantly replinish stockpiles of coal. The upswing in coal stockpiles corresponds to decreasing consumption of coal at electric generators seen in the resource use section across all regions of the country. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. Along with coal stockpiles at electric power plants, the supply of coal significantly increased in January of 2012. Total bituminous coal days of burn increased 10 percent from January 2011 to 87, while subbituminous supply increased nearly 10

Note: This page contains sample records for the topic "demand coal electricity" 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

Coal Distribution Database, 2008  

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

4Q 2009 4Q 2009 April 2010 Quarterly Coal Distribution Table Format and Data Sources 4Q 2009 In keeping with EIA's efforts to increase the timeliness of its reports, this Quarterly Coal Distribution Report is a preliminary report, based on the most current data available from EIA's various monthly, quarterly and annual surveys of the coal industry and electric power generation industry. The final report will rely on the receipt of annual data to replace the imputed monthly data for smaller electric generation plants that are excluded from the monthly filing requirement, and final data for all other respondents. The Coal Distribution Report traces coal from the origin State to the destination State by transportation mode. The data sources beginning with the 2008 Coal Distribution Report

382

Making Fischer?Tropsch Fuels and Electricity from Coal and Biomass: Performance and Cost Analysis  

Science Journals Connector (OSTI)

We employ a unified analytical framework to systematically analyze 16 separate process designs, simulating for each detailed mass/energy balances using Aspen Plus software, and calculating their full lifecycle greenhouse gas (GHG) emissions. ... In the plant designs with electricity as a major coproduct, designated as once-through (OT) configurations (Figure 1b), the syngas passes only once through the synthesis reactor, and all of the unconverted syngas plus light gases from FTL refining are compressed and supplied to the power island where a gas turbine/steam turbine combined cycle (GTCC) provides the power needed to operate the plant, as well as a substantial amount of export power (up to 37% of the total plant output of fuel (LHV) and powersee Table 3). ... (27) The gasifier is followed by a tar cracking unit, modeled as an ATR with a syngas exit temperature of 882 C that converts into syngas the heavy hydrocarbons that form at typical biomass gasification temperatures and that would otherwise condense and cause operating difficulties downstream. ...

Guangjian Liu; Eric D. Larson; Robert H. Williams; Thomas G. Kreutz; Xiangbo Guo

2010-12-06T23:59:59.000Z

383

Demand Response - Policy | Department of Energy  

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

Demand Response - Policy Demand Response - Policy Since its inception, the Office of Electricity Delivery and Energy Reliability (OE) has been committed to modernizing the nation's...

384

Rail Coal Transportation Rates  

Gasoline and Diesel Fuel Update (EIA)

Trends, 2001 - 2010 Trends, 2001 - 2010 Transportation infrastructure overview In 2010, railroads transported over 70 percent of coal delivered to electric power plants which are generally concentrated east of the Mississippi River and in Texas. The U.S. railroad market is dominated by four major rail companies that account for 99 percent of U.S. coal rail shipments by volume. Deliveries from major coal basins to power plants by mode Rail Barge Truck Figure 2. Deliveries from major coal basins to power plants by rail, 2010 figure data Figure 3. Deliveries from major coal basins to power plants by barge, 2010 figure data Figure 4. Deliveries from major coal basins to power plants by truck, 2010 figure data The Powder River Basin of Wyoming and Montana, where coal is extracted in

385

Coal | Department of Energy  

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

Coal Coal Coal Coal Coal is the largest domestically produced source of energy in America and is used to generate a significant chunk of our nation's electricity. The Energy Department is working to develop technologies that make coal cleaner, so we can ensure it plays a part in our clean energy future. The Department is also investing in development of carbon capture, utilization and storage (CCUS) technologies, also referred to as carbon capture, utilization and sequestration. Featured Energy Secretary Moniz Visits Clean Coal Facility in Mississippi On Friday, Nov. 8, 2013, Secretary Moniz and international energy officials toured Kemper, the nation's largest carbon capture and storage facility, in Liberty, Mississippi. A small Mississippi town is making history with the largest carbon capture

386

Demand Response | Department of Energy  

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

Demand Response Demand Response Demand Response Demand Response Demand response provides an opportunity for consumers to play a significant role in the operation of the electric grid by reducing or shifting their electricity usage during peak periods in response to time-based rates or other forms of financial incentives. Demand response programs are being used by electric system planners and operators as resource options for balancing supply and demand. Such programs can lower the cost of electricity in wholesale markets, and in turn, lead to lower retail rates. Methods of engaging customers in demand response efforts include offering time-based rates such as time-of-use pricing, critical peak pricing, variable peak pricing, real time pricing, and critical peak rebates. It also includes direct load control programs which provide the

387

Coal Gasification  

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

DOE's Office of Fossil Energy supports activities to advance coal-to-hydrogen technologies, specifically via the process of coal gasification with sequestration. DOE anticipates that coal...

388

Application of SEM Techniques to the Characterization of Coal and Coal Ash Products  

Science Journals Connector (OSTI)

Coal is a major source of fuel for...(1)...The last decade has seen a significant increase in the use of coal for power generation. The increased demand for coal and the tendency to use a variety of coals to meet...

Michael L. Jones; David P. Kalmanovitch

1992-01-01T23:59:59.000Z

389

The Role of Demand Response in Default Service Pricing  

E-Print Network (OSTI)

and coordinated by the Demand Response Research Center onThe Role of Demand Response in Default Service Pricing Galenfor providing much-needed demand response in electricity

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2008-01-01T23:59:59.000Z

390

Control Strategy for Domestic Water Heaters during Peak Periods and its Impact on the Demand for Electricity  

Science Journals Connector (OSTI)

Because they store hot water, water heaters are easily-shifted loads that can be controlled to reduce peak demands. However, load shifting may have some detrimental consequences on the domestic hot water supply temperature if the heating element is deactivated for a long period of time. Furthermore, a new peak may be caused if a significant number of heaters are reactivated at the same time. This study presents a control strategy for water heaters that minimizes the pick-up demand when the heating elements are reactivated at the end of a load shifting period and that ensures, in all cases, the client's hot water supply. The study is based on a simulation model of a water heater that was experimentally validated and takes into account the diversity of the population's hot water withdrawal profile. More specifically, the data of 8,167 real water withdrawal profiles of several clients were input into the simulation model in order to evaluate the performance of water heaters under different operating conditions.

Alain Moreau

2011-01-01T23:59:59.000Z

391

Gasification of Coal and Oil  

Science Journals Connector (OSTI)

... , said the Gas Council is spending 120,000 this year on research into coal gasification, and the National Coal Board and the Central Electricity Generating Board 680,000 and ... coal utilization. The Gas Council is spending about 230,000 on research into the gasification of oil under a programme intended to contribute also to the improvement of the economics ...

1960-02-13T23:59:59.000Z

392

Overview of Demand Side Response | Department of Energy  

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

and Energy Officials Need to Know High Electric Demand Days: Clean Energy Strategies for Improving Air Quality Demand Response in U.S. Electricity Markets: Empirical Evidence...

393

Low emission boiler system: Coal-fired power for the 21st century  

SciTech Connect

The U.S. Department of Energy, Pittsburgh Energy Technology Center, is working with private industry to develop the Low Emission Boiler System (LEBS), an advanced coal-fired power generation system for the 21st century. LEBS provides significantly higher thermal efficiency, superior environmental performance and a lower cost of electricity than conventional coal-fired systems. To meet the anticipated increase in electricity demand throughout the world, cleaner and more efficient power plants will be needed. This paper reviews performance of the LEBS, considers further improvements, and discusses its economics.

Ramezan, M. [Burns and Roe Services Corp., Pittsburgh, PA (United States); Van Bibber, L.; White, J. [Parsons Power Group Inc., Pittsburgh, PA (United States); Kim, S.S. [Dept. of Energy, Pittsburgh, PA (United States)

1996-12-31T23:59:59.000Z

394

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: February 2012 Highlights: February 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during February 2012. Natural gas-fired generation increased in every region of the United States when compared to February 2011. Wholesale electricity prices remained in the low end of the annual range for most wholesale markets due to low demand and depressed natural gas prices Key Indicators Feb 2012 % Change from Feb. 2011 Total Net Generation (Thousand MWh) 310,298 -1.0% Residential Retail Price (cents/kWh) 11.55 3.9% Retail Sales (Thousand MWh) 285,684 -3.5% Heating Degree-Days 654 -12.0% Natural Gas Price, Henry Hub ($/MMBtu) 2.60 -38.1% Coal Stocks (Thousand Tons) 186,958 -13.6% Coal Consumption (Thousand Tons) 62,802 -14.6% Natural Gas Consumption

395

E-Print Network 3.0 - annual coal preparation Sample Search Results  

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

Coal pro- vided about half of all annual electricity production for the US throughout its history... Historical Costs of Coal-Fired Electricity and Implications for the Future...

396

Construction Begins on First-of-its-Kind Advanced Clean Coal...  

Energy Savers (EERE)

Construction Begins on First-of-its-Kind Advanced Clean Coal Electric Generating Facility Construction Begins on First-of-its-Kind Advanced Clean Coal Electric Generating Facility...

397

Clean Coal Technology (Indiana)  

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

A public utility may not use clean coal technology at a new or existing electric generating facility without first applying for and obtaining from the Utility Regulatory Commission a certificate...

398

WCI Case for Coal  

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

with the steam cycle of coal-fired power plants offers the potential to convert 40% of solar energy into electricity. This compares to 13% for large-scale photovoltaic systems,...

399

Impact of a solar domestic hot water demand-side management program on an electric utility and its customers  

SciTech Connect

A methodology to assess the economic and environmental impacts of a large scale implementation of solar domestic hot water (SDHW) systems is developed. Energy, emission and demand reductions and their respective savings are quantified. It is shown that, on average, an SDHW system provides an energy reduction of about 3200 kWH, avoided emissions of about 2 tons and a capacity contribution of 0.7 kW to a typical Wisconsin utility that installs 5000 SDHW system. The annual savings from these reductions to utility is {dollar_sign}385,000, providing a return on an investment of over 20{percent}. It is shown that, on average, a consumer will save {dollar_sign}211 annually in hot water heating bills. 8 refs., 7 figs.

Trzeniewski, J.; Mitchell, J.W.; Klein, S.A.; Beckman, W.A.

1996-09-01T23:59:59.000Z

400

coking coal  

Science Journals Connector (OSTI)

coking coal [A caking coal suitable for the production of coke for metallurgical use] ? Kokskohle f, verkokbare Kohle

2014-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

Handbook of coal analysis  

SciTech Connect

The Handbook deals with the various aspects of coal analysis and provides a detailed explanation of the necessary standard tests and procedures that are applicable to coal in order to help define usage and behavior relative to environmental issues. It provides details of the meaning of various test results and how they might be applied to predict coal behavior during use. Emphasis is on ASTM standards and test methods but ISO and BSI standards methods are included. Chapter headings are: Coal analysis; Sampling and sample preparation; Proximate analysis; Ultimate analysis; Mineral matter; Physical and electrical properties; Thermal properties; Mechanical properties; Spectroscopic properties; Solvent properties; and Glossary.

James G. Speight

2005-05-01T23:59:59.000Z

402

The National Energy Modeling System: An Overview 2000 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end-use demand. Coal supplies are differentiated by heat and sulfur content. CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal export demands as a part of the world coal market. Coal supply is projected on a cost-minimizing basis, constrained by existing contracts. Twelve different coal types are differentiated with respect to thermal grade, sulfur content, and underground or surface mining. The domestic production and distribution of coal is forecast for 13 demand regions and 11 supply regions (Figures 19 and 20). coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end-use demand. Coal supplies are differentiated by heat and sulfur content. CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal export demands as a part of the world coal market. Coal supply is projected on a cost-minimizing basis, constrained by existing contracts. Twelve different coal types are differentiated with respect to thermal grade, sulfur content, and underground or surface mining. The domestic production and distribution of coal is forecast for 13 demand regions and 11 supply regions (Figures 19 and 20). Figure 19. Coal Market Module Demand Regions Figure 20. Coal Market Module Supply Regions

403

Clean coal technologies: A business report  

SciTech Connect

The book contains four sections as follows: (1) Industry trends: US energy supply and demand; The clean coal industry; Opportunities in clean coal technologies; International market for clean coal technologies; and Clean Coal Technology Program, US Energy Department; (2) Environmental policy: Clean Air Act; Midwestern states' coal policy; European Community policy; and R D in the United Kingdom; (3) Clean coal technologies: Pre-combustion technologies; Combustion technologies; and Post-combustion technologies; (4) Clean coal companies. Separate abstracts have been prepared for several sections or subsections for inclusion on the data base.

Not Available

1993-01-01T23:59:59.000Z

404

Coal Distribution Database, 2008  

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

Origin State, Origin State, Consumer, Destination and Method of Transportation 3Q 2009 February 2010 Quarterly Coal Distribution Table Format and Data Sources 3Q 2009 In keeping with EIA's efforts to increase the timeliness of its reports, this Quarterly Coal Distribution Report is a preliminary report, based on the most current data available from EIA's various monthly, quarterly and annual surveys of the coal industry and electric power generation industry. The final report will rely on the receipt of annual data to replace the imputed monthly data for smaller electric generation plants that are excluded from the monthly filing requirement, and final data for all other respondents. The Coal Distribution Report traces coal from the origin State to the destination State by

405

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

2Q) 2Q) Distribution Category UC-950 Quarterly Coal Report April-June 1999 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels 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 Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts This publication was prepared by Paulette Young under the direction of B.D. Hong, Leader, Coal Infor- mation Team, Office of Coal, Nuclear, Electric and Alternate Fuels. Questions addressing the Appendix A, U.S. Coal Imports section should be directed to Paulette Young at (202) 426-1150, email

406

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

1Q) 1Q) Distribution Category UC-950 Quarterly Coal Report January-March 1999 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels 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 Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts This publication was prepared by Paulette Young under the direction of B.D. Hong, Leader, Coal Infor- mation Team, Office of Coal, Nuclear, Electric and Alternate Fuels. Questions addressing the Appendix A, U.S. Coal Imports section should be directed

407

Coal Distribution Database, 2008  

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

Destination State, Destination State, Consumer, Destination and Method of Transportation 3Q 2009 February 2010 Quarterly Coal Distribution Table Format and Data Sources 3Q 2009 In keeping with EIA's efforts to increase the timeliness of its reports, this Quarterly Coal Distribution Report is a preliminary report, based on the most current data available from EIA's various monthly, quarterly and annual surveys of the coal industry and electric power generation industry. The final report will rely on the receipt of annual data to replace the imputed monthly data for smaller electric generation plants that are excluded from the monthly filing requirement, and final data for all other respondents. The Coal Distribution Report traces coal from the origin State to the destination State by

408

Coal combustion products (CCPs  

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

combustion products (CCPs) combustion products (CCPs) are solid materials produced when coal is burned to generate electricity. Since coal provides the largest segment of U.S. electricity generation (45 percent in 2010), finding a sustainable solution for CCPs is an important environmental challenge. When properly managed, CCPs offer society environmental and economic benefits without harm to public health and safety. Research supported by the U.S. Department of Energy's (DOE) Office of Fossil Energy (FE) has made an important contribution in this regard. Fossil Energy Research Benefits Coal Combustion Products Fossil Energy Research Benefits

409

Coal Storage and Transportation  

Science Journals Connector (OSTI)

Abstract Coal preparation, storage, and transportation are essential to coal use. Preparation plants, located near to the mine, remove some inorganic minerals associated with raw coal. Coal is transported from the mines to the point of consumption, often an electric generating plant, by rail, barge and trucks. Railroads are the predominant form of coal transportation within a country. Global coal trade, movement by large ocean-going vessels, continues to increase. At the end use site, the coal is crushed, ground, and the moisture content reduced to the proper specifications for end use. Coal is stored at various points in the supply chain. Processed coal will weather and oxidize, changing its properties; it can self-ignite, unless precautions are taken. Technology in use today is similar to that used in previous decades. Performance improvements have come from improved software and instruments that deliver real-time data. These improve management of sub-processes in the coal supply chain and reduce costs along the supply chain.

J.M. Ekmann; P.H. Le

2014-01-01T23:59:59.000Z

410

Coal News and Markets - Energy Information Administration  

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

Coal News and Markets Coal News and Markets Release Date: December 16, 2013 | Next Release Date: December 24, 2013 "Coal News and Markets Report" summarizes spot coal prices by coal commodity regions (i.e., Central Appalachia (CAPP), Northern Appalachia (NAPP), Illinois Basin (ILB), Powder River Basin (PRB), and Uinta Basin (UIB)) in the United States. The report includes data on average weekly coal commodity spot prices, total monthly coal production, eastern monthly coal production, electric power sector coal stocks, and average cost of metallurgical coal at coke plants and export docks. The historical data for coal commodity spot market prices are proprietary and not available for public release. Average weekly coal commodity spot prices (dollars per short ton)

411

The National Energy Modeling System: An Overview 2000 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition, nonutility supply and electricity trade are represented in the fuel dispatching and capacity planning submodules. Nonutility generation from cogenerators and other facilities whose primary business is not electricity generation is represented in the demand and fuel supply modules. All other nonutility generation is represented in EMM. The generation of electricity is accounted for in 15 supply regions (Figure 10), and fuel consumption is allocated to the 9 Census divisions.

412

Coal Distribution Database, 2006  

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

7 7 December 2008 2007 Changes in Coal Distribution Table Format and Data Sources The changes in the coal distribution data sources made in 2006 are carried over to the 2007 tables. As in 2006, EIA used data from the EIA-3 survey to distribute synfuel to the electric generation sector on a state level, aggregated with all of the other coal (such as bituminous, subbituminous, and lignite coal) sent to electric generating plants. EIA supplemented the EIA-3 data with previously collected information to determine the mode of transportation from the synfuel plant to the electric generating consumer, which was not reported on the EIA-3A survey form. Although not contained in the EIA-6A master file, this information has been documented in an ancillary spreadsheet in the EIA

413

The National Energy Modeling System: An Overview 1998 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

COAL MARKET MODULE COAL MARKET MODULE blueball.gif (205 bytes) Coal Production Submodule blueball.gif (205 bytes) Coal Distribution Submodule blueball.gif (205 bytes) Coal Export Component The coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end-use demand. Coal supplies are differentiated by heat and sulfur content. The CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal export demands as a part of the world coal market. Coal supply is projected on a cost-minimizing basis, constrained by existing contracts. Twelve different coal types are differentiated with respect to thermal grade, sulfur content, and underground or surface mining. The domestic production and distribution of coal is forecast for 13 demand regions and 11 supply

414

Clean coal  

SciTech Connect

The article describes the physics-based techniques that are helping in clean coal conversion processes. The major challenge is to find a cost- effective way to remove carbon dioxide from the flue gas of power plants. One industrially proven method is to dissolve CO{sub 2} in the solvent monoethanolamine (MEA) at a temperature of 38{sup o}C and then release it from the solvent in another unit when heated to 150{sup o}C. This produces CO{sub 2} ready for sequestration. Research is in progress with alternative solvents that require less energy. Another technique is to use enriched oxygen in place of air in the combustion process which produces CO{sub 2} ready for sequestration. A process that is more attractive from an energy management viewpoint is to gasify coal so that it is partially oxidized, producing a fuel while consuming significantly less oxygen. Several IGCC schemes are in operation which produce syngas for use as a feedstock, in addition to electricity and hydrogen. These schemes are costly as they require an air separation unit. Novel approaches to coal gasification based on 'membrane separation' or chemical looping could reduce the costs significantly while effectively capturing carbon dioxide. 1 ref., 2 figs., 1 photo.

Liang-Shih Fan; Fanxing Li [Ohio State University, OH (United States). Dept. of Chemical and Biomolecular Engineering

2006-07-15T23:59:59.000Z

415

Best practices and research for handling demand response security issues in the smart grid.  

E-Print Network (OSTI)

??When electricity demand is peak, utilities and other electric Independent Systems Operators (ISOs) keep electric generators on-line in order to meet the high demand. In (more)

Asavachivanthornkul, Prakarn

2010-01-01T23:59:59.000Z

416

Construction of a Demand Side Plant with Thermal Energy Storage  

E-Print Network (OSTI)

storage and its potential impact on the electric utilities and introduces the demand side plant concept....

Michel, M.

1989-01-01T23:59:59.000Z

417

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network (OSTI)

industrial demand response (DR) with energy efficiency (EE) to most effectively use electricity and natural gas

McKane, Aimee T.

2009-01-01T23:59:59.000Z

418

Co-combustion of refuse derived fuel and coal in a cyclone furnace at the Baltimore Gas and Electric Company, C. P. Crane Station  

SciTech Connect

A co-combustion demonstration burn of coal and fluff refuse-derived fuel (RDF) was conducted by Teledyne National and Baltimore Gas and Electric Company. This utility has two B and W cyclone furnaces capable of generating 400 MW. The facility is under a prohibition order to convert from No. 6 oil to coal; as a result, it was desirable to demonstrate that RDF, which has a low sulfur content, can be burned in combination with coals containing up to 2% sulfur, thus reducing overall sulfur emissions without deleterious effects. Each furnace consists of four cyclones capable of generating 1,360,000 pounds per hour steam. The tertiary air inlet of one of the cyclones was modified with an adapter to permit fluff RDF to be pneumatically blown into the cyclone. At the same time, coal was fed into the cyclone furnace through the normal coal feeding duct, where it entered the burning chamber tangentially and mixed with the RDF during the burning process. Secondary shredded fluff RDF was prepared by the Baltimore County Resource Recovery Facility. The RDF was discharged into a receiving station consisting of a belt conveyor discharging into a lump breaker, which in turn, fed the RDF into a pneumatic line through an air-lock feeder. A total of 2316 tons were burned at an average rate of 5.6 tons per hour. The average heat replacement by RDF for the cyclone was 25%, based on Btu input for a period of forty days. The range of RDF burned was from 3 to 10 tons per hour, or 7 to 63% heat replacement. The average analysis of the RDF (39 samples) for moisture, ash, heat (HHV) and sulfur content were 18.9%, 13.4%, 6296 Btu/lb and 0.26% respectively. RDF used in the test was secondary shredded through 1-1/2 inch grates producing the particle size distribution of from 2 inches to .187 inches. Findings to date after inspection of the boiler and superheater indicate satisfactory results with no deleterious effects from the RDF.

Not Available

1982-03-01T23:59:59.000Z

419

Coal prospects and policies in IEA countries, 1983 review  

SciTech Connect

This book reviews coal policies and prospects in IEA countries and major non-IEA coal exporting countries. It also considers demand, production, infrastructure, prices, and environment issues. The review also suggests ways to promote demand for coal as a way of improving energy security in IEA countries.

Not Available

1984-01-01T23:59:59.000Z

420

Tide May Be shifting versus coal  

SciTech Connect

Opinions about the future viability of coal as an energy source for generating electricity are presented. Positions of the coal lobby and environmental groups along with recent actions are included.

NONE

2008-03-15T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

EV Project Electric Vehicle Charging Infrastructure Summary Report...  

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

Max electricity demand across all days Min electricity demand across all days Electricity demand on single calendar day with highest peak Charging Unit Usage Residential Level 2...

422

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network (OSTI)

Evidence from Residential Electricity Demand, Review ofLester D. The Demand for Electricity: A Survey, The BellResidential Demand for Electricity under Inverted Block

Borenstein, Severin

2008-01-01T23:59:59.000Z

423

Energy demand  

Science Journals Connector (OSTI)

The basic forces pushing up energy demand are population increase and economic growth. From ... of these it is possible to estimate future energy requirements.

Geoffrey Greenhalgh

1980-01-01T23:59:59.000Z

424

By Coal Destination State  

Gasoline and Diesel Fuel Update (EIA)

Annual Coal Distribution Report 2010 Annual Coal Distribution Report 2010 U.S. Energy Information Administration | Annual Coal Distribution Report 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 7,906 821 1,242 - 9,969 Alabama Railroad 3,604 49 285 - 3,938 Alabama River 3,979 - - - 3,979 Alabama Truck 322 773 957 - 2,051 Colorado Total 2,113 - - - 2,113 Colorado Railroad 2,113 - - - 2,113 Illinois Total 336 - - - 336 Illinois River 336 - - - 336 Indiana Total 1,076

425

By Coal Origin State  

Gasoline and Diesel Fuel Update (EIA)

Annual Coal Distribution Report 2010 Annual Coal Distribution Report 2010 U.S. Energy Information Administration | Annual Coal Distribution Report 2010 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 2010 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 7,906 821 1,242 - 9,969 Alabama Railroad 3,604 49 285 - 3,938 Alabama River 3,979 - - - 3,979 Alabama Truck 322 773 957 - 2,051 Florida Total - - 15 - 15 Florida Railroad - - 11 - 11 Florida Truck - - 3 - 3 Georgia Total 196 - 15 - 211 Georgia Railroad 189 - 1 - 190 Georgia Truck

426

NETL: Coal  

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

use of our domestic energy resources and infrastructure. Gasification Systems | Advanced Combustion | Coal & Coal-Biomass to Liquids | Solid Oxide Fuel Cells | Turbines CO2...

427

Flexible Demand Management under Time-Varying Prices  

E-Print Network (OSTI)

Day in a Typical Hourly Average Electricity Prices . . . . .on demand response to electricity price are mostly conductedassociated with electricity prices, local generation, and

Liang, Yong

2012-01-01T23:59:59.000Z

428

Central Appalachia: Coal mine productivity and expansion  

SciTech Connect

Coal mine productivity is a key determinant of coal prices and vice versa. This report, focusing on supplies of very low sulfur coal in the eastern United States, presents alternative scenarios of how the price-productivity relationship may evolve in response to growing utility demand. It also documents the next tier of projects where the coal industry is prepared to expand capacity. 19 refs., 14 figs., 6 tabs.

Suboleski, S.C.; Frantz, R.L.; Ramani, R.V.; Rao, G.P. (Pennsylvania State Univ., University Park, PA (United States). Mining Engineering Section); Price, J.P. (Resource Dynamics Corp., Vienna, VA (United States))

1991-09-01T23:59:59.000Z

429

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network (OSTI)

feedstock shares of 70% coal, 20% natural Worrell, et. al.Constant fuel shares of 68% coal, 20% natural gas, 10% heavyIntensity by Fuel MJ per US$ Diesel Coal Electricity Coke

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

430

Automated Demand Response and Commissioning  

SciTech Connect

This paper describes the results from the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability and manage electricity costs. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. We refer to this as Auto-DR. The evaluation of the control and communications must be properly configured and pass through a set of test stages: Readiness, Approval, Price Client/Price Server Communication, Internet Gateway/Internet Relay Communication, Control of Equipment, and DR Shed Effectiveness. New commissioning tests are needed for such systems to improve connecting demand responsive building systems to the electric grid demand response systems.

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

2005-04-01T23:59:59.000Z

431

Proximate analysis of coal  

SciTech Connect

This lab experiment illustrates the use of thermogravimetric analysis (TGA) to perform proximate analysis on a series of coal samples of different rank. Peat and coke are also examined. A total of four exercises are described. These are dry exercises as students interpret previously recorded scans. The weight percent moisture, volatile matter, fixed carbon, and ash content are determined for each sample and comparisons are made. Proximate analysis is performed on a coal sample from a local electric utility. From the weight percent sulfur found in the coal (determined by a separate procedure the Eschka method) and the ash content, students calculate the quantity of sulfur dioxide emissions and ash produced annually by a large coal-fired electric power plant.

Donahue, C.J.; Rais, E.A. [University of Michigan, Dearborn, MI (USA)

2009-02-15T23:59:59.000Z

432

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 2nd Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 914 12 66 - 992 Alabama River 949 - - - 949 Alabama Truck 78 189 237 - 504 Alabama Total 1,941 201 303 - 2,445 Colorado Railroad 575 - - - 575 Illinois River 99 - - - 99 Indiana River 241 - - - 241 Kentucky Railroad 827 - 12 - 839 Kentucky (East) Railroad 76 - - - 76 Kentucky (West) Railroad

433

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 3rd Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 3rd Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 839 11 83 - 933 Alabama River 1,347 - - - 1,347 Alabama Truck 118 216 236 - 571 Alabama Total 2,304 227 320 - 2,850 Colorado Railroad 514 - - - 514 Illinois River 99 - - - 99 Indiana River 172 - - - 172 Kentucky Railroad 635 - 11 - 647 Kentucky (East) Railroad 45 - - - 45 Kentucky (West)

434

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 4th Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 4th Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 944 16 77 - 1,037 Alabama River 781 - - - 781 Alabama Truck 77 224 220 - 521 Alabama Total 1,802 240 298 - 2,340 Colorado Railroad 385 - - - 385 Illinois River 15 - - - 15 Indiana Railroad 1 - - - 1 Indiana River 350 - - - 350 Indiana Total 351 - - - 351 Kentucky Railroad 682 - 2 - 685 Kentucky (East)

435

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 907 10 59 - 975 Alabama River 903 - - - 903 Alabama Truck 150 144 253 - 546 Alabama Total 1,960 153 311 - 2,424 Colorado Railroad 640 - - - 640 Illinois River 123 - - - 123 Indiana River 312 - - - 312 Kentucky Railroad 622 - 36 - 658 Kentucky (East) Railroad 96 - 36 - 132 Kentucky (West)

436

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 2nd Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,896 182 327 - 2,405 Alabama Railroad 1,192 2 74 - 1,268 Alabama River 655 - - - 655 Alabama Truck 50 180 253 - 482 Colorado Total 468 - - - 468 Colorado Railroad 468 - - - 468 Illinois Total 90 - 26 - 116 Illinois River 90 - 26 - 116 Indiana Total 181 - - - 181 Indiana River 181 -

437

By Coal Destination State  

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

2 2 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2012 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,407 184 231 - 1,822 Alabama Railroad 801 9 49 - 859 Alabama River 519 - - - 519 Alabama Truck 87 175 182 - 444 Colorado Total 82 - - - 82 Colorado Railroad 82 - - - 82 Illinois Total 149 - 14 - 163 Illinois Railroad 44 - - - 44 Illinois River 105 - 14 - 119 Indiana Total 99 - - - 99

438

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

1Q) 1Q) Quarterly Coal Report January - March 2008 July 2008 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ 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 not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

439

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

2Q) 2Q) Quarterly Coal Report April - June 2009 September 2009 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ 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 not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

440

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

7/01Q) 7/01Q) Quarterly Coal Report January - March 2007 June 2007 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ 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 not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

Note: This page contains sample records for the topic "demand coal electricity" 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

By Coal Origin State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2010 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 2nd Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 914 12 66 - 992 Alabama River 949 - - - 949 Alabama Truck 78 189 237 - 504 Alabama Total 1,941 201 303 - 2,445 Georgia Railroad 23 - - - 23 Georgia Truck s - - - s Georgia Total 23 - - - 23 Indiana Railroad - 115 - - 115 Indiana Truck - 71 - - 71 Indiana Total - 186 - - 186 Tennessee Railroad - - 1 - 1 Tennessee Truck

442

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

3Q) 3Q) Quarterly Coal Report July - September 2008 December 2008 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ 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 not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

443

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

2Q) 2Q) Quarterly Coal Report April - June 2008 September 2008 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ 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 not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

444

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

8/04Q) 8/04Q) Quarterly Coal Report October - December 2008 March 2009 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ 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 not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

445

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 1,040 18 80 - 1,138 Alabama River 668 - - - 668 Alabama Truck 52 164 223 - 438 Alabama Total 1,760 181 303 - 2,244 Colorado Railroad 600 - - - 600 Illinois River 203 - 13 - 217 Indiana River 180 - - - 180 Kentucky Railroad 465 - 10 - 475 Kentucky (West) Railroad 465 - 10 - 475 Utah Railroad 18 - - -

446

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 4th Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 4th Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,486 155 328 - 1,970 Alabama Railroad 1,020 - 75 - 1,095 Alabama River 417 - - - 417 Alabama Truck 49 155 253 - 458 Colorado Total 195 - - - 195 Colorado Railroad 195 - - - 195 Illinois Total 127 - 18 - 145 Illinois Railroad 20 - - - 20 Illinois River 107 - 18 - 125 Indiana Total

447

By Coal Origin State  

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

2 2 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 1st Quarter 2012 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,407 184 231 - 1,822 Alabama Railroad 801 9 49 - 859 Alabama River 519 - - - 519 Alabama Truck 87 175 182 - 444 Georgia Total s - s - s Georgia Truck s - s - s Indiana Total - 98 - - 98 Indiana Railroad - 98 - - 98 Kentucky Total - - 12 - 12 Kentucky Truck - - 12 - 12 Ohio Total - 30 - - 30 Ohio

448

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 3rd Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 3rd Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,942 160 335 - 2,437 Alabama Railroad 1,149 - 57 - 1,206 Alabama River 741 - - - 741 Alabama Truck 52 160 278 - 490 Colorado Total 621 2 - - 623 Colorado Railroad 621 2 - - 623 Illinois Total 113 - 11 - 123 Illinois River 113 - 11 - 123 Indiana Total 265 - - - 265 Indiana Railroad

449

By Coal Origin State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2011 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 2nd Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,896 182 327 - 2,405 Alabama Railroad 1,192 2 74 - 1,268 Alabama River 655 - - - 655 Alabama Truck 50 180 253 - 482 Georgia Total s - - - s Georgia Truck s - - - s Indiana Total - 72 - - 72 Indiana Railroad - 72 - - 72 Tennessee Total - - 7 - 7 Tennessee Truck - - 7 - 7 Origin State Total 1,896

450

Cost and Performance Comparison Baseline for Fossil Energy Plants, Volume 3 Executive Summary: Low Rank Coal and Natural Gas to Electricity  

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

Baseline Baseline for Fossil Energy Plants Volume 3 Executive Summary: Low Rank Coal and Natural Gas to Electricity September 2011 DOE/NETL-2010/1399 Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring

451

Electric power annual 1992  

SciTech Connect

The Electric Power Annual presents a summary of electric utility statistics at national, regional and State levels. The objective of the publication is to provide industry decisionmakers, government policymakers, analysts and the general public with historical data that may be used in understanding US electricity markets. The Electric Power Annual is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. ``The US Electric Power Industry at a Glance`` section presents a profile of the electric power industry ownership and performance, and a review of key statistics for the year. Subsequent sections present data on generating capability, including proposed capability additions; net generation; fossil-fuel statistics; retail sales; revenue; financial statistics; environmental statistics; electric power transactions; demand-side management; and nonutility power producers. In addition, the appendices provide supplemental data on major disturbances and unusual occurrences in US electricity power systems. Each section contains related text and tables and refers the reader to the appropriate publication that contains more detailed data on the subject matter. Monetary values in this publication are expressed in nominal terms.

Not Available

1994-01-06T23:59:59.000Z

452

Coal-fired power generation: Proven technologies and pollution control systems  

SciTech Connect

During the last two decades, significant advances have been made in the reduction of emissions from coal-fired power generating plants. New technologies include better understanding of the fundamentals of the formation and destruction of criteria pollutants in combustion processes (low nitrogen oxides burners) and improved methods for separating criteria pollutants from stack gases (FGD technology), as well as efficiency improvements in power plants (clean coal technologies). Future demand for more environmentally benign electric power, however, will lead to even more stringent controls of pollutants (sulphur dioxide and nitrogen oxides) and greenhouse gases such as carbon dioxide.

Balat, M. [University of Mah, Trabzon (Turkey)

2008-07-01T23:59:59.000Z

453

EIA - AEO2010 - Coal projections  

Gasoline and Diesel Fuel Update (EIA)

Coal Projections Coal Projections Annual Energy Outlook 2010 with Projections to 2035 Coal Projections Figure 88. Coal production by region, 1970-2035 Click to enlarge » Figure source and data excel logo Figure 89. U.S. coal production in six cases, 2008, 2020, and 2035 Click to enlarge » Figure source and data excel logo Figure 90. Average annual minemouth coal prices by region, 1990-2035 Click to enlarge » Figure source and data excel logo Figure 91. Average annual delivered coal prices in four cases, 1990-2035 Click to enlarge » Figure source and data excel logo Figure 92. Change in U.S. coal consumption by end use in two cases, 2008-2035 Click to enlarge » Figure source and data excel logo Coal production increases at a slower rate than in the past In the AEO2010 Reference case, increasing coal use for electricity generation, along with the startup of several CTL plants, leads to growth in coal production averaging 0.2 percent per year from 2008 to 2035. This is significantly less than the 0.9-percent average growth rate for U.S. coal production from 1980 to 2008.

454

Rail Coal Transportation Rates  

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

reports reports Coal Transportation Rates to the Electric Power Sector With Data through 2010 | Release Date: November 16, 2012 | Next Release Date: December 2013 | Correction Previous editions Year: 2011 2004 Go Figure 1. Deliveries from major coal basins to electric power plants by rail, 2010 Background In this latest release of Coal Transportation Rates to the Electric Power Sector, the U.S. Energy Information Administration (EIA) significantly expands upon prior versions of this report with the incorporation of new EIA survey data. Figure 1. Percent of total U.S. rail shipments represented in data figure data Previously, EIA relied solely on data from the U.S. Surface Transportation Board (STB), specifically their confidential Carload Waybill Sample. While valuable, due to the statistical nature of the Waybill data,

455

coal | OpenEI  

Open Energy Info (EERE)

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

456

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

Chalmers, Hannah. 2008. Carbon Capture and Storage, EnergyChalmers, Hannah. 2008. Carbon Capture and Storage, Energytechnology. 3.3.3 Carbon capture and storage: efficiency

Aden, Nathaniel

2010-01-01T23:59:59.000Z

457

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

of 2 GW), or 86 GW of hydropower capacity (compared to 2007capacity displayed above hydropower in this figure. 3.3.1.load factor 86 GW of hydropower capacity @ 50% load factor

Aden, Nathaniel

2010-01-01T23:59:59.000Z

458

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: February 2012 Electric Power Sector Coal Stocks: February 2012 Stocks The unseasonably warm temperatures that the continental United States experienced throughout the winter, coupled with low natural gas prices, caused coal stocks at power plants to increase throughout the winter of 2011 - 2012. During this period, coal stocks usually see a seasonal decline due to the added need for electricity generation from coal plants for spacing heating load. However, it was the sixth straight month that coal stocks increased from the previous month, with this trend likely to continue as the country enters into spring. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current

459

Q:\asufinal_0107_demand.vp  

Gasoline and Diesel Fuel Update (EIA)

00 00 (AEO2000) Assumptions to the January 2000 With Projections to 2020 DOE/EIA-0554(2000) Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution

460

Modeling Electric Vehicle Benefits Connected to Smart Grids  

E-Print Network (OSTI)

the commercial building electricity costs distributed energydegradation costs electricity sales fixed electricity costsvariable electricity costs (energy and demand charges) EV

Stadler, Michael

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: September 2011 Electric Power Sector Coal Stocks: September 2011 Stocks Electric power sector coal stocks continued to replenish after the summer burn in October, though stockpile levels remain well below 2010 levels. All coal stockpile levels declined from October 2010, with bituminous coal stockpile levels 12 percent lower than the same month of 2010. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants was generally flat in October 2011 compared to September of this year. The summer of 2011 saw significant declines in total U.S. stockpile levels, which were replenished in the

462

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: November 2011 Electric Power Sector Coal Stocks: November 2011 Stocks As discussed in this month's feature story, electric power sector coal stocks continued to replenish after the summer burn in November, though stockpile levels remain below 2010 and 2009 levels. All coal stockpile levels declined from November 2010, with bituminous coal stockpile levels 9 percent lower than the same month of 2010. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plantâ€(tm)s current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants dropped slightly from last month and remained below levels seen in November of 2010 or 2009. While

463

Electric Vehicle Research Group  

E-Print Network (OSTI)

.................................................................................9 From diesel to electric: a new era in personnel transport for underground coal minesElectric Vehicle Research Group Annual Report 2012 #12;Table of Contents Executive Summary................................................................................8 C2-25 Electric Vehicle Drivetrain

Liley, David

464

The business value of demand response for balance responsible parties.  

E-Print Network (OSTI)

?? By using IT-solutions, the flexibility on the demand side in the electrical systems could be increased. This is called demand response and is part (more)

Jonsson, Mattias

2014-01-01T23:59:59.000Z

465

Aggregator-Assisted Residential Participation in Demand Response Program.  

E-Print Network (OSTI)

??The demand for electricity of a particular location can vary significantly based on season, ambient temperature, time of the day etc. High demand can result (more)

Hasan, Mehedi

2012-01-01T23:59:59.000Z

466

Modeling, Analysis, and Control of Demand Response Resources.  

E-Print Network (OSTI)

??While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role in (more)

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

467

Modeling, Analysis, and Control of Demand Response Resources.  

E-Print Network (OSTI)

?? While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role (more)

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

468

Industrial Equipment Demand and Duty Factors  

E-Print Network (OSTI)

Demand and duty factors have been measured for selected equipment (air compressors, electric furnaces, injection molding machines, centrifugal loads, and others) in industrial plants. Demand factors for heavily loaded air compressors were near 100...

Dooley, E. S.; Heffington, W. M.

469

Harnessing the power of demand  

SciTech Connect

Demand response can provide a series of economic services to the market and also provide ''insurance value'' under low-likelihood, but high-impact circumstances in which grid reliablity is enhanced. Here is how ISOs and RTOs are fostering demand response within wholesale electricity markets. (author)

Sheffrin, Anjali; Yoshimura, Henry; LaPlante, David; Neenan, Bernard

2008-03-15T23:59:59.000Z

470

Shipping Data Generation for the Hunter Valley Coal Chain  

E-Print Network (OSTI)

demand for coal is expected to double in the next decade. Optimization and ...... Transportation Analysis (TRISTAN), Phuket, Thailand, 2007. [4] N.L. Boland and

2013-02-02T23:59:59.000Z

471

Coal conversion experimental methods for validation of pressurized entrained-flow gasifier simulation.  

E-Print Network (OSTI)

??Gasification of coal provides society with electricity, commodity chemicals, substitute natural gas, and consumer products. With the continued use of coal in the United States (more)

Wagner, David Ray

2013-01-01T23:59:59.000Z

472

Sensor for Individual Burner Control of Coal Firing Rate, Fuel-Air Ratio and Coal Fineness Correlation  

SciTech Connect

Accurate, cost-efficient monitoring instrumentation has long been considered essential to the operation of power plants. Nonetheless, for the monitoring of coal flow, such instrumentation has been sorely lacking and technically difficult to achieve. With more than half of the electrical power in the United States currently supplied by coal, energy generated by this resource is critical to the US economy. The demand for improvement in this area has only increased as a result of the following two situations: First, deregulation has produced a heightened demand for both reduced electrical cost and improved grid connectivity. Second, environmental concerns have simultaneously resulted in a need for both increased efficiency and reduced carbon and NOx emissions. A potential approach to addressing both these needs would be improvement in the area of combustion control. This would result in a better heat rate, reduced unburned carbon in ash, and reduced NOx emissions. However, before feedback control can be implemented, the ability to monitor coal flow to the burners in real-time must be established. While there are several ''commercially available'' products for real-time coal flow measurement, power plant personnel are highly skeptical about the accuracy and longevity of these systems in their current state of development. In fact, following several demonstration projects of in-situ coal flow measurement systems in full scale utility boilers, it became obvious that there were still many unknown influences on these instruments during field applications. Due to the operational environment of the power plant, it has been difficult if not impossible to sort out what parameters could be influencing the various probe technologies. Additionally, it has been recognized for some time that little is known regarding the performance of coal flow splitters, even where rifflers are employed. Often the coal flow distribution from these splitters remains mal-distributed. There have been mixed results in the field using variable orifices in coal pipes. Development of other coal flow control devices has been limited. An underlying difficulty that, to date, has hindered the development of an accurate instrument for coal flow measurements is the fact that coal flow is characterized by irregular temporal and spatial variation. However, despite the inherent complexity of the dynamic system, the system is in fact deterministic. Therefore, in principle, the coal flow can be deduced from the dynamics it exhibits. Nonetheless, the interactions are highly nonlinear, rendering standard signal processing approaches, which rely on techniques such as frequency decomposition, to be of little value. Foster-Miller, Inc. has developed a methodology that relates the complex variation in such systems to the information of interest. This technology will be described in detail in Section 2. A second concern regarding the current measurement systems is installation, which can be labor-intensive and cost-prohibitive. A process that does not require the pulverizer to be taken off line would be highly desirable. Most microwave and electrostatic methods require drilling up to 20 holes in the pipe, all with a high degree of precision so as to produce a proper alignment of the probes. At least one electrostatic method requires a special spool piece to be fitted into each existing coal pipe. Overall, these procedures are both difficult and very expensive. An alternative approach is pursued here, namely the development of an instrument that relies on an acoustic signal captured by way of a commercial accelerometer. The installation of this type of sensor is both simpler and less invasive than other techniques. An accelerometer installed in a pipe wall need not penetrate through the wall, which means that the system may be able to remain on line during the installation. Further, due to the fact that the Dynamical Instruments technology, unlike other systems, does not rely on uniformity of the air or coal profile, the installation location need not be on a long, straight run

R. Demler

2006-04-01T23:59:59.000Z

473

Coal Transportation Issues (released in AEO2007)  

Reports and Publications (EIA)

Most of the coal delivered to U.S. consumers is transported by railroads, which accounted for 64% of total domestic coal shipments in 2004. Trucks transported approximately 12% of the coal consumed in the United States in 2004, mainly in short hauls from mines in the East to nearby coal-fired electricity and industrial plants. A number of minemouth power plants in the West also use trucks to haul coal from adjacent mining operations. Other significant modes of coal transportation in 2004 included conveyor belt and slurry pipeline (12%) and water transport on inland waterways, the Great Lakes, and tidewater areas (9%).

2007-01-01T23:59:59.000Z

474

Power Politics: The Political Economy of Russia's Electricity Sector Liberalization  

E-Print Network (OSTI)

two-thirds of economic activities, as the coal mine payscoal-mines were closed when demand collapsed during the economiceconomic crisis of the early 1990s, energy demand fell and Far Eastern coal

Wengle, Susanne Alice

2010-01-01T23:59:59.000Z

475

Quarterly coal report, January--March 1998  

SciTech Connect

The Quarterly Coal Report (QCR) provides comprehensive information about US coal production, distribution, exports, imports, receipts, prices, consumption, and stocks to a wide audience, including Congress, Federal and State agencies, the coal industry, and the general public. Coke production, consumption, distribution, imports, and exports data are also provided. This report presents detailed quarterly data for January through March 1998 and aggregated quarterly historical data for 1992 through the fourth quarter of 1997. Appendix A displays, from 1992 on, detailed quarterly historical coal imports data. To provide a complete picture of coal supply and demand in the United States, historical information has been integrated in this report. 58 tabs.

NONE

1998-08-01T23:59:59.000Z

476

Cooperative Demand Response Using RepeatedGame for Price-Anticipating Buildings in Smart Grid  

E-Print Network (OSTI)

E. El-Saadany, A summary of demand response in electricityYang, and X. Guan, Optimal demand response scheduling withwith application to demand response, IEEE Transactions on

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

2014-01-01T23:59:59.000Z

477

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network (OSTI)

2001. Electricity Demand Side Management Study: Review ofEpping/North Ryde Demand Side Management Scoping Study:Energy Agency Demand Side Management (IEA DSM) Programme:

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

478

Demand Response This is the first of the Council's power plans to treat demand response as a resource.1  

E-Print Network (OSTI)

Demand Response This is the first of the Council's power plans to treat demand response the resource and describes some of the potential advantages and problems of the development of demand response. WHAT IS DEMAND RESPONSE? Demand response is a change in customers' demand for electricity corresponding

479

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: October 2013 Electric Power Sector Coal Stocks: October 2013 Stocks In October 2013, total coal stocks increased 0.8 percent from the previous month. This follows the normal seasonal pattern for this time of year as the country begins to build up coal stocks to be consumed during the winter months. Compared to last October, coal stocks decreased 17.7 percent. This occurred because coal stocks in October 2012 were at an extremely high level. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The total bituminous supply decreased from 85 days the previous month to 78 days in October 2013, while the total subbituminous supply decreased from 63 days in September 2013 to

480

Coal pump  

DOE Patents (OSTI)

A device for pressurizing pulverized coal and circulating a carrier gas is disclosed. This device has utility in a coal gasification process and eliminates the need for a separate collection hopper and eliminates the separate compressor.

Bonin, John H. (Sunnyvale, CA); Meyer, John W. (Palo Alto, CA); Daniel, Jr., Arnold D. (Alameda County, CA)

1983-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand coal electricity" 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

EIA - Annual Energy Outlook 2008 - Coal Production  

Gasoline and Diesel Fuel Update (EIA)

Coal Production Coal Production Annual Energy Outlook 2008 with Projections to 2030 Coal Production Figure 93. Coal production by region, 1970-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 94. U.S. coal production, 2006, 2015, and 2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. figure data Western Coal Production Continues To Increase Through 2030 In the AEO2008 reference case, increasing coal use for electricity generation at existing plants and construction of a few new coal-fired plants lead to annual production increases that average 0.3 percent per year from 2006 to 2015, when total production is 24.5 quadrillion Btu. In the absence of restrictions on CO2 emissions, the growth in coal production

482

NYMEX Coal Futures - Energy Information Administration  

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

NYMEX Coal Futures Near-Month Contract Final Settlement Price 2013 NYMEX Coal Futures Near-Month Contract Final Settlement Price 2013 Data as of: December 13, 2013 | Release Date: December 16, 2013 | Next Release Date: December 30, 2013 U.S. coal exports, chiefly Central Appalachian bituminous, make up a significant percentage of the world export market and are a relevant factor in world coal prices. Because coal is a bulk commodity, transportation is an important aspect of its price and availability. In response to dramatic changes in both electric and coal industry practices, the New York Mercantile Exchange (NYMEX) after conferring with coal producers and consumers, sought and received regulatory approval to offer coal futures and options contracts. On July 12, 2001, NYMEX began trading Central Appalachian Coal futures under the QL symbol.

483

EIA - Annual Energy Outlook 2009 - Coal Production  

Gasoline and Diesel Fuel Update (EIA)

Coal Production Coal Production Annual Energy Outlook 2009 with Projections to 2030 Coal Production Figure 78. Coal production by region, 1970-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 79. U.S. coal production in four cases, 2007, 2015, and 2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 80. Average minemouth coal prices by regionCoal production by region, 1970-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. figure data Total Coal Production Increases at a Slower Rate Than in the Past In the AEO2009 reference case, increasing coal use for electricity generation at both new and existing plants and the startup of several CTL

484

Chapter 3 - Coal-fired Power Plants  

Science Journals Connector (OSTI)

Abstract Coal provides around 40% of the worlds electricity, more than any other source. Most modern coal-fired power stations burn pulverized coal in a boiler to raise steam for a steam turbine. High efficiency is achieved by using supercritical boilers made of advanced alloys that produce high steam temperatures, and large, high-efficiency steam turbines. Alternative types of coal-fired power plants include fluidized bed boilers that can burn a variety of poor fuels, as well as coal gasifiers that allow coal to be turned into a combustible gas that can be burned in a gas turbine. Emissions from coal plants include sulfur dioxide, nitrogen oxide, and trace metals, all of which must be controlled. Capturing carbon dioxide from a coal plant is also under consideration. This can be achieved using post-combustion capture, a pre-combustion gasification process, or by burning coal in oxygen instead of air.

Paul Breeze

2014-01-01T23:59:59.000Z

485

Clean Coal Technology Demonstration Program: Project fact sheets 2000, status as of June 30, 2000  

SciTech Connect

The Clean Coal Technology Demonstration Program (CCT Program), a model of government and industry cooperation, responds to the Department of Energy's (DOE) mission to foster a secure and reliable energy system that is environmentally and economically sustainable. The CCT Program represents an investment of over $5.2 billion in advanced coal-based technology, with industry and state governments providing an unprecedented 66 percent of the funding. With 26 of the 38 active projects having completed operations, the CCT Program has yielded clean coal technologies (CCTs) that are capable of meeting existing and emerging environmental regulations and competing in a deregulated electric power marketplace. The CCT Program is providing a portfolio of technologies that will assure that U.S. recoverable coal reserves of 274 billion tons can continue to supply the nation's energy needs economically and in an environmentally sound manner. As the nation embarks on a new millennium, many of the clean coal technologies have realized commercial application. Industry stands ready to respond to the energy and environmental demands of the 21st century, both domestically and internationally, For existing power plants, there are cost-effective environmental control devices to control sulfur dioxide (S02), nitrogen oxides (NO,), and particulate matter (PM). Also ready is a new generation of technologies that can produce electricity and other commodities, such as steam and synthetic gas, and provide efficiencies and environmental performance responsive to global climate change concerns. The CCT Program took a pollution prevention approach as well, demonstrating technologies that remove pollutants or their precursors from coal-based fuels before combustion. Finally, new technologies were introduced into the major coal-based industries, such as steel production, to enhance environmental performance. Thanks in part to the CCT Program, coal--abundant, secure, and economical--can continue in its role as a key component in the U.S. and world energy markets. The CCT Program also has global importance in providing clean, efficient coal-based technology to a burgeoning energy market in developing countries largely dependent on coal. Based on 1997 data, world energy consumption is expected to increase 60 percent by 2020, with almost half of the energy increment occurring in developing Asia (including China and India). By 2020, energy consumption in developing Asia is projected to surpass consumption in North America. The energy form contributing most to the growth is electricity, as developing Asia establishes its energy infrastructure. Coal, the predominant indigenous fuel, in that region will be the fuel of choice in electricity production. The CCTs offer a means to mitigate potential environmental problems associated with unprecedented energy growth, and to enhance the U.S. economy through foreign equipment sales and engineering services.

NONE

2000-09-01T23:59:59.000Z

486

Weak economy and politics worry US coal operators  

SciTech Connect

A potential decrease in demand, a new administration, and production constraints have coal operators worried about prospects for 2009. This and other interesting facts are revealed in this 2009 forecast by the journal Coal Age. Results are presented of the survey answered by 69 of the 646 executives contacted, on such questions about expected coal production, coal use, attitude in the coal industry, capital expenditure on types of equipment and productive capacity. Coal Age forecasts a 2.3% decline in coal production in 2009, down to 1.145 billion tons from 1.172 billion tons. 8 figs.

Fiscor, S.

2009-01-15T23:59:59.000Z

487

Demand Response (transactional control) - Energy Innovation Portal  

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

Transmission Electricity Transmission Find More Like This Return to Search Demand Response (transactional control) Pacific Northwest National Laboratory Contact PNNL About...

488

CONSTRUCTION MATERIALS MADE WITH COAL COMBUSTION BY-PRODUCTS  

E-Print Network (OSTI)

ash and bottom ash are produced as by-products of coal-fired electricity generation. In many countries coal ashes are by-products of the coal combustion, their properties are influenced by the nature of understanding behavior of masonry products made from coal ashes. The objective of this research program

Wisconsin-Milwaukee, University of

489

The US coal industry 1996  

SciTech Connect

Several years ago a friend and former classmate, Dr. Doug Dahl, put the coal industry into perspective. At that time he worked for Consol, whose parent company was DuPont. I will use his story, but update it with today`s statistics. As can be seen in Figure 1, total US coal production continues to show healthy growth. In 1995 we produced 1,032,000,000 tons, and 1,046,000,000 tons are projected for 1996. Unfortunately as seen in Figure 2, the average price per ton of coal sold is still dropping. The coal industry is experiencing the unusual situation of falling coal prices with increasing coal demand! In 1994 (1995 data not available) the average price for a ton of coal was only $19.41. Multiplying the two numbers, yields the total sales value for our entire industry, $20.1 billion in 1994. That`s roughly half the approximately $40 billion per year sales value for a single chemical company, DuPont, Dr. Dahl`s parent company. As Dr. Dahl pointed out, the coal industry just isn`t that big. As we can see in Figure 3, the yearly trends show that the total value of the US coal production is shrinking. The total value has fallen through the 90`s and follows the average price per ton trend. Even increases in production have generally not been enough to offset the falling prices.

Campbell, J.A.L. [Custom Coals International, Inc., Oklahoma City, OK (United States)

1996-12-31T23:59:59.000Z

490

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: March 2012 Electric Power Sector Coal Stocks: March 2012 Stocks The seasonal winter drawdown of coal stocks was totally negated during the winter months this year due to low natural gas prices and unseasonably warm temperatures throughout the continental United States. In fact, March 2012 was the seventh straight month that coal stockpiles at power plants increased from the previous month. The largest driver of increasing stockpiles has been declining consumption of coal due to unseasonably warm weather and declining natural gas prices. Because much of the coal supplied to electric generators is purchased through long-term contracts, increasing coal stockpiles have proven difficult for electric power plant operators to handle. Some operators have inventories so high that they are refusing

491

Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 69 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight and passenger rail, freight shipping, and miscellaneous

492

Coal cleaning program for Kazakstan  

SciTech Connect

In 1992 the United States Agency for International Development (USAID) started sponsoring general projects in the Energy and Environmental Sector to improve health and well-being, to improve the efficiency of the existing fuel and energy base, and to assist in the establishment of a strong private sector. Coal Cleaning Program, covered in this report, is one of the recently completed projects by Burns and Roe, which is a prime USAID contractor in the field of energy and environment for the NIS. The basis for coal cleaning program is that large coal resources exist in northeast Kazakstan and coal represents the major fuel for heat and electricity generation at present and in the foreseeable future. The coal mined at Karaganda and Ekibastuz, the two main coal mining areas of Kazakstan, currently contains up to 55% ash, whereas most boilers in Kazakstan are designed to fire a coal with an ash content no greater than 36%. The objective of the task was to determine optimum, state-of-the-art coal cleaning and mining processes which are applicable to coals in Kazakstan considering ultimate coal quality of 36% ash, environmental quality, safety and favorable economics.

Popovic, N. [Burns and Roe Enterprises, Oradell. NJ (United States); Daley, D.P. [Burns and Roe Services Corp., Pittsburgh, PA (United States); Jacobsen, P.S. [Jacobsen (P. Stanley), Littleton, CO (United States)

1996-12-31T23:59:59.000Z

493

EV Project Electric Vehicle Charging Infrastructure Summary Report...  

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

all days Percentage of charging units connected on single calendar day with peak electricity demand Charging Demand: Range of Aggregate Electricity Demand versus Time of Day...

494

PENETRATION OF COAL SLAGS INTO HIGH-CHROMIA REFRACTORIES  

SciTech Connect

Slagging coal gasifiers are used for the production of electricity and synthetic gases, as well as chemicals. High temperatures in the reaction chamber, typically between 1250C and 1600C, high pressure, generally greater than 400 psi, and corrosive slag place severe demands on the refractory materials. Slag produced during the combustion of coal flows over the refractory surface and penetrates the porous material. Slag penetration is typically followed by spalling of a brick that significantly decreases the service life of gasifier refractories. Laboratory tests were conduct