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Note: This page contains sample records for the topic "hourly emission factors" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
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1

OpenEI - hourly emission factors  

Open Energy Info (EERE)

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

2

hourly emission factors | OpenEI  

Open Energy Info (EERE)

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

3

Hourly Energy Emission Factors for Electricity Generation in...  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United States

Emissions from energy use in buildings are usually estimated on an annual...

4

Hourly Energy Emission Factors for Electricity Generation in the United  

Open Energy Info (EERE)

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

5

Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power Plants  

E-Print Network (OSTI)

1 Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power to quantify variability and uncertainty for NOx emissions from coal-fired power plants. Data for hourly NOx Uncertainty, Variability, Emission Factors, Coal-Fired Power Plants, NOx emissions, Regression Models

Frey, H. Christopher

6

OpenEI - electricity emission factors  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4650 en Hourly Energy Emission Factors for Electricity Generation in the United States http:en.openei.orgdatasetsnode488...

7

electricity emission factors | OpenEI  

Open Energy Info (EERE)

emission factors emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago) Keywords buildings carbon dioxide emissions carbon footprinting CO2 commercial buildings electricity emission factors ERCOT hourly emission factors interconnect nitrogen oxides

8

Emission Factors from Brazilian Deforestation Fires Published  

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

of emission factors from 19 deforestation fires in Mato Grosso, Para, and Amazonas, Brazil. LBA-ECO TG-10 Fire Emission Factors in Mato Grosso, Para, and Amazonas, Brazil: 2004...

9

IPCC Emission Factor Database | Open Energy Information  

Open Energy Info (EERE)

IPCC Emission Factor Database IPCC Emission Factor Database Jump to: navigation, search Tool Summary Name: IPCC Emission Factor Database Agency/Company /Organization: World Meteorological Organization, United Nations Environment Programme Resource Type: Dataset Website: www.ipcc-nggip.iges.or.jp/EFDB/main.php References: IPCC-EFDB[1] About "EFDB is meant to be a recognised library, where users can find emission factors and other parameters with background documentation or technical references that can be used for estimating greenhouse gas emissions and removals. The responsibility of using this information appropriately will always remain with the users themselves." References ↑ "IPCC-EFDB" Retrieved from "http://en.openei.org/w/index.php?title=IPCC_Emission_Factor_Database&oldid=367213"

10

Emission Factors (EMFAC) | Open Energy Information  

Open Energy Info (EERE)

Emission Factors (EMFAC) Emission Factors (EMFAC) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: EMFAC Agency/Company /Organization: California Environmental Protection Agency Sector: Energy Focus Area: Transportation Phase: Determine Baseline Topics: Baseline projection, GHG inventory Resource Type: Software/modeling tools, Online calculator User Interface: Spreadsheet Website: www.arb.ca.gov/msei/onroad/latest_version.htm Country: United States Cost: Free Northern America References: http://www.arb.ca.gov/msei/onroad/latest_version.htm The EMission FACtors (EMFAC) model is used to calculate emission rates from all motor vehicles, such as passenger cars to heavy-duty trucks, operating on highways, freeways and local roads in California. EMFAC2007 is the most recent version of this model.

11

Determining size-specific emission factors for environmental tobacco smoke  

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

Determining size-specific emission factors for environmental tobacco smoke Determining size-specific emission factors for environmental tobacco smoke particles Title Determining size-specific emission factors for environmental tobacco smoke particles Publication Type Journal Article Year of Publication 2003 Authors Klepeis, Neil E., Michael G. Apte, Lara A. Gundel, Richard G. Sextro, and William W. Nazaroff Journal Aerosol Science & Technology Volume 37 Start Page Chapter Pagination 780-790 Date Published October 2003 Abstract Because size is a major controlling factor for indoor airborne particle behavior, human particle exposure assessments will benefit from improved knowledge of size-specific particle emissions. We report a method of inferring size-specific mass emission factors for indoor sources that makes use of an indoor aerosol dynamics model, measured particle concentration time series data, and an optimization routine. This approach provides -- in addition to estimates of the emissions size distribution and integrated emission factors -- estimates of deposition rate, an enhanced understanding of particle dynamics, and information about model performance. We applied the method to size-specific environmental tobacco smoke (ETS) particle concentrations measured every minute with an 8-channel optical particle counter (PMS-LASAIR; 0.1-2+ micrometer diameters) and every 10 or 30 min with a 34-channel differential mobility particle sizer (TSI-DMPS; 0.01-1+ micrometer diameters) after a single cigarette or cigar was machine-smoked inside a low air-exchange rate 20m^3 chamber. The aerosol dynamics model provided good fits to observed concentrations when using optimized values of mass emission rate and deposition rate for each particle size range as input. Small discrepancies observed in the first 1-2 hours after smoking are likely due to the effect of particle evaporation, a process neglected by the model. Size-specific ETS particle emission factors were fit with log-normal distributions, yielding an average mass median diameter of 0.2 micrometers and an average geometric standard deviation of 2.3 with no systematic differences between cigars and cigarettes. The equivalent total particle emission rate, obtained by integrating each size distribution, was 0.2-0.7 mg/min for cigars and 0.7-0.9 mg/min for cigarettes

12

Field Derived Emission Factors For Formaldehyde and other ...  

U.S. Energy Information Administration (EIA)

Field Derived Emission Factors For Formaldehyde and other Volatile Organic Compounds in FEMA Temporary Housing Units ...

13

Emission Factors Handbook: Guidelines for Estimating Trace Substance Emissions from Fossil Fuel Steam Electric Plants  

Science Conference Proceedings (OSTI)

The "Emission Factors Handbook" provides a tool for estimating trace substances emissions from fossil-fuel-fired power plants. The suggested emission factors are based on EPRI and Department of Energy (DOE) field measurements conducted at over 50 power plants using generally consistent sampling and analytical protocols. This information will help utility personnel estimate air toxic emissions for permitting purposes.

2002-04-10T23:59:59.000Z

14

Development of the Electricity Carbon Emission Factors for Russia | Open  

Open Energy Info (EERE)

the Electricity Carbon Emission Factors for Russia the Electricity Carbon Emission Factors for Russia Jump to: navigation, search Name Development of the Electricity Carbon Emission Factors for Russia Agency/Company /Organization European Bank for Reconstruction and Development Sector Energy Focus Area Renewable Energy Topics GHG inventory Resource Type Publications Website http://www.lahmeyer.de/fileadm Country Russia Eastern Europe References Development of the Electricity Carbon Emission Factors for Russia[1] References ↑ "Development of the Electricity Carbon Emission Factors for Russia" Retrieved from "http://en.openei.org/w/index.php?title=Development_of_the_Electricity_Carbon_Emission_Factors_for_Russia&oldid=383164" Category: Programs What links here Related changes Special pages

15

Black Carbon Concentrations and Diesel Vehicle Emission Factors...  

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

Black Carbon Concentrations and Diesel Vehicle Emission Factors Derived from Coefficient of Haze Measurements in California: 1967-2003 Title Black Carbon Concentrations and Diesel...

16

Field Derived Emission Factors For Formaldehyde and other ...  

U.S. Energy Information Administration (EIA)

Field Derived Emission Factors For Formaldehyde and other ... ORGANIC COMPOUNDS; PHENOL; PLASTICIZERS; ... of TMPB-DIB (a plasticizer found in vinyl . ...

17

Emission Factors For Formaldehyde - Home | Energy Analysis ...  

U.S. Energy Information Administration (EIA)

Emissions of TMPB-DIB (a plasticizer found in vinyl products) were found to be higher than values reported in comparable housing by Hodgson et al.,3.

18

Field Derived Emission Factors For Formaldehyde and other Volatile Organic  

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

Field Derived Emission Factors For Formaldehyde and other Volatile Organic Field Derived Emission Factors For Formaldehyde and other Volatile Organic Compounds in FEMA Temporary Housing Units Title Field Derived Emission Factors For Formaldehyde and other Volatile Organic Compounds in FEMA Temporary Housing Units Publication Type Report LBNL Report Number LBNL-4083E Year of Publication 2010 Authors Parthasarathy, Srinandini, Randy L. Maddalena, Marion L. Russell, and Michael G. Apte Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract Sixteen previously occupied temporary housing units (THUs) were studied to assess emissions of volatile organic compounds. The whole trailer emission factors were evaluated for 36 VOCs including formaldehyde. Indoor sampling was carried out in the THUs located in Purvis staging yard in Mississippi, USA. Indoor temperature and relative humidity (RH) were also measured in all the trailers during sampling. Indoor temperatures were varied (increased or decreased) in a selection of THUs using the

19

Measurement of Black Carbon and Particle Number Emission Factors from  

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

Measurement of Black Carbon and Particle Number Emission Factors from Measurement of Black Carbon and Particle Number Emission Factors from Individual Heavy-Duty Trucks Title Measurement of Black Carbon and Particle Number Emission Factors from Individual Heavy-Duty Trucks Publication Type Journal Article Year of Publication 2009 Authors Ban-Weiss, George, Melissa M. Lunden, Thomas W. Kirchstetter, and Robert A. Harley Journal Environmental Science and Technology Abstract Emission factors for black carbon (BC) and particle number (PN) were measured from 226 individual heavy-duty (HD) diesel-fueled trucks driving through a 1 km-long California highway tunnel in August 2006. Emission factors were based on concurrent increases in BC, PN, and COB2B concentrations (measured at 1 Hz) that corresponded to the passage of individual HD trucks. The distributions of BC and PN emission factors from individual HD trucks are skewed, meaning that a large fraction of pollution comes from a small fraction of the in-use vehicle fleet. The highest-emitting 10% of trucks were

20

Carbon Dioxide Emission Factors for Coal  

Reports and Publications (EIA)

The Energy Information Administration (EIA) has developed factors for estimating the amount of carbon dioxide emitted, accounting for differences among coals, to reflect the changing "mix" of coal in U.S. coal consumption.

William Watson

1994-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly emission factors" 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

Indoor Residential Chemical Emissions as Risk Factors for Children's  

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

Indoor Residential Chemical Emissions as Risk Factors for Children's Indoor Residential Chemical Emissions as Risk Factors for Children's Respiratory Health Speaker(s): Mark Mendell Date: February 23, 2007 - 12:00pm Location: 90-3122 Most research into the effects of residential indoor air exposures on asthma and allergies has focused on exposures to biologic allergens, moisture and mold, endotoxin, or combustion byproducts. A growing body of research suggests that chemical emissions from common indoor materials and finishes have adverse effects, including increased risk of asthma, allergies, and pulmonary infections. The identified risk factors include specific organic compounds such as formaldehyde, benzene, and phthalates, as well as indoor materials or finishes such as vinyl flooring, carpet, paint, and plastics. This presentation presents a brief review of studies

22

Development of the Electricity Carbon Emission Factors for Ukraine | Open  

Open Energy Info (EERE)

Ukraine Ukraine Jump to: navigation, search Name Development of the Electricity Carbon Emission Factors for Ukraine Agency/Company /Organization European Bank for Reconstruction and Development Sector Energy Topics GHG inventory, Policies/deployment programs, Co-benefits assessment, Pathways analysis Resource Type Publications Website http://www.lahmeyer.de/fileadm Country Ukraine UN Region Eastern Europe References Development of the Electricity Carbon Emission Factors for Ukraine[1] "The study project "Development of the Electricity Carbon Emission Factors for Ukraine" was assigned by the European Bank for Development and Reconstruction (EBRD) to the consultant Lahmeyer International with Perspective as subcontractor on 16 July 2009. It is a baseline study with the overall goal to calculate reliable carbon

23

Emission factors for ammonia and particulate matter from broiler Houses  

E-Print Network (OSTI)

Total suspended particulate (TSP) concentrations, ammonia (NH?) concentrations, and ventilation rates were measured in four commercial, tunnel ventilated broiler houses in June through December of 2000 in Brazos County, Texas. Particle size distributions were developed from TSP samplers collected and used to determine the mass fraction of PM?? in the TSP samples collected. Concentrations of TSP and ammonia measured were multiplied by the ventilation rates measured to obtain emission factors for PM?? and ammonia from tunnel ventilated commercial broiler houses. TSP and NH? concentrations ranged from 7,387 to 11,387 []g/m and 2.02 to 45 ppm, respectively. Ammonia concentration exhibited a correlation with the age of the birds. Mass median diameters (MMD) found using particle size analysis with a Coulter Counter Multisizer were between 24.0 and 26.7 mm aerodynamic equivalent diameter. MMD increased with bird age. The mass fraction of PM?? in the TSP samples was between 2.72% and 8.40% with a mean of 5.94%. Ventilation rates were measured between 0.58 and 89 m/s. Ammonia emission rates varied from 38 to 2105 g/hr. TSP emission rates and PM?? emission rates ranged from 7.0 to 1673 g/hr 0.58 to 99 g/hr respectively. Emission rates for ammonia and particulate matter increased with the age of the birds. Error and sensitivity analysis was conducted using Monte Carlo simulation for the calculation of emission rates. Error for ammonia emission rates was 99 g/hr during tunnel ventilation and 6 g/hr during sidewall ventilation. Error for TSP emission rates was 79 g/hr and 11 g/hr for tunnel and sidewall ventilation respectively. Sensitivity analysis showed that ventilation rate measurements and measurement of ammonia concentration had the most effect on the emission rates. Emission factors of NH? and PM?? estimated for these buildings were 1.32 0.472 g/bird and 22.8 9.28 g/bird, respectively. These emission factors take into account the variation of PM?? and NH? concentrations and ventilation rates with the age of the birds.

Redwine, Jarah Suzanne

2001-01-01T23:59:59.000Z

24

Development of an ammonia emission protocol and preliminary emission factor for a central Texas dairy  

E-Print Network (OSTI)

A protocol was developed to measure ammonia emission concentrations from dairies using an isolation flux chamber. A hybrid dairy in Comanche county, Texas, was measured for one week each during August 2002 and January 2003. Sixty total ammonia samples were taken from the free stall barn, open lot, mixing tank, separated solids, compost, and two lagoons using the developed protocol. The ammonia concentration measurements were made using a chemiluminescence analyzer located inside a mobile laboratory. From the emission concentrations recorded, it was estimated that 9.68 metric tons of ammonia were produced from this dairy per year. An emission factor of 13.34 28.80 kilograms per day per thousand head of cattle (kg/day/1000 head) was estimated for this dairy (95% confidence intervals) during summer conditions. For winter conditions the emission factor was 12.05 12.89 kg/day/1000 head. The 11% difference of the emission factors from summer to winter conditions was predominantly from the change in ambient and control volume temperatures (a mean difference of approximately 25 degrees Celsius), differences in source temperatures, and seasonal variability in husbandry. The adsorption of ammonia onto different polymer tubing used in pollutant stream conveyance was researched for possible systematic losses. Teflon and low density polyethylene (LDPE) were tested for ammonia losses with treatments of: temperature, length, and inlet concentration. Inlet concentration and temperature were significant factors used to describe ammonia adsorption for Teflon, whereas LDPE was also affected by tubing length. These factors were used to create a model to correct the summer dairy measurements for ammonia losses, resulting in an emission factor increase of 8.3% over the original value obtained from the flux chamber. A nitrogen mass balance was performed to estimate the amount of nitrogen available for ammonia formation as excreted - 177.5 kilograms per year per animal (wet basis). The amount of ammonia excreted per year was also estimated to be 26.63 kilograms per year. The measured ammonia emitted from the dairy was five times less than the ammonia excreted and thirty-six times less than the total nitrogen excreted.

Rose, Adam Joseph

2003-05-01T23:59:59.000Z

25

OpenEI - sulfur dioxide emissions  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4600 en Hourly Energy Emission Factors for Electricity Generation in the United States http:en.openei.orgdatasetsnode488...

26

Emission Factors Handbook Addendum 2: Guidelines for Estimating Trace Substance Emissions from Fossil Fuel Steam Electric Power Plan ts  

Science Conference Proceedings (OSTI)

This handbook provides a tool for estimating trace substances emissions from fossil-fuel-fired power plants. The suggested emission factors are based on EPRI and U.S. Department of Energy (DOE) field measurements conducted at 51 power plants using generally consistent sampling and analytical protocols. This information will help utility personnel estimate air toxic emissions for permitting purposes.

2000-12-22T23:59:59.000Z

27

Advanced Petroleum-Based Fuels - Diesel Emissions Project (APBF-DEC): 2,000-Hour Performance of a NOx Adsorber Catalyst and Diesel Particle Filter System for a Medium-Duty, Pick-Up Diesel Engine Platform; Final Report  

Science Conference Proceedings (OSTI)

Presents the results of a 2,000-hour test of an emissions control system consisting of a nitrogen oxides adsorber catalyst in combination with a diesel particle filter, advanced fuels, and advanced engine controls in an SUV/pick-up truck vehicle platform.

Not Available

2007-03-01T23:59:59.000Z

28

SMALL CHAMBER MEASUREMENT OF CHEMICAL SPECIFIC EMISSION FACTORS...  

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

tests that provide elemental characterization of drywall, characterization of chemical emissions, and in-home air sampling. The chemical emission testing was conducted at...

29

Fuel Sulfur Effects on a Medium-Duty Diesel Pick-Up with a NOx Adsorber, Diesel Particle Filter Emissions Control System: 2000-Hour Aging Results  

DOE Green Energy (OSTI)

Discusses the emission results of a nitrogen oxide adsorber catalyst and a diesel particle filter in a medium-duty, diesel pick-up truck.

Thornton, M.; Webb, C. C.; Weber, P. A.; Orban, J.; Slone, E.

2006-05-01T23:59:59.000Z

30

Field Derived Emission Factors For Formaldehyde and other Volatile Organic Compounds in FEMA Temporary Housing Units  

E-Print Network (OSTI)

Hippelein 4 . Emissions of TMPB-DIB (a plasticizer found informaldehyde, phenol, and TMPB-DIB. As reported by Maddalenamay have contributed to high TMPB-DIB emission factors. The

Parthasarathy, Srinandini

2011-01-01T23:59:59.000Z

31

A science based emission factor for particulate matter emitted from cotton harvesting  

E-Print Network (OSTI)

Poor regional air quality in some states across the US cotton belt has resulted in increased pressure on agricultural sources of particulate matter (PM) from air pollution regulators. Moreover, inaccurate emission factors used in the calculation of annual emissions inventories led to the identification of cotton harvesting as a significant source of PM10 in California and Arizona. As a result, cotton growers in these states are now required to obtain air quality permits and submit management practice plans detailing the actions taken by the producer to reduce fugitive PM emissions from field operations. The objective of this work was to develop accurate PM emission factors for cotton harvesting in terms of total suspended particulate (TSP), PM10, and PM2.5. Two protocols were developed and used to develop PM emission factors from cotton harvesting operations on three farms in Texas during 2006 and 2007. Protocol one utilized TSP concentrations measured downwind of harvesting operations with meteorological data measured onsite in a dispersion model to back-calculate TSP emission flux values. Flux values, determined with the regulatory dispersion models ISCST3 and AERMOD, were converted to emission factors and corrected with results from particle size distribution (PSD) analyses to report emission factors in terms of PM10 and PM2.5. Emission factors were developed for two-row (John Deere 9910) and sixrow (John Deere 9996) cotton pickers with protocol one. The uncertainty associated with the emission factors developed through protocol one resulted in no significant difference between the emission factors for the two machines. Under the second protocol, emission concentrations were measured onboard the six-row cotton picker as the machine harvested cotton. PM10 and PM2.5 emission factors were developed from TSP emission concentration measurements converted to emission rates using the results of PSD analysis. The total TSP, PM10, and PM2.5 emission factors resulting from the source measurement protocol are 1.64 0.37, 0.55 0.12, and 1.58E- 03 4.5E-04 kg/ha, respectively. These emission factors contain the lowest uncertainty and highest level of precision of any cotton harvesting PM emission factors ever developed. Thus, the emission factors developed through the source sampling protocol are recommended for regulatory use.

Wanjura, John David

2008-05-01T23:59:59.000Z

32

"1. Carbon Dioxide Emission Factors for Stationary Combustion1"  

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

Fuel Emission Factors" Fuel Emission Factors" "(From Appendix H of the instructions to Form EIA-1605)" "1. Carbon Dioxide Emission Factors for Stationary Combustion1" "Fuel ",,"Emission Factor ",,"Units" "Coal2" "Anthracite",,103.69,,"kg CO2 / MMBtu" "Bituminous",,93.28,,"kg CO2 / MMBtu" "Sub-bituminous",,97.17,,"kg CO2 / MMBtu" "Lignite",,97.72,,"kg CO2 / MMBtu" "Electric Power Sector",,95.52,,"kg CO2 / MMBtu" "Industrial Coking",,93.71,,"kg CO2 / MMBtu" "Other Industrial",,93.98,,"kg CO2 / MMBtu" "Residential/Commercial",,95.35,,"kg CO2 / MMBtu" "Natural Gas3"

33

Handbook of Emission Factors for Road Transport (HBEFA) | Open Energy  

Open Energy Info (EERE)

of Emission Factors for Road Transport (HBEFA) of Emission Factors for Road Transport (HBEFA) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Handbook of Emission Factors for Road Transport (HBEFA) Focus Area: Clean Transportation Topics: Policy, Deployment, & Program Impact Website: www.hbefa.net/e/index.html Equivalent URI: cleanenergysolutions.org/content/handbook-emission-factors-road-transp Language: "English,French,German" is not in the list of possible values (Abkhazian, Achinese, Acoli, Adangme, Adyghe; Adygei, Afar, Afrihili, Afrikaans, Afro-Asiatic languages, Ainu, Akan, Akkadian, Albanian, Aleut, Algonquian languages, Altaic languages, Amharic, Angika, Apache languages, Arabic, Aragonese, Arapaho, Arawak, Armenian, Aromanian; Arumanian; Macedo-Romanian, Artificial languages, Assamese, Asturian; Bable; Leonese; Asturleonese, Athapascan languages, Australian languages, Austronesian languages, Avaric, Avestan, Awadhi, Aymara, Azerbaijani, Balinese, Baltic languages, Baluchi, Bambara, Bamileke languages, Banda languages, Bantu (Other), Basa, Bashkir, Basque, Batak languages, Beja; 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Kyrgyz, Klingon; tlhIngan-Hol, Komi, Kongo, Konkani, Korean, Kosraean, Kpelle, Kru languages, Kuanyama; Kwanyama, Kumyk, Kurdish, Kurukh, Kutenai, Ladino, Lahnda, Lamba, Land Dayak languages, Lao, Latin, Latvian, Lezghian, Limburgan; Limburger; Limburgish, Lingala, Lithuanian, Lojban, Lower Sorbian, Lozi, Luba-Katanga, Luba-Lulua, Luiseno, Lule Sami, Lunda, Luo (Kenya and Tanzania), Lushai, Luxembourgish; Letzeburgesch, Macedonian, Madurese, Magahi, Maithili, Makasar, Malagasy, Malay, Malayalam, Maltese, Manchu, Mandar, Mandingo, Manipuri, Manobo languages, Manx, Maori, Mapudungun; Mapuche, Marathi, Mari, Marshallese, Marwari, Masai, Mayan languages, Mende, Mi'kmaq; Micmac, Minangkabau, Mirandese, Mohawk, Moksha, Mon-Khmer languages, Mongo, Mongolian, Mossi, Multiple languages, Munda languages, N'Ko, Nahuatl languages, Nauru, Navajo; Navaho, Ndebele, North; North Ndebele, Ndebele, South; South Ndebele, Ndonga, Neapolitan, Nepal Bhasa; Newari, Nepali, Nias, Niger-Kordofanian languages, Nilo-Saharan languages, Niuean, North American Indian languages, Northern Frisian, Northern Sami, Norwegian, Nubian languages, Nyamwezi, Nyankole, Nyoro, Nzima, Occitan (post 1500); Provençal, Ojibwa, Oriya, Oromo, Osage, Ossetian; Ossetic, Otomian languages, Pahlavi, Palauan, Pali, Pampanga; Kapampangan, Pangasinan, Panjabi; Punjabi, Papiamento, Papuan languages, Pedi; Sepedi; Northern Sotho, Persian, Philippine languages, Phoenician, Pohnpeian, Polish, Portuguese, Prakrit languages, Pushto; Pashto, Quechua, Rajasthani, Rapanui, Rarotongan; Cook Islands Maori, Romance languages, Romanian; Moldavian; Moldovan, Romansh, Romany, Rundi, Russian, Salishan languages, Samaritan Aramaic, Sami languages, Samoan, Sandawe, Sango, Sanskrit, Santali, Sardinian, Sasak, Scots, Selkup, Semitic languages, Serbian, Serer, Shan, Shona, Sichuan Yi; Nuosu, Sicilian, Sidamo, Sign Languages, Siksika, Sindhi, Sinhala; Sinhalese, Sino-Tibetan languages, Siouan languages, Skolt Sami, Slave (Athapascan), Slavic languages, Slovak, Slovenian, Sogdian, Somali, Songhai languages, Soninke, Sorbian languages, Sotho, Southern, South American Indian (Other), Southern Altai, Southern Sami, Spanish; Castilian, Sranan Tongo, Sukuma, Sumerian, Sundanese, Susu, Swahili, Swati, Swedish, Swiss German; Alemannic; Alsatian, Syriac, Tagalog, Tahitian, Tai languages, Tajik, Tamashek, Tamil, Tatar, Telugu, Tereno, Tetum, Thai, Tibetan, Tigre, Tigrinya, Timne, Tiv, Tlingit, Tok Pisin, Tokelau, Tonga (Nyasa), Tonga (Tonga Islands), Tsimshian, Tsonga, Tswana, Tumbuka, Tupi languages, Turkish, Turkmen, Tuvalu, Tuvinian, Twi, Udmurt, Ugaritic, Uighur; Uyghur, Ukrainian, Umbundu, Uncoded languages, Undetermined, Upper Sorbian, Urdu, Uzbek, Vai, Venda, Vietnamese, Volapük, Votic, Wakashan languages, Walamo, Walloon, Waray, Washo, Welsh, Western Frisian, Wolof, Xhosa, Yakut, Yao, Yapese, Yiddish, Yoruba, Yupik languages, Zande languages, Zapotec, Zaza; Dimili; Dimli; Kirdki; Kirmanjki; Zazaki, Zenaga, Zhuang; Chuang, Zulu, Zuni) for this property.

34

Field Derived Emission Factors For Formaldehyde and other ...  

U.S. Energy Information Administration (EIA)

Emissions of TMPB-DIB (a plasticizer found in vinyl products) were found to be higher than values reported in comparable housing by Hodgson et al.,3.

35

On-Road Measurement of Gas and Particle Phase Pollutant Emission Factors  

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

On-Road Measurement of Gas and Particle Phase Pollutant Emission Factors On-Road Measurement of Gas and Particle Phase Pollutant Emission Factors for Individual Heavy-Duty Diesel Trucks Title On-Road Measurement of Gas and Particle Phase Pollutant Emission Factors for Individual Heavy-Duty Diesel Trucks Publication Type Journal Article Year of Publication 2012 Authors Dallmann, Timothy R., Steven J. DeMartini, Thomas W. Kirchstetter, Scott C. Herndon, Timothy B. Onasch, Ezra C. Wood, and Robert A. Harley Journal Environmental Science and Technology Volume 46 Issue 15 Pagination 8511-8518 Abstract Pollutant concentrations in the exhaust plumes of individual diesel trucks were measured at high time resolution in a highway tunnel in Oakland, CA, during July 2010. Emission factors for individual trucks were calculated using a carbon balance method, in which pollutants measured in each exhaust plume were normalized to measured concentrations of carbon dioxide. Pollutants considered here include nitric oxide, nitrogen dioxide (NO2), carbon monoxide, formaldehyde, ethene, and black carbon (BC), as well as optical properties of emitted particles. Fleet-average emission factors for oxides of nitrogen (NOx) and BC respectively decreased 30 ± 6 and 37 ± 10% relative to levels measured at the same location in 2006, whereas a 34 ± 18% increase in the average NO2 emission factor was observed. Emissions distributions for all species were skewed with a small fraction of trucks contributing disproportionately to total emissions. For example, the dirtiest 10% of trucks emitted half of total NO2 and BC emissions. Emission rates for NO2 were found to be anticorrelated with all other species considered here, likely due to the use of catalyzed diesel particle filters to help control exhaust emissions. Absorption and scattering cross-section emission factors were used to calculate the aerosol single scattering albedo (SSA, at 532 nm) for individual truck exhaust plumes, which averaged 0.14 ± 0.03.

36

Source Energy and Emission Factors for Energy Use in Buildings (Revised)  

SciTech Connect

This document supports the other measurement procedures and all building energy-monitoring projects by providing methods to calculate the source energy and emissions from the energy measured at the building. Energy and emission factors typically account for the conversion inefficiencies at the power plant and the transmission and distribution losses from the power plant to the building. The energy and emission factors provided here also include the precombustion effects, which are the energy and emissions associated with extracting, processing, and delivering the primary fuels to the point of conversion in the electrical power plants or directly in the buildings.

Deru, M.; Torcellini, P.

2007-06-01T23:59:59.000Z

37

Indoor Residential Chemical Emissions as Risk Factors for Children...  

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

The identified risk factors include specific organic compounds such as formaldehyde, benzene, and phthalates, as well as indoor materials or finishes such as vinyl flooring,...

38

Small-Chamber Measurements of Chemical-Specific Emission Factors for  

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

Small-Chamber Measurements of Chemical-Specific Emission Factors for Small-Chamber Measurements of Chemical-Specific Emission Factors for Drywall Title Small-Chamber Measurements of Chemical-Specific Emission Factors for Drywall Publication Type Report Year of Publication 2010 Authors Maddalena, Randy L., Marion L. Russell, Moya Melody, and Michael G. Apte Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract Imported drywall installed in U.S. homes is suspected of being a source of odorous and potentially corrosive indoor pollutants. To support an investigation of those building materials by the Consumer Products Safety Commission (CPSC), Lawrence Berkeley National Laboratory (LBNL) measured chemical-specific emission factors for 30 samples of drywall materials. Emission factors are reported for 75 chemicals and 30 different drywall samples encompassing both domestic and imported stock and incorporating natural, synthetic, or mixed gypsum core material. CPSC supplied all drywall materials. First the drywall samples were isolated and conditioned in dedicated chambers, then they were transferred to small chambers where emission testing was performed. Four sampling and analysis methods were utilized to assess (1) volatile organic compounds, (2) low molecular weight carbonyls, (3) volatile sulfur compounds, and (4) reactive sulfur gases. LBNL developed a new method that combines the use of solid phase microextraction (SPME) with small emission chambers to measure the reactive sulfur gases, then extended that technique to measure the full suite of volatile sulfur compounds. The testing procedure and analysis methods are described in detail herein. Emission factors were measured under a single set of controlled environmental conditions. The results are compared graphically for each method and in detailed tables for use in estimating indoor exposure concentrations

39

hourly | OpenEI  

Open Energy Info (EERE)

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

40

Size-Resolved Particle Number and Volume Emission Factors for On-Road  

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

Size-Resolved Particle Number and Volume Emission Factors for On-Road Size-Resolved Particle Number and Volume Emission Factors for On-Road Gasoline and Diesel Motor Vehicles Title Size-Resolved Particle Number and Volume Emission Factors for On-Road Gasoline and Diesel Motor Vehicles Publication Type Journal Article Year of Publication 2009 Authors Ban-Weiss, George, Melissa M. Lunden, Thomas W. Kirchstetter, and Robert A. Harley Journal Journal of Aerosol Science Keywords emission, motor vehicle, particle number, size distribution, tunnel Abstract Average particle number concentrations and size distributions from ~61 000 light-duty (LD) vehicles and ~2500 medium-duty (MD) and heavy-duty (HD) trucks were measured during the summer of 2006 in a San Francisco Bay area traffic tunnel. One of the traffic bores contained only LD vehicles, and the other contained mixed traffic, allowing pollutants to be apportioned between LD vehicles and diesel trucks. Particle number emission factors (particle diameter Dp > 3 nm) were found to be (3.9 ± 1.4) x 1014 and (3.3 ± 1.3) x 1015 # kg-1 fuel burned for LD vehicles and diesel trucks, respectively. Size distribution measurements showed that diesel trucks emitted at least an order of magnitude more particles for all measured sizes (10 < Dp < 290 nm) per unit mass of fuel burned. The relative importance of LD vehicles as a source of particles increased as Dp decreased. Comparing the results from this study to previous measurements at the same site showed that particle number emission factors have decreased for both LD vehicles and diesel trucks since 1997. Integrating size distributions with a volume weighting

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41

Estimating carbon dioxide emission factors for the California electric power sector  

SciTech Connect

The California Climate Action Registry (''Registry'') was initially established in 2000 under Senate Bill 1771, and clarifying legislation (Senate Bill 527) was passed in September 2001. The Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) has been asked to provide technical assistance to the California Energy Commission (CEC) in establishing methods for calculating average and marginal electricity emissions factors, both historic and current, as well as statewide and for sub-regions. This study is exploratory in nature. It illustrates the use of three possible approaches and is not a rigorous estimation of actual emissions factors. While the Registry will ultimately cover emissions of all greenhouse gases (GHGs), presently it is focusing on carbon dioxide (CO2). Thus, this study only considers CO2, which is by far the largest GHG emitted in the power sector. Associating CO2 emissions with electricity consumption encounters three major complications. First, electricity can be generated from a number of different primary energy sources, many of which are large sources of CO2 emissions (e.g., coal combustion) while others result in virtually no CO{sub 2} emissions (e.g., hydro). Second, the mix of generation resources used to meet loads may vary at different times of day or in different seasons. Third, electrical energy is transported over long distances by complex transmission and distribution systems, so the generation sources related to electricity usage can be difficult to trace and may occur far from the jurisdiction in which that energy is consumed. In other words, the emissions resulting from electricity consumption vary considerably depending on when and where it is used since this affects the generation sources providing the power. There is no practical way to identify where or how all the electricity used by a certain customer was generated, but by reviewing public sources of data the total emission burden of a customer's electricity supplier can b e found and an average emissions factor (AEF) calculated. These are useful for assigning a net emission burden to a facility. In addition, marginal emissions factors (MEFs) for estimating the effect of changing levels of usage can be calculated. MEFs are needed because emission rates at the margin are likely to diverge from the average. The overall objective of this task is to develop methods for estimating AEFs and MEFs that can provide an estimate of the combined net CO2 emissions from all generating facilities that provide electricity to California electricity customers. The method covers the historic period from 1990 to the present, with 1990 and 1999 used as test years. The factors derived take into account the location and time of consumption, direct contracts for power which may have certain atypical characteristics (e.g., ''green'' electricity from renewable resources), resource mixes of electricity providers, import and export of electricity from utility owned and other sources, and electricity from cogeneration. It is assumed that the factors developed in this way will diverge considerably from simple statewide AEF estimates based on standardized inventory estimates that use conventions inconsistent with the goals of this work. A notable example concerns the treatment of imports, which despite providing a significant share of California's electricity supply picture, are excluded from inventory estimates of emissions, which are based on geographical boundaries of the state.

Marnay, Chris; Fisher, Diane; Murtishaw, Scott; Phadke, Amol; Price, Lynn; Sathaye, Jayant

2002-08-01T23:59:59.000Z

42

Estimating carbon dioxide emission factors for the California electric power sector  

SciTech Connect

The California Climate Action Registry (''Registry'') was initially established in 2000 under Senate Bill 1771, and clarifying legislation (Senate Bill 527) was passed in September 2001. The Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) has been asked to provide technical assistance to the California Energy Commission (CEC) in establishing methods for calculating average and marginal electricity emissions factors, both historic and current, as well as statewide and for sub-regions. This study is exploratory in nature. It illustrates the use of three possible approaches and is not a rigorous estimation of actual emissions factors. While the Registry will ultimately cover emissions of all greenhouse gases (GHGs), presently it is focusing on carbon dioxide (CO2). Thus, this study only considers CO2, which is by far the largest GHG emitted in the power sector. Associating CO2 emissions with electricity consumption encounters three major complications. First, electricity can be generated from a number of different primary energy sources, many of which are large sources of CO2 emissions (e.g., coal combustion) while others result in virtually no CO{sub 2} emissions (e.g., hydro). Second, the mix of generation resources used to meet loads may vary at different times of day or in different seasons. Third, electrical energy is transported over long distances by complex transmission and distribution systems, so the generation sources related to electricity usage can be difficult to trace and may occur far from the jurisdiction in which that energy is consumed. In other words, the emissions resulting from electricity consumption vary considerably depending on when and where it is used since this affects the generation sources providing the power. There is no practical way to identify where or how all the electricity used by a certain customer was generated, but by reviewing public sources of data the total emission burden of a customer's electricity supplier can b e found and an average emissions factor (AEF) calculated. These are useful for assigning a net emission burden to a facility. In addition, marginal emissions factors (MEFs) for estimating the effect of changing levels of usage can be calculated. MEFs are needed because emission rates at the margin are likely to diverge from the average. The overall objective of this task is to develop methods for estimating AEFs and MEFs that can provide an estimate of the combined net CO2 emissions from all generating facilities that provide electricity to California electricity customers. The method covers the historic period from 1990 to the present, with 1990 and 1999 used as test years. The factors derived take into account the location and time of consumption, direct contracts for power which may have certain atypical characteristics (e.g., ''green'' electricity from renewable resources), resource mixes of electricity providers, import and export of electricity from utility owned and other sources, and electricity from cogeneration. It is assumed that the factors developed in this way will diverge considerably from simple statewide AEF estimates based on standardized inventory estimates that use conventions inconsistent with the goals of this work. A notable example concerns the treatment of imports, which despite providing a significant share of California's electricity supply picture, are excluded from inventory estimates of emissions, which are based on geographical boundaries of the state.

Marnay, Chris; Fisher, Diane; Murtishaw, Scott; Phadke, Amol; Price, Lynn; Sathaye, Jayant

2002-08-01T23:59:59.000Z

43

NERSC Edison Hours Used Report  

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

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

44

Linear regression analysis of emissions factors when firing fossil fuels and biofuels in a commercial water-tube boiler  

Science Conference Proceedings (OSTI)

This paper compares the emissions factors for a suite of liquid biofuels (three animal fats, waste restaurant grease, pressed soybean oil, and a biodiesel produced from soybean oil) and four fossil fuels (i.e., natural gas, No. 2 fuel oil, No. 6 fuel oil, and pulverized coal) in Penn State's commercial water-tube boiler to assess their viability as fuels for green heat applications. The data were broken into two subsets, i.e., fossil fuels and biofuels. The regression model for the liquid biofuels (as a subset) did not perform well for all of the gases. In addition, the coefficient in the models showed the EPA method underestimating CO and NOx emissions. No relation could be studied for SO{sub 2} for the liquid biofuels as they contain no sulfur; however, the model showed a good relationship between the two methods for SO{sub 2} in the fossil fuels. AP-42 emissions factors for the fossil fuels were also compared to the mass balance emissions factors and EPA CFR Title 40 emissions factors. Overall, the AP-42 emissions factors for the fossil fuels did not compare well with the mass balance emissions factors or the EPA CFR Title 40 emissions factors. Regression analysis of the AP-42, EPA, and mass balance emissions factors for the fossil fuels showed a significant relationship only for CO{sub 2} and SO{sub 2}. However, the regression models underestimate the SO{sub 2} emissions by 33%. These tests illustrate the importance in performing material balances around boilers to obtain the most accurate emissions levels, especially when dealing with biofuels. The EPA emissions factors were very good at predicting the mass balance emissions factors for the fossil fuels and to a lesser degree the biofuels. While the AP-42 emissions factors and EPA CFR Title 40 emissions factors are easier to perform, especially in large, full-scale systems, this study illustrated the shortcomings of estimation techniques. 23 refs., 3 figs., 8 tabs.

Sharon Falcone Miller; Bruce G. Miller [Pennsylvania State University, University Park, PA (United States). Energy Institute

2007-12-15T23:59:59.000Z

45

Field Derived Emission Factors For Formaldehyde and other Volatile Organic Compounds in FEMA Temporary Housing Units  

Science Conference Proceedings (OSTI)

Sixteen previously occupied temporary housing units (THUs) were studied to assess emissions of volatile organic compounds. The whole trailer emission factors wereevaluated for 36 VOCs including formaldehyde. Indoor sampling was carried out in the THUs located in Purvis staging yard in Mississippi, USA. Indoor temperature andrelative humidity (RH) were also measured in all the trailers during sampling. Indoor temperatures were varied (increased or decreased) in a selection of THUs using theheating, ventilation and air conditioning (HVAC) systems. Indoor temperatures during sampling ranged from 14o C to 33o C, and relative humidity (RH) varied between 35percentand 74percent. Ventilation rates were increased in some trailers using bathroom fans and vents during some of the sampling events. Ventilation rates measured during some aselection of sampling events varied from 0.14 to 4.3 h-1. Steady state indoor formaldehyde concentrations ranged from 10 mu g-m-3 to 1000 mu g-m-3. The formaldehyde concentrations in the trailers were of toxicological significance. The effects of temperature, humidity and ventilation rates were also studied. A linearregression model was built using log of percentage relative humidity, inverse of temperature (in K-1), and inverse log ACH as continuous independent variables, trailermanufacturer as a categorical independent variable, and log of the chemical emission factors as the dependent variable. The coefficients of inverse temperature, log relativehumidity, log inverse ACH with log emission factor were found to be statistically significant for all the samples at the 95percent confidence level. The regression model wasfound to explain about 84percent of the variation in the dependent variable. Most VOC concentrations measured indoors in the Purvis THUs were mostly found to be belowvalues reported in earlier studies by Maddalena et al.,1,2 Hodgson et al.,3 and Hippelein4. Emissions of TMPB-DIB (a plasticizer found in vinyl products) were found to be higher than values reported in comparable housing by Hodgson et al.,3. Emissions of phenol were also found to be slightly higher than values reported in earlier studies1,2,3. This study can assist in retrospective formaldehyde exposure assessments of THUs where estimates of the occupants indoor formaldehyde exposures are needed.

Parthasarathy, Srinandini; Maddalena, Randy L.; Russell, Marion L.; Apte, Michael G.

2010-10-01T23:59:59.000Z

46

Updated greenhouse gas and criteria air pollutant emission factors and their probability distribution functions for electricity generating units  

Science Conference Proceedings (OSTI)

Greenhouse gas (CO{sub 2}, CH{sub 4} and N{sub 2}O, hereinafter GHG) and criteria air pollutant (CO, NO{sub x}, VOC, PM{sub 10}, PM{sub 2.5} and SO{sub x}, hereinafter CAP) emission factors for various types of power plants burning various fuels with different technologies are important upstream parameters for estimating life-cycle emissions associated with alternative vehicle/fuel systems in the transportation sector, especially electric vehicles. The emission factors are typically expressed in grams of GHG or CAP per kWh of electricity generated by a specific power generation technology. This document describes our approach for updating and expanding GHG and CAP emission factors in the GREET (Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation) model developed at Argonne National Laboratory (see Wang 1999 and the GREET website at http://greet.es.anl.gov/main) for various power generation technologies. These GHG and CAP emissions are used to estimate the impact of electricity use by stationary and transportation applications on their fuel-cycle emissions. The electricity generation mixes and the fuel shares attributable to various combustion technologies at the national, regional and state levels are also updated in this document. The energy conversion efficiencies of electric generating units (EGUs) by fuel type and combustion technology are calculated on the basis of the lower heating values of each fuel, to be consistent with the basis used in GREET for transportation fuels. On the basis of the updated GHG and CAP emission factors and energy efficiencies of EGUs, the probability distribution functions (PDFs), which are functions that describe the relative likelihood for the emission factors and energy efficiencies as random variables to take on a given value by the integral of their own probability distributions, are updated using best-fit statistical curves to characterize the uncertainties associated with GHG and CAP emissions in life-cycle modeling with GREET.

Cai, H.; Wang, M.; Elgowainy, A.; Han, J. (Energy Systems)

2012-07-06T23:59:59.000Z

47

Supplement D to compilation of air pollutant emission factors. Volume 1: Stationary point and area sources (fifth edition)  

SciTech Connect

This document contains emission factors and process information for more than 200 air pollution source categories. These emission factors have been compiled from source test data, material balance studies, and they can be used judiciously in making emission estimations for various purposes. This supplement to AP-42 addresses pollutant-generating activity from natural gas combustion, wood waste combustion in boilers; municipal solid waste landfills; waste water collection, treatment and storage; organic liquid storage tanks; nitric acid; grain elevators and processes; plywood manufacturing; lime manufacturing; primary aluminum production; paved roads; abrasive blasting; enteric fermentation -- greenhouse gases.

NONE

1998-08-31T23:59:59.000Z

48

sulfur dioxide emissions | OpenEI  

Open Energy Info (EERE)

sulfur dioxide emissions sulfur dioxide emissions Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago) Keywords buildings carbon dioxide emissions carbon footprinting CO2 commercial buildings electricity emission factors ERCOT hourly emission factors interconnect nitrogen oxides

49

OpenEI - hourly data  

Open Energy Info (EERE)

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

50

Transitioning to 12-hour shifts  

Science Conference Proceedings (OSTI)

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

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

1993-03-01T23:59:59.000Z

51

NERSC Franklin Hours Used Report  

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

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

52

Black Carbon Concentrations and Diesel Vehicle Emission Factors Derived from Coefficient of Haze Measurements in California: 1967-2003  

SciTech Connect

We have derived ambient black carbon (BC) concentrations and estimated emission factors for on-road diesel vehicles from archived Coefficient of Haze (COH) data that was routinely collected beginning in 1967 at 11 locations in the San Francisco Bay Area. COH values are a measure of the attenuation of light by particles collected on a white filter, and available data indicate they are proportional to BC concentrations measured using the conventional aethalometer. Monthly averaged BC concentrations are up to five times greater in winter than summer, and, consequently, so is the population?s exposure to BC. The seasonal cycle in BC concentrations is similar for all Bay Area sites, most likely due to area-wide decreased pollutant dispersion during wintertime. A strong weekly cycle is also evident, with weekend concentrations significantly lower than weekday concentrations, consistent with decreased diesel traffic volume on weekends. The weekly cycle suggests that, in the Bay Area, diesel vehicle emissions are the dominant source of BC aerosol. Despite the continuous increase in diesel fuel consumption in California, annual Bay Area average BC concentrations decreased by a factor of ~;;3 from the late 1960s to the early 2000s. Based on estimated annual BC concentrations, on-road diesel fuel consumption, and recent measurements of on-road diesel vehicle BC emissions, diesel BC emission factors decreased by an order of magnitude over the study period. Reductions in the BC emission factor reflect improved engine technology, emission controls and changes in diesel fuel composition. A new BC monitoring network is needed to continue tracking ambient BC trends because the network of COH monitors has recently been retired.

Tast, CynthiaL; Kirchstetter, Thomas W.; Aguiar, Jeffery; Tonse, Shaheen; Novakov, T.; Fairley, David

2007-11-09T23:59:59.000Z

53

Black Carbon Concentrations and Diesel Vehicle Emission FactorsDerived from Coefficient of Haze Measurements in California:1967-2003  

SciTech Connect

We have derived ambient black carbon (BC) concentrations and estimated emission factors for on-road diesel vehicles from archived Coefficient of Haze (COH) data that was routinely collected beginning in 1967 at 11 locations in the San Francisco Bay Area. COH values are a measure of the attenuation of light by particles collected on a white filter, and available data indicate they are proportional to BC concentrations measured using the conventional aethalometer. Monthly averaged BC concentrations are up to five times greater in winter than summer, and, consequently, so is the population's exposure to BC. The seasonal cycle in BC concentrations is similar for all Bay Area sites, most likely due to area-wide decreased pollutant dispersion during wintertime. A strong weekly cycle is also evident, with weekend concentrations significantly lower than weekday concentrations, consistent with decreased diesel traffic volume on weekends. The weekly cycle suggests that, in the Bay Area, diesel vehicle emissions are the dominant source of BC aerosol. Despite the continuous increase in diesel fuel consumption in California, annual Bay Area average BC concentrations decreased by a factor of {approx}3 from the late 1960s to the early 2000s. Based on estimated annual BC concentrations, on-road diesel fuel consumption, and recent measurements of on-road diesel vehicle BC emissions, diesel BC emission factors decreased by an order of magnitude over the study period. Reductions in the BC emission factor reflect improved engine technology, emission controls and changes in diesel fuel composition. A new BC monitoring network is needed to continue tracking ambient BC trends because the network of COH monitors has recently been retired.

Kirchstetter, Thomas W.; Aguiar, Jeffery; Tonse, Shaheen; Novakov, T.

2007-10-01T23:59:59.000Z

54

The Use of Positive Matrix Factorization with Conditional Probability Functions in Air Quality Studies: An Application to Hydrocarbon Emissions in Houston, Texas  

SciTech Connect

As part of a study to identify groups of compounds (source categories) associated with different processing facilities, a multivariate receptor model called Positive Matrix Factorization (PMF) was applied to hourly average concentrations of volatile organic compounds (VOCs) measured at five Photochemical Assessment Monitoring Stations (PAMS) located near the Ship Channel in Houston, Texas. The observations were made between June and October, 2003, and limited to nighttime measurements (21:00 pm 6:00 am) in order to remove the complexity of photochemical processing and associated changes in the concentrations of primary and secondary VOCs. Six to eight volatile organic compounds source categories were identified for the five Ship Channel sites. The dominant source categories were found to be those associated with petrochemical, chemical industries and fuel evaporation. In contrast, source categories associated with on-road vehicles were found to be relatively insignificant. Although evidence of biogenic emissions was found at almost all the sites, this broad category was significant only at the Wallisville site, which was also the site furthest away from the Ship Channels area and closest to the northeast forest of Texas. Natural gas, accumulation and fuel evaporation sources were found to contribute most to the ambient VOCs, followed by the petrochemical emission of highly reactive ethene and propylene. Solvent / paint industry and fuel evaporation and emission from refineries were next in importance while the on-road vehicle exhaust generally contributed less than 10% of the total ambient VOCs. Specific geographic areas associated with each source category were identified through the use of a Conditional Probability Function (CPF) analysis that related elevated concentrations of key VOCs in each category to a network of grids superimposed on the source inventories of the VOCs.

Xie, YuLong; Berkowitz, Carl M.

2006-06-01T23:59:59.000Z

55

Estimating carbon dioxide emissions factors for the California electric power sector  

E-Print Network (OSTI)

hydro and nuclear in the baseload, but predominantly gas onall hours, is called the baseload. Ja 15 n -J a 29 n -J a 12generating assets serving the baseload demand than serving

Marnay, Chris; Fisher, Diane; Murtishaw, Scott; Phadke, Amol; Price, Lynn; Sathaye, Jayant

2002-01-01T23:59:59.000Z

56

Teach Yourself in 24 Hours  

E-Print Network (OSTI)

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

Eckmiller, Rolf

57

NERSC Carver Hours Used Report  

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

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

58

Estimating carbon dioxide emissions factors for the California electric power sector  

E-Print Network (OSTI)

Energy Data Report; emissions from imports calculated using U.S.source of energy in the Southwest U.S. Thus, imports from

Marnay, Chris; Fisher, Diane; Murtishaw, Scott; Phadke, Amol; Price, Lynn; Sathaye, Jayant

2002-01-01T23:59:59.000Z

59

Pollutant Emission Factors from Residential Natural Gas Appliances: A Literature Review  

E-Print Network (OSTI)

ng/J) distributions from residential natural gas appliances.ng/J) distribution from residential natural gas appliances.Pollutant Emissions from Residential Heating Systems, EPA-

Traynor, G.W.

2011-01-01T23:59:59.000Z

60

A Prescribed Fire Emission Factors Database for Land Management and Air Quality Applications  

Science Conference Proceedings (OSTI)

The Clean Air Act, its amendments, and air quality regulations require that prescribed fire managers estimate the quantity of emissions that a prescribed fire will produce. Information on emissions is available for these calculations; however, it is often incomplete or difficult to find. Tables and computer models can also provide some of this information, but the quality and applicability of the data to a specific site are unknown. In conjunction with three research projects developing new emissions data and meteorological tools to assist prescribed fire managers, the Resource Conservation and Climate Change Program Area of the Department of Defense's Strategic Environmental Research and Development Program is supporting development of a database that contains emissions information related to prescribed burning. Ultimately the vetted database will be available on the Internet and will contain emissions information that has been developed from laboratory and field-scale measurements and has been published.

Lincoln, Emily; Hao, WeiMin; Baker, S.; Yokelson, Robert J.; Burling, Ian R.; Urbanski, Shawn; Miller, J. Wayne; Weise, David; Johnson, Timothy J.

2010-12-20T23:59:59.000Z

Note: This page contains sample records for the topic "hourly emission factors" 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

hourly data | OpenEI  

Open Energy Info (EERE)

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

62

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

E-Print Network (OSTI)

2002). Estimating Carbon Dioxide Emissions Factors for thefactors for California of 9.2 megajoules per kilowatt-hour (MJ/kWh) and 0.4 kilograms of carbon dioxide

Horvath, A; Masanet, Eric

2007-01-01T23:59:59.000Z

63

Predicting hourly building energy usage  

SciTech Connect

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

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

1994-06-01T23:59:59.000Z

64

Estimation of Daily Degree-hours  

Science Conference Proceedings (OSTI)

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

Nathaniel B. Guttman; Richard L. Lehman

1992-07-01T23:59:59.000Z

65

DEVELOPMENT OF FINE PARTICULATE EMISSION FACTORS AND SPECIATION PROFILES FOR OIL AND GAS FIRED COMBUSTION SYSTEMS  

SciTech Connect

This report provides results from the second year of this three-year project to develop dilution measurement technology for characterizing PM2.5 (particles with aerodynamic diameter smaller than 2.5 micrometers) and precursor emissions from stationary combustion sources used in oil, gas and power generation operation. Detailed emission rate and chemical speciation tests results for a gas turbine, a process heater, and a commercial oil/gas fired boiler are presented. Tests were performed using a research dilution sampling apparatus and traditional EPA methods. A series of pilot tests were conducted to identify the constraints to reduce the size of current research dilution sampler for future stack emission tests. Based on the test results, a bench prototype compact dilution sampler developed and characterized in GE EER in August 2002.

Glenn England; Oliver Chang; Stephanie Wien

2002-02-14T23:59:59.000Z

66

Definition: Kilowatt-hour | Open Energy Information  

Open Energy Info (EERE)

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

67

Incomplete Environmental Regulation, Imperfect Competition, and Emissions Leakage  

E-Print Network (OSTI)

each hour, equilibrium emissions and electricity prices areCalifornia Greenhouse Gas Emission and Sinks: 1990 to 2004 (estimates that CO 2 emissions from instate generationin 2004

Fowlie, Meredith

2007-01-01T23:59:59.000Z

68

Transportation Energy Futures Series: Effects of the Built Environment on Transportation: Energy Use, Greenhouse Gas Emissions, and Other Factors  

DOE Green Energy (OSTI)

Planning initiatives in many regions and communities aim to reduce transportation energy use, decrease emissions, and achieve related environmental benefits by changing land use. This report reviews and summarizes findings from existing literature on the relationship between the built environment and transportation energy use and greenhouse gas emissions, identifying results trends as well as potential future actions. The indirect influence of federal transportation and housing policies, as well as the direct impact of municipal regulation on land use are examined for their effect on transportation patterns and energy use. Special attention is given to the 'four D' factors of density, diversity, design and accessibility. The report concludes that policy-driven changes to the built environment could reduce transportation energy and GHG emissions from less than 1% to as much as 10% by 2050, the equivalent of 16%-18% of present-day urban light-duty-vehicle travel. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency project initiated to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.

Porter, C. D.; Brown, A.; Dunphy, R. T.; Vimmerstedt, L.

2013-03-01T23:59:59.000Z

69

Compilation of air pollutant emission factors. Volume 1. Stationary point and area sources. Supplement E  

Science Conference Proceedings (OSTI)

In the Supplement to the Fourth Edition of AP-42 Volume I, new or revised emissions data are presented for Anthracite Coal Combustion; Natural Gas Combustion; Liquified Petroleum Gas Combustion; Wood Waste Combustion In Boilers; Bagasse Combustion In Sugar Mills; Residential Fireplaces; Residential Wood Stoves; Waste Oil Combustion; Automobile Body Incineration; Conical Burners; Open Burning; Stationary Gas Turbines for Electricity Generation; Heavy Duty Natural Gas Fired Pipeline Compressor Engines; Gasoline and Diesel Industrial Engines; Large Stationary Diesel and All Stationary Dual Fuel Engines; Soap and Detergents; and Storage of Organic Liquids.

Not Available

1992-10-01T23:59:59.000Z

70

Energy conservation: The main factor for reducing greenhouse gas emissions in the former Soviet Union  

SciTech Connect

The energy intensity of the former Soviet Union is more than twice that of other market economics in similar stages of economic development. Low energy efficiency in the Soviet Union has contributed significantly to global carbon and other greenhouse gas emissions. The technological potential for energy conservation in the former Soviet Union is the largest in the world. The inefficiencies of the previously command-system economy, however, have provided little incentive for conserving energy. The present transition to a market-based economy should encourage the incorporation of energy-efficiency improvements in order for the former Soviet Union to successfully lower its energy intensity. There are several obstacles that limit implementing energy conservation: for example, energy prices and discount rates influence the volume of investment in energy efficiency. Nevertheless, cost-effective measures for energy conservative do exist even in the most energy-intensive sectors of the Soviet economy and should form the core of any energy conservation program. The overall cost-effective potential for carbon savings in the former Soviet Union is estimated to be 280 to 367 million tons of carbon per year by the year 2005, or 23 to 29 percent of 1988 energy-related emissions.

Bashmakov, I.A.; Chupyatov, V.P.

1991-12-01T23:59:59.000Z

71

DEVELOPMENT OF FINE PARTICULATE EMISSION FACTORS AND SPECIATION PROFILES FOR OIL AND GAS-FIRED COMBUSTION SYSTEMS  

SciTech Connect

In 1997, the United States Environmental Protection Agency (EPA) promulgated new National Ambient Air Quality Standards (NAAQS) for particulate matter, including for the first time particles with aerodynamic diameter smaller than 2.5 micrometers ({micro}m) referred to as PM2.5. PM2.5 in the atmosphere also contributes to reduced atmospheric visibility, which is the subject of existing rules for siting emission sources near Class 1 areas and new Regional Haze rules. There are few existing data regarding emissions and characteristics of fine aerosols from oil, gas and power generation industry combustion sources, and the information that is available is generally outdated and incomplete. Traditional stationary source air emission sampling methods tend to underestimate or overestimate the contribution of the source to ambient aerosols because they do not properly account for primary aerosol formation, which occurs after the gases leave the stack. Primary aerosol includes both filterable particles that are solid or liquid aerosols at stack temperature plus those that form as the stack gases cool through mixing and dilution processes in the plume downwind of the source. These deficiencies in the current methods can have significant impacts on regulatory decision-making. PM2.5 measurement issues were extensively reviewed by the American Petroleum Institute (API) (England et al., 1998), and it was concluded that dilution sampling techniques are more appropriate for obtaining a representative particulate matter sample from combustion systems for determining PM2.5 emission rate and chemical speciation. Dilution sampling is intended to collect aerosols including those that condense and/or react to form solid or liquid aerosols as the exhaust plume mixes and cools to near-ambient temperature immediately after the stack discharge. These techniques have been widely used in recent research studies. For example, Hildemann et al. (1994) and McDonald et al. (1998) used filtered ambient air to dilute the stack gas sample followed by 80-90 seconds residence time to allow aerosol formation and growth to stabilize prior to sample collection and analysis. More accurate and complete emissions data generated using the methods developed in this program will enable more accurate source-receptor and source apportionment analysis for PM2.5 National Ambient Air Quality Standards (NAAQS) implementation and streamline the environmental assessment of oil, gas and power production facilities. The overall goals of this program were to: (1) Develop improved dilution sampling technology and test methods for PM2.5 mass emissions and speciation measurements, and compare results obtained with dilution and traditional stationary source sampling methods. (2) Develop emission factors and speciation profiles for emissions of fine particulate matter, especially organic aerosols, for use in source-receptor and source apportionment analyses. (3) Identify and characterize PM2.5 precursor compound emissions that can be used in source-receptor and source apportionment analyses.

Glenn C. England

2004-10-20T23:59:59.000Z

72

The Autocorrelation of Hourly Wind Speed Observations  

Science Conference Proceedings (OSTI)

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

Arthur C. Brett; Stanton E. Tuller

1991-06-01T23:59:59.000Z

73

Virtualizing office hours in CS 50  

Science Conference Proceedings (OSTI)

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

David J. Malan

2009-07-01T23:59:59.000Z

74

An integrated analytical framework for quantifying the LCOE of waste-to-energy facilities for a range of greenhouse gas emissions policy and technical factors  

SciTech Connect

This study presents a novel integrated method for considering the economics of waste-to-energy (WTE) facilities with priced greenhouse gas (GHG) emissions based upon technical and economic characteristics of the WTE facility, MSW stream, landfill alternative, and GHG emissions policy. The study demonstrates use of the formulation for six different policy scenarios and explores sensitivity of the results to ranges of certain technical parameters as found in existing literature. The study shows that details of the GHG emissions regulations have large impact on the levelized cost of energy (LCOE) of WTE and that GHG regulations can either increase or decrease the LCOE of WTE depending on policy choices regarding biogenic fractions from combusted waste and emissions from landfills. Important policy considerations are the fraction of the carbon emissions that are priced (i.e. all emissions versus only non-biogenic emissions), whether emissions credits are allowed due to reducing fugitive landfill gas emissions, whether biogenic carbon sequestration in landfills is credited against landfill emissions, and the effectiveness of the landfill gas recovery system where waste would otherwise have been buried. The default landfill gas recovery system effectiveness assumed by much of the industry yields GHG offsets that are very close to the direct non-biogenic GHG emissions from a WTE facility, meaning that small changes in the recovery effectiveness cause relatively larger changes in the emissions factor of the WTE facility. Finally, the economics of WTE are dependent on the MSW stream composition, with paper and wood being advantageous, metal and glass being disadvantageous, and plastics, food, and yard waste being either advantageous or disadvantageous depending upon the avoided tipping fee and the GHG emissions price.

Townsend, Aaron K., E-mail: aarontownsend@utexas.edu [Department of Mechanical Engineering, University of Texas at Austin, 1 University Station C2200, Austin, TX 78712 (United States); Webber, Michael E. [Department of Mechanical Engineering, University of Texas at Austin, 1 University Station C2200, Austin, TX 78712 (United States)

2012-07-15T23:59:59.000Z

75

Greenhouse Gas Emissions Inventory  

E-Print Network (OSTI)

are calculated using the eGRID post 2006 emission factor for all subject years (1990-2009); the CA-CP Calculator uses a different (lower) factor (eGRID pre 2006) for years 1990-2006. WUSTL deviated from the CA-CP Calculator on this emission factor because using the pre and post eGRID factors skews GHG emissions

Dobbins, Ian G.

76

Bradbury Science Museum announces winter opening hours  

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

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

77

Avoided emissions from high penetration of photovoltaic electricity in the  

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

emissions from high penetration of photovoltaic electricity in the emissions from high penetration of photovoltaic electricity in the United States Title Avoided emissions from high penetration of photovoltaic electricity in the United States Publication Type Journal Article Year of Publication 2012 Authors Zhai, Pei, Peter H. Larsen, Dev Millstein, Surabi Menon, and Eric R. Masanet Journal Energy Volume 47 Start Page 443 Date Published 2012 Abstract This study evaluates avoided emissions potential of CO2, SO2 and NOx assuming a 10% penetration level of photovoltaics (PV) in ten selected U.S. states. We estimate avoided emissions using an hourly energy system simulation model, EnergyPLAN. Avoided emissions vary significantly across the country-mainly due to three state-specific factors: the existing resource mix of power plants (power grid fuel mix), the emission intensity of existing fossil fuel power plants and the PV capacity factor within each state. The avoided emissions per solar PV capacity (g/W) - for ten U.S. states -ranged from 670 to 1500 for CO2, 0.01e7.80 for SO2 and 0.25e2.40 for NOx. In general, avoided emissions are likely to be higher in locations with 1) higher share of coal plants; 2) higher emission of existing fossil fuel plants; and 3) higher PV capacity factor. To further illustrate the quantitative relationship between avoided emissions and the three state-specific factors, we conducted a sensitivity analysis. Finally, we estimated the change in avoided emissions in a coal-intensive state by varying the operational constraints of fossil-fuel power plants. At the 10% penetration level avoided emissions were not constrained by the ramp rate limitations, but the minimum capacity requirement significantly affected the avoided emission estimates.

78

Emissions & Emission Controls - FEERC  

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

Emissions and Emission Controls In conjunction with the research efforts at FEERC to improve fuel efficiency and reduce petroleum use, research on emissions is conducted with two...

79

hourly solar radiation | OpenEI  

Open Energy Info (EERE)

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

80

Life of a Six-Hour Hurricane  

Science Conference Proceedings (OSTI)

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

Kay L. Shelton; John Molinari

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly emission factors" 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

NERSC Edison Phase I Hours Used Report  

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

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

82

Evaluation of metrics and baselines for tracking greenhouse gas emissions trends: Recommendations for the California climate action registry  

E-Print Network (OSTI)

2002. Estimating Carbon Dioxide Emissions Factors for thein Estimating Carbon Dioxide Emissions Factors for the

Price, Lynn; Murtishaw, Scott; Worrell, Ernst

2003-01-01T23:59:59.000Z

83

The Greenness of Cities: Carbon Dioxide Emissions and Urban Development  

E-Print Network (OSTI)

carbon dioxide emissions index, we use conversion factors.into carbon dioxide emissions, we continue to use a factorappropriate factors to arrive at carbon dioxide emissions.

Glaeser, Edward L.; Kahn, Matthew E.

2008-01-01T23:59:59.000Z

84

Derivation of 24-Hour Average SO2, Background for the Update 1 Report |  

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

Derivation of 24-Hour Average SO2, Background for the Update 1 Derivation of 24-Hour Average SO2, Background for the Update 1 Report Derivation of 24-Hour Average SO2, Background for the Update 1 Report Docket No. EO-05-01. As supporting documentation for "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Unit 1 Emissions in a Cycling Mode" this memo documents the fact that the observed 24-hour SO2 background concentrations during periods when meteorological conditions produce the highest impacts from Unit 1. Derivation of 24-Hour Average SO2, Background for the Update 1 Report More Documents & Publications Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant"

85

Meteorological Patterns Associated with Maximum 3-Hour Average Concentrations Predicted by the CRSTER Model for a Tall Stack Source  

Science Conference Proceedings (OSTI)

Regional meteorological patterns associated with maximum 3-hour average concentrations predicted by the U.S. EPA CRSTER model for emissions from a tall stack were examined for a limited sample. Causes of predicted peaks were the movements of weak ...

Paul N. Derezotes

1984-11-01T23:59:59.000Z

86

Modeling of Particulate Matter Emissions from Agricultural Operations  

E-Print Network (OSTI)

State Air Pollution Regulation Agencies (SAPRAs) issue and enforce permits that limit particulate matter emissions from all sources including layer and broiler facilities, cattle feedyards, dairies, cotton gins, and grain elevators. In this research, a process was developed to determine distances from emitting sources to where the estimated concentrations were less than the National Ambient Air Quality Standards (NAAQS). These distances are a function of emission rates and meteorological conditions. Different protocols were used to develop emission factors for cattle feedyards and layer houses. Dispersion modeling with American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) was conducted to determine the emissions of particulate matter. These data were used to determine the distances from the sources to where the concentrations of particulate matter (PM) would be less than the NAAQS. The current air-permitting process requires that concentrations from a source do not exceed the NAAQS at the property line and beyond for the facility to be in compliance with its permit conditions. Emission factors for particulate matter less than 10 micrometers (PM10) were developed for cattle feedyards using a reverse modeling protocol and Tapered Element Oscillating Microbalance (TEOM) sampler data. Corrections were applied to the TEOM measurements to account for TEOM vs. filter-based low-volume (FBLV) sampler bias and over-sampling of PM10 pre-collectors. Invalid concentrations and dust peaks larger than mean 3 times the standard deviation were excluded from this study. AERMOD predictions of downwind concentrations at cotton gins were observed for compliance with 24-hour PM10 and PM2.5 NAAQS at property lines. The emissions from three cotton gins were analyzed at 50 m and 100 m distances. TEOM and FBLV samplers were used to collect 24-hour PM10 measurements inside a laying hen house. The distances to the property lines at which the emissions of PM10 were below the 24-hour average PM10 standards were estimated using AERMOD. The results suggested that the special use of the NAAQS for as the property-line concentration not to be exceeded, could be problematic to agriculture. Emission factors that were comparable of published emission factors were obtained in this study. Large distances to property lines were required when minimum flow rate recommendations were not considered. Emission factors that are representative of the emissions in a particular facility are essential; else facilities could be inappropriately regulated.

Bairy, Jnana 1988-

2013-05-01T23:59:59.000Z

87

Building Energy Software Tools Directory: EMISS  

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

Three types of emission factors are currently included: carbon dioxide, sulfur dioxide, nitrous oxide. Emissions factors are specified separately for six different end-use...

88

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

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

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

89

DEVELOPMENT OF FINE PARTICULATE EMISSION FACTORS AND SPECIATION PROFILES FOR OIL AND GAS-FIRED COMBUSTION SYSTEMS  

SciTech Connect

This report provides results from the first year of this three-year project to develop dilution measurement technology for characterizing PM2.5 (particles with aerodynamic diameter smaller than 2.5 micrometers) and precursor emissions from stationary combustion sources used in oil, gas and power generation operations. Detailed emission rate and chemical speciation test results for a refinery gas-fired process heater and plans for cogeneration gas turbine tests and pilot-scale tests are presented. Tests were performed using a research dilution sampling apparatus and traditional EPA methods to compare PM2.5 mass and chemical speciation. Test plans are presented for a gas turbine facility that will be tested in the fourth quarter of 2002. A preliminary approach for pilot-scale tests is presented that will help define design constraints for a new dilution sampler design that is smaller, lighter, and less costly to use.

Glenn C. England; Stephanie Wien; Mingchih O. Chang

2002-08-01T23:59:59.000Z

90

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

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

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

91

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

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

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

92

The Greenness of Cities: Carbon Dioxide Emissions and Urban Development  

E-Print Network (OSTI)

carbon dioxide emissions index, we use conversion factors.conversion factor of pounds of carbon dioxide emitted perappropriate factors to arrive at carbon dioxide emissions.

Glaeser, Edward L.; Kahn, Matthew E.

2008-01-01T23:59:59.000Z

93

Fuel Mix and Emissions Disclosure  

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

Iowa adopted regulations in 2003 that generally require rate-regulated electric utilities to disclose to customers the fuel mix and estimated emissions, in pounds per megawatt-hour (MWh), of...

94

Compilation of air-pollutant emission factors. Volume 1. Stationary point and area sources, Fourth Edition. Supplement B  

Science Conference Proceedings (OSTI)

In the supplement to the Fourth Edition of AP-42, new or revised emissions data are presented for Bituminous And Subbituminous Coal Combustion; Anthracite Coal Combustion; Residential Wood Stoves; Waste Oil Combustion; Refuse Combustion; Sewage Sludge Incineration; Surface Coating; Polyester Resin Plastics Product Fabrication; Soap and Detergents; Grain Elevators and Processing Plants; Lime Manufacturing; Crushed Stone Processing; Western Surface Coal Mining; Wildfires and Prescribed Burning; Unpaved Roads; Aggregate Handling And Storage Piles; Industrial Paved Roads; Industrial Wind Erosion; and Appendix C.3, Silt Analysis Procedures.

Not Available

1988-09-01T23:59:59.000Z

95

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

E STIMATES OF EMISSIONS FACTORS FOR ALCOHOL FUEL PRODUCTIONOF EMISSIONS FACTORS FOR ALCOHOL FUEL PRODUCTION PLANTS A.

Delucchi, Mark

2003-01-01T23:59:59.000Z

96

EIA - Greenhouse Gas Emissions - Carbon Dioxide Emissions  

Gasoline and Diesel Fuel Update (EIA)

2. Carbon Dioxide Emissions 2. Carbon Dioxide Emissions 2.1. Total carbon dioxide emissions Annual U.S. carbon dioxide emissions fell by 419 million metric tons in 2009 (7.1 percent), to 5,447 million metric tons (Figure 9 and Table 6). The annual decrease-the largest over the 19-year period beginning with the 1990 baseline-puts 2009 emissions 608 million metric tons below the 2005 level, which is the Obama Administration's benchmark year for its goal of reducing U.S. emissions by 17 percent by 2020. The key factors contributing to the decrease in carbon dioxide emissions in 2009 included an economy in recession with a decrease in gross domestic product of 2.6 percent, a decrease in the energy intensity of the economy of 2.2 percent, and a decrease in the carbon intensity of energy supply of

97

BNL | Center for Functional Nanomaterials Hours of Operation  

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

CFN Hours of Operation CFN Hours of Operation Normal working hours at the CFN are 8 a.m. to 6 p.m. Working Outside of Normal Hours CFN scientific and technical personnel, as well as external users, may need to work outside of normal operating hours, during which time support is limited and many colleagues may not be around. Therefore, working outside the 8 a.m. to 6 p.m. envelope on weekdays, or anytime on weekends and holidays, requires special precautions, especially if working in a laboratory. CFN users are expected to work at the CFN during normal working hours. Users with extensive experience working at the CFN may be granted permission by the appropriate facility leader and ES&H Coordinator to work after hours. Users first must complete the Request to Work After-Hours at

98

Results of the 1000 Hour Rotary Microfilter Endurance Test  

Stellite on Nitronic 60. 8 SRNL-L3100-2010-00229 Rotary Microfilter 1000 Hour Test Flux Data for 1000 Hour Test 0 1 2 3 4 5 6 0 100 200 300 400 500 ...

99

Analytical Framework to Evaluate Emission Control Systems for Marine Engines  

E-Print Network (OSTI)

Carbon dioxide Table 2-4 Overall Weighted Average Emission FactorsCarbon dioxide .. 18 Figure 2-4 PM 2.5 Mass Emission Factors

Jayaram, Varalakshmi

2010-01-01T23:59:59.000Z

100

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

E-Print Network (OSTI)

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

Tennessee, University of

Note: This page contains sample records for the topic "hourly emission factors" 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

Hospital Triage in First Hours After Nuclear or Radiological...  

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

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Medical professionals with the Radiation Emergency Assistance CenterTraining Site (REACTS) at the...

102

Delayed Start or Cancellation of Business Hours | Argonne National...  

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

Twitter Delayed Start or Cancellation of Business Hours Winter Road Closings Winter Weather FAQs Westgate Alternate Routes Reporting IllegalUnethical Activity Working Remotely...

103

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

U.S. Energy Information Administration (EIA)

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

104

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

Science Conference Proceedings (OSTI)

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

Krich, A.; Milligan, M.

2005-05-01T23:59:59.000Z

105

The California Climate Action Registry: Development of methodologies for calculating greenhouse gas emissions from electricity generation  

E-Print Network (OSTI)

draft). Estimating Carbon Dioxide Emission Factors for theemissions factors for calculating the combined net carbon dioxide

2002-01-01T23:59:59.000Z

106

Report of 1,000 Hour Catalyst Longevity Evaluation  

DOE Green Energy (OSTI)

This report presents the results of a 1,000 hour, high-pressure, catalyst longevity test for the decomposition of concentrated sulfuric acid. The reaction is used for both the sulfur-iodine (S-I) cycle and hybrid sulfur cycle. By the time of the delivery date of April 17, 2009, for project milestone no. 2NIN07TC050114, the 1% Pt/TiO2 catalyst had been in the reaction environment for 658 hours. During the first 480 hours of testing, the catalyst activity provided stable, near-equilibrium yields of 46.8% SO2 and 22.8% O2. However, product yields declined at sample exposure times >480 hours. At 658 hours of operation, catalyst activity (based on oxygen yield) declined to 57% relative to the stable period of catalyst activity. Thus, as of April 17, this catalyst did not provide the desired stability level of <10% degradation per 1,000 hours. The experiment was terminated on April 27, after 792 hours, when a fitting failed and the catalyst was displaced from the reactor such that the sample could not be recovered. Oxygen conversion at the end of the experiment was 12.5% and declining, suggesting that at that point, catalyst activity had decreased to 54% of the initial level.

Daniel M. Ginosar

2009-06-01T23:59:59.000Z

107

Development of an Hourly Optimization Tool for Renewable Energy Systems  

SciTech Connect

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

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

2010-01-01T23:59:59.000Z

108

A Quality Assurance System for Canadian Hourly Pressure Data  

Science Conference Proceedings (OSTI)

In this study a comprehensive quality assurance (QA) system, which includes the hydrostatic check combined with a statistical homogeneity test, is designed and applied to hourly pressure records (for 19532002) from 761 Canadian stations, to ...

Hui Wan; Xiaolan L. Wang; Val R. Swail

2007-11-01T23:59:59.000Z

109

Complex Quality Assurance of Historical Hourly Surface Airways Meteorological Data  

Science Conference Proceedings (OSTI)

A new complex quality assurance (QA) procedure is developed for historical hourly surface airways meteorological data, recently digitized in a U.S. governmentsponsored effort that extends the digital period of record back as early as the late ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-08-01T23:59:59.000Z

110

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

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

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

111

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

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

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

112

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

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

Over a Billion Supercomputing Hours to Address Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life sciences, and materials science.

113

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

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

DOE Awards Over a Billion Supercomputing Hours to Address DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life

114

Global Solar Radiation Estimation from Relative Sunshine Hours in Italy  

Science Conference Proceedings (OSTI)

We examine the existing measurements of global solar radiation and sunshine duration for Italy, and evaluate the errors made in estimating global solar radiation from sunshine hours measurements. We find that the ngstromBlack linear relation in ...

A. Andretta; B. Bartoli; B. Coluzzi; V. Cuomo; M. Francesca; C. Serio

1982-10-01T23:59:59.000Z

115

Airport quotas and peak hour pricing : theory and practice  

E-Print Network (OSTI)

This report examines the leading theoretical studies not only of airport peak-hour pricing but also of the congestion costs associated with airport delays and presents a consistent formulation of both. The report also ...

Odoni, Amedeo R.

1976-01-01T23:59:59.000Z

116

An Hourly AssimilationForecast Cycle: The RUC  

Science Conference Proceedings (OSTI)

The Rapid Update Cycle (RUC), an operational regional analysisforecast system among the suite of models at the National Centers for Environmental Prediction (NCEP), is distinctive in two primary aspects: its hourly assimilation cycle and its use ...

Stanley G. Benjamin; Dezs Dvnyi; Stephen S. Weygandt; Kevin J. Brundage; John M. Brown; Georg A. Grell; Dongsoo Kim; Barry E. Schwartz; Tatiana G. Smirnova; Tracy Lorraine Smith; Geoffrey S. Manikin

2004-02-01T23:59:59.000Z

117

Application of positive matrix factorization to on-road measurements for source apportionment of diesel- and gasoline-powered vehicle emissions in Mexico City  

E-Print Network (OSTI)

The goal of this research is to quantify diesel- and gasoline-powered motor vehicle emissions within the Mexico City Metropolitan Area (MCMA) using on-road measurements captured by a mobile laboratory combined with positive ...

Thornhill, D. A.

118

Improving the Carbon Dioxide Emission Estimates from the Combustion of Fossil Fuels in California  

E-Print Network (OSTI)

Fuel use, CO 2 emissions, and CO 2 emission factors of ten largest California electricity generatingFuel use, CO 2 emissions, and CO 2 emission factors of ten largest California electricity generating

de la Rue du Can, Stephane

2010-01-01T23:59:59.000Z

119

EIA - Greenhouse Gas Emissions Overview  

Gasoline and Diesel Fuel Update (EIA)

Greenhouse Gas Tables (1990-2009) Greenhouse Gas Tables (1990-2009) Table Title Formats Overview 1 U.S. emissions of greenhouse gases, based on global warming potential 2 U.S. greenhouse gas intensity and related factors 3 Distribution of total U.S. greenhouse gas emissions by end-use sector 4 World energy-related carbon dioxide emissions by region 5 Greenhouse gases and 100-year net global warming potentials Carbon dioxide emissions 6 U.S. carbon dioxide emissions from energy and industry 7 U.S. energy-related carbon dioxide emissions by end-use sector 8 U.S. carbon dioxide emission from residential sector energy consumption 9 U.S. carbon dioxide emissions from commercial sector energy consumption 10 U.S. carbon dioxide emissions from industrial sector energy consumption

120

Form EIA-930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT  

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

930 930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT INSTRUCTIONS Due Date: mm/dd/yyyy Approved: OMB No. 1905-0129 Approval Expires: 10/31/2016 Burden: 0.19 hours Page 1 Draft for Discussion only PURPOSE Form EIA-930 requires Internet posting of hourly balancing authority operating data. The posted data are used to monitor the current status and trends of the electric power industry, and to support enhancement of electric system operations. REQUIRED RESPONDENTS For the contiguous United States: all entities that are listed in NERC's Compliance Registry as a balancing authority must post balancing authority operating information required by this survey. Other than the Midwest ISO (MISO), registered balancing authorities that are parties

Note: This page contains sample records for the topic "hourly emission factors" 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

INCITE Program Doles Out Hours on Supercomputers | Department of Energy  

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

INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers November 5, 2012 - 1:30pm Addthis Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science

122

US vehicle emissions: Creating a common currency to avoid model comparison problems  

E-Print Network (OSTI)

III Computer programme to calculate emissions from roadtransport: methodology and emission factors (version 2.1).to compare air pollution emission estimates produced by di?

Kear, Tom P.; Eisinger, Douglas; Niemeier, Debbie A.; Brady, Mike

2008-01-01T23:59:59.000Z

123

Development of methodologies for calculating greenhouse gas emissions from electricity generation for the California climate action registry  

E-Print Network (OSTI)

draft). Estimating Carbon Dioxide Emission Factors for theemissions factors for calculating the combined net carbon dioxide

2002-01-01T23:59:59.000Z

124

EIA-Voluntary Reporting of Greenhouse Gases Program - Emission...  

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

for 1990 through 2001 and Reporting Year reports for 1991 through 2002. Use Emission Inventory factors to estimate indirect emissions from the consumption of purchased...

125

Renewable Energies program (6 credit hour) Option A: 11  

E-Print Network (OSTI)

Renewable Energies program (6 credit hour) Option A: 11 Option B: The program is organized by t Spanish Institute and the Asso program on renewable energy will provide students with advanced knowledge. opportunities: option A- two renewable energies; option B include on-site visits to renewable energy generation

Simaan, Nabil

126

A Quality-Control Routine for Hourly Wind Observations  

Science Conference Proceedings (OSTI)

The quality of hourly wind speed and direction observations from 41 northeastern U.S. first-order weather stations is evaluated with regard to the recognition of individual observations that are either obviously in error or of suspect quality. An ...

Arthur T. DeGaetano

1997-04-01T23:59:59.000Z

127

Storing hydroelectricity to meet peak-hour demand  

Science Conference Proceedings (OSTI)

This paper reports on pumped storage plants which have become an effective way for some utility companies that derive power from hydroelectric facilities to economically store baseload energy during off-peak hours for use during peak hourly demands. According to the Electric Power Research Institute (EPRI) in Palo Alto, Calif., 36 of these plants provide approximately 20 gigawatts, or about 3 percent of U.S. generating capacity. During peak-demand periods, utilities are often stretched beyond their capacity to provide power and must therefore purchase it from neighboring utilities. Building new baseload power plants, typically nuclear or coal-fired facilities that run 24 hours per day seven days a week, is expensive, about $1500 per kilowatt, according to Robert Schainker, program manager for energy storage at the EPRI. Schainker the that building peaking plants at $400 per kilowatt, which run a few hours a day on gas or oil fuel, is less costly than building baseload plants. Operating them, however, is more expensive because peaking plants are less efficient that baseload plants.

Valenti, M.

1992-04-01T23:59:59.000Z

128

Comparison of Aermod and ISCST3 Models for Particulate Emissions from Ground Level Sources  

E-Print Network (OSTI)

Emission factors (EFs) and results from dispersion models are key components in the air pollution regulatory process. The EPA preferred regulatory model changed from ISCST3 to AERMOD in November, 2007. Emission factors are used in conjunction with dispersion models to predict 24-hour concentrations that are compared to National Ambient Air Quality Standards (NAAQS) for determining the required control systems in permitting sources. This change in regulatory models has had an impact on the regulatory process and the industries regulated. In this study, EFs were developed for regulated particulate matter PM10 and PM2.5 from cotton harvesting. Measured concentrations of TSP and PM10 along with meteorological data were used in conjunction with the dispersion models ISCST3 and AERMOD, to determine the emission fluxes from cotton harvesting. The goal of this research was to document differences in emission factors as a consequence of the models used. The PM10 EFs developed for two-row and six-row pickers were 154 + 43 kg/km2 and 425 + 178 kg/km2, respectively. From the comparison between AERMOD and ISCST3, it was observed that AERMOD EFs were 1.8 times higher than ISCST3 EFs for Emission factors (EFs) and results from dispersion models are key components in the air pollution regulatory process. The EPA preferred regulatory model changed from ISCST3 to AERMOD in November, 2007. Emission factors are used in conjunction with dispersion models to predict 24-hour concentrations that are compared to National Ambient Air Quality Standards (NAAQS) for determining the required control systems in permitting sources. This change in regulatory models has had an impact on the regulatory process and the industries regulated. In this study, EFs were developed for regulated particulate matter PM10 and PM2.5 from cotton harvesting. Measured concentrations of TSP and PM10 along with meteorological data were used in conjunction with the dispersion models ISCST3 and AERMOD, to determine the emission fluxes from cotton harvesting. The goal of this research was to document differences in emission factors as a consequence of the models used. The PM10 EFs developed for two-row and six-row pickers were 154 + 43 kg/km2 and 425 + 178 kg/km2, respectively. From the comparison between AERMOD and ISCST3, it was observed that AERMOD EFs were 1.8 times higher than ISCST3 EFs for absence of solar radiation. Using AERMOD predictions of pollutant concentrations off property for regulatory purposes will likely affect a source?s ability to comply with limits set forth by State Air Pollution Regulatory Agencies (SAPRAs) and could lead to inappropriate regulation of the source.

Botlaguduru, Venkata Sai V.

2009-12-01T23:59:59.000Z

129

Emissions of Greenhouse Gases in the United States, 2004  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

2005-12-19T23:59:59.000Z

130

Emissions of Greenhouse Gases in the United States, 2002  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

2003-10-01T23:59:59.000Z

131

Emissions of Greenhouse Gases in the United States, 2005  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

2006-11-14T23:59:59.000Z

132

Emissions of Greenhouse Gases in the United States, 1996  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

1997-10-01T23:59:59.000Z

133

Emissions of Greenhouse Gases in the United States, 1995  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

1996-10-01T23:59:59.000Z

134

Emissions of Greenhouse Gases in the United States, 1994  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

1995-09-01T23:59:59.000Z

135

Emissions of Greenhouse Gases in the United States, 1999  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

2000-10-01T23:59:59.000Z

136

Emissions of Greenhouse Gases in the United States, 2000  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

2001-11-01T23:59:59.000Z

137

Emissions of Greenhouse Gases in the United States, 1997  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

1998-10-01T23:59:59.000Z

138

Emissions of Greenhouse Gases in the United States, 1998  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

1999-10-01T23:59:59.000Z

139

Emissions of Greenhouse Gases in the United States, 2001  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

2002-12-01T23:59:59.000Z

140

Emissions of Greenhouse Gases in the United States, 2003  

Reports and Publications (EIA)

This report presents the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

2004-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly emission factors" 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

Low Emissions Aftertreatment and Diesel Emissions Reduction  

Science Conference Proceedings (OSTI)

Detroit Diesel Corporation (DDC) has successfully completed a five-year Low Emissions Aftertreatment and Diesel Emissions Reduction (LEADER) program under a DOE project entitled: ''Research and Development for Compression-Ignition Direct-Injection Engines (CIDI) and Aftertreatment Sub-Systems''. The objectives of the LEADER Program were to: Demonstrate technologies that will achieve future federal Tier 2 emissions targets; and Demonstrate production-viable technical targets for engine out emissions, efficiency, power density, noise, durability, production cost, aftertreatment volume and weight. These objectives were successfully met during the course of the LEADER program The most noteworthy achievements in this program are listed below: (1) Demonstrated Tier 2 Bin 3 emissions target over the FTP75 cycle on a PNGV-mule Neon passenger car, utilizing a CSF + SCR system These aggressive emissions were obtained with no ammonia (NH{sub 3}) slip and a combined fuel economy of 63 miles per gallon, integrating FTP75 and highway fuel economy transient cycle test results. Demonstrated feasibility to achieve Tier 2 Bin 8 emissions levels without active NOx aftertreatment. (2) Demonstrated Tier 2 Bin 3 emissions target over the FTP75 cycle on a light-duty truck utilizing a CSF + SCR system, synergizing efforts with the DOE-DDC DELTA program. This aggressive reduction in tailpipe out emissions was achieved with no ammonia slip and a 41% fuel economy improvement, compared to the equivalent gasoline engine-equipped vehicle. (3) Demonstrated Tier 2 near-Bin 9 emissions compliance on a light-duty truck, without active NOx aftertreatment devices, in synergy with the DOE-DDC DELTA program. (4) Developed and applied advanced combustion technologies such as ''CLEAN Combustion{copyright}'', which yields simultaneous reduction in engine out NOx and PM emissions while also improving engine and aftertreatment integration by providing favorable exhaust species and temperature characteristics. These favorable emissions characteristics were obtained while maintaining performance and fuel economy. These aggressive emissions and performance results were achieved by applying a robust systems technology development methodology. This systems approach benefits substantially from an integrated experimental and analytical approach to technology development, which is one of DDCs core competencies Also, DDC is uniquely positioned to undertake such a systems technology development approach, given its vertically integrated commercial structure within the DaimlerChrysler organization. State-of-the-art analytical tools were developed targeting specific LEADER program objectives and were applied to guide system enhancements and to provide testing directions, resulting in a shortened and efficient development cycle. Application examples include ammonia/NO{sub x} distribution improvement and urea injection controls development, and were key contributors to significantly reduce engine out as well as tailpipe out emissions. Successful cooperation between DDC and Engelhard Corporation, the major subcontractor for the LEADER program and provider of state-of-the-art technologies on various catalysts, was another contributing factor to ensure that both passenger car and LD truck applications achieved Tier 2 Bin 3 emissions levels. Significant technical challenges, which highlight barriers of commercialization of diesel technology for passenger cars and LD truck applications, are presented at the end of this report.

None

2005-05-27T23:59:59.000Z

142

Methane Emissions - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Carbon Dioxide Equivalent; Estimated 2003 ... for about 8.7 percent of total U.S. greenhouse gas emissions when weighted by methanes global warming potential factor.

143

Amp-hour counting control for PV hybrid power systems  

SciTech Connect

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

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

1997-06-01T23:59:59.000Z

144

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba from NREL Cuba from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

145

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

146

Folding Proteins at 500 ns/hour with Work Queue  

E-Print Network (OSTI)

AbstractMolecular modeling is a field that traditionally has large computational costs. Until recently, most simulation techniques relied on long trajectories, which inherently have poor scalability. A new class of methods is proposed that requires only a large number of short calculations, and for which minimal communication between computer nodes is required. We considered one of the more accurate variants called Accelerated Weighted Ensemble Dynamics (AWE) and for which distributed computing can be made efficient. We implemented AWE using the Work Queue framework for task management and applied it to an all atom protein model (Fip35 WW domain). We can run with excellent scalability by simultaneously utilizing heterogeneous resources from multiple computing platforms such as clouds (Amazon EC2, Microsoft Azure), dedicated clusters, grids, on multiple architectures (CPU/GPU, 32/64bit), and in a dynamic environment in which processes are regularly added or removed from the pool. This has allowed us to achieve an aggregate sampling rate of over 500 ns/hour. As a comparison, a single process typically achieves 0.1 ns/hour. I.

Badi Abdul-wahid; Li Yu; Dinesh Rajan

2012-01-01T23:59:59.000Z

147

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

148

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

149

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Bangladesh stations from NREL Bangladesh stations from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

150

Pacific Northwest National Laboratory Site Dose-per-Unit-Release Factors for Use in Calculating Radionuclide Air Emissions Potential-to-Emit Doses  

Science Conference Proceedings (OSTI)

This report documents assumptions and inputs used to prepare the dose-per-unit-release factors for the Pacific Northwest National Laboratory (PNNL) Site (including the buildings that make up the Physical Sciences Facility [PSF] as well as the Environmental Molecular Sciences Laboratory [EMSL]) calculated using the EPA-approved Clean Air Act Assessment Package 1988Personal Computer (CAP88-PC) Version 3 software package. The dose-per-unit-release factors are used to prepare dose estimates for a maximum public receptor (MPR) in support of Radioactive Air Pollutants Notice of Construction (NOC) applications for the PNNL Site.

Barnett, J. M.; Rhoads, Kathleen

2009-06-11T23:59:59.000Z

151

NETL: IEP - Mercury Emissions Control: Emissions Characterization  

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

Control Control Emissions Characterization In anticipation of the 1990 CAAAs, specifically the draft Title III regarding the characterization of potential HAPs from electric steam generating units, DOE initiated a new Air Toxics Program in 1989. The DOE Mercury Measurement and Control Program evolved as a result of the findings from the comprehensive assessment of hazardous air pollutants studies conducted by DOE from 1990 through 1997. DOE, in collaboration with EPRI, performed stack tests at a number of coal-fired power plants (identified on map below) to accurately determine the emission rates of a series of potentially toxic chemicals. These tests had not been conducted previously because of their cost, about $1 million per test, so conventional wisdom on emissions was based on emission factors derived from analyses of coal. In general, actual emissions were found to be about one-tenth previous estimates, due to a high fraction of the pollutants being captured by existing particulate control systems. These data resulted in a decision by EPA that most of these pollutants were not a threat to the environment, and needed no further regulation at power plants. This shielded the coal-fired power industry from major (tens of millions) costs that would have resulted from further controlling these emissions. However, another finding of these studies was that mercury was not effectively controlled in coal-fired utility boiler systems. Moreover, EPA concluded that a plausible link exists between these emissions and adverse health effects. Ineffective control of mercury by existing control technologies resulted from a number of factors, including variation in coal composition and variability in the form of the mercury in flue gases. The volatility of mercury was the main contributor for less removal, as compared to the less volatile trace elements/metals which were being removed at efficiencies over 99% with the fly ash. In addition, it was determined that there was no reliable mercury speciation method to accurately distinguish between the elemental and oxidized forms of mercury in the flue gas. These two forms of mercury respond differently to removal techniques in existing air pollution control devices utilized by the coal-fired utility industry.

152

Geothermal Electrical Production CO2 Emissions Study  

DOE Green Energy (OSTI)

Emission of ?greenhouse gases? into the environment has become an increasing concern. Deregulation of the electrical market will allow consumers to select power suppliers that utilize ?green power.? Geothermal power is classed as ?green power? and has lower emissions of carbon dioxide per kilowatt-hour of electricity than even the cleanest of fossil fuels, natural gas. However, previously published estimates of carbon dioxide emissions are relatively old and need revision. This study estimates that the average carbon dioxide emissions from geothermal and fossil fuel power plants are: geothermal 0.18 , coal 2.13, petroleum 1.56 , and natural gas 1.03 pounds of carbon dioxide per kilowatt-hour respectively.

K. K. Bloomfield (INEEL); J. N. Moore (Energy and Geoscience Institute)

1999-10-01T23:59:59.000Z

153

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

154

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

155

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Honduras from SUNY Honduras from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

156

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

157

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nicaragua from SUNY Nicaragua from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

158

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Central America from NREL Central America from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

159

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Guatemala from SUNY Guatemala from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

160

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba sites from SUNY Cuba sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

Note: This page contains sample records for the topic "hourly emission factors" 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

What do hourly performance data on a building tell us  

DOE Green Energy (OSTI)

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

Subbarao, K.

1984-11-01T23:59:59.000Z

162

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

El Salvador sites from SUNY El Salvador sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

163

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

164

The California Climate Action Registry: Development of methodologies for calculating greenhouse gas emissions from electricity generation  

E-Print Network (OSTI)

draft). Estimating Carbon Dioxide Emission Factors for thefactors for calculating the combined net carbon dioxide

2002-01-01T23:59:59.000Z

165

What Can China Do? China's Best Alternative Outcome for Energy Efficiency and CO2 Emissions  

E-Print Network (OSTI)

carbon dioxide emissions. The model uses generation dispatch algorithms, efficiency levels, and capacity factors

G. Fridley, David

2010-01-01T23:59:59.000Z

166

Effects of uncertainty in SAPRC90 rate constants and selected product yields on reactivity adjustment factors for alternative fuel vehicle emissions. Final report  

DOE Green Energy (OSTI)

Tropospheric ozone is formed in the atmosphere by a series of reactions involving volatile organic compounds (VOCs) and nitrogen oxides (NO{sub x}). While NOx emissions are primarily composed of only two compounds, nitrogen oxide (NO) and nitrogen dioxide (NO{sub 2}), there are hundreds of different VOCs being emitted. In general, VOCs promote ozone formation, however, the rate and extent of ozone produced by the individual VOCs varies considerably. For example, it is widely acknowledged that formaldehyde (HCHO) is a very reactive VOC, and produces ozone rapidly and efficiently under most conditions. On the other hand, VOCs such as methane, ethane, propane, and methanol do not react as quickly, and are likely to form less urban ozone than a comparable mass of HCHO. The difference in ozone forming potential is one of the bases for the use of alternative fuels. The fuels considered in this study included compressed natural gas, LPG, mixtures of methanol and gasoline, ethanol and gasoline, and a reformulated gasoline.

Bergin, M.S.; Russell, A.G.; Yang, Y.J.; Milford, J.B.; Kirchner, F.; Stockwell, W.R.

1996-07-01T23:59:59.000Z

167

NATURAL GAS VARIABILITY IN CALIFORNIA: ENVIRONMENTAL IMPACTS AND DEVICE PERFORMANCE EXPERIMENTAL EVALUATION OF POLLUTANT EMISSIONS FROM RESIDENTIAL APPLIANCES  

E-Print Network (OSTI)

emissionfactorsforcarbonmonoxide,nitrogenoxides, nitrogendioxide,emissionfactorsweredeterminedforcarbonmonoxide,nitrogenoxides,nitrogendioxide,

Singer, Brett C.

2010-01-01T23:59:59.000Z

168

Life Cycle Greenhouse Gas Emissions of Nuclear Electricity Generation: Systematic Review and Harmonization  

SciTech Connect

A systematic review and harmonization of life cycle assessment (LCA) literature of nuclear electricity generation technologies was performed to determine causes of and, where possible, reduce variability in estimates of life cycle greenhouse gas (GHG) emissions to clarify the state of knowledge and inform decision making. LCA literature indicates that life cycle GHG emissions from nuclear power are a fraction of traditional fossil sources, but the conditions and assumptions under which nuclear power are deployed can have a significant impact on the magnitude of life cycle GHG emissions relative to renewable technologies. Screening 274 references yielded 27 that reported 99 independent estimates of life cycle GHG emissions from light water reactors (LWRs). The published median, interquartile range (IQR), and range for the pool of LWR life cycle GHG emission estimates were 13, 23, and 220 grams of carbon dioxide equivalent per kilowatt-hour (g CO{sub 2}-eq/kWh), respectively. After harmonizing methods to use consistent gross system boundaries and values for several important system parameters, the same statistics were 12, 17, and 110 g CO{sub 2}-eq/kWh, respectively. Harmonization (especially of performance characteristics) clarifies the estimation of central tendency and variability. To explain the remaining variability, several additional, highly influential consequential factors were examined using other methods. These factors included the primary source energy mix, uranium ore grade, and the selected LCA method. For example, a scenario analysis of future global nuclear development examined the effects of a decreasing global uranium market-average ore grade on life cycle GHG emissions. Depending on conditions, median life cycle GHG emissions could be 9 to 110 g CO{sub 2}-eq/kWh by 2050.

Warner, E. S.; Heath, G. A.

2012-04-01T23:59:59.000Z

169

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

Science Conference Proceedings (OSTI)

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

170

Weigel, Southworth, and Meyer 1 Calculators for Estimating Greenhouse Gas Emissions from Public  

E-Print Network (OSTI)

electricity emissions, inventory calculators utilize data from the U.S. EPA's eGRID database of electrical power generation emission factors (32). The eGRID emission factors include neither upstream fuel power generation emission factors (lbs GHGs/MWh) from the EPA's eGRID database (32). Regional electric

171

Estimating Hourly All-Sky Solar Irradiation Components from Meteorological Data  

Science Conference Proceedings (OSTI)

A new method to calculate hourly direct beam and diffuse irradiation on a horizontal surface using 3-h standard meteorological data is described. Comparisons of computed and observed irradiations are made with hourly data obtained in Carpentras ...

F. Kermel

1988-02-01T23:59:59.000Z

172

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate...  

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

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008...

173

Seasonal Variations in the Diurnal Characteristics of Heavy Hourly precipitation across the United States  

Science Conference Proceedings (OSTI)

Hourly precipitation data from 1967 to 1983 for the coterminous, United States were harmonically analyzed in order to document the diurnal variability of several categories of heavy hourly precipitation during winter, spring, summer, and autumn. ...

Julie A. Winkler; Brent R. Skeeter; Paul D. Yamamoto

1988-08-01T23:59:59.000Z

174

HFC Emissions Estinating  

Science Conference Proceedings (OSTI)

... Dioxide Emissions Reporting Year: January December, 200x Agent Type GWP Total Emission by Agent Type, kg Equivalent CO2 Emission by ...

2011-10-13T23:59:59.000Z

175

Saving Fuel, Reducing Emissions  

E-Print Network (OSTI)

lower greenhouse gas emissions from electricity productionAssessment of Greenhouse Gas Emissions from Plug-in Hybridof national greenhouse gas emissions. Both motor vehicle

Kammen, Daniel M.; Arons, Samuel M.; Lemoine, Derek M.; Hummel, Holmes

2009-01-01T23:59:59.000Z

176

CO2 Emissions - Gibraltar  

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

Gibraltar CO2 Emissions from Gibraltar Data graphic Data CO2 Emissions from Gibraltar image Per capita CO2 Emission Estimates for Gibraltar...

177

CO2 Emissions - Mozambique  

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

Mozambique Graphics CO2 Emissions from Mozambique Data graphic Data CO2 Emissions from Mozambique image Per capita CO2 Emission Estimates for Mozambique...

178

CO2 Emissions - Macau  

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

Far East Macau CO2 Emissions from Macau Data graphic Data CO2 Emissions from Macau image Per capita CO2 Emission Estimates for Macau...

179

CO2 Emissions - Guadeloupe  

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

Guadeloupe Graphics CO2 Emissions from Guadeloupe Data graphic Data CO2 Emissions from Guadeloupe image Per capita CO2 Emission Estimates for Guadeloupe...

180

CO2 Emissions - Ghana  

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

Africa Ghana Graphics CO2 Emissions from Ghana Data graphic Data CO2 Emissions from Ghana image Per capita CO2 Emission Estimates for Ghana...

Note: This page contains sample records for the topic "hourly emission factors" 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

CO2 Emissions - Ireland  

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

Ireland CO2 Emissions from Ireland Data graphic Data CO2 Emissions from Ireland image Per capita CO2 Emission Estimates for Ireland...

182

CO2 Emissions - Malta  

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

Western Europe Malta CO2 Emissions from Malta Data graphic Data CO2 Emissions from Malta image Per capita CO2 Emission Estimates for Malta...

183

CO2 Emissions - Kyrgyzstan  

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

Centrally Planned Europe Kyrgyzstan CO2 Emissions from Kyrgyzstan Data graphic Data CO2 Emissions from Kyrgyzstan image Per capita CO2 Emission Estimates for Kyrgyzstan...

184

CO2 Emissions - Mali  

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

Africa Mali Graphics CO2 Emissions from Mali Data graphic Data CO2 Emissions from Mali image Per capita CO2 Emission Estimates for Mali...

185

CO2 Emissions - Portugal  

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

Western Europe Portugal CO2 Emissions from Portugal Data graphic Data CO2 Emissions from Portugal image Per capita CO2 Emission Estimates for Portugal...

186

CO2 Emissions - Paraguay  

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

Paraguay Graphics CO2 Emissions from Paraguay Data graphic Data CO2 Emissions from Paraguay image Per capita CO2 Emission Estimates for Paraguay...

187

CO2 Emissions - Macedonia  

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

Western Europe Macedonia CO2 Emissions from Macedonia Data graphic Data CO2 Emissions from Macedonia image Per capita CO2 Emission Estimates for Macedonia...

188

CO2 Emissions - Malawi  

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

Malawi Graphics CO2 Emissions from Malawi Data graphic Data CO2 Emissions from Malawi image Per capita CO2 Emission Estimates for Malawi...

189

CO2 Emissions - Gabon  

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

Africa Gabon Graphics CO2 Emissions from Gabon Data graphic Data CO2 Emissions from Gabon image Per capita CO2 Emission Estimates for Gabon...

190

CO2 Emissions - Grenada  

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

Grenada Graphics CO2 Emissions from Grenada Data graphic Data CO2 Emissions from Grenada image Per capita CO2 Emission Estimates for Grenada...

191

CO2 Emissions - Kiribati  

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

Oceania Kiribati Graphics CO2 Emissions from Kiribati Data graphic Data CO2 Emissions from Kiribati image Per capita CO2 Emission Estimates for Kiribati...

192

CO2 Emissions - Israel  

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

Israel Graphics CO2 Emissions from Israel Data graphic Data CO2 Emissions from Israel image Per capita CO2 Emission Estimates for Israel...

193

CO2 Emissions - Phillippines  

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

Far East Phillippines CO2 Emissions from Phillippines Data graphic Data CO2 Emissions from Phillippines image Per capita CO2 Emission Estimates for Phillippines...

194

CO2 Emissions - Niger  

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

Africa Niger Graphics CO2 Emissions from Niger Data graphic Data CO2 Emissions from Niger image Per capita CO2 Emission Estimates for Niger...

195

CO2 Emissions - Mauritius  

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

Africa Mauritius Graphics CO2 Emissions from Mauritius Data graphic Data CO2 Emissions from Mauritius image Per capita CO2 Emission Estimates for Mauritius...

196

CO2 Emissions - Malaysia  

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

Malaysia CO2 Emissions from Malaysia Data graphic Data CO2 Emissions from Malaysia image Per capita CO2 Emission Estimates for Malaysia...

197

CO2 Emissions - Reunion  

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

Reunion Graphics CO2 Emissions from Reunion Data graphic Data CO2 Emissions from Reunion image Per capita CO2 Emission Estimates for Reunion...

198

CO2 Emissions - Guatemala  

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

Guatemala Graphics CO2 Emissions from Guatemala Data graphic Data CO2 Emissions from Guatemala image Per capita CO2 Emission Estimates for Guatemala...

199

CO2 Emissions - Iceland  

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

Iceland CO2 Emissions from Iceland Data graphic Data CO2 Emissions from Iceland image Per capita CO2 Emission Estimates for Iceland...

200

CO2 Emissions - Mongolia  

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

Asia Mongolia CO2 Emissions from Mongolia Data graphic Data CO2 Emissions from Mongolia image Per capita CO2 Emission Estimates for Mongolia...

Note: This page contains sample records for the topic "hourly emission factors" 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

CO2 Emissions - Romania  

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

Centrally Planned Europe Romania CO2 Emissions from Romania Data graphic Data CO2 Emissions from Romania image Per capita CO2 Emission Estimates for Romania...

202

CO2 Emissions - Panama  

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

Panama Graphics CO2 Emissions from Panama Data graphic Data CO2 Emissions from Panama image Per capita CO2 Emission Estimates for Panama...

203

CO2 Emissions - Madagascar  

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

Madagascar Graphics CO2 Emissions from Madagascar Data graphic Data CO2 Emissions from Madagascar image Per capita CO2 Emission Estimates for Madagascar...

204

CO2 Emissions - Netherlands  

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

Netherlands CO2 Emissions from Netherlands Data graphic Data CO2 Emissions from Netherlands image Per capita CO2 Emission Estimates for Netherlands...

205

CO2 Emissions - Greenland  

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

Greenland Graphics CO2 Emissions from Greenland Data graphic Data CO2 Emissions from Greenland image Per capita CO2 Emission Estimates for Greenland...

206

CO2 Emissions - Norway  

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

Norway CO2 Emissions from Norway Data graphic Data CO2 Emissions from Norway image Per capita CO2 Emission Estimates for Norway...

207

CO2 Emissions - Guyana  

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

Guyana Graphics CO2 Emissions from Guyana Data graphic Data CO2 Emissions from Guyana image Per capita CO2 Emission Estimates for Guyana...

208

CO2 Emissions - Mauritania  

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

Africa Mauritania Graphics CO2 Emissions from Mauritania Data graphic Data CO2 Emissions from Mauritania image Per capita CO2 Emission Estimates for Mauritania...

209

CO2 Emissions - Lithuania  

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

Centrally Planned Europe Lithuania CO2 Emissions from Lithuania Data graphic Data CO2 Emissions from Lithuania image Per capita CO2 Emission Estimates for Lithuania...

210

CO2 Emissions - Kenya  

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

Africa Kenya Graphics CO2 Emissions from Kenya Data graphic Data CO2 Emissions from Kenya image Per capita CO2 Emission Estimates for Kenya...

211

CO2 Emissions - Latvia  

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

Centrally Planned Europe Latvia CO2 Emissions from Latvia Data graphic Data CO2 Emissions from Latvia image Per capita CO2 Emission Estimates for Latvia...

212

CO2 Emissions - Georgia  

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

Centrally Planned Europe Georgia CO2 Emissions from Georgia Data graphic Data CO2 Emissions from Georgia image Per capita CO2 Emission Estimates for Georgia...

213

CO2 Emissions - Gambia  

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

Gambia Graphics CO2 Emissions from Gambia Data graphic Data CO2 Emissions from Gambia image Per capita CO2 Emission Estimates for Gambia...

214

CO2 Emissions - Montenegro  

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

Centrally Planned Europe Montenegro CO2 Emissions from Montenegro Data graphic Data CO2 Emissions from Montenegro image Per capita CO2 Emission Estimates for Montenegro...

215

CO2 Emissions - Oman  

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

Middle East Oman Graphics CO2 Emissions from Oman Data graphic Data CO2 Emissions from Oman image Per capita CO2 Emission Estimates for Oman...

216

CO2 Emissions - Kuwait  

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

Middle East Kuwait Graphics CO2 Emissions from Kuwait Data graphic Data CO2 Emissions from Kuwait image Per capita CO2 Emission Estimates for Kuwait...

217

CO2 Emissions - Lebanon  

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

Middle East Lebanon Graphics CO2 Emissions from Lebanon Data graphic Data CO2 Emissions from Lebanon image Per capita CO2 Emission Estimates for Lebanon...

218

CO2 Emissions - Nigeria  

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

Africa Nigeria Graphics CO2 Emissions from Nigeria Data graphic Data CO2 Emissions from Nigeria image Per capita CO2 Emission Estimates for Nigeria...

219

CO2 Emissions - Maldives  

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

Far East Maldives CO2 Emissions from Maldives Data graphic Data CO2 Emissions from Maldives image Per capita CO2 Emission Estimates for Maldives...

220

CO2 Emissions - Morocco  

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

Morocco Graphics CO2 Emissions from Morocco Data graphic Data CO2 Emissions from Morocco image Per capita CO2 Emission Estimates for Morocco...

Note: This page contains sample records for the topic "hourly emission factors" 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

CO2 Emissions - Pakistan  

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

Far East Pakistan CO2 Emissions from Pakistan Data graphic Data CO2 Emissions from Pakistan image Per capita CO2 Emission Estimates for Pakistan...

222

CO2 Emissions - Palau  

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

Oceania Palau CO2 Emissions from Palau Data graphic Data CO2 Emissions from Palau image Per capita CO2 Emission Estimates for Palau...

223

CO2 Emissions - Qatar  

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

Middle East Qatar Graphics CO2 Emissions from Qatar Data graphic Data CO2 Emissions from Qatar image Per capita CO2 Emission Estimates for Qatar...

224

CO2 Emissions - Guam  

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

Oceania Guam Graphics CO2 Emissions from Guam Data graphic Data CO2 Emissions from Guam image Per capita CO2 Emission Estimates for Guam...

225

CO2 Emissions - Rwanda  

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

Africa Rwanda Graphics CO2 Emissions from Rwanda Data graphic Data CO2 Emissions from Rwanda image Per capita CO2 Emission Estimates for Rwanda...

226

CO2 Emissions - Guinea  

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

Africa Guinea Graphics CO2 Emissions from Guinea Data graphic Data CO2 Emissions from Guinea image Per capita CO2 Emission Estimates for Guinea...

227

CO2 Emissions - Luxembourg  

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

Western Europe Luxembourg CO2 Emissions from Luxembourg Data graphic Data CO2 Emissions from Luxembourg image Per capita CO2 Emission Estimates for Luxembourg...

228

CO2 Emissions - Liberia  

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

Africa Liberia Graphics CO2 Emissions from Liberia Data graphic Data CO2 Emissions from Liberia image Per capita CO2 Emission Estimates for Liberia...

229

CO2 Emissions - Haiti  

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

Haiti Graphics CO2 Emissions from Haiti Data graphic Data CO2 Emissions from Haiti image Per capita CO2 Emission Estimates for Haiti...

230

CO2 Emissions - Iraq  

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

Iraq Graphics CO2 Emissions from Iraq Data graphic Data CO2 Emissions from Iraq image Per capita CO2 Emission Estimates for Iraq...

231

CO2 Emissions - Hungary  

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

Centrally Planned Europe Hungary CO2 Emissions from Hungary Data graphic Data CO2 Emissions from Hungary image Per capita CO2 Emission Estimates for Hungary...

232

CO2 Emissions - Nepal  

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

Far East Nepal CO2 Emissions from Nepal Data graphic Data CO2 Emissions from Nepal image Per capita CO2 Emission Estimates for Nepal...

233

CO2 Emissions - Nauru  

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

Nauru Graphics CO2 Emissions from Nauru Data graphic Data CO2 Emissions from Nauru image Per capita CO2 Emission Estimates for Nauru...

234

CO2 Emissions - Myanmar  

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

Myanmar CO2 Emissions from Myanmar Data graphic Data CO2 Emissions from Myanmar image Per capita CO2 Emission Estimates for Myanmar...

235

Glossary Term - Neutron Emission  

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

Neutron Previous Term (Neutron) Glossary Main Index Next Term (Niobe) Niobe Neutron Emission After neutron emission, an atom contains one less neutron. Neutron emission is one...

236

Glossary Term - Proton Emission  

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

Proton Previous Term (Proton) Glossary Main Index Next Term (Quark) Quark Proton Emission After proton emission, an atom contains one less proton. Proton emission is one process...

237

CO2 Emissions - Jordan  

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

Middle East Jordan Graphics CO2 Emissions from Jordan Data graphic Data CO2 Emissions from Jordan image Per capita CO2 Emission Estimates for Jordan...

238

CO2 Emissions - Greece  

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

Western Europe Greece CO2 Emissions from Greece Data graphic Data CO2 Emissions from Greece image Per capita CO2 Emission Estimates for Greece...

239

Development of methodologies for calculating greenhouse gas emissions from electricity generation for the California climate action registry  

E-Print Network (OSTI)

draft). Estimating Carbon Dioxide Emission Factors for thefactors for calculating the combined net carbon dioxide

2002-01-01T23:59:59.000Z

240

Energy Efficiency/Renewable Energy Impact in the Texas Emissions Reduction Plan (TERP), Preliminary Report: Integrated NOx Emissions Savings from EE/RE Programs Statewide  

E-Print Network (OSTI)

The Energy Systems Laboratory (ESL), at the Texas Engineering Experiment Station of the Texas A&M University System, in fulfillment of its responsibilities under Texas Health and Safety Code Ann. 388.003 (e), Vernon Supp. 2002, submits this sixth annual report, Energy Efficiency/Renewable Energy (EE/RE) Impact in the Texas Emissions Reduction Plan (Preliminary Report) to the Texas Commission on Environmental Quality. In this preliminary report the NOx emissions savings from the energy-efficiency programs from multiple Texas State Agencies working under Senate Bill 5 and Senate Bill 7 in a uniform format to allow the TECQ to consider the combined savings for Texas State Implementation Plan (SIP) planning purposes. This required that the analysis should include the cumulative savings estimates from all projects projected through 2020 for both the annual and Ozone Season Day (OSD) NOx reductions. The NOx emissions reduction from all these programs were calculated using estimated emissions factors for 2007 from the US Environmental Protection Agency (US EPA) eGRID database, which had been specially prepared for this purpose. In 2007 the cumulative total annual electricity savings from all programs is 12,591,561 MWh/yr (8,326 tons-NOx/year). The total cumulative OSD electricity savings from all programs is 37,421 MWh/day, which would be a 1,559 MW average hourly load reduction during the OSD period (25.05 tons-NOx/day). By 2013 the total cumulative annual electricity savings from will be 28,802,074 MWh/year (18,723 tons-NOx/year). The total cumulative OSD electricity savings from all programs will be 88,560 MWh/day, which would be 3,690 MW average hourly load reduction during the OSD period (58.47 tons-NOx/day).

Degelman, L.; Mukhopadhyay, J.; McKelvey, K.; Montgomery, C.; Baltazar-Cervantes, J. C.; Liu, Z.; Gilman, D.; Culp, C.; Yazdani, B.; Haberl, J. S.

2008-08-29T23:59:59.000Z

Note: This page contains sample records for the topic "hourly emission factors" 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

Global emissions inventories  

SciTech Connect

Atmospheric chemistry determines the concentrations of most of the important greenhouse gases except for carbon dioxide. The rate of removal of the greenhouse gases from the atmosphere is also controlled by atmospheric chemistry. The indirect effects of chemical forcing resulting from the chemical interactions of other species can also affect the concentrations of radiatively important gases such as ozone. In order to establish the contribution of any possible climatic change attributable to individual greenhouse gases, spatially and temporally resolved estimates of their emissions need to be established. Unfortunately, for most of the radiatively important species the global magnitudes of their individual fluxes are not known to better than a factor of two and their spatial distributions are even more poorly characterized. Efforts to estimate future projections of potential impacts and to monitor international agreements will require continued research to narrow the uncertainties of magnitude and geographical distribution of emissions.

Dignon, J.

1995-07-01T23:59:59.000Z

242

CO2 Emissions - Namibia  

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

Fossil Fuel CO2 Emissions Regional Africa Namibia CO2 Emissions from Namibia Data graphic Data CO2 Emissions from Namibia image Per capita CO2 Emission Estimates for...

243

Question of the Week: How Are You Observing Earth Hour? | Department of  

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

Are You Observing Earth Hour? Are You Observing Earth Hour? Question of the Week: How Are You Observing Earth Hour? March 26, 2009 - 12:16pm Addthis This Saturday, March 28th, people around the world will observe Earth Hour at 8:30 p.m. local time-whatever the local time zone happens to be-by switching off their lights for one hour. While many people are taking part by simply shutting off their lights and lighting some candles, some communities are hosting gatherings or events around Earth Hour. How are you observing Earth Hour? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please e-mail your responses to the Energy Saver team at consumer.webmaster@nrel.gov. Addthis Related Articles Question of the Week: How Will You Save Energy this Spring?

244

Carbon Dioxide Emission Factors for Coal  

U.S. Energy Information Administration (EIA)

by B.D. Hong and E. R. Slatick. Note: This article was originally published in Energy Information Administration, Quarterly Coal Report, January-April 1994, DOE/EIA ...

245

Electrical and Production Load Factors  

E-Print Network (OSTI)

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

Sen, Tapajyoti

2009-12-01T23:59:59.000Z

246

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

of biomass (lignin) and biogas for process heat. TheyBTU-lignin/BTU-fuel) and emission factors for biogas (g/BTU-gas) by biogas-use factors (BTU-gas/BTU-fuel). The emission

Delucchi, Mark

2003-01-01T23:59:59.000Z

247

Emissions of Greenhouse Gases in the United States, 2000 Executive Summary  

Reports and Publications (EIA)

Executive Summary on the Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. These estimates are based on activity data and applied emissions factors and not on measured or metered emissions monitoring.

Perry Lindstrom

2001-11-01T23:59:59.000Z

248

Modeling CO2 Emissions Impact of Energy Efficiency  

Science Conference Proceedings (OSTI)

This report details EPRI's continued efforts to model the marginal carbon dioxide (CO2) emissions impact of energy efficiency. Though intuitively recognized to reduce emissions, energy efficiency is not universally accepted as an eligible category for emissions credit in most trading or offset markets today. Chief among barriers to eligibility is the lack of precision in emissions reduction estimates based on average emissions factors. This study refines and expands marginal CO2 intensities of energy eff...

2010-12-28T23:59:59.000Z

249

Modeling CO2 Emissions Impact of Energy Efficiency  

Science Conference Proceedings (OSTI)

This report details EPRI's continued efforts to model the marginal carbon dioxide (CO2) emissions impact of energy efficiency. Though intuitively recognized to reduce emissions, energy efficiency is not universally accepted as an eligible category for emissions credit in most trading or offset markets today. Chief among the barriers to eligibility is the lack of precision in emissions reduction estimates based on average emissions factors. This study refines and expands the marginal CO2 intensities of en...

2009-12-22T23:59:59.000Z

250

Modeling CO2 Emissions Impact of Energy Efficiency  

Science Conference Proceedings (OSTI)

This report describes an effort to model the marginal carbon dioxide (CO2) emissions impact of energy efficiency. Though intuitively recognized to reduce emissions, energy efficiency is not universally accepted as an eligible category for emissions credit in most trading or offset markets today. Chief among the barriers to eligibility is the lack of precision in emissions reduction estimates based on average emissions factors. This study establishes a proof-of-concept for quantifying marginal CO2 intensi...

2008-12-23T23:59:59.000Z

251

Emissions Modeling for Electric Vehicles: Progress Report  

Science Conference Proceedings (OSTI)

There has been considerable debate and numerous publications comparing the emissions from alternative fuel vehicles with those of internal combustion engine vehicles. Considering the highly competitive nature of the automotive industry, the size of the automotive fuels markets, and intense regulatory scrutiny of emissions, there is no easy method of establishing agreement on all of the analytical factors involved in emissions analysis from vehicles. However, agreement on many of the factual parameters sh...

1999-12-09T23:59:59.000Z

252

Voluntary Reporting of Greenhouse Gases Program - Electricity Factors  

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

Voluntary Reporting Program > Coefficients Voluntary Reporting Program > Coefficients Voluntary Reporting of Greenhouse Gases Program (Voluntary Reporting of Greenhouse Gases Program Fuel Carbon Dioxide Emission Coefficients) Voluntary Reporting of Greenhouse Gases Program Fuel Emission Coefficients Table 1: Carbon Dioxide Emission Factors for Stationary Combustion Table 2: Carbon Dioxide Emission Factors for Transportation Fuels Table 3: Generic Methane and Nitrous Oxide Emission Factors for Stationary Fuel Combustion Table 4: Specific Methane and Nitrous Oxide Emission Factors for Biogenic Fuel Sources Table 5: Methane and Nitrous Oxide Emissions Factors for Highway Vehicles Table 6: Methane and Nitrous Oxide Emission Factors for Alternative Fuel Vehicles Table 7: Methane and Nitrous Oxide Emission Factors for Non-Highway Mobile Combustion

253

Vehicle Emission Basics | Department of Energy  

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

Vehicle Emission Basics Vehicle Emission Basics Vehicle Emission Basics November 22, 2013 - 2:07pm Addthis Vehicle emissions are the gases emitted by the tailpipes of vehicles powered by internal combustion engines, which include gasoline, diesel, natural gas, and propane vehicles. Vehicle emissions are composed of varying amounts of: water vapor carbon dioxide (CO2) nitrogen oxygen pollutants such as: carbon monoxide (CO) nitrogen oxides (NOx) unburned hydrocarbons (UHCs) volatile organic compounds (VOCs) particulate matter (PM) A number of factors determine the composition of emissions, including the vehicle's fuel, the engine's technology, the vehicle's exhaust aftertreatment system, and how the vehicle operates. Emissions are also produced by fuel evaporation during fueling or even when vehicles are

254

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

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

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

255

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

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

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

256

Emissions of Criteria Pollutants, Toxic Air Pollutants, and Greenhouse Gases, From the Use of Alternative Transportation Modes and Fuels  

E-Print Network (OSTI)

Environmental Information Handbook, DOE/EH-0077, Washington,s emission-factor handbook does not give emission factorsHandbook, Environmental Pollution and Control Factors, Third Edition, DOE/

Delucchi, Mark

1996-01-01T23:59:59.000Z

257

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

facilities that receive electricity service from Niagaraperiods is your facilitys electricity use highest? ( CHECKthe next days hourly electricity prices? ( CHECK ONLY ONE )

2005-01-01T23:59:59.000Z

258

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

next days hourly electricity prices? ( CHECK ONLY ONE ) 1.to Real Time Electricity Prices, Unpublished Manuscript atahead Wholesale Market Electricity Prices: Case Study of RTP

2005-01-01T23:59:59.000Z

259

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size: Preprint  

DOE Green Energy (OSTI)

In this paper, we analyze sub-hourly ramping requirements and the benefit of combining Balancing Authority operations with significant wind penetrations.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

260

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

nature of electric service and usage, defining the hoursElectric. 12 The resulting evaluation report estimated elasticities and found measurable reductions in energy usage

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly emission factors" 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

Intra-hour Direct Normal Irradiance solar forecasting using genetic programming  

E-Print Network (OSTI)

UNIVERSITY OF CALIFORNIA, SAN DIEGO Intra-hour Direct NormalChair University of California, San Diego iii TABLE OFRPS, Technical report, California Independent System

Queener, Benjamin Daniel

2012-01-01T23:59:59.000Z

262

An improved procedure for developing a calibrated hourly simulation model of an electrically heated and cooled commercial building  

E-Print Network (OSTI)

With the increased use of building energy simulation programs, calibration of simulated data to measured data has been recognized as an important factor in substantiating how well the model fits a real building. Model calibration to measured monthly utility data has been utilized for many years. Recently, efforts have reported calibrated models at the hourly level. Most of the previous methods have relied on very simple comparisons including bar charts, monthly percent difference time-series graphs, and x-y scatter plots. A few advanced methods have been proposed as well which include carpet plots and comparative 3-D time-series plots. Unfortunately, at hourly levels of calibration, many of the traditional graphical calibration techniques become overwhelmed with data and suffer from data overlap. In order to improve upon previously established techniques, this thesis presents new calibration methods including temperature binned box-whisker-mean analysis to improve x-y scatter plots, 24-hour weather-daytype box-whisker-mean graphs to show hourly temperature-dependent energy use profiles, and 52-week box-whisker-mean plots to display long-term trends. In addition to the graphical calibration techniques, other methods are also used including indoor temperature calibration to improve thermostat schedules and architectural rendering as a means of verifying the building envelope dimensions and shading placement. Several statistical methods are also reviewed for their appropriateness including percent difference, mean bias error (MBE), and the coefficient of variation of the root mean squared error. Results are presented using a case study building located in Washington, D.C. In the case study building, nine months of hourly whole-building electricity data and site-specific weather data were measured and used with the DOE-2. 1D building simulation program to test the new techniques. Use of the new calibration procedures were able to produce a MBE of-0.7% and a CV(RMSE) of 23. 1 % which compare favorably with the most accurate hourly neural network models.

Bou-Saada, Tarek Edmond

1994-01-01T23:59:59.000Z

263

Air Pollution Control Regulations: No. 3- Particulate Emissions from Industrial Processes (Rhode Island)  

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

These regulations limit particulate emissions into the atmosphere by process weight per hour, where process weight is the total weight of all materials introduced into any specific process which...

264

EIA - Greenhouse Gas Emissions - Nitrous Oxide Emissions  

Gasoline and Diesel Fuel Update (EIA)

4. Nitrous Oxide Emissions 4. Nitrous Oxide Emissions 4.1 Total emissions U.S. nitrous oxide emissions in 2009 were 4 MMTCO2e (1.7 percent) below their 2008 total (Table 22). Sources of U.S. nitrous oxide emissions include agriculture, energy use, industrial processes, and waste management (Figure 22). The largest source is agriculture (73 percent), and the majority of agricultural emissions result from nitrogen fertilization of agricultural soils (87 percent of the agriculture total) and management of animal waste (13 percent). U.S. nitrous oxide emissions rose from 1990 to 1994, fell from 1994 to 2002, and returned to an upward trajectory from 2003 to 2007, largely as a result of increased use of synthetic fertilizers. Fertilizers are the primary contributor of emissions from nitrogen fertilization of soils, which grew by more than 30 percent from

265

Multi-hour network planning based on domination between sets of traffic matrices  

Science Conference Proceedings (OSTI)

In multi-hour network design, periodic traffic variations along time are considered in the dimensioning process. Then, the non coincidence of traffic peaks along the day or the week can be exploited. This paper investigates the application of the traffic ... Keywords: Multi-hour traffic, Network planning, Traffic domination

P. Pavon-Marino; B. Garcia-Manrubia; R. Aparicio-Pardo

2011-02-01T23:59:59.000Z

266

Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices  

E-Print Network (OSTI)

1 Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices Sumit Mitra Ignacio;2 Motivation of this work · Deregulation of the electricity markets caused electricity prices to be highly? (retrofit) · Challenge: Multi-scale nature of the problem! Hourly varying electricity prices vs. 10-15 years

Grossmann, Ignacio E.

267

Cloudy Sky Version of Bird's Broadband Hourly Clear Sky Model (Presentation)  

DOE Green Energy (OSTI)

Presentation on Bird's Broadband Hourly Clear Sky Model given by NREL's Daryl Myers at SOLAR 2006. The objective of this report is to produce ''all sky'' modeled hourly solar radiation. This is based on observed cloud cover data using a SIMPLE model.

Myers, D.

2006-08-01T23:59:59.000Z

268

EIA - Greenhouse Gas Emissions - Methane Emissions  

U.S. Energy Information Administration (EIA)

Residential wood consumption accounted for just over 45 percent of U.S. methane emissions from stationary combustion in 2009.

269

CO2 Emissions - Peru  

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

Central America, South America, and the Caribbean Nations Peru Graphics CO2 Emissions from Peru Data graphic Data CO2 Emissions from Peru image Per capita CO2 Emission Estimates...

270

CO2 Emissions - Bolivia  

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

Central America, South America, and the Caribbean Nations Bolivia Graphics CO2 Emissions from Bolivia Data graphic Data CO2 Emissions from Bolivia image Per capita CO2 Emission...

271

CO2 Emissions - Jamaica  

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

Central America, South America, and the Caribbean Nations Jamaica Graphics CO2 Emissions from Jamaica Data graphic Data CO2 Emissions from Jamaica image Per capita CO2 Emission...

272

SF6 Emission Reduction  

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

SF 6 Emission Reduction Steve Lowder Bonneville Power Administration 2010.09 slide 1 Emission Reduction Emission Reduction is the reason for why we do all of this - because:...

273

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor | Department of Energy  

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

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Docket No. EO-05-01: Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor, March 2002 to November 2004, showing the model overprediction Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor More Documents & Publications Comments on Department of Energy's Emergency Order To Resume Limited Operation at Mirant's Potomac River Generating Station and Proposed Mirant Compliance Plan Answer of Potomac Electric Power Company and PJM lnterconnection, L.L.C. to the October 6, 2005 motion filed by the Virginia Department of Environmental Quality Special Environmental Analysis For Actions Taken under U.S. Department of Energy Emergency Orders Regarding Operation of the Potomac River Generating

274

CO2 Emissions - Montserrat  

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

Central America, South America, and the Caribbean Nations Montserrat Graphics CO2 Emissions from Montserrat Data graphic Data CO2 Emissions from Montserrat image Per capita CO2...

275

CO2 Emissions - Martinique  

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

Central America, South America, and the Caribbean Nations Martinique Graphics CO2 Emissions from Martinique Data graphic Data CO2 Emissions from Martinique image Per capita CO2...

276

CO2 Emissions - Honduras  

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

Central America, South America, and the Caribbean Nations Honduras Graphics CO2 Emissions from Honduras Data graphic Data CO2 Emissions from Honduras image Per capita CO2...

277

CO2 Emissions - Nicaragua  

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

Central America, South America, and the Caribbean Nations Nicaragua Graphics CO2 Emissions from Nicaragua Data graphic Data CO2 Emissions from Nicaragua image Per capita CO2...

278

Trends Online Methane Emissions  

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

Emissions Introduction Annual Estimates of Global Anthropogenic Methane Emissions: 1860-1994 - D.I. Stern and R.K. Kaufmann Contents-Trends | CDIAC Home 102001...

279

Estimation of Chinese Inventories for Historical NMVOCs Emissions from Combustion  

Science Conference Proceedings (OSTI)

Based on time-varying statistical data and emission factors, multiyear NMVOCs emission inventories from fossil fuel combustion, biofuel burning, and biomass open burning in China for 1980-2005 were presented by a bottom-up estimate. The contributions ... Keywords: NMVOCs, emission inventory, combustion, China

Y. Bo; H. Cai; S. D. Xie

2008-10-01T23:59:59.000Z

280

2010 Guidelines to Defra / DECC's GHG Conversion Factors for Company Reporting  

E-Print Network (OSTI)

. ELECTRICITY CONVERSION FACTORS (ANNEX 3) 10 Summary of changes since previous update 10 Direct Emissions from UK Grid Electricity 10 Indirect Emissions from UK Grid Electricity 13 IV. CONVERSION FACTORS Emissions from Passenger Cars 16 Direct Emissions from Taxis 23 Direct Emissions from Vans 24 Direct

Note: This page contains sample records for the topic "hourly emission factors" 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

Catalysts for Lean Engine Emission Control - Emissions & Emission...  

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

controlling NOx emissions from lean engines is challenging. Traditionally, for the stoichiometric gasoline engine vehicles that dominate the U.S. passenger car market, a three-way...

282

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (  

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

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" ,,"Choke","Average","Average","Fluid","Methanol","Water","Oil","Gas","Hyd. Eq.","Gas" ,"Choke","Setting","Upstream","Upstream","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery" "Date and Time","Setting","Duration","Pressure","Temp.","Rate","Rate","Rate","Rate","Rate","Rate","Portion" "dd-mmm-yy","(64ths)","(hours)","(psia)","(degF)","(bfpd)","(bfpd)","(bwpd)","(bopd)","(mmcfpd)","(boepd)","(%)"

283

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

Science Conference Proceedings (OSTI)

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

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

2012-01-01T23:59:59.000Z

284

Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours  

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

Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Community Connections: Our link to Northern New Mexico Communities Latest Issue:Dec. 2013 - Jan. 2014 All Issues » submit Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Lab employees and retirees should log their VolunteerMatch hours to benefit local nonprofits. March 1, 2013 Volunteers help fill sandbags during flood season Volunteers help in many different roles including in healthcare. Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email So far, employees and retirees have volunteered more than 1.2 million volunteer hours. If you are a nonprofit organization that has Lab employees or retirees as

285

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Nepal. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Nepal NREL solar SWERA TILT UNEP Data application/zip icon Download data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

286

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

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

DOE Awards 265 Million Hours of Supercomputing Time to Advance DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

287

Spatial and Temporal Characteristics of Heavy Hourly Rainfall in the United States  

Science Conference Proceedings (OSTI)

The climatology of heavy rain events from hourly precipitation observations by Brooks and Stensrud is revisited in this study using two high-resolution precipitation datasets that incorporate both gauge observations and radar estimates. Analyses ...

Nathan M. Hitchens; Harold E. Brooks; Russ S. Schumacher

2013-12-01T23:59:59.000Z

288

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

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

265 Million Hours of Supercomputing Time to Advance 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

289

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

Open Energy Info (EERE)

Commercial and Residential Hourly Load Data Now Available on OpenEI! Commercial and Residential Hourly Load Data Now Available on OpenEI! Home > Groups > Utility Rate Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 building load building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL I am pleased to announce that simulated hourly residential and commercial building load datasets are now available on OpenEI. These datasets are available for all TMY3 locations in the United States. They contain hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). In addition to various

290

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

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

Ridge: Approaching 4 Million Safe Work Hours Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours March 11, 2013 - 12:03pm Addthis Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge David Sheeley Editor/Writer for Environmental Management's Office of External Affairs Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM's Oak Ridge cleanup, are approaching a milestone of 4 million safe work hours

291

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ethiopia from DLR Ethiopia from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ethiopia. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar SWERA TILT UNEP Data application/zip icon Download data (zip, 2.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

292

WIPP Workers Reach Two Million Man-Hours Without a Lost-Time Accident  

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

Workers Reach Two Million Man-Hours Workers Reach Two Million Man-Hours Without a Lost-Time Accident CARLSBAD, N.M., February 22, 2001 - Workers at the U.S. Department of Energy's (DOE) Waste Isolation Pilot Plant (WIPP) reached a safety milestone Feb. 19 by working two million man-hours without a lost-time accident. According to the National Safety Council, facilities with the same industry code as WIPP lose an average of 20.6 workdays (or 164.8 man-hours) a year to accidents. "Safety is at the core of all WIPP operations," said Dr. Inés Triay, Manager of DOE's Carlsbad Field Office. "We are particularly pleased that WIPP workers reached the two million mark during the time in which they mined a new panel and increased shift work." "To make safety a number one priority means more than creating a safe

293

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Kenya. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Kenya solar SWERA TILT UNEP Data application/zip icon Download data (zip, 3.9 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

294

DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to  

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

95 Million Hours of Supercomputing 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry January 8, 2007 - 9:59am Addthis WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) Office of Science announced today that 45 projects were awarded a total of 95 million hours of computing time on some of the world's most powerful supercomputers as part of its 2007 Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. DOE's Under Secretary for Science Dr. Raymond Orbach presented the awards at the Council on Competitiveness in Washington, DC. Supercomputers are playing an increasingly important role in scientific

295

A simple method to downscale daily wind statistics to hourly wind data  

E-Print Network (OSTI)

Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy location with 3285 days (9 years) measured hourly wind speed data were used to validate the downscaling method. The results showed that the overall agreement between observed and simulated cumulative wind speed probability distributions appears excellent, especially for the wind speeds greater than 5 m s-1 range (erosive wind speed). The results further revealed that the values of daily average erosive wind power density (AWPD) calculated from generated wind speeds fit the counterparts computed from measured wind speeds well with high models' efficiency (Nash-Sutcliffe coefficient). So that the hourly wind speed data can be predicted from daily average and maximu...

Guo, Zhongling

2013-01-01T23:59:59.000Z

296

The Relationships between Network Lightning Surface and Hourly Observations of Thunderstorms  

Science Conference Proceedings (OSTI)

Relationships were established between lightning location data and surface hourly observations of thunderstorms for 132 stations in the northeastern United States. The relationships are based on statistics derived from 2 2 contingency tables ...

Ronald M. Reap; Richard E. Orville

1990-01-01T23:59:59.000Z

297

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.41  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.41 meets Internal Revenue Code 179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

298

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.31  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.31 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

299

Cluster Analysis of Hourly Wind Measurements to Reveal Synoptic Regimes Affecting Air Quality  

Science Conference Proceedings (OSTI)

A clustering algorithm is developed to study hourly, ground-level wind measurements obtained from a network of monitoring stations positioned throughout the San Francisco Bay Area of California. A statistical model based on principal components ...

Scott Beaver; Ahmet Palazoglu

2006-12-01T23:59:59.000Z

300

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.40  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.40 meets Internal Revenue Code 179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

Note: This page contains sample records for the topic "hourly emission factors" 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

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.34  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.34 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

302

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.50  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.50 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

303

Improved Quality Assurance for Historical Hourly Temperature and Humidity: Development and Application to Environmental Analysis  

Science Conference Proceedings (OSTI)

Historical hourly surface synoptic (airways) meteorological reports from around the United States have been digitized as part of the NOAA Climate Database Modernization Program. An important component is improvement of quality assurance ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-11-01T23:59:59.000Z

304

How much carbon dioxide (CO 2 ) is produced per kilowatt-hour ...  

U.S. Energy Information Administration (EIA)

How much carbon dioxide (CO 2) is produced per kilowatt-hour when generating electricity with fossil fuels? You can calculate the amount of CO2 produced per kWh for ...

305

NREL Develops Sub-Hour Solar Power Data Set (Fact Sheet), NREL...  

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

Sub-Hour Solar Power Data Set NREL data will help utilities incorporate solar energy into their electric power systems. Large-scale deployment of solar energy requires a favorable...

306

A novel 2-D model approach for the prediction of hourly solar radiation  

Science Conference Proceedings (OSTI)

In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year solar radiation data that is acquired and collected between August 1, ...

F. Onur Hocaoglu; Nezih Gerek; Mehmet Kurban

2007-06-01T23:59:59.000Z

307

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size (Poster)  

DOE Green Energy (OSTI)

WindPower 2008 conference sponsored by AWEA held in Houston, TX on June 1-4 2008. This poster illustrates the data collected for an analysis of sub-hourly ramping impacts of wind energy and balancing area size.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

308

Hourly Rainfall Changes in Response to Surface Air Temperature over Eastern Contiguous China  

Science Conference Proceedings (OSTI)

In this study, late-summer rainfall over eastern contiguous China is classified according to hourly intensity and the changes of moderate, intense, and extreme precipitation in response to variation of surface air temperature are analyzed. The e-...

Rucong Yu; Jian Li

2012-10-01T23:59:59.000Z

309

6-Hour to 1-Year Variance of Five Global Precipitation Sets  

Science Conference Proceedings (OSTI)

Three-hourly time series of precipitation from three high-resolution precipitation products [Tropical Rainfall Measuring Mission (TRMM) algorithm 3B-42, the Climate Prediction Centers morphing method (CMORPH), and the Precipitation Estimation ...

Alex C. Ruane; John O. Roads

2007-08-01T23:59:59.000Z

310

DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to  

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

Office of Science Awards 18 Million Hours of Supercomputing Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing February 1, 2006 - 11:14am Addthis WASHINGTON, D.C. - Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science has awarded a total of 18.2 million hours of computing time on some of the world's most powerful supercomputers to help researchers in government labs, universities, and industry working on projects ranging from designing more efficient engines to better understanding Parkinson's disease. The allocations of computing time are made under DOE's Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program, now in its

311

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Sri Lanka sites from DLR Sri Lanka sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Sri Lanka. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar Sri Lanka SWERA TILT UNEP Data application/zip icon Download data (zip, 368.2 KiB) Quality Metrics Level of Review Some Review Comment

312

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ghana. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI Ghana GHI hourly data solar SWERA TILT TMY UNEP Data application/zip icon ghanaDLRtimeseries_103.zip (zip, 2.7 MiB) Quality Metrics Level of Review Some Review Comment

313

Commercial and Residential Hourly Load Profiles for all TMY3 Locations in  

Open Energy Info (EERE)

and Residential Hourly Load Profiles for all TMY3 Locations in and Residential Hourly Load Profiles for all TMY3 Locations in the United States Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Hourly load profiles are available for over all TMY3 locations in the United States here. Browse files in this dataset, accessible as individual files and as commercial and residential downloadable ZIP files. This dataset is approximately 4.8GiB compressed or 19GiB uncompressed. July 2nd, 2013 update: Residential High and Low load files have been updated from 366 days in a year for leap years to the more general 365 days in a normal year.

314

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Bangladesh sites from DLR Bangladesh sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Bangladesh. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords Bangladesh DLR DNI GHI hourly data solar SWERA UNEP Data application/zip icon Download Data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment

315

Pantex celebrates three million hours without a lost time injury | National  

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

three million hours without a lost time injury | National three million hours without a lost time injury | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Pantex celebrates three million hours without a ... Pantex celebrates three million hours without a lost time injury Posted By Office of Public Affairs NNSA Blog NNSA Blog

316

Determination of Semivariogram Models to Krige Hourly and Daily Solar Irradiance in Western Nebraska  

Science Conference Proceedings (OSTI)

In this paper, linear and spherical semivariogram models were determined for use in kriging hourly and daily solar irradiation for every season of the year. The data used to generate the models were from 18 weather stations in western Nebraska. ...

G. G. Merino; D. Jones; D. E. Stooksbury; K. G. Hubbard

2001-06-01T23:59:59.000Z

317

Optimizing Power Factor Correction  

E-Print Network (OSTI)

The optimal investment for power factor correcting capacitors for Kansas Power and Light Company large power contract customers is studied. Since the billing capacity is determined by dividing the real demand by the power factor (the minimum billing capacity is based on 80 percent of the summer peak billing capacity) and the billing capacity is used to determine the number of kilowatt-hours billed at each pricing tier, the power factor affects both the demand and the energy charge. There is almost no information available in the literature concerning recommended power factor corrections for this situation. The general advice commonly given in the past has been that power factor should be corrected to above 0.9 if it is below that value to begin with, but that does not take into account the facts of the situation studied here. Calculations relevant to a commercial consumer of electricity were made for demands of 200, 400, 800, 1,600, 3,200, and 6,400 kW and monthly energy consumption periods of 100, 150, 200, 300, 400, and 500 hours for several capacitor purchase and installation costs. The results are displayed in a series of graphs that enable annual cost savings and payback periods to be readily determined over a range of commonly encountered parameter values. It is found that it is often economically advantageous to correct a power factor to near unity.

Phillips, R. K.; Burmeister, L. C.

1986-06-01T23:59:59.000Z

318

Life Cycle Greenhouse Gas Emissions of Utility-Scale Wind Power: Systematic Review and Harmonization  

Science Conference Proceedings (OSTI)

A systematic review and harmonization of life cycle assessment (LCA) literature of utility-scale wind power systems was performed to determine the causes of and, where possible, reduce variability in estimates of life cycle greenhouse gas (GHG) emissions. Screening of approximately 240 LCAs of onshore and offshore systems yielded 72 references meeting minimum thresholds for quality, transparency, and relevance. Of those, 49 references provided 126 estimates of life cycle GHG emissions. Published estimates ranged from 1.7 to 81 grams CO{sub 2}-equivalent per kilowatt-hour (g CO{sub 2}-eq/kWh), with median and interquartile range (IQR) both at 12 g CO{sub 2}-eq/kWh. After adjusting the published estimates to use consistent gross system boundaries and values for several important system parameters, the total range was reduced by 47% to 3.0 to 45 g CO{sub 2}-eq/kWh and the IQR was reduced by 14% to 10 g CO{sub 2}-eq/kWh, while the median remained relatively constant (11 g CO{sub 2}-eq/kWh). Harmonization of capacity factor resulted in the largest reduction in variability in life cycle GHG emission estimates. This study concludes that the large number of previously published life cycle GHG emission estimates of wind power systems and their tight distribution suggest that new process-based LCAs of similar wind turbine technologies are unlikely to differ greatly. However, additional consequential LCAs would enhance the understanding of true life cycle GHG emissions of wind power (e.g., changes to other generators operations when wind electricity is added to the grid), although even those are unlikely to fundamentally change the comparison of wind to other electricity generation sources.

Dolan, S. L.; Heath, G. A.

2012-04-01T23:59:59.000Z

319

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production - DOE Hydrogen and Fuel Cells Program FY 2012 Annual Progress Report  

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

3 3 FY 2012 Annual Progress Report DOE Hydrogen and Fuel Cells Program Genevieve Saur (Primary Contact), Chris Ainscough. National Renewable Energy Laboratory (NREL) 15013 Denver West Parkway Golden, CO 80401-3305 Phone: (303) 275-3783 Email: genevieve.saur@nrel.gov DOE Manager HQ: Erika Sutherland Phone: (202) 586-3152 Email: Erika.Sutherland@ee.doe.gov Project Start Date: October 1, 2010 Project End Date: Project continuation and direction determined annually by DOE Fiscal Year (FY) 2012 Objectives Corroborate recent wind electrolysis cost studies using a * more detailed hour-by-hour analysis. Examine consequences of different system configuration * and operation for four scenarios, at 42 sites in five

320

EIA - Greenhouse Gas Emissions - Methane Emissions  

Gasoline and Diesel Fuel Update (EIA)

oil production dropping by 28 percent from 1990 to 2009, methane emissions from petroleum exploration and production have declined by the same percentage. Residential wood...

Note: This page contains sample records for the topic "hourly emission factors" 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

EIA - Greenhouse Gas Emissions - Carbon Dioxide Emissions  

U.S. Energy Information Administration (EIA)

Nonfuel uses of fossil fuels (for purposes other than their energy value) create carbon dioxide emissions and also sequester carbon in nonfuel products, ...

322

100 Hour test of the pressurized woodchip-fired gravel bed combustor  

DOE Green Energy (OSTI)

Combustion of wood chips in a packed bed combustor for a gas turbine cogeneration system is described. A discussion on flue gas emissions and mass balances is included.

Ragland, K.W.; Aerts, D.J.

1994-08-01T23:59:59.000Z

323

Trends in On-Road Vehicle Emissions of Ammonia  

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

Trends in On-Road Vehicle Emissions of Ammonia Trends in On-Road Vehicle Emissions of Ammonia Title Trends in On-Road Vehicle Emissions of Ammonia Publication Type Journal Article Year of Publication 2008 Authors Kean, Andrew J., David Littlejohn, George Ban-Weiss, Robert A. Harley, Thomas W. Kirchstetter, and Melissa M. Lunden Journal Atmospheric Environment Abstract Motor vehicle emissions of ammonia have been measured at a California highway tunnel in the San Francisco Bay area. Between 1999 and 2006, light-duty vehicle ammonia emissions decreased by 38 ± 6%, from 640 ± 40 to 400 ± 20 mg kg-1. High time resolution measurements of ammonia made in summer 2001 at the same location indicate a minimum in ammonia emissions correlated with slower-speed driving conditions. Variations in ammonia emission rates track changes in carbon monoxide more closely than changes in nitrogen oxides, especially during later evening hours when traffic speeds are highest. Analysis of remote sensing data of Burgard et al. (Environ Sci. Technol. 2006, 40, 7018-7022) indicates relationships between ammonia and vehicle model year, nitrogen oxides, and carbon monoxide. Ammonia emission rates from diesel trucks were difficult to measure in the tunnel setting due to the large contribution to ammonia concentrations in a mixed-traffic bore that were assigned to light-duty vehicle emissions. Nevertheless, it is clear that heavy-duty diesel trucks are a minor source of ammonia emissions compared to light-duty gasoline vehicles.

324

Pollution Markets with Imperfectly Observed Emissions  

E-Print Network (OSTI)

Another example with similar monitoring requirements is the Southern California RECLAIM program that implemented separated markets for nitrogen oxide (NOx) and SO2 emissions from power plants, refineries and other large stationary sources. This program did... to the allocation of permits, an emission standard specific to buses. It may also be optimal to use 28 I thank one of the referees for pointing out this case and its relevance for the Los Angeles RECLAIM market. 26 different utilization factors (eq) for each group...

Montero, Juan-Pablo

2006-03-14T23:59:59.000Z

325

Emissions of Non-CO2 Greenhouse Gases From the Production and Use of Transportation Fuels and Electricity  

E-Print Network (OSTI)

of biomass (lignin) and biogas for process heat. Theylignin/BTU- fuel) and emission factors for biogas (g/BTU-gas) by biogas-use factors (BTU-gas/BTU-fuel). The emission

Delucchi, Mark

1997-01-01T23:59:59.000Z

326

Assessment of Energy Efficiency Improvement and CO2 Emission Reduction Potentials in the Iron and Steel Industry in China  

E-Print Network (OSTI)

Energy and Emission Paths to 2030. Berkeley, CA: Lawrenceand steel industry for 2010-2030 is estimated to be 251 TWh,emission factors through 2030 were from the factors used in

Hasanbeigi, Ali

2013-01-01T23:59:59.000Z

327

Prediction of clock time hourly global radiation from daily values over  

Open Energy Info (EERE)

Prediction of clock time hourly global radiation from daily values over Prediction of clock time hourly global radiation from daily values over Bangladesh Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for different months are symmetrical about solar noon whereas for many months experimental data show a clear asymmetry. To obtain improved

328

EMISSION AND TRANSMISSION NOISE PROPAGATION IN POSITRON EMISSION COMPUTED TOMOGRAPHY  

E-Print Network (OSTI)

26-29, 1979 EMISSION AND TRANSMISSION NOISE PROPAGATION INLBL-9783 EMISSION AND TRANSMISSION NOISE PROPAGATION INl. LBL-9783 EMISSION AND TRANSMISSION NOISE PROPAGATION IN

Gullberg, G.T.

2010-01-01T23:59:59.000Z

329

2009 Guidelines to Defra / DECC's GHG Conversion Factors for Company Reporting  

E-Print Network (OSTI)

(ANNEX 1) 5 Previous Approach 5 New Fuel Emission Factors 5 III. ELECTRICITY CONVERSION FACTORS (ANNEX 3) 6 UK Grid Electricity 6 CHP Electricity 9 IV. CONVERSION FACTORS FOR PROCESS EMISSIONS (ANNEX 4) 11 EMISSION FACTORS (ANNEX 6) 24 Passenger Cars 24 Taxis 31 Vans 32 Buses 33 Motorcycles 34 Passenger Rail 36

330

Atmospheric particulate emissions from dry abrasive blasting using coal slag  

Science Conference Proceedings (OSTI)

Coal slag is one of the widely used abrasives in dry abrasive blasting. Atmospheric emissions from this process include particulate matter (PM) and heavy metals, such as chromium, lead, manganese, nickel. Quantities and characteristics of PM emissions depend on abrasive characteristics and process parameters. Emission factors are key inputs to estimate emissions. Experiments were conducted to study the effect of blast pressure, abrasive feed rate, and initial surface contamination on total PM (TPM) emission factors for coal slag. Rusted and painted mild steel surfaces were used as base plates. Blasting was carried out in an enclosed chamber, and PM was collected from an exhaust duct using U.S. Environment Protection Agency source sampling methods for stationary sources. Results showed that there is significant effect of blast pressure, feed rate, and surface contamination on TPM emissions. Mathematical equations were developed to estimate emission factors in terms of mass of emissions per unit mass of abrasive used, as well as mass of emissions per unit of surface area cleaned. These equations will help industries in estimating PM emissions based on blast pressure and abrasive feed rate. In addition, emissions can be reduced by choosing optimum operating conditions. 40 refs., 5 figs., 2 tabs.

Bhaskar Kura; Kalpalatha Kambham; Sivaramakrishnan Sangameswaran; Sandhya Potana [University of New Orleans, New Orleans, LA (United States). Department of Civil and Environmental Engineering

2006-08-15T23:59:59.000Z

331

Beyond Tailpipe Emissions  

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

Beyond Tailpipe Emissions Beyond Tailpipe Emissions Greenhouse Gas Emissions for Electric and Plug-In Hybrid Electric Vehicles Driving your vehicle can yield both greenhouse gas (GHG) emissions from your vehicle's tailpipe and GHG emissions related to the production of the fuel used to power your vehicle. For example, activities associated with fuel production such as feedstock extraction, feedstock transport to a processing plant, and conversion of feedstock to motor fuel, as well as distribution of the motor fuel, can all produce GHG emissions. The Fuel Economy and Environment Label provides a Greenhouse Gas Rating, from 1 (worst) to 10 (best), based on the vehicle's tailpipe carbon dioxide emissions only, and this rating does not reflect any GHG emissions associated with fuel production.

332

Excess Emissions (New Mexico)  

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

This regulation establishes requirements for a source whose operation results in an excess emission and to establish criteria for a source whose operation results in an excess emission to claim an...

333

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change  

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

NOAA Awarded 2.6 NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008 WASHINGTON, DC - The U.S. Department of Energy's (DOE) Office of Science will make available more than 10 million hours of computing time for the U.S. Commerce Department's National Oceanic and Atmospheric Administration (NOAA) to explore advanced climate change models at three of DOE's national laboratories as part of a three-year memorandum of understanding on collaborative climate research signed today by the two agencies. NOAA will work with climate change models as well as perform near real-time high-impact (non-production) weather prediction research using computing time on DOE Office of Science resources including two of the world's top

334

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

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

Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours February 27, 2013 - 12:00pm Addthis Mike Tidwell performs a leak check and inspection on propane tanks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks OAK RIDGE, Tenn. - Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM's Oak Ridge cleanup, are approaching a milestone of 4

335

On a QUEST to Save Oakland 8.4 Gigawatt Hours | Department of Energy  

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

On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours August 13, 2010 - 3:38pm Addthis Lorelei Laird Writer, Energy Empowers Derrick Rebello wants to make the downtown corridor of Oakland, California, one of the greenest in the nation. Through the new Downtown Oakland Targeted Measure Saturation Project, he and his company, Quantum Energy Services and Technologies (QUEST), are targeting the city's 120-block business district to make as many buildings as possible highly energy efficient. "The goal is to really leave no stone unturned," said Rebello, president of QUEST. "We are trying to achieve 80 percent participation. And of those participating buildings, we are focusing on getting a 20 percent reduction

336

Developing hourly weather data for locations having only daily weather data  

Science Conference Proceedings (OSTI)

A methodology was developed to modify an hourly TMY weather tape to be representative of a location for which only average daily weather parameters were avilable. Typical hourly and daily variations in solar flux, and other parameters, were needed to properly exercise a computer model to predict the transient performance of a solar controlled greenhouse being designed for Riyadh, Saudi Arabia. The starting point was a TMY tape for Yuma, Arizona, since the design temperatures for summer and winter are nearly identical for Yuma and Riyadh. After comparing six of the most important weather variables, the hourly values on the Yuma tape were individually adjusted to give the same overall daily average conditions as existed in the long-term Riyadh data. Finally, a statistical analysis was used to confirm quantitatively that the daily variations between the long term average values for Riyadh and the modified TMY weather tape for Yuma matched satisfactorily.

Talbert, S.G.; Herold, K.E.; Jakob, F.E.; Lundstrom, D.K.

1983-06-01T23:59:59.000Z

337

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

China sites from DLR China sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in China. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords China DLR DNI GEF GHI solar SWERA UNEP Data application/zip icon Download Data (zip, 953.6 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

338

Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint  

Science Conference Proceedings (OSTI)

High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generating coherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.

Hummon, M.; Ibanez, E.; Brinkman, G.; Lew, D.

2012-12-01T23:59:59.000Z

339

CO2 Emissions - Guinea Bissau  

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

Guinea Bissau Graphics CO2 Emissions from Guinea Bissau Data graphic Data CO2 Emissions from Guinea Bissau image Per capita CO2 Emission Estimates for Guinea Bissau...

340

CO2 Emissions - Peninsular Malaysia  

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

Fossil-Fuel CO2 Emissions Regional Far East Peninsular Malaysia CO2 Emissions from Peninsular Malaysia Data graphic Data CO2 Emissions from Peninsular Malaysia image Per...

Note: This page contains sample records for the topic "hourly emission factors" 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

CO2 Emissions - New Caledonia  

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

New Caledonia Graphics CO2 Emissions from New Caledonia Data graphic Data CO2 Emissions from New Caledonia image Per capita CO2 Emission Estimates for New Caledonia...

342

CO2 Emissions - United Korea  

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

Fossil Fuel CO2 Emissions Regional Centrally Planned Asia United Korea CO2 Emissions from United Korea Data graphic Data CO2 Emissions from United Korea...

343

Alternative fuels performance and emissions characteristics  

DOE Green Energy (OSTI)

This report addresses the question of what problems might be caused by the use of non-petroleum based gasolines in a standard throttle body fuel injection closed-loop spark-ignition internal combustion engine. Five fuels were tested in five separate but physically identical engines. The five fuels were, one baseline unleaded gasoline, two oil shale-derived gasolines, and two coal-derived gasolines. The basic testing of a fuel centered around a 5 hour cycle which was repeated daily until 200 hours of operation were accumulated. The 5 hour cycle was run by alternating every 15 minutes between two distinct conditions. During the accumulation of the 200 hours of operation, the engines were disassembled and inspected nine times. Additionally, thermal efficiency, regulated emissions, unburnt hydrocarbon makeup, catalyst pressure drop, and cylinder pressure versus crankshaft position measurements were made. Negligibly small differences were recorded in the behavior of the fuels, in terms of brake thermal efficiency, regulated emissions, effect on oxygen sensor life, and effect on catalyst life. Noteworthy differences in individual unburnt hydrocarbon concentration in the exhaust were recorded. Noteworthy differences in the behavior of the fuels in terms of producing deposits that caused intake valve sticking are presented in this report. Additionally, the fuels behaved differently when operated in the presence of knock producing deposits. (R+M)/2 octane numbers proved to be a poor indicator of the fuels knocking behavior. R-M octane numbers proved to be a better indicator of knocking behavior. 16 refs., 43 figs., 29 tabs.

Swain, M.R.; Swain, M.N.; Blanco, J.A.; Adt, R.R. Jr.

1987-01-01T23:59:59.000Z

344

Amp-hour counting charge control for photovoltaic hybrid power systems  

SciTech Connect

An amp-hour counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based photovoltaic hybrid charge controller. This work included extensive laboratory and field testing of the charge algorithm on vented lead-antimony and valve regulated lead-acid batteries. The test results have shown that with proper setup amp-hour counting charge control is more effective than conventional voltage regulated sub-array shedding in returning the lead-acid battery to a high state of charge.

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

1997-10-01T23:59:59.000Z

345

Mexico - Greenhouse Gas Emissions Baselines and Reduction Potentials from  

Open Energy Info (EERE)

Greenhouse Gas Emissions Baselines and Reduction Potentials from Greenhouse Gas Emissions Baselines and Reduction Potentials from Buildings Jump to: navigation, search Name Mexico - Greenhouse Gas Emissions Baselines and Reduction Potentials from Buildings Agency/Company /Organization United Nations Environment Programme Sector Energy Focus Area Buildings Topics Baseline projection, GHG inventory, Pathways analysis, Background analysis Resource Type Publications Website http://www.unep.org/sbci/pdfs/ Country Mexico Central America References Greenhouse Emissions Baselines and Reduction Potentials for Buildings[1] Mexico - Greenhouse Gas Emissions Baselines and Reduction Potentials from Buildings Screenshot "This report represents the first comprehensive description of the factors that determine the present and future impacts of residential and commercial

346

Regulation of GHG emissions from transportation fuels: Emission quota versus emission intensity standard  

E-Print Network (OSTI)

Derivation of average cost of emission reduction by blending?) and ? respectively. GHG emissions per unit of blend is, ?+ ?? i Reduction in GHG emissions with respect to unblended

Rajagopal, Deepak

2010-01-01T23:59:59.000Z

347

Galactic Diffuse Emissions  

DOE Green Energy (OSTI)

Interactions of cosmic rays with interstellar nucleons and photons make the Milky Way a bright, diffuse source of high-energy {gamma}-rays. Observationally, the results from EGRET, COMPTEL, and OSSE have now been extended to higher energies by ground-based experiments, with detections of diffuse emission in the Galactic center reported by H.E.S.S. in the range above 100 GeV and of diffuse emission in Cygnus by MILAGRO in the TeV range. In the range above 100 keV, INTEGRAL SPI has found that diffuse emission remains after point sources are accounted for. I will summarize current knowledge of diffuse {gamma}-ray emission from the Milky Way and review some open issues related to the diffuse emission -- some old, like the distribution of cosmic-ray sources and the origin of the 'excess' of GeV emission observed by EGRET, and some recently recognized, like the amount and distribution of molecular hydrogen not traced by CO emission -- and anticipate some of the advances that will be possible with the Large Area Telescope on GLAST. We plan to develop an accurate physical model for the diffuse emission, which will be useful for detecting and accurately characterizing emission from Galactic point sources as well as any Galactic diffuse emission from exotic processes, and for studying the unresolved extragalactic emission.

Digel, Seth W.; /SLAC

2007-10-25T23:59:59.000Z

348

Six- and three-hourly meteorological observations from 223 USSR stations  

SciTech Connect

This document describes a database containing 6- and 3-hourly meteorological observations from a 223-station network of the former Soviet Union. These data have been made available through cooperation between the two principal climate data centers of the United States and Russia: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the All-Russian Research Institute of Hydrometeorological Information -- World Data Centre (RIHMI-WDC) in Obninsk. Station records consist of 6- and 3-hourly observations of some 24 meteorological variables including temperature, weather type, precipitation amount, cloud amount and type, sea level pressure, relative humidity, and wind direction and speed. The 6-hourly observations extend from 1936 to 1965; the 3-hourly observations extend from 1966 through the mid-1980s (1983, 1984, 1985, or 1986; depending on the station). These data have undergone extensive quality assurance checks by RIHMI-WDC, NCDC, and the Carbon Dioxide Information Analysis Center (CDIAC). The database represents a wealth of meteorological information for a large and climatologically important portion of the earth`s land area, and should prove extremely useful for a wide variety of regional climate change studies. These data are available free of charge as a numeric data package (NDP) from CDIAC. The NDP consists of this document and 40 data files that are available via the Internet or on 8mm tape. The total size of the database is {approximately}2.6 gigabytes.

Razuvaev, V.N.; Apasova, E.B.; Martuganov, R.A. [All-Russian Research Inst. of Hydrometeorologicl Information, Obninsk (Russia). World Data Centre; Kaiser, D.P. [Oak Ridge National Lab., TN (United States)

1995-04-01T23:59:59.000Z

349

NETL: News Release - DOE Awards Local Researcher with 3 Million Hours on  

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

8, 2008 8, 2008 DOE Awards Local Researcher with 3 Million Hours on Premier Supercomputer Morgantown, W.Va.-The U.S. Department of Energy's (DOE) Office of Science announced today that a scientist at DOE's National Energy Technology Laboratory (NETL) has been awarded 3 million hours of processor time to conduct advanced research on fossil fuel power plants on one of the world's most powerful supercomputers. http://energy.gov/news/5849.htm The Office of Science awarded the supercomputer hours to Madhava Syamlal, a scientist at NETL, as one of 55 nationwide recipients who received a total of 265 million processor hours. Syamlal, along with his team of co-investigators, will use the powerful Cray XT4 supercomputer at ORNL to vastly increase the speed of coal gasifier simulations to aid in the design and optimization of the power plants. His team is composed of Thomas O'Brien (NETL), Chris Guenther (NETL), Sreekanth Pannala (ORNL), Ramanan Sankaran (ORNL), and Aytekin Gel (Aeolus Research Inc.).

350

Thirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago  

E-Print Network (OSTI)

than 30 countries signed a deal on Tuesday to build the world's most advanced nuclear fusion reactor nuclear reactors, but critics argue it could be at least 50 years before a commercially viable reactorThirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago Representatives of more

351

NREL RSF Weather Data 2011 A csv containing hourly weather data...  

Open Energy Info (EERE)

NREL RSF Weather Data 2011 A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. 2013-02-12T18:36:26Z 2013-02-12T18:36:26Z I am submitting...

352

Sams Teach Yourself Paint Shop Pro 6 in 24 Hours, 1st edition  

Science Conference Proceedings (OSTI)

From the Publisher:This easily accessible tutorial uses a friendly, conversational approach to teach you the basics of Paint Shop Pro 6. With its careful, step-by-step approach, Sams Teach Yourself Paint Shop Pro 6 in 24 Hours makes it easy even for ...

T. Michael Clark; Michael Clark / Kris Tufto

1999-11-01T23:59:59.000Z

353

REDCap 102 Training Session This two-hour session presented by Heather Kim  

E-Print Network (OSTI)

at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis Core, and is offeredREDCap 102 Training Session This two-hour session presented by Heather Kim will explore some Capture) is a secure, web- based application for building and managing online databases for the collection

Illinois at Chicago, University of

354

REDCap 102 Training Session This two-hour session presented by John O'Keefe  

E-Print Network (OSTI)

REDCap team at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis CoreREDCap 102 Training Session This two-hour session presented by John O'Keefe will explore some Data Capture) is a secure, web- based application for building and managing online databases

Illinois at Chicago, University of

355

Climatology of Heavy Rain Events in the United States from Hourly Precipitation Observations  

Science Conference Proceedings (OSTI)

Flash flooding is frequently associated with heavy precipitation (defined here as ?1 in. h?1) occurring over a short period of time. To begin a study of flash floodproducing rain events, the Hourly Precipitation Dataset (HPD) is used to develop ...

Harold E. Brooks; David J. Stensrud

2000-04-01T23:59:59.000Z

356

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong) photon Z boson W bosons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum

Fygenson, Deborah Kuchnir

357

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D neutrino Z0 W + W -g gluon (8) photon Z boson W bosons Quarks Leptons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong force EM force Weak force #12;Par7cles

Fygenson, Deborah Kuchnir

358

Fuel Cell Stacks Still Going Strong After 5,000 Hours  

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

Two fuel cell stacks developed by FuelCell Energy in partnership with Versa Power Systems achieved 5,000 hours of service in February, meeting a goal of the U.S. Department of Energy's Solid State Energy Conversion Alliance.

359

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info  

E-Print Network (OSTI)

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info UT Police.utexas.edu/facilities/services for further information and non-emergency service request forms) Environmental Health & Safety 471-3511 911 emergencies, call 911 or go to a local hospital emergency room. (see healthyhorns.utexas.edu/emergencies

Shvets, Gennady

360

Development of global hourly 0.5-degree land surface air temperature datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle and day-to-day variation are also needed for a variety of applications. Global long-term hourly SAT observational data, ...

Aihui Wang; Xubin Zeng

Note: This page contains sample records for the topic "hourly emission factors" 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

Development of Global Hourly 0.5 Land Surface Air Temperature Datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle is also needed for a variety of applications. Global long-term hourly SAT observational data, however, do not exist. ...

Aihui Wang; Xubin Zeng

2013-10-01T23:59:59.000Z

362

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

Estimates of state energy-related carbon dioxide emissions Estimates of state energy-related carbon dioxide emissions Because energy-related carbon dioxide (CO 2 ) constitutes over 80 percent of total emissions, the state energy-related CO 2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO 2 are based on data contained in the State Energy Data System (SEDS). 1 The state-level emissions estimates are based on energy consumption data for the following fuel categories: three categories of coal (residential/commercial, industrial, and electric power sector); natural gas; and ten petroleum products including-- asphalt and road oil, aviation gasoline, distillate fuel, jet fuel, kerosene, liquefied petroleum gases

363

Emissions Of Greenhouse Gases From Rice Agriculture  

SciTech Connect

This project produced detailed data on the processes that affect methane and nitrous oxide emissions from rice agriculture and their inter-relationships. It defines the shifting roles and potential future of these gases in causing global warming and the benefits and tradeoffs of reducing emissions. The major results include: 1). Mechanisms and Processes Leading to Methane Emissions are Delineated. Our experiments have tested the standard model of methane emissions from rice fields and found new results on the processes that control the flux. A mathematical mass balance model was used to unravel the production, oxidation and transport of methane from rice. The results suggested that when large amounts of organic matter are applied, the additional flux that is observed is due to both greater production and reduced oxidation of methane. 2). Methane Emissions From China Have Been Decreasing Over the Last Two Decades. We have calculated that methane emissions from rice fields have been falling in recent decades. This decrease is particularly large in China. While some of this is due to reduced area of rice agriculture, the bigger effect is from the reduction in the emission factor which is the annual amount of methane emitted per hectare of rice. The two most important changes that cause this decreasing emission from China are the reduced use of organic amendments which have been replaced by commercial nitrogen fertilizers, and the increased practice of intermittent flooding as greater demands are placed on water resources. 3). Global Methane Emissions Have Been Constant For More Than 20 Years. While the concentrations of methane in the atmosphere have been leveling off in recent years, our studies show that this is caused by a near constant total global source of methane for the last 20 years or more. This is probably because as some anthropogenic sources have increased, others, such as the rice agriculture source, have fallen. Changes in natural emissions appear small. 4). Nitrous Oxide Emissions From Rice Fields Increase as Methane Emissions Drop. Inundated conditions favor anaerobic methane production with high emission rates and de-nitrification resulting in modest nitrous oxide emissions. Under drier conditions such as intermittent flooding, methane emissions fall and nitrous oxide emissions increase. Increased nitrogen fertilizer use increases nitrous oxide emissions and is usually accompanied by reduced organic matter applications which decreases methane emissions. These mechanisms cause a generally inverse relationship between methane and nitrous oxide emissions. Reduction of methane from rice agriculture to control global warming comes with tradeoffs with increased nitrous oxide emissions. 5). High Spatial Resolution Maps of Emissions Produced. Maps of methane and nitrous oxide emissions at a resolution of 5 min 5 min have been produced based on the composite results of this research. These maps are necessary for both scientific and policy uses.

M. Aslam K. Khalil

2009-07-16T23:59:59.000Z

364

MOBILE6 Vehicle Emission Modeling Software | Open Energy Information  

Open Energy Info (EERE)

MOBILE6 Vehicle Emission Modeling Software MOBILE6 Vehicle Emission Modeling Software Jump to: navigation, search Tool Summary Name: MOBILE6 Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Transportation Topics: GHG inventory Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.epa.gov/oms/m6.htm Cost: Free References: http://www.epa.gov/oms/m6.htm MOBILE6 is an emission factor model for predicting gram per mile emissions of Hydrocarbons (HC), Carbon Monoxide (CO), Nitrogen Oxides (NOx), Carbon Dioxide (CO2), Particulate Matter (PM), and toxics from cars, trucks, and motorcycles under various conditions. MOBILE6 is an emission factor model for predicting gram per mile emissions of Hydrocarbons (HC), Carbon Monoxide (CO), Nitrogen Oxides (NOx), Carbon

365

Emissivity Correcting Pyrometry of Semiconductor Growth  

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

Emissivity Correcting Pyrometry of Semiconductor Growth Emissivity Correcting Pyrometry of Semiconductor Growth by W. G. Breiland, L. A. Bruskas, A. A. Allerman, and T. W. Hargett Motivation-Temperature is a critical factor in the growth of thin films by either chemical vapor deposition (CVD) or molecular beam epitaxy (MBE). It is particularly important in compound semiconductor growth because one is often challenged to grow materials with specific chemical compositions in order to maintain stringent lattice-matching conditions or to achieve specified bandgap values. Optical pyrometry can be used to measure surface temperatures, but the thin film growth causes significant changes in the emissivity of the surface, leading to severe errors in the pyrometer measurement. To avoid these errors, emissivity changes must be measured and

366

Translating Energy Efficiency into CO2 Emissions Reduction: A Modeling Approach  

Science Conference Proceedings (OSTI)

This paper describes a methodology that EPRI has developed to model the marginal carbon dioxide (CO2) emissions impact of energy efficiency. Though energy efficiency is intuitively recognized to reduce carbon emissions, one barrier to its broader application is the lack of precision in attributing emissions reductions to specific program activities. Coarse estimates based on utilities' average emissions factors, while straightforward to calculate, do not provide enough specificity on emissions reductions...

2011-12-30T23:59:59.000Z

367

Carbon Emissions: Paper Industry  

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

Paper Industry Paper Industry Carbon Emissions in the Paper Industry The Industry at a Glance, 1994 (SIC Code: 26) Total Energy-Related Emissions: 31.6 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 8.5% Total First Use of Energy: 2,665 trillion Btu -- Pct. of All Manufacturers: 12.3% -- Pct. Renewable Energy: 47.7% Carbon Intensity: 11.88 MMTC per quadrillion Btu Renewable Energy Sources (no net emissions): -- Pulping liquor: 882 trillion Btu -- Wood chips and bark: 389 trillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 31.6 Net Electricity 11.0

368

Carbon Emissions: Food Industry  

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

Food Industry Food Industry Carbon Emissions in the Food Industry The Industry at a Glance, 1994 (SIC Code: 20) Total Energy-Related Emissions: 24.4 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 6.6% Total First Use of Energy: 1,193 trillion Btu -- Pct. of All Manufacturers: 5.5% Carbon Intensity: 20.44 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 24.4 Net Electricity 9.8 Natural Gas 9.1 Coal 4.2 All Other Sources 1.3 Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998

369

Carbon Emissions: Chemicals Industry  

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

Chemicals Industry Chemicals Industry Carbon Emissions in the Chemicals Industry The Industry at a Glance, 1994 (SIC Code: 28) Total Energy-Related Emissions: 78.3 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 21.1% -- Nonfuel Emissions: 12.0 MMTC Total First Use of Energy: 5,328 trillion Btu -- Pct. of All Manufacturers: 24.6% Energy Sources Used As Feedstocks: 2,297 trillion Btu -- LPG: 1,365 trillion Btu -- Natural Gas: 674 trillion Btu Carbon Intensity: 14.70 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 78.3 Natural Gas 32.1

370

NETL: Mercury Emissions Control  

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

Home > Technologies > Coal & Power Systems > Innovations for Existing Plants > Mercury Emissions Control Home > Technologies > Coal & Power Systems > Innovations for Existing Plants > Mercury Emissions Control Innovations for Existing Plants Mercury Emissions Control NETL managed the largest funded research program in the country to develop an in-depth understanding of fossil combustion-based mercury emissions. The program goal was to develop effective control options that would allow generators to comply with regulations. Research focus areas included measurement and characterization of mercury emissions, as well as the development of cost-effective control technologies for the U.S. coal-fired electric generating industry. Control Technologies Field Testing Phase I & II Phase III Novel Concepts APCD Co-benefits Emissions Characterization

371

emissions | OpenEI  

Open Energy Info (EERE)

emissions emissions Dataset Summary Description The New Zealand Ministry of Economic Development publishes an annual Energy Outlook, which presents projections of New Zealand's future energy supply, demand, prices and greenhouse gas emissions. The principle aim of these projections is to inform the national energy debate. Included here are the model results for emissions. The spreadsheet provides an interactive tool for selecting which model results to view, and which scenarios to evaluate; full model results for each scenario are also included. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated December 15th, 2010 (4 years ago) Keywords emissions New Zealand projections Data application/vnd.ms-excel icon 2010 New Zealand emissions outlook (xls, 1.2 MiB)

372

Reducing Diesel Engine Emissions  

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

Reducing Reducing Diesel Engine Emissions 2 0 1 0 Green TransporTaTion TechnoloGies Compared to traditional gasoline engines, diesel engines require less maintenance, generate energy more efficiently, and produce less carbon dioxide emissions. But when uncontrolled, diesel engines churn out harmful emissions like particu- late matter (PM) and nitrogen oxides (NO x ). Researchers at Argonne National Laboratory are currently working to develop

373

Mercury Emissions Data Analyses  

Science Conference Proceedings (OSTI)

This report contains the visual materials included in presentations given at Research Triangle Park, North Carolina on April 3, 2002. Participants included representatives from EPRI, DOE, RMB Consulting & Research, and EERC. The MACT Working Group gave a presentation on "Variability in Hg Emissions Based on SCEM Data." The visuals in the report are a set of graphs documenting results of mercury emissions over time, using semi-continuous emissions monitor (SCEM) data. The EPA Utility Working Group gave a ...

2002-05-02T23:59:59.000Z

374

Emissions Benefits of Distributed Generation in the Texas Market  

Science Conference Proceedings (OSTI)

One potential benefit of distributed generation (DG) is a net reduction in air emissions. While DG will produce emissions, most notably carbon dioxide and nitrogen oxides, the power it displaces might have produced more. This study used a system dispatch model developed at Oak Ridge National Laboratory to simulate the 2012 Texas power market with and without DG. This study compares the reduction in system emissions to the emissions from the DG to determine the net savings. Some of the major findings are that 85% of the electricity displaced by DG during peak hours will be simple cycle natural gas, either steam or combustion turbine. Even with DG running as baseload, 57% of electricity displaced will be simple cycle natural gas. Despite the retirement of some gas-fired steam units and the construction of many new gas turbine and combined cycle units, the marginal emissions from the system remain quite high (1.4 lb NO{sub x}/MWh on peak and 1.1 lb NO{sub x}/MWh baseload) compared to projected DG emissions. Consequently, additions of DG capacity will reduce emissions in Texas from power generation in 2012. Using the DG exhaust heat for combined heat and power provides an even greater benefit, since it eliminates further boiler emissions while adding none over what would be produced while generating electricity. Further studies are warranted concerning the robustness of the result with changes in fuel prices, demands, and mixes of power generating technology.

Hadley, SW

2005-06-16T23:59:59.000Z

375

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.40  

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

Hourly Analysis Program (HAP) version 4.40.0.61 Hourly Analysis Program (HAP) version 4.40.0.61 On this page you'll find information about the HAP version 4.40.0.61 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

376

Effects of electric utility residential conservation programs on hourly load profiles  

SciTech Connect

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

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

1983-01-01T23:59:59.000Z

377

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R.  

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

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Stations (NDP-048) DOI: 10.3334/CDIAC/cli.ndp048 image PDF image Data image Previous Data (data through 1990, published in 1998) image Investigators Contributed by V. N. Razuvaev, E. B. Apasova, R. A. Martuganov All-Russian Research Institute of Hydrometeorological Information-World Data Centre Obninsk, Russia Prepared by D. P. Kaiser and G. P. Marino (contact: kaiserdp@ornl.gov) Carbon Dioxide Information Analysis Center Oak Ridge National Laboratory Oak Ridge, Tennessee Date Published: November 2007

378

Y-12 Construction hits one million-hour mark without a lost-time accident |  

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

Construction hits one ... Construction hits one ... Y-12 Construction hits one million-hour mark without a lost-time accident Posted: August 30, 2012 - 5:30pm The B&W Y-12 Direct-Hire Construction team has worked one million hours, covering a 633-day period, without a lost-time injury. Some 285 people including building trade crafts, non-manual staff and escorts worked without a lost-time accident during this period. The Construction team's last lost workday was in September 2010. A celebration was held today to mark the safety milestone. Senior leaders from National Nuclear Security Administration Production Office (NPO) and B&W Y-12 were on hand to congratulate the workers. Jim Haynes, B&W Y-12 senior vice president and deputy general manager for projects, said, "Congratulations are due the men and women of

379

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster  

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

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Berger, ME; Leonard, RB; Ricks, RC; Wiley, AL; Lowry, PC; Flynn, DF Abstract: This article addresses the problems emergency physicians would face in the event of a nuclear or radiological catastrophe. It presents information about what needs to be done so that useful information will be gathered and reasonable decisions made in the all important triage period. A brief introductory explanation of radiation injury is followed by practical guides for managing the focused history, physical exam, laboratory tests, initial treatment, and disposition of victims of acute radiation syndrome and combined injury. The guides are not intended to serve as a hospital's "emergency

380

Hourly analysis of a very large topically categorized web query log  

E-Print Network (OSTI)

We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a generalpurpose commercial web search service. Previously, query logs have been studied from a single, cumulative view. In contrast, our analysis shows changes in popularity and uniqueness of topically categorized queries across the hours of the day. We examine query traffic on an hourly basis by matching it against lists of queries that have been topically pre-categorized by human editors. This represents 13 % of the query traffic. We show that query traffic from particular topical categories differs both from the query stream as a whole and from other categories. This analysis provides valuable insight for improving retrieval effectiveness and efficiency. It is also relevant to the development of enhanced query disambiguation, routing, and caching algorithms.

Steven M. Beitzel; Eric C. Jensen; Abdur Chowdhury; David Grossman; Ophir Frieder

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly emission factors" 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

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.41  

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

Hourly Analysis Program (HAP) version 4.41.0.6 Hourly Analysis Program (HAP) version 4.41.0.6 On this page you'll find information about the HAP version 4.41.0.6 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

382

Forest County Potawatomi Tribe Cuts Emissions, Promotes Green Growth |  

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

Forest County Potawatomi Tribe Cuts Emissions, Promotes Green Forest County Potawatomi Tribe Cuts Emissions, Promotes Green Growth Forest County Potawatomi Tribe Cuts Emissions, Promotes Green Growth February 23, 2012 - 6:29pm Addthis The Forest County Potawatomi Tribe's solar system is providing heating, cooling, and electricity to the Tribe's administration building in Milwaukee, Wisconsin. Photo from the Forest County Potawatomi Tribe. The Forest County Potawatomi Tribe's solar system is providing heating, cooling, and electricity to the Tribe's administration building in Milwaukee, Wisconsin. Photo from the Forest County Potawatomi Tribe. Project Benefits Produce approximately 35,000 kilowatt-hours of clean electricity annually Reduce carbon dioxide emissions by an estimated 41 tons per year Preserve and increase local jobs for tribal members and others

383

Fuel Mix and Emissions Disclosure | Department of Energy  

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

You are here You are here Home » Fuel Mix and Emissions Disclosure Fuel Mix and Emissions Disclosure < Back Eligibility Utility Program Info State Maryland Program Type Generation Disclosure Provider Maryland Public Service Commission Maryland's 1999 electric utility restructuring legislation requires all electric companies and electricity suppliers to provide customers with details regarding the fuel mix and emissions of electric generation. Emissions data must be expressed in terms of pounds per megawatt-hour (MWh). This information must be provided to customers every six months and annually to the Maryland Public Service Commission (PSC). Past reports are available in Case No. 8738 through the [http://webapp.psc.state.md.us/Intranet/Casenum/caseform_new.cfm? PSC's

384

Fuel Mix and Emissions Disclosure | Department of Energy  

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

Fuel Mix and Emissions Disclosure Fuel Mix and Emissions Disclosure Fuel Mix and Emissions Disclosure < Back Eligibility Utility Program Info State Michigan Program Type Generation Disclosure Provider Michigan Public Service Commission Michigan's Customer Choice and Electric Reliability Act of 2000 (P.A. 141) requires electric suppliers to disclose to customers details related to the fuel mix and emissions, in pounds per megawatt-hour (MWh) of electric generation. Electric suppliers must provide this information to customers twice annually in a standardized, uniform format. The Michigan Public Service Commission (MPSC) staff must calculate the regional electricity generation and environmental characteristics and make it available to be used by the state's generation providers. The web site above describes the

385

Greenhouse Gas Emission Measurements  

Science Conference Proceedings (OSTI)

... climate change as a serious problem and that greenhouse gas (GHG ... models to determine the baselines of GHG emissions and the effect of GHG ...

2010-10-05T23:59:59.000Z

386

SF6 Emissions Overview  

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

SF 6 Emissions Overview Joanna Eckstein and Penny Avery Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned...

387

Greenhouse Gas Emissions  

Science Conference Proceedings (OSTI)

Others wanting to learn more about greenhouse gas emissions and their reduction. About the ... based on ensuring the sustainability of finite natural resources.

388

NETL: Emissions Characterization - CMU Emissions Characterization Study  

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

Source Emissions Characterization Study Source Emissions Characterization Study The emissions characterization study is being performed in conjunction with the Pittsburgh Air Quality Study [PDF-744KB], a larger effort that includes ambient measurements and atmospheric modeling of the Pittsburgh region. The main objectives of this portion of the study are: To achieve advanced characterization of the PM in the Pittsburgh region. Measurements include the PM size, surface, volume, and mass distribution; chemical composition as a function of size and on a single particle basis; temporal and spatial variability. To obtain accurate current fingerprints of the major primary PM sources in the Pittsburgh region using traditional filter-based sampling and state-of-the-art techniques such as dilution sampling and single particle analysis using mass spectroscopy and LIBS.

389

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

Science Conference Proceedings (OSTI)

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

2001-12-20T23:59:59.000Z

390

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

Science Conference Proceedings (OSTI)

Download report 1006016 for FREE. Demand trading can be an effective hedge against wholesale power price spikes during times of constraint. However, it also can be a high-risk venture. Profitability depends on reliable demand forecasting. Short-term load forecasting (STLF) can minimize the risks of day-ahead purchasing by providing better predictions at the system level. Additionally, STLF can reduce hour-ahead spot market risks and directly support demand trading by providing more accurate assessments o...

2001-12-20T23:59:59.000Z

391

Advanced Instrumentation for Positron Emission Tomography [PET  

DOE R&D Accomplishments (OSTI)

This paper summarizes the physical processes and medical science goals that underlay modern instrumentation design for Positron Emission Tomography. The paper discusses design factors such as detector material, crystalphototube coupling, shielding geometry, sampling motion, electronics design, time-of-flight, and the interrelationships with quantitative accuracy, spatial resolution, temporal resolution, maximum data rates, and cost.

Derenzo, S. E.; Budinger, T. F.

1985-04-00T23:59:59.000Z

392

An Hourly-Based Performance Comparison of an Integrated Micro-Structural  

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

An Hourly-Based Performance Comparison of an Integrated Micro-Structural An Hourly-Based Performance Comparison of an Integrated Micro-Structural Perforated Shading Screen with Standard Shading Systems Title An Hourly-Based Performance Comparison of an Integrated Micro-Structural Perforated Shading Screen with Standard Shading Systems Publication Type Journal Article LBNL Report Number LBNL-5521E Year of Publication 2012 Authors Appelfeld, David, Andrew McNeil, and Svend Svendsen Journal Energy and Buildings Volume 50 Issue July 2012 Keywords building performance modelling, complex fenestration system, daylight, shading, solar gains Abstract This article evaluates the performance of an integrated micro structural perforated shading screen (MSPSS). Such a system maintains a visual connection with the outdoors while imitating the shading functionality of a venetian blind. Building energy consumption is strongly influenced by the solar gains and heat transfer through the transparent parts of the fenestration systems. MSPSS is angular-dependent shading device that provides an effective strategy in the control of daylight, solar gains and overheating through windows. The study focuses on using direct experimental methods to determine bi-directional transmittance properties of shading systems that are not included as standard shading options in readily available building performance simulation tools. The impact on the indoor environment, particularly temperature and daylight were investigated and compared to three other static complex fenestration systems. The bi-directional description of the systems was used throughout the article. The simulations were validated against outdoor measurements of solar and light transmittance.

393

Identifying Challenging Operating Hours for Solar Intergration in the NV Energy System  

Science Conference Proceedings (OSTI)

Abstract-- In this paper, the ability of the Nevada (NV) Energy generation fleet to meet its system balancing requirements under different solar energy penetration scenarios is studied. System balancing requirements include capacity, ramp rate, and ramp duration requirements for load following and regulation. If, during some operating hours, system capability is insufficient to meet these requirements, there is certain probability that the balancing authoritys control and reliability performance can be compromised. These operating hours are considered as challenging hours. Five different solar energy integration scenarios have been studied. Simulations have shown that the NV Energy system will be potentially able to accommodate up to 942 MW of solar photovoltaic (PV) generation. However, the existing generation scheduling procedure should be adjusted to make it happen. Fast-responsive peaker units need to be used more frequently to meet the increasing ramping requirements. Thus, the NV Energy system operational cost can increase. Index TermsSolar Generation, Renewables Integration, Balancing Process, Load Following, Regulation.

Etingov, Pavel V.; Lu, Shuai; Guo, Xinxin; Ma, Jian; Makarov, Yuri V.; Chadliev, Vladimir; Salgo, Richard

2012-05-09T23:59:59.000Z

394

Optimizing hourly hydro operations at the Salt Lake City Area integrated projects  

DOE Green Energy (OSTI)

The Salt Lake City Area (SLCA) office of the Western Area Power Administration (Western) is responsible for marketing the capacity and energy generated by the Colorado Storage, Collbran, and Rio Grande hydropower projects. These federal resources are collectively called the Salt Lake City Area Integrated Projects (SLCA/IP). In recent years, stringent operational limitations have been placed on several of these hydropower plants including the Glen Canyon Dam, which accounts for approximately 80% of the SLCA/IP resources. Operational limitations on SLCA/IP hydropower plants continue to evolve as a result of decisions currently being made in the Glen Canyon Dam Environmental Impact Statement (EIS) and the Power Marketing EIS. To analyze a broad range of issues associated with many possible future operational restrictions, Argonne National Laboratory (ANL), with technical assistance from Western has developed the Hydro LP (Linear Program) Model. This model simulates hourly operations at SLCA/IP hydropower plants for weekly periods with the objective of maximizing Western`s net revenues. The model considers hydropower operations for the purpose of serving SLCA firm loads, loads for special projects, Inland Power Pool (IPP) spinning reserve requirements, and Western`s purchasing programs. The model estimates hourly SLCA/IP generation and spot market activities. For this paper, hourly SLCA/IP hydropower plant generation is simulated under three operational scenarios and three hydropower conditions. For each scenario an estimate of Western`s net revenue is computed.

Veselka, T.D.; Hamilton, S. [Argonne National Lab., IL (United States); McCoy, J. [Western Area Power Administration, Salt Lake City, UT (United States)

1995-06-01T23:59:59.000Z

395

Reliability analysis of solar photovoltaic system using hourly mean solar radiation data  

Science Conference Proceedings (OSTI)

This paper presents the hourly mean solar radiation and standard deviation as inputs to simulate the solar radiation over a year. Monte Carlo simulation (MCS) technique is applied and MATLAB program is developed for reliability analysis of small isolated power system using solar photovoltaic (SPV). This paper is distributed in two parts. Firstly various solar radiation prediction methods along with hourly mean solar radiation (HMSR) method are compared. The comparison is carried on the basis of predicted electrical power generation with actual power generated by SPV system. Estimation of solar photovoltaic power using HMSR method is close to the actual power generated by SPV system. The deviation in monsoon months is due to the cloud cover. In later part of the paper various reliability indices are obtained by HMSR method using MCS technique. Load model used is IEEE-RTS. Reliability indices, additional load hours (ALH) and additional power (AP) reduces exponentially with increase in load indicates that a SPV source will offset maximum fuel when all of its generated energy is utilized. Fuel saving calculation is also investigated. Case studies are presented for Sagardeep Island in West Bengal state of India. (author)

Moharil, Ravindra M. [Department of Electrical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra (India); Kulkarni, Prakash S. [Department of Electrical Engineering, Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur 440011, Maharashtra (India)

2010-04-15T23:59:59.000Z

396

Alternative fuel performance and emissions characteristics  

DOE Green Energy (OSTI)

This report addresses the question of what problems might be caused by the use of non-petroleum based gasolines in a standard throttle body fuel injection closed-loop spark-ignition internal combustion engine. Five fuels were tested in five separate but physically identical engines. The five fuels were, one baseline unleaded gasoline, two oil shale-derived gasolines, and two coal-derived gasolines. The basic testing of a fuel centered around a 5 hour cycle which was repeated daily until 200 hours of operation were accumulated. The 5 hour cycle was run by alternating every 15 minutes between two distinct conditions. The engines were disassembled and inspected nine times. Additionally, thermal efficiency, regulated emissions, unburnt hydrocarbon makeup, catalyst pressure drop, and cylinder pressure versus crankshaft position measurements were made. Noteworthy differences in the behavior of the fuels in terms of producing deposits that caused intake valve sticking are presented in this report. Additionally, the fuels behaved differently when operated in the presence of knock producing deposits. (R + M)/2 octane numbers proved to be a poor indicator of the fuels knocking behavior. R-M octane numbers proved to be a better indicator of knocking behavior. 16 refs., 43 figs., 29 tabs.

Not Available

1987-01-01T23:59:59.000Z

397

Control of CO2 Emissions of China under Kyoto Protocol  

Science Conference Proceedings (OSTI)

the paper explores the major factors that affect CO2 emissions by the analysis for time-series of China since Chinese innovation and opening. The analysis concludes that there is no inverse-U curve between economic development and CO2 emissions. The ...

Zhao Yong

2009-10-01T23:59:59.000Z

398

Catalysts for Lean Engine Emission Control - Emissions & Emission Controls  

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

Catalysts for Lean Engine Emission Control Catalysts for Lean Engine Emission Control Catalysts for controlling NOx from lean engines are studied in great detail at FEERC. Lean NOx Traps (LNTs) and Selective Catalytic Reduction (SCR) are two catalyst technologies of interest. Catalysts are studied from the nanoscale to full scale. On the nanoscale, catalyst powders are analyzed with chemisorptions techniques to determine the active metal surface area where catalysis occurs. Diffuse Reflectance Infrared Fourier Transform (DRIFT) spectroscopy is used to observe the chemical reactions occurring on the catalyst surface during catalyst operation. Both powder and coated catalyst samples are analyzed on bench flow reactors in controlled simulated exhaust environments to better characterize the chemical

399

Air Emission Inventory for the INEEL -- 1999 Emission Report  

Science Conference Proceedings (OSTI)

This report presents the 1999 calendar year update of the Air Emission Inventory for the Idaho National Engineering and Environmental Laboratory (INEEL). The INEEL Air Emission Inventory documents sources and emissions of nonradionuclide pollutants from operations at the INEEL. The report describes the emission inventory process and all of the sources at the INEEL, and provides nonradionuclide emissions estimates for stationary sources.

Zohner, Steven K

2000-05-01T23:59:59.000Z

400

Energy-related carbon dioxide emissions down in 2011 - Today ...  

U.S. Energy Information Administration (EIA)

Annual energy-related carbon dioxide (CO 2) emissions fell 2.4% in 2011 compared to the level in 2010. Several factors combined to produce this drop, including slower ...

Note: This page contains sample records for the topic "hourly emission factors" 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

Graphene Coating-enabled Surface Plasmon Coupled Emission ...  

Science Conference Proceedings (OSTI)

... phase-matching constraints with tunable nonreciprocity factor and potentially ... ALICE in Wonderland - A Story of Carbon Nanotube Electron Emission in Space .... Methyl Orange with the Magnesium Hydroxide /Titanium Dioxide Composite...

402

Emission properties of explosive field emission cathodes  

Science Conference Proceedings (OSTI)

The research results of the explosive field emission cathode plasma expansion velocity and the initial emission area in the planar diode configuration with cathodes made of graphite, stainless steel, polymer velvet, carbon coated, and carbon fiber (needle type) cathodes are presented. The experiments have been performed at the electron accelerator LIA-200 (200 kV, 100 ns, and 4 kA). The diode voltage has been varied from 28-225 kV, whereas the current density has been varied from 86-928 A/cm{sup 2} with 100 ns pulse duration. The experimentally obtained electron beam diode perveance has been compared with the 1 dimensional Child-Langmuir- law. It was found that initially only a part of the cathode take part in the emission process. The plasma expands at 1.7-5.2 cm/{mu}s for 4 mm anode-cathode gap for various cathode materials. It was found that the plasma expansion velocity increases with the decrease in the cathode diameter. At the beginning of the accelerating pulse, the entire cathode area participates in the electron emission process only for the multiple needle type carbon fiber cathode.

Roy, Amitava; Patel, Ankur; Menon, Rakhee; Sharma, Archana; Chakravarthy, D. P. [Accelerator and Pulse Power Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085 (India); Patil, D. S. [Laser and Plasma Technology Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085 (India)

2011-10-15T23:59:59.000Z

403

Diesel Emission Control -- Sulfur Effects (DECSE) Program; Phase I Interim Date Report No. 3: Diesel Fuel Sulfur Effects on Particulate Matter Emissions  

DOE Green Energy (OSTI)

The Diesel Emission Control-Sulfur Effects (DECSE) is a joint government/industry program to determine the impact of diesel fuel sulfur levels on emission control systems whose use could lower emissions of nitrogen oxides (NO{sub x}) and particulate matter (PM) from on-highway trucks in the 2002--2004 model years. Phase 1 of the program was developed with the following objectives in mind: (1) evaluate the effects of varying the level of sulfur content in the fuel on the emission reduction performance of four emission control technologies; and (2) measure and compare the effects of up to 250 hours of aging on selected devices for multiple levels of fuel sulfur content. This interim report covers the effects of diesel fuel sulfur level on particulate matter emissions for four technologies.

DOE; ORNL; NREL; EMA; MECA

1999-11-15T23:59:59.000Z

404

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

factors for wood residue combustion. Mann and Spath (1997)CH4/NMOC ratio for wood-waste combustion (see below), andN2O/NO x ratio for wood-waste combustion. Emission factors

Delucchi, Mark

2003-01-01T23:59:59.000Z

405

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

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

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

406

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

E-Print Network (OSTI)

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

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

2005-01-01T23:59:59.000Z

407

Fault Detection of Hourly Measurements in District Heat and Electricity Consumption; Feldetektion av Timinsamlade Mtvrden i Fjrrvrme- och Elfrbrukning.  

E-Print Network (OSTI)

?? Within the next years, the amount of consumption data will increase rapidly as old meters will be exchanged in favor of meters with hourly (more)

Johansson, Andreas

2005-01-01T23:59:59.000Z

408

Emissions of trace gases and aerosols during the open combustion of biomass in the laboratory  

E-Print Network (OSTI)

emissions during biomass combustion: Controlling factors andopen burning of biomass in a combustion wind-tunnel, Globalfrom smoldering combustion of biomass measured by open-path

McMeeking, Gavin R.

2009-01-01T23:59:59.000Z

409

The California Climate Action Registry: Development of methodologies for calculating greenhouse gas emissions from electricity generation  

SciTech Connect

The California Climate Action Registry, which will begin operation in Fall 2002, is a voluntary registry for California businesses and organizations to record annual greenhouse gas emissions. Reporting of emissions in the Registry by a participant involves documentation of both ''direct'' emissions from sources that are under the entity's control and ''indirect'' emissions controlled by others. Electricity generated by an off-site power source is considered to be an indirect emission and must be included in the entity's report. Published electricity emissions factors for the State of California vary considerably due to differences in whether utility-owned out-of-state generation, non-utility generation, and electricity imports from other states are included. This paper describes the development of three methods for estimating electricity emissions factors for calculating the combined net carbon dioxide emissions from all generating facilities that provide electricity to Californians. We find that use of a statewide average electricity emissions factor could drastically under- or over-estimate an entity's emissions due to the differences in generating resources among the utility service areas and seasonal variations. In addition, differentiating between marginal and average emissions is essential to accurately estimate the carbon dioxide savings from reducing electricity use. Results of this work will be taken into consideration by the Registry when finalizing its guidance for use of electricity emissions factors in calculating an entity's greenhouse gas emissions.

Price, Lynn; Marnay, Chris; Sathaye, Jayant; Muritshaw, Scott; Fisher, Diane; Phadke, Amol; Franco, Guido

2002-08-01T23:59:59.000Z

410

Seasonal variations in N2O emissions from central California  

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

Seasonal variations in N2O emissions from central California Seasonal variations in N2O emissions from central California Title Seasonal variations in N2O emissions from central California Publication Type Journal Article Year of Publication 2012 Authors Jeong, Seongeun, Chuanfeng Zhao, Arlyn E. Andrews, Edward J. Dlugokencky, Colm Sweeney, Laura Bianco, James M. Wilczak, and Marc L. Fischer Journal Geophysical Research Letters Volume 39 Issue 16 Keywords atmospheric transport, inverse modeling, nitrous oxide Abstract We estimate nitrous oxide (N2O) emissions from Central California for the period of December 2007 through November 2009 by comparing N2O mixing ratios measured at a tall tower (Walnut Grove, WGC) with transport model predictions based on two global a priori N2O emission models (EDGAR32 and EDGAR42). Atmospheric particle trajectories and surface footprints are computed using the Weather Research and Forecasting (WRF) and Stochastic Time-Inverted Lagrangian Transport (STILT) models. Regression analyses show that the slopes of predicted on measured N2O from both emission models are low, suggesting that actual N2O emissions are significantly higher than the EDGAR inventories for all seasons. Bayesian inverse analyses of regional N2O emissions show that posterior annual N2O emissions are larger than both EDGAR inventories by factors of 2.0 ± 0.4 (EDGAR32) and 2.1 ± 0.4 (EDGAR42) with seasonal variation ranging from 1.6 ± 0.3 to 2.5 ± 0.4 for an influence region of Central California within approximately 150 km of the tower. These results suggest that if the spatial distribution of N2O emissions in California follows the EDGAR emission models, then actual emissions are 2.7 ± 0.5 times greater than the current California emission inventory, and total N2O emissions account for 8.1 ± 1.4% of total greenhouse gas emissions from California.

411

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

Science Conference Proceedings (OSTI)

Real-time pricing (RTP) has been advocated as an economically efficient means to send price signals to customers to promote demand response (DR) (Borenstein 2002, Borenstein 2005, Ruff 2002). However, limited information exists that can be used to judge how effectively RTP actually induces DR, particularly in the context of restructured electricity markets. This report describes the second phase of a study of how large, non-residential customers' adapted to default-service day-ahead hourly pricing. The customers are located in upstate New York and served under Niagara Mohawk, A National Grid Company (NMPC)'s SC-3A rate class. The SC-3A tariff is a type of RTP that provides firm, day-ahead notice of hourly varying prices indexed to New York Independent System Operator (NYISO) day-ahead market prices. The study was funded by the California Energy Commission (CEC)'s PIER program through the Demand Response Research Center (DRRC). NMPC's is the first and longest-running default-service RTP tariff implemented in the context of retail competition. The mix of NMPC's large customers exposed to day-ahead hourly prices is roughly 30% industrial, 25% commercial and 45% institutional. They have faced periods of high prices during the study period (2000-2004), thereby providing an opportunity to assess their response to volatile hourly prices. The nature of the SC-3A default service attracted competitive retailers offering a wide array of pricing and hedging options, and customers could also participate in demand response programs implemented by NYISO. The first phase of this study examined SC-3A customers' satisfaction, hedging choices and price response through in-depth customer market research and a Constant Elasticity of Substitution (CES) demand model (Goldman et al. 2004). This second phase was undertaken to answer questions that remained unresolved and to quantify price response to a higher level of granularity. We accomplished these objectives with a second customer survey and interview effort, which resulted in a higher, 76% response rate, and the adoption of the more flexible Generalized Leontief (GL) demand model, which allows us to analyze customer response under a range of conditions (e.g. at different nominal prices) and to determine the distribution of individual customers' response.

Goldman, Chuck; Hopper, Nicole; Bharvirkar, Ranjit; Neenan,Bernie; Boisvert, Dick; Cappers, Peter; Pratt, Donna; Butkins, Kim

2005-08-25T23:59:59.000Z

412

Sub-Hourly Impacts of High Solar Penetrations in the Western United States: Preprint  

DOE Green Energy (OSTI)

This paper presents results of analysis on the sub-hourly impacts of high solar penetrations from the Western Wind and Solar Integration Study Phase 2. Extreme event analysis showed that most large ramps were due to sunrise and sunset events, which have a significant predictability component. Variability in general was much higher in the high-solar versus high-wind scenario. Reserve methodologies that had already been developed for wind were therefore modified to take into account the predictability component of solar variability.

Lew, D.; Brinkman, G.; Ibanez, E.; Hummon, M.; Hodge, B. M.; Heaney, M.; King, J.

2012-09-01T23:59:59.000Z

413

Trends in on-road vehicle emissions of ammonia  

SciTech Connect

Motor vehicle emissions of ammonia have been measured at a California highway tunnel in the San Francisco Bay area. Between 1999 and 2006, light-duty vehicle ammonia emissions decreased by 38 {+-} 6%, from 640 {+-} 40 to 400 {+-} 20 mg kg{sup -1}. High time resolution measurements of ammonia made in summer 2001 at the same location indicate a minimum in ammonia emissions correlated with slower-speed driving conditions. Variations in ammonia emission rates track changes in carbon monoxide more closely than changes in nitrogen oxides, especially during later evening hours when traffic speeds are highest. Analysis of remote sensing data of Burgard et al. (Environ Sci. Technol. 2006, 40, 7018-7022) indicates relationships between ammonia and vehicle model year, nitrogen oxides, and carbon monoxide. Ammonia emission rates from diesel trucks were difficult to measure in the tunnel setting due to the large contribution to ammonia concentrations in a mixed-traffic bore that were assigned to light-duty vehicle emissions. Nevertheless, it is clear that heavy-duty diesel trucks are a minor source of ammonia emissions compared to light-duty gasoline vehicles.

Kean, A.J.; Littlejohn, D.; Ban-Weiss, G.A.; Harley, R.A.; Kirchstetter, T.W.; Lunden, M. M.

2008-07-15T23:59:59.000Z

414

CO2 Emissions - New Zealand  

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

Oceania New Zealand Graphics CO2 Emissions from New Zealand Data graphic Data CO2 Emissions from New Zealand image Per capita CO2 Emission Estimates for New Zealand...

415

CO2 Emissions - Hong Kong  

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

Far East Hong Kong CO2 Emissions from Hong Kong Data graphic Data CO2 Emissions from Hong Kong image Per capita CO2 Emission Estimates for Hong Kong...

416

CO2 Emissions - Wake Island  

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

Fossil Fuel CO2 Emissions Regional Oceania Wake Island Graphics CO2 Emissions from Wake Island Data graphic Data CO2 Emissions from Wake Island image Per capita CO2...

417

NETL: Turbine Projects - Emissions Reduction  

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

Emissions Reduction Turbine Projects Emissions Reduction Pre-Mixer Design for High Hydrogen Fuels DataFact Sheets Low-NOX Emissions in a Fuel Flexible Gas Turbine Combustor Design...

418

Daily/Hourly Hydrosystem Operation : How the Columbia River System Responds to Short-Term Needs.  

SciTech Connect

The System Operation Review, being conducted by the Bonneville Power Administration, the US Army Corps of Engineers, and the US Bureau of Reclamation, is analyzing current and potential future operations of the Columbia River System. One goal of the System Operations Review is to develop a new System Operation Strategy. The strategy will be designed to balance the many regionally and nationally important uses of the Columbia River system. Short-term operations address the dynamics that affect the Northwest hydro system and its multiple uses. Demands for electrical power and natural streamflows change constantly and thus are not precisely predictable. Other uses of the hydro system have constantly changing needs, too, many of which can interfere with other uses. Project operators must address various river needs, physical limitations, weather, and streamflow conditions while maintaining the stability of the electric system and keeping your lights on. It takes staffing around the clock to manage the hour-to-hour changes that occur and the challenges that face project operators all the time.

Columbia River System Operation Review (U.S.)

1994-02-01T23:59:59.000Z

419

NV Energy Large-Scale Photovoltaic Integration Study: Intra-Hour Dispatch and AGC Simulation  

SciTech Connect

The uncertainty and variability with photovoltaic (PV) generation make it very challenging to balance power system generation and load, especially under high penetration cases. Higher reserve requirements and more cycling of conventional generators are generally anticipated for large-scale PV integration. However, whether the existing generation fleet is flexible enough to handle the variations and how well the system can maintain its control performance are difficult to predict. The goal of this project is to develop a software program that can perform intra-hour dispatch and automatic generation control (AGC) simulation, by which the balancing operations of a system can be simulated to answer the questions posed above. The simulator, named Electric System Intra-Hour Operation Simulator (ESIOS), uses the NV Energy southern system as a study case, and models the systems generator configurations, AGC functions, and operator actions to balance system generation and load. Actual dispatch of AGC generators and control performance under various PV penetration levels can be predicted by running ESIOS. With data about the load, generation, and generator characteristics, ESIOS can perform similar simulations and assess variable generation integration impacts for other systems as well. This report describes the design of the simulator and presents the study results showing the PV impacts on NV Energy real-time operations.

Lu, Shuai; Etingov, Pavel V.; Meng, Da; Guo, Xinxin; Jin, Chunlian; Samaan, Nader A.

2013-01-02T23:59:59.000Z

420

Small scale ethanol production: design manual. [10 to 15 gallons per hour  

DOE Green Energy (OSTI)

The purpose of the project was to design, fabricate, and evaluate a small scale continuous ethanol plant. The scope of the study was to satisfy four specific objectives. The first objective was to design a small scale continuous distillation unit capable of producing 10 to 15 gallons per hour of 170 to 190 proof ethanol. A second objective was to economically fabricate the distillation unit. A third objective was to thoroughly evaluate the unit with emphasis on production potential, operation considerations, and energy balance. The fourth objective was to work with the Farm Bureau in identifying an organization that would place the unit in a production environment. The results of the study indicate that the distillation unit is capable of producing and average of 9 to 14 gallons per hour (based on alcohol percent in beer) of 174 proof ethanol. The energy ratio for distillation is a positive 3:1. Once the unit has reached steady state very little operator attention is required with the exception of periodically refluxing. Material cost of the plate column is approximately $5000. The unit could be built by an individual provided he is trained in welding and has the necessary shop equipment. 39 figures, 12 tables.

Adcock, L.E. II; Eley, M.H.; Schroer, B.J.

1981-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly emission factors" 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

Global Fossil Fuel Carbon Emissions - Graphics  

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

Fossil-Fuel CO2 Emissions Global Graphics Global Fossil-Fuel Carbon Emissions - Graphics Carbon Emission Estimates image image Global Per Capita Carbon Emission Estimates...

422

A 25-yr Climatology of Large-Amplitude Hourly Surface Pressure Changes over the Conterminous United States  

Science Conference Proceedings (OSTI)

Hourly surface pressure observations for a 25-yr period (194963; 198493) for the conterminous United States have been used to map the distribution of large hourly pressure changes defined as falls or rises in excess of 4.25 hPa. Initially, 8431 ...

Lorna L. Koppel; Lance F. Bosart; Daniel Keyser

2000-01-01T23:59:59.000Z

423

Emission Standards for Contaminants (Iowa)  

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

These regulations list emissions standards for various contaminants, and contain special requirements for anaerobic lagoons. These regulations also describe alternative emissions limits, which may...

424

CO2 Emissions - Netherland Antilles  

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

Central America, South America, and the Caribbean Nations Netherland Antilles Graphics CO2 Emissions from Netherland Antilles Data graphic Data CO2 Emissions from Netherland...

425

CO2 Emissions - Ryukyu Islands  

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

Oceania Ryukyu Islands Graphics CO2 Emissions from the Ryukyu Islands Data graphic Data CO2 Emissions from the Ryukyu Islands image...

426

CO2 Emissions - Leeward Islands  

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

Central America, South America, and the Caribbean Nations Leeward Islands Graphics CO2 Emissions from Leeward Islands Data graphic Data CO2 Emissions from Leeward Islands image...

427

carbon emissions | OpenEI  

Open Energy Info (EERE)

2010 (4 years ago) Date Updated Unknown Keywords capacity carbon emissions energy demand Energy Generation fossil fuels GHG emissions UK Data applicationvnd.openxmlformats-office...

428

NETL: Advanced NOx Emissions Control  

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

Home > Technologies > Coal & Power Systems > Innovations for Existing Plants > Advanced NOx Emissions Control Innovations for Existing Plants Advanced NOx Emissions Control Adv....

429

Engines - Emissions Assessment  

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

EPRI Hybrid Electric Vehicle Working Group: HEV Costs and Emissions EPRI Hybrid Electric Vehicle Working Group: HEV Costs and Emissions Hybrid electric vehicles (HEVs) are attractive options for increasing vehicle fuel economy and reducing emissions of criteria pollutants and greenhouse gases. Two automobile manufacturers have already introduced HEVs, and other manufacturers are planning to introduce their own models. One available HEV combines mass reduction (also applicable to conventional vehicles) with idle-stop, regenerative braking, and electric-drive assist to achieve a fuel economy more than 2.5 times the current Corporate Average Fuel Economy (CAFE) standard. The second HEV combines idle-stop, regenerative braking, electric assist acceleration, and continuously variable transmission (CVT) to achieve a fuel economy of more than twice the current CAFÉ standard, qualifying as a super ultra-low emissions vehicle (SULEV).

430

Pulsar Emission Spectrum  

E-Print Network (OSTI)

Emission spectrum is calculated for a weak axisymmetric pulsar. Also calculated are the observed spectrum, efficiency, and the observed efficiency. The underlying flow of electrons and positrons turns out to be curiously intricate.

Gruzinov, Andrei

2013-01-01T23:59:59.000Z

431

China Energy and Emissions  

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

China Energy and Emissions Paths to 2030 (2 nd Edition) David Fridley, Nina Zheng, Nan Zhou, Jing Ke, Ali Hasanbeigi, Bill Morrow, and Lynn Price China Energy Group, Energy...

432

Nitrous oxide emissions  

SciTech Connect

The purpose of this paper is to report the effect of key operating parameters, the relative importance of coal type, and the potentially significant coal properties for producing N{sub 2}O emissions in an atmospheric circulating fluidized-bed combustor (CFBC) and pressurized bubbling fluidized-bed combustor (PFBC). The generation of N{sub 2}O emissions is quantified in an empirical model based on the experimental data.

Mann, M.D.; Collings, M.E.; Young, B.C.

1992-12-01T23:59:59.000Z

433

Nitrous oxide emissions  

SciTech Connect

The purpose of this paper is to report the effect of key operating parameters, the relative importance of coal type, and the potentially significant coal properties for producing N[sub 2]O emissions in an atmospheric circulating fluidized-bed combustor (CFBC) and pressurized bubbling fluidized-bed combustor (PFBC). The generation of N[sub 2]O emissions is quantified in an empirical model based on the experimental data.

Mann, M.D.; Collings, M.E.; Young, B.C.

1992-01-01T23:59:59.000Z

434

Field emission electron source  

DOE Patents (OSTI)

A novel field emitter material, field emission electron source, and commercially feasible fabrication method is described. The inventive field emission electron source produces reliable electron currents of up to 400 mA/cm.sup.2 at 200 volts. The emitter is robust and the current it produces is not sensitive to variability of vacuum or the distance between the emitter tip and the cathode. The novel emitter has a sharp turn-on near 100 volts.

Zettl, Alexander Karlwalter (Kensington, CA); Cohen, Marvin Lou (Berkeley, CA)

2000-01-01T23:59:59.000Z

435

Gas Turbine Emissions  

E-Print Network (OSTI)

Historically, preliminary design information regarding gas turbine emissions has been unreliable, particularly for facilities using steam injection and other forms of Best Available Control Technology (BACT). This was probably attributed to the lack of regulatory interest in the 'real world' test results coupled with the difficulties of gathering analogous bench test data for systems employing gas turbines with Heat Recovery Steam Generators (HRSG) and steam injection. It appears that the agencies are getting a better grasp of emissions, but there are still problem areas, particularly CO and unburned hydrocarbon emissions. The lag in data has resulted in the imposition of a CO reactor as BACT for the gas turbine. With the renewed concern about the environment, air permits will have a high profile with offsets being the next fix beyond BACT. 'The manner in which technology developers and electric utilities will share emissions reductions in the coming era of pollution allowance trading is becoming prominent on the agendas of strategic planners at technology vendors and the electric power industry....' (1) Therefore, it becomes increasingly important that the proponents of gas turbine-based facilities establish more reliable data on their proposed emissions. This paper addresses the gas turbine emissions experiences of eight cogeneration plants utilizing: 1) steam injection for both NOx control and power augmentation, 2) CO reactors, 3) selective catalytic reduction units. It also looks at possible regulatory actions.

Frederick, J. D.

1990-06-01T23:59:59.000Z

436

Well-to-Wheels Energy Use, Greenhouse Gas Emissions, and Criteria Pollutant Emissions  

E-Print Network (OSTI)

for a given facility were divided by its throughput to develop emissions factors Distribution curves were and Storage (99%) Transportation, Storage, and Distribution of Gasoline (99.5%) MTBE or EtOH for Gasoline.5%) Steam or Electricity Export NA: North American nNA: non-North American NG: natural gas G.H2 Compression

Argonne National Laboratory

437

Incorporating the Effect of Price Changes on CO2-Equivalent Emissions From Alternative-Fuel Lifecycles: Scoping the Issues  

E-Print Network (OSTI)

of generating fuels displaced by the exported electricity.generating fuels through combustion at power plant Energy: electricityelectricity generation are estimated by multiplying uncontrolled emissions by an emission-reduction factor, for each generating technology and fuel.

Delucchi, Mark

2005-01-01T23:59:59.000Z

438

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.31  

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

1 1 On this page you'll find information about the Hourly Analysis Program (HAP) version 4.31 qualified computer software (www.buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.gov/commercial/). Date Documentation Received by DOE: 17 August 2006 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221 (2) The name, email address, and

439

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.34  

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

4 4 On this page you'll find information about the Hourly Analysis Program (HAP) version 4.34 qualified computer software (www.buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.gov/commercial/). Date Documentation Received by DOE: 10 August 2007 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221 (2) The name, email address, and

440

SF 6432-TM Standard Terms and Conditions for Time and Materials Labor Hour Contracts  

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

TM (04-95) TM (04-95) Sections II & III SECTION II STANDARD TERMS AND CONDITIONS FOR TIME AND MATERIAL OR LABOR HOURS CONTRACTS INDEX OF CLAUSES THE FOLLOWING CLAUSES APPLY TO THIS CONTRACT AS INDICATED UNLESS SPECIFICALLY DELETED, OR EXCEPT TO THE EXTENT THEY ARE SPECIFICALLY SUPPLEMENTED OR AMENDED IN WRITING IN THE SIGNATURE PAGE OR SECTION I. No. Title Page "A" Clauses apply to Requests for Quotation and Contracts at any value A10 Definitions 2 A11 Unclassified Contract 2 A12 Assignment 2 *A13 Releases Void 2 *A14 Notice of Labor Disputes 2 *A16 Contractor's Information 2 A17 Delegated Representatives 2 *A18 Defense Priority and Allocation System 2 A19 Terms and Conditions 3 *A20 Permits 3 *A23 Applicable Law 3 *A24 Contractor Records Retention 3 A25 Commerce in Explosives, Firearms and

Note: This page contains sample records for the topic "hourly emission factors" 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.
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441

High Temperature Solid-Oxide Electrolyzer 2500 Hour Test Results At The Idaho National Laboratory  

DOE Green Energy (OSTI)

The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This paper will provide a summary of experimental results to date for this ongoing test.

Carl Stoots; James O'Brien; Stephen Herring; Keith Condie; Lisa Moore-McAteer; Joseph J. Hartvigsen; Dennis Larsen

2009-11-01T23:59:59.000Z

442

(Project title: E-mc2, A Two-Hour Television Program on NOVA)  

DOE Green Energy (OSTI)

Executive Summary A woman in the early 1700s who became one of Europes leading interpreters of mathematics and a poor bookbinder who became one of the giants of nineteenth-century science are just two of the pioneers whose stories NOVA explored in Einsteins Big Idea. This two-hour documentary premiered on PBS in October 2005 and is based on the best-selling book by David Bodanis, E=mc2: A Biography of the Worlds Most Famous Equation. The film and book chronicle the scientific challenges and discoveries leading up to Einsteins startling conclusion that mass and energy are one, related by the formula E = mc2.

Susanne Simpson

2007-05-07T23:59:59.000Z

443

2500-Hour High Temperature Solid-Oxide Electrolyzer Long Duration Test  

DOE Green Energy (OSTI)

The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This report will provide a summary of experimental results for this long duration test.

C. M. Stoots; J. E. O'Brien; K. G. Condie; L. Moore-McAteer; J. J. Hartvigsen; D. Larsen

2009-11-01T23:59:59.000Z

444

Reducing Open Cell Landfill Methane Emissions with a Bioactive Alternative Daily  

Science Conference Proceedings (OSTI)

Methane and carbon dioxide are formed in landfills as wastes degrade. Molecule-for-molecule, methane is about 20 times more potent than carbon dioxide at trapping heat in the earth's atmosphere, and thus, it is the methane emissions from landfills that are scrutinized. For example, if emissions composed of 60% methane and 40% carbon dioxide were changed to a mix that was 40% methane and 60% carbon dioxide, a 30% reduction in the landfill's global warming potential would result. A 10% methane, 90% carbon dioxide ratio will result in a 75% reduction in global warming potential compared to the baseline. Gas collection from a closed landfill can reduce emissions, and it is sometimes combined with a biocover, an engineered system where methane oxidizing bacteria living in a medium such as compost, convert landfill methane to carbon dioxide and water. Although methane oxidizing bacteria merely convert one greenhouse gas (methane) to another (carbon dioxide), this conversion can offer significant reductions in the overall greenhouse gas contribution, or global warming potential, associated with the landfill. What has not been addressed to date is the fact that methane can also escape from a landfill when the active cell is being filled with waste. Federal regulations require that newly deposited solid waste to be covered daily with a 6 in layer of soil or an alternative daily cover (ADC), such as a canvas tarp. The aim of this study was to assess the feasibility of immobilizing methane oxidizing bacteria into a tarp-like matrix that could be used for alternative daily cover at open landfill cells to prevent methane emissions. A unique method of isolating methanotrophs from landfill cover soil was used to create a liquid culture of mixed methanotrophs. A variety of prospective immobilization techniques were used to affix the bacteria in a tarp-like matrix. Both gel encapsulation of methanotrophs and gels with liquid cores containing methanotrophs were readily made but prone to rapid desiccation. Bacterial adsorption onto foam padding, natural sponge, and geotextile was successful. The most important factor for success appeared to be water holding capacity. Prototype biotarps made with geotextiles plus adsorbed methane oxidizing bacteria were tested for their responses to temperature, intermittent starvation, and washing (to simulate rainfall). The prototypes were mesophilic, and methane oxidation activity remained strong after one cycle of starvation but then declined with repeated cycles. Many of the cells detached with vigorous washing, but at least 30% appeared resistant to sloughing. While laboratory landfill simulations showed that four-layer composite biotarps made with two different types of geotextile could remove up to 50% of influent methane introduced at a flux rate of 22 g m{sup -2} d{sup -1}, field experiments did not yield high activity levels. Tests revealed that there were high hour-to-hour flux variations in the field, which, together with frequent rainfall events, confounded the field testing. Overall, the findings suggest that a methanotroph embedded biotarp appears to be a feasible strategy to mitigate methane emission from landfill cells, although the performance of field-tested biotarps was not robust here. Tarps will likely be best suited for spring and summer use, although the methane oxidizer population may be able to shift and adapt to lower temperatures. The starvation cycling of the tarp may require the capacity for intermittent reinoculation of the cells, although it is also possible that a subpopulation will adapt to the cycling and become dominant. Rainfall is not expected to be a major factor, because a baseline biofilm will be present to repopulate the tarp. If strong performance can be achieved and documented, the biotarp concept could be extended to include interception of other compounds beyond methane, such as volatile aromatic hydrocarbons and chlorinated solvents.

Helene Hilger; James Oliver; Jean Bogner; David Jones

2009-03-31T23:59:59.000Z

445

Thermal Emission from Gamma-Ray Bursts  

E-Print Network (OSTI)

In recent years, there are increasing evidence for a thermal emission component that accompanies the overall non-thermal spectra of the prompt emission phase in GRBs. Both the temperature and flux of the thermal emission show a well defined temporal behavior, a broken power law in time. The temperature is nearly constant during the first few seconds, afterwards it decays with power law index alpha ~0.7. The thermal flux also decays at late times as a power law with index beta ~2.1. This behavior is very ubiquitous, and was observed in a sample currently containing 32 BATSE bursts. These results are naturally explained by considering emission from the photosphere. The photosphere of a relativistically expanding plasma wind strongly depends on the angle to the line of sight, theta. As a result, thermal emission can be seen after tens of seconds. By introducing probability density function P(r,theta) of a thermal photon to escape the plasma at radius r and angle theta, the late time behavior of the flux can be reproduced analytically. During the propagation below the photosphere, thermal photons lose energy as a result of the slight misalignment of the scattering electrons velocity vectors, which leads to photon comoving energy decay epsilon'(r)~r^{-2/3}. This in turn can explain the decay of the temperature observed at late times. Finally, I show that understanding the thermal emission is essential in understanding the high energy, non-thermal spectra. Moreover, thermal emission can be used to directly measure the Lorentz factor of the flow and the initial jet radius.

Asaf Pe'er

2008-09-04T23:59:59.000Z

446

GHG emissions | OpenEI  

Open Energy Info (EERE)

GHG emissions GHG emissions Dataset Summary Description These datasets include GHG and CO2 emissions statistics for the European Union (EU). The statistics are available from the European Commission. Source European Commission Date Released Unknown Date Updated Unknown Keywords Biofuels CO2 emissions EU GHG emissions Data application/vnd.ms-excel icon Total GHG and CO2 Emissions for EU (xls, 853.5 KiB) application/vnd.ms-excel icon GHG Emissions by Sector, all member countries (xls, 2 MiB) application/vnd.ms-excel icon GHG Emissions from Transport, all member countries (xls, 1.3 MiB) application/vnd.ms-excel icon CO2 emissions by sector, all member countries (xls, 2.1 MiB) application/vnd.ms-excel icon CO2 emissions by transport, all member countries (xls, 1.5 MiB)

447

EIA - Greenhouse Gas Emissions Overview  

Gasoline and Diesel Fuel Update (EIA)

Environment Environment Emissions of Greenhouse Gases in the U. S. Release Date: March 31, 2011 | Next Release Date: Report Discontinued | Report Number: DOE/EIA-0573(2009) Greenhouse Gas Emissions Overview Diagram Notes [a] CO2 emissions related to petroleum consumption (includes 64 MMTCO2 of non-fuel-related emissions). [b] CO2 emissions related to coal consumption (includes 0.3 MMTCO2 of non-fuel-related emissions). [c] CO2 emissions related to natural gas consumption (includes 13 MMTCO2 of non-fuel-related emissions). [d] Excludes carbon sequestered in nonfuel fossil products. [e] CO2 emissions from the plastics portion of municipal solid waste (11 MMTCO2) combusted for electricity generation and very small amounts (0.4 MMTCO2) of geothermal-related emissions.

448

Advanced CIDI Emission Control System Development  

DOE Green Energy (OSTI)

Ford Motor Company, with ExxonMobil and FEV, participated in the Department of Energy's (DOE) Ultra-Clean Transportation Fuels Program with the goal to develop an innovative emission control system for light-duty diesel vehicles. The focus on diesel engine emissions was a direct result of the improved volumetric fuel economy (up to 50%) and lower CO2 emissions (up to 25%) over comparable gasoline engines shown in Europe. Selective Catalytic Reduction (SCR) with aqueous urea as the NOx reductant and a Catalyzed Diesel Particulate Filter (CDPF) were chosen as the primary emission control system components. The program expected to demonstrate more than 90% durable reduction in particulate matter (PM) and NOx emissions on a light-duty truck application, based on the FTP-75 drive cycle. Very low sulfur diesel fuel (<15 ppm-wt) enabled lower PM emissions, reduced fuel economy penalty due to the emission control system and improved long-term system durability. Significant progress was made toward a durable system to meet Tier 2 Bin 5 emission standards on a 6000 lbs light-duty truck. A 40% reduction in engine-out NOx emissions was achieved with a mid-size prototype diesel engine through engine recalibration and increased exhaust gas recirculation. Use of a rapid warm-up strategy and urea SCR provided over 90% further NOx reduction while the CDPF reduced tailpipe PM to gasoline vehicle levels. Development work was conducted to separately improve urea SCR and CDPF system durability, as well as improved oxidation catalyst function. Exhaust gas NOx and ammonia sensors were also developed further. While the final emission control system did not meet Tier 2 Bin 5 NOx after 120k mi of aging on the dynamometer, it did meet the standards for HC, NMOG, and PM, and an improved SCR catalyst was shown to have potential to meet the NOx standard, assuming the DOC durability could be improved further. Models of DOC and SCR function were developed to guide the study of several key design factors for SCR systems and aid in the development of urea control strategy for maximum NOx reduction with minimum NH3 slip. A durable co-fueling system was successfully built and tested, with the help of service station nozzle and dispenser manufacturers, for simultaneous delivery of diesel fuel and aqueous urea to the vehicle. The business case for an aqueous urea infrastructure in the US for light-duty vehicles was explored.

Lambert, Christine

2006-05-31T23:59:59.000Z

449

Emissions estimation for lignite-fired power plants in Turkey  

SciTech Connect

The major gaseous emissions (e.g. sulfur dioxide, nitrogen oxides, carbon dioxide, and carbon monoxide), some various organic emissions (e.g. benzene, toluene and xylenes) and some trace metals (e.g. arsenic, cobalt, chromium, manganese and nickel) generated from lignite-fired power plants in Turkey are estimated. The estimations are made separately for each one of the thirteen plants that produced electricity in 2007, because the lignite-fired thermal plants in Turkey are installed near the regions where the lignite is mined, and characteristics and composition of lignite used in each power plant are quite different from a region to another. Emission factors methodology is used for the estimations. The emission factors obtained from well-known literature are then modified depending on local moisture content of lignite. Emission rates and specific emissions (per MWh) of the pollutants from the plants without electrostatic precipitators and flue-gas desulfurization systems are found to be higher than emissions from the plants having electrostatic precipitators and flue -gas desulfurization systems. Finally a projection for the future emissions due to lignite-based power plants is given. Predicted demand for the increasing generation capacity based on the lignite-fired thermal power plant, from 2008 to 2017 is around 30%. 39 refs., 13 figs., 10 tabs.

Nurten Vardar; Zehra Yumurtaci [Yildiz Technical University Mechanical Engineering Faculty, Istanbul (Turkey)

2010-01-15T23:59:59.000Z

450

Carbon Dioxide Emissions of the City Center of Firenze, Italy: Measurement, Evaluation, and Source Partitioning  

Science Conference Proceedings (OSTI)

An eddy covariance station was installed in the city center of Firenze, Italy, to measure carbon fluxes at half-hourly intervals over a mostly homogeneous urban area. Carbon dioxide (CO2) emission observations made over an initial period of 3.5 ...

A. Matese; B. Gioli; F. P. Vaccari; A. Zaldei; F. Miglietta

2009-09-01T23:59:59.000Z

451

Gas turbine plant emissions  

SciTech Connect

Many cogeneration facilities use gas turbines combined with heat recovery boilers, and the number is increasing. At the start of 1986, over 75% of filings for new cogeneration plants included plans to burn natural gas. Depending on the geographic region, gas turbines are still one of the most popular prime movers. Emissions of pollutants from these turbines pose potential risks to the environment, particularly in geographical areas that already have high concentrations of cogeneration facilities. Although environmental regulations have concentrated on nitrogen oxides (NO/sub x/) in the past, it is now necessary to evaluate emission controls for other pollutants as well.

Davidson, L.N.; Gullett, D.E.

1987-03-01T23:59:59.000Z

452

Wind Power Plants and System Operation in the Hourly Time Domain: Preprint  

DOE Green Energy (OSTI)

Because wind is an intermittent power source, the variability may have significant impacts on system operation. Part of the difficulty of analyzing the load following impact of wind is the inadequacy of most modeling frameworks to accurately treat wind plants and the difficulty of untangling causal impacts of wind plants from other dynamic phenomena. This paper presents a simple analysis of an hourly load-following requirement that can be performed without extensive computer modeling. The approach is therefore useful as a first step to quantifying these impacts when extensive modeling and data sets are not available. The variability that wind plants add to the electricity supply must be analyzed in the context of overall system variability. The approach used in this paper does just that. The results show that wind plants do have an impact on load following, but when calculated as a percentage of the installed wind plant capacity, this impact is not large. Another issue is the extent to which wind forecast errors add to imbalance. The relative statistical independence of wind forecast errors and load forecast errors can be used to help quantify the extent to which wind forecast errors impact overall system imbalances.

Milligan, M.

2003-05-01T23:59:59.000Z

453

After-hours Power Status of Office Equipment in the USA  

SciTech Connect

Office equipment is expected to be the fastest-growingsegment of commercial energy use over the next 20 years, yet many aspectsof office equipment energy use are poorly understood. User behavior, suchas turning off devices at night or enabling power management, influencesenergy use to a great extent. The computing environment also plays a roleboth in influencing user behavior and in the success of power management.Information about turn-off rates and power management rates for officeequipment was collected through a series of after-hours audits incommercial buildings. Sixteen businesses were recruited, includingoffices (small, medium and large offices in a variety of industries),schools, and medical buildings in California, Georgia, and Pennsylvania.The types and power states of office equipment found in these buildingswere recorded and analyzed. This article presents these data forcomputers, monitors, printers, copiers, fax machines, scanners andmulti-function devices. These data can be used to improve estimates ofboth energy consumption for these devices and savings from energyconservation efforts.

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

2005-10-13T23:59:59.000Z

454

Jet acollinearity and quark form factors  

Science Conference Proceedings (OSTI)

Perturbative Quantum Chromodynamic corrections involving the emission of gluons which are both soft and collinear are discussed for both hadronic production of lepton pairs and e/sup +/e/sup -/ annihilation. The result is an exponential, double logarithmic quark form factor. The effect of sub-leading corrections and the possible experimental observation of the form factor are discussed.

Stirling, W.J.

1980-01-01T23:59:59.000Z

455

MODELING TRITIUM TRANSPORT, DEPOSITION AND RE-EMISSION  

Science Conference Proceedings (OSTI)

The atmospheric release of tritium oxide (HTO) potentially impacts human health, typically through inhalation or absorption. Due to HTO's similarity to water, vegetation will absorb HTO by solution in the leaf water and then re-emit it, creating a number of secondary sources of HTO. Currently, models used for emergency response at Savannah River Site incorporate the transport and deposition of HTO but do not provide estimates for its potential re-emission from vegetation or soil surface though re-emission could result in prolonged exposure and greater than predicted dose for an individual downwind. A simple model of HTO transport, deposition and re-emission has been developed to examine the potential increase in exposure and dose. The model simulates an initial release of HTO that moves with a mean wind and expands through diffusion as a Gaussian puff. Deposition is modeled using previous estimates of deposition velocity for HTO and re-emission is modeled using a time constant that describes how quickly HTO is transferred between the surface and atmosphere. Additional puffs are created to simulate re-emission of HTO as well as horizontal diffusion across model grid cells. An evaluation of field data indicates that the use of a re-emission module tends to improve model predictions through improved prediction of peak concentration magnitude and location. When considering dose, nearly all of the released material is included in the dose calculation when re-emission is included. Although exposure to HTO through re-emission occurs over a few hours, the incremental increase in dose is relatively small because the atmospheric concentration of re-emitted HTO is much lower than the initial release.

Viner, B.

2012-04-03T23:59:59.000Z

456

Conversion Factor  

Gasoline and Diesel Fuel Update (EIA)

Conversion Factor (Btu per cubic foot) Production Marketed... 1,110 1,106 1,105 1,106 1,109 Extraction Loss ......

457

EIA - Greenhouse Gas Emissions - Table-Figure Notes and Sources  

Gasoline and Diesel Fuel Update (EIA)

A1. Notes and Sources A1. Notes and Sources Tables Chapter 1: Greenhouse gas emissions overview Table 1. U.S. emissions of greenhouse gases, based on global warming potential, 1990-2009: Sources: Emissions: EIA estimates. Data in this table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008, DOE/EIA-0573(2008) (Washington, DC, December 2009). Global warming potentials: Intergovernmental Panel on Climate Change, Climate Change 2007: The Physical Science Basis: Errata (Cambridge, UK: Cambridge University Press, 2008), website http://ipcc-wg1.ucar.edu/wg1/Report/AR4WG1_Errata_2008-12-01.pdf. Table 2. U.S. greenhouse gas intensity and related factors, 1990-2009: Sources: Emissions: EIA estimates. Data in this table are revised from the

458

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

SciTech Connect

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

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

1981-09-01T23:59:59.000Z

459

Development of methodologies for calculating greenhouse gas emissions from electricity generation for the California climate action registry  

SciTech Connect

The California Climate Action Registry, which will begin operation in Fall 2002, is a voluntary registry for California businesses and organizations to record annual greenhouse gas emissions. Reporting of emissions in the Registry by a participant involves documentation of both ''direct'' emissions from sources that are under the entity's control and ''indirect'' emissions controlled by others. Electricity generated by an off-site power source is considered to be an indirect emission and must be included in the entity's report. Published electricity emissions factors for the State of California vary considerably due to differences in whether utility-owned out-of-state generation, non-utility generation, and electricity imports from other states are included. This paper describes the development of three methods for estimating electricity emissions factors for calculating the combined net carbon dioxide emissions from all generating facilities that provide electricity to Californians. We fi nd that use of a statewide average electricity emissions factor could drastically under- or over-estimate an entity's emissions due to the differences in generating resources among the utility service areas and seasonal variations. In addition, differentiating between marginal and average emissions is essential to accurately estimate the carbon dioxide savings from reducing electricity use. Results of this work will be taken into consideration by the Registry when finalizing its guidance for use of electricity emissions factors in calculating an entity's greenhouse gas emissions.

Price, Lynn; Marnay, Chris; Sathaye, Jayant; Murtishaw, Scott; Fisher, Diane; Phadke, Amol; Franco, Guido

2002-04-01T23:59:59.000Z

460

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

Science Conference Proceedings (OSTI)

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

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

2004-01-22T23:59:59.000Z

Note: This page contains sample records for the topic "hourly emission factors" 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

Douglas Factors  

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

The Merit Systems Protection Board in its landmark decision, Douglas vs. Veterans Administration, 5 MSPR 280, established criteria that supervisors must consider in determining an appropriate penalty to impose for an act of employee misconduct. These twelve factors are commonly referred to as Douglas Factors and have been incorporated into the Federal Aviation Administration (FAA) Personnel Management System and various FAA Labor Agreements.

462

CO2 Emissions - Puerto Rico  

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

Central America, South America, and the Caribbean Nations Puerto Rico Graphics CO2 Emissions from Puerto Rico Data graphic Data CO2 Emissions from Puerto Rico image Per capita...

463

Reducing SF6 Emissions @ PPPL  

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

96.4 88.4 Fuel Consumption Emissions 2015 1823.8 Fugitive Emissions Refrigerant 160 241.2 SF6 38360 21042.8 Scope 2 -Indirect Electricity Purchase 13816 13855 Scope 3 -...

464

BPA SF6 Emission Info  

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

BPA SF 6 Emission Info Steve Lowder - 2012.12 slide 1 Discovering Emission Locations slide 2 BPA uses a FLIR leak detection camera (other methods available) Allows leaks to...

465

Estimating Carbon Dioxide Emissions Factors for the California Electric  

E-Print Network (OSTI)

for 1990. 6 By late 1999, California's CAISO utilities had divested most of their thermal power plants By late 1999, California's CAISO utilities had divested most of their thermal power plants to independent release), processing, and delivery of fuels to the power plant; or by utilities' support services (e

466

SMALL CHAMBER MEASUREMENT OF CHEMICAL SPECIFIC EMISSION FACTORS...  

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

temperature environmental chamber. The tests were all run at 25 C, 50% relative humidity (RH) and with an area-specific ventilation rate of 1.5 cubic meters per square meter...

467

Experimental and cost analyses of a one kilowatt-hour/day domestic refrigerator-freezer  

SciTech Connect

Over the past ten years, government regulations for energy standards, coupled with the utility industry`s promotion of energy-efficient appliances, have prompted appliance manufacturers to reduce energy consumption in refrigerator-freezers by approximately 40%. Global concerns over ozone depletion have also required the appliance industry to eliminate CFC-12 and CFC-11 while concurrently improving energy efficiency to reduce greenhouse emissions. In response to expected future regulations that will be more stringent, several design options were investigated for improving the energy efficiency of a conventionally designed, domestic refrigerator-freezer. The options, such as cabinet and door insulation improvements and a high-efficiency compressor were incorporated into a prototype refrigerator-freezer cabinet and refrigeration system. Baseline energy consumption of the original 1996 production refrigerator-freezer, along with cabinet heat load and compressor calorimeter test results, were extensively documented to provide a firm basis for experimentally measured energy savings. The goal for the project was to achieve an energy consumption that is 50% below in 1993 National Appliance Energy Conservation Act (NAECA) standard for 20 ft{sup 3} (570 l) units. Based on discussions with manufacturers to determine the most promising energy-saving options, a laboratory prototype was fabricated and tested to experimentally verify the energy consumption of a unit with vacuum insulation around the freezer, increased door thicknesses, a high-efficiency compressor, a low wattage condenser fan, a larger counterflow evaporator, and adaptive defrost control.

Vineyard, E.A.; Sand, J.R.

1997-05-01T23:59:59.000Z

468

Regional emissions of air pollutants in China.  

SciTech Connect

As part of the China-MAP program, sponsored by the US National Aeronautics and Space Administration, regional inventories of air pollutants emitted in China are being characterized, in order that the atmospheric chemistry over China can be more fully understood and the resulting ambient concentrations in Chinese cities and the deposition levels to Chinese ecosystems be determined with better confidence. In addition, the contributions of greenhouse gases from China and of acidic aerosols that counteract global warming are being quantified. This paper presents preliminary estimates of the emissions of some of the major air pollutants in China: sulfur dioxide (SO{sub 2}), nitrogen oxides (NO{sub x}), carbon monoxide (CO), and black carbon (C). Emissions are estimated for each of the 27 regions of China included in the RAINS-Asia simulation model and are subsequently distributed to a 1{degree} x 1{degree} grid using appropriate disaggregation factors. Emissions from all sectors of the Chinese economy are considered, including the combustion of biofuels in rural homes. Emissions from larger power plants are calculated individually and allocated to the grid accordingly. Data for the period 1990-1995 are being developed, as well as projections for the future under alternative assumptions about economic growth and environmental control.

Streets, D. G.

1998-10-05T23:59:59.000Z

469

ELECTRON EMISSION REGULATING MEANS  

DOE Patents (OSTI)

>An electronic regulating system is described for controlling the electron emission of a cathode, for example, the cathode in a mass spectrometer. The system incorporates a transformer having a first secondary winding for the above-mentioned cathode and a second secondary winding for the above-mentioned cathode and a second secondary winding load by grid controlled vacuum tubes. A portion of the electron current emitted by the cathode is passed through a network which develops a feedback signal. The system arrangement is completed by using the feedback signal to control the vacuum tubes in the second secondary winding through a regulator tube. When a change in cathode emission occurs, the feedback signal acts to correct this change by adjusting the load on the transformer.

Brenholdt, I.R.

1957-11-19T23:59:59.000Z

470

Diesel hybridization and emissions.  

DOE Green Energy (OSTI)

The CTR Vehicle Systems and Fuels team a diesel hybrid powertrain. The goal of this experiment was to investigate and demonstrate the potential of diesel engines for hybrid electric vehicles (HEVs) in a fuel economy and emissions. The test set-up consisted of a diesel engine coupled to an electric motor driving a Continuously Variable Transmission (CVT). This hybrid drive is connected to a dynamometer and a DC electrical power source creating a vehicle context by combining advanced computer models and emulation techniques. The experiment focuses on the impact of the hybrid control strategy on fuel economy and emissions-in particular, nitrogen oxides (NO{sub x}) and particulate matter (PM). The same hardware and test procedure were used throughout the entire experiment to assess the impact of different control approaches.

Pasquier, M.; Monnet, G.

2004-04-21T23:59:59.000Z

471

Greenhouse gas emissions in biogas production systems  

E-Print Network (OSTI)

Cameron KC. Nitrous oxide emissions from two dairy pastureand land use on N 2 O emissions from an imperfectly drainedoptions for N 2 O emissions from differently managed

Dittert, Klaus; Senbayram, Mehmet; Wienforth, Babette; Kage, Henning; Muehling, Karl H

2009-01-01T23:59:59.000Z

472

CO2 Emissions - Libyan Arab Jamahiriyah  

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

Africa Libyan Arab Jamahiriyah Graphics CO2 Emissions from Libyan Arab Jamahiriyah Data graphic Data CO2 Emissions from Libyan Arab Jamahiriyah image Per capita CO2 Emission...

473

Radionuclide Air Emission Report for 2009  

E-Print Network (OSTI)

the public from airborne radionuclide emissions. We requestfor Emissions of Radionuclides Other Than Radon FromFugitive Air Emissions of Radionuclides from Diffuse Sources

Wahl, Linnea

2010-01-01T23:59:59.000Z

474

Radionuclide Air Emission Report for 2011  

E-Print Network (OSTI)

LBNL-470E-201 Radionuclide Air Emission Report for Preparedfor Emissions of Radionuclides Other Than Radon FromFugitive Air Emissions of Radionuclides from Diffuse Sources

Wahl, Linnea

2012-01-01T23:59:59.000Z

475

Continuous Emissions Monitoring Guidelines  

Science Conference Proceedings (OSTI)

Since the 2002 update of this manual, the Environmental Protection Agency (EPA) has been extremely active in its efforts to expand continuous emissions monitoring (CEM) requirements through a variety of regulatory instruments. Additional monitoring requirements have resulted from EPA's Clean Air Interstate Rule and Cross-State Air Pollution Rule. EPA attempted to impose mercury (Hg) monitoring requirements in its now-vacated Clean Air Mercury Rule. Most recently, EPA has proposed mercury, particulate mat...

2011-12-20T23:59:59.000Z

476

Trace element emissions  

SciTech Connect

The Energy & Environmental Research Center (EERC) is carrying out an investigation that will provide methods to predict the fate of selected trace elements in integrated gasification combined cycle (IGCC) and integrated gasification fuel cell (IGFC) systems to aid in the development of methods to control the emission of trace elements determined to be air toxics. The goal of this project is to identify the effects of critical chemical and physical transformations associated with trace element behavior in IGCC and IGFC systems. The trace elements included in this project are arsenic, chromium, cadmium, mercury, nickel, selenium, and lead. The research seeks to identify and fill, experimentally and/or theoretically, data gaps that currently exist on the fate and composition of trace elements. The specific objectives are to (1) review the existing literature to identify the type and quantity of trace elements from coal gasification systems, (2) perform laboratory-scale experimentation and computer modeling to enable prediction of trace element emissions, and (3) identify methods to control trace element emissions.

Benson, S.A.; Erickson, T.A.; Steadman, E.N.; Zygarlicke, C.J.; Hauserman, W.B.; Hassett, D.J.

1994-10-01T23:59:59.000Z

477

Greenhouse Gas Emissions from the Nuclear Fuel Cycle  

Science Conference Proceedings (OSTI)

Since greenhouse gases are a global concern, rather than a local concern as are some kinds of effluents, one must compare the entire lifecycle of nuclear power to alternative technologies for generating electricity. A recent critical analysis by Sovacool (2008) gives a clearer picture. "It should be noted that nuclear power is not directly emitting greenhouse gas emissions, but rather that lifecycle emissions occur through plant construction, operation, uranium mining and milling, and plant decommissioning." "[N]uclear energy is in no way 'carbon free' or 'emissions free,' even though it is much better (from purely a carbon-equivalent emissions standpoint) than coal, oil, and natural gas electricity generators, but worse than renewable and small scale distributed generators" (Sovacool 2008). According to Sovacool, at an estimated 66 g CO2 equivalent per kilowatt-hour (gCO2e/kWh), nuclear power emits 15 times less CO2 per unit electricity generated than unscrubbed coal generation (at 1050 gCO2e/kWh), but 7 times more than the best renewable, wind (at 9 gCO2e/kWh). The U.S. Nuclear Regulatory Commission (2009) has long recognized CO2 emissions in its regulations concerning the environmental impact of the nuclear fuel cycle. In Table S-3 of 10 CFR 51.51(b), NRC lists a 1000-MW(electric) nuclear plant as releasing as much CO2 as a 45-MW(e) coal plant. A large share of the carbon emissions from the nuclear fuel cycle is due to the energy consumption to enrich uranium by the gaseous diffusion process. A switch to either gas centrifugation or laser isotope separation would dramatically reduce the carbon emissions from the nuclear fuel cycle.

Strom, Daniel J.

2010-03-01T23:59:59.000Z

478

Instructor's Name Email Address Office Hours Allen, Chris christopherallen@pdx.edu W 3:00-4:00pm CH 366  

E-Print Network (OSTI)

Instructor's Name Email Address Office Hours Office Location Allen, Chris christopherallen CH 361 Fall 2011 Instructor Office Hours #12;Pickett-Cooper, Patty pickettp@pdx.edu F 11:30-1:30pm CH

479

Electrochemical sharpening of field emission tips  

DOE Patents (OSTI)

A method for sharpening field emitter tips by electroetching/polishing. In gated field emitters, it is very important to initiate electron emission at the lowest possible voltage and thus the composition of the emitter and the gate, as well as the emitter-gate structure, are important factors. This method of sharpening the emitter tips uses the grid as a counter electrode in electroetching of the emitters, which can produce extremely sharp emitter tips as well as remove asperities and other imperfections in the emitters, each in relation to the specific grid hole in which it resides. This has the effect of making emission more uniform among the emitters as well as lowering the turn-on voltage.

Bernhardt, Anthony F. (Berkeley, CA)

1999-01-01T23:59:59.000Z

480

EIA - AEO2010 - Emissions projections  

Gasoline and Diesel Fuel Update (EIA)

Emissions Projections Emissions Projections Annual Energy Outlook 2010 with Projections to 2035 Emissions Projections Figure 93. Carbon dioxide emissions by sector and fuel, 2008 and 2035 Click to enlarge » Figure source and data excel logo Figure 94. Sulfur dioxide emissions from electricity generation, 2000-2035 Click to enlarge » Figure source and data excel logo Figure 95. Nitrogen oxide emissions from electricity generation, 2000-2035 Click to enlarge » Figure source and data excel logo Growth of carbon dioxide emissions slows in the projections Federal and State energy policies recently enacted will stimulate increased use of renewable technologies and efficiency improvements in the future, slowing the growth of energy-related CO2 emissions through 2035. In the Reference case, emissions do not exceed pre-recession 2007 levels until 2025. In 2035, energy-related CO2 emissions total 6,320 million metric tons, about 6 percent higher than in 2007 and 9 percent higher than in 2008 (Figure 93). On average, emissions in the Reference case grow by 0.3 percent per year from 2008 to 2035, compared with 0.7 percent per year from 1980 to 2008.

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481

Environmental software systems for emission inventories  

Science Conference Proceedings (OSTI)

Atmospheric emission inventories are important tools for environmental decision making. The need to include transparency and reproducibility in emission calculation also fostered the development of environmental software systems for emission inventories. ... Keywords: Emission inventory theory, Model validation, Upper Austria

Wilfried Winiwarter; Gerald Schimak

2005-12-01T23:59:59.000Z

482

Nitrogen oxide emissions from coal fired MHD plants  

DOE Green Energy (OSTI)

In this topical report, the nitrogen oxide emission issues from a coal fired MHD steam combined cycle power plant are summarized, both from an experimental and theoretical/calculational viewpoint. The concept of staging the coal combustion to minimize NO{sub x} is described. The impact of NO{sub x} control design choices on electrical conductivity and overall plant efficiency are described. The results of the NO{sub x} measurements in over 3,000 hours of coal fired testing are summarized. A chemical kinetics model that was used to model the nooks decomposition is described. Finally, optimum design choices for a low nooks plant are discussed and it is shown that the MHD Steam Coal Fired Combined Cycle Power Plant can be designed to operate with nooks emissions less than 0.05 lbm/MMBTU.

Chapman, J.N. [ed.

1996-03-01T23:59:59.000Z

483

Positron Emission Tomography (PET)  

DOE R&D Accomplishments (OSTI)

Positron emission tomography (PET) assesses biochemical processes in the living subject, producing images of function rather than form. Using PET, physicians are able to obtain not the anatomical information provided by other medical imaging techniques, but pictures of physiological activity. In metaphoric terms, traditional imaging methods supply a map of the body's roadways, its, anatomy; PET shows the traffic along those paths, its biochemistry. This document discusses the principles of PET, the radiopharmaceuticals in PET, PET research, clinical applications of PET, the cost of PET, training of individuals for PET, the role of the United States Department of Energy in PET, and the futures of PET.

Welch, M. J.

1990-01-00T23:59:59.000Z

484

[14] DIRECT TRANSFER ELECTROPHORESIS 187 which usually takes less than an hour. The database should be monitored  

E-Print Network (OSTI)

[14] DIRECT TRANSFER ELECTROPHORESIS 187 which usually takes less than an hour. The database should MemorialScholarship, and M.S.C. by AppliedBiosystems. [14] DNA Sequencing with Direct Transfer are preparative electrophoresis methods and direct transfer electro- phoresis. ~°In direct transfer

Church, George M.

485

Energy savings can be communicated in terms of kilowatt hours (energy), carbon (climate change) or pounds (cost).  

E-Print Network (OSTI)

AIM Energy savings can be communicated in terms of kilowatt hours (energy), carbon (climate change for saving energy and impact subsequent perceptions and behaviour. A particular focus here is behaviour beyond immediate energy consumption behaviour, i.e., more general environmental behaviours. SOCIAL VALUES

McAuley, Derek

486

Evaluation of Cold-Season Precipitation Forecasts Generated by the Hourly Updating High-Resolution Rapid Refresh Model  

Science Conference Proceedings (OSTI)

The hourly updating High-Resolution Rapid Refresh (HRRR) model is evaluated with regard to its ability to predict the areal extent of cold-season precipitation and accurately depict the timing and location of regions of snow, rain, and mixed-phase ...

Kyoko Ikeda; Matthias Steiner; James Pinto; Curtis Alexander

2013-08-01T23:59:59.000Z

487

EIA - Greenhouse Gas Emissions Overview  

Gasoline and Diesel Fuel Update (EIA)

1. Greenhouse Gas Emissions Overview 1. Greenhouse Gas Emissions Overview 1.1 Total emissions Total U.S. anthropogenic (human-caused) greenhouse gas emissions in 2009 were 5.8 percent below the 2008 total (Table 1). The decline in total emissions-from 6,983 million metric tons carbon dioxide equivalent (MMTCO2e) in 2008 to 6,576 MMTCO2e in 2009-was the largest since emissions have been tracked over the 1990-2009 time frame. It was largely the result of a 419-MMTCO2e drop in carbon dioxide (CO2) emissions (7.1 percent). There was a small increase of 7 MMTCO2e (0.9 percent) in methane (CH4) emissions, and an increase of 8 MMTCO2e (4.9 percent), based on partial data, in emissions of man-made gases with high global warming potentials (high-GWP gases). (Draft estimates for emissions of HFC and PFC

488

Zero emission coal  

DOE Green Energy (OSTI)

We discuss a novel, emission-free process for producing hydrogen or electricity from coal. Even though we focus on coal, the basic design is compatible with any carbonaceous fuel. The process uses cyclical carbonation of calcium oxide to promote the production of hydrogen from carbon and water. The carbonation of the calcium oxide removes carbon dioxide from the reaction products and provides the additional energy necessary to complete hydrogen production without additional combustion of carbon. The calcination of the resulting calcium carbonate is accomplished using the high temperature waste heat from solid oxide fuel cells (SOFC), which generate electricity from hydrogen fuel. Converting waste heat back to useful chemical energy allows the process to achieve very high conversion efficiency from fuel energy to electrical energy. As the process is essentially closed-loop, the process is able to achieve zero emissions if the concentrated exhaust stream of CO{sub 2} is sequestered. Carbon dioxide disposal is accomplished by the production of magnesium carbonate from ultramafic rock. The end products of the sequestration process are stable naturally occurring minerals. Sufficient rich ultramafic deposits exist to easily handle all the world's coal.

Ziock, H.; Lackner, K.

2000-08-01T23:59:59.000Z

489

Formaldehyde and Other Volatile Organic Chemical Emissions in Four FEMA  

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

Formaldehyde and Other Volatile Organic Chemical Emissions in Four FEMA Formaldehyde and Other Volatile Organic Chemical Emissions in Four FEMA Temporary Housing Units Title Formaldehyde and Other Volatile Organic Chemical Emissions in Four FEMA Temporary Housing Units Publication Type Journal Article Year of Publication 2009 Authors Maddalena, Randy L., Marion L. Russell, Douglas P. Sullivan, and Michael G. Apte Journal Environmental Science and Technology Volume 43 Start Page Chapter Pagination 5626-5632 Publisher Lawrence Berkeley National Laboratory Abstract Four unoccupied FEMA temporary housing units (THUs) were studied to assess their indoor emissions of volatile organic compounds including formaldehyde. Measurement of whole-THUVOC and aldehyde emission factors (µg h-1 per m2 of floor area) for each of the four THUs were made at FEMA's Purvis MS staging yard using a mass balance approach. Measurements were made in the morning, and again in the afternoon in each THU. Steady-state indoor formaldehydeconcentrations ranged from 378 µg m-3 (0.31ppm) to 632 µg m-3 (0.52 ppm) in the AM, and from 433 µg m-3 (0.35 ppm) to 926 µg m-3 (0.78 ppm) in the PM. THU air exchange rates ranged from 0.15 h-1 to 0.39 h-1. A total of 45 small (approximately 0.025 m2) samples of surface material, 16 types, were collected directly from the four THUs and shipped to Lawrence Berkeley Laboratory. The material samples were analyzed for VOC and aldehyde emissions in small stainless steel chambers using a standard, accurate mass balance method. Quantification of VOCs was done via gas chromatography - mass spectrometry and low molecular weight aldehydes via high performance liquid chromatography. Material specific emission factors (µg h-1 per m2 of material) were quantified. Approximately 80 unique VOCs were tentatively identified in the THU field samples, of which forty-five were quantified either because of their toxicological significance or because their concentrations were high. Whole-trailer and materialspecific emission factors were calculated for 33 compounds. The THU emission factors and those from their component materials were compared against those measured from other types of housing and the materials used in their construction. Whole THU emission factors for most VOCs were typically similar to those from comparative housing. The three exceptions were exceptionally large emissions of formaldehyde and TMPD-DIB (a common plasticizer in vinyl products), and somewhat elevated for phenol. Of these three compounds, formaldehyde was theonly one with toxicological significance at the observed concentrations. Whole THU formaldehyde emissions ranged from 173 to 266 µg m-2 h-1 in the morning and 257 to 347 µg m-2 h-1 in the afternoon. Median formaldehyde emissions in previously studied site-built and manufactured homes were 31 and 45 µg m-2 h-1, respectively. Only one of the composite wood materials that was tested appeared to exceed the HUD formaldehyde emission standard (430 µg/m2 h-1 for particleboard and 130 µg/m2 h-1 for plywood). The high loading factor (materialsurface area divided by THU volume) of composite wood products in the THUs and the low fresh air exchange relative to the material surface area may be responsible for the excessive concentrations observed for some of the VOCs and formaldehyde

490

Quantification of Black Carbon and Other Pollutant Emissions from a  

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

Quantification of Black Carbon and Other Pollutant Emissions from a Quantification of Black Carbon and Other Pollutant Emissions from a Traditional and an Improved Cookstove Title Quantification of Black Carbon and Other Pollutant Emissions from a Traditional and an Improved Cookstove Publication Type Report LBNL Report Number LBNL-6062E Year of Publication 2010 Authors Kirchstetter, Thomas W., Chelsea Preble, Odelle L. Hadley, and Ashok J. Gadgil Keywords aethalometer, Berkeley Darfur Stove, black carbon, carbon monoxide, climate change, DustTrak, global warming, improved cookstoves, indoor air quality, LBNL Stove Testing Facility, particulate matter, photoacoustic absorption spectrometer, pollutant emission factor, three-stone fire Abstract Traditional methods of cooking in developing regions of the world emit pollutants that

491

Just the Basics: Vehicle Emissions  

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

Are Exhaust Are Exhaust Emissions? In most heavily settled areas of the U.S., the personal automobile is the single greatest producer of harmful vehicle exhaust emissions. Exhaust emissions are generated by the fuel-air mixture burning in internal combus- tion engines, both gasoline-powered and diesel-powered. Emissions are also produced by fuel evaporation within the vehicle when it is stopped, and again during fueling. The constituents of car (gasoline and diesel) and truck (diesel) emissions vary depending on fuel type and indi- vidual vehicle operating characteris- tics. The bulk of vehicular emissions are composed of water vapor, carbon dioxide, nitrogen, and oxygen (in unconsumed air). There are other pollutants, such as carbon monoxide, nitrogen oxides, unburned fuel, and

492

Regulated Emissions from Biodiesel Tested in Heavy-Duty Engines Meeting 2004 Emission Standards  

DOE Green Energy (OSTI)

Biodiesel produced from soybean oil, canola oil, yellow grease, and beef tallow was tested in two heavy-duty engines. The biodiesels were tested neat and as 20% by volume blends with a 15 ppm sulfur petroleum-derived diesel