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


1

USLCI eGrid region electricity datasets, 2008 Datasets are for...  

Open Energy Info (EERE)

RMPA, SPNO, SPSO, SRMV, SRMW, SRSO, SRTV, SRVC) for 2008.  The data is provided in life cycle inventory forms (xls and xml) .  A module report and a detailed spreadsheet...

2

USLCI eGrid region electricity datasets, 2008 | OpenEI  

Open Energy Info (EERE)

eGrid region electricity datasets, 2008 eGrid region electricity datasets, 2008 Dataset Summary Description Datasets are for the US electricity grid system for eGrid regions (AKGD, AKMS, AZNM, CAMX, ERCT, FRCC, HIMS, HIOA, MROE, MROW, NEWE, NWPP, NYCW, NYLI, NYUP, RFCE, RFCM, RFCW, RMPA, SPNO, SPSO, SRMV, SRMW, SRSO, SRTV, SRVC) for 2008. The data is provided in life cycle inventory forms (xls and xml) . A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the eGrid regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the eGrid regions and is based on the EIA electricity reports for all power plants in the US. Detailed information on the methodology is included in the module

3

eGrid | OpenEI  

Open Energy Info (EERE)

eGrid eGrid Dataset Summary Description Datasets are for the US electricity grid system for eGrid regions (AKGD, AKMS, AZNM, CAMX, ERCT, FRCC, HIMS, HIOA, MROE, MROW, NEWE, NWPP, NYCW, NYLI, NYUP, RFCE, RFCM, RFCW, RMPA, SPNO, SPSO, SRMV, SRMW, SRSO, SRTV, SRVC) for 2008. The data is provided in life cycle inventory forms (xls and xml) . A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the eGrid regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the eGrid regions Source USLCI Database Date Released Unknown Date Updated Unknown Keywords eGrid Electricity grid LCI life cycle inventory US Data application/zip icon egrid_electricity_lci_datasets_2008.zip (zip, 7 MiB)

4

U.S. Energy Information Administration | Annual Energy Outlook 2011  

Gasoline and Diesel Fuel Update (EIA)

229 229 U.S. Energy Information Administration | Annual Energy Outlook 2011 Regional maps Figure F2. Electricity market module regions Source: U.S. Energy Information Administration, Office of Energy Analysis. 12 11 10 19 22 21 20 15 14 9 13 7 5 6 1 2 3 4 16 17 8 18 1. ERCT ERCOT All 2. FRCC FRCC All 3. MROE MRO East 4. MROW MRO West 5. NEWE NPCC New England 6. NYCW NPCC NYC/Westchester 7. NYLI NPCC Long Island 8. NYUP NPCC Upstate NY 9. RFCE RFC East 10. RFCM RFC Michigan 11. RFCW RFC West 12. SRDA SERC Delta 13. SRGW SERC Gateway 14. SRSE SERC Southeastern 15. SRCE SERC Central 16. SRVC SERC VACAR 17. SPNO SPP North 18. SPSO SPP South 19. AZNM WECC Southwest 20. CAMX WECC California 21. NWPP WECC Northwest 22. RMPA WECC Rockies U.S. Energy Information Administration | Annual Energy Outlook 2011

5

LCI | OpenEI  

Open Energy Info (EERE)

3 3 Varnish cache server LCI Dataset Summary Description Datasets are for the US electricity grid system for eGrid regions (AKGD, AKMS, AZNM, CAMX, ERCT, FRCC, HIMS, HIOA, MROE, MROW, NEWE, NWPP, NYCW, NYLI, NYUP, RFCE, RFCM, RFCW, RMPA, SPNO, SPSO, SRMV, SRMW, SRSO, SRTV, SRVC) for 2008. The data is provided in life cycle inventory forms (xls and xml) . A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the eGrid regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the eGrid regions Source USLCI Database Date Released Unknown Date Updated Unknown Keywords eGrid Electricity grid LCI life cycle inventory US Data application/zip icon egrid_electricity_lci_datasets_2008.zip (zip, 7 MiB)

6

life cycle inventory | OpenEI  

Open Energy Info (EERE)

life cycle inventory life cycle inventory Dataset Summary Description Datasets are for the US electricity grid system for eGrid regions (AKGD, AKMS, AZNM, CAMX, ERCT, FRCC, HIMS, HIOA, MROE, MROW, NEWE, NWPP, NYCW, NYLI, NYUP, RFCE, RFCM, RFCW, RMPA, SPNO, SPSO, SRMV, SRMW, SRSO, SRTV, SRVC) for 2008. The data is provided in life cycle inventory forms (xls and xml) . A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the eGrid regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the eGrid regions Source USLCI Database Date Released Unknown Date Updated Unknown Keywords eGrid Electricity grid LCI life cycle inventory US Data application/zip icon egrid_electricity_lci_datasets_2008.zip (zip, 7 MiB)

7

Analysis of the Clean Energy Standard Act of 2012  

Gasoline and Diesel Fuel Update (EIA)

4 4 Appendix C: Map of NEMS Electricity Market Module Regions 1 Texas Regional Entity (ERCT) 12 SERC / Delta (SRDA) 2 Florida Reliability Coordinating Council (FRCC) 13 SERC / Gateway (SRGW) 3 Midwest Reliability Organization / East (MROE) 14 SERC / Southeastern (SRSE) 4 Midwest Reliability Organization / West (MROW) 15 SERC / Central (SRCE) 5 NPCC / Northeast (NEWE) 16 SERC / Virginia-Carolina (SRVC) 6 NPCC / NYC-Westchester (NYCW) 17 Southwest Power Pool / North (SPNO) 7 NPCC / Long Island (NYLI) 18 Southwest Power Pool / South (SPSO) 8 NPCC / Upstate New York (NYUP) 19 WECC / Southwest (AZNM) 9 Reliability First Corporation / East (RFCE) 20 WECC / California (CAMX) 10 Reliability First Corporation / Michigan (RFCM) 21 WECC / Northwest Power Pool Area (NWPP)

8

HORIZON SENSING  

Science Conference Proceedings (OSTI)

With the aid of a DOE grant (No. DE-FC26-01NT41050), Stolar Research Corporation (Stolar) developed the Horizon Sensor (HS) to distinguish between the different layers of a coal seam. Mounted on mining machine cutter drums, HS units can detect or sense the horizon between the coal seam and the roof and floor rock, providing the opportunity to accurately mine the section of the seam most desired. HS also enables accurate cutting of minimum height if that is the operator's objective. Often when cutting is done out-of-seam, the head-positioning function facilitates a fixed mining height to minimize dilution. With this technology, miners can still be at a remote location, yet cut only the clean coal, resulting in a much more efficient overall process. The objectives of this project were to demonstrate the feasibility of horizon sensing on mining machines and demonstrate that Horizon Sensing can allow coal to be cut cleaner and more efficiently. Stolar's primary goal was to develop the Horizon Sensor (HS) into an enabling technology for full or partial automation or ''agile mining''. This technical innovation (R&D 100 Award Winner) is quickly demonstrating improvements in productivity and miner safety at several prominent coal mines in the United States. In addition, the HS system can enable the cutting of cleaner coal. Stolar has driven the HS program on the philosophy that cutting cleaner coal means burning cleaner coal. The sensor, located inches from the cutting bits, is based upon the physics principles of a Resonant Microstrip Patch Antenna (RMPA). When it is in proximity of the rock-coal interface, the RMPA impedance varies depending on the thickness of uncut coal. The impedance is measured by the computer-controlled electronics and then sent by radio waves to the mining machine. The worker at the machine can read the data via a Graphical User Interface, displaying a color-coded image of the coal being cut, and direct the machine appropriately. The Horizon Sensor program began development in 1998 and experienced three major design phases. The final version, termed HS-3, was commissioned in 2000 with the assistance of the DOE-Mining Industry of the Future program, commercialized in 2002, and has been used 14 times in 12 different mines within the United States. The Horizon Sensor has applications in both underground and surface mining operations. This technology is primarily used in the coal industry, but is also used to mine trona and potash. All horizon sensor components have Mine Safety and Health Administration (MSHA) (United States) and IEC (International) certification. Horizon Sensing saves energy by maximizing cutting efficiency, cutting only desired material. This desired material is cleaner fuel, therefore reducing pollutants to the atmosphere when burned and burning more efficiently. Extracting only desired material increases productivity by reducing or eliminating the cleaning step after extraction. Additionally, this technology allows for deeper mining, resulting in more material gained from one location. The remote sensing tool allows workers to operate the machinery away from the hazards of cutting coal, including noise, breathing dust and gases, and coal and rock splintering and outbursts. The HS program has primarily revolved around the development of the technology. However, the end goal of the program has always been the commercialization of the technology and only within the last 2 years of the program has this goal been realized. Real-time horizon sensing on mining machines is becoming an industry tool. Detailed monitoring of system function, user experience, and mining benefits is ongoing.

Larry G. Stolarczyk

2003-03-18T23:59:59.000Z